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Runtime error
Mustafa Öztürk commited on
Commit ·
be2ed92
1
Parent(s): c399765
Add startup diagnostics for model load and int8
Browse files- app/ml/model_loader.py +17 -7
app/ml/model_loader.py
CHANGED
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@@ -22,10 +22,12 @@ def load_system():
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device_id = 0 if torch.cuda.is_available() else -1
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torch_device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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tokenizer_o = AutoTokenizer.from_pretrained(TR_OFF_MODEL_PATH)
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model_o = AutoModelForSequenceClassification.from_pretrained(TR_OFF_MODEL_PATH).to(torch_device)
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model_o.eval()
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if torch_device.type == "cpu":
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try:
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@@ -36,8 +38,9 @@ def load_system():
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)
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model_o.eval()
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gc.collect()
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-
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try:
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gibberish = pipeline(
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@@ -45,11 +48,15 @@ def load_system():
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model="madhurjindal/autonlp-Gibberish-Detector-492513457",
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device=device_id,
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)
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gibberish = None
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detox_en = Detoxify("original")
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detox_multi = Detoxify("multilingual")
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if torch_device.type == "cpu":
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try:
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@@ -59,8 +66,9 @@ def load_system():
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dtype=torch.qint8,
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)
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gc.collect()
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try:
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detox_multi.model = torch.quantization.quantize_dynamic(
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detox_multi.model,
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@@ -68,8 +76,9 @@ def load_system():
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dtype=torch.qint8,
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)
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gc.collect()
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-
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_STATE.update(
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{
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@@ -81,6 +90,7 @@ def load_system():
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"TORCH_DEVICE": torch_device,
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}
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)
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return _STATE
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device_id = 0 if torch.cuda.is_available() else -1
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torch_device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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print(f"[LOAD] Device: {torch_device}")
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tokenizer_o = AutoTokenizer.from_pretrained(TR_OFF_MODEL_PATH)
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model_o = AutoModelForSequenceClassification.from_pretrained(TR_OFF_MODEL_PATH).to(torch_device)
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model_o.eval()
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print("[LOAD] BERTurk yüklendi")
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if torch_device.type == "cpu":
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try:
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)
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model_o.eval()
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gc.collect()
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print("[LOAD] BERTurk INT8 OK")
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except Exception as e:
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print(f"[LOAD] BERTurk INT8 HATA: {e}")
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try:
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gibberish = pipeline(
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model="madhurjindal/autonlp-Gibberish-Detector-492513457",
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device=device_id,
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)
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print("[LOAD] Gibberish yüklendi")
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except Exception as e:
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print(f"[LOAD] Gibberish HATA: {e}")
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gibberish = None
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detox_en = Detoxify("original")
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print("[LOAD] Detoxify EN yüklendi")
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detox_multi = Detoxify("multilingual")
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print("[LOAD] Detoxify Multi yüklendi")
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if torch_device.type == "cpu":
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try:
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dtype=torch.qint8,
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)
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gc.collect()
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print("[LOAD] Detoxify EN INT8 OK")
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except Exception as e:
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print(f"[LOAD] Detoxify EN INT8 HATA: {e}")
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try:
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detox_multi.model = torch.quantization.quantize_dynamic(
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detox_multi.model,
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dtype=torch.qint8,
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)
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gc.collect()
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print("[LOAD] Detoxify Multi INT8 OK")
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except Exception as e:
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print(f"[LOAD] Detoxify Multi INT8 HATA: {e}")
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_STATE.update(
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{
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"TORCH_DEVICE": torch_device,
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}
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)
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print("[LOAD] Sistem hazir")
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return _STATE
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