This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
simplify symbol creator as discussed #22
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
antinucleon
added a commit
that referenced
this pull request
Aug 21, 2015
simplify symbol creator as discussed
yanqingmen
pushed a commit
to yanqingmen/mxnet
that referenced
this pull request
Jan 14, 2016
NDArray finished
Closed
piiswrong
pushed a commit
that referenced
this pull request
Jan 31, 2018
* Remove MKL code. * Use NNVM interface. Use NNVM interface for upsampling. Use NNVM interface for convolution. Use NNVM interface for deconvolution. Use NNVM interface for FullyConnected. Move NNVM interface to batch norm. Use NNVM interface for depthwise convolution. Use NNVM interface for softmax activation. Use NNVM interface for pooling. use NNVM interface for dropout. Use NNVM interface for activation. Use NNVM interface for CuDNN batch norm. Use NNVM interface for CuDNN pooling. Use NNVM interface for CuDNN softmax activation. Use NNVM interface for CuDNN activation. Use NNVM interface for CuDNN convolution. Use NNVM interface for CuDNN deconvolution. Move concat to nn/ Use NNVM interface for concat. Fix headers in concat. Move lrn to nn/. Use NNVM interface for LRN. Fix a compilation error in convolution. Fix a compilation error in activation. Fix coding style. Fix coding style for make lint. use enums in batch norm. Use CoreOpRunner for refactored Ops. Make FullyConnected stateless. Make upsampling stateless. Make pooling stateless. Make batchnorm stateless. Make SoftmaxActivation stateless. Fix a code style problem. pass amalgamation test for batch norm. pass amalgamation test for dropout. Get convolution ops from a function. Fix compilation errors for GPU. Fix thread local in diff platforms. Avoid using thread_local for non-CuDNN conv/deconv. Remove TODO in deconv. Fix a bug in batch norm. Fix a bug in fully connected. Don't set #inputs for backward convolution. * Integrate MKLDNN. Update MXNet for MKLDNN. Enable MKLDNN Relu. Fix a compilation error. Change Makefile for MKLDNN. Remove infer storage in convolution. Update MXNet for MKLDNN. Support MKLDNN storage type in python. Update activation. Add MKLDNN base classes. Implement MKLDNN fully connected. Add MKLDNN convolution. Update MKLDNN interface in NDArray. MKLDNN convolution handle CreateMKLDNNData failure. Add another GetMKLDNNData in NDArray. Have mkldnn to define the data format. Create output MKLDNN memory explicitly for FC. Fix a bug in NDArray. Fix a bug in GetWeightDesc. Convert data layout if necessary in FC. remove unnecessary print in MKLDNN convolution. Add MKLDNN deconvolution. Add MKLDNNStream to manage primitives and memories. Use MKLDNNStream to register memory in NDArray. Use MKLDNNStream to manage resources in operators. Handle kAddTo in MKLDNN operators. Fix a bug in deconvolution. Fix bugs in NDArray. Revert "Fix bugs in NDArray." This reverts commit f5624a4. Fix a bug in NDArray. Fix a bug in NDArray. Reorder MKLDNN memory to default format in SetTBlob. Disable MKLDNN correctly. Fix a bug in activation. Reshape of NDArray supports MKLDNN. Fix a memory ref bug in NDArray. Reshape NDArray in MKLDNN FullyConnected. Fix data format conversion. Create MKLDNN NDArray in python. Support Slice for MKLDNN NDArray. Reduce the overhead of summing the result to the output array. Avoid unnecessary memory copy in NDArray. Fix a bug in data reordering. Fix a bug in NDArray. Don't hard code MKLDNN type. Support dilation in MKLDNN convolution. Fix a bug in sum results. Rewrite GetMKLDNNData. Add prepare_mkldnn.sh Enable MKLDNN activation. Fix a bug on FullyConnected. Handle 3 dims for MKLDNN NDArray. Fix a bug in MKLDNN FC. Support MKLDNN storage in KV store. Fix a bug in executor for non-default NDArray. Fix a link error in cast_storage.cc. Remove unnecessary function def Fall back to def storage if the type isn't supported by MKLDNN. Use NDArray for MKLDNN in python. Reshape output of MKLDNN convolution. Fix a bug in NDArray. Support more operations in MKLDNN NDArray. Fix a bug in deconvolution. Fix bugs in MKLDNN deconvolution. We still need to compute bias correctly. Have elemwise binary ops to fall to default for MKLDNN. Limit the cases that MKLDNN operations are called. Force the layout of mkldnn::memory from NDArray. Add MKLDNN softmax. Fix output storage type of MKLDNN softmax. Add MKLDNN sum. Fix a bug in elemwise sum. Fix a bug in MKLDNN softmax. Fix a bug in imperative. Clean up dispatch modes. Remove redundant code. MKLDNN Pooling Op integration MKLDNN Pooling Op integration add missing file fix mkldnn pooling op workspace issue handle workspace in MKLDNN pooling correctly. Use a non-MKLDNN op for testing. Allow to share arguments and their gradients between executors. Avoid using MKLDNN pooling when it's not supported. Support MKLDNN properly. Choose MKLDNN softmax more carefully. Fix a bug in MKLDNN pooling. Fall back if MKLDNN pooling isn't supported. Fix a bug in Slice of NDArray. Use int32 for workspace memory. Exclude MKLDNN act with tanh. Have two Reshape functions in NDArray. Copy data for NDArray with diff shapes. Add MKLDNN copy. Add MKLDNN version of elemwise_add. Add MKLDNN version of Flatten. add mkldnn surport for concat simplify MKLDNN Flatten. Enalbe MKLDNN deconvolution with bias. Fix a bug in CuDNN deconvolution. avoid using MKLDNNStorage when it's not defined. Remove ./cudnn_lrn-inl.h Fix for make lint. add mkldnn surport for concat fix the coding style for pr of mkldnn concat Only add input data for MKLDNN concat backward Remove unnecessary TODO. remove unnecessary __repr__ in MKLNDArray. better condition check for readability. Use macro when including mkldnn.hpp. Revert "Use CoreOpRunner for refactored Ops." This reverts commit a28586f. Fix a bug in test core. Limit MKLDNN ops being used. Fix complains from "make pylint" Move ContainStorage to common/utils.h Limit MKLDNN concat being used. Add license. Fix amalgamation Fix compilation error in mkldnn_ops-inl.h Fix a bug in deconvolution. Fix a bug in pooling. MKLDNN ops allocates temp mem. Fix a bug in pooling. Allocate align memory from temp space. Have parameter gradients stored in the default storage. Handle all cases in CopyFrom. Ensure NDArray returns memory with right memory descriptors. use auto to define memory in the operator. Use raw pointer for mkldnn memory. Move more code to mkldnn_base.cc Fix a compilation error. Address review comments. fix a bug in activation backward. Miss a macro in mkldnn_base.cc Fix a bug in data iterator in examples. Avoid memory allocation in ReshapeMKLDNN. Avoid memory allocation in storage cast. Fix a bug in cast storage. Handle sliced MKLDNN NDArray. Use memcpy if NDArray uses default format. Revert "Limit MKLDNN ops being used." This reverts commit 75e2ae5. Enable mkldnn act backward has the same input layout. Fix a bug in mkldnn activation. Use MKLDNN sum in more cases. Improve perf of reorder. Avoid memory reorder in conv and deconv. Avoid unnecessary storage cast in fallback path. Revert "Use MKLDNN sum in more cases." This reverts commit 7a21ebc. Handle sliced ndarray in more cases. Fix a complain from make lint. Update Jenkins to test MKLDNN. debug compiling mkldnn. Use MKLDNN sum in more cases. Add mkldnn as a submodule. Compile with mkldnn in 3rdparty. Fix some coding styles. write the path to mkldnn lib in libmxnet.so. use rpath with $ORIGIN. Pack all lib files in Jenkins. pack and unpack mxnet with MKLDNN. Update Jenkinsfile Update Jenkinsfile Add mkldnn batch normalization Fix bugs in BN. Avoid memory allocation in MKLDNNCopy. only use MKLDNN BatchNorm for special cases. MKLDNN BatchNorm doesn't work well on the default layout. Add MKL-DNN based LRN