votes up 1

Expected Tensor argument

Package:
torch
github stars 50580
Exception Class:
RuntimeError

Raise code

        inputs_states = []
        outs = []

        def wrapper(*args):
            in_args: List[torch.Tensor] = []
            for i in range(len(in_vars)):
                if not isinstance(args[i], torch.Tensor):
                    raise RuntimeError('Expected Tensor argument')
                in_args.append(args[i])

            trace_inputs = _unflatten(in_args, in_desc)

            ret_inputs.append(
                tuple(x.clone(memory_format=torch.preserve_format) for x in args)
            )
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