mirror of
https://github.com/nomic-ai/kompute.git
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143 lines
3.9 KiB
C++
143 lines
3.9 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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#include "gtest/gtest.h"
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#include "kompute/Kompute.hpp"
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#include "kompute/logger/Logger.hpp"
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#include "shaders/Utils.hpp"
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TEST(TestDestroy, TestDestroyTensorSingle)
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{
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std::shared_ptr<kp::TensorT<float>> tensorA = nullptr;
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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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void main() {
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uint index = gl_GlobalInvocationID.x;
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pa[index] = pa[index] + 1;
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})");
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std::vector<uint32_t> spirv = compileSource(shader);
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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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const std::vector<float> initialValues = { 0.0f, 0.0f, 0.0f };
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tensorA = mgr.tensor(initialValues);
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std::shared_ptr<kp::Algorithm> algo =
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mgr.algorithm({ tensorA }, spirv);
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// Sync values to and from device
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mgr.sequence()->eval<kp::OpTensorSyncDevice>(algo->getTensors());
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EXPECT_EQ(tensorA->vector(), initialValues);
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mgr.sequence()
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->record<kp::OpAlgoDispatch>(algo)
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->eval()
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->eval<kp::OpTensorSyncLocal>(algo->getTensors());
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const std::vector<float> expectedFinalValues = { 1.0f, 1.0f, 1.0f };
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EXPECT_EQ(tensorA->vector(), expectedFinalValues);
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tensorA->destroy();
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EXPECT_FALSE(tensorA->isInit());
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}
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EXPECT_FALSE(tensorA->isInit());
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}
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}
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TEST(TestDestroy, TestDestroyTensorVector)
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{
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std::shared_ptr<kp::TensorT<float>> tensorA = nullptr;
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std::shared_ptr<kp::TensorT<float>> tensorB = nullptr;
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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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pa[index] = pa[index] + 1;
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pb[index] = pb[index] + 2;
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})");
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std::vector<uint32_t> spirv = compileSource(shader);
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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({ 1, 1, 1 });
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tensorB = mgr.tensor({ 1, 1, 1 });
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std::shared_ptr<kp::Algorithm> algo =
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mgr.algorithm({ tensorA, tensorB }, spirv);
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mgr.sequence()
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->record<kp::OpTensorSyncDevice>(algo->getTensors())
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->record<kp::OpAlgoDispatch>(algo)
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->record<kp::OpTensorSyncLocal>(algo->getTensors())
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->eval();
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EXPECT_EQ(tensorA->vector(), std::vector<float>({ 2, 2, 2 }));
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EXPECT_EQ(tensorB->vector(), std::vector<float>({ 3, 3, 3 }));
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tensorA->destroy();
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tensorB->destroy();
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EXPECT_FALSE(tensorA->isInit());
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EXPECT_FALSE(tensorB->isInit());
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}
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}
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}
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TEST(TestDestroy, TestDestroySequenceSingle)
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{
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std::shared_ptr<kp::TensorT<float>> tensorA = nullptr;
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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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void main() {
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uint index = gl_GlobalInvocationID.x;
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pa[index] = pa[index] + 1;
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})");
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std::vector<uint32_t> spirv = compileSource(shader);
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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({ 0, 0, 0 });
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sq =
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mgr.sequence()
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->record<kp::OpTensorSyncDevice>({ tensorA })
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->record<kp::OpAlgoDispatch>(mgr.algorithm({ tensorA }, spirv))
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->record<kp::OpTensorSyncLocal>({ tensorA })
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->eval();
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sq->destroy();
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EXPECT_FALSE(sq->isInit());
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EXPECT_EQ(tensorA->vector(), std::vector<float>({ 1, 1, 1 }));
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}
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}
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}
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