04b2b4f9b6
Few fixes ( #361 )
...
* INDArray.close() fix for CPU
Signed-off-by: raver119 <raver119@gmail.com>
* - BroadcastableBoolOp introduced
- ConfusionMatrix now supports explicit DataType argument
Signed-off-by: raver119 <raver119@gmail.com>
* confusion_matrix: dtype is still optional
Signed-off-by: raver119 <raver119@gmail.com>
* disable bert tests in debug builds
Signed-off-by: raver119 <raver119@gmail.com>
* Affinity fix
Signed-off-by: raver119 <raver119@gmail.com>
* minor workspace tweak to allow close() on scoped out borrowed workspace
Signed-off-by: raver119 <raver119@gmail.com>
2020-04-06 21:01:59 +03:00
f79207033b
SameDiff multi-threaded inference ( #263 )
...
* #8682 Don't log openmp BLAS threads for CUDA
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8654 Add SameDiff multi-threaded tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Switching to op context for SameDiff exec
Signed-off-by: Alex Black <blacka101@gmail.com>
* Next steps
Signed-off-by: Alex Black <blacka101@gmail.com>
* Most back to passing
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Better tests, test refactoring
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* Code duplication reduction
Signed-off-by: Alex Black <blacka101@gmail.com>
* More code deduplication
Signed-off-by: Alex Black <blacka101@gmail.com>
* CUDA fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More CUDA fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* ND4S small fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-20 21:24:39 +11:00
0cf4a45573
Fixes #8763 ( #310 )
...
* Fix cmake detection in msys
* Fix toolchain file on windows
* Make android 64 bit work
* Fix libnd4j build script on msys
* Update build script for windows/linux
* Encoding issue for ci
* Update pom.xml
* Update pom.xml
* Update pom.xml
* Remove mingw
* Ensure android x86 builds are inline with arm builds
* Update toolchains and env variables for x86
* Move profile for build program up to parent
* Fix blas vendor and add comment
* Update cuda presets version
* Set default value and move properties back to child pom
* Change program from hard coded to use the script as the program
* Update pom.xml
* Update pom.xml
* Static lib fix
* Update static lib output
* Get rid of old comments
* Update static for buiding
2020-03-19 14:53:21 +09:00
9c77bfa85f
Support for more numpy datatypes ( #241 )
...
* Adding more datatypes support in datavec-python
* Using numpy C API for creating numpy arrays
* Adding parameterized tests
* Adding support for BFLOAT16 (by converting it to FLOAT)
* Cleanup
* Using casting instead of creating an array
* Giving out a warning while casting array from BFLOAT16 to FLOAT
* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Python exec: sync to host before passing pointers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Added copyright header
* use np api (#267 )
* python exec / numpy - check object type before cast (#268 )
* use np api
* verify object before cast
* fix cong
* cuda fix
* inplace test + tiny fix
* more test
* fix double alloc
* rem tags
* fix cuda check
* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
2020-03-19 00:48:37 +11:00
5d28e6143d
OpContext handling ( #214 )
...
* nano tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* OpContext tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* OpContext deallocators
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of few mkldnn safety checks
Signed-off-by: raver119 <raver119@gmail.com>
* databuffer setSpecial fix
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-05 07:27:24 +03:00
5d98cfcf47
Configurable DataType for ops ( #201 )
...
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* - one more test for OneHot with dtype
- one more signature in Nd4j
Signed-off-by: raver119 <raver119@gmail.com>
* ones_as/zeros_as now accept dtype
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* - more updates for configurable data types
- ones_as/zeros_as java side + tests
Signed-off-by: raver119 <raver119@gmail.com>
* few c++ tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* few more changes around DArgs
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-30 18:46:12 +03:00
7ef0ef907e
Packages fix ( #193 )
...
* packages fix
Signed-off-by: raver119 <raver119@gmail.com>
* few imports fixed
Signed-off-by: raver119 <raver119@gmail.com>
* few imports fixed
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-27 23:04:21 +03:00
531a72fabd
execution mode ( #183 )
...
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* execution mode java side
Signed-off-by: raver119 <raver119@gmail.com>
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* move exec mode to ContextPrototype
Signed-off-by: raver119 <raver119@gmail.com>
* copyrights
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-27 10:00:07 +03:00
4db28a9300
Cleanup of multiple projects ( #175 )
...
* Cleanup modules
* Moving subprojects to nd4j-api
* Project cleanup
* Dropped AWS sub-project
* dl4j-util moved to core
* dl4j-perf moved to core
* Tests coverage
* Revert "Moving subprojects to nd4j-api"
This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.
* Moved nd4j-buffer and nd4j-context to nd4j-api
* Rolled back change
* Revert "Project cleanup"
This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.
* Datavec cleaned up
* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"
This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.
# Conflicts:
# nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java
* Resolve conflict
* Compilation fixed.
* nd4j-context and nd4j-buffer moved to nd4j-api
* Fixed TF mapping for mmul
* Fix for dl4j-cuda tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Move last few tests from deeplearning4j-nn to -core
Signed-off-by: Alex Black <blacka101@gmail.com>
* Remove incorrect TF import mapping for TensorMmul op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
* One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 22:35:00 +03:00
5d69069177
[WIP] Memory limits ( #167 )
...
