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Oct 5, 2020
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Update doc of examples for Trains fileserver setup #1360

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cd5a020
update doc for trains fileserver setup
Oct 5, 2020
37d8bce
replace github issue by documentation
Oct 5, 2020
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12 changes: 11 additions & 1 deletion examples/contrib/cifar10/README.md
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Expand Up @@ -131,4 +131,14 @@ python -u -m torch.distributed.launch --nproc_per_node=2 --use_env main.py run -
--resume-from=/tmp/output-cifar10/resnet18_backend-nccl-2_stop-on-1000/training_checkpoint_1000.pt
```

Similar commands can be adapted for other cases.
Similar commands can be adapted for other cases.

## Trains fileserver

If `Trains` server is used (i.e. `--with_trains` argument), the configuration to upload artifact must be done by
modifying the `Trains` configuration file `~/trains.config` generated by `trains-init`. According to the
[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be
configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
`http://localhost:8081`.

For more details, see https://allegro.ai/docs/examples/reporting/artifacts/
10 changes: 10 additions & 0 deletions examples/references/classification/imagenet/NOTES_Trains.md
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Expand Up @@ -67,6 +67,16 @@ export TRAINS_OUTPUT_PATH=/path/to/output/trains

This environment variable helps to choose Trains as experiment tracking system among all others.

### Trains fileserver setup

The configuration to upload artifact must be done by modifying the `trains` configuration file `~/trains.config`
generated by `trains-init`. According to the
[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be
configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
`http://localhost:8081`.

For more details, see https://allegro.ai/docs/examples/reporting/artifacts/

### Run the code

#### Training on single node and single GPU
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10 changes: 10 additions & 0 deletions examples/references/segmentation/pascal_voc2012/NOTES_Trains.md
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Expand Up @@ -85,6 +85,16 @@ export TRAINS_OUTPUT_PATH=/path/to/output/trains

This environment variable helps to choose Trains as experiment tracking system among all others.

### Trains fileserver setup

The configuration to upload artifact must be done by modifying the `trains` configuration file `~/trains.config`
generated by `trains-init`. According to the
[documentation](https://allegro.ai/docs/examples/reporting/artifacts/), the `output_uri` argument can be
configured in `sdk.development.default_output_uri` to fileserver uri. If server is self-hosted, `Trains` fileserver uri is
`http://localhost:8081`.

For more details, see https://allegro.ai/docs/examples/reporting/artifacts/

### Run the code

#### Training on single node and single GPU
Expand Down