├── .bazelrc ├── .bazelversion ├── .devcontainer ├── Dockerfile ├── devcontainer.json └── setup.sh ├── .github ├── ISSUE_TEMPLATE │ ├── 00-bug-template.md │ ├── 10-feature-request.md │ ├── 20-documentation-issue.md │ └── config.yml ├── bot_config.yml └── workflows │ ├── auto-assignment.yaml │ ├── format.yml │ ├── lint.yml │ ├── pull_workflow.yaml │ ├── scripts │ ├── auto-assignment.js │ └── pull_workflow.js │ └── stale-issues-pr.yml ├── .gitignore ├── .vscode └── settings.json ├── BUILD ├── CONTRIBUTING.md ├── ISSUE_TEMPLATE.md ├── LICENSE ├── README.md ├── SECURITY.md ├── WORKSPACE ├── oss_setup.py ├── pip_build.py ├── requirements.txt ├── setup.cfg ├── shell ├── format.sh └── lint.sh ├── tf_keras ├── BUILD ├── __init__.py ├── activations.py ├── activations_test.py ├── api │ ├── BUILD │ ├── api_gen.bzl │ ├── api_init_files.bzl │ ├── extractor_wrapper.py │ ├── generator_wrapper.py │ ├── golden │ │ ├── BUILD │ │ ├── v1 │ │ │ ├── tensorflow.keras.-model.pbtxt │ │ │ ├── tensorflow.keras.-sequential.pbtxt │ │ │ ├── tensorflow.keras.__internal__.layers.-base-random-layer.pbtxt │ │ │ ├── tensorflow.keras.__internal__.layers.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-average-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-average-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-average-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-batch-normalization.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-conv2-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-conv3-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-conv3-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-dense.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-dropout.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-flatten.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-input-spec.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-layer.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-max-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-max-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-max-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-separable-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.-separable-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.experimental.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.layers.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-basic-l-s-t-m-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-basic-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-device-wrapper.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-dropout-wrapper.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-g-r-u-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-l-s-t-m-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-l-s-t-m-state-tuple.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-multi-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.-residual-wrapper.pbtxt │ │ │ ├── tensorflow.keras.__internal__.legacy.rnn_cell.pbtxt │ │ │ ├── tensorflow.keras.__internal__.pbtxt │ │ │ ├── tensorflow.keras.activations.pbtxt │ │ │ ├── tensorflow.keras.applications.convnext.pbtxt │ │ │ ├── tensorflow.keras.applications.densenet.pbtxt │ │ │ ├── tensorflow.keras.applications.efficientnet.pbtxt │ │ │ ├── tensorflow.keras.applications.efficientnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.imagenet_utils.pbtxt │ │ │ ├── tensorflow.keras.applications.inception_resnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.inception_v3.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet_v3.pbtxt │ │ │ ├── tensorflow.keras.applications.nasnet.pbtxt │ │ │ ├── tensorflow.keras.applications.pbtxt │ │ │ ├── tensorflow.keras.applications.regnet.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet50.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet_rs.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.vgg16.pbtxt │ │ │ ├── tensorflow.keras.applications.vgg19.pbtxt │ │ │ ├── tensorflow.keras.applications.xception.pbtxt │ │ │ ├── tensorflow.keras.backend.name_scope.pbtxt │ │ │ ├── tensorflow.keras.backend.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-base-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-c-s-v-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-callback-list.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-early-stopping.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-history.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-lambda-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-model-checkpoint.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-progbar-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-remote-monitor.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-sidecar-evaluator-model-export.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-tensor-board.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt │ │ │ ├── tensorflow.keras.callbacks.experimental.-update-embedding-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.experimental.pbtxt │ │ │ ├── tensorflow.keras.callbacks.pbtxt │ │ │ ├── tensorflow.keras.constraints.-constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.-max-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.-min-max-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.-non-neg.pbtxt │ │ │ ├── tensorflow.keras.constraints.-radial-constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.-unit-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.max_norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.min_max_norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.non_neg.pbtxt │ │ │ ├── tensorflow.keras.constraints.pbtxt │ │ │ ├── tensorflow.keras.constraints.radial_constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.unit_norm.pbtxt │ │ │ ├── tensorflow.keras.datasets.boston_housing.pbtxt │ │ │ ├── tensorflow.keras.datasets.cifar10.pbtxt │ │ │ ├── tensorflow.keras.datasets.cifar100.pbtxt │ │ │ ├── tensorflow.keras.datasets.fashion_mnist.pbtxt │ │ │ ├── tensorflow.keras.datasets.imdb.pbtxt │ │ │ ├── tensorflow.keras.datasets.mnist.pbtxt │ │ │ ├── tensorflow.keras.datasets.pbtxt │ │ │ ├── tensorflow.keras.datasets.reuters.pbtxt │ │ │ ├── tensorflow.keras.estimator.pbtxt │ │ │ ├── tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt │ │ │ ├── tensorflow.keras.experimental.-cosine-decay.pbtxt │ │ │ ├── tensorflow.keras.experimental.-linear-model.pbtxt │ │ │ ├── tensorflow.keras.experimental.-sequence-features.pbtxt │ │ │ ├── tensorflow.keras.experimental.-wide-deep-model.pbtxt │ │ │ ├── tensorflow.keras.experimental.pbtxt │ │ │ ├── tensorflow.keras.export.-export-archive.pbtxt │ │ │ ├── tensorflow.keras.export.pbtxt │ │ │ ├── tensorflow.keras.initializers.-constant.pbtxt │ │ │ ├── tensorflow.keras.initializers.-identity.pbtxt │ │ │ ├── tensorflow.keras.initializers.-initializer.pbtxt │ │ │ ├── tensorflow.keras.initializers.-ones.pbtxt │ │ │ ├── tensorflow.keras.initializers.-orthogonal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-random-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-random-uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.-truncated-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-variance-scaling.pbtxt │ │ │ ├── tensorflow.keras.initializers.-zeros.pbtxt │ │ │ ├── tensorflow.keras.initializers.constant.pbtxt │ │ │ ├── tensorflow.keras.initializers.glorot_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.glorot_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.he_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.he_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.identity.pbtxt │ │ │ ├── tensorflow.keras.initializers.lecun_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.lecun_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.ones.pbtxt │ │ │ ├── tensorflow.keras.initializers.orthogonal.pbtxt │ │ │ ├── tensorflow.keras.initializers.pbtxt │ │ │ ├── tensorflow.keras.initializers.random_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.random_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.truncated_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.zeros.pbtxt │ │ │ ├── tensorflow.keras.layers.-abstract-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-activation.pbtxt │ │ │ ├── tensorflow.keras.layers.-activity-regularization.pbtxt │ │ │ ├── tensorflow.keras.layers.-add.pbtxt │ │ │ ├── tensorflow.keras.layers.-additive-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-alpha-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-batch-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-bidirectional.pbtxt │ │ │ ├── tensorflow.keras.layers.-category-encoding.pbtxt │ │ │ ├── tensorflow.keras.layers.-center-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.-concatenate.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv1-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv2-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv3-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution1-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution2-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution3-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt │ │ │ ├── tensorflow.keras.layers.-dense-features.pbtxt │ │ │ ├── tensorflow.keras.layers.-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.-depthwise-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-depthwise-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-discretization.pbtxt │ │ │ ├── tensorflow.keras.layers.-dot.pbtxt │ │ │ ├── tensorflow.keras.layers.-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-e-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-einsum-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.-embedding.pbtxt │ │ │ ├── tensorflow.keras.layers.-flatten.pbtxt │ │ │ ├── tensorflow.keras.layers.-g-r-u-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-g-r-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-gaussian-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-gaussian-noise.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-hashing.pbtxt │ │ │ ├── tensorflow.keras.layers.-identity.pbtxt │ │ │ ├── tensorflow.keras.layers.-input-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.-input-spec.pbtxt │ │ │ ├── tensorflow.keras.layers.-l-s-t-m-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-l-s-t-m.pbtxt │ │ │ ├── tensorflow.keras.layers.-lambda.pbtxt │ │ │ ├── tensorflow.keras.layers.-layer-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.-leaky-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-locally-connected1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-locally-connected2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-masking.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-maximum.pbtxt │ │ │ ├── tensorflow.keras.layers.-minimum.pbtxt │ │ │ ├── tensorflow.keras.layers.-multi-head-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-multiply.pbtxt │ │ │ ├── tensorflow.keras.layers.-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-p-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-permute.pbtxt │ │ │ ├── tensorflow.keras.layers.-r-n-n.pbtxt │ │ │ ├── tensorflow.keras.layers.-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-repeat-vector.pbtxt │ │ │ ├── tensorflow.keras.layers.-rescaling.pbtxt │ │ │ ├── tensorflow.keras.layers.-reshape.pbtxt │ │ │ ├── tensorflow.keras.layers.-resizing.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-convolution1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-convolution2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-simple-r-n-n.pbtxt │ │ │ ├── tensorflow.keras.layers.-softmax.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt │ │ │ ├── tensorflow.keras.layers.-subtract.pbtxt │ │ │ ├── tensorflow.keras.layers.-thresholded-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-time-distributed.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-wrapper.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.-einsum-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.-random-fourier-features.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-category-encoding.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-center-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-discretization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-hashing.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-rescaling.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-resizing.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.pbtxt │ │ │ ├── tensorflow.keras.layers.pbtxt │ │ │ ├── tensorflow.keras.losses.-binary-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-binary-focal-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-focal-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.-cosine-similarity.pbtxt │ │ │ ├── tensorflow.keras.losses.-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.-huber.pbtxt │ │ │ ├── tensorflow.keras.losses.-k-l-divergence.pbtxt │ │ │ ├── tensorflow.keras.losses.-log-cosh.pbtxt │ │ │ ├── tensorflow.keras.losses.-loss.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-absolute-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-absolute-percentage-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-squared-logarithmic-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-poisson.pbtxt │ │ │ ├── tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-squared-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.pbtxt │ │ │ ├── tensorflow.keras.metrics.-a-u-c.pbtxt │ │ │ ├── tensorflow.keras.metrics.-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-cosine-similarity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-f-beta-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-f1-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-false-negatives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-false-positives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-k-l-divergence.pbtxt │ │ │ ├── tensorflow.keras.metrics.-log-cosh-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-absolute-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-absolute-percentage-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-metric-wrapper.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-relative-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-squared-logarithmic-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-tensor.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean.pbtxt │ │ │ ├── tensorflow.keras.metrics.-metric.pbtxt │ │ │ ├── tensorflow.keras.metrics.-one-hot-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-one-hot-mean-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-poisson.pbtxt │ │ │ ├── tensorflow.keras.metrics.-precision-at-recall.pbtxt │ │ │ ├── tensorflow.keras.metrics.-precision.pbtxt │ │ │ ├── tensorflow.keras.metrics.-r2-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-recall-at-precision.pbtxt │ │ │ ├── tensorflow.keras.metrics.-recall.pbtxt │ │ │ ├── tensorflow.keras.metrics.-root-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sensitivity-at-specificity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-top-k-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-specificity-at-sensitivity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-squared-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sum.pbtxt │ │ │ ├── tensorflow.keras.metrics.-top-k-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-true-negatives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-true-positives.pbtxt │ │ │ ├── tensorflow.keras.metrics.pbtxt │ │ │ ├── tensorflow.keras.mixed_precision.-loss-scale-optimizer.pbtxt │ │ │ ├── tensorflow.keras.mixed_precision.pbtxt │ │ │ ├── tensorflow.keras.models.-linear-model.pbtxt │ │ │ ├── tensorflow.keras.models.-model.pbtxt │ │ │ ├── tensorflow.keras.models.-sequential.pbtxt │ │ │ ├── tensorflow.keras.models.-wide-deep-model.pbtxt │ │ │ ├── tensorflow.keras.models.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adamax.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-ftrl.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-nadam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-optimizer.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adamax.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-ftrl.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-nadam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-optimizer.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.pbtxt │ │ │ ├── tensorflow.keras.optimizers.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-cosine-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-piecewise-constant-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.pbtxt │ │ │ ├── tensorflow.keras.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.sequence.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.text.-tokenizer.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.text.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l1-l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l1.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-regularizer.pbtxt │ │ │ ├── tensorflow.keras.regularizers.l1.pbtxt │ │ │ ├── tensorflow.keras.regularizers.l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.pbtxt │ │ │ ├── tensorflow.keras.saving.custom_object_scope.pbtxt │ │ │ ├── tensorflow.keras.saving.pbtxt │ │ │ ├── tensorflow.keras.utils.-custom-object-scope.pbtxt │ │ │ ├── tensorflow.keras.utils.-deterministic-random-test-tool.pbtxt │ │ │ ├── tensorflow.keras.utils.