Code Style Changes Fix a bug in BN. Fix a bug in LRN. Handle non-default storage in memory plan. Fix coding style. Fix a compilation error without mkldnn. Fix some coding styles for batch norm Improve forward of convolution. Add openmp and simd support to BN operator Retrieve MKLDNN Conv primitive based on signature. Retrieve Act primitive based on its signature. Fix a bug in pooling. Diable some MKLDNN activation and pooling. Cast MKLDNN storage with diff data type. Check if it's a view of NDArray. Reshaped and sliced arrays share the same chunks. Implement caching MKLDNN Act correctly. Fix a bug in check_consistency. Fix a potential bug when destroying NDArray. Fix bugs when allocating mem in NDArray. Fix coding style. Add micro when using mkldnn in ndarray. Fix a compilation error. Fix a bug in concat. Remove MKLDNNStorage. handle diff layouts in CopyFromToDnsImpl. Fallback correctly. Force weight grad to use default layout. Reorder weight arrays in (de)conv for faster inference. Avoid caching TBlob from NDArray. This commit may add some overhead of managing NDArray for each fallback. Fix a bug in Flatten. handle ndarray with def layout in mkldnn BN correctly. Align to page when mkldnn is enabled. Use default mem alloc for mkldnn. Reuse NDArrays. Support WriteInplace for sum. fix complains from "make lint". Avoid reallocation in NDArray. Handle weight arrays with special MKLDNN layouts. Remove unnecessary GetWeights. Fix compilation error without MKLDNN. Fix a bug in (de)conv for weight arrays. Fix a minor bug in MKLDNN conv. Fix a bug in MKLDNNOpSignature. Reimplement fallback for MKLDNN ops. Fix a bug in FallbackExecutor. Add params in hashcode. Invalidate data in outputs to accelerate. Fix a minor bug. Update mkldnn_base-inl.h Add primitive caching for Pooling forward computation Add hashcode in pooling parameters. Support NDArray copy with types unsupported by MKLDNN. Avoid using MKLDNN concat for negative dimension. Fix make lint complain. Disable mkldnn avg pooling for now. Fix a compile warning. Fix compile error when MKLDNN is disabled. OP primitive cache: use memory as signature for MKLDNN storage type Remove MKLDNN array in python. Disable Clang tests in Jenkins. Use mklml dockers to test mkldnn. Update MKLDNN repo to zhengda's mkldnn repo. Update MKLDNN repo to ashok's. Fix a bug in fallback. Change avg pooling algorithm to pooling_avg_include_padding Fix a code style in mkldnn pooling. Temp fix a bug in FC. Revert "Disable Clang tests in Jenkins." This reverts commit b4efa8f. Rebase and Refactor deconv (#20) * rebase to Da,Zheng refactor branch Jan.14, add signature for mkldnn Deconv and modify classMKLDNNDeconvForward * fix make lint complains A simple way of caching BN inference. cache BN forward for both training and inference. Fix some minor problems in BN. Fix a bug in caching BN. force to build with avx2 in Jenkins. Remove the remaining MKLDNNStorageType Some minor updates in NDArray. a lot of updates to address comments. minor changes. * revert modification in test_executor. * Fix a bug in FlattenStorageType. * Remove BN debug. * Remove remaining MXNET_USE_MKL2017 * Remove unused code in pooling. * Fixing bugs in gtests. * Fix lint errors. * a lot of minor updates to address comments. * Fix coding style in MKLDNN Pooling (#22) * revert the code change in the previous code refactor. * Fix a bug in pooling. * LRN coding style changes (#21) * LRN coding style change * Add const for local variables * Add req for LRN forward * rebase code * align API interface * revert modification in test_executor. * cast storage with MKLDNN properly. * Minor updates to address comments. * some minor updates. * Switch to the master branch of MKLDNN. * Minor updates to address comments. * Update activation.cc * Fix a bug in convert NDArray. * Add gluon model zoo tests. * Update GPU tests on model zoo. * Avoid using mobilenet for GPU tests with gluon models. mobilenet can't pass the test even without MKLDNN. * Update GPU tests on gluon. * change cmake to compile MKLDNN. * update cmake for MKLDNN. * Implement align myself. * Switch to intel/mkl-dnn. * Fix errors in align unittest. * Add unit test for LRN. * fix a compilation error. * use storage_type_assign to determine storage type. * avoid global pooling in mkldnn. There is a bug in global pooling in mkldnn. * compare all MKLDNN ops with native impls. add MXNET_MKLDNN_DEBUG to control the test. * Fix a bug in testing correctness. * print the name of buggy operator. * undo some modifications. * Fix a bug on reshaped array. * avoid testing outputs with NullOp. * turn on MKLDNN tests in Jenkins. * print each operator in MKLDNN tests. * rename test_gluon_model_zoo.py * Create hashcode for operator parameters properly.
cjolivier01
pushed a commit
to cjolivier01/mxnet
that referenced
this pull request
Feb 2, 2018
cjolivier01
pushed a commit
to cjolivier01/mxnet
that referenced
this pull request
Feb 2, 2018
cjolivier01
pushed a commit
to cjolivier01/mxnet
that referenced
this pull request
Feb 6, 2018
piiswrong
pushed a commit
that referenced
this pull request
Feb 15, 2018
* Remove MKL code. * Integrate MKLDNN. Update MXNet for MKLDNN. Enable MKLDNN Relu. Fix a compilation error. Change Makefile for MKLDNN. Remove infer storage in convolution. Update MXNet for MKLDNN. Support MKLDNN storage type in python. Update activation. Add MKLDNN base classes. Implement MKLDNN fully connected. Add MKLDNN convolution. Update MKLDNN interface in NDArray. MKLDNN convolution handle CreateMKLDNNData failure. Add another GetMKLDNNData in NDArray. Have mkldnn to define the data format. Create output MKLDNN memory explicitly for FC. Fix a bug in NDArray. Fix a bug in GetWeightDesc. Convert data layout if necessary in FC. remove unnecessary print in MKLDNN convolution. Add MKLDNN deconvolution. Add MKLDNNStream to manage primitives and memories. Use MKLDNNStream to register memory in NDArray. Use MKLDNNStream to manage resources in operators. Handle kAddTo in MKLDNN operators. Fix a bug in deconvolution. Fix bugs in NDArray. Revert "Fix bugs in NDArray." This reverts commit f5624a4. Fix a bug in NDArray. Fix a bug in NDArray. Reorder MKLDNN memory to default format in SetTBlob. Disable MKLDNN correctly. Fix a bug in activation. Reshape of NDArray supports MKLDNN. Fix a memory ref bug in NDArray. Reshape NDArray in MKLDNN FullyConnected. Fix data format conversion. Create MKLDNN NDArray in python. Support Slice for MKLDNN NDArray. Reduce the overhead of summing the result to the output array. Avoid unnecessary memory copy in NDArray. Fix a bug in data reordering. Fix a bug in NDArray. Don't hard code MKLDNN type. Support dilation in MKLDNN convolution. Fix a bug in sum results. Rewrite GetMKLDNNData. Add prepare_mkldnn.sh Enable MKLDNN activation. Fix a bug on FullyConnected. Handle 3 dims for MKLDNN NDArray. Fix a bug in MKLDNN FC. Support MKLDNN storage in KV store. Fix a bug in executor for non-default NDArray. Fix a link error in cast_storage.cc. Remove unnecessary function def Fall back to def storage if the type isn't supported by MKLDNN. Use NDArray for MKLDNN in python. Reshape output of MKLDNN convolution. Fix a bug in NDArray. Support more operations in MKLDNN NDArray. Fix a bug in deconvolution. Fix bugs in MKLDNN deconvolution. We still need to compute bias correctly. Have elemwise binary ops to fall to default for MKLDNN. Limit the cases that MKLDNN operations are called. Force the layout of mkldnn::memory from NDArray. Add MKLDNN softmax. Fix output storage type of MKLDNN softmax. Add MKLDNN sum. Fix a bug in elemwise sum. Fix a bug in MKLDNN softmax. Fix a bug in imperative. Clean up dispatch modes. Remove redundant code. MKLDNN Pooling Op integration MKLDNN Pooling