Libraries
mpmath is a Python library for real and complex floating-point arithmetic.
Discovered the NIST Digital Library of Mathematical Functions, the online successor of the Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables by Abramowitz and Stegun.
Use sudo -i to create an interactive root shell on CentOS. Instead of $, you will see #, indicating that you have root access. Very useful when you have to run a sequence of various commands which require root access. You won’t have to type sudo before each command.
Ran the shell script to download the binary files and convert them to HDF5. First the download failed because the wget utility wasn’t installed. I got wget for El Capitan from rudix.org, then ran the script again, download successful. Then ran convert.jl and this worked too. Two HDF5 files have been created, named train and text. I can open either using h5dump:
Got the shell script from here: https://github.com/pluskid/Mocha.jl/blob/master/examples/cifar10/get-cifar10.sh
It will download the binary files from the CIFAR-10 dataset and convert them to HDF5 format which is readable by Mocha ( this script calls convert.jl to do the conversion).
Resolved the HDF5 error by pushing the path line to Julia config file (as suggested in the HDF5 installation docs).
push!(Libdl.DL_LOAD_PATH, “/opt/local/lib”)
Pkg.build(“HDF5”)
So the problem before was that HDF5 was installed but Julia wasn’t seeing it.
To recap, got this error on running the Julia convert script:
UndefVarError: h5open not defined
in macro expansion; at ./REPL[9]:2 [inlined]
So the HDF5 module is not correctly installed, although I’d assumed it was when I ran convert.jl.
The top line of output from the compiler confirms that:
ERROR: LoadError: LoadError: HDF5 not properly installed. Please run Pkg.build(“HDF5”)
So reinstalled HDF5 as recommended:
julia> Pkg.build(“HDF5”)
Getting build errors…. and the compiler suggests:
— build the package(s) and all dependencies with `Pkg.build(“HDF5”)`
– build a single package by running its `deps/build.jl` script
But I’ve already tried the package manager build twice without success, so next I’ll try cloning the HDF5 code from Github.
The binary files of the CIFAR-10 dataset need to be converted to HDF5 as that is the format recognised by Mocha. To do this, I will use the Julia script convert.jl provided by pluskid. First, in Julia used the package manager to install HDF5: Pkg.add(“HDF5”). Then ran the conversion script. I get the following error:
UndefVarError: h5open not defined
in macro expansion; at ./REPL[9]:2 [inlined]
in anonymous at ./<missing>:?
Downloaded the Docker image from BVLC’s repository. First time I tried, the pull failed with a Docker i/o error: “failed to register layer” Then reset Docker to factory defaults. Then the pull worked: dowboaded newer image for bvlc/caffee: cpu.
Setting up Julia locally first, before trying the cloud environment. Running OS X, El Capitan. Python and iPython weee already installed. So I first installed Julia, then installed IJulia.jl from the Julia REPL (Read Eval Print Loop). IJulia is an interface between Julia and Jupyter notebooks. Then installed Images.jl, also from the Julia REPL. Then Gadfly, a visualization tool written in Julia. Will continue tomorrow night.