def _validate_export_model(self, model: Model) -> bool:
model.eval()
model_out = model(TestModelParser.INPUT)
# model.fuse().eval()
model.export()
model_out_fused = model(TestModelParser.INPUT)
return torch.all(torch.isclose(model_out, model_out_fused, rtol=1e-5))
def __call__(self, repeat: int = 1) -> nn.Module:
module: Union[List[nn.Module], nn.Module]
if repeat > 1:
# Currently, yaml module must have same in and out channel in order to apply repeat.
module = [Model(self.cfg, **self.kwargs) for _ in range(repeat)]
else:
module = Model(self.cfg, **self.kwargs)
return self._get_module(module)
def test_example(self, verbose: bool = False):
"""Test example model."""
model = Model(
os.path.join("tests", "test_configs", "example.yaml"), verbose=verbose
)
assert model(TestModelParser.INPUT).shape == torch.Size([1, 10])
assert count_model_params(model) == 137862
assert self._validate_export_model(model)
def test_vgg(self, verbose: bool = False):
"""Test vgg model."""
model = Model(
os.path.join("tests", "test_configs", "vgg.yaml"), verbose=verbose
)
assert model(TestModelParser.INPUT).shape == torch.Size([1, 10])
assert count_model_params(model) == 3732970
assert self._validate_export_model(model)
def test_show_case(self, verbose: bool = False):
"""Test show case model."""
model = Model(
os.path.join("tests", "test_configs", "show_case.yaml"),
verbose=verbose,
)
assert model(TestModelParser.INPUT).shape == torch.Size([1, 10])
assert count_model_params(model) == 168866
def test_gap_model(self, verbose: bool = False):
"""Test example model."""
model = Model(
os.path.join("tests", "test_configs", "gap_test_model.yaml"),
verbose=verbose,
)
assert model(TestModelParser.INPUT).shape == torch.Size([1, 10])
assert count_model_params(model) == 20148
def test_pretrained2(self, verbose: bool = False):
"""Test show case model."""
model = Model(
os.path.join("tests", "test_configs", "pretrained_example2.yaml"),
verbose=verbose,
)
assert model(TestModelParser.INPUT).shape == torch.Size([1, 10])
assert count_model_params(model) == 3760122
assert self._validate_export_model(model)
def __init__(self, *args, **kwargs) -> None:
"""Initialize YamlModuleGenerator."""
super().__init__(*args, **kwargs)
with open(self.args[0], "r") as f:
self.cfg = yaml.load(f, yaml.FullLoader)
self.cfg.update(
{
"input_channel": self.in_channel,
"depth_multiple": 1.0,
"width_multiple": self.width_multiply,
"backbone": self.cfg.pop("module"),
}
)
self.module = Model(self.cfg, verbose=False)
