Fit within 100 columns.

rxwei · web-flow · commit c2d7c6c989e2 · 2019-06-14T03:44:18.000-07:00
diff --git a/Sources/TensorFlow/Loss.swift b/Sources/TensorFlow/Loss.swift
@@ -94,7 +94,8 @@ fileprivate func logCosh<Scalar: TensorFlowFloatingPoint>(
     x + softplus(Tensor(-2) * x) - log(Tensor(y))
 }
 
-/// Returns the logarithm of the hyperbolic cosine of the error between predictions and expectations.
+/// Returns the logarithm of the hyperbolic cosine of the error between predictions and
+/// expectations.
 ///
 /// - Parameters:
 ///   - predicted: Predicted outputs from a neural network.

Original file line number	Diff line number	Diff line change
`@@ -94,7 +94,8 @@ fileprivate func logCosh<Scalar: TensorFlowFloatingPoint>(`
`94`	`94`	`x + softplus(Tensor(-2) * x) - log(Tensor(y))`
`95`	`95`	`}`
`96`	`96`
`97`		`-/// Returns the logarithm of the hyperbolic cosine of the error between predictions and expectations.`
	`97`	`+/// Returns the logarithm of the hyperbolic cosine of the error between predictions and`
	`98`	`+/// expectations.`
`98`	`99`	`///`
`99`	`100`	`/// - Parameters:`
`100`	`101`	`/// - predicted: Predicted outputs from a neural network.`