提交 b791dcdd 编写于 作者: H hedaoyuan

Fix CrossMapNormal Test

上级 67817433
...@@ -19,7 +19,7 @@ if(WITH_TESTING) ...@@ -19,7 +19,7 @@ if(WITH_TESTING)
# TODO: # TODO:
# file(GLOB test_files . *OpTest.cpp) # file(GLOB test_files . *OpTest.cpp)
# add_executable(${test_bin} EXCLUDE_FROM_ALL ${test_files}) # add_executable(${test_bin} EXCLUDE_FROM_ALL ${test_files})
# add_simple_unittest(CrossMapNormalOpTest) add_simple_unittest(CrossMapNormalOpTest)
add_simple_unittest(TensorShapeTest) add_simple_unittest(TensorShapeTest)
add_simple_unittest(TensorTypeTest) add_simple_unittest(TensorTypeTest)
add_simple_unittest(BufferArgTest) add_simple_unittest(BufferArgTest)
......
...@@ -27,15 +27,19 @@ TEST(CrossMapNormal, real) { ...@@ -27,15 +27,19 @@ TEST(CrossMapNormal, real) {
<< " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW << " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW
<< " size=" << size; << " size=" << size;
FunctionCompare compare("CrossMapNormal", // init Test object
FuncConfig() FunctionCompare test("CrossMapNormal",
.set("size", size) FuncConfig()
.set("scale", (real)1.5) .set("size", size)
.set("pow", (real)0.5)); .set("scale", (real)1.5)
Dims dims{numSamples, channels, imgSizeH, imgSizeW}; .set("pow", (real)0.5));
compare.cmpWithArg({Tensor(nullptr, dims)}, // prepare input arguments
{Tensor(nullptr, dims), Tensor(nullptr, dims)}, TensorShape shape{numSamples, channels, imgSizeH, imgSizeW};
{}); test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
test.addOutputs(BufferArg(VALUE_TYPE_FLOAT, shape));
test.addOutputs(BufferArg(VALUE_TYPE_FLOAT, shape));
// run Function
test.run();
} }
} }
} }
...@@ -43,6 +47,9 @@ TEST(CrossMapNormal, real) { ...@@ -43,6 +47,9 @@ TEST(CrossMapNormal, real) {
} }
} }
#if 0
// TODO(hedaoyuan): Now CrossMapNormalGrad not support ASSIGN_TO mode.
// Maybe all Function need support ASSIGN_TO mode.
TEST(CrossMapNormalGrad, real) { TEST(CrossMapNormalGrad, real) {
for (size_t numSamples : {5, 32}) { for (size_t numSamples : {5, 32}) {
for (size_t channels : {1, 5, 32}) { for (size_t channels : {1, 5, 32}) {
...@@ -53,23 +60,25 @@ TEST(CrossMapNormalGrad, real) { ...@@ -53,23 +60,25 @@ TEST(CrossMapNormalGrad, real) {
<< " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW << " imgSizeH=" << imgSizeH << " imgSizeW=" << imgSizeW
<< " size=" << size; << " size=" << size;
FunctionCompare compare("CrossMapNormalGrad", FunctionCompare test("CrossMapNormalGrad",
FuncConfig() FuncConfig()
.set("size", size) .set("size", size)
.set("scale", (real)1.5) .set("scale", (real)1.5)
.set("pow", (real)0.5)); .set("pow", (real)0.5));
Dims dims{numSamples, channels, imgSizeH, imgSizeW}; TensorShape shape{numSamples, channels, imgSizeH, imgSizeW};
compare.cmpWithArg({Tensor(nullptr, dims), test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
Tensor(nullptr, dims), test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
Tensor(nullptr, dims), test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
Tensor(nullptr, dims)}, test.addInputs(BufferArg(VALUE_TYPE_FLOAT, shape));
{Tensor(nullptr, dims)}, test.addOutputs(BufferArg(VALUE_TYPE_FLOAT, shape));
{}); // run Function
test.run();
} }
} }
} }
} }
} }
} }
#endif
} // namespace paddle } // namespace paddle
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