* resize_bicubic: allow more dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* resize_bicubic: allow less dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored resize_bicubic op to full conform with TF1.5 and tests.
* Corrected test to proper data type output.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected double input test to float constant outputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished with correction of tests for bicubic interpolated resizes expected.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed adjust_contrast ops to allow non-RGB inputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored adjust_contrast_v2 to conform with TF one.
Signed-off-by: shugeo <sgazeos@gmail.com>
* AdjustContrast tests activated
* two typos fixed
Signed-off-by: raver119 <raver119@gmail.com>
* cleaned up bert iterator tests (#110)
Signed-off-by: eraly <susan.eraly@gmail.com>
* Various pre-release fixes (#111)
* Various fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix default dtypes for MaxPoolWithArgmax
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small pre-release tweak (#112)
* Log UI address on launch as in previous Play-based UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Logging level tweak for UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* http not https
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec python ensure host (#113)
* ensure host
* one more host ensure
* info->debug
* [WIP] reverse improvements (#115)
* initial commit
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* reverse draft
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* reverse kernel
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* reverse kernel
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* 2 micro fixes
Signed-off-by: raver119 <raver119@gmail.com>
* Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
* Restore badges for PyPi and Apache license; and edit links. Removed badge for build status as build status for Deeplearning4j overall is not meaningful here. Java-Python coffee image removed as we (probably) don't want to be pointing to the old repo.
Apache LICENSE file added for pydatavec as it was not previously included.
Signed-off-by: Philip Khor <philip.khor@skymind.my>
* move badges to top for consistency
Signed-off-by: Philip Khor <philip.khor@skymind.my>
* some typos
Signed-off-by: Philip Khor <philip.khor@skymind.my>
* Add gitter chat link to be consistent with jumpy README
Signed-off-by: Philip Khor <philip.khor@skymind.my>
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
* Keras causal conv1d support first steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Causal conv mode
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Gradient check and fixes for causal conv1d
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix Conv1D import and testing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small keras test fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Don't allow setting causal convolution mode to conv2d/3d layers
Signed-off-by: Alex Black <blacka101@gmail.com>
* More robustly infer nIn for recurrent layers for ambiguous NCW and NWC cases
Signed-off-by: Alex Black <blacka101@gmail.com>
* Polish and cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* - add padding calculation in same mode in causal conv1d op for right mkl paddings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct causal condition in mkldnnUtils.cpp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct some code which caused additional round errors is betainc op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - put float in place of template parameter in nan assign in betainc op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix bug in betainc cuda kernel
Signed-off-by: Yurii <iuriish@yahoo.com>
* - start working on implementation of digamma function
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on digamma function (cpu)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in digamma op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - make correction n cuda kernel for polyGamma
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove unnecessary stuff from betaInc cuda kernel
Signed-off-by: Yurii <iuriish@yahoo.com>
* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged
Signed-off-by: Yurii <iuriish@yahoo.com>
* - restore id number of Not opertion in legacy_ops.h
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct padding calculation in mkl dnn conv1d causal
Signed-off-by: Yurii <iuriish@yahoo.com>
* restore empty check in adjust_contrast_v2
Signed-off-by: raver119 <raver119@gmail.com>
* fix narrowing down cast
Signed-off-by: raver119 <raver119@gmail.com>
* trigger jenkins
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* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
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>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
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* - few more tweaks
- tensormmul dtype validation
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* - few more tweaks
- batched gemm dtype validation
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* - few more tweaks
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>
* - few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add causal mode for cuda conv kernels
Signed-off-by: Yurii <iuriish@yahoo.com>
* Java side of Conv1D changes
Signed-off-by: raver119 <raver119@gmail.com>
* Add Conv1DDerivative op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Causal Conv1D gradient checks
Signed-off-by: Alex Black <blacka101@gmail.com>
* Tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
* - add causal padding mode to conv2d_bp
Signed-off-by: Yurii <iuriish@yahoo.com>
* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
Signed-off-by: raver119 <raver119@gmail.com>
* missing var
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proper processing for zero max_size inputs.
* Refactored kernel callers.
* Fixed return statement for logdet op helper.
* Refactored unsorted segment SqrtN op.
* get back 8 tail bytes on CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
Signed-off-by: raver119 <raver119@gmail.com>
* special atomic test
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* atomicMul/atomicDiv fix for 16bit values
Signed-off-by: raver119 <raver119@gmail.com>
* Eliminated waste prints.
* - improve performance of scatter (no lock) ops for 1D case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - improve scatter lock op performance for 1D case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide fast indices checking on cpu side for scatter and gather osp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - apply corrections requested by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
Alex Black
raver119
Yurii Shyrma
Alexander Stoyakin
Philip Khor
Robert Altena
shugeo
Fariz Rahman
Samuel Audet
Maxime Michel
Susan Eraly
CT