diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go index c53ce140da2..ed69648e6b7 100644 --- a/tensorflow/go/op/wrappers.go +++ b/tensorflow/go/op/wrappers.go @@ -14607,8 +14607,12 @@ func ResourceSparseApplyAdagrad(scope *Scope, var_ tf.Output, accum tf.Output, l // Add all input tensors element wise. // -// Arguments: -// inputs: Must all be the same size and shape. +// Inputs must be of same size and shape. +// +// ```python +// x = [9, 7, 10] +// tf.math.add_n(x) ==> 26 +// ``` func AddN(scope *Scope, inputs []tf.Output) (sum tf.Output) { if scope.Err() != nil { return @@ -18154,6 +18158,17 @@ func ResourceApplyAddSign(scope *Scope, var_ tf.Output, m tf.Output, lr tf.Outpu } // Computes inverse hyperbolic tangent of x element-wise. +// +// Given an input tensor, this function computes inverse hyperbolic tangent +// for every element in the tensor. Input range is `[-1,1]` and output range is +// `[-inf, inf]`. If input is `-1`, output will be `-inf` and if the +// input is `1`, output will be `inf`. Values outside the range will have +// `nan` as output. +// +// ```python +// x = tf.constant([-float("inf"), -1, -0.5, 1, 0, 0.5, 10, float("inf")]) +// tf.math.atanh(x) ==> [nan -inf -0.54930615 inf 0. 0.54930615 nan nan] +// ``` func Atanh(scope *Scope, x tf.Output) (y tf.Output) { if scope.Err() != nil { return @@ -22848,6 +22863,15 @@ func FilterByLastComponentDataset(scope *Scope, input_dataset tf.Output, output_ } // Computes inverse hyperbolic sine of x element-wise. +// +// Given an input tensor, this function computes inverse hyperbolic sine +// for every element in the tensor. Both input and output has a range of +// `[-inf, inf]`. +// +// ```python +// x = tf.constant([-float("inf"), -2, -0.5, 1, 1.2, 200, 10000, float("inf")]) +// tf.math.asinh(x) ==> [-inf -1.4436355 -0.4812118 0.8813736 1.0159732 5.991471 9.903487 inf] +// ``` func Asinh(scope *Scope, x tf.Output) (y tf.Output) { if scope.Err() != nil { return