Commit Graph

199 Commits (722d5a052af17f19dcd42ef923b9a5b63ab2cbee)

Author SHA1 Message Date
raver119 5d69069177
[WIP] Memory limits (#167)
* initial commit

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* one more initial commit

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* additional initial commit

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* subsequent initial commit

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* initial commit testing

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* initial commit per device

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* initial commit per group

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* initial commit for cuda

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* initial commit for cuda + few missed lines

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* initial commit for cuda + missed includes

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* initial commit for cuda + one more missed include

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* initial commit shouldn't count host mem as dev0 in cuda

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* initial commit that tracks HOST group limits for CUDA

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* initial commit with some Environment changes

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* initial commit with more Environment changes

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* initial commit with maxMasterThreads fix

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* initial commit with maxMasterThreads fix

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* initial commit without maxMasterThreads exception

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* initial commit without Nd4jULong in Environment

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* add sleep and more iterations for OOM cases

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* limits propagation from java side

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* - consume ErrorCode every time
- one test for memory limits

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* unordered_map

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* unordered_map

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* unordered_map

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* RSub op mapping fixed

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* typo fixed

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* one bad test fixed

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2020-01-24 10:11:09 +03:00
Alex Black a25bb6a11c
Unit/integration test split + test speedup (#166)
* Add maven profile + base tests methods for integration tests

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* Switch from system property to environment variable; seems more reliable in intellij

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* Add nd4j-common-tests module, and common base test; cleanup

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* Ensure all ND4J tests extend BaseND4JTest

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* Test spam reduction, import fix

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* Add test logging to nd4j-aeron

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* Fix unintended change

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* Reduce sprint test log spam

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* More test spam cleanup

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* Significantly speed up TSNE tests

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* W2V iterator test unit/integration split

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* More NLP test speedups

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* Avoid debug/verbose mode leaking between tests

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* test tweak

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* Arbiter extends base DL4J test

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* Arbiter test speedup

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* nlp-uima test speedup

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* More test speedups

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* Fix ND4J base test

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* Few small ND4J test speed improvements

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* DL4J tests speedup

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* More tweaks

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* Even more test speedups

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* More tweaks

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* Various test fixes

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* More test fixes

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* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest

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* nd4j-aeron test profile fix for CUDA

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2020-01-22 22:27:01 +11:00
shugeo 815a2908af Shugeo solve triangular (#173)
* Added implementation of the triangular_solve op.

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* Fixed compilation issues.

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* Added verification of input data and helpers facilities for triangular_solve op.'

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* Added cpu implementation for triangular_solve helpers.

* Added tests and implementation for upper triangular equations.

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* Added a pair of cases to tests.

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* Added multithreading with cpu helpers for triangular_solve op.

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* Added cuda implementation of triangular_solve op helpers.

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* Finished cuda implementation of triangular_solve helpers and tests.

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* Fixed copyright marks.

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* Corrected grammar errors with doc and error messages.

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* Refactored matricies processing with triangular_solve cuda helper implementation.

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* Added triangular_solve wrapper

* Fixed mapping

* Added processing for adjoint with cpu helpers of triangular_solve op implementation.

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* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:48:03 +03:00
shugeo e50b285c2c Shugeo resize area (#162)
* Added implementation for resize_area op. Initial commit.

* Added implementation of resize_area op. Initial revision.

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* Corrected resizeArea functor call.

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* Implementation of resize_area. Cpu platform helpers.

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* Implementation for resize_area helpers. The first part revision.

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* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* Adding multithreading for resize_area algorithm.

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* Cuda implementation of resize_area helpers. Shared memory approach.

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* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

* ResizeArea helpers for cuda platform. The first working revision.

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* Added test for batched resize_area op testing.

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* Implementation of resize_are for cuda platform and tests.

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* Fixed multithreading with resize_area op helper.

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* Corrected copyright marks with sources.

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* Corrected copyright mark for resize_area op implementation.

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* Corrected copyright mark for parity ops header.

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* Corrected typo in strings and so on with image resize ops.

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* Refactored resize_area helpers and multithreading.

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* Added ResizeArea wrapper

* Added test with align_corners and fixed shape processing with only int args given for output size.

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* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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* Refactored image resizer struct to use flexible types for ints and floats.

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* Improved multithreading with resizeAreaKernel launch.

