feat: CUDA kernel guard + ruflo hooks for subagent monitoring
Add scripts/cuda-kernel-guard.sh — catches CPU/host leaks in .cu files: printf, cudaMalloc/Free, host API calls, double-precision math (exp/log instead of expf/logf), assert, file I/O. Filters comments and trailing /* */ annotations. Zero false positives across 38 production kernels. Extend gpu-hotpath-hook.sh to route .cu/.cuh files to the new guard. Configure ruflo hooks in .claude/settings.json: pre-edit context loading, post-edit pattern learning, post-command metrics, session-end persistence. Fires for subagents too via Claude Code hook system. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -1,105 +1,43 @@
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{
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"env": {
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"CLAUDE_FLOW_AUTO_COMMIT": "false",
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"CLAUDE_FLOW_AUTO_PUSH": "false",
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"CLAUDE_FLOW_HOOKS_ENABLED": "true",
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"CLAUDE_FLOW_TELEMETRY_ENABLED": "true",
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"CLAUDE_FLOW_REMOTE_EXECUTION": "true",
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"CLAUDE_FLOW_CHECKPOINTS_ENABLED": "true"
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},
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"permissions": {
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"allow": [
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"Bash(npx claude-flow:*)",
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"Bash(npm run lint)",
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"Bash(npm run test:*)",
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"Bash(npm test:*)",
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"Bash(git status)",
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"Bash(git diff:*)",
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"Bash(git log:*)",
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"Bash(git add:*)",
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"Bash(git commit:*)",
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"Bash(git push)",
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"Bash(git config:*)",
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"Bash(git tag:*)",
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"Bash(git branch:*)",
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"Bash(git checkout:*)",
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"Bash(git stash:*)",
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"Bash(jq:*)",
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"Bash(node:*)",
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"Bash(which:*)",
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"Bash(pwd)",
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"Bash(ls:*)"
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],
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"deny": [
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"Bash(rm -rf /)"
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]
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"CLAUDE_FLOW_HOOKS_ENABLED": "true"
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},
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"hooks": {
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"PreToolUse": [
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{
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"matcher": "Bash",
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"hooks": [
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{
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"type": "command",
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"command": "cat | jq -r '.tool_input.command // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx claude-flow@alpha hooks pre-command --command '{}' --validate-safety true --prepare-resources true 2>/dev/null || true",
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"timeout": 8
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}
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]
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},
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{
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"matcher": "Write|Edit|MultiEdit",
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"hooks": [
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{
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"type": "command",
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"command": "cat | jq -r '.tool_input.file_path // .tool_input.path // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx claude-flow@alpha hooks pre-edit --file '{}' --auto-assign-agents true --load-context true 2>/dev/null || true",
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"timeout": 8
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}
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]
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}
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],
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"PostToolUse": [
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{
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"matcher": "Bash",
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"hooks": [
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{
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"type": "command",
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"command": "cat | jq -r '.tool_input.command // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx claude-flow@alpha hooks post-command --command '{}' --track-metrics true --store-results true 2>/dev/null || true",
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"timeout": 8
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}
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]
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},
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{
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"matcher": "Write|Edit|MultiEdit",
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"hooks": [
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{
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"type": "command",
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"command": "cat | jq -r '.tool_input.file_path // .tool_input.path // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx claude-flow@alpha hooks post-edit --file '{}' --format true --update-memory true 2>/dev/null || true",
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"timeout": 8
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},
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{
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"type": "command",
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"command": "scripts/gpu-hotpath-hook.sh",
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"timeout": 10
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}
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]
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}
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],
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"PreCompact": [
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{
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"matcher": "manual",
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"hooks": [
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},
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{
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"type": "command",
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"command": "/bin/bash -c 'INPUT=$(cat); CUSTOM=$(echo \"$INPUT\" | jq -r \".custom_instructions // \\\"\\\"\"); echo \"🔄 PreCompact Guidance:\"; echo \"📋 IMPORTANT: Review CLAUDE.md in project root for:\"; echo \" • 54 available agents and concurrent usage patterns\"; echo \" • Swarm coordination strategies (hierarchical, mesh, adaptive)\"; echo \" • SPARC methodology workflows with batchtools optimization\"; echo \" • Critical concurrent execution rules (GOLDEN RULE: 1 MESSAGE = ALL OPERATIONS)\"; if [ -n \"$CUSTOM\" ]; then echo \"🎯 Custom compact instructions: $CUSTOM\"; fi; echo \"✅ Ready for compact operation\"'"
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"command": "cat | jq -r '.tool_input.file_path // .tool_input.path // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx ruflo@latest hooks post-edit --file '{}' --format true --update-memory true 2>/dev/null || true",
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"timeout": 8
