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https://github.com/modelscope/DiffSynth-Studio.git
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fix qwen_rope
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@@ -127,49 +127,42 @@ class QwenEmbedRope(nn.Module):
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self.pos_freqs = self.pos_freqs.to(device)
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self.neg_freqs = self.neg_freqs.to(device)
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if isinstance(video_fhw, list):
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video_fhw = video_fhw[0]
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frame, height, width = video_fhw
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rope_key = f"{frame}_{height}_{width}"
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vid_freqs = []
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max_vid_index = 0
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for idx, fhw in enumerate(video_fhw):
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frame, height, width = fhw
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rope_key = f"{idx}_{height}_{width}"
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if rope_key not in self.rope_cache:
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seq_lens = frame * height * width
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freqs_pos = self.pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
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freqs_neg = self.neg_freqs.split([x // 2 for x in self.axes_dim], dim=1)
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freqs_frame = freqs_pos[0][idx : idx + frame].view(frame, 1, 1, -1).expand(frame, height, width, -1)
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if self.scale_rope:
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freqs_height = torch.cat(
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[freqs_neg[1][-(height - height // 2) :], freqs_pos[1][: height // 2]], dim=0
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)
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freqs_height = freqs_height.view(1, height, 1, -1).expand(frame, height, width, -1)
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freqs_width = torch.cat([freqs_neg[2][-(width - width // 2) :], freqs_pos[2][: width // 2]], dim=0)
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freqs_width = freqs_width.view(1, 1, width, -1).expand(frame, height, width, -1)
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else:
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freqs_height = freqs_pos[1][:height].view(1, height, 1, -1).expand(frame, height, width, -1)
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freqs_width = freqs_pos[2][:width].view(1, 1, width, -1).expand(frame, height, width, -1)
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freqs = torch.cat([freqs_frame, freqs_height, freqs_width], dim=-1).reshape(seq_lens, -1)
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self.rope_cache[rope_key] = freqs.clone().contiguous()
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vid_freqs.append(self.rope_cache[rope_key])
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if rope_key not in self.rope_cache:
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seq_lens = frame * height * width
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freqs_pos = self.pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
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freqs_neg = self.neg_freqs.split([x // 2 for x in self.axes_dim], dim=1)
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freqs_frame = freqs_pos[0][:frame].view(frame, 1, 1, -1).expand(frame, height, width, -1)
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if self.scale_rope:
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freqs_height = torch.cat(
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[
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freqs_neg[1][-(height - height//2):],
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freqs_pos[1][:height//2]
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],
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dim=0
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)
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freqs_height = freqs_height.view(1, height, 1, -1).expand(frame, height, width, -1)
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freqs_width = torch.cat(
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[
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freqs_neg[2][-(width - width//2):],
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freqs_pos[2][:width//2]
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],
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dim=0
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)
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freqs_width = freqs_width.view(1, 1, width, -1).expand(frame, height, width, -1)
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max_vid_index = max(height // 2, width // 2, max_vid_index)
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else:
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freqs_height = freqs_pos[1][:height].view(1, height, 1, -1).expand(frame, height, width, -1)
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freqs_width = freqs_pos[2][:width].view(1, 1, width, -1).expand(frame, height, width, -1)
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freqs = torch.cat([freqs_frame, freqs_height, freqs_width], dim=-1).reshape(seq_lens, -1)
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self.rope_cache[rope_key] = freqs.clone().contiguous()
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vid_freqs = self.rope_cache[rope_key]
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if self.scale_rope:
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max_vid_index = max(height // 2, width // 2)
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else:
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max_vid_index = max(height, width)
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max_vid_index = max(height, width, max_vid_index)
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max_len = max(txt_seq_lens)
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txt_freqs = self.pos_freqs[max_vid_index: max_vid_index + max_len, ...]
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txt_freqs = self.pos_freqs[max_vid_index : max_vid_index + max_len, ...]
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vid_freqs = torch.cat(vid_freqs, dim=0)
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return vid_freqs, txt_freqs
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