Fix numpy issue libstdc++.so.6 not found (pytorch#3080)

Summary:
X-link: facebookresearch/FBGEMM#175

Pull Request resolved: pytorch#3080

`numpy` package on `conda-forge` causes error:
```
/lib64/libstdc++.so.6: version `CXXABI_1.3.9' not found
```
Remove installation from `conda` and let it be installed by `pip`.
https://github.com/pytorch/FBGEMM/actions/runs/10712252806/job/29702380694

Full error below:
```
Please note and check the following:

  * The Python version is: Python3.9 from "/__w/_temp/conda_environment_10708405243/bin/python"
  * The NumPy version is: "2.0.0"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: /lib64/libstdc++.so.6: version `CXXABI_1.3.9' not found (required by /__w/_temp/conda_environment_10708405243/lib/python3.9/site-packages/numpy/_core/_multiarray_umath.cpython-39-x86_64-linux-gnu.so)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/__w/FBGEMM/FBGEMM/pytorch/FBGEMM/fbgemm_gpu/setup.py", line 21, in <module>
    import torch
  File "/__w/_temp/conda_environment_10708405243/lib/python3.9/site-packages/torch/__init__.py", line 1707, in <module>
    from torch import storage as storage  # usort: skip
  File "/__w/_temp/conda_environment_10708405243/lib/python3.9/site-packages/torch/storage.py", line 23, in <module>
    import numpy as np
  File "/__w/_temp/conda_environment_10708405243/lib/python3.9/site-packages/numpy/__init__.py", line 119, in <module>
    raise ImportError(msg) from e
ImportError: Error importing numpy: you should not try to import numpy from
        its source directory; please exit the numpy source tree, and relaunch
        your python interpreter from there.
```

https://github.com/pytorch/FBGEMM/actions/runs/10708405243/job/29690649284

Reviewed By: q10, sryap

Differential Revision: D62210034

fbshipit-source-id: 447fe0b53843bb01779a335b8c13cca7eb42d0ae

.github/scripts/fbgemm_gpu_build.bash

@@ -375,8 +375,12 @@ __build_fbgemm_gpu_common_pre_steps () {
   # permit for this
   __build_fbgemm_gpu_set_run_multicore
 
+  # Check LD_LIBRARY_PATH for numpy
+  echo "[CHECK] LD_LIBRARY_PATH = ${LD_LIBRARY_PATH}"
+
   echo "[BUILD] Running pre-build cleanups ..."
   print_exec rm -rf dist
+
   # shellcheck disable=SC2086
   print_exec conda run --no-capture-output ${env_prefix} python setup.py clean
 

.github/scripts/utils_build.bash

@@ -65,6 +65,17 @@ __conda_install_glibc () {
   echo "[INSTALL] Installing GLIBC (architecture = ${archname}) ..."
   # shellcheck disable=SC2086
   (exec_with_retries 3 conda install ${env_prefix} -c conda-forge -y "sysroot_linux-${archname}"=2.17) || return 1
+
+  echo "[CHECK] LD_LIBRARY_PATH = ${LD_LIBRARY_PATH}"
+  # Ensure libstdc++.so.6 is found
+  # shellcheck disable=SC2153
+  if [ "${CONDA_PREFIX}" == '' ]; then
+    echo "[CHECK] CONDA_PREFIX is not set."
+    (test_filepath "${env_name}" 'libstdc++.so.6') || return 1
+  else
+    (test_filepath "${CONDA_PREFIX}" 'libstdc++.so.6') || return 1
+  fi
+
 }
 
 __set_glibcxx_preload () {
@@ -285,7 +296,6 @@ install_build_tools () {
     make \
     ncurses \
     ninja \
-    numpy \
     openblas \
     scikit-build \
     wheel) || return 1
@@ -305,7 +315,7 @@ install_build_tools () {
   (test_binpath "${env_name}" ninja) || return 1
 
   # Check Python packages are importable
-  local import_tests=( click hypothesis jinja2 numpy skbuild wheel )
+  local import_tests=( click hypothesis jinja2 skbuild wheel )
   for p in "${import_tests[@]}"; do
     (test_python_import_package "${env_name}" "${p}") || return 1
   done

fbgemm_gpu/requirements.txt

@@ -17,7 +17,7 @@ hypothesis
 jinja2
 mpmath==1.3.0
 ninja
-numpy
+numpy>=2.0.2
 pyre-extensions
 scikit-build
 setuptools