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79 lines
2.3 KiB
79 lines
2.3 KiB
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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#include <stdlib.h>
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#include <time.h>
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#include <iostream>
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#include <memory>
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#include "gtest/gtest.h"
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#include "paddle/fluid/framework/save_load_util.h"
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#include "paddle/fluid/platform/macros.h"
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namespace paddle {
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namespace framework {
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TEST(test_save_load_util, test_save_load) {
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srand(time(NULL));
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auto cpu_place = platform::CPUPlace();
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Tensor tensor1;
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tensor1.Resize({1000, 1000});
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auto src_data_1 = tensor1.mutable_data<float>(cpu_place);
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Tensor tensor2;
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tensor2.Resize({5000, 1000});
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auto src_data_2 = tensor2.mutable_data<float>(cpu_place);
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for (int64_t i = 0; i < tensor1.numel(); ++i) {
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float temp = (rand() % 10000) * 1.0 / 50000 - 1.0; // NOLINT
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src_data_1[i] = temp;
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}
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for (int64_t i = 0; i < tensor2.numel(); ++i) {
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float temp = (rand() % 10000) * 1.0 / 50000 - 1.0; // NOLINT
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src_data_2[i] = temp;
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}
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std::map<std::string, Tensor*> map_tensor;
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map_tensor["t1"] = &tensor1;
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map_tensor["t2"] = &tensor2;
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SaveTensorToDisk("test_1", map_tensor);
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std::map<std::string, std::shared_ptr<Tensor>> load_map_tensor;
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LoadTensorFromDisk("test_1", &load_map_tensor);
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ASSERT_TRUE(load_map_tensor.find("t1") != load_map_tensor.end());
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ASSERT_TRUE(load_map_tensor.find("t2") != load_map_tensor.end());
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auto new_tensor_1 = load_map_tensor["t1"];
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auto new_tensor_2 = load_map_tensor["t2"];
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float* ptr_1 = tensor1.data<float>();
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float* ptr_1_new = new_tensor_1->data<float>();
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for (int64_t i = 0; i < tensor1.numel(); ++i) {
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ASSERT_EQ(ptr_1[i], ptr_1_new[i]);
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}
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float* ptr_2 = tensor2.data<float>();
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float* ptr_2_new = new_tensor_2->data<float>();
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for (int64_t i = 0; i < tensor2.numel(); ++i) {
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ASSERT_EQ(ptr_2[i], ptr_2_new[i]);
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}
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}
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} // namespace framework
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} // namespace paddle
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