How a layer uses particular Weights. The power weights of an IScaleLayer are omitted. Refitting those is not supported.
An array of weights used as a layer parameter. The weights are held by reference until the engine has been built - deep copies are not made automatically.
- dtype –
DataTypeThe type of the weights.
- size –
intThe number of weights in the array.
- nbytes –
intTotal bytes consumed by the elements of the weights buffer.
__init__(self: tensorrt.tensorrt.Weights, type: tensorrt.tensorrt.DataType = DataType.FLOAT) -> None
Initializes an empty (0-length) Weights object with the specified type.
type: A type to initialize the weights with. Default:
__init__(self: tensorrt.tensorrt.Weights, a: array) -> None
a: A numpy array whose values to use. No deep copies are made.
numpy(self: tensorrt.tensorrt.Weights) → array¶
Create a numpy array using the underlying buffer of this weights object.
Returns: A new numpy array that holds a reference to this weight object’s buffer - no deep copy is made.
- dtype –