6. Checking hardware
There are versions of the TensorFlow wheel files compiled for Intel and AMD processors to provide the best performance on those hosts. So, you need to confirm which processor is used in the Graphcloud server before you can install the wheel file. You can use the
lscpu command and get an output similar to Listing 6.1 for an AMD processor and Listing 6.2 for an Intel processor.
Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 240 On-line CPU(s) list: 0-239 Thread(s) per core: 1 Core(s) per socket: 120 Socket(s): 2 NUMA node(s): 2 Vendor ID: AuthenticAMD CPU family: 23 Model: 49 Model name: AMD EPYC 7742 64-Core Processor Stepping: 0 CPU MHz: 2245.780 BogoMIPS: 4491.56 Hypervisor vendor: KVM Virtualization type: full L1d cache: 64K L1i cache: 64K L2 cache: 512K L3 cache: 16384K NUMA node0 CPU(s): 0-119 NUMA node1 CPU(s): 120-239
Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 96 On-line CPU(s) list: 0-95 Thread(s) per core: 2 Core(s) per socket: 24 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 85 Model name: Intel(R) Xeon(R) Platinum 8168 CPU @ 2.70GHz Stepping: 4 CPU MHz: 1200.032 BogoMIPS: 5400.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 1024K L3 cache: 33792K NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,68,70,72,74,76,78,80,82,84,86,88,90,92,94 NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63,65,67,69,71,73,75,77,79,81,83,85,87,89,91,93,95