derek.holloway
7502bf64a4
CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
742 lines
31 KiB
C++
742 lines
31 KiB
C++
/*
|
|
* Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
|
|
*
|
|
* SPDX-License-Identifier: MIT
|
|
*/
|
|
|
|
// Testcase Description:
|
|
// Verifies working of following Dyanmic Allocations:
|
|
// 1. Dynamic Allocas in kernels,
|
|
// 2. Dynamic Allocas in device functions,
|
|
// 3. Dynamic Allocas with over-alignment,
|
|
// 4. Multiple Dynamic Allocas in a function,
|
|
// 5. Dynamic Allocas in functions with parameter passing
|
|
|
|
#include <hip_test_common.hh>
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Auto-Verification Code
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Auto-verification API
|
|
template <typename T> bool verifyResult(T* output, T* expected, int N) {
|
|
for (int i = 0; i < N; ++i)
|
|
if (expected[i] != output[i]) return false;
|
|
return true;
|
|
}
|
|
|
|
// Host device memory allocator
|
|
enum BufferIndex { align = 0, ret_1, ret_2, ret_3, ret_align, h0, h1, h2, h3, h4, h5, h6, h7 };
|
|
|
|
static std::vector<std::unique_ptr<int[]>> allocate_host_memory(int num_arrays, int num_elements) {
|
|
std::vector<std::unique_ptr<int[]>> buffers(num_arrays);
|
|
|
|
for (auto& buf : buffers) buf = std::make_unique<int[]>(num_elements);
|
|
|
|
for (size_t i = 0; i < num_elements; ++i) {
|
|
buffers[h0][i] = i;
|
|
buffers[h1][i] = num_elements - 1 - i;
|
|
buffers[h2][i] = 5;
|
|
buffers[align][i] = 0;
|
|
}
|
|
|
|
for (size_t i = 0; i < num_elements; ++i) {
|
|
buffers[ret_1][i] = buffers[h0][buffers[h1][i]];
|
|
buffers[ret_2][i] = buffers[h1][buffers[h2][i]];
|
|
buffers[ret_3][i] = buffers[h2][buffers[h0][i]];
|
|
buffers[ret_align][i] = 0;
|
|
}
|
|
return buffers;
|
|
}
|
|
|
|
// Kernels exercising dynamic allocations
|
|
extern "C" __global__ void test_kernel_uniform_dynamic_alloca(int* a, int* b, int N) {
|
|
volatile int* tmp = (int*)__builtin_alloca(N * 4);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_kernel_uniform_dynamic_alloca_over_aligned(int* a, int* b, int N) {
|
|
alignas(1024) volatile int tmp[N];
|
|
volatile int* tmp2 = (int*)__builtin_alloca(20 * 4);
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
tmp2[i] = addr % 1024;
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
b[i] = tmp2[i];
|
|
}
|
|
}
|
|
|
|
static void runKernelUniformDynamicAllocasTest() {
|
|
size_t size = 20 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(20);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(10, 20);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 100;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// kernel uniform dynamic alloca
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_uniform_dynamic_alloca, dim3(1), dim3(1), 0, 0, d1, d2,
|
|
*size_kernel);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h2].get(), d1, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h2].get(), host_memory_arrays[ret_1].get(), 20));
|
|
|
|
// kernel uniform dynamic alloca over-aligned
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_uniform_dynamic_alloca_over_aligned, dim3(1), dim3(1), 0, 0, d1,
|
|
d2, *size_kernel);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h2].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d2, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h2].get(), host_memory_arrays[ret_1].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_align].get(), 20));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
extern "C" __global__ void test_kernel_divergent_dynamic_alloca(int* a, int* b) {
|
|
int N = threadIdx.x + 20;
|
|
volatile int* tmp = (int*)__builtin_alloca(N * 4);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_kernel_divergent_dynamic_alloca_over_aligned(int* a, int* b) {
|
|
int N = threadIdx.x + 20;
|
|
alignas(512) volatile int tmp[N];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
b[i] = addr % 512;
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
}
|
|
}
|
|
|
|
static void runKernelDivergentDynamicAllocasTest() {
|
|
size_t size = 20 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(20);
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(10, 20);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 10;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// kernel divergent dynamic alloca
