Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 351646076 Change-Id: Icb77452f8e5448e0347e158f1fae9b1682c6fff1
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@ -49119,6 +49119,37 @@ func ReverseSequence(scope *Scope, input tf.Output, seq_lengths tf.Output, seq_d
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return op.Output(0)
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return op.Output(0)
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}
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}
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// DataServiceDatasetV2Attr is an optional argument to DataServiceDatasetV2.
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type DataServiceDatasetV2Attr func(optionalAttr)
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// DataServiceDatasetV2TaskRefreshIntervalHintMs sets the optional task_refresh_interval_hint_ms attribute to value.
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// If not specified, defaults to -1
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func DataServiceDatasetV2TaskRefreshIntervalHintMs(value int64) DataServiceDatasetV2Attr {
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return func(m optionalAttr) {
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m["task_refresh_interval_hint_ms"] = value
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}
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}
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// Creates a dataset that reads data from the tf.data service.
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func DataServiceDatasetV2(scope *Scope, dataset_id tf.Output, processing_mode tf.Output, address tf.Output, protocol tf.Output, job_name tf.Output, consumer_index tf.Output, num_consumers tf.Output, max_outstanding_requests tf.Output, iteration_counter tf.Output, output_types []tf.DataType, output_shapes []tf.Shape, optional ...DataServiceDatasetV2Attr) (handle tf.Output) {
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if scope.Err() != nil {
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return
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}
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attrs := map[string]interface{}{"output_types": output_types, "output_shapes": output_shapes}
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for _, a := range optional {
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a(attrs)
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}
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opspec := tf.OpSpec{
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Type: "DataServiceDatasetV2",
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Input: []tf.Input{
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dataset_id, processing_mode, address, protocol, job_name, consumer_index, num_consumers, max_outstanding_requests, iteration_counter,
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},
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Attrs: attrs,
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}
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op := scope.AddOperation(opspec)
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return op.Output(0)
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}
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// Fetches multiple values from infeed as an XLA tuple.
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// Fetches multiple values from infeed as an XLA tuple.
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//
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//
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// Arguments:
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// Arguments:
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