Class TensorBase

java.lang.Object
deepnetts.tensor.TensorBase
All Implemented Interfaces:
Tensor, Serializable
Direct Known Subclasses:
Tensor1D, Tensor2D, Tensor3D, Tensor4D
public class TensorBase extends Object implements Tensor, Serializable
The base call for multidimensional array/tensors. It us used as a basic data structure for storing inputs, outputs and internal parameters(weights) of the deep learning model. Provides common arithmetic operations on tensors, and interface to accelerator devices like GPU.
See Also:

  • Field Details

    • vectorizationImpl

      protected static final TensorVectorizationProvider vectorizationImpl

    • shape

      protected Shape shape

    • numDimensions

      protected int numDimensions

    • values

      protected float[] values
      Values stored in this tensor make it final , only input layer and tests sets values

  • Constructor Details

    • TensorBase

      protected TensorBase(Shape shape)

    • TensorBase

      public TensorBase(Shape shape, float... values)

    • TensorBase

      protected TensorBase(TensorBase t)
      Public deep copy / clone constructor.
      Parameters:
      t -

  • Method Details

    • clone

      public Object clone()
      Overrides:
      clone in class Object

    • getValues

      public final float[] getValues()
      Description copied from interface: Tensor
      Returns an array of values/elements stored in this tensor.
      Specified by:
      getValues in interface Tensor
      Returns:

    • setValues

      public final void setValues(float... values)

    • copyFrom

      public final void copyFrom(float[] src)

    • copyFrom

      public final void copyFrom(TensorBase src)
      Copies values from specified tensor
      Parameters:
      src -

    • numDimensions

      public final int numDimensions()
      Rank corresponds to number of dimensions in tensor.
      Specified by:
      numDimensions in interface Tensor
      Returns:

    • setShape

      protected void setShape(Shape shape)

    • shape

      public Shape shape()
      Description copied from interface: Tensor
      Returns a shape of this tensor.
      Specified by:
      shape in interface Tensor
      Returns:

    • numElements

      public final int numElements()
      Total number of values in tensor.
      Specified by:
      numElements in interface Tensor
      Returns:

    • toString

      public String toString()
      Overrides:
      toString in class Object

    • toTsr

      public String toTsr()

    • add

      public final TensorBase add(TensorBase t)
      Adds specified tensor t to this tensor.
      Parameters:
      t - tensor to add

    • addInto

      public final TensorBase addInto(TensorBase t, TensorBase result)

    • add

      public final TensorBase add(float val)

    • sub

      public final void sub(TensorBase t)
      Subtracts specified tensor t from this tensor.
      Parameters:
      t - tensor to subtract

    • sub

      public final TensorBase sub(TensorBase t, TensorBase result)

    • sub

      public final void sub(float val)

    • subInplace

      public static final void subInplace(TensorBase t1, TensorBase t2)
      Subtracts tensor t2 from t1. The result is stored in t1.
      Parameters:
      t1 -
      t2 -

    • div

      public final void div(float value)
      Divide all values in this tensor with specified value.
      Parameters:
      value -

    • div

      public final void div(float[] divisors)

    • fill

      public final void fill(float value)
      Fills the entire tensor with specified value.
      Parameters:
      value - value used to fill tensor

    • div

      public final void div(TensorBase t)
      Element-wise divison with specified tensor.
      Parameters:
      t -

    • copy

      public TensorBase copy()

    • apply

      public void apply(Function<Float,Float> f)
      Applies specified function to all elements in tensor in-place.
      Parameters:
      f - function to apply to all elements.

    • apply

      public TensorBase apply(ActivationFunction af)

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object

    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object

    • equals

      public boolean equals(TensorBase t2, float delta)

    • valuesAsString

      public static String valuesAsString(TensorBase[] tensors)

    • setValuesFromString

      public void setValuesFromString(String values)
      Sets tensor values from CSV string.
      Parameters:
      values - string with comma separated tensor values

    • setValuesFromStringTransposed

      public void setValuesFromStringTransposed(String values)

    • sum

      public float sum()

    • sumAbs

      public float sumAbs()
      Returns sum of abs values of this tensor - L1 norm
      Returns:
      L1 norm

    • sumSqr

      public float sumSqr()
      Returns sum of squared values of this tensor - L2 norm
      Returns:
      L2 norm

    • randomize

      public void randomize()
      Randomize all values in tensor

    • multiplyElementWise

      public void multiplyElementWise(TensorBase tensor2)

    • multiply

      public TensorBase multiply(float m)
      Multiplies all the values in tensor with a specified input parameter.
      Parameters:
      m - a multiplier for all values in tensor

    • multiply

      public void multiply(float mul, int idx)

    • sqrt

      public TensorBase sqrt()

    • sqr

      public TensorBase sqr()

    • mean

      public float mean()

    • std

      public float std(float mean)

    • replace

      public void replace(float toReplace, float replaceWith)

    • getOrCreateAccBridge

      public AcceleratorTensorBridge getOrCreateAccBridge()

    • createAcceleratorBridge

      public AcceleratorTensorBridge createAcceleratorBridge()

    • getAcceleratorBridge

      public AcceleratorTensorBridge getAcceleratorBridge()

    • copyToGPU

      public void copyToGPU()

    • copyFromGPU

      public void copyFromGPU()

    • containsNaN

      public boolean containsNaN()