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/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
=======================================================================*/

// This class has been generated, DO NOT EDIT!

package org.tensorflow.op.signal;

import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
import org.tensorflow.op.PrimitiveOp;
import org.tensorflow.op.Scope;
import org.tensorflow.op.annotation.Operator;

/**
 */
@Operator(group = "signal")
public final class BatchIfft2d extends PrimitiveOp implements Operand {
  
  /**
   * Factory method to create a class wrapping a new BatchIfft2d operation.
   * 
   * @param scope current scope
   * @param input 
   * @return a new instance of BatchIfft2d
   */
  public static BatchIfft2d create(Scope scope, Operand input) {
    OperationBuilder opBuilder = scope.env().opBuilder("BatchIFFT2D", scope.makeOpName("BatchIfft2d"));
    opBuilder.addInput(input.asOutput());
    opBuilder = scope.applyControlDependencies(opBuilder);
    return new BatchIfft2d(opBuilder.build());
  }
  
  /**
   */
  public Output output() {
    return output;
  }
  
  @Override
  @SuppressWarnings("unchecked")
  public Output asOutput() {
    return (Output) output;
  }
  
  private Output output;
  
  private BatchIfft2d(Operation operation) {
    super(operation);
    int outputIdx = 0;
    output = operation.output(outputIdx++);
  }
}
    

    

    

            

    

            



    
    






    
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