Slim down pytorch-cuda

It should only contain runtime dependencies that PyTorch+domain
libraries depend on, namely:
 - cudart
 - cublas
 - cusparse
 - cufft
 - curand
 - nvtx
 - nvrtc
 - nvjpeg (for TorchVision)

This removes dependencies on NVCC, build/debug tools, etc which are not
needed for running the pytorch

Test Plan:
  `conda create -n tmp -c nvidia -c malfet cuda-toolkit==11.7` and
observe that only relevant packages are installed

Fixes pytorch/pytorch#91334

conda/pytorch-cuda/meta.yaml

@@ -39,31 +39,19 @@ build:
   noarch: generic
 requirements:
   run:
-    - cuda={{ version }}
+    - cuda-libraries {{ cuda_constraints }}
+    - cuda-nvtx {{ cuda_constraints }}
   run_constrained:
-    - cuda-cccl {{ cuda_constraints }}
-    - cuda-command-line-tools {{ cuda_constraints }}
-    - cuda-compiler {{ cuda_constraints }}
     - cuda-cudart {{ cuda_constraints }}
-    - cuda-cudart-dev {{ cuda_constraints }}
-    - cuda-cuobjdump {{ cuda_constraints }}
     - cuda-cupti {{ cuda_constraints }}
-    - cuda-cuxxfilt {{ cuda_constraints }}
-    - cuda-libraries {{ cuda_constraints }}
-    - cuda-nvcc {{ cuda_constraints }}
-    - cuda-nvprune {{ cuda_constraints }}
     - cuda-nvrtc {{ cuda_constraints }}
-    - cuda-nvtx {{ cuda_constraints }}
     - cuda-runtime {{ cuda_constraints }}
-    - cuda-toolkit {{ cuda_constraints }}
-    - cuda-tools {{ cuda_constraints }}
     - libcufft {{ libcufft_constraints }}
     - libcublas {{ libcublas_constraints }}
     - libcusolver {{ libcusolver_constraints }}
     - libcusparse {{ libcusparse_constraints }}
     - libnpp {{ libnpp_constraints }}
     - libnvjpeg {{ libnvjpeg_constraints }}
-  # None, pytorch should depend on pytorch-cuda
 test:
   commands:
     - echo "pytorch-cuda metapackage is created."