Op integration add missing file fix mkldnn pooling op workspace issue handle workspace in MKLDNN pooling correctly. Use a non-MKLDNN op for testing. Allow to share arguments and their gradients between executors. Avoid using MKLDNN pooling when it's not supported. Support MKLDNN properly. Choose MKLDNN softmax more carefully. Fix a bug in MKLDNN pooling. Fall back if MKLDNN pooling isn't supported. Fix a bug in Slice of NDArray. Use int32 for workspace memory. Exclude MKLDNN act with tanh. Have two Reshape functions in NDArray. Copy data for NDArray with diff shapes. Add MKLDNN copy. Add MKLDNN version of elemwise_add. Add MKLDNN version of Flatten. add mkldnn surport for concat simplify MKLDNN Flatten. Enalbe MKLDNN deconvolution with bias. Fix a bug in CuDNN deconvolution. avoid using MKLDNNStorage when it's not defined. Remove ./cudnn_lrn-inl.h Fix for make lint. add mkldnn surport for concat fix the coding style for pr of mkldnn concat Only add input data for MKLDNN concat backward Remove unnecessary TODO. remove unnecessary __repr__ in MKLNDArray. better condition check for readability. Use macro when including mkldnn.hpp. Revert "Use CoreOpRunner for refactored Ops." This reverts commit a28586f. Fix a bug in test core. Limit MKLDNN ops being used. Fix complains from "make pylint" Move ContainStorage to common/utils.h Limit MKLDNN concat being used. Add license. Fix amalgamation Fix compilation error in mkldnn_ops-inl.h Fix a bug in deconvolution. Fix a bug in pooling. MKLDNN ops allocates temp mem. Fix a bug in pooling. Allocate align memory from temp space. Have parameter gradients stored in the default storage. Handle all cases in CopyFrom. Ensure NDArray returns memory with right memory descriptors. use auto to define memory in the operator. Use raw pointer for mkldnn memory. Move more code to mkldnn_base.cc Fix a compilation error. Address review comments. fix a bug in activation backward. Miss a macro in mkldnn_base.cc Fix a bug in data iterator in examples. Avoid memory allocation in ReshapeMKLDNN. Avoid memory allocation in storage cast. Fix a bug in cast storage. Handle sliced MKLDNN NDArray. Use memcpy if NDArray uses default format. Revert "Limit MKLDNN ops being used." This reverts commit 75e2ae5. Enable mkldnn act backward has the same input layout. Fix a bug in mkldnn activation. Use MKLDNN sum in more cases. Improve perf of reorder. Avoid memory reorder in conv and deconv. Avoid unnecessary storage cast in fallback path. Revert "Use MKLDNN sum in more cases." This reverts commit 7a21ebc. Handle sliced ndarray in more cases. Fix a complain from make lint. Update Jenkins to test MKLDNN. debug compiling mkldnn. Use MKLDNN sum in more cases. Add mkldnn as a submodule. Compile with mkldnn in 3rdparty. Fix some coding styles. write the path to mkldnn lib in libmxnet.so. use rpath with $ORIGIN. Pack all lib files in Jenkins. pack and unpack mxnet with MKLDNN. Update Jenkinsfile Update Jenkinsfile Add mkldnn batch normalization Fix bugs in BN. Avoid memory allocation in MKLDNNCopy. only use MKLDNN BatchNorm for special cases. MKLDNN BatchNorm doesn't work well on the default layout. Add MKL-DNN based LRN Code Style Changes Fix a bug in BN. Fix a bug in LRN. Handle non-default storage in memory plan. Fix coding style. Fix a compilation error without mkldnn. Fix some coding styles for batch norm Improve forward of convolution. Add openmp and simd support to BN operator Retrieve MKLDNN Conv primitive based on signature. Retrieve Act primitive based on its signature. Fix a bug in pooling. Diable some MKLDNN activation and pooling. Cast MKLDNN storage with diff data type. Check if it's a view of NDArray. Reshaped and sliced arrays share the same chunks. Implement caching MKLDNN Act correctly. Fix a bug in check_consistency. Fix a potential bug when destroying NDArray. Fix bugs when allocating mem in NDArray. Fix coding style. Add micro when using mkldnn in ndarray. Fix a compilation error. Fix a bug in concat. Remove MKLDNNStorage. handle diff layouts in CopyFromToDnsImpl. Fallback correctly. Force weight grad to use default layout. Reorder weight arrays in (de)conv for faster inference. Avoid caching TBlob from NDArray. This commit may add some overhead of managing NDArray for each fallback. Fix a bug in Flatten. handle ndarray with def layout in mkldnn BN correctly. Align to page when mkldnn is enabled. Use default mem alloc for mkldnn. Reuse NDArrays. Support WriteInplace for sum. fix complains from "make lint". Avoid reallocation in NDArray. Handle weight arrays with special MKLDNN layouts. Remove unnecessary GetWeights. Fix compilation error without MKLDNN. Fix a bug in (de)conv for weight arrays. Fix a minor bug in MKLDNN conv. Fix a bug in MKLDNNOpSignature. Reimplement fallback for MKLDNN ops. Fix a bug in FallbackExecutor. Add params in hashcode. Invalidate data in outputs to accelerate. Fix a minor bug. Update mkldnn_base-inl.h Add primitive caching for Pooling forward computation Add hashcode in pooling parameters. Support NDArray copy with types unsupported by MKLDNN. Avoid using MKLDNN concat for negative dimension. Fix make lint complain. Disable mkldnn avg pooling for now. Fix a compile warning. Fix compile error when MKLDNN is disabled. OP primitive cache: use memory as signature for MKLDNN storage type Remove MKLDNN array in python. Disable Clang tests in Jenkins. Use mklml dockers to test mkldnn. Update MKLDNN repo to zhengda's mkldnn repo. Update MKLDNN repo to ashok's. Fix a bug in fallback. Change avg pooling algorithm to pooling_avg_include_padding Fix a code style in mkldnn pooling. Temp fix a bug in FC. Revert "Disable Clang tests in Jenkins." This reverts commit b4efa8f. Rebase and Refactor deconv (#20) * rebase to Da,Zheng refactor branch Jan.14, add signature for mkldnn Deconv and modify classMKLDNNDeconvForward * fix make lint complains A simple way of caching BN inference. cache BN forward for both training and inference. Fix some minor problems in BN. Fix a bug in caching BN. force to build with avx2 in Jenkins. Remove the remaining MKLDNNStorageType Some minor updates in NDArray. a lot of updates to address comments. minor changes. * Use NNVM interface. Use NNVM interface for upsampling. Use NNVM interface for convolution. Use NNVM interface for deconvolution. Use NNVM interface for FullyConnected. Move NNVM interface to batch norm. Use NNVM interface for depthwise convolution. Use NNVM interface for softmax activation. Use NNVM interface for pooling. use NNVM interface for dropout. Use NNVM interface for activation. Use NNVM interface for CuDNN batch norm. Use NNVM interface for CuDNN pooling. Use NNVM interface for CuDNN softmax activation. Use NNVM interface for CuDNN activation. Use NNVM interface for CuDNN convolution. Use NNVM interface for CuDNN deconvolution. Move concat to nn/ Use NNVM interface for concat. Fix headers in concat. Move lrn to nn/. Use NNVM interface for LRN. Fix a compilation error in convolution. Fix a compilation error in activation. Fix coding style. Fix coding style for make lint. use enums in batch norm. Use CoreOpRunner for refactored Ops. Make FullyConnected stateless. Make upsampling stateless. Make pooling stateless. Make batchnorm stateless. Make SoftmaxActivation stateless. Fix a code style problem. pass amalgamation test for batch norm. pass amalgamation test for dropout. Get convolution ops from a function. Fix compilation errors for GPU. Fix thread local in diff platforms. Avoid using thread_local for non-CuDNN conv/deconv. Remove TODO in deconv. Fix a bug in batch norm. Fix a bug in fully connected. Don't set #inputs for backward convolution. Revert "Make pooling stateless." * revert modification in test_executor. * Fix a bug