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ci: deploy dogfood-gate, add CRG tests and benchmarks, fix wellknown-enforcement
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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‎.github/workflows/wellknown-enforcement.yml‎

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[ -f "security.txt" ] && SECTXT="security.txt"
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if [ -z "$SECTXT" ]; then
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echo "::warning::No security.txt found. See https://github.com/{{OWNER}}/well-known-ecosystem"
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echo "::warning::No security.txt found. See https://github.com/hyperpolymath/well-known-ecosystem"
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exit 0
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fi
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if [ -n "$MISSING" ]; then
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echo "::warning::Missing RSR recommended files:$MISSING"
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echo "Reference: https://github.com/{{OWNER}}/well-known-ecosystem/.well-known/"
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echo "Reference: https://github.com/hyperpolymath/well-known-ecosystem/.well-known/"
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else
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echo "✅ RSR well-known compliant"
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fi

‎TEST-NEEDS.md‎

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# TEST-NEEDS: AcceleratorGate.jl
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## CRG Grade: C — ACHIEVED 2026-04-04
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## Current State
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| Category | Count | Details |

‎benches/benchmarks.jl‎

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# SPDX-License-Identifier: MPL-2.0
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# (PMPL-1.0-or-later preferred; MPL-2.0 required for Julia ecosystem)
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# BenchmarkTools benchmarks for AcceleratorGate.jl
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# Measures backend selection, memory tracking, and capability report throughput.
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using BenchmarkTools
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using AcceleratorGate
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# ── Setup ─────────────────────────────────────────────────────────────────────
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# Ensure clean state before benchmarking
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empty!(AcceleratorGate._MEMORY_USAGE)
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empty!(AcceleratorGate._BACKEND_OPS)
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reset_diagnostics!()
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# ── Backend selection benchmarks ──────────────────────────────────────────────
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# Small workload selection (100 element vector)
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println("=== select_backend :matmul (small, n=100) ===")
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@benchmark select_backend(:matmul, 100)
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# Medium workload selection (10_000 elements)
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println("=== select_backend :fft (medium, n=10_000) ===")
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@benchmark select_backend(:fft, 10_000)
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# Large workload selection with exclusions (1_000_000 elements)
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println("=== select_backend :conv (large, n=1_000_000, with exclusions) ===")
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@benchmark select_backend(:conv, 1_000_000; exclude=[CUDABackend, ROCmBackend])
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# ── Memory tracking benchmarks ────────────────────────────────────────────────
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# Small: single allocation + deallocation
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let b = JuliaBackend()
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println("=== memory tracking (small: 1 alloc/dealloc) ===")
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@benchmark begin
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track_allocation!($b, Int64(4096))
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track_deallocation!($b, Int64(4096))
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end
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end
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# Medium: batch allocations across multiple backends
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println("=== memory tracking (medium: 10 allocs, 2 backends) ===")
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let julia_b = JuliaBackend(), tpu_b = TPUBackend(0)
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@benchmark begin
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for _ in 1:5
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track_allocation!($julia_b, Int64(1024))
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track_allocation!($tpu_b, Int64(2048))
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end
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empty!(AcceleratorGate._MEMORY_USAGE)
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end
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end
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# Large: memory report over many backends
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println("=== memory_report() (large: all backends populated) ===")
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let backends = [JuliaBackend(), CUDABackend(0), ROCmBackend(0), TPUBackend(0), NPUBackend(0)]
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for (i, b) in enumerate(backends)
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track_allocation!(b, Int64(i * 1024))
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end
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@benchmark memory_report()
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end
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empty!(AcceleratorGate._MEMORY_USAGE)
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# ── Capability report benchmark ───────────────────────────────────────────────
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println("=== capability_report() ===")
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@benchmark capability_report()
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# ── Operation registry benchmarks ─────────────────────────────────────────────
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println("=== supports_operation (small: 1 op registered) ===")
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let
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empty!(AcceleratorGate._BACKEND_OPS)
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register_operation!(CUDABackend, :matmul)
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@benchmark supports_operation(CUDABackend(0), :matmul)
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end
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println("=== supports_operation (large: 10 ops registered) ===")
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let ops = [:matmul, :fft, :conv, :gemm, :einsum, :pooling, :norm, :softmax, :relu, :dropout]
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empty!(AcceleratorGate._BACKEND_OPS)
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for op in ops
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register_operation!(CUDABackend, op)
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end
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@benchmark supports_operation(CUDABackend(0), :matmul)
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end
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empty!(AcceleratorGate._BACKEND_OPS)

‎test/e2e_test.jl‎

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# SPDX-License-Identifier: MPL-2.0
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# (PMPL-1.0-or-later preferred; MPL-2.0 required for Julia ecosystem)
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# E2E pipeline tests for AcceleratorGate.jl
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# Tests full backend selection, memory tracking, and operation registry workflows.
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using Test
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using AcceleratorGate
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@testset "E2E Pipeline Tests" begin
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@testset "Full pipeline: backend selection and dispatch" begin
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# Start from a clean state with JuliaBackend as default
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set_backend!(JuliaBackend())
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@test current_backend() isa JuliaBackend
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# Register operations on a simulated GPU backend
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empty!(AcceleratorGate._BACKEND_OPS)
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register_operation!(CUDABackend, :matmul)
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register_operation!(CUDABackend, :fft)
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register_operation!(TPUBackend, :einsum)
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# Verify specialties are accessible before selection
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@test is_specialized(CUDABackend(0), :matmul)
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@test is_specialized(TPUBackend(0), :einsum)
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# Without hardware, selection always falls back to Julia
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b = select_backend(:matmul, 2048)
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@test b isa JuliaBackend
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# Use @with_backend macro for a scoped override
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@with_backend CUDABackend(0) begin
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@test current_backend() isa CUDABackend
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@test current_backend().device == 0
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end
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# Scope restored after block
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@test current_backend() isa JuliaBackend
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empty!(AcceleratorGate._BACKEND_OPS)
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end
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@testset "Full pipeline: memory tracking lifecycle" begin
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empty!(AcceleratorGate._MEMORY_USAGE)
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julia_b = JuliaBackend()
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tpu_b = TPUBackend(0)
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# Allocate across two backends
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track_allocation!(julia_b, Int64(4096))
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track_allocation!(julia_b, Int64(8192))
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track_allocation!(tpu_b, Int64(1_000_000))
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@test memory_usage(julia_b) == Int64(12288)
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@test memory_usage(tpu_b) == Int64(1_000_000)
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# Partial deallocations
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track_deallocation!(julia_b, Int64(4096))
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@test memory_usage(julia_b) == Int64(8192)
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# Full memory report
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report = memory_report()
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@test report isa Dict{String, Int64}
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@test report["JuliaBackend"] == Int64(8192)
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@test report["TPUBackend"] == Int64(1_000_000)
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empty!(AcceleratorGate._MEMORY_USAGE)
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end
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@testset "Full pipeline: capability report and diagnostics" begin
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reset_diagnostics!()
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# Record several diagnostic events
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_record_diagnostic!("cuda", "runtime_fallbacks")
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_record_diagnostic!("tpu", "runtime_fallbacks")
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_record_diagnostic!("cuda", "runtime_fallbacks")
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diag = runtime_diagnostics()
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@test diag["backends"]["cuda"]["runtime_fallbacks"] == 2
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@test diag["backends"]["tpu"]["runtime_fallbacks"] == 1
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# Full capability report structure
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report = capability_report()
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@test haskey(report, "generated_at")
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@test haskey(report, "strategy_order")
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@test haskey(report, "backends")
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@test haskey(report, "platform")
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@test length(report["strategy_order"]) == 12
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reset_diagnostics!()
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@test runtime_diagnostics()["backends"]["cuda"]["runtime_fallbacks"] == 0
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end
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@testset "Error handling: invalid backend operations" begin
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# Switching to a non-default backend and back should be safe
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set_backend!(NPUBackend(2))
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@test current_backend() isa NPUBackend
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@test current_backend().device == 2
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set_backend!(JuliaBackend())
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@test current_backend() isa JuliaBackend
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# select_backend with all standard types excluded still returns Julia
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b = select_backend(:fft, 512; exclude=[CUDABackend, ROCmBackend, MetalBackend])
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@test b isa JuliaBackend
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end
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@testset "Round-trip consistency: backend set/get" begin
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original = current_backend()
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for BackendType in [CUDABackend, ROCmBackend, MetalBackend, TPUBackend]
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b = BackendType(0)
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set_backend!(b)
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got = current_backend()
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@test got isa BackendType
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@test got.device == 0
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end
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# Restore original
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set_backend!(JuliaBackend())
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@test current_backend() isa JuliaBackend
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end
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end

‎test/property_test.jl‎

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# SPDX-License-Identifier: MPL-2.0
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# (PMPL-1.0-or-later preferred; MPL-2.0 required for Julia ecosystem)
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# Property-based tests for AcceleratorGate.jl
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# Verifies invariants hold across random inputs and backend configurations.
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using Test
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using AcceleratorGate
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@testset "Property-Based Tests" begin
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@testset "Invariant: memory usage never goes below zero" begin
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for _ in 1:50
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empty!(AcceleratorGate._MEMORY_USAGE)
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b = JuliaBackend()
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alloc = Int64(rand(1:1_000_000))
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dealloc = Int64(rand(1:2_000_000)) # may exceed alloc
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track_allocation!(b, alloc)
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track_deallocation!(b, dealloc)
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@test memory_usage(b) >= Int64(0)
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end
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empty!(AcceleratorGate._MEMORY_USAGE)
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end
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@testset "Invariant: memory usage accumulates correctly" begin
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for _ in 1:50
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empty!(AcceleratorGate._MEMORY_USAGE)
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b = JuliaBackend()
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n = rand(2:10)
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allocs = [Int64(rand(1:100_000)) for _ in 1:n]
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for a in allocs
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track_allocation!(b, a)
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end
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@test memory_usage(b) == sum(allocs)
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end
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empty!(AcceleratorGate._MEMORY_USAGE)
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end
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@testset "Invariant: diagnostic counters are non-negative" begin
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for _ in 1:50
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reset_diagnostics!()
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n = rand(1:20)
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for _ in 1:n
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_record_diagnostic!("cuda", "runtime_fallbacks")
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end
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diag = runtime_diagnostics()
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@test diag["backends"]["cuda"]["runtime_fallbacks"] == n
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@test diag["backends"]["cuda"]["runtime_fallbacks"] >= 0
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end
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reset_diagnostics!()
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end
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@testset "Invariant: select_backend always returns an AbstractBackend" begin
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ops = [:matmul, :fft, :conv, :einsum, :gemm, :inference]
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for _ in 1:50
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op = rand(ops)
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data_size = rand(100:100_000)
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b = select_backend(op, data_size)
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@test b isa AbstractBackend
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end
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end
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@testset "Invariant: @with_backend always restores previous backend" begin
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for _ in 1:50
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set_backend!(JuliaBackend())
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device = rand(0:3)
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@with_backend CUDABackend(device) begin
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@test current_backend() isa CUDABackend
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end
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@test current_backend() isa JuliaBackend
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end
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set_backend!(JuliaBackend())
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end
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@testset "Invariant: capability report has required keys" begin
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required_keys = ["generated_at", "strategy_order", "backends", "platform", "selected_backend"]
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for _ in 1:50
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report = capability_report()
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for k in required_keys
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@test haskey(report, k)
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end
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@test length(report["strategy_order"]) == 12
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end
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end
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end

‎test/runtests.jl‎

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@test b isa JuliaBackend
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end
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end
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include("e2e_test.jl")
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include("property_test.jl")

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