tf.dtypes.DType

Represents the type of the elements in a Tensor.

Main aliases

tf.DType

Compat aliases for migration

See Migration guide for more details.

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.

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.

Attributes
`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

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`.

__eq__(
    other
)

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

__ne__(
    other
)

Returns True iff self != other.