python source code of bdk

Project: dynamic-training-with-apache-mxnet-on-aws (GitHub Link)

dynamic-training-with-apache-mxnet-on-aws-master
- dynamic-training-cft.json
- .github
  - PULL_REQUEST_TEMPLATE.md
  - ISSUE_TEMPLATE.md
- src
  - c_api
    - c_api_error.cc
    - c_api_executor.cc
    - c_api_function.cc
    - c_predict_api.cc
    - c_api_common.h
    - c_api_profile.cc
    - c_api.cc
    - c_api_ndarray.cc
    - c_api_symbolic.cc
    - .clang-tidy
    - c_api_test.cc
  - storage
    - cpu_device_storage.h
    - cpu_shared_storage_manager.h
    - pinned_memory_storage.h
    - storage_manager.h
    - gpu_device_storage.h
    - storage.cc
    - naive_storage_manager.h
    - pooled_storage_manager.h
  - profiler
    - aggregate_stats.cc
    - vtune.cc
    - profiler.h
    - vtune.h
    - profiler.cc
    - aggregate_stats.h
    - storage_profiler.h
  - initialize.cc
  - executor
    - graph_executor.cc
    - onnx_to_tensorrt.h
    - graph_executor.h
    - inplace_addto_detect_pass.cc
    - trt_graph_executor.h
    - tensorrt_pass.cc
    - trt_graph_executor.cc
    - onnx_to_tensorrt.cc
    - attach_op_resource_pass.cc
    - attach_op_execs_pass.cc
    - infer_graph_attr_pass.cc
    - exec_pass.h
  - resource.cc
  - ndarray
    - ndarray_function.cu
    - ndarray_function-inl.cuh
    - ndarray_function.cc
    - ndarray.cc
    - ndarray_function.h
    - ndarray_function-inl.h
  - common
    - utils.cu
    - cuda_utils.h
    - serialization.h
    - random_generator.cu
    - static_array.h
    - utils.h
    - utils.cc
    - lazy_alloc_array.h
    - exec_utils.h
    - object_pool.h
    - rtc.cc
  - operator
    - slice_channel.cc
    - convolution_v1.cc
    - roi_pooling.cu
    - loss_binary_op-inl.h
    - cudnn_lrn-inl.h
    - crop.cc
    - identity_attach_KL_sparse_reg.cu
    - pad.cc
    - sequence_reverse.cu
    - l2_normalization.cu
    - leaky_relu-inl.h
    - linalg.h
    - leaky_relu.cu
    - special_functions-inl.h
    - l2_normalization.cc
    - softmax_output.cu
    - operator_tune-inl.h
    - make_loss.cc
    - rnn.cc
    - convolution_v1.cu
    - spatial_transformer.cc
    - instance_norm.cc
    - linalg_impl.h
    - sequence_mask.cc
    - optimizer_op.cc
    - cudnn_bilinear_sampler-inl.h
    - identity_attach_KL_sparse_reg-inl.h
    - grid_generator-inl.h
    - loss_binary_op.cc
    - l2_normalization-inl.h
    - channel_op_common.h
    - subgraph_op_common.cc
    - tensor
      - elemwise_binary_op-inl.h
      - elemwise_binary_scalar_op_basic.cc
      - broadcast_reduce-inl.h
      - matrix_op.cc
      - elemwise_binary_scalar_op_logic.cc
      - elemwise_unary_op_trig.cu
      - elemwise_binary_broadcast_op_extended.cu
      - elemwise_binary_op.h
      - cast_storage.cc
      - elemwise_unary_op_basic.cu
      - la_op_inline.h
      - elemwise_unary_op_trig.cc
      - la_op.cc
      - cast_storage.cu
      - ravel.cu
      - elemwise_binary_scalar_op_extended.cu
      - dot-inl.h
      - broadcast_reduce-inl.cuh
      - indexing_op-inl.cuh
      - elemwise_sum.h
      - init_op.h
      - elemwise_binary_op_extended.cc
      - ordering_op.cu
      - control_flow_op.cc
      - elemwise_scatter_op.h
      - dot.cu
      - elemwise_binary_broadcast_op_basic.cc
      - elemwise_binary_scalar_op_logic.cu
      - sort_op-inl.cuh
      - elemwise_scatter_op.cc
      - elemwise_unary_op_basic.cc
      - ordering_op.cc
      - broadcast_reduce_op_index.cc
      - elemwise_sum.cc
      - elemwise_unary_op.h
      - histogram.cu
      - la_op.cu
      - elemwise_binary_op_basic.cu
      - cast_storage-inl.cuh
      - elemwise_binary_broadcast_op_extended.cc
      - indexing_op.cu
      - util
        tensor_util-inl.cuh
        tensor_util-inl.h
      - square_sum-inl.h
      - elemwise_binary_broadcast_op.h
      - elemwise_binary_broadcast_op_logic.cc
      - elemwise_binary_scalar_op_basic.cu
      - matrix_op-inl.h
      - elemwise_binary_scalar_op.h
      - elemwise_sum.cu
      - init_op.cc
      - ordering_op-inl.h
      - broadcast_reduce_op.h
      - diag_op-inl.h
      - ravel.h
      - dot.cc
      - control_flow_op.cu
      - square_sum.cu
      - broadcast_reduce_op_value.cu
      - elemwise_binary_op_extended.cu
      - elemwise_scatter_op.cu
      - diag_op.cu
      - histogram-inl.h
      - broadcast_reduce_op_index.cu
      - elemwise_binary_op_basic.cc
      - elemwise_binary_broadcast_op_logic.cu
      - sort_op.h
      - la_op.h
      - control_flow_op.h
      - elemwise_binary_op_logic.cc
      - histogram.cc
      - sparse_retain.cu
      - ravel.cc
      - init_op.cu
      - elemwise_binary_scalar_op_extended.cc
      - elemwise_binary_broadcast_op_basic.cu
      - cast_storage-inl.h
      - diag_op.cc
      - elemwise_binary_broadcast_op-inl.cuh
      - indexing_op.cc
      - sparse_retain.cc
      - square_sum.cc
      - elemwise_binary_op_logic.cu
      - sparse_retain-inl.h
      - matrix_op.cu
      - elemwise_binary_op.cc
      - indexing_op.h
      - dot-inl.cuh
      - broadcast_reduce_op_value.cc
    - rnn-inl.h
    - mxnet_op.h
    - svm_output.cu
    - slice_channel-inl.h
    - sequence_mask.cu
    - grid_generator.cc
    - nnpack
      - nnpack_pooling-inl.h
      - nnpack_util.cc
      - nnpack_convolution-inl.h
      - nnpack_util.h
      - nnpack_fully_connected-inl.h
    - sequence_last-inl.h
    - roi_pooling-inl.h
    - mshadow_op.h
    - quantization
      - quantized_flatten.cc
      - requantize.cc
      - quantized_pooling.cc
      - quantization_utils.h
      - quantize.cu
      - mkldnn
        mkldnn_dequantize-inl.h
        mkldnn_quantized_pooling.cc
        mkldnn_requantize-inl.h
        mkldnn_quantized_conv.cc
        mkldnn_quantize-inl.h
      - dequantize.cu
      - dequantize-inl.h
      - dequantize.cc
      - quantize-inl.h
      - requantize.cu
      - quantized_pooling.cu
      - requantize-inl.h
      - quantized_fully_connected.cu
      - quantize.cc
      - quantized_conv.cu
      - quantized_flatten.cu
      - quantized_flatten-inl.h
      - quantized_conv.cc
      - quantize_graph_pass.cc
      - quantized_fully_connected.cc
    - rnn.cu
    - elemwise_op_common.h
    - c_lapack_api.h
    - loss_binary_op.cu
    - regression_output.cc
    - nn
      - ctc_loss.cu
      - softmax.cu
      - fully_connected.cu
      - fully_connected-inl.h
      - im2col.cuh
      - lrn-inl.h
      - dropout.cu
      - concat-inl.h
      - convolution-inl.h
      - depthwise_convolution-inl.h
      - pooling-inl.h
      - concat.cc
      - deconvolution-inl.h
      - mkldnn
        mkldnn_copy.cc
        mkldnn_convolution-inl.h
        mkldnn_pooling-inl.h
        mkldnn_ops-inl.h
        mkldnn_concat.cc
        mkldnn_base.cc
        mkldnn_deconvolution.cc
        mkldnn_convolution.cc
        mkldnn_act.cc
        mkldnn_fully_connected.cc
        mkldnn_batch_norm-inl.h
        mkldnn_lrn-inl.h
        mkldnn_base-inl.h
        mkldnn_softmax.cc
        mkldnn_pooling.cc
        mkldnn_sum.cc
      - upsampling.cu
      - ctc_loss.cc
      - batch_norm-inl.h
      - pooling.cu
      - depthwise_convolution_tf.cuh
      - pool.h
      - layer_norm.cc
      - lrn.cu
      - ctc_loss-inl.h
      - cudnn
        cudnn_convolution-inl.h
        cudnn_algoreg-inl.h
        cudnn_batch_norm.cu
        cudnn_softmax_activation-inl.h
        cudnn_algoreg.cc
        cudnn_pooling-inl.h
        cudnn_deconvolution-inl.h
        cudnn_batch_norm-inl.h
        cudnn_activation-inl.h
        cudnn_batch_norm.cc
      - activation.cc
      - convolution.cu
