File: CUDAAssertionsTest_1_var_test.cu

package info (click to toggle)
pytorch-cuda 2.6.0%2Bdfsg-7
  • links: PTS, VCS
  • area: contrib
  • in suites: forky, sid, trixie
  • size: 161,620 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (95 lines) | stat: -rw-r--r-- 3,149 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
#include <gmock/gmock.h>
#include <gtest/gtest.h>

#include <c10/cuda/CUDADeviceAssertion.h>
#include <c10/cuda/CUDAException.h>
#include <c10/cuda/CUDAFunctions.h>
#include <c10/cuda/CUDAStream.h>

#include <chrono>
#include <iostream>
#include <string>
#include <thread>

using ::testing::HasSubstr;

void did_not_fail_diagnostics() {
  std::cerr
      << "c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().enabled_at_runtime = "
      << c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().enabled_at_runtime
      << std::endl;
  std::cerr
      << "c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().enabled_at_compile_time = "
      << c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().enabled_at_compile_time
      << std::endl;
  std::cerr
      << "c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().do_all_devices_support_managed_memory = "
      << c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref()
             .do_all_devices_support_managed_memory
      << std::endl;
}

/**
 * Device kernel that takes a single integer parameter as argument and
 * will always trigger a device side assertion.
 */
__global__ void cuda_always_fail_assertion_kernel(
    const int a,
    TORCH_DSA_KERNEL_ARGS) {
  CUDA_KERNEL_ASSERT2(a != a);
}

/**
 * TEST: Triggering device side assertion on a simple <<<1,1>>> config.
 * kernel used takes only 1 variable as parameter function.
 */
void cuda_device_assertions_1_var_test() {
  const auto stream = c10::cuda::getStreamFromPool();
  TORCH_DSA_KERNEL_LAUNCH(
      cuda_always_fail_assertion_kernel,
      1, /* Blocks */
      1, /* Threads */
      0, /* Shared mem */
      stream, /* Stream */
      1);

  try {
    c10::cuda::device_synchronize();
    did_not_fail_diagnostics();
    throw std::runtime_error("Test didn't fail, but should have.");
  } catch (const c10::Error& err) {
    const auto err_str = std::string(err.what());
    ASSERT_THAT(
        err_str,
        HasSubstr("CUDA device-side assertion failures were found on GPU #0!"));
    ASSERT_THAT(
        err_str, HasSubstr("Thread ID that failed assertion = [0,0,0]"));
    ASSERT_THAT(err_str, HasSubstr("Block ID that failed assertion = [0,0,0]"));
    ASSERT_THAT(err_str, HasSubstr("Device that launched kernel = 0"));
    ASSERT_THAT(
        err_str,
        HasSubstr(
            "Name of kernel launched that led to failure = cuda_always_fail_assertion_kernel"));
    ASSERT_THAT(
        err_str, HasSubstr("File containing kernel launch = " __FILE__));
    ASSERT_THAT(
        err_str,
        HasSubstr(
            "Function containing kernel launch = " +
            std::string(__FUNCTION__)));
    ASSERT_THAT(
        err_str,
        HasSubstr(
            "Stream kernel was launched on = " + std::to_string(stream.id())));
  }
}

TEST(CUDATest, cuda_device_assertions_1_var_test) {
#ifdef TORCH_USE_CUDA_DSA
  c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().enabled_at_runtime = true;
  did_not_fail_diagnostics();
  cuda_device_assertions_1_var_test();
#else
  GTEST_SKIP() << "CUDA device-side assertions (DSA) was not enabled at compile time.";
#endif
}