chainerx.fixed_batch_norm¶
- chainerx.fixed_batch_norm(x, gamma, beta, mean, var, eps=2e-05, axis=None)¶
Batch normalization function with fixed statistics.
This is a variant of
batch_norm()
, where the mean and array statistics are given by the caller as fixed variables.- Parameters
x (ndarray) – Input array.
gamma (ndarray) – Scaling parameter of normalized data.
beta (ndarray) – Shifting parameter of scaled normalized data.
mean (ndarray) – Shifting parameter of input.
var (ndarray) – Square of scaling parameter of input.
eps (float) – Epsilon value for numerical stability.
axis (int, tuple of int or None) – Axis over which normalization is performed. When axis is
None
, the first axis is treated as the batch axis and will be reduced during normalization.
Note
During backpropagation, this function does not propagate gradients.