return dataset, processor.relation_labels, processor.num_label, processor.id2label, processor.label2id, size AttributeError: 'SemEvalProcessor' object has no attribute 'num_label' The text was updated successfully, but these errors were encountered:
AttributeError: 'DataLoader' object has no attribute 'size' -> nbatch = len (data.size). image.py line 9, if args == 'cifar' -> if args == 'data/cifar'.
07.05.2021 · I have a 3 file. In the datamodule file, I have created data and used the basic format of the PyTorch Lightning. In the linear_model I made a linear regression model based on this page. Finally, I ...
Feb 19, 2020 · 2. This answer is not useful. Show activity on this post. You should add the attribute c into your NumbersDataset, like this: def __init__ (self, inputs, labels, c): self.inputs = inputs self.labels = labels self.c = c. Share. Follow this answer to receive notifications. answered Jun 3 '20 at 9:52. Minh Dang.
issue - AttributeError: 'list' object has no attribute 'shape' LPOT Version: 1.4 Installation: source Environment: Google Colab Framework: ONNX (as specified in requirements.txt in the example). I used a common dataloader to load my own dataset in main.py (using numpy array to store the data) as below:. tuneDataset = Dataset('tune') evalDataset = Dataset('eval') quantize = …
22.07.2021 · # previous_previous_cell_output = c_{k-2} # previous_cell_output = c{k-1} self.nodes = [Node(stride) for i in range(NUM_OF_NODES_IN_EACH_CELL)] # just for variables initialization self.previous_cell = 0 self.previous_previous_cell = 0 self.output = 0 for n in range(NUM_OF_NODES_IN_EACH_CELL): # 'add' then 'concat' feature maps from different …
Apr 04, 2021 · However, if you’re lucky enough to have all outputs of identical structure, it will work for a while. The new collate function you define apply longtensor to all targets, which cancels the difference between two kinds of outputs, I guess. import torch a = [1,torch.tensor (2)] print (torch.LongTensor (a)) And this will yield tensor ( [1, 2]).
Oct 07, 2019 · AttributeError: 'list' object has no attribute 'dim' when predicting in pytorch ... torch.utils.data.DataLoader(train_ds, batch_size=1, shuffle=True) # setting device ...
Dec 09, 2020 · You could wrap the train_data_tensor (your CustomDataSet) directly in a DataLoader. 1 Like akib62 (Akib Rahman) December 9, 2020, 6:50am
09.06.2020 · Now we can create a DataLoader out of this. Refer documentation for **kwargs. train_loader = torch.utils.data.DataLoader(train_dataset, batch_size, shuffle=True) And this train_loader is kind of a python generator, so you can’t just …
04.04.2021 · However, if you’re lucky enough to have all outputs of identical structure, it will work for a while. The new collate function you define apply longtensor to all targets, which cancels the difference between two kinds of outputs, I guess. import torch a = [1,torch.tensor (2)] print (torch.LongTensor (a)) And this will yield tensor ( [1, 2]).
Jun 09, 2020 · Now we can create a DataLoader out of this. Refer documentation for **kwargs. train_loader = torch.utils.data.DataLoader(train_dataset, batch_size, shuffle=True) And this train_loader is kind of a python generator, so you can’t just input this directly into the model.forward. (You have to iterate this train_loader)
Jul 13, 2020 · 🐛 Bug Thanks for all the great work, PyTorch Geometric is a fantastic library! I would like to use the NeighborSampler for mini-batch training on a large graph. I tried to adapt the script here but received the following error: Traceback...