Script started on 2021-04-12 00:13:49+0000
deeplearning@ML-RefVm-871628:~/mnist$ time python mnist-elastic.py.txt
2021-04-12 00:14:14.358362: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2021-04-12 00:14:15.613216: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2021-04-12 00:14:15.654278: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0001:00:00.0 name: Tesla K80 computeCapability: 3.7
coreClock: 0.8235GHz coreCount: 13 deviceMemorySize: 11.17GiB deviceMemoryBandwidth: 223.96GiB/s
2021-04-12 00:14:15.654327: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2021-04-12 00:14:15.656059: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10
2021-04-12 00:14:15.657720: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2021-04-12 00:14:15.658003: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2021-04-12 00:14:15.659839: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2021-04-12 00:14:15.660866: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10
2021-04-12 00:14:15.664794: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2021-04-12 00:14:15.666224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-04-12 00:14:15.666564: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-04-12 00:14:15.673125: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2596995000 Hz
2021-04-12 00:14:15.673923: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55da84ac71f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-04-12 00:14:15.673947: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2021-04-12 00:14:15.820291: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55da84b53350 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2021-04-12 00:14:15.820331: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla K80, Compute Capability 3.7
2021-04-12 00:14:15.821161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0001:00:00.0 name: Tesla K80 computeCapability: 3.7
coreClock: 0.8235GHz coreCount: 13 deviceMemorySize: 11.17GiB deviceMemoryBandwidth: 223.96GiB/s
2021-04-12 00:14:15.821206: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2021-04-12 00:14:15.821239: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10
2021-04-12 00:14:15.821278: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2021-04-12 00:14:15.821299: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2021-04-12 00:14:15.821317: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10
2021-04-12 00:14:15.821334: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10
2021-04-12 00:14:15.821356: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2021-04-12 00:14:15.822660: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-04-12 00:14:15.822707: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
2021-04-12 00:14:16.192665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-04-12 00:14:16.192715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0
2021-04-12 00:14:16.192730: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N
2021-04-12 00:14:16.194295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10626 MB memory) -> physical GPU (device: 0, name: Tesla K80, pci bus id: 0001:00:00.0, compute capability: 3.7)
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
reshape (Reshape)            (None, 784)               0
_________________________________________________________________
dense (Dense)                (None, 512)               401920
_________________________________________________________________
dropout (Dropout)            (None, 512)               0
_________________________________________________________________
dense_1 (Dense)              (None, 512)               262656
_________________________________________________________________
dropout_1 (Dropout)          (None, 512)               0
_________________________________________________________________
dense_2 (Dense)              (None, 10)                5130
=================================================================
Total params: 669,706
Trainable params: 669,706
Non-trainable params: 0
_________________________________________________________________
Epoch 1/32
2021-04-12 00:14:17.334676: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10
106/106 [==============================] - 46s 431ms/step - loss: 0.4623 - accuracy: 0.8541 - val_loss: 0.1644 - val_accuracy: 0.9497
Epoch 2/32
