Commit Graph

19 Commits (18d4eaa68deb9819525b092fe6091e66ecfbbb6b)

Author SHA1 Message Date
Oleh 1d004b542a
xw_plus_b mkldnn implementation (#247)
* libnd4j first step of mkldnn for xw_plus_b and test of aurora crash in imageHelper

* libnd4j sync folders with master

* libnd4j merge master, raw implementation of xw_plus_b on mkldnn, clean up, need testing and adding checks for corresponded input shapes

* libnd4j corrections and checks added to xw_plus_b mkl

* libnd4j corrected dataType description based on mkl operation description, need more investigation

* libnd4j fixe xw_blus_b mkl implementation, need testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j two unit tests added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed check input dimensions bug

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 one more test added to cover different order handling

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added optional int arg support to define weights format, if arg == 1, mkldnn (do not need transpose in mkldnn implementation), else mmul weights format, corrected check points, added unit test

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed issues connected with weights rank, also added support of one case based on tf (for mkldnn, cpu, cuda), test case added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added proper handling of empty inputs (all implementations)

* libnd4j fixed compilation error

* libnd4j several more corrections after conflict solve and fixed typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j removed unsupported data types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and fixed issues

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added propagation implementation for xw_plus_b, fixed issue connected with mkl weights data format, avoided data copy in transpose mode, test cases added, manually tested with gradCheck

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor fix of double operation declaration

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor tests fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed build problem, integrate helpers changes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-31 13:03:10 +03:00
Yurii Shyrma e700b59f80
Shyrma weights format (#329)
* - start to introduce additional weights formats into conv2d ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide weights format variety in backprop conv2d and deconv2d ops, testing and fixing bugs

Signed-off-by: Yurii <iuriish@yahoo.com>

* - forgot to recover kernels sizes in deconv2d_bp test

Signed-off-by: Yurii <iuriish@yahoo.com>

* - built in weights format in depthwise conv 2d op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in mkl dnn conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in cuda conv helpers

Signed-off-by: Yurii <iuriish@yahoo.com>

* - working with new weights format in cudnn conv api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account order of arrays in cudnn tensor descriptions

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in cpu conv3d (ff/bp)

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in cpu deconv3d (ff/bp)

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in conv3d ops (ff/bp) based on mkl api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide new weights formats in conv3d ops (ff/bp) based on cudnn api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - resolve conflicts 2

Signed-off-by: Yurii <iuriish@yahoo.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-20 12:11:27 +03:00
Oleh e7a995e959
Tanh backpropagation mkldnn implementation (#308)
* libnd4j first step of tanh_bp operation implementation on mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j optimize several places and added test case for tanh_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor corrections and renaming, added one more test case

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j missed mkldnn data format definition

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-13 19:01:00 +03:00
Oleh 41bde8f885
Softmax BP mkldnn implementation (#301)
* libnd4j mkldnn softmax_bp operation implementation and integration, 2 tests added, need some refactoring and code clean up and more testing with different input shapes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j softmax_bp update, code refactoring, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master, fixed typos, minor tweaks, code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j  integrate mkldnnUtils helpers in other mkldnn operations

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-12 18:25:29 +03:00
raver119 57210b936c
Revert "OpenMP Threads execution (#297)" (#299)
This reverts commit dd2043ef48.
2020-03-09 08:22:49 +03:00
raver119 dd2043ef48
OpenMP Threads execution (#297)
* omp threads backported

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* omp scalar reduce

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* timing

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* timing

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* minor tweaks

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* minor tweaks

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* namespace change

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* num_threads

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* one minor fix

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2020-03-09 08:21:44 +03:00
Oleh ead5162c97
Tanh mkldnn implementation (#296)
* libnd4j first step of softmax mkldnn implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of mkldnn softmax

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and added softmax to MklDnnTests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for softmax mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor corrections to avoid risk connected with negative axis usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed dataType selection per request

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix for mac and windows builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j builds fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j first spet of elementwize tanh implementation on mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed typo in error message for softmax MKLDNN, test case added, implementation of tanh on MKLDNN, need supported DataType testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for tanh and temporary performance test added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed mkldnn platform loader for tanh

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j MklDnn tanh removed unsupported data types, removed performance test case, added more appropriate equivalence test case, code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed problem with empty input case for MklDnn tanh and softmax

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-06 17:11:22 +03:00
Oleh 4d81af9fe9
Softmax operation implementation for mkldnn (#286)
* libnd4j first step of softmax mkldnn implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of mkldnn softmax

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and added softmax to MklDnnTests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for softmax mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor corrections to avoid risk connected with negative axis usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed dataType selection per request

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix for mac and windows builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j builds fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-04 19:36:42 +03:00
raver119 63fa3c2ef3
libnd4j polishing (#273)
* initial set of include changes

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* one more tweak

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* few more rearrangements

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* few more rearrangements

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* few more rearrangements

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* cuda includes rearrangements

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* java update

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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix

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* java update

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* LoopKind minor fix

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* few more changes

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* few more changes

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* few more changes

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* sanitizer is optional now

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* dev tests updated

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* few more changes

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* last update

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* java update

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2020-03-02 12:49:41 +03:00
Yurii Shyrma 22c7aa9acf
Shyrma mkl matmul (#250)
* - provide matmul code based on mkl api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct typo in mkl matmul op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account empty arrays in mkl matmul op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fix bug in mkl matmul and group all matmul tests in one file

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-18 08:58:01 +03:00
Yurii Shyrma 948646b32d
Shyrma mkl test (#211)
* - provide nhwc format in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - corrections in mkl conv3d

Signed-off-by: Yurii <iuriish@yahoo.com>

* - corrections in mkl batchnorm

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* - corrections in mkl maxpooling2d

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* - add format format_tag::any to outputs in mkl conv ops

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* - complete corrections in mkl conv ops

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* - add test for comparison of execution speeds of mkl conv2d op with different weights format

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account order f in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-06 21:12:54 +03:00
raver119 7783012f39
cuDNN integration (#150)
* initial commit

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* one file

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* few more includes

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* m?

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* const

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* cudnn linkage in tests

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* culibos

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* static reminder

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* platform engine tag

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* HAVE_CUDNN moved to config.h.in

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* include

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* include

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* skip cudnn handle creation if there's not cudnn

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* meh

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* target device in context

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* platform engines

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* platform engines

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* allow multiple -h args

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* allow multiple -h args

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* move mkldnn out of CPU block

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* link to mkldnn on cuda

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* less prints

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* minor tweaks

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* next step

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* conv2d NCHW draft

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* conv2d biasAdd

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* test for MKL/CUDNN combined use

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* - provide additional code for conv2d ff based on cudnn api, not tested yet

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* - further work on conv2d helper based on using cudnn api

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* - fixing several cuda bugs which appeared after cudnn lib had been started to use

Signed-off-by: Yurii <iuriish@yahoo.com>

* - implementation of conv2d backprop op based on cudnn api

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* - implementaion of conv3d and conv3d_bp ops based on cudnn api

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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)

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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api

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* - implementation of batchnorm ff op based on cudnn api

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* - disable cudnn batchnorm temporary

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* - add minor change in cmake

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* engine for depthwise mkldnn

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* couple of includes

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* - provide permutation to cudnn batchnorm ff when format is NHWC

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* lgamma fix

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* - eliminate memory leak in two tests

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 21:32:46 +03:00
Yurii Shyrma cae5ef4180 Shyrma depthconv (#156)
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api

* - minor corrections in deconv3d

Signed-off-by: Yurii <iuriish@yahoo.com>

* - remove unnecessary time test

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* - update mkl dnn version in cmake

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* - take into account several notes given by pr reviewer

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* - fix bug in depthwise conv2d op based on mkl

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2020-01-11 07:36:40 +03:00
Alex Black 578a5abb68 DNNL/MKLDNN dilated causal conv1d + betainc (#103)
* - add padding calculation in same mode in causal conv1d op for right mkl paddings

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct causal condition in mkldnnUtils.cpp

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* - correct some code which caused additional round errors is betainc op

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* - put float in place of template parameter in nan assign in betainc op

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2019-12-04 14:50:17 +03:00
raver119 59e955cedc
- MKL-DNN version upgrade to 1.1.x (#62)
- MKL-DNN namespace changes to match DNNL rename

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2019-11-20 13:23:08 +03:00
Yurii Shyrma 0cdb5750e0
Shyrma concat (#24)
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case

Signed-off-by: Yurii <iuriish@yahoo.com>

* - write code for deconv2d op based on mkl dnn api

* no unsafe math

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* no unsafe math

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* - get rid of e<> and p<> methods in svd helper

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* - provide mkl api support for deconvolution 3d

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* - write deconv2d_bp based on mkl api

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* - write deconv3d_bp based on mkl api

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* - testing and fixing deconv based on mkl api

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* - remove dilation form conv2d/3d mkl

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* - minor changes

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* - further corrections of deconv ops based on mkl dnn api

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* - provide deconv2d_tf based on mkl dnn api

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* - add minor corrections required by reviewer

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2019-11-03 12:37:19 +02:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing batchnorm backprop

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* - write code for batchnorm backprop based on mkl dnn api

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* - testing and fixing bugs in batchnorm_bp mkl dnn

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* - made corrections required by reviewer

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* - change name in java wrapper for batchnorm op

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2019-10-26 14:14:21 +03:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00