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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-06-08 16:30:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
| commit | 80d65d8f27f3ade2b461517c4fa29938c37590ed (patch) | |
| tree | 851826cbe6470c52034cbc327d2160a0ccb685a6 /arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | |
| parent | 0fc25454b6ce499b7f89792f91b81a61a42d3182 (diff) | |
| download | ComputeLibrary-80d65d8f27f3ade2b461517c4fa29938c37590ed.tar.gz | |
COMPMID-1204 Add NHWC data format support to Winograd filter transform 4x4_5x5
Change-Id: I09adb8493fd2c438871c3d734cadf4b950c24d25
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134822
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h index 7360646019..5e3d815d8c 100644 --- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h @@ -51,7 +51,7 @@ public: * @note Winograd filter 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) and F(4x4, 5x5) * * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32. * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input @@ -63,7 +63,7 @@ public: * @note Winograd filter 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) and F(4x4, 5x5) * * @param[in] input Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32. * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_filter_transform_shape. Data types supported: Same as @p input |