"""Test Metal code generation on any platform (including Linux). These tests verify that TileLang can compile kernels down to Metal shader source code without requiring a Metal runtime or macOS. """ import tilelang from tilelang import tvm as tvm import tilelang.testing import tilelang.language as T def matmul(M, N, K, block_M, block_N, block_K, dtype=T.float32, accum_dtype=T.float32): @T.prim_func def main( A: T.Tensor((M, K), dtype), B: T.Tensor((K, N), dtype), C: T.Tensor((M, N), dtype), ): with T.Kernel(T.ceildiv(N, block_N), T.ceildiv(M, block_M), threads=128) as (bx, by): A_shared = T.alloc_shared((block_M, block_K), dtype, scope="shared") B_shared = T.alloc_shared((block_K, block_N), dtype, scope="shared") C_local = T.alloc_fragment((block_M, block_N), accum_dtype) T.clear(C_local) for ko in T.Pipelined(T.ceildiv(K, block_K), num_stages=0): T.copy(A[by * block_M, ko * block_K], A_shared, coalesced_width=2) T.copy(B[ko * block_K, bx * block_N], B_shared, coalesced_width=2) for i, j in T.Parallel(block_M, block_N): for k in T.Serial(block_K): C_local[i, j] += A_shared[i, k] * B_shared[k, j] T.copy(C_local, C[by * block_M, bx * block_N], coalesced_width=2) return main def assert_metal_codegen( M, N, K, block_M, block_N, block_K, dtype=T.float32, accum_dtype=T.float32, ): func = matmul(M, N, K, block_M, block_N, block_K, dtype=dtype, accum_dtype=accum_dtype) with tvm.transform.PassContext(), tvm.target.Target("metal"): artifact = tilelang.lower(func, target="metal") src_code = artifact.kernel_source assert src_code is not None assert "metal" in src_code or "kernel void" in src_code def test_metal_codegen_float32(): assert_metal_codegen(1024, 1024, 1024, 16, 16, 16) def test_metal_codegen_float16(): assert_metal_codegen(1024, 1024, 1024, 16, 16, 16, dtype=T.float16) def test_metal_codegen_int32(): assert_metal_codegen(1024, 1024, 1024, 16, 16, 16, dtype=T.int32) if __name__ == "__main__": tilelang.testing.main()