NeuralTSNE.Utils.Loaders.LabelLoaders package
Submodules
NeuralTSNE.Utils.Loaders.LabelLoaders.label_loaders module
- load_labels(labels: TextIOWrapper) Tensor | None [source]View on GitHub
Load labels from a text file into a torch.Tensor.
The function reads labels from the provided text file and converts them into a torch.Tensor of type float. If the labels parameter is not provided or the file is empty, the function returns None.
- Parameters:
labels (io.TextIOWrapper) – The file object containing labels to be loaded.
- Returns:
A torch.Tensor containing loaded labels or None if no labels are available.
- Return type:
torch.Tensor | None
Note
The function expects the labels parameter to be a file object (io.TextIOWrapper) with labels in text format.
If the file is not provided or is empty, the function returns None.
The labels are read from the file using numpy and then converted to a torch.Tensor of type float.