* initial set of include changes
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* one more tweak
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* few more rearrangements
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* few more rearrangements
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* few more rearrangements
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* cuda includes rearrangements
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* java update
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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix
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* java update
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* LoopKind minor fix
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* few more changes
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* few more changes
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* few more changes
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* sanitizer is optional now
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* dev tests updated
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* few more changes
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* last update
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* java update
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* - 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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* - 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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* Refactored kernels for segment_max/min/sum ops.
* Refactored segment_prod kernels.
* Refactored segment_prod kernels.
* DynamicPartition test
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* Addede linear test for dynamic_partition op.
* Refactored test with int datatype.
* some logging
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* some logging
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* some logging
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* dynamicPartition fix
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* get rid of some logging
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* one more test for dynamic_stitch
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* one more test for dynamic_stitch
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* empty check for stitch
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* minor print changes
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* initial commit
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* - gruCell_bp further
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* - further work on gruCell_bp
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* Inverse matrix cublas implementation. Partial working revision.
* Separation of segment ops helpers. Max separation.
* Separated segment_min ops.
* Separation of segment_mean/sum/prod/sqrtN ops heleprs.
* Fixed diagonal processing with LUP decomposition.
* Modified inversion approach using current state of LU decomposition.
* Implementation of matrix_inverse op with cuda kernels. Working revision.
* Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests.
* - further work on gruCell_bp (ff/cuda)
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* comment one test for gruCell_bp
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* - provide cuda static_rnn
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* Refactored random_shuffle op to use new random generator.
* Refactored random_shuffle op helper.
* Fixed debug tests with random ops tests.
* Implement random_shuffle op cuda kernel helper and tests.
* - provide cuda scatter_update
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* Implementation of random_shuffle for linear case with cuda kernels and tests.
* Implemented random_shuffle with cuda kernels. Final revision.
* - finally gruCell_bp is completed
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* Dropout op cuda helper implementation.
* Implemented dropout_bp cuda helper.
* Implemented alpha_dropout_bp with cuda kernel helpers.
* Refactored helper.
* Implementation of suppresion helper with cuda kernels.
* - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue
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* Using sort by value method.
* Implementation of image.non_max_suppression op cuda-based helper.
* - correcting and testing adjust_hue, adjust_saturation cpu/cuda code
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* Added cuda device prefixes to declarations.
* Implementation of hashcode op with cuda helper. Initital revision.
* rnn cu impl removed
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raver119
Yurii Shyrma
shugeo