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-rw-r--r--arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h24
1 files changed, 23 insertions, 1 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
index 76a28ed6fe..123f6380bb 100644
--- a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
@@ -47,6 +47,17 @@ public:
* @return A status
*/
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.
+ * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
+ * @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);
/** 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.
@@ -96,7 +107,18 @@ public:
*/
void configure(const ICLTensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
{
- _func.configure(input, &_output, original_input_shape, data_layout);
+ configure(CLKernelLibrary::get().get_compile_context(), input, original_input_shape, data_layout);
+ }
+ /** Configures the @ref CLConvertFullyConnectedWeights function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source weights tensor info to convert. Data type supported: All.
+ * @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)
+ {
+ _func.configure(compile_context, input, &_output, original_input_shape, data_layout);
}
private: