Add All4One

README.md

@@ -59,6 +59,7 @@ The library is self-contained, but it is possible to use the models outside of s
 ---
 
 ## Methods available
+* [All4One](https://openaccess.thecvf.com/content/ICCV2023/html/Estepa_All4One_Symbiotic_Neighbour_Contrastive_Learning_via_Self-Attention_and_Redundancy_Reduction_ICCV_2023_paper.html)
 * [Barlow Twins](https://arxiv.org/abs/2103.03230)
 * [BYOL](https://arxiv.org/abs/2006.07733)
 * [DeepCluster V2](https://arxiv.org/abs/2006.09882)
@@ -216,6 +217,7 @@ All pretrained models avaiable can be downloaded directly via the tables below o
 
 | Method       | Backbone | Epochs | Dali | Acc@1 | Acc@5 | Checkpoint |
 |--------------|:--------:|:------:|:----:|:--------------:|:--------------:|:----------:|
+| All4One      | ResNet18 |  1000  |  :x: |      93.24     |     99.88      | [:link:](https://drive.google.com/drive/folders/1dtYmZiftruQ7B2PQ8fo44wguCZ0eSzAd?usp=sharing) |
 | Barlow Twins | ResNet18 |  1000  |  :x: |      92.10     |     99.73      | [:link:](https://drive.google.com/drive/folders/1L5RAM3lCSViD2zEqLtC-GQKVw6mxtxJ_?usp=sharing) |
 | BYOL         | ResNet18 |  1000  |  :x: |      92.58     |     99.79      | [:link:](https://drive.google.com/drive/folders/1KxeYAEE7Ev9kdFFhXWkPZhG-ya3_UwGP?usp=sharing) |
 |DeepCluster V2| ResNet18 |  1000  |  :x: |      88.85     |     99.58      | [:link:](https://drive.google.com/drive/folders/1tkEbiDQ38vZaQUsT6_vEpxbDxSUAGwF-?usp=sharing) |
@@ -237,6 +239,7 @@ All pretrained models avaiable can be downloaded directly via the tables below o
 
 | Method       | Backbone | Epochs | Dali | Acc@1 | Acc@5 | Checkpoint |
 |--------------|:--------:|:------:|:----:|:--------------:|:--------------:|:----------:|
+| All4One      | ResNet18 |  1000  |  :x: |      72.17     |     93.35      | [:link:](https://drive.google.com/drive/folders/1oQcC80XPr-Wxhjs-PEqD_8VhUa_izqeZ?usp=sharing) |
 | Barlow Twins | ResNet18 |  1000  |  :x: |      70.90     |     91.91      | [:link:](https://drive.google.com/drive/folders/1hDLSApF3zSMAKco1Ck4DMjyNxhsIR2yq?usp=sharing) |
 | BYOL         | ResNet18 |  1000  |  :x: |      70.46     |     91.96      | [:link:](https://drive.google.com/drive/folders/1hwsEdsfsUulD2tAwa4epKK9pkSuvFv6m?usp=sharing) |
 |DeepCluster V2| ResNet18 |  1000  |  :x: |      63.61     |     88.09      | [:link:](https://drive.google.com/drive/folders/1gAKyMz41mvGh1BBOYdc_xu6JPSkKlWqK?usp=sharing) |
@@ -257,6 +260,7 @@ All pretrained models avaiable can be downloaded directly via the tables below o
 
