diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLWinogradInputTransform.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLWinogradInputTransform.h | 20 |
1 files changed, 16 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h index 64d3e80bc9..1f89455aee 100644 --- a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h +++ b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h @@ -39,8 +39,14 @@ class CLWinogradInputTransform : public ICLSimpleFunction public: /** Set the input and output tensors. * - * @note Winograd input transform supports the following configurations: - * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) + * @note Winograd input transform supports the following configurations for NCWH data layout + * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), + * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), + * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) + * + * @note Winograd input transform supports the following configurations for NHWC data layout + * F(output tile, kernel size):F(4x4, 3x3), + * F(4x4, 5x5) * Strides: only unit strides * * @param[in] input The input tensor to transform. Data types supported: F32 @@ -50,8 +56,14 @@ public: void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform. * - * @note Winograd input transform supports the following configurations: - * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) + * @note Winograd input transform supports the following configurations for NCWH data layout + * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), + * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), + * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) + * + * @note Winograd input transform supports the following configurations for NHWC data layout + * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3) + * F(4x4, 5x5) * Strides: only unit strides * * @param[in] input The input tensor to transform. Data types supported: F32 |