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[MXNET-1358][Fit API] Fit api tutorial #14462
Commits on May 15, 2019
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Improve order of execution of install scripts. (apache#14867)
* Improve order of execution of install scripts. Remove uneccesary environment variable. /usr/loca/lib already in ld.so.conf* * Fix
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Add primitive cache for MKL-DNN sum(elemwise_add operator (apache#14914)
* Add primitive cache for mkldnn sum * fix cpp test failure
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Commits on May 16, 2019
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Update MKL-DNN submodule to v0.19 (apache#14783)
* update to mkldnn v0.19-rc * update cpp test * update mklml library * bump mkldnn version to v0.19
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Fix the incorrect MKLDNN/MKL logic in cmake (apache#14877)
* fix cmake for win and mkl * Update build_windows.py update MKL_ROOT * Update Jenkins_steps.groovy fix nomkldnn issue. * Update build_windows.py change MKL_ROOT * msshadow_blas * update mshasow * Update DownloadMKLML.cmake windows md5 * Update DownloadMKLML.cmake windows md5 * Update Jenkins_steps.groovy export MKLROOT * Update Jenkins_steps.groovy powershell 'cd $Env:MKL_ROOT' * Update Jenkins_steps.groovy trigger MKL_ROOT test * Update Jenkins_steps.groovy test MKL_ROOT line 552 * Update Jenkins_steps.groovy update 538 $Env:MKL_ROOT * update mshadow * revert gitmodules * remove comments * remove test code * remove test powershell
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Commits on May 17, 2019
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Support 3D input for MKL-DNN softmax operator (apache#14818)
* add 3d softmax * fix * handle req type * clean code * remove check * check axis * retrigger ci
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[MKLDNN] Enable more convolution + activation fusion (apache#14819)
* conv+act fusion * fix mobilenetv2 * fix lint * Add comment * Fix build * trigger ci * Fix CutGraphInputs * Run CI * run ci * trigger
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[Dependency Update] Upgrade CI to use latest cuDNN (apache#14950)
* bump up the cuDNN version * fall back to fp32 * add fallback data type * remove the duplicate one * reenable the memory check * add comment * fix the linter * merge the conflict * retrigger CI
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Sync Horovod distributed training examples with latest changes (apach…
…e#14748) * sync examples with latest changes in Horovod * update README
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Use env var to enforce safe accumulation in ReduceAxesCompute (apache…
…#14830) * add env var to control accumulation option * trial * try with ci change * recover all test_operator * add gpu coverage * fix order * address comments * extra disclaimer on model accuracies
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Commits on May 18, 2019
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[Doc] Add MKL-DNN operator list (apache#14891)
* improve mkldnn document * fix * enable fusion * adjust table * fix comments * promote mxnet-mkl package * Update docs/tutorials/mkldnn/MKLDNN_README.md Co-Authored-By: TaoLv <[email protected]> * Update docs/install/index.md Co-Authored-By: TaoLv <[email protected]> * Update docs/install/index.md Co-Authored-By: TaoLv <[email protected]> * Update docs/install/index.md Co-Authored-By: TaoLv <[email protected]> * Update docs/install/index.md Co-Authored-By: TaoLv <[email protected]> * Update docs/tutorials/mkldnn/operator_list.md Co-Authored-By: TaoLv <[email protected]> * Update docs/faq/perf.md Co-Authored-By: TaoLv <[email protected]> * Update docs/faq/perf.md Co-Authored-By: TaoLv <[email protected]> * Update docs/tutorials/mkldnn/operator_list.md Co-Authored-By: TaoLv <[email protected]> * Update docs/tutorials/mkldnn/operator_list.md Co-Authored-By: TaoLv <[email protected]> * fix markdown table * fix comments * Update docs/faq/env_var.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/tutorials/mkldnn/MKLDNN_README.md Co-Authored-By: Aaron Markham <[email protected]> * change name of env variable * retrigger ci * Update env_var.md
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Silence excessive mkldnn logging output on tests. (apache#14947)
* Silence excessive mkldnn logging output on tests. http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/unix-cpu/branches/PR-14940/runs/1/nodes/283/steps/749/log/?start=0 * As per Peng Zhao and Tao Lv suggestion
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[MXNET-1333] Estimator and Fit API (apache#14629)
