class ConcatDataset (torch. utils. data. Dataset): def __init__ ... For example, it may save memory to use Truncated Backpropagation Through Time when training RNNs. Lightning can handle TBPTT automatically via this flag. from pytorch_lightning import LightningModule class MyModel ...
pytorch/torch/utils/data/dataset.py ... All datasets that represent a map from keys to data samples should subclass ... return ConcatDataset([self, other]).
All subclasses should overwrite :meth:`__iter__`, which would return an iterator of samples in this dataset. When a subclass is used with :class:`~torch.utils.data.DataLoader`, each item in the dataset will be yielded from the :class:`~torch.utils.data.DataLoader` iterator.
Concatenating datasets. It is clear that the need will arise to join datasets—we can do this with the torch.utils.data.ConcatDataset class.ConcatDataset takes a list of datasets and returns a concatenated dataset. In the following example, we add two more transforms, removing the blue and green color channel.
It is clear that the need will arise to join datasets—we can do this with the torch.utils.data.ConcatDataset class. ConcatDataset takes a list of datasets and ...
Each sample will be retrieved by indexing tensors along the first dimension. Parameters *tensors – tensors that have the same size of the first dimension. class torch.utils.data. ConcatDataset (datasets) [source] ¶ Dataset as a concatenation of multiple datasets. This class is useful to assemble different existing datasets. Parameters
29.07.2019 · Hi 🙂 I have a rather small image dataset and want want to augment my training images. However I want the training-dataloader to use unaugmented images as well as augmented images. For that I am using the ConcatDataset-class. I also want to use WeightedRandomSampler, because some classes have more images than others, the amounts …
The following are 30 code examples for showing how to use torch.utils.data.ConcatDataset().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
The following are 7 code examples for showing how to use torch.utils.data.dataset.ConcatDataset().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
05.11.2019 · final_dataset = torch.utils.data.ConcatDataset(all_datasets) train_loader = data.DataLoader ... For example: I grab 150 images from folder 1, ... I tried reading the code for ConcatDataset but I can’t understand whether the order of my data willl be preserved or not.
12.10.2019 · ConcatDataset is a custom class that is subclassed from torch.utils.data.Dataset.Let's take a look at one example. class ConcatDataset(torch.utils.data.Dataset): def ...
04.03.2019 · Let’s say I have two datasets such as MNIST and SVHN. I can use ConcatDataset to concatenate these, however, for each iteration, I need half the batch size MNIST images and the other half SVHN. I am now able to do this by this hack here- So, I have to artificially blow up the size of the dataset. Instead, from the ConcatDataset, if I can sample efficiently such that I get …