tf.compat.v1.nn.dropout | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.nn.dropout
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Computes dropout. (deprecated arguments)
tf.compat.v1.nn.dropout(
x, keep_prob=None, noise_shape=None, seed=None, name=None, rate=None
)
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_shapeis specified, it must bebroadcastableto 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. Seetf.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. |