experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Go: Update generated wrapper functions for TensorFlow ops.

Browse Source 
PiperOrigin-RevId: 286570138
Change-Id: Ia9babe67f8a2ceece0864ea67efb7d0659eb09f1
This commit is contained in:
A. Unique TensorFlower 2019-12-20 06:46:10 -08:00 committed by TensorFlower Gardener
parent a5a0ad4300
commit a4a8958cd1
1 changed files with 22 additions and 22 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

44
tensorflow/go/op/wrappers.go
View File

@ -11649,7 +11649,7 @@ func DepthwiseConv2dNativeBackpropFilterDataFormat(value string) DepthwiseConv2d
// element on that dimension. The dimension order is determined by the value of // 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 // `data_format`, see above for details. Dilations in the batch and depth
// dimensions must be 1. // 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 { func DepthwiseConv2dNativeBackpropFilterDilations(value []int64) DepthwiseConv2dNativeBackpropFilterAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -11906,7 +11906,7 @@ func SampleDistortedBoundingBoxV2Seed2(value int64) SampleDistortedBoundingBoxV2
// //
// value: The cropped area of the image must have an aspect ratio = // value: The cropped area of the image must have an aspect ratio =
// width / height within this range. // 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 { func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistortedBoundingBoxV2Attr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["aspect_ratio_range"] = value m["aspect_ratio_range"] = value
@ -11917,7 +11917,7 @@ func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistort
// //
// 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 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) {
m["area_range"] = value m["area_range"] = value
@ -12123,7 +12123,7 @@ func SampleDistortedBoundingBoxMinObjectCovered(value float32) SampleDistortedBo
// //
// value: The cropped area of the image must have an aspect ratio = // value: The cropped area of the image must have an aspect ratio =
// width / height within this range. // 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 { func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistortedBoundingBoxAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["aspect_ratio_range"] = value m["aspect_ratio_range"] = value
@ -12134,7 +12134,7 @@ func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistorted
// //
// 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 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) {
m["area_range"] = value m["area_range"] = value
@ -18940,7 +18940,7 @@ func ImageSummaryMaxImages(value int64) ImageSummaryAttr {
// ImageSummaryBadColor sets the optional bad_color attribute to value. // ImageSummaryBadColor sets the optional bad_color attribute to value.
// //
// value: Color to use for pixels with non-finite values. // 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 { func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["bad_color"] = value m["bad_color"] = value
@ -19935,7 +19935,7 @@ func Conv3DBackpropFilterV2DataFormat(value string) Conv3DBackpropFilterV2Attr {
// filter element on that dimension. The dimension order is determined by the // 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 // value of `data_format`, see above for details. Dilations in the batch and
// depth dimensions must be 1. // 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 { func Conv3DBackpropFilterV2Dilations(value []int64) Conv3DBackpropFilterV2Attr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -21232,7 +21232,7 @@ func Conv2DBackpropInputDataFormat(value string) Conv2DBackpropInputAttr {
// element on that dimension. The dimension order is determined by the value of // 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 // `data_format`, see above for details. Dilations in the batch and depth
// dimensions must be 1. // 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 { func Conv2DBackpropInputDilations(value []int64) Conv2DBackpropInputAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -21940,7 +21940,7 @@ func Conv2DDataFormat(value string) Conv2DAttr {
// filter element on that dimension. The dimension order is determined by the // 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 // value of `data_format`, see above for details. Dilations in the batch and
// depth dimensions must be 1. // 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 { func Conv2DDilations(value []int64) Conv2DAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22136,7 +22136,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeOutType(value tf.DataTy
// QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations sets the optional dilations attribute to value. // QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations sets the optional dilations attribute to value.
// //
// value: List of dilation values. // 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 { func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22205,7 +22205,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluOutType(value tf.DataType) Quantized
// QuantizedDepthwiseConv2DWithBiasAndReluDilations sets the optional dilations attribute to value. // QuantizedDepthwiseConv2DWithBiasAndReluDilations sets the optional dilations attribute to value.
// //
// value: List of dilation values. // 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 { func QuantizedDepthwiseConv2DWithBiasAndReluDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22320,7 +22320,7 @@ func QuantizedDepthwiseConv2DWithBiasOutType(value tf.DataType) QuantizedDepthwi