      - sequence_mask-inl.h
      - deconvolution.cc
      - activation.cu
      - layer_norm.cu
      - softmax.cc
      - fully_connected.cc
      - activation-inl.h
      - softmax-inl.h
      - pool_utils.h
      - lrn.cc
      - softmax_activation.cu
      - deconvolution.cu
      - pool.cuh
      - upsampling.cc
      - im2col.h
      - softmax_activation-inl.h
      - softmax_activation.cc
      - upsampling-inl.h
      - dropout.cc
      - concat.cu
      - dropout-inl.h
      - layer_norm-inl.h
      - pooling.cc
      - batch_norm.cu
      - batch_norm.cc
      - convolution.cc
    - svm_output-inl.h
    - crop-inl.h
    - cudnn_rnn-inl.h
    - pad.cu
    - make_loss.cu
    - pad-inl.h
    - regression_output.cu
    - sequence_last.cc
    - convolution_v1-inl.h
    - subgraph
      - partition_graph.cc
      - subgraph_property.h
      - common.h
      - default_subgraph_property.cc
      - mkldnn
        mkldnn_conv_post_quantize_property.cc
        mkldnn_conv_property.cc
        mkldnn_conv.cc
        mkldnn_conv-inl.h
    - swapaxis-inl.h
    - batch_norm_v1.cc
    - operator_tune.h
    - grid_generator.cu
    - regression_output-inl.h
    - operator_common.h
    - math_functions-inl.h
    - leaky_relu.cc
    - cross_device_copy.cc
    - identity_attach_KL_sparse_reg.cc
    - sequence_mask-inl.h
    - optimizer_op.cu
    - slice_channel.cu
    - swapaxis.cc
    - pooling_v1.cc
    - rnn_impl.h
    - make_loss-inl.h
    - pooling_v1-inl.h
    - sequence_reverse-inl.h
    - optimizer_op-inl.h
    - svm_output.cc
    - batch_norm_v1.cu
    - operator_tune.cc
    - correlation-inl.h
    - cudnn_spatial_transformer-inl.h
    - bilinear_sampler.cu
    - instance_norm.cu
    - random
      - multisample_op.cc
      - sample_op.cu
      - multisample_op.h
      - multisample_op.cu
      - sample_multinomial_op.h
      - sampler.h
      - shuffle_op.cc
      - unique_sample_op.cc
      - sample_op.h
      - sample_multinomial_op.cu
      - sample_multinomial_op.cc
      - shuffle_op.cu
      - sample_op.cc
      - unique_sample_op.h
    - swapaxis.cu
    - roi_pooling.cc
    - batch_norm_v1-inl.h
    - instance_norm-inl.h
    - sequence_reverse.cc
    - subgraph_op_common.h
    - correlation.cu
    - spatial_transformer-inl.h
    - bilinear_sampler.cc
    - image
      - image_random.cc
      - image_random-inl.h
    - spatial_transformer.cu
    - pooling_v1.cu
    - custom
      - native_op-inl.h
      - custom.cc
      - native_op.cu
      - ndarray_op.cc
      - ndarray_op-inl.h
      - native_op.cc
      - custom-inl.h
    - contrib
      - tensorrt.cc
      - roi_align.cu
      - roi_align-inl.h
      - transformer.cc
      - quadratic_op.cu
      - multibox_detection.cu
      - deformable_psroi_pooling.cc
      - psroi_pooling-inl.h
      - multi_proposal.cc
      - tensorrt-inl.h
      - sync_batch_norm.cc
      - multibox_detection-inl.h
      - deformable_psroi_pooling-inl.h
      - optimizer_op.cc
      - deformable_convolution-inl.h
      - quadratic_op.cc
      - nnvm_to_onnx-inl.h
      - bounding_box.cc
      - multibox_prior-inl.h
      - tensorrt.cu
      - adaptive_avg_pooling.cu
      - ifft-inl.h
      - bilinear_resize.cu
      - transformer.cu
      - count_sketch.cc
      - multibox_prior.cc
      - fft.cc
      - multibox_detection.cc
      - multibox_target.cu
      - adaptive_avg_pooling-inl.h
      - count_sketch-inl.h
      - ifft.cc
      - nn
        deformable_im2col.h
        deformable_im2col.cuh
      - proposal.cu
      - multibox_target-inl.h
      - krprod.h
      - bounding_box-inl.h
      - sync_batch_norm-inl.h
      - quadratic_op-inl.h
      - krprod.cc
      - proposal.cc
      - deformable_convolution.cu
      - optimizer_op.cu
      - psroi_pooling.cu
      - sync_batch_norm.cu
      - bilinear_resize.cc
      - deformable_psroi_pooling.cu
      - multi_proposal.cu
      - adaptive_avg_pooling.cc
      - multibox_prior.cu
      - fft-inl.h
      - deformable_convolution.cc
      - optimizer_op-inl.h
      - proposal-inl.h
      - multibox_target.cc
      - bounding_box.cu
      - nnvm_to_onnx.cc
      - transformer-inl.h
      - fft.cu
      - psroi_pooling.cc
      - bounding_box-inl.cuh
      - bilinear_resize-inl.h
      - multi_proposal-inl.h
      - roi_align.cc
      - ifft.cu
      - count_sketch.cu
    - softmax_output-inl.h
    - crop.cu
    - sequence_last.cu
    - softmax_output.cc
    - bilinear_sampler-inl.h
    - operator_util.cc
    - sequence_op_common.h
    - operator.cc
    - correlation.cc
    - control_flow.cc
  - engine
    - threaded_engine_perdevice.cc
    - thread_pool.h
    - threaded_engine.cc
    - engine.cc
    - engine_impl.h
    - stream_manager.h
    - openmp.h
    - naive_engine.cc
    - openmp.cc
    - threaded_engine_pooled.cc
    - threaded_engine.h
  - imperative
    - cached_op.h
    - imperative_utils.cc
    - cached_op.cc
    - imperative_utils.h
    - imperative.cc
  - optimizer
    - sgd-inl.h
  - nnvm
    - tvm_bridge.cc
    - legacy_json_util.cc
    - legacy_op_util.cc
    - graph_editor.cc
  - kvstore
    - gradient_compression.cu
    - kvstore_local.h
    - gradient_compression.h
    - kvstore_utils.h
    - kvstore_utils.cc
    - gradient_compression-inl.h
    - comm.h
    - kvstore.cc
    - kvstore_nccl.h
    - kvstore_utils.cu
    - comm_tree.h
    - kvstore_dist_server.h
    - gradient_compression.cc
    - gpu_topology.h
    - kvstore_dist.h
  - io
    - iter_mnist.cc
    - iter_batchloader.h
    - iter_sparse.h
    - inst_vector.h
    - iter_prefetcher.h
    - io.cc
    - iter_sparse_prefetcher.h
    - iter_image_recordio.cc
    - iter_libsvm.cc
    - iter_image_det_recordio.cc
    - image_recordio.h
    - iter_csv.cc
    - image_aug_default.cc
    - iter_sparse_batchloader.h
    - iter_normalize.h
    - image_iter_common.h
    - image_io.cc
    - image_det_aug_default.cc
    - image_augmenter.h
    - iter_image_recordio_2.cc
- cmake
  - Utils.cmake
  - Modules
    - FindOpenBLAS.cmake
    - FindAccelerate.cmake
    - FindMKL.cmake
    - FindAtlas.cmake
    - FindGperftools.cmake
    - FindJeMalloc.cmake
    - FindNCCL.cmake
  - FirstClassLangCuda.cmake
  - MklDnn.cmake
  - ChooseBlas.cmake
- Untitled.ipynb
- CONTRIBUTORS.md
- Makefile
- cpp-package
  - include
    - mxnet-cpp
      - optimizer.hpp
      - base.h
      - symbol.hpp
      - metric.h
      - monitor.h
      - MxNetCpp.h
      - ndarray.h
      - io.hpp
      - symbol.h
      - op_util.h
      - shape.h
      - model.h
      - monitor.hpp
      - ndarray.hpp
      - io.h
      - op_suppl.h
      - initializer.h
      - operator.hpp
      - kvstore.hpp
      - executor.hpp
      - op_map.h
      - optimizer.h
      - lr_scheduler.h
      - kvstore.h
      - CPPLINT.cfg
      - .gitignore
      - executor.h
      - operator.h
  - LICENSE
  - cpp-package.mk
  - example
    - resnet.cpp
    - lenet.cpp
    - Makefile
    - googlenet.cpp
    - unittests
      - unit_test_mlp_csv.sh
    - test_score.cpp
    - mlp.cpp
    - run_lenet_with_mxdataiter.sh
    - mlp_cpu.cpp
    - charRNN.cpp
    - mlp_gpu.cpp
    - utils.h
    - mlp_csv.cpp
    - example.mk
    - feature_extract
      - Makefile
      - prepare_data_with_opencv.cpp
      - run.sh
      - feature_extract.cpp
      - README.md
    - CMakeLists.txt
    - get_data.sh
    - test_optimizer.cpp
    - alexnet.cpp
    - inception_bn.cpp
    - mnist_to_csv.py
    - lenet_with_mxdataiter.cpp
  - CMakeLists.txt
  - .travis.yml
  - README.md
  - tests
    - travis
      - run_test.sh
      - setup.sh
