mirror of https://github.com/llvm/torch-mlir
21 lines
768 B
Python
21 lines
768 B
Python
# -*- Python -*-
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# This file is licensed under a pytorch-style license
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# See frontends/pytorch/LICENSE for license information.
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#
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# pylint: disable=no-member, no-name-in-module, invalid-name, missing-function-docstring, fixme
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from typing import Iterable, Union
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from torch.fx import GraphModule
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from .torch_mlir_types import TorchTensorType, PythonType
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def annotate_forward_args(module: GraphModule,
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types: Iterable[Union[TorchTensorType, type]]
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) -> GraphModule:
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operands = filter(lambda node: node.op == 'placeholder', module.graph.nodes)
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for operand, type_ in zip(operands, types):
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if isinstance(type_, type):
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type_ = PythonType(type_)
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operand.update_kwarg('torch_mlir_type', type_)
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return module
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