NDManager (Deep Java Library 0.12.0 API specification)

All Superinterfaces:

java.lang.AutoCloseable

All Known Implementing Classes:

BaseNDManager
```
public interface NDManager
extends java.lang.AutoCloseable
```
NDArray managers are used to create NDArrays (n-dimensional array on native engine).
NDManager is implemented in each deep learning Engine. NDArrays are resources that are allocated in each deep learning engine's native memory space. NDManager is the key class that manages these native resources.
NDArray can only be created through NDManager. By default, NDArray's lifecycle is attached to the creator NDManager. NDManager itself implements AutoCloseable. When NDManager is closed, all the resource associated with it will be closed as well.
A typical place to obtain NDManager is in PreProcessor.processInput(TranslatorContext, Object) or PostProcessor.processOutput(TranslatorContext, NDList).
The following is an example of how to use NDManager:
```
 public class MyTranslator implements Translator<FloatBuffer, String> {

     @Override
     public NDList processInput(TranslatorContext ctx, FloatBuffer input) {
         NDManager manager = ctx.getNDManager();
         NDArray array = manager.create(shape);
         array.set(input);
         return new NDList(array);
     } // NDArrays created in this method will be closed after method return.
 }
 
```
NDManager has a hierarchical structure; it has a single parent NDManager and has child NDManagers. When the parent NDManager is closed, all children will be closed as well.
The DJL engine manages NDManager's lifecycle by default. You only need to manage the user created child NDManager. The child NDManager becomes useful when you create a large number of temporary NDArrays and want to free the resources earlier than the parent NDManager's lifecycle.
The following is an example of such a use case:
```
 public class MyTranslator implements Translator<List<FloatBuffer>>, String> {

     @Override
     public NDList processInput(TranslatorContext ctx, List<FloatBuffer> input) {
         NDManager manager = ctx.getNDManager();
         NDArray array = manager.create(shape, dataType);
         for (int i = 0; i < input.size(); ++i) {
             try (NDManager childManager = manager.newSubManager()) {
                  NDArray tmp = childManager.create(itemShape);
                  tmp.put(input.get(i);
                  array.put(i, tmp);
             } // NDArray tmp will be closed here
         }
         return new NDList(array);
     }
 }
 
```
You can also close an individual NDArray. NDManager won't close an NDArray that's already been closed. In certain use cases, you might want to return an NDArray outside of NDManager's scope.
See Also:

NDArray, Translator, TranslatorContext.getNDManager(), NDArray Memory Management Guide

