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authorGravatar Akshay Modi <nareshmodi@google.com>2018-06-18 09:57:19 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-06-18 09:59:59 -0700
commite80732c9895d1283af9b98d6277ad1a1015e2e9a (patch)
tree14895657394f9cdfed8435460e37fe89a45ba599 /tensorflow/go/op
parent8ecf506fb8464dd273ce59f512f5e20d37dd5cfd (diff)
Merge changes from github.
PiperOrigin-RevId: 201011811
Diffstat (limited to 'tensorflow/go/op')
-rw-r--r--tensorflow/go/op/wrappers.go12
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go
index 5602775b62..a5224fbda0 100644
--- a/tensorflow/go/op/wrappers.go
+++ b/tensorflow/go/op/wrappers.go
@@ -10955,7 +10955,7 @@ 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 in this range.
+// supplied image within this range.
// If not specified, defaults to <f:0.05 f:1 >
func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr {
return func(m optionalAttr) {
@@ -18098,9 +18098,10 @@ 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.
+//
// See [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
func Selu(scope *Scope, features tf.Output) (activations tf.Output) {
if scope.Err() != nil {
@@ -21625,7 +21626,7 @@ 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 `unit8` 1-D tensor of length `channels`.
+// non-finite input values. It is a `uint8` 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
@@ -24018,7 +24019,7 @@ 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 in this range.
+// supplied image within this range.
// If not specified, defaults to <f:0.05 f:1 >
func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr {
return func(m optionalAttr) {
@@ -24714,8 +24715,7 @@ type DecodeProtoV2Attr func(optionalAttr)
// If not specified, defaults to "local://"
func DecodeProtoV2DescriptorSource(value string) DecodeProtoV2Attr {
return func(m optionalAttr) {
- m["descriptor_source"] = value
- }
+ m["descriptor_source"] = value }
}
// DecodeProtoV2MessageFormat sets the optional message_format attribute to value.