212 questions
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19
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grid_search.fit() report exception with RAPIDS api
Got exceptions from the code.
Develop enviroment is: win10, WSL2, RAPIDS 24.02.
Please help to check. I have puzzled for long time.
Implicit conversion to a host NumPy array via array is not allowed, ...
1
vote
1
answer
233
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How to implement KNNImputer in GPU?
I’m working with a large dataset on Kaggle and want to speed up the imputation process by using GPU acceleration for KNN imputation. My current approach uses the CPU-based KNNImputer from sklearn, but ...
0
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2
answers
154
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how do I append the output of a dask_cudf apply function to the original dask_cudf?
I am applying a function (e.g. letter frequency) to a dask_cudf dataframe that consists of a single column of words of fixed length.
I am trying to merge the output or append the output into the ...
0
votes
1
answer
58
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cudf ModuleNotFoundError after installing RAPIDS in MSL2
I successfully installed RAPIDS in my WSL2 window, but importing cudf is not working. According to the RAPIDS website https://docs.rapids.ai/install#conda , as well as some other sources, I should be ...
0
votes
2
answers
3k
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cuDF installation failure: "Didn't find wheel for cudf-cu12 24.6.1"
I'm trying to install cuDF to gain the glorious powers of multithreading my NVIDIA GPU in my python scripts. However, I can't install cuDF.
To install cuDF, i went to https://docs.rapids.ai/install ...
0
votes
0
answers
171
views
Rapids Cudf library not fast enough
I have a server with 1xNvidia T4 and a 32 Cores CPU. Trying to migrate from pandas to cudf.
I am performing multiple row wise transformations on my data but I could find the CPU computing faster than ...
0
votes
1
answer
221
views
Using %load_ext cudf.pandas throws AttributeError
I am trying to use cudf.pandas on a notebook on Kaggle and running into a long error message when enabling GPU on GridSearch. The main issue being an AttributeError on a DatFrame.
The code works fine ...
1
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0
answers
814
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"fatal error: spdlog/fmt/bundled/core.h: No such file or directory" when trying to build executable for libucdf program
I am trying to write a basic program to read a csv into a cudf with libcudf. I have installed libcudf by installing the RAPIDS conda environment. I am trying to use this command to build my executable:...
1
vote
1
answer
402
views
Reading full image with RAPIDS cucim
I'm trying to understand how to read an image as an array using cucim. My image is a float64 .tiff with shape=(657, 668) from a CT-scan.
The closest function I could find was read_region (I couldn't ...
0
votes
0
answers
176
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How to Distribute Dask-CUDA Workload Across Multiple GPUs?
I'm working on a project where I need to evenly distribute data processing tasks across multiple GPUs using dask_cudf. Despite my current setup, the workload seems to be handled by only one GPU. I'm ...
2
votes
1
answer
99
views
How to convert cuGraph directed graph to undirected to run MST?
I'm trying to build MST from a directed graph by converting it to an undirected one. I followed cuGraph example here but getting NotImplementedError: Not supported for distributed graph.
I tried doing ...
2
votes
1
answer
448
views
trying to install cudf but cannot find a version that matches with pd what should be the version of pandas and cudf or where can i find the doc
(base) mitul@pop-os:~$ work
(rapids-24.02) mitul@pop-os:~$ python
Python 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:36:39) [GCC 12.3.0] on linux
Type "help", "copyright&...
1
vote
1
answer
933
views
A way to use Nvidia Rapids in windows directly?
I would Like to know that is there a way to install Nvidia Rapids directly in windows 11 and use rather than using it with wsl2 or docker? Or is there a way to connect jupyter lab host to dataspell?
I ...
1
vote
1
answer
354
views
tSNE cuML taking a long time to run/ not running but returning no error
I recently installed RAPIDs in an conda environment using WSL2 on my Windows laptop. I used the following command to install it:
conda create --solver=libmamba -n rapids-24.02 -c rapidsai -c conda-...
0
votes
0
answers
182
views
std::bad_alloc: out_of_memory: CUDA error
I have this code:
import cudf
import cuml
import cupy as cp
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from cuml.model_selection import ...