cupti | CUDA applications create and modify data | GPU library

by cwpearson C++ Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | cupti Summary

cupti is a C++ library typically used in Hardware, GPU applications. cupti has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Profile how CUDA applications create and modify data in memory.

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Quality

Security

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Support

cupti has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 34 have been closed. On average issues are closed in 19 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cupti is current.

Quality

cupti has 0 bugs and 0 code smells.

Security

cupti has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cupti code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cupti does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

cupti releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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cupti Key Features

No Key Features are available at this moment for cupti.

cupti Examples and Code Snippets

Start the daemon .

python

Lines of Code : 10

License : Non-SPDX (Apache License 2.0)

Copy

def warmup():
  """Warm-up the profiler session.

  The profiler session will set up profiling context, including loading CUPTI
  library for GPU profiling. This is used for improving the accuracy of
  the profiling results.

  """
  start('')
  stop

Community Discussions

Trending Discussions on cupti

Tensorboard Profiler: Failed to load libcupti (is it installed and accessible?)

Tensorflow GPU CUDA Could not load dynamic library 'libcufft.so.10'; dlerror

Build VTK with Python Bindings and CUDA, TBB, & MPI on Windows

New Tensorflow 2.4 GPU issues

Unable to use GPU from Docker. Building custom docker container image on top of tensorflow GPU docker image

tensorflow 2.2 gpu support Windows

Stop Tensorflow from printing to the console

Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory;

Tensorflow 2.3.0 CUDA Toolkit version 10.1 does not use GPU

Python regular expression to parse text file

QUESTION

Tensorboard Profiler: Failed to load libcupti (is it installed and accessible?)

Asked 2022-Mar-21 at 18:36

I'm trying to analyze my tensorflow application. The training runs well, but I get Failed to load libcupti (is it installed and accessible?) if I open the Profile-Tab in Tensorboard.

My configuration is:

Windows 10
Python 3.9.7
Tensorflow 2.6.0
CUDA Toolkit 11.2
cuDNN 8.1.1 (installed as here by copying files as described)
Visual Studio Professional 2019

CUDA_PATH is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2

My Path-Variable contains:

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\libnvvp
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\CUPTI\lib64
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include
C:\Program Files\NVIDIA Corporation\Nsight Systems 2020.4.3\target-windows-x64

conda list (only relevant packages):

...

ANSWER

Answered 2022-Mar-21 at 18:36

Hidden in the log output of jupyter I found an this error message: Could not load dynamic library 'cupti64_113.dll': dlerror: cupti64_113.dll not found

With this error message and that hint I was able to solve the problem: I copied cupti64_2020.3.0.dll in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\CUPTI\lib64 and renamed it to cupti64_113.dll and now the profiler works.

Source https://stackoverflow.com/questions/71023977

QUESTION

Tensorflow GPU CUDA Could not load dynamic library 'libcufft.so.10'; dlerror

Asked 2021-Sep-23 at 14:39

I fear this to be marked as duplicate but I find examples with libcudart or libcublas but not libcufft (which is my issue).

I installed TensorFlow and I want to use the GPU. I, therefore, run the script on this link.

When running TensorFlow to train a network I get the following message:

...

ANSWER

Answered 2021-Sep-23 at 14:39

So I did as suggested in the comments and uninstall everything in a very aggressive manner:

Source https://stackoverflow.com/questions/69300826

QUESTION

Build VTK with Python Bindings and CUDA, TBB, & MPI on Windows

Asked 2021-Aug-27 at 23:20

Problem

I cannot load VTK into python on Windows with support for CUDA, MPI, and TBB. Volume rendering is unreasonably slow for production with the default PyPI distribution (hours or more) and I need to leverage my hardware to speed up computations.

I have successfully built VTK 9.3.0 for Python 3.8.10-x64 with CMake and Visual Studio and have bin, lib, include, and share folders and have added these to PATH, but Python does not see vtk:

...

ANSWER

Answered 2021-Aug-26 at 23:20

Update: 26-AUG-2021 (Continued...)

NOTE: This is NOT an answer.

Pretty much doing the exact same thing, but in vtk.py instead, plus including all other system dependencies, using os.add_dll_directory() does not work:

Source https://stackoverflow.com/questions/68929181

QUESTION

New Tensorflow 2.4 GPU issues

Asked 2021-Mar-16 at 18:01

Question

Tensorflow 2.4.1 doesn't recognize my GPU, even though I followed the official instructions from Tensorflow as well as the ones from NVIDIA for CUDA and NVIDIA for cuDNN to install it in my computer. I also installed it in conda (which I'm not sure if it is needed?).

When I try the official way to check if TF is using GPUs, I get 0:

...

