Tensors (libtensorflow 1.7.0-rc0 API)

java.lang.Object
- org.tensorflow.Tensors

```
public final class Tensors
extends Object
```
Type-safe factory methods for creating Tensor objects.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static Tensor<Boolean>`	`create(boolean data)` Creates a scalar tensor containing a single `boolean` element.
`static Tensor<Boolean>`	`create(boolean[] data)` Creates a rank-1 tensor of `boolean` elements.
`static Tensor<Boolean>`	`create(boolean[][] data)` Creates a rank-2 tensor of `boolean` elements.
`static Tensor<Boolean>`	`create(boolean[][][] data)` Creates a rank-3 tensor of `boolean` elements.
`static Tensor<Boolean>`	`create(boolean[][][][] data)` Creates a rank-4 tensor of `boolean` elements.
`static Tensor<Boolean>`	`create(boolean[][][][][] data)` Creates a rank-5 tensor of `boolean` elements.
`static Tensor<Boolean>`	`create(boolean[][][][][][] data)` Creates a rank-6 tensor of `boolean` elements.
`static Tensor<String>`	`create(byte[] data)` Creates a scalar tensor containing a single `byte` element.
`static Tensor<String>`	`create(byte[][] data)` Creates a rank-1 tensor of `byte` elements.
`static Tensor<String>`	`create(byte[][][] data)` Creates a rank-2 tensor of `byte` elements.
`static Tensor<String>`	`create(byte[][][][] data)` Creates a rank-3 tensor of `byte` elements.
`static Tensor<String>`	`create(byte[][][][][] data)` Creates a rank-4 tensor of `byte` elements.
`static Tensor<String>`	`create(byte[][][][][][] data)` Creates a rank-5 tensor of `byte` elements.
`static Tensor<Double>`	`create(double data)` Creates a scalar tensor containing a single `double` element.
`static Tensor<Double>`	`create(double[] data)` Creates a rank-1 tensor of `double` elements.
`static Tensor<Double>`	`create(double[][] data)` Creates a rank-2 tensor of `double` elements.
`static Tensor<Double>`	`create(double[][][] data)` Creates a rank-3 tensor of `double` elements.
`static Tensor<Double>`	`create(double[][][][] data)` Creates a rank-4 tensor of `double` elements.
`static Tensor<Double>`	`create(double[][][][][] data)` Creates a rank-5 tensor of `double` elements.
`static Tensor<Double>`	`create(double[][][][][][] data)` Creates a rank-6 tensor of `double` elements.
`static Tensor<Float>`	`create(float data)` Creates a scalar tensor containing a single `float` element.
`static Tensor<Float>`	`create(float[] data)` Creates a rank-1 tensor of `float` elements.
`static Tensor<Float>`	`create(float[][] data)` Creates a rank-2 tensor of `float` elements.
`static Tensor<Float>`	`create(float[][][] data)` Creates a rank-3 tensor of `float` elements.
`static Tensor<Float>`	`create(float[][][][] data)` Creates a rank-4 tensor of `float` elements.
`static Tensor<Float>`	`create(float[][][][][] data)` Creates a rank-5 tensor of `float` elements.
`static Tensor<Float>`	`create(float[][][][][][] data)` Creates a rank-6 tensor of `float` elements.
`static Tensor<Integer>`	`create(int data)` Creates a scalar tensor containing a single `int` element.
`static Tensor<Integer>`	`create(int[] data)` Creates a rank-1 tensor of `int` elements.
`static Tensor<Integer>`	`create(int[][] data)` Creates a rank-2 tensor of `int` elements.
`static Tensor<Integer>`	`create(int[][][] data)` Creates a rank-3 tensor of `int` elements.
`static Tensor<Integer>`	`create(int[][][][] data)` Creates a rank-4 tensor of `int` elements.
`static Tensor<Integer>`	`create(int[][][][][] data)` Creates a rank-5 tensor of `int` elements.
`static Tensor<Integer>`	`create(int[][][][][][] data)` Creates a rank-6 tensor of `int` elements.
`static Tensor<Long>`	`create(long data)` Creates a scalar tensor containing a single `long` element.
`static Tensor<Long>`	`create(long[] data)` Creates a rank-1 tensor of `long` elements.
`static Tensor<Long>`	`create(long[][] data)` Creates a rank-2 tensor of `long` elements.
`static Tensor<Long>`	`create(long[][][] data)` Creates a rank-3 tensor of `long` elements.
`static Tensor<Long>`	`create(long[][][][] data)` Creates a rank-4 tensor of `long` elements.
`static Tensor<Long>`	`create(long[][][][][] data)` Creates a rank-5 tensor of `long` elements.
`static Tensor<Long>`	`create(long[][][][][][] data)` Creates a rank-6 tensor of `long` elements.
`static Tensor<String>`	`create(String data)` Creates a scalar String tensor using the default, UTF-8 encoding.
`static Tensor<String>`	`create(String data, Charset charset)` Creates a scalar String tensor using a specified encoding.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - create
```
public static Tensor<String> create(String data)
```
    Creates a scalar String tensor using the default, UTF-8 encoding.
    
