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Add comments for default value #2242

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Jul 29, 2017
Merged

Add comments for default value #2242

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568cd3d
Add comments for default value
yunjey Jul 29, 2017
255e9fa
Add comments for default value in instancenorm.py
yunjey Jul 29, 2017
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6 changes: 3 additions & 3 deletions torch/nn/modules/batchnorm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ class BatchNorm1d(_BatchNorm):
momentum: the value used for the running_mean and running_var
computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable
affine parameters.
affine parameters. Default: True

Shape:
- Input: :math:`(N, C)` or :math:`(N, C, L)`
Expand Down Expand Up @@ -114,7 +114,7 @@ class BatchNorm2d(_BatchNorm):
momentum: the value used for the running_mean and running_var
computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable
affine parameters.
affine parameters. Default: True

Shape:
- Input: :math:`(N, C, H, W)`
Expand Down Expand Up @@ -161,7 +161,7 @@ class BatchNorm3d(_BatchNorm):
momentum: the value used for the running_mean and running_var
computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable
affine parameters.
affine parameters. Default: True

Shape:
- Input: :math:`(N, C, D, H, W)`
Expand Down
6 changes: 3 additions & 3 deletions torch/nn/modules/instancenorm.py
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Expand Up @@ -58,7 +58,7 @@ class InstanceNorm1d(_InstanceNorm):
num_features: num_features from an expected input of size `batch_size x num_features x width`
eps: a value added to the denominator for numerical stability. Default: 1e-5
momentum: the value used for the running_mean and running_var computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable affine parameters.
affine: a boolean value that when set to true, gives the layer learnable affine parameters. Default: False

Shape:
- Input: :math:`(N, C, L)`
Expand Down Expand Up @@ -102,7 +102,7 @@ class InstanceNorm2d(_InstanceNorm):
num_features: num_features from an expected input of size batch_size x num_features x height x width
eps: a value added to the denominator for numerical stability. Default: 1e-5
momentum: the value used for the running_mean and running_var computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable affine parameters.
affine: a boolean value that when set to true, gives the layer learnable affine parameters. Default: False

Shape:
- Input: :math:`(N, C, H, W)`
Expand Down Expand Up @@ -147,7 +147,7 @@ class InstanceNorm3d(_InstanceNorm):
num_features: num_features from an expected input of size batch_size x num_features x depth x height x width
eps: a value added to the denominator for numerical stability. Default: 1e-5
momentum: the value used for the running_mean and running_var computation. Default: 0.1
affine: a boolean value that when set to true, gives the layer learnable affine parameters.
affine: a boolean value that when set to true, gives the layer learnable affine parameters. Default: False

Shape:
- Input: :math:`(N, C, D, H, W)`
Expand Down