tf.identity
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Return a tensor with the same shape and contents as input.
tf.identity(
input, name=None
)
For example:
import tensorflow as tf
val0 = tf.ones((1,), dtype=tf.float32)
a = tf.atan2(val0, val0)
a_identity = tf.identity(a)
print(a.numpy()) #[0.7853982]
print(a_identity.numpy()) #[0.7853982]
Args |
|---|
input
|
A Tensor.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.identity\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/identity) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/python/ops/array_ops.py#L238-L271) |\n\nReturn a tensor with the same shape and contents as input.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.identity`](/api_docs/python/tf/identity)\n\n\u003cbr /\u003e\n\n tf.identity(\n input, name=None\n )\n\n#### For example:\n\n import tensorflow as tf\n val0 = tf.ones((1,), dtype=tf.float32)\n a = tf.atan2(val0, val0)\n a_identity = tf.identity(a)\n print(a.numpy()) #[0.7853982]\n print(a_identity.numpy()) #[0.7853982]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|--------------------------------------|\n| `input` | A `Tensor`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub