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+/*
+ * Copyright (c) 2021 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_CPU_ELEMENTWISE_H
+#define ARM_COMPUTE_CPU_ELEMENTWISE_H
+
+#include "src/cpu/ICpuOperator.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+class CpuElementwiseBase : public ICpuOperator
+{
+public:
+ // Inherited methods overridden:
+ void run(ITensorPack &tensors) override;
+};
+/** Class to run @ref cpu::kernels::CpuArithmeticKernel except for division and power
+ *
+ * @note Max/Min/Squared difference supports input data type of QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32
+ * @note PRelu supports inpute data type of QASYMM8/QASYMM8_SIGNED/F16/F32.
+ */
+template <ArithmeticOperation op>
+class CpuElementwiseArithmetic : public CpuElementwiseBase
+{
+public:
+ /** Configure the operator
+ *
+ * @param[in] src0 The first source tensor information.
+ * @param[in] src1 The second source tensor information. With PRelu, this is used as alpha tensor.
+ * @param[out] dst The output tensor information.
+ */
+ void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuElementwiseArithmetic::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+};
+
+/** Class to run @ref cpu::kernels::CpuArithmeticKernel except for maximum operation */
+using CpuElementwiseMax = CpuElementwiseArithmetic<ArithmeticOperation::MAX>;
+/** Class to run @ref cpu::kernels::CpuArithmeticKernel except for minimum operation */
+using CpuElementwiseMin = CpuElementwiseArithmetic<ArithmeticOperation::MIN>;
+/** Class to run @ref cpu::kernels::CpuArithmeticKernel except for squared difference operation */
+using CpuElementwiseSquaredDiff = CpuElementwiseArithmetic<ArithmeticOperation::SQUARED_DIFF>;
+
+/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for division
+ *
+ * @note The tensor data type for the inputs must be S32/F16/F32.
+ * @note The function performs a division operation between two tensors (i.e., out[i] = in1[i] / in2[i])
+ */
+class CpuElementwiseDivision : public CpuElementwiseBase
+{
+public:
+ /** Initialise the kernel's inputs, dst and conversion policy.
+ *
+ * @param[in, out] src0 First tensor input info. Data types supported: S32/F16/F32.
+ * @param[in, out] src1 Second tensor input info. Data types supported: Same as @p src0.
+ * @param[out] dst Output tensor info. Data types supported: Same as @p src0.
+ */
+ void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuElementwiseDivision::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+};
+
+/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for power
+ *
+ * @note The tensor data type for the inputs must be F16/F32.
+ * @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
+ * @note For an exponent that is a float, this function will only work with a positive base.
+ */
+class CpuElementwisePower : public CpuElementwiseBase
+{
+public:
+ /** Initialise the kernel's inputs, dst and conversion policy.
+ *
+ * @param[in, out] src0 First tensor input info. Data types supported: F16/F32.
+ * @param[in, out] src1 Second tensor input info. Data types supported: Same as @p src0.
+ * @param[out] dst Output tensor info. Data types supported: Same as @p src0.
+ */
+ void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuElementwisePower::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+};
+
+/** Basic function to run @ref cpu::kernels::CpuComparisonKernel.
+ *
+ * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @note The function performs a comparison operation between two tensors.
+ */
+class CpuElementwiseComparison : public CpuElementwiseBase
+{
+public:
+ /** Initialise the kernel's inputs, dst and conversion policy.
+ *
+ * @param[in, out] src0 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in, out] src1 Second tensor input info. Data types supported: Same as @p src0.
+ * @param[out] dst Output tensor info. Data types supported: U16/U32.
+ * @param[in] op Comparison Operation to be performed.
+ */
+ void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst, ComparisonOperation op);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuElementwiseComparison::configure()
+ *
+ * @return a status
+ */
+ static Status
+ validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst, ComparisonOperation op);
+};
+
+/** Basic function to run @ref cpu::kernels::CpuComparisonKernel
+ *
+ * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @note The function performs a comparison operation between two tensors.
+ */
+template <ComparisonOperation op>
+class CpuElementwiseComparisonStatic : public CpuElementwiseBase
+{
+public:
+ /** Initialise the kernel's inputs, dst and conversion policy.
+ *
+ * @param[in, out] src0 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in, out] src1 Second tensor input info. Data types supported: Same as @p src0.
+ * @param[out] dst Output tensor info. Data types supported: U16/U32.
+ */
+ void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to @ref CpuElementwiseComparisonStatic::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+};
+
+/** Basic function to run equal comparison. */
+using NEEqual = CpuElementwiseComparisonStatic<ComparisonOperation::Equal>;
+/** Basic function to run not equal comparison. */
+using NENotEqual = CpuElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
+/** Basic function to run greater comparison. */
+using NEGreater = CpuElementwiseComparisonStatic<ComparisonOperation::Greater>;
+/** Basic function to run greater-equal comparison. */
+using NEGreaterEqual = CpuElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
+/** Basic function to run less comparison. */
+using NELess = CpuElementwiseComparisonStatic<ComparisonOperation::Less>;
+/** Basic function to run less-equal comparison. */
+using NELessEqual = CpuElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
+} // namespace cpu
+} // namespace arm_compute
+
+#endif /* ARM_COMPUTE_CPU_ELEMENTWISE_H */