-generator-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-ordered-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-progbar.pbtxt │ │ │ ├── tensorflow.keras.utils.-sequence-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-sequence.pbtxt │ │ │ ├── tensorflow.keras.utils.-steps-per-execution-tuner.pbtxt │ │ │ ├── tensorflow.keras.utils.custom_object_scope.pbtxt │ │ │ ├── tensorflow.keras.utils.legacy.pbtxt │ │ │ └── tensorflow.keras.utils.pbtxt │ │ └── v2 │ │ │ ├── tensorflow.keras.-model.pbtxt │ │ │ ├── tensorflow.keras.-sequential.pbtxt │ │ │ ├── tensorflow.keras.__internal__.-keras-tensor.pbtxt │ │ │ ├── tensorflow.keras.__internal__.-ragged-keras-tensor.pbtxt │ │ │ ├── tensorflow.keras.__internal__.-sparse-keras-tensor.pbtxt │ │ │ ├── tensorflow.keras.__internal__.backend.pbtxt │ │ │ ├── tensorflow.keras.__internal__.layers.-base-dense-attention.pbtxt │ │ │ ├── tensorflow.keras.__internal__.layers.-base-random-layer.pbtxt │ │ │ ├── tensorflow.keras.__internal__.layers.pbtxt │ │ │ ├── tensorflow.keras.__internal__.losses.-loss-function-wrapper.pbtxt │ │ │ ├── tensorflow.keras.__internal__.losses.pbtxt │ │ │ ├── tensorflow.keras.__internal__.models.pbtxt │ │ │ ├── tensorflow.keras.__internal__.optimizers.pbtxt │ │ │ ├── tensorflow.keras.__internal__.pbtxt │ │ │ ├── tensorflow.keras.__internal__.utils.pbtxt │ │ │ ├── tensorflow.keras.activations.pbtxt │ │ │ ├── tensorflow.keras.applications.convnext.pbtxt │ │ │ ├── tensorflow.keras.applications.densenet.pbtxt │ │ │ ├── tensorflow.keras.applications.efficientnet.pbtxt │ │ │ ├── tensorflow.keras.applications.efficientnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.imagenet_utils.pbtxt │ │ │ ├── tensorflow.keras.applications.inception_resnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.inception_v3.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.mobilenet_v3.pbtxt │ │ │ ├── tensorflow.keras.applications.nasnet.pbtxt │ │ │ ├── tensorflow.keras.applications.pbtxt │ │ │ ├── tensorflow.keras.applications.regnet.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet50.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet_rs.pbtxt │ │ │ ├── tensorflow.keras.applications.resnet_v2.pbtxt │ │ │ ├── tensorflow.keras.applications.vgg16.pbtxt │ │ │ ├── tensorflow.keras.applications.vgg19.pbtxt │ │ │ ├── tensorflow.keras.applications.xception.pbtxt │ │ │ ├── tensorflow.keras.backend.experimental.pbtxt │ │ │ ├── tensorflow.keras.backend.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-backup-and-restore.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-base-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-c-s-v-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-callback-list.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-early-stopping.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-history.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-lambda-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-model-checkpoint.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-progbar-logger.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-remote-monitor.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-sidecar-evaluator-model-export.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-tensor-board.pbtxt │ │ │ ├── tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt │ │ │ ├── tensorflow.keras.callbacks.experimental.-backup-and-restore.pbtxt │ │ │ ├── tensorflow.keras.callbacks.experimental.-update-embedding-callback.pbtxt │ │ │ ├── tensorflow.keras.callbacks.experimental.pbtxt │ │ │ ├── tensorflow.keras.callbacks.pbtxt │ │ │ ├── tensorflow.keras.constraints.-constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.-max-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.-min-max-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.-non-neg.pbtxt │ │ │ ├── tensorflow.keras.constraints.-radial-constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.-unit-norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.max_norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.min_max_norm.pbtxt │ │ │ ├── tensorflow.keras.constraints.non_neg.pbtxt │ │ │ ├── tensorflow.keras.constraints.pbtxt │ │ │ ├── tensorflow.keras.constraints.radial_constraint.pbtxt │ │ │ ├── tensorflow.keras.constraints.unit_norm.pbtxt │ │ │ ├── tensorflow.keras.datasets.boston_housing.pbtxt │ │ │ ├── tensorflow.keras.datasets.cifar10.pbtxt │ │ │ ├── tensorflow.keras.datasets.cifar100.pbtxt │ │ │ ├── tensorflow.keras.datasets.fashion_mnist.pbtxt │ │ │ ├── tensorflow.keras.datasets.imdb.pbtxt │ │ │ ├── tensorflow.keras.datasets.mnist.pbtxt │ │ │ ├── tensorflow.keras.datasets.pbtxt │ │ │ ├── tensorflow.keras.datasets.reuters.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.-layout-map.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-adam-w.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-adam.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.optimizers.pbtxt │ │ │ ├── tensorflow.keras.dtensor.experimental.pbtxt │ │ │ ├── tensorflow.keras.dtensor.pbtxt │ │ │ ├── tensorflow.keras.estimator.pbtxt │ │ │ ├── tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt │ │ │ ├── tensorflow.keras.experimental.-cosine-decay.pbtxt │ │ │ ├── tensorflow.keras.experimental.-linear-model.pbtxt │ │ │ ├── tensorflow.keras.experimental.-sequence-features.pbtxt │ │ │ ├── tensorflow.keras.experimental.-sidecar-evaluator.pbtxt │ │ │ ├── tensorflow.keras.experimental.-wide-deep-model.pbtxt │ │ │ ├── tensorflow.keras.experimental.pbtxt │ │ │ ├── tensorflow.keras.export.-export-archive.pbtxt │ │ │ ├── tensorflow.keras.export.pbtxt │ │ │ ├── tensorflow.keras.google.pbtxt │ │ │ ├── tensorflow.keras.initializers.-constant.pbtxt │ │ │ ├── tensorflow.keras.initializers.-glorot-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-glorot-uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.-he-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-he-uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.-identity.pbtxt │ │ │ ├── tensorflow.keras.initializers.-initializer.pbtxt │ │ │ ├── tensorflow.keras.initializers.-lecun-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-lecun-uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.-ones.pbtxt │ │ │ ├── tensorflow.keras.initializers.-orthogonal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-random-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-random-uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.-truncated-normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.-variance-scaling.pbtxt │ │ │ ├── tensorflow.keras.initializers.-zeros.pbtxt │ │ │ ├── tensorflow.keras.initializers.constant.pbtxt │ │ │ ├── tensorflow.keras.initializers.glorot_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.glorot_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.he_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.he_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.identity.pbtxt │ │ │ ├── tensorflow.keras.initializers.lecun_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.lecun_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.ones.pbtxt │ │ │ ├── tensorflow.keras.initializers.orthogonal.pbtxt │ │ │ ├── tensorflow.keras.initializers.pbtxt │ │ │ ├── tensorflow.keras.initializers.random_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.random_uniform.pbtxt │ │ │ ├── tensorflow.keras.initializers.truncated_normal.pbtxt │ │ │ ├── tensorflow.keras.initializers.variance_scaling.pbtxt │ │ │ ├── tensorflow.keras.initializers.zeros.pbtxt │ │ │ ├── tensorflow.keras.layers.-abstract-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-activation.pbtxt │ │ │ ├── tensorflow.keras.layers.-activity-regularization.pbtxt │ │ │ ├── tensorflow.keras.layers.-add.pbtxt │ │ │ ├── tensorflow.keras.layers.-additive-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-alpha-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-average.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-avg-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-batch-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-bidirectional.pbtxt │ │ │ ├── tensorflow.keras.layers.-category-encoding.pbtxt │ │ │ ├── tensorflow.keras.layers.-center-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.-concatenate.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv-l-s-t-m3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv1-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv2-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv3-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-conv3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution1-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution2-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution3-d-transpose.pbtxt │ │ │ ├── tensorflow.keras.layers.-convolution3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-cropping3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-dense-features.pbtxt │ │ │ ├── tensorflow.keras.layers.-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.-depthwise-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-depthwise-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-discretization.pbtxt │ │ │ ├── tensorflow.keras.layers.-dot.pbtxt │ │ │ ├── tensorflow.keras.layers.-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-e-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-einsum-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.-embedding.pbtxt │ │ │ ├── tensorflow.keras.layers.-flatten.pbtxt │ │ │ ├── tensorflow.keras.layers.-g-r-u-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-g-r-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-gaussian-dropout.pbtxt │ │ │ ├── tensorflow.keras.layers.-gaussian-noise.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-average-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-avg-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-global-max-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-group-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-hashed-crossing.pbtxt │ │ │ ├── tensorflow.keras.layers.-hashing.pbtxt │ │ │ ├── tensorflow.keras.layers.-identity.pbtxt │ │ │ ├── tensorflow.keras.layers.-input-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.-input-spec.pbtxt │ │ │ ├── tensorflow.keras.layers.-integer-lookup.pbtxt │ │ │ ├── tensorflow.keras.layers.-l-s-t-m-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-l-s-t-m.pbtxt │ │ │ ├── tensorflow.keras.layers.-lambda.pbtxt │ │ │ ├── tensorflow.keras.layers.-layer-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.-leaky-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-locally-connected1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-locally-connected2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-masking.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pool3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-max-pooling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-maximum.pbtxt │ │ │ ├── tensorflow.keras.layers.-minimum.pbtxt │ │ │ ├── tensorflow.keras.layers.-multi-head-attention.pbtxt │ │ │ ├── tensorflow.keras.layers.-multiply.pbtxt │ │ │ ├── tensorflow.keras.layers.-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-p-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-permute.pbtxt │ │ │ ├── tensorflow.keras.layers.-r-n-n.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-brightness.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-contrast.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-flip.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-height.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-rotation.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-translation.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-width.pbtxt │ │ │ ├── tensorflow.keras.layers.-random-zoom.pbtxt │ │ │ ├── tensorflow.keras.layers.-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-repeat-vector.pbtxt │ │ │ ├── tensorflow.keras.layers.-rescaling.pbtxt │ │ │ ├── tensorflow.keras.layers.-reshape.pbtxt │ │ │ ├── tensorflow.keras.layers.-resizing.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-conv1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-conv2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-convolution1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-separable-convolution2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt │ │ │ ├── tensorflow.keras.layers.-simple-r-n-n.pbtxt │ │ │ ├── tensorflow.keras.layers.-softmax.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-spatial-dropout3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-spectral-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt │ │ │ ├── tensorflow.keras.layers.-string-lookup.pbtxt │ │ │ ├── tensorflow.keras.layers.-subtract.pbtxt │ │ │ ├── tensorflow.keras.layers.-text-vectorization.pbtxt │ │ │ ├── tensorflow.keras.layers.-thresholded-re-l-u.pbtxt │ │ │ ├── tensorflow.keras.layers.-time-distributed.pbtxt │ │ │ ├── tensorflow.keras.layers.-unit-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-up-sampling3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-wrapper.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding1-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding2-d.pbtxt │ │ │ ├── tensorflow.keras.layers.-zero-padding3-d.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.-einsum-dense.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.-random-fourier-features.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.-sync-batch-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-category-encoding.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-center-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-discretization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-hashed-crossing.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-hashing.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-integer-lookup.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-contrast.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-crop.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-flip.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-height.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-rotation.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-translation.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-width.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-random-zoom.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-rescaling.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-resizing.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-string-lookup.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.pbtxt │ │ │ ├── tensorflow.keras.layers.experimental.preprocessing.pbtxt │ │ │ ├── tensorflow.keras.layers.pbtxt │ │ │ ├── tensorflow.keras.losses.-binary-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-binary-focal-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-focal-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-categorical-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.-cosine-similarity.pbtxt │ │ │ ├── tensorflow.keras.losses.-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.-huber.pbtxt │ │ │ ├── tensorflow.keras.losses.-k-l-divergence.pbtxt │ │ │ ├── tensorflow.keras.losses.-log-cosh.pbtxt │ │ │ ├── tensorflow.keras.losses.-loss.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-absolute-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-absolute-percentage-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-mean-squared-logarithmic-error.pbtxt │ │ │ ├── tensorflow.keras.losses.-poisson.pbtxt │ │ │ ├── tensorflow.keras.losses.-reduction.pbtxt │ │ │ ├── tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.losses.-squared-hinge.pbtxt │ │ │ ├── tensorflow.keras.losses.pbtxt │ │ │ ├── tensorflow.keras.metrics.-a-u-c.pbtxt │ │ │ ├── tensorflow.keras.metrics.-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-binary-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-categorical-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-cosine-similarity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-f-beta-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-f1-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-false-negatives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-false-positives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-k-l-divergence.pbtxt │ │ │ ├── tensorflow.keras.metrics.-log-cosh-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-absolute-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-absolute-percentage-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-metric-wrapper.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-relative-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-squared-logarithmic-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean-tensor.pbtxt │ │ │ ├── tensorflow.keras.metrics.-mean.pbtxt │ │ │ ├── tensorflow.keras.metrics.-metric.pbtxt │ │ │ ├── tensorflow.keras.metrics.-one-hot-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-one-hot-mean-io-u.pbtxt │ │ │ ├── tensorflow.keras.metrics.-poisson.pbtxt │ │ │ ├── tensorflow.keras.metrics.-precision-at-recall.pbtxt │ │ │ ├── tensorflow.keras.metrics.-precision.pbtxt │ │ │ ├── tensorflow.keras.metrics.-r2-score.pbtxt │ │ │ ├── tensorflow.keras.metrics.-recall-at-precision.pbtxt │ │ │ ├── tensorflow.keras.metrics.-recall.pbtxt │ │ │ ├── tensorflow.keras.metrics.-root-mean-squared-error.