Phil Wang
e527002472
take care of saving and loading functions on the diffusion prior and decoder training classes
2022-05-22 15:10:15 -07:00
Phil Wang
c12e067178
let the pydantic config base model take care of loading configuration from json path
2022-05-22 14:47:23 -07:00
Phil Wang
c6629c431a
make training splits into its own pydantic base model, validate it sums to 1, make decoder script cleaner
2022-05-22 14:43:22 -07:00
Phil Wang
a1ef023193
use pydantic to manage decoder training configs + defaults and refactor training script
2022-05-22 14:27:40 -07:00
Phil Wang
8b0d459b25
move config parsing logic to own file, consider whether to find an off-the-shelf solution at future date
2022-05-21 10:30:10 -07:00
Phil Wang
80497e9839
accept unets as list for decoder
2022-05-20 20:31:26 -07:00
Phil Wang
8997f178d6
small cleanup with timer
2022-05-20 20:05:01 -07:00
Aidan Dempster
022c94e443
Added single GPU training script for decoder ( #108 )
...
Added config files for training
Changed example image generation to be more efficient
Added configuration description to README
Removed unused import
2022-05-20 19:46:19 -07:00
Phil Wang
430961cb97
it was correct the first time, my bad
2022-05-20 18:05:15 -07:00
Phil Wang
721f9687c1
fix wandb logging in tracker, and do some cleanup
2022-05-20 17:27:43 -07:00
Aidan Dempster
e0524a6aff
Implemented the wandb tracker ( #106 )
...
Added a base_path parameter to all trackers for storing any local information they need to
2022-05-20 16:39:23 -07:00
Aidan Dempster
c85e0d5c35
Update decoder dataloader ( #105 )
...
* Updated the decoder dataloader
Removed unnecessary logging for required packages
Transferred to using index width instead of shard width
Added the ability to select extra keys to return from the webdataset
* Added README for decoder loader
2022-05-20 16:38:55 -07:00
Phil Wang
db0642c4cd
quick fix for @marunine
2022-05-18 20:22:52 -07:00
Phil Wang
bb86ab2404
update sample, and set default gradient clipping value for decoder training
2022-05-16 17:38:30 -07:00
Phil Wang
c7ea8748db
default decoder learning rate to what was in the paper
2022-05-16 13:33:54 -07:00
Phil Wang
13382885d9
final update to dalle2 repository for a while - sampling from prior in chunks automatically with max_batch_size keyword given
2022-05-16 12:57:31 -07:00
Phil Wang
164d9be444
use a decorator and take care of sampling in chunks (max_batch_size keyword), in case one is sampling a huge grid of images
2022-05-16 12:34:28 -07:00
Phil Wang
89ff04cfe2
final tweak to EMA class
2022-05-16 11:54:34 -07:00
Phil Wang
f4016f6302
allow for overriding use of EMA during sampling in decoder trainer with use_non_ema keyword, also fix some issues with automatic normalization of images and low res conditioning image if latent diffusion is in play
2022-05-16 11:18:30 -07:00
Phil Wang
1212f7058d
allow text encodings and text mask to be passed in on forward and sampling for Decoder class
2022-05-16 10:40:32 -07:00
Phil Wang
dab106d4e5
back to no_grad for now, also keep track and restore unet devices in one_unet_in_gpu contextmanager
2022-05-16 09:36:14 -07:00
Phil Wang
bb151ca6b1
unet_number on decoder trainer only needs to be passed in if there is greater than 1 unet, so that unconditional training of a single ddpm is seamless (experiment in progress locally)
2022-05-16 09:17:17 -07:00
zion
4a59dea4cf
Migrate to text-conditioned prior training ( #95 )
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* migrate to conditioned prior
* unify reader logic with a wrapper (#1 )
* separate out reader logic
* support both training methods
* Update train prior to use embedding wrapper (#3 )
* Support Both Methods