// QuantizedDepthwiseConv2DWithBiasDilations sets the optional dilations attribute to value. // QuantizedDepthwiseConv2DWithBiasDilations sets the optional dilations attribute to value.
// //
// value: List of dilation values. // 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 { func QuantizedDepthwiseConv2DWithBiasDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22379,7 +22379,7 @@ func QuantizedDepthwiseConv2DOutType(value tf.DataType) QuantizedDepthwiseConv2D
// QuantizedDepthwiseConv2DDilations sets the optional dilations attribute to value. // QuantizedDepthwiseConv2DDilations sets the optional dilations attribute to value.
// //
// value: List of dilation values. // 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 { func QuantizedDepthwiseConv2DDilations(value []int64) QuantizedDepthwiseConv2DAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22553,7 +22553,7 @@ func QuantizedConv2DPerChannelOutType(value tf.DataType) QuantizedConv2DPerChann
// QuantizedConv2DPerChannelDilations sets the optional dilations attribute to value. // QuantizedConv2DPerChannelDilations sets the optional dilations attribute to value.
// //
// value: list of dilation values. // 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 { func QuantizedConv2DPerChannelDilations(value []int64) QuantizedConv2DPerChannelAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -22744,7 +22744,7 @@ func Conv3DBackpropInputV2DataFormat(value string) Conv3DBackpropInputV2Attr {
// filter element on that dimension. The dimension order is determined by the // 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 // value of `data_format`, see above for details. Dilations in the batch and
// depth dimensions must be 1. // 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 { func Conv3DBackpropInputV2Dilations(value []int64) Conv3DBackpropInputV2Attr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -25318,7 +25318,7 @@ func DepthwiseConv2dNativeDataFormat(value string) DepthwiseConv2dNativeAttr {
// element on that dimension. The dimension order is determined by the value of // 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 // `data_format`, see above for details. Dilations in the batch and depth
// dimensions must be 1. // 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 { func DepthwiseConv2dNativeDilations(value []int64) DepthwiseConv2dNativeAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -25375,7 +25375,7 @@ func DepthwiseConv2dNative(scope *Scope, input tf.Output, filter tf.Output, stri
type Conv3DBackpropInputAttr func(optionalAttr) type Conv3DBackpropInputAttr func(optionalAttr)
// Conv3DBackpropInputDilations sets the optional dilations attribute to value. // 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 { func Conv3DBackpropInputDilations(value []int64) Conv3DBackpropInputAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -25707,7 +25707,7 @@ func DepthwiseConv2dNativeBackpropInputDataFormat(value string) DepthwiseConv2dN
// element on that dimension. The dimension order is determined by the value of // 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 // `data_format`, see above for details. Dilations in the batch and depth
// dimensions must be 1. // 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 { func DepthwiseConv2dNativeBackpropInputDilations(value []int64) DepthwiseConv2dNativeBackpropInputAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -26330,7 +26330,7 @@ func QuantizedConv2DOutType(value tf.DataType) QuantizedConv2DAttr {
// filter element on that dimension. The dimension order is determined by the // 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 // value of `data_format`, see above for details. Dilations in the batch and
// depth dimensions must be 1. // 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 { func QuantizedConv2DDilations(value []int64) QuantizedConv2DAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -27351,7 +27351,7 @@ func Conv3DDataFormat(value string) Conv3DAttr {
// filter element on that dimension. The dimension order is determined by the // 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 // value of `data_format`, see above for details. Dilations in the batch and
// depth dimensions must be 1. // 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 { func Conv3DDilations(value []int64) Conv3DAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -33729,7 +33729,7 @@ func SparseReduceMax(scope *Scope, input_indices tf.Output, input_values tf.Outp
type Conv3DBackpropFilterAttr func(optionalAttr) type Conv3DBackpropFilterAttr func(optionalAttr)
// Conv3DBackpropFilterDilations sets the optional dilations attribute to value. // 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 { func Conv3DBackpropFilterDilations(value []int64) Conv3DBackpropFilterAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value
@ -45156,7 +45156,7 @@ func Conv2DBackpropFilterDataFormat(value string) Conv2DBackpropFilterAttr {
// element on that dimension. The dimension order is determined by the value of // 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 // `data_format`, see above for details. Dilations in the batch and depth
// dimensions must be 1. // 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 { func Conv2DBackpropFilterDilations(value []int64) Conv2DBackpropFilterAttr {
return func(m optionalAttr) { return func(m optionalAttr) {
m["dilations"] = value m["dilations"] = value