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train.log
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TensorFlow Version: 1.2.1
2017-10-08 17:58:24.699308: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-10-08 17:58:24.699814: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: Tesla K80
major: 3 minor: 7 memoryClockRate (GHz) 0.8235
pciBusID 0000:00:1e.0
Total memory: 11.17GiB
Free memory: 11.11GiB
2017-10-08 17:58:24.699838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2017-10-08 17:58:24.699846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2017-10-08 17:58:24.700747: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
2017-10-08 17:58:24.829606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
Default GPU Device: /gpu:0
2017-10-08 17:58:24.830912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
Tests Passed
Tests Passed
2017-10-08 17:59:01.008120: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
2017-10-08 17:59:02.170419: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 1 visible devices
2017-10-08 17:59:02.170462: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 4 visible devices
2017-10-08 17:59:02.172339: I tensorflow/compiler/xla/service/service.cc:198] XLA service 0x3e62fe0 executing computations on platform Host. Devices:
2017-10-08 17:59:02.172362: I tensorflow/compiler/xla/service/service.cc:206] StreamExecutor device (0): <undefined>, <undefined>
2017-10-08 17:59:02.173750: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 1 visible devices
2017-10-08 17:59:02.173775: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 4 visible devices
2017-10-08 17:59:02.174645: I tensorflow/compiler/xla/service/service.cc:198] XLA service 0x3e47230 executing computations on platform CUDA. Devices:
2017-10-08 17:59:02.174665: I tensorflow/compiler/xla/service/service.cc:206] StreamExecutor device (0): Tesla K80, Compute Capability 3.7
Tests Passed
2017-10-08 17:59:32.319150: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
Tests Passed
Tests Passed
Downloading pre-trained vgg model...
997MB [00:41, 23.8MB/s]
Extracting model...
2017-10-08 18:00:24.201811: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K80, pci bus id: 0000:00:1e.0)
epoch: 0 batch: 0 loss: 1.01993 took(s): 155.6134262084961
epoch: 0 batch: 1 loss: 0.946325 took(s): 0.6350221633911133
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epoch: 0 batch: 3 loss: 0.783004 took(s): 0.6042401790618896
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epoch: 0 batch: 6 loss: 0.741027 took(s): 0.604219913482666
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