Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 255287826
This commit is contained in:
parent
6fcb6e8761
commit
bf7fdcdb47
@ -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
|
||||
|
Loading…
Reference in New Issue
Block a user