make transforms v2 get_params a staticmethod #7177
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| id=transform_cls.__name__, | ||
| ) | ||
| for transform_cls, get_params_args_kwargs in [ | ||
| (prototype_transforms.RandomResizedCrop, ArgsKwargs(make_image(), scale=[0.3, 0.7], ratio=[0.5, 1.5])), |
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Do we need to use the ArgsKwargs class at all here?
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Define "need". You can also replace it with a sequence and a mapping, but I feel this is more convenient, since it closely matches how you would actually call the method. Plus, this is consistent with this module as a whole, which uses ArgsKwargs every time we need to define call arguments.
| def test_get_params_jit(config, get_params_args_kwargs): | ||
| get_params_args, get_params_kwargs = get_params_args_kwargs | ||
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| torch.jit.script(config.prototype_cls.get_params)(*get_params_args, **get_params_kwargs) | ||
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| if not config.args_kwargs: | ||
| return | ||
| args, kwargs = config.args_kwargs[0] | ||
| transform = config.prototype_cls(*args, **kwargs) |
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Why are we using get_params_args_kwargs for one of them and config.args_kwargs[0] for the other?
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get_params_args_kwargs is coming from the parametrization and only includes a single ArgsKwargs to test calling get_params. config.args_kwargs is a list of ArgsKwargs that is used to instantiate the transform and is coming from the CONSISTENCY_CONFIGS. Since get_params is a @staticmethod, we don't need to care about the actual parameters the transform is instantiated with. Thus, we just take the first available to get an arbitrary instance, and call get_params on that.
Co-authored-by: Nicolas Hug <[email protected]>
Summary: Co-authored-by: Nicolas Hug <[email protected]> Reviewed By: vmoens Differential Revision: D44416264 fbshipit-source-id: b27c2f61cefb598b1b0fe19102cd842a88a9023c
Addresses #7159 (comment). I was "obsessed" with making
get_paramsavailable on the class in #7153 and completely forgot to check whether this works on instances as well.cc @vfdev-5 @bjuncek