tf.identity

TensorFlow 1 version

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Return a Tensor with the same shape and contents as input.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.identity

tf.identity(
    input, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
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The return value is not the same Tensor as the original, but contains the same values. This operation is fast when used on the same device.

For example:

a = tf.constant([0.78])
a_identity = tf.identity(a)
a.numpy()
array([0.78], dtype=float32)
a_identity.numpy()
array([0.78], dtype=float32)

Calling tf.identity on a variable will make a Tensor that represents the value of that variable at the time it is called. This is equivalent to calling <variable>.read_value().

a = tf.Variable(5)
a_identity = tf.identity(a)
a.assign_add(1)
<tf.Variable ... shape=() dtype=int32, numpy=6>
a.numpy()
6
a_identity.numpy()
5

Args
`input`	A `Tensor`.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `input`.

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tf / identity

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Used in the notebooks

For example:

Args

Returns