Commit Graph

13 Commits (9ed0e2169ea847968ea5435f55a2df7c4c04fd3d)

Author SHA1 Message Date
agibsonccc 6dc7e2f08f Update c++ copyrights 2021-02-01 21:31:45 +09:00
Samuel Audet 029b84e2b7
Development updates (#9053)
* RL4J: Add generic update rule (#502)

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* Shyrma reduce (#481)

* - start working on improving of cpu legacy code for reduce ops

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

* - further work on improving legacy loops

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

* - still working on improving reduce ops

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

* - further work on improving reduce ops

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

* - testing speed run of new reduce op

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

* - working on improvement of default loop for reduce op

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

* - update signatures of stuff which calls reduce ops

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

* - make corrections in cuda reduce kernels

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

* - change loop for default case in broadcast legacy ops

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

* - comment some shape stuff

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

* - comment unnecessary prints in RNGtests

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

* - finish to resolve conflicts after master has been merged

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* - get rid of some compilation mistakes of cuda stuff

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

* - minor changes

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* - further search for bug causing crash on java test

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* - add scalar case in reduce_ ... exec stuff

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* - minor corrections in NAtiveOps.cu

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* - add switch to scalar case execReduceXD functions

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* - add support for vectors old shape in ConstantShapeHelper::createShapeInfoWithNoUnitiesForReduce

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* - correct cuda mirrorPad

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* - add support for vectors old shape in cuda createShapeInfoWithNoUnitiesForReduce

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

Co-authored-by: raver119 <raver119@gmail.com>

* Add support for CUDA 11.0 (#492)

* Add support for CUDA 11.0

* libnd4j tweaks for CUDA 11

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* bindings update, again?

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* * Update versions of JavaCPP Presets for FFmpeg, OpenBLAS, and NumPy

* update API to match CUDA 8

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* * Update version of JavaCPP Presets for CPython

* C++ updated for cuDNN 8.0

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* one more test

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* one more test

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* one more test

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* 128-bit alignment for workspaces

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* change seed in 1 test

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* Fix dependecy duplication in python4j-parent pom

* Fix group id for in python4j-numpy

* few tests tweaked

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* Remove macosx-x86_64-gpu from nd4j-tests-tensorflow

* few minor tweaks for IndexReduce

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* one test removed

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Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>

* RL4J: Add SyncTrainer and AgentLearnerBuilder for a few algorithms (#504)

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
2020-07-26 21:59:27 +09:00
raver119 ac7fb903d7
C++ rearrangements (#485)
* initial commit

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* some minor singleton changes

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* more iterations

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* more singletons updated

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* more singletons updated

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* more changes

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* CUDA updates

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* Java side update

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* one commented out test

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2020-06-06 15:26:55 +03:00
raver119 320924278d
Legacy API changes (#441)
* initial commit

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* another initial commit

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* another initial commit

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* one more initial commit

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* next step

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* next step

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* next step

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* next step

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* Refactored buffer() and shapeInfo() methods usage with NDArray class.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Adopt Graph class methods to use const shapes.

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* Adopt choose op to use constant shapes.

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* Adopt where op shape method to use constant shapes.

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* Adopt lstsq op to use constant empty shapes.

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* Adopt matrix_diag_part op shape routine to use constant shapes.

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* Adopt determinant ops to use constant shapes.

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* Adopt mean_pairwssqerr_loss ops to use constant shapes.

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* Adopt ops shape methods.

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* Adopt shape methods for loss ops.

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* Adopt log_loss op shape method.

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* Adopt shape methods for ops.

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* Adopt dilation2d ops shape methods.

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* Adopted deconv2d ops shape methods.

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* Adopted dynamicRNN op shape method.

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* Adopted shape methods for ops.

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* Adopted shape methods for lstm layer ops.

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* few updates

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* first cuda tweak

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* Adopt constant shapes for sconv2d ops.

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* Adopt constant shapes for gru ops.

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* Adopt constant shapes with shape methods for segment ops and so on.

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* Adopted constant shapes with unsorted_segment_* ops.

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* Adopted constant shapes with gamma op shape method.

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* Adopted shape methods of reduce_stddev ops.

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* Adopted shape methods for reduce_* ops.

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* Adopt shape method for squeeze op.

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* Adopt strided_slice shape method.

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* Refactored concat op shape method to adopt constant shapes.

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* Adopted shape method for mirror_pad op.

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* Adopted split op shape method.

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* Adopted tile ops shape methods.

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* Added const cast for mkldnn routines handles.

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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.

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* Cosmetic changes to proper usage of constant pointers.

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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.

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* Refactored depthToSpace helpers.

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* Refactored histogram helpers.

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* Refactored im2col helpers.

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* Refactored gather and gatherND helpers.

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* Fixed buffer usage on percentile helper.

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* Fixed gather shape with helpers and range buffer usage.

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* Fixed buffer usage with space to depth helpers.

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* Fixed buffer usage and constant shapes.

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* Fixed buffer usage with LUP decomposition>

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* Refactored onehot_ helper.

