CUDA_LAUNCH_BLOCKING=1 python3 -m scripts.vid2vid --config ./configs/prompts/animation_f
acereenac.yaml -W 512 -H 512
/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
Some weights of the model checkpoint were not used when initializing UNet2DConditionModel:
['conv_norm_out.weight, conv_norm_out.bias, conv_out.weight, conv_out.bias']
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1711701676.709502 1816 task_runner.cc:85] GPU suport is not available: INTERNAL: ; RET_CHECK failure (mediapipe/gpu/gl_context_egl.cc:84) egl_initializedUnable to initialize EGL
W0000 00:00:1711701676.709832 1816 face_landmarker_graph.cc:174] Sets FaceBlendshapesGraph acceleration to xnnpack by default.
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
I0000 00:00:1711701676.725945 1816 task_runner.cc:85] GPU suport is not available: INTERNAL: ; RET_CHECK failure (mediapipe/gpu/gl_context_egl.cc:84) egl_initializedUnable to initialize EGL
source video has 1202 frames, with 25 fps
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Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/workspace/scripts/vid2vid.py", line 233, in
main()
File "/workspace/scripts/vid2vid.py", line 200, in main
video = pipe(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/workspace/src/pipelines/pipeline_pose2vid_long.py", line 532, in call
torch.cat([pose_cond_tensor[:, :, c] for c in context])
File "/workspace/src/pipelines/pipeline_pose2vid_long.py", line 532, in
torch.cat([pose_cond_tensor[:, :, c] for c in context])
RuntimeError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA
to enable device-side assertions.