According to the feedstock, numpy 1.20.1+ is supported in torchmetrics 1.5.1. However, according tohere, numpy 2 is not supported. Thisshould be fixedin the next torchmetrics release, but it would be nice to make surepip checkpasses for this feedstock as well. I'm trying to add a new...
Another Release!? Why? Inpypa/gh-action-pypi-publish#112, it was discovered that passing a$PATHvariable even breaks the shebang. So this version adds more safeguards to make sure it keeps working with a fully broken$PATH. Full Diff:pypa/gh-action-pypi-publish@v1.6.2...v1.6.3 v1.6.2 ...
Finally, we can construct aRunnerwith previously definedModel,DataLoader, andMetrics, with some other configs, as shown below. from torch.optim import SGD from mmengine.runner import Runner runner = Runner( model=MMResNet50(), work_dir='./work_dir', train_dataloader=train_dataloader, # a ...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
The import succeeds and the console error does not appear to impact functionality. The issue is not reproducible after downgrading totorch==2.4.1. Runningcpuinfodirectly does not return an error: $ cpuinfo Python Version: 3.10.12.final.0 (64 bit) Cpuinfo Version: 9.0.0 ... ...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...
metrics import calculate_metric from basicsr.models.base_model import BaseModel from basicsr.utils import get_root_logger, imwrite, tensor2img from basicsr.utils.registry import MODEL_REGISTRY from collections import OrderedDict from torch.nn import functional as F from torchvision.ops import roi_...