tf.dtypes.DType

Represents the type of the elements in a Tensor.

Inherits From: TraceType

tf.dtypes.DType()

DType's are used to specify the output data type for operations which require it, or to inspect the data type of existing Tensor's.

Examples:

tf.constant(1, dtype=tf.int64)
<tf.Tensor: shape=(), dtype=int64, numpy=1>
tf.constant(1.0).dtype
tf.float32

See tf.dtypes for a complete list of DType's defined.

as_datatype_enum Returns a types_pb2.DataType enum value based on this data type.
as_numpy_dtype Returns a Python type object based on this DType.
base_dtype Returns a non-reference DType based on this DType.
is_bool Returns whether this is a boolean data type.
is_complex Returns whether this is a complex floating point type.
is_floating Returns whether this is a (non-quantized, real) floating point type.
is_integer Returns whether this is a (non-quantized) integer type.
is_numpy_compatible Returns whether this data type has a compatible NumPy data type.
is_quantized Returns whether this is a quantized data type.
is_unsigned Returns whether this type is unsigned.

Non-numeric, unordered, and quantized types are not considered unsigned, and this function returns False.

limits Return intensity limits, i.e.

(min, max) tuple, of the dtype. Args: clip_negative : bool, optional If True, clip the negative range (i.e. return 0 for min intensity) even if the image dtype allows negative values. Returns min, max : tuple Lower and upper intensity limits.

max Returns the maximum representable value in this data type.
min Returns the minimum representable value in this data type.
name

real_dtype Returns the DType corresponding to this DType's real part.
size

Methods

experimental_as_proto

View source

experimental_as_proto() -> types_pb2.SerializedDType

Returns a proto representation of the Dtype instance.

experimental_from_proto

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@classmethod
experimental_from_proto(
    proto: types_pb2.SerializedDType
) -> 'DType'

Returns a Dtype instance based on the serialized proto.

experimental_type_proto

View source

@classmethod
experimental_type_proto() -> Type[types_pb2.SerializedDType]

Returns the type of proto associated with DType serialization.

is_compatible_with

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is_compatible_with(
    other
)

Returns True if the other DType will be converted to this DType.

The conversion rules are as follows:

DType(T)       .is_compatible_with(DType(T))        == True

Args
other A DType (or object that may be converted to a DType).

Returns
True if a Tensor of the other DType will be implicitly converted to this DType.

is_subtype_of

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is_subtype_of(
    other: tf.types.experimental.TraceType
) -> bool

See tf.types.experimental.TraceType base class.

most_specific_common_supertype

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most_specific_common_supertype(
    types: Sequence[tf.types.experimental.TraceType]
) -> Optional['DType']

See tf.types.experimental.TraceType base class.

__eq__

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__eq__(
    other
)

Returns True iff this DType refers to the same type as other.

__ne__

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__ne__(
    other
)

Returns True iff self != other.