Uses of Class
deepnetts.tensor.Tensor2D

Packages that use Tensor2D

Package	Description
deepnetts.cudnn
deepnetts.tensor

Uses of Tensor2D in deepnetts.cudnn

Constructors in deepnetts.cudnn with parameters of type Tensor2D

Modifier	Constructor	Description
	CudaTensorBridge(Tensor2D tensor, boolean isBatch)

Uses of Tensor2D in deepnetts.tensor

Methods in deepnetts.tensor that return Tensor2D

Modifier and Type	Method	Description
final Tensor2D	Tensor2D.add(Tensor1D toAdd)
static Tensor2D	Tensors.create(int rows, int cols, float[] values)	Factory method for creating tensor instance,
Tensor2D	Tensor2D.dotProd(Tensor2D matrixB, Tensor2D result)	Performs dot product operation on this tensor and matrib, and stores results in result tensor.
static Tensor2D	Tensor2D.fromFile(String filePath)
Tensor2D	Tensor2D.getTransposed()
static Tensor2D	Tensors.random(int rows, int cols)	Create and return a tensor with specified number of rows and cols filled with random values.

Methods in deepnetts.tensor with parameters of type Tensor2D

Modifier and Type	Method	Description
Tensor2D	Tensor2D.dotProd(Tensor2D matrixB, Tensor2D result)	Performs dot product operation on this tensor and matrib, and stores results in result tensor.
static Tensor1D	Tensors.dotProduct(Tensor2D matrixA, Tensor1D vectorB, Tensor1D resultC)	Dot product matrix vector multiplication C = A .
static void	Tensors.dotProduct(Tensor2D matrixA, Tensor2D matrixB, Tensor2D result)
static void	Tensors.dotProductBuffered(Tensor2D matrixA, Tensor1D vectorB, Tensor1D resultC)	Matrix vector dot product.
static void	Tensors.dotProductBuffered(Tensor2D matrixA, Tensor2D matrixB, Tensor2D result)