in FlattenStorageType. * Remove BN debug. * Remove remaining MXNET_USE_MKL2017 * Remove unused code in pooling. * Fixing bugs in gtests. * Fix lint errors. * a lot of minor updates to address comments. * Fix coding style in MKLDNN Pooling (#22) * revert the code change in the previous code refactor. * Fix a bug in pooling. * LRN coding style changes (#21) * LRN coding style change * Add const for local variables * Add req for LRN forward * rebase code * align API interface * revert modification in test_executor. * cast storage with MKLDNN properly. * Minor updates to address comments. * some minor updates. * Switch to the master branch of MKLDNN. * Minor updates to address comments. * Update activation.cc * Fix a bug in convert NDArray. * Add gluon model zoo tests. * Update GPU tests on model zoo. * Avoid using mobilenet for GPU tests with gluon models. mobilenet can't pass the test even without MKLDNN. * Update GPU tests on gluon. * change cmake to compile MKLDNN. * update cmake for MKLDNN. * Implement align myself. * Switch to intel/mkl-dnn. * Fix errors in align unittest. * Add unit test for LRN. * fix a compilation error. * use storage_type_assign to determine storage type. * avoid global pooling in mkldnn. There is a bug in global pooling in mkldnn. * compare all MKLDNN ops with native impls. add MXNET_MKLDNN_DEBUG to control the test. * Fix a bug in testing correctness. * print the name of buggy operator. * undo some modifications. * Fix a bug on reshaped array. * avoid testing outputs with NullOp. * turn on MKLDNN tests in Jenkins. * print each operator in MKLDNN tests. * rename test_gluon_model_zoo.py * Create hashcode for operator parameters properly. * Add USE_MKL2017 back. * Print warning messages. * move batchnorm tests to nnvm interface. * Delete batchnorm v1 tests. * Get inputs and outputs in batchnorm tests. * disable batchnorm tests for now. * Fix GPU tests on gluon model zoo. * Fix lint complains in tests. * Remove simd from openmp instructions in BatchNorm (#24) * Remove warnings. * Fix MKLDNN 1st compile failure issue (#23) * Fix compilation errors. * Remove ARCH_OPT in Jenkins. * Revert "avoid global pooling in mkldnn." This reverts commit f6efd34. * Move to the latest MKLDNN. This fixes the bug in global pooling. * WIP unit tests (#25) * WIP unit tests * some backward items initialized * Make more C++ unit tests work for batch norm (#28) * WIP unit tests * some backward items initialized * some backward items initialized * some backward items initialized * first unit test working * Working on types * backward types working for fp16 on first unit test * backward types working for fp16 on first unit test * backward types working for fp16 on first unit test * . * . * some tests working * fix input data * hangle gpu<->cpu for setting values * gpu working * gpu working * CAccessAsCPU class * Fix varying type in AccessAsCPU * starting to add channel axis tests * TestChannelAxisSimple * TestChannelAxisSimple * run bidirectional * run bidirectional * run bidirectional * CLEANUP * CLEANUP * .. * noaxis * .. * lint * revert * revert * Fix lint complains. * Fix a minor problem in Makefile. * fix GPU pooling. * Disable modelzoo inference tests. * update accuracy checks for MKLDNN. * Fix MKLDNN pooling for global pooling. * Fix Jenkins. * Fix a bug in Jenkins. * Fix Jenkins
rahul003
pushed a commit
to rahul003/mxnet
that referenced
this pull request
Jun 4, 2018
* Remove MKL code. * Use NNVM interface. Use NNVM interface for upsampling. Use NNVM interface for convolution. Use NNVM interface for deconvolution. Use NNVM interface for FullyConnected. Move NNVM interface to batch norm. Use NNVM interface for depthwise convolution. Use NNVM interface for softmax activation. Use NNVM interface for pooling. use NNVM interface for dropout. Use NNVM interface for activation. Use NNVM interface for CuDNN batch norm. Use NNVM interface for CuDNN pooling. Use NNVM interface for CuDNN softmax activation. Use NNVM interface for CuDNN activation. Use NNVM interface for CuDNN convolution. Use NNVM interface for CuDNN deconvolution. Move concat to nn/ Use NNVM interface for concat. Fix headers in concat. Move lrn to nn/. Use NNVM interface for LRN. Fix a compilation error in convolution. Fix a compilation error in activation. Fix coding style. Fix coding style for make lint. use enums in batch norm. Use CoreOpRunner for refactored Ops. Make FullyConnected stateless. Make upsampling stateless. Make pooling stateless. Make batchnorm stateless. Make SoftmaxActivation stateless. Fix a code style problem. pass amalgamation test for batch norm. pass amalgamation test for dropout. Get convolution ops from a function. Fix compilation errors for GPU. Fix thread local in diff platforms. Avoid using thread_local for non-CuDNN conv/deconv. Remove TODO in deconv. Fix a bug in batch norm. Fix a bug in fully connected. Don't set #inputs for backward convolution. * Integrate MKLDNN. Update MXNet for MKLDNN. Enable MKLDNN Relu. Fix a compilation error. Change Makefile for MKLDNN. Remove infer storage in convolution. Update MXNet for MKLDNN. Support MKLDNN storage type in python. Update activation. Add MKLDNN base classes. Implement MKLDNN fully connected. Add MKLDNN convolution. Update MKLDNN interface in NDArray. MKLDNN convolution handle CreateMKLDNNData failure. Add another GetMKLDNNData in NDArray. Have mkldnn to define the data format. Create output MKLDNN memory explicitly for FC. Fix a bug in NDArray. Fix a bug in GetWeightDesc. Convert data layout if necessary in FC. remove unnecessary print in MKLDNN convolution. Add MKLDNN deconvolution. Add MKLDNNStream to manage primitives and memories. Use MKLDNNStream to register memory in NDArray. Use MKLDNNStream to manage resources in operators. Handle kAddTo in MKLDNN operators. Fix a bug in deconvolution. Fix bugs in NDArray. Revert "Fix bugs in NDArray." This reverts commit f5624a4. Fix a bug in NDArray. Fix a bug in NDArray. Reorder MKLDNN memory to default format in SetTBlob. Disable MKLDNN correctly. Fix a bug in activation. Reshape of NDArray supports MKLDNN. Fix a memory ref bug in NDArray. Reshape NDArray in MKLDNN FullyConnected. Fix data format conversion. Create MKLDNN NDArray in python. Support Slice for MKLDNN NDArray. Reduce the overhead of summing the result to the output array. Avoid unnecessary memory copy in NDArray. Fix a bug in data reordering. Fix a bug in NDArray. Don't hard code MKLDNN type. Support dilation in MKLDNN convolution. Fix a bug in sum results. Rewrite GetMKLDNNData. Add prepare_mkldnn.sh Enable MKLDNN activation. Fix a bug on FullyConnected. Handle 3 dims for MKLDNN NDArray. Fix a bug in MKLDNN FC. Support MKLDNN storage in KV store. Fix a bug in executor for non-default NDArray. Fix a link error in cast_storage.cc. Remove unnecessary function def Fall back to def storage if the type isn't supported by MKLDNN. Use NDArray for MKLDNN in python. Reshape output of MKLDNN convolution. Fix a bug in NDArray. Support more operations in MKLDNN NDArray. Fix a bug in deconvolution. Fix bugs in MKLDNN deconvolution. We still need to compute bias correctly. Have elemwise binary ops to fall to default for MKLDNN. Limit the cases that MKLDNN operations are called. Force the layout of mkldnn::memory from NDArray. Add MKLDNN softmax. Fix output storage type of MKLDNN softmax. Add MKLDNN sum. Fix a bug in elemwise sum. Fix a bug in MKLDNN softmax. Fix a bug in imperative. Clean up dispatch modes. Remove redundant code. MKLDNN Pooling Op integration MKLDNN Pooling Op integration add missing file fix mkldnn pooling op workspace issue handle workspace in MKLDNN pooling correctly. Use a non-MKLDNN op for testing. Allow to share arguments and their gradients between executors. Avoid using MKLDNN pooling when it's not supported. Support MKLDNN properly. Choose MKLDNN softmax more carefully. Fix a bug in MKLDNN pooling. Fall back if MKLDNN pooling isn't supported. Fix a bug in Slice of NDArray. Use int32 for workspace memory. Exclude MKLDNN act with tanh. Have two Reshape functions in NDArray. Copy data for NDArray with diff shapes. Add MKLDNN copy. Add MKLDNN version of elemwise_add. Add MKLDNN version of Flatten. add mkldnn surport for concat simplify MKLDNN Flatten. Enalbe MKLDNN deconvolution with bias. Fix a bug in CuDNN deconvolution. avoid using MKLDNNStorage when it's not defined. Remove ./cudnn_lrn-inl.h Fix for make lint. add mkldnn surport for concat fix the coding style for pr of mkldnn concat Only add input data for MKLDNN concat backward Remove unnecessary TODO. remove unnecessary __repr__ in MKLNDArray. better condition check for readability. Use macro when including mkldnn.hpp. Revert "Use CoreOpRunner for refactored Ops." This reverts commit a28586f. Fix a bug in test core. Limit MKLDNN ops being used. Fix complains from "make pylint" Move ContainStorage to common/utils.h Limit MKLDNN concat being used. Add license. Fix amalgamation Fix compilation error in mkldnn_ops-inl.h Fix a bug in deconvolution. Fix a bug in pooling. MKLDNN ops allocates temp mem. Fix a bug in pooling. Allocate align memory from temp space. Have parameter gradients stored in the default storage. Handle all cases in CopyFrom. Ensure NDArray returns memory with right memory descriptors. use auto to define memory in the operator. Use raw pointer for mkldnn memory. Move more code to mkldnn_base.cc Fix a compilation error. Address review comments. fix a bug in activation backward. Miss a macro in mkldnn_base.cc Fix a bug in data iterator in examples. Avoid memory allocation in ReshapeMKLDNN. Avoid memory allocation in storage cast. Fix a bug in cast storage. Handle sliced MKLDNN NDArray. Use memcpy if NDArray uses default format. Revert "Limit MKLDNN ops being used." This reverts commit 75e2ae5. Enable mkldnn act backward has the same input layout. Fix a bug in mkldnn activation. Use MKLDNN sum in more cases. Improve perf of reorder. Avoid memory reorder in conv and deconv. Avoid unnecessary storage cast in fallback path. Revert "Use MKLDNN sum in more cases." This reverts commit 7a21ebc. Handle sliced ndarray in more cases. Fix a complain from make lint. Update Jenkins to test MKLDNN. debug compiling mkldnn. Use MKLDNN sum in more cases. Add mkldnn as a submodule. Compile with mkldnn in 3rdparty. Fix some coding styles. write the path to mkldnn lib in libmxnet.so. use rpath with $ORIGIN. Pack all lib files in Jenkins. pack and unpack mxnet with MKLDNN. Update Jenkinsfile Update Jenkinsfile Add mkldnn batch normalization Fix bugs in BN. Avoid memory allocation in MKLDNNCopy. only use MKLDNN BatchNorm for special cases. MKLDNN BatchNorm doesn't work well on the default layout. Add MKL-DNN based LRN Code Style Changes Fix a bug in BN. Fix a bug in LRN. Handle non-default storage in memory plan. Fix coding style. Fix a compilation error without mkldnn. Fix some coding styles for batch norm Improve forward of convolution. Add openmp and simd support to BN operator Retrieve MKLDNN Conv primitive based on signature. Retrieve Act primitive based on its signature. Fix a bug in pooling. Diable some MKLDNN activation and pooling. Cast MKLDNN storage with diff data type. Check if it's a view of NDArray. Reshaped and sliced arrays share the same chunks. Implement caching MKLDNN Act correctly. Fix a bug in check_consistency. Fix a potential bug when destroying NDArray. Fix bugs when allocating mem in NDArray. Fix coding style. Add micro when using mkldnn in ndarray. Fix a compilation error. Fix a bug in concat. Remove MKLDNNStorage. handle diff layouts in CopyFromToDnsImpl. Fallback correctly. Force weight grad to use default layout. Reorder weight arrays in (de)conv for faster inference. Avoid caching TBlob from NDArray. This commit may add some overhead of managing NDArray for each fallback. Fix a bug in Flatten. handle ndarray with def layout in mkldnn BN correctly. Align to page when mkldnn is enabled. Use default mem alloc for mkldnn. Reuse NDArrays. Support WriteInplace for sum. fix complains from "make lint". Avoid reallocation in NDArray. Handle weight arrays with special MKLDNN layouts. Remove unnecessary GetWeights. Fix compilation error without MKLDNN. Fix a bug in (de)conv for weight arrays. Fix a minor bug in MKLDNN conv. Fix a bug in MKLDNNOpSignature. Reimplement fallback for MKLDNN ops. Fix a bug in FallbackExecutor. Add params in hashcode. Invalidate data in outputs to accelerate. Fix a minor bug. Update mkldnn_base-inl.h Add primitive caching for Pooling forward computation Add hashcode in pooling parameters. Support NDArray copy with types unsupported by MKLDNN. Avoid using MKLDNN concat for negative dimension. Fix make lint complain. Disable mkldnn avg pooling for now. Fix a compile warning. Fix compile error when MKLDNN is disabled. OP primitive cache: use memory as signature for MKLDNN storage type Remove MKLDNN array in python. Disable Clang tests in Jenkins. Use mklml dockers to test mkldnn. Update MKLDNN repo to zhengda's mkldnn repo. Update MKLDNN repo to ashok's. Fix a bug in fallback. Change avg pooling algorithm to pooling_avg_include_padding Fix a code style in mkldnn pooling. Temp fix a bug in FC. Revert "Disable Clang tests in Jenkins." This reverts commit b4efa8f. Rebase and Refactor deconv (apache#20) * rebase to Da,Zheng refactor branch Jan.14, add signature for mkldnn Deconv and modify classMKLDNNDeconvForward * fix make lint complains A simple way of caching BN inference. cache BN forward for both training and inference. Fix some minor problems in BN. Fix a bug in caching BN. force to build with avx2 in Jenkins. Remove the remaining MKLDNNStorageType Some minor updates in NDArray. a lot of updates to address comments. minor changes. * revert modification in test_executor. * Fix a bug in FlattenStorageType. * Remove BN debug. * Remove remaining MXNET_USE_MKL2017 * Remove unused code in pooling. * Fixing bugs in gtests. * Fix lint errors. * a lot of minor updates to address comments. * Fix coding style in MKLDNN Pooling (apache#22) * revert the code change in the previous code refactor. * Fix a bug in pooling. * LRN coding style changes (apache#21) * LRN coding style change * Add const for local variables * Add req for LRN forward * rebase code * align API interface * revert modification in test_executor. * cast storage with MKLDNN properly. * Minor updates to address comments. * some minor updates. * Switch to the master branch of MKLDNN. * Minor updates to address comments. * Update activation.cc * Fix a bug in convert NDArray. * Add gluon model zoo tests. * Update GPU tests on model zoo. * Avoid using mobilenet for GPU tests with gluon models. mobilenet can't pass the test even without MKLDNN. * Update GPU tests on gluon. * change cmake to compile MKLDNN. * update cmake for MKLDNN. * Implement align myself. * Switch to intel/mkl-dnn. * Fix errors in align unittest. * Add unit test for LRN. * fix a compilation error. * use storage_type_assign to determine storage type. * avoid global pooling in mkldnn. There is a bug in global pooling in mkldnn. * compare all MKLDNN ops with native impls. add MXNET_MKLDNN_DEBUG to control the test. * Fix a bug in testing correctness. * print the name of buggy operator. * undo some modifications. * Fix a bug on reshaped array. * avoid testing outputs with NullOp. * turn on MKLDNN tests in Jenkins. * print each operator in MKLDNN tests. * rename test_gluon_model_zoo.py * Create hashcode for operator parameters properly.