* [MXNet-1334][Fit API]base class for estimator and eventhandler (apache#14346) * base class for estimator and eventhandler * add license * add event handlers * fix pylint * improve arg check * fix pylint * add unit tests * Fixed issue where the estimator was printing beyond the dataset size … (apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI * [MXNet-1349][Fit API]Add validation support and unit tests for fit() API (apache#14442) * added estimator unittests * add more tests for estimator * added validation logic * added error handlers, unittests * improve val stats * fix pylint * fix pylint * update unit test * fix tests * fix tests * updated metrics, val logic * trigger ci * trigger ci * update metric, batch_fn error handler * update context logic, add default metric * [MXNet-1340][Fit API]Update train stats (apache#14494) * add train history * update history * update test * avoid calling empty methods * remove train history object * fix pylint * add unit test * fix test * update categorize handlers * [MXNet-1375][Fit API]Added RNN integration test for fit() API (apache#14547) * Added RNN integration test for fit() API * Addressed review comments: change in JenkinFile, tmp directory, ctx with condense if/else, renamed imports * CPU test doesn't require nvidiadocker container * Modified the structure by removing the redundant code * [MXNet-1343][Fit API]Add CNN integration test for fit() API (apache#14405) * added cnn intg tests for fit api * updated cnn intg tests * added functions for nightly test * updated runtime_function * updated intg tests * updated init, datapath, refs * added validation data * update cpu test * refactor code * updated context * [MXNET-1344, 1346][FIT API] Retrieve Batch size and Logging verbose support for Gluon fit() API (apache#14587) * Retrieve Batch size and Logging verbose support for Gluon fit() API * NIT changes * Addressed review comments: shifted the batch size code to a separate method, sentence correction * Modified unittest * removed redundant parameter * Resolve CI test failure * only support DataLoader for now, future PRs will include DataIter to DataLoader converter * Get the number of samples from shape attribute instead of length due to low space complexity * Simplified batch size retrieval code * removed batch_size parameter from fit() method and fixed the tests * Verbose exception handling * Assigning constant to a verbose * Modified exception message * Resolved undefined class reference * Addressed review comments: Modified verbose level names, docs, variable names * Update estimator.py * move estimator to contrib (apache#14633) * move to gluon contrib (apache#14635) * [Fit API] improve event handlers (apache#14685) * improve event handlers * update tests * passing weakref of estimator * fix unit test * fix test * fix pylint * fix test * fix pylint * move default metric logic * combine nightly tests * [MXNET-1396][Fit-API] Update default handler logic (apache#14765) * move to nightly for binaries * update default handler * fix pylint * trigger ci * trigger ci * [Fit API] update estimator (apache#14849) * address comments * add comment * check available context * fix bug * change cpu check * [Fit-API] Adress PR comments (apache#14885) * address comments * update checkpoint * test symbol save * address comments * add resume * update doc and resume checkpoint * update docs * trigger ci * trigger ci
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Commits on May 19, 2019
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Update mkldnn window build instructions in MKLDNN_README.md (apache#1…
…4952) * update mklndd.md * Update MKLDNN_README.md simplify the windows build instruction * Update MKLDNN_README.md simply steps. * Update MKLDNN_README.md Simply VS 2017 part * modify vs2017 * Update MKLDNN_README.md remove numpy hardcode * LF replace * -DUSE_MKLDNN=1 * Update MKLDNN_README.md resolve the conflict * quantization
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Commits on May 20, 2019
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[MXNET-1403] Disable numpy's writability of NDArray once it is zero-c…
…opied to MXNet (apache#14948) * Initial commit * update * Update test_ndarray.py * Retrigger
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Add matrix inversion operator in linalg (apache#14963)
* add inverse cpu * add comment * add inverse backward cpu * add inverse gpu * able to compile * fix * fix * guard for lower version cuda * update docs * update docs * fix misaligned memory * add test * fix lint * fix android * fix indent * change transfer gradient * fix * refactor test * delete unnecessary copy * trigger CI * fix test
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[MXNET-1402] MXNet docs change for 1.4.1 release (apache#14949)
* Initial commit * Website stuff * Address comments from Tao * Update docs/_static/mxnet-theme/index.html Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Update docs/install/index.md Co-Authored-By: Aaron Markham <[email protected]> * Retrigger
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Revert "[MXNET-1333] Estimator and Fit API (apache#14629)" (apache#15008
) This reverts commit 9f451fb.
