Lower cosmos diffusion model memory usage.
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@@ -168,7 +168,7 @@ class GeneralDIT(nn.Module):
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operations=operations,
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)
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self.build_pos_embed(device=device)
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self.build_pos_embed(device=device, dtype=dtype)
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self.block_x_format = block_x_format
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self.use_adaln_lora = use_adaln_lora
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self.adaln_lora_dim = adaln_lora_dim
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@@ -210,7 +210,7 @@ class GeneralDIT(nn.Module):
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operations=operations,
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)
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def build_pos_embed(self, device=None):
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def build_pos_embed(self, device=None, dtype=None):
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if self.pos_emb_cls == "rope3d":
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cls_type = VideoRopePosition3DEmb
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else:
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@@ -242,6 +242,7 @@ class GeneralDIT(nn.Module):
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kwargs["w_extrapolation_ratio"] = self.extra_w_extrapolation_ratio
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kwargs["t_extrapolation_ratio"] = self.extra_t_extrapolation_ratio
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kwargs["device"] = device
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kwargs["dtype"] = dtype
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self.extra_pos_embedder = LearnablePosEmbAxis(
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**kwargs,
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)
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@@ -476,6 +477,8 @@ class GeneralDIT(nn.Module):
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inputs["original_shape"],
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)
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extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D = inputs["extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D"].to(x.dtype)
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del inputs
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if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None:
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assert (
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x.shape == extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D.shape
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@@ -486,6 +489,8 @@ class GeneralDIT(nn.Module):
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self.blocks["block0"].x_format == block.x_format
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), f"First block has x_format {self.blocks[0].x_format}, got {block.x_format}"
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if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None:
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x += extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D
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x = block(
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x,
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affline_emb_B_D,
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@@ -493,7 +498,6 @@ class GeneralDIT(nn.Module):
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crossattn_mask,
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rope_emb_L_1_1_D=rope_emb_L_1_1_D,
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adaln_lora_B_3D=adaln_lora_B_3D,
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extra_per_block_pos_emb=extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D,
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)
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x_B_T_H_W_D = rearrange(x, "T H W B D -> B T H W D")
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