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* Refactored pad and prefix to use constant shapes.

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* Refactoed softmax helpers.

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* Fixed space to batch helpers to use buffers properly.

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* Fixed stack and split helpers.

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* Fixed buffer usage with sparse to dense helpers.

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* Fixed buffer usage with mindistance_ helpers.

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* Fixed buffer usage with tile helper.

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* Fixed constant shape usage.

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* Fixed constant shape usage with legacy pairwise bool ops.

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* Refactored a couple of methods to adopt constant shape usage.

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* Fixed broadcasting with constant shape."

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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.

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* Refactored legacy ops with const shapes.

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* Refactored sort to adopt constant shapes.

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* Corrected sort for constant shape usage.

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* Fixed constant shape usage with special methods.

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* Refactored Context to conform with constant shape usage.

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* CUDA broadcasting headers

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* pairwise/indexreduce/random headers

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* Refactored native ops to adopt constant shapes.

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* legacy reduce3/scalar headers

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* Corrected pullRow signature and tests.

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* Corrected routines to proper use of constant shapes.

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* Refactored tests to use constant shapes properly.

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* Refactored legacy ops tests to use constant shapes properly.

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* Refactored buffer usage with NDArray tests.

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* Fixed native ops tests.

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* Fixed special concat routine.

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* Fixed buffer usage with test.

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* Fixed buffer usage with a test.

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* Refactored TAD.h and tests.

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* Refactored calcStrides* routines to use constant shapes.

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* Fixed miscelaneous errors with constant shapes.

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* NativeOps const changes

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* Corrected definitions for declared functions.

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* NativeOps const changes

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* few more const changes

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* Fixed const shapes with shape routines.

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* few more const changes

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* Fixed shape method for broadcastable case.

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* few more const changes

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* xw_plus_b BP shape fn restored

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* Fixed signatures with broadcasting.

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* Repaired backprops shape methods for a set of operations.

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* Refactored broadcast bool for cuda.

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* Refactored methods for 3 args with const qualifier.

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* Fixed a couple of kernel signatures for broadcasting.

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* Fixed kernels signatures for const buffers and shapes.

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* Refactored pairwise methods to persistent buffers and shapes usage.

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* Adopt const to buffers and shapes with kernels.

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* Adopt const to buffers and shapes with scalar kernels.

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* Refactored indexreduce kernels signatures to use const buffers and shapes.

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* Refactored pairwise kernels to adopt cons shapes and buffers.

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* Refactored pairwise bool kernels to adopt cons shapes and buffers.

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* Refactored random special ops to conform with const shapes and buffers.

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* Refactored native ops to conform with const shapes and buffers under cuda platform.

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* Cosmetical changes only.

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* Fixed const shapes and buffers error.

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* Corrected start pos routine.

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* Refactored methods to conform with const shapes and buffers.

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* Refactored helpers to use proper methods instead.

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* bunch of changes

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* next bunch of changes

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* next bunch of changes

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* Fixed execScalar declaration.

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* Fixed execScalar declaration.

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* Corrected const shape cases with sort and so on.

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* Fixed const shapes for sort.

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* Refactored kernel declarations to adopt const shapes.

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* Fixed kernels declarations to adopt const shapes.

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* Corrected kernel declarations to adopt const shapes and buffers.

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* Fixed kernels declarations to adopt const shapes.

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* Fixed segment helpers kernels declarations and so on to adopt const shapes.

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* Fixed const shape usage with segment and solve helpers.

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* Fixed kernel declaration with adjustWeight helper.

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* Fixed cuda implementations for constant shape helpers.

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* Adopted const shape usage with kernels.

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* Adopted top_k kernels to use const shapes and buffers.

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* Corrected kernels declarations to adopt const shapes with helpers.

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* Refactored NDArray definitions to adopt const shapes and buffers.

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* Fixed const shapes with image suppression helpers.

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* Slight improvement with buffers.

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* Refactored buffer usage.

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* Refactored buffer usage with tests.

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* Fixed const shape usage with definitions.

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* minor updates on cpu side

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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.

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* Refactored tear and tile kernels to adopt with const shapes.

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* softmax_loop fix

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* update missing signature

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* softmax again

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* few more missing consts

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* new methods updated

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2020-05-09 08:06:14 +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
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
Oleh b4575d11e9
Loops auto-vectorization problem fix (#274)
* libnd4j cast loop types

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* libnd4j more type castination added to loops

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* libnd4j sync casting types of iterated variable in loops

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* libnd4j more loops reviewed for vectorization problem fix

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* libnd4j fixed several typos

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* libnd4j several more files reviewed to fix auto-vectorization problem in loops

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* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops

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* libnd4j several type casting added in broadcasting that were missed, fixed mac builds

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* libnd4j double check all files and fix several more places in loops

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* libnd4j fixed builds

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* libnd4j revert changes for lup.cpp

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2020-02-26 21:12:19 +03:00
raver119 29e8e09db6
String changes (#3)
* initial commit

* additional data types & tensor type

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* next step

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* comment

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* CUDA DataBuffer expand

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* few tweaks for CUDA build

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* shape fn for string_split

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* one more comment

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* string_split indices

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* next step

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* test passes

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* DataBuffer creation

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* DataBuffer setters for bufers

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* couple of wrappers

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* one special test

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* redundant call

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* print_variable op

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* - view handling (but wrong one)
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* one more test

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* - empty arrays handling

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* minor fix

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* meh

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* one more fix

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* initial cuda commit

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* print_variable message validation

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* CUDA views

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* CUDA special buffer size

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* minor update to match master changes

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* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default

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* meh

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* - print_variable now allows print from device

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* InteropDataBuffer data type fix

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* ...

