From 1a95ae00af49c7f0779047ceffc5919bd11f6ce4 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Thu, 23 Apr 2020 03:46:47 -0700 Subject: [PATCH] Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 308017197 Change-Id: I92218150ef2d4d1d9b01efae3bc9acbd473dfec2 --- tensorflow/go/op/wrappers.go | 44 ++++++++++++++++++------------------ 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go index d841e025f55..8c8867e6193 100644 --- a/tensorflow/go/op/wrappers.go +++ b/tensorflow/go/op/wrappers.go @@ -11935,7 +11935,7 @@ 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 @@ -11946,7 +11946,7 @@ 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 @@ -18622,7 +18622,7 @@ 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 @@ -18633,7 +18633,7 @@ 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 @@ -19037,7 +19037,7 @@ 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 @@ -20108,7 +20108,7 @@ 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 @@ -22978,7 +22978,7 @@ 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 @@ -25298,7 +25298,7 @@ func AvgPool3DGrad(scope *Scope, orig_input_shape tf.Output, grad tf.Output, ksi 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 @@ -25361,7 +25361,7 @@ 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 @@ -25612,7 +25612,7 @@ 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 @@ -26096,7 +26096,7 @@ 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 @@ -40349,7 +40349,7 @@ 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 @@ -45846,7 +45846,7 @@ 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 @@ -46838,7 +46838,7 @@ func CreateJob(scope *Scope, dataset_id tf.Output, address tf.Output, protocol t 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 @@ -46909,7 +46909,7 @@ 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