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}
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]
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},
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{
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"matcher": "auto",
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"matcher": "Bash",
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"hooks": [
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{
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"type": "command",
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"command": "/bin/bash -c 'echo \"🔄 Auto-Compact Guidance (Context Window Full):\"; echo \"📋 CRITICAL: Before compacting, ensure you understand:\"; echo \" • All 54 agents available in .claude/agents/ directory\"; echo \" • Concurrent execution patterns from CLAUDE.md\"; echo \" • Batchtools optimization for 300% performance gains\"; echo \" • Swarm coordination strategies for complex tasks\"; echo \"⚡ Apply GOLDEN RULE: Always batch operations in single messages\"; echo \"✅ Auto-compact proceeding with full agent context\"'"
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"command": "cat | jq -r '.tool_input.command // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx ruflo@latest hooks post-command --command '{}' --track-metrics true 2>/dev/null || true",
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"timeout": 8
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}
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]
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}
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],
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"PreToolUse": [
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{
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"matcher": "Write|Edit|MultiEdit",
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"hooks": [
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{
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"type": "command",
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"command": "cat | jq -r '.tool_input.file_path // .tool_input.path // empty' | tr '\\n' '\\0' | xargs -0 -I {} npx ruflo@latest hooks pre-edit --file '{}' --auto-assign-agents true 2>/dev/null || true",
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"timeout": 8
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}
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]
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}
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@@ -109,16 +47,10 @@
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"hooks": [
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{
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"type": "command",
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"command": "npx claude-flow@alpha hooks session-end --generate-summary true --persist-state true --export-metrics true"
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"command": "npx ruflo@latest hooks session-end --generate-summary true --persist-state true 2>/dev/null || true"
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}
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]
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}
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]
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},
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"includeCoAuthoredBy": true,
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"enabledMcpjsonServers": ["claude-flow", "ruv-swarm"],
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"statusLine": {
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"type": "command",
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"command": ".claude/statusline-command.sh"
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}
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}
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137
scripts/cuda-kernel-guard.sh
Executable file
137
scripts/cuda-kernel-guard.sh
Executable file
@@ -0,0 +1,137 @@
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#!/bin/bash
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# CUDA Kernel Guard — detects CPU/host leaks in .cu kernel files.
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#
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# Production H100 system. CUDA kernels must be pure device code.
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# This guard catches patterns that force CPU synchronization,
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# host memory access, or debug output in production kernels.
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#
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# Usage:
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# scripts/cuda-kernel-guard.sh <file.cu>
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#
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# Exit codes:
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# 0 = clean
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# 1 = violation detected
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#
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# Suppress reviewed lines with: // cuda-ok: <reason>
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set -euo pipefail
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FILE="${1:-}"
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if [ -z "$FILE" ] || [ ! -f "$FILE" ]; then
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exit 0
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fi
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# Only check .cu and .cuh files
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case "$FILE" in
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*.cu|*.cuh) ;;
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*) exit 0 ;;
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esac
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LEAK_PATTERNS=(
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# ─── printf in device code (forces implicit sync, kills perf) ───
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# One printf in a kernel with 1024 threads = 1024 serial host writes.
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'printf\s*\('
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# ─── Host API calls from device code (illegal or sync-forcing) ───
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'cudaMalloc'
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'cudaFree'
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'cudaMemcpy\s*\('
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'cudaMemset\s*\('
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'cudaDeviceSynchronize'
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'cudaStreamSynchronize'
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'cudaEventSynchronize'
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# ─── Host memory access patterns ───
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# malloc/free/new/delete in device code = UB or host fallback
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'\bmalloc\s*\('
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'\bfree\s*\('
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'\bnew\s+\w+[\[\(]'
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'\bdelete\s+\w+'
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# ─── Host function markers in kernel files ───
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# __host__ functions shouldn't be in kernel .cu files (they belong in .rs host code)
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'__host__\s+[^_]'
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# ─── CPU-side file I/O (absolutely forbidden in kernels) ───
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'\bfopen\s*\('
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'\bfwrite\s*\('
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'\bfprintf\s*\('
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'\bstdout\b'
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'\bstderr\b'
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# ─── assert() in device code (triggers host trap, kills kernel) ───
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# Use __trap() or return early instead
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'\bassert\s*\('
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# ─── Double-precision math in f32 kernels (use f suffix) ───
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# exp/log/sin/cos are DOUBLE precision (4x slower on H100 tensor cores).
