elodin-cranelift
DevelopmentWork with the Cranelift JIT MLIR backend. Use when modifying libs/cranelift-mlir/, adding new StableHLO ops, debugging simulation correctness issues, running the checkpoint diagnostic tool, or working on the pointer-ABI tensor runtime.
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Elodin Cranelift Backend
libs/cranelift-mlir/ compiles StableHLO MLIR to native code via Cranelift JIT — the default CPU backend for Elodin simulations. Deep internals live in ARCHITECTURE.md; profiling is in PERFORMANCE.md.
Default backend
Cranelift is the default (backend="cranelift" in WorldBuilder.run / .build). Override per-run:
ELODIN_BACKEND=jax-cpu python examples/<name>/main.py run # XLA native, reference for correctness
ELODIN_BACKEND=jax-gpu python examples/<name>/main.py run # XLA CUDA
Or in Python:
w.run(system, backend="jax-cpu")
Where things live
| Path | Purpose |
|---|---|
src/ir.rs | Internal IR: Module, FuncDef, Instruction variants |
src/parser.rs | StableHLO text → IR (Winnow parser, child contexts for while/case) |
src/lower.rs | IR → Cranelift JIT. Dual ABI, cross-ABI marshaling, SIMD, slot pooling |
src/tensor_rt.rs | Runtime: broadcast_nd, slice, transpose, reduce, gather_nd, scatter, matmul |
tests/ops.rs | Per-op golden tests, both ABI paths |
tests/checkpoint_test.rs | XLA-vs-Cranelift comparator |
libs/nox-py/src/cranelift_compile.rs | JAX → StableHLO, XLA reference checkpoint |
libs/nox-py/src/cranelift_exec.rs | CraneliftExec tick loop |
libs/nox-py/src/exec.rs | WorldExec enum (dispatches Cranelift vs JAX) |
Everyday commands
Always run inside nix develop.
cargo test -p cranelift-mlir # all unit + golden tests
cargo test -p cranelift-mlir --test ops # per-op only
cargo clippy -p cranelift-mlir -- -Dwarnings
cargo fmt -p cranelift-mlir -- --check
# Full simulation regression (requires `just install` first):
just install
source .venv/bin/activate
ELODIN_BACKEND=cranelift bash scripts/ci/regress.sh --all # every example
ELODIN_BACKEND=cranelift bash scripts/ci/regress.sh ball examples/ball/main.py # one example
ELODIN_BACKEND=cranelift bash scripts/ci/regress.sh --update ball examples/ball/main.py # re-baseline after verifying correctness
Baselines live in scripts/ci/baseline/; tolerances in scripts/ci/baseline/tolerances.json.
Shared Large Constants
Large stablehlo.constant dense<"0x..."> blobs over 1 MB are transparently interned by libs/cranelift-mlir:
- Parser:
src/parser.rsdecodes large hex constants as raw bytes and interns them throughsrc/const_cache.rs. - Cache: content-addressed by element type, byte length, and raw little-endian bytes under
${ELODIN_CACHE_DIR:-~/.cache/elodin/const-cache}. - IR:
ConstantValue::DenseExternalis cheap to clone and carries the cached mapping handle. - Lowering:
src/lower.rsregisters each mapping withJITBuilder::symboland lowers it throughdeclare_data(Linkage::Import), so constants are not copied into the JIT arena. - Lifetime:
CompiledModulemust retain theArc<CachedConst>handles for every imported constant. The JIT symbol stores raw pointers, so dropping the parsed IR module before live execution would otherwise leave dangling mmap pointers. - Concurrent publishing: cache writes must never replace an already-published file. Use a temp file plus no-clobber publish so simultaneous first writers converge on one inode; otherwise one process can map a now-deleted inode and lose page-cache sharing.
- Campaigns:
elodin monte-carlo run ...pins one campaignELODIN_CACHE_DIRacross all workers. Add--memory-probeonly for memory-proof runs; it writesmemory.jsonwith shared-constant PSS evidence without a bespoke runner.
