belohlavek@kronos-dev:~/ALI$ python cifar10_cnn_tf.py -m foo -e 120
fake modprobe
fake modprobe
Using gpu device 0: Tesla K40c (CNMeM is disabled, cuDNN 4007)
E tensorflow/core/framework/op_kernel.cc:925] OpKernel ('op: "Round" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: Round
E tensorflow/core/framework/op_kernel.cc:925] OpKernel ('op: "Round" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: Round
E tensorflow/core/framework/op_kernel.cc:925] OpKernel ('op: "Round" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: Round
E tensorflow/core/framework/op_kernel.cc:925] OpKernel ('op: "Round" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_FLOAT } } }') for unknown op: Round
E tensorflow/core/framework/op_kernel.cc:925] OpKernel ('op: "Round" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_HALF } } }') for unknown op: Round
images (?, 32, 32, 3)
first layer (?, 16, 16, 32)
second layer (?, 8, 8, 40)
third layer (?, 4, 4, 50)
hidden pre (?, 128)
output (?, 10)
===================================
Epoch 0 ===================
Training