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
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 Tensor of type int32, representing the
shape for randomly generated keep/drop flags.
seed
A Python integer. Used to create random seeds. See
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.
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