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| mnist_layers_activations.py --layers 0 --activation none | |
| 91.85 | |
| mnist_layers_activations.py --layers 1 --activation none | |
| 92.40 | |
| mnist_layers_activations.py --layers 1 --activation sigmoid | |
| 92.43 | |
| mnist_layers_activations.py --layers 1 --activation tanh | |
| 95.64 | |
| mnist_layers_activations.py --layers 1 --activation relu | |
| 96.48 | |
| mnist_layers_activations.py --layers 3 --activation sigmoid | |
| 88.06 | |
| mnist_layers_activations.py --layers 3 --activation relu | |
| 97.27 | |
| mnist_layers_activations.py --layers 5 --activation sigmoid | |
| 11.35 |
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| /usr/bin/env bash /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/run_mnist_layers_activations_configurations.sh | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 0 --activation none | |
| 2018-03-11 23:50:53.892319: 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 | |
| 2018-03-11 23:50:53.985466: 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 | |
| 2018-03-11 23:50:53.985685: 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: 3.01GiB | |
| 2018-03-11 23:50:53.985697: 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 | |
| 91.85 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 1 --activation none | |
| 2018-03-11 23:51:05.465105: 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 | |
| 2018-03-11 23:51:05.555796: 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 | |
| 2018-03-11 23:51:05.556014: 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: 3.01GiB | |
| 2018-03-11 23:51:05.556026: 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 | |
| 92.40 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 1 --activation sigmoid | |
| 2018-03-11 23:51:18.493634: 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 | |
| 2018-03-11 23:51:18.582990: 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 | |
| 2018-03-11 23:51:18.583378: 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: 2.97GiB | |
| 2018-03-11 23:51:18.583409: 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 | |
| 92.43 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 1 --activation tanh | |
| 2018-03-11 23:51:31.115622: 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 | |
| 2018-03-11 23:51:31.211828: 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 | |
| 2018-03-11 23:51:31.212077: 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: 2.97GiB | |
| 2018-03-11 23:51:31.212088: 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 | |
| 95.64 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 1 --activation relu | |
| 2018-03-11 23:51:44.164141: 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 | |
| 2018-03-11 23:51:44.254735: 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 | |
| 2018-03-11 23:51:44.255007: 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: 2.99GiB | |
| 2018-03-11 23:51:44.255019: 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 | |
| 96.48 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 3 --activation sigmoid | |
| 2018-03-11 23:51:57.207746: 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 | |
| 2018-03-11 23:51:57.310163: 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 | |
| 2018-03-11 23:51:57.310381: 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: 2.97GiB | |
| 2018-03-11 23:51:57.310392: 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 | |
| 88.06 | |
| /usr/bin/python3 /home/mathemage/deep-learning-mff-uk-2018-summer-semester/labs/01/mnist_layers_activations.py --layers 3 --activation relu | |
| 2018-03-11 23:52:11.744883: 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 | |
| 2018-03-11 23:52:11.836295: 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 | |
| 2018-03-11 23:52:11.836507: 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: 2.97GiB | |
| 2018-03-11 23:52:11.836517: 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/01/mnist_layers_activations.py --layers 5 --activation sigmoid | |
| 2018-03-11 23:52:26.080347: 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 | |
| 2018-03-11 23:52:26.171468: 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 | |
| 2018-03-11 23:52:26.171679: 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: 2.97GiB | |
| 2018-03-11 23:52:26.171690: 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 | |
| 11.35 | |
| Process finished with exit code 0 |
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