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Represents the type of the elements in a Tensor
.
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.
type_enum
: A types_pb2.DataType
enum value.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
TypeError
: If type_enum
is not a value types_pb2.DataType
.__eq__
__eq__(
other
)
Returns True iff this DType refers to the same type as other
.
__ne__
__ne__(
other
)
Returns True iff self != other.
is_compatible_with
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
other
: A DType
(or object that may be converted to a DType
).True if a Tensor of the other
DType
will be implicitly converted to
this DType
.