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TensorFlow最佳实践__深度学习最佳实践_高性能计算-阿里云
阿里云HPC服务器在交付时已经安装好TensorFlow （版本 0.8rc），用户无需做任何额外工作即可直接运行。
# /disk1/deeplearning/anaconda2/bin/python -m"tensorflow.models.image.mnist.convolutional"I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locallyI tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locallyI tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locallyI tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locallyI tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locallySuccessfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.Extracting data/train-images-idx3-ubyte.gzExtracting data/train-labels-idx1-ubyte.gzExtracting data/t10k-images-idx3-ubyte.gzExtracting data/t10k-labels-idx1-ubyte.gzI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:name: Tesla M40major: 5 minor: 2 memoryClockRate (GHz) 1.112pciBusID 0000:06:00.0Total memory: 11.25GiBFree memory: 11.09GiBI tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zeroI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 1 with properties:name: Tesla M40major: 5 minor: 2 memoryClockRate (GHz) 1.112pciBusID 0000:87:00.0Total memory: 11.25GiBFree memory: 11.08GiBI tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 1I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y YI tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 1: Y YI tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla M40, pci bus id: 0000:06:00.0)I tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla M40, pci bus id: 0000:87:00.0)Initialized!Step 0 (epoch 0.00), 54.9 msMinibatch loss: 12.054, learning rate: 0.010000Minibatch error: 90.6%Validation error: 84.6%Step 100 (epoch 0.12), 7.2 msMinibatch loss: 3.269, learning rate: 0.010000Minibatch error: 6.2%Validation error: 6.7%Step 200 (epoch 0.23), 7.1 msMinibatch loss: 3.488, learning rate: 0.010000Minibatch error: 14.1%Validation error: 3.8%Step 300 (epoch 0.35), 7.1 msMinibatch loss: 3.186, learning rate: 0.010000Minibatch error: 7.8%Validation error: 3.3%Step 400 (epoch 0.47), 7.1 msMinibatch loss: 3.229, learning rate: 0.010000Minibatch error: 9.4%Validation error: 2.7%Step 500 (epoch 0.58), 7.1 msMinibatch loss: 3.296, learning rate: 0.010000Minibatch error: 7.8%Validation error: 2.7%Step 600 (epoch 0.70), 7.1 msMinibatch loss: 3.166, learning rate: 0.010000Minibatch error: 7.8%Validation error: 2.8%Step 700 (epoch 0.81), 7.0 msMinibatch loss: 2.999, learning rate: 0.010000Minibatch error: 3.1%Validation error: 2.2%Step 800 (epoch 0.93), 7.0 msMinibatch loss: 3.076, learning rate: 0.010000Minibatch error: 6.2%Validation error: 2.1%Step 900 (epoch 1.05), 7.0 msMinibatch loss: 2.937, learning rate: 0.009500Minibatch error: 3.1%Validation error: 1.5%Step 1000 (epoch 1.16), 7.0 msMinibatch loss: 2.864, learning rate: 0.009500Minibatch error: 1.6%Validation error: 1.8%Step 1100 (epoch 1.28), 7.0 msMinibatch loss: 2.812, learning rate: 0.009500Minibatch error: 0.0%Validation error: 1.6%Step 1200 (epoch 1.40), 7.0 msMinibatch loss: 2.943, learning rate: 0.009500Minibatch error: 4.7%Validation error: 1.5%Step 1300 (epoch 1.51), 7.0 msMinibatch loss: 2.767, learning rate: 0.009500Minibatch error: 0.0%Validation error: 1.6%Step 1400 (epoch 1.63), 7.0 msMinibatch loss: 2.787, learning rate: 0.009500Minibatch error: 3.1%Validation error: 1.4%Step 1500 (epoch 1.75), 7.0 msMinibatch loss: 2.875, learning rate: 0.009500Minibatch error: 6.2%Validation error: 1.2%Step 1600 (epoch 1.86), 7.0 msMinibatch loss: 2.712, learning rate: 0.009500Minibatch error: 1.6%Validation error: 1.4%Step 1700 (epoch 1.98), 7.0 msMinibatch loss: 2.652, learning rate: 0.009500Minibatch error: 0.0%Validation error: 1.5%Step 1800 (epoch 2.09), 7.0 msMinibatch loss: 2.670, learning rate: 0.009025Minibatch error: 1.6%Validation error: 1.4%Step 1900 (epoch 2.21), 7.0 msMinibatch loss: 2.657, learning rate: 0.009025Minibatch error: 