# tf.compat.v1.nn.dropout
|---|
| [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/nn_ops.py#L5365-L5417) |
Computes dropout. (deprecated arguments)
tf.compat.v1.nn.dropout(
x, keep_prob=None, noise_shape=None, seed=None, name=None, rate=None
)
> [!WARNING]
> **Deprecated:** SOME ARGUMENTS ARE DEPRECATED: `(keep_prob)`. They will be removed in a future version. Instructions for updating: Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
For each element of `x`, with probability `rate`, outputs `0`, and otherwise
scales up the input by `1 / (1-rate)`. The scaling is such that the expected
sum is unchanged.
By default, each element is kept or dropped independently. If `noise_shape`
is specified, it must be
[broadcastable](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
to the shape of `x`, and only dimensions with `noise_shape[i] == shape(x)[i]`
will make independent decisions. For example, if `shape(x) = [k, l, m, n]`
and `noise_shape = [k, 1, 1, n]`, each batch and channel component will be
kept independently and each row and column will be kept or not kept together.
| ## Args ||
|---|---|
| `x` | A floating point tensor. |
| `keep_prob` | (deprecated) A deprecated alias for `(1-rate)`. |
| `noise_shape` | A 1-D integer `Tensor`, representing the shape for randomly generated keep/drop flags. |
| `seed` | A Python integer. Used to create random seeds. See [`tf.random.set_seed`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/random/set_seed) for behavior. |
| `name` | A name for this operation (optional). |
| `rate` | A scalar `Tensor` with the same type as `x`. The probability that each element of `x` is discarded. |
| ## Returns ||
|---|---|
| A Tensor of the same shape of `x`. ||
| ## Raises ||
|---|---|
| `ValueError` | If `rate` is not in `[0, 1)` or if `x` is not a floating point tensor. |