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sensitivity-at-specificity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sparse-top-k-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-specificity-at-sensitivity.pbtxt │ │ │ ├── tensorflow.keras.metrics.-squared-hinge.pbtxt │ │ │ ├── tensorflow.keras.metrics.-sum.pbtxt │ │ │ ├── tensorflow.keras.metrics.-top-k-categorical-accuracy.pbtxt │ │ │ ├── tensorflow.keras.metrics.-true-negatives.pbtxt │ │ │ ├── tensorflow.keras.metrics.-true-positives.pbtxt │ │ │ ├── tensorflow.keras.metrics.experimental.-py-metric.pbtxt │ │ │ ├── tensorflow.keras.metrics.experimental.pbtxt │ │ │ ├── tensorflow.keras.metrics.pbtxt │ │ │ ├── tensorflow.keras.mixed_precision.-loss-scale-optimizer.pbtxt │ │ │ ├── tensorflow.keras.mixed_precision.-policy.pbtxt │ │ │ ├── tensorflow.keras.mixed_precision.pbtxt │ │ │ ├── tensorflow.keras.models.-model.pbtxt │ │ │ ├── tensorflow.keras.models.-sequential.pbtxt │ │ │ ├── tensorflow.keras.models.experimental.-sharpness-aware-minimization.pbtxt │ │ │ ├── tensorflow.keras.models.experimental.pbtxt │ │ │ ├── tensorflow.keras.models.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adafactor.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adam-w.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-adamax.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-ftrl.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-lion.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-nadam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-optimizer.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.optimizers.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adafactor.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adam-w.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-adamax.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-ftrl.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-nadam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-optimizer.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.optimizers.experimental.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adadelta.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adagrad.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-adamax.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-ftrl.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-nadam.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-optimizer.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-r-m-sprop.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.-s-g-d.pbtxt │ │ │ ├── tensorflow.keras.optimizers.legacy.pbtxt │ │ │ ├── tensorflow.keras.optimizers.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-cosine-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-piecewise-constant-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt │ │ │ ├── tensorflow.keras.optimizers.schedules.pbtxt │ │ │ ├── tensorflow.keras.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.image.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.sequence.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.text.-tokenizer.pbtxt │ │ │ ├── tensorflow.keras.preprocessing.text.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l1-l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l1.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-orthogonal-regularizer.pbtxt │ │ │ ├── tensorflow.keras.regularizers.-regularizer.pbtxt │ │ │ ├── tensorflow.keras.regularizers.l1.pbtxt │ │ │ ├── tensorflow.keras.regularizers.l2.pbtxt │ │ │ ├── tensorflow.keras.regularizers.orthogonal_regularizer.pbtxt │ │ │ ├── tensorflow.keras.regularizers.pbtxt │ │ │ ├── tensorflow.keras.saving.custom_object_scope.pbtxt │ │ │ ├── tensorflow.keras.saving.pbtxt │ │ │ ├── tensorflow.keras.utils.-custom-object-scope.pbtxt │ │ │ ├── tensorflow.keras.utils.-feature-space.pbtxt │ │ │ ├── tensorflow.keras.utils.-generator-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-ordered-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-progbar.pbtxt │ │ │ ├── tensorflow.keras.utils.-sequence-enqueuer.pbtxt │ │ │ ├── tensorflow.keras.utils.-sequence.pbtxt │ │ │ ├── tensorflow.keras.utils.-sidecar-evaluator.pbtxt │ │ │ ├── tensorflow.keras.utils.-steps-per-execution-tuner.pbtxt │ │ │ ├── tensorflow.keras.utils.-timed-thread.pbtxt │ │ │ ├── tensorflow.keras.utils.custom_object_scope.pbtxt │ │ │ ├── tensorflow.keras.utils.experimental.-dataset-creator.pbtxt │ │ │ ├── tensorflow.keras.utils.experimental.pbtxt │ │ │ ├── tensorflow.keras.utils.legacy.pbtxt │ │ │ └── tensorflow.keras.utils.pbtxt │ └── tests │ │ ├── API_UPDATE_WARNING.txt │ │ ├── BUILD │ │ ├── README.txt │ │ └── api_compatibility_test.py ├── applications │ ├── BUILD │ ├── __init__.py │ ├── applications_load_weight_test.py │ ├── applications_test.py │ ├── convnext.py │ ├── densenet.py │ ├── efficientnet.py │ ├── efficientnet_v2.py │ ├── imagenet_utils.py │ ├── imagenet_utils_test.py │ ├── inception_resnet_v2.py │ ├── inception_v3.py │ ├── mobilenet.py │ ├── mobilenet_v2.py │ ├── mobilenet_v3.py │ ├── nasnet.py │ ├── regnet.py │ ├── resnet.py │ ├── resnet_rs.py │ ├── resnet_v2.py │ ├── vgg16.py │ ├── vgg19.py │ └── xception.py ├── backend.py ├── backend_config.py ├── backend_config_test.py ├── backend_test.py ├── benchmarks │ ├── BUILD │ ├── README.md │ ├── __init__.py │ ├── benchmark_util.py │ ├── benchmark_util_test.py │ ├── distribution_util.py │ ├── eager_microbenchmarks_test.py │ ├── keras_cpu_benchmark_test.py │ ├── keras_examples_benchmarks │ │ ├── BUILD │ │ ├── README.md │ │ ├── antirectifier_benchmark_test.py │ │ ├── bidirectional_lstm_benchmark_test.py │ │ ├── cifar10_cnn_benchmark_test.py │ │ ├── mnist_conv_benchmark_test.py │ │ ├── mnist_conv_custom_training_benchmark_test.py │ │ ├── mnist_hierarchical_rnn_benchmark_test.py │ │ ├── mnist_irnn_benchmark_test.py │ │ ├── reuters_mlp_benchmark_test.py │ │ └── text_classification_transformer_benchmark_test.py │ ├── layer_benchmarks │ │ ├── BUILD │ │ ├── layer_benchmarks_test.py │ │ ├── layer_benchmarks_test_base.py │ │ └── run_xprof.py │ ├── metrics_memory_benchmark_test.py │ ├── model_components_benchmarks_test.py │ ├── model_memory_profile.py │ ├── optimizer_benchmarks_test.py │ └── saved_model_benchmarks │ │ ├── BUILD │ │ ├── densenet_benchmark_test.py │ │ ├── efficientnet_benchmark_test.py │ │ ├── inception_resnet_v2_benchmark_test.py │ │ ├── mobilenet_benchmark_test.py │ │ ├── nasnet_large_benchmark_test.py │ │ ├── resnet152_v2_benchmark_test.py │ │ ├── saved_model_benchmark_util.py │ │ ├── vgg_benchmark_test.py │ │ └── xception_benchmark_test.py ├── callbacks.py ├── callbacks_test.py ├── callbacks_v1.py ├── callbacks_v1_test.py ├── constraints.py ├── constraints_test.py ├── datasets │ ├── BUILD │ ├── __init__.py │ ├── boston_housing.py │ ├── cifar.py │ ├── cifar10.py │ ├── cifar100.py │ ├── fashion_mnist.py │ ├── imdb.py │ ├── mnist.py │ └── reuters.py ├── distribute │ ├── BUILD │ ├── README.md │ ├── __init__.py │ ├── checkpointing_test.py │ ├── collective_all_reduce_strategy_test.py │ ├── ctl_correctness_test.py │ ├── custom_training_loop_metrics_test.py │ ├── custom_training_loop_models_test.py │ ├── custom_training_loop_optimizer_test.py │ ├── dataset_creator_model_fit_ps_only_test.py │ ├── dataset_creator_model_fit_test.py │ ├── dataset_creator_model_fit_test_base.py │ ├── distribute_coordinator_utils.py │ ├── distribute_strategy_test.py │ ├── distributed_file_utils.py │ ├── distributed_file_utils_test.py │ ├── distributed_training_utils.py │ ├── distributed_training_utils_test.py │ ├── distributed_training_utils_v1.py │ ├── keras_correctness_test_base.py │ ├── keras_dnn_correctness_test.py │ ├── keras_embedding_model_correctness_test.py │ ├── keras_image_model_correctness_test.py │ ├── keras_metrics_test.py │ ├── keras_models_test.py │ ├── keras_optimizer_v2_test.py │ ├── keras_premade_models_test.py │ ├── keras_rnn_model_correctness_test.py │ ├── keras_save_load_test.py │ ├── keras_stateful_lstm_model_correctness_test.py │ ├── keras_utils_test.py │ ├── minimize_loss_test.py │ ├── mirrored_strategy_test.py │ ├── mirrored_variable_test.py │ ├── model_checkpoint_test.py │ ├── model_collection_base.py │ ├── model_combinations.py │ ├── multi_worker_callback_tf2_test.py │ ├── multi_worker_test.py │ ├── multi_worker_testing_utils.py │ ├── optimizer_combinations.py │ ├── parameter_server_evaluation_test.py │ ├── parameter_server_exact_evaluation_test.py │ ├── saved_model_mixed_api_test.py │ ├── saved_model_save_load_test.py │ ├── saved_model_test_base.py │ ├── sharded_variable_test.py │ ├── simple_models.py │ ├── strategy_combinations.py │ ├── test_example.py │ ├── tpu_strategy_test_utils.py │ ├── worker_training_state.py │ └── worker_training_state_test.py ├── dtensor │ ├── BUILD │ ├── __init__.py │ ├── initializers_test.py │ ├── integration_test_utils.py │ ├── layers_test.py │ ├── layout_map.py │ ├── layout_map_test.py │ ├── lazy_variable.py │ ├── metrics_test.py │ ├── mnist_model_test.py │ ├── optimizers_test.py │ ├── save_load_test.py │ ├── strategy_integration_test.py │ ├── test_util.py │ ├── utils.py │ └── utils_test.py ├── engine │ ├── BUILD │ ├── __init__.py │ ├── base_layer.py │ ├── base_layer_test.py │ ├── base_layer_utils.py │ ├── base_layer_utils_test.py │ ├── base_layer_v1.py │ ├── base_preprocessing_layer.py │ ├── base_preprocessing_layer_test.py │ ├── compile_utils.py │ ├── compile_utils_test.py │ ├── control_flow_test.py │ ├── correctness_test.py │ ├── data_adapter.py │ ├── data_adapter_test.py │ ├── deferred_sequential_test.py │ ├── feature_columns_integration_test.py │ ├── functional.py │ ├── functional_test.py │ ├── functional_utils.py │ ├── functional_utils_test.py │ ├── input_layer.py │ ├── input_layer_test.py │ ├── input_spec.py │ ├── input_spec_test.py │ ├── keras_tensor.py │ ├── keras_tensor_test.py │ ├── node.py │ ├── node_test.py │ ├── partial_batch_padding_handler.py │ ├── ragged_keras_tensor_test.py │ ├── saving.py │ ├── sequential.py │ ├── sequential_test.py │ ├── training.py │ ├── training_arrays_test.py │ ├── training_arrays_v1.py │ ├── training_dataset_test.py │ ├── training_distributed_v1.py │ ├── training_eager_test.py │ ├── training_eager_v1.py │ ├── training_generator_test.py │ ├── training_generator_v1.py │ ├── training_gpu_test.py │ ├── training_integration_test.py │ ├── training_test.py │ ├── training_utils.py │ ├── training_utils_v1.py │ ├── training_utils_v1_test.py │ └── training_v1.py ├── estimator │ ├── BUILD │ └── __init__.py ├── export │ ├── BUILD │ ├── __init__.py │ ├── export_lib.py │ └── export_lib_test.py ├── feature_column │ ├── BUILD │ ├── __init__.py │ ├── base_feature_layer.py │ ├── dense_features.py │ ├── dense_features_test.py │ ├── dense_features_v2.py │ ├── dense_features_v2_test.py │ ├── sequence_feature_column.py │ ├── sequence_feature_column_integration_test.py │ └── sequence_feature_column_test.py ├── initializers │ ├── BUILD │ ├── __init__.py │ ├── initializers.py │ ├── initializers_test.py │ └── initializers_v1.py ├── integration_test │ ├── BUILD │ ├── README.md │ ├── central_storage_strategy_test.py │ ├── ctl_tutorial_test.py │ ├── custom_object_saving_test.py │ ├── distributed_training_test.py │ ├── extension_type_test.py │ ├── fit_test.py │ ├── forwardprop_test.py │ ├── function_test.py │ ├── gradient_checkpoint_test.py │ ├── gradients_test.py │ ├── legacy_rnn_test.py │ ├── models │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── bert.py │ │ ├── ctc_speech_rnn.py │ │ ├── dcgan.py │ │ ├── edge_case_model.py │ │ ├── efficientnet_v2.py │ │ ├── input_spec.py │ │ ├── low_level_model.py │ │ ├── mini_unet.py │ │ ├── mini_xception.py │ │ ├── retinanet.py │ │ ├── structured_data_classification.py │ │ ├── text_classification.py │ │ ├── timeseries_forecasting.py │ │ ├── translation.py │ │ └── vae.py │ ├── module_test.py │ ├── multi_worker_tutorial_test.py │ ├── mwms_multi_process_runner_test.py │ ├── parameter_server_custom_training_loop_test.py │ ├── parameter_server_keras_preprocessing_test.py │ ├── parameter_server_training_metric_test.py │ ├── preprocessing_applied_in_dataset_creator_test.py │ ├── preprocessing_applied_in_dataset_test.py │ ├── preprocessing_applied_in_model_test.py │ ├── preprocessing_test_utils.py │ ├── py_metric_test.py │ ├── saved_model_test.py │ ├── saving_v3_test.py │ ├── tpu_strategy_test.py │ └── vectorized_map_test.py ├── kokoro │ └── github │ │ └── ubuntu │ │ ├── cpu │ │ ├── build.sh │ │ ├── continuous.cfg │ │ └── presubmit.cfg │ │ └── gpu │ │ ├── build.sh │ │ ├── continuous.cfg │ │ └── presubmit.cfg ├── layers │ ├── BUILD │ ├── __init__.py │ ├── activation │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── elu.py │ │ ├── elu_test.py │ │ ├── leaky_relu.py │ │ ├── leaky_relu_test.py │ │ ├── prelu.py │ │ ├── prelu_test.py │ │ ├── relu.py │ │ ├── relu_test.py │ │ ├── softmax.py │ │ ├── softmax_test.py │ │ ├── thresholded_relu.py │ │ └── thresholded_relu_test.py │ ├── attention │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── additive_attention.py │ │ ├── additive_attention_test.py │ │ ├── attention.py │ │ ├── attention_test.py │ │ ├── base_dense_attention.py │ │ ├── base_dense_attention_test.py │ │ ├── multi_head_attention.py │ │ └── multi_head_attention_test.py │ ├── convolutional │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── base_conv.py │ │ ├── base_depthwise_conv.py │ │ ├── base_separable_conv.py │ │ ├── conv1d.py │ │ ├── conv1d_transpose.py │ │ ├── conv2d.py │ │ ├── conv2d_transpose.py │ │ ├── conv3d.py │ │ ├── conv3d_transpose.py │ │ ├── conv_test.py │ │ ├── conv_transpose_test.py │ │ ├── depthwise_conv1d.py │ │ ├── depthwise_conv2d.py │ │ ├── depthwise_conv_test.py │ │ ├── separable_conv1d.py │ │ ├── separable_conv2d.py │ │ └── separable_conv_test.py │ ├── core │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── activation.py │ │ ├── core_test.py │ │ ├── dense.py │ │ ├── einsum_dense.py │ │ ├── einsum_dense_test.py │ │ ├── embedding.py │ │ ├── embedding_test.py │ │ ├── identity.py │ │ ├── lambda_layer.py │ │ ├── masking.py │ │ └── tf_op_layer.py │ ├── experimental │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── dynamic_embedding.py │ │ ├── dynamic_embedding_distributed_test.py │ │ ├── dynamic_embedding_test.py │ │ ├── dynamic_lookup.py │ │ ├── dynamic_lookup_distributed_test.py │ │ └── dynamic_lookup_test.py │ ├── kernelized.py │ ├── kernelized_test.py │ ├── layers_test.py │ ├── locally_connected │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── locally_connected1d.py │ │ ├── locally_connected2d.py │ │ ├── locally_connected_test.py │ │ └── locally_connected_utils.py │ ├── merging │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── add.py │ │ ├── average.py │ │ ├── base_merge.py │ │ ├── concatenate.py │ │ ├── dot.py │ │ ├── maximum.py │ │ ├── merging_test.py │ │ ├── minimum.py │ │ ├── multiply.py │ │ └── subtract.py │ ├── noise.py │ ├── normalization │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── batch_normalization.py │ │ ├── batch_normalization_dtensor_test.py │ │ ├── batch_normalization_test.py │ │ ├── batch_normalization_v1.py │ │ ├── group_normalization.py │ │ ├── group_normalization_test.py │ │ ├── layer_normalization.py │ │ ├── layer_normalization_test.py │ │ ├── spectral_normalization.py │ │ ├── spectral_normalization_test.py │ │ ├── unit_normalization.py │ │ └── unit_normalization_test.py │ ├── pooling │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── average_pooling1d.py │ │ ├── average_pooling2d.py │ │ ├── average_pooling3d.py │ │ ├── average_pooling_test.py │ │ ├── base_global_pooling1d.py │ │ ├── base_global_pooling2d.py │ │ ├── base_global_pooling3d.py │ │ ├── base_pooling1d.py │ │ ├── base_pooling2d.py │ │ ├── base_pooling3d.py │ │ ├── global_average_pooling1d.py │ │ ├── global_average_pooling2d.py │ │ ├── global_average_pooling3d.py │ │ ├── global_average_pooling_test.py │ │ ├── global_max_pooling1d.py │ │ ├── global_max_pooling2d.py │ │ ├── global_max_pooling3d.py │ │ ├── global_max_pooling_test.py │ │ ├── max_pooling1d.py │ │ ├── max_pooling2d.py │ │ ├── max_pooling3d.py │ │ └── max_pooling_test.py │ ├── preprocessing │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── benchmarks │ │ │ ├── BUILD │ │ │ ├── __init__.py │ │ │ ├── bucketized_column_dense_benchmark.py │ │ │ ├── category_encoding_benchmark.py │ │ │ ├── category_hash_dense_benchmark.py │ │ │ ├── category_hash_varlen_benchmark.py │ │ │ ├── category_vocab_file_dense_benchmark.py │ │ │ ├── category_vocab_file_varlen_benchmark.py │ │ │ ├── category_vocab_list_dense_benchmark.py │ │ │ ├── category_vocab_list_indicator_dense_benchmark.py │ │ │ ├── category_vocab_list_indicator_varlen_benchmark.py │ │ │ ├── category_vocab_list_varlen_benchmark.py │ │ │ ├── discretization_adapt_benchmark.py │ │ │ ├── embedding_dense_benchmark.py │ │ │ ├── embedding_varlen_benchmark.py │ │ │ ├── feature_column_benchmark.py │ │ │ ├── hashed_crossing_benchmark.py │ │ │ ├── hashing_benchmark.py │ │ │ ├── image_preproc_benchmark.py │ │ │ ├── index_lookup_adapt_benchmark.py │ │ │ ├── index_lookup_forward_benchmark.py │ │ │ ├── normalization_adapt_benchmark.py │ │ │ └── weighted_embedding_varlen_benchmark.py │ │ ├── category_encoding.py │ │ ├── category_encoding_distribution_test.py │ │ ├── category_encoding_test.py │ │ ├── discretization.py │ │ ├── discretization_distribution_test.py │ │ ├── discretization_test.py │ │ ├── hashed_crossing.py │ │ ├── hashed_crossing_test.py │ │ ├── hashing.py │ │ ├── hashing_distribution_test.py │ │ ├── hashing_test.py │ │ ├── image_preprocessing.py │ │ ├── image_preprocessing_distribution_test.py │ │ ├── image_preprocessing_test.py │ │ ├── index_lookup.py │ │ ├── index_lookup_distribution_test.py │ │ ├── index_lookup_test.py │ │ ├── integer_lookup.py │ │ ├── integer_lookup_test.py │ │ ├── normalization.py │ │ ├── normalization_distribution_test.py │ │ ├── normalization_test.py │ │ ├── preprocessing_stage.py │ │ ├── preprocessing_stage_functional_test.py │ │ ├── preprocessing_stage_test.py │ │ ├── preprocessing_test_utils.py │ │ ├── preprocessing_utils.py │ │ ├── preprocessing_utils_test.py │ │ ├── string_lookup.py │ │ ├── string_lookup_test.py │ │ ├── text_vectorization.py │ │ ├── text_vectorization_distribution_test.py │ │ └── text_vectorization_test.py │ ├── regularization │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── activity_regularization.py │ │ ├── activity_regularization_test.py │ │ ├── alpha_dropout.py │ │ ├── alpha_dropout_test.py │ │ ├── dropout.py │ │ ├── dropout_test.py │ │ ├── gaussian_dropout.py │ │ ├── gaussian_dropout_test.py │ │ ├── gaussian_noise.py │ │ ├── gaussian_noise_test.py │ │ ├── spatial_dropout1d.py │ │ ├── spatial_dropout2d.py │ │ ├── spatial_dropout3d.py │ │ └── spatial_dropout_test.py │ ├── reshaping │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── cropping1d.py │ │ ├── cropping2d.py │ │ ├── cropping3d.py │ │ ├── cropping_test.py │ │ ├── flatten.py │ │ ├── flatten_test.py │ │ ├── permute.py │ │ ├── permute_test.py │ │ ├── repeat_vector.py │ │ ├── repeat_vector_test.py │ │ ├── reshape.py │ │ ├── reshape_test.py │ │ ├── up_sampling1d.py │ │ ├── up_sampling2d.py │ │ ├── up_sampling3d.py │ │ ├── up_sampling_test.py │ │ ├── zero_padding1d.py │ │ ├── zero_padding2d.py │ │ ├── zero_padding3d.py │ │ └── zero_padding_test.py │ ├── rnn │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── abstract_rnn_cell.py │ │ ├── base_conv_lstm.py │ │ ├── base_conv_rnn.py │ │ ├── base_cudnn_rnn.py │ │ ├── base_rnn.py │ │ ├── base_rnn_test.py │ │ ├── base_wrapper.py │ │ ├── base_wrapper_test.py │ │ ├── bidirectional.py │ │ ├── bidirectional_test.py │ │ ├── cell_wrappers.py │ │ ├── cell_wrappers_test.py │ │ ├── conv_lstm1d.py │ │ ├── conv_lstm2d.py │ │ ├── conv_lstm3d.py │ │ ├── conv_lstm_test.py │ │ ├── cudnn_gru.py │ │ ├── cudnn_lstm.py │ │ ├── cudnn_test.py │ │ ├── dropout_rnn_cell_mixin.py │ │ ├── gru.py │ │ ├── gru_lstm_test.py │ │ ├── gru_lstm_utils.py │ │ ├── gru_test.py │ │ ├── gru_v1.py │ │ ├── gru_v1_test.py │ │ ├── legacy_cell_wrappers.py │ │ ├── legacy_cell_wrappers_test.py │ │ ├── legacy_cells.py │ │ ├── lstm.py │ │ ├── lstm_test.py │ │ ├── lstm_v1.py │ │ ├── lstm_v1_test.py │ │ ├── rnn_utils.py │ │ ├── simple_rnn.py │ │ ├── simple_rnn_test.py │ │ ├── stacked_rnn_cells.py │ │ ├── time_distributed.py │ │ └── time_distributed_test.py │ ├── serialization.py │ ├── serialization_test.py │ ├── subclassed_layers_test.py │ └── tensorflow_op_layer_test.py ├── legacy_tf_layers │ ├── BUILD │ ├── __init__.py │ ├── base.py │ ├── base_test.py │ ├── convolutional.py │ ├── convolutional_test.py │ ├── core.py │ ├── core_test.py │ ├── migration_utils.py │ ├── migration_utils_test.py │ ├── normalization.py │ ├── normalization_test.py │ ├── pooling.py │ ├── pooling_test.py │ ├── variable_scope_shim.py │ └── variable_scope_shim_test.py ├── losses.py ├── losses_test.py ├── metrics │ ├── BUILD │ ├── __init__.py │ ├── accuracy_metrics.py │ ├── accuracy_metrics_test.py │ ├── base_metric.py │ ├── base_metric_test.py │ ├── confusion_metrics.py │ ├── confusion_metrics_test.py │ ├── f_score_metrics.py │ ├── f_score_metrics_test.py │ ├── hinge_metrics.py │ ├── hinge_metrics_test.py │ ├── iou_metrics.py │ ├── iou_metrics_test.py │ ├── metrics_correctness_test.py │ ├── metrics_functional_test.py │ ├── probabilistic_metrics.py │ ├── probabilistic_metrics_test.py │ ├── py_metric.py │ ├── py_metric_test.py │ ├── regression_metrics.py │ └── regression_metrics_test.py ├── mixed_precision │ ├── BUILD │ ├── __init__.py │ ├── autocast_variable.py │ ├── autocast_variable_test.py │ ├── device_compatibility_check.py │ ├── device_compatibility_check_test.py │ ├── layer_correctness_test.py │ ├── layer_test.py │ ├── loss_scale_optimizer.py │ ├── loss_scale_optimizer_test.py │ ├── mixed_precision_graph_rewrite_test.py │ ├── model_test.py │ ├── policy.py │ ├── policy_test.py │ ├── test_util.py │ └── testdata │ │ ├── BUILD │ │ ├── lso_ckpt_tf2.2 │ │ ├── checkpoint │ │ ├── ckpt.data-00000-of-00002 │ │ ├── ckpt.data-00001-of-00002 │ │ └── ckpt.index │ │ └── lso_savedmodel_tf2.2 │ │ ├── saved_model.pb │ │ └── variables │ │ ├── variables.data-00000-of-00002 │ │ ├── variables.data-00001-of-00002 │ │ └── variables.index ├── models │ ├── BUILD │ ├── __init__.py │ ├── cloning.py │ ├── cloning_test.py │ ├── sharpness_aware_minimization.py │ └── sharpness_aware_minimization_test.py ├── opensource_only.files ├── optimizers │ ├── BUILD │ ├── __init__.py │ ├── adadelta.py │ ├── adafactor.py │ ├── adagrad.py │ ├── adam.py │ ├── adamax.py │ ├── adamw.py │ ├── ftrl.py │ ├── legacy │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── adadelta.py │ │ ├── adadelta_test.py │ │ ├── adagrad.py │ │ ├── adagrad_test.py │ │ ├── adam.py │ │ ├── adam_test.py │ │ ├── adamax.py │ │ ├── adamax_test.py │ │ ├── ftrl.py │ │ ├── ftrl_test.py │ │ ├── gradient_descent.py │ │ ├── gradient_descent_test.py │ │ ├── nadam.py │ │ ├── nadam_test.py │ │ ├── optimizer_v2.py │ │ ├── optimizer_v2_test.py │ │ ├── rmsprop.py │ │ └── rmsprop_test.py │ ├── legacy_learning_rate_decay.py │ ├── legacy_learning_rate_decay_test.py │ ├── lion.py │ ├── lion_test.py │ ├── nadam.py │ ├── optimizer.py │ ├── optimizer_pss_test.py │ ├── optimizer_test.py │ ├── optimizer_v1.py │ ├── optimizer_v1_test.py │ ├── rmsprop.py │ ├── schedules │ │ ├── BUILD │ │ ├── __init__.py │ │ ├── learning_rate_schedule.py │ │ └── learning_rate_schedule_test.py │ ├── sgd.py │ └── utils.py ├── premade_models │ ├── BUILD │ ├── __init__.py │ ├── linear.py │ ├── linear_test.py │ ├── wide_deep.py │ └── wide_deep_test.py ├── preprocessing │ ├── BUILD │ ├── __init__.py │ ├── image.py │ ├── image_test.py │ ├── sequence.py │ ├── sequence_test.py │ ├── text.py │ └── text_test.py ├── protobuf │ ├── BUILD │ ├── projector_config.proto │ ├── saved_metadata.proto │ └── versions.proto ├── regularizers.py ├── regularizers_test.py ├── saving │ ├── BUILD │ ├── __init__.py │ ├── legacy │ │ ├── __init__.py │ │ ├── hdf5_format.py │ │ ├── losses_serialization_test.py │ │ ├── metrics_serialization_test.py │ │ ├── model_config.py │ │ ├── save.py │ │ ├── save_test.py │ │ ├── save_weights_test.py │ │ ├── saved_model │ │ │ ├── BUILD │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── base_serialization.py │ │ │ ├── constants.py │ │ │ ├── create_test_saved_model.py │ │ │ ├── determinism_test.py │ │ │ ├── json_utils.py │ │ │ ├── json_utils_test.py │ │ │ ├── layer_serialization.py │ │ │ ├── load.py │ │ │ ├── metric_serialization.py │ │ │ ├── model_serialization.py │ │ │ ├── network_serialization.py │ │ │ ├── order_preserving_set.py │ │ │ ├── revive_test.py │ │ │ ├── save.py │ │ │ ├── save_impl.py │ │ │ ├── saved_model_test.py │ │ │ ├── serialized_attributes.py │ │ │ └── utils.py │ │ ├── saving_utils.py │ │ ├── saving_utils_test.py │ │ └── serialization.py │ ├── object_registration.py │ ├── object_registration_test.py │ ├── pickle_utils.py │ ├── pickle_utils_test.py │ ├── saving_api.py │ ├── saving_lib.py │ ├── saving_lib_test.py │ ├── serialization_lib.py │ └── serialization_lib_test.py ├── testing_infra │ ├── BUILD │ ├── __init__.py │ ├── keras_doctest_lib.py │ ├── keras_doctest_lib_test.py │ ├── test_combinations.py │ ├── test_combinations_test.py │ └── test_utils.py ├── tests │ ├── BUILD │ ├── __init__.py │ ├── add_loss_correctness_test.py │ ├── automatic_outside_compilation_test.py │ ├── convert_to_constants_test.py │ ├── custom_training_loop_test.py │ ├── get_config_samples.py │ ├── get_config_test.py │ ├── graph_util_test.py │ ├── integration_test.py │ ├── keras_doctest.py │ ├── memory_checker_test.py │ ├── memory_test.py │ ├── model_architectures.py │ ├── model_architectures_test.py │ ├── model_subclassing_compiled_test.py │ ├── model_subclassing_test.py │ ├── model_subclassing_test_util.py │ ├── saved_model_test.py │ ├── saver_test.py │ ├── serialization_util_test.py │ ├── temporal_sample_weights_correctness_test.py │ ├── tracking_test.py │ ├── tracking_util_test.py │ ├── tracking_util_with_v1_optimizers_test.py │ └── tracking_util_xla_test.py ├── tf_keras.bzl ├── tools │ ├── bazel_build.sh │ ├── gpu_build │ │ ├── BUILD │ │ └── parallel_gpu_execute.sh │ └── pip_package │ │ ├── BUILD │ │ ├── build_pip_package.sh │ │ ├── create_pip_helper.py │ │ └── setup.py └── utils │ ├── BUILD │ ├── __init__.py │ ├── audio_dataset.py │ ├── audio_dataset_test.py │ ├── audio_dataset_with_tfio_test.py │ ├── composite_tensor_support_test.py │ ├── control_flow_util.py │ ├── conv_utils.py │ ├── conv_utils_test.py │ ├── data_utils.py │ ├── data_utils_test.py │ ├── dataset_creator.py │ ├── dataset_creator_test.py │ ├── dataset_utils.py │ ├── dataset_utils_test.py │ ├── feature_space.py │ ├── feature_space_test.py │ ├── generic_utils.py │ ├── generic_utils_test.py │ ├── image_dataset.py │ ├── image_dataset_test.py │ ├── image_utils.py │ ├── image_utils_test.py │ ├── io_utils.py │ ├── io_utils_test.py │ ├── keras_logging.py │ ├── kernelized_utils.py │ ├── kernelized_utils_test.py │ ├── kpl_test_utils.py │ ├── layer_utils.py │ ├── layer_utils_test.py │ ├── legacy │ └── __init__.py │ ├── losses_utils.py │ ├── losses_utils_test.py │ ├── metrics_utils.py │ ├── metrics_utils_test.py │ ├── mode_keys.py │ ├── np_utils.py │ ├── np_utils_test.py │ ├── object_identity.py │ ├── sidecar_evaluator.py │ ├── sidecar_evaluator_test.py │ ├── steps_per_execution_tuning.py │ ├── steps_per_execution_tuning_test.py │ ├── text_dataset.py │ ├── text_dataset_test.py │ ├── tf_contextlib.py │ ├── tf_inspect.py │ ├── tf_utils.py │ ├── tf_utils_test.py │ ├── timed_threads.py │ ├── timed_threads_test.py │ ├── timeseries_dataset.py │ ├── timeseries_dataset_test.py │ ├── traceback_utils.py │ ├── traceback_utils_test.py │ ├── version_utils.py │ ├── version_utils_test.py │ ├── vis_utils.py │ └── vis_utils_test.py └── third_party ├── BUILD └── six.BUILD /.bazelversion: -------------------------------------------------------------------------------- 1 | 5.4.0 -------------------------------------------------------------------------------- /.devcontainer/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM mcr.microsoft.com/vscode/devcontainers/python:3.9 2 | COPY setup.sh /setup.sh 3 | 4 | # Install Bazel 5 | RUN sudo apt install wget -y 6 | RUN wget https://github.com/bazelbuild/bazelisk/releases/download/v1.11.0/bazelisk-linux-amd64 7 | RUN chmod a+x bazelisk-linux-amd64 8 | RUN mv bazelisk-linux-amd64 /usr/bin/bazel -------------------------------------------------------------------------------- /.devcontainer/devcontainer.json: -------------------------------------------------------------------------------- 1 | { 2 | "dockerFile": "Dockerfile", 3 | "postCreateCommand": "sh /setup.sh", 4 | "extensions": ["ms-python.python"], 5 | "settings": { 6 | "files.watcherExclude": { 7 | "**/bazel-*/**": true 8 | }, 9 | "search.exclude": { 10 | "**/bazel-*/**": true 11 | } 12 | } 13 | } -------------------------------------------------------------------------------- /.devcontainer/setup.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | sudo pip install -r requirements.txt 3 | sudo pip uninstall keras-nightly -y 4 | 5 | wget https://github.com/cli/cli/releases/download/v2.17.0/gh_2.17.0_linux_amd64.deb -P /tmp 6 | sudo apt install /tmp/gh_2.17.0_linux_amd64.deb -y -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/config.yml: -------------------------------------------------------------------------------- 1 | blank_issues_enabled: false 2 | -------------------------------------------------------------------------------- /.github/bot_config.yml: -------------------------------------------------------------------------------- 1 | # Copyright 2022 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================ 15 | 16 | # A list of assignees 17 | assignees: 18 | - tilakrayal 19 | -------------------------------------------------------------------------------- /.github/workflows/auto-assignment.yaml: -------------------------------------------------------------------------------- 1 | name: auto-assignment 2 | on: 3 | issues: 4 | types: 5 | - opened 6 | pull_request_target: 7 | types: [opened] 8 | 9 | 10 | permissions: 11 | contents: read 12 | issues: write 13 | pull-requests: write 14 | 15 | jobs: 16 | welcome: 17 | runs-on: ubuntu-latest 18 | steps: 19 | - uses: actions/checkout@v4 20 | - uses: actions/github-script@v6 21 | with: 22 | script: | 23 | const script = require('./\.github/workflows/scripts/auto-assignment.js') 24 | script({github, context}) -------------------------------------------------------------------------------- /.github/workflows/pull_workflow.yaml: -------------------------------------------------------------------------------- 1 | name: pull_workflow 2 | on: 3 | pull_request_target: 4 | types: [synchronize,opened,closed] 5 | 6 | permissions: 7 | contents: read 8 | issues: write 9 | pull-requests: write 10 | 11 | jobs: 12 | welcome: 13 | runs-on: ubuntu-latest 14 | steps: 15 | - uses: actions/checkout@v4 16 | - uses: actions/github-script@v7 17 | with: 18 | script: | 19 | const script = require('./\.github/workflows/scripts/pull_workflow.js') 20 | script({github, context}) -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # macOS 2 | .DS_Store 3 | 4 | # Python temp files 5 | __pycache__/ 6 | *.py[cod] 7 | *$py.class 8 | 9 | # Vim temp files 10 | *.swp 11 | *.swo 12 | 13 | # VS Code configs 14 | .devcontainer 15 | .vscode 16 | 17 | # Bazel files 18 | bazel-bin 19 | bazel-keras 20 | bazel-out 21 | bazel-testlogs 22 | -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.linting.flake8Enabled": true, 3 | "python.linting.pylintEnabled": false, 4 | "python.linting.enabled": true, 5 | "editor.rulers": [ 6 | 80 7 | ], 8 | "editor.formatOnSave": true, 9 | "python.formatting.provider": "black", 10 | "python.formatting.blackArgs": [ 11 | "--line-length", 12 | "80" 13 | ], 14 | "python.sortImports.args": [ 15 | "--profile", 16 | "black", 17 | "--sl" 18 | ], 19 | "[python]": { 20 | "editor.codeActionsOnSave": { 21 | "source.organizeImports": true 22 | } 23 | }, 24 | "python.analysis.diagnosticSeverityOverrides": { 25 | "reportMissingImports": "none" 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /SECURITY.md: -------------------------------------------------------------------------------- 1 | ## Security vulnerability reports 2 | 3 | Since Keras 2 is the high-level API of TensorFlow 2, Keras 2 follows the same security practices as TensorFlow. 4 | For details on guidelines on vulnerabilities and how to report them, you can refer to [Using TensorFlow Securely](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md). -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [isort] 2 | force_single_line=True 3 | known_first_party=keras 4 | line_length=80 5 | profile=black 6 | 7 | [flake8] 8 | # imported but unused in __init__.py, that's ok. 9 | per-file-ignores=*__init__.py:F401 10 | ignore=E203,W503,W605,F632,E266,E731,E712,E741 11 | max-line-length=80 12 | -------------------------------------------------------------------------------- /shell/format.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | isort --sl tf_keras 3 | black --line-length 80 tf_keras 4 | flake8 tf_keras 5 | -------------------------------------------------------------------------------- /shell/lint.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | isort --check --sl -c tf_keras 3 | if ! [ $? -eq 0 ] 4 | then 5 | echo "Please run \"sh shell/format.sh\" to format the code." 6 | exit 1 7 | fi 8 | echo "no issues with isort" 9 | flake8 tf_keras 10 | if ! [ $? -eq 0 ] 11 | then 12 | echo "Please fix the code style issue." 13 | exit 1 14 | fi 15 | echo "no issues with flake8" 16 | black --check --line-length 80 tf_keras 17 | if ! [ $? -eq 0 ] 18 | then 19 | echo "Please run \"sh shell/format.sh\" to format the code." 20 | exit 1 21 | fi 22 | echo "no issues with black" 23 | echo "linting success!" 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/BUILD: -------------------------------------------------------------------------------- 1 | # TensorFlow API backwards compatibility test goldens. 2 | 3 | package( 4 | # copybara:uncomment default_applicable_licenses = ["//tf_keras:license"], 5 | default_visibility = ["//visibility:public"], 6 | licenses = ["notice"], # Apache 2.0 7 | ) 8 | 9 | filegroup( 10 | name = "api_golden_v1", 11 | srcs = glob(["v1/*.pbtxt"]), 12 | ) 13 | 14 | filegroup( 15 | name = "api_golden_v2", 16 | srcs = glob(["v2/*.pbtxt"]), 17 | ) 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.layers.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.layers" 2 | tf_module { 3 | member { 4 | name: "BaseRandomLayer" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.legacy.layers.-input-spec.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.legacy.layers.InputSpec" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\', \'allow_last_axis_squeeze\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.legacy.layers.