Commit Graph

51 Commits (d9058b469ab73f29d3ef8e8d5de96f040774e0c2)

Author SHA1 Message Date
raver119 2698fbf541
Broadcast perf improvements (#248)
* broadcast as scalar edge case

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* missing return

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* few fixes

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* one more fix

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* no need for lambdas

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2020-02-17 16:25:09 +03:00
raver119 3de3cd8277
R119 tests (#238)
* one small test

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* one small test

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* bert test

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* Graph FlowPath fix

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* - GraphProfiler tweaks
- NodeProfile now includes shapes

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* RELU_layer inplace tweak

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* meh

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* identity tweaks

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* bert result validation

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* - bunch of Shape ops have inplace exec forbidden now
- Legacy ops have inplace exec disabled by default now

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* ffast-math enabled

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* ffast-math enabled

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* allow some legacy ops to be inplace

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* disable -fast_math

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* disable expensive test for cuda

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2020-02-13 20:59:35 +03:00
raver119 f3fa4fd632
C++ NPY (#233)
* import .npy files in C++

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* reuse existing method

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* add CPU_FEATURES to static lib

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2020-02-12 12:38:10 +03:00
raver119 5d28e6143d
OpContext handling (#214)
* nano tweaks

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* OpContext tweaks

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* OpContext deallocators

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* get rid of few mkldnn safety checks

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* databuffer setSpecial fix

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2020-02-05 07:27:24 +03:00
Oleh d52e67209e
Oleh convert (#200)
* StringUtils for utf convertor raw implementation of all possible combinations, need to be add counter of bytes per symbol for any type and add api to call convertors and store data

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* StringUtils for utf convertor more corrections to support convertors

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* StringUtils for utf convertor some corrections and bug fixes, need review to discuss how to add multi-threading

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* StringUtils for utf convertor #8613 some corrections to move to multi-threading, add one test need discussion data inputs/outputs array presentation, need discussion the way of multi-threading

* StringUtils for utf convertor #8613 tests added some corrections to optimize build

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* StringUtils for utf convertor #8613 some corrections and code clean up

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* StringUtils for utf convertor #8613 code clean up and optimize usage, need update ndarray factory before replace std usage

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* StringUtils for utf convertor #8613 some staff to integrate converters into NDArrayFactory, update tests and add some functionality

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* StringUtils for utf convertor #8613 minor corrections and bug fix before discussion

* StringUtils for utf convertor #8613 some fixes and tets

* StringUtils for utf convertor #8613 some more staff to support different unicode

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* StringUtils for utf convertor #8613 fix linking bug

* StringUtils for utf convertor #8613 corrected several tests as defaults for string ndarray changed

* StringUtils for utf convertor #8613 replace some incorrect implementation, revert some test changes, need sync before testing

* StringUtils for utf convertor #8613 fixed several thing that were badly implemented yesterday, need optimization, testing (before testing have to be add support of u32 and u16 buffer visualization)

* StringUtils for utf convertor #8613 fixed to support u16 and u32, and convertor in ndarray, fix buffer print, etc

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* StringUtils for utf convertor #8613 merge master and sync with server

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* StringUtils for utf convertor #8613 some correction for string cast, need print check only asci support

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* StringUtils for utf convertor #8613 merge master, remove copies and add cast, need test, refactoring according review and clean up

* StringUtils for utf convertor #8613 fixed cast and copy issues

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* StringUtils for utf convertor #8613 fixed cuda and update tests

* StringUtils for utf convertor #8613 integration into NdArray, fix several tests for build pass, refactoring, etc

* - avoid ambiguity of NDArray ctrs overloading in some tests

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* StringUtils for utf convertor #8613 NDArray string constructors added, updated NDArrayFactory, refactoring unicode and tests, etc

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* StringUtils for utf convertor #8613 fixed cuda build and test, refactoring and void* added to some functions

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* StringUtils for utf convertor #8613  void* integration, removed copy operation, refactoring, added tests for NDArray string constructors, etc

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* StringUtils for utf convertor #8613 several more fixes, improvements and updates

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* StringUtils for utf convertor #8613 master merge, code clean up and optimization before review

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* StringUtils for utf convertor #8613 minor fixes string element size define

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* StringUtils for utf convertor #8613 revert last changes as mistake

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* StringUtils for utf convertor #8613 fixed NDArray constructor build problem, remove order from string factory, fixed order use for factory via project, added catch of incorrect sync in cast of arrays to data types, fixed e method for strings, etc

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* StringUtils for utf convertor #8613 added javacpp hack, added multi-threading, minor corrections in license agreement

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* StringUtils for utf convertor #8613 windows builds fix, as "sting" is not treated as utf8

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-31 16:30:49 +03:00
raver119 5d98cfcf47
Configurable DataType for ops (#201)
* initial commit

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* - one more test for OneHot with dtype
- one more signature in Nd4j

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* ones_as/zeros_as now accept dtype

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* one more test

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* - more updates for configurable data types
- ones_as/zeros_as java side + tests

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* few c++ tests fixed

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* few more changes around DArgs

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2020-01-30 18:46:12 +03:00
raver119 ba961c7601
DataTypes & FlatBuffers (#197)
* flatbuffers version upgrade

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* flatbuffers version upgrade java side

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* flatbuffers dependency version upgrade java side

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* MKLDNN version upgrade

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* DArgs first pass

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* signatures first pass

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* signatures second pass

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* signatures third pass

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* signatures third pass

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* signatures fourth pass

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* signatures fifth pass

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* flatbuffers UI version upgrade java side

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* flatbuffers ui update

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* flatbuffers downgrade

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* flatbuffers downgrade java side

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2020-01-30 10:07:24 +03:00
raver119 531a72fabd
execution mode (#183)
* initial commit

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* execution mode java side

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* meh

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* move exec mode to ContextPrototype

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* copyrights

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2020-01-27 10:00:07 +03:00
raver119 5d69069177
[WIP] Memory limits (#167)
* initial commit

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* one more initial commit

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* additional initial commit

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* subsequent initial commit

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* initial commit testing

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* initial commit per device

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* initial commit per group

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* initial commit for cuda

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* initial commit for cuda + few missed lines

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* initial commit for cuda + missed includes

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* initial commit for cuda + one more missed include

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

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* initial commit that tracks HOST group limits for CUDA

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* initial commit with some Environment changes

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* initial commit with more Environment changes

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* initial commit with maxMasterThreads fix

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* initial commit with maxMasterThreads fix

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* initial commit without maxMasterThreads exception

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* initial commit without Nd4jULong in Environment

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* add sleep and more iterations for OOM cases

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* limits propagation from java side

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

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* unordered_map

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* unordered_map

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* unordered_map

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* RSub op mapping fixed

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* typo fixed

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* one bad test fixed

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2020-01-24 10:11:09 +03:00
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
raver119 451d9d57fd
shape function override (#161)
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2020-01-04 09:06:44 +03:00
raver119 ac0d249f07
build fix for clang (#159)
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2020-01-03 15:17:06 +03:00
Yurii Shyrma 5d9b2a16e5 Shyrma temp (#131)
* - specifying template instantiation for certain types in float16 and bloat16

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* - polishing bfloat16 and float16 member functions template specialization

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

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

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

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* float16/bfloat16 tweaks

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* one more tweak

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* - make float16 and bfloat16 to compile successfully on cuda

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

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* - get rid of pointers in signatures NDArray methods 1

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* - correction of signature of NDArray::dup method

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* - correction of signature of NDArray::reduceAlongDimension method

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

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

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

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* - signature correction of NDArray::allTensorsAlongDimension

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* - signature correction of NDArray::reduceAlongDimension 2

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* - signature correction of NDArray::applyTransform 2

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* - signature correction of NDArray::applyPairwiseTransform 2

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* - signature correction of NDArray::applyBroadcast 2

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* - signature correction of NDArray::applyTrueBroadcast 2

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* - signature correction of NDArray::applyScalar and applyScalarArr

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* - signature correction of NDArray::lambda methods

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* - signature correction of NDArray::reduce3 methods 2

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

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* - signature correction of NDArray::tileToShape methods

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* - signature correction of NDArray::isShapeSameStrict method

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* minor corrections in tests

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* - replace reduce op in batchnorm mkldnn

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

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* - corrections of casts in float16/bfloat16

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

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

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* - avoid available bug in svd cuda API

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

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* - remove test with blfoat16 type for betainC

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* - resolve conflicts after master has been merged in

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* - changed type of affected input array in fused_batch_norm

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* - add several explicit type castings

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* - add ND4J_EXPORT to operators

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

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* - one more test fix

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2019-12-20 22:35:39 +03:00
raver119 43e118de1e maxThreads -> maxMasterThreads
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2019-12-19 18:41:27 +03:00
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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* export additional symbols

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* few more tweaks

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* one more tweak for linux

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* fix dtype in few tests

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* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

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2019-12-02 21:37:21 +03:00
raver119 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 1eb3de90d7
[WIP] Platform helpers switches (#44)
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well

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* global platform-helpers trigger

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* few signatures renamed

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

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* Javadoc update

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2019-11-14 14:35:02 +03:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
raver119 929c1dc5c7 - new NDArrayFactory scalar constructor
- minor tweak in randomuniform
- one more test

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2019-11-08 08:49:41 +03:00
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
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00
raver119 589401477d
[WIP] bunch of improvements (#257)
* - profiling bias_add op
- add some docementation

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* - minor change

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* - provide addBias cuda kernel

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* - improve shape::getIndexOfffset and change its signature

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* - same as previous

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

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* - minor changes in flatten

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* - add function shape::getIndexOffsetOrdered

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* - correct shape::getIndexOffsetOrdered()

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

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2019-09-11 20:12:09 +03:00
raver119 a90c7dd995
[WIP] Last set of changes (#234)
* mmul op instead of cublasSgemm

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* transB

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* jcpp handles

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* bitwise and/or/xor

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* bitwise and/or/xor mapping

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* cuda/cublas version check

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* add expected version

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* cuda/cublas version check in java

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* one more error check

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* build fix

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* build fix

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* build fix

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* one more fix

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* skip CUDA version check for now

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* better wording

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* few more tweaks

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* few more tweaks

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2019-09-04 14:41:08 +03:00
Alex Black 6cc887bee9
Rename flatbuffers DataType to DType (#228)
* Rename flatbuffers DataType enum to DType

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* Rename flatbuffers DataType enum to DType

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* Updates for flatbuffers datatype enum renaming

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2019-09-04 16:36:11 +10:00
raver119 1003428a18
[WIP] Int broadcastables (#195)
* Removed invalid resource and fixed tests

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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2019-08-30 10:12:40 +03:00
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
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 b091e972ef
- string NDArray flat serde impl + tests (#163)
- string NDArray equalsTo impl

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2019-08-24 14:16:34 +03:00
raver119 e604ffe0d2
[WIP] repeat op (#143)
* - write new repeat helper (cpu)

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* - update NDArray::cpu

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* - update NDArray::repeat cuda

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2019-08-21 21:10:29 +03:00
raver119 d9ab299759
[WIP] Minor fixes (#140)
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test

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* additional tile validation

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* - provide vector case in cuda scatter op

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* cpu ismax view fix

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* exp

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* cuda ismax fix

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2019-08-21 15:05:47 +03:00
shugeo f083b96c74
Shugeo cuda tests (#116)
* Added tests for get_seed/set_seed ops.

* Added missed tests for scatter_sub/mul/div ops.

* Added tests for hardsigmoid and hardsigmoid_bp.

* Added tests for hardtanh and hardtanh_bp ops.

* Added test for histogram op.

* Added tests for identity op.

* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.

* Fixed tests for FloorDiv.

* Added test for rank op.

* Added tests for rationaltanh/rationaltanh_bp ops.

* Added tests for realdiv/realdiv_bp.

* Added tests for rectifiedtanh/_bp ops.

* Added tests for shapes_of op.

* Added tests for shapes_of op.

* Added tests for size op.

* Added tests for softplus/_bp ops.

* Added tests for softsign/_bp ops.

* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.

* Added test for truncatediv op.

* Added another test for truncatediv op.

* Added another test for histogram.

* Added tests for unstack_list op.

* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.

* Refactored mergemaxindex op helper for cuda platform and tests.

* Fixed cuda kernel for histogram op helper.

* Refactor skipgram to avoid early buffers shift.

* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.

* Added implementation of skipgram op helper for cuda platform. Working revision

* Fixed mergeMaxIndex kernel and move it to separate source file.
2019-08-15 13:54:47 +03:00
raver119 6264530dd8
[WIP] bitwise ops (#115)
* - cyclic_shift_bits + test
- shift_bits + test

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* OMP_IF replacement

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2019-08-15 11:49:50 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

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* [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

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* 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)

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

* Keras model import - updater lr fix

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* 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.

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* 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)

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

* 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
raver119 f49c4ea9d0
int -> long (#108)
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2019-08-10 09:14:18 +03:00
raver119 b75bac750d exclude two methods for JNI (#97)
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2019-08-05 11:28:07 +10:00
raver119 2447af0953 exclude two methods for JNI
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2019-08-05 11:28:07 +10:00
raver119 aefdbc17d6 exclude two methods for JNI
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2019-08-05 11:27:05 +10:00
raver119 3c4e959e21 [WIP] More of CUDA (#95)
* initial commit

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

* 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

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

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

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

* 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

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

* Added test for concat.

* comment unnecessary stuff in s_t_b

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

* 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...)

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

* - 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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2019-08-05 11:27:05 +10:00
Samuel Audet 8d1fe8b1b3 Fix functions of OpaqueVariablesSet 2019-08-05 11:24:20 +10:00
Samuel Audet 526b782e51 Create C wrappers for some of the C++ classes currently used by ND4J 2019-08-05 11:22:59 +10:00
Samuel Audet dcc72e23b2 Refactor NativeOps.h to export C functions 2019-08-05 11:22:59 +10:00
raver119 b9708be5db delete temporary TadPack C++/Java side (#74)
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2019-08-05 11:11:22 +10:00
raver119 59a006ce29 [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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2019-08-05 11:11:22 +10:00
raver119 fd6c0df024 [WIP] More CUDA fixes/updates (#62)
* CUDA reallocation update

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* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp

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* SoftMaxDerivative op removed

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* few tests updates

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* RNG fixes

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* few more tests updates

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* legacy Histogram/Pooling2D removed

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* legacy Histogram removed

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* histogram moved

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* histogram moved cuda

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* Histogram custom op

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2019-07-20 23:07:42 +10:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

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* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

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

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* provide prelu_bp

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* - provide gruCell_bp (old version ??)

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* - polishing cumsum_bp and cumprod_bp tests

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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

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* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

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* Refactored lup helper to add parrallel computing.

* cusolver libraries

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* uncomment cuSolver APIs in svd.cu

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* cusolver var

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* - further work on cuSolver svd

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* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

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* correct svdQR cuda

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

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* Fixed implementation issues with LUP usign cuda solver.

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

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

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

* - implementation of cuda kernel for tile bp

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* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

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* Fixed cholesky helper.

