fromtaming.modules.losses.lpipsimportOCR_CRAFT_LPIPSfromPILimportImageimportnumpyasnpimporttorchvision.transformsasTimporttorchdefget_image_tensor(image_path):image=Image.open(image_path)ifnotimage.mode=="RGB":image=image.convert("RGB")image=np.array(image).astype(np.uint8)image=(image/127.5-1.0)...
* Changes related to OVERRIDE_PACKAGE_VERSION in aarch64 builds (pytorch#1520) (pytorch#1523) * Torchmetrics in S3 Index (pytorch#1522) We will need the stable torchmetrics wheel in the S3 index, since torchrec depends on it. This is similar to how pytorch depends on numpy, etc. and ...
utils.data import DataLoader from torch.utils.data.sampler import SubsetRandomSampler from dataloader import DailyDialogueDataset2 from model import MaskedNLLLoss, LSTMModel, GRUModel, DialogRNNModel, DialogueGCNModel, DialogueGCN_DailyModel from sklearn.metrics import f1_score, confusion_matrix, accuracy...
x_target (torch.Tensor): Target batch of embeddings with shape [B, emb_dim]. return_similarities (Optional[bool]): Whether to return similarity matrix. Defaults to False.Returns: List[torch.Tensor]: Various retrieval metrics: R@1, R@5, and MRR. @@ -198,4 +199,7 @@ def retrieval_...