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+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ * Copyright (c) 2017-2019 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_CLGEMMLOWPMATRIXMULTIPLYCOREEX_H__
+#define __ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCOREEX_H__
+
+#include "arm_compute/core/CL/kernels/CLDepthConvertLayerKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernelEx.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+
+namespace arm_compute
+{
+class IMemoryManager;
+class ICLTensor;
+
+/** Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL. This function calls the
+ * following OpenCL kernels:
+ *
+ * -# @ref CLGEMMLowpMatrixMultiplyKernel (if the parameter "reshape_b_only_on_first_run" of
+ * GEMMInfo is FALSE)
+ * -# @ref CLGEMMLowpMatrixAReductionKernel (if the offset of matrix B is not 0)
+ * -# @ref CLGEMMLowpMatrixBReductionKernel (if the offset of matrix A is not 0)
+ *
+*/
+class CLGEMMLowpMatrixMultiplyCoreEx : public IFunction
+{
+public:
+ /** Constructor */
+ CLGEMMLowpMatrixMultiplyCoreEx(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMLowpMatrixMultiplyCoreEx(const CLGEMMLowpMatrixMultiplyCoreEx &) = delete;
+ /** Default move constructor */
+ CLGEMMLowpMatrixMultiplyCoreEx(CLGEMMLowpMatrixMultiplyCoreEx &&) = default;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMLowpMatrixMultiplyCoreEx &operator=(const CLGEMMLowpMatrixMultiplyCoreEx &) = delete;
+ /** Default move assignment operator */
+ CLGEMMLowpMatrixMultiplyCoreEx &operator=(CLGEMMLowpMatrixMultiplyCoreEx &&) = default;
+ /** Initialise the kernel's inputs, output
+ *
+ * @note GEMMLowp: low precision GEMM kernel. [A * B + C]
+ * This kernel performs the following computations:
+ *
+ * -# Convert a values from QASYMM8 to int32 and add a_offset to each of them.
+ * -# Convert b values from QASYMM8 to int32 and add b_offset to each of them.
+ * -# Compute the matrix product of the resulting a * b in int32.
+ * -# Quantize to uint8 if gemm_info.gemmlowp_output_stage != NONE
+ *
+ * @param[in] a First input tensor (Matrix A). Data type supported: QASYMM8.
+ * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a
+ * @param[in] c Third input tensor (Matrix C). It can be a nullptr. Data type supported:
+ * S32
+ * @param[out] output Output tensor. Data type supported: S32 or QASYMM8 if
+ * gemm_info.gemmlowp_output_stage != NONE
+ * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped
+ * and
+ * if the reshape of matrix B should be executed only for the first run
+ */
+ void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output,
+ const GEMMInfo &gemm_info = GEMMInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * CLGEMMLowpMatrixMultiplyCoreEx
+ *
+ * @param[in] a First input tensor info (Matrix A). Data type supported: QASYMM8.
+ * @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a
+ * @param[in] c Third input tensor info (Matrix C). It can be a nullptr. Data type
+ * supported: S32
+ * @param[in] output Output tensor info. Data type supported: S32 or QASYMM8 if
+ * gemm_info.gemmlowp_output_stage != NONE
+ * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped
+ * and
+ * if the reshape of matrix B should be executed only for the first run
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c,
+ const ITensorInfo *output, const GEMMInfo &gemm_info = GEMMInfo());
+
+ // Inherited methods overridden:
+ void run() override;
+ void prepare() override;
+
+private:
+ MemoryGroup _memory_group;
+
+ // Kernels used
+ CLGEMMLowpMatrixMultiplyKernelEx _mm_midgard_kernel;
+ CLGEMMLowpMatrixAReductionKernel _mtx_a_reduction_kernel;
+ CLGEMMLowpMatrixBReductionKernel _mtx_b_reduction_kernel;
+
+ // Temporary tensors
+ CLTensor _vector_sum_col;
+ CLTensor _vector_sum_row;
+
+ int32_t _a_offset;
+ int32_t _b_offset;
+ bool _reshape_b_only_on_first_run;
+ bool _is_prepared;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCOREEX_H__ */