Setup Mutt 1.8 For Local Mac Os X Email
Can you show the commands you're using/used to install ruby-2.3.3 and rails? Just a hunch, but I wouldn't recommend installing rails through rvm. This hack does not integrate the OS X address book with pine. Lbdb can READ the pine address book, but it cannot integrate with pine's address book. This is because pine has no way to query out to a program to get its address book info; it must be read from a file.
I wrote a little tutorial on. I think it's customary to copy relevant parts to SO, so here it goes: • If you haven’t used a TensorFlow-GPU set-up before, I suggest first setting everything up with TensorFlow 1.0 or 1.1, where you can still do pip install tensorflow-gpu. Once you get that working, the CUDA set-up would also work if you’re compiling TensorFlow. If you have an external GPU, YellowPillow's answer (or ) might help you get things set up. • Follow the official tutorial “”, but obviously substitute git checkout r1.0 with git checkout r1.2. When doing./configure, pay attention to the Python library path: it sometimes suggests an incorrect one.
PS 2 Emulator for Mac OS X. PCSX2 is a free and open-source PlayStation 2 emulator for Windows, Linux and macOS that supports a wide range of PlayStation 2 video games with a high level of compatibility and functionality. Ps2 emulator for mac 2015. CoolROM.com's Mac emulator information and download page for PCSX2 (Sony Playstation 2). View this page in. English French German Indonesian Italian Japanese Portuguese Spanish Thai. How to get PCSX2 ( PS2 ) emulator running on Mac OSX. I can only confirm that it does work on 10.8+. It may work on older versions but i have no way of. Overview Windows - Plugins Linux Mac - Plugins Source Tools - Frontends - Cheating - Misc - Game Editors Archive - Plugins - - GSdx10 - - GSdx9 - - GSdx unified - PCSX2 v1.2.1 - PCSX2 v1.0.0 - PCSX2 v0.9.8 - PCSX2 v0.9.7 The PCSX2 team's statement regarding the 'DamonPS2' emulator.
I chose the default options in most cases, except for: Python library path, CUDA support and compute capacity. Don’t use Clang as the CUDA compiler: this will lead you to an error “Inconsistent crosstool configuration; no toolchain corresponding to 'local_darwin' found for cpu 'darwin'.”. Using /usr/bin/gcc as your compiler will actually use Clang that comes with macOS / XCode. Below is my full configuration.
• TensorFlow 1.2 expects a C library called OpenMP, which is not available in the current Apple Clang. It should speed up multithreaded TensorFlow on multi-CPU machines, but it will also compile without it. We could try to build TensorFlow with gcc 4 (which I didn’t manage), or simply remove the line that includes OpenMP from the build file. In my case I commented out line 98 of tensorflow/third_party/gpus/cuda/BUILD.tpl, which contained linkopts = [“-lgomp”] (but the location of the line might obviously change). Where is word count in word for mac. Some people, but I assume that was with earlier versions; thanks to udnaan for pointing out that it’s OK to comment out these lines.
• I had some problems building with the latest bazel 0.5.3, so I reverted to using 0.4.5 that I already had installed. But some discussion in a github issue mentioned bazel 0.5.2 also didn’t have the problem. • Now build with bazel and finish the installation as instructed by the official install guide. On my 3.2 GHz iMac this took about 37 minutes. Using python library path: /Users/m/code/3rd/conda/envs/p3gpu/lib/python3.6/site-packages Do you wish to build TensorFlow with MKL support? [y/N] N No MKL support will be enabled for TensorFlow Please specify optimization flags to use during compilation when bazel option '--config=opt' is specified [Default is -march=native]: Do you wish to build TensorFlow with Google Cloud Platform support?