forked from jiuyuan/InfiniTensor
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
#include "bang/bang_runtime.h"
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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 "operators/unary.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 testPRelu(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 bangRuntime = make_ref<BangRuntimeObj>();
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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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Tensor alphaCpu =
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make_ref<TensorObj>(Shape{1, 1, 1, 1}, DataType::Float32, cpuRuntime);
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inputCpu->dataMalloc();
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inputCpu->setData(generator);
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alphaCpu->dataMalloc();
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alphaCpu->setData(generator);
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// GPU
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Graph bangGraph = make_ref<GraphObj>(bangRuntime);
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auto inputGpu = bangGraph->cloneTensor(inputCpu);
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auto alphaGpu = bangGraph->cloneTensor(alphaCpu);
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auto gpuOp = bangGraph->addOp<T>(inputGpu, alphaGpu, nullptr);
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bangGraph->dataMalloc();
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bangRuntime->run(bangGraph);
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auto outputGpu = gpuOp->getOutput();
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auto outputGpu2Cpu = outputGpu->clone(cpuRuntime);
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inputCpu->printData();
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alphaCpu->printData();
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outputGpu2Cpu->printData();
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EXPECT_TRUE(1);
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}
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TEST(cnnl_PRelu, run) {
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testPRelu<PReluObj>(IncrementalGenerator(), Shape{1, 2, 2, 3});
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}
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} // namespace infini
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