mirror of https://github.com/alibaba/MNN.git
62 lines
2.7 KiB
C++
62 lines
2.7 KiB
C++
//
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// SpaceToBatchNDTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/01/15.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <MNN/expr/Expr.hpp>
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#include <MNN/expr/ExprCreator.hpp>
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#include "MNNTestSuite.h"
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#include "TestUtils.h"
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using namespace MNN::Express;
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class SpaceToBatchNDTest : public MNNTestCase {
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public:
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virtual ~SpaceToBatchNDTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({3, 1, 2, 2}, NCHW);
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input->setName("input_tensor");
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// set input data
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const float inpudata[] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, inpudata, 12 * sizeof(float));
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input->unMap();
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const int blockshapedata[] = {2, 2};
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const int paddingdata[] = {0, 0, 0, 0};
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auto block_shape = _Const(blockshapedata,
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{
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2,
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},
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NCHW, halide_type_of<int>());
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auto paddings = _Const(paddingdata, {2, 2}, NCHW, halide_type_of<int>());
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input = _Convert(input, NC4HW4);
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// 1 input and 2 params
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auto tmp = _SpaceToBatchND(input, block_shape, paddings);
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auto output = _Convert(tmp, NCHW);
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// 3 inputs and 0 param
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std::unique_ptr<MNN::OpT> op(new MNN::OpT);
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op->type = MNN::OpType_SpaceToBatchND;
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auto _tmp = Variable::create(Expr::create(std::move(op), {input, block_shape, paddings}));
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auto _output = _Convert(_tmp, NCHW);
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auto checkOutput = [](VARP output) {
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const std::vector<float> expectedOutput = {1.0, 5.0, 9.0, 2.0, 6.0, 10.0, 3.0, 7.0, 11.0, 4.0, 8.0, 12.0};
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auto gotOutput = output->readMap<float>();
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if (!checkVector<float>(gotOutput, expectedOutput.data(), 12, 0.01)) {
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MNN_ERROR("SpaceToBatchNDTest test failed!\n");
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return false;
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}
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const std::vector<int> expectedDims = {12, 1, 1, 1};
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auto gotDims = output->getInfo()->dim;
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if (!checkVector<int>(gotDims.data(), expectedDims.data(), 4, 0)) {
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MNN_ERROR("SpaceToBatchNDTest test failed!\n");
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return false;
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}
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return true;
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};
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return checkOutput(output) && checkOutput(_output);
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}
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};
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MNNTestSuiteRegister(SpaceToBatchNDTest, "op/space_to_batch_nd");
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