[pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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f1837fbb65
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3 changed files with 15 additions and 11 deletions
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@ -146,10 +146,7 @@ def resolve_te_prequant_source(
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def te_prequant_sources(
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fam: Any,
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*,
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te_quant_mode: Optional[str],
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target: Any,
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fam: Any, *, te_quant_mode: Optional[str], target: Any
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) -> dict[str, TePrequantSource]:
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"""``{component: source}`` for every text encoder this pick would load PRE-CAST rather
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than dense; ``{}`` when none apply.
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@ -682,7 +682,6 @@ class VideoBackend:
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"""``{component: source}`` for the text encoders this load will take PRE-CAST from a
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hosted checkpoint instead of the base repo's dense weights (``{}`` when none)."""
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from .diffusion_te_prequant import te_prequant_sources
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return te_prequant_sources(
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fam,
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te_quant_mode = text_encoder_quant,
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@ -1112,7 +1112,13 @@ def _ltx23_assembly_stubs(monkeypatch, tmp_path):
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self.what = what
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@classmethod
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def from_pretrained(cls, base, subfolder = None, token = None, **extra):
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def from_pretrained(
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cls,
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base,
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subfolder = None,
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token = None,
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**extra,
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):
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_Loaded.calls.append(subfolder)
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return cls(subfolder or "?")
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@ -2008,7 +2014,6 @@ def test_download_plan_narrows_an_ltx23_pick_and_stages_its_extras(monkeypatch):
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def _cuda_bf16_target(monkeypatch):
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"""Pretend the box can run layerwise fp8, so the pre-cast encoder resolves off-GPU."""
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import torch
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monkeypatch.setattr(
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"core.inference.video.resolve_diffusion_device_target",
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lambda: types.SimpleNamespace(device = "cuda", dtype = torch.bfloat16),
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@ -2126,7 +2131,12 @@ def test_fetch_te_prequant_only_reports_what_it_downloaded(monkeypatch):
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kind = "repo", location = "unsloth/LTX-2-FP8", filename = "LTX-2-text_encoder-FP8.pt"
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)
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def _boom(repo, filename, token, cancel_event = None):
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def _boom(
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repo,
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filename,
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token,
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cancel_event = None,
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):
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raise OSError("404")
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monkeypatch.setattr("utils.hf_xet_fallback.hf_hub_download_with_xet_fallback", _boom)
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@ -2162,9 +2172,7 @@ def test_load_pipeline_tops_up_the_dense_encoder_when_injection_fails(fake_runti
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# Nothing was skipped -> no second pull.
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calls.clear()
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backend.load_pipeline(
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"Lightricks/LTX-2", model_kind = "pipeline", _base_local_dir = str(tmp_path)
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)
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backend.load_pipeline("Lightricks/LTX-2", model_kind = "pipeline", _base_local_dir = str(tmp_path))
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assert calls == []
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backend.unload()
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