*Last updated: 2023-03-16.*
# tf_quant_finance.utils.broadcast_tensors
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Broadcasts arguments to the common shape.
```python
tf_quant_finance.utils.broadcast_tensors(
*, name=None, *args
)
```
#### Example
```python
import tensorflow as tf
import tf_quant_finance as tff
args = [tf.ones([1, 2], dtype=tf.float64), tf.constant([[True], [False]])]
tff.utils.broadcast_tensor_shapes(*args)
# Expected: (array([[1., 1.], [1., 1.]]),
# array([[True, True], [False, False]])
```
#### Args:
* `*args`: A sequence of `Tensor`s of compatible shapes and any `dtype`s.
* `name`: Python string. The name to give to the ops created by this function.
Default value: `None` which maps to the default name
`broadcast_tensor_shapes`.
#### Returns:
A tuple of broadcasted `Tensor`s. Each `Tensor` has the same `dtype` as the
corresponding input `Tensor`.
#### Raises:
* `ValueError`: If inputs are of incompatible shapes.