[NVIDIA][Launcher] Ensure device context is valid before calling getPointer

python/test/unit/runtime/test_driver.py

@@ -1,6 +1,9 @@
 import sys
+from concurrent.futures import ThreadPoolExecutor
+import torch
 
 import triton
+import triton.language as tl
 
 
 def test_is_lazy():
@@ -12,3 +15,27 @@ def test_is_lazy():
     assert triton.runtime.driver.active._obj is None
     utils = triton.runtime.driver.active.utils  # noqa: F841
     assert issubclass(triton.runtime.driver.active._obj.__class__, getattr(triton.backends.driver, "DriverBase"))
+
+
+def test_kernel_in_thread(device):
+    # Test calling in a new thread sets a valid device context
+    buf = torch.zeros((38016 * 1024, ), dtype=torch.float32, device=device)
+
+    @triton.jit
+    def _kernel(P, BLOCK: tl.constexpr):
+        pid = tl.program_id(0).to(tl.int64)
+        offset = pid * BLOCK + tl.arange(0, BLOCK)
+
+        p = tl.load(P + offset)
+        tl.store(P + offset, p)
+
+    def call_triton():
+        N = buf.numel()
+        grid = lambda meta: (triton.cdiv(N, meta["BLOCK"]), )
+        _kernel[grid](buf, BLOCK=1024)
+        getattr(torch, device).synchronize()
+
+    call_triton()
+    with ThreadPoolExecutor(1) as pool:
+        future = pool.submit(call_triton)
+        future.result()

third_party/nvidia/backend/driver.py

@@ -212,15 +212,6 @@ def format_of(ty):
 static void _launch(int gridX, int gridY, int gridZ, int num_warps, int num_ctas, int clusterDimX, int clusterDimY, int clusterDimZ, int shared_memory, CUstream stream, CUfunction function, CUdeviceptr global_scratch{', ' + arg_decls if len(arg_decls) > 0 else ''}) {{
   void *params[] = {{ {', '.join(params)} }};
   if (gridX*gridY*gridZ > 0) {{
-    CUcontext pctx;
-    CUDA_CHECK(cuCtxGetCurrent(&pctx));
-    if (!pctx) {{
-      // Ensure device context.
-      CUdevice device;
-      CUDA_CHECK(cuDeviceGet(&device, 0));
-      CUDA_CHECK(cuDevicePrimaryCtxRetain(&pctx, device));
-      CUDA_CHECK(cuCtxSetCurrent(pctx));
-    }}
     if (num_ctas == 1) {{
       CUDA_CHECK(cuLaunchKernel(function, gridX, gridY, gridZ, 32*num_warps, 1, 1, shared_memory, stream, params, 0));
     }} else {{
@@ -288,6 +279,9 @@ def format_of(ty):
         PyErr_Format(PyExc_ValueError,
                      "Pointer argument (at %d) cannot be accessed from Triton (cpu tensor?)", idx);
         ptr_info.valid = false;
+    }} else if (status != CUDA_SUCCESS) {{
+        CUDA_CHECK(status);  // Catch any other cuda API errors
+        ptr_info.valid = false;
     }}
     ptr_info.dev_ptr = dev_ptr;
     Py_DECREF(ret);  // Thanks ChatGPT!
@@ -344,7 +338,22 @@ def format_of(ty):
   return (CUtensorMap*)(ptr_as_uint);
 }}
 
+static void ensureCudaContext() {{
+  CUcontext pctx;
+  CUDA_CHECK(cuCtxGetCurrent(&pctx));
+  if (!pctx) {{
+    // Ensure device context.
+    CUdevice device;
+    CUDA_CHECK(cuDeviceGet(&device, 0));
+    CUDA_CHECK(cuDevicePrimaryCtxRetain(&pctx, device));
+    CUDA_CHECK(cuCtxSetCurrent(pctx));
+  }}
+}}
+
 static PyObject* launch(PyObject* self, PyObject* args) {{
+  // ensure cuda context is valid before calling any CUDA APIs, e.g. before getPointer calls cuPointerGetAttributes
+  ensureCudaContext();
+
   int gridX, gridY, gridZ;
   uint64_t _stream;
   uint64_t _function;