Modify FunctionCompare to Compare2Function to support comparison of two CPU functions.

paddle/function/ContextProjectionOpTest.cpp

@@ -28,7 +28,7 @@ void testMatrixProjectionForward(int context_start,
                std::max(0, (int)(context_start + context_length - 1));
   if (pad == 0) is_padding = false;
 
-  FunctionCompare test(
+  CpuGpuFuncCompare test(
       "ContextProjectionForward",
       FuncConfig()
           .set("context_length", context_length)
@@ -60,7 +60,7 @@ void testMatrixProjectionBackward(int context_start,
                std::max(0, (int)(context_start + context_length - 1));
   if (pad == 0) is_padding = false;
 
-  FunctionCompare test(
+  CpuGpuFuncCompare test(
       "ContextProjectionBackward",
       FuncConfig()
           .set("context_length", context_length)

paddle/function/CosSimOpTest.cpp

@@ -22,7 +22,7 @@ void testCosSimForward(size_t height_x,
                        size_t height_y,
                        size_t width,
                        real scale) {
-  FunctionCompare test("CosSimForward", FuncConfig().set("scale", scale));
+  CpuGpuFuncCompare test("CosSimForward", FuncConfig().set("scale", scale));
   // prepare input arguments
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{height_x, width}));
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{height_y, width}));
@@ -36,7 +36,7 @@ void testCosSimBackward(size_t height_x,
                         size_t height_y,
                         size_t width,
                         real scale) {
-  FunctionCompare test("CosSimBackward", FuncConfig().set("scale", scale));
+  CpuGpuFuncCompare test("CosSimBackward", FuncConfig().set("scale", scale));
   // prepare input arguments
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{height_x, 1}));
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{height_x, 1}));

paddle/function/CrossMapNormalOpTest.cpp

@@ -28,11 +28,11 @@ TEST(CrossMapNormal, real) {
                     << " size=" << size;
 
             // init Test object
-            FunctionCompare test("CrossMapNormal",
-                                 FuncConfig()
-                                     .set("size", size)
-                                     .set("scale", (real)1.5)
-                                     .set("pow", (real)0.5));
+            CpuGpuFuncCompare test("CrossMapNormal",
+                                   FuncConfig()
+                                       .set("size", size)
+                                       .set("scale", (real)1.5)
+                                       .set("pow", (real)0.5));
             // prepare input arguments
             TensorShape shape{numSamples, channels, imgSizeH, imgSizeW};
             test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
@@ -57,11 +57,11 @@ TEST(CrossMapNormalGrad, real) {
                     << " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW
                     << " size=" << size;
 
-            FunctionCompare test("CrossMapNormalGrad",
-                                 FuncConfig()
-                                     .set("size", size)
-                                     .set("scale", (real)1.5)
-                                     .set("pow", (real)0.5));
+            CpuGpuFuncCompare test("CrossMapNormalGrad",
+                                   FuncConfig()
+                                       .set("size", size)
+                                       .set("scale", (real)1.5)
+                                       .set("pow", (real)0.5));
             TensorShape shape{numSamples, channels, imgSizeH, imgSizeW};
             test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
             test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));

paddle/function/MulOpTest.cpp

@@ -35,7 +35,7 @@ void testFuncDDDMatrix(
   size_t heightC = dimM;
   size_t widthC = dimN;
   // init Test object
-  FunctionCompare test(
+  CpuGpuFuncCompare test(
       "MulOp", FuncConfig().set("aTrans", transa).set("bTrans", transb));
   // prepare input arguments
   /// matrix A : HA * WA
@@ -81,8 +81,8 @@ void testFuncDSparseDMatrix(
     size_t dimM, size_t dimN, size_t dimK, size_t nnz, SparseFormat FORMAT) {
   real scaleT = 1.0;
   // init Test object
-  FunctionCompare test("MulOp",
-                       FuncConfig().set("aTrans", false).set("bTrans", false));
+  CpuGpuFuncCompare test(
+      "MulOp", FuncConfig().set("aTrans", false).set("bTrans", false));
   // prepare input arguments
   /// sparse matrix A : M * K
   test.addInputs(SparseMatrixArg(
@@ -126,8 +126,8 @@ void testFuncDDSparseMatrix(
     size_t dimM, size_t dimN, size_t dimK, size_t nnz, SparseFormat FORMAT) {
   real scaleT = 1.0;
   // init Test object
-  FunctionCompare test("MulOp",
-                       FuncConfig().set("aTrans", false).set("bTrans", false));
+  CpuGpuFuncCompare test(
+      "MulOp", FuncConfig().set("aTrans", false).set("bTrans", false));
   // prepare input arguments
   /// matrix A : M * K
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{dimM, dimK}));
@@ -172,8 +172,8 @@ void testFuncSparseDDMatrix(
     size_t dimM, size_t dimN, size_t dimK, size_t nnz, SparseFormat FORMAT) {
   real scaleT = 1.0;
   // init Test object
-  FunctionCompare test("MulOp",
-                       FuncConfig().set("aTrans", false).set("bTrans", false));
+  CpuGpuFuncCompare test(
+      "MulOp", FuncConfig().set("aTrans", false).set("bTrans", false));
   // prepare input arguments
   /// matrix A : M * K
   test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{dimM, dimK}));

paddle/function/PadOpTest.cpp

@@ -25,7 +25,7 @@ TEST(Pad, real) {
           VLOG(3) << " numSamples=" << numSamples << " channels=" << channels
                   << " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW;
           for (bool test_grad : {false, true}) {
-            FunctionCompare compare(
+            CpuGpuFuncCompare compare(
                 test_grad ? "PadGrad" : "Pad",
                 FuncConfig()
                     .set<std::vector<uint32_t>>("channel", {2, 3})