Artificial Intelligence

🐛 Bug

DeepSpeed raises an internal error when the Trainer runs on CPU. I imagine they don't support CPU training so we should raise a MisconfigurationException in that case.

To Reproduce

Code

import os

import torch
from torch.utils.data import DataLoader, Dataset

from pytorch_lightning import LightningModule, Trainer


class RandomDataset(Dataset):
    de

We recently deprecated --no-conda flag, but our examples still use it. They should be updated to use --env-manager=local instead.

https://github.com/mlflow/mlflow/blame/master/examples/pytorch/AxHyperOptimizationPTL/README.md#L26

mlflow run . --no-conda

The code above needs be fixed to the following:

mlflow run . --env-manager=local

Is there an existing issue for this?

• I have searched the existing issues

What would you like to be added?

When a user reports a bug in an issue, in addition to "Environment", "Current Behavior", "Expected Behavior", and "Steps To Reproduce", a "Milvus log" needs to be added to the issue template.

![image](https://user-images.githubusercontent.com/53512883/162382819-86855bd6-7f6

We support toml as params file. There are a few issues with our current toml parsing:

1. We use toml library, which is not toml 1.0 standard compatible. Also, the library is not being actively maintained.
2. toml dumping does not preserve existing formatting.
3. iterative/dvc#6402

We can try migrating to tomli (which

Currently, when entering epic mode the README is frozen in the last level of the tower. When you're trying to fine-tune the score for a level other than the last one, it would be helpful if we had the README for that level available. The proposal is that when entering epic mode, the README is updated with all levels, one following the other.

Example:

# Starbolt - beginner

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.