Write. Compile. Run.
GPU Kernels on Apple Metal.

Python-first GPU compute for Apple Silicon. CuTe-style layout algebra. Compiles to Metal.

```bash theme={null} pip install enigma-dsl ```

Install Enigma and run your first kernel end-to-end. Kernel anatomy, layout algebra, ops, and atomics. Complete signatures for `compile()` and `MetalRuntime`.

QUICK LOOK

```python theme={null} import enigma import numpy as np @enigma.kernel def add(A: enigma.f32, B: enigma.f32, C: enigma.f32): tid = enigma.thread_position_in_grid C[tid] = A[tid] + B[tid] compiled = enigma.compile(add) rt = enigma.MetalRuntime() n = 4096 a = np.random.randn(n).astype(np.float32) b = np.random.randn(n).astype(np.float32) raw = rt.execute(compiled, [a, b], output_size=n * 4, grid=(n, 1, 1), threads=(256, 1, 1)) out = np.frombuffer(raw, dtype=np.float32) np.testing.assert_allclose(out, a + b, rtol=1e-5) ```

Compilation pipeline, execution model, and memory model explained. Vector add, parallel reduction, tiled GEMM — runnable end-to-end. Common errors, IR dumps, and Metal source inspection. Track the latest changes to Enigma.

Write. Compile. Run.GPU Kernels on Apple Metal.

Write. Compile. Run.
GPU Kernels on Apple Metal.