diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h b/arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h index 1611aa8ed4..5c5e5bed9a 100644 --- a/arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h +++ b/arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h @@ -61,8 +61,8 @@ public: /** Set the input and output tensors. * * @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); @@ -70,8 +70,8 @@ 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); @@ -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 ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output); @@ -91,8 +91,8 @@ 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, @@ -100,8 +100,8 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer * * @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All. - * @param[in] block_shape block shape tensor info with shape [M]. Data types supported: S32 - * @param[in] paddings paddings tensor info with shape [2, M]. Data types supported: S32 + * @param[in] block_shape block shape tensor info with shape [M]. Supported M: 2. Data types supported: S32 + * @param[in] paddings paddings tensor info with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 * @param[out] output Tensor output info. Data types supported: same as @p input * * @return a status @@ -112,8 +112,8 @@ public: * @param[in] input Tensor input info. 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 info. Data types supported: same as @p input * * @return a status |