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`java.nio.ByteBuffer`	`allocateDirect(int capacity)` Allocates a new engine specific direct byte buffer.
`default NDArray`	`arange(float stop)` Returns evenly spaced values starting from 0.
`default NDArray`	`arange(float start, float stop)` Returns evenly spaced values within a given interval with step 1.
`default NDArray`	`arange(float start, float stop, float step)` Returns evenly spaced values within a given interval.
`NDArray`	`arange(float start, float stop, float step, DataType dataType)` Returns evenly spaced values within a given interval.
`default NDArray`	`arange(float start, float stop, float step, DataType dataType, Device device)` Returns evenly spaced values within a given interval.
`default NDArray`	`arange(int stop)` Returns evenly spaced values starting from 0.
`default NDArray`	`arange(int start, int stop)` Returns evenly spaced values within a given interval with step 1.
`default NDArray`	`arange(int start, int stop, int step)` Returns evenly spaced values within a given interval.
`default NDArray`	`arange(int start, int stop, int step, DataType dataType)` Returns evenly spaced values within a given interval.
`default void`	`attachAll(NDResource... resources)` Attaches all resources to this manager.
`void`	`attachInternal(java.lang.String resourceId, java.lang.AutoCloseable resource)` Attaches a resource to this `NDManager`.
`void`	`close()`
`default NDArray`	`create(boolean data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(boolean[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(boolean[][] data)` Creates and initializes a 2-D `NDArray`.
`default NDArray`	`create(boolean[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and boolean array.
`default NDArray`	`create(java.nio.Buffer data, Shape shape)` Creates and initializes a `NDArray` with specified `Shape`.
`default NDArray`	`create(java.nio.Buffer data, Shape shape, DataType dataType)` Creates and initializes an instance of `NDArray` with specified `Shape` and `DataType`.
`default NDArray`	`create(byte data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(byte[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(byte[][] data)` Creates and initializes a 2-D `NDArray`.
`default NDArray`	`create(byte[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and byte array.
`default NDArray`	`create(double data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(double[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(double[][] data)` Creates and initializes a 2D `NDArray`.
`default NDArray`	`create(double[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and double array.
`default NDArray`	`create(float data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(float[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(float[][] data)` Creates and initializes a 2D `NDArray`.
`default NDArray`	`create(float[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and float array.
`default NDArray`	`create(int data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(int[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(int[][] data)` Creates and initializes a 2D `NDArray`.
`default NDArray`	`create(int[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and int array.
`default NDArray`	`create(long data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(long[] data)` Creates and initializes a 1D `NDArray`.
`default NDArray`	`create(long[][] data)` Creates and initializes a 2-D `NDArray`.
`default NDArray`	`create(long[] data, Shape shape)` Creates and initializes an instance of `NDArray` with specified `Shape` and long array.
`default NDArray`	`create(java.lang.Number data)` Creates and initializes a scalar `NDArray`.
`default NDArray`	`create(Shape shape)` Creates an uninitialized instance of `DataType.FLOAT32` `NDArray` with specified `Shape`.
`NDArray`	`create(Shape shape, DataType dataType)` Creates an uninitialized instance of `NDArray` with specified `Shape`, and `DataType`.
`default NDArray`	`create(Shape shape, DataType dataType, Device device)` Creates an uninitialized instance of `NDArray` with specified `Shape`, `DataType` and `Device`.
`NDArray`	`create(java.lang.String data)` Creates and initializes a scalar `NDArray`.
`NDArray`	`create(java.lang.String[] data)` Creates and initializes 1D `NDArray`.
`NDArray`	`createCoo(java.nio.Buffer data, long[][] indices, Shape shape)` Creates a Coordinate Format (COO) Matrix.
`NDArray`	`createCSR(java.nio.Buffer data, long[] indptr, long[] indices, Shape shape)` Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
`default NDArray`	`createCSR(java.nio.Buffer data, long[] indptr, long[] indices, Shape shape, Device device)` Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
`default NDArray`	`createCSR(float[] data, long[] indptr, long[] indices, Shape shape, Device device)` Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
`NDArray`	`createRowSparse(java.nio.Buffer data, Shape dataShape, long[] indices, Shape shape)` Stores the matrix in row sparse format.
`default NDArray`	`createRowSparse(java.nio.Buffer data, Shape dataShape, long[] indices, Shape shape, Device device)` Stores the matrix in row sparse format.
`default NDArray`	`decode(byte[] bytes)` Decodes `NDArray` through byte array.
`default NDArray`	`decode(java.io.InputStream is)` Decodes `NDArray` through `DataInputStream`.
`void`	`detachInternal(java.lang.String resourceId)` Detaches a `NDArray` from this `NDManager`'s lifecycle.
`default NDArray`	`eye(int rows)` Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`default NDArray`	`eye(int rows, int k)` Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`default NDArray`	`eye(int rows, int cols, int k)` Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`NDArray`	`eye(int rows, int cols, int k, DataType dataType)` Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`default NDArray`	`eye(int rows, int cols, int k, DataType dataType, Device device)` Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`static NDManager`	`from(NDResource resource)` Creates a new manager based on the given resource.
`default NDArray`	`full(Shape shape, float value)` Return a new `NDArray` of given shape, filled with value.
`NDArray`	`full(Shape shape, float value, DataType dataType)` Return a new `NDArray` of given shape, filled with value.
`default NDArray`	`full(Shape shape, float value, DataType dataType, Device device)` Return a new `NDArray` of given shape, device, filled with value.
`default NDArray`	`full(Shape shape, int value)` Return a new `NDArray` of given shape, filled with value.
`Device`	`getDevice()` Returns the default `Device` of this `NDManager`.
`Engine`	`getEngine()` Returns the `Engine` associated with this manager.
`java.lang.String`	`getName()` Gets the name of the NDManager.
`NDManager`	`getParentManager()` Returns the parent `NDManager`.
`void`	`invoke(java.lang.String operation, NDArray[] src, NDArray[] dest, ai.djl.util.PairList<java.lang.String,?> params)` An engine specific generic invocation to native operation.
`NDList`	`invoke(java.lang.String operation, NDList src, ai.djl.util.PairList<java.lang.String,?> params)` An engine specific generic invocation to native operation.
`boolean`	`isOpen()` Check if the manager is still valid.
`default NDArray`	`linspace(float start, float stop, int num)` Returns evenly spaced numbers over a specified interval.
`NDArray`	`linspace(float start, float stop, int num, boolean endpoint)` Returns evenly spaced numbers over a specified interval.
`default NDArray`	`linspace(float start, float stop, int num, boolean endpoint, Device device)` Returns evenly spaced numbers over a specified interval.
`default NDArray`	`linspace(int start, int stop, int num)` Returns evenly spaced numbers over a specified interval.
`default NDArray`	`linspace(int start, int stop, int num, boolean endpoint)` Returns evenly spaced numbers over a specified interval.
`NDList`	`load(java.nio.file.Path path)` Loads the NDArrays saved to a file.
`default NDList`	`load(java.nio.file.Path path, Device device)` Loads the NDArrays saved to a file.
`static NDManager`	`newBaseManager()` Creates a new top-level `NDManager`.
`static NDManager`	`newBaseManager(Device device)` Creates a new top-level `NDManager` with specified `Device`.
`static NDManager`	`newBaseManager(Device device, java.lang.String engineName)` Creates a new top-level `NDManager` with specified `Device` and engine.
`NDManager`	`newSubManager()` Creates a child `NDManager`.
`NDManager`	`newSubManager(Device device)` Creates a child `NDManager` with specified default `Device`.
`default NDArray`	`ones(Shape shape)` Creates an instance of `NDArray` with specified `Shape` filled with ones.
`NDArray`	`ones(Shape shape, DataType dataType)` Creates an instance of `NDArray` with specified `Shape` filled with ones.
`default NDArray`	`ones(Shape shape, DataType dataType, Device device)` Creates an instance of `NDArray` with specified `Device`, `Shape`, and `DataType` filled with ones.
`NDArray`	`randomInteger(long low, long high, Shape shape, DataType dataType)` Returns random integer values from low (inclusive) to high (exclusive).
`NDArray`	`randomMultinomial(int n, NDArray pValues)` Draw samples from a multinomial distribution.
`NDArray`	`randomMultinomial(int n, NDArray pValues, Shape shape)` Draw samples from a multinomial distribution.
`NDArray`	`randomNormal(float loc, float scale, Shape shape, DataType dataType)` Draws random samples from a normal (Gaussian) distribution.
`default NDArray`	`randomNormal(float loc, float scale, Shape shape, DataType dataType, Device device)` Draws random samples from a normal (Gaussian) distribution.
`default NDArray`	`randomNormal(Shape shape)` Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1.
`default NDArray`	`randomNormal(Shape shape, DataType dataType)` Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1.
`default NDArray`	`randomUniform(float low, float high, Shape shape)` Draws samples from a uniform distribution.
`NDArray`	`randomUniform(float low, float high, Shape shape, DataType dataType)` Draws samples from a uniform distribution.
`default NDArray`	`randomUniform(float low, float high, Shape shape, DataType dataType, Device device)` Draws samples from a uniform distribution.
`default <T extends NDResource> T`	`ret(T resource)` Returns a value outside of this manager by attaching to this manager's parent.
`void`	`setName(java.lang.String name)` Sets the name for the NDManager.
`default void`	`tempAttachAll(NDResource... resources)` Temporarily attaches all resources to this manager.
`void`	`tempAttachInternal(NDManager originalManager, java.lang.String resourceId, NDResource resource)` Temporarily attaches a resource to this `NDManager` to be returned when this is closed.
`NDArray`	`truncatedNormal(float loc, float scale, Shape shape, DataType dataType)` Draws random samples from a normal (Gaussian) distribution, discarding and re-drawing any samples that are more than two standard deviations from the mean.
`default NDArray`	`truncatedNormal(float loc, float scale, Shape shape, DataType dataType, Device device)` Draws random samples from a normal (Gaussian) distribution, discarding and re-drawing any samples that are more than two standard deviations from the mean.
`default NDArray`	`truncatedNormal(Shape shape)` Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1, discarding and re-drawing any samples that are more than two standard deviations from the mean.
`default NDArray`	`truncatedNormal(Shape shape, DataType dataType)` Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1, discarding and re-drawing any samples that are more than two standard deviations from the mean.
`default NDArray`	`zeros(Shape shape)` Creates an instance of `NDArray` with specified `Shape` filled with zeros.
`NDArray`	`zeros(Shape shape, DataType dataType)` Creates an instance of `NDArray` with specified `Shape` filled with zeros.
`default NDArray`	`zeros(Shape shape, DataType dataType, Device device)` Creates an instance of `NDArray` with specified `Device`, `Shape`, and `DataType` filled with zeros.

