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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_CLGEMMLOWPMATRIXMULTIPLYKERNELEX_H__
+#define __ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNELEX_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** OpenCL kernel to multiply matrices
+ *
+ * @note This kernel should be used ONLY for Midgard architectures
+ *
+ * This kernel performs the following computation:
+ *
+ * -# Convert a values from int8 to int32
+ * -# Convert b values from int8 to int32
+ * -# Compute the int32 matrix product of the resulting a * b and store the result as int32
+ *
+ */
+class CLGEMMLowpMatrixMultiplyKernelEx : public ICLKernel
+{
+public:
+ /** Default Constructor */
+ CLGEMMLowpMatrixMultiplyKernelEx();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMLowpMatrixMultiplyKernelEx(const CLGEMMLowpMatrixMultiplyKernelEx &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLGEMMLowpMatrixMultiplyKernelEx &operator=(const CLGEMMLowpMatrixMultiplyKernelEx &) = delete;
+ /** Allow instances of this class to be moved */
+ CLGEMMLowpMatrixMultiplyKernelEx(CLGEMMLowpMatrixMultiplyKernelEx &&) = default;
+ /** Allow instances of this class to be moved */
+ CLGEMMLowpMatrixMultiplyKernelEx &operator=(CLGEMMLowpMatrixMultiplyKernelEx &&) = default;
+ /** Initialise the kernel's input and output.
+ *
+ * @note This kernel should be used ONLY for Midgard architectures
+ *
+ * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8
+ * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p
+ * input0
+ * @param[out] output Output tensor to store the result of matrix multiplication. Data type
+ * supported: S32
+ * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of
+ * the input matrices
+ */
+ void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output,
+ const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * CLGEMMLowpMatrixMultiplyKernelEx
+ *
+ * @param[in] input0 Input tensor containing the LHS matrix. Data type supported: QASYMM8
+ * @param[in] input1 Input tensor containing the RHS matrix. Data type supported: same as @p
+ * input0
+ * @param[in] output Output tensor to store the result of matrix multiplication. Data type
+ * supported: S32
+ * @param[in] gemm_info (Optional) GEMM information used to retrieve the original dimensions of
+ * the input matrices
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input0, const ITensorInfo *input1,
+ const ITensorInfo *output,
+ const GEMMReshapeInfo &gemm_info = GEMMReshapeInfo());
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input0;
+ const ICLTensor *_input1;
+ ICLTensor *_output;
+ bool _slide_matrix_b;
+ bool _reinterpret_input_as_3d;
+ bool _reinterpret_output_as_3d;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNELEX_H__*/