16 Commits (24283d9fc2ffd4238e6a382fdc5d1be88283c036)

Author	SHA1	Message	Date
Sylwester Fraczek	d74bb6ab9c	fix ut for mkldnn 0.15 - added forcing layout NCHW in mkldnn conv tests	7 years ago
Jacek Czaja	fbe25ef510	MKLDNN: Extending Conv MKLDNN op to reuse MKLDNN primitives (#11750) ... * - Rebase of conv reuse - clag formatter fixes - Fix to conv reuse - Yet another fix - Fix - Fix - clagn format * - comment update	7 years ago
gongweibao	e2b1c5d925	fix code style (#11862)	7 years ago
mozga-intel	b8a04c2fa1	Duplicated code was moved to common function	7 years ago
Jacek Czaja	98f3ad3ba1	- MKLDNN Softmax Grad Op ... - Added hash function inside of MKLDNN softmax op to be used as handle for primitives stroing in a context - Style fixes to softmax mkldnn op - Fixes after review - Coding style - Fix to style - style fixes - style fix - style fixes - Fix to cody style check - Rephrasing a comment fix t obroken merge Fixes to rebase Conflicts: benchmark/fluid/models/machine_translation.py cmake/external/mkldnn.cmake paddle/fluid/operators/softmax_mkldnn_op.cc - Bumped revision of MKL-DNN up to have softmax backward primitive - Added choosing MKLDNN softmax grad operator - First reuse of softmax backward - Reinvented reusing for softmax - Fix to crash in reinvented reuse - Clang format fixes - Clang format fixes - Improved softmax mkldnn reuse mechanism - clang format fixes - Fix to broken merge - Fix	7 years ago
tensor-tang	d5fb8fa778	Revert "Merge pull request #11628 from PaddlePaddle/revert-11102-mozga-intel/Sum_mkldnn_layout" ... This reverts commit 4d8e8ee226, reversing changes made to d6a9f005c8.	7 years ago
tensor-tang	90780e22ce	Revert "MKLDNN layout: Support for sum operator"	7 years ago
mozga-intel	6512be59ec	MKLDNN layout: the code-review changes	7 years ago
mozga-intel	3ff9ba0e6b	Mkldnn layout (#11040) ... * Add MKLDNN layout support in Paddle Add MKLDNN layout in Paddle so that MKLDNN friendly memory layout can be used in MKLDNN enabled OP kernel. Before this commit, NCHW is hardcode to be used in all MKLDNN op kernels. As a result, non-optimized execution path is selected in MKLDNN primitive which bring worse performance. Besides framework change, three MKLDNN OP kernels were updated for using new MKLDNN layout. They are conv/pool2d/batch_norm. Other MKLDNN OP kernels need be also updated in similar way to achieve best performance. * Add MKLDNN layout support in activation OP * Don't populate layout from input to output when kMKLDNN in * Refine pool mkldnn op kernel * MKLDNN layout * Remove the inferitance from tensor file * MKLDNN layout: refactoring * Remove additional #define to register new operator * Prepare mkldnn tests to work with layout	7 years ago
Krzysztof Binias	0aa01929c1	Add backward	7 years ago
Jacek Czaja	5f1333058c	- Draft of reuse of pooling mkldnn operator ... - Finished draft of pooling reusing of operators - Using gethash in PoolGrad added - Removed diagnostic - Added pool mkldnn grad reusing of primitives - Added diagnostic - Removed diagnostic - added dependency to mkldnn data type for pooling mkldnn - Added mkldnn memory data type determining based on template type of op - Compilation warning fix - codying style fixes	7 years ago
mozga-intel	6e7b883bdd	Initial implementation of multiplication operator for MKLDNN	7 years ago
Yi Wang	8dbd9c394e	Fix part of the cpplint errors in fluid/platform (#9802)	7 years ago
pzelazko-intel	8c71adaa8c	MKLDNN conv2d kernel added (#8451) ... * MKLDNN conv2 OP kernel added * TODOs added * mkldnn conv2d OP refactor * CanCUDNNBeUsed and CanMKLDNNBeUsed moved	7 years ago
qingqing01	24509f4af9	Fix the grammar in copyright. (#8403)	7 years ago
Yi Wang	90648f336d	Move file to fluid/; Edit CMakeLists.txt	7 years ago