how to fix this
zachysaur opened this issue · comments
(venv) (base) F:\arc\Arc2Face-hf-main>python app.py
Traceback (most recent call last):
File "F:\arc\Arc2Face-hf-main\app.py", line 19, in
import spaces
File "F:\arc\Arc2Face-hf-main\venv\lib\site-packages\spaces_init_.py", line 10, in
from .zero.decorator import GPU
File "F:\arc\Arc2Face-hf-main\venv\lib\site-packages\spaces\zero\decorator.py", line 21, in
from .wrappers import regular_function_wrapper
File "F:\arc\Arc2Face-hf-main\venv\lib\site-packages\spaces\zero\wrappers.py", line 14, in
from multiprocessing.context import ForkProcess
ImportError: cannot import name 'ForkProcess' from 'multiprocessing.context' (C:\Users\ggrov\AppData\Local\Programs\Python\Python310\lib\multiprocessing\context.py)
(venv) (base) F:\arc\Arc2Face-hf-main>
Not sure about the error, but it seems you are running the Spaces version of the demo (which is designed to run on Spaces GPUs). Please, try the local one from this repo, or maybe remove lines 19 (import spaces) and 93 (@spaces.GPU).
ok i will try
(arc2face) F:\arc\Arc2Face-main>python gradio_demo/app.py
2024-03-30 15:25:56.5737578 [E:onnxruntime:Default, provider_bridge_ort.cc:1548 onnxruntime::TryGetProviderInfo_CUDA] D:\a_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1209 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll"
*************** EP Error ***************
EP Error D:\a_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:857 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.
when using ['CUDAExecutionProvider', 'CPUExecutionProvider']
Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying.
2024-03-30 15:26:02.4856961 [E:onnxruntime:Default, provider_bridge_ort.cc:1548 onnxruntime::TryGetProviderInfo_CUDA] D:\a_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1209 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll"
Traceback (most recent call last):
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in init
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: D:\a_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:857 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "F:\arc\Arc2Face-main\gradio_demo\app.py", line 29, in
app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\insightface\app\face_analysis.py", line 31, in init
model = model_zoo.get_model(onnx_file, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\insightface\model_zoo\model_zoo.py", line 96, in get_model
model = router.get_model(providers=providers, provider_options=provider_options)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\insightface\model_zoo\model_zoo.py", line 40, in get_model
session = PickableInferenceSession(self.onnx_file, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\insightface\model_zoo\model_zoo.py", line 25, in init
super().init(model_path, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 432, in init
raise fallback_error from e
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 427, in init
self._create_inference_session(self._fallback_providers, None)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: D:\a_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:857 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.
(arc2face) F:\arc\Arc2Face-main>
Please follow the instructions in the error message to install the correct CUDA requirements and the required paths. I think should fix the error.
Or you can avoid it by running face detection in CPU mode (as in the Spaces demo).
how i can avoid it?
You can try app = FaceAnalysis(name='antelopev2', root='./', providers=['CPUExecutionProvider']) instead of the following:
Line 29 in ee43ca6
Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\insightface\utils\transform.py:68: FutureWarning: rcond parameter will change to the default of machine precision times max(M, N) where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass rcond=None, to keep using the old, explicitly pass rcond=-1.
P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4
Traceback (most recent call last):
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\queueing.py", line 456, in call_prediction
output = await route_utils.call_process_api(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\blocks.py", line 1522, in process_api
result = await self.call_function(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\blocks.py", line 1144, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio_backends_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio_backends_asyncio.py", line 851, in run
result = context.run(func, *args)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\utils.py", line 674, in wrapper
response = f(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\utils.py", line 674, in wrapper
response = f(*args, **kwargs)
File "F:\Arcface\Arc2Face-main\gradio_demo\app.py", line 98, in generate_image
id_emb = project_face_embs(pipeline, id_emb) # pass throught the encoder
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "F:\Arcface\Arc2Face-main.\arc2face\utils.py", line 25, in project_face_embs
prompt_embeds = pipeline.text_encoder(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\Arcface\Arc2Face-main.\arc2face\models.py", line 50, in forward
encoder_outputs = self.text_model.encoder(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\transformers\models\clip\modeling_clip.py", line 656, in forward
layer_outputs = encoder_layer(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\transformers\models\clip\modeling_clip.py", line 385, in forward
hidden_states = self.layer_norm1(hidden_states)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward
return F.layer_norm(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'
Traceback (most recent call last):
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\queueing.py", line 456, in call_prediction
output = await route_utils.call_process_api(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\blocks.py", line 1522, in process_api
result = await self.call_function(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\blocks.py", line 1144, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio_backends_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\anyio_backends_asyncio.py", line 851, in run
result = context.run(func, *args)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\utils.py", line 674, in wrapper
response = f(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\utils.py", line 674, in wrapper
response = f(*args, **kwargs)
File "F:\Arcface\Arc2Face-main\gradio_demo\app.py", line 98, in generate_image
id_emb = project_face_embs(pipeline, id_emb) # pass throught the encoder
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "F:\Arcface\Arc2Face-main.\arc2face\utils.py", line 25, in project_face_embs
prompt_embeds = pipeline.text_encoder(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "F:\Arcface\Arc2Face-main.\arc2face\models.py", line 50, in forward
encoder_outputs = self.text_model.encoder(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\transformers\models\clip\modeling_clip.py", line 656, in forward
layer_outputs = encoder_layer(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\transformers\models\clip\modeling_clip.py", line 385, in forward
hidden_states = self.layer_norm1(hidden_states)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward
return F.layer_norm(
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\queueing.py", line 501, in process_events
response = await self.call_prediction(awake_events, batch)
File "C:\Users\ggrov\anaconda3\envs\arc2face\lib\site-packages\gradio\queueing.py", line 465, in call_prediction
raise Exception(str(error) if show_error else None) from error
Exception: None
i change float16 to float32 it working
(base) C:\Windows\system32>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Nov_22_10:30:42_Pacific_Standard_Time_2023
Cuda compilation tools, release 12.3, V12.3.107
Build cuda_12.3.r12.3/compiler.33567101_0
(base) C:\Windows\system32>
what i need to do exactly to have cuda working
nevermind i fixed this thank you for helping