# ruff: noqa: F405 """Tests for GPU crash scenarios using AMD assembly to trigger invalid operations. These tests intentionally cause GPU faults to verify error handling. Run with: DEV=AMD python -m pytest test/external/external_test_gpu_crash.py -v """ import unittest, re, importlib from tinygrad import Device, UOp, dtypes from tinygrad.engine.realize import run_linear from tinygrad.uop.ops import Ops, KernelInfo from tinygrad.renderer.amd.dsl import s, v, Inst, NULL RDNA3_CDNA3_MAP = {"v_mov_b32_e32": "v_mov_b32_e32", "s_mov_b32": "s_mov_b32", "s_waitcnt": "s_waitcnt", "s_endpgm": "s_endpgm", "global_load_b32": "global_load_dword", "global_store_b32": "global_store_dword", "global_atomic_add_u32": "global_atomic_add", "flat_load_b32": "flat_load_dword", "flat_store_b32": "flat_store_dword", "flat_atomic_add_u32": "flat_atomic_add", "s_load_b32": "s_load_dword"} @unittest.skipIf(Device.DEFAULT != "AMD", "AMD required") class TestGPUCrash(unittest.TestCase): @classmethod def setUpClass(cls): cls.dev = Device["AMD"] cls.is_cdna = cls.dev.target[0] < 10 ins = importlib.import_module('tinygrad.runtime.autogen.amd.' + ('cdna' if cls.is_cdna else 'rdna3') + '.ins') for rdna3_name, cdna3_name in RDNA3_CDNA3_MAP.items(): setattr(cls, rdna3_name, getattr(ins, cdna3_name if cls.is_cdna else rdna3_name)) def setUp(self): # Verify device works before each test from tinygrad import Tensor try: t = Tensor([1.0, 2.0], device="AMD").realize() assert (t + 1).numpy().tolist() == [2.0, 3.0] except Exception: self.fail("Device not working before test") def _run_insts(self, insts: list[Inst]): buf = UOp.new_buffer("AMD", 64, dtypes.uint8) sink = UOp.sink(UOp.param(0, dtypes.uint8, (64,), device="AMD"), UOp.special(1, "lidx0"), arg=KernelInfo("test")) prg = UOp(Ops.PROGRAM, src=(sink, UOp(Ops.LINEAR, src=tuple(UOp(Ops.INS, arg=i) for i in insts)))) run_linear(UOp(Ops.LINEAR, src=(prg.call(buf),)), wait=True) def _assert_gpu_fault(self, func): """Assert that func raises a RuntimeError indicating a GPU fault (not a setup error).""" with self.assertRaises(RuntimeError) as cm: func() err_msg = str(cm.exception).lower() # Verify it's a GPU fault, not a setup/device initialization error self.assertTrue( re.search(r'fault|hang|timeout|illegal|memviol', err_msg), f"Expected GPU fault error, got: {cm.exception}" ) class TestOutOfBoundsMemoryAccess(TestGPUCrash): """Tests for out-of-bounds memory accesses.""" def test_global_load_null_ptr(self): """Global load from NULL pointer.""" insts = [self.v_mov_b32_e32(v[0], 0), self.v_mov_b32_e32(v[1], 0), self.global_load_b32(v[2], addr=v[0:1], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_global_store_null_ptr(self): """Global store to NULL pointer.""" insts = [self.v_mov_b32_e32(v[0], 0), self.v_mov_b32_e32(v[1], 0), self.v_mov_b32_e32(v[2], 0xDEADBEEF), self.global_store_b32(addr=v[0:1], data=v[2], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_global_load_unmapped_high_address(self): """Global load from high unmapped address (0xDEAD00000000).""" insts = [self.v_mov_b32_e32(v[0], 0x00000000), self.v_mov_b32_e32(v[1], 0xDEAD), self.global_load_b32(v[2], addr=v[0:1], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_global_store_unmapped_high_address(self): """Global store to high unmapped address.""" insts = [self.v_mov_b32_e32(v[0], 0x00000000), self.v_mov_b32_e32(v[1], 0xDEAD), self.v_mov_b32_e32(v[2], 0x12345678), self.global_store_b32(addr=v[0:1], data=v[2], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_global_atomic_unmapped(self): """Atomic operation on unmapped memory.""" insts = [self.v_mov_b32_e32(v[0], 0xBEEF0000), self.v_mov_b32_e32(v[1], 0xDEAD), self.v_mov_b32_e32(v[2], 1), self.global_atomic_add_u32(addr=v[0:1], data=v[2], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) class TestSMEMFaults(TestGPUCrash): """Tests for scalar memory (SMEM) faults.""" def test_smem_load_null(self): """SMEM load from NULL base.""" insts = [self.s_mov_b32(s[2], 0), self.s_mov_b32(s[3], 0), self.s_load_b32(s[4], s[2:3], 0, soffset=NULL), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_smem_load_unmapped(self): """SMEM load from unmapped address.""" insts = [self.s_mov_b32(s[2], 0xBEEF0000), self.s_mov_b32(s[3], 0xDEAD), self.s_load_b32(s[4], s[2:3], 0, soffset=NULL), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) class TestFlatMemoryFaults(TestGPUCrash): """Tests for FLAT memory instruction faults.""" def test_flat_load_null(self): """FLAT load from NULL address.""" insts = [self.v_mov_b32_e32(v[0], 0), self.v_mov_b32_e32(v[1], 0), self.flat_load_b32(v[2], addr=v[0:1], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_flat_store_null(self): """FLAT store to NULL address.""" insts = [self.v_mov_b32_e32(v[0], 0), self.v_mov_b32_e32(v[1], 0), self.v_mov_b32_e32(v[2], 0xDEADBEEF), self.flat_store_b32(addr=v[0:1], data=v[2], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) def test_flat_atomic_null(self): """FLAT atomic on NULL address.""" insts = [self.v_mov_b32_e32(v[0], 0), self.v_mov_b32_e32(v[1], 0), self.v_mov_b32_e32(v[2], 1), self.flat_atomic_add_u32(addr=v[0:1], data=v[2], saddr=NULL, offset=0), self.s_waitcnt(0), self.s_endpgm()] self._assert_gpu_fault(lambda: self._run_insts(insts)) if __name__ == "__main__": unittest.main()