* bug fixes
* small bug fixes
* embedding only wrapper bug
* use smaller val perc
* final bug fix for embedding-only
Co-authored-by: nousr <>
2022-05-15 20:16:38 -07:00
Phil Wang
ecf9e8027d
make sure classifier free guidance is used only if conditional dropout is present on the DiffusionPrior and Decoder classes. also make sure prior can have a different conditional scale than decoder
2022-05-15 19:09:38 -07:00
Phil Wang
36c5079bd7
LazyLinear is not mature, make users pass in text_embed_dim if text conditioning is turned on
2022-05-15 18:56:52 -07:00
Phil Wang
4a4c7ac9e6
cond drop prob for diffusion prior network should default to 0
2022-05-15 18:47:45 -07:00
Phil Wang
11d4e11f10
allow for training unconditional ddpm or cascading ddpms
2022-05-15 16:54:56 -07:00
Phil Wang
99778e12de
trainer classes now takes care of auto-casting numpy to torch tensors, and setting correct device based on model parameter devices
2022-05-15 15:25:45 -07:00
Phil Wang
7b7a62044a
use eval vs training mode to determine whether to call backprop on trainer forward
2022-05-15 14:20:59 -07:00
Phil Wang
156fe5ed9f
final cleanup for the day
2022-05-15 12:38:41 -07:00
Phil Wang
e66c7b0249
incorrect naming
2022-05-15 11:23:52 -07:00
Phil Wang
68e7d2f241
make sure gradient accumulation feature works even if all arguments passed in are keyword arguments
2022-05-15 11:16:16 -07:00
Phil Wang
aa6772dcff
make sure optimizer and scaler is reloaded on resume for training diffusion prior script, move argparse to click
2022-05-15 10:48:10 -07:00
Phil Wang
89de5af63e
experiment tracker agnostic
2022-05-15 09:56:40 -07:00
Phil Wang
4ec6d0ba81
backwards pass is not recommended under the autocast context, per pytorch docs
2022-05-14 18:26:19 -07:00
Phil Wang
aee92dba4a
simplify more
2022-05-14 17:16:46 -07:00
Phil Wang
b0cd5f24b6
take care of gradient accumulation automatically for researchers, by passing in a max_batch_size on the decoder or diffusion prior trainer forward
2022-05-14 17:04:09 -07:00
Phil Wang
b494ed81d4
take care of backwards within trainer classes for diffusion prior and decoder, readying to take care of gradient accumulation as well (plus, unsure if loss should be backwards within autocast block)
2022-05-14 15:49:24 -07:00
Phil Wang
ff3474f05c
normalize conditioning tokens outside of cross attention blocks
2022-05-14 14:23:52 -07:00
Phil Wang
d5293f19f1
lineup with paper
2022-05-14 13:57:00 -07:00
Phil Wang
e697183849
be able to customize adam eps
2022-05-14 13:55:04 -07:00
Phil Wang
591d37e266
lower default initial learning rate to what Jonathan Ho had in his original repo
2022-05-14 13:22:43 -07:00
Phil Wang
d1f02e8f49
always use sandwich norm for attention layer
2022-05-14 12:13:41 -07:00
Phil Wang
9faab59b23
use post-attn-branch layernorm in attempt to stabilize cross attention conditioning in decoder
2022-05-14 11:58:09 -07:00
Phil Wang
5d27029e98
make sure lowres conditioning image is properly normalized to -1 to 1 for cascading ddpm
2022-05-14 01:23:54 -07:00
Phil Wang
3115fa17b3
fix everything around normalizing images to -1 to 1 for ddpm training automatically
2022-05-14 01:17:11 -07:00
Phil Wang
124d8577c8
move the inverse normalization function called before image embeddings are derived from clip to within the diffusion prior and decoder classes
2022-05-14 00:37:52 -07:00
Phil Wang
2db0c9794c
comments
2022-05-12 14:25:20 -07:00
Phil Wang
2277b47ffd
make sure learned variance can work for any number of unets in the decoder, defaults to first unet, as suggested was used in the paper
2022-05-12 14:18:15 -07:00
Phil Wang
28b58e568c
cleanup in preparation of option for learned variance
2022-05-12 12:04:52 -07:00
