cudart | My custom CUDA samples | GPU library

by HongjianLi C Version: Current License: Apache-2.0

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

kandi X-RAY | cudart Summary

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

All samples make use of the runtime API.

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Support

cudart has a low active ecosystem.

It has 7 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cudart has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cudart is current.

Quality

cudart has no bugs reported.

Security

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

License

cudart is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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cudart Key Features

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cudart Examples and Code Snippets

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Community Discussions

Trending Discussions on cudart

Dynamic Library error while using Tensorflow with GPU

How can I fix cudart64_110.dll error which caused from Tensorflow in Pycharm?

Nvidia CUDA Error: no kernel image is available for execution on the device

AttributeError: 'spacy.tokens.span.Span' object has no attribute 'string'

Setup Tensorflow 2.4 on Ubuntu 20.04 with GPU without sudo

Segfault with for fresh ubuntu 20.04 install using conda

Tensorflow 2 Object Detection API: Numpy Version Errors

3D quiver plot video using 3D arrays

Permission denied when calling library function

CMakeLists linkage error 'magma_opts::parse_opts' using MAGMA testing code

QUESTION

Dynamic Library error while using Tensorflow with GPU

Asked 2021-Jun-15 at 10:13

I am programming in Python 3.8 with Tensorflow installed along with my natural language processing project. When I want to begin the training phase, I get this message right before I begin...

...

ANSWER

Answered 2021-Mar-10 at 14:44

I would suggest you to use conda (Ananconda/Miniconda) to create a separate environment and install tensorflow-gpu, cudnn and cudatoolkit. Miniconda has a much smaller footprint than Anaconda. I would suggest you to install Miniconda if you do not have conda already.

Quick Installtion

Source https://stackoverflow.com/questions/66553987

QUESTION

How can I fix cudart64_110.dll error which caused from Tensorflow in Pycharm?

Asked 2021-Jun-09 at 19:40

I have a problem about fixing cudart64_110.dll error which caused by Tensorflow in Pycharm.

In order to fix it, I downloaded its file from this link which is shown below.

...

ANSWER

Answered 2021-Jun-09 at 19:40

cudart64_110.dll

You need the CUDA installation for 11.0 (“...110.dll”). You have 10.1 right now, which was what was necessary for the person who asked for “...101.dll” in this question I’m guessing you read, but is not useful for you.

Source https://stackoverflow.com/questions/67910411

QUESTION

Nvidia CUDA Error: no kernel image is available for execution on the device

Asked 2021-Jun-04 at 04:13

I have an NVidia GeForce GTX 770 and would like to use its CUDA capabilities for a project I am working on. My machine is running windows 10 64bit.

I have followed the provided CUDA Toolkit installation guide: https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/.

Once the drivers were installed I opened the samples solution (using Visual Studio 2019) and built the deviceQuery and bandwidthTest samples. Here is the output:

deviceQuery:

...

ANSWER

Answered 2021-Jun-04 at 04:13

Your GTX770 GPU is a "Kepler" architecture compute capability 3.0 device. These devices were deprecated during the CUDA 10 release cycle and support for them dropped from CUDA 11.0 onwards

The CUDA 10.2 release is the last toolkit with support for compute 3.0 devices. You will not be able to make CUDA 11.0 or newer work with your GPU. The query and bandwidth tests use APIs which don't attempt to run code on your GPU, that is why they work where any other example will not work.

Source https://stackoverflow.com/questions/67825986

QUESTION

AttributeError: 'spacy.tokens.span.Span' object has no attribute 'string'

Asked 2021-May-22 at 06:19

import re
import spacy
from nltk.corpus import stopwords
import pdfplumber

def extract_All_data(path):
    text = ""
    try:
        with pdfplumber.open(path) as pdf:
            for i in pdf.pages:
                text += i.extract_text()
            return text
    except:
        return None

resume_text = extract_All_data(r"E:\AllResumesPdfs\37202883_Mumbai_6.pdf")
#resume_text =text.lower()

