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License: Other
Fraunhofer Neural Network Encoder/Decoder (NNCodec)
License: Other
Traceback (most recent call last):
File "/my_data/nncodec/test.py", line 1, in <module>
import nnc
File "/my_data/nncodec/nnc/__init__.py", line 41, in <module>
from .compression import compress, decompress, compress_model, decompress_model, guess_block_id_and_param_type
File "/my_data/nncodec/nnc/compression.py", line 54, in <module>
from framework import tensorflow_model
File "/my_data/nncodec/framework/__init__.py", line 46, in <module>
from . import tensorflow_model
File "/my_data/nncodec/framework/tensorflow_model/__init__.py", line 242
model_file = h5py.File(model_path, 'r')
^
IndentationError: expected an indented block after 'except' statement on line 240
an error during the usage test in Python 3.10.13 version. There was no problem with the behavior after simple correction.
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hello, as the title, my question is how can I use nnc to compress an already quantized model?
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