[Quantization] Enable FP8 online quantization for Z-image text encoder (#1338)
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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@@ -26,6 +26,7 @@ from vllm.model_executor.model_loader.weight_utils import (
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multi_thread_safetensors_weights_iterator,
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safetensors_weights_iterator,
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)
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from vllm.transformers_utils.repo_utils import file_exists
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from vllm.utils.import_utils import resolve_obj_by_qualname
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from vllm.utils.torch_utils import set_default_torch_dtype
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@@ -49,6 +50,8 @@ def _natural_sort_key(filepath: str) -> list:
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MODEL_INDEX = "model_index.json"
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DIFFUSION_MODEL_WEIGHTS_INDEX = "diffusion_pytorch_model.safetensors.index.json"
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TRANSFORMER_WEIGHTS_INDEX = "model.safetensors.index.json"
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INDEX_FILES = [DIFFUSION_MODEL_WEIGHTS_INDEX, TRANSFORMER_WEIGHTS_INDEX]
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class DiffusersPipelineLoader:
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@@ -99,8 +102,22 @@ class DiffusersPipelineLoader:
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is_local = os.path.isdir(model_name_or_path)
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load_format = self.load_config.load_format
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use_safetensors = False
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index_file = DIFFUSION_MODEL_WEIGHTS_INDEX
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index_file_with_subfolder = f"{subfolder}/{index_file}" if subfolder else index_file
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possible_index_files = [
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f"{subfolder}/{index_file}" if subfolder is not None else index_file for index_file in INDEX_FILES
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]
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available_index_file = list(
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filter(lambda f: file_exists(model_name_or_path, f, revision=revision), possible_index_files)
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)
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if len(available_index_file) > 1:
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raise ValueError(
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f"Multiple index files found in {model_name_or_path} with subfolder {subfolder}: {available_index_file}"
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)
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index_file_with_subfolder = available_index_file[0] if len(available_index_file) == 1 else None
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index_file = (
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index_file_with_subfolder.split("/")[-1]
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if index_file_with_subfolder and subfolder is not None
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else index_file_with_subfolder
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)
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# only hf is supported currently
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if load_format == "auto":
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@@ -163,7 +180,7 @@ class DiffusersPipelineLoader:
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hf_weights_files = filter_duplicate_safetensors_files(
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hf_weights_files,
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filter_folder,
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index_file,
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index_file or "",
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)
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else:
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hf_weights_files = filter_files_not_needed_for_inference(hf_weights_files)
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