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* one more initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* additional initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* subsequent initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit testing
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit per device
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit per group
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit for cuda
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit for cuda + few missed lines
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit for cuda + missed includes
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit for cuda + one more missed include
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit shouldn't count host mem as dev0 in cuda
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit that tracks HOST group limits for CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit with some Environment changes
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit with more Environment changes
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit with maxMasterThreads fix
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit with maxMasterThreads fix
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit without maxMasterThreads exception
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit without Nd4jULong in Environment
Signed-off-by: raver119 <raver119@gmail.com>
* add sleep and more iterations for OOM cases
Signed-off-by: raver119 <raver119@gmail.com>
* limits propagation from java side
Signed-off-by: raver119 <raver119@gmail.com>
* - consume ErrorCode every time
- one test for memory limits
Signed-off-by: raver119 <raver119@gmail.com>
* unordered_map
Signed-off-by: raver119 <raver119@gmail.com>
* unordered_map
Signed-off-by: raver119 <raver119@gmail.com>
* unordered_map
Signed-off-by: raver119 <raver119@gmail.com>
* RSub op mapping fixed
Signed-off-by: raver119 <raver119@gmail.com>
* typo fixed
Signed-off-by: raver119 <raver119@gmail.com>
* one bad test fixed
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-24 10:11:09 +03:00
29e8e09db6
String changes ( #3 )
...
* initial commit
* additional data types & tensor type
Signed-off-by: raver119 <raver119@gmail.com>
* next step
Signed-off-by: raver119 <raver119@gmail.com>
* missing include
* sparse_to_dense
Signed-off-by: raver119 <raver119@gmail.com>
* few more tests files
Signed-off-by: raver119 <raver119@gmail.com>
* draft
Signed-off-by: raver119 <raver119@gmail.com>
* numeric sparse_to_dense
Signed-off-by: raver119 <raver119@gmail.com>
* comment
Signed-off-by: raver119 <raver119@gmail.com>
* string sparse_to_dense version
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA DataBuffer expand
Signed-off-by: raver119 <raver119@gmail.com>
* few tweaks for CUDA build
Signed-off-by: raver119 <raver119@gmail.com>
* shape fn for string_split
Signed-off-by: raver119 <raver119@gmail.com>
* one more comment
Signed-off-by: raver119 <raver119@gmail.com>
* string_split indices
Signed-off-by: raver119 <raver119@gmail.com>
* next step
Signed-off-by: raver119 <raver119@gmail.com>
* test passes
Signed-off-by: raver119 <raver119@gmail.com>
* few rearrangements for databuffer implementations
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer: move inline methods to common implementations
Signed-off-by: raver119 <raver119@gmail.com>
* add native DataBuffer to Nd4j presets
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer creation
Signed-off-by: raver119 <raver119@gmail.com>
* use DataBuffer for allocation
Signed-off-by: raver119 <raver119@gmail.com>
* cpu databuffer as deallocatable
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer setters for bufers
Signed-off-by: raver119 <raver119@gmail.com>
* couple of wrappers
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffers being passed around
Signed-off-by: raver119 <raver119@gmail.com>
* Bunch of ByteBuffer-related signatures gone
Signed-off-by: raver119 <raver119@gmail.com>
* - few more Nd4j signatures removed
- minor fix for bfloat16
Signed-off-by: raver119 <raver119@gmail.com>
* nullptr pointer is still a pointer, but 0 as address :)
Signed-off-by: raver119 <raver119@gmail.com>
* one special test
Signed-off-by: raver119 <raver119@gmail.com>
* empty string array init
Signed-off-by: raver119 <raver119@gmail.com>
* one more test in cpp
Signed-off-by: raver119 <raver119@gmail.com>
* memcpy instead of databuffer swap
Signed-off-by: raver119 <raver119@gmail.com>
* special InteropDataBuffer for front-end languages
Signed-off-by: raver119 <raver119@gmail.com>
* few tweaks for java
Signed-off-by: raver119 <raver119@gmail.com>
* pointer/indexer actualization
Signed-off-by: raver119 <raver119@gmail.com>
* CustomOp returns list for inputArumgents and outputArguments instead of array
Signed-off-by: raver119 <raver119@gmail.com>
* redundant call
Signed-off-by: raver119 <raver119@gmail.com>
* print_variable op
Signed-off-by: raver119 <raver119@gmail.com>
* - view handling (but wrong one)
- print_variable java wrapper
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* - empty arrays handling
Signed-off-by: raver119 <raver119@gmail.com>
* - deserialization works now
Signed-off-by: raver119 <raver119@gmail.com>
* minor fix
Signed-off-by: raver119 <raver119@gmail.com>
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* one more fix
Signed-off-by: raver119 <raver119@gmail.com>
* initial cuda commit
Signed-off-by: raver119 <raver119@gmail.com>
* print_variable message validation
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA views
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA special buffer size
Signed-off-by: raver119 <raver119@gmail.com>
* minor update to match master changes
Signed-off-by: raver119 <raver119@gmail.com>
* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default
Signed-off-by: raver119 <raver119@gmail.com>
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* - print_variable now allows print from device
Signed-off-by: raver119 <raver119@gmail.com>
* InteropDataBuffer data type fix
Signed-off-by: raver119 <raver119@gmail.com>
* ...
