pytorch/c10/core/TensorOptions.cpp
Basil Hosmer ec3b355a0f Update ostream << TensorOptions printer. (#35892)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35892

A couple recent property additions were missing, plus we weren't
distinguishing between defaults and bona fide property values.

Test Plan: Imported from OSS

Differential Revision: D20834147

Pulled By: bhosmer

fbshipit-source-id: 26a7e433414e0cde1eee2a9a67472f03ba970897
2020-04-03 15:01:59 -07:00

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1.5 KiB
C++

#include <c10/core/TensorOptions.h>
#include <c10/core/Device.h>
#include <c10/core/Layout.h>
#include <c10/core/ScalarType.h>
#include <c10/util/Optional.h>
#include <iostream>
namespace c10 {
// Note: TensorOptions properties are all optional, but (almost) all have
// getters that supply a default when the corresponding property is missing.
// Here we print the values returned by the default-supplying getters for
// properties that have them, along with an annotation if the value is
// returned by default. This gives the full picture of both the object's
// internal state and what its getters will return.
std::ostream& operator<<(std::ostream& stream, const TensorOptions& options) {
auto print = [&](const char *label, auto prop, bool has_prop) {
stream << label << std::boolalpha << prop << (has_prop ? "" : " (default)");
};
print("TensorOptions(dtype=", options.dtype(), options.has_dtype());
print(", device=", options.device(), options.has_device());
print(", layout=", options.layout(), options.has_layout());
print(", requires_grad=", options.requires_grad(), options.has_requires_grad());
print(", pinned_memory=", options.pinned_memory(), options.has_pinned_memory());
// note: default-supplying memory_format() getter not provided; no canonical default
stream << ", memory_format=";
if (options.has_memory_format()) {
stream << *options.memory_format_opt();
} else {
stream << "(nullopt)";
}
stream << ")";
return stream;
}
} // namespace c10