6dc7e2f08f
Update c++ copyrights
2021-02-01 21:31:45 +09:00
320924278d
Legacy API changes ( #441 )
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* initial commit
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* another initial commit
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* another initial commit
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* one more initial commit
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* next step
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* next step
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* Refactored buffer() and shapeInfo() methods usage with NDArray class.
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* Adopt Graph class methods to use const shapes.
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* Adopt choose op to use constant shapes.
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* Adopt where op shape method to use constant shapes.
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* Adopt lstsq op to use constant empty shapes.
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* Adopt matrix_diag_part op shape routine to use constant shapes.
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* Adopt determinant ops to use constant shapes.
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* Adopt mean_pairwssqerr_loss ops to use constant shapes.
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* Adopt ops shape methods.
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* Adopt shape methods for loss ops.
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* Adopt log_loss op shape method.
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* Adopt shape methods for ops.
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* Adopt dilation2d ops shape methods.
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* Adopted deconv2d ops shape methods.
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* Adopted dynamicRNN op shape method.
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* Adopted shape methods for ops.
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* Adopted shape methods for lstm layer ops.
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* few updates
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* first cuda tweak
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* Adopt constant shapes for sconv2d ops.
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* Adopt constant shapes for gru ops.
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* Adopt constant shapes with shape methods for segment ops and so on.
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* Adopted constant shapes with unsorted_segment_* ops.
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* Adopted constant shapes with gamma op shape method.
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* Adopted shape methods of reduce_stddev ops.
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* Adopted shape methods for reduce_* ops.
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* Adopt shape method for squeeze op.
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* Adopt strided_slice shape method.
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* Refactored concat op shape method to adopt constant shapes.
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* Adopted shape method for mirror_pad op.
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* Adopted split op shape method.
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* Adopted tile ops shape methods.
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* Added const cast for mkldnn routines handles.
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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.
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* Cosmetic changes to proper usage of constant pointers.
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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.
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* Refactored depthToSpace helpers.
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* Refactored histogram helpers.
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* Refactored im2col helpers.
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* Refactored gather and gatherND helpers.
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* Fixed buffer usage on percentile helper.
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* Fixed gather shape with helpers and range buffer usage.
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* Fixed buffer usage with space to depth helpers.
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* Fixed buffer usage and constant shapes.
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* Fixed buffer usage with LUP decomposition>
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* Refactored onehot_ helper.
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* Refactored pad and prefix to use constant shapes.
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* Refactoed softmax helpers.
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* Fixed space to batch helpers to use buffers properly.
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* Fixed stack and split helpers.
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* Fixed buffer usage with sparse to dense helpers.
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* Fixed buffer usage with mindistance_ helpers.
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* Fixed buffer usage with tile helper.
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* Fixed constant shape usage.
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* Fixed constant shape usage with legacy pairwise bool ops.
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* Refactored a couple of methods to adopt constant shape usage.
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* Fixed broadcasting with constant shape."
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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.
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* Refactored legacy ops with const shapes.
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* Refactored sort to adopt constant shapes.
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* Corrected sort for constant shape usage.
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* Fixed constant shape usage with special methods.
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* Refactored Context to conform with constant shape usage.
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* CUDA broadcasting headers
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* pairwise/indexreduce/random headers
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* Refactored native ops to adopt constant shapes.
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* legacy reduce3/scalar headers
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* Corrected pullRow signature and tests.
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* Corrected routines to proper use of constant shapes.
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* Refactored tests to use constant shapes properly.
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* Refactored legacy ops tests to use constant shapes properly.
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* Refactored buffer usage with NDArray tests.
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* Fixed native ops tests.
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* Fixed special concat routine.
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* Fixed buffer usage with test.
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* Fixed buffer usage with a test.
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* Refactored TAD.h and tests.
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* Refactored calcStrides* routines to use constant shapes.
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* Fixed miscelaneous errors with constant shapes.
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* NativeOps const changes
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* Corrected definitions for declared functions.
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* NativeOps const changes
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* few more const changes
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* Fixed const shapes with shape routines.
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* few more const changes
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* Fixed shape method for broadcastable case.
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* few more const changes
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* xw_plus_b BP shape fn restored
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* Fixed signatures with broadcasting.
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* Repaired backprops shape methods for a set of operations.
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* Refactored broadcast bool for cuda.
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* Refactored methods for 3 args with const qualifier.
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* Fixed a couple of kernel signatures for broadcasting.
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* Fixed kernels signatures for const buffers and shapes.
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* Refactored pairwise methods to persistent buffers and shapes usage.
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* Adopt const to buffers and shapes with kernels.
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* Adopt const to buffers and shapes with scalar kernels.
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* Refactored indexreduce kernels signatures to use const buffers and shapes.
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* Refactored pairwise kernels to adopt cons shapes and buffers.
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* Refactored pairwise bool kernels to adopt cons shapes and buffers.
