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+/*
+ * Copyright (c) 2019-2023 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_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H
+#define ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H
+
+#include "arm_compute/core/KernelDescriptors.h"
+#include "arm_compute/function_info/ConvolutionInfo.h"
+
+#include "src/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the kernel to run a MxN depthwise convolution. M and N are respectively the rows and columns of the filter
+ This kernel assumes that tensor for the weights is NOT reshaped (Native version) */
+class CLDepthwiseConvolutionLayerNativeKernel : public ICLKernel
+{
+public:
+ /** Default Constructor */
+ CLDepthwiseConvolutionLayerNativeKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLDepthwiseConvolutionLayerNativeKernel(const CLDepthwiseConvolutionLayerNativeKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLDepthwiseConvolutionLayerNativeKernel &operator=(const CLDepthwiseConvolutionLayerNativeKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ CLDepthwiseConvolutionLayerNativeKernel(CLDepthwiseConvolutionLayerNativeKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ CLDepthwiseConvolutionLayerNativeKernel &operator=(CLDepthwiseConvolutionLayerNativeKernel &&) = default;
+
+ /** Initialize the function's source, destination and parameters
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC
+ * @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M].
+ * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8.
+ * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
+ * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED.
+ * @param[out] output Destination tensor. Pass in nullptr or @p input for in-place operation. Data type supported: Same as @p input.
+ * @param[in] dwc_info Depthwise convolution layer info
+ * @param[in] conv_info Convolution info (padding, stride, dilation, ...)
+ * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization,
+ * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32
+ * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization,
+ * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32
+ *
+ * @note: In-place is only supported when
+ * * data layout: NHWC
+ * * filter: 1x1
+ * * @p depth_multiplier: 1
+ * * strides: 1
+ * * dilation: 1
+ * * no padding
+ * * no change of data layout after configure
+ */
+ void configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ const ICLTensor *weights,
+ const ICLTensor *biases,
+ ICLTensor *output,
+ const DWCComputeKernelInfo &dwc_info,
+ const ConvolutionInfo &conv_info,
+ const ICLTensor *output_multipliers = nullptr,
+ const ICLTensor *output_shifts = nullptr);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel
+ *
+ * Similar to @ref CLDepthwiseConvolutionLayerNativeKernel::configure()
+ */
+ void configure(ICLTensor *input,
+ const ICLTensor *weights,
+ const ICLTensor *biases,
+ ICLTensor *output,
+ const DWCComputeKernelInfo &dwc_info,
+ const ConvolutionInfo &conv_info,
+ const ICLTensor *output_multipliers = nullptr,
+ const ICLTensor *output_shifts = nullptr);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel
+ *
+ * Similar to @ref CLDepthwiseConvolutionLayerNativeKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const DWCComputeKernelInfo &dwc_info,
+ const ConvolutionInfo &conv_info,
+ const ITensorInfo *output_multipliers = nullptr,
+ const ITensorInfo *output_shifts = nullptr);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input{};
+ const ICLTensor *_weights{};
+ const ICLTensor *_biases{};
+ ICLTensor *_output{};
+ unsigned int _depth_multiplier{0};
+ const ICLTensor *_output_multipliers{};
+ const ICLTensor *_output_shifts{};
+ bool _export_input_to_cl_image{false};
+ bool _export_weights_to_cl_image{true};
+ bool _is_quantized{false};
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H */