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-rw-r--r--arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h69
1 files changed, 55 insertions, 14 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
index 123f6380bb..409430d595 100644
--- a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 ARM Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,29 +24,55 @@
#ifndef ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H
#define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H
-#include "arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/ITransformWeights.h"
+#include <memory>
+
namespace arm_compute
{
+class CLCompileContext;
class ICLTensor;
+class ITensorInfo;
-/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */
-class CLConvertFullyConnectedWeights : public ICLSimpleFunction
+/** Basic function to run an @ref opencl::kernels::ClConvertFullyConnectedWeightsKernel. */
+class CLConvertFullyConnectedWeights : public IFunction
{
public:
+ /** Constructor */
+ CLConvertFullyConnectedWeights();
+ /** Destructor */
+ ~CLConvertFullyConnectedWeights();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLConvertFullyConnectedWeights(const CLConvertFullyConnectedWeights &) = delete;
+ /** Default move constructor */
+ CLConvertFullyConnectedWeights(CLConvertFullyConnectedWeights &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLConvertFullyConnectedWeights &operator=(const CLConvertFullyConnectedWeights &) = delete;
+ /** Default move assignment operator */
+ CLConvertFullyConnectedWeights &operator=(CLConvertFullyConnectedWeights &&) = default;
/** Initialize the function.
*
+ * Valid data layouts:
+ * - NHWC
+ * - NCHW
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |All |All |
+ *
* @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 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.
@@ -54,10 +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.
@@ -65,12 +93,22 @@ 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;
+
+private:
+ struct Impl;
+ std::unique_ptr<Impl> _impl;
};
namespace weights_transformations
{
-/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */
+/** Basic function to manage @ref CLConvertFullyConnectedWeights. */
class CLConvertFullyConnectedWeightsManaged : public ITransformWeights
{
public:
@@ -116,7 +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);
}