forked from jiuyuan/InfiniTensor
62 lines
2.1 KiB
C++
62 lines
2.1 KiB
C++
#include "core/graph.h"
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#include "core/kernel.h"
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#include "core/runtime.h"
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#include "cuda/cuda_runtime.h"
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#include "cuda/cuda_utility.h"
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#include "operators/reduce_mean.h"
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#include "test.h"
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namespace infini {
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void test_reducemean(const Shape &shape, const vector<float> &data,
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const optional<const vector<int>> &axis, bool keepDims,
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const vector<float> &ExpectData) {
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Runtime cpuRuntime = NativeCpuRuntimeObj::getInstance();
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auto cudaRuntime = make_ref<CudaRuntimeObj>();
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// Build input data on CPU
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Tensor icpu = make_ref<TensorObj>(shape, DataType::Float32, cpuRuntime);
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// Build CUDA graph
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Graph g = make_ref<GraphObj>(cudaRuntime);
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auto i = g->cloneTensor(icpu);
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auto op = g->addOp<ReduceMeanObj>(i, nullptr, axis, keepDims);
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// allocate CUDA memory
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g->dataMalloc();
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i->copyin(data);
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// Execute on CUDA
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cudaRuntime->run(g);
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// clone CUDA output to CPU
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auto o = op->getOutput();
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auto ocpu = o->clone(cpuRuntime);
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// check results on CPU
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EXPECT_TRUE(ocpu->equalData(ExpectData));
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}
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TEST(CUDA_ReduceMean, run) {
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test_reducemean(Shape{3, 2, 2},
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vector<float>{5, 1, 20, 2, 30, 1, 40, 2, 55, 1, 60, 2},
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std::nullopt, true, vector<float>{18.25});
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test_reducemean(Shape{1, 3, 2, 2, 1},
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vector<float>{5, 1, 20, 2, 30, 1, 40, 2, 55, 1, 60, 2},
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std::nullopt, false, vector<float>{18.25});
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test_reducemean(Shape{2, 3, 2, 2},
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vector<float>{0, 1, 2, 3, 4, 5, 6, 7,
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8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23},
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vector<int>{1, 2}, false, vector<float>{5, 6, 17, 18});
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test_reducemean(Shape{2, 3, 2, 2, 1},
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vector<float>{0, 1, 2, 3, 4, 5, 6, 7,
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8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23},
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vector<int>{1, 2}, true, vector<float>{5, 6, 17, 18});
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}
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} // namespace infini
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