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-rw-r--r--arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h24
-rw-r--r--arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.h16
2 files changed, 20 insertions, 20 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
diff --git a/arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.h b/arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.h
index 6df06e87ec..62af092c40 100644
--- a/arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.h
+++ b/arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.h
@@ -59,8 +59,8 @@ 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 ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output);
@@ -69,16 +69,16 @@ 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 NESpaceToBatchLayer
*
* @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 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 info. Data types supported: same as @p input
*
* @return a status
@@ -89,8 +89,8 @@ 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[in] output Tensor output info. Data types supported: same as @p input
*
* @return a status
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-02 11:53:30 +0000