Signed-off-by: raver119 <raver119@gmail.com>
* disable some debug messages
Signed-off-by: raver119 <raver119@gmail.com>
* master pulled in
Signed-off-by: raver119 <raver119@gmail.com>
* couple of new methods for DataBuffer interop
Signed-off-by: raver119 <raver119@gmail.com>
* java side
Signed-off-by: raver119 <raver119@gmail.com>
* offsetted constructor
Signed-off-by: raver119 <raver119@gmail.com>
* new CUDA deallocator
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA backend torn apart
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA backend torn apart 2
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA backend torn apart 3
Signed-off-by: raver119 <raver119@gmail.com>
* - few new tests
- few new methods for DataBuffer management
Signed-off-by: raver119 <raver119@gmail.com>
* few more tests + few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* two failing tests
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* two failing tests pass
Signed-off-by: raver119 <raver119@gmail.com>
* now we pass DataBuffer to legacy ops too
Signed-off-by: raver119 <raver119@gmail.com>
* Native DataBuffer for legacy ops, Java side
Signed-off-by: raver119 <raver119@gmail.com>
* CPU java side update
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA java side update
Signed-off-by: raver119 <raver119@gmail.com>
* no more prepare/register action on java side
Signed-off-by: raver119 <raver119@gmail.com>
* NDArray::prepare/register use now accepts vectors
Signed-off-by: raver119 <raver119@gmail.com>
* InteropDataBuffer now has few more convenience methods
Signed-off-by: raver119 <raver119@gmail.com>
* java bindings update
Signed-off-by: raver119 <raver119@gmail.com>
* tick device in NativeOps
Signed-off-by: raver119 <raver119@gmail.com>
* Corrected usage of OpaqueBuffer for tests.
* Corrected usage of OpaqueBuffer for java tests.
* NativeOpsTests fixes.
* print_variable now returns scalar
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* compat_string_split fix for CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer
Signed-off-by: raver119 <raver119@gmail.com>
* legacy ops DataBuffer migration prototype
Signed-off-by: raver119 <raver119@gmail.com>
* ignore device shapeinfo coming from java
Signed-off-by: raver119 <raver119@gmail.com>
* minor fix
Signed-off-by: raver119 <raver119@gmail.com>
* minor transformAny fix
Signed-off-by: raver119 <raver119@gmail.com>
* minor tweak for lazy host allocation
Signed-off-by: raver119 <raver119@gmail.com>
* - DataBuffer::memcpy method
- bitcast now uses memcpy
Signed-off-by: raver119 <raver119@gmail.com>
* - IndexReduce CUDA dimension buffer fix
Signed-off-by: raver119 <raver119@gmail.com>
* views for CPU and CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* less spam
Signed-off-by: raver119 <raver119@gmail.com>
* optional memory init
Signed-off-by: raver119 <raver119@gmail.com>
* async memset
Signed-off-by: raver119 <raver119@gmail.com>
* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix
Signed-off-by: raver119 <raver119@gmail.com>
* - reduce3All fix
switch to CUDA 10 temporarily
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA version
Signed-off-by: raver119 <raver119@gmail.com>
* proper memory deallocator registration
Signed-off-by: raver119 <raver119@gmail.com>
* HOST_ONLY workspace allocation
Signed-off-by: raver119 <raver119@gmail.com>
* temp commit
Signed-off-by: raver119 <raver119@gmail.com>
* few conflicts resolved
Signed-off-by: raver119 <raver119@gmail.com>
* few minor fixes
Signed-off-by: raver119 <raver119@gmail.com>
* one more minor fix
Signed-off-by: raver119 <raver119@gmail.com>
* NDArray permute should operate on JVM primitives
Signed-off-by: raver119 <raver119@gmail.com>
* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java
Signed-off-by: raver119 <raver119@gmail.com>
* - addressPointer temporary moved to C++
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA: don't account offset twice
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA: DataBuffer pointer constructor updated
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA NDArray.unsafeDuplication() simplified
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA minor workspace-related fixes
Signed-off-by: raver119 <raver119@gmail.com>
* CPU DataBuffer.reallocate()
Signed-off-by: raver119 <raver119@gmail.com>
* print_affinity op
Signed-off-by: raver119 <raver119@gmail.com>
* print_affinity java side
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA more tweaks for data locality
Signed-off-by: raver119 <raver119@gmail.com>
* - compat_string_split tweak
- CudaUtf8Buffer update
Signed-off-by: raver119 <raver119@gmail.com>
* INDArray.close() mechanic restored
Signed-off-by: raver119 <raver119@gmail.com>
* one more test fixed
Signed-off-by: raver119 <raver119@gmail.com>
* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored
Signed-off-by: raver119 <raver119@gmail.com>
* one last fix
Signed-off-by: raver119 <raver119@gmail.com>
* bad import removed
Signed-off-by: raver119 <raver119@gmail.com>
* another small fix
Signed-off-by: raver119 <raver119@gmail.com>
* one special test
Signed-off-by: raver119 <raver119@gmail.com>
* fix bad databuffer size
Signed-off-by: raver119 <raver119@gmail.com>
* release primaryBuffer on replace
Signed-off-by: raver119 <raver119@gmail.com>
* higher timeout
Signed-off-by: raver119 <raver119@gmail.com>
* disable timeouts
Signed-off-by: raver119 <raver119@gmail.com>
* dbCreateView now validates offset and length of a view
Signed-off-by: raver119 <raver119@gmail.com>
* additional validation for dbExpand
Signed-off-by: raver119 <raver119@gmail.com>
* restore timeout back again
Signed-off-by: raver119 <raver119@gmail.com>
* smaller distribution for rng test to prevent timeouts
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA DataBuffer::memcpy now copies to device all the time
Signed-off-by: raver119 <raver119@gmail.com>
* OpaqueDataBuffer now contains all required methods for interop
Signed-off-by: raver119 <raver119@gmail.com>
* some javadoc
Signed-off-by: raver119 <raver119@gmail.com>
* GC on failed allocations
Signed-off-by: raver119 <raver119@gmail.com>
* minoe memcpu tweak
Signed-off-by: raver119 <raver119@gmail.com>
* one more bitcast test
Signed-off-by: raver119 <raver119@gmail.com>
* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer additional syncStream
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer additional syncStream
Signed-off-by: raver119 <raver119@gmail.com>
* one ignored test
Signed-off-by: raver119 <raver119@gmail.com>
* skip host alloc for empty arrays
Signed-off-by: raver119 <raver119@gmail.com>
* ByteBuffer support is back
Signed-off-by: raver119 <raver119@gmail.com>
* DataBuffer::memcpy minor fix
Signed-off-by: raver119 <raver119@gmail.com>
* few minor prelu/bp tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* nullify-related fixes
Signed-off-by: raver119 <raver119@gmail.com>
* PReLU fixes (#157 )
Signed-off-by: Alex Black <blacka101@gmail.com>
* Build fixed
* Fix tests
* one more ByteBuffer signature restored
Signed-off-by: raver119 <raver119@gmail.com>
* nd4j-jdbc-hsql profiles fix
Signed-off-by: raver119 <raver119@gmail.com>
* nd4j-jdbc-hsql profiles fix
Signed-off-by: raver119 <raver119@gmail.com>
* PReLU weight init fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small PReLU fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views
Signed-off-by: raver119 <raver119@gmail.com>
* missed file
Signed-off-by: raver119 <raver119@gmail.com>
* Small tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* cuda 10.2
Signed-off-by: raver119 <raver119@gmail.com>
* minor fix
Signed-off-by: raver119 <raver119@gmail.com>
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
451d9d57fd
shape function override ( #161 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-04 09:06:44 +03:00
29104083cc
Various fixes ( #143 )
...
* #8568 ArrayUtil optimization
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #6171 Keras ReLU and ELU support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Keras softmax layer import
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8549 Webjars dependency management
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for TF import names ':0' suffix issue / NPE
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* BiasAdd: fix default data format for TF import
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update zoo test ignores
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8509 SameDiff Listener API - provide frame + iteration
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8520 ND4J Environment
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Deconv3d
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Deconv3d fixes + gradient check
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Conv3d fixes + deconv3d DType test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix issue with deconv3d gradinet check weight init
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DataType.isNumerical() returns false for BOOL type
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8504 Reduce Spark log spam for tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clean up DL4J gradient check test spam
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More Gradient check spam reduction
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff test spam reduction
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes for FlatBuffers mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff log spam cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests should extend BaseNd4jTest
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove debug line in c++ op
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ND4J test spam cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J test spam reduction
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More Dl4J and datavec test spam cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for bad conv3d test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Additional test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Embedding layers: don't inherit global default activation function
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Trigger CI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test fixes and timeout increases
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Timeouts and PReLU fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Restore libnd4j build threads arg for CUDA build
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Increase timeouts on a few tests to avoid spurious failures on some CI machines
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More timeout fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More test timeout fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweak timeout for one more test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Final tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* One more ignore
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-01-04 13:45:07 +11:00
064a56ccf1
Few fixes ( #66 )
...
* skip legacy transforms execution in case of empty input arrays
Signed-off-by: raver119 <raver119@gmail.com>
* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads
Signed-off-by: raver119 <raver119@gmail.com>
* java side
Signed-off-by: raver119 <raver119@gmail.com>
* trigger jenkins
Signed-off-by: raver119 <raver119@gmail.com>
* update LessThanOrEqual opNum mapping
Signed-off-by: raver119 <raver119@gmail.com>
* update LessThanOrEqual opNum mapping
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 15:43:03 +03:00
3f38900c33
J9+ -> J8 ByteBuffer fix ( #59 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-20 07:43:17 +03:00
66b84b38cf
Shyrma mmul ( #58 )
...
* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write own cuda kernel performing batched gemm
Signed-off-by: Yurii <iuriish@yahoo.com>
* missing include in MmulHelper
Signed-off-by: raver119 <raver119@gmail.com>
* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
Signed-off-by: Yurii <iuriish@yahoo.com>
* disable old tensordot
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account possible nans in C array
Signed-off-by: Yurii <iuriish@yahoo.com>
* slightly change numThreads message
Signed-off-by: raver119 <raver119@gmail.com>
* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-19 15:39:36 +02:00
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
Signed-off-by: raver119 <raver119@gmail.com>
* global platform-helpers trigger
Signed-off-by: raver119 <raver119@gmail.com>
* few signatures renamed
Signed-off-by: raver119 <raver119@gmail.com>
* - few new env variables to follow
- maxThreads/masterThreads differentiation
Signed-off-by: raver119 <raver119@gmail.com>
* Javadoc update
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-14 14:35:02 +03:00
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
Signed-off-by: raver119 <raver119@gmail.com>
* c++ scatterUpdate changes
Signed-off-by: raver119 <raver119@gmail.com>
* Remove aggregated ops.
* Restored test
* Tests restored.
* Minor fixes
2019-10-31 11:23:09 +02:00
d333d29099
SameDiff cleanup and fixes ( #12 )
...