    - ci_test.sh
  - scripts
    - lint.py
    - OpWrapperGenerator.py
- include
  - mxnet
    - graph_attr_types.h
    - resource.h
    - base.h
    - engine.h
    - c_api.h
    - c_predict_api.h
    - random_generator.h
    - imperative.h
    - ndarray.h
    - tensor_blob.h
    - op_attr_types.h
    - storage.h
    - io.h
    - c_api_test.h
    - rtc.h
    - operator_util.h
    - kvstore.h
    - executor.h
    - operator.h
- .mxnet_root
- make
  - osx.mk
  - readthedocs.mk
  - crosscompile.jetson.mk
- matlab
  - +mxnet
    - private
      - parse_json.m
      - callmxnet.m
    - model.m
  - demo.m
  - get_inception_model.sh
  - README.md
  - tests
    - test_prediction.m
    - prepare_data.m
- readthedocs.yml
- plugin
  - warpctc
    - warpctc-inl.h
    - warpctc.cu
    - warpctc.mk
    - warpctc.cc
  - opencv
    - opencv.py
    - opencv.mk
    - cv_api.cc
    - __init__.py
    - cv_api.h
  - torch
    - torch_criterion-inl.h
    - torch_module-inl.h
    - torch.mk
    - torch_module.cu
    - torch_base.h
    - torch_criterion.cc
    - torch_criterion.cu
    - torch_function.h
    - torch_base.cc
    - torch_function.cc
    - torch_module.cc
  - sframe
    - plugin.mk
    - iter_sframe.cc
  - caffe
    - caffe_common.cc
    - caffe_op.cu
    - caffe_blob.cc
    - caffe_stream.h
    - caffe_loss.cc
    - caffe_fieldentry.h
    - caffe_loss.cu
    - caffe_op.cc
    - caffe_loss-inl.h
    - caffe_stream.cc
    - caffe_op-inl.h
    - caffe.mk
    - caffe_blob.h
    - README.md
    - caffe_common.h
    - caffe_data_iter.cc
- 3rdparty
  - mshadow
  - dlpack
  - openmp
  - mkldnn
  - tvm
  - googletest
  - cub
  - ps-lite
    - src
      - van.cc
      - postoffice.cc
      - meta.pb.cc
      - meta.proto
      - customer.cc
      - network_utils.h
      - zmq_van.h
      - windows
        unistd.h
      - resender.h
      - elastic_training.cc
    - cmake
      - Modules
        FindZMQ.cmake
      - ProtoBuf.cmake
      - External
        zmq.cmake
    - Makefile
    - include
      - ps
        ps.h
        base.h
        kv_app.h
        internal
        threadsafe_queue.h
        assign_op.h
        message.h
        utils.h
        env.h
        van.h
        elastic_training.h
        customer.h
        parallel_sort.h
        postoffice.h
        parallel_kv_match.h
        simple_app.h
        range.h
        sarray.h
      - dmlc
        base.h
        logging.h
    - make
      - ps.mk
      - deps.mk
    - LICENSE
    - CMakeLists.txt
    - .travis.yml
    - README.md
    - tests
      - test_simple_app.dSYM
        Contents
        Info.plist
        Resources
        DWARF
      - test_connection.cc
      - lint.py
      - local.sh
      - travis
        travis_setup_env.sh
        travis_script.sh
        travis_before_cache.sh
      - test_kv_app.dSYM
        Contents
        Info.plist
        Resources
        DWARF
      - test_kv_app_multi_workers.dSYM
        Contents
        Info.plist
        Resources
        DWARF
      - repeat.sh
      - README.md
      - test_kv_app_multi_workers.cc
      - test.mk
      - test_connection.dSYM
        Contents
        Info.plist
        Resources
        DWARF
      - local_multi_workers.sh
      - test_kv_app.cc
      - test_simple_app.cc
    - docs
      - get_started.md
      - Makefile
      - env.md
      - how_to.md
      - Doxyfile
      - index.md
      - sphinx_util.py
      - api.md
      - overview.md
      - conf.py
      - tutorials.md
  - dmlc-core
    - src
      - io.cc
      - build_config.cc
      - recordio.cc
      - io
        filesys.h
        threaded_input_split.h
        recordio_split.cc
        cached_input_split.h
        hdfs_filesys.h
        local_filesys.h
        s3_filesys.cc
        indexed_recordio_split.h
        local_filesys.cc
        azure_filesys.h
        line_split.h
        single_file_split.h
        s3_filesys.h
        filesys.cc
        recordio_split.h
        input_split_base.cc
        azure_filesys.cc
        indexed_recordio_split.cc
        input_split_base.h
        hdfs_filesys.cc
        line_split.cc
        uri_spec.h
        single_threaded_input_split.h
      - data.cc
      - config.cc
    - cmake
      - Utils.cmake
      - lint.cmake
      - Modules
        FindHDFS.cmake
      - gtest_cmake.in
      - build_config.h.in
    - Makefile
    - include
      - dmlc
        input_split_shuffle.h
        blockingconcurrentqueue.h
        base.h
        config.h
        common.h
        filesystem.h
        serializer.h
        registry.h
        timer.h
        json.h
        concurrency.h
        lua.h
        data.h
        type_traits.h
        endian.h
        threadediter.h
        thread_group.h
        io.h
        omp.h
        memory.h
        concurrentqueue.h
        optional.h
        build_config.h
        memory_io.h
        thread_local.h
        logging.h
        parameter.h
        recordio.h
        array_view.h
        any.h
    - make
      - dmlc.mk
    - LICENSE
    - test
      - libsvm_parser_test.cc
      - filesys_test.cc
      - libfm_parser_test.cc
      - recordio_test.cc
      - split_repeat_read_test.cc
      - split_test.cc
      - parameter_test.cc
      - split_read_test.cc
      - strtonum_test.cc
      - csv_parser_test.cc
      - logging_test.cc
      - README.md
      - stream_read_test.cc
      - iostream_test.cc
      - dmlc_test.mk
      - .gitignore
      - dataiter_test.cc
      - registry_test.cc
      - unittest
        unittest_parser.cc
        dmlc_unittest.mk
        unittest_array_view.cc
        unittest_threaditer.cc
        unittest_config.cc
        unittest_main.cc
        unittest_optional.cc
        unittest_param.cc
        unittest_threaditer_exc_handling.cc
        unittest_env.cc
        unittest_any.cc
        unittest_logging.cc
        CMakeLists.txt
        unittest_inputsplit.cc
        unittest_lockfree.cc
        unittest_json.cc
        unittest_thread_group.cc
        build_config.h.in
        unittest_serializer.cc
        .gitignore
        unittest_tempdir.cc
    - appveyor.yml
    - .editorconfig
    - windows
      - dmlc.sln
      - README.md
      - .gitignore
      - dmlc
        dmlc.vcxproj
    - example
      - parameter.cc
      - dmlc_example.mk
    - CMakeLists.txt
    - .travis.yml
    - README.md
    - scripts
      - lint.py
      - travis
        travis_setup_env.sh
        travis_osx_install.sh
        travis_script.sh
        travis_before_cache.sh
      - packages.mk
      - setup_nvcc.sh
    - test.py
    - doc
      - Makefile
      - Doxyfile
      - index.md
      - README
      - sphinx_util.py
      - parameter.md
      - conf.py
      - .gitignore
  - onnx-tensorrt
- .gitmodules
- perl-package
  - AI-MXNet-Gluon-ModelZoo
    - META.yml
    - examples
      - image_classification.pl
    - META.json
    - Changes
    - MANIFEST
    - README
    - lib
      - AI
        MXNet
        Gluon
        ModelZoo.pm
        ModelZoo
        ModelStore.pm
        Vision.pm
        Vision
        AlexNet.pm
        MobileNet.pm
        DenseNet.pm
        SqueezeNet.pm
        VGG.pm
        Inception.pm
        ResNet.pm
    - Makefile.PL
    - t
      - test_gluon_model_zoo.t
      - AI-MXNet-Gluon-ModelZoo.t
  - AI-MXNetCAPI
    - META.yml
    - META.json
    - Changes
    - MANIFEST
    - mxnet_typemaps.i
    - README
    - lib
      - AI
        MXNetCAPI.pm
    - Makefile.PL
    - mxnet.i
    - t
      - AI-MXNetCAPI.t
  - test.sh
  - AI-MXNet-Gluon-Contrib
    - META.yml
    - META.json
    - Changes
    - MANIFEST
