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+/*
+ * Copyright (c) 2022-2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_CL_INDIRECT_CONV2D_H
+#define ARM_COMPUTE_CL_INDIRECT_CONV2D_H
+
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/function_info/ActivationLayerInfo.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTypes.h"
+
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClKernel.h"
+#include "src/gpu/cl/IClOperator.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+// Forward declaration
+struct DirectConvComputeKernelInfo;
+
+namespace opencl
+{
+/** Basic function to execute indirect convolution on OpenCL. This function calls the following OpenCL kernels:
+ *
+ * -# @ref kernels::ClIndirectConv2dAddressPrecalculationKernel
+ * -# @ref kernels::ClIndirectConv2dKernel
+ */
+class ClIndirectConv2d : public IClOperator
+{
+public:
+ ClIndirectConv2d() = default;
+ /** Initialise the kernel's inputs and output
+ *
+ * Valid data layouts:
+ * - NHWC
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |src2 |dst |
+ * |:------------|:-----------|:---------|:--------------|
+ * |F32 |F32 |F32 |F32 |
+ * |F16 |F16 |F16 |F16 |
+ *
+ * @note All tensors must have the same data type.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor. 3 lower dimensions represent a single src,
+ * while every optional dimension from 4 and above represent a batch of sources.
+ * Data types supported: F16/F32.
+ * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions. Data type supported:Same as @p src.
+ * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
+ * Data type supported: Should match @p src data type.
+ * @param[out] dst Destination tensor. 3 lower dimensions represent a single dst, while the rest represent batch of destinations.
+ * Data types supported: Same as @p src.
+ * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ */
+ void configure(const CLCompileContext &compile_context,
+ ITensorInfo *src,
+ ITensorInfo *weights,
+ ITensorInfo *biases,
+ ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to ClIndirectConv2d::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+
+ // Inherited methods overridden:
+ void run(ITensorPack &tensors) override;
+ void prepare(ITensorPack &constants) override;
+ experimental::MemoryRequirements workspace() const override;
+
+private:
+ enum AuxTensorIdx
+ {
+ IndirectBuffer = 0,
+ Count
+ };
+
+ std::unique_ptr<IClKernel> _indirect_conv_kernel{nullptr};
+ std::unique_ptr<IClKernel> _addr_precalculation_kernel{nullptr};
+ TensorInfo _indirect_buffer{};
+ bool _is_prepared{false};
+ experimental::MemoryRequirements _aux_mem{Count};
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_INDIRECT_CONV2D_H */