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff API cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More SameDiff cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8252 TanhDerivative javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8225 Deconvolution2D input validation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8224 SameDiff.zero and .one create constants, not variables
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More cleanup and fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J SameDiff fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Re-add hack for Deconvolution2DLayer until #8315 is resolved
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* All ND4J init logging checks system property
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove redundant device logging
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* One more fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* UX improvements
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Deconv fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add deconv tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove debug code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
3f0b4a2d4c
SameDiff execution, TF and memory management overhaul ( #10 )
...
* SameDiff execution memory management improvements, round 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Round 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Round 3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next step
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add WeakIdentityHashmap
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Session fixes for control ops and next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* First steps for training session + in-line updating
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix losses and history during training
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* BiasAdd and other fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* First steps for new dependency tracking approach
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Start integrating dependency tracking for memory management
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Non-control op dependency tracking works/passes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch/merge
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix issue dependency tracking for initial variables/constants
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add check for aliases when determining if safe to close array
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* First pass on new TF graph import class
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Import fixes, op fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and fixes for new TF import mapper
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Partial implementation of new dependency tracker
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* AbstractDependencyTracker for shared code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Overhaul SameDiff graph execution (dependency tracking)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes, cleanup, next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ad no-op memory manager, cleanup, fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix switch dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* INDArray.toString: no exception on closed arrays, just note closed
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix enter and exit dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TensorArray memory management fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add unique ID for INDArray instances
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix memory management for NextIteration outputs in multi-iteration loops
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove (now unnecessary) special case handling for nested enters
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Handle control dependencies during execution; javadoc for memory managers
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup, polish, code comments, javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and more javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clean up arrays waiting on unexecuted ops at the end of execution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix order of operation issues for dependency tracker
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Always clear op fields after execution to avoid leaks or unintended array reuse
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Re-implement dtype conversion
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for control dependencies execution (dependency tracking)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix TF import overrides and filtering
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for constant enter array dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More DL4J fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More polish and javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More logging level tweaks, small DL4J fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix to DL4J SameDiffLayer
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix empty array deserialization, add extra deserialization checks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Variable control dependencies serialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix issue with removing inputs for ops
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers NDArray deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers NDArray deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Final cleanup/polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-23 21:19:50 +11:00
83d958d536
Sparse matrix refactoring. ( #8238 )
...
* remove sparse method from INDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove gemm
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove useage of n4j.sparseFactory
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Nd4j.sparseFactory removed.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* sparseNDArray deleted.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* iremove more sparse calls and constants.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove SparseBlasWrapper.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete BaseSparseBlaswrapper.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove 3 sparse factory classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete SparseCPULevel.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes JcusparseLevel, CUDASparselevel.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete nativeCPU sparse classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removes sparse methods from NDArrayFactory.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* more deletes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete (ignored) tests. BaseSparseNDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes ISparseNDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove sparse methods from indArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes sparse classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-17 22:56:29 +03:00
