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model-conversion : fix pyright errors (#15770)
This commit addresses type errors reported by pyright in the model conversion scripts.
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@@ -3,11 +3,10 @@
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import argparse
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import os
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import importlib
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import sys
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import torch
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import numpy as np
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from transformers import AutoTokenizer, AutoConfig, AutoModel, AutoModelForCausalLM
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from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM
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from pathlib import Path
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unreleased_model_name = os.getenv('UNRELEASED_MODEL_NAME')
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@@ -43,6 +42,8 @@ if unreleased_model_name:
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model = model_class.from_pretrained(model_path)
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except (ImportError, AttributeError) as e:
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print(f"Failed to import or load model: {e}")
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print("Falling back to AutoModelForCausalLM")
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model = AutoModelForCausalLM.from_pretrained(model_path)
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else:
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model = AutoModelForCausalLM.from_pretrained(model_path)
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print(f"Model class: {type(model)}")
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@@ -40,7 +40,7 @@ if os.path.exists(index_path):
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file_path = os.path.join(model_path, file_name)
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print(f"\n--- From {file_name} ---")
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with safe_open(file_path, framework="pt") as f:
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with safe_open(file_path, framework="pt") as f: # type: ignore
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for tensor_name in sorted(tensor_names):
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tensor = f.get_tensor(tensor_name)
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print(f"- {tensor_name} : shape = {tensor.shape}, dtype = {tensor.dtype}")
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@@ -49,7 +49,7 @@ elif os.path.exists(single_file_path):
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# Single file model (original behavior)
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print("Single-file model detected")
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with safe_open(single_file_path, framework="pt") as f:
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with safe_open(single_file_path, framework="pt") as f: # type: ignore
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keys = f.keys()
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print("Tensors in model:")
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for key in sorted(keys):
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