tfc.ops.stochastic_round
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Rounds inputs / step_size
stochastically.
tfc.ops.stochastic_round(
inputs, step_size, seed, name=None
)
This op computes the elementwise function:
output = {
floor(x) with prob. p = x - floor(x)
floor(x) + 1 with prob. 1 - p
}
where x = input / step_size.
Args |
inputs
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 .
Floating point tensor to be rounded.
|
step_size
|
A Tensor of type float32 .
Scalar tensor. Step size for rounding.
|
seed
|
A Tensor of type int32 .
Arbitrary shape tensor. Seed for random number generator. If it has no
elements, seeding is attempted from system time.
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type int32 .
Integer tensor of same shape as inputs , containing rounded values.
|
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Last updated 2024-04-26 UTC.
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