- Method Detail
  - newBaseManager
```
static NDManager newBaseManager()
```
    Creates a new top-level NDManager.
    NDManager will inherit default Device.
    
    Returns:
    
    a new top-level NDManager
  - newBaseManager
```
static NDManager newBaseManager(Device device)
```
    Creates a new top-level NDManager with specified Device.
    
    Parameters:
    
    device - the default Device
    
    Returns:
    
    a new top-level NDManager
  - newBaseManager
```
static NDManager newBaseManager(Device device,
                                java.lang.String engineName)
```
    Creates a new top-level NDManager with specified Device and engine.
    
    Parameters:
    
    device - the default Device
    
    engineName - the name of the engine
    
    Returns:
    
    a new top-level NDManager
  - from
```
static NDManager from(NDResource resource)
```
    Creates a new manager based on the given resource.
    
    Parameters:
    
    resource - the resource to use
    
    Returns:
    
    a new memory scrope containing the array
  - allocateDirect
```
java.nio.ByteBuffer allocateDirect(int capacity)
```
    Allocates a new engine specific direct byte buffer.
    
    Parameters:
    
    capacity - the new buffer's capacity, in bytes
    
    Returns:
    
    the new byte buffer
  - create
```
default NDArray create(Shape shape)
```
    Creates an uninitialized instance of DataType.FLOAT32 NDArray with specified Shape.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(java.lang.Number data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the Number that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(float data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the float that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(int data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the float data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(double data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the double data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(long data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the long data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(byte data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the byte data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(boolean data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the boolean data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
NDArray create(java.lang.String data)
```
    Creates and initializes a scalar NDArray.
    
    Parameters:
    
    data - the String data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
NDArray create(java.lang.String[] data)
```
    Creates and initializes 1D NDArray.
    
    Parameters:
    
    data - the String data that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(float[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(int[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(double[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(long[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(byte[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(boolean[] data)
```
    Creates and initializes a 1D NDArray.
    
    Parameters:
    
    data - the bool array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(float[][] data)
```
    Creates and initializes a 2D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(int[][] data)
```
    Creates and initializes a 2D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(double[][] data)
```
    Creates and initializes a 2D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(long[][] data)
```
    Creates and initializes a 2-D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(byte[][] data)
```
    Creates and initializes a 2-D NDArray.
    
    Parameters:
    
    data - the float array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(boolean[][] data)
```
    Creates and initializes a 2-D NDArray.
    
    Parameters:
    
    data - the boolean array that needs to be set
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(java.nio.Buffer data,
                       Shape shape)
```
    Creates and initializes a NDArray with specified Shape.
    DataType of the NDArray will determined by type of Buffer.
    
    Parameters:
    
    data - the data to initialize the NDArray
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
NDArray create(Shape shape,
               DataType dataType)
```
    Creates an uninitialized instance of NDArray with specified Shape, and DataType.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(java.nio.Buffer data,
                       Shape shape,
                       DataType dataType)
```
    Creates and initializes an instance of NDArray with specified Shape and DataType.
    
    Parameters:
    
    data - the data to initialize the NDArray
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(float[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and float array.
    
    Parameters:
    
    data - the float array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(int[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and int array.
    
    Parameters:
    
    data - the float array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(double[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and double array.
    
    Parameters:
    
    data - the float array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(long[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and long array.
    
    Parameters:
    
    data - the float array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(byte[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and byte array.
    
    Parameters:
    
    data - the float array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(boolean[] data,
                       Shape shape)
```
    Creates and initializes an instance of NDArray with specified Shape and boolean array.
    
    Parameters:
    
    data - the boolean array that needs to be set
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - create
```
default NDArray create(Shape shape,
                       DataType dataType,
                       Device device)
```
    Creates an uninitialized instance of NDArray with specified Shape, DataType and Device.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createCSR
```
default NDArray createCSR(float[] data,
                          long[] indptr,
                          long[] indices,
                          Shape shape,
                          Device device)
```
    Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
    
    Parameters:
    
    data - the data to set for the CSR Matrix
    
    indptr - the indptr array is what will help identify the rows where the data appears
    
    indices - the indices array stores the column index for each non-zero element in data
    
    shape - the Shape of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createCSR
```
default NDArray createCSR(java.nio.Buffer data,
                          long[] indptr,
                          long[] indices,
                          Shape shape,
                          Device device)
```
    Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
    
    Parameters:
    
    data - the data to set for the CSR Matrix
    
    indptr - the indptr array is what will help identify the rows where the data appears
    
    indices - the indices array stores the column index for each non-zero element in data
    
    shape - the Shape of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createCSR
```
NDArray createCSR(java.nio.Buffer data,
                  long[] indptr,
                  long[] indices,
                  Shape shape)
```
    Creates a Compressed Sparse Row Storage (CSR) Format Matrix.
    
    Parameters:
    
    data - the data to set for the CSR Matrix
    
    indptr - the indptr array is what will help identify the rows where the data appears
    
    indices - the indices array stores the column index for each non-zero element in data
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createRowSparse
```
default NDArray createRowSparse(java.nio.Buffer data,
                                Shape dataShape,
                                long[] indices,
                                Shape shape,
                                Device device)
```
    Stores the matrix in row sparse format.
    
    Parameters:
    
    data - the data to set for the Row Sparse NDArray
    
    dataShape - the Shape of the data NDArray
    
    indices - the indices to store the data
    
    shape - the Shape of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createRowSparse
```
NDArray createRowSparse(java.nio.Buffer data,
                        Shape dataShape,
                        long[] indices,
                        Shape shape)
```
    Stores the matrix in row sparse format.
    
    Parameters:
    
    data - the data to set for the Row Sparse NDArray
    
    dataShape - the Shape of the data NDArray
    
    indices - the indices to store the data
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - createCoo
```
NDArray createCoo(java.nio.Buffer data,
                  long[][] indices,
                  Shape shape)
```
    Creates a Coordinate Format (COO) Matrix.
    
    Parameters:
    
    data - the data to set for the Coordinate format NDArray
    
    indices - the matrix represent indices
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - decode
```
default NDArray decode(byte[] bytes)
```
    Decodes NDArray through byte array.
    
    Parameters:
    
    bytes - byte array to load from
    
    Returns:
    
    NDArray
  - decode
```
default NDArray decode(java.io.InputStream is)
                throws java.io.IOException
```
    Decodes NDArray through DataInputStream.
    
    Parameters:
    
    is - input stream data to load from
    
    Returns:
    
    NDArray
    
    Throws:
    
    java.io.IOException - data is not readable
  - load
```
NDList load(java.nio.file.Path path)
```
    Loads the NDArrays saved to a file.
    
    Parameters:
    
    path - the path to the file
    
    Returns:
    
    the loaded arrays
  - load
```
default NDList load(java.nio.file.Path path,
                    Device device)
```
    Loads the NDArrays saved to a file.
    
    Parameters:
    
    path - the path to the file
    
    device - the device to use for the loaded arrays
    
    Returns:
    
    the loaded arrays
  - setName
```
void setName(java.lang.String name)
```
    Sets the name for the NDManager.
    
    Parameters:
    
    name - the name assigned to the manager
  - getName
```
java.lang.String getName()
```
    Gets the name of the NDManager.
    
    Returns:
    
    name
  - zeros
```
default NDArray zeros(Shape shape)
```
    Creates an instance of NDArray with specified Shape filled with zeros.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
    
    See Also:
    
    zeros(Shape, DataType, Device)
  - zeros
```
NDArray zeros(Shape shape,
              DataType dataType)
```
    Creates an instance of NDArray with specified Shape filled with zeros.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
    
    See Also:
    
    zeros(Shape, DataType, Device)
  - zeros
```
default NDArray zeros(Shape shape,
                      DataType dataType,
                      Device device)
```
    Creates an instance of NDArray with specified Device, Shape, and DataType filled with zeros.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - ones
```
NDArray ones(Shape shape,
             DataType dataType)
```
    Creates an instance of NDArray with specified Shape filled with ones.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - ones
```
default NDArray ones(Shape shape)
```
    Creates an instance of NDArray with specified Shape filled with ones.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - ones
```
default NDArray ones(Shape shape,
                     DataType dataType,
                     Device device)
```
    Creates an instance of NDArray with specified Device, Shape, and DataType filled with ones.
    
    Parameters:
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - full
```
default NDArray full(Shape shape,
                     int value)
```
    Return a new NDArray of given shape, filled with value.
    
    Parameters:
    
    shape - shape of a new NDArray
    
    value - fill value
    
    Returns:
    
    NDArray of fill value with the given shape
  - full
```
default NDArray full(Shape shape,
                     float value)
```
    Return a new NDArray of given shape, filled with value.
    
    Parameters:
    
    shape - shape of a new NDArray
    
    value - fill value
    
    Returns:
    
    NDArray of fill value with the given shape
  - full
```
NDArray full(Shape shape,
             float value,
             DataType dataType)
```
    Return a new NDArray of given shape, filled with value.
    
    Parameters:
    
    shape - shape of a new NDArray
    
    value - fill value
    
    dataType - the desired data-type for the NDArray
    
    Returns:
    
    NDArray of fill value with the given shape
  - full
```
default NDArray full(Shape shape,
