fullc

fullc(tensor: Tensor, value: bool | int | float | complex, *, shape: Sequence[int] | Size | None = None, dtype: dtype | None = None, layout: layout | None = None, device: device | None = None, requires_grad: bool | None = None) → Tensor[source]

Returns a float or complex tensor based on input filled with specified value.

This is like full() except if dtype is None and the datatype of tensor is neither floating point nor complex, the default float type will be used.

Parameters:

  • tensor (torch.Tensor) – determines default output properties.

  • value (bool | int | float | complex) – value with to fill the output.

  • shape (Sequence[int] | torch.Size | None, optional) – overrides shape from tensor if specified. Defaults to None.

  • dtype (torch.dtype | None, optional) – overrides data type from tensor if specified. Defaults to None.

  • layout (torch.layout | None, optional) – overrides layout from tensor if specified. Defaults to None.

  • device (torch.device | None, optional) – overrides device from tensor if specified. Defaults to None.

  • requires_grad (bool | None, optional) – overrides gradient requirement from tensor if specified. Defaults to None.

Returns:

tensor like tensor, modified by parameters, filled with value.

Return type:

torch.Tensor

Note

To construct a scalar, set shape to ().