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authorSang-Hoon Park <sang-hoon.park@arm.com>2021-01-27 13:14:56 +0000
committerSang-Hoon Park <sang-hoon.park@arm.com>2021-03-08 16:36:32 +0000
commit201e0fee596dafcf9c869a550fae29779aad2394 (patch)
treea0301279bd02ee65902b62e57ef1f1930e52d5b7 /docs/00_introduction.dox
parenteda87d40532304482acade655580930329a0bb8b (diff)
downloadComputeLibrary-201e0fee596dafcf9c869a550fae29779aad2394.tar.gz
Make Softmax kernels on OpenCL stateless
* ClSoftmaxKernel and ClSoftmax are created. * ClSoftmaxKernel is now state-less and ClSoftmax handles the internal tensors required for computation. * add_const_tensor() is added to TensorPack not only to have symmetric interface but also to benefit from implicit conversion. Implements: COMPMID-3998 Change-Id: I4f823121777be24260fd12b2cd71a6ff718c4eed Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5087 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'docs/00_introduction.dox')
-rw-r--r--docs/00_introduction.dox6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index 8616cb6d13..eb8256f61d 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -295,8 +295,8 @@ v20.11 Public major release
- CLWidthConcatenateLayerKernel
- CLWidthConcatenate4TensorsKernel
- CLWidthConcatenate2TensorsKernel
- - @ref CLLogits1DMaxShiftExpSumKernel
- - @ref CLLogits1DNormKernel
+ - CLLogits1DMaxShiftExpSumKernel
+ - CLLogits1DNormKernel
- CLHeightConcatenateLayerKernel
- @ref CLGEMMMatrixMultiplyKernel
- @ref CLGEMMLowpQuantizeDownInt32ScaleKernel
@@ -1400,7 +1400,7 @@ v17.03 Sources preview
v17.02.1 Sources preview
- New OpenCL kernels / functions:
- - CLLogits1DMaxKernel, CLLogits1DShiftExpSumKernel, @ref CLLogits1DNormKernel / @ref CLSoftmaxLayer
+ - CLLogits1DMaxKernel, CLLogits1DShiftExpSumKernel, CLLogits1DNormKernel / @ref CLSoftmaxLayer
- CLPoolingLayerKernel / @ref CLPoolingLayer
- @ref CLIm2ColKernel, @ref CLCol2ImKernel, CLConvolutionLayerWeightsReshapeKernel / CLConvolutionLayer
- @ref CLRemapKernel / @ref CLRemap