Centralize cuda_arch capability definition

[Copilot]

Wait for:

• feat: build arrow with cuda for eic_cuda #199

cuda_arch=75 was duplicated across 5 package specs in cuda/spack.yaml and tf/spack.yaml, making it hard to retarget GPU architecture.

Changes

• spack-environment/packages.yaml: Added cuda_arch=75 as a conditional requirement in packages: all: require with when: '+cuda', so it applies to all CUDA-enabled packages without affecting CPU-only packages.
• cuda/spack.yaml and tf/spack.yaml: Drop inline cuda_arch=75 from acts, arrow, celeritas, py-torch, and py-tensorflow specs.

# spack-environment/packages.yaml
packages:
  all:
    require:
    - when: '+cuda'
      any_of: [cuda_arch=75, '@:']

To target a different GPU architecture (currently Compute Capability 7.5 / Turing: T4, RTX 2xxx, Quadro RTX), change cuda_arch=75 in this single location.

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[wdconinc]

Looks sensible. Maybe there's a risk this will enable cuda_arch and therefore +cuda for packages where we currently don't explicitly enable +cuda, but would that be a bad thing?

[Copilot]

Pull request overview

This PR centralizes the CUDA compute capability setting for the Spack CUDA-related environments by introducing a shared cuda_arch.yaml include and removing per-spec cuda_arch=75 pins.

Changes:

• Add a new spack-environment/cuda_arch.yaml and include it from CUDA/TensorFlow environments.
• Remove explicit cuda_arch=75 from CUDA-enabled specs in spack-environment/cuda/spack.yaml.
• Remove explicit cuda_arch=75 from the TensorFlow CUDA spec in spack-environment/tf/spack.yaml.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
spack-environment/tf/spack.yaml	Includes centralized CUDA arch config; drops per-spec cuda_arch=75 on TensorFlow.
spack-environment/cuda/spack.yaml	Includes centralized CUDA arch config; drops per-spec cuda_arch=75 on multiple CUDA specs.
spack-environment/cuda_arch.yaml	New shared config intended to define CUDA architecture in one place.

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