Relevant tests:
cargo test -p cranelift-mlir --test large_constant_cache
cargo test -p cranelift-mlir --test imported_data_arena -- --ignored --nocapture
cargo test -p cranelift-mlir large_external_constant_8d_dynamic_slice
Customer-style checkpoint repro:
ELODIN_CRANELIFT_DEBUG_DIR=/tmp/dbg \
cargo test -p cranelift-mlir --test checkpoint_test --release verify_checkpoint -- --ignored --nocapture
# To hold two verifier processes for mmap/PSS sampling:
ELODIN_CACHE_DIR=/tmp/elodin-const-cache-proof \
ELODIN_CRANELIFT_DEBUG_DIR=/tmp/dbg \
ELODIN_CRANELIFT_CHECKPOINT_HOLD_AFTER_TICK_MS=120000 \
cargo test -p cranelift-mlir --test checkpoint_test --release verify_checkpoint -- --ignored --nocapture
Adding a new op
- IR: add
Instructionvariant insrc/ir.rs - Parser: add arm in
parse_op()insrc/parser.rs - Lowering (scalar): add match arm in
lower_instruction()insrc/lower.rs - Lowering (pointer-ABI): add match arm in
lower_instruction_mem()insrc/lower.rs - Runtime (if N-D): add
tensor_<op>_f64insrc/tensor_rt.rs, register inTensorRtIds - Tests: golden-value tests in
tests/ops.rsexercising bothrun_mlirandrun_mlir_mem cargo test -p cranelift-mlir
The dual-ABI / SIMD / tensor-runtime design constraints each step has to satisfy are documented in ARCHITECTURE.md.
Adding a new simulation example
- Dump MLIR:
ELODIN_BACKEND=cranelift ELODIN_CRANELIFT_DEBUG_DIR=/tmp/dbg python examples/<name>/main.py run - Catalog ops:
python3 libs/cranelift-mlir/scripts/catalog_ops.py /tmp/dbg/stablehlo.mlir(safe on multi-GB files — do NOT grep them) - Copy the MLIR into
testdata/, create an e2e test - Implement any missing ops (see "Adding a new op")
- Regression:
ELODIN_BACKEND=cranelift bash scripts/ci/regress.sh <name> examples/<name>/main.py
Debugging
Simulation produces wrong values
The tick checkpoint diagnostic tool is the workhorse. Full usage and MLIR-bisection workflow in ARCHITECTURE.md — Checkpoint Diagnostic Tool section. Quick commands:
# Capture XLA reference + Cranelift outputs for every tick input:
ELODIN_BACKEND=cranelift ELODIN_CRANELIFT_DEBUG_DIR=/tmp/ckpt \
bash scripts/ci/regress.sh <example> examples/<example>/main.py
# Compare, per output, element-by-element:
ELODIN_CRANELIFT_DEBUG_DIR=/tmp/ckpt \
cargo test -p cranelift-mlir --test checkpoint_test --release -- --ignored --nocapture
Once the diverging output is identified, reduce it to a minimal tests/ops.rs reproducer before fixing.
Simulation crashes (segfault / abort)
- Try
--releasefirst: some JIT paths tripptr::copy_nonoverlappingdebug-mode UB checks. - Stack overflow on complex sims: the checkpoint test pins a 64 MB thread stack; mirror this if reproducing outside the test.
- NULL pointer in JIT code is almost always a cross-ABI marshaling bug.
Compiler says "unsupported instruction" or "unsupported custom_call target"
Follow "Adding a new op".
Environment variables
Only two matter day-to-day:
ELODIN_BACKEND—cranelift(default),jax-cpu,jax-gpu.ELODIN_CRANELIFT_DEBUG_DIR=<dir>— single flag for every diagnostic (profile probes, op-category sampling, tick waveform, instr/fold reports, inliner and slot-pool traces, MLIR dump, first-tick XLA reference checkpoint). Files land flat under<dir>. Zero overhead when unset.
Full outputs and reading guide: PERFORMANCE.md.
Further reading
libs/cranelift-mlir/ARCHITECTURE.md— compilation pipeline, dual ABI, SIMD (LaneRepr), JIT memory layout, tensor runtime, LAPACK via faer, gather patterns, while-loop scoping, checkpoint tool, testing strategy, opportunities.libs/cranelift-mlir/PERFORMANCE.md—ELODIN_CRANELIFT_DEBUG_DIRoutputs, profile report fields, diff + waveform scripts, Tracy workflow.libs/cranelift-mlir/README.md— crate-level quick start.