Commit Graph

196 Commits (18d4eaa68deb9819525b092fe6091e66ecfbbb6b)

Author SHA1 Message Date
shugeo e50b285c2c Shugeo resize area (#162)
* Added implementation for resize_area op. Initial commit.

* Added implementation of resize_area op. Initial revision.

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

* Corrected resizeArea functor call.

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

* Implementation of resize_area. Cpu platform helpers.

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

* Implementation for resize_area helpers. The first part revision.

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

* Added a set of tests for resize_area op.

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

* Cuda implementation for resize_area. Initial approach.

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

* Adding multithreading for resize_area algorithm.

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

* Cuda implementation of resize_area helpers. Shared memory approach.

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

* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

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

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

* Added test for batched resize_area op testing.

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

* Implementation of resize_are for cuda platform and tests.

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

* Fixed multithreading with resize_area op helper.

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

* Corrected copyright marks with sources.

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

* Corrected copyright mark for resize_area op implementation.

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

* Corrected copyright mark for parity ops header.

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

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

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

* Refactored resize_area helpers and multithreading.

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

* Added ResizeArea wrapper

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

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

* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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

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

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

* Improved multithreading with resizeAreaKernel launch.

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

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

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

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

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

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

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

* 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

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

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

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

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

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

* 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

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

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

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

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

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

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

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

* 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.

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

* Refactored lgamma op and test.

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

* Lgamma wrapper

* Added TF mapping

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
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

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

* 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

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

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* 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

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

* 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

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* - add causal mode for cuda conv kernels

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* Java side of Conv1D changes

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* Add Conv1DDerivative op

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

* Causal Conv1D gradient checks

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* Tweaks

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

* - add causal padding mode to conv2d_bp

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* 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)

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

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* 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

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* #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

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2019-11-14 19:38:20 +11:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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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

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* 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

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* #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

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* 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

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* Javadoc

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2019-11-02 17:42:01 +11:00
Alex Black d82877b18b
Various SameDiff fixes (#21)
* MKLDNN LSTM forward implementation (disabled pending #8331)

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* #8318 add SameDiff.calculateGradientsAndOutputs

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* 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

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

* Small fixes

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

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

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

* #8252 TanhDerivative javadoc

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

* #8225 Deconvolution2D input validation

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

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

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

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

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

* More cleanup and fixes

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

* Small test fix

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

* Small fix

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

* DL4J SameDiff fixes

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

* 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

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

* All ND4J init logging checks system property

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

* Small tweak

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

* Remove redundant device logging

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

* One more fix

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

* UX improvements

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

* Deconv fix

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

* Add deconv tests

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

* Cleanup

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

* 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

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

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

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

* Next steps

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

* Next step

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* Cleanup

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

* More polish

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* Fix

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

* Add WeakIdentityHashmap

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

* Session fixes for control ops and next steps

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

* More fixes

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

* Fixes

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

* First steps for training session + in-line updating

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

* Next steps

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

* Fix losses and history during training

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

* More fixes

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

* BiasAdd and other fixes

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

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

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

* Small fix

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

* Cleanup

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

* First steps for new dependency tracking approach

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

* Start integrating dependency tracking for memory management

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

* Non-control op dependency tracking works/passes

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

* Switch/merge

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* Next steps

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

* Cleanup and next steps

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

* Small fixes

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

* Fix issue dependency tracking for initial variables/constants

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

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

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

* First pass on new TF graph import class

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

* Import fixes, op fixes

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

* Cleanup and fixes for new TF import mapper

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

* More cleanup

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

* Partial implementation of new dependency tracker

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* Next steps

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

* AbstractDependencyTracker for shared code

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

* Overhaul SameDiff graph execution (dependency tracking)

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

* More fixes, cleanup, next steps

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

* Ad no-op memory manager, cleanup, fixes

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

* Fix switch dependency tracking

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

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

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

* Fix enter and exit dependency tracking

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

* TensorArray memory management fixes

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

* Add unique ID for INDArray instances

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

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

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

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

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

* Cleanup

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

* Handle control dependencies during execution; javadoc for memory managers

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

* Cleanup, polish, code comments, javadoc

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

* Cleanup and more javadoc

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

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

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

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

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

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

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

* Fix order of operation issues for dependency tracker

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

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

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

* Small fixes

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

* Re-implement dtype conversion

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

* Fix for control dependencies execution (dependency tracking)

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

* Fix TF import overrides and filtering

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

* Fix for constant enter array dependency tracking

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

* DL4J Fixes

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

* More DL4J fixes

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

* Cleanup and polish

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

* More polish and javadoc

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

* More logging level tweaks, small DL4J fix

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

* Small fix to DL4J SameDiffLayer

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

* Fix empty array deserialization, add extra deserialization checks

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

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

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

* Variable control dependencies serialization fix

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

* Fix issue with removing inputs for ops

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

* FlatBuffers NDArray deserialization fix

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

* FlatBuffers NDArray deserialization fix

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

* Small fix

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

* Small fix

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

* 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

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

* get rid of safety offset in cpp

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

* bfloat16

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* minor test rearrangement to fastpath launch

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

* - 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

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* Cleanup jackson unused dependencies

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* 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

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* ND4J Shaded guava import fixes

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* DataVec and DL4J guava shading

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* Arbiter, RL4J fixes

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* Build fixed

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* Fix dependency

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* Fix bad merge

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* Jackson shading fixes

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

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* Fix for datavec-spark-inference-server

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* Arbiter fixes

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* Arbiter fixes

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* Small test fix

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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

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* Addede linear test for dynamic_partition op.

* Refactored test with int datatype.

* some logging

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* some logging

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* some logging

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* dynamicPartition fix

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* get rid of some logging

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* one more test for dynamic_stitch

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* one more test for dynamic_stitch

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* empty check for stitch

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* minor print changes

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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

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* delete Linear and Module,

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* update Identity, HashCode, and NoOp

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

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* 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

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* fix EqualTo

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

* fix other cond ops

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* "fake" ops calculateOutputShape() throws exception

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* use c++ shape calc for Linspace

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* fix exception message, move most to BaseCompatOp

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* remove SDVariable.isEmpty

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* 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

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* skip input validation for no-input ops

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

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* typo

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* one more validation fix

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* CUDA empty reductions java side

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* one svd test

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* 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

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* - listdiff synchronization fix for CUDA
- listdiff test

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

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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

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* don't throw exception on invalid pointer

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* data types validation for fastpath exec mode + 2 tests

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* data types validation for fastpath exec mode + 2 tests

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* ismax allowed dtypes tweak

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* lastErrorCode + lastErrorMessage for native exceptions handling

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* exportable ErrorReference

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* check error codes in java

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* - consume lastErrorCode
- fast_in dtype validation fix

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

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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

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* - correct cuda kernel for histogram_fixed_width op

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* - delete comments

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* enabled one ignored test

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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

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

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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

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* 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

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* test updated

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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

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

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2019-08-23 12:31:12 +03:00
raver119 243bf866c4
[WIP] Few fixes (#153)
* throw exception if op execution failed

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* expected for test

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* one more ismax test

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* ismax view fix

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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

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* #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

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* Small fixes

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* Final fixes

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* One more

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2019-08-23 15:09:53 +10:00
raver119 930b49e87f
[WIP] DeviceLocalNDArray updates (#149)
* ContextBuffers are released upon device change

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* DeviceLocalNDArray updates + tests

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* special array for delayed mode

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* additional detach()

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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

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* use new pad

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* conv tests use OpValidation

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* deconv3d overrides

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* test fix for the new pad method

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* more test fixes

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* more test fixes

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

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* more pad overloads, test fix

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* test updates

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* conv1d test

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

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

* remove numThreads from Nd4j

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* 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

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* fix for Reverse and ATan2

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* fix test for wrong equals type

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* well it works now

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

* better javadocs

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

* NonNulls

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* better array literal

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* 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

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* remove Old op classes

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* 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

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* 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

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-20 18:52:41 +03:00
Robert Altena 38310777ee
fix for eclipse#8087 (#129)
*  fix for #8087

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

* remove commented code.

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

* removing trueScalar.

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

* wip

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* wip

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

* wip

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

* remove tueScalar.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-20 15:20:40 +09:00
raver119 b8ab1a00b0 - 2 mod tests
- ModOp mapping added

Signed-off-by: raver119 <raver119@gmail.com>
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
Robert Altena 59cba587f4
Nd4j refactoring (#112)
* refactoring

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

* wip

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

* wip

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

* wip

* fix: make test public.

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

* make test public.

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

* fixes read refactoring.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-15 13:50:52 +09:00
raver119 c7277729e9
few fixes for bfloat16 in java and cpp (#114)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 21:51:42 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

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

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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* Tiny tweak

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

* strided_slice_bp shape fn leak fix

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* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* initial commit

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* initial commit

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* fix javadoc. (#76)

* fix javadoc.

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* replace most @see with @link s.

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* 4 additional tests

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* launch context reorganization

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* LaunchContext reorganization

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* per-device LaunchContext

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* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* ContextBuffers as separate entity

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* ContextBuffers as separate entity

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* remove duplicate code in createBufferDetached. (#83)

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

* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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

* Keras model import - updater lr fix, cleanup

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* ContextBuffers as separate entity

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* ContextBuffers as separate entity

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* Fix functions of OpaqueVariablesSet

* thread-local buffers/affinity

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* thread safety for LaunchContext

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* more of thread safety

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* one more multi threaded test

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* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

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

* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

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* removing more unused code.

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* last removal of unused code.

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* remove createSparse methods. (#92)

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* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

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* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

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* createUninitializedDetached refactored.

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* cuda build fix for issues introduced by recent refactoring

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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* - remove old test for batch_to_space (had wrong format and numbers were not checked)

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* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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* Added test for concat.

* comment unnecessary stuff in s_t_b

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* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* round robin affinity test

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* get rid of legacy CudaContext methods

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* get rid of legacy ContextPool classes/methods

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* one legacy test removed

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* few more fields rearranged

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* OpaqueLaunchContext

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* OpaqueLaunchContext++

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* more of OpaqueLaunchContext methods

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* LaunchContext -> CudaContext

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* AffinityManger changes

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* AffinityManger changes

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* cusolver handles

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* typo

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* cusolver method

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* cusolver handle propagated

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* blas/solver handles

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* one more test

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* legacy concat implementations replaced with new CustomOp

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* one more test

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* concat now uses way more blocks

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* print

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* no more triple template mmul

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* bunch of kernels have dtypes reconsidered

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* bunch of kernels have dtypes reconsidered

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* bitonic sort reorganized

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* bunch of cpu stuff removed from cuda scope

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* bunch of cpu stuff removed from cuda scope

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* type conversions moved to generic impl

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* cpu data types pass

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* non_max_suppression

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* sortByValue fix

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* ignore all mixed datatype tests for mmul

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* special handling of OpProfiler exceptions

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* - one failing concat test in cpp
- Nd4j.tile now uses op internally

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* get back dtype exception for legacy arrays deserialization

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2019-08-14 16:52:34 +03:00