Corrected normalize() signature

NiklasGustafsson · NiklasGustafsson · commit 93d2bdcc84b9 · 2024-11-08T15:04:47.000-08:00
diff --git a/src/TorchSharp/NN/Normalization/Functional.cs b/src/TorchSharp/NN/Normalization/Functional.cs
@@ -31,7 +31,7 @@ public static Tensor normalize(Tensor input, double p = 2.0, long dim = 1L, doub
                 /// <summary>
                 /// Applies Batch Normalization for each channel across a batch of data.
                 /// </summary>
-                public static Tensor batch_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor? weight = null, Tensor? bias = null, bool training = false, double momentum = 0.1, double eps = 1e-5)
+                public static Tensor batch_norm(Tensor input, Tensor? running_mean, Tensor? running_var, Tensor? weight = null, Tensor? bias = null, bool training = false, double momentum = 0.1, double eps = 1e-5)
                 {
                     var res = THSNN_batch_norm(
                         input.Handle,

Original file line number	Diff line number	Diff line change
`@@ -31,7 +31,7 @@ public static Tensor normalize(Tensor input, double p = 2.0, long dim = 1L, doub`
`31`	`31`	`/// <summary>`
`32`	`32`	`/// Applies Batch Normalization for each channel across a batch of data.`
`33`	`33`	`/// </summary>`
`34`		`- public static Tensor batch_norm(Tensor input, Tensor running_mean, Tensor running_var, Tensor? weight = null, Tensor? bias = null, bool training = false, double momentum = 0.1, double eps = 1e-5)`
	`34`	`+ public static Tensor batch_norm(Tensor input, Tensor? running_mean, Tensor? running_var, Tensor? weight = null, Tensor? bias = null, bool training = false, double momentum = 0.1, double eps = 1e-5)`
`35`	`35`	`{`
`36`	`36`	`var res = THSNN_batch_norm(`
`37`	`37`	`input.Handle,`