tff.types.FederatedType

An implementation of tff.Type representing federated types in TFF.

Inherits From: Type

View aliases

Main aliases

tff.FederatedType

tff.types.FederatedType(
    member: object,
    placement: tff.framework.PlacementLiteral,
    all_equal: Optional[bool] = None
)

Used in the notebooks

Used in the tutorials
Building Your Own Federated Learning Algorithm Use TFF optimizers in custom iterative process Working with tff's ClientData.

Args
member	An instance of tff.Type or something convertible to it, that represents the type of the member components of each value of this federated type.
placement	The specification of placement that the member components of this federated type are hosted on. Must be either a placement literal such as tff.SERVER or tff.CLIENTS to refer to a globally defined placement, or a placement label to refer to a placement defined in other parts of a type signature. Specifying placement labels is not implemented yet.
all_equal	A bool value that indicates whether all members of the federated type are equal (True), or are allowed to differ (False). If all_equal is None, the value is selected as the default for the placement, e.g., True for tff.SERVER and False for tff.CLIENTS.

Attributes
all_equal
member
placement

Methods

check_abstract

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check_abstract() -> None

Check that this is a tff.AbstractType.

check_assignable_from

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check_assignable_from(
    source_type: 'Type'
) -> None

Raises if values of source_type cannot be cast to this type.

check_equivalent_to

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check_equivalent_to(
    other: 'Type'
) -> None

Raises if values of 'other' cannot be cast to and from this type.

check_federated

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check_federated() -> None

Check that this is a tff.FederatedType.

check_function

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check_function() -> None

Check that this is a tff.FunctionType.

check_identical_to

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check_identical_to(
    other: 'Type'
) -> None

Raises if other and Type are not exactly identical.

check_placement

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check_placement() -> None

Check that this is a tff.PlacementType.

check_sequence

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check_sequence() -> None

Check that this is a tff.SequenceType.

check_struct

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check_struct() -> None

Check that this is a tff.StructType.

check_struct_with_python

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check_struct_with_python() -> None

Check that this is a tff.StructWithPythonType.

check_tensor

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check_tensor() -> None

Check that this is a tff.TensorType.

children

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children() -> Iterator[Type]

Returns a generator yielding immediate child types.

compact_representation

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compact_representation() -> str

Returns the compact string representation of this type.

formatted_representation

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formatted_representation() -> str

Returns the formatted string representation of this type.

is_assignable_from

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is_assignable_from(
    source_type: tff.types.Type
) -> bool

Returns whether values of source_type can be cast to this type.

is_equivalent_to

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is_equivalent_to(
    other: 'Type'
) -> bool

Returns whether values of other can be cast to and from this type.

is_identical_to

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is_identical_to(
    other: 'Type'
) -> bool

Returns whether or not self and other are exactly identical.

__eq__

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__eq__(
    other
)

Determines whether two type definitions are identical.

Note that this notion of equality is stronger than equivalence. Two types with equivalent definitions may not be identical, e.g., if they represent templates with differently named type variables in their definitions.

Args
other	The other type to compare against.

Returns
True if type definitions are syntactically identical (as defined above), otherwise False.

Raises
NotImplementedError	If not implemented in the derived class.

__ne__

View source

__ne__(
    other
)

Return self!=value.