diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go
index 86280c089b6878..f5727154403cbb 100644
--- a/tensorflow/go/op/wrappers.go
+++ b/tensorflow/go/op/wrappers.go
@@ -11697,7 +11697,7 @@ func DepthwiseConv2dNativeBackpropFilterDataFormat(value string) DepthwiseConv2d
 // element on that dimension. The dimension order is determined by the value of
 // `data_format`, see above for details. Dilations in the batch and depth
 // dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func DepthwiseConv2dNativeBackpropFilterDilations(value []int64) DepthwiseConv2dNativeBackpropFilterAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -11954,7 +11954,7 @@ func SampleDistortedBoundingBoxV2Seed2(value int64) SampleDistortedBoundingBoxV2
 //
 // value: The cropped area of the image must have an aspect ratio =
 // width / height within this range.
-// If not specified, defaults to {f:0.75  f:1.33}
+// If not specified, defaults to {f:0.75 f:1.33}
 func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistortedBoundingBoxV2Attr {
 	return func(m optionalAttr) {
 		m["aspect_ratio_range"] = value
@@ -11965,7 +11965,7 @@ func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistort
 //
 // value: The cropped area of the image must contain a fraction of the
 // supplied image within 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 {
 	return func(m optionalAttr) {
 		m["area_range"] = value
@@ -12171,7 +12171,7 @@ func SampleDistortedBoundingBoxMinObjectCovered(value float32) SampleDistortedBo
 //
 // value: The cropped area of the image must have an aspect ratio =
 // width / height within this range.
-// If not specified, defaults to {f:0.75  f:1.33}
+// If not specified, defaults to {f:0.75 f:1.33}
 func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistortedBoundingBoxAttr {
 	return func(m optionalAttr) {
 		m["aspect_ratio_range"] = value
@@ -12182,7 +12182,7 @@ func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistorted
 //
 // value: The cropped area of the image must contain a fraction of the
 // supplied image within 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 {
 	return func(m optionalAttr) {
 		m["area_range"] = value
@@ -18988,7 +18988,7 @@ func ImageSummaryMaxImages(value int64) ImageSummaryAttr {
 // ImageSummaryBadColor sets the optional bad_color attribute to value.
 //
 // value: Color to use for pixels with non-finite values.
-// If not specified, defaults to {dtype:DT_UINT8  tensor_shape:{dim:{size:4}}  int_val:255  int_val:0  int_val:0  int_val:255}
+// If not specified, defaults to {dtype:DT_UINT8 tensor_shape:{dim:{size:4}} int_val:255 int_val:0 int_val:0 int_val:255}
 func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr {
 	return func(m optionalAttr) {
 		m["bad_color"] = value
@@ -19983,7 +19983,7 @@ func Conv3DBackpropFilterV2DataFormat(value string) Conv3DBackpropFilterV2Attr {
 // filter element on that dimension. The dimension order is determined by the
 // value of `data_format`, see above for details. Dilations in the batch and
 // depth dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
 func Conv3DBackpropFilterV2Dilations(value []int64) Conv3DBackpropFilterV2Attr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -21280,7 +21280,7 @@ func Conv2DBackpropInputDataFormat(value string) Conv2DBackpropInputAttr {
 // element on that dimension. The dimension order is determined by the value of
 // `data_format`, see above for details. Dilations in the batch and depth
 // dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func Conv2DBackpropInputDilations(value []int64) Conv2DBackpropInputAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -21988,7 +21988,7 @@ func Conv2DDataFormat(value string) Conv2DAttr {
 // filter element on that dimension. The dimension order is determined by the
 // value of `data_format`, see above for details. Dilations in the batch and
 // depth dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func Conv2DDilations(value []int64) Conv2DAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22184,7 +22184,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeOutType(value tf.DataTy
 // QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations sets the optional dilations attribute to value.
 //
 // value: List of dilation values.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22253,7 +22253,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluOutType(value tf.DataType) Quantized
 // QuantizedDepthwiseConv2DWithBiasAndReluDilations sets the optional dilations attribute to value.
