Auto compare cpu and gpu function.

paddle/math/BaseMatrix.cu

@@ -1584,11 +1584,6 @@ void BaseMatrixT<real>::minRows(BaseMatrixT& b) {
   applyRow(aggregate::min(), b);
 }
 
-template<>
-void BaseMatrixT<real>::sumCols(BaseMatrixT& b) {
-  applyCol(aggregate::sum(), b);
-}
-
 template<>
 void BaseMatrixT<real>::maxCols(BaseMatrixT& b) {
   applyCol(aggregate::max(), b);

paddle/math/BaseMatrix.h

@@ -1018,8 +1018,6 @@ class BaseMatrixT {
   /// calculate the minimum value of each row of the matrix b.
   void minRows(BaseMatrixT& b);
 
-  /// calculate the sum of each column of the matrix b.
-  void sumCols(BaseMatrixT& b);
   /// calculate the maximum value of each column of the matrix b.
   void maxCols(BaseMatrixT& b);
   /// calculate the minimum value of each column of the matrix b.

paddle/math/tests/CMakeLists.txt

@@ -2,7 +2,7 @@
 
 add_simple_unittest(test_ExecViaCpu)
 add_simple_unittest(test_SIMDFunctions)
-add_simple_unittest(test_matrix)
+add_simple_unittest(test_SparseMatrix)
 
 # TODO(yuyang18): Refactor TestUtil.cpp. Remove this cross module reference.
 add_unittest(test_matrixCompare
@@ -14,4 +14,6 @@ add_simple_unittest(test_perturbation)
 add_simple_unittest(test_CpuGpuVector)
 add_simple_unittest(test_Allocator)
 add_simple_unittest(test_FPException)
-add_simple_unittest(test_GpuProfiler)
+add_simple_unittest(test_GpuProfiler)
+add_simple_unittest(test_BaseMatrix)
+add_simple_unittest(test_Matrix)

paddle/math/tests/TensorCheck.h

@@ -0,0 +1,216 @@
+/* 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. */
+
+#pragma once
+
+/**
+ * This file provides a TensorCheck template function, which can be used to
+ * compare CpuMatrix and GpuMatrix, CpuVector and GpuVector, and so on.
+ */
+
+#include <cmath>
+#include "paddle/math/Matrix.h"
+
+namespace autotest {
+
+using paddle::Matrix;
+using paddle::CpuMatrix;
+using paddle::GpuMatrix;
+using paddle::VectorT;
+using paddle::CpuVectorT;
+using paddle::GpuVectorT;
+
+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 <typename Tensor>
+class CopyToCpu;
+
+template <>
+class CopyToCpu<CpuMatrix> {
+public:
+  explicit CopyToCpu(const CpuMatrix& arg) : arg_(arg) {}
+  const CpuMatrix& copiedArg() const { return arg_; }
+
+private:
+  const CpuMatrix& arg_;
+};
+
+template <>
+class CopyToCpu<GpuMatrix> {
+public:
+  explicit CopyToCpu(const GpuMatrix& arg)
+      : arg_(arg.getHeight(), arg.getWidth()) {
+    arg_.copyFrom(arg);
+  }
+  CpuMatrix& copiedArg() { return arg_; }
+
+private:
+  CpuMatrix arg_;
+};
+
+template <>
+class CopyToCpu<Matrix> {
+public:
+  explicit CopyToCpu(const Matrix& arg)
+      : arg_(arg.getHeight(), arg.getWidth()) {
+    arg_.copyFrom(arg);
+  }
+  CpuMatrix& copiedArg() { return arg_; }
+
+private:
+  CpuMatrix arg_;
+};
+
+template <typename T>
+class CopyToCpu<CpuVectorT<T>> {
+public:
+  explicit CopyToCpu(const CpuVectorT<T>& arg) : arg_(arg) {}
+  const CpuVectorT<T>& copiedArg() const { return arg_; }
+
+private:
+  const CpuVectorT<T>& arg_;
+};
+
+template <typename T>
+class CopyToCpu<GpuVectorT<T>> {
+public:
+  explicit CopyToCpu(const GpuVectorT<T>& arg) : arg_(arg.getSize()) {
+    arg_.copyFrom(arg);
+  }
+  CpuVectorT<T>& copiedArg() { return arg_; }
+
+private:
+  CpuVectorT<T> arg_;
+};
+
+template <typename T>
+class CopyToCpu<VectorT<T>> {
+public:
+  explicit CopyToCpu(const VectorT<T>& arg) : arg_(arg.getSize()) {
+    arg_.copyFrom(arg);
+  }
+  CpuVectorT<T>& copiedArg() { return arg_; }
+
+private:
+  CpuVectorT<T> arg_;
+};
+
+template <typename AssertEq>
+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 <typename AssertEq, class T>
+void TensorCheck(AssertEq compare,
+                 const CpuVectorT<T>& vector1,
+                 const CpuVectorT<T>& vector2) {
+  CHECK(vector1.getSize() == vector2.getSize());
+
+  const T* data1 = vector1.getData();
+  const T* data2 = vector2.getData();
+  size_t size = vector1.getSize();
+  int count = 0;
+  for (size_t i = 0; i < size; i++) {
+    real a = data1[i];
+    real b = data2[i];
+    if (!compare(a, b)) {
+      count++;
+    }
+  }
+  EXPECT_EQ(count, 0) << "There are " << count << " different element.";
+}
+
+template <typename AssertEq, typename Tensor1, typename Tensor2>
+void TensorCheck(AssertEq compare,
+                 const Tensor1& tensor1,
+                 const Tensor2& tensor2) {
+  TensorCheck(compare,
+              CopyToCpu<Tensor1>(tensor1).copiedArg(),
+              CopyToCpu<Tensor2>(tensor2).copiedArg());
+}
+
+template <typename AssertEq>
+void TensorCheck(AssertEq compare, real args1, real args2) {
+  EXPECT_EQ(compare(args1, args2), true) << "[Test error] args1 = " << args1
+                                         << ", args2 = " << args2;
+}
+
+template <typename AssertEq>
+void TensorCheck(AssertEq compare, size_t args1, size_t args2) {
+  EXPECT_EQ(args1, args2) << "[Test error] args1 = " << args1
+                          << ", args2 = " << args2;
+}
+
+template <typename Tensor1, typename Tensor2>
+void TensorCheckEqual(const Tensor1& tensor1, const Tensor2& tensor2) {
+  AssertEqual compare(0);
+  TensorCheck(compare,
+              CopyToCpu<Tensor1>(tensor1).copiedArg(),
+              CopyToCpu<Tensor2>(tensor2).copiedArg());
+}
+
+template <typename Tensor1, typename Tensor2>
+void TensorCheckErr(const Tensor1& tensor1, const Tensor2& tensor2) {
+#ifndef PADDLE_TYPE_DOUBLE
+  AssertEqual compare(1e-3);
+#else
+  AssertEqual compare(1e-10);
+#endif
+  TensorCheck(compare,
+              CopyToCpu<Tensor1>(tensor1).copiedArg(),
+              CopyToCpu<Tensor2>(tensor2).copiedArg());
+}
+
+}  // namespace autotest