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108 lines
3.9 KiB
108 lines
3.9 KiB
/**
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* Copyright 2020 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 <algorithm>
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#include "common/common_test.h"
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#include "common/py_func_graph_fetcher.h"
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#include "ir/manager.h"
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#include "utils/log_adapter.h"
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#include "ir/func_graph_cloner.h"
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#include "pipeline/jit/parse/parse.h"
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#include "ir/graph_utils.h"
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#include "pipeline/jit/resource.h"
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#include "debug/draw.h"
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#include "frontend/operator/ops.h"
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#include "vm/segment_runner.h"
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#include "vm/transform.h"
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#include "ir/tensor.h"
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#include "utils/convert_utils.h"
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#include "utils/convert_utils_py.h"
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#include "utils/log_adapter.h"
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#include "base/core_ops.h"
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namespace mindspore {
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namespace compile {
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using Tensor = tensor::Tensor;
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class TestCompileSegmentRunner : public UT::Common {
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public:
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TestCompileSegmentRunner() : get_py_fun_("gtest_input.vm", true) { UT::InitPythonPath(); }
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protected:
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UT::PyFuncGraphFetcher get_py_fun_;
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VM vm_;
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};
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TEST_F(TestCompileSegmentRunner, test_MsVmConvert1) {
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FuncGraphPtr g = get_py_fun_(prim::kScalarAdd);
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// g was managed by local variable manager in get_py_fun_ and that manager will be freed as no reference.
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// so a new manager should be declared to make get_outputs() in segment_runner.cc happy.
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std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);
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BackendPtr b = std::make_shared<Backend>("vm");
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auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
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auto segments = graph_partition->Partition(g);
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VectorRef args({1.0, 2.0});
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auto convertResult = MsVmConvert(segments[0], "");
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auto runResult = (*(convertResult.run))(args);
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ASSERT_TRUE(runResult.size() == 1 && py::cast<double>(BaseRefToPyData(runResult[0])) == 3.0);
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}
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TEST_F(TestCompileSegmentRunner, test_MsVmConvert2) {
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FuncGraphPtr g = get_py_fun_(prim::kScalarMul);
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std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);
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BackendPtr b = std::make_shared<Backend>("vm");
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auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
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auto segments = graph_partition->Partition(g);
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VectorRef args({1.0, 2.0});
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auto convertResult = MsVmConvert(segments[0], "");
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auto runResult = (*(convertResult.run))(args);
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ASSERT_TRUE(runResult.size() == 1 && py::cast<double>(BaseRefToPyData(runResult[0])) == 2.0);
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}
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TEST_F(TestCompileSegmentRunner, test_if) {
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FuncGraphPtr g = get_py_fun_("test_if");
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std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);
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BackendPtr b = std::make_shared<Backend>("vm");
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auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
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auto segments = graph_partition->Partition(g);
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VectorRef args({1.0, 2.0});
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auto convertResult = MsVmConvert(segments[0], "");
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auto runResult = (*(convertResult.run))(args);
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auto result = py::cast<bool>(BaseRefToPyData(runResult[0]));
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ASSERT_TRUE(runResult.size() == 1 && result == false);
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}
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TEST_F(TestCompileSegmentRunner, test_RunOperation1) {
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VectorRef args({1});
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auto res = RunOperation(std::make_shared<PrimitivePy>(py::str(prim::kPrimIdentity->name()), py::none()), args);
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ASSERT_EQ(py::cast<int>(BaseRefToPyData(res)), 1);
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}
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TEST_F(TestCompileSegmentRunner, test_RunOperation2) {
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VectorRef args({1, 2});
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auto res = RunOperation(std::make_shared<PrimitivePy>(py::str(prim::kPrimScalarGt->name()), py::none()), args);
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ASSERT_EQ(py::cast<bool>(BaseRefToPyData(res)), false);
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}
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} // namespace compile
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} // namespace mindspore
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