Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 289992193 Change-Id: Id459106f6f11f79a124983b0657976846a0af748
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@ -11735,7 +11735,7 @@ func DepthwiseConv2dNativeBackpropFilterDataFormat(value string) DepthwiseConv2d
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// element on that dimension. The dimension order is determined by the value of
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// element on that dimension. The dimension order is determined by the value of
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// `data_format`, see above for details. Dilations in the batch and depth
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// `data_format`, see above for details. Dilations in the batch and depth
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// dimensions must be 1.
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// dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func DepthwiseConv2dNativeBackpropFilterDilations(value []int64) DepthwiseConv2dNativeBackpropFilterAttr {
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func DepthwiseConv2dNativeBackpropFilterDilations(value []int64) DepthwiseConv2dNativeBackpropFilterAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -11992,7 +11992,7 @@ func SampleDistortedBoundingBoxV2Seed2(value int64) SampleDistortedBoundingBoxV2
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//
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//
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// value: The cropped area of the image must have an aspect ratio =
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// value: The cropped area of the image must have an aspect ratio =
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// width / height within this range.
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// width / height within this range.
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// If not specified, defaults to {f:0.75 f:1.33}
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// If not specified, defaults to {f:0.75 f:1.33}
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func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistortedBoundingBoxV2Attr {
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func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistortedBoundingBoxV2Attr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["aspect_ratio_range"] = value
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m["aspect_ratio_range"] = value
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@ -12003,7 +12003,7 @@ func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistort
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//
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//
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// value: The cropped area of the image must contain a fraction of the
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// value: The cropped area of the image must contain a fraction of the
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// supplied image within this range.
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// supplied image within this range.
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// If not specified, defaults to {f:0.05 f:1}
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// If not specified, defaults to {f:0.05 f:1}
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func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr {
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func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["area_range"] = value
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m["area_range"] = value
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@ -12209,7 +12209,7 @@ func SampleDistortedBoundingBoxMinObjectCovered(value float32) SampleDistortedBo
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//
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//
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// value: The cropped area of the image must have an aspect ratio =
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// value: The cropped area of the image must have an aspect ratio =
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// width / height within this range.
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// width / height within this range.
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// If not specified, defaults to {f:0.75 f:1.33}
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// If not specified, defaults to {f:0.75 f:1.33}
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func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistortedBoundingBoxAttr {
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func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistortedBoundingBoxAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["aspect_ratio_range"] = value
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m["aspect_ratio_range"] = value
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@ -12220,7 +12220,7 @@ func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistorted
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//
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//
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// value: The cropped area of the image must contain a fraction of the
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// value: The cropped area of the image must contain a fraction of the
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// supplied image within this range.
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// supplied image within this range.
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// If not specified, defaults to {f:0.05 f:1}
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// If not specified, defaults to {f:0.05 f:1}
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func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr {
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func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["area_range"] = value
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m["area_range"] = value
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@ -19052,7 +19052,7 @@ func ImageSummaryMaxImages(value int64) ImageSummaryAttr {
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// ImageSummaryBadColor sets the optional bad_color attribute to value.
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// ImageSummaryBadColor sets the optional bad_color attribute to value.
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//
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//
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// value: Color to use for pixels with non-finite values.
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// value: Color to use for pixels with non-finite values.
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// 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}
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// 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}
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func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr {
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func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["bad_color"] = value
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m["bad_color"] = value
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@ -20047,7 +20047,7 @@ func Conv3DBackpropFilterV2DataFormat(value string) Conv3DBackpropFilterV2Attr {
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// filter element on that dimension. The dimension order is determined by the
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// filter element on that dimension. The dimension order is determined by the
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// value of `data_format`, see above for details. Dilations in the batch and
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// value of `data_format`, see above for details. Dilations in the batch and
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// depth dimensions must be 1.
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// depth dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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func Conv3DBackpropFilterV2Dilations(value []int64) Conv3DBackpropFilterV2Attr {
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func Conv3DBackpropFilterV2Dilations(value []int64) Conv3DBackpropFilterV2Attr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -21344,7 +21344,7 @@ func Conv2DBackpropInputDataFormat(value string) Conv2DBackpropInputAttr {
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// element on that dimension. The dimension order is determined by the value of
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// element on that dimension. The dimension order is determined by the value of
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// `data_format`, see above for details. Dilations in the batch and depth
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// `data_format`, see above for details. Dilations in the batch and depth
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// dimensions must be 1.
