/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve. 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 #include #include "paddle/math/Matrix.h" using namespace paddle; // NOLINT using namespace std; // NOLINT namespace autotest { class AssertEqual { public: AssertEqual(real err = 0) : err_(err) {} inline bool operator()(real a, real b) { if (err_ == 0) { if (a != b) { return false; } } else { if (std::fabs(a - b) > err_) { if ((std::fabs(a - b) / std::fabs(a)) > (err_ / 10.0f)) { return false; } } } return true; } private: real err_; }; template class CopyToCpu; template <> class CopyToCpu { public: explicit CopyToCpu(const CpuMatrix& arg) : arg_(arg) {} const CpuMatrix& copiedArg() const { return arg_; } private: const CpuMatrix& arg_; }; template <> class CopyToCpu { public: explicit CopyToCpu(const GpuMatrix& arg) : arg_(arg.getHeight(), arg.getWidth()) { arg_.copyFrom(arg); } CpuMatrix& copiedArg() { return arg_; } private: CpuMatrix arg_; }; template void TensorCheck(AssertEq compare, const CpuMatrix& matrix1, const CpuMatrix& matrix2) { CHECK(matrix1.getHeight() == matrix2.getHeight()); CHECK(matrix1.getWidth() == matrix2.getWidth()); int height = matrix1.getHeight(); int width = matrix1.getWidth(); const real* data1 = matrix1.getData(); const real* data2 = matrix2.getData(); int count = 0; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { real a = data1[i * width + j]; real b = data2[i * width + j]; if (!compare(a, b)) { count++; } } } EXPECT_EQ(count, 0) << "There are " << count << " different element."; } template extern void TensorCheck(AssertEq compare, const Tensor1& tensor1, const Tensor2& tensor2) { TensorCheck(compare, CopyToCpu(tensor1).copiedArg(), CopyToCpu(tensor2).copiedArg()); } template void TensorCheck(AssertEq compare, real args1, real args2) { EXPECT_EQ(compare(args1, args2), true) << "[Test error] args1 = " << args1 << ", args2 = " << args2; } } // namespace autotest