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_divergent_dynamic_alloca, dim3(1), dim3(1), 0, 0, d1, d2);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h2].get(), d1, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h2].get(), host_memory_arrays[ret_1].get(), 20));
|
|
|
|
// kernel divergent dynamic alloca over aligned
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_divergent_dynamic_alloca_over_aligned, dim3(1), dim3(1), 0, 0, d1,
|
|
d2);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h2].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d2, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h2].get(), host_memory_arrays[ret_1].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_align].get(), 20));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
extern "C" __global__ void test_kernel_multiple_dynamic_alloca(int* a, int* b, int* c, int N) {
|
|
int X = threadIdx.x + 20;
|
|
int Y = threadIdx.x + N;
|
|
volatile int* tmp = (int*)__builtin_alloca(N * 4);
|
|
volatile int* tmp2 = (int*)__builtin_alloca(X * 4);
|
|
volatile int* tmp3 = (int*)__builtin_alloca(Y * 4);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
tmp2[i] = b[c[i]];
|
|
tmp3[i] = c[a[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
b[i] = tmp2[i];
|
|
c[i] = tmp3[i];
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_kernel_multiple_dynamic_alloca_over_aligned(int* a, int* b, int* c,
|
|
int* d, int N) {
|
|
int X = threadIdx.x + 20;
|
|
int Y = threadIdx.x + N;
|
|
alignas(32) volatile int tmp[N];
|
|
alignas(128) volatile int tmp2[X];
|
|
alignas(512) volatile int tmp3[Y];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
uintptr_t addr2 = reinterpret_cast<std::uintptr_t>(tmp2);
|
|
uintptr_t addr3 = reinterpret_cast<std::uintptr_t>(tmp3);
|
|
for (int i = 0; i < N; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
a[i] = tmp[i];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
tmp2[i] = b[c[i]];
|
|
tmp3[i] = c[a[i]];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
b[i] = tmp2[i];
|
|
c[i] = tmp3[i];
|
|
}
|
|
for (int i = 0; i < N; i++) {
|
|
d[i] = (addr % 32) + (addr2 % 128) + (addr3 % 512);
|
|
}
|
|
}
|
|
|
|
static void runKernelMultipleDynamicAllocasTest() {
|
|
size_t size = 20 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(20);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(15, 20);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* d3 = nullptr;
|
|
int* d4 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&d3, size));
|
|
HIP_CHECK(hipMalloc(&d4, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 10;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// kernel multiple dynamic alloca
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_multiple_dynamic_alloca, dim3(1), dim3(1), 0, 0, d1, d2, d3,
|
|
*size_kernel);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_2].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[ret_3].get(), 20));
|
|
|
|
// kernel multiple dynamic alloca over aligned
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
|
|
hipLaunchKernelGGL(test_kernel_multiple_dynamic_alloca_over_aligned, dim3(1), dim3(1), 0, 0, d1,
|
|
d2, d3, d4, *size_kernel);
|
|
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_2].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[ret_3].get(), 20));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 20));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(d3));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
// kernels and device functions exercizing dynamic allocations
|
|
__noinline__ extern "C" __device__ void process_array_with_aligned_32_byte_buffer(int* a, int* b,
|
|
int* c, int* d,
|
|
int X) {
|
|
alignas(32) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < 50; i++) {
|
|
tmp[i] = c[a[i]];
|
|
}
|
|
for (int i = 0; i < 50; i++) {
|
|
c[i] = tmp[i];
|
|
d[i] += addr % 32;
|
|
}
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_array_with_aligned_1024_byte_buffer(int* a, int* b,
|
|
int* c, int* d,
|
|
int X, int N) {
|
|
alignas(1024) volatile int tmp[N];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < 50; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < 50; i++) {
|
|
b[i] = tmp[i];
|
|
d[i] += addr % 1024;
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_multiple_device_functions_nested(int* a, int* b, int* c, int* d,
|
|
int N) {
|
|
int X = threadIdx.x + 50;
|
|
alignas(1024) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