    - README
    - lib
      - AI
        MXNet
        Gluon
        Contrib
        NN
        BasicLayers.pm
        Contrib.pm
    - Makefile.PL
    - t
      - AI-MXNet-Gluon-Contrib.t
  - README.md
  - AI-NNVMCAPI
    - META.yml
    - META.json
    - Changes
    - MANIFEST
    - README
    - lib
      - AI
        NNVMCAPI.pm
    - nnvm.i
    - Makefile.PL
    - nnvm_typemaps.i
    - t
      - AI-NNVMCAPI.t
  - .gitignore
  - AI-MXNet
    - META.yml
    - examples
      - sparse
        matrix_factorization
        train.pl
        get_data.sh
        README.md
        wide_deep
        train.pl
        get_data.sh
        README.md
      - gluon
        mnist.pl
        dcgan.pl
        style_transfer
        style_transfer.pl
        utils.pl
        net.pl
        get_data.sh
        README.md
      - char_lstm.pl
      - mnist.pl
      - calculator.pl
      - plot_network.pl
      - cudnn_lstm_bucketing.pl
      - lstm_bucketing.pl
      - get_sherlockholmes_data.sh
    - META.json
    - Changes
    - MANIFEST
    - README
    - lib
      - AI
        MXNet.pm
        MXNet
        Contrib
        NDArray.pm
        Symbol.pm
        IO.pm
        Visualization.pm
        Executor
        Group.pm
        RecordIO.pm
        Logging.pm
        Contrib.pm
        Profiler.pm
        TestUtils.pm
        Util
        Printable.pm
        KVStore.pm
        Symbol
        AttrScope.pm
        Random.pm
        Sparse.pm
        Base.pm
        NameManager.pm
        Doc.pm
        Initializer.pm
        Gluon
        Block.pm
        Trainer.pm
        NN
        ConvLayers.pm
        BasicLayers.pm
        Activation.pm
        Data.pm
        NN.pm
        Parameter.pm
        Data
        Set.pm
        Loader.pm
        Sampler.pm
        Vision.pm
        Mouse.pm
        Loss.pm
        Utils.pm
        RNN
        Cell.pm
        Layer.pm
        RNN.pm
        Metric.pm
        LinAlg
        NDArray.pm
        Symbol.pm
        Random.pm
        LRScheduler.pm
        Image
        NDArray.pm
        Symbol.pm
        LinAlg.pm
        Gluon.pm
        CachedOp.pm
        NDArray.pm
        NDArray
        Slice.pm
        Sparse.pm
        Base.pm
        Doc.pm
        Function
        Parameters.pm
        AutoGrad.pm
        AutoLoad.pm
        Image.pm
        Context.pm
        Module.pm
        Base.pm
        Types.pm
        Symbol.pm
        Module
        Bucketing.pm
        Base.pm
        Optimizer.pm
        KVStoreServer.pm
        CudaModule.pm
        RNN
        IO.pm
        Cell.pm
        Executor.pm
        Callback.pm
        Monitor.pm
        Engine.pm
        RNN.pm
    - Makefile.PL
    - t
      - test_module.t
      - test_autograd.t
      - test_executor.t
      - test_gluon_data.t
      - test_init.t
      - test_metric.t
      - test_kvstore.t
      - test_gluon_rnn.t
      - test_loss.t
      - test_base.t
      - test_symbol.t
      - test_conv.t
      - test_engine.t
      - test_gluon.t
      - test_random.t
      - test_sparse_ndarray.t
      - test_model_parallel.t
      - test_infer_shape.t
      - AI-MXNet.t
      - test_attr.t
      - test_viz.t
      - test_gluon_trainer.t
      - test_rnn.t
      - test_io_image.t
      - test_ndarray.t
      - test_multi_device_exec.t
      - test_io.t
      - test_recordio.t
      - test_optimizers.t
      - test_cuda_module.t
- amalgamation
  - Makefile
  - mxnet_predict0.cc
  - jni
    - org_dmlc_mxnet_Predictor.h
    - predictor.cc
    - org
      - dmlc
        mxnet
        MxnetException.java
        Predictor.java
  - dmlc-minimum0.cc
  - amalgamation.py
  - python
    - mxnet_predict.py
  - prep_nnvm.sh
  - README.md
  - .gitignore
- LICENSE
- appveyor.yml
- CONTRIBUTING.md
- prepare-data.py
- scala-package
  - scalastyle-config.xml
  - init
    - src
      - main
        scala
        org
        apache
        mxnet
        init
        Base.scala
        LibInfo.scala
    - pom.xml
  - examples
    - src
      - main
        resources
        log4j.properties
        scala
        org
        apache
        mxnetexamples
        neuralstyle
        NeuralStyle.scala
        ModelVgg19.scala
        end2end
        Basic.scala
        GenV4.scala
        BoostTrain.scala
        Module.scala
        DataProcessing.scala
        BoostInference.scala
        GenV3.scala
        README.md
        profiler
        ProfilerNDArray.scala
        ProfilerMatMul.scala
        multitask
        Data.scala
        ExampleMultiTask.scala
        InferBase.scala
        cnntextclassification
        CNNTextClassification.scala
        README.md
        DataHelper.scala
        module
        MnistMlp.scala
        SequentialModuleEx.scala
        imclassification
        datasets
        MnistIter.scala
        SyntheticDataIter.scala
        models
        Lenet.scala
        MultiLayerPerceptron.scala
        Resnet.scala
        util
        Trainer.scala
        TrainModel.scala
        README.md
        gan
        Viz.scala
        Module.scala
        README.md
        GanMnist.scala
        rnn
        TrainCharRnn.scala
        Utils.scala
        RnnModel.scala
        README.md
        BucketIo.scala
        Lstm.scala
        TestCharRnn.scala
        LstmBucketing.scala
        visualization
        Inception_BN.scala
        LeNet.scala
        VGG.scala
        ExampleVis.scala
        GoogleNet.scala
        ResNet_Small.scala
        AlexNet.scala
        Inception_V3.scala
        Util.scala
        customop
        ExampleCustomOpWithRtc.scala
        README.md
        ExampleCustomOp.scala
        Data.scala
        infer
        imageclassifier
        README.md
        ImageClassifierExample.scala
        objectdetector
        SSDClassifierExample.scala
        README.md
        benchmark
        README.md
        ScalaInferenceBenchmark.scala
      - test
        resources
        log4j.properties
        scala
        org
        apache
        mxnetexamples
        neuralstyle
        NeuralStyleSuite.scala
        profiler
        ProfilerSuite.scala
        multitask
        MultiTaskSuite.scala
        cnntextclassification
        CNNClassifierExampleSuite.scala
        imclassification
        IMClassificationExampleSuite.scala
        gan
        GanExampleSuite.scala
        rnn
        ExampleRNNSuite.scala
        customop
        CustomOpExampleSuite.scala
        infer
        imageclassifier
        ImageClassifierExampleSuite.scala
        objectdetector
        ObjectDetectorExampleSuite.scala
        benchmark
        ScalaInferenceBenchmarkSuite.scala
    - pom.xml
    - scripts
      - run_multitask.sh
      - profiler
        run_profiler_ndarray.sh
        run_profiler_matmul.sh
      - module
        run_sequential_module.sh
        mnist_mlp.sh
      - run_gan_mnist.sh
      - run_visualization.sh
      - run_cnntextclassification.sh
      - neuralstyle_end2end
        run_train_end2end.sh
        run_test_end2end.sh
      - rnn
        run_train_charrnn.sh
        run_test_charrnn.sh
        run_lstm_bucketing.sh
      - customop
        run_customopwithrtc.sh
        run_customop.sh
      - infer
        imageclassifier
        run_classifier_example.sh
        get_resnet_data.sh
        get_resnet_18_data.sh
        objectdetector
        get_ssd_data.sh
        run_ssd_example.sh
      - benchmark
        run_text_charrnn_bm.sh
        run_image_inference_bm.sh
      - run_neuralstyle.sh
  - pom.xml
  - LICENSE
  - spark
    - src
      - main
        scala
