Update requirements and setup process to adopt Pytorch 2.0, also upgrading most of the core libraries and refrainig from using setup.py install step (only build)

Author: J. Cappelletto

environment/requirements.txt

@@ -1,10 +1,11 @@
-importlib_metadata>=5.0.0
-numpy>=1.23.4
-pandas>=1.4.3
-Pillow>=9.3.0
-scikit_learn>=1.1.3
-seaborn>=0.12.1
+# python == 3.10
+pandas == 1.5.3
+numpy == 1.24.2
+torch == 2.0.0
+torchvision == 0.15.1
+scikit-learn == 1.2.2
+Pillow == 9.4.0
+matplotlib == 3.7.1
+seaborn == 0.12.2
 setuptools>=65.5.1
-squarify>=0.4.3
-torch>=1.12.1
-torchvision>=0.13.1
+zipp >= 3.15.0

setup.py

@@ -46,17 +46,18 @@ def run_setup():
             ],
         },
 
-        # TODO: need to recreate dep matrix.
-        # Pytorch does not support CUDA 11.5, using older 10.2 for the conda env
+        # TODO: Update dependency matrix for pytorch=2.0
+        # Pytorch now supports more 11.X series of CUDA
         install_requires = [
             "blitz-bayesian-pytorch==0.2.7",
-            "numpy>=1.19.0", # check for update of pandas
-            "pandas>=0.25.3",
-            "torch>=1.7.0",  # check for a newer version of torch, supporting multi-GPU and improved queries on allocated memory
-            "torchvision>=0.8.1",
-            "scikit-learn>=0.23.1", # scikit was bumped to 1.XX series. Maybe worth doing the update with the rest of the packages
-            "Pillow>=9.1.1",
-            "scipy>=1.5.0",
+            # "numpy>=1.19.0", # check for update of pandas
+            # "pandas>=0.25.3",
+            # "torch>=1.7.0",  # check for a newer version of torch, supporting multi-GPU and improved queries on allocated memory
+            # "torchvision>=0.8.1",
+            # "scikit-learn>=0.23.1", # scikit was bumped to 1.XX series. Maybe worth doing the update with the rest of the packages
+            # "Pillow>=9.1.1",
+            # "scipy>=1.5.0",
+            # The rest of the dependencies are installed by $ pip -r requirements.txt
         ]
 )