98e2814879
Platform helpers ( #8216 )
...
* platform helpers draft
Signed-off-by: raver119 <raver119@gmail.com>
* typo
Signed-off-by: raver119 <raver119@gmail.com>
* disable platform cmake
Signed-off-by: raver119 <raver119@gmail.com>
* another draft
Signed-off-by: raver119 <raver119@gmail.com>
* mkldnn convolution refactored
Signed-off-by: raver119 <raver119@gmail.com>
* minor tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* one more safety check
Signed-off-by: raver119 <raver119@gmail.com>
* prototype works
Signed-off-by: raver119 <raver119@gmail.com>
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* force static library mode for mkldnn
Signed-off-by: raver119 <raver119@gmail.com>
* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of small fixes
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* declare concurrent
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
Signed-off-by: raver119 <raver119@gmail.com>
* - avgpool2d_bp/maxpool2d_bp APIs update
Signed-off-by: raver119 <raver119@gmail.com>
* - conv2d/batchnorm APIs update
Signed-off-by: raver119 <raver119@gmail.com>
* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
Signed-off-by: raver119 <raver119@gmail.com>
* all ops converted to MKLDNN 1.x
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* namespace for platform helpers
Signed-off-by: raver119 <raver119@gmail.com>
* make sure platform helpers aren't opimized out
Signed-off-by: raver119 <raver119@gmail.com>
* build cpu_features on x86 systems
Signed-off-by: raver119 <raver119@gmail.com>
* build cpu_features on x86 systems
Signed-off-by: raver119 <raver119@gmail.com>
* more of cpu_features
Signed-off-by: raver119 <raver119@gmail.com>
* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
Signed-off-by: raver119 <raver119@gmail.com>
* F16C definition renamed
Signed-off-by: raver119 <raver119@gmail.com>
* some mkldnn rearrangements
Signed-off-by: raver119 <raver119@gmail.com>
* check supported instructions before doing anything
Signed-off-by: raver119 <raver119@gmail.com>
* typo
Signed-off-by: raver119 <raver119@gmail.com>
* missied impl
Signed-off-by: raver119 <raver119@gmail.com>
* BUILD_PIC option
Signed-off-by: raver119 <raver119@gmail.com>
* conv2d fix
Signed-off-by: raver119 <raver119@gmail.com>
* avgpool3d fix
Signed-off-by: raver119 <raver119@gmail.com>
* avgpool3d_bp fix
Signed-off-by: raver119 <raver119@gmail.com>
* avgpool2d_bp leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* avgpool3d_bp leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* maxpool bp leaks fixed
Signed-off-by: raver119 <raver119@gmail.com>
* printf removed
Signed-off-by: raver119 <raver119@gmail.com>
* batchnorm fix
Signed-off-by: raver119 <raver119@gmail.com>
* AVX warning/error polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* remove previous MKL-DNN support layer
Signed-off-by: raver119 <raver119@gmail.com>
* avx2 tweak
Signed-off-by: raver119 <raver119@gmail.com>
* allow static for apple
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* exclude mkldnn in one more place
Signed-off-by: raver119 <raver119@gmail.com>
* exclude mkldnn in one more place
Signed-off-by: raver119 <raver119@gmail.com>
* restore OPENBLAS_PATH use
Signed-off-by: raver119 <raver119@gmail.com>
* add runtime check for avx/avx2 support
Signed-off-by: raver119 <raver119@gmail.com>
* convolution_auto
Signed-off-by: raver119 <raver119@gmail.com>
* Add logic for helper argument
* minor test fix
Signed-off-by: raver119 <raver119@gmail.com>
* few tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* skip OpTracker props for non-x86 builds
Signed-off-by: raver119 <raver119@gmail.com>
* linux arm isn't x86 :)
Signed-off-by: raver119 <raver119@gmail.com>
* avx-512
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA presets fix
Signed-off-by: raver119 <raver119@gmail.com>
* BUILD_PIC
Signed-off-by: raver119 <raver119@gmail.com>
* prefetchw for avx2
Signed-off-by: raver119 <raver119@gmail.com>
* BUILD_PIC again
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-11 21:50:28 +03:00
a90c7dd995
[WIP] Last set of changes ( #234 )
...
* mmul op instead of cublasSgemm
Signed-off-by: raver119 <raver119@gmail.com>
* transB
Signed-off-by: raver119 <raver119@gmail.com>
* jcpp handles
Signed-off-by: raver119 <raver119@gmail.com>
* bitwise and/or/xor
Signed-off-by: raver119 <raver119@gmail.com>
* bitwise and/or/xor mapping
Signed-off-by: raver119 <raver119@gmail.com>
* cuda/cublas version check
Signed-off-by: raver119 <raver119@gmail.com>
* add expected version
Signed-off-by: raver119 <raver119@gmail.com>
* cuda/cublas version check in java
Signed-off-by: raver119 <raver119@gmail.com>
* one more error check
Signed-off-by: raver119 <raver119@gmail.com>
* build fix
Signed-off-by: raver119 <raver119@gmail.com>
* build fix
Signed-off-by: raver119 <raver119@gmail.com>
* build fix
Signed-off-by: raver119 <raver119@gmail.com>
* one more fix
Signed-off-by: raver119 <raver119@gmail.com>
* skip CUDA version check for now
Signed-off-by: raver119 <raver119@gmail.com>
* better wording
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-04 14:41:08 +03:00
25e5c23eae
[WIP] Error handling ( #169 )
...
* CUDA reverse rewrite + couple of tests
Signed-off-by: raver119 <raver119@gmail.com>
* don't throw exception on invalid pointer
Signed-off-by: raver119 <raver119@gmail.com>
* data types validation for fastpath exec mode + 2 tests
Signed-off-by: raver119 <raver119@gmail.com>
* data types validation for fastpath exec mode + 2 tests
Signed-off-by: raver119 <raver119@gmail.com>
* ismax allowed dtypes tweak
Signed-off-by: raver119 <raver119@gmail.com>
* lastErrorCode + lastErrorMessage for native exceptions handling
Signed-off-by: raver119 <raver119@gmail.com>
* exportable ErrorReference
Signed-off-by: raver119 <raver119@gmail.com>
* check error codes in java
Signed-off-by: raver119 <raver119@gmail.com>
* - consume lastErrorCode
- fast_in dtype validation fix
Signed-off-by: raver119 <raver119@gmail.com>
* - sg/cb allowed output type change
- minor logging fix for data type validation
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:57:51 +03:00
53ca9a76e8
[WIP] multi-device support ( #80 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
Signed-off-by: raver119 <raver119@gmail.com>
* release methods for data buffers
Signed-off-by: raver119 <raver119@gmail.com>
* delete temporary buffer Java side
Signed-off-by: raver119 <raver119@gmail.com>
* delete temporary buffer Java side
Signed-off-by: raver119 <raver119@gmail.com>
* delete temporary TadPack C++/Java side (#74 )
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* upsampling2d fix CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tiny tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* strided_slice_bp shape fn leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* fix javadoc. (#76 )
