diff options
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 |