PipelineArithmeticScope

@RequiresApi(value = 27)
class PipelineArithmeticScope

The scope for arithmetic operations between Tensor in Pipeline.

Note: each individual scope must not contain more than 10 Tensors.

Constructors

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constructor()

Types

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The interim results of arithmetic operations of tensors, which represents an expression tree of tensors involved in the arithmetic operations. In such a tree, each leaf node is a Tensor, where as a non-leaf node denote an arithmetic op.

Functions

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Inverse trigonometric arccosine operation. Computes the elementwise arccosine of a matrix evaluated from the matrix expression.

Inverse trigonometric arccosine operation. Computes the elementwise arccosine of a matrix.

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Inverse trigonometric arcsine operation. Computes the elementwise arcsine of a matrix evaluated from the matrix expression.

Inverse trigonometric arcsine operation. Computes the elementwise arcsine of a matrix.

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Inverse trigonometric arctangent operation. Computes the elementwise arctangent of a matrix evaluated from the matrix expression.

Inverse trigonometric arctangent operation. Computes the elementwise arctangent of a matrix.

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Trigonometric cosine operation. Computes the elementwise cosine of a matrix evaluated from the matrix expression.

Trigonometric cosine operation. Computes the elementwise cosine of a matrix.

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Hyperbolic cosine operation. Computes the elementwise hyperbolic cosine of a matrix evaluated from the matrix expression.

Hyperbolic cosine operation. Computes the elementwise hyperbolic cosine of a matrix.

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Elementwise division. The matrix evaluated from the left-hand-side expression will be divided by the matrix evaluated from the right-hand-side expression element-by-element.

Elementwise division. The matrix evaluated from the left-hand-side expression will be divided by the right-hand-side tensor element-by-element.

Scalar division. The matrix evaluated from the tensor expression will be divided element-by-element by a scalar value.

Elementwise division. The left-hand-side tensor will be divided by the matrix evaluated from the right-hand-side expression element-by-element.

Elementwise division. The left-hand-side tensor will be divided by the right-hand-side tensor element-by-element.

Scalar division. The tensor will be divided element-by-element by a scalar value.

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Matrix inverse operation. Computes the inverse of a matrix evaluated from the square matrix expression.

Matrix inverse operation. Computes the inverse of a square matrix.

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Arithmetic subtraction. The matrix evaluated from the right-hand-side expression will be subtracted from the matrix evaluated from the left-hand-side expression element-by-element.

Arithmetic subtraction. The right-hand-side tensor will be subtracted from the matrix evaluated from the left-hand-side expression element-by-element.

Arithmetic subtraction. A scalar value will be subtracted from the matrix evaluated from the tensor expression element-by-element.

Arithmetic subtraction. The matrix evaluated from the right-hand-side expression will be subtracted from the left-hand-side tensor element-by-element.

Arithmetic subtraction. The right-hand-side tensor will be subtracted from the left-hand-side tensor element-by-element.

Arithmetic subtraction. A scalar value will be subtracted from the tensor element-by-element.

Arithmetic subtraction. The matrix evaluated from the tensor expression will be subtracted from a scalar value element-by-element.

Arithmetic subtraction. The tensor will be subtracted from a scalar value element-by-element.

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Arithmetic addition. The matrices evaluated from the left-hand-side and the right-hand-side expressions will be added element-by-element.

Arithmetic addition. The matrix evaluated from the left-hand-side expression and the right-hand-side tensor will be added element-by-element.

Arithmetic addition. The matrix evaluated from the tensor expression will be added element-by-element with a scalar value.

Arithmetic addition. The left-hand-side tensor and the matrix evaluated from the right-hand-side expression will be added element-by-element.

Arithmetic addition. The left-hand-side and the right-hand-side will be added element-by-element.

Arithmetic addition. The tensor will be added element-by-element with a scalar value.

Arithmetic addition. A scalar value will be added element-by-element to the matrix evaluated from the tensor expression.

Arithmetic addition. A scalar value will be added element-by-element to the tensor.

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Matrix power operation. The matrix evaluated from the tensor expression will be raised to the power of the matrix evaluated from the exponent expression element-by-element.

Matrix power operation. The matrix evaluated from the tensor expression will be raised to the power of the exponent tensor element-by-element.

Scalar power operation. The matrix evaluated from the tensor expression will be raised to the power of a scalar value element-by-element.

Matrix power operation. The tensor will be raised to the power of the matrix evaluated from the exponent expression element-by-element.

Matrix power operation. The tensor will be raised to the power of the exponent tensor.

Scalar power operation. The tensor will be raised to the power of a scalar value element-by-element.

Scalar power operation. A scalar value will be raised to the power of the matrix evaluated from the exponent expression.

Scalar power operation. A scalar value will be raised to the power of the exponent tensor.

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Trigonometric sine operation. Computes the elementwise sine of a matrix evaluated from the matrix expression.

Trigonometric sine operation. Computes the elementwise sine of a matrix.

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Hyperbolic sine operation. Computes the elementwise hyperbolic sine of a matrix evaluated from the matrix expression.

Hyperbolic sine operation. Computes the elementwise hyperbolic sine of a matrix.

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Matrix transpose operation. Computes the transpose of a matrix evaluated from the matrix expression.

Matrix transpose operation. Computes the transpose of a matrix.

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Trigonometric tangent operation. Computes the elementwise tangent of a matrix evaluated from the matrix expression.

Trigonometric tangent operation. Computes the elementwise tangent of a matrix.

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Hyperbolic tangent operation. Computes the elementwise hyperbolic tangent of a matrix evaluated from the matrix expression.

Hyperbolic tangent operation. Computes the elementwise hyperbolic tangent of a matrix.

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Matrix multiplication. The matrices evaluated from the left-hand-side and the right-hand-side expressions will be multiplied using matrix multiplication.

Matrix multiplication. The matrix evaluated from the left-hand-side expression and the right-hand-side tensor will be multiplied using matrix multiplication.

Scalar multiplication. The matrix evaluated from the tensor expression will be multiplied element-by-element with a scalar value.

Matrix multiplication. The left-hand-side tensor and the matrix evaluated from the right-hand-side expression will be multiplied using matrix multiplication rules.

Matrix multiplication. The left-hand-side and the right-hand-side tensors will be multiplied using matrix multiplication rules.

Scalar multiplication. The tensor will be multiplied element-by-element with a scalar value.

Scalar multiplication. A scalar value will be multiplied element-by-element with the matrix evaluated from the tensor expression.

Scalar multiplication. A scalar value will be multiplied element-by-element with the tensor.

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Matrix transpose operation. Computes the transpose of a matrix evaluated from the matrix expression.

Matrix transpose operation. Computes the transpose of a matrix.