*Last updated: 2023-03-16.*
# tf_quant_finance.math.pad.pad_tensors
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Pads the innermost dimension of `Tensor`s to a common shape.
```python
tf_quant_finance.math.pad.pad_tensors(
tensors, pad_values=None, dtype=None, name=None
)
```
Given a list of `Tensor`s of the same `dtype` and with shapes
`batch_shape_i + [n_i]`, pads the innermost dimension of each tensor to
`batch_shape_i + [max(n_i)]`. For each tensor `t`, the padding is done with
values `t[..., -1]`.
### Example. Pad with the terminal value
```python
x = [[1, 2, 3, 9], [2, 3, 5, 2]]
y = [4, 5, 8]
pad_tensors([x, y])
# Expected: [array([[1, 2, 3, 9], [2, 3, 5, 2]], array([4, 5, 8, 8])]
```
### Example. Pad with user-supplied values
```python
x = [[1, 2, 3, 9], [2, 3, 5, 2]]
y = [4, 5, 8]
pad_tensors([x, y], pad_values=10)
# Expected: [array([[1, 2, 3, 9], [2, 3, 5, 2]], array([4, 5, 8, 10])]
```
#### Args:
* `tensors`: A list of tensors of the same `dtype` and shapes
`batch_shape_i + [n_i]`.
* `pad_values`: An optional scalar `Tensor` or a list of `Tensor`s of shapes
broadcastable with the corresponding `batch_shape_i` and the same
`dtype` as `pad_values`. Corresponds to the padded values used for
`tensors`.
* `dtype`: The default dtype to use when converting values to `Tensor`s.
Default value: `None` which means that default dtypes inferred by
TensorFlow are used.
* `name`: Python string. The name to give to the ops created by this class.
Default value: `None` which maps to the default name `pad_tensors`.
#### Returns:
A list of `Tensor`s of shape `batch_shape_i + [max(n_i)]`.
#### Raises:
* `ValueError`: If input is not an instance of a list or a tuple.