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jit-backlogoncall: jitAdd this issue/PR to JIT oncall triage queueAdd this issue/PR to JIT oncall triage queuetriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
Description
import torch
from typing import List
class Foo(torch.jit.ScriptModule):
@torch.jit.script_method
def forward(self, languages: List[str]=[], per_token_languages: List[List[str]]=[]):
return torch.rand(3, 4)
f = Foo()
f.save('/tmp/test.zip')
torch.jit.load('/tmp/test.zip')
Traceback (most recent call last):
File "repro_load_fail2.py", line 12, in <module>
torch.jit.load('/tmp/test.zip')
File "/Users/jamesreed/pytorch/torch/jit/__init__.py", line 147, in load
torch._C.import_ir_module(module_lookup, f, map_location, _extra_files)
RuntimeError:
Return value was annotated as having type Tuple[List[str], List[List[str]]] but is actually of type Tuple[List[Tensor], List[Tensor]]:
at code/test.py:2:12
op_version_set = 1
def forward(self,
~~~~~~... <--- HERE
languages: List[str]=[],
per_token_languages: List[List[str]]=[]) -> Tensor:
_0 = torch.rand([3, 4], dtype=None, layout=None, device=None, pin_memory=None)
return _0
cc @suo
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jit-backlogoncall: jitAdd this issue/PR to JIT oncall triage queueAdd this issue/PR to JIT oncall triage queuetriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module