                     float value,
                     DataType dataType,
                     Device device)
```
    Return a new NDArray of given shape, device, filled with value.
    
    Parameters:
    
    shape - shape of a new NDArray
    
    value - fill value
    
    dataType - the desired data-type for the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    NDArray of fill value with the given shape
  - arange
```
default NDArray arange(int stop)
```
    Returns evenly spaced values starting from 0.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    stop - the end of the interval. The interval does not include this value
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(float stop)
```
    Returns evenly spaced values starting from 0.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    stop - the end of the interval. The interval does not include this value
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(int start,
                       int stop)
```
    Returns evenly spaced values within a given interval with step 1.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(float start,
                       float stop)
```
    Returns evenly spaced values within a given interval with step 1.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(int start,
                       int stop,
                       int step)
```
    Returns evenly spaced values within a given interval.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    step - the spacing between values
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(float start,
                       float stop,
                       float step)
```
    Returns evenly spaced values within a given interval.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    step - the spacing between values
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(int start,
                       int stop,
                       int step,
                       DataType dataType)
```
    Returns evenly spaced values within a given interval.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    step - the spacing between values
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - arange
```
NDArray arange(float start,
               float stop,
               float step,
               DataType dataType)
```
    Returns evenly spaced values within a given interval.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    step - the spacing between values
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - arange
```
default NDArray arange(float start,
                       float stop,
                       float step,
                       DataType dataType,
                       Device device)
```
    Returns evenly spaced values within a given interval.
    Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments, the function is equivalent to the Python built-in range function, but returns an instance of NDArray rather than a list.
    
    Parameters:
    
    start - the start of interval. The interval includes this value
    
    stop - the end of interval. The interval does not include this value
    
    step - the spacing between values
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - eye
```
default NDArray eye(int rows)
```
    Returns a 2-D array with ones on the diagonal and zeros elsewhere.
    
    Parameters:
    
    rows - the number of rows and cols in the output
    
    Returns:
    
    a NDArray where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one
  - eye
```
default NDArray eye(int rows,
                    int k)
```
    Returns a 2-D array with ones on the diagonal and zeros elsewhere.
    
    Parameters:
    
    rows - the number of rows and cols in the output
    
    k - the index of the diagonal: a positive value refers to an upper diagonal, and a negative value to a lower diagonal
    
    Returns:
    
    a NDArray where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one
  - eye
```
default NDArray eye(int rows,
                    int cols,
                    int k)
```
    Returns a 2-D array with ones on the diagonal and zeros elsewhere.
    
    Parameters:
    
    rows - the number of rows in the output
    
    cols - the number of columns in the output
    
    k - the index of the diagonal: a positive value refers to an upper diagonal, and a negative value to a lower diagonal
    
    Returns:
    
    a NDArray where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one
  - eye
```
NDArray eye(int rows,
            int cols,
            int k,
            DataType dataType)
```
    Returns a 2-D array with ones on the diagonal and zeros elsewhere.
    
    Parameters:
    
    rows - the number of rows int the output
    
    cols - the number of columns in the output
    
    k - the index of the diagonal: a positive value refers to an upper diagonal, and a negative value to a lower diagonal
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    a NDArray where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one
  - eye
```
default NDArray eye(int rows,
                    int cols,
                    int k,
                    DataType dataType,
                    Device device)
```
    Returns a 2-D array with ones on the diagonal and zeros elsewhere.
    
    Parameters:
    
    rows - the number of rows int the output
    
    cols - the number of columns in the output
    
    k - the index of the diagonal: a positive value refers to an upper diagonal, and a negative value to a lower diagonal
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    a NDArray where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one
  - linspace
```
default NDArray linspace(int start,
                         int stop,
                         int num)
```
    Returns evenly spaced numbers over a specified interval.
    Returns num evenly spaced samples, calculated over the interval [start, stop].
    
    Parameters:
    
    start - the starting value of the sequence
    
    stop - the end value of the sequence
    
    num - the number of samples to generate
    
    Returns:
    
    a new instance of NDArray
  - linspace
```
default NDArray linspace(float start,
                         float stop,
                         int num)
```
    Returns evenly spaced numbers over a specified interval.
    Returns num evenly spaced samples, calculated over the interval [start, stop].
    
    Parameters:
    
    start - the starting value of the sequence
    
    stop - the end value of the sequence
    
    num - the number of samples to generate
    
    Returns:
    
    a new instance of NDArray
  - linspace
```
default NDArray linspace(int start,
                         int stop,
                         int num,
                         boolean endpoint)
```
    Returns evenly spaced numbers over a specified interval.
    Returns num evenly spaced samples, calculated over the interval [start, stop].The endpoint of the interval can optionally be excluded.
    
    Parameters:
    
    start - the starting value of the sequence
    
    stop - the end value of the sequence
    
    num - the number of samples to generate
    
    endpoint - if true, stop is the last sample, otherwise, it is not included
    
    Returns:
    
    a new instance of NDArray
  - linspace
```
NDArray linspace(float start,
                 float stop,
                 int num,
                 boolean endpoint)
```
    Returns evenly spaced numbers over a specified interval.