        org
        apache
        mxnet
        spark
        ParameterServer.scala
        utils
        Network.scala
        RepIterator.scala
        Img2Vector.scala
        MXNDArray.scala
        transformer
        MXNet.scala
        MXNet.scala
        MXNetModel.scala
        example
        ClassificationExample.scala
        io
        PointIter.scala
        LabeledPointIter.scala
        LongLivingDataBatch.scala
        MXNetParams.scala
      - test
        scala
        org
        apache
        mxnet
        spark
        SharedSparkContext.scala
        MXNetGeneralSuite.scala
    - pom.xml
    - README.md
    - bin
      - run-mnist-example.sh
  - dev
    - change-proj-version.sh
    - change-artifact-id.sh
    - compile-mxnet-backend.sh
    - change-scala-version.sh
  - README.md
  - native
    - src
      - main
        native
        org_apache_mxnet_native_c_api.cc
        jni_helper_func.h
    - linux-x86_64-cpu
      - pom.xml
    - pom.xml
    - linux-x86_64-gpu
      - pom.xml
    - osx-x86_64-cpu
      - pom.xml
  - assembly
    - src
      - javadoc.xml
      - source.xml
    - linux-x86_64-cpu
      - src
        main
        assembly
        assembly.xml
      - pom.xml
    - pom.xml
    - linux-x86_64-gpu
      - src
        main
        assembly
        assembly.xml
      - pom.xml
    - osx-x86_64-cpu
      - src
        main
        assembly
        assembly.xml
      - main
        assembly
        assembly.xml
      - pom.xml
  - core
    - src
      - main
        scala
        org
        apache
        mxnet
        Serializer.scala
        ExecutorManager.scala
        Random.scala
        Visualization.scala
        NDArrayAPI.scala
        Model.scala
        RecordIO.scala
        Operator.scala
        EvalMetric.scala
        Layout.scala
        AttrScope.scala
        Optimizer.scala
        Base.scala
        Initializer.scala
        Context.scala
        Profiler.scala
        DType.scala
        module
        SequentialModule.scala
        DataParallelExecutorGroup.scala
        Module.scala
        BucketingModule.scala
        BaseModule.scala
        util
        WarnIfNotDisposed.scala
        NativeLibraryLoader.scala
        SerializerUtils.scala
        Executor.scala
        LRScheduler.scala
        Shape.scala
        optimizer
        SGLD.scala
        RMSProp.scala
        AdaGrad.scala
        SGD.scala
        NAG.scala
        DCASGD.scala
        Adam.scala
        AdaDelta.scala
        NDArrayCollector.scala
        NDArray.scala
        Symbol.scala
        Callback.scala
        IO.scala
        KVStoreServer.scala
        io
        MXDataIter.scala
        NDArrayIter.scala
        ResizeIter.scala
        PrefetchingIter.scala
        SymbolAPI.scala
        annotation
        Experimental.scala
        Monitor.scala
        LibInfo.scala
        javaapi
        Context.scala
        DType.scala
        Shape.scala
        IO.scala
        Rtc.scala
        contrib
        NDArray.scala
        Symbol.scala
        KVStore.scala
        NameManager.scala
        FeedForward.scala
      - test
        resources
        log4j.properties
        scala
        org
        apache
        mxnet
        ModelParallelSuite.scala
        SerializerSuite.scala
        SymbolSuite.scala
        CheckUtils.scala
        RandomSuite.scala
        util
        WarnIfNotDiposedSuite.scala
        SerializerUtilsSuite.scala
        NDArrayCollectorSuite.scala
        ExecutorSuite.scala
        KVStoreSuite.scala
        TestUtil.scala
        ShapeSuite.scala
        train
        ConvSuite.scala
        RecordIOSuite.scala
        IOSuite.scala
        gpu
        RtcSuite.scala
        NDArraySuite.scala
        AttrScopeSuite.scala
        ModuleSuite.scala
        OperatorSuite.scala
        java
        org
        apache
        mxnet
        javaapi
        ContextTest.java
        ShapeTest.java
        IOTest.java
        DTypeTest.java
    - pom.xml
    - scripts
      - get_cifar_data.sh
      - get_mnist_data.sh
  - mxnet-demo
    - src
      - main
        scala
        sample
        ImageClassificationExample.scala
        HelloWorld.scala
    - Makefile
    - pom.xml
    - README.md
    - bin
      - run_im.sh
      - demo.sh
  - init-native
    - src
      - main
        native
        org_apache_mxnet_init_native_c_api.cc
    - linux-x86_64
      - pom.xml
    - osx-x86_64
      - pom.xml
    - pom.xml
  - infer
    - src
      - main
        scala
        org
        apache
        mxnet
        infer
        MXNetHandler.scala
        Classifier.scala
        Predictor.scala
        package.scala
        ObjectDetector.scala
        ImageClassifier.scala
      - test
        resources
        log4j.properties
        scala
        org
        apache
        mxnet
        infer
        ImageClassifierSuite.scala
        PredictorSuite.scala
        ObjectDetectorSuite.scala
        ClassifierSuite.scala
    - pom.xml
  - macros
    - src
      - main
        scala
        org
        apache
        mxnet
        utils
        OperatorBuildUtils.scala
        CToScalaUtils.scala
        APIDocGenerator.scala
        SymbolMacro.scala
        NDArrayMacro.scala
      - test
        resources
        log4j.properties
        scala
        org
        apache
        mxnet
        MacrosSuite.scala
    - pom.xml
- MKLDNN_README.md
- mkldnn.mk
- docker
  - tool.sh
  - Dockerfiles
    - Dockerfile.in.lib.cpu
    - License.md
    - Dockerfile.in.perl
    - Dockerfile.in.scala
    - Dockerfile.in.lib.gpu
    - Dockerfile.in.r-lang
    - Dockerfile.in.julia
    - Dockerfile.in.python
  - run.sh
  - install
    - perl.sh
    - julia.sh
    - r.sh
    - cpp.sh
    - python.sh
    - scala.sh
  - README.md
  - docker-python
    - test_mxnet.py
    - README.md
    - build_python_dockerfile.sh
  - .gitignore
- snap.python
- NEWS.md
- python
  - mxnet
    - executor_manager.py
    - lr_scheduler.py
    - log.py
    - misc.py
    - metric.py
    - engine.py
    - test_utils.py
    - util.py
    - gluon
      - loss.py
      - nn
        activations.py
        __init__.py
        basic_layers.py
        conv_layers.py
      - block.py
      - data
        sampler.py
        dataloader.py
        __init__.py
        dataset.py
        vision
        datasets.py
        __init__.py
        transforms.py
      - rnn
        rnn_layer.py
        rnn_cell.py
        __init__.py
      - __init__.py
      - utils.py
      - parameter.py
      - trainer.py
      - model_zoo
        __init__.py
        model_store.py
        vision
        vgg.py
        alexnet.py
        mobilenet.py
        squeezenet.py
        resnet.py
        densenet.py
        __init__.py
        inception.py
      - .gitignore
      - contrib
        nn
        __init__.py
        basic_layers.py
        data
        sampler.py
        text.py
        __init__.py
        _constants.py
        rnn
        rnn_cell.py
        __init__.py
        conv_rnn_cell.py
        __init__.py
    - cython
      - symbol.pyx
      - ndarray.pyx
      - base.pyi
    - kvstore_server.py
    - monitor.py
    - ndarray
      - image.py
      - ndarray.py
      - random.py
      - op.py
      - linalg.py
      - register.py
      - _internal.py
      - __init__.py
      - utils.py
      - sparse.py
      - contrib.py
    - libinfo.py
    - random.py
    - rtc.py
    - executor.py
    - module
      - executor_group.py
      - module.py
      - sequential_module.py
      - python_module.py
