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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-12-20 13:26:08 +0000 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-01-14 17:21:26 +0000 |
commit | cbbed288a71f2f048123db3cf396361e5d66ce93 (patch) | |
tree | bd48122e283272adb668a42097ea69ca3f0473a6 /src/core/CL/cl_kernels/depth_to_space.cl | |
parent | 70d33bdfd36e1b44b0573189dca67ed7c63dd59e (diff) | |
download | ComputeLibrary-cbbed288a71f2f048123db3cf396361e5d66ce93.tar.gz |
COMPMID-2991: Add support for QASYMM8_SIGNED in CL kernels/functions - part 2
Adding support for QASYMM8_SIGNED to the following CL kernels/functions:
- CLActivationLayerKernel/CLActivationLayer
- CLComparisonKernel/CLComparison
- CLConvertFullyConnectedWeightsKernel/CLConvertFullyConnectedWeights
- CLDeconvolutionLayerUpsampleKernel/CLDeconvolutionLayerUpsample
- CLDepthToSpaceLayerKernel/CLDepthToSpaceLayer
- CLDequantizationLayerKernel/CLDequantizationLayer
- CLGEMMMatrixVectorMultiplyKernel
- CLNormalizePlanarYUVLayerKernel
- CLPReluLayer
- CLPixelWiseMultiplicationKernel/CLPixelWiseMultiplication
- CLPoolingLayerKernel/CLPoolingLayer
Change-Id: I874bbb7c2b08baa9c5ff4c9e6bc8778b42a6bec5
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2539
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/depth_to_space.cl')
-rw-r--r-- | src/core/CL/cl_kernels/depth_to_space.cl | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/core/CL/cl_kernels/depth_to_space.cl b/src/core/CL/cl_kernels/depth_to_space.cl index 2ffd0a40e7..5c2e8a1d57 100644 --- a/src/core/CL/cl_kernels/depth_to_space.cl +++ b/src/core/CL/cl_kernels/depth_to_space.cl @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -30,7 +30,7 @@ * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2 * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2 * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 + * @param[in] input_ptr Pointer to the source tensor. Supported data types: All. * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) @@ -72,7 +72,7 @@ __kernel void depth_to_space_nchw( * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2 * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2 * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 + * @param[in] input_ptr Pointer to the source tensor. Supported data types: All. * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |