T
- data type for output()
output@Operator(group="linalg") public final class Cholesky<T> extends PrimitiveOp implements Operand<T>
The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices.
The input has to be symmetric and positive definite. Only the lower-triangular part of the input will be used for this operation. The upper-triangular part will not be read.
The output is a tensor of the same shape as the input containing the Cholesky decompositions for all input submatrices `[..., :, :]`.
Note: The gradient computation on GPU is faster for large matrices but not for large batch dimensions when the submatrices are small. In this case it might be faster to use the CPU.
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> Cholesky<T> |
create(Scope scope,
Operand<T> input)
Factory method to create a class wrapping a new Cholesky operation.
|
Output<T> |
output()
Shape is `[..., M, M]`.
|
equals, hashCode, op, toString
public static <T> Cholesky<T> create(Scope scope, Operand<T> input)
scope
- current scopeinput
- Shape is `[..., M, M]`.public Output<T> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
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