chore: import upstream snapshot with attribution

test/cpp/fluid/framework/device_worker_test.cc

@@ -0,0 +1,111 @@
+// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+//
+// 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 "paddle/fluid/framework/device_worker.h"
+
+#include <gtest/gtest.h>
+
+#include "paddle/fluid/framework/lod_tensor.h"
+
+namespace paddle {
+namespace framework {
+TEST(DenseTensor, PrintDenseTensor) {
+  phi::DenseTensor tensor1;
+  tensor1.Resize({2});
+  tensor1.mutable_data<float>(phi::CPUPlace());
+  tensor1.data<float>()[0] = 0.2;
+  tensor1.data<float>()[1] = 0.5;
+  std::string res = PrintDenseTensor(&tensor1, -1, 2);
+  ASSERT_EQ(res, "access violation");
+  res = PrintDenseTensor(&tensor1, 0, 2);
+  ASSERT_EQ(res, "0.2,0.5");
+
+  phi::DenseTensor tensor2;
+  tensor2.Resize({2});
+  tensor2.mutable_data<int64_t>(phi::CPUPlace());
+  tensor2.data<int64_t>()[0] = 1;
+  tensor2.data<int64_t>()[1] = 2;
+  res = PrintDenseTensor(&tensor2, -1, 2);
+  ASSERT_EQ(res, "access violation");
+  res = PrintDenseTensor(&tensor2, 0, 2);
+  ASSERT_EQ(res, "1,2");
+
+  phi::DenseTensor tensor3;
+  tensor3.Resize({2});
+  tensor3.mutable_data<double>(phi::CPUPlace());
+  tensor3.data<double>()[0] = 0.1;
+  tensor3.data<double>()[1] = 0.2;
+  res = PrintDenseTensor(&tensor3, 0, 2);
+  ASSERT_EQ(res, "0.1,0.2");
+
+  phi::DenseTensor tensor4;
+  tensor4.Resize({2});
+  tensor4.mutable_data<double>(phi::CPUPlace());
+  tensor4.data<double>()[0] = 0.1;
+  tensor4.data<double>()[1] = 0.2;
+  res = "";
+  PrintDenseTensor(&tensor4, 0, 2, res);
+  // ASSERT_EQ(res, "0.1,0.2");
+
+  phi::DenseTensor tensor5;
+  tensor5.Resize({2});
+  tensor5.mutable_data<int64_t>(phi::CPUPlace());
+  tensor5.data<int64_t>()[0] = 1;
+  tensor5.data<int64_t>()[1] = 2;
+  res = "";
+  PrintDenseTensor(&tensor5, -1, 2, res);
+  ASSERT_EQ(res, "access violation");
+  res = "";
+  PrintDenseTensor(&tensor5, 0, 2, res);
+  ASSERT_EQ(res, "1,2");
+
+  phi::DenseTensor tensor6;
+  tensor6.Resize({2});
+  tensor6.mutable_data<float>(phi::CPUPlace());
+  tensor6.data<float>()[0] = 0.2;
+  tensor6.data<float>()[1] = 0.5;
+  res = "";
+  PrintDenseTensor(&tensor6, -1, 2, res);
+  // ASSERT_EQ(res, "access violation");
+  res = "";
+  PrintDenseTensor(&tensor6, 0, 2, res);
+  // ASSERT_EQ(res, "0.2,0.5");
+}
+
+TEST(DenseTensor, GetTensorBound) {
+  LegacyLoD lod{{0, 2}};
+  phi::DenseTensor tensor;
+  tensor.set_lod(lod);
+  tensor.Resize({2, 1});
+  tensor.mutable_data<float>(phi::CPUPlace());
+  tensor.data<float>()[0] = 0;
+  tensor.data<float>()[1] = 1;
+  std::pair<int64_t, int64_t> res = GetTensorBound(&tensor, 0);
+  ASSERT_EQ(res.first, 0);
+  ASSERT_EQ(res.second, 2);
+}
+
+TEST(DenseTensor, CheckValidOutput) {
+  LegacyLoD lod{{0, 1, 2}};
+  phi::DenseTensor tensor;
+  tensor.set_lod(lod);
+  tensor.Resize({2, 1});
+  tensor.mutable_data<float>(phi::CPUPlace());
+  tensor.data<float>()[0] = 0;
+  tensor.data<float>()[1] = 1;
+  ASSERT_TRUE(CheckValidOutput(&tensor, 2));
+}
+
+}  // namespace framework
+}  // namespace paddle