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44cc873fba
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/56830 Opt into formatting on GitHub and format everything. This is a trial run before turning on formatting for more and eventually all of the codebase. Test Plan: CI Reviewed By: zertosh Differential Revision: D27979080 fbshipit-source-id: a80f0c48691c08ae8ca0af06377b87e6a2351151
46 lines
1.5 KiB
C++
46 lines
1.5 KiB
C++
#include <c10/core/TensorOptions.h>
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#include <c10/core/Device.h>
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#include <c10/core/Layout.h>
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#include <c10/core/ScalarType.h>
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#include <c10/util/Optional.h>
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#include <iostream>
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namespace c10 {
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// Note: TensorOptions properties are all optional, but (almost) all have
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// getters that supply a default when the corresponding property is missing.
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// Here we print the values returned by the default-supplying getters for
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// properties that have them, along with an annotation if the value is
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// returned by default. This gives the full picture of both the object's
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// internal state and what its getters will return.
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std::ostream& operator<<(std::ostream& stream, const TensorOptions& options) {
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auto print = [&](const char* label, auto prop, bool has_prop) {
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stream << label << std::boolalpha << prop << (has_prop ? "" : " (default)");
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};
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print("TensorOptions(dtype=", options.dtype(), options.has_dtype());
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print(", device=", options.device(), options.has_device());
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print(", layout=", options.layout(), options.has_layout());
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print(
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", requires_grad=", options.requires_grad(), options.has_requires_grad());
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print(
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", pinned_memory=", options.pinned_memory(), options.has_pinned_memory());
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// note: default-supplying memory_format() getter not provided; no canonical
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// default
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stream << ", memory_format=";
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if (options.has_memory_format()) {
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stream << *options.memory_format_opt();
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} else {
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stream << "(nullopt)";
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}
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stream << ")";
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return stream;
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}
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} // namespace c10
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