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.legacy.layers.experimental" 2 | tf_module { 3 | member_method { 4 | name: "keras_style_scope" 5 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 6 | } 7 | member_method { 8 | name: "set_keras_style" 9 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.legacy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.legacy" 2 | tf_module { 3 | member { 4 | name: "layers" 5 | mtype: "" 6 | } 7 | member { 8 | name: "rnn_cell" 9 | mtype: "" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.legacy.rnn_cell.-l-s-t-m-state-tuple.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.legacy.rnn_cell.LSTMStateTuple" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member { 7 | name: "c" 8 | mtype: "" 9 | } 10 | member { 11 | name: "dtype" 12 | mtype: "" 13 | } 14 | member { 15 | name: "h" 16 | mtype: "" 17 | } 18 | member_method { 19 | name: "__init__" 20 | } 21 | member_method { 22 | name: "count" 23 | } 24 | member_method { 25 | name: "index" 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.__internal__.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__" 2 | tf_module { 3 | member { 4 | name: "layers" 5 | mtype: "" 6 | } 7 | member { 8 | name: "legacy" 9 | mtype: "" 10 | } 11 | member_method { 12 | name: "enable_unsafe_deserialization" 13 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.imagenet_utils.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.imagenet_utils" 2 | tf_module { 3 | member_method { 4 | name: "decode_predictions" 5 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 6 | } 7 | member_method { 8 | name: "preprocess_input" 9 | argspec: "args=[\'x\', \'data_format\', \'mode\'], varargs=None, keywords=None, defaults=[\'None\', \'caffe\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.inception_resnet_v2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.inception_resnet_v2" 2 | tf_module { 3 | member_method { 4 | name: "InceptionResNetV2" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.inception_v3.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.inception_v3" 2 | tf_module { 3 | member_method { 4 | name: "InceptionV3" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.mobilenet.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet" 2 | tf_module { 3 | member_method { 4 | name: "MobileNet" 5 | argspec: "args=[\'input_shape\', \'alpha\', \'depth_multiplier\', \'dropout\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'1\', \'0.001\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.mobilenet_v2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet_v2" 2 | tf_module { 3 | member_method { 4 | name: "MobileNetV2" 5 | argspec: "args=[\'input_shape\', \'alpha\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.mobilenet_v3.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet_v3" 2 | tf_module { 3 | member_method { 4 | name: "decode_predictions" 5 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 6 | } 7 | member_method { 8 | name: "preprocess_input" 9 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.resnet50.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.resnet50" 2 | tf_module { 3 | member_method { 4 | name: "ResNet50" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.vgg16.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.vgg16" 2 | tf_module { 3 | member_method { 4 | name: "VGG16" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.vgg19.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.vgg19" 2 | tf_module { 3 | member_method { 4 | name: "VGG19" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.applications.xception.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.xception" 2 | tf_module { 3 | member_method { 4 | name: "Xception" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.backend.name_scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.backend.name_scope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "name" 7 | mtype: "" 8 | } 9 | member_method { 10 | name: "__init__" 11 | argspec: "args=[\'self\', \'name\', \'default_name\', \'values\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 12 | } 13 | } 14 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.callbacks.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.callbacks.experimental" 2 | tf_module { 3 | member { 4 | name: "UpdateEmbeddingCallback" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.Constraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-max-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.MaxNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-min-max-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.MinMaxNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-non-neg.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.NonNeg" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-radial-constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.RadialConstraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.-unit-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.UnitNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.max_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.max_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.min_max_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.min_max_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.non_neg.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.non_neg" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.radial_constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.radial_constraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.constraints.unit_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.unit_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.boston_housing.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.boston_housing" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'path\', \'test_split\', \'seed\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'boston_housing.npz\', \'0.2\', \'113\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.cifar10.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.cifar10" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'cache_dir\'], varargs=None, keywords=None, defaults=[\'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.cifar100.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.cifar100" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'label_mode\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'fine\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.fashion_mnist.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.fashion_mnist" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'cache_dir\'], varargs=None, keywords=None, defaults=[\'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.imdb.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.imdb" 2 | tf_module { 3 | member_method { 4 | name: "get_word_index" 5 | argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'imdb_word_index.json\'], " 6 | } 7 | member_method { 8 | name: "load_data" 9 | argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'seed\', \'start_char\', \'oov_char\', \'index_from\', \'cache_dir\'], varargs=None, keywords=kwargs, defaults=[\'imdb.npz\', \'None\', \'0\', \'None\', \'113\', \'1\', \'2\', \'3\', \'None\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.mnist.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.mnist" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'path\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'mnist.npz\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets" 2 | tf_module { 3 | member { 4 | name: "boston_housing" 5 | mtype: "" 6 | } 7 | member { 8 | name: "cifar10" 9 | mtype: "" 10 | } 11 | member { 12 | name: "cifar100" 13 | mtype: "" 14 | } 15 | member { 16 | name: "fashion_mnist" 17 | mtype: "" 18 | } 19 | member { 20 | name: "imdb" 21 | mtype: "" 22 | } 23 | member { 24 | name: "mnist" 25 | mtype: "" 26 | } 27 | member { 28 | name: "reuters" 29 | mtype: "" 30 | } 31 | } 32 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.datasets.reuters.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.reuters" 2 | tf_module { 3 | member_method { 4 | name: "get_label_names" 5 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 6 | } 7 | member_method { 8 | name: "get_word_index" 9 | argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'reuters_word_index.json\'], " 10 | } 11 | member_method { 12 | name: "load_data" 13 | argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'test_split\', \'seed\', \'start_char\', \'oov_char\', \'index_from\', \'cache_dir\'], varargs=None, keywords=kwargs, defaults=[\'reuters.npz\', \'None\', \'0\', \'None\', \'0.2\', \'113\', \'1\', \'2\', \'3\', \'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.estimator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.estimator" 2 | tf_module { 3 | member_method { 4 | name: "model_to_estimator" 5 | argspec: "args=[\'keras_model\', \'keras_model_path\', \'custom_objects\', \'model_dir\', \'config\', \'checkpoint_format\', \'metric_names_map\', \'export_outputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'saver\', \'None\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental.CosineDecayRestarts" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.experimental.-cosine-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental.CosineDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'alpha\', \'name\', \'warmup_target\', \'warmup_steps\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'None\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental" 2 | tf_module { 3 | member { 4 | name: "CosineDecay" 5 | mtype: "" 6 | } 7 | member { 8 | name: "CosineDecayRestarts" 9 | mtype: "" 10 | } 11 | member { 12 | name: "LinearModel" 13 | mtype: "" 14 | } 15 | member { 16 | name: "SequenceFeatures" 17 | mtype: "" 18 | } 19 | member { 20 | name: "WideDeepModel" 21 | mtype: "" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.export.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.export" 2 | tf_module { 3 | member { 4 | name: "ExportArchive" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-constant.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Constant" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"\", \'False\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-identity.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Identity" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-initializer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Initializer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-ones.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Ones" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-orthogonal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Orthogonal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-random-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.RandomNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-random-uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.RandomUniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'-0.05\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-truncated-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.TruncatedNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-variance-scaling.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.VarianceScaling" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.-zeros.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Zeros" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.constant.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.constant" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"\", \'False\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.glorot_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.glorot_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.glorot_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.glorot_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.he_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.he_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.he_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.he_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.identity.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.identity" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.lecun_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.lecun_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.lecun_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.lecun_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.ones.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.ones" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.orthogonal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.orthogonal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.random_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.random_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.random_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.random_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'-0.05\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.truncated_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.truncated_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'-0.05\', \'0.05\', \'None\', \"\"], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.initializers.zeros.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.zeros" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"\"], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.layers.-input-spec.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.layers.InputSpec" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\', \'allow_last_axis_squeeze\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.layers.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.layers.experimental" 2 | tf_module { 3 | member { 4 | name: "EinsumDense" 5 | mtype: "" 6 | } 7 | member { 8 | name: "RandomFourierFeatures" 9 | mtype: "" 10 | } 11 | member { 12 | name: "preprocessing" 13 | mtype: "" 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.layers.experimental.preprocessing.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.layers.experimental.preprocessing" 2 | tf_module { 3 | member { 4 | name: "CategoryEncoding" 5 | mtype: "" 6 | } 7 | member { 8 | name: "CenterCrop" 9 | mtype: "" 10 | } 11 | member { 12 | name: "Discretization" 13 | mtype: "" 14 | } 15 | member { 16 | name: "Hashing" 17 | mtype: "" 18 | } 19 | member { 20 | name: "Normalization" 21 | mtype: "" 22 | } 23 | member { 24 | name: "PreprocessingLayer" 25 | mtype: "" 26 | } 27 | member { 28 | name: "Rescaling" 29 | mtype: "" 30 | } 31 | member { 32 | name: "Resizing" 33 | mtype: "" 34 | } 35 | } 36 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-categorical-hinge.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.CategoricalHinge" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'categorical_hinge\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-hinge.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Hinge" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'hinge\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-huber.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Huber" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'delta\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'1.0\', \'auto\', \'huber_loss\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-k-l-divergence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.KLDivergence" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'kl_divergence\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-log-cosh.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.LogCosh" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'log_cosh\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-loss.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Loss" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'None\'], " 8 | } 9 | member_method { 10 | name: "call" 11 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "from_config" 15 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | member_method { 18 | name: "get_config" 19 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-mean-absolute-error.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.MeanAbsoluteError" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'mean_absolute_error\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-mean-squared-error.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.MeanSquaredError" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'mean_squared_error\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-poisson.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Poisson" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'poisson\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.losses.-squared-hinge.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.SquaredHinge" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'squared_hinge\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.mixed_precision.