# load pre-trained model
nlp = spacy.load('en_core_web_lg')

# Grad all general stop words
STOPWORDS = set(stopwords.words('english'))

# Education Degrees
EDUCATION = [
            'BE','B.E.', 'B.E', 'BS', 'B.S',
            'ME', 'M.E', 'M.E.', 'MS', 'M.S', 'M.C.A.',
            'BTECH', 'B.TECH', 'M.TECH', 'MTECH',
            'SSC', 'HSC', 'CBSE', 'ICSE', 'X', 'XII'
        ]

def extract_education(resume_text):
    nlp_text = nlp(resume_text)

    # Sentence Tokenizer
    nlp_text = [sent.string.strip() for sent in nlp_text.sents]

    edu = {}
    # Extract education degree
    for index, text in enumerate(nlp_text):
        for tex in text.split():
            # Replace all special symbols
            tex = re.sub(r'[?|$|.|!|,]', r'', tex)
            if tex.upper() in EDUCATION and tex not in STOPWORDS:
                edu[tex] = text + nlp_text[index + 1]

    # Extract year
    education = []
    for key in edu.keys():
        year = re.search(re.compile(r'((20|19)(\d{2}))'), edu[key])
        if year:
            education.append((key, ''.join(year[0])))
        else:
            education.append(key)
    return education

Education= extract_education(resume_text)
print(Education)

...

ANSWER

Answered 2021-May-22 at 06:19

As Tim Roberts said, you want to the text attribute.

Source https://stackoverflow.com/questions/67646070

QUESTION

Setup Tensorflow 2.4 on Ubuntu 20.04 with GPU without sudo

Asked 2021-May-20 at 16:25

I have access to a virtual machine with Ubuntu 20.04 setup and GPUs. Sysadmins already installed latest Cuda drivers, but unfortunately that's not enough to use GPUs in Tensorflow, as each version of TF can be very picky when it comes to the particular set of Cuda Toolkit + CuDNN versions. I don't have sudo rights, so I need to install everything locally.

...

ANSWER

Answered 2021-May-20 at 16:25

Instructions to setup Tensorflow 2.4.x (tested for 2.4.1) on an Ubuntu 20.04 environment without admin rights. It is assumed that a sysadmin already installed the latest Cuda drivers. It consists of install Cuda 11.0 toolkit + CuDNN 8.2.0.

Instructions below will install CUDA 11.0 (tested to work for Tensorflow 2.4.1) under directory /home/pherath/cuda_toolkits/cuda-11.0 without sudo rights.

Step 1. Download CUDA 11.0

Source https://stackoverflow.com/questions/67483626

QUESTION

Segfault with for fresh ubuntu 20.04 install using conda

Asked 2021-May-14 at 09:58

The python interpreter segfaults when running in a miniconda environment on a fresh install of ubuntu 20.04.2. This seems to happen intermittently, both while running "pip" during the conda setup of an environment and during the execution of code like below.

The segfault always occurs when running the following code, which reads texts from files and tokenizes the result. The segfault location changes from run to run. Also the exact same code can run on another computer with the same conda environment on a ubuntu 18.04.

The core dumps always points to some function in the unicodeobject.c file in python but the exact function changes from crash to crash. At least one crash has a clear dereferenced pointer 0x0 where the "unicode object" should be.

My guess is that something causes the python interpreter to throw away the pointed to unicode object while it is still being worked on causing a segfault. But any bug in the interpreter or NLTK should have been noticed by more users, and I cannot find anyone with similar issues.

Things tried that didn't fix the issue:

Reformatting and reinstalling ubuntu
Switched to ubuntu 18.04 (on this computer, another computer with 18.04 can run the code just fine)
Replacing hardware, to ensure that RAM, or SSD disk isn't broken
Changing to python versions 3.8.6, 3.8.8, 3.9.2
Cloning the conda environment from a working computer to the broken one

Attached is one stacktrace of the fault handler along with it's corresponding core dump stack trace from gdb.

...

ANSWER

Answered 2021-May-14 at 09:58

For the sake of anyone searching for similar issues. This was eventually resolved to be a hardware fault in the CPU. Replacing the CPU with another identically branded one removed the issue. Interestingly the issue was not present on windows computers.

