RNet | PyTorch RNet implementation with Distributed | Speech library
kandi X-RAY | RNet Summary
kandi X-RAY | RNet Summary
PyTorch RNet implementation with Distributed and Mixed-Precision training support.
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Top functions reviewed by kandi - BETA
- Evaluate the given iterator .
- Train the model .
- Iterate through a squad entry .
- Convert to torch . TextDataset .
- Setup the SQuAD dataset .
- Setup torch . device .
- Compute the accuracy of the prediction .
- Normalize prediction .
- Forward a tensor .
- Initialize weights .
RNet Key Features
RNet Examples and Code Snippets
Community Discussions
Trending Discussions on RNet
QUESTION
I'm building a static library for a small project, and when I compile it with ar
, it correctly links.
When I go to include the relevant header file and link the test script to the archive;
...ANSWER
Answered 2022-Feb-25 at 21:28After reading this SO question, I realized that I had missed an overridden virtual member.
QUESTION
I'm using the Raspberry Pi 4 and trying to have an Internet access using the A9G GSM/GPRS+GPS Module.
At first I have install
ppp
withsudo apt-get install ppp screen elinks
I have create a file with name
rnet
in path/etc/ppp/peers/rnet
:
ANSWER
Answered 2021-Nov-30 at 10:14The problem was that my A9G Module, was not getting enough power. Therefore, check if your A9G Module is turned on, before starting the process and make sure that you have disabled login shell to be accessible over serial, and also you have enabled the serial interface.
QUESTION
Here is sample dataset -
...ANSWER
Answered 2021-Mar-28 at 23:48Just add the rows with treatment == 0, these should be your control group, and it seems fair to assume the original data order is maintained (althoug a reported index on this in the output would have been nice!)
Just change controls definition to this:
QUESTION
I am getting a runtime error that says inputs and weights must be on same. However I made sure that my model and input are on the same device yet I cannot get rid of the error. As far as I read, I know that my input data is not on GPU . Since, In this case image is an input so I tried img = torch.from_numpy(img).to(device)
and pred = model(img)[0].to(device
but no luck. Please let me know what can be done.
Here's the code:
...ANSWER
Answered 2021-Jan-09 at 13:09You need to send the input tensor to your device, not its result:
QUESTION
I'm following the torch_script_custom_classes in order to expose my C++ dll in Python. The bulk of the code that I have at the moment is as follows:
...ANSWER
Answered 2020-Sep-19 at 09:30The error is kind of misleading! all that was needed was to convert all return types from int
to int64_t
and that was it. All compiles just fine now!
QUESTION
I'm trying to build a Python extension using Pybind11, and I believe I set up all libs, linker related objects correctly. However I get this weird linker error! This is my example input
...ANSWER
Answered 2020-Sep-14 at 13:33OK, I made a silly mistake! it seems when defining the PYBIND11_MODULE
, the first name, and the name used in setup()
need to be the same as the source file, i.e. PythonManager_Pybind11.cpp
in my case. This why the linker was complaining about the actual object which was the main source file.
Making these changes, now everything builds just fine.
This is how it looks after these minor changes:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install RNet
You can use RNet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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