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 #include "src/runtime/kernel/arm/fp32/matmul_fp32.h"
18 #include "include/errorcode.h"
19 #include "nnacl/fp32/matmul_fp32.h"
20 #include "src/kernel_registry.h"
21
22 using mindspore::lite::KernelRegistrar;
23 using mindspore::lite::RET_ERROR;
24 using mindspore::lite::RET_OK;
25 using mindspore::schema::PrimitiveType_MatMulFusion;
26
27 namespace mindspore::kernel {
InitShapeA()28 void MatmulCPUKernel::InitShapeA() {
29 auto a_shape = in_tensors_[kInputIndex]->shape();
30 int batch = 1;
31 MS_CHECK_TRUE_RET_VOID(a_shape.size() >= 2);
32 for (size_t i = 0; i < a_shape.size() - 2; ++i) {
33 batch *= a_shape[i];
34 }
35 params_->batch = batch;
36 params_->row_ = params_->a_transpose_ ? a_shape[a_shape.size() - 1] : a_shape[a_shape.size() - 2];
37 params_->deep_ = params_->a_transpose_ ? a_shape[a_shape.size() - 2] : a_shape[a_shape.size() - 1];
38 }
39
InitShapeB()40 void MatmulCPUKernel::InitShapeB() {
41 auto b_shape = in_tensors_[kWeightIndex]->shape();
42 int batch = 1;
43 MS_CHECK_TRUE_RET_VOID(b_shape.size() >= 2);
44 for (size_t i = 0; i < b_shape.size() - 2; ++i) {
45 batch *= b_shape[i];
46 }
47 params_->batch = batch;
48 params_->col_ = params_->b_transpose_ ? b_shape[b_shape.size() - 2] : b_shape[b_shape.size() - 1];
49 params_->deep_ = params_->b_transpose_ ? b_shape[b_shape.size() - 1] : b_shape[b_shape.size() - 2];
50 }
51
Init()52 int MatmulCPUKernel::Init() {
53 CHECK_LESS_RETURN(in_tensors_.size(), C2NUM);
54 CHECK_LESS_RETURN(out_tensors_.size(), 1);
55 MatmulFp32BaseCPUKernel::InitParameter();
56
57 if (params_->a_const_ == true) {
58 InitShapeA();
59 }
60
61 if (params_->b_const_ == true) {
62 InitShapeB();
63 }
64
65 auto ret = MatmulFp32BaseCPUKernel::Init();
66 if (ret != RET_OK) {
67 return ret;
68 }
69
70 if (!InferShapeDone()) {
71 return RET_OK;
72 }
73 return ReSize();
74 }
75
ReSize()76 int MatmulCPUKernel::ReSize() {
77 InitShapeA();
78 InitShapeB();
79
80 return MatmulFp32BaseCPUKernel::ReSize();
81 }
82
Run()83 int MatmulCPUKernel::Run() {
84 auto ret = MatmulFp32BaseCPUKernel::Run();
85 if (ret != RET_OK) {
86 MS_LOG(ERROR) << "MatmulFp32BaseCPUKernel failed!";
87 }
88 return ret;
89 }
90
91 REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_MatMulFusion, LiteKernelCreator<MatmulCPUKernel>)
92 } // namespace mindspore::kernel
93