*Last updated: 2023-03-16.*
# tf_quant_finance.datetime.convert_to_date_tensor
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Converts supplied data to a `DateTensor` if possible.
```python
tf_quant_finance.datetime.convert_to_date_tensor(
date_inputs
)
```
#### Args:
* `date_inputs`: One of the supported types that can be converted to a
DateTensor. The following input formats are supported. 1. Sequence of
`datetime.datetime`, `datetime.date`, or any other structure with data
attributes called 'year', 'month' and 'day'. 2. A numpy array of
`datetime64` type. 3. Sequence of (year, month, day) Tuples. Months are
1-based (with January as 1) and constants.Months enum may be used instead
of ints. Days are also 1-based. 4. A tuple of three int32 `Tensor`s
containing year, month and date as positive integers in that order. 5. A
single int32 `Tensor` containing ordinals (i.e. number of days since 31
Dec 0 with 1 being 1 Jan 1.)
#### Returns:
A `DateTensor` object representing the supplied dates.
#### Raises:
* `ValueError`: If conversion fails for any reason.