setup simple ci (#193)

This commit is contained in:
Romain Beaumont
2022-07-09 01:51:56 +02:00
committed by GitHub
parent 081d8d3484
commit f28dc6dc01
14 changed files with 143 additions and 0 deletions

33
.github/workflows/ci.yml vendored Normal file
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name: Continuous integration
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
tests:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.8]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install
run: |
python3 -m venv .env
source .env/bin/activate
make install
- name: Tests
run: |
source .env/bin/activate
make test

2
.gitignore vendored
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# Pyre type checker # Pyre type checker
.pyre/ .pyre/
.tracker_data
*.pth

6
Makefile Normal file
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install:
pip install -U pip
pip install -e .
test:
CUDA_VISIBLE_DEVICES= python train_decoder.py --config_file configs/train_decoder_config.test.json

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{
"decoder": {
"unets": [
{
"dim": 16,
"image_embed_dim": 768,
"cond_dim": 16,
"channels": 3,
"dim_mults": [1, 2, 4, 8],
"attn_dim_head": 16,
"attn_heads": 4,
"self_attn": [false, true, true, true]
}
],
"clip": {
"make": "openai",
"model": "ViT-L/14"
},
"timesteps": 10,
"image_sizes": [64],
"channels": 3,
"loss_type": "l2",
"beta_schedule": ["cosine"],
"learned_variance": true
},
"data": {
"webdataset_base_url": "test_data/{}.tar",
"num_workers": 4,
"batch_size": 4,
"start_shard": 0,
"end_shard": 9,
"shard_width": 1,
"index_width": 1,
"splits": {
"train": 0.75,
"val": 0.15,
"test": 0.1
},
"shuffle_train": false,
"resample_train": true,
"preprocessing": {
"RandomResizedCrop": {
"size": [64, 64],
"scale": [0.75, 1.0],
"ratio": [1.0, 1.0]
},
"ToTensor": true
}
},
"train": {
"epochs": 1,
"lr": 1e-16,
"wd": 0.01,
"max_grad_norm": 0.5,
"save_every_n_samples": 100,
"n_sample_images": 1,
"device": "cpu",
"epoch_samples": 50,
"validation_samples": 5,
"use_ema": true,
"ema_beta": 0.99,
"amp": false,
"save_all": false,
"save_latest": true,
"save_best": true,
"unet_training_mask": [true]
},
"evaluate": {
"n_evaluation_samples": 2,
"FID": {
"feature": 64
},
"IS": {
"feature": 64,
"splits": 10
},
"KID": {
"feature": 64,
"subset_size": 2
},
"LPIPS": {
"net_type": "vgg",
"reduction": "mean"
}
},
"tracker": {
"overwrite_data_path": true,
"log": {
"log_type": "console"
},
"load": {
"load_from": null
},
"save": [{
"save_to": "local"
}]
}
}

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