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high priorityoncall: 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
🐛 Bug
This works with Python 3.7 but fails on Python 3.8
test.py
import torch
@torch.jit.script
def foo(x):
return torch.sum(x, dim=1)error message
Traceback (most recent call last):
File "./test.py", line 3, in <module>
def foo(x):
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/__init__.py", line 1079, in script
ast = get_jit_def(obj)
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 169, in get_jit_def
return build_def(ctx, py_ast.body[0], type_line, self_name)
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 209, in build_def
build_stmts(ctx, body))
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 125, in build_stmts
stmts = [build_stmt(ctx, s) for s in stmts]
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 125, in <listcomp>
stmts = [build_stmt(ctx, s) for s in stmts]
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 185, in __call__
return method(ctx, node)
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 288, in build_Return
return Return(r, None if stmt.value is None else build_expr(ctx, stmt.value))
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 185, in __call__
return method(ctx, node)
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 422, in build_Call
kw_expr = build_expr(ctx, kw.value)
File "/Users/btv/pysandbox/lib/python3.8/site-packages/torch/jit/frontend.py", line 184, in __call__
raise UnsupportedNodeError(ctx, node)
torch.jit.frontend.UnsupportedNodeError: Constant aren't supported
at ./test.py:4:29
@torch.jit.script
def foo(x):
return torch.sum(x, dim=1)
~ <--- HERE
Expected behavior
Environment
Collecting environment information...
PyTorch version: 1.2.0a0+b527e48
Is debug build: Yes
CUDA used to build PyTorch: None
OS: Mac OSX 10.14.4
GCC version: Could not collect
CMake version: version 3.12.4
Python version: 3.8
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Versions of relevant libraries:
[pip] Could not collect
[conda] Could not collect
Additional context
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high priorityoncall: 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