process_array_with_aligned_1024_byte_buffer(a, b, c, d, X, N);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
a[i] = tmp[i];
|
|
d[i] += addr % 1024;
|
|
}
|
|
process_array_with_aligned_32_byte_buffer(a, b, c, d, X);
|
|
}
|
|
|
|
static void runDeviceMultipleDynamicAllocasNestedTest() {
|
|
size_t size = 50 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(50);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(15, 50);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* d3 = nullptr;
|
|
int* d4 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&d3, size));
|
|
HIP_CHECK(hipMalloc(&d4, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 100;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// multiple device functions nested
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d4, host_memory_arrays[align].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
hipLaunchKernelGGL(test_multiple_device_functions_nested, dim3(1), dim3(1), 0, 0, d1, d2, d3, d4,
|
|
*size_kernel);
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[ret_3].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 50));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(d3));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_array_with_nested_1024_byte_alignment(
|
|
int* a, int* b, int* c, int* d, int X, int N) {
|
|
alignas(1024) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
process_array_with_aligned_32_byte_buffer(a, b, c, d, X);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
b[i] = tmp[i];
|
|
d[i] += addr % 1024;
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_multiple_device_functions(int* a, int* b, int* c, int* d, int N) {
|
|
int X = threadIdx.x + 50;
|
|
alignas(1024) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
process_array_with_nested_1024_byte_alignment(a, b, c, d, X, N);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
a[i] = tmp[i];
|
|
d[i] += addr % 1024;
|
|
}
|
|
}
|
|
|
|
static void runDeviceMultipleDynamicAllocasTest() {
|
|
size_t size = 50 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(50);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(15, 50);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* d3 = nullptr;
|
|
int* d4 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&d3, size));
|
|
HIP_CHECK(hipMalloc(&d4, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 100;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// multiple device functions
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d4, host_memory_arrays[align].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
hipLaunchKernelGGL(test_multiple_device_functions, dim3(1), dim3(1), 0, 0, d1, d2, d3, d4,
|
|
*size_kernel);
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[ret_3].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 50));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(d3));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_array_with_unaligned_buffer(
|
|
int* a, int* b, int* c, int X, int a0, int a1, int a2, int a3, int a4, int a5, int a6, int a7,
|
|
int a8, int a9, int a10, int a11, int a12, int a13, int a14, int a15, int a16, int a17, int a18,
|
|
int a19, int a20, int a21, int a22, int a23, int a24, int a25, int a26, int a27, int a28,
|
|
int a29, int a30, int a31, int a32, int a33, int a34, int a35, int a36, int a37, int a38,
|
|
int a39, int a40) {
|
|
int* tmp = (int*)__builtin_alloca(X * 4);
|
|
int sum = 0;
|
|
sum += a0 + a1 + a2 + a3 + a4 + a5 + a6 + a7 + a8 + a9;
|
|
sum += a10 + a11 + a12 + a13 + a14 + a15 + a16 + a17 + a18 + a19;
|
|
sum += a20 + a21 + a22 + a23 + a24 + a25 + a26 + a27 + a28 + a29;
|
|
sum += a30 + a31 + a32 + a33 + a34 + a35 + a36 + a37 + a38 + a39 + a40;
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = c[a[i]] + sum;
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
c[i] = tmp[i];
|
|
}
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_array_with_aligned_64_byte_buffer(int* a, int* b,
|
|
int* c, int* d,
|
|
int X, int N) {
|
|
alignas(64) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
process_array_with_unaligned_buffer(a, b, c, X, a[0], a[1], a[2], a[3], a[4], a[5], a[6], a[7],
|
|
a[8], a[9], a[10], a[11], a[12], a[13], a[14], a[15], a[16],
|
|
a[17], a[18], a[19], a[20], a[21], a[22], a[23], a[24], a[25],
|
|
a[26], a[27], a[28], a[29], a[30], a[31], a[32], a[33], a[34],
|
|
a[35], a[36], a[37], a[38], a[39], a[40]);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
