forked from jiuyuan/InfiniTensor
71 lines
2.5 KiB
C++
71 lines
2.5 KiB
C++
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#include "core/graph.h"
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#include "core/runtime.h"
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#include "operators/pooling.h"
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#include "test.h"
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namespace infini {
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using KDPS = vector<int>;
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using ExpectOutput = vector<float>;
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TEST(MaxPool, ShapeInference) {
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Runtime cpuRuntime = CpuRuntimeObj::getInstance();
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{
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Graph g = make_ref<GraphObj>(cpuRuntime);
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Tensor i = g->addTensor({1, 64, 162, 162}, DataType::UInt32);
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const int kh = 3, kw = 3, dh = 1, dw = 1, ph = 0, pw = 0, sh = 2,
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sw = 2;
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auto op =
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g->addOp<MaxPoolObj>(i, nullptr, kh, kw, dh, dw, ph, pw, sh, sw);
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EXPECT_EQ(op->getOutput()->getDims(), (Shape{1, 64, 80, 80}));
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}
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{ // dilation & stride
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Graph g = make_ref<GraphObj>(cpuRuntime);
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Tensor i = g->addTensor({1, 64, 162, 162}, DataType::UInt32);
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auto op = g->addOp<MaxPoolObj>(i, nullptr, 4, 3, 1, 1, 2, 1, 1, 2);
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EXPECT_EQ(op->getOutput()->getDims(), (Shape{1, 64, 163, 81}));
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}
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}
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TEST(MaxPool, NaiveCPU) {
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Runtime cpuRuntime = CpuRuntimeObj::getInstance();
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Graph g = make_ref<GraphObj>(cpuRuntime);
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Tensor i = g->addTensor({1, 2, 5, 5}, DataType::UInt32);
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auto op = g->addOp<MaxPoolObj>(i, nullptr, 3, 3, 1, 1, 1, 1, 2, 2);
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g->dataMalloc();
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i->setData(IncrementalGenerator());
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cpuRuntime->run(g, true, true);
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double perfTime = cpuRuntime->getPerfTime(g);
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// The example matmul takes 0.0036ms with one core
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EXPECT_GT(perfTime, 0);
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EXPECT_LT(perfTime, 5);
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// check answer
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vector<uint32_t> ans = {6, 8, 9, 16, 18, 19, 21, 23, 24,
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31, 33, 34, 41, 43, 44, 46, 48, 49};
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EXPECT_TRUE(op->getOutput()->equalData(ans));
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}
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TEST(AvgPool, NaiveCPU) {
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Runtime cpuRuntime = CpuRuntimeObj::getInstance();
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Graph g = make_ref<GraphObj>(cpuRuntime);
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Tensor i = g->addTensor({1, 2, 5, 5}, DataType::Float32);
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auto op = g->addOp<AvgPoolObj>(i, nullptr, 3, 3, 1, 1, 1, 1, 2, 2);
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g->dataMalloc();
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i->setData(IncrementalGenerator());
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cpuRuntime->run(g, true, true);
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// check answer
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vector<float> ans = {
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1.33333337, 3.0000, 2.66666675, 7.0000, 12.0000, 9.0000,
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8.0000, 13.0000, 9.33333302, 12.444447, 19.666666, 13.7777777,
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23.666666, 37.0000, 25.666666, 19.1111107, 29.666666, 20.4444447};
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EXPECT_TRUE(op->getOutput()->equalData(ans));
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double perfTime = cpuRuntime->getPerfTime(g);
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// The example matmul takes 0.0036ms with one core
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EXPECT_GT(perfTime, 0);
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EXPECT_LT(perfTime, 5);
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}
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} // namespace infini
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