segmentation-models-pytorch - PyPI
https://pypi.org/project/segmentation-models-pytorch18.11.2021 · Segmentation model is just a PyTorch nn.Module, which can be created as easy as: import segmentation_models_pytorch as smp model = smp.Unet( encoder_name="resnet34", # choose encoder, e.g. mobilenet_v2 or efficientnet-b7 encoder_weights="imagenet", # use `imagenet` pre-trained weights for encoder initialization in_channels=1, # model input ...
Segmentation fault in DataLoader worker in PyTorch …
25.03.2021 · A segmentation fault occurs if one uses DataLoader with num_workers > 0 after calling set_num_threads with a sufficiently high value. I observed this behaviour in PyTorch 1.8.0 and 1.8.1, but I am unable to …
Segmentation fault in PyTorch dataloader · Issue #54716 ...
github.com › pytorch › pytorchMar 25, 2021 · Segmentation fault in PyTorch dataloader #54716 Bug I encountered a segmentation fault error when running the program Vamb and the developer suggested it was related to the C or C++ implementation of pytorch's dataloader. This error arose when running the Snakemake workflow for Vamb, specifically in the rule that runs the Vamb program itself.
Segmentation fault - PyTorch Forums
20.08.2018 · Segmentation fault. I used pytorch to train a cnn+ctc OCR model whose input images with increasing width size. Every time at 95-99% of first epoch, the system crashed with little information (Segmentation fault). I am …
Segmentation fault - PyTorch Forums
discuss.pytorch.org › t › segmentation-faultAug 20, 2018 · Segmentation fault perry_wu August 20, 2018, 7:51am #1 I used pytorch to train a cnn+ctc OCR model whose input images with increasing width size. Every time at 95-99% of first epoch, the system crashed with little information (Segmentation fault). I am sure the GPU and CPU memory were enough. I used gdb to debug, and infos show below.