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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h27
1 files changed, 18 insertions, 9 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
index 6c7d9e52e8..409430d595 100644
--- a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2021 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -68,10 +68,11 @@ public:
* @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
* @param[in] data_layout The data layout the weights have been trained in.
- *
- * @return A status
*/
- void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
+ void configure(const ICLTensor *input,
+ ICLTensor *output,
+ const TensorShape &original_input_shape,
+ DataLayout data_layout);
/** Initialize the function.
*
* @param[in] compile_context The compile context to be used.
@@ -79,10 +80,12 @@ public:
* @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
* @param[in] data_layout The data layout the weights have been trained in.
- *
- * @return A status
*/
- void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
+ void configure(const CLCompileContext &compile_context,
+ const ICLTensor *input,
+ ICLTensor *output,
+ const TensorShape &original_input_shape,
+ DataLayout data_layout);
/** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights
*
* @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
@@ -90,7 +93,10 @@ public:
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
* @param[in] data_layout The data layout the weights have been trained in.
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *output,
+ const TensorShape &original_input_shape,
+ DataLayout data_layout);
// Inherited methods overridden:
void run() override;
@@ -148,7 +154,10 @@ public:
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
* @param[in] data_layout The data layout the weights have been trained in.
*/
- void configure(const CLCompileContext &compile_context, const ICLTensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
+ void configure(const CLCompileContext &compile_context,
+ const ICLTensor *input,
+ const TensorShape &original_input_shape,
+ DataLayout data_layout)
{
_func.configure(compile_context, input, &_output, original_input_shape, data_layout);
}