📅  最后修改于: 2020-10-16 02:37:55             🧑  作者: Mango
Google为您的Colab笔记本提供了免费的GPU。
要在笔记本中启用GPU,请选择以下菜单选项-
Runtime / Change runtime type
您将看到以下屏幕作为输出-
选择GPU ,您的笔记本将在处理过程中使用云中提供的免费GPU。要获得GPU处理的感觉,请尝试运行您先前克隆的MNIST教程中的示例应用程序。
!python3 "/content/drive/My Drive/app/mnist_cnn.py"
尝试在未启用GPU的情况下运行相同的Python文件。您注意到执行速度的差异了吗?
您可以通过执行以下代码轻松检查是否已启用GPU-
import tensorflow as tf
tf.test.gpu_device_name()
如果启用了GPU,它将给出以下输出-
'/device:GPU:0'
如果您想知道在云中执行笔记本期间使用的设备,请尝试以下代码-
from tensorflow.python.client import device_lib
device_lib.list_local_devices()
您将看到如下输出:
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality { }
incarnation: 1734904979049303143, name: "/device:XLA_CPU:0"
device_type: "XLA_CPU" memory_limit: 17179869184
locality { }
incarnation: 16069148927281628039
physical_device_desc: "device: XLA_CPU device", name: "/device:XLA_GPU:0"
device_type: "XLA_GPU"
memory_limit: 17179869184
locality { }
incarnation: 16623465188569787091
physical_device_desc: "device: XLA_GPU device", name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 14062547764
locality {
bus_id: 1
links { }
}
incarnation: 6674128802944374158
physical_device_desc: "device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5"]
要查看可用于您的进程的内存资源,请输入以下命令-
!cat /proc/meminfo
您将看到以下输出-
MemTotal: 13335276 kB
MemFree: 7322964 kB
MemAvailable: 10519168 kB
Buffers: 95732 kB
Cached: 2787632 kB
SwapCached: 0 kB
Active: 2433984 kB
Inactive: 3060124 kB
Active(anon): 2101704 kB
Inactive(anon): 22880 kB
Active(file): 332280 kB
Inactive(file): 3037244 kB
Unevictable: 0 kB
Mlocked: 0 kB
SwapTotal: 0 kB
SwapFree: 0 kB
Dirty: 412 kB
Writeback: 0 kB
AnonPages: 2610780 kB
Mapped: 838200 kB
Shmem: 23436 kB
Slab: 183240 kB
SReclaimable: 135324 kB
SUnreclaim: 47916
kBKernelStack: 4992 kB
PageTables: 13600 kB
NFS_Unstable: 0 kB
Bounce: 0 kB
WritebackTmp: 0 kB
CommitLimit: 6667636 kB
Committed_AS: 4801380 kB
VmallocTotal: 34359738367 kB
VmallocUsed: 0 kB
VmallocChunk: 0 kB
AnonHugePages: 0 kB
ShmemHugePages: 0 kB
ShmemPmdMapped: 0 kB
HugePages_Total: 0
HugePages_Free: 0
HugePages_Rsvd: 0
HugePages_Surp: 0
Hugepagesize: 2048 kB
DirectMap4k: 303092 kB
DirectMap2M: 5988352 kB
DirectMap1G: 9437184 kB
现在,您已经准备好使用Google Colab在Python开发机器学习模型。