*Last updated: 2023-03-16.*
# tf_quant_finance.math.piecewise.convert_to_tensor_or_func
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Returns either a `PiecewiseConstantFunc` or x converted to a `Tensor`.
```python
tf_quant_finance.math.piecewise.convert_to_tensor_or_func(
x, dtype=None, name=None
)
```
Converts the input argument into a `Tensor` unless the input is of type
`PiecewiseConstantFunc` when the input is returned unchanged. This function
helps pricing models to preprocess inputs that can be either constant or time
dependent as represented by a PiecewiseConstantFunc.
#### Example:
class GeometricBrownianMotion(object)
def __init__(self, mu, sigma):
self._mu, self._mu_is_constant = piecewise.convert_to_tensor_or_func(
mu)
self._sigma, self._sigma_is_constant =
piecewise.convert_to_tensor_or_func(sigma)
#### Args:
* `x`: Either a 'Tensor' or 'PiecewiseConstantFunc'.
* `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
'PiecewiseConstantFunc_tensor_or_func'.
#### Returns:
A tuple (y, flag) where y is either a Tensor or PiecewiseConstantFunc
and flag which is False if x is of type PiecewiseConstantFunc and True
otherwise.