*Last updated: 2023-03-16.*
# tf_quant_finance.math.pad.pad_date_tensors
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Pads the innermost dimension of `DateTensor`s to a common shape.
```python
tf_quant_finance.math.pad.pad_date_tensors(
date_tensors, name=None
)
```
Given a list of `DateTensor`s of shapes `batch_shape_i + [n_i]`, pads the
innermost dimension of each corresponding ordinal tensor to
`batch_shape_i + [max(n_i)]`. For each ordinal tensor `t`, the padding is done
with values `t[..., -1]`.
### Example
```python
x = [(2020, 1, 1), (2021, 2, 2)]
y = [(2019, 5, 5), (2028, 10, 21), (2028, 11, 10)]
pad_date_tensors([x, y])
# Expected: [DateTensor: [(2020, 1, 1), (2021, 2, 2), (2021, 2, 2)],
# DateTensor: [(2019, 5, 5), (2028, 10, 21), (2028, 11, 10)]]
```
#### Args:
* `date_tensors`: a list of tensors of shapes `batch_shape_i + [n_i]`.
* `name`: Python string. The name to give to the ops created by this class.
Default value: `None` which maps to the default name `pad_date_tensors`.
#### Returns:
A list of `DateTensor`s of shape `batch_shape_i + [max(n_i)]`.