Migration off defaults to conda-forge channel (facebookresearch#4126)

Summary:

Good resource on overriding channels to make sure we aren't using `defaults`:https://stackoverflow.com/questions/67695893/how-do-i-completely-purge-and-disable-the-default-channel-in-anaconda-and-switch

Explanation of changes:
-
- changed to miniforge from miniconda: this ensures we only pull in from conda-defaults when creating the environment
- architecture: ARM64 and aarch64 are the same thing. But there is no miniforge package for ARM64, so we need to make it check for aarch64 instead. However, mac breaks this rule, and does have macOS-arm64! So there is a conditional for mac to use arm64. https://github.com/conda-forge/miniforge/releases/
- mkl 2022.2.1 change: conda-forge and defaults have completely different dependencies. Defaults required intel-openmp, but now on conda-forge, mkl 2023.1 or higher requires llvm-openmp >=14.0.6, but this is incompatible with the pytorch build <2.5 which requires llvm-openmp<14.0. We would need to upgrade Python to 3.12 first, upgrade Pytorch build, then upgrade this mkl. (The meta.yaml changes are the ones that narrow it to 2022.2.1 during `conda build faiss`.) So, this has just been changed to 2022.2.1.
- mkl now requires _openmp_mutex of type "llvm" instead of "gnu": prior non-cuVS builds all used gnu, because intel-openmp from anaconda defaults channel does not require llvm-openmp. Now we need to remove the gnu one which is automatically pulled in during miniconda setup, and only keep the llvm version of _openmp_mutex.
- liblief: The above changes tried to pull in liblief 0.15. This results in an error like `AttributeError: module 'lief._lief.ELF' has no attribute 'ELF_CLASS'`. When I checked passing PR builds on defaults, they use lief 0.12, so I pinned that one.
- gcc_linux-64 =11.2 for faiss-gpu on cudatoolkit-11.2: this build kept trying to reference 11.2 when 14.2 was installed. Current builds still reference 11.2, so I gave up and pinned 11.2 to keep it the same. Moving to 14.2 will take some more investigation.
- conda_build_config.yaml: I removed Python 3.12 because the build fails with the below error. Python 3.12 also doesn't really work (facebookresearch#3936) I think? So I removed it.
```
INTEL MKL ERROR: $PREFIX/lib/python3.12/site-packages/faiss/../../.././libmkl_def.so.2: undefined symbol: mkl_sparse_optimize_bsr_trsm_i8.
Intel MKL FATAL ERROR: Cannot load libmkl_def.so.2.
```
- Note: test_mem_leak.cpp seems flaky. It sometimes fails, then passes with rerun.

Differential Revision: D68043874

.github/actions/build_cmake/action.yml

@@ -23,12 +23,19 @@ runs:
       uses: conda-incubator/setup-miniconda@v3
       with:
         python-version: '3.11'
-        miniconda-version: latest
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to aarch64 if we're on arm64 because there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        architecture: ${{ runner.arch  == 'ARM64' && 'aarch64' || runner.arch }}
     - name: Configure build environment
       shell: bash
       run: |
         # initialize Conda
         conda config --set solver libmamba
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
         conda update -y -q conda
         echo "$CONDA/bin" >> $GITHUB_PATH
 
@@ -43,7 +50,7 @@ runs:
         if [ "${{ runner.arch }}" = "X64" ]; then
           # TODO: merge this with ARM64
           conda install -y -q -c conda-forge gxx_linux-64=14.2 sysroot_linux-64=2.17
-          conda install -y -q mkl=2023 mkl-devel=2023
+          conda install -y -q mkl=2022.2.1 mkl-devel=2022.2.1
         fi
 
         # no CUDA needed for ROCm so skip this
@@ -56,6 +63,7 @@ runs:
         elif [ "${{ inputs.cuvs }}" = "ON" ]; then
           conda install -y -q libcuvs=24.12 'cuda-version>=12.0,<=12.5' cuda-toolkit=12.4.1 gxx_linux-64=12.4 -c rapidsai -c conda-forge
         fi
+
         # install test packages
         if [ "${{ inputs.rocm }}" = "ON" ]; then
           : # skip torch install via conda, we need to install via pip to get
@@ -174,3 +182,8 @@ runs:
       with:
         name: test-results-arch=${{ runner.arch }}-opt=${{ inputs.opt_level }}-gpu=${{ inputs.gpu }}-cuvs=${{ inputs.cuvs }}-rocm=${{ inputs.rocm }}
         path: test-results
+    - name: Check installed packages channel
+      shell: bash
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls

.github/actions/build_conda/action.yml

@@ -26,20 +26,25 @@ runs:
         else
           echo "shell=pwsh" >> "$GITHUB_OUTPUT"
         fi
+        echo "${{ runner.arch }}"
     - name: Setup miniconda
       uses: conda-incubator/setup-miniconda@v3
       with:
         python-version: '3.11'
-        miniconda-version:  latest
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to aarch64 if we're on arm64 because there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        architecture: ${{ (runner.arch  == 'ARM64' && runner.os != 'macOS') && 'aarch64' || runner.arch }}
     - name: Install conda build tools
       shell: ${{ steps.choose_shell.outputs.shell }}
       run: |
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
         conda install -y -q "conda!=24.11.0"
         conda install -y -q "conda-build!=24.11.0"
-    - name: Fix CI failure
-      shell: ${{ steps.choose_shell.outputs.shell }}
-      if: runner.os != 'Windows'
-      run: conda remove conda-anaconda-telemetry
+        conda list --show-channel-urls
     - name: Enable anaconda uploads
       if: inputs.label != ''
       shell: ${{ steps.choose_shell.outputs.shell }}
@@ -94,3 +99,8 @@ runs:
       run: |
         conda build faiss-gpu-cuvs --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
             --user pytorch --label ${{ inputs.label }} -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia
+    - name: Check installed packages channel
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls