/* 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.linalg.sparse;

import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
import org.tensorflow.op.Operands;
import org.tensorflow.op.RawOp;
import org.tensorflow.op.Scope;
import org.tensorflow.op.annotation.Endpoint;
import org.tensorflow.op.annotation.Operator;
import org.tensorflow.types.TInt64;
import org.tensorflow.types.family.TType;

/**
 * Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
 * 
 * @param <T> data type for {@code values()} output
 */
public final class CSRSparseMatrixToSparseTensor<T extends TType> extends RawOp {
  
  /**
   * Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
   * 
   * @param scope current scope
   * @param sparseMatrix A (possibly batched) CSRSparseMatrix.
   * @param type 
   * @return a new instance of CSRSparseMatrixToSparseTensor
   */
  @Endpoint(describeByClass = true)
  public static <T extends TType> CSRSparseMatrixToSparseTensor<T> create(Scope scope, Operand<?> sparseMatrix, Class<T> type) {
    OperationBuilder opBuilder = scope.env().opBuilder("CSRSparseMatrixToSparseTensor", scope.makeOpName("CSRSparseMatrixToSparseTensor"));
    opBuilder.addInput(sparseMatrix.asOutput());
    opBuilder = scope.apply(opBuilder);
    opBuilder.setAttr("type", Operands.toDataType(type));
    return new CSRSparseMatrixToSparseTensor<T>(opBuilder.build());
  }
  
  /**
   * SparseTensor indices.
   */
  public Output<TInt64> indices() {
    return indices;
  }
  
  /**
   * SparseTensor values.
   */
  public Output<T> values() {
    return values;
  }
  
  /**
   * SparseTensor dense shape.
   */
  public Output<TInt64> denseShape() {
    return denseShape;
  }
  
  /** The name of this op, as known by TensorFlow core engine */
  public static final String OP_NAME = "CSRSparseMatrixToSparseTensor";
  
  private Output<TInt64> indices;
  private Output<T> values;
  private Output<TInt64> denseShape;
  
  private CSRSparseMatrixToSparseTensor(Operation operation) {
    super(operation);
    int outputIdx = 0;
    indices = operation.output(outputIdx++);
    values = operation.output(outputIdx++);
    denseShape = operation.output(outputIdx++);
  }
}
