|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3549.) |
|
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] |
|
Some weights of BertModel were not initialized from the model checkpoint at checkpoints/bert-base-uncased and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight'] |
|
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. |
|
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... |
|
To disable this warning, you can either: |
|
- Avoid using `tokenizers` before the fork if possible |
|
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3549.) |
|
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] |
|
Some weights of BertModel were not initialized from the model checkpoint at checkpoints/bert-base-uncased and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight'] |
|
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
Running on local URL: http: |
|
Traceback (most recent call last): |
|
File "/home/niki/gradio-tutorial/app.py", line 230, in <module> |
|
demo.launch(share=True, allowed_paths=['teaser-gradio.jpg']) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/gradio/blocks.py", line 2441, in launch |
|
share_url = networking.setup_tunnel( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/gradio/networking.py", line 31, in setup_tunnel |
|
response = httpx.get(GRADIO_API_SERVER, timeout=30) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_api.py", line 198, in get |
|
return request( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_api.py", line 106, in request |
|
return client.request( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_client.py", line 827, in request |
|
return self.send(request, auth=auth, follow_redirects=follow_redirects) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_client.py", line 914, in send |
|
response = self._send_handling_auth( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_client.py", line 942, in _send_handling_auth |
|
response = self._send_handling_redirects( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_client.py", line 979, in _send_handling_redirects |
|
response = self._send_single_request(request) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_client.py", line 1015, in _send_single_request |
|
response = transport.handle_request(request) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpx/_transports/default.py", line 233, in handle_request |
|
resp = self._pool.handle_request(req) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_sync/connection_pool.py", line 216, in handle_request |
|
raise exc from None |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_sync/connection_pool.py", line 196, in handle_request |
|
response = connection.handle_request( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_sync/connection.py", line 99, in handle_request |
|
raise exc |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_sync/connection.py", line 76, in handle_request |
|
stream = self._connect(request) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_sync/connection.py", line 154, in _connect |
|
stream = stream.start_tls(**kwargs) |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/httpcore/_backends/sync.py", line 163, in start_tls |
|
sock = ssl_context.wrap_socket( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/ssl.py", line 501, in wrap_socket |
|
return self.sslsocket_class._create( |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/ssl.py", line 1074, in _create |
|
self.do_handshake() |
|
File "/home/niki/anaconda3/envs/gradio/lib/python3.9/ssl.py", line 1343, in do_handshake |
|
self._sslobj.do_handshake() |
|
KeyboardInterrupt |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3549.) |
|
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
Some weights of BertModel were not initialized from the model checkpoint at checkpoints/bert-base-uncased and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight'] |
|
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
Running on local URL: http: |
|
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... |
|
To disable this warning, you can either: |
|
- Avoid using `tokenizers` before the fork if possible |
|
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) |
|
Running on public URL: https: |
|
|
|
This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https: |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'cat', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'sign', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'cushion', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'cupboard', '##s', '.', '[SEP]'] |
|
[0, 1, 2, 3, 4] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 5]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'laptop', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'finger', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'bird', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'dog', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[[712.0, 192.0, 876.0, 368.0]] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[659.0945, 177.7778, 810.9083, 340.7407]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', '.', '[SEP]'] |
|
[0, 1, 2] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 3]) |
|
[[712.0, 192.0, 876.0, 368.0], [525.0, 438.0, 631.0, 517.0], [918.0, 377.0, 1028.0, 474.0]] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[659.0945, 177.7778, 810.9083, 340.7407], |
|
[485.9896, 405.5555, 584.1132, 478.7037], |
|
[849.7875, 349.0741, 951.6139, 438.8889]], device='cuda:0')] |
|
3 |
|
tensor([[ 101, 1008, 1008, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', '.', '[SEP]'] |
|
[0, 1, 2] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 3]) |
|
[[712.0, 192.0, 876.0, 368.0], [525.0, 438.0, 631.0, 517.0], [918.0, 377.0, 1028.0, 474.0]] |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/transformers/modeling_utils.py:977: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/home/niki/anaconda3/envs/gradio/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[659.0945, 177.7778, 810.9083, 340.7407], |
|
[485.9896, 405.5555, 584.1132, 478.7037], |
|
[849.7875, 349.0741, 951.6139, 438.8889]], device='cuda:0')] |
|
3 |
|
tensor([[ 101, 3899, 1008, 1008, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'dog', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/functional.py:512: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3587.) |
|
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
Some weights of BertModel were not initialized from the model checkpoint at checkpoints/bert-base-uncased and are newly initialized: ['pooler.dense.bias', 'pooler.dense.weight'] |
|
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. |
|
final text_encoder_type: checkpoints/bert-base-uncased |
|
load tokenizer done. |
|
Running on local URL: http: |
|
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... |
|
To disable this warning, you can either: |
|
- Avoid using `tokenizers` before the fork if possible |
|
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) |
|
Running on public URL: https: |
|
|
|
This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https: |
|
state: [<AppSteps.JUST_TEXT: 1>] |
|
[] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
['[CLS]', 'strawberry', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
state: [<AppSteps.JUST_TEXT: 1>, <AppSteps.TEXT_AND_EXEMPLARS: 2>] |
|
[[161.0, 69.0, 205.0, 127.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[335.3581, 143.7500, 427.0087, 264.5833]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 16876, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'strawberry', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'fish', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[[382.0, 14.0, 476.0, 60.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[570.8486, 20.9346, 711.3192, 89.7196]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 3869, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'fish', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[[382.0, 14.0, 476.0, 60.0], [320.0, 410.0, 447.0, 475.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[570.8486, 20.9346, 711.3192, 89.7196], |
|
[478.1978, 613.0841, 667.9825, 710.2804]], device='cuda:0')] |
|
2 |
|
tensor([[ 101, 3869, 1008, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'fish', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'deer', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[[181.0, 51.0, 266.0, 131.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[376.7822, 106.2500, 553.7242, 272.9167]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 8448, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'deer', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
[[181.0, 51.0, 266.0, 131.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[376.7822, 106.2500, 553.7242, 272.9167]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 8448, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'deer', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
state: [<AppSteps.JUST_TEXT: 1>] |
|
[] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([], device='cuda:0')] |
|
0 |
|
['[CLS]', 'strawberry', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
state: [<AppSteps.JUST_TEXT: 1>, <AppSteps.TEXT_AND_EXEMPLARS: 2>] |
|
[[153.0, 75.0, 212.0, 141.0]] |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/transformers/modeling_utils.py:1052: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:464: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants. |
|
warnings.warn( |
|
/scratch/shared/beegfs/nikian/anaconda/envs/countgd-app/lib/python3.9/site-packages/torch/utils/checkpoint.py:91: UserWarning: None of the inputs have requires_grad=True. Gradients will be None |
|
warnings.warn( |
|
[tensor([[318.6943, 156.2500, 441.5895, 293.7500]], device='cuda:0')] |
|
1 |
|
tensor([[ 101, 16876, 1008, 1012, 102]], device='cuda:0') |
|
['[CLS]', 'strawberry', '.', '[SEP]'] |
|
[0, 1, 2, 3] |
|
torch.Size([900, 256]) |
|
torch.Size([900, 4]) |
|
|
