Update conda package creation files

conda/README.org

@@ -25,6 +25,29 @@ Check https://download.pytorch.com/whl/torch_stable.html to see all installable
 versions.
 
 
+* How to build locally
+As of 2023-02-23, the most recent version of cudatoolkit-dev on conda-forge is 
+11.6.0. It would not compile, with more recent versions of gcc. Version 11.6.2
+or later would solve the problem, but none of them is available.
+Moreover, PyTorch 1.13 was compiled against cuda 11.2. Thus, we prefer to stick
+to this version for the moment.
+Some of these steps could be automated, but for now they are simple enough.
+
+#+begin_src bash
+conda create -n compile_msd python=3.9 conda-build anaconda-client
+conda activate compile_msd
+conda install cudatoolkit-dev=11.2
+
+export CUDA_HOME=<your_env_path>
+export cudatoolkit=11.2
+export MAX_JOBS=<your_CPU_count>
+export TORCH_CUDA_ARCH_LIST="5.0 6.0 7.0 7.5 8.0 8.6+PTX"
+
+conda build .
+#+end_src
+
+
+
 * How to build using docker
 
 From the project root directory execute:

conda/conda_build_config.yaml

@@ -1,11 +1,12 @@
 c_compiler_version:    # [linux]
-  - 7.3                # [linux]
+  - 9.5                # [linux]
 cxx_compiler_version:  # [linux]
-  - 7.3                # [linux]
+  - 9.5                # [linux]
 pytorch:
-  - 1.8
+  - 1.13
 python:
   - 3.7
   - 3.8
   - 3.9
+  - 3.10
 ccache_method: "mklink"

conda/cuda-10.2.yaml → conda/cuda-11.2.yaml

@@ -1,2 +1,2 @@
 cudatoolkit:
-  - 10.2
+  - 11.2

conda/cuda-11.1.yaml → conda/cuda-11.7.yaml

@@ -1,2 +1,2 @@
 cudatoolkit:
-  - 11.1
+  - 11.7

conda/meta.yaml

@@ -29,6 +29,8 @@ build:
     # Used to increase the number of concurrent compilations in the ninja build
     # step.
     - MAX_JOBS
+    # Used to select the cuda version
+    - cudatoolkit
 
 requirements:
   build: