diff options
Diffstat (limited to 'src/core/NEON/kernels/NESpaceToBatchLayerKernel.h')
| -rw-r--r-- | src/core/NEON/kernels/NESpaceToBatchLayerKernel.h | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/src/core/NEON/kernels/NESpaceToBatchLayerKernel.h b/src/core/NEON/kernels/NESpaceToBatchLayerKernel.h index 627724580b..44b8cbb514 100644 --- a/src/core/NEON/kernels/NESpaceToBatchLayerKernel.h +++ b/src/core/NEON/kernels/NESpaceToBatchLayerKernel.h @@ -55,8 +55,8 @@ 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 ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output); @@ -65,16 +65,16 @@ 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 ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayerKernel * * @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 @@ -85,8 +85,8 @@ 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 @@ -98,8 +98,8 @@ public: private: const ITensor *_input; /**< Source tensor */ - const ITensor *_block_shape; /**< Block shape tensor */ - const ITensor *_paddings; /**< Paddings tensor */ + const ITensor *_block_shape; /**< Block shape tensor for dynamic evaluation */ + const ITensor *_paddings; /**< Paddings tensor for dynamic evaluation */ ITensor *_output; /**< Destination tensor */ DataLayout _data_layout; /**< Data layout to be used at run-time */ |