TensorFlow 1.12.0 GPU (CUDA 10.0, cuDNN 7.3, TensorRT 5; MKL) Python 3.6.*, Buntu 18.04

[evdcush]

TF	Py	CUDA	cuDNN	TensorRT	AdditionalOpts	Opt Flags
1.12	3.6.7	10.0	7.3	5.0	:heavy_check_mark: XLA JIT :heavy_check_mark: MKL	SSE4.1, 4.2 AVX, AVX2 * FMA

Release link: https://github.com/evdcush/TensorFlow-wheels/releases/tag/tf-1.12.0-gpu-10.0

Wheel link: https://github.com/evdcush/TensorFlow-wheels/releases/download/tf-1.12.0-gpu-10.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl

Install via: pip install --no-cache-dir https://github.com/evdcush/TensorFlow-wheels/releases/download/tf-1.12.0-gpu-10.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl

---

Requires:

• All versions and libraries featured in columns
  • CUDA 10, cuDNN 7.3, TRT 5, Buntu 18.04 OR x64 linux with glibc 2.27 (UNTESTED)
• Nvidia GPU (this wheel optimized for CUDA compute capability 6.1)
• Broadwell or later Intel CPU, (this wheel optimized for -march=skylake)

Build Info:

• Compiled on: 4.15.0-38, Xubuntu 18.04, GCC-7 with -march=skylake, python 3.6.7
• Extras: XLA JIT (now supported by default in 1.12), nGraph, mkl, nccl 2.3

UPDATED: binary

The original release binary had issues with ngraph (core dumps :boom:), so I rebuilt the wheel without ngraph.

Reading up on ngraph support, it's a bit surprising it's even allowed as a bazel config opt; it requires some very specific dependencies and only supports certain builds of TF. Future releases will not include ngraph.

I only have my machine to test GPU builds on, so if you are having issues with the wheel despite matching/valid specs, please @ me here in a comment.

[1453042287]

thanks a lot for your kindness！

[ainfinum]

Hi! I've tried to install different wheels (1.11, 1.12, 1.13) but I always have the same issue:

import tensorflow as tf Illegal instruction (core dumped)

I have an old processor but new RTX 2070 so I need cuda 10 vendor_id : GenuineIntel cpu family : 6 model : 30 model name : Intel(R) Core(TM) i5 CPU 750 @ 2.67GHz flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm sse4_1 sse4_2 popcnt lahf_lm pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid dtherm ida flush_l1d bugs : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds

Do you have an idea how to fix it?

Thank you

[venkateshmysore]

I'd love to see this wheel with cuda compute 3.7