mrpro.operators.MultiIdentityOp

class mrpro.operators.MultiIdentityOp[source]

Bases: EndomorphOperator

The Identity Operator.

An endomorph Operator that returns multiple inputs unchanged.

property H: Self[source]

Adjoint Identity.

__call__(*x: Tensor) → tuple[Tensor, ...][source]

Apply the multi-input identity operation.

This operator returns all input tensors unchanged.

Parameters:

*x (Tensor) – One or more input tensors.

Returns:

The input tensors, unchanged.

adjoint(*x: Tensor) → tuple[Tensor, ...][source]

Apply the adjoint of the multi-input identity operation.

Since the multi-input identity operator is self-adjoint, this method returns all input tensors unchanged.

Parameters:

*x (Tensor) – One or more input tensors.

Returns:

The input tensors, unchanged.

forward(*x: Tensor) → tuple[Tensor, ...][source]

Apply forward of MultiIdentityOp.

Note

Prefer calling the instance of the MultiIdentityOp operator as operator(x) over directly calling this method. See this PyTorch discussion.

__add__(other: Operator[Unpack[Tin], Tout]) → Operator[Unpack[Tin], Tout][source]

__add__(other: Tensor | complex) → Operator[Unpack[Tin], tuple[Unpack[Tin]]]

Operator addition.

Returns lambda x: self(x) + other(x) if other is a operator, lambda x: self(x) + other*x if other is a tensor

__matmul__(other: EndomorphOperator) → EndomorphOperator[source]

__matmul__(other: Operator[Unpack[Tin], Tout]) → Operator[Unpack[Tin], Tout]

Operator composition.

__mul__(other: Tensor | complex) → Operator[Unpack[Tin], Tout][source]

Operator multiplication with tensor.

Returns lambda x: self(x*other)

__radd__(other: Tensor | complex) → Operator[Unpack[Tin], tuple[Unpack[Tin]]][source]

Operator right addition.

Returns lambda x: other*x + self(x)

__rmatmul__(other: Operator[Unpack[Tin], Tout]) → Operator[Unpack[Tin], Tout][source]

Operator composition.

__rmul__(other: Tensor | complex) → Operator[Unpack[Tin], Tout][source]

Operator multiplication with tensor.

Returns lambda x: other*self(x)