# tf.identity_n

tf.identity_n(
input,
name=None
)


Defined in generated file: tensorflow/python/ops/gen_array_ops.py.

Returns a list of tensors with the same shapes and contents as the input

tensors.

This op can be used to override the gradient for complicated functions. For example, suppose y = f(x) and we wish to apply a custom function g for backprop such that dx = g(dy). In Python,

with tf.get_default_graph().gradient_override_map(
y, _ = identity_n([f(x), x])


• input: A list of Tensor objects.
• name: A name for the operation (optional).
A list of Tensor objects. Has the same type as input.