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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-04-26 11:33:05 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
| commit | c42f28d45e9b990276d54880d2cee9c9ee675a41 (patch) | |
| tree | 5b407f4cc8abb67ca3c9f95c1f59e3f79859495a /arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | |
| parent | 376c85f3d826526b8b197c55e22c10765a97631e (diff) | |
| download | ComputeLibrary-c42f28d45e9b990276d54880d2cee9c9ee675a41.tar.gz | |
COMPMID-1048 Add NHWC data format support to Winograd input transform 4x4_3x3
https://confluence.arm.com/display/MLENG/Winograd+Input+Transform%3A+NCHW+vs+NHWC+on+OpenCL
Change-Id: Iac35a54389266701b7d8f5434a7a37df85b7b187
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/133315
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h index b92ff2f60c..58e8291161 100644 --- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h @@ -49,6 +49,7 @@ public: * @note Winograd input transform supports the following configurations: * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3) * * @param[in] input The input tensor to transform. Data types supported: F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input @@ -60,6 +61,7 @@ public: * @note Winograd input transform supports the following configurations: * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3) * * @param[in] input The input tensor to transform. Data types supported: F32 * @param[in] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input |