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@futz12 futz12 commented Jan 2, 2026

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@github-actions github-actions bot added the vulkan label Jan 2, 2026
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codecov-commenter commented Jan 2, 2026

Codecov Report

❌ Patch coverage is 94.90446% with 8 lines in your changes missing coverage. Please review.
✅ Project coverage is 95.90%. Comparing base (faea660) to head (499a7e4).

Files with missing lines Patch % Lines
src/layer/vulkan/cumulativesum_vulkan.cpp 94.90% 8 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##           master    #6475      +/-   ##
==========================================
+ Coverage   95.89%   95.90%   +0.01%     
==========================================
  Files         844      845       +1     
  Lines      266044   265932     -112     
==========================================
- Hits       255114   255042      -72     
+ Misses      10930    10890      -40     

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Pull request overview

This PR adds Vulkan GPU shader implementation for the cumulative sum operation, enabling hardware-accelerated prefix sum computation across different tensor dimensions.

Key changes:

  • Implements three-pass algorithm: block-level scan, block sums scan, and offset addition
  • Supports 1D, 2D, and 3D tensors with axis selection
  • Uses Kogge-Stone parallel scan algorithm with 256-element work groups

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 8 comments.

Show a summary per file
File Description
src/layer/vulkan/shader/cumulativesum_blockscan.comp First pass shader that performs prefix scan within 256-element blocks
src/layer/vulkan/shader/cumulativesum_blocksums_scan.comp Second pass shader that scans the block sums to compute offsets
src/layer/vulkan/shader/cumulativesum_addoffset.comp Third pass shader that adds block offsets to complete the cumulative sum
src/layer/vulkan/cumulativesum_vulkan.h Header declaring the Vulkan implementation class with three pipeline stages
src/layer/vulkan/cumulativesum_vulkan.cpp Implementation managing pipeline creation and multi-pass execution strategy

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2 participants