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[MXNet-1334][Fit API]base class for estimator and eventhandler (apach…
…e#14346) * base class for estimator and eventhandler * add license * add event handlers * fix pylint * improve arg check * fix pylint * add unit tests
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Fixed issue where the estimator was printing beyond the dataset size … (
apache#14464) * Fixed issue where the estimator was printing beyond the dataset size for the last batch * Added comments * Nudge to CI
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[MXNet-1349][Fit API]Add validation support and unit tests for fit() …
…API (apache#14442) * added estimator unittests * add more tests for estimator * added validation logic * added error handlers, unittests * improve val stats * fix pylint * fix pylint * update unit test * fix tests * fix tests * updated metrics, val logic * trigger ci * trigger ci * update metric, batch_fn error handler * update context logic, add default metric
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[MXNet-1340][Fit API]Update train stats (apache#14494)
* add train history * update history * update test * avoid calling empty methods * remove train history object * fix pylint * add unit test * fix test * update categorize handlers
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[MXNet-1375][Fit API]Added RNN integration test for fit() API (apache…
…#14547) * Added RNN integration test for fit() API * Addressed review comments: change in JenkinFile, tmp directory, ctx with condense if/else, renamed imports * CPU test doesn't require nvidiadocker container * Modified the structure by removing the redundant code
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[MXNet-1343][Fit API]Add CNN integration test for fit() API (apache#1…
…4405) * added cnn intg tests for fit api * updated cnn intg tests * added functions for nightly test * updated runtime_function * updated intg tests * updated init, datapath, refs * added validation data * update cpu test * refactor code * updated context
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[MXNET-1344, 1346][FIT API] Retrieve Batch size and Logging verbose s…
…upport for Gluon fit() API (apache#14587) * Retrieve Batch size and Logging verbose support for Gluon fit() API * NIT changes * Addressed review comments: shifted the batch size code to a separate method, sentence correction * Modified unittest * removed redundant parameter * Resolve CI test failure * only support DataLoader for now, future PRs will include DataIter to DataLoader converter * Get the number of samples from shape attribute instead of length due to low space complexity * Simplified batch size retrieval code * removed batch_size parameter from fit() method and fixed the tests * Verbose exception handling * Assigning constant to a verbose * Modified exception message * Resolved undefined class reference * Addressed review comments: Modified verbose level names, docs, variable names * Update estimator.py
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[Fit API] improve event handlers (apache#14685)
* improve event handlers * update tests * passing weakref of estimator * fix unit test * fix test * fix pylint * fix test * fix pylint * move default metric logic * combine nightly tests
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[MXNET-1396][Fit-API] Update default handler logic (apache#14765)
* move to nightly for binaries * update default handler * fix pylint * trigger ci * trigger ci
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[Fit API] update estimator (apache#14849)
* address comments * add comment * check available context * fix bug * change cpu check
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[Fit-API] Adress PR comments (apache#14885)
* address comments * update checkpoint * test symbol save * address comments * add resume * update doc and resume checkpoint * update docs * trigger ci * trigger ci
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Fix test randint (apache#14990)
* Add dtype for large int dtypes * Fix bug
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Commits on May 21, 2019
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LayerNorm acceleration on GPU (apache#14935)
fix lint fix lint fix bug further accelerate fix fix bug fix bug
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Merge pull request apache#14887 from stu1130/publish_cuda10_1
[Dependency Update] CUDA10.1 Support
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[MKLDNN] Remove repeat parts in MKLDNN.md (apache#14995)
* update * modify the link
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Add STL checks via -D_GLIBCXX_ASSERTIONS in debug mode (apache#14896)
* Add STL checks via -D_GLIBCXX_ASSERTIONS in debug mode * Also add to Makefile * Fix warning (fpermissive) sleep definition not available
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MXNet AMP (automatic mixed precision) (apache#14173)