rahul003
pushed a commit
to rahul003/mxnet
that referenced
this pull request
Jun 4, 2018
* Remove MKL code. * Integrate MKLDNN. Update MXNet for MKLDNN. Enable MKLDNN Relu. Fix a compilation error. Change Makefile for MKLDNN. Remove infer storage in convolution. Update MXNet for MKLDNN. Support MKLDNN storage type in python. Update activation. Add MKLDNN base classes. Implement MKLDNN fully connected. Add MKLDNN convolution. Update MKLDNN interface in NDArray. MKLDNN convolution handle CreateMKLDNNData failure. Add another GetMKLDNNData in NDArray. Have mkldnn to define the data format. Create output MKLDNN memory explicitly for FC. Fix a bug in NDArray. Fix a bug in GetWeightDesc. Convert data layout if necessary in FC. remove unnecessary print in MKLDNN convolution. Add MKLDNN deconvolution. Add MKLDNNStream to manage primitives and memories. Use MKLDNNStream to register memory in NDArray. Use MKLDNNStream to manage resources in operators. Handle kAddTo in MKLDNN operators. Fix a bug in deconvolution. Fix bugs in NDArray. Revert "Fix bugs in NDArray." This reverts commit f5624a4. Fix a bug in NDArray. Fix a bug in NDArray. Reorder MKLDNN memory to default format in SetTBlob. Disable MKLDNN correctly. Fix a bug in activation. Reshape of NDArray supports MKLDNN. Fix a memory ref bug in NDArray. Reshape NDArray in MKLDNN FullyConnected. Fix data format conversion. Create MKLDNN NDArray in python. Support Slice for MKLDNN NDArray. Reduce the overhead of summing the result to the output array. Avoid unnecessary memory copy in NDArray. Fix a bug in data reordering. Fix a bug in NDArray. Don't hard code MKLDNN type. Support dilation in MKLDNN convolution. Fix a bug in sum results. Rewrite GetMKLDNNData. Add prepare_mkldnn.sh Enable MKLDNN activation. Fix a bug on FullyConnected. Handle 3 dims for MKLDNN NDArray. Fix a bug in MKLDNN FC. Support MKLDNN storage in KV store. Fix a bug in executor for non-default NDArray. Fix a link error in cast_storage.cc. Remove unnecessary function def Fall back to def storage if the type isn't supported by MKLDNN. Use NDArray for MKLDNN in python. Reshape output of MKLDNN convolution. Fix a bug in NDArray. Support more operations in MKLDNN NDArray. Fix a bug in deconvolution. Fix bugs in MKLDNN deconvolution. We still need to compute bias correctly. Have elemwise binary ops to fall to default for MKLDNN. Limit the cases that MKLDNN operations are called. Force the layout of mkldnn::memory from NDArray. Add MKLDNN softmax. Fix output storage type of MKLDNN softmax. Add MKLDNN sum. Fix a bug in elemwise sum. Fix a bug in MKLDNN softmax. Fix a bug in imperative. Clean up dispatch modes. Remove redundant code. MKLDNN Pooling Op integration MKLDNN Pooling Op integration add missing file fix mkldnn pooling op workspace issue handle workspace in MKLDNN pooling correctly. Use a non-MKLDNN op for testing. Allow to share arguments and their gradients between executors. Avoid using MKLDNN pooling when it's not supported. Support MKLDNN properly. Choose MKLDNN softmax more carefully. Fix a bug in MKLDNN pooling. Fall back if MKLDNN pooling isn't supported. Fix a bug in Slice of NDArray. Use int32 for workspace memory. Exclude MKLDNN act with tanh. Have two Reshape functions in NDArray. Copy data for NDArray with diff shapes. Add MKLDNN copy. Add MKLDNN version of elemwise_add. Add MKLDNN version of Flatten. add mkldnn surport for concat simplify MKLDNN Flatten. Enalbe MKLDNN deconvolution with bias. Fix a bug in CuDNN deconvolution. avoid using MKLDNNStorage when it's not defined. Remove ./cudnn_lrn-inl.h Fix for make lint. add mkldnn surport for concat fix the coding style for pr of mkldnn concat Only add input data for MKLDNN concat backward Remove unnecessary TODO. remove unnecessary __repr__ in MKLNDArray. better condition check for readability. Use macro when including mkldnn.hpp. Revert "Use CoreOpRunner for refactored Ops." This reverts commit a28586f. Fix a bug in test core. Limit MKLDNN ops being used. Fix complains from "make pylint" Move ContainStorage to common/utils.h Limit MKLDNN concat being used. Add license. Fix amalgamation Fix compilation error in mkldnn_ops-inl.h Fix a bug in deconvolution. Fix a bug in pooling. MKLDNN ops allocates temp mem. Fix a bug in pooling. Allocate align memory from temp space. Have parameter gradients stored in the default storage. Handle all cases in CopyFrom. Ensure NDArray returns memory with right memory descriptors. use auto to define memory in the operator. Use raw pointer for mkldnn memory. Move more code to mkldnn_base.cc Fix a compilation error. Address review comments. fix a bug in activation backward. Miss a macro in mkldnn_base.cc Fix a bug in data iterator in examples. Avoid memory allocation in ReshapeMKLDNN. Avoid memory allocation in storage cast. Fix a bug in cast storage. Handle sliced MKLDNN NDArray. Use memcpy if NDArray uses default format. Revert "Limit MKLDNN ops being used." This reverts commit 75e2ae5. Enable mkldnn act backward has the same input layout. Fix a bug in mkldnn activation. Use MKLDNN sum in more cases. Improve perf of reorder. Avoid memory reorder in conv and deconv. Avoid unnecessary storage cast in fallback path. Revert "Use MKLDNN sum in more cases." This reverts commit 7a21ebc. Handle sliced ndarray in more cases. Fix a complain from make lint. Update Jenkins to test MKLDNN. debug compiling mkldnn. Use MKLDNN sum in more cases. Add mkldnn as a submodule. Compile with mkldnn in 3rdparty. Fix some coding styles. write the path to mkldnn lib in libmxnet.so. use rpath with $ORIGIN. Pack all lib files in Jenkins. pack and unpack mxnet with MKLDNN. Update Jenkinsfile Update Jenkinsfile Add mkldnn batch normalization Fix bugs in BN. Avoid memory allocation in MKLDNNCopy. only use MKLDNN BatchNorm for special cases. MKLDNN BatchNorm doesn't work well on the default layout. Add MKL-DNN based LRN Code Style Changes Fix a bug in BN. Fix a bug in LRN. Handle non-default storage in memory plan. Fix coding style. Fix a compilation error without mkldnn. Fix some coding styles for batch norm Improve forward of convolution. Add openmp and simd support to BN operator Retrieve MKLDNN Conv primitive based on signature. Retrieve Act primitive based on its signature. Fix a bug in pooling. Diable some MKLDNN activation and pooling. Cast MKLDNN storage with diff data type. Check if it's a view of NDArray. Reshaped and sliced arrays share the same chunks. Implement caching MKLDNN Act correctly. Fix a bug in check_consistency. Fix a potential bug when destroying NDArray. Fix bugs when allocating mem in NDArray. Fix coding style. Add micro when using mkldnn in ndarray. Fix a compilation error. Fix a bug in concat. Remove MKLDNNStorage. handle diff layouts in CopyFromToDnsImpl. Fallback correctly. Force weight grad to use default layout. Reorder weight arrays in (de)conv for faster inference. Avoid caching TBlob from NDArray. This commit may add some overhead of managing NDArray for each fallback. Fix a bug in Flatten. handle ndarray with def layout in mkldnn BN correctly. Align to page when mkldnn is enabled. Use default mem alloc for mkldnn. Reuse NDArrays. Support WriteInplace for sum. fix complains from "make lint". Avoid reallocation in NDArray. Handle weight arrays with special MKLDNN layouts. Remove unnecessary GetWeights. Fix compilation error without MKLDNN. Fix a bug in (de)conv for weight arrays. Fix a minor bug in MKLDNN conv. Fix a bug in MKLDNNOpSignature. Reimplement fallback for MKLDNN ops. Fix a bug in FallbackExecutor. Add params in hashcode. Invalidate data in outputs to accelerate. Fix a minor bug. Update mkldnn_base-inl.h Add primitive caching for Pooling forward computation Add hashcode in pooling parameters. Support NDArray copy with types unsupported by MKLDNN. Avoid using MKLDNN concat for negative dimension. Fix make lint complain. Disable mkldnn avg pooling for now. Fix a compile warning. Fix compile error when MKLDNN is disabled. OP primitive cache: use memory as signature for MKLDNN storage type Remove MKLDNN array in python. Disable Clang tests in Jenkins. Use mklml dockers to test mkldnn. Update MKLDNN repo to zhengda's mkldnn repo. Update MKLDNN repo to ashok's. Fix a bug in fallback. Change avg pooling algorithm to pooling_avg_include_padding Fix a code style in mkldnn pooling. Temp fix a bug in FC. Revert "Disable Clang tests in Jenkins." This reverts commit b4efa8f. Rebase and Refactor deconv (apache#20) * rebase to Da,Zheng refactor branch Jan.14, add signature for mkldnn Deconv and modify classMKLDNNDeconvForward * fix make lint complains A simple way of caching BN inference. cache BN forward for both training and inference. Fix some minor problems in BN. Fix a bug in caching BN. force to build with avx2 in Jenkins. Remove the remaining MKLDNNStorageType Some minor updates in NDArray. a lot of updates to address comments. minor changes. * Use NNVM interface. Use NNVM interface for upsampling. Use NNVM interface for convolution. Use NNVM interface for deconvolution. Use NNVM interface for FullyConnected. Move NNVM interface to batch norm. Use NNVM interface for depthwise convolution. Use NNVM interface for softmax activation. Use NNVM interface for pooling. use NNVM