pytorch/test/cpp/api/support.cpp

#include <test/cpp/api/support.h>

namespace torch {
namespace test {

std::mutex AutoDefaultDtypeMode::default_dtype_mutex;

} // namespace test
} // namespace torch
Use default dtype for torch::tensor(floating_point_values) and torch::tensor(empty braced-init-list) when dtype is not specified (#29632) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/29632 This PR is BC-breaking in the following way: Previously, C++ `torch::tensor` with a floating-point literal with no suffix (e.g. `torch::tensor(1.1)`) or a (nested) braced-init-list of floating-point literals with no suffix (e.g. `torch::tensor({{1.1, 2.2}})` produces a tensor with dtype `at::kDouble`. After this PR, it produces a tensor with dtype `torch::get_default_dtype()`, matching Python `torch.tensor` behavior. Test Plan: Imported from OSS Differential Revision: D18465819 Pulled By: yf225 fbshipit-source-id: 6834fe50335c677bc3832f2a5e9cf8d1ede9f665 2019-11-13 23:14:08 +00:00			`#include <test/cpp/api/support.h>`

			`namespace torch {`
			`namespace test {`

			`std::mutex AutoDefaultDtypeMode::default_dtype_mutex;`

			`} // namespace test`
			`} // namespace torch`