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# expf/logf/sinf/cosf are single-precision (correct for f32 kernels).
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# __expf/__logf are fast-math (~2 ULP) — optional, not required.
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# Only flag the double-precision versions (no f suffix, not prefixed with __)
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'[^_a-z]\bexp\s*\([^f]'
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'[^_a-z]\blog\s*\([^f]'
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'[^_a-z]\bsin\s*\([^f]'
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'[^_a-z]\bcos\s*\([^f]'
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'[^_a-z]\bsqrt\s*\([^f]'
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)
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# Patterns that are OK (suppress false positives)
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SAFE_PATTERNS=(
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'// cuda-ok:'
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'// debug-only:'
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'#if 0'
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'#ifdef CUDA_DEBUG'
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)
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found=0
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for pattern in "${LEAK_PATTERNS[@]}"; do
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hits=$(grep -nE "$pattern" "$FILE" 2>/dev/null || true)
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# Filter out safe patterns
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for safe in "${SAFE_PATTERNS[@]}"; do
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if [ -n "$hits" ]; then
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hits=$(echo "$hits" | grep -v "$safe" || true)
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fi
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done
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# Filter out comments: full-line (//, /*, *) and trailing /* */ comments
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if [ -n "$hits" ]; then
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hits=$(echo "$hits" | grep -v '[0-9]*:\s*//' \
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| grep -v '[0-9]*:\s*\*' \
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| grep -v '[0-9]*:\s*/\*' \
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|| true)
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# For trailing comments: if the match is ONLY inside /* ... */, skip it
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if [ -n "$hits" ]; then
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hits=$(echo "$hits" | while IFS= read -r line; do
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# Strip trailing /* comment */ from the line, then re-check pattern
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stripped=$(echo "$line" | sed 's|/\*[^*]*\*/||g')
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if echo "$stripped" | grep -qE "$pattern" 2>/dev/null; then
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echo "$line"
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fi
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done || true)
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fi
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fi
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if [ -n "$hits" ]; then
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if [ "$found" -eq 0 ]; then
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echo "CUDA KERNEL LEAK: $FILE"
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found=1
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fi
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echo "$hits" | while IFS= read -r line; do
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echo " $line"
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done
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fi
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done
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if [ "$found" -eq 1 ]; then
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echo ""
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echo "⛔ CPU/host operations detected in CUDA kernel."
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echo " printf → remove or guard with #ifdef CUDA_DEBUG"
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echo " cudaMalloc/Free → pre-allocate in host .rs code"
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echo " sinf/cosf/expf/logf → use __sinf/__cosf/__expf/__logf"
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echo " assert → use __trap() or return"
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exit 1
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fi
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exit 0
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@@ -11,23 +11,35 @@ if [ -z "$FILE" ] || [ ! -f "$FILE" ]; then
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exit 0
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fi
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# Only check Rust files
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# Check Rust and CUDA files
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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case "$FILE" in
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*.rs) ;;
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*.rs)
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GUARD="$SCRIPT_DIR/gpu-hotpath-guard.sh"
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if [ -x "$GUARD" ]; then
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OUTPUT=$("$GUARD" "$FILE" 2>&1) || {
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echo "⛔ GPU HOT-PATH HARD ERROR in $FILE"
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echo "$OUTPUT"
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echo ""
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echo "CPU usage in GPU hot paths is NOT allowed. Fix the code — do not annotate with // gpu-ok:"
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exit 1
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}
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fi
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;;
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*.cu|*.cuh)
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GUARD="$SCRIPT_DIR/cuda-kernel-guard.sh"
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if [ -x "$GUARD" ]; then
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OUTPUT=$("$GUARD" "$FILE" 2>&1) || {
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echo "⛔ CUDA KERNEL HARD ERROR in $FILE"
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echo "$OUTPUT"
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echo ""
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echo "CPU/host operations in CUDA kernels are NOT allowed."
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exit 1
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}
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fi
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;;
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*) exit 0 ;;
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esac
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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GUARD="$SCRIPT_DIR/gpu-hotpath-guard.sh"
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if [ -x "$GUARD" ]; then
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OUTPUT=$("$GUARD" "$FILE" 2>&1) || {
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echo "⛔ GPU HOT-PATH HARD ERROR in $FILE"
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echo "$OUTPUT"
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echo ""
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echo "CPU usage in GPU hot paths is NOT allowed. Fix the code — do not annotate with // gpu-ok:"
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exit 1
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}
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fi
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exit 0
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