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1 /**
2  * Copyright 2020 Huawei Technologies Co., Ltd
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  * http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #ifndef MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_MATMUL_FP32_BASE_H_
18 #define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_MATMUL_FP32_BASE_H_
19 
20 #include <vector>
21 #include "src/inner_kernel.h"
22 #include "nnacl/matmul_parameter.h"
23 #include "include/errorcode.h"
24 
25 using mindspore::lite::RET_ERROR;
26 using mindspore::lite::RET_MEMORY_FAILED;
27 using mindspore::lite::RET_OK;
28 
29 namespace mindspore::kernel {
30 using MatrixPackFun = void (*)(const float *src_ptr, float *dst_ptr, int row, int col);
31 class MatmulFp32BaseCPUKernel : public InnerKernel {
32  public:
MatmulFp32BaseCPUKernel(OpParameter * parameter,const std::vector<lite::Tensor * > & inputs,const std::vector<lite::Tensor * > & outputs,const mindspore::lite::InnerContext * ctx)33   MatmulFp32BaseCPUKernel(OpParameter *parameter, const std::vector<lite::Tensor *> &inputs,
34                           const std::vector<lite::Tensor *> &outputs, const mindspore::lite::InnerContext *ctx)
35       : InnerKernel(parameter, inputs, outputs, ctx) {
36     params_ = reinterpret_cast<MatMulParameter *>(op_parameter_);
37     vec_matmul_ = false;
38   }
39   ~MatmulFp32BaseCPUKernel() override;
40   int Init() override;
41   int ReSize() override;
42   int Run() override;
43 
44  public:
45   int FloatRun(int task_id) const;
46 
47  protected:
48   int InitBufferA();
49   int InitBufferB();
50   int InitMatrixA(const float *src_ptr);
51   int InitMatrixB(const float *src_ptr);
52   void FreeBiasBuf();
53   int InitBiasData();
54   void InitParameter();
55   void init_global_variable();
56 
57  private:
58   void ResizeParameter();
59   void FreeResizeBufA();
60   void FreeResizeBufB();
61   void FreeBuffSrcB();
62   int CalBroadCastBiasDataElements();
63   int InitTmpOutBuffer();
64 
65  protected:
66   MatMulParameter *params_ = nullptr;
67   float *a_pack_ptr_ = nullptr;
68   float *b_pack_ptr_ = nullptr;
69 
70  private:
71   int col_tile_ = 0;
72   int row_tile_ = 0;
73   int oc_res_ = 0;
74   int thread_stride_ = 0;
75   int thread_count_ = 0;
76   bool vec_matmul_ = false;
77   float *bias_ptr_ = nullptr;
78   float *batch_a_ptr_ = nullptr;
79   float *batch_b_ptr_ = nullptr;
80   float *batch_c_ptr_ = nullptr;
81   float *output_data_ = nullptr;
82   int matrix_a_pack_size_ = -1;
83   int matrix_b_pack_size_ = -1;
84   float *src_b_ = nullptr;
85   MatrixPackFun matrix_a_pack_fun_ = nullptr;
86   MatrixPackFun matrix_b_pack_fun_ = nullptr;
87 };
88 }  // namespace mindspore::kernel
89 #endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_MATMUL_FP32_BASE_H_
90