    Parameters:
    
    data - The string to put into the new scalar tensor.
  - create
```
public static Tensor<String> create(String data,
                                    Charset charset)
```
    Creates a scalar String tensor using a specified encoding.
    
    Parameters:
    
    charset - The encoding from String to bytes.
    
    data - The string to put into the new scalar tensor.
  - create
```
public static Tensor<Float> create(float data)
```
    Creates a scalar tensor containing a single float element.
    
    Parameters:
    
    data - The value to put into the new scalar tensor.
  - create
```
public static Tensor<Float> create(float[] data)
```
    Creates a rank-1 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Float> create(float[][] data)
```
    Creates a rank-2 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Float> create(float[][][] data)
```
    Creates a rank-3 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Float> create(float[][][][] data)
```
    Creates a rank-4 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Float> create(float[][][][][] data)
```
    Creates a rank-5 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Float> create(float[][][][][][] data)
```
    Creates a rank-6 tensor of float elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double data)
```
    Creates a scalar tensor containing a single double element.
    
    Parameters:
    
    data - The value to put into the new scalar tensor.
  - create
```
public static Tensor<Double> create(double[] data)
```
    Creates a rank-1 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double[][] data)
```
    Creates a rank-2 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double[][][] data)
```
    Creates a rank-3 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double[][][][] data)
```
    Creates a rank-4 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double[][][][][] data)
```
    Creates a rank-5 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Double> create(double[][][][][][] data)
```
    Creates a rank-6 tensor of double elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int data)
```
    Creates a scalar tensor containing a single int element.
    
    Parameters:
    
    data - The value to put into the new scalar tensor.
  - create
```
public static Tensor<Integer> create(int[] data)
```
    Creates a rank-1 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int[][] data)
```
    Creates a rank-2 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int[][][] data)
```
    Creates a rank-3 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int[][][][] data)
```
    Creates a rank-4 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int[][][][][] data)
```
    Creates a rank-5 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Integer> create(int[][][][][][] data)
```
    Creates a rank-6 tensor of int elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<String> create(byte[] data)
```
    Creates a scalar tensor containing a single byte element.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<String> create(byte[][] data)
```
    Creates a rank-1 tensor of byte elements.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<String> create(byte[][][] data)
```
    Creates a rank-2 tensor of byte elements.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<String> create(byte[][][][] data)
```
    Creates a rank-3 tensor of byte elements.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<String> create(byte[][][][][] data)
```
    Creates a rank-4 tensor of byte elements.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<String> create(byte[][][][][][] data)
```
    Creates a rank-5 tensor of byte elements.
    
    Parameters:
    
    data - An array containing the data to put into the new tensor. String elements are sequences of bytes from the last array dimension.
  - create
```
public static Tensor<Long> create(long data)
```
    Creates a scalar tensor containing a single long element.
    
    Parameters:
    
    data - The value to put into the new scalar tensor.
  - create
```
public static Tensor<Long> create(long[] data)
```
    Creates a rank-1 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Long> create(long[][] data)
```
    Creates a rank-2 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Long> create(long[][][] data)
```
    Creates a rank-3 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Long> create(long[][][][] data)
```
    Creates a rank-4 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Long> create(long[][][][][] data)
```
    Creates a rank-5 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Long> create(long[][][][][][] data)
```
    Creates a rank-6 tensor of long elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean data)
```
    Creates a scalar tensor containing a single boolean element.
    
    Parameters:
    
    data - The value to put into the new scalar tensor.
  - create
```
public static Tensor<Boolean> create(boolean[] data)
```
    Creates a rank-1 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean[][] data)
```
    Creates a rank-2 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean[][][] data)
```
    Creates a rank-3 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean[][][][] data)
```
    Creates a rank-4 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean[][][][][] data)
```
    Creates a rank-5 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.
  - create
```
public static Tensor<Boolean> create(boolean[][][][][][] data)
```
    Creates a rank-6 tensor of boolean elements.
    
    Parameters:
    
    data - An array containing the values to put into the new tensor. The dimensions of the new tensor will match those of the array.

Class Tensors

Method Summary

Methods inherited from class java.lang.Object

Method Detail

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