    Returns num evenly spaced samples, calculated over the interval [start, stop].The endpoint of the interval can optionally be excluded.
    
    Parameters:
    
    start - the starting value of the sequence
    
    stop - the end value of the sequence
    
    num - the number of samples to generate
    
    endpoint - if true, stop is the last sample, otherwise, it is not included
    
    Returns:
    
    a new instance of NDArray
  - linspace
```
default NDArray linspace(float start,
                         float stop,
                         int num,
                         boolean endpoint,
                         Device device)
```
    Returns evenly spaced numbers over a specified interval.
    Returns num evenly spaced samples, calculated over the interval [start, stop].The endpoint of the interval can optionally be excluded.
    
    Parameters:
    
    start - the starting value of the sequence
    
    stop - the end value of the sequence
    
    num - the number of samples to generate
    
    endpoint - if true, stop is the last sample, otherwise, it is not included
    
    device - the Device of the NDArray
    
    Returns:
    
    a new instance of NDArray
  - randomInteger
```
NDArray randomInteger(long low,
                      long high,
                      Shape shape,
                      DataType dataType)
```
    Returns random integer values from low (inclusive) to high (exclusive).
    
    Parameters:
    
    low - Lowest (signed) longs to be drawn from the distribution
    
    high - one above the largest (signed) long to be drawn from the distribution
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomUniform
```
default NDArray randomUniform(float low,
                              float high,
                              Shape shape)
```
    Draws samples from a uniform distribution.
    Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform.
    
    Parameters:
    
    low - the lower boundary of the output interval. All values generated will be greater than or equal to low.
    
    high - the upper boundary of the output interval. All values generated will be less than high.
    
    shape - the Shape of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomUniform
```
NDArray randomUniform(float low,
                      float high,
                      Shape shape,
                      DataType dataType)
```
    Draws samples from a uniform distribution.
    Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform.
    
    Parameters:
    
    low - the lower boundary of the output interval. All values generated will be greater than or equal to low.
    
    high - the upper boundary of the output interval. All values generated will be less than high.
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomUniform
```
default NDArray randomUniform(float low,
                              float high,
                              Shape shape,
                              DataType dataType,
                              Device device)
```
    Draws samples from a uniform distribution.
    Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform.
    
    Parameters:
    
    low - the lower boundary of the output interval. All values generated will be greater than or equal to low.
    
    high - the upper boundary of the output interval. All values generated will be less than high.
    
    shape - the Shape of the NDArray
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomNormal
```
default NDArray randomNormal(Shape shape)
```
    Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1.
    Samples are distributed according to a normal distribution parametrized by mean = 0 and standard deviation = 1.
    
    Parameters:
    
    shape - the output Shape
    
    Returns:
    
    the drawn samples NDArray
  - randomNormal
```
default NDArray randomNormal(Shape shape,
                             DataType dataType)
```
    Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1.
    
    Parameters:
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomNormal
```
NDArray randomNormal(float loc,
                     float scale,
                     Shape shape,
                     DataType dataType)
```
    Draws random samples from a normal (Gaussian) distribution.
    
    Parameters:
    
    loc - the mean (centre) of the distribution
    
    scale - the standard deviation (spread or "width") of the distribution
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomNormal
```
default NDArray randomNormal(float loc,
                             float scale,
                             Shape shape,
                             DataType dataType,
                             Device device)
```
    Draws random samples from a normal (Gaussian) distribution.
    
    Parameters:
    
    loc - the mean (centre) of the distribution
    
    scale - the standard deviation (spread or "width") of the distribution
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - truncatedNormal
```
default NDArray truncatedNormal(Shape shape)
```
    Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1, discarding and re-drawing any samples that are more than two standard deviations from the mean.
    Samples are distributed according to a normal distribution parametrized by mean = 0 and standard deviation = 1.
    
    Parameters:
    
    shape - the output Shape
    
    Returns:
    
    the drawn samples NDArray
  - truncatedNormal
```
default NDArray truncatedNormal(Shape shape,
                                DataType dataType)
```
    Draws random samples from a normal (Gaussian) distribution with mean 0 and standard deviation 1, discarding and re-drawing any samples that are more than two standard deviations from the mean.
    
    Parameters:
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - truncatedNormal
```
NDArray truncatedNormal(float loc,
                        float scale,
                        Shape shape,
                        DataType dataType)
```
    Draws random samples from a normal (Gaussian) distribution, discarding and re-drawing any samples that are more than two standard deviations from the mean.
    
    Parameters:
    
    loc - the mean (centre) of the distribution
    
    scale - the standard deviation (spread or "width") of the distribution
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - truncatedNormal
```
default NDArray truncatedNormal(float loc,
                                float scale,
                                Shape shape,
                                DataType dataType,
                                Device device)
```
    Draws random samples from a normal (Gaussian) distribution, discarding and re-drawing any samples that are more than two standard deviations from the mean.
    
    Parameters:
    
    loc - the mean (centre) of the distribution
    
    scale - the standard deviation (spread or "width") of the distribution
    
    shape - the output Shape
    
    dataType - the DataType of the NDArray
    
    device - the Device of the NDArray
    
    Returns:
    
    the drawn samples NDArray
  - randomMultinomial
```
NDArray randomMultinomial(int n,
                          NDArray pValues)
```
    Draw samples from a multinomial distribution.
    The multinomial distribution is a multivariate generalization of the binomial distribution. Take an experiment with one of p possible outcomes. An example of such an experiment is throwing a dice, where the outcome can be 1 through 6. Each sample drawn from the distribution represents n such experiments. Its values, X_i = [X_0, X_1, ..., X_p], represent the number of times the outcome was i.
    
