运行报错

[JXFOnestep]

terminate called after throwing an instance of 'std::runtime_error' what(): The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/torch/models/yolo.py", line 33, in forward _22 = getattr(self.model, "2") _23 = getattr(self.model, "1") _24 = (getattr(self.model, "0")).forward(x, )

    _25 = (_22).forward((_23).forward(_24, ), )
    _26 = (_20).forward((_21).forward(_25, ), )
  File "code/__torch__/models/common.py", line 10, in forward
  def forward(self: __torch__.models.common.Conv,
    x: Tensor) -> Tensor:
    _0 = (self.act).forward((self.conv).forward(x, ), )
                             ~~~~~~~~~~~~~~~~~~ <--- HERE
    return _0
class C3(Module):
  File "code/__torch__/torch/nn/modules/conv.py", line 11, in forward
    x: Tensor) -> Tensor:
    _0 = self.bias
    x0 = torch._convolution(x, self.weight, _0, [2, 2], [2, 2], [1, 1], False, [0, 0], 1, False, False, True, True)
         ~~~~~~~~~~~~~~~~~~ <--- HERE
    return x0

models/export.py(65): <module>
RuntimeError: Input type (CPUFloatType) and weight type (CUDAFloatType) should be the same or input should be a MKLDNN tensor and weight is a dense tensor

[YWL0720]

libtorch是readme里的版本吗

[JXFOnestep]

libtorch跟你提供的一致，我单独写了一个libtorch测试案例就不会报错，一旦加到SLAM框架中就报错，不知道是什么原因

[JXFOnestep]

这个问题解决了，因为我推理的时候用了GPU，后来用CPU版就没有这个问题了，但是又有新的问题了， terminate called after throwing an instance of 'c10::Error' what(): isTuple() INTERNAL ASSERT FAILED at "/home/jxf/environment/libtorch-1.8.0+cpu/include/ATen/core/ivalue_inl.h":1097, please report a bug to PyTorch. Expected Tuple but got GenericList Exception raised from toTuple at /home/jxf/environment/libtorch-1.8.0+cpu/include/ATen/core/ivalue_inl.h:1097 (most recent call first):