From 8f4bdccfb8dda7c3abd5ae9a919e0cc1af52d183 Mon Sep 17 00:00:00 2001 From: chris-santiago Date: Sun, 17 Sep 2023 23:56:59 -0400 Subject: [PATCH] add simsiam v2 and sidae v2 --- autoencoders/conf/comps.yaml | 4 +- autoencoders/conf/data/sidae2.yaml | 25 +++ autoencoders/conf/model/sidae2.yaml | 25 +++ autoencoders/data.py | 18 +- autoencoders/models/sidae.py | 38 +++- .../2023-09-15/23-45-29/.hydra/config.yaml | 99 ++++++++++ .../2023-09-15/23-45-29/.hydra/hydra.yaml | 176 ++++++++++++++++++ .../2023-09-15/23-45-29/.hydra/overrides.yaml | 4 + .../23-45-29/checkpoints/best_k_models.yaml | 2 + .../2023-09-17/23-30-16/.hydra/config.yaml | 92 +++++++++ .../2023-09-17/23-30-16/.hydra/hydra.yaml | 175 +++++++++++++++++ .../2023-09-17/23-30-16/.hydra/overrides.yaml | 3 + .../23-30-16/checkpoints/best_k_models.yaml | 2 + .../2023-09-17/21-40-54/.hydra/config.yaml | 100 ++++++++++ .../2023-09-17/21-40-54/.hydra/hydra.yaml | 175 +++++++++++++++++ .../2023-09-17/21-40-54/.hydra/overrides.yaml | 3 + .../21-40-54/checkpoints/best_k_models.yaml | 2 + outputs/comps.json | 48 ++--- outputs/encoder-accuracy.png | Bin 156119 -> 152191 bytes outputs/encoder-auc.png | Bin 156457 -> 153798 bytes .../2023-09-16/00-01-15/.hydra/config.yaml | 87 +++++++++ .../2023-09-16/00-01-15/.hydra/hydra.yaml | 165 ++++++++++++++++ .../2023-09-16/00-01-15/.hydra/overrides.yaml | 1 + .../2023-09-17/23-15-27/.hydra/config.yaml | 87 +++++++++ .../2023-09-17/23-15-27/.hydra/hydra.yaml | 165 ++++++++++++++++ .../2023-09-17/23-15-27/.hydra/overrides.yaml | 1 + .../2023-09-17/23-53-52/.hydra/config.yaml | 87 +++++++++ .../2023-09-17/23-53-52/.hydra/hydra.yaml | 165 ++++++++++++++++ .../2023-09-17/23-53-52/.hydra/overrides.yaml | 1 + outputs/results.json | 24 +++ 30 files changed, 1743 insertions(+), 31 deletions(-) create mode 100644 autoencoders/conf/data/sidae2.yaml create mode 100644 autoencoders/conf/model/sidae2.yaml create mode 100644 outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/config.yaml create mode 100644 outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/hydra.yaml create mode 100644 outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/overrides.yaml create mode 100644 outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/best_k_models.yaml create mode 100644 outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/config.yaml create mode 100644 outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/hydra.yaml create mode 100644 outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/overrides.yaml create mode 100644 outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/best_k_models.yaml create mode 100644 outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/config.yaml create mode 100644 outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/hydra.yaml create mode 100644 outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/overrides.yaml create mode 100644 outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/best_k_models.yaml create mode 100644 outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/config.yaml create mode 100644 outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/hydra.yaml create mode 100644 outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/overrides.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/config.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/hydra.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/overrides.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/config.