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* Use asynchronical memory copying with cuda platform image resize allocations.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:46:33 +03:00
Oleh 8fc0e63ce7 Oleh powderev (#171)
* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 some bug fixes, the PowDerevative op made broadcastable, add the raw tests for op, need refactoring to use broadcast ops

* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed several bugs add broadcast support and tests, need to fix scalar+array and array+scalar

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* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests

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* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated

* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast

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* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing

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* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review

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* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up

* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar

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* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests

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* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up

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* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization

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* pow_bp wrapper

* Fixed PowBp wrapper

* Tests added

* Test fixed

* Fix return type

* Disable powBp usage

* Pow backprop changed

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:59:12 +03:00
shugeo 6943a5f57a Shugeo lgamma (#170)
* lgamma op. Initial version.

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* Refactored lgamma op and test.

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* Lgamma wrapper

* Added TF mapping

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2020-01-20 12:29:36 +03:00
Alex Black c84307a6fe
Small SameDiff execution fix (#168)
* SameDiff exec: Fix for switch op when predicate is constant, and op is inside loop

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* Update ignores for failing zoo models

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2020-01-08 23:57:23 +11:00
raver119 29e8e09db6
String changes (#3)
* initial commit

* additional data types & tensor type

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* next step

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* missing include

* sparse_to_dense

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* few more tests files

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* draft

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* numeric sparse_to_dense

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* comment

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* string sparse_to_dense version

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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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* few rearrangements for databuffer implementations

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* DataBuffer: move inline methods to common implementations

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* add native DataBuffer to Nd4j presets

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* DataBuffer creation

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* use DataBuffer for allocation

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* cpu databuffer as deallocatable

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* DataBuffer setters for bufers

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* couple of wrappers

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* DataBuffers being passed around

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* Bunch of ByteBuffer-related signatures gone

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* - few more Nd4j signatures removed
- minor fix for bfloat16

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* nullptr pointer is still a pointer, but 0 as address :)

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* one special test

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* empty string array init

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* one more test in cpp

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* memcpy instead of databuffer swap

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* special InteropDataBuffer for front-end languages

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* few tweaks for java

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* pointer/indexer actualization

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* CustomOp returns list for inputArumgents and outputArguments instead of array

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* redundant call

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* print_variable op

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* - view handling (but wrong one)
- print_variable java wrapper

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* one more test

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* - empty arrays handling

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* - deserialization works now

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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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* new CUDA deallocator

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* CUDA backend torn apart

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* CUDA backend torn apart 2

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* CUDA backend torn apart 3

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* - few new tests
- few new methods for DataBuffer management

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* few more tests + few more tweaks

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* two failing tests

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* one more test

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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
Robert Altena 53d3bd1269 shallow delete of assign from SDBase. (#164)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2020-01-04 15:26:39 +11:00
Alex Black 29104083cc
Various fixes (#143)
* #8568 ArrayUtil optimization

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* #6171 Keras ReLU and ELU support

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* Keras softmax layer import

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* #8549 Webjars dependency management

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* Fix for TF import names ':0' suffix issue / NPE

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* BiasAdd: fix default data format for TF import

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* Update zoo test ignores

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* #8509 SameDiff Listener API - provide frame + iteration

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* #8520 ND4J Environment

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* Deconv3d

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* Deconv3d fixes + gradient check

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* Conv3d fixes + deconv3d DType test

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* Fix issue with deconv3d gradinet check weight init

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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16

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* DataType.isNumerical() returns false for BOOL type

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* #8504 Reduce Spark log spam for tests

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* Clean up DL4J gradient check test spam

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* More Gradient check spam reduction

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* SameDiff test spam reduction

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* Fixes for FlatBuffers mapping

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* SameDiff log spam cleanup

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* Tests should extend BaseNd4jTest

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* Remove debug line in c++ op

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* ND4J test spam cleanup

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* DL4J test spam reduction

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* More Dl4J and datavec test spam cleanup

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* Fix for bad conv3d test

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* Additional test

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* Embedding layers: don't inherit global default activation function

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* Trigger CI

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* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class

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* Test fixes and timeout increases

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* Timeouts and PReLU fixes

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* Restore libnd4j build threads arg for CUDA build

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* Increase timeouts on a few tests to avoid spurious failures on some CI machines

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* More timeout fixes

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* More test timeout fixes

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* Tweak timeout for one more test

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* Final tweaks

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* One more ignore

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2020-01-04 13:45:07 +11:00
Alexander Stoyakin 010744ef9c Lu wrapper and tests fixes (#144)
* Tests fixed

* Lu added

* Test fixed

* Default timeout

* Tests timeouts fixed.

* TF import fix

* Timeouts added

* Timeout fixed.

