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Go: Update generated wrapper functions for TensorFlow ops.

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PiperOrigin-RevId: 202587352
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A. Unique TensorFlower 2018-06-28 19:46:02 -07:00 committed by TensorFlower Gardener
parent 1e7b0e4ad6
commit 6f5feedd57
1 changed files with 4 additions and 5 deletions
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tensorflow/go/op/wrappers.go
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@ -11210,7 +11210,7 @@ func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistorted
// SampleDistortedBoundingBoxAreaRange sets the optional area_range attribute to value. // SampleDistortedBoundingBoxAreaRange sets the optional area_range attribute to value.
// //
// value: The cropped area of the image must contain a fraction of the // 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 <f:0.05 f:1 > // If not specified, defaults to <f:0.05 f:1 >
func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr { func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr {
return func(m optionalAttr) { 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)` // 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) // See [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
func Selu(scope *Scope, features tf.Output) (activations tf.Output) { 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. // generated sequentially as '*tag*/image/0', '*tag*/image/1', etc.
// //
// The `bad_color` argument is the color to use in the generated images for // 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 // 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 // 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 // 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. // SampleDistortedBoundingBoxV2AreaRange sets the optional area_range attribute to value.
// //
// value: The cropped area of the image must contain a fraction of the // 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 <f:0.05 f:1 > // If not specified, defaults to <f:0.05 f:1 >
func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr { func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr {
return func(m optionalAttr) { return func(m optionalAttr) {