ed5a2e56f9
Merge pull request #8931 from KonduitAI/master
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bump up shared memory (#449 ) [WIP]
2020-05-11 23:58:36 +10:00
05c0f12c73
bump up shared memory ( #449 )
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-05-11 16:55:23 +03:00
9db86cec7a
Merge pull request #8930 from KonduitAI/master
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Development updates
2020-05-11 22:57:02 +10:00
0d8b2d65cd
Merge remote-tracking branch 'eclipse/master'
2020-05-11 22:53:22 +10:00
f0adb6f788
[WIP] minor fixes ( #447 )
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* couple of tests disabled
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* few syncs removed, some logging added
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* some logging added
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* some logging added
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* fix min num_threads
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* fixed wrong release function for scalarPointer
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2020-05-11 15:41:43 +03:00
b786418c5d
Fix an issue when creating DataBuffer/INDArray from ByteBuffer for multiple datatypes ( #446 )
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* Fix missing dtypes when creating DataBuffer from ByteBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Revert LongIndexer -> ULongIndexer; fixes for UIntIndexer
Signed-off-by: Alex Black <blacka101@gmail.com>
* CUDA fix
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-11 21:29:52 +10:00
a76f957b72
Merge pull request #8872 from printomi/ui_multisession_arbiter
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DL4J UI: Add multi-session support for Arbiter
2020-05-11 19:24:17 +10:00
91a2004d8f
Assorted fixes ( #445 )
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* #8890 TestTransferStatsCollection timeout fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8890 RegressionTest timeout fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Increase timeout for flaky test
Signed-off-by: Alex Black <blacka101@gmail.com>
* Remove test dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
* BLAS iamax + loop -> argmax
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-11 15:57:00 +10:00
57d16653c8
Merge remote-tracking branch 'eclipse/master'
2020-05-11 12:55:36 +10:00
2cdb2b3447
Remove GloVe ( #437 )
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GloVe has been unmaintained and broken for a long time. The only people asking about it where those who were stumped by the broken example.
GloVe on its own has one intrinsic problem: a vocabulary of size N requires to build a matrix of NxN. This resulted in suboptimal performance for most people.
Overall, there are better performing approaches these days so it isn't worth the effort to fix this implementation.
Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
2020-05-11 12:31:28 +10:00
ea56ce7471
Import fix given recent refactoring
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Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-11 12:25:31 +10:00
20f451e807
Merge remote-tracking branch 'eclipse/master' into ui_multisession_arbiter
2020-05-11 11:49:50 +10:00
58fe365c21
Merge pull request #8908 from hosuaby/feature/loadModelFromStream
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FEATURE: change API of WordVectorSerializer. Add posibility to read m…
2020-05-11 11:45:48 +10:00
6844cfe126
Merge pull request #8929 from KonduitAI/master
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Development updates
2020-05-09 20:00:02 +10:00
e883256400
Merge remote-tracking branch 'eclipse/master'
2020-05-09 19:58:07 +10:00
10d6c3b024
do not relocate stuff on java side ( #444 )
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-05-09 12:56:45 +03:00
2849299bfb
Fix for https://github.com/eclipse/deeplearning4j/issues/8909 ( #430 )
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-05-09 08:09:26 +03:00
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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* next step
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* next step
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* Refactored buffer() and shapeInfo() methods usage with NDArray class.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adopt Graph class methods to use const shapes.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adopt matrix_diag_part op shape routine to use constant shapes.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adopt determinant ops to use constant shapes.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adopt mean_pairwssqerr_loss ops to use constant shapes.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed const shape usage with segment and solve helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed kernel declaration with adjustWeight helper.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00
0613485654
compression ops ( #436 )
...
* Added declarations for decode/encode_bitmap ops.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added implementation for bitmap encoding/decoding ops.
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* Added helpers for encode/decode bitmap ops.
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* Refactored encodingBitmap helper.
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* threshold encode/decode skeleton
* helper skeleton
* minor import fix
* encoder shape fn & op impl
* thresholdEncode cpu impl
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* thresholdDecode cpu impl
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* Only cosmetical changes.
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* placeholder
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* Added cuda implementation for bitmap decode helper.
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* cuda thresholdEstimate
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* cuda thresholdDecode
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* next step
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* - nano cmakelist update (get rid of Clion section)
- fixed forgotten throw in AtomicTests
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* thesholdEncode cuda impl
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* Added tests for bitmap encoding/decoding ops.
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* Fixed tests for encode/decode bitmaps.
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* Refactored decode/encode helpers.
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* Fixed crashes with bitmap decode/encode helpers.
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* bitmap encode/decode CPU
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* bitmap encode/decode CUDA
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* C API removed for threshold/bitmap encode
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* EncodeBitmap/DecodeBitmap Java side
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* EncodeThreshold/DecodeThreshold Java side
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* EncodeThreshold/DecodeThreshold Java side
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* few more tests for threshold encoding
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* minor test tweak
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* two special tests
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* encodeBitmap CPU fix
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* parallel_long/parallel_double proper spans fix
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* encodeThreshold CUDA fix
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* nano fix
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* grid tweaks
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* RTX adaptation for thresholdEncode
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* don't allow threshold encoding for length < 2
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* get rid of NDArrayCompressor in EncodingHandler
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* one more minor update of EncodingHandler
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* one more minor tweak of EncodingHandler
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* - matmul allows integer data types use
- EncodingHandler boundary default value
- few tests for integer matmul
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* minor fix of CUDA bitmap encode
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* boundary changed to integer everywhere
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* boundary changed to integer everywhere
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* re-enable CUDA deallocator
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* threshold encoder fix for systems without omp
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* - encode_threshold now requires non-negative boundary
- minor tweak in EncodingHandler
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* restore parallelism in decode_bitmap
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* fall back to omp for encode_bitmap cpu
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* single time casts
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* - additional test for encode_threshold
- sync buffers to device before calling for shape function
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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-08 20:59:39 +03:00
9f47c8aca8
narrow down UIServer.stop() to declare throwing InterruptedException; fix typo in test
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:08:01 +02:00
cf24728f35
tests for auto-attach and manual attach; improve JavaDoc
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:08:00 +02:00
55be669069
use last completed task for Total Runtime instead of currentTimeMillis in ArbiterModule Summary Status
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:07:59 +02:00
cf11c2394a
fix session list relative links in TrainModule and ArbiterModule; fix auto-attach in ArbiterModule at arbiter/sid
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:07:59 +02:00
8f55214d1b
JavaScript side of multi-session support in Arbiter UI
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:07:58 +02:00
64c9008ea7
multi-session routes in ArbiterModule, optimize getLastUpdateTime
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:07:55 +02:00
d3c759e03f
[WIP] basic handling of multi-session in ArbiterModule (routes: arbiter, arbiter/multisession)
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:06:16 +02:00
f1ebced7a1
simplify TrainModule to use getters of VertxUIServer instance for multi-session mode, session loader and server address
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:06:07 +02:00
ef7c21c204
fix logging of UI server auto-stop, fix indentation in test
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Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
2020-05-08 13:02:30 +02:00
c7ea7e17f8
FIX: tests
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Signed-off-by: hosuaby <alexei.klenin@gmail.com>
2020-05-08 12:42:29 +02:00
f1232f8221
Drop stale documentation ( #438 )
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The current documentation can be found on https://deeplearning4j.konduit.ai/ and soon in a new git repository too.
The documentation in this repository has been stale for a while and keeping it around will only serve to confuse people.
Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
2020-05-08 15:39:41 +10:00
53920a0724
Update dependencies for OpenBLAS 0.3.9-1 ( #440 )
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Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2020-05-08 15:33:28 +10:00
965d45e3a3
Fix doc. ( #8905 )
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"By either a String *or a Path*"
Signed-off-by: Marc Sunet <msunet@shellblade.net>
2020-05-06 09:59:53 +02:00
37d880a23c
Merge pull request #8923 from KonduitAI/master
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Development updates
2020-05-06 16:53:46 +10:00
615a48f0cf
Fixes ( #434 )
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* #8901 Avoid unnecessary warning in SameDiffLoss
Signed-off-by: Alex Black <blacka101@gmail.com>
* Improved error messages for conv2d layers - NCHW vs. NHWC
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-05 12:24:03 +10:00
7651a486e1
#8201 ImageLoader/NativeImageLoader NHWC support ( #432 )
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Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-04 17:17:57 +10:00
b70e02a915
Fix deeplearning4j-util dependency + update remnants still using it ( #428 )
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Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-04 15:54:03 +10:00
092e6b9891
ImageRecordReader - NHWC support ( #431 )
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* #8201 ImageRecordReader - NHWC support
Signed-off-by: Alex Black <blacka101@gmail.com>
* Check values - NCHW vs. NHWC
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-04 14:25:19 +10:00
dab75fa50b
FEATURE: change API of WordVectorSerializer. Add posibility to read models from InputStreams and not only from files
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Signed-off-by: hosuaby <alexei.klenin@gmail.com>
2020-05-02 18:48:22 +02:00
4dbdaca967
Add support for registering custom loss functions for Keras import ( #427 )
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Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
2020-05-02 16:08:04 +10:00
6c9a14d8c2
added missing copyright :)
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-05-01 22:22:34 +03:00
c1e4613dba
rootDir null validation in ExistingMiniBatchDataSetIterator
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-05-01 22:11:56 +03:00
88ef784b7c
Merge pull request #8899 from KonduitAI/master
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Latest development updates
2020-05-01 18:48:52 +10:00
e64fbbdc9b
Re-enable datavec-geo and datavec-hadoop as module in pom.xml; update imports ( #425 )
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* Re-enable datavec-geo and datavec-hadoop as module in pom.xml; update imports
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix parent pom and cyclical dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-01 17:32:29 +10:00
668d773993
windows build instructions minor update
2020-04-30 18:13:09 +03:00
a6ca87dce6
one deprecated method
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-04-30 11:22:25 +03:00
cdea8be63a
Import fixes ( #424 )
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* Import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Import fix
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-30 14:09:13 +10:00
ffab4eec42
Fix SameDiff session termination condition when listener requests array after final requested output ( #423 )
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* custom listener test
* abst session
Signed-off-by: eraly <susan.eraly@gmail.com>
* Partial fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix for execution termination condition
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small error mesage improvement
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: eraly <susan.eraly@gmail.com>
2020-04-30 10:47:32 +10:00
88d3c4867f
Refactor packages to fix split package issues ( #411 )
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* Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix CUDA (missed nd4j-common package refactoring changes)
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-kryo: org.nd4j -> org.nd4j.kryo
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix nd4j-common for deeplearning4j-cuda
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* Import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model
Signed-off-by: Alex Black <blacka101@gmail.com>
* datavec-spark-inference-{server/model/client}: org.datavec.spark.transform -> org.datavec.spark.inference.{server/model/client}
Signed-off-by: Alex Black <blacka101@gmail.com>
* datavec-jdbc: org.datavec.api -> org.datavec.jdbc
Signed-off-by: Alex Black <blacka101@gmail.com>
* Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
Signed-off-by: Alex Black <blacka101@gmail.com>
* ND4S fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Trigger CI
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix bad imports in tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add ignore on test (already failing) due to #8882
Signed-off-by: Alex Black <blacka101@gmail.com>
* Import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Additional import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-29 11:19:26 +10:00
bc8a9d1996
allocation of buffers backed by workspaces with 1 method call instead of 3 now ( #420 )
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Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-04-28 20:38:16 +03:00
1930d99908
Merge pull request #8892 from KonduitAI/master
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Merge latest development work
2020-04-28 20:38:56 +10:00
Alex Black
raver119
Paul Dubs
Tamás Fenyvesi
Alexei KLENIN
Samuel Audet
Jeanne-Kamikaze