* Test corrected

* rgb and yiq conversion ops added

* Converter ops added

* Header

* Yuv converters

* API added

* Empty test for matmul

* Explanation

* skip gemm/gemv on empty inputs

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* Test added

* Correct test

* one more empty pass-through for mmul

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* Cleanup

* Test added

* Test fixed

* Added missing mapping

* Added missing mapping

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2019-12-30 15:06:12 +03:00
Alex Black ce02b6fae7
Small fixes (#140)
* Allow scalar op result array auto allocation

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* Don't swallow underlying exception for calculateOutputShape execution failures

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* Ignore for known keras failure

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2019-12-21 17:00:46 +11:00
Alexander Stoyakin 6d8a063c9b nd4j-tests cleanup (#137)
* Fixed tests

* Invalid test removed
2019-12-20 16:38:33 +03:00
Alex Black 3d8f6d50a1
SameDiff profiler / tracing and profile analysis/comparison (#133)
* Profiler

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* Next steps, polishing, and loading SD/TF format JSON

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* Next steps

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* Profile comparison method

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* Make profiling result writing async to reduce main thread overhead

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* Profiling polishing

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* Fix

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* Profile analyzer fixes

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* Polish

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* Cleanup

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* Small formatting improvement

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* Formatting tweak

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* License headers

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2019-12-19 23:43:58 +11:00
Alexander Stoyakin f5068f3980 Added missing Java ops wrappers (#122)
* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Fused batch norm fixes-

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tests switched off.

* Added test for resize_bicubic.

* Eliminated wasted in test of bicubic resize.

* Switched off multithreading explicit.

* HsvToRgb and RgbToHsv added

* Eliminated waste comments and conform proper float constants.

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

* Fixed multithreading with resize_bicubic helper for cpu platform.

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

* ResizeBicubic was fixed.

* Some fixes

* Fix op name

* Validation fixed.

* Clarifications for tests

* Wrappers and small fixes for new ops.
2019-12-19 20:15:48 +11:00
AlexDBlack 0df1b46c8c Merge 2019-12-10 15:08:50 +11:00
raver119 a5f5ac72b1
reduce bool changes (#118)
* reduce bool changes

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* reduce bool tweaks

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2019-12-09 20:08:59 +03:00
Alexander Stoyakin 927d591421 ResizeBicubic added (#117)
* ResizeBicubic added
Some fixes.

* Test fixed

* Narrowed argument type changed to boolean

* Clean up
2019-12-09 18:25:39 +11:00
raver119 b32dd1bf92
[WIP] resize_bicubic types (#116)
* resize_bicubic: allow more dtypes

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* resize_bicubic: allow less dtypes

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* Refactored resize_bicubic op to full conform with TF1.5 and tests.

* Corrected test to proper data type output.

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* Corrected double input test to float constant outputs.

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* Finished with correction of tests for bicubic interpolated resizes expected.

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

* Fixed adjust_contrast ops to allow non-RGB inputs.

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* Refactored adjust_contrast_v2 to conform with TF one.

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* AdjustContrast tests activated

* two typos fixed

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2019-12-06 18:58:37 +03:00
raver119 972fae60dc
Update master (#8511)
* cleaned up bert iterator tests (#110)

Signed-off-by: eraly <susan.eraly@gmail.com>

* Various pre-release fixes (#111)

* Various fixes

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* Fix default dtypes for MaxPoolWithArgmax

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* Small pre-release tweak (#112)

* Log UI address on launch as in previous Play-based UI

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* Logging level tweak for UI

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* http not https

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* datavec python ensure host (#113)

* ensure host

* one more host ensure

* info->debug

* [WIP] reverse improvements (#115)

* initial commit

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* reverse draft

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* reverse kernel

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* reverse kernel

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* 2 micro fixes

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* Shugeo resize fix5 (#102)

* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 11:10:44 +03:00
Robert Altena e7730eded4 delete unused and refactor. (#8262)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-12-05 22:25:41 -05:00
shugeo e09a785232 Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
Alex Black 2052ce7026
Various pre-release fixes (#111)
* Various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix default dtypes for MaxPoolWithArgmax

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-05 14:20:03 +11:00
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
Alexander Stoyakin 5e152c0d9a TF import tests - adding missing operations (#65)
* Add and fix mappings.

* Intermediate

* Added and fixed some mappings

* Added op

* Missing constructors added.

* Added new mappings

* SDImage wrappers and minor tweaks.

* Added missing constructor

* Some corrections

* Cleanup

* Small fixes

* Ops wrappers

* Minor fixes.

* Max Pooling

* MaxPoolWithArgmax

* Some fixes

* Ignores for failures

* Some ops fixed.

* Some fixes

* Missing package added

* Some fixes

* Ignored tests fixed.

* Some fixes

* Merge master

* bitcast fix

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

* Bitcast fixed
2019-12-02 21:23:06 +11:00
Alex Black 2be47082c9
#8470 TrainingConfig json fix for Evaluation instances (#93)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 20:08:30 +11:00
Alex Black 35ab4a72ba
TF import test resources loading precision fixes (#92)
* Fix precision issues when loading from CSV

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 18:58:37 +11:00
Alex Black 4fb9fa7748
Add ND4J namespaces (#83)
* Add NDValidation

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* Add bitwise namespace

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* Math namespace op constructor fixes

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* Constructor fixes

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* Add Math namespace

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* Update NDBitwise

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* Add random namespaces

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* Update

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* NN namespace

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* Small cleanup

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2019-11-30 18:39:32 +11:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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

* - add additional tests for causal conv1d

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

* - add causal mode for cuda conv kernels

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* Java side of Conv1D changes

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* Add Conv1DDerivative op

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* Causal Conv1D gradient checks

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* Tweaks

Signed-off-by: Alex Black <blacka101@gmail.com>

* - add causal padding mode to conv2d_bp

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

* More thorough causal conv1d tests

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
Samuel Audet 5e07998e59 Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
Alex Black abd2017a0a
Add ignore for known issue with non_max_suppression_v2/float16 test (#85)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-27 16:35:05 +11:00
raver119 aa44fd6850 one more BitCast test
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2019-11-25 08:52:11 +03:00
Alex Black e910ce75ec
Various Fixes (#75)
* #8431 Cast loss function weights array automatically

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* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'

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* Class import mapping fix

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* Reshape fixes

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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)

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2019-11-23 20:06:12 +11:00
Alex Black 4a2fedf3e7
DL4J: Add Sparse multi-class cross entropy loss function (#72)
* #8432 Add sparse mcxent loss

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* Fixes for LossSparseMCXENT

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* add simple debugging listener for SameDiff exec debugging

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* Extra gradient check + header polishing

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-22 18:54:31 +11:00
raver119 064a56ccf1
Few fixes (#66)
* skip legacy transforms execution in case of empty input arrays

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* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads

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* java side

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* trigger jenkins

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* update LessThanOrEqual opNum mapping

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* update LessThanOrEqual opNum mapping

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2019-11-21 15:43:03 +03:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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* Create op and mapping for it

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2019-11-21 13:31:20 +03:00
Alex Black da1944e8e1
SameDiff TF import (#49)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Minor fix

* Some TF imports disabled.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* adjust_contrast

* Small fix for TF import expected value loading when variable name starts with the test name

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tests

* Tests added.

* Removed tf names absent in mapping.

* Some fixes.

* Small fixes

* Minor change

* Some failing tests.

* Disable failed test

* Ignore some tests

* Fix import class mapping

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix float property mapping (flatbuffers)

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* Override equality function for model 'dropout'

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* Fail tests

* Failed tests ignored temporarily.

* Minor fixes

* Small fix

* Conflict resolved

* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
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
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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* #8308 Fix handful of broken links (inc. some in errors)

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* Unused dependencies, round 1

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* Unused dependencies, round 2

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* Unused dependencies, round 3

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* Small fix

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* Uniform distribution TF import fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-14 19:38:20 +11:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* 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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2019-11-12 21:15:44 +11:00
AlexDBlack 0107fb10ab Merge remote-tracking branch 'konduit/master' 2019-11-08 18:11:45 +11:00
Alex Black 2f84ea666d
Uniform distribution op tweaks + 'specified output dtype' constructor (#38)
* Uniform distribution op tweaks + 'specified output dtype' constructor

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Validation tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-08 18:08:25 +11:00
Alex Black 24980efde3
Fix LogSumExp along dimension (#35)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-07 23:36:15 +11:00
longzhendong 52c9918c6f Testing slice and concat (#8362) 2019-11-07 14:47:37 +11:00
Alex Black 948ebef41c
Op Fixes (#28)
* #8280 biasadd_bp nchw arg fixes (java side) + test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8285 Concat op Java side fixes

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* Concat op cpp fix - allow dynamic axis to be negative, same as static axis

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* ignores for deconv3d import tests until deconv3d_tf op is implemented

