(
self,
cfg=None,
criterion=nn.CrossEntropyLoss(reduction="none", ignore_index=255),
norm_layer=nn.BatchNorm2d,
syncbn=False,
)
| 59 | |
| 60 | class EncoderDecoder(nn.Module): |
| 61 | def __init__( |
| 62 | self, |
| 63 | cfg=None, |
| 64 | criterion=nn.CrossEntropyLoss(reduction="none", ignore_index=255), |
| 65 | norm_layer=nn.BatchNorm2d, |
| 66 | syncbn=False, |
| 67 | ): |
| 68 | super(EncoderDecoder, self).__init__() |
| 69 | self.norm_layer = norm_layer |
| 70 | self.cfg = cfg |
| 71 | |
| 72 | if cfg.backbone == "DFormer-Large": |
| 73 | from .encoders.DFormer import DFormer_Large as backbone |
| 74 | |
| 75 | self.channels = [96, 192, 288, 576] |
| 76 | elif cfg.backbone == "DFormer-Base": |
| 77 | from .encoders.DFormer import DFormer_Base as backbone |
| 78 | |
| 79 | self.channels = [64, 128, 256, 512] |
| 80 | elif cfg.backbone == "DFormer-Small": |
| 81 | from .encoders.DFormer import DFormer_Small as backbone |
| 82 | |
| 83 | self.channels = [64, 128, 256, 512] |
| 84 | elif cfg.backbone == "DFormer-Tiny": |
| 85 | from .encoders.DFormer import DFormer_Tiny as backbone |
| 86 | |
| 87 | self.channels = [32, 64, 128, 256] |
| 88 | |
| 89 | elif cfg.backbone == "DFormerv2_L": |
| 90 | from .encoders.DFormerv2 import DFormerv2_L as backbone |
| 91 | |
| 92 | self.channels = [112, 224, 448, 640] |
| 93 | elif cfg.backbone == "DFormerv2_B": |
| 94 | from .encoders.DFormerv2 import DFormerv2_B as backbone |
| 95 | |
| 96 | self.channels = [80, 160, 320, 512] |
| 97 | elif cfg.backbone == "DFormerv2_S": |
| 98 | from .encoders.DFormerv2 import DFormerv2_S as backbone |
| 99 | |
| 100 | self.channels = [64, 128, 256, 512] |
| 101 | else: |
| 102 | raise NotImplementedError |
| 103 | |
| 104 | if syncbn: |
| 105 | norm_cfg = dict(type="SyncBN", requires_grad=True) |
| 106 | else: |
| 107 | norm_cfg = dict(type="BN", requires_grad=True) |
| 108 | |
| 109 | if cfg.drop_path_rate is not None: |
| 110 | self.backbone = backbone(drop_path_rate=cfg.drop_path_rate, norm_cfg=norm_cfg) |
| 111 | else: |
| 112 | self.backbone = backbone(drop_path_rate=0.1, norm_cfg=norm_cfg) |
| 113 | |
| 114 | self.aux_head = None |
| 115 | |
| 116 | if cfg.decoder == "MLPDecoder": |
| 117 | logger.info("Using MLP Decoder") |
| 118 | from .decoders.MLPDecoder import DecoderHead |
nothing calls this directly
no test coverage detected