[speedster] _dl_check_map_versions assertion error with optimize_model and ONNX compilers about nebuly HOT 3 OPEN

root@66f17ec15c70:/# python
Python 3.8.10 (default, Mar 13 2023, 10:26:41)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch

>>> import torchvision.models as models
>>> from speedster import optimize_model
2023-06-21 02:33:42.382076: 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`.
2023-06-21 02:33:42.432123: 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 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-06-21 02:33:44.244064: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1956] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
>>>
>>> model = models.resnet50()
>>> input_data = [((torch.randn(1, 3, 256, 256), ), torch.tensor([0])) for _ in range(100)]
>>>
>>> optimized_model = optimize_model(
...     model,
...     input_data=input_data,
...     optimization_time="constrained",
...     metric_drop_ths=0.05
... )
2023-06-21 02:33:53 | INFO     | Running Speedster on GPU:0
2023-06-21 02:33:59 | INFO     | Benchmark performance of original model
2023-06-21 02:33:59 | INFO     | Original model latency: 0.004133939743041992 sec/iter
============= Diagnostic Run torch.onnx.export version 2.0.0+cu118 =============
verbose: False, log level: Level.ERROR
======================= 0 NONE 0 NOTE 0 WARNING 0 ERROR ========================

2023-06-21 02:34:02 | INFO     | [1/2] Running PyTorch Optimization Pipeline
2023-06-21 02:34:02 | INFO     | Optimizing with PytorchBackendCompiler and q_type: None.
2023-06-21 02:34:12 | INFO     | Optimized model latency: 0.003423929214477539 sec/iter
2023-06-21 02:34:12 | INFO     | Optimizing with PytorchBackendCompiler and q_type: QuantizationType.HALF.
2023-06-21 02:34:23 | INFO     | Optimized model latency: 0.004581451416015625 sec/iter
2023-06-21 02:34:23 | INFO     | Optimizing with PyTorchApacheTVMCompiler and q_type: None.
2023-06-21 02:41:47 | INFO     | Optimized model latency: 0.007593631744384766 sec/iter
2023-06-21 02:41:47 | INFO     | Optimizing with PyTorchApacheTVMCompiler and q_type: QuantizationType.HALF.
2023-06-21 02:50:06 | INFO     | Optimized model latency: 0.007908344268798828 sec/iter
2023-06-21 02:50:06 | INFO     | Optimizing with PyTorchApacheTVMCompiler and q_type: QuantizationType.DYNAMIC.
2023-06-21 02:58:06 | WARNING  | The optimized model will be discarded due to poor results obtained with the given metric.
2023-06-21 02:58:06 | INFO     | [2/2] Running ONNX Optimization Pipeline
2023-06-21 02:58:06 | INFO     | Optimizing with ONNXCompiler and q_type: None.
Inconsistency detected by ld.so: dl-version.c: 205: _dl_check_map_versions: Assertion `needed != NULL' failed!