I try to use torch.jit.save() save model in pytorch1.7 machine.
But I can not use torch.jit.load() load model in my local machin(pytorch1.6)
ERROR message:
RuntimeError:

aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled) → (Tensor):
Expected at most 12 arguments but found 13 positional arguments.


Serialized   File “code/torch/torch/nn/modules/conv.py”, line 11
argument_1: Tensor) → Tensor:
_0 = self.bias
input = torch._convolution(argument_1, self.weight, _0, [1, 1], [0, 0], [1, 1], False, [0, 0], 1, False, False, True, True)
~~~~~~~~~~~~~~~~~~ <— HERE
return input
class ConvTranspose2d(Module):