tf.dtypes.DType

Represents the type of the elements in a Tensor.

View aliases

Main aliases

tf.DType

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.DType, tf.compat.v1.dtypes.DType

tf.dtypes.DType(
    type_enum
)

The following DType objects are defined:

• tf.float16: 16-bit half-precision floating-point.
• tf.float32: 32-bit single-precision floating-point.
• tf.float64: 64-bit double-precision floating-point.
• tf.bfloat16: 16-bit truncated floating-point.
• tf.complex64: 64-bit single-precision complex.
• tf.complex128: 128-bit double-precision complex.
• tf.int8: 8-bit signed integer.
• tf.uint8: 8-bit unsigned integer.
• tf.uint16: 16-bit unsigned integer.
• tf.uint32: 32-bit unsigned integer.
• tf.uint64: 64-bit unsigned integer.
• tf.int16: 16-bit signed integer.
• tf.int32: 32-bit signed integer.
• tf.int64: 64-bit signed integer.
• tf.bool: Boolean.
• tf.string: String.
• tf.qint8: Quantized 8-bit signed integer.
• tf.quint8: Quantized 8-bit unsigned integer.
• tf.qint16: Quantized 16-bit signed integer.
• tf.quint16: Quantized 16-bit unsigned integer.
• tf.qint32: Quantized 32-bit signed integer.
• tf.resource: Handle to a mutable resource.
• tf.variant: Values of arbitrary types.

The tf.as_dtype() function converts numpy types and string type names to a DType object.

Args
type_enum	A types_pb2.DataType enum value.

Raises
TypeError	If type_enum is not a value types_pb2.DataType.

Attributes
as_datatype_enum	Returns a types_pb2.DataType enum value based on this DType.
as_numpy_dtype	Returns a numpy.dtype 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
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	Returns the string name for this DType.
real_dtype	Returns the dtype correspond to this dtype's real part.
size

Methods

is_compatible_with

View source

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__

View source

__eq__(
    other
)

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

__ne__

View source

__ne__(
    other
)

Returns True iff self != other.