Trace VAE temporal blend metadata
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1 changed files with 19 additions and 0 deletions
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@ -24,6 +24,17 @@ def diff_stats(label: str, a: torch.Tensor, b: torch.Tensor) -> None:
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print({"label": label, "shape": tuple(a.shape), "max": float(diff.max()), "mean": float(diff.mean())}, flush=True)
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print({"label": label, "shape": tuple(a.shape), "max": float(diff.max()), "mean": float(diff.mean())}, flush=True)
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def tensor_meta(label: str, tensor: torch.Tensor) -> None:
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print({
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"label": label,
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"shape": tuple(tensor.shape),
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"stride": tuple(tensor.stride()),
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"dtype": str(tensor.dtype),
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"contiguous": tensor.is_contiguous(),
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"storage_offset": tensor.storage_offset(),
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}, flush=True)
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def plan(vae, z_len: int):
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def plan(vae, z_len: int):
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pseudo = z_len + vae.token_drop
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pseudo = z_len + vae.token_drop
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pad = (-pseudo) % vae.tokens_chunk_size
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pad = (-pseudo) % vae.tokens_chunk_size
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@ -70,6 +81,14 @@ with torch.inference_mode():
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part_u = clip_u[:, :, frame_start:frame_end][:, :, upstream.frame_pre_padding:]
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part_u = clip_u[:, :, frame_start:frame_end][:, :, upstream.frame_pre_padding:]
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if split == 0 and prev_d is not None:
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if split == 0 and prev_d is not None:
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diff_stats(f"chunk_{chunk_index}_preblend_current", part_d, part_u)
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diff_stats(f"chunk_{chunk_index}_preblend_current", part_d, part_u)
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if chunk_index == 1:
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tensor_meta("prev_d", prev_d)
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tensor_meta("prev_u", prev_u)
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tensor_meta("part_d", part_d)
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tensor_meta("part_u", part_u)
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diff_stats("chunk_1_prev", prev_d, prev_u)
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diff_stats("chunk_1_direct_blend_contiguous", direct.blend(prev_d.contiguous(), part_d.contiguous(), direct.frame_overlap, -3), upstream.blend(prev_d.contiguous(), part_d.contiguous(), direct.frame_overlap, -3))
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diff_stats("chunk_1_cross_respective_contiguous", direct.blend(prev_d.contiguous(), part_d.contiguous(), direct.frame_overlap, -3), upstream.blend(prev_u.contiguous(), part_u.contiguous(), upstream.frame_overlap, -3))
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diff_stats(f"chunk_{chunk_index}_direct_blend_same_inputs", direct.blend(prev_d, part_d, direct.frame_overlap, -3), upstream.blend(prev_d, part_d, direct.frame_overlap, -3))
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diff_stats(f"chunk_{chunk_index}_direct_blend_same_inputs", direct.blend(prev_d, part_d, direct.frame_overlap, -3), upstream.blend(prev_d, part_d, direct.frame_overlap, -3))
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diff_stats(f"chunk_{chunk_index}_upstream_blend_same_inputs", direct.blend(prev_u, part_u, upstream.frame_overlap, -3), upstream.blend(prev_u, part_u, upstream.frame_overlap, -3))
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diff_stats(f"chunk_{chunk_index}_upstream_blend_same_inputs", direct.blend(prev_u, part_u, upstream.frame_overlap, -3), upstream.blend(prev_u, part_u, upstream.frame_overlap, -3))
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part_d = direct.blend(prev_d, part_d, direct.frame_overlap, -3)
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part_d = direct.blend(prev_d, part_d, direct.frame_overlap, -3)
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