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2019-11-05 00:05:04 +11:00
AlexDBlack 2844f8b69a Merge remote-tracking branch 'konduit/master' 2019-11-02 19:00:47 +11:00
Alex Black 9efd811508
Use DL4J workspaces for SameDiff layers in MLN/CG (#23)
* #8329 DL4J workspace integration for SameDiff layers

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix bug for Nd4j.createUninitializedDetached for scalars (length 0 shape array)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff output layer, graph vertex, various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 17:42:01 +11:00
Alex Black d82877b18b
Various SameDiff fixes (#21)
* MKLDNN LSTM forward implementation (disabled pending #8331)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8318 add SameDiff.calculateGradientsAndOutputs

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Disable mkldnn backprop for now - pending fix, issue #8335

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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement

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* Small FlatBuffers serde fix, UInt8

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* #8135 ImagePreProcessingScaler - add segmentation support

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* #8319 Ensure listeners are called when they are supposed to be called

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* #8214 UNet (non-pretrained) last conv layer kernal size fix

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2019-11-02 11:25:53 +11:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15)
* Int cast fixes.

* Revert "Int cast fixes."

This reverts commit aa36e8ca

* Int casts

* Int cast

* Int casts

* Get rid of int casts. Dropping deprecated aggregate ops.

* java scatterUpdate changes

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* c++ scatterUpdate changes

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* Remove aggregated ops.

* Restored test

* Tests restored.

* Minor fixes
2019-10-31 11:23:09 +02:00
raver119 5a4d2e8b31
[WIP] SVD (#16)
* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op

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

* shapes fixed

Signed-off-by: raver119 <raver119@gmail.com>
2019-10-28 12:31:01 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12)
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff API cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More SameDiff cleanup

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* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour

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* #8252 TanhDerivative javadoc

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* #8225 Deconvolution2D input validation

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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'

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* #8224 SameDiff.zero and .one create constants, not variables

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* More cleanup and fixes

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* Small test fix

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* Small fix

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* DL4J SameDiff fixes

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* Re-add hack for Deconvolution2DLayer until #8315 is resolved

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property

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* All ND4J init logging checks system property

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* Small tweak

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* Remove redundant device logging

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* One more fix

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* UX improvements

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* Deconv fix

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* Add deconv tests

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* Cleanup

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* Remove debug code

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Round 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* 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

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* 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

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-23 21:19:50 +11:00
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Alexander Stoyakin d5002b14c7 New ops wrappers 2019-10-16 12:59:08 +03:00
Alex Black b9a4b0f25f
Update links (#8292)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
Robert Altena 50b13fadc8 nd4j-api cleanup. (#8273)
* nd4j-api cleanup.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* restore deleted schemes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-08 21:48:22 +11:00
Alex Black f98f8be7b6
SameDiff ops (#8247)
* update javadocs and a few method signatures

Signed-off-by: Ryan Nett <rnett@skymind.io>

* add PRelu op

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test and fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* add PRelu op

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test and fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* slightly better test

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-19 11:52:20 +10:00
Robert Altena 83d958d536 Sparse matrix refactoring. (#8238)
* remove sparse method from INDArray.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove gemm

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove useage of n4j.sparseFactory

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Nd4j.sparseFactory removed.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* sparseNDArray deleted.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* iremove more sparse calls and constants.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove SparseBlasWrapper.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* delete BaseSparseBlaswrapper.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove 3 sparse factory classes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* delete SparseCPULevel.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* deletes JcusparseLevel, CUDASparselevel.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* delete nativeCPU sparse classes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removes sparse methods from NDArrayFactory.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* more deletes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* delete (ignored) tests. BaseSparseNDArray.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* deletes ISparseNDArray.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove sparse methods from indArray.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* deletes sparse classes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-17 22:56:29 +03:00
raver119 979ef13c0b fix build issues
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-13 11:55:13 +03:00
raver119 2bd69c004c
[WIP] Fixed signatures. SameDiff tests (#258) (#8233)
* Fixed signatures. SameDiff tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Tests fixed

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Test fixed

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Small fix

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Fixed test

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-09-12 19:25:03 +03:00
Alex Black 3e73e9b56e
Fixes, cleanup, enable now fixed tests, etc (#254)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-11 23:37:24 +10:00
Ryan Nett 8a05ec2a97
Fix a couple SameDiff training issues (#253)
* fix execBackwards training issue

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix validation not specifying outputs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* another fix for validation listeners and history

