ai-docstring
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graykode
Error code 500
Describe the bug
Successfully ran docker line for gpu machine using normal docker.
docker run -it -d --gpus 0 -p 5000:5000 graykode/ai-docstring
Extension activates but then encounters error code 500
Versions (please complete the following information):
- autoDocstring Version:
- Operating System:
- Vscode Version:
Original Code (with line to generate on):
def gaussDeriv2D(sigma):
# generate on this line
# Your code to generate Gx and Gy here. use partial dervitive of gaussian equations
Gy = sigma * 5
Gx = sigma * 3
return Gx, Gy
Expected Result:
"""
Docstring generated
"""
Actual Result: """AI is creating summary for gaussDeriv2D
Args:
sigma ([type]): [description]
Returns:
[type]: [description]
"""
Stack trace:
[INFO 23:26:14.797] Generating Docstring at line: 1
[INFO 23:26:14.797] Docstring generated:
"""${1:AI is creating summary for gaussDeriv2D}
Args:
sigma (${2:[type]}): ${3:[description]}
Returns:
${4:[type]}: ${5:[description]}
"""
[INFO 23:26:14.797] Inserting at position: 1 0
[INFO 23:26:14.811] Successfully inserted docstring
[ERROR 23:26:14.837] Error: Request failed with status code 500
Additional context Add any other context about the problem here.
When running on WSL terminal (Ubuntu) I get Socket hung up error instead of code 500
Installed nvidia docker on WSL ubuntu 20.04 and opened container. Turns out my GPU is too new. I don't know how to fix this
2023-09-07 00:21:59 09/07/2023 04:21:59 - INFO - utils - Namespace(beam_size=10, device=device(type='cuda'), device_name='cuda', host='0.0.0.0', max_source_length=512, max_target_length=128, no_cuda=False, port=5000)
2023-09-07 00:21:59 09/07/2023 04:21:59 - INFO - filelock - Lock 139890302154512 acquired on /root/.cache/torch/transformers/1b62771d5f5169b34713b0af1ab85d80e11f7b1812fbf3ee7d03a866c5f58e72.06eb31f0a63f4e8a136733ccac422f0abf9ffa87c3e61104b57e7075a704d008.lock
Downloading: 0%| Downloading: 100%|##############################################################################################################################################| 498/498 [00:00<00:00, 469kB/s]
2023-09-07 00:21:59 09/07/2023 04:21:59 - INFO - filelock - Lock 139890302154512 released on /root/.cache/torch/transformers/1b62771d5f5169b34713b0af1ab85d80e11f7b1812fbf3ee7d03a866c5f58e72.06eb31f0a63f4e8a136733ccac422f0abf9ffa87c3e61104b57e7075a704d008.lock
2023-09-07 00:22:00 09/07/2023 04:22:00 - INFO - filelock - Lock 139890302154512 acquired on /root/.cache/torch/transformers/aca4dbdf4f074d4e071c2664901fec33c8aa69c35aa0101bc669ed4b44d1f6c3.6a4061e8fc00057d21d80413635a86fdcf55b6e7594ad9e25257d2f99a02f4be.lock
Downloading: 0%| Downloading: 8%|##########6 Downloading: 40%|########################################################1 Downloading: 83%|##################################################################################################################9 Downloading: 100%|###########################################################################################################################################| 899k/899k [00:00<00:00, 2.58MB/s]
2023-09-07 00:22:00 09/07/2023 04:22:00 - INFO - filelock - Lock 139890302154512 released on /root/.cache/torch/transformers/aca4dbdf4f074d4e071c2664901fec33c8aa69c35aa0101bc669ed4b44d1f6c3.6a4061e8fc00057d21d80413635a86fdcf55b6e7594ad9e25257d2f99a02f4be.lock
2023-09-07 00:22:00 09/07/2023 04:22:00 - INFO - filelock - Lock 139890830138672 acquired on /root/.cache/torch/transformers/779a2f0c38ba2ff65d9a3ee23e58db9568f44a20865c412365e3dc540f01743f.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.lock
Downloading: 0%| Downloading: 27%|#####################################3 Downloading: 100%|###########################################################################################################################################| 456k/456k [00:00<00:00, 2.24MB/s]
