-
### Group by aggregate fails in distributed settings
Below code fails when launched with `LocalCUDACluster` but works without it.
```python
from dask_cuda import LocalCUDACluster
from dask.d…
-
i wanted to leverage Dask-cuDF to persist a DataFrame in the parquet format but am met with an error. The same operation executes fine using cuDF so the expectation was that it would work with Dask-cu…
-
Following the release of python-libjuju 3.1.0.1, python-libjuju based functests started failing against juju controllers v2.x, due to juju and libjuju following starting to support the same major vers…
jneo8 updated
10 months ago
-
Following the release of python-libjuju 3.1.0.1, python-libjuju based functests started failing against juju controllers v2.x, due to juju and libjuju following starting to support the same major vers…
jneo8 updated
10 months ago
-
### Dagster version
1.7.4
### What's the issue?
Attempting to use a date before 1969-12-31 12:00:00 (i.e. negative epochs < -43200) results in the following error:
```
Operation name: Pa…
-
### Describe the issue
I am trying to optimize the SD model through **onnxruntime.transformers.models.stable_diffusion.optimize_pipeline**, but these optimized onnx model cannot be parsed directly …
-
## Description
Currently, Kedro CLI startup time can be slow even if very little work is done, for example, doing `kedro` to show the available command or help can take a few seconds. These command…
-
**Update**: Docker has cancelled its plans; renaming this bug to track the collaboratory image build failure.
*Original bug text:*
Docker will remove our images within the month; move docker ima…
-
## Description
I am trying to optimize the SD model through **onnxruntime.transformers.models.stable_diffusion.optimize_pipeline**, but these optimized onnx models cannot be parsed directly by Tens…
-
### Bug description
On my server node, training a LightningModule using DDP leads to a freeze, even before entering the training loop.
The node has 2 GPUs and the freeze occurs indepently of wheth…