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2216aae verified 10 months ago

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from torchgen.model import NativeFunctionsGroup


# Follows dispatcher calling convention, but:
#   - Mutable arguments not allowed.  Meta functions are always
#     written in functional form.  Look at FunctionSchema.signature()
#   - No tensor returns; instead we return a TensorMeta describing
#     the tensor in question


def name(g: NativeFunctionsGroup) -> str:
    # use the overload name from the functional version
    return str(g.functional.func.name).replace(".", "_")

	from torchgen.model import NativeFunctionsGroup


	# Follows dispatcher calling convention, but:
	# - Mutable arguments not allowed. Meta functions are always
	# written in functional form. Look at FunctionSchema.signature()
	# - No tensor returns; instead we return a TensorMeta describing
	# the tensor in question


	def name(g: NativeFunctionsGroup) -> str:
	# use the overload name from the functional version
	return str(g.functional.func.name).replace(".", "_")