ANSWER

Answered 2021-Mar-16 at 18:01

After quite a bit of extensive research, it finally works on my computer: the latest versions of the components (i.e. CUDA 11.2, cuDNN 8.1.0) are not tested and not ensure a working result in TF 2.4.1. Therefore, this is my final configuration:

nvidia-drivers-460.39 have CUDA 11.2 drivers. However, you can still install CUDA 11.0 runtime and get it from the official NVIDIA archive for CUDA. Following the installing instructions is still mandatory (i.e. adding the path variables and so on).
cuDNN library needs to be on the version 8.0.4. You can get it also from the official NVIDIA archive for cuDNN

After installing both components on these specific versions, I successfully get:

Source https://stackoverflow.com/questions/66623226

QUESTION

Unable to use GPU from Docker. Building custom docker container image on top of tensorflow GPU docker image

Asked 2021-Feb-11 at 03:14

I am trying to build a custom docker image to server our image classification model.

Using Ubuntu 18.04 on Google cloud. GPU model Nvidia-t4. On the same machine, using Tensorflow - GPU 1.9.0 and its working as expected. When I build the docker file with the command:

...

ANSWER

Answered 2021-Feb-11 at 03:14

Nothing to worry about. Just burn the system.

Source https://stackoverflow.com/questions/65586653

QUESTION

tensorflow 2.2 gpu support Windows

Asked 2020-Oct-22 at 05:56

I have the following output for

...

ANSWER

Answered 2020-Oct-22 at 05:56

I believe you need cuda v10.1 not 11.1. What I found easiest to do is uninstall tensorflow if you installed it with pip. If you are using Anaconda then us conda to install tensorflow. It will install version 2.1.1, the cuda toolkit version 10.1.243 and cudnn version 7.6.5. Note conda can only install tensorflow up to version 2.1.1. If you want tensorflow 2.2 install it with pip using pip install tensorflow ==2.2.0. after you have installed 2.1. The cuda toolkit and cudnn work with version 2.2. Otherwise you have to go through the process you used to install cuda 11.1 but this time use the 10.1 download files. One other thing. Use python3.7 not 3.8. Apparently when you install tensorflow with conda it will not work with 3.8.

Source https://stackoverflow.com/questions/64472271

QUESTION

Stop Tensorflow from printing to the console

Asked 2020-Oct-20 at 15:31

I've been using tensorflow without issue, until I added the following lines of code:

...

ANSWER

Answered 2020-Oct-20 at 04:19

You can disable debugging logs with os.environ.

Source https://stackoverflow.com/questions/64434655

QUESTION

Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory;

Asked 2020-Oct-04 at 10:58

When I try to run a python script , which uses tensorflow, it shows following error ...

...

ANSWER

Answered 2020-Oct-04 at 10:48

This usually happens when you run tensorflow with a non compatible version of CUDA. Looks like this has been asked before (could not comment). Refer this question.

Source https://stackoverflow.com/questions/64193633

QUESTION

Tensorflow 2.3.0 CUDA Toolkit version 10.1 does not use GPU

Asked 2020-Aug-05 at 19:19

I had tensorflow 2.0 workig with my RTX2070 gpu. I did a windows update so I could use tf-nightly. Did not like it so uninstalled it and reinstalled tensorflow 2.3.0. Ran previous python code that ran fine with GPU previously but it did not use the GPU. Tried lots of stuff. Finally just started over. Reinstalled Anaconda, created new environment. Uninstalled Cuda toolkit 10.1 and reinstalled it. Installed cuDnn SDK 7.6 in directory c:\Tools. Checked path env variable to include

...

ANSWER

Answered 2020-Aug-05 at 19:19

I found I can get tensorflow to recognize the GPU if in my working environment using conda I run conda install cudnn==7.6.4 which works with CUDA 10.1.0 resultant messages in anaconda prompt are:

Source https://stackoverflow.com/questions/63240027

QUESTION

Python regular expression to parse text file

Asked 2020-Jul-02 at 16:41

My goal is to lift a few values from a text file and generate a plot using matplotlib...

I have several large (~100MB) text log files generated from a python script that is calling tensorflow. I save the terminal output from running the script like this:

...

ANSWER

Answered 2020-Jul-02 at 16:41

You can achieve this using a combination of the correct regex, list comprehension, groupdict, and finditer

First things first - we need a baseline and standardized text format. This is important - if you think your text content does not match this, perhaps try replacing all \x08 bytes (and all other unnecessary bytes for that matter) with blank space. (\x08 just means backspace)

Source https://stackoverflow.com/questions/62686261

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cupti

Install CUDA and CUDNN. Modify env.sh to point to the right libraries. Build the profiling library (prof.so).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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