1 /**
2 * Copyright 2020-2021 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/executor/kernel_exec.h"
18 #include <algorithm>
19 #include "src/tensor.h"
20 #include "src/common/utils.h"
21 #include "src/common/version_manager.h"
22
23 namespace mindspore::kernel {
24 using mindspore::lite::RET_ERROR;
25 using mindspore::lite::RET_OK;
26
IsReady(const std::vector<lite::Tensor * > & scope_tensors)27 bool KernelExec::IsReady(const std::vector<lite::Tensor *> &scope_tensors) {
28 MS_ASSERT(kernel_ != nullptr);
29 auto &in_tensors = this->in_tensors();
30 return std::all_of(in_tensors.begin(), in_tensors.end(), [&](lite::Tensor *in_tensor) {
31 if (IsContain(scope_tensors, in_tensor)) {
32 return in_tensor->IsReady();
33 } else {
34 return true;
35 }
36 });
37 }
38
InitOutTensorInitRefCount(const std::vector<KernelExec * > * mask_kernels)39 void KernelExec::InitOutTensorInitRefCount(const std::vector<KernelExec *> *mask_kernels) {
40 for (auto *tensor : this->out_tensors()) {
41 MS_ASSERT(tensor != nullptr);
42 int init_ref_count = tensor->IsGraphOutput() ? 1 : 0; // persistent graph output
43 for (auto *post_kernel : this->out_kernels_) {
44 if ((mask_kernels == nullptr) ||
45 std::find(mask_kernels->begin(), mask_kernels->end(), post_kernel) != mask_kernels->end()) {
46 auto &post_in_tensors = post_kernel->in_tensors();
47 init_ref_count += std::count_if(
48 post_in_tensors.begin(), post_in_tensors.end(),
49 [&tensor](const lite::Tensor *post_kernel_in_tensor) { return post_kernel_in_tensor == tensor; });
50 }
51 }
52 tensor->set_init_ref_count(init_ref_count);
53 }
54 }
55
ToString() const56 std::string KernelExec::ToString() const {
57 std::ostringstream oss;
58 oss << "KernelExec: " << this->name();
59 oss << ", Type: " << this->type() << std::endl;
60 oss << this->in_tensors().size() << " InputTensors:" << std::endl;
61 for (auto tensor : in_tensors()) {
62 oss << tensor->ToString() << std::endl;
63 }
64 oss << this->out_tensors().size() << " OutputTensors:" << std::endl;
65 for (auto tensor : out_tensors()) {
66 oss << tensor->ToString() << std::endl;
67 }
68 oss << this->in_kernels_.size() << " InputKernels: ";
69 for (auto in_kernel : in_kernels_) {
70 oss << in_kernel->name() << ", ";
71 }
72 oss << std::endl << this->out_kernels_.size() << " OutputKernels: ";
73 for (auto out_kernel : out_kernels_) {
74 oss << out_kernel->name() << ", ";
75 }
76 return oss.str();
77 }
78
DoExecute()79 int KernelExec::DoExecute() {
80 auto ret = kernel_->Execute();
81 if ((ret == lite::RET_OK) && (desc_.provider != kBuiltin)) {
82 for (auto *output : out_tensors()) {
83 MS_ASSERT(output != nullptr);
84 output->ResetRefCount();
85 }
86 for (auto &in_tensor : in_tensors()) {
87 MS_ASSERT(in_tensor != nullptr);
88 in_tensor->DecRefCount();
89 }
90 }
91 return ret;
92 }
93 } // namespace mindspore::kernel
94