 //
 // value: List of dilation values.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedDepthwiseConv2DWithBiasAndReluDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22368,7 +22368,7 @@ func QuantizedDepthwiseConv2DWithBiasOutType(value tf.DataType) QuantizedDepthwi
 // QuantizedDepthwiseConv2DWithBiasDilations sets the optional dilations attribute to value.
 //
 // value: List of dilation values.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedDepthwiseConv2DWithBiasDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22427,7 +22427,7 @@ func QuantizedDepthwiseConv2DOutType(value tf.DataType) QuantizedDepthwiseConv2D
 // QuantizedDepthwiseConv2DDilations sets the optional dilations attribute to value.
 //
 // value: List of dilation values.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedDepthwiseConv2DDilations(value []int64) QuantizedDepthwiseConv2DAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22601,7 +22601,7 @@ func QuantizedConv2DPerChannelOutType(value tf.DataType) QuantizedConv2DPerChann
 // QuantizedConv2DPerChannelDilations sets the optional dilations attribute to value.
 //
 // value: list of dilation values.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedConv2DPerChannelDilations(value []int64) QuantizedConv2DPerChannelAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -22792,7 +22792,7 @@ func Conv3DBackpropInputV2DataFormat(value string) Conv3DBackpropInputV2Attr {
 // filter element on that dimension. The dimension order is determined by the
 // value of `data_format`, see above for details. Dilations in the batch and
 // depth dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
 func Conv3DBackpropInputV2Dilations(value []int64) Conv3DBackpropInputV2Attr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -25366,7 +25366,7 @@ func DepthwiseConv2dNativeDataFormat(value string) DepthwiseConv2dNativeAttr {
 // element on that dimension. The dimension order is determined by the value of
 // `data_format`, see above for details. Dilations in the batch and depth
 // dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func DepthwiseConv2dNativeDilations(value []int64) DepthwiseConv2dNativeAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -25423,7 +25423,7 @@ func DepthwiseConv2dNative(scope *Scope, input tf.Output, filter tf.Output, stri
 type Conv3DBackpropInputAttr func(optionalAttr)
 
 // Conv3DBackpropInputDilations sets the optional dilations attribute to value.
-// If not specified, defaults to {i:1  i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
 func Conv3DBackpropInputDilations(value []int64) Conv3DBackpropInputAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -25755,7 +25755,7 @@ func DepthwiseConv2dNativeBackpropInputDataFormat(value string) DepthwiseConv2dN
 // element on that dimension. The dimension order is determined by the value of
 // `data_format`, see above for details. Dilations in the batch and depth
 // dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func DepthwiseConv2dNativeBackpropInputDilations(value []int64) DepthwiseConv2dNativeBackpropInputAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -26378,7 +26378,7 @@ func QuantizedConv2DOutType(value tf.DataType) QuantizedConv2DAttr {
 // filter element on that dimension. The dimension order is determined by the
 // value of `data_format`, see above for details. Dilations in the batch and
 // depth dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func QuantizedConv2DDilations(value []int64) QuantizedConv2DAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -27406,7 +27406,7 @@ func Conv3DDataFormat(value string) Conv3DAttr {
 // filter element on that dimension. The dimension order is determined by the
 // value of `data_format`, see above for details. Dilations in the batch and
 // depth dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
 func Conv3DDilations(value []int64) Conv3DAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -33784,7 +33784,7 @@ func SparseReduceMax(scope *Scope, input_indices tf.Output, input_values tf.Outp
 type Conv3DBackpropFilterAttr func(optionalAttr)
 
 // Conv3DBackpropFilterDilations sets the optional dilations attribute to value.
-// If not specified, defaults to {i:1  i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
 func Conv3DBackpropFilterDilations(value []int64) Conv3DBackpropFilterAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value
@@ -45211,7 +45211,7 @@ func Conv2DBackpropFilterDataFormat(value string) Conv2DBackpropFilterAttr {
 // element on that dimension. The dimension order is determined by the value of
 // `data_format`, see above for details. Dilations in the batch and depth
 // dimensions must be 1.
-// If not specified, defaults to {i:1  i:1  i:1  i:1}
+// If not specified, defaults to {i:1 i:1 i:1 i:1}
 func Conv2DBackpropFilterDilations(value []int64) Conv2DBackpropFilterAttr {
 	return func(m optionalAttr) {
 		m["dilations"] = value