mindspore.dataset.transforms.c_transforms.PadEnd
- class mindspore.dataset.transforms.c_transforms.PadEnd(pad_shape, pad_value=None)[source]
Pad input tensor according to pad_shape, input tensor needs to have same rank.
- Parameters
pad_shape (list(int)) – List of integers representing the shape needed. Dimensions that set to None will not be padded (i.e., original dim will be used). Shorter dimensions will truncate the values.
pad_value (Union[str, bytes, int, float, bool], optional) – Value used to pad. Default to 0 or empty string in case of tensors of strings.
Examples
>>> # Data before >>> # | col | >>> # +---------+ >>> # | [1,2,3] | >>> # +---------| >>> data = [[1, 2, 3]] >>> numpy_slices_dataset = ds.NumpySlicesDataset(data, ["col"]) >>> numpy_slices_dataset = numpy_slices_dataset.map(operations=c_transforms.PadEnd(pad_shape=[4], ... pad_value=10)) >>> # Data after >>> # | col | >>> # +------------+ >>> # | [1,2,3,10] | >>> # +------------|