You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
(ai-0401)yinsun@se02ln001:~/tmp/txp$ python test.py
Traceback (most recent call last):
File "test.py", line 10, in <module>
graph = tracer.trace(test)
File "/home/sa/ac-ap-ci/.conda/envs/ai-0401/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 566, in trace
self.create_node('output', 'output', (self.create_arg(fn(*args)),), {},
File "test.py", line 6, in test
assert (H, W) == (2, 3), 'haha'
File "/home/sa/ac-ap-ci/.conda/envs/ai-0401/lib/python3.8/site-packages/torch/fx/proxy.py", line 278, in __bool__
return self.tracer.to_bool(self)
File "/home/sa/ac-ap-ci/.conda/envs/ai-0401/lib/python3.8/site-packages/torch/fx/proxy.py", line 154, in to_bool
raise TraceError('symbolically traced variables cannot be used as inputs to control flow')
torch.fx.proxy.TraceError: symbolically traced variables cannot be used as inputs to control flow
Versions
(ai-0401)yinsun@se02ln001:~/tmp/txp$ python collect_env.py
Collecting environment information...
PyTorch version: 1.11.0a0+gitbc2c6ed
Is debug build: False
CUDA used to build PyTorch: 11.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.3 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: 14.0.6 (https://github.com/conda-forge/clangdev-feedstock 28f7809e7f4286b203af212a154f5a8327bd6fd6)
CMake version: version 3.19.1
Libc version: glibc-2.31
Python version: 3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:04:10) [GCC 10.3.0] (64-bit runtime)
Python platform: Linux-5.4.0-64-generic-x86_64-with-glibc2.10
Is CUDA available: False
CUDA runtime version: 11.4.120
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.19.5
[pip3] pytorch3d==0.6.2
[pip3] torch==1.11.0+bc2c6ed.cuda114.cudnn841.se02s03.ap
[pip3] torch-scatter==2.0.8
[pip3] torch-tb-profiler==0.4.0
[pip3] torchfile==0.1.0
[pip3] torchvision==0.9.0a0+8fb5838
[conda] magma-cuda111 2.5.2 1 pytorch
[conda] mkl 2020.4 h726a3e6_304 conda-forge
[conda] mkl-include 2022.1.0 h84fe81f_915 conda-forge
[conda] numpy 1.19.5 py38h8246c76_3 conda-forge
[conda] pytorch3d 0.6.2 pypi_0 pypi
[conda] torch 1.11.0+bc2c6ed.cuda114.cudnn841.se02s03.ap pypi_0 pypi
[conda] torch-scatter 2.0.8 pypi_0 pypi
[conda] torch-tb-profiler 0.4.0 pypi_0 pypi
[conda] torchfile 0.1.0 pypi_0 pypi
[conda] torchvision 0.9.0a0+8fb5838 pypi_0 pypi
馃悰 Describe the bug
torch fx cannot trace assert for some cases.
It failed for this case.
Versions
cc @ezyang @SherlockNoMad @soumith
The text was updated successfully, but these errors were encountered: