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Het-Joshi avatar Het-Joshi commented on June 21, 2024

modify your save_train_state_to_file function to include logging and handle large objects:

# Add logging to identify large objects
import logging

def save_train_state_to_file(self, key, value, fout):
    try:
        packed_value = to_bytes(value)
        logging.info(f"Saving key: {key}, size: {len(packed_value)} bytes")
        fout.write(packer.pack((key, packed_value)))
    except ValueError as e:
        logging.error(f"Error saving key: {key}, size: {len(packed_value)} bytes")
        # Handle the error, potentially by splitting the object or taking other actions
        raise e

If value is too large, consider a method to split it into smaller chunks. Here's a simplified example:

import msgpack

def save_train_state_to_file(self, key, value, fout):
    try:
        packed_value = to_bytes(value)
        if len(packed_value) > SOME_THRESHOLD:  # Define a threshold based on your needs
            logging.info(f"Splitting large object: {key}")
            chunks = [packed_value[i:i + CHUNK_SIZE] for i in range(0, len(packed_value), CHUNK_SIZE)]
            for idx, chunk in enumerate(chunks):
                fout.write(packer.pack((f"{key}_part_{idx}", chunk)))
        else:
            fout.write(packer.pack((key, packed_value)))
    except ValueError as e:
        logging.error(f"Error saving key: {key}, size: {len(packed_value)} bytes")
        raise e

pip install --upgrade msgpack

from lwm.

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