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+/*
+ * Copyright (c) 2021-2022 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_CPU_ELEMENTWISE_KERNEL_H
+#define ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/cpu/ICpuKernel.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+/** Interface for an element-wise operation kernel
+ *
+ * Element-wise operation is computed by:
+ * @f[ dst(x,y) = OP(src0(x,y), src1(x,y))@f]
+ *
+ */
+template <class Derived>
+class CpuElementwiseKernel : public ICpuKernel<Derived>
+{
+private:
+ using ElementwiseKernelPtr =
+ std::add_pointer<void(const ITensor *, const ITensor *, ITensor *, const Window &)>::type;
+
+public:
+ CpuElementwiseKernel() = default;
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuElementwiseKernel);
+
+ using ElementwiseFunction = void(const ITensor *, const ITensor *, ITensor *, const Window &);
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+
+ const char *name() const override;
+
+ struct ElementwiseKernel
+ {
+ const char *name;
+ const ElementwiseDataTypeISASelectorPtr is_selected;
+ ElementwiseKernelPtr ukernel;
+ };
+
+protected:
+ /** Validate the argument passed to the kernel
+ *
+ * @param[in] src0 First tensor input. Data types supported: QASYMM8/S16/F16/S32/F32.
+ * @param[in] src1 Second tensor input. Data types supported: Same as @p src0.
+ * @param[in] dst Output tensor. Data types supported: Dependent on subclass.
+ */
+ static Status validate_arguments_common(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
+
+protected:
+ ElementwiseKernelPtr _run_method{nullptr};
+ std::string _name{};
+};
+
+class CpuArithmeticKernel : public CpuElementwiseKernel<CpuArithmeticKernel>
+{
+public:
+ CpuArithmeticKernel() = default;
+
+ /** Configure kernel
+ *
+ * @param[in] op Arithmetic operation to be executed.
+ * @param[in] src0 First tensor input info. Data types supported: QASYMM8/S16/F16/S32/F32.
+ * @param[in] 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(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuArithmeticKernel::configure()
+ *
+ * @return a status
+ */
+ static Status
+ validate(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+
+ static const std::vector<CpuElementwiseKernel<CpuArithmeticKernel>::ElementwiseKernel> &get_available_kernels();
+
+ /** Return minimum workload size of the relevant kernel
+ *
+ * @param[in] platform The CPU platform used to create the context.
+ * @param[in] thread_count Number of threads in the execution.
+ *
+ * @return[out] mws Minimum workload size for requested configuration.
+ */
+ size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
+
+protected:
+ /** Commmon configure function for element-wise operators with no additional options (e.g. Min, Max, SquaredDiff)
+ */
+ void configure_common(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ // Inherited methods overridden:
+ static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
+
+ ArithmeticOperation _op{};
+};
+
+class CpuDivisionKernel : public CpuArithmeticKernel
+{
+public:
+ CpuDivisionKernel() = default;
+
+ /** Configure kernel
+ *
+ * @param[in] src0 First tensor input info. Data types supported: S32/F16/F32.
+ * @param[in] 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 CpuDivisionKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+
+ /** Return minimum workload size of the relevant kernel
+ *
+ * @param[in] platform The CPU platform used to create the context.
+ * @param[in] thread_count Number of threads in the execution.
+ *
+ * @return[out] mws Minimum workload size for requested configuration.
+ */
+ size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
+
+protected:
+ // Inherited methods overridden:
+ static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
+};
+
+class CpuPowerKernel : public CpuArithmeticKernel
+{
+public:
+ CpuPowerKernel() = default;
+
+ /** Configure kernel
+ *
+ * @param[in] src0 First tensor input info. Data types supported: F16/F32.
+ * @param[in] 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 CpuPowerKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+
+protected:
+ // Inherited methods overridden:
+ static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
+};
+
+class CpuComparisonKernel : public CpuElementwiseKernel<CpuComparisonKernel>
+{
+public:
+ CpuComparisonKernel() = default;
+
+ /** Configure kernel
+ *
+ * @param[in] op Comparison operation to be executed.
+ * @param[in] src0 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
+ * @param[in] src1 Second tensor input info. Data types supported: Same as @p src0.
+ * @param[out] dst Output tensor info. Data types supported: U8.
+ */
+ void configure(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuComparisonKernel::configure()
+ *
+ * @return a status
+ */
+ static Status
+ validate(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
+
+ static const std::vector<CpuElementwiseKernel<CpuComparisonKernel>::ElementwiseKernel> &get_available_kernels();
+
+protected:
+ /** Commmon configure function for element-wise operators with no additional options (e.g. Min, Max, SquaredDiff)
+ */
+ void configure_common(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
+ // Inherited methods overridden:
+ static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
+
+private:
+ /** Function to get the micro kernel implementation
+ *
+ * @param[in] src0 First input tensor information
+ * @param[in] src1 Second input tensor information
+ * @param[in] dst Output tensor information
+ *
+ * @return the function instance for the micro kernel
+ */
+
+ ComparisonOperation _op{};
+};
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H */
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-03 22:58:57 +0000