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https://github.com/nomic-ai/kompute.git
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111 lines
4.1 KiB
C++
111 lines
4.1 KiB
C++
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#include "gtest/gtest.h"
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#include <chrono>
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#include "kompute/Kompute.hpp"
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TEST(TestAsyncOperations, TestManagerAsync)
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{
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uint32_t size = 100000;
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std::string shader(R"(
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#version 450
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layout (local_size_x = 1) in;
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layout(set = 0, binding = 0) buffer a { float pa[]; };
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layout(set = 0, binding = 1) buffer b { float pb[]; };
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void main() {
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uint index = gl_GlobalInvocationID.x;
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for (int i = 0; i < 100000; i++)
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{
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pa[index] += 1.0;
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}
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pb[index] = pa[index];
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}
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)");
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std::vector<float> data(size, 0.0);
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std::vector<float> resultSync(size, 100000);
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std::vector<float> resultAsync(size, 100000);
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std::shared_ptr<kp::Tensor> tensorSyncA{ new kp::Tensor(data) };
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std::shared_ptr<kp::Tensor> tensorSyncB{ new kp::Tensor(data) };
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std::shared_ptr<kp::Tensor> tensorSyncC{ new kp::Tensor(data) };
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std::shared_ptr<kp::Tensor> tensorSyncD{ new kp::Tensor(data) };
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std::shared_ptr<kp::Tensor> tensorSyncE{ new kp::Tensor(data) };
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std::shared_ptr<kp::Tensor> tensorSyncF{ new kp::Tensor(data) };
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kp::Manager mgr;
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mgr.evalOpDefault<kp::OpTensorCreate>({ tensorSyncA, tensorSyncB, tensorSyncC, tensorSyncD, tensorSyncE, tensorSyncF });
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auto startSync = std::chrono::high_resolution_clock::now();
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mgr.evalOpDefault<kp::OpAlgoBase<>>(
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{ tensorSyncA, tensorSyncB }, std::vector<char>(shader.begin(), shader.end()));
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mgr.evalOpDefault<kp::OpAlgoBase<>>(
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{ tensorSyncC, tensorSyncD }, std::vector<char>(shader.begin(), shader.end()));
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mgr.evalOpDefault<kp::OpAlgoBase<>>(
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{ tensorSyncE, tensorSyncF }, std::vector<char>(shader.begin(), shader.end()));
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mgr.evalOpDefault<kp::OpTensorSyncLocal>({ tensorSyncB, tensorSyncD, tensorSyncF });
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auto endSync = std::chrono::high_resolution_clock::now();
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auto durationSync = std::chrono::duration_cast<std::chrono::microseconds>(endSync - startSync).count();
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EXPECT_EQ(tensorSyncB->data(), resultSync);
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EXPECT_EQ(tensorSyncD->data(), resultSync);
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EXPECT_EQ(tensorSyncF->data(), resultSync);
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//std::shared_ptr<kp::Tensor> tensorAsyncA{ new kp::Tensor(data) };
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//std::shared_ptr<kp::Tensor> tensorAsyncB{ new kp::Tensor(data) };
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//std::shared_ptr<kp::Tensor> tensorAsyncC{ new kp::Tensor(data) };
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//std::shared_ptr<kp::Tensor> tensorAsyncD{ new kp::Tensor(data) };
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//std::shared_ptr<kp::Tensor> tensorAsyncE{ new kp::Tensor(data) };
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//std::shared_ptr<kp::Tensor> tensorAsyncF{ new kp::Tensor(data) };
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//kp::Manager mgrAsync(0, 1);
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//mgrAsync.evalOpDefault<kp::OpTensorCreate>({ tensorAsyncA, tensorAsyncB, tensorAsyncC, tensorAsyncD, tensorAsyncE, tensorAsyncF });
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//mgrAsync.createManagedSequence("async0", 0);
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////mgrAsync.createManagedSequence("async1", 1);
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////mgrAsync.createManagedSequence("async2", 2);
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//auto startAsync = std::chrono::high_resolution_clock::now();
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//mgrAsync.evalOpAsync<kp::OpAlgoBase<>>(
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// { tensorAsyncA, tensorAsyncB }, "async0", std::vector<char>(shader.begin(), shader.end()));
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////mgrAsync.evalOpAsync<kp::OpAlgoBase<>>(
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//// { tensorAsyncC, tensorAsyncD }, "async1", std::vector<char>(shader.begin(), shader.end()));
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////mgrAsync.evalOpAsync<kp::OpAlgoBase<>>(
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//// { tensorAsyncE, tensorAsyncF }, "async2", std::vector<char>(shader.begin(), shader.end()));
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//mgrAsync.evalOpAwait("async0");
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////mgrAsync.evalOpAwait("async1");
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////mgrAsync.evalOpAwait("async2");
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//mgrAsync.evalOpDefault<kp::OpTensorSyncLocal>({ tensorAsyncB });
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////mgrAsync.evalOpDefault<kp::OpTensorSyncLocal>({ tensorAsyncD });
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////mgrAsync.evalOpDefault<kp::OpTensorSyncLocal>({ tensorAsyncF });
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//auto endAsync = std::chrono::high_resolution_clock::now();
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//auto durationAsync = std::chrono::duration_cast<std::chrono::microseconds>(endAsync - startAsync).count();
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//EXPECT_EQ(tensorAsyncB->data(), resultAsync);
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////EXPECT_EQ(tensorAsyncD->data(), resultAsync);
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////EXPECT_EQ(tensorAsyncF->data(), resultAsync);
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////SPDLOG_DEBUG("Total Sync: {}", durationSync);
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//SPDLOG_DEBUG("Total Async: {}", durationAsync);
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}
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