      - bucketing_module.py
      - __init__.py
      - base_data_iterator.py
      - base_module.py
    - torch.py
    - kvstore.py
    - ndarray_doc.py
    - profiler.py
    - optimizer
      - optimizer.py
      - __init__.py
      - contrib.py
    - model.py
    - _cy3
      - README
      - __init__.py
    - registry.py
    - operator.py
    - symbol
      - image.py
      - random.py
      - symbol.py
      - op.py
      - linalg.py
      - register.py
      - _internal.py
      - __init__.py
      - sparse.py
      - contrib.py
    - notebook
      - callback.py
      - __init__.py
    - callback.py
    - io
      - io.py
      - __init__.py
      - utils.py
    - attribute.py
    - rnn
      - rnn_cell.py
      - io.py
      - __init__.py
      - rnn.py
    - __init__.py
    - visualization.py
    - autograd.py
    - initializer.py
    - _ctypes
      - ndarray.py
      - symbol.py
      - __init__.py
    - symbol_doc.py
    - name.py
    - context.py
    - _cy2
      - README
      - __init__.py
    - image
      - detection.py
      - image.py
      - __init__.py
    - recordio.py
    - contrib
      - tensorboard.py
      - quantization.py
      - ndarray.py
      - onnx
        mx2onnx
        _op_translations.py
        LICENSE
        export_onnx.py
        __init__.py
        _export_helper.py
        export_model.py
        __init__.py
        onnx2mx
        import_to_gluon.py
        _op_translations.py
        import_model.py
        _import_helper.py
        import_onnx.py
        _translation_utils.py
        __init__.py
      - symbol.py
      - tensorrt.py
      - svrg_optimization
        svrg_optimizer.py
        __init__.py
        svrg_module.py
      - io.py
      - __init__.py
      - autograd.py
      - text
        embedding.py
        __init__.py
        utils.py
        _constants.py
        vocab.py
    - base.py
  - setup.py
  - README.md
  - minpy
    - README.md
  - .gitignore
- DISCLAIMER
- plot.gv
- example
  - recommenders
    - demo2-binary.ipynb
    - demo1-MF2-fancy.ipynb
    - recotools.py
    - crossentropy.py
    - negativesample.py
    - demo-MF.R
    - demo1-MF.ipynb
    - movielens_data.py
    - demo3-dssm.ipynb
    - README.md
    - randomproj.py
    - .gitignore
    - matrix_fact.py
    - symbol_alexnet.py
  - stochastic-depth
    - sd_mnist.py
    - sd_cifar10.py
    - README.md
    - sd_module.py
  - fcn-xs
    - data.py
    - solver.py
    - image_segmentaion.py
    - run_fcnxs.sh
    - init_fcnxs.py
    - README.md
    - fcn_xs.py
    - symbol_fcnxs.py
  - captcha
    - README.md
    - mxnet_captcha.R
  - sparse
    - matrix_factorization
      - data.py
      - model.py
      - train.py
      - README.md
    - wide_deep
      - data.py
      - model.py
      - train.py
      - README.md
    - linear_classification
      - data.py
      - linear_model.py
      - weighted_softmax_ce.py
      - train.py
      - README.md
    - factorization_machine
      - metric.py
      - model.py
      - train.py
      - README.md
  - named_entity_recognition
    - src
      - preprocess.py
      - ner.py
      - metrics.py
      - iterators.py
    - README.md
  - gluon
    - data.py
    - kaggle_k_fold_cross_validation.py
    - mnist.py
    - dcgan.py
    - sn_gan
      - data.py
      - model.py
      - train.py
      - README.md
      - utils.py
    - lstm_crf.py
    - word_language_model
      - model.py
      - train.py
      - README.md
    - actor_critic.py
    - tree_lstm
      - LICENSE
      - tree_lstm.py
      - fetch_and_preprocess.sh
      - main.py
      - scripts
        download.py
        preprocess-sick.py
      - dataset.py
    - super_resolution.py
    - learning_rate_manipulation.py
    - image_classification.py
    - style_transfer
      - data.py
      - dataset
        download_dataset.py
      - option.py
      - models
        download_model.py
      - net.py
      - main.py
      - README.md
      - utils.py
      - download_images.py
    - embedding_learning
      - data.py
      - get_cub200_data.sh
      - model.py
      - train.py
      - README.md
  - bi-lstm-sort
    - rnn_model.py
    - gen_data.py
    - sort_io.py
    - infer_sort.py
    - lstm_sort.py
    - lstm.py
    - README.md
  - distributed_training
    - cifar10_dist.py
    - README.md
  - utils
    - __init__.py
    - get_data.py
  - autoencoder
    - data.py
    - solver.py
    - mnist_sae.py
    - model.py
    - README.md
    - autoencoder.py
  - dynamic-training
    - train_resnet.py
    - run.sh
    - prepare-data.py
  - rcnn
    - symimdb
      - coco.py
      - imdb.py
      - __init__.py
      - pascal_voc.py
    - symdata
      - image.py
      - anchor.py
      - vis.py
      - bbox.py
      - __init__.py
      - loader.py
    - symnet
      - metric.py
      - proposal_target.py
      - symbol_vgg.py
      - model.py
      - logger.py
      - __init__.py
      - symbol_resnet.py
    - LICENSE
    - demo.py
    - train.py
    - README.md
    - test.py
  - mxnet_adversarial_vae
    - convert_data.py
    - vaegan_mxnet.py
    - README.md
  - capsnet
    - capsulelayers.py
    - result.PNG
    - capsulenet.py
    - README.md
  - adversary
    - adversary_generation.ipynb
    - README.md
  - profiler
    - profiler_executor.py
    - profiler_matmul.py
    - profiler_ndarray.py
    - profiler_imageiter.py
    - README.md
  - multi-task
    - example_multi_task.py
    - README.md
  - rnn-time-major
    - bucket_io.py
    - get_sherlockholmes_data.sh
    - readme.md
    - rnn_cell_demo.py
  - nce-loss
    - lstm_net.py
    - get_text8.sh
    - text8_data.py
    - wordvec_net.py
    - wordvec_subwords.py
    - README.md
    - random_data.py
    - wordvec.py
    - lstm_word.py
    - toy_nce.py
    - nce.py
    - toy_softmax.py
  - onnx
    - super_resolution.py
  - quantization
    - imagenet_gen_qsym_mkldnn.py
    - imagenet_inference.py
    - common
      - data.py
      - util.py
      - modelzoo.py
      - find_mxnet.py
      - __init__.py
      - fit.py
    - launch_inference.sh
    - imagenet_gen_qsym.py
    - README.md
    - launch_quantize.sh
  - memcost
    - Makefile
    - inception_memcost.py
    - README.md
  - image-classification
    - symbol_alexnet.R
    - train_imagenet.py
    - train_cifar10.py
    - train_cifar10.R
    - symbol_inception-bn-28-small.R
    - common
      - data.py
      - util.py
      - modelzoo.py
      - find_mxnet.py
      - __init__.py
      - fit.py
    - fine-tune.py
    - train_imagenet.R
    - train_mnist.R
    - symbol_googlenet.R
    - symbol_lenet.R
    - test_score.py
    - train_mnist.py
    - score.py
    - train_model.R
    - __init__.py
    - README.md
    - symbol_resnet-28-small.R
    - symbol_inception-resnet-v1.R
    - symbol_inception-resnet-v2.R
    - benchmark_score.py
    - symbol_mlp.R
    - symbol_resnet.R
    - benchmark.py
    - symbols
      - inception-v3.py
      - inception-resnet-v2.py
      - vgg.py
      - alexnet.py
      - lenet.py
      - inception-v4.py
      - resnet-v1.py
      - mobilenet.py
      - mobilenetv2.py
      - inception-bn.py
      - resnet.py
      - googlenet.py
      - __init__.py
      - README.md
      - mlp.py
      - resnetv1.py
      - resnext.py
    - symbol_resnet-v2.R
    - predict-cpp
      - Makefile
      - image-classification-predict.cc
      - CMakeLists.txt
      - README.md
    - symbol_inception-bn.R
    - symbol_vgg.R
  - svrg_module
    - linear_regression
      - data_reader.py
      - train.py
      - common.py
    - benchmarks
    - README.md
    - api_usage_example
