Commit Graph

14 Commits (53d3bd126953b6ac264724c0192e0c5c8a0c1cee)

Author SHA1 Message Date
Yurii Shyrma 5d9b2a16e5 Shyrma temp (#131)
* - specifying template instantiation for certain types in float16 and bloat16

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

* - polishing bfloat16 and float16 member functions template specialization

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* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class

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

* - make corrections which have to do with and rvalue lvalue conversions

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

* - provide move semantic in NDArray operators array +-/* array

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* float16/bfloat16 tweaks

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* one more tweak

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* - make float16 and bfloat16 to compile successfully on cuda

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* - do not use resources of view-like arrays when move semantics is applied

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* - get rid of pointers in signatures NDArray methods 1

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* - correction of signature of NDArray::dup method

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* - correction of signature of NDArray::reduceAlongDimension method

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* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods

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* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods

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* - signature correction of NDArray::tensorsAlongDimension and diagonal methods

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* - signature correction of NDArray::allTensorsAlongDimension

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* - signature correction of NDArray::reduceAlongDimension 2

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* - signature correction of NDArray::applyTransform 2

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* - signature correction of NDArray::applyPairwiseTransform 2

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* - signature correction of NDArray::applyBroadcast 2

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* - signature correction of NDArray::applyTrueBroadcast 2

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* - signature correction of NDArray::applyScalar and applyScalarArr

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* - signature correction of NDArray::lambda methods

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* - signature correction of NDArray::reduce3 methods 2

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* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular

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* - signature correction of NDArray::tileToShape methods

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* - signature correction of NDArray::isShapeSameStrict method

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* minor corrections in tests

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* - replace reduce op in batchnorm mkldnn

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* - add explicit templates instantiations for operator+(NDArray&&. const scalar)

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* - corrections of casts in float16/bfloat16

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* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute

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* - get rid of input array A duplicate in svd cuda op

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* - avoid available bug in svd cuda API

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* - add temporary global memory buffer in svd cuda when calcUV = false and  m != n

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* - remove test with blfoat16 type for betainC

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* - resolve conflicts after master has been merged in

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* - changed type of affected input array in fused_batch_norm

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* - add several explicit type castings

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* - add ND4J_EXPORT to operators

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* - add explicit template types in instantiations of template arithm operators of NDArray class

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* - one more test fix

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Co-authored-by: raver119 <raver119@gmail.com>
2019-12-20 22:35:39 +03:00
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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* export additional symbols

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* few more tweaks

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* one more tweak for linux

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* fix dtype in few tests

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* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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* no-op on empty for adjust hue/contrast/saturation

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

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2019-12-02 21:37:21 +03:00
raver119 29990b1214
[WIP] Clang/macOS fixes (#8412)
* build fix for clang

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* [WIP] clang for jcpp (#53)

* clang as compiler for jcpp

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* we don't need macos profile

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2019-11-17 13:45:58 +03:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50)
* one range test

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* few Context convenience singatures

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* one more range test

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* "range" "fix"

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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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* adjust_contrast now allows scale factor as variable too

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* bitcast shape tests

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* BitCast import dtype added

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* few more BitCast signatures

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2019-11-15 17:04:29 +03:00
raver119 1eb3de90d7
[WIP] Platform helpers switches (#44)
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well

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* global platform-helpers trigger

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* few signatures renamed

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* - few new env variables to follow
- maxThreads/masterThreads differentiation

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* Javadoc update

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2019-11-14 14:35:02 +03:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
shugeo 08853c7829
Shugeo random uniform int (#30)
* Corrected randomuniform declaration.

* Refactored uniform distribution for both cuda and cpu platforms.

* Refactored uniform distribution and tests.

* Fixed type usage with indices.

* Refactored uniform distribution implementation and tests to full conform with TF implementation.

* Refactored gamma function to use type util method.

* Copyright changes and fixes with ConstantHelper.

* Added error checking on allocate cuda device memory and operations.
2019-11-06 12:49:27 +02:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

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* Round 2

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* Round 3

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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs

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* Next steps

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* Next step

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* Cleanup

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* More polish

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* Fix

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* Add WeakIdentityHashmap

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* Session fixes for control ops and next steps

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* More fixes

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* Fixes

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* First steps for training session + in-line updating

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* Next steps

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* Fix losses and history during training

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* More fixes

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* BiasAdd and other fixes

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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)

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* Small fix

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* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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* Non-control op dependency tracking works/passes

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* Switch/merge

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* Next steps

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* Cleanup and next steps

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* Small fixes

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* Fix issue dependency tracking for initial variables/constants

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* Add check for aliases when determining if safe to close array

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* First pass on new TF graph import class

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* Import fixes, op fixes

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* Cleanup and fixes for new TF import mapper

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* More cleanup

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* Partial implementation of new dependency tracker

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* Next steps

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* AbstractDependencyTracker for shared code

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* Overhaul SameDiff graph execution (dependency tracking)

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* More fixes, cleanup, next steps

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* Ad no-op memory manager, cleanup, fixes

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* Fix switch dependency tracking

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* INDArray.toString: no exception on closed arrays, just note closed

