mindspore/tests/ut/cpp/vm/segment_runner_test.cc

/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include <algorithm>

#include "common/common_test.h"
#include "common/py_func_graph_fetcher.h"
#include "ir/manager.h"
#include "utils/log_adapter.h"
#include "ir/func_graph_cloner.h"
#include "pipeline/jit/parse/parse.h"
#include "ir/graph_utils.h"
#include "pipeline/jit/resource.h"
#include "debug/draw.h"
#include "frontend/operator/ops.h"
#include "vm/segment_runner.h"
#include "vm/transform.h"
#include "ir/tensor.h"
#include "utils/convert_utils.h"
#include "utils/convert_utils_py.h"
#include "utils/log_adapter.h"

namespace mindspore {
namespace compile {
using Tensor = tensor::Tensor;

class TestCompileSegmentRunner : public UT::Common {
 public:
  TestCompileSegmentRunner() : get_py_fun_("gtest_input.vm", true) { UT::InitPythonPath(); }

 protected:
  UT::PyFuncGraphFetcher get_py_fun_;
  VM vm_;
};

TEST_F(TestCompileSegmentRunner, test_MsVmConvert1) {
  FuncGraphPtr g = get_py_fun_("scalar_add");
  // g was managed by local variable manager in get_py_fun_ and that manager will be freed as no reference.
  // so a new manager should be declared to make get_outputs() in segment_runner.cc happy.
  std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);

  BackendPtr b = std::make_shared<Backend>("vm");
  auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
  auto segments = graph_partition->Partition(g);
  VectorRef args({1.0, 2.0});

  auto convertResult = MsVmConvert(segments[0], "");
  auto runResult = (*(convertResult.run))(args);
  ASSERT_TRUE(runResult.size() == 1 && py::cast<double>(BaseRefToPyData(runResult[0])) == 3.0);
}

TEST_F(TestCompileSegmentRunner, test_MsVmConvert2) {
  FuncGraphPtr g = get_py_fun_("scalar_mul");
  std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);

  BackendPtr b = std::make_shared<Backend>("vm");
  auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
  auto segments = graph_partition->Partition(g);
  VectorRef args({1.0, 2.0});

  auto convertResult = MsVmConvert(segments[0], "");
  auto runResult = (*(convertResult.run))(args);
  ASSERT_TRUE(runResult.size() == 1 && py::cast<double>(BaseRefToPyData(runResult[0])) == 2.0);
}

TEST_F(TestCompileSegmentRunner, test_if) {
  FuncGraphPtr g = get_py_fun_("test_if");
  std::shared_ptr<mindspore::FuncGraphManager> manager = mindspore::Manage(g);

  BackendPtr b = std::make_shared<Backend>("vm");
  auto graph_partition = std::make_shared<GraphPartition>(nonlinear_ops, b->name());
  auto segments = graph_partition->Partition(g);
  VectorRef args({1.0, 2.0});

  auto convertResult = MsVmConvert(segments[0], "");
  auto runResult = (*(convertResult.run))(args);

  auto result = py::cast<bool>(BaseRefToPyData(runResult[0]));
  ASSERT_TRUE(runResult.size() == 1 && result == false);
}

TEST_F(TestCompileSegmentRunner, test_RunOperation1) {
  VectorRef args({1});
  auto res = RunOperation(std::make_shared<PrimitivePy>(py::str(prim::kPrimIdentity->name()), py::none()), args);
  ASSERT_EQ(py::cast<int>(BaseRefToPyData(res)), 1);
}

TEST_F(TestCompileSegmentRunner, test_RunOperation2) {
  VectorRef args({1, 2});
  auto res = RunOperation(std::make_shared<PrimitivePy>(py::str(prim::kPrimScalarGt->name()), py::none()), args);
  ASSERT_EQ(py::cast<bool>(BaseRefToPyData(res)), false);
}
}  // namespace compile
}  // namespace mindspore