TensorFlow : Install Docker Image (GPU)2020/07/27

	Install TensorFlow which is the Machine Learning Library. On this example, Install TensorFlow official Docker Image with GPU support and run it on Containers.
[1]	Install NVIDIA Container Toolkit, refer to here.
[2]	Install and use TensorFlow Docker (GPU) by root user account. On this example, use CUDA 10.1 and TensorFlow 2.1.0. If you'd like to use it by a common user, it needs to belong to a [docker] group. You can see Tested build configurations on the site below. ⇒ https://www.tensorflow.org/install/source?hl=en#gpu_support_2

# pull CUDA/TensorFlow image

root@dlp:~#

docker pull nvidia/cuda:10.1-base

root@dlp:~#

docker pull tensorflow/tensorflow:2.1.0-gpu-py3

root@dlp:~#

docker images

REPOSITORY              TAG                 IMAGE ID            CREATED             SIZE
tensorflow/tensorflow   2.1.0-gpu-py3       e2a4af785bdb        6 months ago        4.11GB
nvidia/cuda             10.1-base           3b55548ae91f        8 months ago        106MB

# verify to run [nvidia-smi]

root@dlp:~#

docker run --gpus all --rm nvidia/cuda:10.1-base nvidia-smi

Mon Jul 27 01:53:00 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.100      Driver Version: 440.100      CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1070    Off  | 00000000:04:00.0 Off |                  N/A |
|  0%   38C    P8     8W / 180W |     15MiB /  8119MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+

# verify to run TensorFlow

root@dlp:~#

docker run --gpus all --rm tensorflow/tensorflow:2.1.0-gpu-py3 \
python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

2020-07-27 01:53:22.255110: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6
2020-07-27 01:53:22.258091: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6
2020-07-27 01:53:22.966070: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-07-27 01:53:22.985003: 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
2020-07-27 01:53:22.986192: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:04:00.0 name: GeForce GTX 1070 computeCapability: 6.1
coreClock: 1.7845GHz coreCount: 15 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 238.66GiB/s
2020-07-27 01:53:22.986255: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-27 01:53:22.986308: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-27 01:53:22.989674: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-27 01:53:22.990269: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-27 01:53:22.994329: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-27 01:53:22.996053: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-27 01:53:22.996100: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-27 01:53:22.996210: 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
2020-07-27 01:53:22.997063: 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
2020-07-27 01:53:22.997879: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-07-27 01:53:23.009022: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2801765000 Hz
2020-07-27 01:53:23.009392: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x58dc350 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-07-27 01:53:23.009416: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-07-27 01:53:23.257912: 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
2020-07-27 01:53:23.258737: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5952030 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-07-27 01:53:23.258761: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): GeForce GTX 1070, Compute Capability 6.1
2020-07-27 01:53:23.259285: 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
2020-07-27 01:53:23.259835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:04:00.0 name: GeForce GTX 1070 computeCapability: 6.1
coreClock: 1.7845GHz coreCount: 15 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 238.66GiB/s
2020-07-27 01:53:23.259890: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-27 01:53:23.259918: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-27 01:53:23.259946: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-27 01:53:23.259981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-27 01:53:23.260012: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-27 01:53:23.260045: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-27 01:53:23.260070: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-27 01:53:23.260156: 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
2020-07-27 01:53:23.260770: 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
2020-07-27 01:53:23.261338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-07-27 01:53:23.261408: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-27 01:53:23.531828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-07-27 01:53:23.531899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102]      0
2020-07-27 01:53:23.531913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0:   N
2020-07-27 01:53:23.532502: 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
2020-07-27 01:53:23.533144: 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
2020-07-27 01:53:23.533759: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7566 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1070, pci bus id: 0000:04:00.0, compute capability: 6.1)
tf.Tensor(164.75748, shape=(), dtype=float32)

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