├── .gitignore ├── GetResultFromLogs.py ├── GetResultFromLogs_multi_gpu.py ├── README.md ├── caffe ├── Generate_FCN5.py ├── Generate_FCN8.py ├── Generate_alexnet.py ├── Generate_resnet.py ├── caffe_auto.sh ├── caffe_build.sh ├── caffe_multi_gpu_benchmarks.sh ├── caffe_nvprof_benchmarks.sh ├── caffe_run_benchmarks.sh ├── cnn │ └── createFakeImageNetForCaffeCNN.py ├── fcn │ └── createFakeDataForCaffeFCN.py ├── output_alexnet.log ├── output_fcn5.log ├── output_fcn5_2gpu.log ├── output_fcn5_4gpu.log ├── output_fcn8.log ├── output_fcn8_2gpu.log ├── output_fcn8_4gpu.log └── output_resnet.log ├── cntk ├── cnn │ ├── alexnet │ │ ├── AlexNet.ndl │ │ ├── Macros.ndl │ │ └── alexnet.cntk │ ├── createFakeImageNetDataForCNTKCNN.py │ ├── createLabelMapForCNTKCNN.py │ └── resnet │ │ ├── Macros.ndl │ │ ├── ResNet_50.ndl │ │ └── resnet.cntk ├── cntk_auto.sh ├── cntk_build.sh ├── cntk_multi_gpu_benchmarks.sh ├── cntk_multi_nodes_benchmarks.sh ├── cntk_nvprof_benchmarks.sh ├── cntk_run_benchmarks.sh ├── fcn │ ├── Macros.ndl │ ├── createDataForCNTKFCN.py │ ├── createLabelMapForCNTKFCN.py │ ├── fcn5.cntk │ └── fcn8.cntk ├── hosts ├── output_alexnet_Train.log ├── output_fcn5_2gpu_Train.log ├── output_fcn5_4gpu_2node_Train.log ├── output_fcn5_4gpu_2node_Train.log.rank1 ├── output_fcn5_4gpu_2node_Train.log.rank2 ├── output_fcn5_4gpu_2node_Train.log.rank3 ├── output_fcn5_4gpu_2node_Train.log.rank4 ├── output_fcn5_4gpu_2node_Train.log.rank5 ├── output_fcn5_4gpu_2node_Train.log.rank6 ├── output_fcn5_4gpu_2node_Train.log.rank7 ├── output_fcn5_4gpu_Train.log ├── output_fcn5_Train.log ├── output_fcn8_2gpu_Train.log ├── output_fcn8_4gpu_2node_Train.log ├── output_fcn8_4gpu_2node_Train.log.rank1 ├── output_fcn8_4gpu_2node_Train.log.rank2 ├── output_fcn8_4gpu_2node_Train.log.rank3 ├── output_fcn8_4gpu_2node_Train.log.rank4 ├── output_fcn8_4gpu_2node_Train.log.rank5 ├── output_fcn8_4gpu_2node_Train.log.rank6 ├── output_fcn8_4gpu_2node_Train.log.rank7 ├── output_fcn8_4gpu_Train.log ├── output_fcn8_Train.log ├── output_lstm32_Train.log ├── output_lstm64_Train.log ├── output_resnet_Train.log ├── parallel │ └── cifar-10 │ │ ├── 03_ResNet-parallel.cntk │ │ ├── 03_ResNet.ndl │ │ ├── 16to32.txt │ │ ├── 32to64.txt │ │ └── Macros.ndl └── rnn │ └── PennTreebank │ ├── AdditionalFiles │ ├── RNNLM │ │ ├── CPU │ │ │ ├── ExpectedOutputs.txt │ │ │ ├── fnnlm.cntk │ │ │ ├── global.cntk │ │ │ └── rnnlm.cntk │ │ ├── GPU │ │ │ ├── ExpectedOutputs.txt │ │ │ ├── fnnlm.cntk │ │ │ ├── global.cntk │ │ │ ├── rnnlm.cntk │ │ │ └── rnnlm.gpu.cntk │ │ └── rnnlm.ndl │ ├── batch-cntk-rnn.sh │ └── benchmarks.sh │ ├── Config │ └── rnn.cntk │ ├── Data │ ├── ptb.small.test.txt │ ├── ptb.small.train.txt │ ├── ptb.small.valid.txt │ ├── ptb.test.txt │ ├── ptb.train.32.ctf │ ├── ptb.train.64.ctf │ ├── ptb.train.txt │ └── ptb.valid.txt │ └── README.md ├── mxnet ├── benchmark.py ├── benchmark_full.py ├── models │ ├── __init__.py │ ├── alexnet.py │ ├── fcn5.py │ ├── fcn8.py │ └── resnet.py ├── mxnet_auto.sh ├── mxnet_build.sh ├── mxnet_nvprof_benchmarks.sh ├── mxnet_run_benchmarks.sh ├── output_alexnet.log ├── output_fcn5.log ├── output_fcn8.log ├── output_lstm32.log ├── output_lstm64.log ├── output_resnet.log └── rnn │ ├── bucket_io.py │ ├── lstm.py │ └── lstm_bucketing.py ├── result.md ├── result_multi_gpu.md ├── run_all.sh ├── run_benchmarks.sh ├── run_multi_gpu.sh ├── run_nvprof.sh ├── tensorflow ├── benchmark.py ├── benchmark_full.py ├── fcn5_4gpu_2node.log.rank0 ├── fcn5_4gpu_2node.log.rank1 ├── models │ ├── __init__.py │ ├── alexnet.py │ ├── fcn5.py │ ├── fcn8.py │ └── resnet.py ├── multi_gpu_benchmark.py ├── multi_node_benchmark.py ├── output_alexnet.log ├── output_fcn5.log ├── output_fcn5_2gpu.log ├── output_fcn5_4gpu.log ├── output_fcn8.log ├── output_fcn8_2gpu.log ├── output_fcn8_4gpu.log ├── output_lstm32.log ├── output_lstm64.log ├── output_resnet.log ├── rnn │ └── lstm │ │ └── lstm.py ├── tensorflow_auto.sh ├── tensorflow_build.sh ├── tensorflow_multi_gpu_benchmarks.sh ├── tensorflow_nvprof_benchmarks.sh └── tensorflow_run_benchmarks.sh ├── theano ├── auto_benchmark.sh ├── auto_benchmark_keras.sh ├── auto_build.sh ├── benchmark.py ├── benchmark_keras.py ├── extra │ └── fcn │ │ ├── README.md │ │ ├── fcn5_keras.py │ │ ├── fcn5_raw_theano.py │ │ ├── log │ │ ├── fcn5_keras.log │ │ └── fcn5_raw_theano.log │ │ ├── nvprof_profiling │ │ ├── fcn5_keras.log │ │ ├── fcn5_lasagne.log │ │ └── fcn5_raw_theano.log │ │ ├── profiling.sh │ │ └── theano_profiling │ │ ├── fcn5_keras.log │ │ ├── fcn5_lasagne.log │ │ └── fcn5_raw_theano.log ├── keras_models │ ├── __init__.py │ ├── alexnet.py │ ├── fcn5.py │ ├── fcn8.py │ ├── lstm.py │ └── resnet50.py ├── log │ ├── alexnet.log │ ├── fcn5.log │ ├── fcn8.log │ ├── lstm32.log │ ├── lstm64.log │ └── resnet.log ├── models │ ├── __init__.py │ ├── alexnet.py │ ├── fcn5.py │ ├── fcn8.py │ ├── lstm.py │ └── resnet50.py ├── nvprof_benchmark.sh ├── produce_result.sh └── theano_auto.sh └── torch7 ├── benchmark.lua ├── benchmark_full.lua 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