| /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]) |
|
|
