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120 lines
3.1 KiB
120 lines
3.1 KiB
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <cmath>
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#include <gtest/gtest.h>
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#include "paddle/math/Matrix.h"
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using namespace paddle; // NOLINT
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using namespace std; // NOLINT
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namespace autotest {
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class AssertEqual {
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public:
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AssertEqual(real err = 0) : err_(err) {}
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inline bool operator()(real a, real b) {
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if (err_ == 0) {
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if (a != b) {
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return false;
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}
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} else {
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if (std::fabs(a - b) > err_) {
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if ((std::fabs(a - b) / std::fabs(a)) > (err_ / 10.0f)) {
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return false;
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}
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}
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}
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return true;
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}
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private:
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real err_;
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};
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template <typename Tensor>
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class CopyToCpu;
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template <>
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class CopyToCpu<CpuMatrix> {
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public:
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explicit CopyToCpu(const CpuMatrix& arg) : arg_(arg) {}
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const CpuMatrix& copiedArg() const { return arg_; }
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private:
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const CpuMatrix& arg_;
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};
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template <>
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class CopyToCpu<GpuMatrix> {
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public:
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explicit CopyToCpu(const GpuMatrix& arg)
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: arg_(arg.getHeight(), arg.getWidth()) {
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arg_.copyFrom(arg);
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}
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CpuMatrix& copiedArg() { return arg_; }
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private:
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CpuMatrix arg_;
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};
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template <typename AssertEq>
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void TensorCheck(AssertEq compare,
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const CpuMatrix& matrix1,
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const CpuMatrix& matrix2) {
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CHECK(matrix1.getHeight() == matrix2.getHeight());
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CHECK(matrix1.getWidth() == matrix2.getWidth());
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int height = matrix1.getHeight();
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int width = matrix1.getWidth();
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const real* data1 = matrix1.getData();
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const real* data2 = matrix2.getData();
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int count = 0;
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for (int i = 0; i < height; i++) {
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for (int j = 0; j < width; j++) {
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real a = data1[i * width + j];
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real b = data2[i * width + j];
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if (!compare(a, b)) {
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count++;
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}
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}
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}
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EXPECT_EQ(count, 0) << "There are " << count << " different element.";
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}
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template <typename AssertEq, typename Tensor1, typename Tensor2>
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extern void TensorCheck(AssertEq compare,
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const Tensor1& tensor1,
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const Tensor2& tensor2) {
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TensorCheck(compare,
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CopyToCpu<Tensor1>(tensor1).copiedArg(),
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CopyToCpu<Tensor2>(tensor2).copiedArg());
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}
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template <typename AssertEq>
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void TensorCheck(AssertEq compare, real args1, real args2) {
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EXPECT_EQ(compare(args1, args2), true) << "[Test error] args1 = " << args1
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<< ", args2 = " << args2;
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}
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template <typename AssertEq>
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void TensorCheck(AssertEq compare, size_t args1, size_t args2) {
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EXPECT_EQ(args1, args2) << "[Test error] args1 = " << args1
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<< ", args2 = " << args2;
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}
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} // namespace autotest
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