I can start elm-make elm-reactor and so on from any place because I included the path to Elm_Platform binaries into my $PATH env variable
But I still have to copy all libs (elm-stuff folder) for any project, anytime when I started it in some new place
i read installation stuff from elm-lang.org, but did not find the anwser
do u know how it can be resolved?
tnx
elm-stuff is created or updated whenever you compile, no need to copy it around.
Related
Im trying to install a JSON formatter for Cucumber but am having trouble configuring it. The steps (listed here) go like this:
1. Download cucumber-json-formatter-darwin-amd64 and rename it to cucumber-json-formatter
2. Move it to a directory that's on your PATH
3. Make it executable with chmod +x cucumber-json-formatter
4. Verify that you can run it: cucumber-json-formatter --help
I have the file downloaded and renamed correctly. However, I am stuck on the second step of moving it to a directory thats on my PATH.
Doing some research, I know what the folder structure looks like but I'm not sure exactly what the step is instructing. How would I achieve this step? Can it be in ANY directory on my PATH? I am currently using a Mac if that makes any difference for the solution.
Move it to a directory that's on your PATH
PATH refers to the machine's environment variable named PATH. Any time the OS is asked to execute something PATH is searched.
On Windows open System Properties dialog, click Environment Variables button and Path is listed there. You can add a new entry for the location of cucumber-json-formatter or you can move it to an existing Path entry.
I am working on a object detection project and wanting to process the project with my GPU. I have completed the NVIDIA setup tutorial and everything works fine. My object detection code originally works with the CPU, however when I add these two lines of code:
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)
the output displayed:
Could not locate zlibwapi.dll. Please make sure it is in your library path!
I have downloaded the zlibwapi.dll zip file stated from the cuDNN website, unzip and added the whole folder into my environment variables paths. The folder is called "zlib123dllx64" containing a "dll_x64" folder and a "static_x64" folder. The "zlibwapi.dll" is inside the "dll_x64" folder. I have added the "zlib123dllx64" folder in the user and system path variable but it doesn't seem to fix any of the problems. How can I fix this error and make the GPU work with the code?
My environment setup:
Windows 10
Visual studio community 2019
OpenCV Python yolov3
Windows Environment:
I faced this issue of "Could not locate zlibwapi.dll. Please make sure it is in your library path" when I am trying to run a TensorRT sample, int8_caffe_mnist. To confirm proper installation of TensorRT.
Following the instructions from: https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#prerequisites-windows
Under 3.1.3 download zlib and add the path to the environment variables.
I did the following:
Windows search for Edit the system environment variables
Add library path, Environment Variables -> Path -> Edit -> C:path to\zlibwapi.dll
Conclusion:
Following the instructions for adding zlibwapi.dll to the path did not work for me.
Solution that worked for me:
Removed the library path under Environment variables
copied zlibwapi.dll to C:\Windows\System32 and C:\Windows\SysWOW64
Either delete/keep zlib123dllx64 file, I choose to delete as it does not need the location to library path
I was able to find a copy of the missing zlib DLL in the NVIDIA Nsight directory:
C:\Program Files\NVIDIA Corporation\Nsight Systems 2022.4.2\host-windows-x64\zlib.dll
I copied and renamed it to:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin\zlibwapi.dll
since that was already in my PATH environment variable. Doing that resolved my error.
I saw the link in the CUDNN documentation that was linked in the other answers, but I was a little concerned by the security warnings.
Stumbled across this problem too and there is an easy fix that immediately worked for me:
Check out Nvidia's page (exact link where to download) and download.
Extract the files and simply find the single file "zlibwapi.dll". Copy this file to
C:/path to/NVIDIA GPU Computing Toolkit / CUDA/ v11.X / bin -> right here in that folder
Just did those two steps and it's TF can properly use GPU.
Download and extract the zlib package from http://www.winimage.com/zLibDll/zlib123dllx64.zip for 64 bit windows then copy the zlibdll file into cudnn/bin
If anyone also got the same problem as me, I managed to fix the problem. Instead of calling the whole "zlib123dllx64" folder into the system environment path, you simply just add the "zlibwapi.dll" inside the "dllx64" folder into your project folder and include it in your project. This fixed my problem. cheers
Didn't find zlibwapi.dll in bin but solved it anyhow.