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.mixed_precision" 2 | tf_module { 3 | member { 4 | name: "LossScaleOptimizer" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.legacy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.legacy" 2 | tf_module { 3 | member { 4 | name: "Adadelta" 5 | mtype: "" 6 | } 7 | member { 8 | name: "Adagrad" 9 | mtype: "" 10 | } 11 | member { 12 | name: "Adam" 13 | mtype: "" 14 | } 15 | member { 16 | name: "Adamax" 17 | mtype: "" 18 | } 19 | member { 20 | name: "Ftrl" 21 | mtype: "" 22 | } 23 | member { 24 | name: "Nadam" 25 | mtype: "" 26 | } 27 | member { 28 | name: "Optimizer" 29 | mtype: "" 30 | } 31 | member { 32 | name: "RMSprop" 33 | mtype: "" 34 | } 35 | member { 36 | name: "SGD" 37 | mtype: "" 38 | } 39 | } 40 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.CosineDecayRestarts" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-cosine-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.CosineDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'alpha\', \'name\', \'warmup_target\', \'warmup_steps\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'None\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.ExponentialDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.InverseTimeDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.LearningRateSchedule" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-piecewise-constant-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.PiecewiseConstantDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'boundaries\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.PolynomialDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'end_learning_rate\', \'power\', \'cycle\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1.0\', \'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.preprocessing.image.-iterator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.preprocessing.image.Iterator" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member { 7 | name: "white_list_formats" 8 | mtype: "" 9 | } 10 | member_method { 11 | name: "__init__" 12 | argspec: "args=[\'self\', \'n\', \'batch_size\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "next" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | member_method { 19 | name: "on_epoch_end" 20 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 21 | } 22 | member_method { 23 | name: "reset" 24 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 25 | } 26 | } 27 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.preprocessing.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.preprocessing" 2 | tf_module { 3 | member { 4 | name: "image" 5 | mtype: "" 6 | } 7 | member { 8 | name: "sequence" 9 | mtype: "" 10 | } 11 | member { 12 | name: "text" 13 | mtype: "" 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.preprocessing.sequence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.preprocessing.sequence" 2 | tf_module { 3 | member { 4 | name: "TimeseriesGenerator" 5 | mtype: "" 6 | } 7 | member_method { 8 | name: "make_sampling_table" 9 | argspec: "args=[\'size\', \'sampling_factor\'], varargs=None, keywords=None, defaults=[\'1e-05\'], " 10 | } 11 | member_method { 12 | name: "pad_sequences" 13 | argspec: "args=[\'sequences\', \'maxlen\', \'dtype\', \'padding\', \'truncating\', \'value\'], varargs=None, keywords=None, defaults=[\'None\', \'int32\', \'pre\', \'pre\', \'0.0\'], " 14 | } 15 | member_method { 16 | name: "skipgrams" 17 | argspec: "args=[\'sequence\', \'vocabulary_size\', \'window_size\', \'negative_samples\', \'shuffle\', \'categorical\', \'sampling_table\', \'seed\'], varargs=None, keywords=None, defaults=[\'4\', \'1.0\', \'True\', \'False\', \'None\', \'None\'], " 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.-l1-l2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L1L2" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.-l1.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L1" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.-l2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L2" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l2\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.-regularizer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.Regularizer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.l1.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.l1" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.regularizers.l2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.l2" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l2\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.saving.custom_object_scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.saving.custom_object_scope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.-custom-object-scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.CustomObjectScope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.-deterministic-random-test-tool.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.DeterministicRandomTestTool" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "operation_seed" 7 | mtype: "" 8 | } 9 | member_method { 10 | name: "__init__" 11 | argspec: "args=[\'self\', \'seed\', \'mode\'], varargs=None, keywords=None, defaults=[\'42\', \'constant\'], " 12 | } 13 | member_method { 14 | name: "scope" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.-progbar.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.Progbar" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'target\', \'width\', \'verbose\', \'interval\', \'stateful_metrics\', \'unit_name\'], varargs=None, keywords=None, defaults=[\'30\', \'1\', \'0.05\', \'None\', \'step\'], " 8 | } 9 | member_method { 10 | name: "add" 11 | argspec: "args=[\'self\', \'n\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], " 12 | } 13 | member_method { 14 | name: "update" 15 | argspec: "args=[\'self\', \'current\', \'values\', \'finalize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.-sequence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.Sequence" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "on_epoch_end" 10 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | } 13 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.-steps-per-execution-tuner.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.StepsPerExecutionTuner" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "steps_per_execution" 7 | mtype: "" 8 | } 9 | member_method { 10 | name: "__init__" 11 | argspec: "args=[\'self\', \'optimizer\', \'spe_variable\', \'interval\', \'change_spe_interval\', \'change_threshold\'], varargs=None, keywords=None, defaults=[\'5\', \'10\', \'0.1\'], " 12 | } 13 | member_method { 14 | name: "start" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | member_method { 18 | name: "stop" 19 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.custom_object_scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.custom_object_scope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v1/tensorflow.keras.utils.legacy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.legacy" 2 | tf_module { 3 | member_method { 4 | name: "deserialize_keras_object" 5 | argspec: "args=[\'identifier\', \'module_objects\', \'custom_objects\', \'printable_module_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'object\'], " 6 | } 7 | member_method { 8 | name: "serialize_keras_object" 9 | argspec: "args=[\'instance\'], varargs=None, keywords=None, defaults=None" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.backend.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.backend" 2 | tf_module { 3 | member_method { 4 | name: "initialize_variables" 5 | argspec: "args=[\'session\'], varargs=None, keywords=None, defaults=None" 6 | } 7 | member_method { 8 | name: "track_variable" 9 | argspec: "args=[\'v\'], varargs=None, keywords=None, defaults=None" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.layers.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.layers" 2 | tf_module { 3 | member { 4 | name: "BaseDenseAttention" 5 | mtype: "" 6 | } 7 | member { 8 | name: "BaseRandomLayer" 9 | mtype: "" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.losses.-loss-function-wrapper.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.losses.LossFunctionWrapper" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'fn\', \'reduction\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'auto\', \'None\'], " 9 | } 10 | member_method { 11 | name: "call" 12 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "from_config" 16 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | member_method { 19 | name: "get_config" 20 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 21 | } 22 | } 23 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.losses.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.losses" 2 | tf_module { 3 | member { 4 | name: "LossFunctionWrapper" 5 | mtype: "" 6 | } 7 | member_method { 8 | name: "compute_weighted_loss" 9 | argspec: "args=[\'losses\', \'sample_weight\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'sum_over_batch_size\', \'None\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.models.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.models" 2 | tf_module { 3 | member_method { 4 | name: "clone_and_build_model" 5 | argspec: "args=[\'model\', \'input_tensors\', \'target_tensors\', \'custom_objects\', \'compile_clone\', \'in_place_reset\', \'optimizer_iterations\', \'optimizer_config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'False\', \'None\', \'None\'], " 6 | } 7 | member_method { 8 | name: "in_place_subclassed_model_state_restoration" 9 | argspec: "args=[\'model\'], varargs=None, keywords=None, defaults=None" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.optimizers.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.optimizers" 2 | tf_module { 3 | member_method { 4 | name: "convert_to_legacy_optimizer" 5 | argspec: "args=[\'optimizer\'], varargs=None, keywords=None, defaults=None" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.__internal__.utils.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.__internal__.utils" 2 | tf_module { 3 | member_method { 4 | name: "get_data_handler" 5 | argspec: "args=[], varargs=args, keywords=kwargs, defaults=None" 6 | } 7 | member_method { 8 | name: "layer_test" 9 | argspec: "args=[\'layer_cls\', \'kwargs\', \'input_shape\', \'input_dtype\', \'input_data\', \'expected_output\', \'expected_output_dtype\', \'expected_output_shape\', \'validate_training\', \'adapt_data\', \'custom_objects\', \'test_harness\', \'supports_masking\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " 10 | } 11 | member_method { 12 | name: "register_symbolic_tensor_type" 13 | argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.imagenet_utils.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.imagenet_utils" 2 | tf_module { 3 | member_method { 4 | name: "decode_predictions" 5 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 6 | } 7 | member_method { 8 | name: "preprocess_input" 9 | argspec: "args=[\'x\', \'data_format\', \'mode\'], varargs=None, keywords=None, defaults=[\'None\', \'caffe\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.inception_resnet_v2" 2 | tf_module { 3 | member_method { 4 | name: "InceptionResNetV2" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.inception_v3" 2 | tf_module { 3 | member_method { 4 | name: "InceptionV3" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet" 2 | tf_module { 3 | member_method { 4 | name: "MobileNet" 5 | argspec: "args=[\'input_shape\', \'alpha\', \'depth_multiplier\', \'dropout\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'1\', \'0.001\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.mobilenet_v2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet_v2" 2 | tf_module { 3 | member_method { 4 | name: "MobileNetV2" 5 | argspec: "args=[\'input_shape\', \'alpha\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'1.0\', \'True\', \'imagenet\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.mobilenet_v3.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.mobilenet_v3" 2 | tf_module { 3 | member_method { 4 | name: "decode_predictions" 5 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 6 | } 7 | member_method { 8 | name: "preprocess_input" 9 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.resnet50" 2 | tf_module { 3 | member_method { 4 | name: "ResNet50" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.vgg16" 2 | tf_module { 3 | member_method { 4 | name: "VGG16" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.vgg19" 2 | tf_module { 3 | member_method { 4 | name: "VGG19" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.applications.xception.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.applications.xception" 2 | tf_module { 3 | member_method { 4 | name: "Xception" 5 | argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'classes\', \'classifier_activation\'], varargs=None, keywords=None, defaults=[\'True\', \'imagenet\', \'None\', \'None\', \'None\', \'1000\', \'softmax\'], " 6 | } 7 | member_method { 8 | name: "decode_predictions" 9 | argspec: "args=[\'preds\', \'top\'], varargs=None, keywords=None, defaults=[\'5\'], " 10 | } 11 | member_method { 12 | name: "preprocess_input" 13 | argspec: "args=[\'x\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.backend.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.backend.experimental" 2 | tf_module { 3 | member_method { 4 | name: "disable_tf_random_generator" 5 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 6 | } 7 | member_method { 8 | name: "enable_tf_random_generator" 9 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 10 | } 11 | member_method { 12 | name: "is_tf_random_generator_enabled" 13 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.callbacks.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.callbacks.experimental" 2 | tf_module { 3 | member { 4 | name: "BackupAndRestore" 5 | mtype: "" 6 | } 7 | member { 8 | name: "UpdateEmbeddingCallback" 9 | mtype: "" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.Constraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.MaxNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.MinMaxNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.NonNeg" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-radial-constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.RadialConstraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.UnitNorm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.max_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.min_max_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.non_neg" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.radial_constraint.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.radial_constraint" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.constraints.unit_norm" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.boston_housing" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'path\', \'test_split\', \'seed\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'boston_housing.npz\', \'0.2\', \'113\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.cifar10" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'cache_dir\'], varargs=None, keywords=None, defaults=[\'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.cifar100" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'label_mode\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'fine\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.fashion_mnist" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'cache_dir\'], varargs=None, keywords=None, defaults=[\'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.imdb" 2 | tf_module { 3 | member_method { 4 | name: "get_word_index" 5 | argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'imdb_word_index.json\'], " 6 | } 7 | member_method { 8 | name: "load_data" 9 | argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'seed\', \'start_char\', \'oov_char\', \'index_from\', \'cache_dir\'], varargs=None, keywords=kwargs, defaults=[\'imdb.npz\', \'None\', \'0\', \'None\', \'113\', \'1\', \'2\', \'3\', \'None\'], " 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.mnist" 2 | tf_module { 3 | member_method { 4 | name: "load_data" 5 | argspec: "args=[\'path\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'mnist.npz\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets" 2 | tf_module { 3 | member { 4 | name: "boston_housing" 5 | mtype: "" 6 | } 7 | member { 8 | name: "cifar10" 9 | mtype: "" 10 | } 11 | member { 12 | name: "cifar100" 13 | mtype: "" 14 | } 15 | member { 16 | name: "fashion_mnist" 17 | mtype: "" 18 | } 19 | member { 20 | name: "imdb" 21 | mtype: "" 22 | } 23 | member { 24 | name: "mnist" 25 | mtype: "" 26 | } 27 | member { 28 | name: "reuters" 29 | mtype: "" 30 | } 31 | } 32 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.datasets.reuters" 2 | tf_module { 3 | member_method { 4 | name: "get_label_names" 5 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 6 | } 7 | member_method { 8 | name: "get_word_index" 9 | argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'reuters_word_index.json\'], " 10 | } 11 | member_method { 12 | name: "load_data" 13 | argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'test_split\', \'seed\', \'start_char\', \'oov_char\', \'index_from\', \'cache_dir\'], varargs=None, keywords=kwargs, defaults=[\'reuters.npz\', \'None\', \'0\', \'None\', \'0.2\', \'113\', \'1\', \'2\', \'3\', \'None\'], " 14 | } 15 | } 16 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.dtensor.experimental.optimizers.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.dtensor.experimental.optimizers" 2 | tf_module { 3 | member { 4 | name: "Adadelta" 5 | mtype: "" 6 | } 7 | member { 8 | name: "Adagrad" 9 | mtype: "" 10 | } 11 | member { 12 | name: "Adam" 13 | mtype: "" 14 | } 15 | member { 16 | name: "AdamW" 17 | mtype: "" 18 | } 19 | member { 20 | name: "RMSprop" 21 | mtype: "" 22 | } 23 | member { 24 | name: "SGD" 25 | mtype: "" 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.dtensor.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.dtensor.experimental" 2 | tf_module { 3 | member { 4 | name: "LayoutMap" 5 | mtype: "" 6 | } 7 | member { 8 | name: "optimizers" 9 | mtype: "" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.dtensor.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.dtensor" 2 | tf_module { 3 | member { 4 | name: "experimental" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.estimator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.estimator" 2 | tf_module { 3 | member_method { 4 | name: "model_to_estimator" 5 | argspec: "args=[\'keras_model\', \'keras_model_path\', \'custom_objects\', \'model_dir\', \'config\', \'checkpoint_format\', \'metric_names_map\', \'export_outputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'checkpoint\', \'None\', \'None\'], " 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental.CosineDecayRestarts" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.experimental.-cosine-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental.CosineDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'alpha\', \'name\', \'warmup_target\', \'warmup_steps\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'None\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.experimental.-sidecar-evaluator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental.SidecarEvaluator" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" 9 | } 10 | member_method { 11 | name: "start" 12 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | } 15 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.experimental" 2 | tf_module { 3 | member { 4 | name: "CosineDecay" 5 | mtype: "" 6 | } 7 | member { 8 | name: "CosineDecayRestarts" 9 | mtype: "" 10 | } 11 | member { 12 | name: "LinearModel" 13 | mtype: "" 14 | } 15 | member { 16 | name: "SequenceFeatures" 17 | mtype: "" 18 | } 19 | member { 20 | name: "SidecarEvaluator" 21 | mtype: "" 22 | } 23 | member { 24 | name: "WideDeepModel" 25 | mtype: "" 26 | } 27 | } 28 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.export.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.export" 2 | tf_module { 3 | member { 4 | name: "ExportArchive" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Constant" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-glorot-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.GlorotNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-glorot-uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.GlorotUniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-he-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.HeNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-he-uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.HeUniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Identity" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\'], varargs=None, keywords=None, defaults=[\'1.0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Initializer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-lecun-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.LecunNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-lecun-uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.LecunUniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Ones" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Orthogonal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'seed\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.RandomNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.RandomUniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\'], varargs=None, keywords=None, defaults=[\'-0.05\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.TruncatedNormal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.VarianceScaling" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.Zeros" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.constant" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=[\'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.glorot_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.glorot_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.glorot_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.glorot_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.he_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.he_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.he_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.he_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.identity" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\'], varargs=None, keywords=None, defaults=[\'1.0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.lecun_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.lecun_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.lecun_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.lecun_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " 10 | } 11 | member_method { 12 | name: "from_config" 13 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "get_config" 17 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.ones" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.orthogonal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'gain\', \'seed\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.random_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.random_uniform" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\'], varargs=None, keywords=None, defaults=[\'-0.05\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.truncated_normal" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.05\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.variance_scaling.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.variance_scaling" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.initializers.zeros" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.layers.InputSpec" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\', \'allow_last_axis_squeeze\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " 8 | } 9 | member_method { 10 | name: "from_config" 11 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "get_config" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.layers.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.layers.experimental" 2 | tf_module { 3 | member { 4 | name: "EinsumDense" 5 | mtype: "" 6 | } 7 | member { 8 | name: "RandomFourierFeatures" 9 | mtype: "" 10 | } 11 | member { 12 | name: "SyncBatchNormalization" 13 | mtype: "" 14 | } 15 | member { 16 | name: "preprocessing" 17 | mtype: "" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-categorical-hinge.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.CategoricalHinge" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'categorical_hinge\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-hinge.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Hinge" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'hinge\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-huber.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Huber" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'delta\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'1.0\', \'auto\', \'huber_loss\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-k-l-divergence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.KLDivergence" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'kl_divergence\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-log-cosh.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.LogCosh" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'log_cosh\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-loss.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Loss" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'None\'], " 8 | } 9 | member_method { 10 | name: "call" 11 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "from_config" 15 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | member_method { 18 | name: "get_config" 19 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-mean-absolute-error.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.MeanAbsoluteError" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'mean_absolute_error\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-mean-squared-error.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.MeanSquaredError" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'mean_squared_error\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-poisson.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Poisson" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | is_instance: "" 7 | member_method { 8 | name: "__init__" 9 | argspec: "args=[\'self\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'poisson\'], " 10 | } 11 | member_method { 12 | name: "call" 13 | argspec: "args=[\'self\', \'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "from_config" 17 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | member_method { 20 | name: "get_config" 21 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 22 | } 23 | } 24 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-reduction.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.losses.Reduction" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "AUTO" 7 | mtype: "" 8 | } 9 | member { 10 | name: "NONE" 11 | mtype: "" 12 | } 13 | member { 14 | name: "SUM" 15 | mtype: "" 16 | } 17 | member { 18 | name: "SUM_OVER_BATCH_SIZE" 19 | mtype: "" 20 | } 21 | member_method { 22 | name: "__init__" 23 | } 24 | member_method { 25 | name: "all" 26 | argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None" 27 | } 28 | member_method { 29 | name: "validate" 30 | argspec: "args=[\'cls\', \'key\'], varargs=None, keywords=None, defaults=None" 31 | } 32 | } 33 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.losses.-squared-hinge.pbtxt: 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-------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.metrics.experimental" 2 | tf_module { 3 | member { 4 | name: "PyMetric" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.mixed_precision.-policy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.mixed_precision.Policy" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "compute_dtype" 7 | mtype: "" 8 | } 9 | member { 10 | name: "name" 11 | mtype: "" 12 | } 13 | member { 14 | name: "variable_dtype" 15 | mtype: "" 16 | } 17 | member_method { 18 | name: "__init__" 19 | argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | member_method { 22 | name: "from_config" 23 | argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " 24 | } 25 | member_method { 26 | name: "get_config" 27 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 28 | } 29 | } 30 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.mixed_precision.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.mixed_precision" 2 | tf_module { 3 | member { 4 | name: "LossScaleOptimizer" 5 | mtype: "" 6 | } 7 | member { 8 | name: "Policy" 9 | mtype: "" 10 | } 11 | member_method { 12 | name: "global_policy" 13 | argspec: "args=[], varargs=None, keywords=None, defaults=None" 14 | } 15 | member_method { 16 | name: "set_global_policy" 17 | argspec: "args=[\'policy\'], varargs=None, keywords=None, defaults=None" 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.models.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.models.experimental" 2 | tf_module { 3 | member { 4 | name: "SharpnessAwareMinimization" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.legacy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.legacy" 2 | tf_module { 3 | member { 4 | name: "Adadelta" 5 | mtype: "" 6 | } 7 | member { 8 | name: "Adagrad" 9 | mtype: "" 10 | } 11 | member { 12 | name: "Adam" 13 | mtype: "" 14 | } 15 | member { 16 | name: "Adamax" 17 | mtype: "" 18 | } 19 | member { 20 | name: "Ftrl" 21 | mtype: "" 22 | } 23 | member { 24 | name: "Nadam" 25 | mtype: "" 26 | } 27 | member { 28 | name: "Optimizer" 29 | mtype: "" 30 | } 31 | member { 32 | name: "RMSprop" 33 | mtype: "" 34 | } 35 | member { 36 | name: "SGD" 37 | mtype: "" 38 | } 39 | } 40 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-cosine-decay-restarts.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.CosineDecayRestarts" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-cosine-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.CosineDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'alpha\', \'name\', \'warmup_target\', \'warmup_steps\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'None\', \'0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.ExponentialDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.InverseTimeDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt: 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"args=[\'self\', \'boundaries\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.optimizers.schedules.PolynomialDecay" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'initial_learning_rate\', \'decay_steps\', \'end_learning_rate\', \'power\', \'cycle\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1.0\', \'False\', \'None\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.preprocessing.sequence" 2 | tf_module { 3 | member { 4 | name: "TimeseriesGenerator" 5 | mtype: "" 6 | } 7 | member_method { 8 | name: "make_sampling_table" 9 | argspec: "args=[\'size\', \'sampling_factor\'], varargs=None, keywords=None, defaults=[\'1e-05\'], " 10 | } 11 | member_method { 12 | name: "pad_sequences" 13 | argspec: "args=[\'sequences\', \'maxlen\', \'dtype\', \'padding\', \'truncating\', \'value\'], varargs=None, keywords=None, defaults=[\'None\', \'int32\', \'pre\', \'pre\', \'0.0\'], " 14 | } 15 | member_method { 16 | name: "skipgrams" 17 | argspec: "args=[\'sequence\', \'vocabulary_size\', \'window_size\', \'negative_samples\', \'shuffle\', \'categorical\', \'sampling_table\', \'seed\'], varargs=None, keywords=None, defaults=[\'4\', \'1.0\', \'True\', \'False\', \'None\', \'None\'], " 18 | } 19 | } 20 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L1L2" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.-l1.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L1" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.-l2.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.L2" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l2\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.-orthogonal-regularizer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.OrthogonalRegularizer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'factor\', \'mode\'], varargs=None, keywords=None, defaults=[\'0.01\', \'rows\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.Regularizer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "from_config" 10 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | member_method { 13 | name: "get_config" 14 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 15 | } 16 | } 17 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.regularizers.l1.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.l1" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'l1\'], varargs=None, keywords=kwargs, defaults=[\'0.01\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: 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/tf_keras/api/golden/v2/tensorflow.keras.regularizers.orthogonal_regularizer.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.regularizers.orthogonal_regularizer" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | is_instance: "" 6 | member_method { 7 | name: "__init__" 8 | argspec: "args=[\'self\', \'factor\', \'mode\'], varargs=None, keywords=None, defaults=[\'0.01\', \'rows\'], " 9 | } 10 | member_method { 11 | name: "from_config" 12 | argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 13 | } 14 | member_method { 15 | name: "get_config" 16 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 17 | } 18 | } 19 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.saving.custom_object_scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.saving.custom_object_scope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.CustomObjectScope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.Progbar" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'target\', \'width\', \'verbose\', \'interval\', \'stateful_metrics\', \'unit_name\'], varargs=None, keywords=None, defaults=[\'30\', \'1\', \'0.05\', \'None\', \'step\'], " 8 | } 9 | member_method { 10 | name: "add" 11 | argspec: "args=[\'self\', \'n\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], " 12 | } 13 | member_method { 14 | name: "update" 15 | argspec: "args=[\'self\', \'current\', \'values\', \'finalize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 16 | } 17 | } 18 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.Sequence" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | } 8 | member_method { 9 | name: "on_epoch_end" 10 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 11 | } 12 | } 13 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-sidecar-evaluator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.SidecarEvaluator" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'model\', \'data\', \'checkpoint_dir\', \'steps\', \'max_evaluations\', \'callbacks\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " 8 | } 9 | member_method { 10 | name: "start" 11 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | } 14 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-steps-per-execution-tuner.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.StepsPerExecutionTuner" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member { 6 | name: "steps_per_execution" 7 | mtype: "" 8 | } 9 | member_method { 10 | name: "__init__" 11 | argspec: "args=[\'self\', \'optimizer\', \'spe_variable\', \'interval\', \'change_spe_interval\', \'change_threshold\'], varargs=None, keywords=None, defaults=[\'5\', \'10\', \'0.1\'], " 12 | } 13 | member_method { 14 | name: "start" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | member_method { 18 | name: "stop" 19 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.-timed-thread.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.TimedThread" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'interval\'], varargs=None, keywords=kwargs, defaults=None" 8 | } 9 | member_method { 10 | name: "is_alive" 11 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 12 | } 13 | member_method { 14 | name: "on_interval" 15 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 16 | } 17 | member_method { 18 | name: "start" 19 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 20 | } 21 | member_method { 22 | name: "stop" 23 | argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 24 | } 25 | } 26 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.custom_object_scope.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.custom_object_scope" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.experimental.-dataset-creator.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.experimental.DatasetCreator" 2 | tf_class { 3 | is_instance: "" 4 | is_instance: "" 5 | member_method { 6 | name: "__init__" 7 | argspec: "args=[\'self\', \'dataset_fn\', \'input_options\'], varargs=None, keywords=None, defaults=[\'None\'], " 8 | } 9 | } 10 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.experimental.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.experimental" 2 | tf_module { 3 | member { 4 | name: "DatasetCreator" 5 | mtype: "" 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /tf_keras/api/golden/v2/tensorflow.keras.utils.legacy.pbtxt: -------------------------------------------------------------------------------- 1 | path: "tensorflow.keras.utils.legacy" 2 | tf_module { 3 | member_method { 4 | name: "deserialize_keras_object" 5 | argspec: "args=[\'identifier\', \'module_objects\', \'custom_objects\', \'printable_module_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'object\'], " 6 | } 7 | member_method { 8 | name: "serialize_keras_object" 9 | argspec: "args=[\'instance\'], varargs=None, keywords=None, defaults=None" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /tf_keras/api/tests/API_UPDATE_WARNING.txt: -------------------------------------------------------------------------------- 1 | Golden file update requested! 2 | All test failures have been skipped, see the logs for detected diffs. 3 | This test is now going to write new golden files. 4 | Make sure to package the updates together with your change. 5 | 6 | You will need an explicit API approval. This may take longer than a normal 7 | review. 8 | -------------------------------------------------------------------------------- /tf_keras/api/tests/README.txt: -------------------------------------------------------------------------------- 1 | TensorFlow API backwards compatibility test 2 | This test ensures all changes to the public API of TensorFlow are intended. 3 | 4 | If this test fails, it means a change has been made to the public API. Backwards 5 | incompatible changes are not allowed. You can run the test as follows to update 6 | test goldens and package them with your change. 7 | 8 | $ bazel run keras/api/tests:api_compatibility_test \ 9 | # -- --update_goldens True 10 | 11 | You will need an API approval to make changes to the public TensorFlow API. This 12 | includes additions to the API. 13 | -------------------------------------------------------------------------------- /tf_keras/benchmarks/README.md: -------------------------------------------------------------------------------- 1 | # TF-Keras Benchmark 2 | 3 | This package contains benchmarks on TF-Keras models and components. 4 | -------------------------------------------------------------------------------- /tf_keras/benchmarks/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Keras Benchmarks.""" 16 | -------------------------------------------------------------------------------- /tf_keras/datasets/BUILD: -------------------------------------------------------------------------------- 1 | # Description: 2 | # Contains the TF-Keras datasets package (internal TensorFlow version). 3 | 4 | # Placeholder: load unaliased py_library 5 | 6 | package( 7 | # copybara:uncomment default_applicable_licenses = ["//tf_keras:license"], 8 | default_visibility = [ 9 | "//tf_keras:friends", 10 | ], 11 | licenses = ["notice"], 12 | ) 13 | 14 | py_library( 15 | name = "datasets", 16 | srcs = [ 17 | "__init__.py", 18 | "boston_housing.py", 19 | "cifar.py", 20 | "cifar10.py", 21 | "cifar100.py", 22 | "fashion_mnist.py", 23 | "imdb.py", 24 | "mnist.py", 25 | "reuters.py", 26 | ], 27 | visibility = ["//visibility:public"], 28 | deps = [ 29 | "//:expect_numpy_installed", 30 | "//:expect_tensorflow_installed", 31 | "//tf_keras:backend", 32 | "//tf_keras/utils:engine_utils", 33 | ], 34 | ) 35 | -------------------------------------------------------------------------------- /tf_keras/datasets/__init__.py: -------------------------------------------------------------------------------- 1 | """Small NumPy datasets for debugging/testing.""" 2 | -------------------------------------------------------------------------------- /tf_keras/distribute/README.md: -------------------------------------------------------------------------------- 1 | # TF-Keras with Distribution Strategy Tests 2 | 3 | This directory contains unit tests that combine TF-Keras library with 4 | [Distribution Training](https://www.tensorflow.org/guide/distributed_training). 5 | Tests that use a custom training loop instead of TF-Keras compile/fit should be 6 | placed under python/distribute directory instead. 7 | -------------------------------------------------------------------------------- /tf_keras/distribute/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Keras' Distribution Strategy library.""" 16 | -------------------------------------------------------------------------------- /tf_keras/dtensor/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2022 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Keras' DTensor library.""" 16 | 17 | 18 | from tensorflow.compat.v2.experimental import dtensor as dtensor_api 19 | -------------------------------------------------------------------------------- /tf_keras/engine/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/engine/__init__.py -------------------------------------------------------------------------------- /tf_keras/engine/saving.py: -------------------------------------------------------------------------------- 1 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | 16 | """Model saving utilities. 17 | 18 | Everything has been moved to keras/saving/. This file will be deleted soon. 19 | """ 20 | 21 | from tf_keras.saving import * # noqa: F401,F403 22 | -------------------------------------------------------------------------------- /tf_keras/estimator/BUILD: -------------------------------------------------------------------------------- 1 | # Description: 2 | # Contains TF-Keras models to Estimator converter 3 | 4 | # Placeholder: load unaliased py_library 5 | 6 | package( 7 | # copybara:uncomment default_applicable_licenses = ["//tf_keras:license"], 8 | default_visibility = [ 9 | "//tf_keras:friends", 10 | ], 11 | licenses = ["notice"], 12 | ) 13 | 14 | py_library( 15 | name = "estimator", 16 | srcs = [ 17 | "__init__.py", 18 | ], 19 | deps = [ 20 | "//:expect_tensorflow_installed", 21 | ], 22 | ) 23 | -------------------------------------------------------------------------------- /tf_keras/export/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2023 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | 16 | from tf_keras.export.export_lib import ExportArchive 17 | -------------------------------------------------------------------------------- /tf_keras/feature_column/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/feature_column/__init__.py -------------------------------------------------------------------------------- /tf_keras/integration_test/README.md: -------------------------------------------------------------------------------- 1 | # TF-Keras Integration Test 2 | 3 | This package contains integration tests that ensure the correct interaction 4 | between TF-Keras and other Tensorflow high level APIs, like dataset, TF function 5 | and distribution strategy, etc. 6 | 7 | There are a few guidelines for the tests under this package. 8 | 9 | *. Only use the public TF API. 10 | *. Test should focus on the end to end use case between TF-Keras and other TF high 11 | level API. Unit test will be a better place for behavior testing for the 12 | individual APIs. 13 | -------------------------------------------------------------------------------- /tf_keras/integration_test/models/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/integration_test/models/__init__.py -------------------------------------------------------------------------------- /tf_keras/integration_test/models/input_spec.py: -------------------------------------------------------------------------------- 1 | """Class to specify an input's shape/dtype/value range. 2 | """ 3 | 4 | import tensorflow as tf 5 | 6 | 7 | class InputSpec: 8 | def __init__(self, shape, dtype="float32", range=None): 9 | self.shape = shape 10 | self.dtype = dtype 11 | self.range = range 12 | 13 | 14 | def spec_to_value(spec): 15 | shape = spec.shape 16 | dtype = spec.dtype 17 | rg = spec.range or [0, 1] 18 | if dtype == "string": 19 | return tf.constant( 20 | ["some string" for _ in range(shape[0])], dtype="string" 21 | ) 22 | return tf.random.stateless_uniform( 23 | shape, seed=[123, 1], minval=rg[0], maxval=rg[1], dtype=dtype 24 | ) 25 | -------------------------------------------------------------------------------- /tf_keras/kokoro/github/ubuntu/cpu/continuous.cfg: -------------------------------------------------------------------------------- 1 | build_file: "tf-keras/tf_keras/kokoro/github/ubuntu/cpu/build.sh" 2 | 3 | action { 4 | define_artifacts { 5 | regex: "**/sponge_log.log" 6 | regex: "**/sponge_log.xml" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /tf_keras/kokoro/github/ubuntu/cpu/presubmit.cfg: -------------------------------------------------------------------------------- 1 | build_file: "tf-keras/tf_keras/kokoro/github/ubuntu/cpu/build.sh" 2 | 3 | action { 4 | define_artifacts { 5 | regex: "**/sponge_log.log" 6 | regex: "**/sponge_log.xml" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /tf_keras/kokoro/github/ubuntu/gpu/continuous.cfg: -------------------------------------------------------------------------------- 1 | build_file: "tf-keras/tf_keras/kokoro/github/ubuntu/gpu/build.sh" 2 | 3 | action { 4 | define_artifacts { 5 | regex: "**/sponge_log.log" 6 | regex: "**/sponge_log.xml" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /tf_keras/kokoro/github/ubuntu/gpu/presubmit.cfg: -------------------------------------------------------------------------------- 1 | build_file: "tf-keras/tf_keras/kokoro/github/ubuntu/gpu/build.sh" 2 | 3 | action { 4 | define_artifacts { 5 | regex: "**/sponge_log.log" 6 | regex: "**/sponge_log.xml" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /tf_keras/layers/experimental/__init__.py: 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All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | -------------------------------------------------------------------------------- /tf_keras/premade_models/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Premade Model API.""" 16 | 17 | from tf_keras.premade_models import linear 18 | from tf_keras.premade_models import wide_deep 19 | -------------------------------------------------------------------------------- /tf_keras/protobuf/BUILD: -------------------------------------------------------------------------------- 1 | # Description: 2 | # Contains TF-Keras protobufs 3 | 4 | load("@com_google_protobuf//:protobuf.bzl", "py_proto_library") 5 | 6 | package( 7 | # copybara:uncomment default_applicable_licenses = ["//tf_keras:license"], 8 | default_visibility = [ 9 | "//tf_keras:friends", 10 | ], 11 | licenses = ["notice"], # Apache 2.0 12 | ) 13 | 14 | py_proto_library( 15 | name = "saved_metadata_proto_py_pb2", 16 | srcs = ["saved_metadata.proto"], 17 | deps = [":versions_proto_py_pb2"], 18 | ) 19 | 20 | py_proto_library( 21 | name = "projector_config_proto_py_pb2", 22 | srcs = ["projector_config.proto"], 23 | ) 24 | 25 | py_proto_library( 26 | name = "versions_proto_py_pb2", 27 | srcs = ["versions.proto"], 28 | ) 29 | -------------------------------------------------------------------------------- /tf_keras/saving/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/saving/__init__.py -------------------------------------------------------------------------------- /tf_keras/saving/legacy/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/saving/legacy/__init__.py -------------------------------------------------------------------------------- /tf_keras/saving/legacy/saved_model/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/saving/legacy/saved_model/__init__.py -------------------------------------------------------------------------------- /tf_keras/testing_infra/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright 2022 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | -------------------------------------------------------------------------------- /tf_keras/tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/keras-team/tf-keras/c79cc0ef7df3d4066791f7cde38199cfa23e26f0/tf_keras/tests/__init__.py -------------------------------------------------------------------------------- /tf_keras/tools/bazel_build.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | BAZEL_VERSION=5.4.0 3 | rm -rf ~/bazel 4 | mkdir ~/bazel 5 | 6 | pushd ~/bazel 7 | wget https://github.com/bazelbuild/bazel/releases/download/"${BAZEL_VERSION}"/bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh 8 | chmod +x bazel-*.sh 9 | ./bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh --user 10 | rm bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh 11 | popd 12 | 13 | PATH="/home/kbuilder/bin:$PATH" 14 | which bazel 15 | bazel version 16 | 17 | TAG_FILTERS="-no_oss,-oss_excluded,-oss_serial,-gpu,-benchmark-test,-no_oss_py3,-no_pip,-nopip" 18 | bazel build \ 19 | --define=use_fast_cpp_protos=false \ 20 | --build_tag_filters="${TAG_FILTERS}" \ 21 | -- //tf_keras/... 22 | -------------------------------------------------------------------------------- /tf_keras/tools/gpu_build/BUILD: -------------------------------------------------------------------------------- 1 | package( 2 | licenses = ["notice"], # Apache 2.0 3 | ) 4 | 5 | sh_binary( 6 | name = "parallel_gpu_execute", 7 | srcs = ["parallel_gpu_execute.sh"], 8 | ) 9 | -------------------------------------------------------------------------------- /tf_keras/utils/keras_logging.py: -------------------------------------------------------------------------------- 1 | # Copyright 2022 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Flags for logging control.""" 16 | 17 | # LINT.IfChange(external_interactive_logging) 18 | INTERACTIVE_LOGGING_DEFAULT = True 19 | # LINT.ThenChange(../../utils/keras_logging.py:internal_interactive_logging) 20 | -------------------------------------------------------------------------------- /tf_keras/utils/mode_keys.py: -------------------------------------------------------------------------------- 1 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | """Keras model mode constants.""" 16 | 17 | # isort: off 18 | from tensorflow.python.saved_model.model_utils.mode_keys import ( # noqa: F401,E501 19 | KerasModeKeys as ModeKeys, 20 | ) 21 | -------------------------------------------------------------------------------- /third_party/BUILD: -------------------------------------------------------------------------------- 1 | package( 2 | licenses = ["notice"], # Apache 2.0 3 | ) 4 | 5 | exports_files([ 6 | "LICENSE", 7 | "six.BUILD", 8 | ]) 9 | 10 | package(default_visibility = ["//visibility:public"]) 11 | -------------------------------------------------------------------------------- /third_party/six.BUILD: -------------------------------------------------------------------------------- 1 | # Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2 | # 3 | # Licensed under the Apache License, Version 2.0 (the "License"); 4 | # you may not use this file except in compliance with the License. 5 | # You may obtain a copy of the License at 6 | # 7 | # http://www.apache.org/licenses/LICENSE-2.0 8 | # 9 | # Unless required by applicable law or agreed to in writing, software 10 | # distributed under the License is distributed on an "AS IS" BASIS, 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 | # See the License for the specific language governing permissions and 13 | # limitations under the License. 14 | # ============================================================================== 15 | 16 | package(default_visibility = ["//visibility:public"]) 17 | 18 | licenses(["notice"]) 19 | 20 | py_library( 21 | name = "six", 22 | srcs = ["six.py"], 23 | ) 24 | --------------------------------------------------------------------------------