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* Refactored random special ops to conform with const shapes and buffers.
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* Refactored native ops to conform with const shapes and buffers under cuda platform.
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* Cosmetical changes only.
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* Fixed const shapes and buffers error.
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* Corrected start pos routine.
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* Refactored methods to conform with const shapes and buffers.
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* Refactored helpers to use proper methods instead.
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* bunch of changes
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* next bunch of changes
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* next bunch of changes
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* Fixed execScalar declaration.
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* Fixed execScalar declaration.
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* Corrected const shape cases with sort and so on.
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* Fixed const shapes for sort.
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* Refactored kernel declarations to adopt const shapes.
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* Fixed kernels declarations to adopt const shapes.
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* Corrected kernel declarations to adopt const shapes and buffers.
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* Fixed kernels declarations to adopt const shapes.
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* Fixed segment helpers kernels declarations and so on to adopt const shapes.
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* Fixed const shape usage with segment and solve helpers.
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* Fixed kernel declaration with adjustWeight helper.
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* Fixed cuda implementations for constant shape helpers.
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* Adopted const shape usage with kernels.
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* Adopted top_k kernels to use const shapes and buffers.
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* Corrected kernels declarations to adopt const shapes with helpers.
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* Refactored NDArray definitions to adopt const shapes and buffers.
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* Fixed const shapes with image suppression helpers.
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* Slight improvement with buffers.
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* Refactored buffer usage.
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* Refactored buffer usage with tests.
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* Fixed const shape usage with definitions.
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* minor updates on cpu side
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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.
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* Refactored tear and tile kernels to adopt with const shapes.
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* softmax_loop fix
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* update missing signature
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* softmax again
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* few more missing consts
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* new methods updated
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2020-05-09 08:06:14 +03:00
e700b59f80
Shyrma weights format ( #329 )
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* - start to introduce additional weights formats into conv2d ops
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* - provide weights format variety in backprop conv2d and deconv2d ops, testing and fixing bugs
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* - forgot to recover kernels sizes in deconv2d_bp test
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* - built in weights format in depthwise conv 2d op
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* - provide new weights formats in mkl dnn conv ops
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* - provide new weights formats in cuda conv helpers
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* - working with new weights format in cudnn conv api
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* - take into account order of arrays in cudnn tensor descriptions
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* - provide new weights formats in cpu conv3d (ff/bp)
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* - provide new weights formats in cpu deconv3d (ff/bp)
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* - provide new weights formats in conv3d ops (ff/bp) based on mkl api
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* - provide new weights formats in conv3d ops (ff/bp) based on cudnn api
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* - resolve conflicts 2
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2020-03-20 12:11:27 +03:00
7a2ac800dd
Nullify ( #304 )
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* initial commit
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* bunch of tweaks
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* hamming distance nullification
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* Add output array value assignment for testing/debugging
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* don't assign empty arrays
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* conv2d/conv3d/depthwise2d nullified
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* conv2d/conv3d/depthwise2d nullified
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* conv2d/conv3d/depthwise2d nullified
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* few more fixes
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* im2col
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* pooling?
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* more nullified
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* ismax nullified
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* rollback ismax nullification
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* synchronized cublas handle use on per-device basis
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* hiding method from jcpp
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* get rid of test assigns in DeclarableOp
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* get rid of assigns
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* proper deviceId is back
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* include fixed
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2020-03-20 08:49:28 +03:00
78934c17ad
profiling of stack and unstack ops ( #261 )
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* - profiling of stack and unstack ops
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* - fix bug in cpu concat op
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* - correction of cuda stack and unstack
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* - change shape.h method which operates with unity dimensions strides
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* - rearrange stack tests
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* - correct evaluation of smallest stride for moving through contiguous axis
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* - forgot to update signature of function strideOverContigAxis in cuda concat and split ops
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* - remove ShapeUtils::shapeAsString method applied before input arrays validations
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* - further removing of ShapeUtils::shapeAsString
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* - take sub-array shapeIndo/offset calculation out of NDArray class
- add possibility of contiguous memory copy in execTransformAny op if opNum == assign
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* - correct test_empty_scatter_2 in EmptyTests.cpp
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* - profiling of slice op
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* - get rid of contiguous memcpy for some cases in concat and split ops
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* - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric
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* - correct typo in calculation of threads in cuda split op
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* - forgot to correct another set of threads variables in split cuda ops
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* - further conflicts resolving
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2020-03-03 07:32:37 +03:00
63fa3c2ef3
libnd4j polishing ( #273 )
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* 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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2020-03-02 12:49:41 +03:00
7a90a31cfb
Shyrma deconv3 ( #69 )
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* - profiling cuda kernels for vol2col and im2col
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* - correct addBias helper
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* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions
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2019-11-21 21:17:30 +02:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
agibsonccc
raver119
Yurii Shyrma