Artificial Intelligence

🐛 Bug

When using the cross validation loop from the example pl_examples/loop_examples/kfold.py with ddp_spawn strategy, it encounter a SIGABRT Exception and the program crash.

To Reproduce

import os
from pytorch_lightning import seed_everything, Trainer

from pl_examples.loop_examples.kfold import KFoldLoop, LitImageClassifier, MNISTKFoldDataModule


def run():

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Is there an existing issue for this?

• I have searched the existing issues

What would you like to be added?

I would like to have a method to retrieve all the rows from a collection, something like SELECT * in SQL.

Currently I achieve this goal using the following boolean expression: index != -1, but I guess this is not the best way to to this.

Why is this neede

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
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❗ Google Cloud text-to-speech
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❗ Watson spee

I am using metaflow locally but with the AWS service (e.g. the actual compute is happening locally rather than in AWS batch but the metadata is using AWS). When I access the run data through run.data I get new local directories with names like metaflow.s3.w3efey1k, which I presume is because metaflow pulls from S3 into that directory, and then un-pickles the result from there. Is there a way t