106/106 [==============================] - 46s 434ms/step - loss: 0.1955 - accuracy: 0.9403 - val_loss: 0.1228 - val_accuracy: 0.9625
Epoch 3/32
106/106 [==============================] - 46s 430ms/step - loss: 0.1356 - accuracy: 0.9572 - val_loss: 0.0885 - val_accuracy: 0.9738
Epoch 4/32
106/106 [==============================] - 46s 432ms/step - loss: 0.1074 - accuracy: 0.9666 - val_loss: 0.0710 - val_accuracy: 0.9798
Epoch 5/32
106/106 [==============================] - 46s 431ms/step - loss: 0.0901 - accuracy: 0.9721 - val_loss: 0.0676 - val_accuracy: 0.9788
Epoch 6/32
106/106 [==============================] - 46s 434ms/step - loss: 0.0812 - accuracy: 0.9751 - val_loss: 0.0624 - val_accuracy: 0.9818
Epoch 7/32
106/106 [==============================] - 46s 432ms/step - loss: 0.0713 - accuracy: 0.9768 - val_loss: 0.0573 - val_accuracy: 0.9828
Epoch 8/32
106/106 [==============================] - 46s 430ms/step - loss: 0.0633 - accuracy: 0.9799 - val_loss: 0.0521 - val_accuracy: 0.9840
Epoch 9/32
106/106 [==============================] - 45s 429ms/step - loss: 0.0606 - accuracy: 0.9810 - val_loss: 0.0572 - val_accuracy: 0.9840
Epoch 10/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0573 - accuracy: 0.9821 - val_loss: 0.0501 - val_accuracy: 0.9853
Epoch 11/32
106/106 [==============================] - 45s 429ms/step - loss: 0.0486 - accuracy: 0.9846 - val_loss: 0.0491 - val_accuracy: 0.9853
Epoch 12/32
106/106 [==============================] - 46s 430ms/step - loss: 0.0476 - accuracy: 0.9847 - val_loss: 0.0508 - val_accuracy: 0.9852
Epoch 13/32
106/106 [==============================] - 46s 430ms/step - loss: 0.0465 - accuracy: 0.9844 - val_loss: 0.0467 - val_accuracy: 0.9860
Epoch 14/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0429 - accuracy: 0.9865 - val_loss: 0.0455 - val_accuracy: 0.9877
Epoch 15/32
106/106 [==============================] - 46s 436ms/step - loss: 0.0411 - accuracy: 0.9873 - val_loss: 0.0447 - val_accuracy: 0.9873
Epoch 16/32
106/106 [==============================] - 45s 429ms/step - loss: 0.0389 - accuracy: 0.9875 - val_loss: 0.0465 - val_accuracy: 0.9865
Epoch 17/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0376 - accuracy: 0.9878 - val_loss: 0.0486 - val_accuracy: 0.9863
Epoch 18/32
106/106 [==============================] - 45s 426ms/step - loss: 0.0319 - accuracy: 0.9896 - val_loss: 0.0449 - val_accuracy: 0.9873
Epoch 19/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0324 - accuracy: 0.9889 - val_loss: 0.0449 - val_accuracy: 0.9893
Epoch 20/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0333 - accuracy: 0.9891 - val_loss: 0.0408 - val_accuracy: 0.9897
Epoch 21/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0316 - accuracy: 0.9896 - val_loss: 0.0424 - val_accuracy: 0.9880
Epoch 22/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0309 - accuracy: 0.9903 - val_loss: 0.0446 - val_accuracy: 0.9893
Epoch 23/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0286 - accuracy: 0.9909 - val_loss: 0.0444 - val_accuracy: 0.9890
Epoch 24/32
106/106 [==============================] - 46s 430ms/step - loss: 0.0287 - accuracy: 0.9905 - val_loss: 0.0406 - val_accuracy: 0.9897
Epoch 25/32
106/106 [==============================] - 45s 426ms/step - loss: 0.0273 - accuracy: 0.9913 - val_loss: 0.0423 - val_accuracy: 0.9893
Epoch 26/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0280 - accuracy: 0.9908 - val_loss: 0.0406 - val_accuracy: 0.9890
Epoch 27/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0257 - accuracy: 0.9918 - val_loss: 0.0423 - val_accuracy: 0.9893
Epoch 28/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0240 - accuracy: 0.9922 - val_loss: 0.0414 - val_accuracy: 0.9890
Epoch 29/32
106/106 [==============================] - 45s 427ms/step - loss: 0.0231 - accuracy: 0.9923 - val_loss: 0.0439 - val_accuracy: 0.9898
Epoch 30/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0234 - accuracy: 0.9926 - val_loss: 0.0434 - val_accuracy: 0.9888
Epoch 31/32
106/106 [==============================] - 45s 428ms/step - loss: 0.0239 - accuracy: 0.9922 - val_loss: 0.0430 - val_accuracy: 0.9888
Epoch 32/32
106/106 [==============================] - 46s 431ms/step - loss: 0.0230 - accuracy: 0.9925 - val_loss: 0.0416 - val_accuracy: 0.9892

real    24m47.424s
user    24m56.129s
sys     0m11.575s
deeplearning@ML-RefVm-871628:~/mnist$ exit
exit

Script done on 2021-04-12 00:38:52+0000