AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

[lxgnzlz]

Hello! I was curious to know if anyone has come across this or a similar issue when importing frameBERT.

I believe I have the pre-requisites listed on the README, so I think my error may stem from dependencies conflicting.

Is there a perhaps a "requirements" file to check against in order to make sure I have the correct versions?

2021-12-10 13:49:57.573655: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
To use data.metrics please install scikit-learn. See https://scikit-learn.org/stable/index.html
2021-12-10 13:50:03.134504: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-12-10 13:50:03.165113: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1060 computeCapability: 6.1
coreClock: 1.6705GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s
2021-12-10 13:50:03.165664: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-12-10 13:50:03.166883: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-12-10 13:50:03.167655: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-12-10 13:50:03.168194: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-12-10 13:50:03.168822: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-12-10 13:50:03.169325: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusolver64_11.dll
2021-12-10 13:50:03.169877: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-12-10 13:50:03.170411: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2021-12-10 13:50:03.170901: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-12-10 13:50:03.174548: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-12-10 13:50:03.176525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1060 computeCapability: 6.1
coreClock: 1.6705GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s
2021-12-10 13:50:03.178104: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-12-10 13:50:04.828948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-12-10 13:50:04.829168: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0
2021-12-10 13:50:04.830758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N
2021-12-10 13:50:04.833889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4624 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce GTX 1060, pci bus id: 0000:01:00.0, compute capability: 6.1)
Traceback (most recent call last):
  File "C:\Users\xxx\Desktop\framebert_test\test.py", line 1, in <module>
    from frameBERT import frame_parser
  File "C:\Users\xxx\Desktop\framebert_test\frameBERT\frame_parser.py", line 14, in <module>
    from frameBERT.src import utils as frameBERT_utils
  File "C:\Users\xxx\Desktop\framebert_test\frameBERT\src\utils.py", line 6, in <module>
    from keras.preprocessing.sequence import pad_sequences
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\__init__.py", line 15, in <module>
    from . import layers
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\layers\__init__.py", line 6, in <module>
    from . import core
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\layers\core\__init__.py", line 19, in <module>
    from keras.layers.core.dense import Dense
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\layers\core\dense.py", line 21, in <module>
    from keras import initializers
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\initializers\__init__.py", line 124, in <module>
    populate_deserializable_objects()
  File "C:\Users\xxx\anaconda3\envs\frameBert\lib\site-packages\keras\initializers\__init__.py", line 82, in populate_deserializable_objects
    generic_utils.populate_dict_with_module_objects(
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'