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// SPDX-License-Identifier: Apache-2.0
#include "gtest/gtest.h"
#include <chrono>
#include "kompute/Kompute.hpp"
#include "kompute/logger/Logger.hpp"
#include "shaders/Utils.hpp"
TEST(TestAsyncOperations, TestManagerParallelExecution)
{
// This test is built for NVIDIA 1650. It assumes:
// * Queue family 0 and 2 have compute capabilities
// * GPU is able to process parallel shader code across different families
uint32_t size = 10;
uint32_t numParallel = 2;
std::string shader(R"(
#version 450
layout (local_size_x = 1) in;
layout(set = 0, binding = 0) buffer b { float pb[]; };
shared uint sharedTotal[1];
void main() {
uint index = gl_GlobalInvocationID.x;
sharedTotal[0] = 0;
for (int i = 0; i < 100000000; i++)
{
atomicAdd(sharedTotal[0], 1);
}
pb[index] = sharedTotal[0];
}
)");
std::vector<uint32_t> spirv = compileSource(shader);
std::vector<float> data(size, 0.0);
std::vector<float> resultSync(size, 100000000);
std::vector<float> resultAsync(size, 100000000);
kp::Manager mgr;
std::shared_ptr<kp::Sequence> sq = mgr.sequence();
std::vector<std::shared_ptr<kp::Tensor>> inputsSyncB;
std::vector<std::shared_ptr<kp::Algorithm>> algorithms;
for (uint32_t i = 0; i < numParallel; i++) {
inputsSyncB.push_back(mgr.tensor(data));
algorithms.push_back(mgr.algorithm({ inputsSyncB[i] }, spirv));
}
sq->eval<kp::OpTensorSyncDevice>(inputsSyncB);
mgr.sequence()->eval<kp::OpTensorSyncDevice>(inputsSyncB);
auto startSync = std::chrono::high_resolution_clock::now();
for (uint32_t i = 0; i < numParallel; i++) {
sq->eval<kp::OpAlgoDispatch>(algorithms[i]);
}
auto endSync = std::chrono::high_resolution_clock::now();
auto durationSync =
std::chrono::duration_cast<std::chrono::microseconds>(endSync - startSync)
.count();
sq->eval<kp::OpTensorSyncLocal>(inputsSyncB);
for (uint32_t i = 0; i < numParallel; i++) {
EXPECT_EQ(inputsSyncB[i]->vector<float>(), resultSync);
}
kp::Manager mgrAsync(0, { 0, 2 });
std::vector<std::shared_ptr<kp::Tensor>> inputsAsyncB;
std::vector<std::shared_ptr<kp::Algorithm>> algosAsync;
for (uint32_t i = 0; i < numParallel; i++) {
inputsAsyncB.push_back(mgr.tensor(data));
algosAsync.push_back(mgr.algorithm({ inputsAsyncB[i] }, spirv));
}
std::vector<std::shared_ptr<kp::Sequence>> sqs;
for (uint32_t i = 0; i < numParallel; i++) {
sqs.push_back(mgrAsync.sequence(i));
}
auto startAsync = std::chrono::high_resolution_clock::now();
for (uint32_t i = 0; i < numParallel; i++) {
sqs[i]->evalAsync<kp::OpAlgoDispatch>(algosAsync[i]);
}
for (uint32_t i = 0; i < numParallel; i++) {
sqs[i]->evalAwait();
}
auto endAsync = std::chrono::high_resolution_clock::now();
auto durationAsync = std::chrono::duration_cast<std::chrono::microseconds>(
endAsync - startAsync)
.count();
sq->eval<kp::OpTensorSyncLocal>({ inputsAsyncB });
for (uint32_t i = 0; i < numParallel; i++) {
EXPECT_EQ((inputsAsyncB[i]->vector<float>()), resultAsync);
}
// The speedup should be at least 40%
EXPECT_LT(durationAsync, durationSync * 0.6);
}
TEST(TestAsyncOperations, TestManagerAsyncExecution)
{
uint32_t size = 10;
std::string shader(R"(
#version 450
layout (local_size_x = 1) in;
layout(set = 0, binding = 0) buffer b { float pb[]; };
shared uint sharedTotal[1];
void main() {
uint index = gl_GlobalInvocationID.x;
sharedTotal[0] = 0;
for (int i = 0; i < 100000000; i++)
{
atomicAdd(sharedTotal[0], 1);
}
pb[index] = sharedTotal[0];
}
)");
std::vector<uint32_t> spirv = compileSource(shader);
std::vector<float> data(size, 0.0);
std::vector<float> resultAsync(size, 100000000);
kp::Manager mgr;
std::shared_ptr<kp::TensorT<float>> tensorA = mgr.tensor(data);
std::shared_ptr<kp::TensorT<float>> tensorB = mgr.tensor(data);
std::shared_ptr<kp::Sequence> sq1 = mgr.sequence();
std::shared_ptr<kp::Sequence> sq2 = mgr.sequence();
sq1->eval<kp::OpTensorSyncLocal>({ tensorA, tensorB });
std::shared_ptr<kp::Algorithm> algo1 = mgr.algorithm({ tensorA }, spirv);
std::shared_ptr<kp::Algorithm> algo2 = mgr.algorithm({ tensorB }, spirv);
// AMD Drivers in Windows may see an error in this line due to timeout.
