Go: Update generated wrapper functions for TensorFlow ops.

PiperOrigin-RevId: 212569958

1 files changed, 58 insertions, 58 deletions

diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go
index e755c37039..322b35dd91 100644
--- a/tensorflow/go/op/wrappers.go
+++ b/tensorflow/go/op/wrappers.go
@@ -3456,6 +3456,36 @@ func BoostedTreesSerializeEnsemble(scope *Scope, tree_ensemble_handle tf.Output)
 	return op.Output(0), op.Output(1)
 }
 
+// Debugging/model interpretability outputs for each example.
+//
+// It traverses all the trees and computes debug metrics for individual examples,
+// such as getting split feature ids and logits after each split along the decision
+// path used to compute directional feature contributions.
+//
+// Arguments:
+//
+//	bucketized_features: A list of rank 1 Tensors containing bucket id for each
+// feature.
+//	logits_dimension: scalar, dimension of the logits, to be used for constructing the protos in
+// examples_debug_outputs_serialized.
+//
+// Returns Output rank 1 Tensor containing a proto serialized as a string for each example.
+func BoostedTreesExampleDebugOutputs(scope *Scope, tree_ensemble_handle tf.Output, bucketized_features []tf.Output, logits_dimension int64) (examples_debug_outputs_serialized tf.Output) {
+	if scope.Err() != nil {
+		return
+	}
+	attrs := map[string]interface{}{"logits_dimension": logits_dimension}
+	opspec := tf.OpSpec{
+		Type: "BoostedTreesExampleDebugOutputs",
+		Input: []tf.Input{
+			tree_ensemble_handle, tf.OutputList(bucketized_features),
+		},
+		Attrs: attrs,
+	}
+	op := scope.AddOperation(opspec)
+	return op.Output(0)
+}
+
 // Computes the sum along sparse segments of a tensor.
 //
 // Like `SparseSegmentSum`, but allows missing ids in `segment_ids`. If an id is
@@ -13892,34 +13922,6 @@ func SparseSoftmaxCrossEntropyWithLogits(scope *Scope, features tf.Output, label
 	return op.Output(0), op.Output(1)
 }
 
-// Fast Fourier transform.
-//
-// Computes the 1-dimensional discrete Fourier transform over the inner-most
-// dimension of `input`.
-//
-// Arguments:
-//	input: A complex64 tensor.
-//
-// Returns A complex64 tensor of the same shape as `input`. The inner-most
-//   dimension of `input` is replaced with its 1D Fourier transform.
-//
-// @compatibility(numpy)
-// Equivalent to np.fft.fft
-// @end_compatibility
-func FFT(scope *Scope, input tf.Output) (output tf.Output) {
-	if scope.Err() != nil {
-		return
-	}
-	opspec := tf.OpSpec{
-		Type: "FFT",
-		Input: []tf.Input{
-			input,
-		},
-	}
-	op := scope.AddOperation(opspec)
-	return op.Output(0)
-}
-
 // Transforms a serialized tensorflow.TensorProto proto into a Tensor.
 //
 // Arguments:
@@ -26636,36 +26638,6 @@ func ConcatenateDataset(scope *Scope, input_dataset tf.Output, another_dataset t
 	return op.Output(0)
 }
 
-// Debugging/model interpretability outputs for each example.
-//
-// It traverses all the trees and computes debug metrics for individual examples,
-// such as getting split feature ids and logits after each split along the decision
-// path used to compute directional feature contributions.
-//
-// Arguments:
-//
-//	bucketized_features: A list of rank 1 Tensors containing bucket id for each
-// feature.
-//	logits_dimension: scalar, dimension of the logits, to be used for constructing the protos in
-// examples_debug_outputs_serialized.
-//
-// Returns Output rank 1 Tensor containing a proto serialized as a string for each example.
-func BoostedTreesExampleDebugOutputs(scope *Scope, tree_ensemble_handle tf.Output, bucketized_features []tf.Output, logits_dimension int64) (examples_debug_outputs_serialized tf.Output) {
-	if scope.Err() != nil {
-		return
-	}
-	attrs := map[string]interface{}{"logits_dimension": logits_dimension}
-	opspec := tf.OpSpec{
-		Type: "BoostedTreesExampleDebugOutputs",
-		Input: []tf.Input{
-			tree_ensemble_handle, tf.OutputList(bucketized_features),
-		},
-		Attrs: attrs,
-	}
-	op := scope.AddOperation(opspec)
-	return op.Output(0)
-}
-
 // Adds a value to the current value of a variable.
 //
 // Any ReadVariableOp with a control dependency on this op is guaranteed to
@@ -28153,6 +28125,34 @@ func IteratorGetNextAsOptional(scope *Scope, iterator tf.Output, output_types []
 	return op.Output(0)
 }
 
+// Fast Fourier transform.
+//
+// Computes the 1-dimensional discrete Fourier transform over the inner-most
+// dimension of `input`.
+//
+// Arguments:
+//	input: A complex64 tensor.
+//
+// Returns A complex64 tensor of the same shape as `input`. The inner-most
+//   dimension of `input` is replaced with its 1D Fourier transform.
+//
+// @compatibility(numpy)
+// Equivalent to np.fft.fft
+// @end_compatibility
+func FFT(scope *Scope, input tf.Output) (output tf.Output) {
+	if scope.Err() != nil {
+		return
+	}
+	opspec := tf.OpSpec{
+		Type: "FFT",
+		Input: []tf.Input{
+			input,
+		},
+	}
+	op := scope.AddOperation(opspec)
+	return op.Output(0)
+}
+
 // Performs a padding as a preprocess during a convolution.
 //
 // Similar to FusedResizeAndPadConv2d, this op allows for an optimized