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

* bad import excluded

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* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

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

* - start working on gruCell_bp

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* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

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* cuBLAS related fixes

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* calculateOutputShapes() now passes device buffers as well

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* special concat/average/accumulate init host pointers now

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* few more tweaks

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* additional CudaDataBufferFactory signatures certain for data types

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* cuSolver host buffer

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* buffer to buffer memcpy host ptr allocation

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2019-07-20 23:05:21 +10:00
Alex Black cb6654bebb Add libnd4j benchmarks (#3)
This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
raver119 15e7984392 Small fixes (#46)
* - fix for eclipse/#7959

* createFromNpy scalar fix

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* remove spam

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* rng custom ops tests

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* Numpy headers validation + tests

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* fix for scalar string flat serde

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* Where empty shape test

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2019-07-20 22:20:14 +10:00
Alex Black 1170827c18 Merge master to upstream (#7945)
* Shugeo strided slice zeros (#14)

* Modified strided_slice op to properly work with empty-like shapes.

* Fixed test for reduce_mean with empty-like input.

* [WIP] Last merge (#15)

* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

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

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

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

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

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

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

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

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

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

* strided slice fix

* one transform test

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

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

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

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

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

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

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

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

* Range fix

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

* More fixes

* Empty creator fixes

* concat fix

* concat fix

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

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

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

* few tests fixed

* matmul scalar shape fix

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

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

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

* broadcast tweaks

* [WIP] Fixing outstanding issues for NLP (#9)

* Avoid using not-inited objects

* Test fixed.

* Redundant method avoided for models like FastText

* KMeans++ implementation

* KMeans++ implementation

* Disable parallel execution

* KMeans++

* Tests

* Dev branch merge (#16)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Fix some issues on master (#17)

* Fix DataVec test issue

* Fix issue with dl4j SameDiff output layer

* Dtype fix for lambda layers

* #7912 BertIterator dtype fix (use float32 not global default)

* [WIP] Next set of CUDA stuff (#7)

New CUDA implementations and improvements

* bad file

* Dev branch master merge (#23)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

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

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* SameDiff ops, TF import and fixes (#24)

* CheckNumerics tests + fixes + misc fixes

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* Fake quant

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* Fixes

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* FakeQuantWithMinMaxArgs

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* CheckNumerics fix

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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)

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* Small fix

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* Javadoc

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* Exception tweak

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* fix

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* Fix for out of scope stack allocated var use

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* Ignores

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* Ignore for known failing test (already logged issue)

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* Merge upstream to fork (#25)

* Add thousand-separator commas to TotalParams (#7915)

* Add thousand-separator commas to TotalParams

The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.

* Add thousand-separator commas to MultiLayerNetwork

Corresponding change to MultiLayerNetwork

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* Update contributing and issue/PR templates (#7934)

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* Fix link to AdaDelta paper (#7942)

Fix link to AdaDelta paper hosted on matthewzeiler.com

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* Fixes, and ignores for known/logged failing issues (#7943)

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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)

* #7919 HDF5 attribute buffer length fix

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* #7909 Arbiter constructor exception ux improvements

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* #7925 RNN output layer length checks

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* #7939 Add listener for validating inputs are not incorrectly modified

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* #7939 Integrate NonInplaceValidationListener into tests

* #7844 DL4J SameDiff fixes for variable minibatch size

* DL4J SameDiff fixes - ensure gradient for input placeholder is available

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* Tweaks to ExternalErrorsFunction - use placeholders, make more robust

* Another fix

* More fixes

* More SameDiff/DL4J fixes

* Scope out scalar array creation in BaseScalarOp

* Remove debug code

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* [WIP] Final dev branch merge (#29)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

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

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* [WIP] Multiple dataset iterators (#27)

* Splitting dataset into arbitrary number

* Fixes

* Multiple split of iterator

* Test

* Test

* Some fixes

* signature change

* one more tweak

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* one more test for sequential use of DataSetIteratorSplitter

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* Fixes

* Fixes

* one more test for Alexander

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* Some fixes

* Some fixes

* one more test for Alexander

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* minor test fix

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* Some fixes

* Some fixes

* couple of assertions tweaked

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* MDS splitter test :/

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* Minor refactoring

* Multi dataset

* Some fixes

* More tests

* Small number of test fixes/improvements (failures on CI) (#31)

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* [WIP] More CUDA stuff (#26)

* initial commit

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* LRN BP CUDA

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* less memory

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* Fixed bug with crop_and_resize op helper.

* get rid of unnecessary index-calculation dunction

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

* Fixed sort with nth_element cuda-based helper.

* Refactored nth_element.

* Refactored nth_element op and tests.

* Modified usage of dim array with sortTad routine.

* Refactored main routine of helper for non_max_image_suppression op.

* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.

* fix vol2col cuda kernel

* meh

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* topK concept

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* unsorted topK with scanWitdh of 1

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* correct vol2col tests

* sorted/unsorted topK

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* implementation and fixing col2im/col2vol

* Corrected usage flags with input/output with reverse op.

* dup is const now

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* percentile op

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* group tests for mapool2d

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* special test for george

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* less threads for sortTad

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* provide conv2d for cuda

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

* remove auther in sort tad kernel code

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

* provide depthwise_conv2d for cuda

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* - max_pooling_with_argmax
- null check for special use

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* dts cuda

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* provide sconv2d for cuda

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* std cuda

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* Refactored non_max_suppression op to conform TF implementation.

* Improved suppression helper.

* provide pooling3d for cuda

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* minor lstm rearrangements

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* more of minor lstm rearrangements

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* (bi)dynamic_rnn

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* templates init order

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* Refactored non_max_suppression op.

* Added cuda kernel for non_max_suppression.

* CPU sort by key/value

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* CPU sort TAD by key/value

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* CPU sort TAD by key/value tests

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* Eliminate compiler error with cuda implementation.

* - repaired gradCheck in cuda
- provide conv2d_bp for cuda

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

* missed signature

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* provide depthwise_conv2d_bp for cuda

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* Implementation of lup helper with cuda kernel. Initial commit.

* further work on backprops for convolutions

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* CUDA linear sort by key/val

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* CUDA tad sort by key/val

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* start providing of backprop for pooling2d/3d

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* Added atomicAdd for bool datatype.

* dynamic partition concept

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* dynamic partition concept

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* dynamic partition scalar CUDA

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* important comment

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* fix pooling2d/3d backprop helpers

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* Added non-linear test with dynamic_partition.

* Improved test for dynamic_partition.

* dynamic_partition TAD concept

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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix

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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d

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* dynamic_stitch CUDA vector case

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* dynamic_stitch CUDA TAD case concept

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* dynamic_stitch CUDA TAD case impl

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* Added tests for dynamic_stitch 3D-4D cases.

* minor tests tweaks

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* Fixed type check for dynamic stitch.

* min/max bp

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* rewrite code for upsampling2d/3d cpu

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* reduce min/max/norm_max bp

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* lup implementation. Additional enhancements.

* provide code for upsamling2d/3d backprop

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* weightedCrossEntropyWithLogits

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* Fixed template math atomicMul for 64bit ints.

* Refactored dynamic_partition_bp op.

* inverseBroadcast fix

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* DynamicPartitionBP test datatype fixed.

* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA

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2019-06-27 18:37:04 +03:00
Alex Black 68ea5f3688
Dev branch merge: dev_20190606 (#7904)
* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

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

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

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

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

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

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

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

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

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

* strided slice fix

* one transform test

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

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

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

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

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

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

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

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

* Range fix

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

* More fixes

* Empty creator fixes

* concat fix

* concat fix

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

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

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

* few tests fixed

* matmul scalar shape fix

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

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

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

* broadcast tweaks
2019-06-15 21:34:34 +10:00