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[FIX] calib avg for calib dataset arg passed as tensors #254

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Jul 21, 2024
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[FIX] calib avg for calib dataset arg passed as tensors #254

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10 changes: 7 additions & 3 deletions gptqmodel/models/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -182,14 +182,18 @@ def quantize(

# Calculate the average length of the average input_ids
total_input_ids_length = 0
for e in calibration_dataset:
input_ids_length = len(e["input_ids"])
for row in calibration_dataset:
input_ids = row["input_ids"]
if isinstance(input_ids, torch.Tensor):
input_ids_length = input_ids.shape[1]
else:
input_ids_length = len(input_ids)
total_input_ids_length += input_ids_length
avg = total_input_ids_length / len(calibration_dataset)

if avg < min_calibration_dataset_input_ids_avg_length:
logger.warning(f"The average length of input_ids of calibration_dataset should be greater than "
f"{min_calibration_dataset_input_ids_avg_length}! Current AVG is {avg}.")
f"{min_calibration_dataset_input_ids_avg_length}: actual avg: {avg}.")

device_map = self.hf_device_map
if device_map:
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