3.1%Validation error: 1.2%Step 2000 (epoch 2.33), 7.0 msMinibatch loss: 2.648, learning rate: 0.009025Minibatch error: 3.1%Validation error: 1.2%Step 2100 (epoch 2.44), 7.0 msMinibatch loss: 2.575, learning rate: 0.009025Minibatch error: 1.6%Validation error: 1.1%Step 2200 (epoch 2.56), 7.0 msMinibatch loss: 2.565, learning rate: 0.009025Minibatch error: 0.0%Validation error: 1.2%Step 2300 (epoch 2.68), 7.0 msMinibatch loss: 2.561, learning rate: 0.009025Minibatch error: 1.6%Validation error: 1.1%Step 2400 (epoch 2.79), 7.0 msMinibatch loss: 2.508, learning rate: 0.009025Minibatch error: 0.0%Validation error: 1.1%Step 2500 (epoch 2.91), 7.0 msMinibatch loss: 2.472, learning rate: 0.009025Minibatch error: 0.0%Validation error: 1.2%Step 2600 (epoch 3.03), 7.0 msMinibatch loss: 2.460, learning rate: 0.008574Minibatch error: 0.0%Validation error: 1.2%Step 2700 (epoch 3.14), 7.0 msMinibatch loss: 2.488, learning rate: 0.008574Minibatch error: 1.6%Validation error: 1.0%Step 2800 (epoch 3.26), 7.0 msMinibatch loss: 2.420, learning rate: 0.008574Minibatch error: 1.6%Validation error: 1.2%Step 2900 (epoch 3.37), 7.0 msMinibatch loss: 2.433, learning rate: 0.008574Minibatch error: 4.7%Validation error: 1.1%Step 3000 (epoch 3.49), 7.0 msMinibatch loss: 2.398, learning rate: 0.008574Minibatch error: 1.6%Validation error: 1.2%Step 3100 (epoch 3.61), 7.0 msMinibatch loss: 2.376, learning rate: 0.008574Minibatch error: 1.6%Validation error: 1.0%Step 3200 (epoch 3.72), 7.0 msMinibatch loss: 2.335, learning rate: 0.008574Minibatch error: 0.0%Validation error: 1.1%Step 3300 (epoch 3.84), 7.1 msMinibatch loss: 2.320, learning rate: 0.008574Minibatch error: 0.0%Validation error: 1.2%Step 3400 (epoch 3.96), 7.1 msMinibatch loss: 2.297, learning rate: 0.008574Minibatch error: 1.6%Validation error: 1.2%Step 3500 (epoch 4.07), 7.1 msMinibatch loss: 2.274, learning rate: 0.008145Minibatch error: 0.0%Validation error: 1.2%Step 3600 (epoch 4.19), 7.1 msMinibatch loss: 2.258, learning rate: 0.008145Minibatch error: 0.0%Validation error: 1.0%Step 3700 (epoch 4.31), 7.1 msMinibatch loss: 2.232, learning rate: 0.008145Minibatch error: 0.0%Validation error: 0.9%Step 3800 (epoch 4.42), 7.0 msMinibatch loss: 2.244, learning rate: 0.008145Minibatch error: 1.6%Validation error: 0.9%Step 3900 (epoch 4.54), 7.0 msMinibatch loss: 2.315, learning rate: 0.008145Minibatch error: 3.1%Validation error: 0.9%Step 4000 (epoch 4.65), 7.0 msMinibatch loss: 2.200, learning rate: 0.008145Minibatch error: 0.0%Validation error: 1.0%Step 4100 (epoch 4.77), 7.1 msMinibatch loss: 2.201, learning rate: 0.008145Minibatch error: 1.6%Validation error: 0.9%Step 4200 (epoch 4.89), 7.1 msMinibatch loss: 2.208, learning rate: 0.008145Minibatch error: 1.6%Validation error: 1.1%Step 4300 (epoch 5.00), 7.1 msMinibatch loss: 2.185, learning rate: 0.007738Minibatch error: 1.6%Validation error: 1.0%Step 4400 (epoch 5.12), 7.1 msMinibatch loss: 2.147, learning rate: 0.007738Minibatch error: 1.6%Validation error: 1.0%Step 4500 (epoch 5.24), 7.1 msMinibatch loss: 2.191, learning rate: 0.007738Minibatch error: 6.2%Validation error: 1.0%Step 4600 (epoch 5.35), 7.1 msMinibatch loss: 2.102, learning rate: 0.007738Minibatch error: 0.0%Validation error: 0.9%Step 4700 (epoch 5.47), 7.1 msMinibatch loss: 2.102, learning rate: 0.007738Minibatch error: 1.6%Validation error: 0.8%Step 4800 (epoch 5.59), 7.1 msMinibatch loss: 2.051, learning rate: 0.007738Minibatch error: 0.0%Validation error: 1.0%Step 4900 (epoch 5.70), 7.1 msMinibatch loss: 2.039, learning rate: 0.007738Minibatch error: 0.0%Validation error: 0.9%Step 5000 (epoch 5.82), 7.1 msMinibatch loss: 2.134, learning rate: 0.007738Minibatch error: 3.1%Validation error: 1.0%Step 5100 (epoch 5.93), 7.1 msMinibatch loss: 2.007, learning rate: 0.007738Minibatch error: 0.0%Validation error: 1.0%Step 5200 (epoch 6.05), 7.1 msMinibatch loss: 2.097, learning rate: 0.007351Minibatch error: 