Not using my Nvidia about cartoonize HOT 2 CLOSED

[2022-02-23 14:16:11 +0000] [1] [INFO] Starting gunicorn 20.0.4
[2022-02-23 14:16:11 +0000] [1] [INFO] Listening at: http://0.0.0.0:8080 (1)
[2022-02-23 14:16:11 +0000] [1] [INFO] Using worker: threads
[2022-02-23 14:16:11 +0000] [9] [INFO] Booting worker with pid: 9
2022-02-23 14:16:13.149256: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer.so.6'; dlerror: libnvinfer.so.6: cannot open shared object file: No such file or directory
2022-02-23 14:16:13.149397: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer_plugin.so.6'; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory
2022-02-23 14:16:13.149479: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
WARNING:tensorflow:From /usr/local/lib/python3.7/site-packages/tf_slim/layers/layers.py:1089: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `layer.__call__` method instead.
WARNING:tensorflow:From /usr/local/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1635: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
2022-02-23 14:16:14.478195: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2022-02-23 14:16:14.504501: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2801090000 Hz
2022-02-23 14:16:14.506413: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56198e1be820 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-02-23 14:16:14.506500: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2022-02-23 14:16:14.514652: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2022-02-23 14:16:14.616052: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-02-23 14:16:14.616312: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56198e191060 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2022-02-23 14:16:14.616361: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce GTX 1050, Compute Capability 6.1
2022-02-23 14:16:14.616608: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-02-23 14:16:14.616746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1050 computeCapability: 6.1
coreClock: 1.493GHz coreCount: 5 deviceMemorySize: 3.95GiB deviceMemoryBandwidth: 104.43GiB/s
2022-02-23 14:16:14.616936: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617030: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617112: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617192: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10'; dlerror: libcurand.so.10: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617270: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10'; dlerror: libcusolver.so.10: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617360: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10'; dlerror: libcusparse.so.10: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617438: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory
2022-02-23 14:16:14.617450: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1592] 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...
2022-02-23 14:16:14.617471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-02-23 14:16:14.617481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102]      0 
2022-02-23 14:16:14.617492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0:   N