Fix default values for affine= in the docstrings of InstanceNormXd (#8895)

velikodniy · soumith · commit 74d2d562f3e2 · 2018-06-26T14:06:31.000-04:00
diff --git a/torch/nn/modules/instancenorm.py b/torch/nn/modules/instancenorm.py
@@ -85,7 +85,7 @@ class InstanceNorm1d(_InstanceNorm):
         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``, this module has
-            learnable affine parameters. Default: ``True``
+            learnable affine parameters. Default: ``False``
         track_running_stats: a boolean value that when set to ``True``, this
             module tracks the running mean and variance, and when set to ``False``,
             this module does not track such statistics and always uses batch
@@ -149,7 +149,7 @@ class InstanceNorm2d(_InstanceNorm):
         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``, this module has
-            learnable affine parameters. Default: ``True``
+            learnable affine parameters. Default: ``False``
         track_running_stats: a boolean value that when set to ``True``, this
             module tracks the running mean and variance, and when set to ``False``,
             this module does not track such statistics and always uses batch
@@ -213,7 +213,7 @@ class InstanceNorm3d(_InstanceNorm):
         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``, this module has
-            learnable affine parameters. Default: ``True``
+            learnable affine parameters. Default: ``False``
         track_running_stats: a boolean value that when set to ``True``, this
             module tracks the running mean and variance, and when set to ``False``,
             this module does not track such statistics and always uses batch
