forked from mindspore-Ecosystem/mindspore
108 lines
4.0 KiB
C++
108 lines
4.0 KiB
C++
/**
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* Copyright 2022 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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#include "common/common_test.h"
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#include "mindspore/core/ops/core_ops.h"
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#define private public
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#include "frontend/parallel/graph_util/graph_splitter.h"
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namespace mindspore {
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namespace parallel {
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using namespace abstract;
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class GraphSplitterTest : public UT::Common {
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public:
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GraphSplitterTest() = default;
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virtual ~GraphSplitterTest() = default;
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void SetUp() {
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func_graph_ = std::make_shared<FuncGraph>();
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MS_EXCEPTION_IF_NULL(func_graph_);
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splitter_ = std::make_shared<GraphSplitter>(func_graph_, 0, "MS_WORKER");
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MS_EXCEPTION_IF_NULL(splitter_);
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}
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void TearDown() {}
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AbstractBasePtr CreateAbs();
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FuncGraphPtr func_graph_{nullptr};
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std::shared_ptr<GraphSplitter> splitter_{nullptr};
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};
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AbstractBasePtr GraphSplitterTest::CreateAbs() {
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ShapeVector shp = {3, 3};
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auto ele = std::make_shared<AbstractScalar>(kAnyValue, kFloat64);
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MS_EXCEPTION_IF_NULL(ele);
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auto abs = std::make_shared<AbstractTensor>(ele, std::make_shared<Shape>(shp));
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MS_EXCEPTION_IF_NULL(abs);
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return abs;
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}
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/// Feature: Distributed runtime.
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/// Description: Test whether a value node is created from a real node.
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/// Expectation: A value node is created, with the shape the same as the origin node.
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TEST_F(GraphSplitterTest, TestCreateFakeValueNode) {
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std::vector<AnfNodePtr> inputs{NewValueNode(prim::kPrimAdd)};
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auto origin_node = func_graph_->NewCNode(inputs);
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MS_EXCEPTION_IF_NULL(origin_node);
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origin_node->set_abstract(CreateAbs());
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ShapeVector shp = {3, 3};
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auto fake_value_node1 = CreateFakeValueNode(true, origin_node, false);
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ASSERT_EQ(fake_value_node1->abstract()->cast<abstract::AbstractTensorPtr>()->shape()->shape(), shp);
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shp = {1};
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auto fake_value_node2 = CreateFakeValueNode(true, origin_node, true);
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ASSERT_EQ(fake_value_node2->abstract()->cast<abstract::AbstractTensorPtr>()->shape()->shape(), shp);
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}
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/// Feature: Distributed runtime.
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/// Description: Test generating inter-process communication edges for a node with inputs from other processes.
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/// Expectation: Edges are successfully created with correct peer nodes.
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TEST_F(GraphSplitterTest, TestGenerateInterProcessOpsForNodeInputs) {
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std::vector<AnfNodePtr> input1_node_inputs{NewValueNode(prim::kPrimMatMul)};
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auto input1 = func_graph_->NewCNode(input1_node_inputs);
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MS_EXCEPTION_IF_NULL(input1);
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input1->set_abstract(CreateAbs());
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splitter_->node_labels_[input1].rank_id = 1;
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splitter_->node_labels_[input1].ms_role = "MS_SERVER";
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std::vector<AnfNodePtr> input2_node_inputs{NewValueNode(prim::kPrimMatMul)};
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auto input2 = func_graph_->NewCNode(input2_node_inputs);
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MS_EXCEPTION_IF_NULL(input2);
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input2->set_abstract(CreateAbs());
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splitter_->node_labels_[input2].rank_id = 2;
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splitter_->node_labels_[input2].ms_role = "MS_PSERVER";
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std::vector<AnfNodePtr> inputs{NewValueNode(prim::kPrimAdd), input1, input2};
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auto split_node = func_graph_->NewCNode(inputs);
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MS_EXCEPTION_IF_NULL(split_node);
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splitter_->node_labels_[split_node].rank_id = 0;
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splitter_->node_labels_[split_node].ms_role = "MS_WORKER";
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auto comm_edges = splitter_->GenerateInterProcessOpsForNodeInputs(split_node);
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ASSERT_EQ(comm_edges.size(), 2);
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const auto &edge1 = comm_edges.begin()->first;
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std::string expected_edge =
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input1->fullname_with_scope() + "_1_MS_SERVER" + "->" + split_node->fullname_with_scope() + "_0_MS_WORKER";
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ASSERT_EQ(edge1.to_string(), expected_edge);
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}
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} // namespace parallel
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} // namespace mindspore
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