CAN-Examples | Example C code for CAN Sockets on Linux | Socket library
kandi X-RAY | CAN-Examples Summary
kandi X-RAY | CAN-Examples Summary
Example C code for CAN Sockets on Linux
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QUESTION
I play with this great Gorilla REPL powered project ( https://bitbucket.org/probprog/anglican-examples/ to be specific), and want to use it under certain restricted circumstances.
Is there a way to produce an uberjar that can be started using only a JVM?
Well, I know how to create an uberjar for this project, but can I start a Gorilla REPL from it? If not what do I have to add and how do I start it?
EDITED Note on Juraj's answer:
I added a start file src/gorillaproxy/gorillaproxy.clj with the following content:
...ANSWER
Answered 2018-Sep-20 at 09:31Gorilla is typically run via the lein-gorilla
plugin and thus isn't a part of an uberjar.
If you really want to create a bundle containing gorilla repl dependencies, then you need to add it this capability manually to your project.
The question is why would you want to do that. Do you want to distribute these samples to somebody else? If that's the case, you'll still need to have all those worksheets in the current directory from where your uberjar is run because that's how gorilla repl discovers worksheets.
You can look at lein-gorilla source code to see how gorilla repl can be started.
I'd then at the same code to your project (create new src/core.clj
file or whatever) and configure it in your project.clj
as :main
.
You'll also need to add gorilla-repl
as a dependency to your project.clj
Notice however, that you'll need to run that uberjar from a directory where your anglican worksheets are (or a parent directory of such a directory).
QUESTION
I am following this tutorial on how to use tf.scan
and I wrote a minimal working example (see code below). But each time the function Model._step()
is called, isn't it creating another copy of the computational graph? If not, why not?
ANSWER
Answered 2017-Oct-13 at 18:09The Model._step()
method will only be called once per Model
object constructed. The tf.scan()
function, like the tf.while_loop()
function it wraps, will call their given function(s) only once to build a graph with a loop in it, and then the same graph will be used for each iteration of the loop.
(Note that if you construct many Model
objects you will end up with the same number of copies of the graph as you have Model
objects.)
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