Since I didn't have it in
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\
I couldn't change environment variable but I found it elsewhere.
mhartlove suggested here:
https://forums.developer.nvidia.com/t/could-not-load-library-cudnn-cnn-infer64-8-dll-error-code-193/218437/17
Solution:
"I found a copy of the 64 bit zlibwapi.dll hiding under a different name in:
C:\Program Files\NVIDIA Corporation\Nsight Systems 2022.4.2\host-windows-x64\zlib.dll
I copied and renamed it to:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin\zlibwapi.dll
since that folder is already in my PATH variable; and it worked. Turns out the CUDA Toolkit already has the file you need elsewhere. Seems like they could save a lot of trouble if they just made a change to the CUDA Toolkit installer.
"
I downloaded the dll file from https://www.dllme.com/getfile.php?file=38308&id=9b45296e316cdf31b9bace739e22ca7a
Extracted it
see here
renamed
zlibwapi_x64.dll -> zlibwapi.dll
and pasted it in the bin of my CUDA
Look at the last file
This worked for me....
I'm using jekyll to build a simple static website. My _config file is basically the default. I have an issue with including images in my website.
I have an images directory inside my _site/assets directory (which I simply copy pasted into). Upon running the website with bundle (locally), the images folder gets deleted from the directory. If I copy it back there then the images are properly shown on the site, but upon refresh they are deleted again.
As I understand it, I need to build the folder using bundle so it doesn't delete it, but the exact way this is done is unclear to me. Can someone please explain what is happening and how I could fix it?
I have an images directory inside my _site/assets directory (which I simply copy pasted into). Upon running the website with bundle (locally), the images folder gets deleted from the directory.
The _site folder is deleted and rebuilt after every change or jekyll build execution. You should put your files in the /images/ directory in the main project folder.
As I understand it, I need to build the folder using bundle so it doesn't delete it, but the exact way this is done is unclear to me. Can someone please explain what is happening and how I could fix it?
In Terminal, navigate to the root directory of the specific jekyll folder (e.g. /theme-name/) and use the command jekyll buildto rebuild the _site folder reflecting any changes you've made.
_site folder gets regenerated in each build, it is where jekyll outputs the final site.
You should place the images folder at the root directory, so it will be copied by Jekyll to _site/images.
I am having a issue creating a yeoman project. I cd in the directory type yo and it says:
Here is it suppose to asked me project name etc and it wants to throw everything on my desktop not the file I cd into. It defaults to mvn and I want gradle. I even npm uninstall -g generator-jhipster
and reinstalled it and got the same issue.
If you have a .yo-rc.json file in a parent directory, Yeoman will load that configuration and generate from that file instead of prompting. This allows developers to run a yo command from any folder in the project and have it apply to the correct files.
To solve this, remove the .yo-rc.json from the parent directory, in your case /Users/drew/Desktop.
For example, if you are in the directory /Users/drew/Desktop/new-project but /Users/drew/Desktop has a .yo-rc.json inside, Yeoman will change to the parent directory (Desktop), load the configuration, and generate the files from that folder instead of the child folder.
Based on your log it's looks like you are running yo in a folder where a .yo-rc.json is already existing. Careful under windows the .yo-rc.json can be that is of type hidden and you can't see it in explorer. Because of an existing .yo-rc.json you are not asked anymore for info e.g. project name, build tool etc. My recommendation will be to create a new folder run inside yo command
I have a script which converts wav files to caf files, and I'd like to get them copied to my iOS app automatically. The script looks like this:
Xcode doesn't copy it automatically, and i can't find a way to add it to my Copy Build Phase section. It appears that I need to add a line in the script to copy it directly to the app bundle, or to make the destination the app bundle itself.
What would that script/change be? I'm not sure what shell vars to use for the cp command.
Thanks - Henry
The environment variable you're looking for is "BUILT_PRODUCTS_DIR" and you can find the definition of this, and plenty of other useful Xcode-specific environment variables on this handy Apple documentation page.
And what you'd probably want to do is test for the existence of successfully converted files, and if they exist, then copy those files into the "${BUILT_PRODUCTS_DIR}/${WRAPPER_NAME}" directory.