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fixing maite version

docker/requirements/linux-amd64-py3.11-pytorch-cpu-requirements.txt

@@ -10,6 +10,12 @@ absl-py==2.1.0
     # via tensorboard
 adversarial-robustness-toolbox==1.17.1
     # via dioptra (pyproject.toml)
+aiohttp==3.9.5
+    # via
+    #   datasets
+    #   fsspec
+aiosignal==1.3.1
+    # via aiohttp
 alembic==1.13.1
     # via
     #   dioptra (pyproject.toml)
@@ -23,6 +29,7 @@ async-timeout==4.0.3
     # via dioptra (pyproject.toml)
 attrs==23.2.0
     # via
+    #   aiohttp
     #   jsonschema
     #   referencing
 blinker==1.8.2
@@ -53,6 +60,8 @@ cloudpickle==3.0.0
     #   distributed
     #   mlflow
     #   prefect
+colorama==0.4.6
+    # via pretty-errors
 contourpy==1.2.1
     # via matplotlib
 croniter==2.0.5
@@ -63,6 +72,12 @@ dask==2024.5.0
     # via
     #   distributed
     #   prefect
+datasets==2.19.1
+    # via maite
+dill==0.3.8
+    # via
+    #   datasets
+    #   multiprocess
 distributed==2024.5.0
     # via prefect
 docker==7.0.0
@@ -75,7 +90,10 @@ entrypoints==0.4
     #   mlflow
 filelock==3.14.0
     # via
+    #   datasets
+    #   huggingface-hub
     #   torch
+    #   transformers
     #   triton
 flask==3.0.3
     # via
@@ -104,9 +122,15 @@ flask-sqlalchemy==3.1.1
     #   flask-migrate
 fonttools==4.51.0
     # via matplotlib
-fsspec==2024.3.1
+frozenlist==1.4.1
+    # via
+    #   aiohttp
+    #   aiosignal
+fsspec[http]==2024.3.1
     # via
     #   dask
+    #   datasets
+    #   huggingface-hub
     #   torch
 gitdb==4.0.11
     # via gitpython
@@ -126,8 +150,17 @@ grpcio==1.63.0
     # via tensorboard
 gunicorn==21.2.0
     # via mlflow
+huggingface-hub==0.23.0
+    # via
+    #   datasets
+    #   maite
+    #   timm
+    #   tokenizers
+    #   transformers
 idna==3.7
-    # via requests
+    # via
+    #   requests
+    #   yarl
 imageio==2.34.1
     # via
     #   imgaug
@@ -168,11 +201,13 @@ kiwisolver==1.4.5
     # via matplotlib
 lazy-loader==0.4
     # via scikit-image
+lightning-utilities==0.11.2
+    # via torchmetrics
 locket==1.0.0
     # via
     #   distributed
     #   partd
-maite[all-interop]==0.5.0
+maite[all-interop]==0.4.0
     # via dioptra (pyproject.toml)
 mako==1.3.3
     # via alembic
@@ -214,8 +249,14 @@ msgpack==1.0.8
     # via
     #   distributed
     #   prefect
+multidict==6.0.5
+    # via
+    #   aiohttp
+    #   yarl
 multimethod==1.11.2
     # via dioptra (pyproject.toml)
+multiprocess==0.70.16
+    # via datasets
 mypy-extensions==1.0.0
     # via prefect
 networkx==3.3
@@ -228,6 +269,7 @@ numpy==1.24.0
     # via
     #   adversarial-robustness-toolbox
     #   contourpy
+    #   datasets
     #   dioptra (pyproject.toml)
     #   imageio
     #   imgaug
@@ -251,7 +293,9 @@ numpy==1.24.0
     #   smqtk-image-io
     #   tensorboard
     #   tifffile
+    #   torchmetrics
     #   torchvision
+    #   transformers
 nvidia-cublas-cu12==12.1.3.1
     # via
     #   nvidia-cudnn-cu12
@@ -292,17 +336,23 @@ opencv-python==4.9.0.80
 packaging==24.0
     # via
     #   dask
+    #   datasets
     #   distributed
     #   docker
     #   gunicorn
+    #   huggingface-hub
     #   lazy-loader