Source https://stackoverflow.com/questions/66868753

QUESTION

Tensorflow 2 Object Detection API: Numpy Version Errors

Asked 2021-Apr-28 at 14:25

I followed the "Training Custom Object Detector" tutorial (https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html)

When running the script to continue training a pre-trained model:

python model_main_tf2.py --model_dir=models/my_ssd_resnet50_v1_fpn --pipeline_config_path=models/my_ssd_resnet50_v1_fpn/pipeline.config

(found here: https://github.com/tensorflow/models/blob/master/research/object_detection/model_main_tf2.py)

Using different numpy versions, I get the following errors.

Scenario #1:

tensorflow: 2.2.0
numpy: 1.20.0-1

NotImplementedError: Cannot convert a symbolic Tensor (cond_2/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported

I looked online and it suggests to downgrade the numpy version < 1.20.0 (NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array). Note, the version numpy version must be >= 1.19.2 for tensorflow 2.2.0.

Scenario #2:

tensorflow: 2.2.0
numpy: 1.19.2-5

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

However, the online recommendation is to upgrade numpy to >= 1.20.0. (ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject). There is a github issue related to this: https://github.com/tensorflow/models/issues/9749.

I'm not sure what version to use to get the code running.

Appendix: Scenario #1 Error Code (numpy: 1.20.0-1)

...

ANSWER

Answered 2021-Feb-26 at 09:25

I had the same error. Are you on windows? If so try (that worked for me):
pip uninstall pycocotools
pip install pycocotools-windows

Source https://stackoverflow.com/questions/66373169

QUESTION

3D quiver plot video using 3D arrays

Asked 2021-Apr-25 at 13:54

I am attempting to create a 3d quiver plot of velocity vectors, using 3 arrays containing the vectors in x, y, z space with respect to time. I.e. a video of the quiver plot. Can someone help with this? I have showed the error message below from running the code as it is.

For example one frame of the output should look a bit like this:

Main code: part 1 and part 2. Also here:

(Note this code was successfully used for the 2D version now being upgraded to 3D)

...

ANSWER

Answered 2021-Apr-25 at 13:54

I have had to record a 2D quiver plot a while back.

The approach I used, was:

Create the figure you want using.
Convert the fig to an image (a numpy array)
Use opencv-python (cv2), to write the output.

Fig to arr

Source https://stackoverflow.com/questions/67216711

QUESTION

Permission denied when calling library function

Asked 2021-Mar-25 at 21:18

I am attempting to run a tutorial https://slundberg.github.io/shap/notebooks/Census%20income%20classification%20with%20XGBoost.html

where I'm stuck at

...

ANSWER

Answered 2021-Mar-25 at 21:18

The problem here is that a cache function tried to make a directory in /usr/local/lib/python3.8/dist-packages/shap/ which requires sudo permission.

The solution is to run sudo, I think only once for each dataset.

Or have installed a personal version of shap

Source https://stackoverflow.com/questions/66807617

QUESTION

CMakeLists linkage error 'magma_opts::parse_opts' using MAGMA testing code

Asked 2021-Mar-24 at 13:59

Currently I am using MAGMA 2.5.4 to solve a batched linear solver with tiny sizes of matrices. I want to involve magma_dgesv_batched in my project compiled via a CMakeLists file.

The include_directories and target_link_libraries are shown below.

...

ANSWER

Answered 2021-Mar-24 at 13:59

Okay, I somehow solve the problem after asking one of the developers of MAGMA. The thing is that, magma_opts::magma_opts(magma_opts_t) is not included in standard MAGMA libraries, but it is kept in the testing folder of the MAGMA. I should not fully copy the testing code from MAGMA and try to run it, but rather, I should mimic its structure. To solve the opt::queue in the testing code, I need to create a magma queue by magma_queue_create and magma_queue_destroy.

Here's the complete code that is run perfectly:

Source https://stackoverflow.com/questions/66667182

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

Vulnerabilities

No vulnerabilities reported

Install cudart

You can download it from GitHub.

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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