1 /**
2 * Copyright 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/train/graph_fusion.h"
18 #include <vector>
19 #include <algorithm>
20 #include <memory>
21 #include "tools/converter/optimizer.h"
22 #include "tools/converter/legacy_optimizer/fusion/matmul_biasadd_fusion_pass.h"
23 #include "src/train/optimizer/fusion/gru_fusion_pass.h"
24 #include "src/train/optimizer/fusion/matmul_activation_fusion_pass.h"
25 #include "src/train/optimizer/fusion/reshape_gather_reshape_fusion_pass.h"
26 #include "src/train/optimizer/fusion/matmul_matmul_add_fusion_pass.h"
27 #include "tools/converter/legacy_optimizer/graph/isolated_node_remove_pass.h"
28 #include "tools/converter/legacy_optimizer/graph/subgraph_node_pass.h"
29 #include "src/train/optimizer/fusion/matmul_add_fusion_pass.h"
30 #include "src/train/optimizer/fusion/remove_redundant_tensor.h"
31
32 namespace mindspore {
33 namespace lite {
34 namespace {
GetGraphNodes(const schema::MetaGraphT & graph_defT)35 std::vector<schema::CNodeT *> GetGraphNodes(const schema::MetaGraphT &graph_defT) {
36 std::vector<schema::CNodeT *> old_nodes{};
37 old_nodes.resize(graph_defT.nodes.size());
38 std::transform(graph_defT.nodes.begin(), graph_defT.nodes.end(), old_nodes.begin(),
39 [](const std::unique_ptr<schema::CNodeT> &node) { return node.get(); });
40 return old_nodes;
41 }
42 } // namespace
Run(schema::MetaGraphT * graph)43 STATUS GraphFusion::Run(schema::MetaGraphT *graph) {
44 if (graph == nullptr) {
45 MS_LOG(ERROR) << "graph is nullptr.";
46 return RET_ERROR;
47 }
48 auto gru_fusion = std::make_shared<GruFusionPass>();
49 MS_CHECK_TRUE_MSG(gru_fusion != nullptr, RET_NULL_PTR, "Create GruFusion object failed.");
50 if (gru_fusion->Run(graph) != RET_OK) {
51 MS_LOG(ERROR) << "Do GruFusion failed.";
52 return RET_ERROR;
53 }
54 auto old_nodes = GetGraphNodes(*graph);
55 Optimizer fusion_optimizer;
56 fusion_optimizer.AddPass(new (std::nothrow) ReshapeGatherReshapeFusionPass());
57 fusion_optimizer.AddPass(new (std::nothrow) MatMulAddFusionPass());
58 fusion_optimizer.AddPass(new (std::nothrow) MatMulBiasAddFusionPass());
59 fusion_optimizer.AddPass(new (std::nothrow) MatMulActivationFusionPass());
60 fusion_optimizer.AddPass(new (std::nothrow) MatMulMatMulAddFusionPass());
61 fusion_optimizer.AddPass(new (std::nothrow) IsolatedNodeRemovePass());
62 fusion_optimizer.AddPass(new (std::nothrow) SubgraphNodePass(old_nodes));
63 auto status = fusion_optimizer.Run(graph);
64 if (status != RET_OK && status != RET_NO_CHANGE) {
65 MS_LOG(ERROR) << "graph fusion failed.";
66 return RET_ERROR;
67 }
68 auto opt_tensor = new (std::nothrow) RemoveRedundantTensor();
69 MS_CHECK_TRUE_MSG(opt_tensor != nullptr, RET_NULL_PTR, "Create RemoveRedundantTensor failed.");
70 if (opt_tensor->Run(graph) != RET_OK) {
71 MS_LOG(ERROR) << "Do RemoveRedundantTensor failed.";
72 return RET_ERROR;
73 }
74 return RET_OK;
75 }
76 } // namespace lite
77 } // namespace mindspore
78