NameError: name '_C' is not defined

[LayanNCAI]

Error:
NameError: name '_C' is not defined

Full traceback:

warnings.warn(
/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
Traceback (most recent call last):
File "/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/gradio/routes.py", line 393, in run_predict
output = await app.get_blocks().process_api(
File "/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/gradio/blocks.py", line 1108, in process_api
result = await self.call_function(
File "/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/gradio/blocks.py", line 915, in call_function
prediction = await anyio.to_thread.run_sync(
File "/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/home/alabl0a/miniconda3/envs/detgpt/lib/python3.9/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/user/user/DetGPT/demo_detgpt.py", line 165, in run_grounding
boxes, logits, phrases = predict(detector, image_tensor, categories, box_threshold, text_threshold,
File "/user/user/DetGPT/GroundingDINO/groundingdino/util/inference.py", line 66, in predict
outputs = model(image[None], captions=[caption])
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 313, in forward
hs, reference, hs_enc, ref_enc, init_box_proposal = self.transformer(
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/transformer.py", line 258, in forward
memory, memory_text = self.encoder(
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/transformer.py", line 576, in forward
output = checkpoint.checkpoint(
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/utils/checkpoint.py", line 249, in checkpoint
return CheckpointFunction.apply(function, preserve, *args)
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/utils/checkpoint.py", line 107, in forward
outputs = run_function(*args)
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/transformer.py", line 785, in forward
src2 = self.self_attn(
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/ms_deform_attn.py", line 338, in forward
output = MultiScaleDeformableAttnFunction.apply(
File "/home/user/miniconda3/envs/detgpt/lib/python3.9/site-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
File "/user/user/DetGPT/GroundingDINO/groundingdino/models/GroundingDINO/ms_deform_attn.py", line 53, in forward
output = _C.ms_deform_attn_forward(

[BadrEssabri]

#8 (comment)

This solution fixed it for me.

[arbaz-pivotchain]

This occurs because as it says in code it fails to load custom C++ ops. Check your virtual environment carefully. Or make new one and use command "pip3 install -q -e ." to install every module and stuff needed