code stringlengths 3 6.57k |
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self.assertTrue(token.ner in ner_labels) |
self.assertIsNotNone(token.head) |
self.assertIsNotNone(token.deprel) |
self.assertTrue(token.head in range(0, len(doc.tokens) |
self.assertTrue(token.deprel in dp_labels) |
self.assertIsNotNone(token.upos) |
self.assertTrue(token.upos in pos_labels['upos']) |
test_annotations_are_same_with_multiple_configurations(self) |
Pipeline('dp,pos,ner') |
nlp("Η Ιταλία κέρδισε την Αγγλία στον τελικό του Euro το 2021") |
deprels_preds.append(token.deprel) |
upos_preds.append(token.upos) |
ner_preds.append(token.ner) |
Pipeline('dp') |
nlp("Η Ιταλία κέρδισε την Αγγλία στον τελικό του Euro το 2021") |
new_deprels_preds.append(token.deprel) |
Pipeline('pos') |
nlp("Η Ιταλία κέρδισε την Αγγλία στον τελικό του Euro το 2021") |
new_upos_preds.append(token.upos) |
Pipeline('ner') |
nlp("Η Ιταλία κέρδισε την Αγγλία στον τελικό του Euro το 2021") |
new_ner_preds.append(token.ner) |
self.assertEqual(new_deprels_preds, deprels_preds) |
self.assertEqual(new_upos_preds, upos_preds) |
self.assertEqual(new_ner_preds, ner_preds) |
test_using_only_one_processor(self) |
Pipeline('ner') |
nlp("Η Ιταλία κέρδισε την Αγγλία στον τελικό του Euro το 2021") |
self.assertIsNotNone(token.ner) |
self.assertTrue(token.ner in ner_labels) |
self.assertIsNone(token.head) |
self.assertIsNone(token.deprel) |
self.assertFalse(token.head in range(0, len(doc.tokens) |
self.assertFalse(token.deprel in dp_labels) |
self.assertIsNone(token.upos) |
self.assertFalse(token.upos in pos_labels['upos']) |
token.feats.items() |
self.assertFalse(feat in pos_properties[token.upos]) |
self.assertFalse(value in pos_labels[feat]) |
unittest.main() |
InitiatorFcInitiatorEp(ManagedObject) |
InitiatorFcInitiatorEpConsts() |
set([u'name']) |
MoMeta("InitiatorFcInitiatorEp", "initiatorFcInitiatorEp", "fc-ini-[name]", VersionMeta.Version211a, "InputOutput", 0x3f, [], ["read-only"], [u'initiatorGroupEp'], [u'storageEpUser'], [None]) |
MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version211a, MoPropertyMeta.INTERNAL, 0x2, None, None, r"""((deleteAll|ignore|deleteNonPresent) |
MoPropertyMeta("dn", "dn", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, 0x4, 0, 256, None, [], []) |
MoPropertyMeta("ep_dn", "epDn", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, None, 0, 256, None, [], []) |
MoPropertyMeta("id", "id", "ulong", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []) |
MoPropertyMeta("name", "name", "string", VersionMeta.Version211a, MoPropertyMeta.NAMING, 0x8, None, None, r"""[\-\.:_a-zA-Z0-9]{1,16}""", [], []) |
MoPropertyMeta("pref", "pref", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, None, None, None, None, ["alternate", "preferred"], []) |
MoPropertyMeta("prot", "prot", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, None, None, None, None, ["derived", "fc", "iscsi"], []) |
MoPropertyMeta("rn", "rn", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, 0x10, 0, 256, None, [], []) |
MoPropertyMeta("sacl", "sacl", "string", VersionMeta.Version302c, MoPropertyMeta.READ_ONLY, None, None, None, r"""((none|del|mod|addchild|cascade) |
MoPropertyMeta("status", "status", "string", VersionMeta.Version211a, MoPropertyMeta.READ_WRITE, 0x20, None, None, r"""((removed|created|modified|deleted) |
MoPropertyMeta("wwpn", "wwpn", "string", VersionMeta.Version211a, MoPropertyMeta.READ_ONLY, None, 0, 256, r"""(([A-Fa-f0-9][A-Fa-f0-9]:) |
__init__(self, parent_mo_or_dn, name, **kwargs) |
ManagedObject.__init__(self, "InitiatorFcInitiatorEp", parent_mo_or_dn, **kwargs) |
Copyright (c) |
Copyright (c) |
Choy (chrischoy@ai.stanford.edu) |
files (the "Software") |
argparse.ArgumentParser() |
parser.add_argument("--voxel_size", type=float, default=0.05) |
parser.add_argument("--max_steps", type=int, default=100000) |
parser.add_argument("--val_freq", type=int, default=1000) |
parser.add_argument("--batch_size", default=32, type=int) |
parser.add_argument("--lr", default=1e-1, type=float) |
parser.add_argument("--weight_decay", type=float, default=1e-4) |
parser.add_argument("--num_workers", type=int, default=2) |
parser.add_argument("--stat_freq", type=int, default=100) |
parser.add_argument("--weights", type=str, default="modelnet.pth") |
parser.add_argument("--seed", type=int, default=777) |
parser.add_argument("--translation", type=float, default=0.2) |
parser.add_argument("--test_translation", type=float, default=0.0) |
MinkowskiFCNN(ME.MinkowskiNetwork) |
ME.MinkowskiNetwork.__init__(self, D) |
self.weight_initialization() |
get_mlp_block(self, in_channel, out_channel) |
ME.MinkowskiLinear(in_channel, out_channel, bias=False) |
ME.MinkowskiBatchNorm(out_channel) |
ME.MinkowskiLeakyReLU() |
get_conv_block(self, in_channel, out_channel, kernel_size, stride) |
ME.MinkowskiBatchNorm(out_channel) |
ME.MinkowskiLeakyReLU() |
self.get_mlp_block(in_channel, channels[0]) |
ME.MinkowskiMaxPooling(kernel_size=3, stride=2, dimension=D) |
ME.MinkowskiGlobalMaxPooling() |
ME.MinkowskiGlobalAvgPooling() |
self.get_mlp_block(embedding_channel * 2, 512) |
ME.MinkowskiDropout() |
self.get_mlp_block(512, 512) |
ME.MinkowskiLinear(512, out_channel, bias=True) |
weight_initialization(self) |
self.modules() |
isinstance(m, ME.MinkowskiConvolution) |
ME.utils.kaiming_normal_(m.kernel, mode="fan_out", nonlinearity="relu") |
isinstance(m, ME.MinkowskiBatchNorm) |
nn.init.constant_(m.bn.weight, 1) |
nn.init.constant_(m.bn.bias, 0) |
forward(self, x: ME.TensorField) |
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