제 블로그에서 찾으려고 여러 코드/로그 저장합니다. (큰 의미없음)

_________________________________________________________________

WARNING:tensorflow:From O:/PycharmProjects/catdogtf2.2/001.py:133: Model.fit_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.

Instructions for updating:

Please use Model.fit, which supports generators.

 

 

 

failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

 

D:\Program Files\NVIDIA Corporation\nvsmi

 

https://www.nvidia.co.kr/Download/index.aspx?lang=kr

 

d:\nvidia

 

Failed to initialize NVML: Unknown Error

 

 

 

D:\Program Files\NVIDIA Corporation\NVSMI>nvidia-smi.exe

Failed to initialize NVML: Unknown Error

 

D:\Program Files\NVIDIA Corporation\NVSMI>nvidia-smi.exe

Mon Aug 10 18:56:04 2020

+-----------------------------------------------------------------------------+

| NVIDIA-SMI 388.13                 Driver Version: 451.67                    |

|-------------------------------+----------------------+----------------------+

| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |

| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |

|===============================+======================+======================|

|   0  GeForce RTX 208... WDDM  | 00000000:09:00.0  On |                  N/A |

| 16%   49C    P8     6W / 250W |    372MiB /  8192MiB |      5%      Default |

+-------------------------------+----------------------+----------------------+

 

+-----------------------------------------------------------------------------+

| Processes:                                                       GPU Memory |

|  GPU       PID   Type   Process name                             Usage      |

|=============================================================================|

Internal error

 

D:\Program Files\NVIDIA Corporation\NVSMI>

 

Python 3.7.7 (default, May  6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)] on win32

>>> runfile('O:/PycharmProjects/catdogtf2.2/001.py', wdir='O:/PycharmProjects/catdogtf2.2')

2020-08-10 18:58:07.273739: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll

2020-08-10 18:58:09.472382: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll

2020-08-10 18:58:09.522700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:

pciBusID: 0000:09:00.0 name: GeForce RTX 2080 SUPER computeCapability: 7.5

coreClock: 1.845GHz coreCount: 48 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 462.00GiB/s

2020-08-10 18:58:09.523231: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll

2020-08-10 18:58:09.630640: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll

2020-08-10 18:58:09.739451: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll

2020-08-10 18:58:09.767974: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll

2020-08-10 18:58:09.859263: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll

2020-08-10 18:58:09.901611: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll

2020-08-10 18:58:10.104479: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll

2020-08-10 18:58:10.104874: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0

2020-08-10 18:58:10.105523: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

2020-08-10 18:58:10.117841: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ee580c2550 initialized for platform Host (this does not guarantee that XLA will be used). Devices:

2020-08-10 18:58:10.118253: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version

2020-08-10 18:58:10.118581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:

pciBusID: 0000:09:00.0 name: GeForce RTX 2080 SUPER computeCapability: 7.5

coreClock: 1.845GHz coreCount: 48 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 462.00GiB/s

2020-08-10 18:58:10.119137: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll

2020-08-10 18:58:10.119473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll

2020-08-10 18:58:10.119767: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll

2020-08-10 18:58:10.120060: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll

2020-08-10 18:58:10.120364: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll

2020-08-10 18:58:10.120668: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll

2020-08-10 18:58:10.120965: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll

2020-08-10 18:58:10.121312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0

2020-08-10 18:58:10.979136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:

2020-08-10 18:58:10.979373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0

2020-08-10 18:58:10.979563: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N

2020-08-10 18:58:10.979987: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6198 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 SUPER, pci bus id: 0000:09:00.0, compute capability: 7.5)

2020-08-10 18:58:10.983679: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ee20800930 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:

2020-08-10 18:58:10.984072: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): GeForce RTX 2080 SUPER, Compute Capability 7.5

2020-08-10 18:58:10.986288: I tensorflow/core/common_runtime/eager/execute.cc:501] Executing op MatMul in device /job:localhost/replica:0/task:0/device:GPU:0

2020-08-10 18:58:10.986835: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll

 

 

CPU 사용량 100% 에서

 

30%로 떨어짐.

 

GPU는 메모리가 중요...

RTX 8000이 쿠다 성능 점수는 같은데 900만원 하는 이유가 있네.