samet-akcay
commented
2 weeks ago @zhongxiaj, I'm not sure if this is related to Anomalib itself. It is probably a connection issue regarding your local machine and/or server. Can you double check and re-create this issue again? Thanks!
Describe the bug
Trainer already configured with model summary callbacks: [<class 'lightning.pytorch.callbacks.rich_model_summary.RichModelSummary'>]. Skipping setting a default
ModelSummarycallback. GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores HPU available: False, using: 0 HPUs You are using a CUDA device ('NVIDIA GeForce RTX 4090') that has Tensor Cores. To properly utilize them, you should settorch.set_float32_matmul_precision('medium' | 'high')which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision F1Score class exists for backwards compatibility. It will be removed in v1.1. Please use BinaryF1Score from torchmetrics instead F1Score class exists for backwards compatibility. It will be removed in v1.1. Please use BinaryF1Score from torchmetrics instead Traceback (most recent call last): File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connectionpool.py", line 466, in _make_request self._validate_conn(conn) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1095, in _validate_conn conn.connect() File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connection.py", line 652, in connect sock_and_verified = _ssl_wrap_socket_and_match_hostname( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connection.py", line 805, in _ssl_wrap_socket_and_match_hostname ssl_sock = ssl_wrapsocket( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/util/ssl.py", line 465, in ssl_wrap_socket ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_in_tls, serverhostname) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/util/ssl.py", line 509, in _ssl_wrap_socket_impl return ssl_context.wrap_socket(sock, server_hostname=server_hostname) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 512, in wrap_socket return self.sslsocket_class._create( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 1070, in _create self.do_handshake() File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 1341, in do_handshake self._sslobj.do_handshake() ssl.SSLError: [SSL: SSLV3_ALERT_HANDSHAKE_FAILURE] sslv3 alert handshake failure (_ssl.c:997)Dataset
Other (please specify in the text field below)
Model
FastFlow
Steps to reproduce the behavior
i just train on my own datasets, the training is ok ,but when I inference , occur the question
OS information
Trainer already configured with model summary callbacks: [<class 'lightning.pytorch.callbacks.rich_model_summary.RichModelSummary'>]. Skipping setting a default
ModelSummarycallback. GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores HPU available: False, using: 0 HPUsExpected behavior
Trainer already configured with model summary callbacks: [<class 'lightning.pytorch.callbacks.rich_model_summary.RichModelSummary'>]. Skipping setting a default
ModelSummarycallback. GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores HPU available: False, using: 0 HPUs You are using a CUDA device ('NVIDIA GeForce RTX 4090') that has Tensor Cores. To properly utilize them, you should settorch.set_float32_matmul_precision('medium' | 'high')which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision F1Score class exists for backwards compatibility. It will be removed in v1.1. Please use BinaryF1Score from torchmetrics instead F1Score class exists for backwards compatibility. It will be removed in v1.1. Please use BinaryF1Score from torchmetrics instead Traceback (most recent call last): File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connectionpool.py", line 466, in _make_request self._validate_conn(conn) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1095, in _validate_conn conn.connect() File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connection.py", line 652, in connect sock_and_verified = _ssl_wrap_socket_and_match_hostname( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/connection.py", line 805, in _ssl_wrap_socket_and_match_hostname ssl_sock = ssl_wrapsocket( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/util/ssl.py", line 465, in ssl_wrap_socket ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_in_tls, serverhostname) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/site-packages/urllib3/util/ssl.py", line 509, in _ssl_wrap_socket_impl return ssl_context.wrap_socket(sock, server_hostname=server_hostname) File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 512, in wrap_socket return self.sslsocket_class._create( File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 1070, in _create self.do_handshake() File "/home/kexin/anaconda3/envs/py310/lib/python3.10/ssl.py", line 1341, in do_handshake self._sslobj.do_handshake() ssl.SSLError: [SSL: SSLV3_ALERT_HANDSHAKE_FAILURE] sslv3 alert handshake failure (_ssl.c:997)Screenshots
Pip/GitHub
pip
What version/branch did you use?
1.1
Configuration YAML
Logs
Code of Conduct