interface for dropout. Use NNVM interface for activation. Use NNVM interface for CuDNN batch norm. Use NNVM interface for CuDNN pooling. Use NNVM interface for CuDNN softmax activation. Use NNVM interface for CuDNN activation. Use NNVM interface for CuDNN convolution. Use NNVM interface for CuDNN deconvolution. Move concat to nn/ Use NNVM interface for concat. Fix headers in concat. Move lrn to nn/. Use NNVM interface for LRN. Fix a compilation error in convolution. Fix a compilation error in activation. Fix coding style. Fix coding style for make lint. use enums in batch norm. Use CoreOpRunner for refactored Ops. Make FullyConnected stateless. Make upsampling stateless. Make pooling stateless. Make batchnorm stateless. Make SoftmaxActivation stateless. Fix a code style problem. pass amalgamation test for batch norm. pass amalgamation test for dropout. Get convolution ops from a function. Fix compilation errors for GPU. Fix thread local in diff platforms. Avoid using thread_local for non-CuDNN conv/deconv. Remove TODO in deconv. Fix a bug in batch norm. Fix a bug in fully connected. Don't set #inputs for backward convolution. Revert "Make pooling stateless." * revert modification in test_executor. * Fix a bug in FlattenStorageType. * Remove BN debug. * Remove remaining MXNET_USE_MKL2017 * Remove unused code in pooling. * Fixing bugs in gtests. * Fix lint errors. * a lot of minor updates to address comments. * Fix coding style in MKLDNN Pooling (apache#22) * revert the code change in the previous code refactor. * Fix a bug in pooling. * LRN coding style changes (apache#21) * LRN coding style change * Add const for local variables * Add req for LRN forward * rebase code * align API interface * revert modification in test_executor. * cast storage with MKLDNN properly. * Minor updates to address comments. * some minor updates. * Switch to the master branch of MKLDNN. * Minor updates to address comments. * Update activation.cc * Fix a bug in convert NDArray. * Add gluon model zoo tests. * Update GPU tests on model zoo. * Avoid using mobilenet for GPU tests with gluon models. mobilenet can't pass the test even without MKLDNN. * Update GPU tests on gluon. * change cmake to compile MKLDNN. * update cmake for MKLDNN. * Implement align myself. * Switch to intel/mkl-dnn. * Fix errors in align unittest. * Add unit test for LRN. * fix a compilation error. * use storage_type_assign to determine storage type. * avoid global pooling in mkldnn. There is a bug in global pooling in mkldnn. * compare all MKLDNN ops with native impls. add MXNET_MKLDNN_DEBUG to control the test. * Fix a bug in testing correctness. * print the name of buggy operator. * undo some modifications. * Fix a bug on reshaped array. * avoid testing outputs with NullOp. * turn on MKLDNN tests in Jenkins. * print each operator in MKLDNN tests. * rename test_gluon_model_zoo.py * Create hashcode for operator parameters properly. * Add USE_MKL2017 back. * Print warning messages. * move batchnorm tests to nnvm interface. * Delete batchnorm v1 tests. * Get inputs and outputs in batchnorm tests. * disable batchnorm tests for now. * Fix GPU tests on gluon model zoo. * Fix lint complains in tests. * Remove simd from openmp instructions in BatchNorm (apache#24) * Remove warnings. * Fix MKLDNN 1st compile failure issue (apache#23) * Fix compilation errors. * Remove ARCH_OPT in Jenkins. * Revert "avoid global pooling in mkldnn." This reverts commit f6efd34. * Move to the latest MKLDNN. This fixes the bug in global pooling. * WIP unit tests (apache#25) * WIP unit tests * some backward items initialized * Make more C++ unit tests work for batch norm (apache#28) * WIP unit tests * some backward items initialized * some backward items initialized * some backward items initialized * first unit test working * Working on types * backward types working for fp16 on first unit test * backward types working for fp16 on first unit test * backward types working for fp16 on first unit test * . * . * some tests working * fix input data * hangle gpu<->cpu for setting values * gpu working * gpu working * CAccessAsCPU class * Fix varying type in AccessAsCPU * starting to add channel axis tests * TestChannelAxisSimple * TestChannelAxisSimple * run bidirectional * run bidirectional * run bidirectional * CLEANUP * CLEANUP * .. * noaxis * .. * lint * revert * revert * Fix lint complains. * Fix a minor problem in Makefile. * fix GPU pooling. * Disable modelzoo inference tests. * update accuracy checks for MKLDNN. * Fix MKLDNN pooling for global pooling. * Fix Jenkins. * Fix a bug in Jenkins. * Fix Jenkins
szha
added a commit
that referenced
this pull request
Mar 6, 2020
* bump up master branch to 2.0 * Add additional update for Scala (#22)
7 tasks
MoisesHer
pushed a commit
to MoisesHer/incubator-mxnet
that referenced
this pull request
Apr 10, 2020
* bump up master branch to 2.0 * Add additional update for Scala (apache#22)
anirudh2290
pushed a commit
to anirudh2290/mxnet
that referenced
this pull request
May 29, 2020
* bump up master branch to 2.0 * Add additional update for Scala (apache#22)
channel960608
pushed a commit
to channel960608/incubator-mxnet
that referenced
this pull request
Aug 17, 2021
parent 1ea18ed author cspchen <cspchen@amazon.com> 1629186478 +0800 committer cspchen <cspchen@amazon.com> 1629186485 +0800 # This is a combination of 21 commits. # This is the 1st commit message: FIX: loading on Linux platform # This is the commit message #2: UPDATE: ci for java-package # This is the commit message apache#3: UPDATE: ci for java-package # This is the commit message apache#4: UPDATE: ci for java-package # This is the commit message apache#5: UPDATE: ci for java-package # This is the commit message apache#6: UPDATE: ci for java-package # This is the commit message apache#7: UPDATE: ci for java-package # This is the commit message apache#8: UPDATE: ci for java-package # This is the commit message apache#9: UPDATE: ci for java-package # This is the commit message apache#10: UPDATE: ci for java-package # This is the commit message apache#11: UPDATE: ci for java-package # This is the commit message apache#12: UPDATE: ci for java-package # This is the commit message apache#13: UPDATE: ci for java-package # This is the commit message apache#14: UPDATE: ci for java-package # This is the commit message apache#15: UPDATE: ci for java-package # This is the commit message apache#16: UPDATE: ci for java-package # This is the commit message apache#17: UPDATE: ci for java-package # This is the commit message apache#18: UPDATE: ci for java-package # This is the commit message apache#19: UPDATE: ci for java-package # This is the commit message apache#20: UPDATE: ci for java-package # This is the commit message apache#21: UPDATE: ci for java-package # This is the commit message apache#22: UPDATE: ci for java-package # This is the commit message apache#23: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#24: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#25: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#26: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#27: UPDATE: jenkins ci scripts for java-package
channel960608
pushed a commit
to channel960608/incubator-mxnet
that referenced
this pull request
Aug 17, 2021
parent 1ea18ed author cspchen <cspchen@amazon.com> 1629186478 +0800 committer cspchen <cspchen@amazon.com> 1629186485 +0800 # This is a combination of 21 commits. # This is the 1st commit message: FIX: loading on Linux platform # This is the commit message #2: UPDATE: ci for java-package # This is the commit message apache#3: UPDATE: ci for java-package # This is the commit message apache#4: UPDATE: ci for java-package # This is the commit message apache#5: UPDATE: ci for java-package # This is the commit message apache#6: UPDATE: ci for java-package # This is the commit message apache#7: UPDATE: ci for java-package # This is the commit message apache#8: UPDATE: ci for java-package # This is the commit message apache#9: UPDATE: ci for java-package # This is the commit message apache#10: UPDATE: ci for java-package # This is the commit message apache#11: UPDATE: ci for java-package # This is the commit message apache#12: UPDATE: ci for java-package # This is the commit message apache#13: UPDATE: ci for java-package # This is the commit message apache#14: UPDATE: ci for java-package # This is the commit message apache#15: UPDATE: ci for java-package # This is the commit message apache#16: UPDATE: ci for java-package # This is the commit message apache#17: UPDATE: ci for java-package # This is the commit message apache#18: UPDATE: ci for java-package # This is the commit message apache#19: UPDATE: ci for java-package # This is the commit message apache#20: UPDATE: ci for java-package # This is the commit message apache#21: UPDATE: ci for java-package # This is the commit message apache#22: UPDATE: ci for java-package # This is the commit message apache#23: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#24: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#25: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#26: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#27: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#28: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#30: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#31: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#32: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#33: UPDATE: jenkins ci scripts for java-package # This is the commit message apache#34: FIX: issues in Resource close methods # This is the commit message apache#35: FIX: issues in Resource close methods
