forked from jiuyuan/InfiniTensor
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
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#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 "operators/transpose.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 testTranspose(
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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 cudaRuntime = make_ref<CudaRuntimeObj>();
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// Build input data on CPU
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Tensor inputCpu = make_ref<TensorObj>(shape, DataType::Float32, cpuRuntime);
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inputCpu->dataMalloc();
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inputCpu->setData(generator);
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// GPU
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Graph cudaGraph = make_ref<GraphObj>(cudaRuntime);
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auto inputGpu = cudaGraph->cloneTensor(inputCpu);
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vector<int> permute = {0, 2, 1, 3};
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auto gpuOp = cudaGraph->addOp<T>(inputGpu, nullptr, permute);
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cudaGraph->dataMalloc();
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inputGpu->copyData(inputCpu);
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cudaRuntime->run(cudaGraph);
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auto outputGpu = gpuOp->getOutput();
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auto oCpu = outputGpu->clone(cpuRuntime);
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// Check
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// inputCpu->printData();
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// oCpu->printData();
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EXPECT_TRUE(oCpu->equalData(vector<float>{0, 1, 2, 3, 12, 13, 14, 15,
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4, 5, 6, 7, 16, 17, 18, 19,
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8, 9, 10, 11, 20, 21, 22, 23}));
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}
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TEST(cuda_Transpose, run) {
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testTranspose<TransposeObj>(IncrementalGenerator(), Shape{1, 2, 3, 4});
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}
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} // namespace infini
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