* fix javadoc.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace most @see with @link s.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 4 additional tests
Signed-off-by: raver119 <raver119@gmail.com>
* launch context reorganization
Signed-off-by: raver119 <raver119@gmail.com>
* LaunchContext reorganization
Signed-off-by: raver119 <raver119@gmail.com>
* per-device LaunchContext
Signed-off-by: raver119 <raver119@gmail.com>
* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8017 Concurrent modification exception (synchronize) fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8033 Don't initialize updater in middle of writing memory crash dump
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8208 Fix shape checks for ND4J int[] creator methods
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #6385 #7992 Keras import naming fixes + cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8016 Upsampling3D - add NDHWC format support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ContextBuffers as separate entity
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* remove duplicate code in createBufferDetached. (#83 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
Signed-off-by: eraly <susan.eraly@gmail.com>
* Keras model import - updater lr fix, cleanup
Signed-off-by: eraly <susan.eraly@gmail.com>
* ContextBuffers as separate entity
Signed-off-by: raver119 <raver119@gmail.com>
* ContextBuffers as separate entity
Signed-off-by: raver119 <raver119@gmail.com>
* Fix functions of OpaqueVariablesSet
* thread-local buffers/affinity
Signed-off-by: raver119 <raver119@gmail.com>
* thread safety for LaunchContext
Signed-off-by: raver119 <raver119@gmail.com>
* more of thread safety
Signed-off-by: raver119 <raver119@gmail.com>
* one more multi threaded test
Signed-off-by: raver119 <raver119@gmail.com>
* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* stackOutputs utility method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constructor for validation, support negative kernel sizes (infered from weights)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better output methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* move output to be with fit and evaluate
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace switch with if.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Reshape and reallocate - small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #6488 ElementWiseVertex broadcast support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Constructors and broadcast supported it Transforms.max/min
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8054 ElementWiseVertex now supports broadcast inputs
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8057 Nd4j.create overload dtype fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7551 ND4J Shape validation fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* [WIP] Numpy boolean import (#91 )
* numpy bool type
Signed-off-by: raver119 <raver119@gmail.com>
* numpy bool java side
Signed-off-by: raver119 <raver119@gmail.com>
* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removing more unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* last removal of unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove createSparse methods. (#92 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8063 #8054 Broadcast exceptions + cleanup inplace ops
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove bad test condition
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7993 Fix shape function issue in crop_and_resize op
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J SameDiff lambda layer fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8029 Fix for pnorm backprop math
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* createUninitializedDetached refactored.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* cuda build fix for issues introduced by recent refactoring
Signed-off-by: raver119 <raver119@gmail.com>
* [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
Signed-off-by: Yurii <yurii@skymind.io>
* - correct some tests
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed axpy op.
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* - fix tests for nativeOps::concat
Signed-off-by: Yurii <yurii@skymind.io>
* sequential transform/scalar
Signed-off-by: raver119 <raver119@gmail.com>
* allow nested parallelism
Signed-off-by: raver119 <raver119@gmail.com>
* assign_bp leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* block setRNG fix
Signed-off-by: raver119 <raver119@gmail.com>
* enable parallelism by default
Signed-off-by: raver119 <raver119@gmail.com>
* enable nested parallelism by default
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* - some tests fixes
Signed-off-by: Yurii <yurii@skymind.io>
* - correct the rest of reduce_ stuff
Signed-off-by: Yurii <yurii@skymind.io>
* - further correction of reduce_ stuff
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
Signed-off-by: Yurii <yurii@skymind.io>
* - provide cuda kernel for gatherND operation
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* minor tests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - further correction of cuda stuff
Signed-off-by: Yurii <yurii@skymind.io>
* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* - get rid of concat op call, use instead direct concat helper call
Signed-off-by: Yurii <yurii@skymind.io>
* lstmBlockCell context fix
Signed-off-by: raver119 <raver119@gmail.com>
* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
Signed-off-by: Yurii <yurii@skymind.io>
* operator * result shape fix
Signed-off-by: raver119 <raver119@gmail.com>
* - correct typo in lstmCell
Signed-off-by: Yurii <yurii@skymind.io>
* few tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA inverse broadcast bool fix
Signed-off-by: raver119 <raver119@gmail.com>
* disable MMAP test for CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* BooleanOp syncToDevice
Signed-off-by: raver119 <raver119@gmail.com>
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* additional data types for im2col/col2im
Signed-off-by: raver119 <raver119@gmail.com>
* Added test for firas_sparse op.
* one more RandomBuffer test excluded
Signed-off-by: raver119 <raver119@gmail.com>
* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* mmulDot tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Eliminate cbow crach.
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* Eliminated abortion with batched nlp test.
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
Signed-off-by: raver119 <raver119@gmail.com>
* scalar operators fix: missing registerSpecialUse call
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
Signed-off-by: Yurii <yurii@skymind.io>
* build fix
Signed-off-by: raver119 <raver119@gmail.com>
* exclude two methods for JNI
Signed-off-by: raver119 <raver119@gmail.com>
* exclude two methods for JNI
Signed-off-by: raver119 <raver119@gmail.com>
* exclude two methods for JNI (#97 )
Signed-off-by: raver119 <raver119@gmail.com>
* temporary stack fix
Signed-off-by: raver119 <raver119@gmail.com>
* round robin affinity test
