tf.dtypes.DType     View source on GitHub    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()
 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.
 


 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 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.