ConvertImageDtype

class torchvision.transforms.ConvertImageDtype(dtype: torch.dtype)

Convert a tensor image to the given dtype and scale the values accordingly This function does not support PIL Image.

Parameters

dtype (torch.dpython:type) – Desired data type of the output

Note

When converting from a smaller to a larger integer dtype the maximum values are not mapped exactly. If converted back and forth, this mismatch has no effect.

Raises

RuntimeError – When trying to cast torch.float32 to torch.int32 or torch.int64 as well as for trying to cast torch.float64 to torch.int64. These conversions might lead to overflow errors since the floating point dtype cannot store consecutive integers over the whole range of the integer dtype.

Examples using ConvertImageDtype:

Tensor transforms and JIT

Optical Flow: Predicting movement with the RAFT model

forward(image)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.