mindspore.dataset.transforms.c_transforms.Fill

class mindspore.dataset.transforms.c_transforms.Fill(fill_value)[source]

Tensor operation to fill all elements in the tensor with the specified value. The output tensor will have the same shape and type as the input tensor.

Parameters: fill_value (Union[str, bytes, int, float, bool]) – scalar value to fill the tensor with.
Raises: TypeError – If fill_value is not of type str, float, bool, int or bytes.

Supported Platforms:: CPU

Examples

>>> import numpy as np
>>> # generate a 1D integer numpy array from 0 to 4
>>> def generator_1d():
...     for i in range(5):
...         yield (np.array([i]),)
>>> generator_dataset = ds.GeneratorDataset(generator_1d, column_names="col1")
>>> # [[0], [1], [2], [3], [4]]
>>> fill_op = c_transforms.Fill(3)
>>> generator_dataset = generator_dataset.map(operations=fill_op)
>>> # [[3], [3], [3], [3], [3]]