45 lines
2.2 KiB
C++
45 lines
2.2 KiB
C++
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#include "gtest/gtest.h"
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#include "kompute/Kompute.hpp"
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TEST(TestWorkgroup, TestSimpleWorkgroup)
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{
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std::shared_ptr<kp::Tensor> tensorA = nullptr;
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std::shared_ptr<kp::Tensor> tensorB = nullptr;
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{
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std::shared_ptr<kp::Sequence> sq = nullptr;
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{
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kp::Manager mgr;
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tensorA = mgr.tensor(std::vector<float>(16 * 8));
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tensorB = mgr.tensor(std::vector<float>(16 * 8));
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std::vector<std::shared_ptr<kp::Tensor>> params = {tensorA, tensorB};
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std::vector<uint32_t> spirv(
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(uint32_t*)kp::shader_data::test_shaders_glsl_test_workgroup_comp_spv,
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(uint32_t*)(kp::shader_data::test_shaders_glsl_test_workgroup_comp_spv +
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kp::shader_data::test_shaders_glsl_test_workgroup_comp_spv_len));
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kp::Workgroup workgroup = {16, 8, 1};
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std::shared_ptr<kp::Algorithm> algorithm = mgr.algorithm(params, spirv, workgroup);
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sq = mgr.sequence();
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sq->record<kp::OpTensorSyncDevice>(params);
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sq->record<kp::OpAlgoDispatch>(params, algorithm);
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sq->record<kp::OpTensorSyncLocal>(params);
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sq->eval();
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}
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}
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std::vector<float> expectedA = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15};
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std::vector<float> expectedB = { 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7 };
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EXPECT_EQ(tensorA->data(), expectedA);
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EXPECT_EQ(tensorB->data(), expectedB);
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}
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