python.assert¶

dynamic_shape_assert¶

注意

支持级别：支持

原始源代码：

import torch

结果:

ExportedProgram:
    class GraphModule(torch.nn.Module):
        def forward(self, arg0_1: "f32[3, 2]"):
            return (arg0_1,)

Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='arg0_1'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='arg0_1'), target=None)])
Range constraints: {}

list_contains¶

注意

标签: torch.dynamic-shape, python.data-structure, python.assert

支持级别：支持

原始源代码：

import torch

结果:

ExportedProgram:
    class GraphModule(torch.nn.Module):
        def forward(self, arg0_1: "f32[3, 2]"):
                add: "f32[3, 2]" = torch.ops.aten.add.Tensor(arg0_1, arg0_1);  arg0_1 = None
            return (add,)

Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='arg0_1'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='add'), target=None)])
Range constraints: {}