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* disable some debug messages

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* master pulled in

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* couple of new methods for DataBuffer interop

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* java side

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* offsetted constructor

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* - few new tests
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* two failing tests

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* two failing tests pass

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* now we pass DataBuffer to legacy ops too

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* Native DataBuffer for legacy ops, Java side

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* CPU java side update

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* CUDA java side update

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* no more prepare/register action on java side

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* NDArray::prepare/register use now accepts vectors

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* InteropDataBuffer now has few more convenience methods

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* java bindings update

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* tick device in NativeOps

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* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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* one more test

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* compat_string_split fix for CUDA

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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer

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* legacy ops DataBuffer migration prototype

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* ignore device shapeinfo coming from java

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* minor fix

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* minor transformAny fix

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* minor tweak for lazy host allocation

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* - DataBuffer::memcpy method
- bitcast now uses memcpy

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* - IndexReduce CUDA dimension buffer fix

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* views for CPU and CUDA

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* less spam

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* optional memory init

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* async memset

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* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix

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* - reduce3All fix
switch to CUDA 10 temporarily

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* CUDA version

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* proper memory deallocator registration

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* HOST_ONLY workspace allocation

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* temp commit

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* few conflicts resolved

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* few minor fixes

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* one more minor fix

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* NDArray permute should operate on JVM primitives

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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java

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* - addressPointer temporary moved to C++

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* CUDA: don't account offset twice

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* CUDA: DataBuffer pointer constructor updated

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* CUDA NDArray.unsafeDuplication() simplified

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* CUDA minor workspace-related fixes

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* CPU DataBuffer.reallocate()

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* print_affinity op

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* print_affinity java side

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* CUDA more tweaks for data locality

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* - compat_string_split tweak
- CudaUtf8Buffer update

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* INDArray.close() mechanic restored

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* one more test fixed

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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored

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* one last fix

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* bad import removed

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* another small fix

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* one special test

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* fix bad databuffer size

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* release primaryBuffer on replace

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* higher timeout

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* disable timeouts

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* dbCreateView now validates offset and length of a view

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* additional validation for dbExpand

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* restore timeout back again

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* smaller distribution for rng test to prevent timeouts

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* CUDA DataBuffer::memcpy now copies to device all the time

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* OpaqueDataBuffer now contains all required methods for interop

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* some javadoc

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* GC on failed allocations

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* minoe memcpu tweak

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* one more bitcast test

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* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks

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* DataBuffer additional syncStream

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* DataBuffer additional syncStream

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* one ignored test

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* skip host alloc for empty arrays

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* ByteBuffer support is back

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* DataBuffer::memcpy minor fix

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* few minor prelu/bp tweaks

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* nullify-related fixes

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* PReLU fixes (#157)

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* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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* nd4j-jdbc-hsql profiles fix

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* nd4j-jdbc-hsql profiles fix

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* PReLU weight init fix

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* Small PReLU fix

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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views

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* missed file

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* Small tweak

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* cuda 10.2

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* minor fix

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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
raver119 6de00bf75f
[WIP] Weekly update of repo (#8390)
* [WIP] Fix compilation after nd4j changes (#37)

* Fix compilation.

* Some tests fixed

* Disable tests temporarily.

* Restored test

* Tests restored.

* Test restored.

* [WIP] perf tests (#40)

* special maxpool test

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* special maxpool test

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* Shyrma bnorm bp (#41)

Batchnorm backprop mkldnn

* Add SameDiff memory reuse memory manager (array cache) (#39)

* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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* SameDiff op runtime benchmarking listener (#42)

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* INLINE_LOOPS for windows

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* [WIP] ThreadPool (#8)

This PR removes OpenMP use in 95% of cases
2019-11-13 17:15:18 +03:00
raver119 589401477d
[WIP] bunch of improvements (#257)
* - profiling bias_add op
- add some docementation

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* - minor change

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* - provide addBias cuda kernel

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* - improve shape::getIndexOfffset and change its signature

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* - same as previous

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* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements

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* - minor changes in flatten

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* - add function shape::getIndexOffsetOrdered

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* - correct shape::getIndexOffsetOrdered()

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* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function

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2019-09-11 20:12:09 +03:00
Alex Black 68ea5f3688
Dev branch merge: dev_20190606 (#7904)
* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks
2019-06-15 21:34:34 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00