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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-06-08 17:50:38 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:20 +0000 |
| commit | be39f1281ee4ad4e83b92ad5a09f6bdc40b5718f (patch) | |
| tree | 303b1250013301f915a43fe7cb86a5deedcaefe1 /arm_compute/core/CL | |
| parent | a8fdbbb072ed3a36da590d39168d676d6f5de26a (diff) | |
| download | ComputeLibrary-be39f1281ee4ad4e83b92ad5a09f6bdc40b5718f.tar.gz | |
COMPMID-1204 Add NHWC data format support to Winograd input transform 4x4_5x5
Change-Id: I3dffdd1772b78db27a4374f074a24a15a9552189
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134859
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h index 58e8291161..ddf07200d8 100644 --- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h @@ -49,7 +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) + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3), F(4x4, 5x5) * * @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 @@ -61,7 +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) + * Data Layout: NCHW for all configurations, NHWC for F(4x4, 3x3), F(4x4, 5x5) * * @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 |