      - example_inference.py
      - example_api_train.py
  - module
    - mnist_mlp.py
    - sequential_module.py
    - python_loss.py
    - README.md
  - kaggle-ndsb2
    - Train.py
    - Preprocessing.py
    - Train.R
    - README.md
  - dsd
    - README.md
    - mlp.py
    - sparse_sgd.py
  - svm_mnist
    - svm_mnist.py
    - README.md
  - kaggle-ndsb1
    - predict_dsb.py
    - symbol_dsb.py
    - gen_img_list.py
    - train_dsb.py
    - training_curves.py
    - README.md
    - submission_dsb.py
  - python-howto
    - debug_conv.py
    - monitor_weights.py
    - README.md
    - data_iter.py
    - multiple_outputs.py
  - notebooks
    - README.md
  - numpy-ops
    - weighted_logistic_regression.py
    - numpy_softmax.py
    - custom_softmax.py
    - custom_softmax_rtc.py
    - custom_sparse_sqr.py
    - README.md
  - reinforcement-learning
    - parallel_actor_critic
      - config.py
      - model.py
      - train.py
      - README.md
      - envs.py
    - ddpg
      - run.py
      - ddpg.py
      - qfuncs.py
      - policies.py
      - strategies.py
      - README.md
      - utils.py
      - replay_mem.py
    - a3c
      - launcher.py
      - a3c.py
      - README.md
      - sym.py
      - rl_data.py
    - dqn
      - replay_memory.py
      - atari_game.py
      - dqn_run_test.py
      - game.py
      - dqn_demo.py
      - README.md
      - utils.py
      - operators.py
      - base.py
      - setup.sh
  - bayesian-methods
    - bdk_demo.py
    - bdk.ipynb
    - sgld.ipynb
    - data_loader.py
    - algos.py
    - README.md
    - utils.py
  - vae
    - VAE.py
    - VAE_example.ipynb
    - README.md
  - ctc
    - ocr_iter.py
    - ocr_predict.py
    - lstm_ocr_train.py
    - lstm_ocr_infer.py
    - multiproc_data.py
    - ctc_metrics.py
    - lstm.py
    - hyperparams.py
    - README.md
    - captcha_generator.py
  - gan
    - CGAN_mnist_R
      - iterators.R
      - CGAN_train.R
  - restricted-boltzmann-machine
    - binary_rbm_module.py
    - binary_rbm.py
    - README.md
    - binary_rbm_gluon.py
  - speech_recognition
    - stt_bi_graphemes_util.py
    - resources
      - unicodemap_en_baidu.csv
    - stt_bucketing_module.py
    - default.cfg
    - stt_layer_gru.py
    - stt_layer_conv.py
    - config_util.py
    - stt_io_iter.py
    - deepspeech.cfg
    - stt_metric.py
    - stt_datagenerator.py
    - stt_utils.py
    - stt_io_bucketingiter.py
    - stt_layer_slice.py
    - arch_deepspeech.py
    - stt_layer_fc.py
    - log_util.py
    - flac_to_wav.sh
    - train.py
    - main.py
    - README.md
    - stt_layer_batchnorm.py
    - singleton.py
    - label_util.py
    - stt_layer_warpctc.py
    - stt_layer_lstm.py
  - rnn
    - word_lm
      - module.py
      - data.py
      - model.py
      - train.py
      - README.md
      - get_sherlockholmes_data.sh
    - bucket_R
      - aclImdb_lstm_classification.R
      - data_preprocessing_seq_to_one.R
    - old
      - rnn_model.py
      - char-rnn.ipynb
      - gru_bucketing.py
      - lstm.py
      - bucket_io.py
      - lstm_bucketing.py
      - README.md
      - get_sherlockholmes_data.sh
      - lstm_sherlockholmes.R
      - rnn.py
      - gru.py
      - rnn_cell_demo.py
    - README.md
    - bucketing
      - cudnn_rnn_bucketing.py
      - lstm_bucketing.py
      - README.md
      - get_sherlockholmes_data.sh
    - large_word_lm
      - LogUniformGenerator.cc
      - data.py
      - log_uniform.pyx
      - sampler.py
      - Makefile
      - run_utils.py
      - setup.py
      - model.py
      - train.py
      - get_vocab_file.sh
      - readme.md
      - custom_module.py
      - LogUniformGenerator.h
  - README.md
  - deep-embedded-clustering
    - data.py
    - solver.py
    - model.py
    - README.md
    - dec.py
    - autoencoder.py
  - cnn_chinese_text_classification
    - text_cnn.py
    - README.md
    - data_helpers.py
  - multivariate_time_series
    - src
      - metrics.py
      - lstnet.py
    - README.md
    - docs
  - cnn_text_classification
    - text_cnn.py
    - README.md
    - data_helpers.py
    - .gitignore
  - ssd
    - evaluate
      - evaluate_net.py
      - eval_metric.py
      - __init__.py
      - eval_voc.py
    - detect
      - detector.py
      - __init__.py
    - evaluate.py
    - init.sh
    - deploy.py
    - dataset
      - names
        pascal_voc.names
        mscoco.names
      - imdb.py
      - iterator.py
      - cv2Iterator.py
      - mscoco.py
      - yolo_format.py
      - pycocotools
        coco.py
        __init__.py
        README.md
      - testdb.py
      - __init__.py
      - concat_db.py
      - pascal_voc.py
    - demo.py
    - config
      - config.py
      - __init__.py
      - utils.py
    - symbol
      - vgg16_reduced.py
      - legacy_vgg16_ssd_512.py
      - legacy_vgg16_ssd_300.py
      - symbol_factory.py
      - inceptionv3.py
      - resnet.py
      - common.py
      - __init__.py
      - README.md
      - symbol_builder.py
    - train.py
    - __init__.py
    - README.md
    - tools
      - prepare_dataset.py
      - rand_sampler.py
      - find_mxnet.py
      - caffe_converter
        make_win32.bat
        convert_mean.py
        Makefile
        convert_symbol.py
        mean_image.py
        caffe_parser.py
        compare_layers.py
        caffe_parse
        parse_from_protobuf.py
        README.md
        caffe_proto_utils.py
        caffe.proto
        .gitignore
        convert_model.py
      - prepare_pascal.sh
      - visualize_net.py
      - __init__.py
      - prepare_coco.sh
    - benchmark_score.py
    - train
      - metric.py
      - train_net.py
      - __init__.py
  - MXNetTutorialTemplate.ipynb
  - model-parallel
    - matrix_factorization
      - model.py
      - train.py
      - README.md
      - get_data.py
  - neural-style
    - nstyle.py
    - find_mxnet.py
    - model_vgg19.py
    - end_to_end
      - data_processing.py
      - basic.py
      - gen_v4.py
      - model_vgg19.py
      - gen_v3.py
      - boost_train.py
      - README.md
      - boost_inference.py
    - README.md
    - .gitignore
    - download.sh
  - cnn_visualization
    - vgg.py
    - gradcam.py
    - README.md
    - gradcam_demo.py
  - caffe
    - data.py
    - train_model.py
    - README.md
    - caffe_net.py
- snapcraft.yaml
- CMakeLists.txt
- .travis.yml
- README.md
- tests
  - cpp
    - include
      - test_op.h
      - test_tune.h
      - test_perf.h
      - test_util.h
      - test_ndarray_utils.h
      - test_op_runner.h
      - test_core_op.h
      - test_legacy_op.h
    - storage
      - storage_test.cc
    - unittest.mk
    - operator
      - fully_conn_perf.cc
      - mkldnn.cc
      - tune
        operator_tune_test.cc
      - activation_perf.cc
      - coreop_perf.cc
      - runner
        core_op_runner_test.cc
      - slice_channel_perf.cc
      - krprod_test.cc
      - batchnorm_test.cc
      - dropout_perf.cc
    - misc
      - serialization.cc
      - base.cc
    - engine
      - threaded_engine_test.cc
    - kvstore
      - gpu_topology_test.cc
    - .gitignore
    - test_main.cc
  - utils
    - notebook_test
      - __init__.py
  - nightly
    - model_backwards_compatibility_check
      - upload_models_to_s3.sh
      - train_mxnet_legacy_models.sh
      - model_backward_compat_checker.sh
      - model_backwards_compat_train.py
      - common.py
      - README.md
      - JenkinsfileForMBCC
      - model_backwards_compat_inference.py
    - TestDoc
      - doc_spell_grammar.sh
      - doc_spell_checker.py
    - test_image_classification.sh
    - test_all.sh
    - test_large_array.py
