diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go index f6c5a4f731e..f85ab9dffd6 100644 --- a/tensorflow/go/op/wrappers.go +++ b/tensorflow/go/op/wrappers.go @@ -11735,7 +11735,7 @@ 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 @@ -11992,7 +11992,7 @@ 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 @@ -12003,7 +12003,7 @@ 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 @@ -12209,7 +12209,7 @@ 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 @@ -12220,7 +12220,7 @@ 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 @@ -19052,7 +19052,7 @@ 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 @@ -20047,7 +20047,7 @@ 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 @@ -21344,7 +21344,7 @@ 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 @@ -22052,7 +22052,7 @@ 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 @@ -22248,7 +22248,7 @@ 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 @@ -22317,7 +22317,7 @@ 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 @@ -22432,7 +22432,7 @@ 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 @@ -22491,7 +22491,7 @@ 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 @@ -22665,7 +22665,7 @@ 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 @@ -22856,7 +22856,7 @@ 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 @@ -25430,7 +25430,7 @@ 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 @@ -25487,7 +25487,7 @@ 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 @@ -25819,7 +25819,7 @@ 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 @@ -26442,7 +26442,7 @@ 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 @@ -27470,7 +27470,7 @@ 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 @@ -33848,7 +33848,7 @@ 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 @@ -45237,7 +45237,7 @@ 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