Signed-off-by: Ryan Nett <rnett@skymind.io>

* tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* add single batch dataset output methods

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-10 20:38:23 -07:00
Alex Black b582e69e3b
Small ND4J/SameDiff fixes (#248)
* #8218 Fix Nd4j.hstack rank 1 case

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8209 SameDiff: don't allow empty arrays (with 0s in shape) for variables

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-09 22:54:07 +10:00
Alex Black 87d873929f
Small LapackTest fix (#240)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 14:25:20 +10:00
Ryan Nett 79867f5c5a cleanup SDRNN and rnn ops (#238)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-05 12:25:03 +10:00
Robert Altena f25e3e71e5 remove lengthLong (#236)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
Ryan Nett e9454b8882
SDCNN cleanup pass (#230)
* SDCNN cleanup

Signed-off-by: Ryan Nett <rnett@skymind.io>

* NonNull annotations

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better javadoc, NonNull fix for sconv

Signed-off-by: Ryan Nett <rnett@skymind.io>

* update builders to fix names

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* even more fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix for null bias

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-04 00:44:01 -07:00
Alex Black 82c9dc5743
ELU fix (#219)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
raver119 b71c993ded
[WIP] maxpool_bp cuda fix (#212)
* one test for alex

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

* fix

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* get rid of safety offset in cpp

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* bfloat16

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* minor test rearrangement to fastpath launch

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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-31 20:57:05 +03:00
Robert Altena 54e320a255 javadoc (#201)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-30 22:40:27 +10:00
Alex Black dcc2baa676
Version upgrades (#199)
* DataVec fixes for Jackson version upgrade

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J jackson updates + databind version 2.9.9.3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Shade snakeyaml along with jackson

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Version fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Switch DataVec legacy JSON format handling to mixins

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Next set of fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Cleanup for legacy JSON mapping

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade commons compress to 1.18; small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* New Jackson backward compatibility for DL4J - Round 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* New Jackson backward compatibility for DL4J - Round 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More fixes, all but legacy custom passing

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Legacy deserialization cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small amount of polish - legacy JSON

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade guava version

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* IEvaluation legacy format deserialization fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade play version to 2.7.3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Update nd4j-parameter-server-status to new Play API

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Update DL4J UI for new play version

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More play framework updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Remove Spark 1/2 adapter code from DataVec

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* datavec-spark dependency cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 4

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Another fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Breeze upgrade, dependency cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add Scala 2.12 version to pom.xml

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* change-scala-versions.sh - add scala 2.12, remove 2.10

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Move Spark version properties to parent pom (now that only one spark version is supported)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DataVec Play fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* datavec play dependency fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Clean up old spark/jackson stuff

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Cleanup jackson unused dependencies

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Dropping redundant dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed scalaxy dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* DataVec fixes for Jackson version upgrade

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J jackson updates + databind version 2.9.9.3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Shade snakeyaml along with jackson

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Version fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Switch DataVec legacy JSON format handling to mixins

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Next set of fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Cleanup for legacy JSON mapping

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade commons compress to 1.18; small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* New Jackson backward compatibility for DL4J - Round 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* New Jackson backward compatibility for DL4J - Round 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More fixes, all but legacy custom passing

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Legacy deserialization cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small amount of polish - legacy JSON

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade guava version

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* IEvaluation legacy format deserialization fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade play version to 2.7.3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Update nd4j-parameter-server-status to new Play API

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Update DL4J UI for new play version

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More play framework updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Remove Spark 1/2 adapter code from DataVec

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* datavec-spark dependency cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J spark updates, pt 4

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Another fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Breeze upgrade, dependency cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add Scala 2.12 version to pom.xml

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* change-scala-versions.sh - add scala 2.12, remove 2.10

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Move Spark version properties to parent pom (now that only one spark version is supported)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DataVec Play fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* datavec play dependency fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Clean up old spark/jackson stuff

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Cleanup jackson unused dependencies

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add shaded guava

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Dropping redundant dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed scalaxy dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* ND4J Shaded guava import fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DataVec and DL4J guava shading

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter, RL4J fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Build fixed

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Fix dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Fix bad merge

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Jackson shading fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Set play secret, datavec-spark-inference-server

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix for datavec-spark-inference-server

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 14:35:27 +10:00
Serhii Shepel 0463ee4eba Fix backend dependencies for tests (#189) 2019-08-29 12:54:48 +09:00
raver119 f4860574d7
[WIP] More fixes (#190)
* Refactored kernels for segment_max/min/sum ops.

