models_bb

[hexuhua69]

2023-12-11 15:28:28.542198: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-12-11 15:28:28.545103: 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: SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-11 15:28:28.551724: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/layers/core.py:1057: UserWarning: models_bb is not loaded, but a Lambda layer uses it. It may cause errors.
warnings.warn('{} is not loaded, but a Lambda layer uses it. '
Traceback (most recent call last):
File "2.binders.py", line 207, in
pdb_names = make_binders(data, data2, keywords)
File "2.binders.py", line 92, in make_binders
model_pos = load_model(dir_models + 'Orn.hdf5', custom_objects={'tf': tf, 'K': tf.keras.backend})
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/saving/save.py", line 206, in load_model
return hdf5_format.load_model_from_hdf5(filepath, custom_objects,
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 183, in load_model_from_hdf5
model = model_config_lib.model_from_config(model_config,
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/saving/model_config.py", line 64, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/layers/serialization.py", line 173, in deserialize
return generic_utils.deserialize_keras_object(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 354, in deserialize_keras_object
return cls.from_config(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 2261, in from_config
return functional.Functional.from_config(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/engine/functional.py", line 668, in from_config
input_tensors, output_tensors, created_layers = reconstruct_from_config(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/engine/functional.py", line 1275, in reconstruct_from_config
process_layer(layer_data)
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/engine/functional.py", line 1257, in process_layer
layer = deserialize_layer(layer_data, custom_objects=custom_objects)
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/layers/serialization.py", line 173, in deserialize
return generic_utils.deserialize_keras_object(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 354, in deserialize_keras_object
return cls.from_config(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/layers/core.py", line 1019, in from_config
function = cls._parse_function_from_config(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/layers/core.py", line 1071, in _parse_function_from_config
function = generic_utils.func_load(
File "/work/home/acuo40nkom/miniconda3/envs/gmxMMPBSA2/lib/python3.8/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 457, in func_load
code = marshal.loads(raw_code)
ValueError: bad marshal data (unknown type code)