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* Fix enter and exit dependency tracking

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* TensorArray memory management fixes

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* Add unique ID for INDArray instances

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* Fix memory management for NextIteration outputs in multi-iteration loops

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* Remove (now unnecessary) special case handling for nested enters

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* Cleanup

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* Handle control dependencies during execution; javadoc for memory managers

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* Cleanup, polish, code comments, javadoc

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* Cleanup and more javadoc

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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released

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* Clean up arrays waiting on unexecuted ops at the end of execution

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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames

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* Fix order of operation issues for dependency tracker

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* Always clear op fields after execution to avoid leaks or unintended array reuse

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* Small fixes

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* Re-implement dtype conversion

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* Fix for control dependencies execution (dependency tracking)

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* Fix TF import overrides and filtering

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* Fix for constant enter array dependency tracking

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* DL4J Fixes

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* More DL4J fixes

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* Cleanup and polish

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* More polish and javadoc

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* More logging level tweaks, small DL4J fix

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* Small fix to DL4J SameDiffLayer

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* Fix empty array deserialization, add extra deserialization checks

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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests

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* Variable control dependencies serialization fix

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* Fix issue with removing inputs for ops

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* FlatBuffers NDArray deserialization fix

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* FlatBuffers NDArray deserialization fix

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* Small fix

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* Small fix

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* Final cleanup/polish

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2019-10-23 21:19:50 +11:00
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
Alex Black 6cc887bee9
Rename flatbuffers DataType to DType (#228)
* Rename flatbuffers DataType enum to DType

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* Rename flatbuffers DataType enum to DType

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* Updates for flatbuffers datatype enum renaming

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2019-09-04 16:36:11 +10:00
raver119 d871eab2e5
[WIP] latest update (#8145)
* [WIP] maxpool2d_bp fix (#160)

* one test for maxpool2d_bp

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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution

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* MLN/CG: Don't swallow exceptions if a second exception occurs during workspace closing (#161)

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* Upgrade protobuf version (#162)

* First steps for protobuf version upgrade

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* Phase 2

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* Update imports to shaded protobuf

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* Version fix

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* Switch to single execution for protobuf codegen to work around plugin bug

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* Automatically delete old PB generated files after name change

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* - string NDArray flat serde impl + tests (#163)

- string NDArray equalsTo impl

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* get rid of context variable

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* lup context fix (#164)

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2019-08-24 16:59:30 +03:00
raver119 f49c4ea9d0
int -> long (#108)
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2019-08-10 09:14:18 +03:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

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* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

* start working on cuda svd - porting available corresponding api from cuSOLVER library

Signed-off-by: Yurii <yurii@skymind.io>

* provide prelu_bp

Signed-off-by: Yurii <yurii@skymind.io>

* - provide gruCell_bp (old version ??)

Signed-off-by: Yurii <yurii@skymind.io>

* - polishing cumsum_bp and cumprod_bp tests

Signed-off-by: Yurii <yurii@skymind.io>

* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

Signed-off-by: Yurii <yurii@skymind.io>

* Refactored lup helper to add parrallel computing.

* cusolver libraries

Signed-off-by: raver119 <raver119@gmail.com>

* uncomment cuSolver APIs in svd.cu

Signed-off-by: Yurii <yurii@skymind.io>

* cusolver var

Signed-off-by: raver119 <raver119@gmail.com>

* - further work on cuSolver svd

Signed-off-by: Yurii <yurii@skymind.io>

* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

Signed-off-by: Yurii <yurii@skymind.io>

* correct svdQR cuda

Signed-off-by: Yurii <yurii@skymind.io>

* - provide transpositions of input matrices in case of c order in svdCudaQR

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed implementation issues with LUP usign cuda solver.

* Implementation of matrix_determinant helper with cuda kernels. Working revision.

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

Signed-off-by: Yurii <yurii@skymind.io>

* Refactored cholesky helper and implementation of cuda solver cholesky batch.

* - implementation of cuda kernel for tile bp

Signed-off-by: Yurii <yurii@skymind.io>

* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed cholesky helper.

* Cholesky op helper implementation. Working double-based cublas implementation.

* bad import excluded

Signed-off-by: raver119 <raver119@gmail.com>

* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

Signed-off-by: Yurii <yurii@skymind.io>

* Implementation of matrix_inverse op helper with cuda kernels. The first revision.

* - start working on gruCell_bp

Signed-off-by: Yurii <yurii@skymind.io>

* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

Signed-off-by: Yurii <yurii@skymind.io>

* cuBLAS related fixes

Signed-off-by: raver119 <raver119@gmail.com>

* calculateOutputShapes() now passes device buffers as well

Signed-off-by: raver119 <raver119@gmail.com>

* special concat/average/accumulate init host pointers now

Signed-off-by: raver119 <raver119@gmail.com>

* few more tweaks

Signed-off-by: raver119 <raver119@gmail.com>

* additional CudaDataBufferFactory signatures certain for data types

Signed-off-by: raver119 <raver119@gmail.com>

* cuSolver host buffer

Signed-off-by: raver119 <raver119@gmail.com>

* buffer to buffer memcpy host ptr allocation

Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:05:21 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00