    - test_server_profiling.py
    - dist_async_kvstore.py
    - broken_link_checker_test
      - test_broken_links.py
      - README.md
      - broken_link_checker.sh
      - JenkinsfileForBLC
    - multi_lenet.py
    - test_tlocal_racecondition.py
    - apache_rat_license_check
      - README.md
      - rat-excludes
    - straight_dope
      - test_notebooks_single_gpu.py
      - test_notebooks_multi_gpu.py
      - README.md
      - straight_dope_test_utils.py
    - JenkinsfileForBinaries
    - dist_lenet.py
    - README.md
    - compilation_warnings
      - compilation_warnings.sh
      - process_output.py
    - dist_sync_kvstore.py
    - .gitignore
    - Jenkinsfile
    - sh2ju.sh
    - dist_device_sync_kvstore.py
    - test_kvstore.py
    - download.sh
  - python-pytest
    - onnx
      - import
        mxnet_backend_rep.py
        gluon_backend_test.py
        mxnet_backend_test.py
        onnx_import_test.py
        test_cases.py
        mxnet_backend.py
        gluon_backend.py
        gluon_backend_rep.py
      - export
        onnx_backend_test.py
        backend.py
        mxnet_export_test.py
        backend_rep.py
  - tutorials
    - test_sanity_tutorials.py
    - test_tutorials.py
  - python
    - mkl
      - test_quantization_mkldnn.py
      - test_mkldnn.py
      - test_mkldnn_install.py
      - test_subgraph.py
    - quantization
      - common.py
      - test_quantization.py
    - common
      - models.py
    - quantization_gpu
      - test_quantization_gpu.py
    - doctest
      - test_docstring.py
    - predict
      - mxnet_predict_example.py
    - README.md
    - train
      - test_autograd.py
      - test_sparse_fm.py
      - test_resnet_aug.py
      - test_conv.py
      - test_bucketing.py
      - common.py
      - test_mlp.py
      - test_dtype.py
    - gpu
      - test_tvm_bridge.py
      - test_kvstore_gpu.py
      - test_rtc.py
      - test_gluon_gpu.py
      - test_nccl.py
      - test_device.py
      - test_operator_gpu.py
      - test_gluon_model_zoo_gpu.py
      - test_forward.py
    - unittest
      - test_predictor.py
      - test_model_parallel.py
      - test_gluon.py
      - test_optimizer.py
      - test_profiler.py
      - test_base.py
      - test_multi_device_exec.py
      - test_attr.py
      - test_contrib_optimizer.py
      - test_test_utils.py
      - test_random.py
      - test_autograd.py
      - test_ndarray.py
      - legacy_ndarray.v0
      - test_infer_shape.py
      - test_infer_type.py
      - test_io.py
      - test_sparse_ndarray.py
      - test_loss.py
      - test_metric_perf.py
      - test_viz.py
      - test_module.py
      - test_image.py
      - test_thread_local.py
      - test_contrib_svrg_module.py
      - test_gluon_data.py
      - test_gluon_data_vision.py
      - test_metric.py
      - test_init.py
      - test_gluon_utils.py
      - test_contrib_io.py
      - test_sparse_operator.py
      - test_exc_handling.py
      - test_rnn.py
      - test_gluon_rnn.py
      - test_symbol.py
      - test_gluon_model_zoo.py
      - test_engine.py
      - test_executor.py
      - common.py
      - test_recordio.py
      - test_subgraph.py
      - test_contrib_text.py
      - test_contrib_control_flow.py
      - test_gluon_trainer.py
      - test_contrib_krprod.py
      - test_gluon_contrib.py
      - test_contrib_autograd.py
      - test_subgraph_op.py
      - test_engine_import.py
      - test_contrib_svrg_optimizer.py
      - test_kvstore.py
      - test_contrib_operator.py
    - tensorrt
      - test_cvnets.py
      - lenet5_train.py
      - lenet5_common.py
      - test_tensorrt_lenet5.py
      - common.py
      - test_cycle.py
      - test_training_warning.py
  - jenkins
    - run_test_installation_docs.sh
    - run_as_user.sh
    - set_user_permissions.sh
    - format
    - run_test_ubuntu.sh
    - run_test_pip_installations.sh
    - run_test_amzn_linux_gpu.sh
    - run_test.sh
  - CMakeLists.txt
  - README.md
  - .gitignore
- CODE_OF_CONDUCT.md
- R-package
- KEYS
- tools
  - host1
  - kill-mxnet.py
  - license_header.py
  - coreml
    - mxnet_coreml_converter.py
    - pip_package
      - README.rst
      - setup.py
      - .gitignore
      - MANIFEST.in
    - test
      - test_mxnet_converter.py
      - test_mxnet_image.py
      - test_mxnet_models.py
    - converter
      - _layers.py
      - _mxnet_converter.py
      - _add_pooling.py
      - __init__.py
      - utils.py
    - README.md
  - im2rec.py
  - bandwidth
    - test_measure.py
    - measure.py
    - README.md
    - .gitignore
  - cfn
    - Readme.md
  - accnn
    - accnn.py
    - rank_selection.py
    - README.md
    - utils.py
    - acc_fc.py
    - acc_conv.py
  - pip_package
    - make_pip_package.sh
    - setup.py
    - README.md
    - MANIFEST.in
  - caffe_converter
    - make_win32.bat
    - convert_mean.py
    - Makefile
    - test_converter.py
    - convert_symbol.py
    - caffe_parser.py
    - compare_layers.py
    - run.sh
    - convert_caffe_modelzoo.py
    - README.md
    - caffe_proto_utils.py
    - caffe.proto
    - .gitignore
    - convert_model.py
  - host_worker
  - ipynb2md.py
  - rec2idx.py
  - flakiness_checker.py
  - launch.py
  - caffe_translator
    - src
      - main
        resources
        templates
        lrpolicy_exp.st
        batchnorm.st
        pooling.st
        params_loader.st
        init_params.st
        mul.st
        symbols.stg
        fc.st
        permute.st
        lrpolicy_sigmoid.st
        opt_adadelta.st
        lrpolicy_step.st
        opt_adam.st
        softmaxoutput.st
        var.st
        lrpolicy_inv.st
        metrics_classes.st
        logging.st
        opt_rmsprop.st
        add.st
        lrn.st
        convolution.st
        opt_adagrad.st
        top_k_accuracy.st
        opt_sgd.st
        opt_vars.st
        imports.st
        activation.st
        opt_nesterov.st
        iterator.st
        lrpolicy_multistep.st
        concat.st
        power.st
        deconvolution.st
        runner.st
        accuracy.st
        flatten.st
        dropout.st
        maxium.st
        lrpolicy_poly.st
        group.st
        param_initializer.st
        java
        io
        mxnet
        caffetranslator
        MLModel.java
        Layer.java
        CreateModelListener.java
        Utils.java
        SolverListener.java
        GeneratorOutput.java
        Converter.java
        SymbolGeneratorFactory.java
        Solver.java
        Optimizer.java
        misc
        StatsListener.java
        CollectStats.java
        Launcher.java
        GenerationHelper.java
        Config.java
        ParserHelper.java
        generators
        PluginLayerHelper.java
        PoolingGenerator.java
        ConvolutionGenerator.java
        BatchNormGenerator.java
        ScaleGenerator.java
        SoftmaxOutputGenerator.java
        FlattenGenerator.java
        FCGenerator.java
        PowerGenerator.java
        AccuracyMetricsGenerator.java
        EltwiseGenerator.java
        BaseGenerator.java
        DeconvolutionGenerator.java
        PermuteGenerator.java
        PluginLossGenerator.java
        DropoutGenerator.java
        PluginIntLayerGenerator.java
        ReluGenerator.java
        ConcatGenerator.java
        SymbolGenerator.java
        antlr
        io
        mxnet
        caffetranslator
        CaffePrototxt.g4
    - gradle.properties
    - faq.md
    - gradle
      - wrapper
        gradle-wrapper.properties
    - gradlew.bat
    - gradlew
    - build.gradle
    - README.md
    - scripts
      - convert_caffe_model.py