    Parameters:
    
    n - the number of experiments
    
    pValues - the probabilities of each of the p different outcomes. These should sum to 1 The last element is always assumed to account for the remaining probability, as long as pValues.sum().getFloat() <= 1)
    
    Returns:
    
    the drawn samples NDArray
  - randomMultinomial
```
NDArray randomMultinomial(int n,
                          NDArray pValues,
                          Shape shape)
```
    Draw samples from a multinomial distribution.
    The multinomial distribution is a multivariate generalization of the binomial distribution. Take an experiment with one of p possible outcomes. An example of such an experiment is throwing a dice, where the outcome can be 1 through 6. Each sample drawn from the distribution represents n such experiments. Its values, X_i = [X_0, X_1, ..., X_p], represent the number of times the outcome was i.
    
    Parameters:
    
    n - the number of experiments
    
    pValues - the probabilities of each of the p different outcomes. These should sum to 1 The last element is always assumed to account for the remaining probability, as long as pValues.sum().getFloat() <= 1)
    
    shape - the output Shape
    
    Returns:
    
    the drawn samples NDArray
  - isOpen
```
boolean isOpen()
```
    Check if the manager is still valid.
    
    Returns:
    
    the current status
  - getParentManager
```
NDManager getParentManager()
```
    Returns the parent NDManager.
    
    Returns:
    
    the parent NDManager
  - newSubManager
```
NDManager newSubManager()
```
    Creates a child NDManager.
    Child NDManager will inherit default Device from this NDManager.
    
    Returns:
    
    a child NDManager
  - newSubManager
```
NDManager newSubManager(Device device)
```
    Creates a child NDManager with specified default Device.
    
    Parameters:
    
    device - the default Device
    
    Returns:
    
    a child NDManager
  - getDevice
```
Device getDevice()
```
    Returns the default Device of this NDManager.
    
    Returns:
    
    the default Device of this NDManager
  - attachInternal
```
void attachInternal(java.lang.String resourceId,
                    java.lang.AutoCloseable resource)
```
    Attaches a resource to this NDManager.
    The attached resource will be closed when this NDManager is closed.
    This attachment is internal. Many resources will internally track which manager they are attached to. In that case, you should call NDResource.attach(NDManager) instead and that should then call attachInternal.
    
    Parameters:
    
    resourceId - the unique resourceId
    
    resource - the AutoCloseable resource to be attached
  - tempAttachInternal
```
void tempAttachInternal(NDManager originalManager,
                        java.lang.String resourceId,
                        NDResource resource)
```
    Temporarily attaches a resource to this NDManager to be returned when this is closed.
    The attached resource will be returned to it's original manager when this NDManager is closed.
    This attachment is internal. Many resources will internally track which manager they are attached to. In that case, you should call NDResource.attach(NDManager) instead and that should then call tempAttachInternal.
    
    Parameters:
    
    originalManager - the original manager to return the resource to
    
    resourceId - the unique resourceId
    
    resource - the AutoCloseable resource to be attached
  - detachInternal
```
void detachInternal(java.lang.String resourceId)
```
    Detaches a NDArray from this NDManager's lifecycle.
    The detached NDArray become un-managed, it's user's responsibility to close the resource. Failed to close the resource has to wait on GC to be freed, and might cause out of native memory.
    This detach is internal. Many resources will internally track which manager they are attached to. In that case, you should call NDResource.detach() instead and that should then call detachInternal.
    
    Parameters:
    
    resourceId - the resourceId to be removed from this NDManager's lifecycle
  - ret
```
default <T extends NDResource> T ret(T resource)
```
    Returns a value outside of this manager by attaching to this manager's parent.
    
    Type Parameters:
    
    T - the type of the resource
    
    Parameters:
    
    resource - the resource to return
    
    Returns:
    
    the passed in resource, after attaching to a new manager
  - attachAll
```
default void attachAll(NDResource... resources)
```
    Attaches all resources to this manager.
    
    Parameters:
    
    resources - the resources to attach
    
    See Also:
    
    NDResource.attach(NDManager)
  - tempAttachAll
```
default void tempAttachAll(NDResource... resources)
```
    Temporarily attaches all resources to this manager.
    
    Parameters:
    
    resources - the resources to attach
    
    See Also:
    
    NDResource.tempAttach(NDManager)
  - invoke
```
void invoke(java.lang.String operation,
            NDArray[] src,
            NDArray[] dest,
            ai.djl.util.PairList<java.lang.String,?> params)
```
    An engine specific generic invocation to native operation.
    You should avoid using this function if possible. Since this function is engine specific, using this API may cause a portability issue. Native operation may not be compatible between each version.
    
    Parameters:
    
    operation - the native operation to perform
    
    src - the NDList of source NDArray
    
    dest - the NDList to save output to
    
    params - the parameters to be passed to the native operation
    
    Throws:
    
    java.lang.IllegalArgumentException - if operation is not supported by Engine
    
    EngineException - if operation failed in native engine
  - invoke
```
NDList invoke(java.lang.String operation,
              NDList src,
              ai.djl.util.PairList<java.lang.String,?> params)
```
    An engine specific generic invocation to native operation.
    You should avoid using this function if possible. Since this function is engine specific, using this API may cause a portability issue. Native operation may not compatible between each version.
    
    Parameters:
    
    operation - the native operation to perform
    
    src - the NDList of source NDArray
    
    params - the parameters to be passed to the native operation
    
    Returns:
    
    the output array of NDArray
    
    Throws:
    
    java.lang.IllegalArgumentException - if operation is not supported by Engine
    
    EngineException - if operation failed in native engine
  - getEngine
```
Engine getEngine()
```
    Returns the Engine associated with this manager.
    
    Returns:
    
    the Engine associated with this manager
  - close
```
void close()
```
    Specified by:
    
    close in interface java.lang.AutoCloseable

Interface NDManager

Method Summary

Method Detail

newBaseManager

newBaseManager

newBaseManager

from

allocateDirect

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

create

createCSR

createCSR

createCSR

createRowSparse

createRowSparse

createCoo

decode

decode

load

load

setName

getName

zeros

zeros

zeros

ones

ones

ones

full

full

full

full

arange

arange

arange

arange

arange

arange

arange

arange

arange

eye

eye

eye

eye

eye

linspace

linspace

linspace

linspace