4.7%Validation error: 0.9%Step 5300 (epoch 6.17), 7.1 msMinibatch loss: 1.987, learning rate: 0.007351Minibatch error: 0.0%Validation error: 1.0%Step 5400 (epoch 6.28), 7.1 msMinibatch loss: 1.958, learning rate: 0.007351Minibatch error: 0.0%Validation error: 0.8%Step 5500 (epoch 6.40), 7.1 msMinibatch loss: 1.959, learning rate: 0.007351Minibatch error: 1.6%Validation error: 0.9%Step 5600 (epoch 6.52), 7.0 msMinibatch loss: 1.929, learning rate: 0.007351Minibatch error: 0.0%Validation error: 0.8%Step 5700 (epoch 6.63), 7.0 msMinibatch loss: 1.914, learning rate: 0.007351Minibatch error: 0.0%Validation error: 1.0%Step 5800 (epoch 6.75), 7.1 msMinibatch loss: 1.903, learning rate: 0.007351Minibatch error: 0.0%Validation error: 0.8%Step 5900 (epoch 6.87), 7.0 msMinibatch loss: 1.887, learning rate: 0.007351Minibatch error: 0.0%Validation error: 0.8%Step 6000 (epoch 6.98), 7.1 msMinibatch loss: 1.876, learning rate: 0.007351Minibatch error: 0.0%Validation error: 1.0%Step 6100 (epoch 7.10), 7.0 msMinibatch loss: 1.858, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.9%Step 6200 (epoch 7.21), 7.1 msMinibatch loss: 1.843, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.9%Step 6300 (epoch 7.33), 7.1 msMinibatch loss: 1.840, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.9%^^Step 6400 (epoch 7.45), 7.1 msMinibatch loss: 1.871, learning rate: 0.006983Minibatch error: 3.1%Validation error: 0.8%Step 6500 (epoch 7.56), 7.1 msMinibatch loss: 1.807, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.9%Step 6600 (epoch 7.68), 7.1 msMinibatch loss: 1.810, learning rate: 0.006983Minibatch error: 1.6%Validation error: 1.0%Step 6700 (epoch 7.80), 7.1 msMinibatch loss: 1.782, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.8%Step 6800 (epoch 7.91), 7.1 msMinibatch loss: 1.769, learning rate: 0.006983Minibatch error: 0.0%Validation error: 0.9%Step 6900 (epoch 8.03), 7.1 msMinibatch loss: 1.762, learning rate: 0.006634Minibatch error: 0.0%Validation error: 0.9%Step 7000 (epoch 8.15), 7.1 msMinibatch loss: 1.769, learning rate: 0.006634Minibatch error: 1.6%Validation error: 0.9%Step 7100 (epoch 8.26), 7.0 msMinibatch loss: 1.739, learning rate: 0.006634Minibatch error: 0.0%Validation error: 0.9%Step 7200 (epoch 8.38), 7.0 msMinibatch loss: 1.757, learning rate: 0.006634Minibatch error: 1.6%Validation error: 0.9%Step 7300 (epoch 8.49), 7.1 msMinibatch loss: 1.740, learning rate: 0.006634Minibatch error: 1.6%Validation error: 0.8%Step 7400 (epoch 8.61), 7.0 msMinibatch loss: 1.702, learning rate: 0.006634Minibatch error: 0.0%Validation error: 0.8%Step 7500 (epoch 8.73), 7.1 msMinibatch loss: 1.696, learning rate: 0.006634Minibatch error: 0.0%Validation error: 0.8%Step 7600 (epoch 8.84), 7.1 msMinibatch loss: 1.806, learning rate: 0.006634Minibatch error: 1.6%Validation error: 0.8%Step 7700 (epoch 8.96), 7.1 msMinibatch loss: 1.670, learning rate: 0.006634Minibatch error: 0.0%Validation error: 0.9%Step 7800 (epoch 9.08), 7.1 msMinibatch loss: 1.657, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.8%Step 7900 (epoch 9.19), 7.1 msMinibatch loss: 1.648, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.9%Step 8000 (epoch 9.31), 7.1 msMinibatch loss: 1.666, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.8%Step 8100 (epoch 9.43), 7.1 msMinibatch loss: 1.626, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.9%Step 8200 (epoch 9.54), 7.1 msMinibatch loss: 1.630, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.9%Step 8300 (epoch 9.66), 7.1 msMinibatch loss: 1.609, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.8%Step 8400 (epoch 9.77), 7.1 msMinibatch loss: 1.598, learning rate: 0.006302Minibatch error: 0.0%Validation error: 0.7%Step 8500 (epoch 9.89), 7.1 msMinibatch loss: 1.605, learning rate: 0.006302Minibatch error: 1.6%Validation error: 0.9%Test error: 0.8%
最后更新：2016-11-23 17:16:10
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