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tflite_support.task.processor.FeatureVector

A dense feature vector.

  tflite_support 
 . 
 task 
 . 
 processor 
 . 
 FeatureVector 
 ( 
 value 
 : 
 np 
 . 
 ndarray 
 )

Only one of the two fields is ever present. Feature vectors are assumed to be one-dimensional and L2-normalized.

Attributes

value

A NumPy array indidcating the raw output of the embedding layer. The datatype of elements in the array can be either float or uint8 if quantize is set to True in EmbeddingOptions .

Methods

`create_from_pb2`

View source

  @classmethod 
 
  create_from_pb2 
 ( 
 pb2_obj 
 : 
 _FeatureVectorProto 
 ) 
 -> 
 'FeatureVector'

Creates a FeatureVector object from the given protobuf object.

`to_pb2`

View source

  to_pb2 
 () 
 -> 
 _FeatureVectorProto

Generates a protobuf object to pass to the C++ layer.

`eq`

View source

  __eq__ 
 ( 
 other 
 : 
 Any 
 ) 
 -> 
 bool

Checks if this object is equal to the given object.

Args

other

The object to be compared with.

Returns

True if the objects are equal.

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Last updated 2026-05-28 UTC.