* Beginning of AMP * Optimize noop cast * More operations added * Backward cast * Adding AMPCast and AMPMultiCast * Fix some of lint * Changed symbol wrapper to handle hidden inputs Added PoC of dynamic loss scaling * Moved back to dmlc/tvm repo * fix counter reset to increase loss scale every 2k iterations * Fix indentation * Add contrib from symbol and ndarray to symbol list * Adding where to widest type cast * Do not cast in imperative mode on CPU context * Update dmlc-core to fix unittests * Fix wrapper metadata, fix self handling * Blacklist sync batchnorm (since its implementation is FP32 only) * Fix lint * Enable losses to be tuple * Get rid of AMP handle * Add scaling to Output functions * Fix pylint * Update dmlc-core * Changing prints in AMP to logging.info * NNVM -> MXNet for FInferShape * Bring the inplaceidentity fix to copied pass from NNVM * Added tutorial for AMP * Making Windows compiler happy * Fixes to tutorial * More fixes * Fix lint * Fix * Add amp/index.md to whitelist for tutorial tests * Whitelisting cuDNN RNN * Manual unscale * _internal functions wrapping * Make SymbolFunctor from Symbol * Fix the type infer function of AMP multicast * Added ability to override casting lists * Making clang-tidy and pylint happy * More cleaning * Making clang-tidy really happy * remove amp_cast and amp_multicast before saving the model * Changes from review * Add RemoveAmpCast in a separate c_api function, add the option in symbol.save * add remove_amp_cast option (True by default) to everyway of saving symbol * Fix * First stab at adding the gray list * More ops added * Adding the rest of the functions * Improvements to AMP test * Changing of names and changing wrapping * Moving to contrib * Modifying tutorial for contrib AMP * Removing non existent functions * Fix import in test * Fix lint * Added new functions * Added assert * Fix the unknown ndim in PlanMemory pass * Moving back to FP16_FUNCS and FP16_FP32_FUNCS * Removing unnecessary ops * Adding ops that exist only in some build configurations and removing tests checking that AMP lists contain only existing ops * Removing warning when not every function was found during AMP init because of functions being available only in specific configurations * Add tests and doc * Fix the CPU version of all_finite * Adding test cases for all_finite operator * Add new operators * Fix
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Fix infer shape partial after unknown shape changed to -1 (apache#14869)
* change check and shape_is_known * rever some changes * revert * revert * revert * add test * add more tests * update test dot * fix test * update reduce axes * fix lint * update check * fix lint * address comments * remove invalid test case * run all tests * update test case
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Commits on May 22, 2019
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[MXNET-1406] [BUG] Fix DLManagedTensor deleter (apache#15016)
* Fix * Fix * Retrigger
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* use float32 to store the reduction result of float16 enable safe accumulation fix bug fix * update test for safe_accumulate * fix
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Integrating the MKL VML functions to MXNET to speed-up the (element-w…
…ised) mathematic computation (apache#14893) * mkl_func test with erf&log op, build success~ * fix lint and build issues * Try to add support to sparse array * fix build * add functions * Fix review comments * remove unecessary code * Update test case * minor fix * move the position of MKL_Compute * mkl_func test with erf&log op, build success~ * fix lint and build issues * Try to add support to sparse array * fix build * Fix review comments * remove unecessary code * Update test case * minor fix * add functions * move the position of MKL_Compute * fix cpplint * cpp lint * trigger ci * address comments * coding style * enable layernorm * fix windows build * revert changes to FComputeEx * int -> index_t * remove workspace * fix lint * clean code
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Commits on May 23, 2019
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[Quantization] Support zero-size tensor input for quantization flow (a…
…pache#15031) * [Quantization] Support zero-size tensor input for quantization flow * Comment out quantized_act and quantized_sum * retrigger CI * Add test cases
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Simplify creation of NodeEntry instances and use emplace_back (apache…
…#14095) * Optimize move semantics of NodeEntry apache/tvm#2576 Making copies of shared_ptr is more expensive than moving. This PR reduces lock contention by using move semantics in NNVM nodes making also more convenient to construct NodeEntry classes in the code due to the added ctors. Update NDarray with NodeEntry constructors and refine initializer lists. Sync gradient.cc with tvm * Remove additional calls to NodeEntry in emplace_back * refine patch * Fix lint
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Fix warning / static function in header. (apache#14900)
* Fix warning * CR comments * Fix windows CI * as per Haojin2 request, moving to op namespace
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Fix crash in random.shuffle operator (apache#15041)
* fix crash in random_shuffle caused by int overflow * add unit test * add comment * remove small random test to avoid CI failure
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Commits on May 24, 2019
