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102 lines
4.1 KiB
102 lines
4.1 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 <map>
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#include <string>
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#include "pybind11/pybind11.h"
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#include "utils/callbacks.h"
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#include "common/common_test.h"
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#include "pipeline/jit/pipeline.h"
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#include "pipeline/jit/parse/python_adapter.h"
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#include "transform/graph_ir/df_graph_manager.h"
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#include "debug/draw.h"
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#ifdef ENABLE_GE
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#include "utils/callbacks_ge.h"
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#endif
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namespace mindspore {
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namespace python_adapter = mindspore::parse::python_adapter;
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class TestCallback : public UT::Common {
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public:
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TestCallback() {}
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};
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/*
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* # ut and python static info not share
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TEST_F(TestCallback, test_get_anf_tensor_shape) {
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py::object obj = python_adapter::CallPyFn("gtest_input.pipeline.parse.parse_class", "test_get_object_graph");
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FuncGraphPtr func_graph = pipeline::ExecutorPy::GetInstance()->GetFuncGraphPy(obj);
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transform::DfGraphManager::GetInstance().SetAnfGraph(func_graph);
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std::shared_ptr<std::vector<int64_t>> param_shape_ptr = std::make_shared<std::vector<int64_t>>();
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bool get_shape = callbacks::GetParameterShape(func_graph, "weight", param_shape_ptr);
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ASSERT_TRUE(get_shape == true);
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}
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TEST_F(TestCallback, test_checkpoint_save_op) {
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py::object obj = python_adapter::CallPyFn("gtest_input.pipeline.parse.parse_class", "test_get_object_graph");
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FuncGraphPtr func_graph = pipeline::ExecutorPy::GetInstance()->GetFuncGraphPy(obj);
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transform::DfGraphManager::GetInstance().SetAnfGraph(func_graph);
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#define DTYPE float
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ge::DataType dt = ge::DataType::DT_FLOAT;
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std::vector<float> data1 = {1.1, 2.2, 3.3, 4.4, 6.6, 7.7, 8.8, 9.9};
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auto data = data1;
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ge::Shape shape({2, 2, 2, 1});
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ge::Format format = ge::Format::FORMAT_NCHW;
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ge::TensorDesc desc(shape, format, dt);
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transform::GeTensorPtr ge_tensor_ptr =
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std::make_shared<GeTensor>(desc, reinterpret_cast<uint8_t *>(data.data()), data.size() * sizeof(DTYPE));
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std::map<std::string, GeTensor> param_map;
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param_map.insert(std::pair<std::string, GeTensor>("weight", *ge_tensor_ptr));
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param_map.insert(std::pair<std::string, GeTensor>("network.weight", *ge_tensor_ptr));
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int ret = callbacks::CheckpointSaveCallback(0, param_map);
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MS_LOG(INFO) << "ret=" << ret;
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ASSERT_EQ(ret, 0);
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}
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*/
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/*
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TEST_F(TestCallback, test_summary_save_op) {
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py::object obj = python_adapter::CallPyFn(
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"gtest_input.pipeline.parse.parse_class", "test_get_object_graph");
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FuncGraphPtr func_graph = obj.cast<FuncGraphPtr>();
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transform::DfGraphManager::GetInstance().SetAnfGraph(func_graph);
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#define DTYPE float
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ge::DataType dt = ge::DataType::DT_FLOAT;
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float data1 = 1.1;
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float data2 = 2.1;
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ge::Shape shape({1, 1, 1, 1});
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ge::Format format = ge::Format::FORMAT_NCHW;
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ge::TensorDesc desc(shape, format, dt);
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GeTensorPtr ge_tensor_ptr1 = std::make_shared<GeTensor>(desc,
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reinterpret_cast<uint8_t *>(&data1),
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sizeof(DTYPE));
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GeTensorPtr ge_tensor_ptr2 = std::make_shared<GeTensor>(desc,
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reinterpret_cast<uint8_t *>(&data2),
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sizeof(DTYPE));
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std::map<std::string, GeTensor> param_map;
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param_map.insert(std::pair<std::string, GeTensor>("x1[:Scalar]", *ge_tensor_ptr1));
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param_map.insert(std::pair<std::string, GeTensor>("x2[:Scalar]", *ge_tensor_ptr2));
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int ret = callbacks::SummarySaveCallback(0, param_map);
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MS_LOG(INFO) << "ret=" << ret;
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ASSERT_TRUE(ret == 0);
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}
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*/
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} // namespace mindspore
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