How to use _check_resolution method in avocado

Best Python code snippet using avocado_python

lpsnet.py

Source:lpsnet.py

...75        raise NotImplementedError76class LPSNet1Path(BaseSegNet):77    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):78        super(LPSNet1Path, self).__init__(depth, width, resolution, num_classes)79        self._check_resolution()80        self.net = BaseNet(self.depth, self.width, deploy)81        self.head = nn.Conv2d(self.width[-1], self.num_classes, 1, 1, 0, bias=True)82    def forward(self, x):83        return self.head(self.net(self._preprocess_input(x)))84    def _preprocess_input(self, x):85        r = self.resolution[0]86        return upsample(x, (int(x.shape[-2] * r), int(x.shape[-1] * r)))87    def _check_resolution(self):88        assert self.resolution[0] > 089        for i in range(1, len(self.resolution)):90            assert self.resolution[i] == 091class LPSNet2Path(BaseSegNet):92    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):93        super(LPSNet2Path, self).__init__(depth, width, resolution, num_classes)94        self._check_resolution()95        self.netH = BaseNet(self.depth, self.width, deploy)96        self.netL = BaseNet(self.depth, self.width, deploy)97        self.head = nn.Conv2d(self.width[-1] * 2, self.num_classes, 1, 1, 0, bias=True)98    def _check_resolution(self):99        assert len(self.resolution) >= 2100        assert self.resolution[0] > 0101        assert self.resolution[1] > 0102        assert self.resolution[0] >= self.resolution[1]103        for i in range(2, len(self.resolution)):104            assert self.resolution[i] == 0105    def _preprocess_input(self, x):106        r1 = self.resolution[0]107        r2 = self.resolution[1]108        x1 = upsample(x, (int(x.shape[-2] * r1), int(x.shape[-1] * r1)))109        x2 = upsample(x, (int(x.shape[-2] * r2), int(x.shape[-1] * r2)))110        return x1, x2111    def forward(self, x):112        xh, xl = self._preprocess_input(x)113        xh, xl = self.netH.stages[0](xh), self.netL.stages[0](xl)114        xh, xl = self.netH.stages[1](xh), self.netL.stages[1](xl)115        xh, xl = self.netH.stages[2](xh), self.netL.stages[2](xl)116        xh, xl = bi_interaction(xh, xl)117        xh, xl = self.netH.stages[3](xh), self.netL.stages[3](xl)118        xh, xl = bi_interaction(xh, xl)119        xh, xl = self.netH.stages[4](xh), self.netL.stages[4](xl)120        x_cat = torch.cat([xh, upsample(xl, (int(xh.shape[-2]), int(xh.shape[-1])))], dim=-3)121        return self.head(x_cat)122class LPSNet3Path(BaseSegNet):123    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):124        super(LPSNet3Path, self).__init__(depth, width, resolution, num_classes)125        self._check_resolution()126        self.net1 = BaseNet(self.depth, self.width, deploy)127        self.net2 = BaseNet(self.depth, self.width, deploy)128        self.net3 = BaseNet(self.depth, self.width, deploy)129        self.head = nn.Conv2d(self.width[-1] * 3, self.num_classes, 1, 1, 0, bias=True)130    def _check_resolution(self):131        assert len(self.resolution) >= 3132        assert self.resolution[0] > 0133        assert self.resolution[1] > 0134        assert self.resolution[2] > 0135        assert self.resolution[0] >= self.resolution[1] >= self.resolution[2]136        for i in range(3, len(self.resolution)):137            assert self.resolution[i] == 0138    def _preprocess_input(self, x):139        r1 = self.resolution[0]140        r2 = self.resolution[1]141        r3 = self.resolution[2]142        x1 = upsample(x, (int(x.shape[-2] * r1), int(x.shape[-1] * r1)))143        x2 = upsample(x, (int(x.shape[-2] * r2), int(x.shape[-1] * r2)))144        x3 = upsample(x, (int(x.shape[-2] * r3), int(x.shape[-1] * r3)))...

test_resolver.py

Source:test_resolver.py

...132        self.assertEqual(resolution.args, ())133        self.assertEqual(resolution.kwargs, {})134        self.assertEqual(resolution.tags, {"flattag": None, "foo": {"bar"}})135    def test_dont_detect_non_avocado(self):136        def _check_resolution(resolution, name):137            self.assertEqual(resolution.kind, "python-unittest")138            self.assertEqual(resolution.uri, f"{path}:{name}")139            self.assertEqual(resolution.args, ())140            self.assertEqual(resolution.kwargs, {})141            self.assertEqual(resolution.tags, {})142            self.assertEqual(resolution.dependencies, [])143        path = os.path.join(144            os.path.dirname(os.path.dirname(os.path.dirname(__file__))),145            ".data",146            "safeloader",147            "data",148            "dont_detect_non_avocado.py",149        )150        res = PythonUnittestResolver().resolve(path)151        self.assertEqual(res.reference, path)152        self.assertEqual(res.result, resolver.ReferenceResolutionResult.SUCCESS)153        self.assertEqual(len(res.resolutions), 3)154        _check_resolution(res.resolutions[0], "StaticallyNotAvocadoTest.test")155        _check_resolution(res.resolutions[1], "NotTest.test2")156        _check_resolution(res.resolutions[2], "NotTest.test")157if __name__ == "__main__":...

validate_output_resolution.py

Source:validate_output_resolution.py

...29            reformat = inode30        return reformat31    @classmethod32    def get_invalid(cls, instance):33        def _check_resolution(instance, reformat):34            root_width = instance.data["resolutionWidth"]35            root_height = instance.data["resolutionHeight"]36            write_width = reformat.format().width()37            write_height = reformat.format().height()38            if (root_width != write_width) or (root_height != write_height):39                return None40            else:41                return True42        # check if reformat is in render node43        reformat = cls.get_reformat(instance)44        if not reformat:45            return cls.missing_msg46        # check if reformat is set to correct root format47        correct_format = _check_resolution(instance, reformat)48        if not correct_format:49            return cls.resolution_msg50    @classmethod51    def repair(cls, instance):52        invalid = cls.get_invalid(instance)53        grp_node = instance[0]54        if cls.missing_msg == invalid:55            # make sure we are inside of the group node56            with grp_node:57                # find input node and select it58                _input = None59                for inode in instance:60                    if inode.Class() != "Input":61                        continue...

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