* Refactored segment_prod kernels.

* Refactored segment_prod kernels.

* DynamicPartition test

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

* Addede linear test for dynamic_partition op.

* Refactored test with int datatype.

* some logging

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

* some logging

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

* some logging

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

* dynamicPartition fix

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

* get rid of some logging

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

* one more test for dynamic_stitch

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

* one more test for dynamic_stitch

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

* empty check for stitch

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

* minor print changes

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-28 15:38:57 +03:00
Ryan Nett 2a1431264f
Remove calculate output shape from java side (#151)
* remove some unneeded java-side output shape calculations

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Broadcast

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Linear and Module,

Signed-off-by: Ryan Nett <rnett@skymind.io>

* update Identity, HashCode, and NoOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* removed Cast java-side shape function, added tests and SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* ignoring test w/ issues on master

Signed-off-by: Ryan Nett <rnett@skymind.io>

* noop needs more work, fixed BaseArithmeticBackprop and BaseDynamicTransform ops

merge in master for c++ build fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix EqualTo

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix other cond ops

Signed-off-by: Ryan Nett <rnett@skymind.io>

* "fake" ops calculateOutputShape() throws exception

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use c++ shape calc for Linspace

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix exception message, move most to BaseCompatOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove commented out code

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-27 20:39:32 -07:00
Alex Black b46f9827b8
Layer norm test updates (#187)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-28 13:27:00 +10:00
Robert Altena 59a6e4e3ae
INDArray refactoring (#170)
* javadoc

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove javaTensorAlongDimension

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* javadoc
2019-08-28 12:03:23 +09:00
raver119 b472d7d8c8
[WIP] few more fixes (#182)
* one noop test

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

* skip input validation for no-input ops

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

* - one more noop empty test
- one more validation before sync

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

* typo

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

* one more validation fix

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

* CUDA empty reductions java side

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

* one svd test

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

* Corrected segment_mean helpers and added another test.

* Refactored segment_mean kernels to avoid race_condition.
2019-08-27 21:00:38 +03:00
Alex Black dff599aa8f
Test fix (#179)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-27 20:43:36 +10:00
Alex Black dce4751fc1
Layer norm 4d case fixes (#174)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-27 18:34:53 +10:00
raver119 df84bc7255
[WIP] More tweaks (#173)
* CUDA empty reduction

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

* - listdiff synchronization fix for CUDA
- listdiff test

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

* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 10:37:10 +03:00
Alex Black e92f7218f3
Add new tests (#171)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-27 12:15:56 +10:00
raver119 25e5c23eae
[WIP] Error handling (#169)
* CUDA reverse rewrite + couple of tests

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

* don't throw exception on invalid pointer

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

* data types validation for fastpath exec mode + 2 tests

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

* data types validation for fastpath exec mode + 2 tests

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

* ismax allowed dtypes tweak

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

* lastErrorCode + lastErrorMessage for native exceptions handling

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

* exportable ErrorReference

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* check error codes in java

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

* - consume lastErrorCode
- fast_in dtype validation fix

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

* - sg/cb allowed output type change
- minor logging fix for data type validation

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:57:51 +03:00
raver119 bb5fc36e5e
[WIP] ops fixes (#168)
* - correct layer_norm

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

* - further fix of layer norm

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

* - correct scatter_upd op

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

* - correct cuda kernel for histogram_fixed_width op

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

* - delete comments

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

* enabled one ignored test

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:37:05 +03:00
Alex Black b417ca21bf
Fix for concat op shape function (empty shapes) (#167)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-26 23:10:28 +10:00
Alex Black d607bec6f9
Small test fixes (#165)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-26 11:45:33 +10:00
raver119 f8364997c0
[WIP] maxpool2d_bp fix (#160)
* one test for maxpool2d_bp

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

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

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-24 09:20:57 +03:00
raver119 f03b0ee78f
[WIP] more fixes (#159)
* Added test for MatrixInverse with double input. Fixed matrixDeterminantKernel.

* Fixed kernels to avoid waste templating.

* Fixed logDeterminant kernel.

* Refactored type check for lup'

* - decrease blockDim value for zeta op

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

* Added print for compound matrix with CUDA.

* Refactored upper matrix invertion kernels.

* - provide move constructor and move assignment operator for OpArgsHoder class

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

* Refactored usage of launch context.

* - add test for mergemax

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

* get rid of AveragingArrayProxy

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

* Refactoring of LUP inversion.

* Added prints for invertion.