lanking520
pushed a commit
that referenced
this pull request
Oct 5, 2021
* ADD: first commit * ADD: load local libraries * UPDATE: use header files of MXNet 2.0 * ADD: load binaries from environment variable, java properties or jar files. * ADD: add symbol loading and closing add module integration * ADD: [WIP] Component MxNDArray * ADD: [WIP] Component MxNDArray * ADD: Component MxNDArray. Pass static compilation check * ADD: Component CachedOp * REMOVE: module api which is no use * FIX: dependency missing * ADD: [WIP] add test cases for NdArray and CachedOp * ADD: [WIP] add test cases for NdArray and CachedOp * ADD: implement of the forward function for MxSymbolblock * ADD: implement of the forward function for MxSymbolblock * ADD: Sample model downloader for MLP * ADD: doc * ADD: Front-end module for inference, class MxModel, Predictor and so on. * FIX: Mxnet crash when process exits. * FIX: remove and initialize 3rdparty directory * FIX: revert version of submodules: dlpack, dmlc-core, googletest, ps-lite * Revert "FIX: remove and initialize 3rdparty directory" This reverts commit d097675 * FIX: redownload files in 3rdparty * FIX: reset --hard the version of a few submodules * FIX: reset --hard the version of a few submodules * FIX: reset --hard the version of a few submodules * PERF: [WIP] optimize code structure and memory management and * ADD: add copyright; remove Mx prefix for some classes * ADD: add copyright * FIX: group name, path to find header files * UPDATE: README.md * ADD: copyright * ADD: copyright * ADD: package-info ADD: ci ADD: ci ADD: make modification to trigger ci ADD: ci ADD: ci ADD: ci ADD: ci ADD: gradlew ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci ADD: java_package_ci FIX: build failure * FIX: ci config file * UPDATE: remove ParameterStore and some scripts UPDATE: remove Initializer.java * UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package FIX: issues in Resource close methods FIX: issues in Resource close methods FIX: issues in Resource close methods UPDATE: remove scripts for dev * FIX: loading on Linux platform * # This is a combination of 18 commits. # This is the 1st commit message: FIX: loading on Linux platform # This is the commit message #2: UPDATE: ci for java-package # This is the commit message #3: UPDATE: ci for java-package # This is the commit message #4: UPDATE: ci for java-package # This is the commit message #5: UPDATE: ci for java-package # This is the commit message #6: UPDATE: ci for java-package # This is the commit message #7: UPDATE: ci for java-package # This is the commit message #8: UPDATE: ci for java-package # This is the commit message #9: UPDATE: ci for java-package # This is the commit message #10: UPDATE: ci for java-package # This is the commit message #11: UPDATE: ci for java-package # This is the commit message #12: UPDATE: ci for java-package # This is the commit message #13: UPDATE: ci for java-package # This is the commit message #14: UPDATE: ci for java-package # This is the commit message #15: UPDATE: ci for java-package # This is the commit message #16: UPDATE: ci for java-package # This is the commit message #17: UPDATE: ci for java-package # This is the commit message #18: UPDATE: ci for java-package * # This is a combination of 27 commits. parent 1ea18ed author cspchen <cspchen@amazon.com> 1629186478 +0800 committer cspchen <cspchen@amazon.com> 1629186485 +0800 # This is a combination of 21 commits. # This is the 1st commit message: FIX: loading on Linux platform # This is the commit message #2: UPDATE: ci for java-package # This is the commit message #3: UPDATE: ci for java-package # This is the commit message #4: UPDATE: ci for java-package # This is the commit message #5: UPDATE: ci for java-package # This is the commit message #6: UPDATE: ci for java-package # This is the commit message #7: UPDATE: ci for java-package # This is the commit message #8: UPDATE: ci for java-package # This is the commit message #9: UPDATE: ci for java-package # This is the commit message #10: UPDATE: ci for java-package # This is the commit message #11: UPDATE: ci for java-package # This is the commit message #12: UPDATE: ci for java-package # This is the commit message #13: UPDATE: ci for java-package # This is the commit message #14: UPDATE: ci for java-package # This is the commit message #15: UPDATE: ci for java-package # This is the commit message #16: UPDATE: ci for java-package # This is the commit message #17: UPDATE: ci for java-package # This is the commit message #18: UPDATE: ci for java-package # This is the commit message #19: UPDATE: ci for java-package # This is the commit message #20: UPDATE: ci for java-package # This is the commit message #21: UPDATE: ci for java-package # This is the commit message #22: UPDATE: ci for java-package # This is the commit message #23: UPDATE: jenkins ci scripts for java-package # This is the commit message #24: UPDATE: jenkins ci scripts for java-package # This is the commit message #25: UPDATE: jenkins ci scripts for java-package # This is the commit message #26: UPDATE: jenkins ci scripts for java-package # This is the commit message #27: UPDATE: jenkins ci scripts for java-package * MERGE: resolve conflicts * MERGE: resolve conflicts * # This is a combination of 35 commits. parent 1ea18ed author cspchen <cspchen@amazon.com> 1629186478 +0800 committer cspchen <cspchen@amazon.com> 1629186485 +0800 # This is a combination of 21 commits. # This is the 1st commit message: FIX: loading on Linux platform # This is the commit message #2: UPDATE: ci for java-package # This is the commit message #3: UPDATE: ci for java-package # This is the commit message #4: UPDATE: ci for java-package # This is the commit message #5: UPDATE: ci for java-package # This is the commit message #6: UPDATE: ci for java-package # This is the commit message #7: UPDATE: ci for java-package # This is the commit message #8: UPDATE: ci for java-package # This is the commit message #9: UPDATE: ci for java-package # This is the commit message #10: UPDATE: ci for java-package # This is the commit message #11: UPDATE: ci for java-package # This is the commit message #12: UPDATE: ci for java-package # This is the commit message #13: UPDATE: ci for java-package # This is the commit message #14: UPDATE: ci for java-package # This is the commit message #15: UPDATE: ci for java-package # This is the commit message #16: UPDATE: ci for java-package # This is the commit message #17: UPDATE: ci for java-package # This is the commit message #18: UPDATE: ci for java-package # This is the commit message #19: UPDATE: ci for java-package # This is the commit message #20: UPDATE: ci for java-package # This is the commit message #21: UPDATE: ci for java-package # This is the commit message #22: UPDATE: ci for java-package # This is the commit message #23: UPDATE: jenkins ci scripts for java-package # This is the commit message #24: UPDATE: jenkins ci scripts for java-package # This is the commit message #25: UPDATE: jenkins ci scripts for java-package # This is the commit message #26: UPDATE: jenkins ci scripts for java-package # This is the commit message #27: UPDATE: jenkins ci scripts for java-package # This is the commit message #28: UPDATE: jenkins ci scripts for java-package # This is the commit message #30: UPDATE: jenkins ci scripts for java-package # This is the commit message #31: UPDATE: jenkins ci scripts for java-package # This is the commit message #32: UPDATE: jenkins ci scripts for java-package # This is the commit message #33: UPDATE: jenkins ci scripts for java-package # This is the commit message #34: FIX: issues in Resource close methods # This is the commit message #35: FIX: issues in Resource close methods * parent 1ea18ed author cspchen <cspchen@amazon.com> 1629186478 +0800 committer cspchen <cspchen@amazon.com> 1629186485 +0800 FIX: loading on Linux platform UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: ci for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package UPDATE: jenkins ci scripts for java-package FIX: issues in Resource close methods FIX: issues in Resource close methods FIX: issues in Resource close methods DOC: add doc STYLE: change code style for pmd check FIX: avoid the register for a signal handler twice STYLE: pass pmd check UPDATE: remove unused scripts * FIX: solve problems before merge * UPDATE: remove useless files * FIX: licence to apache * FIX: sanity check * FIX: sanity check * FIX: sanity check * FIX: remove unused files * FIX: remove unused files * DOC: add document * FIX: doesn't work on osx * FIX: clang static check * FIX: sanity * FIX: skip signal handler registration when building java package * FIX: remove DataType String * FIX: add license Co-authored-by: cspchen <cspchen@amazon.com>
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.