diff options
Diffstat (limited to 'src/core/CL/kernels/CLSpaceToBatchLayerKernel.h')
| -rw-r--r-- | src/core/CL/kernels/CLSpaceToBatchLayerKernel.h | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/src/core/CL/kernels/CLSpaceToBatchLayerKernel.h b/src/core/CL/kernels/CLSpaceToBatchLayerKernel.h index 4819c80fce..4817cfeef2 100644 --- a/src/core/CL/kernels/CLSpaceToBatchLayerKernel.h +++ b/src/core/CL/kernels/CLSpaceToBatchLayerKernel.h @@ -50,8 +50,8 @@ public: /** Initialise the kernel's inputs and output. * * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. - * @param[in] block_shape 1-D tensor with shape [M]. Data types supported: S32 - * @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32 + * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32 + * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 * @param[out] output Tensor output. Data types supported: same as @p input */ void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output); @@ -59,8 +59,8 @@ public: * * @param[in] compile_context The compile context to be used. * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. - * @param[in] block_shape 1-D tensor with shape [M]. Data types supported: S32 - * @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32 + * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32 + * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 * @param[out] output Tensor output. Data types supported: same as @p input */ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output); @@ -69,8 +69,8 @@ public: * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. * @param[in] block_shape_x Block shape x value. * @param[in] block_shape_y Block shape y value. - * @param[in] padding_left The left padding of the output tensor. - * @param[in] padding_right The right padding of the output tensor. + * @param[in] padding_left The padding at the beginning of every dimension of the output tensor. + * @param[in] padding_right The padding at the end of every dimension of the output tensor. * @param[out] output Tensor output. Data types supported: same as @p input */ void configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output); @@ -80,8 +80,8 @@ public: * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. * @param[in] block_shape_x Block shape x value. * @param[in] block_shape_y Block shape y value. - * @param[in] padding_left The left padding of the output tensor. - * @param[in] padding_right The right padding of the output tensor. + * @param[in] padding_left The padding at the beginning of every dimension of the output tensor. + * @param[in] padding_right The padding at the end of every dimension of the output tensor. * @param[out] output Tensor output. Data types supported: same as @p input */ void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, @@ -89,8 +89,8 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayerKernel * * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. - * @param[in] block_shape 1-D tensor with shape [M]. Data types supported: S32 - * @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32 + * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32 + * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 * @param[in] output Tensor output. Data types supported: same as @p input * * @return a status @@ -101,8 +101,8 @@ public: * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. * @param[in] block_shape_x Block shape x value. * @param[in] block_shape_y Block shape y value. - * @param[in] padding_left The left padding of the output tensor. - * @param[in] padding_right The right padding of the output tensor. + * @param[in] padding_left The padding at the beginning of every dimension of the output tensor. + * @param[in] padding_right The padding at the end of every dimension of the output tensor. * @param[in] output Tensor output. Data types supported: same as @p input * * @return a status @@ -114,8 +114,8 @@ public: private: const ICLTensor *_input; /**< Source tensor */ - const ICLTensor *_block_shape; /**< Block shape tensor */ - const ICLTensor *_paddings; /**< Paddings tensor */ + const ICLTensor *_block_shape; /**< Block shape tensor for dynamic evaluation */ + const ICLTensor *_paddings; /**< Paddings tensor for dynamic evaluation */ ICLTensor *_output; /**< Destination tensor */ }; } // namespace arm_compute |