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267641a245
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49042 I want the names positional and kwarg_only to give the unflat representation (e.g., preserving TensorOptionsArguments in the returned Union). So I regret my original naming choice when I moved grouping to model. This renames them to have flat_ prefix and also adds a flat_non_out argument for cases where you just want to look at non-out arguments. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Test Plan: Imported from OSS Reviewed By: H-Huang Differential Revision: D25455884 Pulled By: ezyang fbshipit-source-id: f923f8881267a3e3e8e9521519412f7cc25034fc
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
from tools.codegen.model import *
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from tools.codegen.api.types import MetaArgument
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import tools.codegen.api.dispatcher as dispatcher
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from typing import Sequence
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# Follows dispatcher calling convention, but:
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# - Mutable arguments not allowed. Meta functions are always
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# written in functional form. Look at FunctionSchema.signature()
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# - No tensor returns; instead we return a TensorMeta describing
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# the tensor in question
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def name(g: StructuredNativeFunctions) -> str:
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# use the overload name from the functional version
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return str(g.functional.func.name).replace('.', '_')
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def argument_type(a: Argument) -> str:
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assert not a.is_write
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return dispatcher.argumenttype_type(a.type, mutable=False)
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def argument(a: Argument) -> MetaArgument:
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return MetaArgument(
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type=argument_type(a),
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name=a.name,
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argument=a,
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)
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def arguments(func: FunctionSchema) -> Sequence[MetaArgument]:
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assert not func.arguments.out
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return list(map(argument, func.arguments.flat_non_out))
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