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Add cpu implementation for Deformable Convolution (apache#14879)
* add cpu deformable_im2col * fix doc string * fix lint * add consistency check * fix code style * add cpu deformable_col2im, deformable_col2im_coord * update consistency test * unify variable names * fix lint * update to index_t
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[C++] fix type inconsistent issue when loading quantized parameters (a…
…pache#15038) * fix type inconsistent when using C++ API to load params file * add test case * fix cpplint * address comment * retrigger CI * fix comments * modify ci_test * fix indentation
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Add cpu implementation for Deformable PSROIPooling (apache#14886)
* add cpu deformable_psroi_pooling forward * add cpu deformable_psroi_pooling backward * add consistency checks * fix nullptr * fix code style * fix lint * fix code style * update to index_t * fix lint * fix compile
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[MXNET-545] Fix broken cython build (apache#10951)
* Fix broken build with cython 0.28 * Fix setup.py to be compatible with cython 0.28 * Fix broken cython ndarray module * Revised comments * Replace hard coded library path with one obtained by find_lib_path * Add documentation for MXNET_ENABLE_CYTHON and MXNET_ENFORCE_CYTHON * Add cython build to CI * Fix for cython CI * Adjust python environment for cython CI * Add make variables to set python executable * Fix typo * Fix nnvm include path * Does not use ccache for cython * Fix issues with the wildcards in the library list in Jenkinsfile * Fix issues with the wildcards in the library list in Jenkinsfile (continued) * Fix issues with the wildcards in the library list in Jenkinsfile (continued) * Intentionally introduce a bug to check that the tests actually runwith cython * Remove the intentionally introduced bug * Update installation doc * Retrigger CI * Run cython CI in ubuntu environment instead of CentOS environment * Commit a missed file * Fix a bug in check_cython * Refine environments for cython CI * Restore unrelated changes * Fix a problem occurring when the cython modules for python 2 and 3 are built successively * Trigger CI * Pin the cython version in the CI * Catch up apache#11320 * Remove optional arguments unused after apache#11320 * Trigger CI * Trigger CI * Trigger CI * Remove unnecessary stype argument from the NDArrayBase constructor * Revise confusing initialization of `_ndarray_cls` * Add cython build for python3 in CI * Fix misplaced cython build in CI * Adjust CI environments for cython * Fix invalid path for cython generated .so files in cmake build * Revert invalid fix * Revise docs * Revise check_cython * Temporaily use make instead of cmake for debugging * Temporal changes for debugging * Temporal changes for debugging * Temporaily use ctypes instead of cython modules for debugging * Temporaily disable ccache for debugging * Temporaily use make (DEV = 0) instead of cmake for debugging * Temporaily disable cudnn for debugging * Restore temporal changes * Temporarily disable coverage report * Adapt to Jenkinsfile_utils * Adapt to Jenkinsfile_utils (cont.) * Restore unrelated changes * Restore temporal changes * Resolving conflict * Test with the cmake build is removed * Add MXNET_ENABLE_CYTHON=0 to tensorrt test * Fix typo * Trigger CI * Trigger CI * Adapt to Jenkinsfile refactoring * Adapt to Jenkinsfile refactoring (cont.) * Trigger CI * Trigger CI * Stash missing cython modules * Trigger CI * CMake build of cython modules without unit tests * Fix typo * Trigger CI * Fix a mistake introduced in merging process * trigger test * Update Jenkinsfile_utils.groovy * Trigger CI * Trigger CI * Trigger CI * Trigger tests * Trigger tests * Trigger tests * Trigger tests * Trigger tests * Trigger tests * Trigger tests * Trigger tests
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MKLDNN RNN Inference Integration(fp32 LSTM and vRNN with tanh and rel…
…u) (apache#14713) * trigger the ci * integrate mkldnn rnn fp32 inference(LSTM and vRNN with tanh and relu) * fix bug about comparison between signed and unsigned integer expressions * fix unix-gpu issue * fix unix gpu bug * fix unix-gpu issues * fix some comments * fix issue * fix comment * rename `cached` to `initialized` * support IType * TODO for MKLDNN GRU * fix bugs in memory adjustment * Reformat TODO for MKLDNN GRU * Reserve original RNN path * Remove MKLDNN GRU * Fix bug for rnn forward * Remove `__CUDAACC__` * Move `RNNStatefulComputeCPU` to rnn.cc * Remove redundent macro of `__CUDACC__` * Remove the last macro `__CUDACC__` from rnn*
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Commits on May 25, 2019
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Allow clearing gpu cache (apache#14252)
* Allow releasing all gpu memory * fix white space * stuck ci checks * Fix whitespace * Rename release_all -> empty_cache and provide documentation * fix indentation * Rename c_api's MXStorageReleaseAll -> MXStorageEmptyCache and clarify documention * nudge ci * Update context.py
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GPU RNN to use TempSpace resource for workspace. (apache#15056)
* GPU RNN to use TempSpace resource for workspace. * Trigger CI. * Fix syntax error after merge.
