Summary
Matrix-Game-2/inference.py:43 instantiates torchvision.transforms.v2.ToTensor(), which is a deprecated alias: constructing it emits a UserWarning on every instantiation:
self.frame_process = v2.Compose([
v2.Resize(size=(352, 640), antialias=True),
v2.ToTensor(), # ← emits UserWarning on construction
v2.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
])Warning text (verified on torchvision 0.26.0):
The transform ToTensor() is deprecated and will be removed in a future release. Instead, please use v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)]).
This warning has been present since torchvision 0.15 (when the v2 namespace was introduced) — torchvision/transforms/v2/_deprecated.py has called warnings.warn in ToTensor.__init__ since the first release.
Proposed fix
Replace v2.ToTensor() with the officially recommended equivalent inside the same v2.Compose:
self.frame_process = v2.Compose([
v2.Resize(size=(352, 640), antialias=True),
v2.ToImage(),
v2.ToDtype(torch.float32, scale=True),
v2.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
])Validation (torchvision 0.26.0+cpu)
v2.ToTensor()(img) and v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])(img) produce identical output up to float precision: max abs diff = 5.96e-8 (a single last-bit rounding difference on uint8→float32 scaling; the official deprecation message itself states "Output is equivalent up to float precision").- With
warnings.simplefilter("error", UserWarning): the current code raises the deprecation UserWarning; the proposed pipeline constructs and runs cleanly.
Impact
- No deprecation
UserWarning during inference; no behavior change to frame preprocessing.
References
- torchvision docs: v2.ToTensor (deprecated) — "[DEPRECATED] Use
v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)]) instead."
- torchvision source
torchvision/transforms/v2/_deprecated.py — warnings.warn in ToTensor.__init__, present since 0.15.
Summary
Matrix-Game-2/inference.py:43instantiatestorchvision.transforms.v2.ToTensor(), which is a deprecated alias: constructing it emits aUserWarningon every instantiation:Warning text (verified on torchvision 0.26.0):
This warning has been present since torchvision 0.15 (when the v2 namespace was introduced) —
torchvision/transforms/v2/_deprecated.pyhas calledwarnings.warninToTensor.__init__since the first release.Proposed fix
Replace
v2.ToTensor()with the officially recommended equivalent inside the samev2.Compose:Validation (torchvision 0.26.0+cpu)
v2.ToTensor()(img)andv2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])(img)produce identical output up to float precision: max abs diff = 5.96e-8 (a single last-bit rounding difference on uint8→float32 scaling; the official deprecation message itself states "Output is equivalent up to float precision").warnings.simplefilter("error", UserWarning): the current code raises the deprecationUserWarning; the proposed pipeline constructs and runs cleanly.Impact
UserWarningduring inference; no behavior change to frame preprocessing.References
v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])instead."torchvision/transforms/v2/_deprecated.py—warnings.warninToTensor.__init__, present since 0.15.