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// dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func Conv2DBackpropInputDilations(value []int64) Conv2DBackpropInputAttr {
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func Conv2DBackpropInputDilations(value []int64) Conv2DBackpropInputAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22052,7 +22052,7 @@ func Conv2DDataFormat(value string) Conv2DAttr {
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// filter element on that dimension. The dimension order is determined by the
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// filter element on that dimension. The dimension order is determined by the
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// value of `data_format`, see above for details. Dilations in the batch and
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// value of `data_format`, see above for details. Dilations in the batch and
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// depth dimensions must be 1.
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// depth dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func Conv2DDilations(value []int64) Conv2DAttr {
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func Conv2DDilations(value []int64) Conv2DAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22248,7 +22248,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeOutType(value tf.DataTy
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// QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations sets the optional dilations attribute to value.
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// QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations sets the optional dilations attribute to value.
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//
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//
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// value: List of dilation values.
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// value: List of dilation values.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr {
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func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22317,7 +22317,7 @@ func QuantizedDepthwiseConv2DWithBiasAndReluOutType(value tf.DataType) Quantized
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// QuantizedDepthwiseConv2DWithBiasAndReluDilations sets the optional dilations attribute to value.
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// QuantizedDepthwiseConv2DWithBiasAndReluDilations sets the optional dilations attribute to value.
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//
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//
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// value: List of dilation values.
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// value: List of dilation values.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedDepthwiseConv2DWithBiasAndReluDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr {
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func QuantizedDepthwiseConv2DWithBiasAndReluDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22432,7 +22432,7 @@ func QuantizedDepthwiseConv2DWithBiasOutType(value tf.DataType) QuantizedDepthwi
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// QuantizedDepthwiseConv2DWithBiasDilations sets the optional dilations attribute to value.
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// QuantizedDepthwiseConv2DWithBiasDilations sets the optional dilations attribute to value.
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//
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//
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// value: List of dilation values.
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// value: List of dilation values.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedDepthwiseConv2DWithBiasDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAttr {
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func QuantizedDepthwiseConv2DWithBiasDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22491,7 +22491,7 @@ func QuantizedDepthwiseConv2DOutType(value tf.DataType) QuantizedDepthwiseConv2D
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// QuantizedDepthwiseConv2DDilations sets the optional dilations attribute to value.
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// QuantizedDepthwiseConv2DDilations sets the optional dilations attribute to value.
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//
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//
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// value: List of dilation values.
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// value: List of dilation values.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedDepthwiseConv2DDilations(value []int64) QuantizedDepthwiseConv2DAttr {
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func QuantizedDepthwiseConv2DDilations(value []int64) QuantizedDepthwiseConv2DAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22665,7 +22665,7 @@ func QuantizedConv2DPerChannelOutType(value tf.DataType) QuantizedConv2DPerChann
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// QuantizedConv2DPerChannelDilations sets the optional dilations attribute to value.
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// QuantizedConv2DPerChannelDilations sets the optional dilations attribute to value.
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//
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//
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// value: list of dilation values.
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// value: list of dilation values.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedConv2DPerChannelDilations(value []int64) QuantizedConv2DPerChannelAttr {
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func QuantizedConv2DPerChannelDilations(value []int64) QuantizedConv2DPerChannelAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -22856,7 +22856,7 @@ func Conv3DBackpropInputV2DataFormat(value string) Conv3DBackpropInputV2Attr {
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// filter element on that dimension. The dimension order is determined by the
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// filter element on that dimension. The dimension order is determined by the
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// value of `data_format`, see above for details. Dilations in the batch and
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// value of `data_format`, see above for details. Dilations in the batch and
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// depth dimensions must be 1.
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// depth dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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func Conv3DBackpropInputV2Dilations(value []int64) Conv3DBackpropInputV2Attr {
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func Conv3DBackpropInputV2Dilations(value []int64) Conv3DBackpropInputV2Attr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -25430,7 +25430,7 @@ func DepthwiseConv2dNativeDataFormat(value string) DepthwiseConv2dNativeAttr {
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// element on that dimension. The dimension order is determined by the value of
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// element on that dimension. The dimension order is determined by the value of
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// `data_format`, see above for details. Dilations in the batch and depth
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// `data_format`, see above for details. Dilations in the batch and depth
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// dimensions must be 1.