 | Method                  | Backbone | Epochs |        Dali        | Acc@1 (online) | Acc@1 (offline) | Acc@5 (online) | Acc@5 (offline) | Checkpoint |
 |-------------------------|:--------:|:------:|:------------------:|:--------------:|:---------------:|:--------------:|:---------------:|:----------:|
+| All4One                 | ResNet18 |   400  | :heavy_check_mark: |      81.93     |     -       |      96.23     |      -      | [:link:](https://drive.google.com/drive/folders/1bJCRLP5Rz_JEylNq9C4sY3ccYZSchUGR?usp=sharing) |
 | Barlow Twins :rocket:   | ResNet18 |   400  | :heavy_check_mark: |      80.38     |     80.16       |      95.28     |      95.14      | [:link:](https://drive.google.com/drive/folders/1rj8RbER9E71mBlCHIZEIhKPUFn437D5O?usp=sharing) |
 | BYOL         :rocket:   | ResNet18 |   400  | :heavy_check_mark: |      80.16     |     80.32       |      95.02     |      94.94      | [:link:](https://drive.google.com/drive/folders/1riOLjMawD_znO4HYj8LBN2e1X4jXpDE1?usp=sharing) |
 | DeepCluster V2          | ResNet18 |   400  |         :x:        |      75.36     |     75.4        |      93.22     |      93.10      | [:link:](https://drive.google.com/drive/folders/1d5jPuavrQ7lMlQZn5m2KnN5sPMGhHFo8?usp=sharing) |

docs/source/index.rst

@@ -63,6 +63,7 @@ While the library is self contained, it is possible to use the models outside of
 
    solo/methods/base
    solo/methods/linear
+   solo/methods/all4one
    solo/methods/barlow
    solo/methods/byol
    solo/methods/deepclusterv2

docs/source/solo/methods/all4one.rst

@@ -0,0 +1,48 @@
+All4One
+======
+
+.. automethod:: solo.methods.all4one.All4One.__init__
+   :noindex:
+
+
+add_model_specific_args
+~~~~~~~~~~~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.add_model_specific_args
+   :noindex:
+
+learnable_params
+~~~~~~~~~~~~~~~~
+.. autoattribute:: solo.methods.all4one.All4One.learnable_params
+   :noindex:
+
+dequeue_and_enqueue
+~~~~~~~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.dequeue_and_enqueue
+   :noindex:
+
+find_nn
+~~~~~~~~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.find_nn
+   :noindex:
+
+off_diagonal
+~~~~~~~~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.off_diagonal
+   :noindex:
+
+
+save_NN
+~~~~~~~~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.save_NN
+   :noindex:
+
+
+forward
+~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.forward
+   :noindex:
+
+training_step
+~~~~~~~~~~~~~
+.. automethod:: solo.methods.all4one.All4One.training_step
+   :noindex:

docs/source/solo/utils.rst

@@ -158,3 +158,103 @@ Whitening
 
 .. automethod:: solo.utils.whitening.Whitening2d.__init__
    :noindex:
+
+
+PositionalEncoding1D
+---------------------
+:class:`PositionalEncoding1D` applies positional encoding to the last dimension of a 3D tensor.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding1D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding1D.forward
+   :noindex:
+
+PositionalEncodingPermute1D
+---------------------------
+:class:`PositionalEncodingPermute1D` permutes the input tensor and applies 1D positional encoding.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute1D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute1D.forward
+   :noindex:
+
+PositionalEncoding2D
+---------------------
+:class:`PositionalEncoding2D` applies positional encoding to the last two dimensions of a 4D tensor.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding2D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding2D.forward
+   :noindex:
+
+PositionalEncodingPermute2D
+---------------------------
+:class:`PositionalEncodingPermute2D` permutes the input tensor and applies 2D positional encoding.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute2D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute2D.forward
+   :noindex:
+
+PositionalEncoding3D
+---------------------
+:class:`PositionalEncoding3D` applies positional encoding to the last three dimensions of a 5D tensor.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding3D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncoding3D.forward
+   :noindex:
+
+PositionalEncodingPermute3D
+---------------------------
+:class:`PositionalEncodingPermute3D` permutes the input tensor and applies 3D positional encoding.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute3D.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.PositionalEncodingPermute3D.forward
+   :noindex:
+
+Summer
+------
+:class:`Summer` adds positional encoding to the original tensor.
+
+__init__
+~~~~~~~~
+.. automethod:: solo.utils.positional_encoding.Summer.__init__
+   :noindex:
+
+forward
+~~~~~~~
+.. automethod:: solo.utils.positional_encoding.Summer.forward
+   :noindex:
+