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[MXNET-1382] Add the index_array operator (apache#14638)
* Implement the index_array operator * Add index_array operator tests * Add index_array operator GPU tests * Add the index_array operator to the Python docs autosummary * Add the author of the index_array operator to CONTRIBUTORS.md * Make index_array compatible with zero-dim and zero-size arrays Changes the implementation of index_array to be compatible with the recently merged support for zero-dim and zero-size arrays. Resolves the incompatibilities with apache#14661. * Fix the index_array gradient checks in the unit tests In the previous implementation, the output gradient had an incorrect shape. This commit fixes the shapes and makes the tests more readable. * Add zero-dim and zero-size array tests for index_array * Use mxnet::Tuple<int> instead of TShape for the axes parameter * Fix incorrect array indexing in index_array Solves access violations when compiling with MSVC++ 14.0. * Avoid copying the input shape array in the index_array shape function * Add unknown shape handling to index_array * Use SHAPE_ASSIGN_CHECK to assign the shape in index_array * Remove the redundant index_array GPU tests from test_operator_gpu.py * Move the index_array tests into a single function (test_index_array) * Use @mx.use_np_compat instead of mx.np_compat in index_array op tests * Remove the use of template specialization for IndexArrayForward * Add the index_array operator to the AMP symbol list * Retrigger CI
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Commits on May 26, 2019
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Rename np_compat to np_shape (apache#15063)
* Change np_compat to np_shape * Fix scala * Fix pylint * Add examples and fix documentation * Fix doc * More doc * Rename np_compat to np_shape in test_operatory.py * Rename in ndarray.cc
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Improve FC perf when no_bias=False (apache#15033)
* Improve FC perf when no_bias=False * Add Issue number in comment * Correct req
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[MXNET-978] Support higher order gradient for
log
. (apache#14992)* add higher order gradient support for log, log10, log2 * add tests * address comments * simplify NodeEntry creation. * address comments * update comment to avoid confusion.
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[MXNET] Updated http://data.dmlc.ml/ links to http://data.mxnet.io/ (a…
…pache#15065) * changed http://data.dmlc.ml/ links to http://data.mxnet.io/ * Update get_data.R * Update get_inception_model.sh * Update CatsDogsFinetune.Rmd * Update README.md Updated pretrained ImageNet model links
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Revert "Improve FC perf when no_bias=False (apache#15033)" (apache#15099
) This reverts commit 6cf964a.
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[MKLDNN]Fix mkldnn deconvolution forward with bias (apache#15088)
* fix mkldnn deconvolution forward with bias * Rerun CI
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Change mx.test_utils.list_gpus to mx.context.num_gpus where possible (a…
…pache#14946) * Change mx_test_utils.list_gpus to mx.context.num_gpus where possible apache#14926 * Remove mx.test_utils.list_gpus * revert accidental unrelated dmlc-core changes * Fix basic_layers.py import * Fix typo * restore list_gpus() in tests_utils for compat * restore dmlc-core
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NAG Optimizer with multi-precision support (apache#14568)
* nag_mp * doc * reuse sgd updates where convenient
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Fix R installation instructions (windows / mac) (apache#15087)
* show warning about R v3.6 * fix link to R install
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Enable serializing/deserializing ndarrays in np_shape semantics (apac…
…he#15090) * Loosen the contraint on serializing/deserializing ndarrays within the scope of np_shape * Support save/load dense ndarrays in np_shape semantics
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Fix mkldnn backend when using naive engine (apache#15089)
* Fix mkldnn backend when using naive engine * Rerun CI * Rerun CI * Rerun CI * Add comment
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[clojure] fix: image test does not rely on s3 to run (apache#15122)
* [clojure] fix: image test does not rely on s3 to run * rename `with-image` to `with-file`
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[BUGFIX] fix unknown parameter shapes when np_shape is turned on. (ap…
…ache#15097) * fix. * add test. * fix test. * check unknown shape correctly. * fix test. * fix. * fix. * add more comments. * add doc.