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// dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func DepthwiseConv2dNativeDilations(value []int64) DepthwiseConv2dNativeAttr {
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func DepthwiseConv2dNativeDilations(value []int64) DepthwiseConv2dNativeAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -25487,7 +25487,7 @@ func DepthwiseConv2dNative(scope *Scope, input tf.Output, filter tf.Output, stri
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type Conv3DBackpropInputAttr func(optionalAttr)
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type Conv3DBackpropInputAttr func(optionalAttr)
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// Conv3DBackpropInputDilations sets the optional dilations attribute to value.
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// Conv3DBackpropInputDilations sets the optional dilations attribute to value.
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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func Conv3DBackpropInputDilations(value []int64) Conv3DBackpropInputAttr {
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func Conv3DBackpropInputDilations(value []int64) Conv3DBackpropInputAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -25819,7 +25819,7 @@ func DepthwiseConv2dNativeBackpropInputDataFormat(value string) DepthwiseConv2dN
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// element on that dimension. The dimension order is determined by the value of
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// element on that dimension. The dimension order is determined by the value of
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// `data_format`, see above for details. Dilations in the batch and depth
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// `data_format`, see above for details. Dilations in the batch and depth
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// dimensions must be 1.
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// dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func DepthwiseConv2dNativeBackpropInputDilations(value []int64) DepthwiseConv2dNativeBackpropInputAttr {
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func DepthwiseConv2dNativeBackpropInputDilations(value []int64) DepthwiseConv2dNativeBackpropInputAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -26442,7 +26442,7 @@ func QuantizedConv2DOutType(value tf.DataType) QuantizedConv2DAttr {
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// filter element on that dimension. The dimension order is determined by the
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// filter element on that dimension. The dimension order is determined by the
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// value of `data_format`, see above for details. Dilations in the batch and
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// value of `data_format`, see above for details. Dilations in the batch and
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// depth dimensions must be 1.
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// depth dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func QuantizedConv2DDilations(value []int64) QuantizedConv2DAttr {
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func QuantizedConv2DDilations(value []int64) QuantizedConv2DAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -27470,7 +27470,7 @@ func Conv3DDataFormat(value string) Conv3DAttr {
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// filter element on that dimension. The dimension order is determined by the
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// filter element on that dimension. The dimension order is determined by the
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// value of `data_format`, see above for details. Dilations in the batch and
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// value of `data_format`, see above for details. Dilations in the batch and
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// depth dimensions must be 1.
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// depth dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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func Conv3DDilations(value []int64) Conv3DAttr {
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func Conv3DDilations(value []int64) Conv3DAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -33848,7 +33848,7 @@ func SparseReduceMax(scope *Scope, input_indices tf.Output, input_values tf.Outp
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type Conv3DBackpropFilterAttr func(optionalAttr)
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type Conv3DBackpropFilterAttr func(optionalAttr)
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// Conv3DBackpropFilterDilations sets the optional dilations attribute to value.
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// Conv3DBackpropFilterDilations sets the optional dilations attribute to value.
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1 i:1}
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func Conv3DBackpropFilterDilations(value []int64) Conv3DBackpropFilterAttr {
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func Conv3DBackpropFilterDilations(value []int64) Conv3DBackpropFilterAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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@ -45237,7 +45237,7 @@ func Conv2DBackpropFilterDataFormat(value string) Conv2DBackpropFilterAttr {
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// element on that dimension. The dimension order is determined by the value of
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// element on that dimension. The dimension order is determined by the value of
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// `data_format`, see above for details. Dilations in the batch and depth
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// `data_format`, see above for details. Dilations in the batch and depth
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// dimensions must be 1.
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// dimensions must be 1.
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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// If not specified, defaults to {i:1 i:1 i:1 i:1}
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func Conv2DBackpropFilterDilations(value []int64) Conv2DBackpropFilterAttr {
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func Conv2DBackpropFilterDilations(value []int64) Conv2DBackpropFilterAttr {
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return func(m optionalAttr) {
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return func(m optionalAttr) {
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m["dilations"] = value
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m["dilations"] = value
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