python.context-manager

Null Context Manager

注意

标签: python.context-manager

支持级别: 支持

原版源代码:

# mypy: allow-untyped-defs
import contextlib

import torch

class NullContextManager(torch.nn.Module):
"""
    Null context manager in Python will be traced out.
    """

    def forward(self, x):
"""
        Null context manager in Python will be traced out.
        """
        ctx = contextlib.nullcontext()
        with ctx:
            return x.sin() + x.cos()

example_args = (torch.randn(3, 2),)
tags = {"python.context-manager"}
model = NullContextManager()


torch.export.export(model, example_args)

结果:

ExportedProgram:
    class GraphModule(torch.nn.Module):
        def forward(self, x: "f32[3, 2]"):
                 sin: "f32[3, 2]" = torch.ops.aten.sin.default(x)
            cos: "f32[3, 2]" = torch.ops.aten.cos.default(x);  x = None
            add: "f32[3, 2]" = torch.ops.aten.add.Tensor(sin, cos);  sin = cos = None
            return (add,)

Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='x'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='add'), target=None)])
Range constraints: {}
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