* libnd4j: Multinomial op #8570 first raw step of multinomial random data generator implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op #8570 next step of multinomial random categories generator implementation on both cpu and cuda, need corrections and code clean up before review and testing * libnd4j: Multinomial op #8570 code clean up and fixed issues data selecting, moved from coords to tads * libnd4j: Multinomial op #8570 fixed cuda build add reference for math materials that was used for implementation * libnd4j: Multinomial op #8570 fixed several bugs, added several tests and improved cuda version. current implementation works, need testing of reproduction with the same seed * libnd4j: Multinomial op #8570 fixes and optimization after discussion in both cuda and cpu * libnd4j: Multinomial op #8570 add corrections after review, removed tads, replace 2D parallel loop by 3D Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op fixed declaration and add tests need discussion * libnd4j: Multinomial op fix in test * libnd4j: Multinomial op corrected behavior to get reproducible results, fixed issue in uniform value getting, tests added, need cuda review and cuda testing Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op fixed indexing on uniform calculation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op some corrections in max min declaration Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op fixed index calculation, added rewind, corrected input declaration, added stats tests, both cuda and cpu. cuda need testing * libnd4j: Multinomial op fixed bugs on cuda nad cpu. need review Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op corrected tests to handle different orders Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op some improvements after code review Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op more corrections after review Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op fixed seed usage, update tests, fixed cuda based on comments, fixed bug of rewind, removed one behavior, minor corrections. Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op minor corrections Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op rise the bound of fluctuation for random cases Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: Multinomial op modified operation inputs and update implementation and tests on both cpu and cuda * libnd4j: Multinomial op corrected data types according ops.proto Co-authored-by: raver119 <raver119@gmail.com> |
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.. | ||
BarnesHutTsne.cpp | ||
README.md | ||
activations.cpp | ||
addBias.cpp | ||
adjust_hue.cpp | ||
adjust_saturation.cpp | ||
axis.cpp | ||
batched_gemm.cpp | ||
batchnorm.cpp | ||
betaInc.cpp | ||
col2im.cpp | ||
compare_elem.cpp | ||
confusion.cpp | ||
convolutions.cpp | ||
cross.cpp | ||
d_t_s.cpp | ||
diGamma.cpp | ||
diag.cpp | ||
dilation2d.cpp | ||
dropout.cpp | ||
dynamic.cpp | ||
extract_patches.cpp | ||
fake_quantization.cpp | ||
flatten.cpp | ||
gather.cpp | ||
gradient.cpp | ||
gru.cpp | ||
hamming.cpp | ||
hashcode.cpp | ||
histogram.cpp | ||
histogramFixedWidth.cpp | ||
im2col.cpp | ||
image_draw_bounding_boxes.cpp | ||
image_resize.cpp | ||
image_suppression.cpp | ||
imagesHelpers.cpp | ||
ismax.cpp | ||
legacy_helper.cpp | ||
lrn.cpp | ||
lstm.cpp | ||
lup.cpp | ||
matrixSetDiag.cpp | ||
matrix_band.cpp | ||
matrix_diag_part.cpp | ||
max_pooling.cpp | ||
meshgrid.cpp | ||
minimax.cpp | ||
nth_element.cpp | ||
one_hot.cpp | ||
percentile.cpp | ||
polyGamma.cpp | ||
prefix.cpp | ||
print_variable.cpp | ||
random.cpp | ||
random_crop.cpp | ||
range.cpp | ||
reverse.cpp | ||
roll.cpp | ||
s_t_b.cpp | ||
s_t_d.cpp | ||
scatter.cpp | ||
segment.cpp | ||
sequence_mask.cpp | ||
sg_cb.cpp | ||
shift.cpp | ||
sru.cpp | ||
stack.cpp | ||
svd.cpp | ||
toggle_bits.cpp | ||
top_k.cpp | ||
transforms.cpp | ||
weights.cpp | ||
zeta.cpp |
README.md
This folder contains OpenMP implementations for operations helpers. Basically suited for homogenous x86-like platforms.