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/hydra.yaml create mode 100644 outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/overrides.yaml diff --git a/autoencoders/conf/comps.yaml b/autoencoders/conf/comps.yaml index c046e92..602f47e 100644 --- a/autoencoders/conf/comps.yaml +++ b/autoencoders/conf/comps.yaml @@ -86,7 +86,7 @@ models: latent_dim: 1024 dim: 1024 pred_dim: 512 - ckpt_path: SimSiam/train/2023-09-07/13-23-54/checkpoints/epoch=40-step=9635.ckpt + ckpt_path: SimSiam/train/2023-09-17/21-40-54/checkpoints/epoch=39-step=9400.ckpt sidae: name: SiDAE module: @@ -103,4 +103,4 @@ models: latent_dim: 512 dim: 512 pred_dim: 512 - ckpt_path: SiDAE/train/2023-09-15/22-33-09/checkpoints/epoch=44-step=10575.ckpt + ckpt_path: SiDAE2/train/2023-09-17/23-30-16/checkpoints/epoch=38-step=18291.ckpt diff --git a/autoencoders/conf/data/sidae2.yaml b/autoencoders/conf/data/sidae2.yaml new file mode 100644 index 0000000..65f894e --- /dev/null +++ b/autoencoders/conf/data/sidae2.yaml @@ -0,0 +1,25 @@ +batch_size: 128 +n_workers: 6 # Multirun launcher requires n_workers=0 otherwise it fails +name: mnist + +train: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset2 + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: True + batch_size: ${data.batch_size} + shuffle: True + num_workers: ${data.n_workers} + +valid: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset2 + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: False + batch_size: ${data.batch_size} + shuffle: False + num_workers: ${data.n_workers} \ No newline at end of file diff --git a/autoencoders/conf/model/sidae2.yaml b/autoencoders/conf/model/sidae2.yaml new file mode 100644 index 0000000..858a9c8 --- /dev/null +++ b/autoencoders/conf/model/sidae2.yaml @@ -0,0 +1,25 @@ +# Defining the optimizer as a group default allows CLI override, e.g. +# python train.py "optimizer@model.optimizer=sgd" +# or via config "override scheduler@model.scheduler: cyclic" +# See https://stackoverflow.com/questions/71438040/overwriting-hydra-configuration-groups-from-cli/71439510#71439510 +defaults: + - /optimizer@optimizer: adam + - /scheduler@scheduler: plateau + +name: SiDAE2 + +nn: + _target_: autoencoders.models.sidae.SiDAE2 + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + dim: 512 + pred_dim: 512 + alpha: .25 diff --git a/autoencoders/data.py b/autoencoders/data.py index 03e3670..fdc7e0d 100644 --- a/autoencoders/data.py +++ b/autoencoders/data.py @@ -8,7 +8,7 @@ from omegaconf import DictConfig import autoencoders.constants -from autoencoders.modules import WhiteNoise +from autoencoders.modules import RandWhiteNoise constants = autoencoders.constants.Constants() @@ -76,9 +76,9 @@ def __init__( factor: float = 1.0, ): super().__init__(dataset, transform, num_ops) - self.noise = WhiteNoise(loc, scale, factor) - self.augment_1 = T.RandomPerspective() - self.augment_2 = T.GaussianBlur(3) + self.noise = RandWhiteNoise(loc, scale, factor=(0.10, 0.75)) + self.augment_1 = T.RandomPerspective(p=1.0) + self.augment_2 = T.ElasticTransform(alpha=100.0) def __getitem__(self, idx): inputs = self.dataset.data.__getitem__(idx) @@ -92,6 +92,16 @@ def __getitem__(self, idx): return aug_1, aug_2, self.noise(inputs).unsqueeze(0), inputs.unsqueeze(0) +class SiDAEDataset2(SimSiamDataset): + def __getitem__(self, idx): + inputs = self.dataset.data.__getitem__(idx) + aug_1, aug_2 = self.augment_1(inputs.unsqueeze(0)), self.augment_2(inputs.unsqueeze(0)) + if self.transform: + aug_1, aug_2 = self.transform(aug_1), self.transform(aug_2) + inputs = self.transform(inputs) + return aug_1, aug_2, inputs.unsqueeze(0) + + class AugmentedDataset(torch.utils.data.Dataset): def __init__(self, dataset: DictConfig, augments: List[DictConfig], transform=scale_mnist): self.dataset = hydra.utils.call(dataset) diff --git a/autoencoders/models/sidae.py b/autoencoders/models/sidae.py index df79d49..d8d5808 100644 --- a/autoencoders/models/sidae.py +++ b/autoencoders/models/sidae.py @@ -33,10 +33,46 @@ def training_step(self, batch, idx): z_2, p_2 = self(x_2) siam_loss = -0.5 * (self.loss_func(p_1, z_2).mean() + self.loss_func(p_2, z_1).mean()) + # todo note this deviates from original in that a different noisy augment + # todo is used for recon loss vice x_1, x_2 recon = self.decoder(self.encoder(x_noise)) recon_loss = self.recon_loss_func(recon, x) - total_loss = siam_loss + recon_loss + total_loss = siam_loss + recon_loss # todo add weight param + + self.log("loss", total_loss, on_step=True, on_epoch=True, prog_bar=True, logger=False) + metrics = {"train-loss": total_loss} + self.log_dict(metrics, on_step=False, on_epoch=True, prog_bar=False, logger=True) + return total_loss + + +class SiDAE2(SiDAE): + def __init__( + self, + encoder: nn.Module, + decoder: nn.Module, + dim: int = 2048, + pred_dim: int = 512, + loss_func: nn.Module = nn.CosineSimilarity(), + optim: Optional[torch.optim.Optimizer] = None, + scheduler: Optional[torch.optim.lr_scheduler.LRScheduler] = None, + alpha: float = 0.5, + ): + super().__init__(encoder, decoder, dim, pred_dim, loss_func, optim, scheduler) + self.alpha = alpha + + def training_step(self, batch, idx): + x_1, x_2, x = batch + + z_1, p_1 = self(x_1) + z_2, p_2 = self(x_2) + siam_loss = -0.5 * (self.loss_func(p_1, z_2).mean() + self.loss_func(p_2, z_1).mean()) + + recon_1 = self.decoder(self.encoder(x_1)) + recon_2 = self.decoder(self.encoder(x_2)) + recon_loss = 0.5 * (self.recon_loss_func(recon_1, x) + self.recon_loss_func(recon_2, x)) + + total_loss = (siam_loss * (1 - self.alpha)) + (recon_loss * self.alpha) self.log("loss", total_loss, on_step=True, on_epoch=True, prog_bar=True, logger=False) metrics = {"train-loss": total_loss} diff --git a/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/config.yaml b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/config.yaml new file mode 100644 index 0000000..c7c5d34 --- /dev/null +++ b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/config.yaml @@ -0,0 +1,99 @@ +data: + batch_size: 256 + n_workers: 10 + name: mnist + train: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: true + num_ops: 1 + loc: 0 + scale: 1 + factor: 0.05 + batch_size: ${data.batch_size} + shuffle: true + num_workers: ${data.n_workers} + valid: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: false + num_ops: 1 + loc: 0 + scale: 1 + factor: 1.0 + batch_size: ${data.batch_size} + shuffle: false + num_workers: ${data.n_workers} +model: + optimizer: + _target_: torch.optim.Adam + _partial_: true + lr: 0.001 + betas: + - 0.9 + - 0.999 + weight_decay: 0 + scheduler: + _target_: torch.optim.lr_scheduler.ReduceLROnPlateau + _partial_: true + mode: min + factor: 0.1 + patience: 10 + name: SiDAE + nn: + _target_: autoencoders.models.sidae.SiDAE + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + dim: 512 + pred_dim: 512 +trainer: + _target_: pytorch_lightning.Trainer + max_epochs: 100 + accelerator: mps + devices: 1 + logger: + _target_: pytorch_lightning.loggers.WandbLogger + project: autoencoders + name: null + id: null + group: null + job_type: null + save_dir: ${hydra:runtime.output_dir} + log_model: true + tags: ${tags} +callbacks: + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar + refresh_rate: 5 + leave: true + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: train-loss + min_delta: 0.001 + patience: 10 + check_on_train_epoch_end: true + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + dirpath: ${hydra:runtime.output_dir}/checkpoints + monitor: train-loss + save_top_k: 1 + save_on_train_epoch_end: true +tags: +- ${data.name} +- ${model.name} diff --git a/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/hydra.yaml b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/hydra.yaml new file mode 100644 index 0000000..091027b --- /dev/null +++ b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/hydra.yaml @@ -0,0 +1,176 @@ +hydra: + run: + dir: outputs/${model.name}/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/${model.name}/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: + - data=sidae + - data.train.dataset.factor=.05 + - model=sidae + - callbacks=siam + job: + name: train + chdir: null + override_dirname: callbacks=siam,data.train.dataset.factor=.05,data=sidae,model=sidae + id: ??? + num: ??? + config_name: config + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE/train/2023-09-15/23-45-29 + choices: + experiment: null + callbacks: siam + trainer: default + model: sidae + scheduler@model.scheduler: plateau + optimizer@model.optimizer: adam + data: sidae + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/overrides.yaml b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/overrides.yaml new file mode 100644 index 0000000..b7e6ee9 --- /dev/null +++ b/outputs/SiDAE/train/2023-09-15/23-45-29/.hydra/overrides.yaml @@ -0,0 +1,4 @@ +- data=sidae +- data.train.dataset.factor=.05 +- model=sidae +- callbacks=siam diff --git a/outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/best_k_models.yaml b/outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/best_k_models.yaml new file mode 100644 index 0000000..50faaa2 --- /dev/null +++ b/outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/best_k_models.yaml @@ -0,0 +1,2 @@ +? /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/epoch=55-step=13160.ckpt +: -0.9580109119415283 diff --git a/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/config.yaml b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/config.yaml new file mode 100644 index 0000000..2ec56d8 --- /dev/null +++ b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/config.yaml @@ -0,0 +1,92 @@ +data: + batch_size: 128 + n_workers: 6 + name: mnist + train: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset2 + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: true + batch_size: ${data.batch_size} + shuffle: true + num_workers: ${data.n_workers} + valid: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SiDAEDataset2 + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: false + batch_size: ${data.batch_size} + shuffle: false + num_workers: ${data.n_workers} +model: + optimizer: + _target_: torch.optim.Adam + _partial_: true + lr: 0.001 + betas: + - 0.9 + - 0.999 + weight_decay: 0 + scheduler: + _target_: torch.optim.lr_scheduler.ReduceLROnPlateau + _partial_: true + mode: min + factor: 0.1 + patience: 10 + name: SiDAE2 + nn: + _target_: autoencoders.models.sidae.SiDAE2 + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + dim: 512 + pred_dim: 512 + alpha: 0.25 +trainer: + _target_: pytorch_lightning.Trainer + max_epochs: 200 + accelerator: mps + devices: 1 + logger: + _target_: pytorch_lightning.loggers.WandbLogger + project: autoencoders + name: null + id: null + group: null + job_type: null + save_dir: ${hydra:runtime.output_dir} + log_model: true + tags: ${tags} +callbacks: + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar + refresh_rate: 5 + leave: true + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: train-loss + min_delta: 0.0001 + patience: 10 + check_on_train_epoch_end: true + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + dirpath: ${hydra:runtime.output_dir}/checkpoints + monitor: train-loss + save_top_k: 1 + save_on_train_epoch_end: true +tags: +- ${data.name} +- ${model.name} diff --git a/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/hydra.yaml b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/hydra.yaml new file mode 100644 index 0000000..b309403 --- /dev/null +++ b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/hydra.yaml @@ -0,0 +1,175 @@ +hydra: + run: + dir: outputs/${model.name}/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/${model.name}/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: + - model=sidae2 + - data=sidae2 + - callbacks=siam + job: + name: train + chdir: null + override_dirname: callbacks=siam,data=sidae2,model=sidae2 + id: ??? + num: ??? + config_name: config + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE2/train/2023-09-17/23-30-16 + choices: + experiment: null + callbacks: siam + trainer: default + model: sidae2 + scheduler@model.scheduler: plateau + optimizer@model.optimizer: adam + data: sidae2 + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/overrides.yaml b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/overrides.yaml new file mode 100644 index 0000000..36921bd --- /dev/null +++ b/outputs/SiDAE2/train/2023-09-17/23-30-16/.hydra/overrides.yaml @@ -0,0 +1,3 @@ +- model=sidae2 +- data=sidae2 +- callbacks=siam diff --git a/outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/best_k_models.yaml b/outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/best_k_models.yaml new file mode 100644 index 0000000..6ca520a --- /dev/null +++ b/outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/best_k_models.yaml @@ -0,0 +1,2 @@ +? /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/epoch=38-step=18291.ckpt +: -0.7134384512901306 diff --git a/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/config.yaml b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/config.yaml new file mode 100644 index 0000000..3feab7b --- /dev/null +++ b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/config.yaml @@ -0,0 +1,100 @@ +data: + batch_size: 256 + n_workers: 8 + name: mnist + train: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SimSiamDataset + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: true + augment_1: + _target_: torchvision.transforms.GaussianBlur + kernel_size: 3 + augment_2: + _target_: torchvision.transforms.RandomPerspective + distortion_scale: 0.75 + p: 1.0 + batch_size: ${data.batch_size} + shuffle: true + num_workers: ${data.n_workers} + valid: + _target_: torch.utils.data.DataLoader + dataset: + _target_: autoencoders.data.SimSiamDataset + dataset: + _target_: autoencoders.data.get_mnist_dataset + train: true + augment_1: + _target_: torchvision.transforms.ElasticTransform + alpha: 100.0 + augment_2: + _target_: torchvision.transforms.RandomPerspective + distortion_scale: 0.75 + p: 1.0 + batch_size: ${data.batch_size} + shuffle: false + num_workers: ${data.n_workers} +model: + optimizer: + _target_: torch.optim.Adam + _partial_: true + lr: 0.001 + betas: + - 0.9 + - 0.999 + weight_decay: 0 + scheduler: + _target_: torch.optim.lr_scheduler.ReduceLROnPlateau + _partial_: true + mode: min + factor: 0.1 + patience: 10 + name: SimSiam + nn: + _target_: autoencoders.models.simsiam.SimSiam + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: ${model.nn.dim} + dim: 512 + pred_dim: 512 +trainer: + _target_: pytorch_lightning.Trainer + max_epochs: 200 + accelerator: mps + devices: 1 + logger: + _target_: pytorch_lightning.loggers.WandbLogger + project: autoencoders + name: null + id: null + group: null + job_type: null + save_dir: ${hydra:runtime.output_dir} + log_model: true + tags: ${tags} +callbacks: + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar + refresh_rate: 5 + leave: true + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: train-loss + min_delta: 0.0001 + patience: 10 + check_on_train_epoch_end: true + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + dirpath: ${hydra:runtime.output_dir}/checkpoints + monitor: train-loss + save_top_k: 1 + save_on_train_epoch_end: true +tags: +- ${data.name} +- ${model.name} diff --git a/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/hydra.yaml b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/hydra.yaml new file mode 100644 index 0000000..53addd5 --- /dev/null +++ b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/hydra.yaml @@ -0,0 +1,175 @@ +hydra: + run: + dir: outputs/${model.name}/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/${model.name}/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: + - model=simsiam + - data=simsiam + - callbacks=siam + job: + name: train + chdir: null + override_dirname: callbacks=siam,data=simsiam,model=simsiam + id: ??? + num: ??? + config_name: config + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SimSiam/train/2023-09-17/21-40-54 + choices: + experiment: null + callbacks: siam + trainer: default + model: simsiam + scheduler@model.scheduler: plateau + optimizer@model.optimizer: adam + data: simsiam + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/overrides.yaml b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/overrides.yaml new file mode 100644 index 0000000..b3d52dd --- /dev/null +++ b/outputs/SimSiam/train/2023-09-17/21-40-54/.hydra/overrides.yaml @@ -0,0 +1,3 @@ +- model=simsiam +- data=simsiam +- callbacks=siam diff --git a/outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/best_k_models.yaml b/outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/best_k_models.yaml new file mode 100644 index 0000000..4fbe2c5 --- /dev/null +++ b/outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/best_k_models.yaml @@ -0,0 +1,2 @@ +? /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/epoch=39-step=9400.ckpt +: -0.9837851524353027 diff --git a/outputs/comps.json b/outputs/comps.json index cc5c3ed..5b942e4 100644 --- a/outputs/comps.json +++ b/outputs/comps.json @@ -165,20 +165,20 @@ 8000 ], "acc": [ - 0.6861, - 0.8883, - 0.9448, - 0.9511, - 0.9683, - 0.9705 + 0.8241, + 0.9514, + 0.9746, + 0.9772, + 0.9804, + 0.9839 ], "auc": [ - 0.8257, - 0.938, - 0.9694, - 0.9729, - 0.9824, - 0.9837 + 0.9024, + 0.973, + 0.9859, + 0.9873, + 0.9891, + 0.9911 ] }, "SiDAE": { @@ -191,20 +191,20 @@ 8000 ], "acc": [ - 0.7379, - 0.9324, - 0.9666, - 0.9723, - 0.9779, - 0.981 + 0.7596, + 0.9591, + 0.9761, + 0.9794, + 0.9837, + 0.9848 ], "auc": [ - 0.8547, - 0.9625, - 0.9815, - 0.9846, - 0.9878, - 0.9894 + 0.8666, + 0.9773, + 0.9867, + 0.9886, + 0.991, + 0.9916 ] } } \ No newline at end of file diff --git a/outputs/encoder-accuracy.png b/outputs/encoder-accuracy.png index 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b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/config.yaml new file mode 100644 index 0000000..522a6e3 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/config.yaml @@ -0,0 +1,87 @@ +seed: 784 +models: + ae: + name: AutoEncoder + module: + _target_: autoencoders.models.base.AutoEncoder + layers: + - 128 + - 64 + - 16 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: autoencoder/train/2023-08-29/21-13-51/checkpoints/epoch=11-step=2820.ckpt + dae: + name: DenoisingAutoEncoder + module: + _target_: autoencoders.models.base_dae.DenoisingAutoEncoder + layers: + - 128 + - 64 + - 64 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: DAE/train/2023-09-09/14-08-48/checkpoints/epoch=11-step=2820.ckpt + deep-ae: + name: DeepAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepAutoEncoder + base_channels: 16 + latent_dim: 32 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-autoencoder/train/2023-08-29/21-33-38/checkpoints/epoch=9-step=2350.ckpt + deep-dae: + name: DeepDenoisingAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepDenoisingAutoEncoder + base_channels: 16 + latent_dim: 256 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-DAE/train/2023-09-09/14-17-53/checkpoints/epoch=5-step=1410.ckpt + vae: + name: VariationalAutoEncoder + module: + _target_: autoencoders.models.vae.VAE + base_channels: 32 + latent_dim: 8 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: VAE/train/2023-08-30/21-54-33/checkpoints/epoch=32-step=7755.ckpt + simsiam: + name: SimSiam + module: + _target_: autoencoders.models.simsiam.SimSiam + encoder: + _target_: autoencoders.modules.ResnetEncoder + latent_dim: 1024 + dim: 1024 + pred_dim: 512 + ckpt_path: SimSiam/train/2023-09-07/13-23-54/checkpoints/epoch=40-step=9635.ckpt + sidae: + name: SiDAE + module: + _target_: autoencoders.models.sidae.SiDAE + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: 512 + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: 512 + dim: 512 + pred_dim: 512 + ckpt_path: SiDAE/train/2023-09-15/23-45-29/checkpoints/epoch=55-step=13160.ckpt diff --git a/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/hydra.yaml b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/hydra.yaml new file mode 100644 index 0000000..a5d5e1d --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/hydra.yaml @@ -0,0 +1,165 @@ +hydra: + run: + dir: outputs/linear-comps/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/linear-comps/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: compare + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: comps + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/linear-comps/compare/2023-09-16/00-01-15 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/overrides.yaml b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/overrides.yaml new file mode 100644 index 0000000..fe51488 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-16/00-01-15/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/config.yaml b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/config.yaml new file mode 100644 index 0000000..7e1e56e --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/config.yaml @@ -0,0 +1,87 @@ +seed: 784 +models: + ae: + name: AutoEncoder + module: + _target_: autoencoders.models.base.AutoEncoder + layers: + - 128 + - 64 + - 16 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: autoencoder/train/2023-08-29/21-13-51/checkpoints/epoch=11-step=2820.ckpt + dae: + name: DenoisingAutoEncoder + module: + _target_: autoencoders.models.base_dae.DenoisingAutoEncoder + layers: + - 128 + - 64 + - 64 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: DAE/train/2023-09-09/14-08-48/checkpoints/epoch=11-step=2820.ckpt + deep-ae: + name: DeepAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepAutoEncoder + base_channels: 16 + latent_dim: 32 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-autoencoder/train/2023-08-29/21-33-38/checkpoints/epoch=9-step=2350.ckpt + deep-dae: + name: DeepDenoisingAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepDenoisingAutoEncoder + base_channels: 16 + latent_dim: 256 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-DAE/train/2023-09-09/14-17-53/checkpoints/epoch=5-step=1410.ckpt + vae: + name: VariationalAutoEncoder + module: + _target_: autoencoders.models.vae.VAE + base_channels: 32 + latent_dim: 8 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: VAE/train/2023-08-30/21-54-33/checkpoints/epoch=32-step=7755.ckpt + simsiam: + name: SimSiam + module: + _target_: autoencoders.models.simsiam.SimSiam + encoder: + _target_: autoencoders.modules.ResnetEncoder + latent_dim: 1024 + dim: 1024 + pred_dim: 512 + ckpt_path: SimSiam/train/2023-09-17/21-40-54/checkpoints/epoch=39-step=9400.ckpt + sidae: + name: SiDAE + module: + _target_: autoencoders.models.sidae.SiDAE + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: 512 + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: 512 + dim: 512 + pred_dim: 512 + ckpt_path: SiDAE/train/2023-09-15/22-33-09/checkpoints/epoch=44-step=10575.ckpt diff --git a/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/hydra.yaml b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/hydra.yaml new file mode 100644 index 0000000..8b4d711 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/hydra.yaml @@ -0,0 +1,165 @@ +hydra: + run: + dir: outputs/linear-comps/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/linear-comps/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: compare + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: comps + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/linear-comps/compare/2023-09-17/23-15-27 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/overrides.yaml b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/overrides.yaml new file mode 100644 index 0000000..fe51488 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-15-27/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/config.yaml b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/config.yaml new file mode 100644 index 0000000..cbf05f5 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/config.yaml @@ -0,0 +1,87 @@ +seed: 784 +models: + ae: + name: AutoEncoder + module: + _target_: autoencoders.models.base.AutoEncoder + layers: + - 128 + - 64 + - 16 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: autoencoder/train/2023-08-29/21-13-51/checkpoints/epoch=11-step=2820.ckpt + dae: + name: DenoisingAutoEncoder + module: + _target_: autoencoders.models.base_dae.DenoisingAutoEncoder + layers: + - 128 + - 64 + - 64 + input_shape: + - 28 + - 28 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: DAE/train/2023-09-09/14-08-48/checkpoints/epoch=11-step=2820.ckpt + deep-ae: + name: DeepAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepAutoEncoder + base_channels: 16 + latent_dim: 32 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-autoencoder/train/2023-08-29/21-33-38/checkpoints/epoch=9-step=2350.ckpt + deep-dae: + name: DeepDenoisingAutoEncoder + module: + _target_: autoencoders.models.deep_ae.DeepDenoisingAutoEncoder + base_channels: 16 + latent_dim: 256 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: deep-DAE/train/2023-09-09/14-17-53/checkpoints/epoch=5-step=1410.ckpt + vae: + name: VariationalAutoEncoder + module: + _target_: autoencoders.models.vae.VAE + base_channels: 32 + latent_dim: 8 + input_channels: 1 + loss_func: + _target_: torch.nn.MSELoss + ckpt_path: VAE/train/2023-08-30/21-54-33/checkpoints/epoch=32-step=7755.ckpt + simsiam: + name: SimSiam + module: + _target_: autoencoders.models.simsiam.SimSiam + encoder: + _target_: autoencoders.modules.ResnetEncoder + latent_dim: 1024 + dim: 1024 + pred_dim: 512 + ckpt_path: SimSiam/train/2023-09-17/21-40-54/checkpoints/epoch=39-step=9400.ckpt + sidae: + name: SiDAE + module: + _target_: autoencoders.models.sidae.SiDAE + encoder: + _target_: autoencoders.modules.CNNEncoderProjection + channels_in: 1 + base_channels: 32 + latent_dim: 512 + decoder: + _target_: autoencoders.modules.CNNDecoder + channels_in: 1 + base_channels: 32 + latent_dim: 512 + dim: 512 + pred_dim: 512 + ckpt_path: SiDAE2/train/2023-09-17/23-30-16/checkpoints/epoch=38-step=18291.ckpt diff --git a/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/hydra.yaml b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/hydra.yaml new file mode 100644 index 0000000..e54c079 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/hydra.yaml @@ -0,0 +1,165 @@ +hydra: + run: + dir: outputs/linear-comps/${hydra.job.name}/${now:%Y-%m-%d}/${now:%H-%M-%S} + sweep: + dir: outputs/linear-comps/${hydra.job.name}/multirun + subdir: ${hydra.job.override_dirname}/${now:%Y-%m-%d}/${now:%H-%M-%S} + launcher: + _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher + n_jobs: -1 + backend: null + prefer: processes + require: null + verbose: 0 + timeout: null + pre_dispatch: 2*n_jobs + batch_size: auto + temp_folder: null + max_nbytes: null + mmap_mode: r + sweeper: + _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper + max_batch_size: null + params: null + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][HYDRA] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + loggers: + logging_example: + level: DEBUG + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: simple + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + mode: RUN + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: + - hydra.mode=RUN + task: [] + job: + name: compare + chdir: null + override_dirname: '' + id: ??? + num: ??? + config_name: comps + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.3.2 + version_base: '1.3' + cwd: /Users/chrissantiago/Dropbox/GitHub/autoencoders + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /Users/chrissantiago/Dropbox/GitHub/autoencoders/autoencoders/conf + schema: file + provider: main + - path: '' + schema: structured + provider: schema + output_dir: /Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/linear-comps/compare/2023-09-17/23-53-52 + choices: + hydra/env: default + hydra/callbacks: null + hydra/job_logging: default + hydra/hydra_logging: default + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: basic + hydra/launcher: joblib + hydra/output: default + verbose: false diff --git a/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/overrides.yaml b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/overrides.yaml new file mode 100644 index 0000000..fe51488 --- /dev/null +++ b/outputs/linear-comps/compare/2023-09-17/23-53-52/.hydra/overrides.yaml @@ -0,0 +1 @@ +[] diff --git a/outputs/results.json b/outputs/results.json index c91a6e9..88bc2b5 100644 --- a/outputs/results.json +++ b/outputs/results.json @@ -190,5 +190,29 @@ "auc": 0.9885 }, "ckpt": "/Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE/train/2023-09-15/22-33-09/checkpoints/epoch=44-step=10575.ckpt" + }, + { + "model": "SiDAE", + "metrics": { + "acc": 0.9904, + "auc": 0.9947 + }, + "ckpt": "/Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE/train/2023-09-15/23-45-29/checkpoints/epoch=55-step=13160.ckpt" + }, + { + "model": "SimSiam", + "metrics": { + "acc": 0.9836, + "auc": 0.9909 + }, + "ckpt": "/Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SimSiam/train/2023-09-17/21-40-54/checkpoints/epoch=39-step=9400.ckpt" + }, + { + "model": "SiDAE2", + "metrics": { + "acc": 0.9863, + "auc": 0.9924 + }, + "ckpt": "/Users/chrissantiago/Dropbox/GitHub/autoencoders/outputs/SiDAE2/train/2023-09-17/23-30-16/checkpoints/epoch=38-step=18291.ckpt" } ] \ No newline at end of file