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| import cliport.models as models | |
| import cliport.models.core.fusion as fusion | |
| from cliport.models.core.attention import Attention | |
| class TwoStreamAttention(Attention): | |
| """Two Stream Attention (a.k.a Pick) module""" | |
| def __init__(self, stream_fcn, in_shape, n_rotations, preprocess, cfg, device): | |
| self.fusion_type = cfg['train']['attn_stream_fusion_type'] | |
| super().__init__(stream_fcn, in_shape, n_rotations, preprocess, cfg, device) | |
| def _build_nets(self): | |
| stream_one_fcn, stream_two_fcn = self.stream_fcn | |
| stream_one_model = models.names[stream_one_fcn] | |
| stream_two_model = models.names[stream_two_fcn] | |
| self.attn_stream_one = stream_one_model(self.in_shape, 1, self.cfg, self.device, self.preprocess) | |
| self.attn_stream_two = stream_two_model(self.in_shape, 1, self.cfg, self.device, self.preprocess) | |
| self.fusion = fusion.names[self.fusion_type](input_dim=1) | |
| print(f"Attn FCN - Stream One: {stream_one_fcn}, Stream Two: {stream_two_fcn}, Stream Fusion: {self.fusion_type}") | |
| def attend(self, x): | |
| x1 = self.attn_stream_one(x) | |
| x2 = self.attn_stream_two(x) | |
| x = self.fusion(x1, x2) | |
| return x | |
| class TwoStreamAttentionLat(TwoStreamAttention): | |
| """Two Stream Attention (a.k.a Pick) module with lateral connections""" | |
| def __init__(self, stream_fcn, in_shape, n_rotations, preprocess, cfg, device): | |
| super().__init__(stream_fcn, in_shape, n_rotations, preprocess, cfg, device) | |
| def attend(self, x): | |
| x1, lat = self.attn_stream_one(x) | |
| x2 = self.attn_stream_two(x, lat) | |
| x = self.fusion(x1, x2) | |
| return x |