| 1 | # SPDX-License-Identifier: Apache-2.0 |
| 2 | # SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | """Tests for Helion kernel availability and basic functionality. |
| 4 | |
| 5 | This module demonstrates the pattern for testing optional Helion kernels. |
| 6 | Tests in this directory will be skipped if Helion is not installed. |
| 7 | """ |
| 8 | |
| 9 | import pytest |
| 10 | |
| 11 | from vllm.utils.import_utils import has_helion |
| 12 | |
| 13 | # Skip entire module if helion is not available |
| 14 | if not has_helion(): |
| 15 | pytest.skip( |
| 16 | "Helion is not installed. Install with: pip install vllm[helion]", |
| 17 | allow_module_level=True, |
| 18 | ) |
| 19 | |
| 20 | import helion |
| 21 | import helion.language as hl |
| 22 | import torch |
| 23 | |
| 24 | |
| 25 | def test_helion_kernel_compilation_smoke(): |
| 26 | """Smoke test: compile and run a simple Helion kernel.""" |
| 27 | |
| 28 | @helion.kernel(autotune_effort="none") |
| 29 | def add_kernel(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: |
| 30 | out = torch.empty_like(x) |
| 31 | for tile in hl.tile(x.size()): |
| 32 | out[tile] = x[tile] + y[tile] |
| 33 | return out |
| 34 | |
| 35 | # Create test tensors |
| 36 | x = torch.randn(1024, device="cuda", dtype=torch.float32) |
| 37 | y = torch.randn(1024, device="cuda", dtype=torch.float32) |
| 38 | |
| 39 | # Run the helion kernel |
| 40 | result = add_kernel(x, y) |
| 41 | |
| 42 | # Verify correctness |
| 43 | expected = x + y |
| 44 | assert torch.allclose(result, expected), "Helion kernel output mismatch" |