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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13433 Reviewed By: jerryzh168 Differential Revision: D12874599 fbshipit-source-id: 0c262fda72cbc4f3ea80df790cc8e95140bdc7e0
54 lines
1.3 KiB
C++
54 lines
1.3 KiB
C++
#include "caffe2/utils/smart_tensor_printer.h"
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#include "caffe2/core/common.h"
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#include <gtest/gtest.h>
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namespace caffe2 {
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template <typename T>
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std::string my_to_string(const T& value) {
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return to_string(value);
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}
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template <>
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std::string my_to_string<std::string>(const std::string& value) {
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return value;
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}
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template <typename T>
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void expect_stderr_contains(const std::vector<T>& values) {
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std::string captured_stderr = testing::internal::GetCapturedStderr();
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for (const auto& value : values) {
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std::string stringValue = my_to_string(value);
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EXPECT_TRUE(captured_stderr.find(stringValue) != std::string::npos);
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}
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}
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template <typename T>
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void printTensorAndCheck(const std::vector<T>& values) {
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testing::internal::CaptureStderr();
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Tensor tensor =
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TensorCPUFromValues<T>({static_cast<int64_t>(values.size())}, values);
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SmartTensorPrinter::PrintTensor(tensor);
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expect_stderr_contains(values);
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}
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// We need real glog for this test to pass
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#ifdef CAFFE2_USE_GOOGLE_GLOG
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#if !(__APPLE__) // TODO(janusz): thread_local does not work under mac.
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TEST(SmartTensorPrinterTest, SimpleTest) {
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printTensorAndCheck(std::vector<int>{1, 2, 3, 4, 5});
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printTensorAndCheck(std::vector<std::string>{"bob", "alice", "facebook"});
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}
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#endif // !(__APPLE__)
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#endif // CAFFE2_USE_GOOGLE_GLOG
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} // namespace caffe2
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