2023-09-07 00:22:01 09/07/2023 04:22:01 - INFO - filelock - Lock 139890830138672 released on /root/.cache/torch/transformers/779a2f0c38ba2ff65d9a3ee23e58db9568f44a20865c412365e3dc540f01743f.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.lock
2023-09-07 00:22:01 09/07/2023 04:22:01 - INFO - filelock - Lock 139890830138672 acquired on /root/.cache/torch/transformers/5a191080da4f00859b5d3d29529f57894583e00ab07b7c940d65c33db4b25d4d.16f949018cf247a2ea7465a74ca9a292212875e5fd72f969e0807011e7f192e4.lock
Downloading: 0%| Downloading: 100%|##############################################################################################################################################| 150/150 [00:00<00:00, 107kB/s]
2023-09-07 00:22:02 09/07/2023 04:22:02 - INFO - filelock - Lock 139890830138672 released on /root/.cache/torch/transformers/5a191080da4f00859b5d3d29529f57894583e00ab07b7c940d65c33db4b25d4d.16f949018cf247a2ea7465a74ca9a292212875e5fd72f969e0807011e7f192e4.lock
2023-09-07 00:22:02 09/07/2023 04:22:02 - INFO - filelock - Lock 139890302154512 acquired on /root/.cache/torch/transformers/1b4723c5fb2d933e11c399450ea233aaf33f093b5cbef3ec864624735380e490.70b5dbd5d3b9b4c9bfb3d1f6464291ff52f6a8d96358899aa3834e173b45092d.lock
Downloading: 0%| Downloading: 100%|###########################################################################################################################################| 25.0/25.0 [00:00<00:00, 18.7kB/s]
2023-09-07 00:22:02 09/07/2023 04:22:02 - INFO - filelock - Lock 139890302154512 released on /root/.cache/torch/transformers/1b4723c5fb2d933e11c399450ea233aaf33f093b5cbef3ec864624735380e490.70b5dbd5d3b9b4c9bfb3d1f6464291ff52f6a8d96358899aa3834e173b45092d.lock
2023-09-07 00:22:07 /usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py:125: UserWarning:
2023-09-07 00:22:07 NVIDIA GeForce RTX 3060 Laptop GPU with CUDA capability sm_86 is not compatible with the current PyTorch installation.
2023-09-07 00:22:07 The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70 sm_75.
2023-09-07 00:22:07 If you want to use the NVIDIA GeForce RTX 3060 Laptop GPU GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
2023-09-07 00:22:07
2023-09-07 00:22:07 warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
2023-09-07 00:22:09 * Serving Flask app "app" (lazy loading)
2023-09-07 00:22:09 * Environment: production
2023-09-07 00:22:09 WARNING: This is a development server. Do not use it in a production deployment.
2023-09-07 00:22:09 Use a production WSGI server instead.
2023-09-07 00:22:09 * Debug mode: on
2023-09-07 00:22:09 09/07/2023 04:22:09 - INFO - werkzeug - * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
2023-09-07 00:22:09 09/07/2023 04:22:09 - INFO - werkzeug - * Restarting with stat
2023-09-07 00:22:10 09/07/2023 04:22:10 - INFO - utils - Namespace(beam_size=10, device=device(type='cuda'), device_name='cuda', host='0.0.0.0', max_source_length=512, max_target_length=128, no_cuda=False, port=5000)
2023-09-07 00:22:15 /usr/local/lib/python3.6/dist-packages/torch/cuda/__init__.py:125: UserWarning:
2023-09-07 00:22:15 NVIDIA GeForce RTX 3060 Laptop GPU with CUDA capability sm_86 is not compatible with the current PyTorch installation.
2023-09-07 00:22:15 The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70 sm_75.
2023-09-07 00:22:15 If you want to use the NVIDIA GeForce RTX 3060 Laptop GPU GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
2023-09-07 00:22:15
2023-09-07 00:22:15 warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
2023-09-07 00:22:15 09/07/2023 04:22:15 - WARNING - werkzeug - * Debugger is active!
2023-09-07 00:22:15 09/07/2023 04:22:15 - INFO - werkzeug - * Debugger PIN: 195-397-013