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
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* - further work on improving legacy loops
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* - still working on improving reduce ops
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* - further work on improving reduce ops
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* - testing speed run of new reduce op
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* - working on improvement of default loop for reduce op
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* - update signatures of stuff which calls reduce ops
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* - make corrections in cuda reduce kernels
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* - change loop for default case in broadcast legacy ops
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* - comment some shape stuff
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* - comment unnecessary prints in RNGtests
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* - finish to resolve conflicts after master has been merged
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* - get rid of some compilation mistakes of cuda stuff
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* - 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
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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>
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Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
2020-07-26 21:59:27 +09:00
ac7fb903d7
C++ rearrangements ( #485 )
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* 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
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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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00
6aaca58506
Shyrma broadcast ( #302 )
...
* - profiling TrueBroadcastHelper
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* - further improving of TrueBroadcastHelper
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* - further profiling of broadcast op
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* - implementation of broadcastShapeHelper which inserts unities in shapes of arrays to be broadcasted
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* - provide additional method in ConstantShapeHelper class for deducing broadcast shapes with unities
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* - provide new NativeOps helpers for usual and true broadcast methods
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* enable bert profiler
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* - delete unnessesary tests
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2020-03-10 16:29:09 +03:00
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
1bb3ae4b03
Shugeo unordered map ( #256 )
...
* Refactored usage of std::map to std::unordered_map instead.
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* Eliminated crash with wrong ShapeDescriptor hash.
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* Eliminated crash with TadDescriptor hash.
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* Refactored Stash hash.
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* Refactored hashes.
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* Refactored TadDescriptor hash and top_k mapping.
* Refactored hashes for ShapeDescriptor and TadDescriptor classes.
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* Refactored hash for ConstantDescriptor and ShapeDescriptor classes.
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* Fixed map using with cuda platform.
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* - few rearrangements for hash functions
- shared openblas allowed
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* exports
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* exports
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* Stash reverted to std::map
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* Added additional test.
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* different maps for different compilers
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* missing include
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* fix the leak
Signed-off-by: raver119 <raver119@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-02-24 07:51:01 +03:00
a0da5a9e47
Events removed from Java ( #219 )
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* replace mutex with lock_guards
Signed-off-by: raver119 <raver119@gmail.com>
* Events ditched from Java CUDA logic
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2020-02-07 12:34:55 +03:00
029a69a835
Shyrma bn mkl bp ( #14 )
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* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for batchnorm backprop based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp mkl dnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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
7abc574eeb
Snapshot update ( #8194 )
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* fix double consumption of rng on cpu
Signed-off-by: raver119 <raver119@gmail.com>
* Shyrma docs (#222 )
* - documenting and profiling matrix_set_diag cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag
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* cublasHandle sharing + lock
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* cublasHandle sharing + lock
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* Documentation from serialization/deserialization in NLP (#221 )
* refactoring
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Javadocs
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* Javadoc fixed
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* Cleanup
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* dedicated lock for getCudaCublasHandle
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* Small fixes (#223 )
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* ELU DL4J fixes (#224 )
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* javadoc (#225 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Small test compilation fix (#226 )
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* #8182 remove spark version suffix (#227 )
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* [WIP] Thread safety (#229 )
* sync after cublas*gemm
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* mutex for CublasHelper
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* don't store cublasHandle in LaunchContext, it's per-device anyway
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* some printout
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* check for field instead
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* pew-pew
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* don't release ContextBuffers until device changed
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* small tweak
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* some logging in sgemm
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* stream sync
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* some more logging
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* some more error checks
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* one fancy test
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* one fancy test
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* minor AffinityManager fix
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* cudaEvent error logging improvement
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* ConstantHelper thread safety
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* - minor corrections in ConstantTadHelper
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* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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2019-09-03 22:02:02 +03:00
269d508ba5
[WIP] cross-device migrations ( #134 )
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* two more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA device afinity tweaks
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* minor tweaks
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* prepareAction/registerAction for CustomOps
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* lazy allocate host bufer before relocation
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* one special test for migration in cpp
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* tests update for msvc
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* logging
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* stick to old col2im impl
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* cudaStreams reorganization
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* buffer size fix
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* c++ data migration
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* fix CropAndResize test
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* - minor improvment
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2019-08-20 18:52:41 +03:00
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
Samuel Audet
raver119
Yurii Shyrma
shugeo
skymindops