torch.as_tensor¶ torch. as_tensor (data, dtype = None, device = None) → Tensor ¶ Convert the data into a torch.Tensor.If the data is already a Tensor with the same dtype and device, no copy will be performed, otherwise a new Tensor will be returned with computational graph retained if data Tensor has requires_grad=True.Similarly, if the data is an ndarray of the corresponding …
06.04.2020 · Variables data, images, and targets are all of class tuple Traceback (most recent call last): File "train.py", line 40, in <module> images = images.to(device) AttributeError: 'tuple' object has no attribute 'to'
10.01.2020 · I am working on an image object detection application using PyTorch torchvision.models.detection.fasterrcnn_resnet50_fpn. As indicated by the documentation, during training phase, the input to fasterrcnn_resnet50_fpn model should be: - list of image tensors, each of shape [C, H, W] - list of target dicts, each with: - boxes (FloatTensor[N, 4]): the ground-truth …
torch.Size is in fact a tuple, so it supports the same operations ... LongTensor a = torch.full((10,), 3, device=torch.device("cuda")) print(type(a)) b ...
19.06.2021 · 10. imgs = imgs.to(device) #imgs type <class ‘torch.Tensor’> —> 11 labels = labels.to(device) #labels type <class ‘torch.Tensor’> AttributeError: ‘tuple’ object has no attribute ‘to’ Both are Tensor type, there is not tuple type. I try …
07.09.2018 · After fetching each tensor from dataloader, I need to feed to GPU, I should use the to function . if Dataloader add a parameter like device="cuda", then each tensor would be the torch.cuda.Tensor type, it will be more friendly. cc @SsnL
17.09.2020 · Motivation. (Note i already ask on pytorch forum but without luck, hope i m in the right place and you have time to have a look) The input of the decoder have the form List (List (Tensor)) where list have variable size and some dim of tensor is also dynamic. The output have the form Tuple (List (Tensor),List (Tensor)) where list have variable ...
move_to_device¶ · x (dictionary of list of tensors) – object (e.g. dictionary) of tensors to move to device · device (Union[str, torch.DeviceObjType]) – device, ...
03.07.2019 · h0 = torch.randn(self.num_layers2, int(x.size(0)), self.hidden_size).to(device) # 2 for bidirection c0 = torch.randn(self.num_layers2, int(x.size(0)), self.hidden_size).to(device). In this line you try to find the size of x, but x is a tuple I’m guessing.
torch. as_tensor (data, dtype=None, device=None) → Tensor. Convert the data into a torch ... Can be a list, tuple, NumPy ndarray , scalar, and other types.