* 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>
* 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>
* 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>
* 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
* Added a unit test to help refac QLearningDiscrete.trainStep()
Signed-off-by: unknown <aboulang2002@yahoo.com>
* Changed expReplay setter to package private
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
When doing classification we need to know the `numPossibleLabels`. If it's set to -1, then we get obscure and confusing null-pointers when accessing labels when calling `ComputationGraph.fit` on the iterator. This PR blocks the user from shooting themselves in the foot.
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* - gruCell_bp further
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* 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)
Signed-off-by: Yurii <yurii@skymind.io>
* comment one test for gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* - provide cuda static_rnn
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Added cuda device prefixes to declarations.
* Implementation of hashcode op with cuda helper. Initital revision.
* rnn cu impl removed
Signed-off-by: raver119 <raver119@gmail.com>
* Executioner fallback
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Tests for executioner
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Fixed tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added conversions for Long
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added conversions for Long
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added data types
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Failing test
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Types in conversions
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added mixins for integer types
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Conversion of different types to scalar
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Tests added
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Tests for arrays construction
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Construction tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Fixed slicing
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Add own Executioner implementation to nd4s
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Filter operation activated
* Collection tests activated
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Types in operations
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Commented unused code
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Types in operations
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* String implicit conversion added
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* String implicit conversion added
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* Added gradcheck test for dynamic_partition_bp op.
* - implementation of dilation op (cpu and cuda)
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* provide prelu_bp
Signed-off-by: Yurii <yurii@skymind.io>
* - provide gruCell_bp (old version ??)
Signed-off-by: Yurii <yurii@skymind.io>
* - polishing cumsum_bp and cumprod_bp tests
Signed-off-by: Yurii <yurii@skymind.io>
* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed atomicMul with float input/output
* implementation of cuda kernel for triu_bp operation
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored lup helper to add parrallel computing.
* cusolver libraries
Signed-off-by: raver119 <raver119@gmail.com>
* uncomment cuSolver APIs in svd.cu
Signed-off-by: Yurii <yurii@skymind.io>
* cusolver var
Signed-off-by: raver119 <raver119@gmail.com>
* - further work on cuSolver svd
Signed-off-by: Yurii <yurii@skymind.io>
* Implement usage of cuda solver to LUP decomposition.
* - correct naames in lup functions
Signed-off-by: Yurii <yurii@skymind.io>
* correct svdQR cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - provide transpositions of input matrices in case of c order in svdCudaQR
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored cholesky helper and implementation of cuda solver cholesky batch.
* - implementation of cuda kernel for tile bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed cholesky helper.
* Cholesky op helper implementation. Working double-based cublas implementation.
* bad import excluded
Signed-off-by: raver119 <raver119@gmail.com>
* Finished with cuda implementation of cholesky helper and tests.
* - implementation of cuda kernel for sru_bidirectional_backprop operation
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse helper.
* - further work on new gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* cuBLAS related fixes
Signed-off-by: raver119 <raver119@gmail.com>
* calculateOutputShapes() now passes device buffers as well
Signed-off-by: raver119 <raver119@gmail.com>
* special concat/average/accumulate init host pointers now
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* additional CudaDataBufferFactory signatures certain for data types
Signed-off-by: raver119 <raver119@gmail.com>
* cuSolver host buffer
Signed-off-by: raver119 <raver119@gmail.com>
* buffer to buffer memcpy host ptr allocation
Signed-off-by: raver119 <raver119@gmail.com>
* softmax and logSoftmax w/ dimension
Signed-off-by: Ryan Nett <rnett@skymind.io>
* start of while
Signed-off-by: Ryan Nett <rnett@skymind.io>
* if, start of javadocs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* while foreward pass working, backprop WIP
Signed-off-by: Ryan Nett <rnett@skymind.io>
* no backprop
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Tensorflow style if/while (& tests), name scope fixes (and test), argument interceptor (for if/while), use '_' in op names instead of ':'
Signed-off-by: Ryan Nett <rnett@skymind.io>
* javadoc
Signed-off-by: Ryan Nett <rnett@skymind.io>
* many fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* many fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Some fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* cleanup if condition doesn't return boolean
Signed-off-by: Ryan Nett <rnett@skymind.io>
* serialization fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constants instead of magic numbers
Signed-off-by: Ryan Nett <rnett@skymind.io>
* LeakyReLU: Use serScalar to set alpha correctly in TF import
LogX: remove incorrect TF mapping
Pow: remove TF import method (no mapping)
BaseOp: remove duplicate extraArgs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* un-ignore cifar-10 gan, as it is now passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
Alex Black
Robert Altena
Ryan Nett
Samuel Audet
Susan Eraly
raver119
Alexandre Boulanger
jxtps
Alexander Stoyakin