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### `tf.constant(value, dtype=None, shape=None, name='Const', verify_shape=False)` {#constant}
Creates a constant tensor.
The resulting tensor is populated with values of type `dtype`, as
specified by arguments `value` and (optionally) `shape` (see examples
below).
The argument `value` can be a constant value, or a list of values of type
`dtype`. If `value` is a list, then the length of the list must be less
than or equal to the number of elements implied by the `shape` argument (if
specified). In the case where the list length is less than the number of
elements specified by `shape`, the last element in the list will be used
to fill the remaining entries.
The argument `shape` is optional. If present, it specifies the dimensions of
the resulting tensor. If not present, the shape of `value` is used.
If the argument `dtype` is not specified, then the type is inferred from
the type of `value`.
For example:
```python
# Constant 1-D Tensor populated with value list.
tensor = tf.constant([1, 2, 3, 4, 5, 6, 7]) => [1 2 3 4 5 6 7]
# Constant 2-D tensor populated with scalar value -1.
tensor = tf.constant(-1.0, shape=[2, 3]) => [[-1. -1. -1.]
[-1. -1. -1.]]
```
##### Args:
* <b>`value`</b>: A constant value (or list) of output type `dtype`.
* <b>`dtype`</b>: The type of the elements of the resulting tensor.
* <b>`shape`</b>: Optional dimensions of resulting tensor.
* <b>`name`</b>: Optional name for the tensor.
* <b>`verify_shape`</b>: Boolean that enables verification of a shape of values.
##### Returns:
A Constant Tensor.
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