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+/*
+ * Copyright (c) 2022 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_ADDRESS_PRECALCULATION_KERNEL_H
+#define ARM_COMPUTE_CL_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClKernel.h"
+
+namespace arm_compute
+{
+// Forward declarations
+struct DirectConvComputeKernelInfo;
+
+namespace opencl
+{
+namespace kernels
+{
+/** Interface for the direct convolution kernel. */
+class ClIndirectConv2dAddressPrecalculationKernel : public IClKernel
+{
+public:
+ ClIndirectConv2dAddressPrecalculationKernel();
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClIndirectConv2dAddressPrecalculationKernel);
+ /** Set the src, weights, biases and dst tensors info.
+ *
+ * @note: When M0 is 5,6,7, the kernel rounds up M0 to the nearest power of two. Therefore, eight. The reason behind
+ * this implementation detail is because we can exploit native opencl stores in the kernel.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src The src tensor info to convolve. 3 lower dimensions represent a single src [IFM, width, height],
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32.
+ * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [IFM, kernel_x, kernel_y, OFM].
+ * The 1st dimension must be the same as the src's volume 1st dimension.
+ * Data type supported:Same as @p src.
+ * @param[out] dst Output tensor info where to store the precalculated offsets. Data types supported: S32.
+ * The output is a 3D tensor with the following dimensions: [M0 x Kw x Kh, ceil(M/M0), batch-size], where:
+ * Kw=Kernel width, Kh=Kernel height, M0=number of rows processed by each workitem, and M=dst_width x dst_height.
+ * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
+ * @param[in] desc Direct convolution descriptor used to build the NHWC direct/indirect convolution kernel.
+ */
+ void configure(const CLCompileContext &compile_context,
+ ITensorInfo *src,
+ ITensorInfo *weights,
+ ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const DirectConvComputeKernelInfo &desc);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to ClIndirectConv2dAddressPreCalculationKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const DirectConvComputeKernelInfo &desc);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
+};
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_INDIRECT_CONV2D_ADDRESS_PRECALCULATION_KERNEL_H */