├── .clang-tidy ├── .codecov.yml ├── .github ├── ISSUE_TEMPLATE.md └── PULL_REQUEST_TEMPLATE.md ├── .gitignore ├── .gitmodules ├── .mxnet_root ├── .travis.yml ├── 3rdparty ├── dmlc-core │ ├── .editorconfig │ ├── .travis.yml │ ├── CMakeLists.txt │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── appveyor.yml │ ├── cmake │ │ ├── Modules │ │ │ └── FindHDFS.cmake │ │ ├── Utils.cmake │ │ ├── build_config.h.in │ │ ├── gtest_cmake.in │ │ └── lint.cmake │ ├── doc │ │ ├── .gitignore │ │ ├── Doxyfile │ │ ├── Makefile │ │ ├── README │ │ ├── conf.py │ │ ├── index.md │ │ ├── parameter.md │ │ └── sphinx_util.py │ ├── example │ │ ├── dmlc_example.mk │ │ └── parameter.cc │ ├── include │ │ └── dmlc │ │ │ ├── any.h │ │ │ ├── array_view.h │ │ │ ├── base.h │ │ │ ├── blockingconcurrentqueue.h │ │ │ ├── build_config.h │ │ │ ├── common.h │ │ │ ├── concurrency.h │ │ │ ├── concurrentqueue.h │ │ │ ├── config.h │ │ │ ├── data.h │ │ │ ├── endian.h │ │ │ ├── filesystem.h │ │ │ ├── input_split_shuffle.h │ │ │ ├── io.h │ │ │ ├── json.h │ │ │ ├── logging.h │ │ │ ├── lua.h │ │ │ ├── memory.h │ │ │ ├── memory_io.h │ │ │ ├── omp.h │ │ │ ├── optional.h │ │ │ ├── parameter.h │ │ │ ├── recordio.h │ │ │ ├── registry.h │ │ │ ├── serializer.h │ │ │ ├── thread_group.h │ │ │ ├── thread_local.h │ │ │ ├── threadediter.h │ │ │ ├── timer.h │ │ │ └── type_traits.h │ ├── make │ │ └── dmlc.mk │ ├── scripts │ │ ├── lint.py │ │ ├── packages.mk │ │ ├── setup_nvcc.sh │ │ └── travis │ │ │ ├── travis_before_cache.sh │ │ │ ├── travis_osx_install.sh │ │ │ ├── travis_script.sh │ │ │ └── travis_setup_env.sh │ ├── src │ │ ├── build_config.cc │ │ ├── config.cc │ │ ├── data.cc │ │ ├── io.cc │ │ ├── io │ │ │ ├── azure_filesys.cc │ │ │ ├── azure_filesys.h │ │ │ ├── cached_input_split.h │ │ │ ├── filesys.cc │ │ │ ├── filesys.h │ │ │ ├── hdfs_filesys.cc │ │ │ ├── hdfs_filesys.h │ │ │ ├── indexed_recordio_split.cc │ │ │ ├── indexed_recordio_split.h │ │ │ ├── input_split_base.cc │ │ │ ├── input_split_base.h │ │ │ ├── line_split.cc │ │ │ ├── line_split.h │ │ │ ├── local_filesys.cc │ │ │ ├── local_filesys.h │ │ │ ├── recordio_split.cc │ │ │ ├── recordio_split.h │ │ │ ├── s3_filesys.cc │ │ │ ├── s3_filesys.h │ │ │ ├── single_file_split.h │ │ │ ├── single_threaded_input_split.h │ │ │ ├── threaded_input_split.h │ │ │ └── uri_spec.h │ │ └── recordio.cc │ ├── test.py │ ├── test │ │ ├── .gitignore │ │ ├── README.md │ │ ├── csv_parser_test.cc │ │ ├── dataiter_test.cc │ │ ├── dmlc_test.mk │ │ ├── filesys_test.cc │ │ ├── iostream_test.cc │ │ ├── libfm_parser_test.cc │ │ ├── libsvm_parser_test.cc │ │ ├── logging_test.cc │ │ ├── parameter_test.cc │ │ ├── recordio_test.cc │ │ ├── registry_test.cc │ │ ├── split_read_test.cc │ │ ├── split_repeat_read_test.cc │ │ ├── split_test.cc │ │ ├── stream_read_test.cc │ │ ├── strtonum_test.cc │ │ └── unittest │ │ │ ├── .gitignore │ │ │ ├── CMakeLists.txt │ │ │ ├── build_config.h.in │ │ │ ├── dmlc_unittest.mk │ │ │ ├── unittest_any.cc │ │ │ ├── unittest_array_view.cc │ │ │ ├── unittest_config.cc │ │ │ ├── unittest_env.cc │ │ │ ├── unittest_inputsplit.cc │ │ │ ├── unittest_json.cc │ │ │ ├── unittest_lockfree.cc │ │ │ ├── unittest_logging.cc │ │ │ ├── unittest_main.cc │ │ │ ├── unittest_optional.cc │ │ │ ├── unittest_param.cc │ │ │ ├── unittest_parser.cc │ │ │ ├── unittest_serializer.cc │ │ │ ├── unittest_tempdir.cc │ │ │ ├── unittest_thread_group.cc │ │ │ ├── unittest_threaditer.cc │ │ │ └── unittest_threaditer_exc_handling.cc │ └── windows │ │ ├── .gitignore │ │ ├── README.md │ │ ├── dmlc.sln │ │ └── dmlc │ │ └── dmlc.vcxproj └── ps-lite │ ├── .travis.yml │ ├── CMakeLists.txt │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── cmake │ ├── External │ │ └── zmq.cmake │ ├── Modules │ │ └── FindZMQ.cmake │ └── ProtoBuf.cmake │ ├── docs │ ├── Doxyfile │ ├── Makefile │ ├── api.md │ ├── conf.py │ ├── env.md │ ├── get_started.md │ ├── how_to.md │ ├── index.md │ ├── overview.md │ ├── sphinx_util.py │ └── tutorials.md │ ├── include │ ├── dmlc │ │ ├── base.h │ │ └── logging.h │ └── ps │ │ ├── base.h │ │ ├── internal │ │ ├── assign_op.h │ │ ├── customer.h │ │ ├── elastic_training.h │ │ ├── env.h │ │ ├── message.h │ │ ├── parallel_kv_match.h │ │ ├── parallel_sort.h │ │ ├── postoffice.h │ │ ├── threadsafe_queue.h │ │ ├── utils.h │ │ └── van.h │ │ ├── kv_app.h │ │ ├── ps.h │ │ ├── range.h │ │ ├── sarray.h │ │ └── simple_app.h │ ├── make │ ├── deps.mk │ └── ps.mk │ ├── src │ ├── customer.cc │ ├── elastic_training.cc │ ├── meta.pb.cc │ ├── meta.proto │ ├── network_utils.h │ ├── postoffice.cc │ ├── resender.h │ ├── van.cc │ ├── windows │ │ └── unistd.h │ └── zmq_van.h │ └── tests │ ├── README.md │ ├── lint.py │ ├── local.sh │ ├── local_multi_workers.sh │ ├── repeat.sh │ ├── test.mk │ ├── test_connection.cc │ ├── test_connection.dSYM │ └── Contents │ │ ├── Info.plist │ │ └── Resources │ │ └── DWARF │ │ └── test_connection │ ├── test_kv_app.cc │ ├── test_kv_app.dSYM │ └── Contents │ │ ├── Info.plist │ │ └── Resources │ │ └── DWARF │ │ └── test_kv_app │ ├── test_kv_app_multi_workers.cc │ ├── test_kv_app_multi_workers.dSYM │ └── Contents │ │ ├── Info.plist │ │ └── Resources │ │ └── DWARF │ │ └── test_kv_app_multi_workers │ ├── test_simple_app.cc │ ├── test_simple_app.dSYM │ └── Contents │ │ ├── Info.plist │ │ └── Resources │ │ └── DWARF │ │ └── test_simple_app │ └── travis │ ├── travis_before_cache.sh │ ├── travis_script.sh │ └── travis_setup_env.sh ├── CMakeLists.txt ├── CODEOWNERS ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── CONTRIBUTORS.md ├── DISCLAIMER ├── Jenkinsfile ├── KEYS ├── LICENSE ├── MKLDNN_README.md ├── Makefile ├── NEWS.md ├── NOTICE ├── README.md ├── Untitled.ipynb ├── amalgamation ├── .gitignore ├── Makefile ├── README.md ├── amalgamation.py ├── dmlc-minimum0.cc ├── jni │ ├── org │ │ └── dmlc │ │ │ └── mxnet │ │ │ ├── MxnetException.java │ │ │ └── Predictor.java │ ├── org_dmlc_mxnet_Predictor.h │ └── predictor.cc ├── mxnet_predict0.cc ├── prep_nnvm.sh └── python │ └── mxnet_predict.py ├── appveyor.yml ├── benchmark └── python │ ├── control_flow │ └── rnn.py │ ├── quantization │ └── benchmark_op.py │ └── sparse │ ├── cast_storage.py │ ├── dot.py │ ├── memory_benchmark.py │ ├── sparse_end2end.py │ ├── sparse_op.py │ ├── updater.py │ └── util.py ├── ci ├── Jenkinsfile_docker_cache ├── Jenkinsfile_utils.groovy ├── README.md ├── __init__.py ├── build.py ├── build_windows.py ├── docker │ ├── Dockerfile.build.android_armv7 │ ├── Dockerfile.build.android_armv8 │ ├── Dockerfile.build.armv6 │ ├── Dockerfile.build.armv7 │ ├── Dockerfile.build.armv8 │ ├── Dockerfile.build.centos7_cpu │ ├── Dockerfile.build.centos7_gpu │ ├── Dockerfile.build.jetson │ ├── Dockerfile.build.ubuntu_base_cpu │ ├── Dockerfile.build.ubuntu_base_gpu │ ├── Dockerfile.build.ubuntu_blc │ ├── Dockerfile.build.ubuntu_build_cuda │ ├── Dockerfile.build.ubuntu_cpu │ ├── Dockerfile.build.ubuntu_gpu │ ├── Dockerfile.build.ubuntu_gpu_tensorrt │ ├── Dockerfile.build.ubuntu_nightly_cpu │ ├── Dockerfile.build.ubuntu_nightly_gpu │ ├── Dockerfile.build.ubuntu_rat │ ├── install │ │ ├── android_arm64_openblas.sh │ │ ├── android_armv7_openblas.sh │ │ ├── android_ndk.sh │ │ ├── arm64_openblas.sh │ │ ├── arm_openblas.sh │ │ ├── centos7_adduser.sh │ │ ├── centos7_ccache.sh │ │ ├── centos7_core.sh │ │ ├── centos7_python.sh │ │ ├── deb_ubuntu_ccache.sh │ │ ├── docs_requirements │ │ ├── export_gpg_keys.sh │ │ ├── r.gpg │ │ ├── sbt.gpg │ │ ├── tensorrt.sh │ │ ├── ubuntu_adduser.sh │ │ ├── ubuntu_arm.sh │ │ ├── ubuntu_caffe.sh │ │ ├── ubuntu_clang.sh │ │ ├── ubuntu_clojure.sh │ │ ├── ubuntu_core.sh │ │ ├── ubuntu_docs.sh │ │ ├── ubuntu_emscripten.sh │ │ ├── ubuntu_gcc8.sh │ │ ├── ubuntu_julia.sh │ │ ├── ubuntu_llvm.sh │ │ ├── ubuntu_mklml.sh │ │ ├── ubuntu_nightly_tests.sh │ │ ├── ubuntu_npm_blc.sh │ │ ├── ubuntu_nvidia.sh │ │ ├── ubuntu_onnx.sh │ │ ├── ubuntu_perl.sh │ │ ├── ubuntu_python.sh │ │ ├── ubuntu_r.sh │ │ ├── ubuntu_rat.sh │ │ ├── ubuntu_runas_sudo.sh │ │ ├── ubuntu_scala.sh │ │ ├── ubuntu_tutorials.sh │ │ └── ubuntu_tvm.sh │ └── runtime_functions.sh ├── docker_cache.py ├── docker_cache_requirements ├── other │ ├── ci_deploy_doc.sh │ └── pylintrc ├── test_docker_cache.py ├── travis │ └── install.sh ├── util.py └── windows │ ├── test_py2_cpu.ps1 │ ├── test_py2_gpu.ps1 │ ├── test_py3_cpu.ps1 │ └── test_py3_gpu.ps1 ├── cmake ├── ChooseBlas.cmake ├── FirstClassLangCuda.cmake ├── MklDnn.cmake ├── Modules │ ├── FindAccelerate.cmake │ ├── FindAtlas.cmake │ ├── FindGperftools.cmake │ ├── FindJeMalloc.cmake │ ├── FindMKL.cmake │ ├── FindNCCL.cmake │ └── FindOpenBLAS.cmake └── Utils.cmake ├── contrib └── clojure-package │ ├── .gitignore │ ├── LICENSE │ ├── README.md │ ├── ci-test.sh │ ├── examples │ ├── cnn-text-classification │ │ ├── .gitignore │ │ ├── README.md │ │ ├── get_data.sh │ │ ├── project.clj │ │ └── src │ │ │ └── cnn_text_classification │ │ │ ├── classifier.clj │ │ │ └── data_helper.clj │ ├── gan │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── gan │ │ │ ├── gan_mnist.clj │ │ │ └── viz.clj │ ├── imclassification │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── imclassification │ │ │ └── train_mnist.clj │ ├── module │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── mnist_mlp.clj │ ├── multi-label │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── multi_label │ │ │ └── core.clj │ ├── neural-style │ │ ├── .gitignore │ │ ├── README.md │ │ ├── download.sh │ │ ├── project.clj │ │ └── src │ │ │ └── neural_style │ │ │ ├── core.clj │ │ │ └── model_vgg_19.clj │ ├── pre-trained-models │ │ ├── .gitignore │ │ ├── README.md │ │ ├── download-caltech.sh │ │ ├── download-resnet-152.sh │ │ ├── download-resnet-50.sh │ │ ├── project.clj │ │ └── src │ │ │ └── pre_trained_models │ │ │ ├── fine_tune.clj │ │ │ └── predict_image.clj │ ├── profiler │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── profiler │ │ │ └── core.clj │ ├── rnn │ │ ├── .gitignore │ │ ├── README.md │ │ ├── get_data.sh │ │ ├── project.clj │ │ └── src │ │ │ └── rnn │ │ │ ├── lstm.clj │ │ │ ├── test_char_rnn.clj │ │ │ ├── train_char_rnn.clj │ │ │ └── util.clj │ ├── scripts │ │ ├── get_cifar_data.sh │ │ └── get_mnist_data.sh │ ├── tutorial │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ │ └── tutorial │ │ │ ├── introduction.clj │ │ │ ├── kvstore.clj │ │ │ ├── module.clj │ │ │ ├── ndarray.clj │ │ │ └── symbol.clj │ └── visualization │ │ ├── .gitignore │ │ ├── README.md │ │ ├── project.clj │ │ └── src │ │ └── visualization │ │ └── core.clj │ ├── lein-cljfmt-check │ ├── lein-cljfmt-fix │ ├── project.clj │ ├── resources │ └── log4j.properties │ ├── scripts │ ├── get_cifar_data.sh │ └── get_mnist_data.sh │ ├── src │ ├── dev │ │ └── generator.clj │ └── org │ │ └── apache │ │ └── clojure_mxnet │ │ ├── base.clj │ │ ├── callback.clj │ │ ├── context.clj │ │ ├── dtype.clj │ │ ├── eval_metric.clj │ │ ├── executor.clj │ │ ├── gen │ │ └── .gitignore │ │ ├── initializer.clj │ │ ├── io.clj │ │ ├── kvstore.clj │ │ ├── kvstore_server.clj │ │ ├── layout.clj │ │ ├── lr_scheduler.clj │ │ ├── module.clj │ │ ├── monitor.clj │ │ ├── ndarray.clj │ │ ├── optimizer.clj │ │ ├── profiler.clj │ │ ├── random.clj │ │ ├── shape.clj │ │ ├── symbol.clj │ │ ├── util.clj │ │ └── visualization.clj │ ├── test │ ├── dev │ │ └── generator_test.clj │ ├── good-test-ndarray.clj │ ├── good-test-symbol.clj │ └── org │ │ └── apache │ │ └── clojure_mxnet │ │ ├── callback_test.clj │ │ ├── conv_test.clj │ │ ├── eval_metric_test.clj │ │ ├── executor_test.clj │ │ ├── initializer_test.clj │ │ ├── io_test.clj │ │ ├── kvstore_test.clj │ │ ├── lr_scheduler_test.clj │ │ ├── module_test.clj │ │ ├── ndarray_test.clj │ │ ├── operator_test.clj │ │ ├── optimizer_test.clj │ │ ├── profiler_test.clj │ │ ├── random_test.clj │ │ ├── shape_test.clj │ │ ├── symbol_test.clj │ │ ├── test_util.clj │ │ ├── util_test.clj │ │ └── visualization_test.clj │ └── testing.md ├── cpp-package ├── .travis.yml ├── CMakeLists.txt ├── LICENSE ├── README.md ├── cpp-package.mk ├── example │ ├── CMakeLists.txt │ ├── Makefile │ ├── alexnet.cpp │ ├── charRNN.cpp │ ├── example.mk │ ├── feature_extract │ │ ├── Makefile │ │ ├── README.md │ │ ├── feature_extract.cpp │ │ ├── prepare_data_with_opencv.cpp │ │ └── run.sh │ ├── get_data.sh │ ├── googlenet.cpp │ ├── inception_bn.cpp │ ├── lenet.cpp │ ├── lenet_with_mxdataiter.cpp │ ├── mlp.cpp │ ├── mlp_cpu.cpp │ ├── mlp_csv.cpp │ ├── mlp_gpu.cpp │ ├── mnist_to_csv.py │ ├── resnet.cpp │ ├── run_lenet_with_mxdataiter.sh │ ├── test_optimizer.cpp │ ├── test_score.cpp │ ├── unittests │ │ └── unit_test_mlp_csv.sh │ └── utils.h ├── include │ └── mxnet-cpp │ │ ├── .gitignore │ │ ├── CPPLINT.cfg │ │ ├── MxNetCpp.h │ │ ├── base.h │ │ ├── executor.h │ │ ├── executor.hpp │ │ ├── initializer.h │ │ ├── io.h │ │ ├── io.hpp │ │ ├── kvstore.h │ │ ├── kvstore.hpp │ │ ├── lr_scheduler.h │ │ ├── metric.h │ │ ├── model.h │ │ ├── monitor.h │ │ ├── monitor.hpp │ │ ├── ndarray.h │ │ ├── ndarray.hpp │ │ ├── op_map.h │ │ ├── op_suppl.h │ │ ├── op_util.h │ │ ├── operator.h │ │ ├── operator.hpp │ │ ├── optimizer.h │ │ ├── optimizer.hpp │ │ ├── shape.h │ │ ├── symbol.h │ │ └── symbol.hpp ├── scripts │ ├── OpWrapperGenerator.py │ └── lint.py └── tests │ ├── ci_test.sh │ └── travis │ ├── run_test.sh │ └── setup.sh ├── docker ├── .gitignore ├── Dockerfiles │ ├── Dockerfile.in.julia │ ├── Dockerfile.in.lib.cpu │ ├── Dockerfile.in.lib.gpu │ ├── Dockerfile.in.perl │ ├── Dockerfile.in.python │ ├── Dockerfile.in.r-lang │ ├── Dockerfile.in.scala │ └── License.md ├── README.md ├── docker-python │ ├── README.md │ ├── build_python_dockerfile.sh │ └── test_mxnet.py ├── install │ ├── cpp.sh │ ├── julia.sh │ ├── perl.sh │ ├── python.sh │ ├── r.sh │ └── scala.sh ├── run.sh └── tool.sh ├── docs ├── .dockerignore ├── .gitignore ├── Dockerfile ├── Doxyfile ├── Jenkinsfile ├── Jenkinsfile-dev ├── Makefile ├── README.md ├── _static │ ├── cn.svg │ ├── js │ │ ├── auto_module_index.js │ │ ├── clipboard.min.js │ │ ├── copycode.js │ │ ├── docversion.js │ │ ├── navbar.js │ │ ├── options.js │ │ ├── page.js │ │ ├── search.js │ │ └── sidebar.js │ ├── mxnet-theme │ │ ├── footer.html │ │ ├── index.html │ │ ├── layout.html │ │ ├── navbar.html │ │ └── theme.conf │ ├── mxnet.css │ ├── searchtools_custom.js │ ├── selectlang.js │ └── us.svg ├── api │ ├── c++ │ │ └── index.md │ ├── clojure │ │ ├── index.md │ │ ├── kvstore.md │ │ ├── module.md │ │ ├── ndarray.md │ │ ├── symbol.md │ │ └── symbol_in_pictures.md │ ├── index.md │ ├── julia │ │ └── index.md │ ├── perl │ │ ├── index.md │ │ ├── io.md │ │ ├── kvstore.md │ │ ├── module.md │ │ ├── ndarray.md │ │ └── symbol.md │ ├── python │ │ ├── autograd │ │ │ └── autograd.md │ │ ├── callback │ │ │ └── callback.md │ │ ├── contrib │ │ │ ├── contrib.md │ │ │ ├── onnx.md │ │ │ ├── svrg_optimization.md │ │ │ └── text.md │ │ ├── executor │ │ │ └── executor.md │ │ ├── gluon │ │ │ ├── contrib.md │ │ │ ├── data.md │ │ │ ├── gluon.md │ │ │ ├── loss.md │ │ │ ├── model_zoo.md │ │ │ ├── nn.md │ │ │ └── rnn.md │ │ ├── image │ │ │ └── image.md │ │ ├── index.md │ │ ├── io │ │ │ └── io.md │ │ ├── kvstore │ │ │ └── kvstore.md │ │ ├── metric │ │ │ └── metric.md │ │ ├── model.md │ │ ├── module │ │ │ └── module.md │ │ ├── ndarray │ │ │ ├── contrib.md │ │ │ ├── linalg.md │ │ │ ├── ndarray.md │ │ │ ├── random.md │ │ │ └── sparse.md │ │ ├── optimization │ │ │ ├── contrib.md │ │ │ └── optimization.md │ │ ├── profiler │ │ │ └── profiler.md │ │ ├── rtc │ │ │ └── rtc.md │ │ ├── symbol │ │ │ ├── contrib.md │ │ │ ├── linalg.md │ │ │ ├── random.md │ │ │ ├── rnn.md │ │ │ ├── sparse.md │ │ │ └── symbol.md │ │ ├── symbol_in_pictures │ │ │ └── symbol_in_pictures.md │ │ └── tools │ │ │ ├── test_utils.md │ │ │ └── visualization.md │ ├── r │ │ ├── Makefile │ │ └── index.md │ └── scala │ │ ├── index.md │ │ ├── infer.md │ │ ├── io.md │ │ ├── kvstore.md │ │ ├── model.md │ │ ├── module.md │ │ ├── ndarray.md │ │ ├── symbol.md │ │ └── symbol_in_pictures.md ├── architecture │ ├── exception_handling.md │ ├── index.md │ ├── note_data_loading.md │ ├── note_engine.md │ ├── note_memory.md │ ├── overview.md │ ├── program_model.md │ └── rnn_interface.md ├── build_version_doc │ ├── AddPackageLink.py │ ├── AddVersion.py │ ├── Dockerfile │ ├── README.md │ ├── artifacts │ │ ├── .htaccess │ │ ├── index.html │ │ └── mxnet.css │ ├── build_all_version.sh │ ├── build_doc.sh │ ├── build_site_tag.sh │ ├── setup_docs_ubuntu.sh │ └── update_all_version.sh ├── community │ ├── contribute.md │ ├── ecosystem.md │ ├── index.md │ ├── mxnet_channels.md │ └── powered_by.md ├── conf.py ├── error │ ├── 404.md │ └── api.md ├── faq │ ├── add_op_in_backend.md │ ├── bucketing.md │ ├── caffe.md │ ├── cloud.md │ ├── develop_and_hack.md │ ├── distributed_training.md │ ├── env_var.md │ ├── faq.md │ ├── finetune.md │ ├── float16.md │ ├── gradient_compression.md │ ├── index.md │ ├── model_parallel_lstm.md │ ├── multi_devices.md │ ├── new_op.md │ ├── nnpack.md │ ├── perf.md │ ├── recordio.md │ ├── s3_integration.md │ ├── security.md │ ├── smart_device.md │ ├── visualize_graph.md │ └── why_mxnet.md ├── gluon │ └── index.md ├── index.md ├── install │ ├── amazonlinux_setup.md │ ├── build_from_source.md │ ├── c_plus_plus.md │ ├── centos_setup.md │ ├── download.md │ ├── index.md │ ├── install_mxnet_ubuntu_python.sh │ ├── install_mxnet_ubuntu_r.sh │ ├── osx_setup.md │ ├── raspbian_setup.md │ ├── scala_setup.md │ ├── tx2_setup.md │ ├── ubuntu_setup.md │ ├── validate_mxnet.md │ └── windows_setup.md ├── model_zoo │ └── index.md ├── mxdoc.py ├── settings.ini └── tutorials │ ├── basic │ ├── data.md │ ├── index.md │ ├── module.md │ ├── ndarray.md │ ├── ndarray_indexing.md │ └── symbol.md │ ├── c++ │ ├── basics.md │ └── index.md │ ├── control_flow │ ├── ControlFlowTutorial.md │ └── index.md │ ├── embedded │ ├── index.md │ └── wine_detector.md │ ├── gluon │ ├── autograd.md │ ├── custom_layer.md │ ├── customop.md │ ├── data_augmentation.md │ ├── datasets.md │ ├── gluon.md │ ├── gotchas_numpy_in_mxnet.md │ ├── hybrid.md │ ├── index.md │ ├── learning_rate_finder.md │ ├── learning_rate_schedules.md │ ├── learning_rate_schedules_advanced.md │ ├── logistic_regression_explained.md │ ├── mnist.md │ ├── naming.md │ ├── ndarray.md │ ├── pretrained_models.md │ └── save_load_params.md │ ├── index.md │ ├── nlp │ ├── cnn.md │ └── index.md │ ├── onnx │ ├── export_mxnet_to_onnx.md │ ├── fine_tuning_gluon.md │ ├── index.md │ ├── inference_on_onnx_model.md │ └── super_resolution.md │ ├── python │ ├── data_augmentation.md │ ├── data_augmentation_with_masks.md │ ├── index.md │ ├── kvstore.md │ ├── linear-regression.md │ ├── matrix_factorization.md │ ├── mnist.md │ ├── predict_image.md │ ├── profiler.md │ └── types_of_data_augmentation.md │ ├── r │ ├── CallbackFunction.md │ ├── CustomIterator.md │ ├── CustomLossFunction.md │ ├── MultidimLstm.md │ ├── charRnnModel.md │ ├── classifyRealImageWithPretrainedModel.md │ ├── fiveMinutesNeuralNetwork.md │ ├── index.md │ ├── mnistCompetition.md │ ├── ndarray.md │ └── symbol.md │ ├── scala │ ├── char_lstm.md │ ├── index.md │ ├── mnist.md │ └── mxnet_scala_on_intellij.md │ ├── sparse │ ├── csr.md │ ├── index.md │ ├── row_sparse.md │ └── train.md │ ├── speech_recognition │ ├── ctc.md │ └── index.md │ ├── tensorrt │ ├── index.md │ ├── inference_with_trt.md │ ├── wavenet_optimized.png │ ├── wavenet_optimized.svg │ ├── wavenet_unoptimized.png │ └── wavenet_unoptimized.svg │ ├── unsupervised_learning │ ├── gan.md │ └── index.md │ └── vision │ ├── cnn_visualization.md │ ├── index.md │ └── large_scale_classification.md ├── dynamic-training-cft.json ├── example ├── MXNetTutorialTemplate.ipynb ├── README.md ├── adversary │ ├── README.md │ └── adversary_generation.ipynb ├── autoencoder │ ├── README.md │ ├── autoencoder.py │ ├── data.py │ ├── mnist_sae.py │ ├── model.py │ └── solver.py ├── bayesian-methods │ ├── README.md │ ├── algos.py │ ├── bdk.ipynb │ ├── bdk_demo.py │ ├── data_loader.py │ ├── sgld.ipynb │ └── utils.py ├── bi-lstm-sort │ ├── README.md │ ├── gen_data.py │ ├── infer_sort.py │ ├── lstm.py │ ├── lstm_sort.py │ ├── rnn_model.py │ └── sort_io.py ├── caffe │ ├── README.md │ ├── caffe_net.py │ ├── data.py │ └── train_model.py ├── capsnet │ ├── README.md │ ├── capsulelayers.py │ ├── capsulenet.py │ └── result.PNG ├── captcha │ ├── README.md │ ├── captcha_example.png │ └── mxnet_captcha.R ├── cnn_chinese_text_classification │ ├── README.md │ ├── data_helpers.py │ └── text_cnn.py ├── cnn_text_classification │ ├── .gitignore │ ├── README.md │ ├── data_helpers.py │ └── text_cnn.py ├── cnn_visualization │ ├── README.md │ ├── gradcam.py │ ├── gradcam_demo.py │ └── vgg.py ├── ctc │ ├── README.md │ ├── captcha_generator.py │ ├── ctc_metrics.py │ ├── hyperparams.py │ ├── lstm.py │ ├── lstm_ocr_infer.py │ ├── lstm_ocr_train.py │ ├── multiproc_data.py │ ├── ocr_iter.py │ ├── ocr_predict.py │ └── sample.jpg ├── deep-embedded-clustering │ ├── README.md │ ├── autoencoder.py │ ├── data.py │ ├── dec.py │ ├── model.py │ └── solver.py ├── distributed_training │ ├── README.md │ └── cifar10_dist.py ├── dsd │ ├── README.md │ ├── mlp.py │ └── sparse_sgd.py ├── dynamic-training │ ├── prepare-data.py │ ├── run.sh │ └── train_resnet.py ├── fcn-xs │ ├── README.md │ ├── data.py │ ├── fcn_xs.py │ ├── image_segmentaion.py │ ├── init_fcnxs.py │ ├── run_fcnxs.sh │ ├── solver.py │ └── symbol_fcnxs.py ├── gan │ └── CGAN_mnist_R │ │ ├── CGAN_train.R │ │ └── iterators.R ├── gluon │ ├── actor_critic.py │ ├── data.py │ ├── dcgan.py │ ├── embedding_learning │ │ ├── README.md │ │ ├── data.py │ │ ├── get_cub200_data.sh │ │ ├── model.py │ │ └── train.py │ ├── image_classification.py │ ├── kaggle_k_fold_cross_validation.py │ ├── learning_rate_manipulation.py │ ├── lstm_crf.py │ ├── mnist.py │ ├── sn_gan │ │ ├── README.md │ │ ├── data.py │ │ ├── model.py │ │ ├── sn_gan_output.png │ │ ├── train.py │ │ └── utils.py │ ├── style_transfer │ │ ├── README.md │ │ ├── data.py │ │ ├── dataset │ │ │ └── download_dataset.py │ │ ├── download_images.py │ │ ├── main.py │ │ ├── models │ │ │ └── download_model.py │ │ ├── net.py │ │ ├── option.py │ │ └── utils.py │ ├── super_resolution.py │ ├── tree_lstm │ │ ├── LICENSE │ │ ├── dataset.cPickle │ │ ├── dataset.py │ │ ├── fetch_and_preprocess.sh │ │ ├── main.py │ │ ├── scripts │ │ │ ├── download.py │ │ │ └── preprocess-sick.py │ │ └── tree_lstm.py │ └── word_language_model │ │ ├── README.md │ │ ├── model.py │ │ └── train.py ├── image-classification │ ├── README.md │ ├── __init__.py │ ├── benchmark.py │ ├── benchmark_score.py │ ├── common │ │ ├── __init__.py │ │ ├── data.py │ │ ├── find_mxnet.py │ │ ├── fit.py │ │ ├── modelzoo.py │ │ └── util.py │ ├── fine-tune.py │ ├── predict-cpp │ │ ├── CMakeLists.txt │ │ ├── Makefile │ │ ├── README.md │ │ └── image-classification-predict.cc │ ├── score.py │ ├── symbol_alexnet.R │ ├── symbol_googlenet.R │ ├── symbol_inception-bn-28-small.R │ ├── symbol_inception-bn.R │ ├── symbol_inception-resnet-v1.R │ ├── symbol_inception-resnet-v2.R │ ├── symbol_lenet.R │ ├── symbol_mlp.R │ ├── symbol_resnet-28-small.R │ ├── symbol_resnet-v2.R │ ├── symbol_resnet.R │ ├── symbol_vgg.R │ ├── symbols │ │ ├── README.md │ │ ├── __init__.py │ │ ├── alexnet.py │ │ ├── googlenet.py │ │ ├── inception-bn.py │ │ ├── inception-resnet-v2.py │ │ ├── inception-v3.py │ │ ├── inception-v4.py │ │ ├── lenet.py │ │ ├── mlp.py │ │ ├── mobilenet.py │ │ ├── mobilenetv2.py │ │ ├── resnet-v1.py │ │ ├── resnet.py │ │ ├── resnetv1.py │ │ ├── resnext.py │ │ └── vgg.py │ ├── test_score.py │ ├── train_cifar10.R │ ├── train_cifar10.py │ ├── train_imagenet.R │ ├── train_imagenet.py │ ├── train_mnist.R │ ├── train_mnist.py │ └── train_model.R ├── kaggle-ndsb1 │ ├── README.md │ ├── gen_img_list.py │ ├── predict_dsb.py │ ├── submission_dsb.py │ ├── symbol_dsb.py │ ├── train_dsb.py │ └── training_curves.py ├── kaggle-ndsb2 │ ├── Preprocessing.py │ ├── README.md │ ├── Train.R │ └── Train.py ├── memcost │ ├── Makefile │ ├── README.md │ └── inception_memcost.py ├── model-parallel │ └── matrix_factorization │ │ ├── README.md │ │ ├── get_data.py │ │ ├── model.py │ │ └── train.py ├── module │ ├── README.md │ ├── mnist_mlp.py │ ├── python_loss.py │ └── sequential_module.py ├── multi-task │ ├── README.md │ └── example_multi_task.py ├── multivariate_time_series │ ├── README.md │ ├── docs │ │ └── model_architecture.png │ └── src │ │ ├── lstnet.py │ │ └── metrics.py ├── mxnet_adversarial_vae │ ├── README.md │ ├── convert_data.py │ └── vaegan_mxnet.py ├── named_entity_recognition │ ├── README.md │ └── src │ │ ├── iterators.py │ │ ├── metrics.py │ │ ├── ner.py │ │ └── preprocess.py ├── nce-loss │ ├── README.md │ ├── get_text8.sh │ ├── lstm_net.py │ ├── lstm_word.py │ ├── nce.py │ ├── random_data.py │ ├── text8_data.py │ ├── toy_nce.py │ ├── toy_softmax.py │ ├── wordvec.py │ ├── wordvec_net.py │ └── wordvec_subwords.py ├── neural-style │ ├── .gitignore │ ├── README.md │ ├── checkpoint-viewer.ipynb │ ├── download.sh │ ├── end_to_end │ │ ├── README.md │ │ ├── basic.py │ │ ├── boost_inference.py │ │ ├── boost_train.py │ │ ├── data_processing.py │ │ ├── gen_v3.py │ │ ├── gen_v4.py │ │ └── model_vgg19.py │ ├── find_mxnet.py │ ├── model_vgg19.py │ ├── neuralart.ipynb │ └── nstyle.py ├── notebooks │ └── README.md ├── numpy-ops │ ├── README.md │ ├── custom_softmax.py │ ├── custom_softmax_rtc.py │ ├── custom_sparse_sqr.py │ ├── numpy_softmax.py │ └── weighted_logistic_regression.py ├── onnx │ └── super_resolution.py ├── profiler │ ├── README.md │ ├── profiler_executor.py │ ├── profiler_imageiter.py │ ├── profiler_matmul.py │ └── profiler_ndarray.py ├── python-howto │ ├── README.md │ ├── data_iter.py │ ├── debug_conv.py │ ├── monitor_weights.py │ └── multiple_outputs.py ├── quantization │ ├── README.md │ ├── common │ │ ├── __init__.py │ │ ├── data.py │ │ ├── find_mxnet.py │ │ ├── fit.py │ │ ├── modelzoo.py │ │ └── util.py │ ├── imagenet_gen_qsym.py │ ├── imagenet_gen_qsym_mkldnn.py │ ├── imagenet_inference.py │ ├── launch_inference.sh │ └── launch_quantize.sh ├── rcnn │ ├── LICENSE │ ├── README.md │ ├── demo.py │ ├── symdata │ │ ├── __init__.py │ │ ├── anchor.py │ │ ├── bbox.py │ │ ├── image.py │ │ ├── loader.py │ │ └── vis.py │ ├── symimdb │ │ ├── __init__.py │ │ ├── coco.py │ │ ├── imdb.py │ │ └── pascal_voc.py │ ├── symnet │ │ ├── __init__.py │ │ ├── logger.py │ │ ├── metric.py │ │ ├── model.py │ │ ├── proposal_target.py │ │ ├── symbol_resnet.py │ │ └── symbol_vgg.py │ ├── test.py │ └── train.py ├── recommenders │ ├── .gitignore │ ├── README.md │ ├── crossentropy.py │ ├── demo-MF.R │ ├── demo1-MF.ipynb │ ├── demo1-MF2-fancy.ipynb │ ├── demo2-binary.ipynb │ ├── demo3-dssm.ipynb │ ├── matrix_fact.py │ ├── movielens_data.py │ ├── negativesample.py │ ├── randomproj.py │ ├── recotools.py │ └── symbol_alexnet.py ├── reinforcement-learning │ ├── a3c │ │ ├── README.md │ │ ├── a3c.py │ │ ├── launcher.py │ │ ├── rl_data.py │ │ └── sym.py │ ├── ddpg │ │ ├── README.md │ │ ├── ddpg.py │ │ ├── policies.py │ │ ├── qfuncs.py │ │ ├── replay_mem.py │ │ ├── run.py │ │ ├── strategies.py │ │ └── utils.py │ ├── dqn │ │ ├── README.md │ │ ├── atari_game.py │ │ ├── base.py │ │ ├── dqn_demo.py │ │ ├── dqn_run_test.py │ │ ├── game.py │ │ ├── operators.py │ │ ├── replay_memory.py │ │ ├── setup.sh │ │ └── utils.py │ └── parallel_actor_critic │ │ ├── README.md │ │ ├── config.py │ │ ├── envs.py │ │ ├── model.py │ │ └── train.py ├── restricted-boltzmann-machine │ ├── README.md │ ├── binary_rbm.py │ ├── binary_rbm_gluon.py │ ├── binary_rbm_module.py │ └── samples.png ├── rnn-time-major │ ├── bucket_io.py │ ├── get_sherlockholmes_data.sh │ ├── readme.md │ └── rnn_cell_demo.py ├── rnn │ ├── README.md │ ├── bucket_R │ │ ├── aclImdb_lstm_classification.R │ │ └── data_preprocessing_seq_to_one.R │ ├── bucketing │ │ ├── README.md │ │ ├── cudnn_rnn_bucketing.py │ │ ├── get_sherlockholmes_data.sh │ │ └── lstm_bucketing.py │ ├── large_word_lm │ │ ├── LogUniformGenerator.cc │ │ ├── LogUniformGenerator.h │ │ ├── Makefile │ │ ├── custom_module.py │ │ ├── data.py │ │ ├── get_vocab_file.sh │ │ ├── log_uniform.pyx │ │ ├── model.py │ │ ├── readme.md │ │ ├── run_utils.py │ │ ├── sampler.py │ │ ├── setup.py │ │ └── train.py │ ├── old │ │ ├── README.md │ │ ├── bucket_io.py │ │ ├── char-rnn.ipynb │ │ ├── get_sherlockholmes_data.sh │ │ ├── gru.py │ │ ├── gru_bucketing.py │ │ ├── lstm.py │ │ ├── lstm_bucketing.py │ │ ├── lstm_sherlockholmes.R │ │ ├── rnn.py │ │ ├── rnn_cell_demo.py │ │ └── rnn_model.py │ └── word_lm │ │ ├── README.md │ │ ├── data.py │ │ ├── get_sherlockholmes_data.sh │ │ ├── model.py │ │ ├── module.py │ │ └── train.py ├── sparse │ ├── factorization_machine │ │ ├── README.md │ │ ├── metric.py │ │ ├── model.py │ │ └── train.py │ ├── linear_classification │ │ ├── README.md │ │ ├── data.py │ │ ├── linear_model.py │ │ ├── train.py │ │ └── weighted_softmax_ce.py │ ├── matrix_factorization │ │ ├── README.md │ │ ├── data.py │ │ ├── model.py │ │ └── train.py │ └── wide_deep │ │ ├── README.md │ │ ├── data.py │ │ ├── model.py │ │ └── train.py ├── speech_recognition │ ├── README.md │ ├── arch_deepspeech.py │ ├── config_util.py │ ├── deepspeech.cfg │ ├── default.cfg │ ├── flac_to_wav.sh │ ├── label_util.py │ ├── log_util.py │ ├── main.py │ ├── resources │ │ └── unicodemap_en_baidu.csv │ ├── singleton.py │ ├── stt_bi_graphemes_util.py │ ├── stt_bucketing_module.py │ ├── stt_datagenerator.py │ ├── stt_io_bucketingiter.py │ ├── stt_io_iter.py │ ├── stt_layer_batchnorm.py │ ├── stt_layer_conv.py │ ├── stt_layer_fc.py │ ├── stt_layer_gru.py │ ├── stt_layer_lstm.py │ ├── stt_layer_slice.py │ ├── stt_layer_warpctc.py │ ├── stt_metric.py │ ├── stt_utils.py │ └── train.py ├── ssd │ ├── README.md │ ├── __init__.py │ ├── benchmark_score.py │ ├── config │ │ ├── __init__.py │ │ ├── config.py │ │ └── utils.py │ ├── dataset │ │ ├── __init__.py │ │ ├── concat_db.py │ │ ├── cv2Iterator.py │ │ ├── imdb.py │ │ ├── iterator.py │ │ ├── mscoco.py │ │ ├── names │ │ │ ├── mscoco.names │ │ │ └── pascal_voc.names │ │ ├── pascal_voc.py │ │ ├── pycocotools │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ └── coco.py │ │ ├── testdb.py │ │ └── yolo_format.py │ ├── demo.py │ ├── deploy.py │ ├── detect │ │ ├── __init__.py │ │ └── detector.py │ ├── evaluate.py │ ├── evaluate │ │ ├── __init__.py │ │ ├── eval_metric.py │ │ ├── eval_voc.py │ │ └── evaluate_net.py │ ├── init.sh │ ├── symbol │ │ ├── README.md │ │ ├── __init__.py │ │ ├── common.py │ │ ├── inceptionv3.py │ │ ├── legacy_vgg16_ssd_300.py │ │ ├── legacy_vgg16_ssd_512.py │ │ ├── resnet.py │ │ ├── symbol_builder.py │ │ ├── symbol_factory.py │ │ └── vgg16_reduced.py │ ├── tools │ │ ├── __init__.py │ │ ├── caffe_converter │ │ │ ├── .gitignore │ │ │ ├── Makefile │ │ │ ├── README.md │ │ │ ├── caffe.proto │ │ │ ├── caffe_parse │ │ │ │ └── parse_from_protobuf.py │ │ │ ├── caffe_parser.py │ │ │ ├── caffe_proto_utils.py │ │ │ ├── compare_layers.py │ │ │ ├── convert_mean.py │ │ │ ├── convert_model.py │ │ │ ├── convert_symbol.py │ │ │ ├── make_win32.bat │ │ │ └── mean_image.py │ │ ├── find_mxnet.py │ │ ├── prepare_coco.sh │ │ ├── prepare_dataset.py │ │ ├── prepare_pascal.sh │ │ ├── rand_sampler.py │ │ └── visualize_net.py │ ├── train.py │ └── train │ │ ├── __init__.py │ │ ├── metric.py │ │ └── train_net.py ├── stochastic-depth │ ├── README.md │ ├── sd_cifar10.py │ ├── sd_mnist.py │ └── sd_module.py ├── svm_mnist │ ├── README.md │ └── svm_mnist.py ├── svrg_module │ ├── README.md │ ├── api_usage_example │ │ ├── example_api_train.py │ │ └── example_inference.py │ ├── benchmarks │ │ └── svrg_benchmark.ipynb │ └── linear_regression │ │ ├── common.py │ │ ├── data_reader.py │ │ └── train.py ├── utils │ ├── __init__.py │ └── get_data.py └── vae │ ├── README.md │ ├── VAE.py │ └── VAE_example.ipynb ├── include └── mxnet │ ├── base.h │ ├── c_api.h │ ├── c_api_test.h │ ├── c_predict_api.h │ ├── engine.h │ ├── executor.h │ ├── graph_attr_types.h │ ├── imperative.h │ ├── io.h │ ├── kvstore.h │ ├── ndarray.h │ ├── op_attr_types.h │ ├── operator.h │ ├── operator_util.h │ ├── random_generator.h │ ├── resource.h │ ├── rtc.h │ ├── storage.h │ └── tensor_blob.h ├── julia ├── .gitignore ├── .travis.yml ├── LICENSE.md ├── NEWS.md ├── README-DEV.md ├── README.md ├── REQUIRE ├── appveyor.yml ├── docs │ ├── Makefile │ ├── make.jl │ ├── mkdocs.yml │ └── src │ │ ├── api.md │ │ ├── api │ │ ├── callback.md │ │ ├── context.md │ │ ├── executor.md │ │ ├── initializer.md │ │ ├── io.md │ │ ├── kvstore.md │ │ ├── metric.md │ │ ├── model.md │ │ ├── ndarray.md │ │ ├── nn-factory.md │ │ ├── optimizer.md │ │ ├── symbolic-node.md │ │ └── visualize.md │ │ ├── index.md │ │ ├── tutorial │ │ ├── char-lstm.md │ │ ├── images │ │ │ ├── LSTM3-chain.png │ │ │ └── char-lstm-vis.svg │ │ └── mnist.md │ │ └── user-guide │ │ ├── faq.md │ │ ├── install.md │ │ └── overview.md ├── examples │ ├── char-lstm │ │ ├── .gitignore │ │ ├── README.md │ │ ├── config.jl │ │ ├── lstm.jl │ │ ├── sampler.jl │ │ ├── seq-data.jl │ │ ├── train.jl │ │ └── visualize.jl │ ├── cifar10 │ │ └── cifar10.jl │ ├── imagenet │ │ └── ijulia-pretrained-predict │ │ │ ├── Prediction with Pre-trained Model.ipynb │ │ │ ├── cat.png │ │ │ └── imagehelper.py │ ├── mnist │ │ ├── lenet-stn.jl │ │ ├── lenet.jl │ │ ├── mlp-test.jl │ │ ├── mlp.jl │ │ └── mnist-data.jl │ ├── nondefault-example.jl │ └── regression-example.jl ├── models │ └── Inception │ │ ├── .gitignore │ │ └── get.sh ├── plugins │ ├── README.md │ └── io │ │ └── svmlight.jl ├── src │ ├── MXNet.jl │ ├── autograd.jl │ ├── base.jl │ ├── broadcast.jl │ ├── callback.jl │ ├── context.jl │ ├── deprecated.jl │ ├── executor.jl │ ├── initializer.jl │ ├── io.jl │ ├── kvstore.jl │ ├── metric.jl │ ├── model.jl │ ├── name.jl │ ├── ndarray.jl │ ├── nn-factory.jl │ ├── optimizer.jl │ ├── optimizers │ │ ├── adadelta.jl │ │ ├── adagrad.jl │ │ ├── adam.jl │ │ ├── adamax.jl │ │ ├── nadam.jl │ │ ├── rmsprop.jl │ │ └── sgd.jl │ ├── random.jl │ ├── symbolic-node.jl │ ├── util.jl │ └── visualize.jl └── test │ ├── common.jl │ ├── runtests.jl │ ├── travis │ ├── run_coverage.sh │ ├── run_test.sh │ └── setup_env.sh │ └── unittest │ ├── autograd.jl │ ├── bind.jl │ ├── initializer.jl │ ├── io.jl │ ├── kvstore.jl │ ├── metric.jl │ ├── model.jl │ ├── name.jl │ ├── ndarray.jl │ ├── operator.jl │ ├── optimizer.jl │ ├── random.jl │ ├── symbolic-node.jl │ ├── util.jl │ └── visualize.jl ├── make ├── crosscompile.jetson.mk ├── osx.mk └── readthedocs.mk ├── matlab ├── +mxnet │ ├── model.m │ └── private │ │ ├── callmxnet.m │ │ └── parse_json.m ├── README.md ├── demo.m ├── get_inception_model.sh └── tests │ ├── prepare_data.m │ └── test_prediction.m ├── mkldnn.mk ├── mxnet_threads ├── perl-package ├── .gitignore ├── AI-MXNet-Gluon-Contrib │ ├── Changes │ ├── MANIFEST │ ├── META.json │ ├── META.yml │ ├── Makefile.PL │ ├── README │ ├── lib │ │ └── AI │ │ │ └── MXNet │ │ │ └── Gluon │ │ │ ├── Contrib.pm │ │ │ └── Contrib │ │ │ └── NN │ │ │ └── BasicLayers.pm │ └── t │ │ └── AI-MXNet-Gluon-Contrib.t ├── AI-MXNet-Gluon-ModelZoo │ ├── Changes │ ├── MANIFEST │ ├── META.json │ ├── META.yml │ ├── Makefile.PL │ ├── README │ ├── examples │ │ └── image_classification.pl │ ├── lib │ │ └── AI │ │ │ └── MXNet │ │ │ └── Gluon │ │ │ ├── ModelZoo.pm │ │ │ └── ModelZoo │ │ │ ├── ModelStore.pm │ │ │ ├── Vision.pm │ │ │ └── Vision │ │ │ ├── AlexNet.pm │ │ │ ├── DenseNet.pm │ │ │ ├── Inception.pm │ │ │ ├── MobileNet.pm │ │ │ ├── ResNet.pm │ │ │ ├── SqueezeNet.pm │ │ │ └── VGG.pm │ └── t │ │ ├── AI-MXNet-Gluon-ModelZoo.t │ │ └── test_gluon_model_zoo.t ├── AI-MXNet │ ├── Changes │ ├── MANIFEST │ ├── META.json │ ├── META.yml │ ├── Makefile.PL │ ├── README │ ├── examples │ │ ├── calculator.pl │ │ ├── char_lstm.pl │ │ ├── cudnn_lstm_bucketing.pl │ │ ├── get_sherlockholmes_data.sh │ │ ├── gluon │ │ │ ├── dcgan.pl │ │ │ ├── mnist.pl │ │ │ └── style_transfer │ │ │ │ ├── README.md │ │ │ │ ├── get_data.sh │ │ │ │ ├── net.pl │ │ │ │ ├── style_transfer.pl │ │ │ │ └── utils.pl │ │ ├── lstm_bucketing.pl │ │ ├── mnist.pl │ │ ├── plot_network.pl │ │ └── sparse │ │ │ ├── matrix_factorization │ │ │ ├── README.md │ │ │ ├── get_data.sh │ │ │ └── train.pl │ │ │ └── wide_deep │ │ │ ├── README.md │ │ │ ├── get_data.sh │ │ │ └── train.pl │ ├── lib │ │ └── AI │ │ │ ├── MXNet.pm │ │ │ └── MXNet │ │ │ ├── AutoGrad.pm │ │ │ ├── AutoLoad.pm │ │ │ ├── Base.pm │ │ │ ├── CachedOp.pm │ │ │ ├── Callback.pm │ │ │ ├── Context.pm │ │ │ ├── Contrib.pm │ │ │ ├── Contrib │ │ │ ├── NDArray.pm │ │ │ └── Symbol.pm │ │ │ ├── CudaModule.pm │ │ │ ├── Engine.pm │ │ │ ├── Executor.pm │ │ │ ├── Executor │ │ │ └── Group.pm │ │ │ ├── Function │ │ │ └── Parameters.pm │ │ │ ├── Gluon.pm │ │ │ ├── Gluon │ │ │ ├── Block.pm │ │ │ ├── Data.pm │ │ │ ├── Data │ │ │ │ ├── Loader.pm │ │ │ │ ├── Sampler.pm │ │ │ │ ├── Set.pm │ │ │ │ └── Vision.pm │ │ │ ├── Loss.pm │ │ │ ├── Mouse.pm │ │ │ ├── NN.pm │ │ │ ├── NN │ │ │ │ ├── Activation.pm │ │ │ │ ├── BasicLayers.pm │ │ │ │ └── ConvLayers.pm │ │ │ ├── Parameter.pm │ │ │ ├── RNN.pm │ │ │ ├── RNN │ │ │ │ ├── Cell.pm │ │ │ │ └── Layer.pm │ │ │ ├── Trainer.pm │ │ │ └── Utils.pm │ │ │ ├── IO.pm │ │ │ ├── Image.pm │ │ │ ├── Image │ │ │ ├── NDArray.pm │ │ │ └── Symbol.pm │ │ │ ├── Initializer.pm │ │ │ ├── KVStore.pm │ │ │ ├── KVStoreServer.pm │ │ │ ├── LRScheduler.pm │ │ │ ├── LinAlg.pm │ │ │ ├── LinAlg │ │ │ ├── NDArray.pm │ │ │ └── Symbol.pm │ │ │ ├── Logging.pm │ │ │ ├── Metric.pm │ │ │ ├── Module.pm │ │ │ ├── Module │ │ │ ├── Base.pm │ │ │ └── Bucketing.pm │ │ │ ├── Monitor.pm │ │ │ ├── NDArray.pm │ │ │ ├── NDArray │ │ │ ├── Base.pm │ │ │ ├── Doc.pm │ │ │ ├── Slice.pm │ │ │ └── Sparse.pm │ │ │ ├── Optimizer.pm │ │ │ ├── Profiler.pm │ │ │ ├── RNN.pm │ │ │ ├── RNN │ │ │ ├── Cell.pm │ │ │ └── IO.pm │ │ │ ├── Random.pm │ │ │ ├── RecordIO.pm │ │ │ ├── Symbol.pm │ │ │ ├── Symbol │ │ │ ├── AttrScope.pm │ │ │ ├── Base.pm │ │ │ ├── Doc.pm │ │ │ ├── NameManager.pm │ │ │ ├── Random.pm │ │ │ └── Sparse.pm │ │ │ ├── TestUtils.pm │ │ │ ├── Types.pm │ │ │ ├── Util │ │ │ └── Printable.pm │ │ │ └── Visualization.pm │ └── t │ │ ├── AI-MXNet.t │ │ ├── test_attr.t │ │ ├── test_autograd.t │ │ ├── test_base.t │ │ ├── test_conv.t │ │ ├── test_cuda_module.t │ │ ├── test_engine.t │ │ ├── test_executor.t │ │ ├── test_gluon.t │ │ ├── test_gluon_data.t │ │ ├── test_gluon_rnn.t │ │ ├── test_gluon_trainer.t │ │ ├── test_infer_shape.t │ │ ├── test_init.t │ │ ├── test_io.t │ │ ├── test_io_image.t │ │ ├── test_kvstore.t │ │ ├── test_loss.t │ │ ├── test_metric.t │ │ ├── test_model_parallel.t │ │ ├── test_module.t │ │ ├── test_multi_device_exec.t │ │ ├── test_ndarray.t │ │ ├── test_optimizers.t │ │ ├── test_random.t │ │ ├── test_recordio.t │ │ ├── test_rnn.t │ │ ├── test_sparse_ndarray.t │ │ ├── test_symbol.t │ │ └── test_viz.t ├── AI-MXNetCAPI │ ├── Changes │ ├── MANIFEST │ ├── META.json │ ├── META.yml │ ├── Makefile.PL │ ├── README │ ├── lib │ │ └── AI │ │ │ └── MXNetCAPI.pm │ ├── mxnet.i │ ├── mxnet_typemaps.i │ └── t │ │ └── AI-MXNetCAPI.t ├── AI-NNVMCAPI │ ├── Changes │ ├── MANIFEST │ ├── META.json │ ├── META.yml │ ├── Makefile.PL │ ├── README │ ├── lib │ │ └── AI │ │ │ └── NNVMCAPI.pm │ ├── nnvm.i │ ├── nnvm_typemaps.i │ └── t │ │ └── AI-NNVMCAPI.t ├── README.md └── test.sh ├── plot.gv ├── plot.gv.pdf ├── plugin ├── caffe │ ├── README.md │ ├── caffe.mk │ ├── caffe_blob.cc │ ├── caffe_blob.h │ ├── caffe_common.cc │ ├── caffe_common.h │ ├── caffe_data_iter.cc │ ├── caffe_fieldentry.h │ ├── caffe_loss-inl.h │ ├── caffe_loss.cc │ ├── caffe_loss.cu │ ├── caffe_op-inl.h │ ├── caffe_op.cc │ ├── caffe_op.cu │ ├── caffe_stream.cc │ └── caffe_stream.h ├── opencv │ ├── __init__.py │ ├── cv_api.cc │ ├── cv_api.h │ ├── opencv.mk │ └── opencv.py ├── sframe │ ├── iter_sframe.cc │ └── plugin.mk ├── torch │ ├── torch.mk │ ├── torch_base.cc │ ├── torch_base.h │ ├── torch_criterion-inl.h │ ├── torch_criterion.cc │ ├── torch_criterion.cu │ ├── torch_function.cc │ ├── torch_function.h │ ├── torch_module-inl.h │ ├── torch_module.cc │ └── torch_module.cu └── warpctc │ ├── warpctc-inl.h │ ├── warpctc.cc │ ├── warpctc.cu │ └── warpctc.mk ├── prepare-data.py ├── python ├── .gitignore ├── README.md ├── minpy │ └── README.md ├── mxnet │ ├── __init__.py │ ├── _ctypes │ │ ├── __init__.py │ │ ├── ndarray.py │ │ └── symbol.py │ ├── _cy2 │ │ ├── README │ │ └── __init__.py │ ├── _cy3 │ │ ├── README │ │ └── __init__.py │ ├── attribute.py │ ├── autograd.py │ ├── base.py │ ├── callback.py │ ├── context.py │ ├── contrib │ │ ├── __init__.py │ │ ├── autograd.py │ │ ├── io.py │ │ ├── ndarray.py │ │ ├── onnx │ │ │ ├── __init__.py │ │ │ ├── mx2onnx │ │ │ │ ├── LICENSE │ │ │ │ ├── __init__.py │ │ │ │ ├── _export_helper.py │ │ │ │ ├── _op_translations.py │ │ │ │ ├── export_model.py │ │ │ │ └── export_onnx.py │ │ │ └── onnx2mx │ │ │ │ ├── __init__.py │ │ │ │ ├── _import_helper.py │ │ │ │ ├── _op_translations.py │ │ │ │ ├── _translation_utils.py │ │ │ │ ├── import_model.py │ │ │ │ ├── import_onnx.py │ │ │ │ └── import_to_gluon.py │ │ ├── quantization.py │ │ ├── svrg_optimization │ │ │ ├── __init__.py │ │ │ ├── svrg_module.py │ │ │ └── svrg_optimizer.py │ │ ├── symbol.py │ │ ├── tensorboard.py │ │ ├── tensorrt.py │ │ └── text │ │ │ ├── __init__.py │ │ │ ├── _constants.py │ │ │ ├── embedding.py │ │ │ ├── utils.py │ │ │ └── vocab.py │ ├── cython │ │ ├── base.pyi │ │ ├── ndarray.pyx │ │ └── symbol.pyx │ ├── engine.py │ ├── executor.py │ ├── executor_manager.py │ ├── gluon │ │ ├── .gitignore │ │ ├── __init__.py │ │ ├── block.py │ │ ├── contrib │ │ │ ├── __init__.py │ │ │ ├── data │ │ │ │ ├── __init__.py │ │ │ │ ├── _constants.py │ │ │ │ ├── sampler.py │ │ │ │ └── text.py │ │ │ ├── nn │ │ │ │ ├── __init__.py │ │ │ │ └── basic_layers.py │ │ │ └── rnn │ │ │ │ ├── __init__.py │ │ │ │ ├── conv_rnn_cell.py │ │ │ │ └── rnn_cell.py │ │ ├── data │ │ │ ├── __init__.py │ │ │ ├── dataloader.py │ │ │ ├── dataset.py │ │ │ ├── sampler.py │ │ │ └── vision │ │ │ │ ├── __init__.py │ │ │ │ ├── datasets.py │ │ │ │ └── transforms.py │ │ ├── loss.py │ │ ├── model_zoo │ │ │ ├── __init__.py │ │ │ ├── model_store.py │ │ │ └── vision │ │ │ │ ├── __init__.py │ │ │ │ ├── alexnet.py │ │ │ │ ├── densenet.py │ │ │ │ ├── inception.py │ │ │ │ ├── mobilenet.py │ │ │ │ ├── resnet.py │ │ │ │ ├── squeezenet.py │ │ │ │ └── vgg.py │ │ ├── nn │ │ │ ├── __init__.py │ │ │ ├── activations.py │ │ │ ├── basic_layers.py │ │ │ └── conv_layers.py │ │ ├── parameter.py │ │ ├── rnn │ │ │ ├── __init__.py │ │ │ ├── rnn_cell.py │ │ │ └── rnn_layer.py │ │ ├── trainer.py │ │ └── utils.py │ ├── image │ │ ├── __init__.py │ │ ├── detection.py │ │ └── image.py │ ├── initializer.py │ ├── io │ │ ├── __init__.py │ │ ├── io.py │ │ └── utils.py │ ├── kvstore.py │ ├── kvstore_server.py │ ├── libinfo.py │ ├── log.py │ ├── lr_scheduler.py │ ├── metric.py │ ├── misc.py │ ├── model.py │ ├── module │ │ ├── __init__.py │ │ ├── base_data_iterator.py │ │ ├── base_module.py │ │ ├── bucketing_module.py │ │ ├── executor_group.py │ │ ├── module.py │ │ ├── python_module.py │ │ └── sequential_module.py │ ├── monitor.py │ ├── name.py │ ├── ndarray │ │ ├── __init__.py │ │ ├── _internal.py │ │ ├── contrib.py │ │ ├── image.py │ │ ├── linalg.py │ │ ├── ndarray.py │ │ ├── op.py │ │ ├── random.py │ │ ├── register.py │ │ ├── sparse.py │ │ └── utils.py │ ├── ndarray_doc.py │ ├── notebook │ │ ├── __init__.py │ │ └── callback.py │ ├── operator.py │ ├── optimizer │ │ ├── __init__.py │ │ ├── contrib.py │ │ └── optimizer.py │ ├── profiler.py │ ├── random.py │ ├── recordio.py │ ├── registry.py │ ├── rnn │ │ ├── __init__.py │ │ ├── io.py │ │ ├── rnn.py │ │ └── rnn_cell.py │ ├── rtc.py │ ├── symbol │ │ ├── __init__.py │ │ ├── _internal.py │ │ ├── contrib.py │ │ ├── image.py │ │ ├── linalg.py │ │ ├── op.py │ │ ├── random.py │ │ ├── register.py │ │ ├── sparse.py │ │ └── symbol.py │ ├── symbol_doc.py │ ├── test_utils.py │ ├── torch.py │ ├── util.py │ └── visualization.py └── setup.py ├── readthedocs.yml ├── scala-package ├── LICENSE ├── README.md ├── assembly │ ├── linux-x86_64-cpu │ │ ├── pom.xml │ │ └── src │ │ │ └── main │ │ │ └── assembly │ │ │ └── assembly.xml │ ├── linux-x86_64-gpu │ │ ├── pom.xml │ │ └── src │ │ │ └── main │ │ │ └── assembly │ │ │ └── assembly.xml │ ├── osx-x86_64-cpu │ │ ├── main │ │ │ └── assembly │ │ │ │ └── assembly.xml │ │ ├── pom.xml │ │ └── src │ │ │ └── main │ │ │ └── assembly │ │ │ └── assembly.xml │ ├── pom.xml │ └── src │ │ ├── javadoc.xml │ │ └── source.xml ├── core │ ├── pom.xml │ ├── scripts │ │ ├── get_cifar_data.sh │ │ └── get_mnist_data.sh │ └── src │ │ ├── main │ │ └── scala │ │ │ └── org │ │ │ └── apache │ │ │ └── mxnet │ │ │ ├── AttrScope.scala │ │ │ ├── Base.scala │ │ │ ├── Callback.scala │ │ │ ├── Context.scala │ │ │ ├── DType.scala │ │ │ ├── EvalMetric.scala │ │ │ ├── Executor.scala │ │ │ ├── ExecutorManager.scala │ │ │ ├── FeedForward.scala │ │ │ ├── IO.scala │ │ │ ├── Initializer.scala │ │ │ ├── KVStore.scala │ │ │ ├── KVStoreServer.scala │ │ │ ├── LRScheduler.scala │ │ │ ├── Layout.scala │ │ │ ├── LibInfo.scala │ │ │ ├── Model.scala │ │ │ ├── Monitor.scala │ │ │ ├── NDArray.scala │ │ │ ├── NDArrayAPI.scala │ │ │ ├── NDArrayCollector.scala │ │ │ ├── NameManager.scala │ │ │ ├── Operator.scala │ │ │ ├── Optimizer.scala │ │ │ ├── Profiler.scala │ │ │ ├── Random.scala │ │ │ ├── RecordIO.scala │ │ │ ├── Rtc.scala │ │ │ ├── Serializer.scala │ │ │ ├── Shape.scala │ │ │ ├── Symbol.scala │ │ │ ├── SymbolAPI.scala │ │ │ ├── Visualization.scala │ │ │ ├── annotation │ │ │ └── Experimental.scala │ │ │ ├── contrib │ │ │ ├── NDArray.scala │ │ │ └── Symbol.scala │ │ │ ├── io │ │ │ ├── MXDataIter.scala │ │ │ ├── NDArrayIter.scala │ │ │ ├── PrefetchingIter.scala │ │ │ └── ResizeIter.scala │ │ │ ├── javaapi │ │ │ ├── Context.scala │ │ │ ├── DType.scala │ │ │ ├── IO.scala │ │ │ └── Shape.scala │ │ │ ├── module │ │ │ ├── BaseModule.scala │ │ │ ├── BucketingModule.scala │ │ │ ├── DataParallelExecutorGroup.scala │ │ │ ├── Module.scala │ │ │ └── SequentialModule.scala │ │ │ ├── optimizer │ │ │ ├── AdaDelta.scala │ │ │ ├── AdaGrad.scala │ │ │ ├── Adam.scala │ │ │ ├── DCASGD.scala │ │ │ ├── NAG.scala │ │ │ ├── RMSProp.scala │ │ │ ├── SGD.scala │ │ │ └── SGLD.scala │ │ │ └── util │ │ │ ├── NativeLibraryLoader.scala │ │ │ ├── SerializerUtils.scala │ │ │ └── WarnIfNotDisposed.scala │ │ └── test │ │ ├── java │ │ └── org │ │ │ └── apache │ │ │ └── mxnet │ │ │ └── javaapi │ │ │ ├── ContextTest.java │ │ │ ├── DTypeTest.java │ │ │ ├── IOTest.java │ │ │ └── ShapeTest.java │ │ ├── resources │ │ └── log4j.properties │ │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnet │ │ ├── AttrScopeSuite.scala │ │ ├── CheckUtils.scala │ │ ├── ExecutorSuite.scala │ │ ├── IOSuite.scala │ │ ├── KVStoreSuite.scala │ │ ├── ModelParallelSuite.scala │ │ ├── ModuleSuite.scala │ │ ├── NDArrayCollectorSuite.scala │ │ ├── NDArraySuite.scala │ │ ├── OperatorSuite.scala │ │ ├── RandomSuite.scala │ │ ├── RecordIOSuite.scala │ │ ├── SerializerSuite.scala │ │ ├── ShapeSuite.scala │ │ ├── SymbolSuite.scala │ │ ├── TestUtil.scala │ │ ├── gpu │ │ └── RtcSuite.scala │ │ ├── train │ │ └── ConvSuite.scala │ │ └── util │ │ ├── SerializerUtilsSuite.scala │ │ └── WarnIfNotDiposedSuite.scala ├── dev │ ├── change-artifact-id.sh │ ├── change-proj-version.sh │ ├── change-scala-version.sh │ └── compile-mxnet-backend.sh ├── examples │ ├── pom.xml │ ├── scripts │ │ ├── benchmark │ │ │ ├── run_image_inference_bm.sh │ │ │ └── run_text_charrnn_bm.sh │ │ ├── customop │ │ │ ├── run_customop.sh │ │ │ └── run_customopwithrtc.sh │ │ ├── infer │ │ │ ├── imageclassifier │ │ │ │ ├── get_resnet_18_data.sh │ │ │ │ ├── get_resnet_data.sh │ │ │ │ └── run_classifier_example.sh │ │ │ └── objectdetector │ │ │ │ ├── get_ssd_data.sh │ │ │ │ └── run_ssd_example.sh │ │ ├── module │ │ │ ├── mnist_mlp.sh │ │ │ └── run_sequential_module.sh │ │ ├── neuralstyle_end2end │ │ │ ├── run_test_end2end.sh │ │ │ └── run_train_end2end.sh │ │ ├── profiler │ │ │ ├── run_profiler_matmul.sh │ │ │ └── run_profiler_ndarray.sh │ │ ├── rnn │ │ │ ├── run_lstm_bucketing.sh │ │ │ ├── run_test_charrnn.sh │ │ │ └── run_train_charrnn.sh │ │ ├── run_cnntextclassification.sh │ │ ├── run_gan_mnist.sh │ │ ├── run_multitask.sh │ │ ├── run_neuralstyle.sh │ │ └── run_visualization.sh │ └── src │ │ ├── main │ │ ├── resources │ │ │ └── log4j.properties │ │ └── scala │ │ │ └── org │ │ │ └── apache │ │ │ └── mxnetexamples │ │ │ ├── InferBase.scala │ │ │ ├── Util.scala │ │ │ ├── benchmark │ │ │ ├── README.md │ │ │ └── ScalaInferenceBenchmark.scala │ │ │ ├── cnntextclassification │ │ │ ├── CNNTextClassification.scala │ │ │ ├── DataHelper.scala │ │ │ └── README.md │ │ │ ├── customop │ │ │ ├── Data.scala │ │ │ ├── ExampleCustomOp.scala │ │ │ ├── ExampleCustomOpWithRtc.scala │ │ │ └── README.md │ │ │ ├── gan │ │ │ ├── GanMnist.scala │ │ │ ├── Module.scala │ │ │ ├── README.md │ │ │ └── Viz.scala │ │ │ ├── imclassification │ │ │ ├── README.md │ │ │ ├── TrainModel.scala │ │ │ ├── datasets │ │ │ │ ├── MnistIter.scala │ │ │ │ └── SyntheticDataIter.scala │ │ │ ├── models │ │ │ │ ├── Lenet.scala │ │ │ │ ├── MultiLayerPerceptron.scala │ │ │ │ └── Resnet.scala │ │ │ └── util │ │ │ │ └── Trainer.scala │ │ │ ├── infer │ │ │ ├── imageclassifier │ │ │ │ ├── ImageClassifierExample.scala │ │ │ │ └── README.md │ │ │ └── objectdetector │ │ │ │ ├── README.md │ │ │ │ └── SSDClassifierExample.scala │ │ │ ├── module │ │ │ ├── MnistMlp.scala │ │ │ └── SequentialModuleEx.scala │ │ │ ├── multitask │ │ │ ├── Data.scala │ │ │ └── ExampleMultiTask.scala │ │ │ ├── neuralstyle │ │ │ ├── ModelVgg19.scala │ │ │ ├── NeuralStyle.scala │ │ │ ├── README.md │ │ │ └── end2end │ │ │ │ ├── Basic.scala │ │ │ │ ├── BoostInference.scala │ │ │ │ ├── BoostTrain.scala │ │ │ │ ├── DataProcessing.scala │ │ │ │ ├── GenV3.scala │ │ │ │ ├── GenV4.scala │ │ │ │ └── Module.scala │ │ │ ├── profiler │ │ │ ├── ProfilerMatMul.scala │ │ │ └── ProfilerNDArray.scala │ │ │ ├── rnn │ │ │ ├── BucketIo.scala │ │ │ ├── Lstm.scala │ │ │ ├── LstmBucketing.scala │ │ │ ├── README.md │ │ │ ├── RnnModel.scala │ │ │ ├── TestCharRnn.scala │ │ │ ├── TrainCharRnn.scala │ │ │ └── Utils.scala │ │ │ └── visualization │ │ │ ├── AlexNet.scala │ │ │ ├── ExampleVis.scala │ │ │ ├── GoogleNet.scala │ │ │ ├── Inception_BN.scala │ │ │ ├── Inception_V3.scala │ │ │ ├── LeNet.scala │ │ │ ├── ResNet_Small.scala │ │ │ └── VGG.scala │ │ └── test │ │ ├── resources │ │ └── log4j.properties │ │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnetexamples │ │ ├── benchmark │ │ └── ScalaInferenceBenchmarkSuite.scala │ │ ├── cnntextclassification │ │ └── CNNClassifierExampleSuite.scala │ │ ├── customop │ │ └── CustomOpExampleSuite.scala │ │ ├── gan │ │ └── GanExampleSuite.scala │ │ ├── imclassification │ │ └── IMClassificationExampleSuite.scala │ │ ├── infer │ │ ├── imageclassifier │ │ │ └── ImageClassifierExampleSuite.scala │ │ └── objectdetector │ │ │ └── ObjectDetectorExampleSuite.scala │ │ ├── multitask │ │ └── MultiTaskSuite.scala │ │ ├── neuralstyle │ │ └── NeuralStyleSuite.scala │ │ ├── profiler │ │ └── ProfilerSuite.scala │ │ └── rnn │ │ └── ExampleRNNSuite.scala ├── infer │ ├── pom.xml │ └── src │ │ ├── main │ │ └── scala │ │ │ └── org │ │ │ └── apache │ │ │ └── mxnet │ │ │ └── infer │ │ │ ├── Classifier.scala │ │ │ ├── ImageClassifier.scala │ │ │ ├── MXNetHandler.scala │ │ │ ├── ObjectDetector.scala │ │ │ ├── Predictor.scala │ │ │ └── package.scala │ │ └── test │ │ ├── resources │ │ └── log4j.properties │ │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnet │ │ └── infer │ │ ├── ClassifierSuite.scala │ │ ├── ImageClassifierSuite.scala │ │ ├── ObjectDetectorSuite.scala │ │ └── PredictorSuite.scala ├── init-native │ ├── linux-x86_64 │ │ └── pom.xml │ ├── osx-x86_64 │ │ └── pom.xml │ ├── pom.xml │ └── src │ │ └── main │ │ └── native │ │ └── org_apache_mxnet_init_native_c_api.cc ├── init │ ├── pom.xml │ └── src │ │ └── main │ │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnet │ │ └── init │ │ ├── Base.scala │ │ └── LibInfo.scala ├── macros │ ├── pom.xml │ └── src │ │ ├── main │ │ └── scala │ │ │ └── org │ │ │ └── apache │ │ │ └── mxnet │ │ │ ├── APIDocGenerator.scala │ │ │ ├── NDArrayMacro.scala │ │ │ ├── SymbolMacro.scala │ │ │ └── utils │ │ │ ├── CToScalaUtils.scala │ │ │ └── OperatorBuildUtils.scala │ │ └── test │ │ ├── resources │ │ └── log4j.properties │ │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnet │ │ └── MacrosSuite.scala ├── mxnet-demo │ ├── Makefile │ ├── README.md │ ├── bin │ │ ├── demo.sh │ │ └── run_im.sh │ ├── pom.xml │ └── src │ │ └── main │ │ └── scala │ │ └── sample │ │ ├── HelloWorld.scala │ │ └── ImageClassificationExample.scala ├── native │ ├── linux-x86_64-cpu │ │ └── pom.xml │ ├── linux-x86_64-gpu │ │ └── pom.xml │ ├── osx-x86_64-cpu │ │ └── pom.xml │ ├── pom.xml │ └── src │ │ └── main │ │ └── native │ │ ├── jni_helper_func.h │ │ └── org_apache_mxnet_native_c_api.cc ├── pom.xml ├── scalastyle-config.xml └── spark │ ├── README.md │ ├── bin │ └── run-mnist-example.sh │ ├── pom.xml │ └── src │ ├── main │ └── scala │ │ └── org │ │ └── apache │ │ └── mxnet │ │ └── spark │ │ ├── MXNDArray.scala │ │ ├── MXNet.scala │ │ ├── MXNetModel.scala │ │ ├── MXNetParams.scala │ │ ├── ParameterServer.scala │ │ ├── example │ │ └── ClassificationExample.scala │ │ ├── io │ │ ├── LabeledPointIter.scala │ │ ├── LongLivingDataBatch.scala │ │ └── PointIter.scala │ │ ├── transformer │ │ └── MXNet.scala │ │ └── utils │ │ ├── Img2Vector.scala │ │ ├── Network.scala │ │ └── RepIterator.scala │ └── test │ └── scala │ └── org │ └── apache │ └── mxnet │ └── spark │ ├── MXNetGeneralSuite.scala │ └── SharedSparkContext.scala ├── setup-utils ├── install-mxnet-amz-linux.sh ├── install-mxnet-fedora-python.sh ├── install-mxnet-osx-python.sh ├── install-mxnet-ubuntu-python.sh ├── install-mxnet-ubuntu-r.sh ├── install-mxnet-virtualenv.sh └── install-mxnet-windows-python.bat ├── snap.python ├── snapcraft.yaml ├── src ├── c_api │ ├── .clang-tidy │ ├── c_api.cc │ ├── c_api_common.h │ ├── c_api_error.cc │ ├── c_api_executor.cc │ ├── c_api_function.cc │ ├── c_api_ndarray.cc │ ├── c_api_profile.cc │ ├── c_api_symbolic.cc │ ├── c_api_test.cc │ └── c_predict_api.cc ├── common │ ├── cuda_utils.h │ ├── exec_utils.h │ ├── lazy_alloc_array.h │ ├── object_pool.h │ ├── random_generator.cu │ ├── rtc.cc │ ├── serialization.h │ ├── static_array.h │ ├── utils.cc │ ├── utils.cu │ └── utils.h ├── engine │ ├── engine.cc │ ├── engine_impl.h │ ├── naive_engine.cc │ ├── openmp.cc │ ├── openmp.h │ ├── stream_manager.h │ ├── thread_pool.h │ ├── threaded_engine.cc │ ├── threaded_engine.h │ ├── threaded_engine_perdevice.cc │ └── threaded_engine_pooled.cc ├── executor │ ├── attach_op_execs_pass.cc │ ├── attach_op_resource_pass.cc │ ├── exec_pass.h │ ├── graph_executor.cc │ ├── graph_executor.h │ ├── infer_graph_attr_pass.cc │ ├── inplace_addto_detect_pass.cc │ ├── onnx_to_tensorrt.cc │ ├── onnx_to_tensorrt.h │ ├── tensorrt_pass.cc │ ├── trt_graph_executor.cc │ └── trt_graph_executor.h ├── imperative │ ├── cached_op.cc │ ├── cached_op.h │ ├── imperative.cc │ ├── imperative_utils.cc │ └── imperative_utils.h ├── initialize.cc ├── io │ ├── image_aug_default.cc │ ├── image_augmenter.h │ ├── image_det_aug_default.cc │ ├── image_io.cc │ ├── image_iter_common.h │ ├── image_recordio.h │ ├── inst_vector.h │ ├── io.cc │ ├── iter_batchloader.h │ ├── iter_csv.cc │ ├── iter_image_det_recordio.cc │ ├── iter_image_recordio.cc │ ├── iter_image_recordio_2.cc │ ├── iter_libsvm.cc │ ├── iter_mnist.cc │ ├── iter_normalize.h │ ├── iter_prefetcher.h │ ├── iter_sparse.h │ ├── iter_sparse_batchloader.h │ └── iter_sparse_prefetcher.h ├── kvstore │ ├── comm.h │ ├── comm_tree.h │ ├── gpu_topology.h │ ├── gradient_compression-inl.h │ ├── gradient_compression.cc │ ├── gradient_compression.cu │ ├── gradient_compression.h │ ├── kvstore.cc │ ├── kvstore_dist.h │ ├── kvstore_dist_server.h │ ├── kvstore_local.h │ ├── kvstore_nccl.h │ ├── kvstore_utils.cc │ ├── kvstore_utils.cu │ └── kvstore_utils.h ├── ndarray │ ├── ndarray.cc │ ├── ndarray_function-inl.cuh │ ├── ndarray_function-inl.h │ ├── ndarray_function.cc │ ├── ndarray_function.cu │ └── ndarray_function.h ├── nnvm │ ├── graph_editor.cc │ ├── legacy_json_util.cc │ ├── legacy_op_util.cc │ └── tvm_bridge.cc ├── operator │ ├── batch_norm_v1-inl.h │ ├── batch_norm_v1.cc │ ├── batch_norm_v1.cu │ ├── bilinear_sampler-inl.h │ ├── bilinear_sampler.cc │ ├── bilinear_sampler.cu │ ├── c_lapack_api.h │ ├── channel_op_common.h │ ├── contrib │ │ ├── adaptive_avg_pooling-inl.h │ │ ├── adaptive_avg_pooling.cc │ │ ├── adaptive_avg_pooling.cu │ │ ├── bilinear_resize-inl.h │ │ ├── bilinear_resize.cc │ │ ├── bilinear_resize.cu │ │ ├── bounding_box-inl.cuh │ │ ├── bounding_box-inl.h │ │ ├── bounding_box.cc │ │ ├── bounding_box.cu │ │ ├── count_sketch-inl.h │ │ ├── count_sketch.cc │ │ ├── count_sketch.cu │ │ ├── deformable_convolution-inl.h │ │ ├── deformable_convolution.cc │ │ ├── deformable_convolution.cu │ │ ├── deformable_psroi_pooling-inl.h │ │ ├── deformable_psroi_pooling.cc │ │ ├── deformable_psroi_pooling.cu │ │ ├── fft-inl.h │ │ ├── fft.cc │ │ ├── fft.cu │ │ ├── ifft-inl.h │ │ ├── ifft.cc │ │ ├── ifft.cu │ │ ├── krprod.cc │ │ ├── krprod.h │ │ ├── multi_proposal-inl.h │ │ ├── multi_proposal.cc │ │ ├── multi_proposal.cu │ │ ├── multibox_detection-inl.h │ │ ├── multibox_detection.cc │ │ ├── multibox_detection.cu │ │ ├── multibox_prior-inl.h │ │ ├── multibox_prior.cc │ │ ├── multibox_prior.cu │ │ ├── multibox_target-inl.h │ │ ├── multibox_target.cc │ │ ├── multibox_target.cu │ │ ├── nn │ │ │ ├── deformable_im2col.cuh │ │ │ └── deformable_im2col.h │ │ ├── nnvm_to_onnx-inl.h │ │ ├── nnvm_to_onnx.cc │ │ ├── optimizer_op-inl.h │ │ ├── optimizer_op.cc │ │ ├── optimizer_op.cu │ │ ├── proposal-inl.h │ │ ├── proposal.cc │ │ ├── proposal.cu │ │ ├── psroi_pooling-inl.h │ │ ├── psroi_pooling.cc │ │ ├── psroi_pooling.cu │ │ ├── quadratic_op-inl.h │ │ ├── quadratic_op.cc │ │ ├── quadratic_op.cu │ │ ├── roi_align-inl.h │ │ ├── roi_align.cc │ │ ├── roi_align.cu │ │ ├── sync_batch_norm-inl.h │ │ ├── sync_batch_norm.cc │ │ ├── sync_batch_norm.cu │ │ ├── tensorrt-inl.h │ │ ├── tensorrt.cc │ │ ├── tensorrt.cu │ │ ├── transformer-inl.h │ │ ├── transformer.cc │ │ └── transformer.cu │ ├── control_flow.cc │ ├── convolution_v1-inl.h │ ├── convolution_v1.cc │ ├── convolution_v1.cu │ ├── correlation-inl.h │ ├── correlation.cc │ ├── correlation.cu │ ├── crop-inl.h │ ├── crop.cc │ ├── crop.cu │ ├── cross_device_copy.cc │ ├── cudnn_bilinear_sampler-inl.h │ ├── cudnn_lrn-inl.h │ ├── cudnn_rnn-inl.h │ ├── cudnn_spatial_transformer-inl.h │ ├── custom │ │ ├── custom-inl.h │ │ ├── custom.cc │ │ ├── native_op-inl.h │ │ ├── native_op.cc │ │ ├── native_op.cu │ │ ├── ndarray_op-inl.h │ │ └── ndarray_op.cc │ ├── elemwise_op_common.h │ ├── grid_generator-inl.h │ ├── grid_generator.cc │ ├── grid_generator.cu │ ├── identity_attach_KL_sparse_reg-inl.h │ ├── identity_attach_KL_sparse_reg.cc │ ├── identity_attach_KL_sparse_reg.cu │ ├── image │ │ ├── image_random-inl.h │ │ └── image_random.cc │ ├── instance_norm-inl.h │ ├── instance_norm.cc │ ├── instance_norm.cu │ ├── l2_normalization-inl.h │ ├── l2_normalization.cc │ ├── l2_normalization.cu │ ├── leaky_relu-inl.h │ ├── leaky_relu.cc │ ├── leaky_relu.cu │ ├── linalg.h │ ├── linalg_impl.h │ ├── loss_binary_op-inl.h │ ├── loss_binary_op.cc │ ├── loss_binary_op.cu │ ├── make_loss-inl.h │ ├── make_loss.cc │ ├── make_loss.cu │ ├── math_functions-inl.h │ ├── mshadow_op.h │ ├── mxnet_op.h │ ├── nn │ │ ├── activation-inl.h │ │ ├── activation.cc │ │ ├── activation.cu │ │ ├── batch_norm-inl.h │ │ ├── batch_norm.cc │ │ ├── batch_norm.cu │ │ ├── concat-inl.h │ │ ├── concat.cc │ │ ├── concat.cu │ │ ├── convolution-inl.h │ │ ├── convolution.cc │ │ ├── convolution.cu │ │ ├── ctc_loss-inl.h │ │ ├── ctc_loss.cc │ │ ├── ctc_loss.cu │ │ ├── cudnn │ │ │ ├── cudnn_activation-inl.h │ │ │ ├── cudnn_algoreg-inl.h │ │ │ ├── cudnn_algoreg.cc │ │ │ ├── cudnn_batch_norm-inl.h │ │ │ ├── cudnn_batch_norm.cc │ │ │ ├── cudnn_batch_norm.cu │ │ │ ├── cudnn_convolution-inl.h │ │ │ ├── cudnn_deconvolution-inl.h │ │ │ ├── cudnn_pooling-inl.h │ │ │ └── cudnn_softmax_activation-inl.h │ │ ├── deconvolution-inl.h │ │ ├── deconvolution.cc │ │ ├── deconvolution.cu │ │ ├── depthwise_convolution-inl.h │ │ ├── depthwise_convolution_tf.cuh │ │ ├── dropout-inl.h │ │ ├── dropout.cc │ │ ├── dropout.cu │ │ ├── fully_connected-inl.h │ │ ├── fully_connected.cc │ │ ├── fully_connected.cu │ │ ├── im2col.cuh │ │ ├── im2col.h │ │ ├── layer_norm-inl.h │ │ ├── layer_norm.cc │ │ ├── layer_norm.cu │ │ ├── lrn-inl.h │ │ ├── lrn.cc │ │ ├── lrn.cu │ │ ├── mkldnn │ │ │ ├── mkldnn_act.cc │ │ │ ├── mkldnn_base-inl.h │ │ │ ├── mkldnn_base.cc │ │ │ ├── mkldnn_batch_norm-inl.h │ │ │ ├── mkldnn_concat.cc │ │ │ ├── mkldnn_convolution-inl.h │ │ │ ├── mkldnn_convolution.cc │ │ │ ├── mkldnn_copy.cc │ │ │ ├── mkldnn_deconvolution.cc │ │ │ ├── mkldnn_fully_connected.cc │ │ │ ├── mkldnn_lrn-inl.h │ │ │ ├── mkldnn_ops-inl.h │ │ │ ├── mkldnn_pooling-inl.h │ │ │ ├── mkldnn_pooling.cc │ │ │ ├── mkldnn_softmax.cc │ │ │ └── mkldnn_sum.cc │ │ ├── pool.cuh │ │ ├── pool.h │ │ ├── pool_utils.h │ │ ├── pooling-inl.h │ │ ├── pooling.cc │ │ ├── pooling.cu │ │ ├── sequence_mask-inl.h │ │ ├── softmax-inl.h │ │ ├── softmax.cc │ │ ├── softmax.cu │ │ ├── softmax_activation-inl.h │ │ ├── softmax_activation.cc │ │ ├── softmax_activation.cu │ │ ├── upsampling-inl.h │ │ ├── upsampling.cc │ │ └── upsampling.cu │ ├── nnpack │ │ ├── nnpack_convolution-inl.h │ │ ├── nnpack_fully_connected-inl.h │ │ ├── nnpack_pooling-inl.h │ │ ├── nnpack_util.cc │ │ └── nnpack_util.h │ ├── operator.cc │ ├── operator_common.h │ ├── operator_tune-inl.h │ ├── operator_tune.cc │ ├── operator_tune.h │ ├── operator_util.cc │ ├── optimizer_op-inl.h │ ├── optimizer_op.cc │ ├── optimizer_op.cu │ ├── pad-inl.h │ ├── pad.cc │ ├── pad.cu │ ├── pooling_v1-inl.h │ ├── pooling_v1.cc │ ├── pooling_v1.cu │ ├── quantization │ │ ├── dequantize-inl.h │ │ ├── dequantize.cc │ │ ├── dequantize.cu │ │ ├── mkldnn │ │ │ ├── mkldnn_dequantize-inl.h │ │ │ ├── mkldnn_quantize-inl.h │ │ │ ├── mkldnn_quantized_conv.cc │ │ │ ├── mkldnn_quantized_pooling.cc │ │ │ └── mkldnn_requantize-inl.h │ │ ├── quantization_utils.h │ │ ├── quantize-inl.h │ │ ├── quantize.cc │ │ ├── quantize.cu │ │ ├── quantize_graph_pass.cc │ │ ├── quantized_conv.cc │ │ ├── quantized_conv.cu │ │ ├── quantized_flatten-inl.h │ │ ├── quantized_flatten.cc │ │ ├── quantized_flatten.cu │ │ ├── quantized_fully_connected.cc │ │ ├── quantized_fully_connected.cu │ │ ├── quantized_pooling.cc │ │ ├── quantized_pooling.cu │ │ ├── requantize-inl.h │ │ ├── requantize.cc │ │ └── requantize.cu │ ├── random │ │ ├── multisample_op.cc │ │ ├── multisample_op.cu │ │ ├── multisample_op.h │ │ ├── sample_multinomial_op.cc │ │ ├── sample_multinomial_op.cu │ │ ├── sample_multinomial_op.h │ │ ├── sample_op.cc │ │ ├── sample_op.cu │ │ ├── sample_op.h │ │ ├── sampler.h │ │ ├── shuffle_op.cc │ │ ├── shuffle_op.cu │ │ ├── unique_sample_op.cc │ │ └── unique_sample_op.h │ ├── regression_output-inl.h │ ├── regression_output.cc │ ├── regression_output.cu │ ├── rnn-inl.h │ ├── rnn.cc │ ├── rnn.cu │ ├── rnn_impl.h │ ├── roi_pooling-inl.h │ ├── roi_pooling.cc │ ├── roi_pooling.cu │ ├── sequence_last-inl.h │ ├── sequence_last.cc │ ├── sequence_last.cu │ ├── sequence_mask-inl.h │ ├── sequence_mask.cc │ ├── sequence_mask.cu │ ├── sequence_op_common.h │ ├── sequence_reverse-inl.h │ ├── sequence_reverse.cc │ ├── sequence_reverse.cu │ ├── slice_channel-inl.h │ ├── slice_channel.cc │ ├── slice_channel.cu │ ├── softmax_output-inl.h │ ├── softmax_output.cc │ ├── softmax_output.cu │ ├── spatial_transformer-inl.h │ ├── spatial_transformer.cc │ ├── spatial_transformer.cu │ ├── special_functions-inl.h │ ├── subgraph │ │ ├── common.h │ │ ├── default_subgraph_property.cc │ │ ├── mkldnn │ │ │ ├── mkldnn_conv-inl.h │ │ │ ├── mkldnn_conv.cc │ │ │ ├── mkldnn_conv_post_quantize_property.cc │ │ │ └── mkldnn_conv_property.cc │ │ ├── partition_graph.cc │ │ └── subgraph_property.h │ ├── subgraph_op_common.cc │ ├── subgraph_op_common.h │ ├── svm_output-inl.h │ ├── svm_output.cc │ ├── svm_output.cu │ ├── swapaxis-inl.h │ ├── swapaxis.cc │ ├── swapaxis.cu │ └── tensor │ │ ├── broadcast_reduce-inl.cuh │ │ ├── broadcast_reduce-inl.h │ │ ├── broadcast_reduce_op.h │ │ ├── broadcast_reduce_op_index.cc │ │ ├── broadcast_reduce_op_index.cu │ │ ├── broadcast_reduce_op_value.cc │ │ ├── broadcast_reduce_op_value.cu │ │ ├── cast_storage-inl.cuh │ │ ├── cast_storage-inl.h │ │ ├── cast_storage.cc │ │ ├── cast_storage.cu │ │ ├── control_flow_op.cc │ │ ├── control_flow_op.cu │ │ ├── control_flow_op.h │ │ ├── diag_op-inl.h │ │ ├── diag_op.cc │ │ ├── diag_op.cu │ │ ├── dot-inl.cuh │ │ ├── dot-inl.h │ │ ├── dot.cc │ │ ├── dot.cu │ │ ├── elemwise_binary_broadcast_op-inl.cuh │ │ ├── elemwise_binary_broadcast_op.h │ │ ├── elemwise_binary_broadcast_op_basic.cc │ │ ├── elemwise_binary_broadcast_op_basic.cu │ │ ├── elemwise_binary_broadcast_op_extended.cc │ │ ├── elemwise_binary_broadcast_op_extended.cu │ │ ├── elemwise_binary_broadcast_op_logic.cc │ │ ├── elemwise_binary_broadcast_op_logic.cu │ │ ├── elemwise_binary_op-inl.h │ │ ├── elemwise_binary_op.cc │ │ ├── elemwise_binary_op.h │ │ ├── elemwise_binary_op_basic.cc │ │ ├── elemwise_binary_op_basic.cu │ │ ├── elemwise_binary_op_extended.cc │ │ ├── elemwise_binary_op_extended.cu │ │ ├── elemwise_binary_op_logic.cc │ │ ├── elemwise_binary_op_logic.cu │ │ ├── elemwise_binary_scalar_op.h │ │ ├── elemwise_binary_scalar_op_basic.cc │ │ ├── elemwise_binary_scalar_op_basic.cu │ │ ├── elemwise_binary_scalar_op_extended.cc │ │ ├── elemwise_binary_scalar_op_extended.cu │ │ ├── elemwise_binary_scalar_op_logic.cc │ │ ├── elemwise_binary_scalar_op_logic.cu │ │ ├── elemwise_scatter_op.cc │ │ ├── elemwise_scatter_op.cu │ │ ├── elemwise_scatter_op.h │ │ ├── elemwise_sum.cc │ │ ├── elemwise_sum.cu │ │ ├── elemwise_sum.h │ │ ├── elemwise_unary_op.h │ │ ├── elemwise_unary_op_basic.cc │ │ ├── elemwise_unary_op_basic.cu │ │ ├── elemwise_unary_op_trig.cc │ │ ├── elemwise_unary_op_trig.cu │ │ ├── histogram-inl.h │ │ ├── histogram.cc │ │ ├── histogram.cu │ │ ├── indexing_op-inl.cuh │ │ ├── indexing_op.cc │ │ ├── indexing_op.cu │ │ ├── indexing_op.h │ │ ├── init_op.cc │ │ ├── init_op.cu │ │ ├── init_op.h │ │ ├── la_op.cc │ │ ├── la_op.cu │ │ ├── la_op.h │ │ ├── la_op_inline.h │ │ ├── matrix_op-inl.h │ │ ├── matrix_op.cc │ │ ├── matrix_op.cu │ │ ├── ordering_op-inl.h │ │ ├── ordering_op.cc │ │ ├── ordering_op.cu │ │ ├── ravel.cc │ │ ├── ravel.cu │ │ ├── ravel.h │ │ ├── sort_op-inl.cuh │ │ ├── sort_op.h │ │ ├── sparse_retain-inl.h │ │ ├── sparse_retain.cc │ │ ├── sparse_retain.cu │ │ ├── square_sum-inl.h │ │ ├── square_sum.cc │ │ ├── square_sum.cu │ │ └── util │ │ ├── tensor_util-inl.cuh │ │ └── tensor_util-inl.h ├── optimizer │ └── sgd-inl.h ├── profiler │ ├── aggregate_stats.cc │ ├── aggregate_stats.h │ ├── profiler.cc │ ├── profiler.h │ ├── storage_profiler.h │ ├── vtune.cc │ └── vtune.h ├── resource.cc └── storage │ ├── cpu_device_storage.h │ ├── cpu_shared_storage_manager.h │ ├── gpu_device_storage.h │ ├── naive_storage_manager.h │ ├── pinned_memory_storage.h │ ├── pooled_storage_manager.h │ ├── storage.cc │ └── storage_manager.h ├── tests ├── .gitignore ├── CMakeLists.txt ├── README.md ├── cpp │ ├── .gitignore │ ├── engine │ │ └── threaded_engine_test.cc │ ├── include │ │ ├── test_core_op.h │ │ ├── test_legacy_op.h │ │ ├── test_ndarray_utils.h │ │ ├── test_op.h │ │ ├── test_op_runner.h │ │ ├── test_perf.h │ │ ├── test_tune.h │ │ └── test_util.h │ ├── kvstore │ │ └── gpu_topology_test.cc │ ├── misc │ │ ├── base.cc │ │ └── serialization.cc │ ├── operator │ │ ├── activation_perf.cc │ │ ├── batchnorm_test.cc │ │ ├── coreop_perf.cc │ │ ├── dropout_perf.cc │ │ ├── fully_conn_perf.cc │ │ ├── krprod_test.cc │ │ ├── mkldnn.cc │ │ ├── runner │ │ │ └── core_op_runner_test.cc │ │ ├── slice_channel_perf.cc │ │ └── tune │ │ │ └── operator_tune_test.cc │ ├── storage │ │ └── storage_test.cc │ ├── test_main.cc │ └── unittest.mk ├── jenkins │ ├── format │ ├── run_as_user.sh │ ├── run_test.sh │ ├── run_test_amzn_linux_gpu.sh │ ├── run_test_installation_docs.sh │ ├── run_test_pip_installations.sh │ ├── run_test_ubuntu.sh │ └── set_user_permissions.sh ├── nightly │ ├── .gitignore │ ├── Jenkinsfile │ ├── JenkinsfileForBinaries │ ├── README.md │ ├── TestDoc │ │ ├── doc_spell_checker.py │ │ └── doc_spell_grammar.sh │ ├── apache_rat_license_check │ │ ├── README.md │ │ └── rat-excludes │ ├── broken_link_checker_test │ │ ├── JenkinsfileForBLC │ │ ├── README.md │ │ ├── broken_link_checker.sh │ │ └── test_broken_links.py │ ├── compilation_warnings │ │ ├── compilation_warnings.sh │ │ └── process_output.py │ ├── dist_async_kvstore.py │ ├── dist_device_sync_kvstore.py │ ├── dist_lenet.py │ ├── dist_sync_kvstore.py │ ├── download.sh │ ├── model_backwards_compatibility_check │ │ ├── JenkinsfileForMBCC │ │ ├── README.md │ │ ├── common.py │ │ ├── model_backward_compat_checker.sh │ │ ├── model_backwards_compat_inference.py │ │ ├── model_backwards_compat_train.py │ │ ├── train_mxnet_legacy_models.sh │ │ └── upload_models_to_s3.sh │ ├── multi_lenet.py │ ├── sh2ju.sh │ ├── straight_dope │ │ ├── README.md │ │ ├── straight_dope_test_utils.py │ │ ├── test_notebooks_multi_gpu.py │ │ └── test_notebooks_single_gpu.py │ ├── test_all.sh │ ├── test_image_classification.sh │ ├── test_kvstore.py │ ├── test_large_array.py │ ├── test_server_profiling.py │ └── test_tlocal_racecondition.py ├── python-pytest │ └── onnx │ │ ├── export │ │ ├── backend.py │ │ ├── backend_rep.py │ │ ├── mxnet_export_test.py │ │ └── onnx_backend_test.py │ │ └── import │ │ ├── gluon_backend.py │ │ ├── gluon_backend_rep.py │ │ ├── gluon_backend_test.py │ │ ├── mxnet_backend.py │ │ ├── mxnet_backend_rep.py │ │ ├── mxnet_backend_test.py │ │ ├── onnx_import_test.py │ │ └── test_cases.py ├── python │ ├── README.md │ ├── common │ │ └── models.py │ ├── doctest │ │ └── test_docstring.py │ ├── gpu │ │ ├── test_device.py │ │ ├── test_forward.py │ │ ├── test_gluon_gpu.py │ │ ├── test_gluon_model_zoo_gpu.py │ │ ├── test_kvstore_gpu.py │ │ ├── test_nccl.py │ │ ├── test_operator_gpu.py │ │ ├── test_rtc.py │ │ └── test_tvm_bridge.py │ ├── mkl │ │ ├── test_mkldnn.py │ │ ├── test_mkldnn_install.py │ │ ├── test_quantization_mkldnn.py │ │ └── test_subgraph.py │ ├── predict │ │ └── mxnet_predict_example.py │ ├── quantization │ │ ├── common.py │ │ └── test_quantization.py │ ├── quantization_gpu │ │ └── test_quantization_gpu.py │ ├── tensorrt │ │ ├── common.py │ │ ├── lenet5_common.py │ │ ├── lenet5_train.py │ │ ├── test_cvnets.py │ │ ├── test_cycle.py │ │ ├── test_tensorrt_lenet5.py │ │ └── test_training_warning.py │ ├── train │ │ ├── common.py │ │ ├── test_autograd.py │ │ ├── test_bucketing.py │ │ ├── test_conv.py │ │ ├── test_dtype.py │ │ ├── test_mlp.py │ │ ├── test_resnet_aug.py │ │ └── test_sparse_fm.py │ └── unittest │ │ ├── common.py │ │ ├── legacy_ndarray.v0 │ │ ├── test_attr.py │ │ ├── test_autograd.py │ │ ├── test_base.py │ │ ├── test_contrib_autograd.py │ │ ├── test_contrib_control_flow.py │ │ ├── test_contrib_io.py │ │ ├── test_contrib_krprod.py │ │ ├── test_contrib_operator.py │ │ ├── test_contrib_optimizer.py │ │ ├── test_contrib_svrg_module.py │ │ ├── test_contrib_svrg_optimizer.py │ │ ├── test_contrib_text.py │ │ ├── test_engine.py │ │ ├── test_engine_import.py │ │ ├── test_exc_handling.py │ │ ├── test_executor.py │ │ ├── test_gluon.py │ │ ├── test_gluon_contrib.py │ │ ├── test_gluon_data.py │ │ ├── test_gluon_data_vision.py │ │ ├── test_gluon_model_zoo.py │ │ ├── test_gluon_rnn.py │ │ ├── test_gluon_trainer.py │ │ ├── test_gluon_utils.py │ │ ├── test_image.py │ │ ├── test_infer_shape.py │ │ ├── test_infer_type.py │ │ ├── test_init.py │ │ ├── test_io.py │ │ ├── test_kvstore.py │ │ ├── test_loss.py │ │ ├── test_metric.py │ │ ├── test_metric_perf.py │ │ ├── test_model_parallel.py │ │ ├── test_module.py │ │ ├── test_multi_device_exec.py │ │ ├── test_ndarray.py │ │ ├── test_operator.py │ │ ├── test_optimizer.py │ │ ├── test_predictor.py │ │ ├── test_profiler.py │ │ ├── test_random.py │ │ ├── test_recordio.py │ │ ├── test_rnn.py │ │ ├── test_sparse_ndarray.py │ │ ├── test_sparse_operator.py │ │ ├── test_subgraph.py │ │ ├── test_subgraph_op.py │ │ ├── test_symbol.py │ │ ├── test_test_utils.py │ │ ├── test_thread_local.py │ │ └── test_viz.py ├── tutorials │ ├── test_sanity_tutorials.py │ └── test_tutorials.py └── utils │ └── notebook_test │ └── __init__.py └── tools ├── accnn ├── README.md ├── acc_conv.py ├── acc_fc.py ├── accnn.py ├── rank_selection.py └── utils.py ├── bandwidth ├── .gitignore ├── README.md ├── measure.py └── test_measure.py ├── caffe_converter ├── .gitignore ├── Makefile ├── README.md ├── caffe.proto ├── caffe_parser.py ├── caffe_proto_utils.py ├── compare_layers.py ├── convert_caffe_modelzoo.py ├── convert_mean.py ├── convert_model.py ├── convert_symbol.py ├── make_win32.bat ├── run.sh └── test_converter.py ├── caffe_translator ├── README.md ├── build.gradle ├── build_from_source.md ├── faq.md ├── gradle.properties ├── gradle │ └── wrapper │ │ └── gradle-wrapper.properties ├── gradlew ├── gradlew.bat ├── scripts │ └── convert_caffe_model.py ├── settings.gradle └── src │ └── main │ ├── antlr │ └── io │ │ └── mxnet │ │ └── caffetranslator │ │ └── CaffePrototxt.g4 │ ├── java │ └── io │ │ └── mxnet │ │ └── caffetranslator │ │ ├── Config.java │ │ ├── Converter.java │ │ ├── CreateModelListener.java │ │ ├── GenerationHelper.java │ │ ├── GeneratorOutput.java │ │ ├── Launcher.java │ │ ├── Layer.java │ │ ├── MLModel.java │ │ ├── Optimizer.java │ │ ├── ParserHelper.java │ │ ├── Solver.java │ │ ├── SolverListener.java │ │ ├── SymbolGenerator.java │ │ ├── SymbolGeneratorFactory.java │ │ ├── Utils.java │ │ ├── generators │ │ ├── AccuracyMetricsGenerator.java │ │ ├── BaseGenerator.java │ │ ├── BatchNormGenerator.java │ │ ├── ConcatGenerator.java │ │ ├── ConvolutionGenerator.java │ │ ├── DeconvolutionGenerator.java │ │ ├── DropoutGenerator.java │ │ ├── EltwiseGenerator.java │ │ ├── FCGenerator.java │ │ ├── FlattenGenerator.java │ │ ├── PermuteGenerator.java │ │ ├── PluginIntLayerGenerator.java │ │ ├── PluginLayerHelper.java │ │ ├── PluginLossGenerator.java │ │ ├── PoolingGenerator.java │ │ ├── PowerGenerator.java │ │ ├── ReluGenerator.java │ │ ├── ScaleGenerator.java │ │ └── SoftmaxOutputGenerator.java │ │ └── misc │ │ ├── CollectStats.java │ │ └── StatsListener.java │ └── resources │ └── templates │ ├── accuracy.st │ ├── activation.st │ ├── add.st │ ├── batchnorm.st │ ├── concat.st │ ├── convolution.st │ ├── deconvolution.st │ ├── dropout.st │ ├── fc.st │ ├── flatten.st │ ├── group.st │ ├── imports.st │ ├── init_params.st │ ├── iterator.st │ ├── logging.st │ ├── lrn.st │ ├── lrpolicy_exp.st │ ├── lrpolicy_inv.st │ ├── lrpolicy_multistep.st │ ├── lrpolicy_poly.st │ ├── lrpolicy_sigmoid.st │ ├── lrpolicy_step.st │ ├── maxium.st │ ├── metrics_classes.st │ ├── mul.st │ ├── opt_adadelta.st │ ├── opt_adagrad.st │ ├── opt_adam.st │ ├── 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