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of legacy CudaContext methods
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of legacy ContextPool classes/methods
Signed-off-by: raver119 <raver119@gmail.com>
* one legacy test removed
Signed-off-by: raver119 <raver119@gmail.com>
* few more fields rearranged
Signed-off-by: raver119 <raver119@gmail.com>
* OpaqueLaunchContext
Signed-off-by: raver119 <raver119@gmail.com>
* OpaqueLaunchContext++
Signed-off-by: raver119 <raver119@gmail.com>
* more of OpaqueLaunchContext methods
Signed-off-by: raver119 <raver119@gmail.com>
* LaunchContext -> CudaContext
Signed-off-by: raver119 <raver119@gmail.com>
* AffinityManger changes
Signed-off-by: raver119 <raver119@gmail.com>
* AffinityManger changes
Signed-off-by: raver119 <raver119@gmail.com>
* cusolver handles
Signed-off-by: raver119 <raver119@gmail.com>
* typo
Signed-off-by: raver119 <raver119@gmail.com>
* cusolver method
Signed-off-by: raver119 <raver119@gmail.com>
* cusolver handle propagated
Signed-off-by: raver119 <raver119@gmail.com>
* blas/solver handles
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* legacy concat implementations replaced with new CustomOp
Signed-off-by: raver119 <raver119@gmail.com>
* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* concat now uses way more blocks
Signed-off-by: raver119 <raver119@gmail.com>
* print
Signed-off-by: raver119 <raver119@gmail.com>
* no more triple template mmul
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of kernels have dtypes reconsidered
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of kernels have dtypes reconsidered
Signed-off-by: raver119 <raver119@gmail.com>
* bitonic sort reorganized
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of cpu stuff removed from cuda scope
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of cpu stuff removed from cuda scope
Signed-off-by: raver119 <raver119@gmail.com>
* type conversions moved to generic impl
Signed-off-by: raver119 <raver119@gmail.com>
* cpu data types pass
Signed-off-by: raver119 <raver119@gmail.com>
* non_max_suppression
Signed-off-by: raver119 <raver119@gmail.com>
* sortByValue fix
Signed-off-by: raver119 <raver119@gmail.com>
* ignore all mixed datatype tests for mmul
Signed-off-by: raver119 <raver119@gmail.com>
* special handling of OpProfiler exceptions
Signed-off-by: raver119 <raver119@gmail.com>
* - one failing concat test in cpp
- Nd4j.tile now uses op internally
Signed-off-by: raver119 <raver119@gmail.com>
* get back dtype exception for legacy arrays deserialization
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 16:52:34 +03:00
065b34c7cb
[WIP] Numpy boolean import ( #91 )
...
* numpy bool type
Signed-off-by: raver119 <raver119@gmail.com>
* numpy bool java side
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:25:48 +10:00
8d1fe8b1b3
Fix functions of OpaqueVariablesSet
2019-08-05 11:24:20 +10:00
526b782e51
Create C wrappers for some of the C++ classes currently used by ND4J
2019-08-05 11:22:59 +10:00
8881bfe7aa
Adapt the Java wrappers in ND4J generated with JavaCPP
2019-08-05 11:22:59 +10:00
b9708be5db
delete temporary TadPack C++/Java side ( #74 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
59a006ce29
[WIP] More fixes ( #73 )
...
* special tests for ConstantTadHelper/ConstantShapeHelper
Signed-off-by: raver119 <raver119@gmail.com>
* release methods for data buffers
Signed-off-by: raver119 <raver119@gmail.com>
* delete temporary buffer Java side
Signed-off-by: raver119 <raver119@gmail.com>
* delete temporary buffer Java side
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
9cf28ea6c9
[WIP] CUDA tweaks ( #60 )
...
* special cpu concat
Signed-off-by: raver119 <raver119@gmail.com>
* special concat fix
Signed-off-by: raver119 <raver119@gmail.com>
* OpProfiler tweak for absent host pointers
Signed-off-by: raver119 <raver119@gmail.com>
* minor test tweak to see orders
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA broadcasting diff orders fix
Signed-off-by: raver119 <raver119@gmail.com>
* faster iterations
Signed-off-by: raver119 <raver119@gmail.com>
* OldSoftMax/OldLogSoftMax gone
Signed-off-by: raver119 <raver119@gmail.com>
* RandomLauncher tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* additional check int randomtests
Signed-off-by: raver119 <raver119@gmail.com>
* skip prepare/register action for empty arrays
Signed-off-by: raver119 <raver119@gmail.com>
* npz float16 fix
Signed-off-by: raver119 <raver119@gmail.com>
* empty reduction cuda fixes
Signed-off-by: raver119 <raver119@gmail.com>
* ShapeBufferTests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:06:48 +10:00
cb6654bebb
Add libnd4j benchmarks ( #3 )
...
This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
15e7984392
Small fixes ( #46 )
...
* - fix for eclipse/#7959
* createFromNpy scalar fix
Signed-off-by: raver119 <raver119@gmail.com>
* remove spam
Signed-off-by: raver119 <raver119@gmail.com>
* rng custom ops tests
Signed-off-by: raver119 <raver119@gmail.com>
* Numpy headers validation + tests
Signed-off-by: raver119 <raver119@gmail.com>
* fix for scalar string flat serde
Signed-off-by: raver119 <raver119@gmail.com>
* Where empty shape test
Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 22:20:14 +10:00
d854e28b34
System info export for debugging and bug reporting ( #34 )
...
* System info export for debugging and bug reporting
Signed-off-by: Ryan Nett <rnett@skymind.io>
* class name fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add version information, pointer memory info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add nvidia-smi and nvcc info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* line cleanup
Signed-off-by: Ryan Nett <rnett@skymind.io>
* nvidia-smi run works
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add oshi dependency
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use OS info, add workspaces info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use ServiceLoader to load GPU information
Signed-off-by: Ryan Nett <rnett@skymind.io>
* register service
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved service out of NativeOpsHolder (private constructor)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added newline
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and one more
Signed-off-by: Ryan Nett <rnett@skymind.io>
* copyright update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed more unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* close streams
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and another one
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* one more copyright
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove double license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved test to correct package
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath for java >8 fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:18:24 +10:00
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
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
raver119
Alex Black
Adam Gibson
Shams Ul Azeem
Alexander Stoyakin
Yurii Shyrma
Robert Altena
Samuel Audet
Ryan Nett
skymindops