b[i] = tmp[i];
|
|
d[i] += addr % 64;
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_function_calls_parameter_passing(int* a, int* b, int* c, int* d,
|
|
int N) {
|
|
int X = threadIdx.x + 50;
|
|
alignas(32) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
process_array_with_aligned_64_byte_buffer(a, b, c, d, X, N);
|
|
for (int i = 0; i < X; i++) {
|
|
a[i] = tmp[i];
|
|
d[i] += addr % 32;
|
|
}
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_array_with_aligned_128_byte_buffer(
|
|
int* a, int* b, int* c, int* d, int X, int a0, int a1, int a2, int a3, int a4, int a5, int a6,
|
|
int a7, int a8, int a9, int a10, int a11, int a12, int a13, int a14, int a15, int a16, int a17,
|
|
int a18, int a19, int a20, int a21, int a22, int a23, int a24, int a25, int a26, int a27,
|
|
int a28, int a29, int a30, int a31, int a32, int a33, int a34, int a35, int a36, int a37,
|
|
int a38, int a39, int a40) {
|
|
alignas(128) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
int sum = 0;
|
|
sum += a0 + a1 + a2 + a3 + a4 + a5 + a6 + a7 + a8 + a9;
|
|
sum += a10 + a11 + a12 + a13 + a14 + a15 + a16 + a17 + a18 + a19;
|
|
sum += a20 + a21 + a22 + a23 + a24 + a25 + a26 + a27 + a28 + a29;
|
|
sum += a30 + a31 + a32 + a33 + a34 + a35 + a36 + a37 + a38 + a39 + a40;
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = c[a[i]] + sum;
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
c[i] = tmp[i];
|
|
d[i] += addr % 128;
|
|
}
|
|
}
|
|
|
|
__noinline__ extern "C" __device__ void process_nested_dynamic_allocas(int* a, int* b, int* c,
|
|
int* d, int X, int N) {
|
|
alignas(64) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
process_array_with_aligned_128_byte_buffer(
|
|
a, b, c, d, X, a[0], a[1], a[2], a[3], a[4], a[5], a[6], a[7], a[8], a[9], a[10], a[11],
|
|
a[12], a[13], a[14], a[15], a[16], a[17], a[18], a[19], a[20], a[21], a[22], a[23], a[24],
|
|
a[25], a[26], a[27], a[28], a[29], a[30], a[31], a[32], a[33], a[34], a[35], a[36], a[37],
|
|
a[38], a[39], a[40]);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
for (int i = 0; i < X; i++) {
|
|
b[i] = tmp[i];
|
|
d[i] += addr % 32;
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void test_function_calls_parameter_passing_over_aligned(int* a, int* b,
|
|
int* c, int* d,
|
|
int N) {
|
|
int X = threadIdx.x + 50;
|
|
alignas(32) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
process_nested_dynamic_allocas(a, b, c, d, X, N);
|
|
for (int i = 0; i < X; i++) {
|
|
a[i] = tmp[i];
|
|
d[i] += addr % 32;
|
|
}
|
|
}
|
|
|
|
static void runDeviceMultipleDynamicAllocasParameterPassingTest() {
|
|
size_t size = 50 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(50);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(15, 50);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* d3 = nullptr;
|
|
int* d4 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&d3, size));
|
|
HIP_CHECK(hipMalloc(&d4, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 100;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// function calls with parameter passing
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d4, host_memory_arrays[align].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
hipLaunchKernelGGL(test_function_calls_parameter_passing, dim3(1), dim3(1), 0, 0, d1, d2, d3, d4,
|
|
*size_kernel);
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
int sum = 0;
|
|
for (int i = 0; i <= 40; i++) sum += host_memory_arrays[h0][i];
|
|
for (int i = 0; i < 50; i++) host_memory_arrays[h7][i] = host_memory_arrays[ret_3][i] + sum;
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[h7].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 50));
|
|
|
|
// function calls with parameter passing over aligned
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
hipLaunchKernelGGL(test_function_calls_parameter_passing_over_aligned, dim3(1), dim3(1), 0, 0, d1,
|
|
d2, d3, d4, *size_kernel);
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[h7].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 50));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(d3));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
extern "C" __global__ void test_function_calls_parameter_passing_sandwiched(int* a, int* b, int* c,
|
|
int* d, int N) {
|
|
int X = threadIdx.x + 50;
|
|
process_array_with_aligned_128_byte_buffer(
|
|