// In order to fix this, it requires a change on Windows registries.
// More details on this can be found here:
// https://docs.substance3d.com/spdoc/gpu-drivers-crash-with-long-computations-128745489.html
// Context on solution discussed in github:
// https://github.com/KomputeProject/kompute/issues/196#issuecomment-808866505
sq1->evalAsync<kp::OpAlgoDispatch>(algo1);
sq2->evalAsync<kp::OpAlgoDispatch>(algo2);
sq1->evalAwait();
sq2->evalAwait();
sq1->evalAsync<kp::OpTensorSyncLocal>({ tensorA, tensorB });
sq1->evalAwait();
EXPECT_EQ(tensorA->vector(), resultAsync);
EXPECT_EQ(tensorB->vector(), resultAsync);
}
TEST(TestAsyncOperations, TestManagerAsyncExecutionTimeout)
{
uint32_t size = 10;
std::string shader(R"(
#version 450
layout (local_size_x = 1) in;
layout(set = 0, binding = 0) buffer b { float pb[]; };
shared uint sharedTotal[1];
void main() {
uint index = gl_GlobalInvocationID.x;
sharedTotal[0] = 0;
for (int i = 0; i < 100000000; i++)
{
atomicAdd(sharedTotal[0], 1);
}
pb[index] = sharedTotal[0];
}
)");
std::vector<uint32_t> spirv = compileSource(shader);
std::vector<float> data(size, 0.0);
std::vector<float> resultAsync(size, 100000000);
kp::Manager mgr;
std::shared_ptr<kp::TensorT<float>> tensorA = mgr.tensor(data);
std::shared_ptr<kp::TensorT<float>> tensorB = mgr.tensor(data);
std::shared_ptr<kp::Sequence> sq1 = mgr.sequence();
std::shared_ptr<kp::Sequence> sq2 = mgr.sequence();
sq1->eval<kp::OpTensorSyncLocal>({ tensorA, tensorB });
std::shared_ptr<kp::Algorithm> algo1 = mgr.algorithm({ tensorA }, spirv);
std::shared_ptr<kp::Algorithm> algo2 = mgr.algorithm({ tensorB }, spirv);
auto startSync = std::chrono::high_resolution_clock::now();
// AMD Drivers in Windows may see an error in this line due to timeout.
// In order to fix this, it requires a change on Windows registries.
// More details on this can be found here:
// https://docs.substance3d.com/spdoc/gpu-drivers-crash-with-long-computations-128745489.html
// Context on solution discussed in github:
// https://github.com/KomputeProject/kompute/issues/196#issuecomment-808866505
sq1->evalAsync<kp::OpAlgoDispatch>(algo1);
sq2->evalAsync<kp::OpAlgoDispatch>(algo2);
sq1->evalAwait(1);
sq2->evalAwait(1);
auto endSync = std::chrono::high_resolution_clock::now();
auto duration =
std::chrono::duration_cast<std::chrono::microseconds>(endSync - startSync)
.count();
// The time should several orders of magnitude smaller (in this 100k instead
// of 1m ns)
EXPECT_LT(duration, 100000);
sq1->evalAsync<kp::OpTensorSyncLocal>({ tensorA, tensorB });
sq1->evalAwait();
EXPECT_EQ(tensorA->vector(), resultAsync);
EXPECT_EQ(tensorB->vector(), resultAsync);
}
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