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[Flaky Test] Bump up bilinear_resize (apache#15129)
* bump up the tolerance level again * bump up atol
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[clojure] clojurify function names in image.clj namespace (apache#15121)
* [clojure] clojurify function names in image.clj namespace * move deprecated to the proper location for defn * rename color-flag to color and use :color :grayscale as values * add rm dest-path in with-file * change `color-flag` to `color` in `color->int`
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* fix nightly * disable large tensor * update issue link
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fix kvstore nightly failure (apache#15156)
* fix kvstore * fix * update tutorial * Update docs/tutorials/python/kvstore.md Co-Authored-By: Lin Yuan <[email protected]>
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Commits on Jun 7, 2019
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* update license * update license * fix typo * update license * add comment * Update example/gluon/style_transfer/dataset/download_dataset.py Co-Authored-By: Zach Kimberg <[email protected]> * Update example/gluon/embedding_learning/get_cub200_data.sh Co-Authored-By: Zach Kimberg <[email protected]> * update license * add license * trigger ci * fix large tensor * update copy right * fix wrong commit * fix * trigger
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Fix Scala release (apache#15155)
* Fix Scala release Add GPG signing to pom.xml Fix staging target repository * Fix duplicate xml heading
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[MXNET-1416] Fix inception inference example for potential index out …
…of range error. (apache#15179) * Adding support to get the data from 1D NDArray. * Added the error handling for index out of range.
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[BUGFIX] Fix a bug in Auto Function. (apache#15184)
* add test. * fix. * update test.
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min fix of 'storage_type' index mismatch (apache#14560)
Index of array 'storage_type' should be indice of 'node entries', not 'nodes'. sign-of-by: [email protected]
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Fix installation dependencies (apache#14987)
* fix links to md files * switch html links to md * update java tutorials link * merge; graphviz pinned * remove index from link to get around recursion error * remove old tx2 redirect * fix broken links * fix toctree error
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don't check for nullptr before deleting; closes apache#14580 (apache#…
…14901) * don't check for nullptr before deleting; closes apache#14580 * trigger CI * retrigger CI
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Fix wrong description of output range of ToTensor (apache#14794)
* Fix wrong description of output range of ToTensor The range is actually including 1 due to division by 255 (not 256) * Add ToTensor tests with boundary values * retrigger CI
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Commits on Jun 10, 2019
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[MXNET-978] Second order gradient support for some unary operators (a…
…pache#14613) * try to add support some ops * add unit test for second order grad * implement grad for relu and add unit test * fix lint * register FGradient attribute for backward relu * resolve conflict * remove unused imports * change gradient using set_attr * remove higher order grad test for negative(x) * fix lint * reverse indent * remove unused backward operator * refactor backward for sin(x) and cos(x) * change value init to list init * change to list initialization * generate random shape in test * fix a bug in second order backward * fix lint * fix lint * address reviewer comment and renaming
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Broken link fixes for the website (apache#15205)
* removed slack archive * move images to static * fix broken links
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Commits on Jun 12, 2019
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[MKLDNN] Fix quantized act and concat (apache#15209)
* fix quantized act and concat * change to use nnvm get params * trigger
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Fixed a bug in Gluon DataLoader. (apache#15195)
* Fixed a bug in Gluon DataLoader. Issue: apache#15025 Fix: Broadened the scope of worker pool to iterators. Passed a reference of dataloader to the multi worker iterator * Fixed a bug in Gluon DataLoader. Issue: apache#15025 Fix: Broadened the scope of worker pool to iterators. Passed a reference of dataloader to the multi worker iterator * Fixed a bug in Gluon DataLoader. Issue: apache#15025 Fix: Broadened the scope of worker pool to iterators. Passed a reference of dataloader to the multi worker iterator * Fixed a bug in Gluon DataLoader. Issue: apache#15025 Fix: Broadened the scope of worker pool to iterators. Passed a reference of dataloader to the multi worker iterator
