nnf_group_norm: Group_norm
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/nnf-normalization.R
nnf_group_norm R Documentation
Group_norm
Description
Applies Group Normalization for last certain number of dimensions.
Usage
nnf_group_norm(input, num_groups, weight = NULL, bias = NULL, eps = 1e-05)
Arguments
input
the input tensor
num_groups
number of groups to separate the channels into
weight
the weight tensor
bias
the bias tensor
eps
a value added to the denominator for numerical stability. Default: 1e-5
torch documentation built on June 7, 2023, 6:19 p.m.
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View source: R/nnf-normalization.R
| nnf_group_norm | R Documentation |
Group_norm
Description
Applies Group Normalization for last certain number of dimensions.
Usage
nnf_group_norm(input, num_groups, weight = NULL, bias = NULL, eps = 1e-05)
Arguments
input |
the input tensor |
num_groups |
number of groups to separate the channels into |
weight |
the weight tensor |
bias |
the bias tensor |
eps |
a value added to the denominator for numerical stability. Default: 1e-5 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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