forked from jiuyuan/InfiniTensor
49 lines
1.3 KiB
C++
49 lines
1.3 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 "kunlun/kunlun_runtime.h"
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#include "operators/split.h"
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#include "test.h"
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namespace infini {
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template <class T>
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void testSplit(const std::function<void(void *, size_t, DataType)> &generator,
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const Shape &shape) {
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// Runtime
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Runtime cpuRuntime = NativeCpuRuntimeObj::getInstance();
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auto xpuRuntime = make_ref<KUNLUNRuntimeObj>();
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// Build input data on CPU
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Tensor inputCpu1 =
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make_ref<TensorObj>(shape, DataType::Float32, cpuRuntime);
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inputCpu1->dataMalloc();
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inputCpu1->setData(generator);
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// GPU
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Graph xpuGraph = make_ref<GraphObj>(xpuRuntime);
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auto inputGpu1 = xpuGraph->cloneTensor(inputCpu1);
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auto gpuOp = xpuGraph->addOp<T>(inputGpu1, std::nullopt, 3, 3);
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xpuGraph->dataMalloc();
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xpuRuntime->run(xpuGraph);
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auto o0Cpu = gpuOp->getOutput(0)->clone(cpuRuntime);
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auto o1Cpu = gpuOp->getOutput(1)->clone(cpuRuntime);
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auto o2Cpu = gpuOp->getOutput(2)->clone(cpuRuntime);
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// Check
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inputCpu1->print();
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inputCpu1->printData();
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o0Cpu->print();
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o0Cpu->printData();
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o1Cpu->print();
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o1Cpu->printData();
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o2Cpu->print();
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o2Cpu->printData();
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EXPECT_TRUE(1);
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}
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TEST(xpu_Split, run) {
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testSplit<SplitObj>(IncrementalGenerator(), Shape{1, 2, 2, 3});
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}
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} // namespace infini
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