Constant

class onnx_graphsurgeon.Constant(name: str, values: ndarray | LazyValues, data_location: int | None = None)

Bases: Tensor

Represents a Tensor whose value is known.

Parameters:

  • name (str) – The name of the tensor.

  • values (numpy.ndarray) – The values in this tensor, in the form of a NumPy array.

  • data_location (int) – An enum value indicating the location where the tensor data is stored. Generally, this will come from onnx.TensorProto.DataLocation.

to_variable(dtype: dtype | None = None, shape: Sequence[int | str] = [])

Modifies this tensor in-place to convert it to a Variable. This means that all consumers/producers of the tensor will see the update.

Parameters:

  • dtype (Union[numpy.dtype, onnx.TensorProto.DataType]) – The data type of the tensor.

  • shape (Sequence[int]) – The shape of the tensor.

Returns:

self

copy()

Makes a shallow copy of this tensor, omitting input and output information.

Note: Generally, you should only ever make a copy of a Graph.