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tf.dtypes.DType

TensorFlow 1 version View source on GitHub

Represents the type of the elements in a Tensor.

The following DType objects are defined:

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

type_enum A types_pb2.DataType enum value.

TypeError If type_enum is not a value types_pb2.DataType.

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

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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__

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

__ne__

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Returns True iff self != other.