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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/embedding.proto) |

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.

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| ## 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`. |

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## Methods

### `create_from_pb2`

[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/embedding.proto)

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

Creates a `FeatureVector` object from the given protobuf object.

### `to_pb2`

[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/embedding.proto)

    to_pb2() -> _FeatureVectorProto

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

### `__eq__`

[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/embedding.proto)

    __eq__(
        other: Any
    ) -> bool

Checks if this object is equal to the given object.

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| Args ||
|---|---|
| `other` | The object to be compared with. |

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| Returns ||
|---|---|
| True if the objects are equal. ||

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