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Docs fixes (NDabs, Proposal, MultiProposal) (apache#15185)
* exclude ndabs docs * updated docs
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Bugfix: accept NN as an inter_method for augmentation in ImageRecordI… (
apache#15221) * Bugfix: accept NN as an inter_method for augmentation in ImageRecordIter and ImageDetRecordIter * Unittest: all valid inter_methods can be used
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Add an utility for operator benchmarks (apache#14977)
* Initial end to end working skeleton * Add skeleton for all other operator benchmarks * Add Gluon Conv2D benchmarks * Add readme and user guide, example result * Add licence headers to all files * fix RAT licence check issues * Add ability to group list of operators with same inputs to benchmark. Update README * Add comparison operator tests and more arithmetic operators * Remove Gluon block and instead use only low level NDArray operators * Add GEMM operators * Add logical operations * Add support to export results as markdown * Add ability to query MXNet operator registry for operators and run benchmarks * Delete duplicate arithmetic, logical, comparison operator benchmarks. Update ReadMe and main driver * Add binary elementwise operator benchmarks * Adding basic logging mechanisms * Address review comments * Few formatting issues resolved * Add unary operators. Remove stale todo files * Fix sanity tests * Remove mention of hypothesis * Add random sampling operator benchmarks. * Add all activation operator benchmarks * Add Pooling operator benchmarks * Add Convolution operator benchmarks * Add Reduction operator benchmarks * Add an utility to get list of operator not benchmarked * Autogenerate list of operators to cover * Add basic nn operators - FC, dropout, batchnorm * Add CPU result file
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Update float16 tutorial (apache#15107)
* Update float16 tutorial * Code review changes
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Commits on Jun 13, 2019
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Improve static cached_op optimization (apache#15187)
* Fix cached op Change-Id: If90c6f0997548ffd5daa67cc18bab7405f24213b * Fix UT * trigger
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Updated Image Augmentation tutorial to use Gluon Transforms. (apache#…
…15197) * Updated Image Augmentation tutorial to use Transforms. * Updates based on feedback.
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Cleaned up profiling tutorial (apache#15228)
* Cleaned up profiling tutorial. * Minor edits to profiler tutorial. * fix ascii issue * Updates based on feedback.
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[TUTORIAL] Add multiple GPUs training tutorial (apache#15158)
* Add multiple GPUs training tutorial * Add download source button * Add tutorial to the test suite * Remove from nightly build (no CI multigpu machines) * Add extension to whitelisted multigpu tutorial * Force build * Force update * Code review fixes * Force build * Typo fix and force build * Add tutorial back to tests * Add tutorial to the index * Force build
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[MXNET-1415]Add MXEnginePushAsyncND and MXEnginePushSyncND C APIs (ap…
…ache#15177) * add MXEnginePushAsyncND and MXEnginePushSyncND * fix test build * return exception value * retrigger CI
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Profiler API Enhancements (apache#15132)
* add support for sorting and printing aggregate info in json * revert some overwrites * revert to old c apis; added MXAggregateProfileStatsPrintEx instead * style fix * style fixes * more style fixes * rebase * style fixes * fix infinite loop bug * test cases added and bugs fixed * fix test cases * fix testcases * testcases * testcases * testcases * fix doc * use enum to avoid hardcoding * sanity test fix * sanity test fix * add parameter validation * add parameter validation in frontend * validation * removing print() * fix typos
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Fix nightly build warning (apache#15248)
* Fix nightly build warning * Force build
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Commits on Jun 16, 2019
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[Dependency Update] Bump up cuDNN & NCCL version (apache#15142)
* bump up cudnn version * downgrade tensorRT to 7.5 * bump up NCCL 2.4.7
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Fix horovod build failure when mxnet is built from source (apache#15213)
* fix horovod build when mxnet is built from source * copy header file in mkldnn * copy mkldnn_version header file to include * remove unnecessary line * fix the untracked file * whitelist mkldnn headerfile * exlude lint path
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