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tflite_support.task.processor.FeatureVector
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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 2024-05-08 UTC.
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{"lastModified": "Last updated 2024-05-08 UTC."}
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