请问jit转换格式的时候 总是报错 请问怎么办？ about libtorchtutorials HOT 5 CLOSED

不太明白？你是写了个动态图？在forward时候if判断了？
能否贴个错误

from libtorchtutorials.

你好 热心的回复 能留邮箱吗 我是1119006913@qq

from libtorchtutorials.

site-packages/torch/jit/_recursive.py", line 292, in create_methods_from_stubs
concrete_type._create_methods(defs, rcbs, defaults)
RuntimeError:

forward(torch.model.VGG.VGG16_FPN.FPN self, Tensor inputs) -> ((Tensor, Tensor, Tensor)):
Expected a value of type 'Tensor (inferred)' for argument 'inputs' but instead found type 'List[Tensor]'.
Inferred 'inputs' to be of type 'Tensor' because it was not annotated with an explicit type.
Empty lists default to List[Tensor]. Add a variable annotation to the assignment to create an empty list of another type (torch.jit.annotate(List[T, []]) where T is the type of elements in the list for Python 2)

from libtorchtutorials.

trace可能用tuple要比list好，你改成tuple传输就好了应该
加你QQ了，发现以前加过你创建的群，缘分呐

from libtorchtutorials.

@AllentDan 请问建立的技术讨论群号是多少

from libtorchtutorials.