From 6f5feedd578e361eac14c427f893f68ce9a82e8e Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Thu, 28 Jun 2018 19:46:02 -0700 Subject: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 202587352 --- tensorflow/go/op/wrappers.go | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) (limited to 'tensorflow/go') diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go index 6d9cb7c6ec..b2dbdafc5f 100644 --- a/tensorflow/go/op/wrappers.go +++ b/tensorflow/go/op/wrappers.go @@ -11210,7 +11210,7 @@ func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistorted // SampleDistortedBoundingBoxAreaRange sets the optional area_range attribute to value. // // value: The cropped area of the image must contain a fraction of the -// supplied image within this range. +// supplied image within in this range. // If not specified, defaults to func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr { return func(m optionalAttr) { @@ -17969,9 +17969,8 @@ func SparseFillEmptyRowsGrad(scope *Scope, reverse_index_map tf.Output, grad_val } // Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)` -// if < 0, `scale * features` otherwise. // -// Assumes weights to have zero mean and variance 1.0 / fan_in. +// if < 0, `scale * features` otherwise. // // See [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515) func Selu(scope *Scope, features tf.Output) (activations tf.Output) { @@ -21656,7 +21655,7 @@ func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr { // generated sequentially as '*tag*/image/0', '*tag*/image/1', etc. // // The `bad_color` argument is the color to use in the generated images for -// non-finite input values. It is a `uint8` 1-D tensor of length `channels`. +// non-finite input values. It is a `unit8` 1-D tensor of length `channels`. // Each element must be in the range `[0, 255]` (It represents the value of a // pixel in the output image). Non-finite values in the input tensor are // replaced by this tensor in the output image. The default value is the color @@ -24049,7 +24048,7 @@ func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistort // SampleDistortedBoundingBoxV2AreaRange sets the optional area_range attribute to value. // // value: The cropped area of the image must contain a fraction of the -// supplied image within this range. +// supplied image within in this range. // If not specified, defaults to func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr { return func(m optionalAttr) { -- cgit v1.2.3