scripts/pretrain/cifar/all4one.yaml

@@ -0,0 +1,58 @@
+defaults:
+  - _self_
+  - augmentations: asymmetric.yaml
+  - wandb: private.yaml
+  - override hydra/hydra_logging: disabled
+  - override hydra/job_logging: disabled
+
+# disable hydra outputs
+hydra:
+  output_subdir: null
+  run:
+    dir: .
+
+name: "All4One-cifar100" # change here for cifar10
+method: "all4one"
+backbone:
+  name: "resnet18"
+method_kwargs:
+  temperature: 0.2
+  proj_hidden_dim: 2048
+  pred_hidden_dim: 4096
+  proj_output_dim: 256
+  queue_size: 98304
+momentum:
+  base_tau: 0.99
+  final_tau: 1.0
+data:
+  dataset: cifar100 # change here for cifar10
+  train_path: "./datasets/"
+  val_path: "./datasets/"
+  format: "image_folder" 
+  num_workers: 4
+optimizer:
+  name: "lars"
+  batch_size: 256
+  lr: 1.0
+  classifier_lr: 0.1
+  weight_decay: 1e-5
+  kwargs:
+    clip_lr: True
+    eta: 0.02
+    exclude_bias_n_norm: True
+scheduler:
+  name: "warmup_cosine"
+checkpoint:
+  enabled: True
+  dir: "trained_models"
+  frequency: 1
+auto_resume:
+  enabled: False
+
+# overwrite PL stuff
+max_epochs: 1000
+devices: [0]
+sync_batchnorm: True
+accelerator: "gpu"
+strategy: "ddp"
+precision: 16-mixed

scripts/pretrain/imagenet-100/all4one.yml

@@ -0,0 +1,55 @@
+defaults:
+  - _self_
+  - augmentations: asymmetric.yaml
+  - wandb: private.yaml
+  - override hydra/hydra_logging: disabled
+  - override hydra/job_logging: disabled
+
+# disable hydra outputs
+hydra:
+  output_subdir: null
+  run:
+    dir: .
+
+name: "all4one-imagenet100"
+method: "all4one"
+backbone:
+  name: "resnet18"
+method_kwargs:
+  temperature: 0.2
+  proj_hidden_dim: 2048
+  pred_hidden_dim: 4096
+  proj_output_dim: 256
+  queue_size: 98340
+data:
+  dataset: imagenet100
+  train_path: "./datasets/imagenet-100/train"
+  val_path: "./datasets/imagenet-100/val"
+  format: "dali"
+  num_workers: 4
+optimizer:
+  name: "lars"
+  batch_size: 128
+  lr: 1.0
+  classifier_lr: 0.1
+  weight_decay: 1e-5
+  kwargs:
+    clip_lr: True
+    eta: 0.02
+    exclude_bias_n_norm: True
+scheduler:
+  name: "warmup_cosine"
+checkpoint:
+  enabled: True
+  dir: "trained_models"
+  frequency: 1
+auto_resume:
+  enabled: True
+
+# overwrite PL stuff
+max_epochs: 400
+devices: [0, 1]
+sync_batchnorm: True
+accelerator: "gpu"
+strategy: "ddp"
+precision: 16-mixed

solo/methods/__init__.py

@@ -37,6 +37,8 @@
 from solo.methods.vibcreg import VIbCReg
 from solo.methods.vicreg import VICReg
 from solo.methods.wmse import WMSE
+from solo.methods.all4one import All4One
+
 
 METHODS = {
     # base classes
@@ -61,6 +63,7 @@
     "vibcreg": VIbCReg,
     "vicreg": VICReg,
     "wmse": WMSE,
+    "all4one": All4One,
 }
 __all__ = [
     "BarlowTwins",
@@ -83,4 +86,5 @@
     "VIbCReg",
     "VICReg",
     "WMSE",
+    "All4One",
 ]