Hello, thank you for your sharing.
I tried running 3.lgfuzzer.py, but I encountered an error that I couldn't solve.
2025-09-17 20:23:16.592629: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-09-17 20:23:16.593858: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-17 20:23:16.613226: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-17 20:23:16.613469: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-17 20:23:16.958481: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2025-09-17 20:23:17.372303: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:266] failed call to cuInit: CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE: forward compatibility was attempted on non supported HW
2025-09-17 20:23:17.372329: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:168] retrieving CUDA diagnostic information for host: ovo
2025-09-17 20:23:17.372332: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:175] hostname: ovo
2025-09-17 20:23:17.372404: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:199] libcuda reported version is: 570.181.0
2025-09-17 20:23:17.372416: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:203] kernel reported version is: 570.153.2
2025-09-17 20:23:17.372419: E tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:312] kernel version 570.153.2 does not match DSO version 570.181.0 -- cannot find working devices in this configuration
2025-09-17 20:23:17.462711: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_2_grad/concat/split_2/split_dim' with dtype int32
[[{{node gradients/split_2_grad/concat/split_2/split_dim}}]]
2025-09-17 20:23:17.463108: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_grad/concat/split/split_dim' with dtype int32
[[{{node gradients/split_grad/concat/split/split_dim}}]]
2025-09-17 20:23:17.463516: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'gradients/split_1_grad/concat/split_1/split_dim' with dtype int32
[[{{node gradients/split_1_grad/concat/split_1/split_dim}}]]
Traceback (most recent call last):
File "/home/ovo/Desktop/projects_ICS/ICSearcher/3.lgfuzzer.py", line 9, in <module>
run_fuzzing(np_data)
File "/home/ovo/Desktop/projects_ICS/ICSearcher/uavga/fuzzer.py", line 119, in run_fuzzing
predictor.read_model()
File "/home/ovo/Desktop/projects_ICS/ICSearcher/ModelFit/approximate.py", line 625, in read_model
self._model = load_model(f'model/{toolConfig.MODE}/{self.in_out}/lstm.h5',custom_objects={'Adam': adam})
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/saving/save.py", line 200, in load_model
return hdf5_format.load_model_from_hdf5(filepath, custom_objects,
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 198, in load_model_from_hdf5
model.compile(**saving_utils.compile_args_from_training_config(
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/saving/saving_utils.py", line 207, in compile_args_from_training_config
optimizer = optimizers.deserialize(optimizer_config)
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/optimizers.py", line 94, in deserialize
return deserialize_keras_object(
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 659, in deserialize_keras_object
(cls, cls_config) = class_and_config_for_serialized_keras_object(
File "/home/ovo/miniconda3/envs/ics/lib/python3.10/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 556, in class_and_config_for_serialized_keras_object
raise ValueError(
ValueError: Unknown optimizer: Custom>Adam. Please ensure this object is passed to the `custom_objects` argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.
Hello, thank you for your sharing.
I tried running
3.lgfuzzer.py, but I encountered an error that I couldn't solve.Could you please give me some suggestions for solving it?
Thank you so much!