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| /usr/bin/env bash /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/run_mnist_training_configurations.sh | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 | |
| 2018-03-16 11:43:21.639779: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:43:21.731973: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:43:21.732191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:43:21.732202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 95.97 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 | |
| 2018-03-16 11:43:42.799735: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:43:42.888106: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:43:42.888386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:43:42.888398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 95.97 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 | |
| 2018-03-16 11:44:04.093276: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:44:04.180679: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:44:04.180888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:44:04.180899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 95.97 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 | |
| 2018-03-16 11:44:25.358653: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:44:25.444537: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:44:25.444753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:44:25.444764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 95.96 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 | |
| 2018-03-16 11:44:46.521839: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:44:46.608528: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:44:46.608825: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:44:46.608837: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 95.97 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 --momentum 0.9 | |
| 2018-03-16 11:45:07.728388: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:45:07.821279: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:45:07.821497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:45:07.821508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.98 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 --momentum 0.9 | |
| 2018-03-16 11:45:29.451697: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:45:29.540177: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:45:29.540386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:45:29.540397: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.96 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 --momentum 0.9 | |
| 2018-03-16 11:45:51.195099: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:45:51.281867: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:45:51.282077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:45:51.282088: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.02 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 --momentum 0.9 | |
| 2018-03-16 11:46:13.265853: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:46:13.352431: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:46:13.352639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:46:13.352650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.99 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.01 --momentum 0.9 | |
| 2018-03-16 11:46:35.096510: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:46:35.183081: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:46:35.183335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:46:35.183346: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.98 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.1 | |
| 2018-03-16 11:46:56.539853: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:46:56.626279: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:46:56.626576: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:46:56.626587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.95 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.1 | |
| 2018-03-16 11:47:17.790501: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:47:17.879549: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:47:17.879759: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:47:17.879770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.00 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.1 | |
| 2018-03-16 11:47:39.382903: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:47:39.468930: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:47:39.469161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:47:39.469172: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.01 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.1 | |
| 2018-03-16 11:48:00.834935: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:48:00.927418: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:48:00.927676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:48:00.927688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.99 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer SGD --learning_rate 0.1 | |
| 2018-03-16 11:48:22.974601: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:48:23.064469: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:48:23.064704: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:48:23.064746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.00 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.001 | |
| 2018-03-16 11:48:44.771086: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:48:44.860135: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:48:44.860345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:48:44.860356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.95 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.001 | |
| 2018-03-16 11:49:09.004576: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:49:09.094209: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:49:09.094417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:49:09.094429: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.19 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.001 | |
| 2018-03-16 11:49:33.536529: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:49:33.624919: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:49:33.625129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:49:33.625139: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.98 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.001 | |
| 2018-03-16 11:49:57.695471: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:49:57.784014: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:49:57.784233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:49:57.784244: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 98.11 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.001 | |
| 2018-03-16 11:50:21.729038: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:50:21.819071: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:50:21.819283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:50:21.819293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.99 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.01 --learning_rate_final 0.001 | |
| 2018-03-16 11:50:45.927835: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:50:46.016341: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:50:46.016551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:50:46.016562: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 96.69 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.01 --learning_rate_final 0.001 | |
| 2018-03-16 11:51:12.257624: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:51:12.350422: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:51:12.350661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:51:12.350673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 96.89 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.01 --learning_rate_final 0.001 | |
| 2018-03-16 11:51:38.572004: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:51:38.659040: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:51:38.659304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:51:38.659317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.10 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.01 --learning_rate_final 0.001 | |
| 2018-03-16 11:52:05.075093: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:52:05.163812: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:52:05.164021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:52:05.164032: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.27 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py --optimizer Adam --learning_rate 0.01 --learning_rate_final 0.001 | |
| 2018-03-16 11:52:31.556344: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA | |
| 2018-03-16 11:52:31.644285: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero | |
| 2018-03-16 11:52:31.644519: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties: | |
| name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 | |
| pciBusID: 0000:01:00.0 | |
| totalMemory: 3.95GiB freeMemory: 2.87GiB | |
| 2018-03-16 11:52:31.644531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1) | |
| Extracting ./train-images-idx3-ubyte.gz | |
| Extracting ./train-labels-idx1-ubyte.gz | |
| Extracting ./t10k-images-idx3-ubyte.gz | |
| Extracting ./t10k-labels-idx1-ubyte.gz | |
| 97.02 | |
| Process finished with exit code 0 |
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| #!/usr/bin/env bash | |
| INTERPRETER=/usr/bin/python3 | |
| SCRIPT=/home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/02/mnist_training.py | |
| ARGS=( | |
| "SGD 0.01" | |
| "SGD 0.01 --momentum 0.9" | |
| "SGD 0.1" | |
| "Adam 0.001" | |
| "Adam 0.01 --learning_rate_final 0.001" | |
| ) | |
| for line in "${ARGS[@]}"; do | |
| arg=($line) | |
| command="$INTERPRETER $SCRIPT --optimizer ${arg[0]} --learning_rate ${arg[1]} ${arg[2]} ${arg[3]}" | |
| for i in $(seq 5); do | |
| echo ${command} | |
| ${command} | |
| echo | |
| done | |
| done |
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