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**Describe the bug**
cuDF DataFrames indexed by a Timestamp range can be accessed using `.loc[]` without any problem. However, if the cuDF DataFrame is indexed with a MultiIndex with timestamps as th…
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**Describe the bug**
The bug concerns the usage of the multi-gpu K-means algorithm using the dask-scheduler/dask-cuda-worker API on a cluster with a SGE job scheduling system.
In case of a bad_a…
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[PR 2862](https://github.com/rapidsai/cugraph/pull/2862) disabled some test that fail intermittently, which seemed to be unrelated to the changes in the PR. In order to get those changes merged, the …
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**Describe the bug**
When specifying an out of range column index for `usecols` when using `read_csv()` (e.g. `usecols=[2]` for a 2 column CSV file), an illegal memory access occurs - this can someti…
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```
root@localhost:/workspace/xtuner# pip install -e '.[all]'
root@localhost:/workspace/xtuner# xtuner
[2023-09-11 15:13:59,638] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelera…
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**Describe the bug**
Hi,
I've problems using CUDA in my code. I tried to install CUDA11.8 with the command
`conda create -n rapids-23.02 -c rapidsai -c conda-forge -c nvidia rapids=23.02 pyth…
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```[tasklist]
### Activity List
- [ ] #2539
- [ ] #2540
- [ ] #2541
- [ ] #2542
- [ ] #2543
- [ ] #2544
- [ ] #2545
- [ ] #2546
- [ ] #2547
- [ ] #2548
- [ ] #2549
- [ ] #2748
- [ ] #2749
…
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Currently, regardless of input type of the edge indices, cugraph-pyg will convert to a numpy array, and then later on, copy the numpy array back to the device. This can be avoided.
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**Describe the bug**
The parsing of strings to floats has different results in different contexts, as discussed in https://github.com/NVIDIA/spark-rapids/issues/5035.
## Parsing floats from CSV
…
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**What happened**:
Dask scheduler is timing out
**What you expected to happen**:
Return result
**Minimal Complete Verifiable Example**:
```
from xxxxx.distributed.ecscluster import EcsCluste…