* - add OpArgsHolder copy constructor and assignment operator

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

* Added test for lower inversion

* - fix bug in upsampling2d/3d_bp op

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

* Added expensive printfs to kernel.

* Refactored expensive kernel prints.

* Refactored expensive printfs

* - remove nullify

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

* Eliminated waste prints with tests.

* upsampling2d_bp test

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

* test updated

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 19:20:50 +03:00
raver119 99cdf6d42b - cpu isMax fix for multidim case + test
- INDArray.wasClosed() fix for empty array edge case

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 18:44:37 +03:00
raver119 729dc5e879
[WIP] size etc (#155)
* one test for size

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

* - few tests for size op
- size/rank/size_at ops now use p instead of assign

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 12:31:12 +03:00
raver119 243bf866c4
[WIP] Few fixes (#153)
* throw exception if op execution failed

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

* expected for test

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

* one more ismax test

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

* ismax view fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 09:00:10 +03:00
Alex Black 80d35377d4
SameDiff cleanup and fixes (#150)
* Cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SDVariable no longer extends DifferentialFunction

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8123 Remove cloning library to avoid 'illegal reflective access' warnings

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8095 Make Pooling3D abstract, fix flatbuffers serialization issue

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8117 WordVectorSerializer deprecated method javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Final fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* One more

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-23 15:09:53 +10:00
raver119 930b49e87f
[WIP] DeviceLocalNDArray updates (#149)
* ContextBuffers are released upon device change

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

* DeviceLocalNDArray updates + tests

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

* special array for delayed mode

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

* additional detach()

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-22 20:01:29 +03:00
Alex Black 9c2bfc9863
Various fixes (DL4J, ND4J) (#147)
* Import fixes, IsMax dtype calc, small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SubsamplingLayer fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J - SpaceToBatch layer updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-22 16:16:03 +10:00
Robert Altena ca7e5593ec
ND4J: Remove Nd4j.trueScalar/trueVector (#145)
* merge conflict.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove/replace trueVector

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-22 10:49:30 +09:00
Ryan Nett 2b0d7b3b52
[WIP] Various fixes, mostly SameDiff/Nd4j (#110)
* Nd4j pad update

Signed-off-by: Ryan Nett <rnett@skymind.io>

* switched from guava Immutables to Collections.unmodifiableList/Map

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use new pad

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv tests use OpValidation

Signed-off-by: Ryan Nett <rnett@skymind.io>

* deconv3d overrides

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test fix for the new pad method

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* rename SameDiff function methods to op (except for the actual SameDiff function ones)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more pad overloads, test fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test updates

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv1d test

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove Conv1D tf import (there isn't a TF conv1d op)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove numThreads from Nd4j

Signed-off-by: Ryan Nett <rnett@skymind.io>

* replace Old ops with their newer versions, deprecate ones that haven't already been deprecated

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove use of setNumThreads

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix for Reverse and ATan2

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix test for wrong equals type

Signed-off-by: Ryan Nett <rnett@skymind.io>

* well it works now

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better javadocs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* NonNulls

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better array literal

Signed-off-by: Ryan Nett <rnett@skymind.io>

* re-add tf import stuff (will remove later)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv1d config load fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* partial config usage changes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove Old op classes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* config property fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* removed one too many ops

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-21 16:40:32 -07:00
raver119 77805cb7fa
[WIP] cpu ismax fix (#137)
* cpu ismax fix

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

* bunch of smaller scalar tests

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-21 10:12:11 +03:00
raver119 269d508ba5
[WIP] cross-device migrations (#134)
* two more tests fixed

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* 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
Robert Altena 38310777ee
fix for eclipse#8087 (#129)
*  fix for #8087

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* remove commented code.

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* removing trueScalar.

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* wip

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* wip

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* wip

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* remove tueScalar.

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2019-08-20 15:20:40 +09:00
raver119 b8ab1a00b0 - 2 mod tests
- ModOp mapping added

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2019-08-19 12:57:24 +03:00
raver119 aceb915557
[WIP] tests fixes (#130)
* no openmp for ClipByGlobalNorm

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* one more bfloat16 rng test

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* assertion fix

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* - legacy IsMax gone
- linear IsMax gets shapeInfo argument

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* get rid of legacy IsMax tests

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* IsMax is custom op now

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* more blocks for ismax

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* one more test

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*  - sqrt test
 - some legacy code removed from CudaExecutioner
 - Transforms.asin tweaks

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* - TransformFloat fix

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* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed

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2019-08-19 11:33:15 +03:00