Weights¶
-
class
tensorrt.
Weights
(*args, **kwargs)¶ 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.
Variables: - dtype –
DataType
The type of the weights. - size –
int
The number of weights in the array. - nbytes –
int
Total bytes consumed by the elements of the weights buffer.
Overloaded function.
__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: tensorrt.float32
__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 –