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# tf.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:

``````# 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.]]
``````

`tf.constant` differs from `tf.fill` in a few ways:

`value` A constant value (or list) of output type `dtype`.
`dtype` The type of the elements of the resulting tensor.
`shape` Optional dimensions of resulting tensor.
`name` Optional name for the tensor.
`verify_shape` Boolean that enables verification of a shape of values.

A Constant Tensor.

`TypeError` if shape is incorrectly specified or unsupported.