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+/*
+ * Copyright (c) 2021, 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_ELEMENTWISE_OPERATIONS_H
+#define ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H
+
+#include "arm_compute/function_info/ActivationLayerInfo.h"
+
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClOperator.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for division
+ *
+ * @note The tensor data type for the inputs must be F16/F32.
+ * @note The function performs an arithmetic division between two tensors.
+ */
+class ClElementwiseDivision : public IClOperator
+{
+public:
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClElementwiseDivision::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for max
+ *
+ * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
+ * @note The function performs a max operation between two tensors.
+ */
+class ClElementwiseMax : public IClOperator
+{
+public:
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClElementwiseMax::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for min
+ *
+ * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
+ * @note The function performs a max operation between two tensors.
+ */
+class ClElementwiseMin : public IClOperator
+{
+public:
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClElementwiseMin::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for squared difference
+ *
+ * @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32.
+ * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
+ */
+class ClElementwiseSquaredDiff : public IClOperator
+{
+public:
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClElementwiseSquaredDiff::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for power
+ *
+ * @note The tensor data type for the inputs must be F16/F32.
+ * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
+ */
+class ClElementwisePower : public IClOperator
+{
+public:
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported:F16/F32.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context,
+ ITensorInfo *src1,
+ ITensorInfo *src2,
+ ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref ClElementwisePower::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H */