Move CPU/GPU files from Core/Runtime to the respective backend folders
Legacy structure contained two libraries core/runtime with two backends
in each.
We reduce the core/runtime libraries to a single library thus merging
the backend files
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h b/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h
new file mode 100644
index 0000000..918f8c8
--- /dev/null
+++ b/src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h
@@ -0,0 +1,157 @@
+/*
+ * Copyright (c) 2017-2021 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_GEMMLOWP_REDUCTION_KERNEL_H
+#define ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/cpu/ICpuKernel.h"
+
+namespace arm_compute
+{
+// Forward declarations
+struct GEMMLowpReductionKernelInfo;
+namespace cpu
+{
+namespace kernels
+{
+/** Kernel used to compute the row-vectors of sums of all the entries in each row of Matrix A.
+ *
+ * @note This stage is needed to handle the offset of matrix product
+ * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md
+ */
+class CpuGemmLowpMatrixAReductionKernel : public ICpuKernel
+{
+public:
+ /** Default constructor */
+ CpuGemmLowpMatrixAReductionKernel() = default;
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixAReductionKernel);
+ /** Initialise the kernel's input and output.
+ *
+ * @param[in] src Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL
+ * @param[out] dst Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32
+ * @param[in] info Kernel metadata:
+ * - k (num_mtx_a_cols) Number of matrix A columns
+ * - is_reshaped (is_interleaved4x4) True if the matrix A has been interleaved4x4
+ * - scalar Scalar value to multiply each reduced row by.
+ * - mul_byscalar True if each reduced column must be multiplied by a scalar value.
+ */
+ void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuGemmLowpMatrixAReductionKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+ const char *name() const override;
+
+private:
+ /** Execution of the reduction kernel specialized on the input type
+ *
+ * @param[in] src Input tensor
+ * @param[in] dst Output tensor
+ * @param[in] window Execution window
+ */
+ template <typename T>
+ void run_internal(const ITensor *src, ITensor *dst, const Window &window);
+
+ /** Common signature for all reduction functions
+ *
+ * @param[in] src Input tensor
+ * @param[out] dst Output tensor
+ * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
+ */
+ using CpuGemmLowpMatrixAReductionKernelPtr = void (CpuGemmLowpMatrixAReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window);
+
+ CpuGemmLowpMatrixAReductionKernelPtr _func{ nullptr };
+ int32_t _k{ 0 };
+ int32_t _scalar{ 0 };
+ bool _mul_by_scalar{ false };
+};
+
+/** Kernel used to compute the row-vectors of sums of all the entries in each column of Matrix B.
+ *
+ * @note This stage is needed to handle the offset of matrix product
+ * https://github.com/google/gemmlowp/blob/master/doc/low-precision.md
+ */
+class CpuGemmLowpMatrixBReductionKernel : public ICpuKernel
+{
+public:
+ /** Default constructor */
+ CpuGemmLowpMatrixBReductionKernel() = default;
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpMatrixBReductionKernel);
+ /** Initialise the kernel's input and output.
+ *
+ * @param[in] src Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL
+ * @param[out] dst Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32
+ * @param[in] info Kernel metadata:
+ * - k (num_mtx_b_rows) Number of matrix B rows.
+ * - is_reshaped (is_transposed1xW) True if the input tensor is transposed 1xW.
+ * - scalar Scalar value to multiply each reduced row by.
+ * - mul_byscalar True if each reduced row must be multiplied by a scalar value.
+ */
+ void configure(const ITensorInfo *src, ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * Similar to CpuGemmLowpMatrixBReductionKernel::configure()
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const GEMMLowpReductionKernelInfo &info);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+ const char *name() const override;
+
+private:
+ /** Execution of the reduction kernel specialized on the input type
+ *
+ * @param[in] src Input tensor
+ * @param[in] dst Output tensor
+ * @param[in] window Execution window
+ * @param[in] info Thread-related information
+ */
+ template <typename T>
+ void run_internal(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info);
+
+ /** Common signature for all reduction functions
+ *
+ * @param[in] src Input tensor
+ * @param[out] dst Output tensor
+ * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
+ */
+ using CpuGemmLowpMatrixBReductionKernelPtr = void (CpuGemmLowpMatrixBReductionKernel::*)(const ITensor *src, ITensor *dst, const Window &window, const ThreadInfo &info);
+
+ CpuGemmLowpMatrixBReductionKernelPtr _func{ nullptr };
+ int32_t _k{ 0 };
+ int32_t _scalar{ 0 };
+ bool _mul_by_scalar{ false };
+};
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_GEMMLOWP_REDUCTION_KERNEL_H */