a, b, c, d, X, a[0], a[1], a[2], a[3], a[4], a[5], a[6], a[7], a[8], a[9], a[10], a[11],
|
|
a[12], a[13], a[14], a[15], a[16], a[17], a[18], a[19], a[20], a[21], a[22], a[23], a[24],
|
|
a[25], a[26], a[27], a[28], a[29], a[30], a[31], a[32], a[33], a[34], a[35], a[36], a[37],
|
|
a[38], a[39], a[40]);
|
|
alignas(32) volatile int tmp[X];
|
|
uintptr_t addr = reinterpret_cast<std::uintptr_t>(tmp);
|
|
for (int i = 0; i < X; i++) {
|
|
tmp[i] = a[b[i]];
|
|
}
|
|
process_array_with_aligned_32_byte_buffer(a, b, c, d, X);
|
|
for (int i = 0; i < X; i++) {
|
|
a[i] = tmp[i];
|
|
d[i] += addr % 32;
|
|
}
|
|
}
|
|
|
|
static void runDeviceMultipleDynamicAllocasParameterPassingSandwichedTest() {
|
|
size_t size = 50 * sizeof(int);
|
|
std::unique_ptr<int> num_elements = std::make_unique<int>(50);
|
|
|
|
// allocate mem for the result on host side
|
|
std::vector<std::unique_ptr<int[]>> host_memory_arrays = allocate_host_memory(15, 50);
|
|
|
|
// allocate device memory for result
|
|
int* d1 = nullptr;
|
|
int* d2 = nullptr;
|
|
int* d3 = nullptr;
|
|
int* d4 = nullptr;
|
|
int* size_kernel;
|
|
HIP_CHECK(hipMalloc(&d1, size));
|
|
HIP_CHECK(hipMalloc(&d2, size));
|
|
HIP_CHECK(hipMalloc(&d3, size));
|
|
HIP_CHECK(hipMalloc(&d4, size));
|
|
HIP_CHECK(hipMalloc(&size_kernel, sizeof(int)));
|
|
size_t stackSize = 10;
|
|
HIP_CHECK(hipDeviceSetLimit(hipLimitStackSize, stackSize));
|
|
|
|
// function calls with parameter passing sandwiched
|
|
HIP_CHECK(hipMemcpy(d1, host_memory_arrays[h0].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d2, host_memory_arrays[h1].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d3, host_memory_arrays[h2].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(d4, host_memory_arrays[align].get(), size, hipMemcpyHostToDevice));
|
|
HIP_CHECK(hipMemcpy(size_kernel, num_elements.get(), sizeof(int), hipMemcpyHostToDevice));
|
|
hipLaunchKernelGGL(test_function_calls_parameter_passing_sandwiched, dim3(1), dim3(1), 0, 0, d1,
|
|
d2, d3, d4, *size_kernel);
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h3].get(), d1, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h4].get(), d2, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h5].get(), d3, size, hipMemcpyDeviceToHost));
|
|
HIP_CHECK(hipMemcpy(host_memory_arrays[h6].get(), d4, size, hipMemcpyDeviceToHost));
|
|
|
|
int sum = 0;
|
|
for (int i = 0; i <= 40; i++) sum += host_memory_arrays[h0][i];
|
|
for (int i = 0; i < 50; i++) host_memory_arrays[h7][i] = host_memory_arrays[ret_3][i] + sum;
|
|
|
|
REQUIRE(verifyResult(host_memory_arrays[h3].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h4].get(), host_memory_arrays[ret_1].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h5].get(), host_memory_arrays[h7].get(), 50));
|
|
REQUIRE(verifyResult(host_memory_arrays[h6].get(), host_memory_arrays[ret_align].get(), 50));
|
|
|
|
HIP_CHECK(hipFree(d1));
|
|
HIP_CHECK(hipFree(d2));
|
|
HIP_CHECK(hipFree(d3));
|
|
HIP_CHECK(hipFree(size_kernel));
|
|
}
|
|
|
|
/*
|
|
These testcases perform the following scenarios of dynamic allocas
|
|
// 1. dyn alloca in kernel - uniform value
|
|
// 2. dyn alloca in kernel - uniform value - over aligned
|
|
// 3. dyn alloca in kernel - divergent value
|
|
// 4. dyn alloca in kernel - divergent value - over aligned
|
|
// 5. multiple dyn alloca in kernel
|
|
// 6. multiple dyn alloca in kernel - over aligned
|
|
// 7. multiple device function calls
|
|
// 8. multiple device function calls nested
|
|
// 9. function calls with parameter passing
|
|
// 10. function calls with parameter passing - over aligned
|
|
// 11. function calls with parameter passing - sandwiched
|
|
*/
|
|
HIP_TEST_CASE(Dynamic_Alloca) {
|
|
SECTION("Kernel Uniform Dynamic Allocas") { runKernelUniformDynamicAllocasTest(); }
|
|
SECTION("Kernel Divergent Dynamic Allocas") { runKernelDivergentDynamicAllocasTest(); }
|
|
SECTION("Kernel Multiple Dynamic Allocas") { runKernelMultipleDynamicAllocasTest(); }
|
|
SECTION("Device Multiple Dynamic Allocas") { runDeviceMultipleDynamicAllocasTest(); }
|
|
SECTION("Device Multiple Dynamic Allocas Nested") { runDeviceMultipleDynamicAllocasNestedTest(); }
|
|
SECTION("Device Multiple Dynamic Allocas Parameter Passing") {
|
|
runDeviceMultipleDynamicAllocasParameterPassingTest();
|
|
}
|
|
SECTION("Device Multiple Dynamic Allocas Parameter Passing Sandwiched") {
|
|
runDeviceMultipleDynamicAllocasParameterPassingSandwichedTest();
|
|
}
|
|
}
|