Cuda Index Width | Agent Skills Atlas

About this skill

Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. Use when fixing large-tensor indexing overflows, deciding whether to use int64t, canUse32BitIndexMath, CUDAKERNELLOOPTYPE, or ATDISPATCHINDEXTYPES, and when considering binary-size or performance impact of index-type templating.

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Original listing metadata

Original name

cuda-index-width

Original description

Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. Use when fixing large-tensor indexing overflows, deciding whether to use int64_t, canUse32BitIndexMath, CUDA_KERNEL_LOOP_TYPE, or AT_DISPATCH_INDEX_TYPES, and when considering binary-size or performance impact of index-type templating.

About this listing

Category: General
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.