+    #   lightning-utilities
     #   marshmallow
     #   matplotlib
     #   mlflow
     #   prefect
     #   scikit-image
+    #   torchmetrics
+    #   transformers
 pandas==2.2.2
     # via
+    #   datasets
     #   dioptra (pyproject.toml)
     #   mlflow
 partd==1.4.2
@@ -323,6 +373,8 @@ pillow==10.3.0
     #   torchvision
 prefect==1.4.1
     # via dioptra (pyproject.toml)
+pretty-errors==1.2.25
+    # via torchmetrics
 protobuf==5.26.1
     # via
     #   mlflow
@@ -333,13 +385,17 @@ psycopg2-binary==2.9.9
     # via dioptra (pyproject.toml)
 pyarrow==15.0.2
     # via
+    #   datasets
     #   dioptra (pyproject.toml)
     #   mlflow
+pyarrow-hotfix==0.6
+    # via datasets
 pybsm==0.2.0
     # via nrtk
 pycocotools==2.0.7
     # via
     #   dioptra (pyproject.toml)
+    #   maite
     #   nrtk
 pygments==2.18.0
     # via rich
@@ -371,10 +427,14 @@ pytz==2024.1
 pyyaml==6.0.1
     # via
     #   dask
+    #   datasets
     #   dioptra (pyproject.toml)
     #   distributed
+    #   huggingface-hub
     #   mlflow
     #   prefect
+    #   timm
+    #   transformers
 querystring-parser==1.2.4
     # via mlflow
 redis==5.0.4
@@ -385,13 +445,18 @@ referencing==0.35.1
     # via
     #   jsonschema
     #   jsonschema-specifications
+regex==2024.4.28
+    # via transformers
 requests==2.31.0
     # via
+    #   datasets
     #   dioptra (pyproject.toml)
     #   docker
+    #   huggingface-hub
     #   mlflow
     #   prefect
     #   smqtk-dataprovider
+    #   transformers
 rich==13.7.1
     # via
     #   dioptra (pyproject.toml)
@@ -404,6 +469,10 @@ rq==1.16.2
     # via dioptra (pyproject.toml)
 s3transfer==0.10.1
     # via boto3
+safetensors==0.4.3
+    # via
+    #   timm
+    #   transformers
 scikit-image==0.23.2
     # via
     #   imgaug
@@ -494,6 +563,10 @@ tifffile==2024.5.3
     # via scikit-image
 time-machine==2.14.1
     # via pendulum
+timm==0.9.16
+    # via maite
+tokenizers==0.19.1
+    # via transformers
 toml==0.10.2
     # via prefect
 tomlkit==0.12.4
@@ -507,27 +580,45 @@ torch==2.2.2
     # via
     #   -r requirements-dev-pytorch.in
     #   maite
+    #   timm
     #   torchaudio
+    #   torchmetrics
     #   torchvision
 torchaudio==2.2.2
     # via -r requirements-dev-pytorch.in
+torcheval==0.0.7
+    # via maite
+torchmetrics==1.4.0
+    # via maite
 torchvision==0.17.2
-    # via -r requirements-dev-pytorch.in
+    # via
+    #   -r requirements-dev-pytorch.in
+    #   maite
+    #   timm
 tornado==6.4
     # via distributed
 tqdm==4.66.4
     # via
     #   adversarial-robustness-toolbox
+    #   datasets
+    #   huggingface-hub
+    #   maite
     #   nrtk
+    #   transformers
+transformers==4.40.2
+    # via maite
 triton==2.2.0
     # via torch
 typing-extensions==4.11.0
     # via
     #   alembic
     #   dioptra (pyproject.toml)
+    #   huggingface-hub
+    #   lightning-utilities
     #   maite
     #   sqlalchemy
     #   torch
+    #   torcheval
 tzdata==2024.1
     # via
     #   pandas
@@ -547,6 +638,10 @@ werkzeug==3.0.3
     #   flask-login
     #   flask-restx
     #   tensorboard
+xxhash==3.4.1
+    # via datasets
+yarl==1.9.4
+    # via aiohttp
 zict==3.0.0
     # via distributed
 zipp==3.18.1