Questions tagged [cuda]
CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model for NVIDIA GPUs (Graphics Processing Units). CUDA provides an interface to NVIDIA GPUs through a variety of programming languages, libraries, and APIs.
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Hide warnings and/or errors when importing Keras
My script imports the following Keras modules:
from keras.models import Sequential
from keras.layers import Dense, Input
from keras.utils import to_categorical
and every time the same warnings/errors ...
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i getting a KeyError in numba but the Key exists [duplicate]
i getting KeyError in this code:
from numba import jit, cuda
import numpy as np
from timeit import default_timer as timer
@jit(target_backend='cuda')
def func2(a):
for ...
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Contradict specs on tensor cores on my GPU [duplicate]
My GPU is Quadro T1000 Mobile (SM_75). I've received the contrary device specs on tensor cores.
The GPU has 14 SMs and the chapter compute capacity 7.x lists 8 tensor cores per SM straightly. If so, ...
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CUDA Issues Kubeflow
In our company we have Kubeflow running with GPUs available. I'm using a standard docker image jupyter-pytorch-cuda-full:v1.8.0 as base image.
torch.version = 2.1.0+cu121 is installed, the GPU is ...
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Compiling CUDA programs with clang takes over an hour [closed]
I am using clang-18 to compile CUDA programs, and the compilation process does not report any errors, but it takes a very long time (even over an hour).
The program can be compiled very quickly using ...
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Cannot open source file "crtdefs.h" in VSC (CUDA script), but CUDA compilation works
My CUDA script (.cu) can be compiled without error, but #include <stdio.h> line raises VSC's error:
#include errors detected. Please update your includePath. Squiggles are disabled for this ...
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How to partition data in a warp based on a predicate so all keep items are consecutive
I have a warp full of data, some of which I want to keep and some I want to discard.
I want to store the keep items in contiguous memory.
For example, say I only want to keep prime numbers
input ...
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cuobjdump emit no PTX arithmetic instruction
Why doesn't cuobjdump emit the PTX mul instruction below? Has nvcc optimized the cubin output iteself? Is the result calculated at compile-time? If so, for this simplest case nvcc can reasonably ...
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Build issue with MatX concerning initialisation of shared variables
I'm attempting to build and install MatX onto my Linux machine.
I'm following the instructions found here.
Except when I run the make -j command, I get the following trace:
/home/<me>/Documents/...
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Calculate network from cugraph
I have been playing around with cugraph and nx_cugraph in python, but I am struggling to calculate the number of connected components from the graph. I have been getting a lot of errors.
To calculate ...
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Problems evaluating CUDNN for SGEMM
I used cudnn to test sgemm for C[stride x stride] = A[stride x stride] x B[stride x stride] below,
Configuration
GPU: T1000/SM_75
cuda-12.0.1/driver-535 installed (via the multiverse repos on ubuntu-...
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CUDA Thrust Sort Error C2338: ‘unimplemented for this system’ in Visual Studio 2022 after Git Pull [closed]
I'm facing an issue with a CUDA project that was previously compiling and running successfully. After pulling the latest code from GitLab, I'm now encountering a static_assert error from the Thrust ...
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CUDA: Nth set bit indexes using all threads in a warp in O(1) time
I have a 32-bit bit mask holding a set of valid items.
From that bit mask I want to extract the indices of valid entries as a list.
Let's say I obtained the bit mask using a ballot, and I want to know ...
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How to build and use Nvidia cuCollections on Windows? [closed]
Is there a way to make this work on windows?
https://github.com/NVIDIA/cuCollections
I am unable to compile it and unable to use the .cuh files as a part of my project.
The bottom line is that the lib ...
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Want to run a Local LLM on Nvidia Jetson AGX Orin over GPU
I am looking to run a local LLM (Large Language Model) on an Nvidia Jetson AGX Orin over the GPU CUDA Cores . Could anyone provide guidance or share resources on how to achieve this?
Thank you in ...
