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authorManuel Bottini <manuel.bottini@arm.com>2020-04-08 10:15:51 +0100
committerManuel Bottini <manuel.bottini@arm.com>2020-04-23 17:53:59 +0000
commit2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce (patch)
tree078051a911f9b8883a3f11955cfd3b7ba0d7d9f3 /arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
parent0de45d0a8009e19331c4e29d617fa183167c513a (diff)
downloadComputeLibrary-2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce.tar.gz
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2
- CLFunctions have been updated Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h')
-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: