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66 lines
3.3 KiB
66 lines
3.3 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_LITE_NNACL_FP32_MATMUL_H_
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#define MINDSPORE_LITE_NNACL_FP32_MATMUL_H_
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#include <float.h>
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#include <string.h>
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#include "nnacl/errorcode.h"
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#include "nnacl/matmul_parameter.h"
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#include "nnacl/op_base.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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void MatMulOpt(const float *a, const float *b, float *c, const float *bias, ActType act_type, int deep, int row,
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int col, size_t stride, int out_type);
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void MatVecMul(const float *a, const float *b, float *c, const float *bias, ActType act_type, int depth, int col);
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void RowMajor2ColMajor(const float *src_ptr, float *dst_ptr, int row, int col);
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void RowMajor2Row4Major(float *src_ptr, float *dst_ptr, int row, int col);
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void RowMajor2Row8Major(float *src_ptr, float *dst_ptr, int row, int col);
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void RowMajor2Row12Major(float *src_ptr, float *dst_ptr, int row, int col);
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void RowMajor2Col4Major(float *src_ptr, float *dst_ptr, size_t row, size_t col);
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void RowMajor2Col8Major(float *src_ptr, float *dst_ptr, size_t row, size_t col);
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void RowMajor2Col12Major(float *src_ptr, float *dst_ptr, size_t row, size_t col);
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#ifdef ENABLE_ARM64
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void MatmulFloatNeon64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, size_t stride, size_t writeNhwc, size_t WriteWino);
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void MatmulFloatNeon64Opt(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, size_t stride, size_t write_mode);
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void MatVecMulFp32Neon64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col);
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#elif ENABLE_ARM32
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void MatmulFloatNeon32(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, int stride, size_t writeNhwc, size_t WriteWino);
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void MatmulFloatNeon32Opt(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, int stride, int write_mode);
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#elif ENABLE_X86_64_SSE
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void MatmulFloatSse64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, int stride, size_t writeNhwc, size_t WriteWino);
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void MatmulFloatSse64Opt(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
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int col, int stride, int write_mode);
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#endif
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#ifdef ENABLE_NNACL_INFER_SHAPE
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int MatMulInferShape(int **in_shape, int in_num, size_t *dim_size, int *out_shape, int *in_format, int *out_format,
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int *in_datatype, int *out_datatype, OpParameter *param);
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#endif
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#ifdef __cplusplus
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}
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#endif
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#endif // MINDSPORE_LITE_NNACL_FP32_MATMUL_H_
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