wehub-resource-sync
102 lines
3.7 KiB
C++
102 lines
3.7 KiB
C++
//
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// SplitTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/12/26.
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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 SplitTest : public MNNTestCase {
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public:
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virtual ~SplitTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({2, 4}, NCHW);
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input->setName("input");
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// set input data
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const float input_data[] = {1.0, 2.0, 5.0, 6.0, 3.0, 4.0, 7.0, 8.0};
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auto inputPtr = input->writeMap<float>();
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memcpy(inputPtr, input_data, 8 * sizeof(float));
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auto outputs = _Split(input, {1, 3}, 1);
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const std::vector<float> expectedOutput0 = {1.0, 3.0};
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auto gotOutput0 = outputs[0]->readMap<float>();
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if (!checkVector<float>(gotOutput0, expectedOutput0.data(), 2, 0.0001)) {
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MNN_ERROR("SplitTest test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim0 = {2, 1};
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auto gotDim0 = outputs[0]->getInfo()->dim;
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if (!checkVector<int>(gotDim0.data(), expectedDim0.data(), 2, 0)) {
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MNN_ERROR("SplitTest test failed!\n");
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return false;
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}
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const std::vector<float> expectedOutput1 = {2.0, 5.0, 6.0, 4.0, 7.0, 8.0};
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auto gotOutput1 = outputs[1]->readMap<float>();
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if (!checkVector<float>(gotOutput1, expectedOutput1.data(), 6, 0.0001)) {
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MNN_ERROR("SplitTest test failed!\n");
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return false;
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}
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const std::vector<int> expectedDim1 = {2, 3};
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auto gotDim1 = outputs[1]->getInfo()->dim;
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if (!checkVector<int>(gotDim1.data(), expectedDim1.data(), 2, 0)) {
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MNN_ERROR("SplitTest 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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};
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MNNTestSuiteRegister(SplitTest, "op/split");
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class SliceTest : public MNNTestCase {
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public:
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virtual ~SliceTest() = default;
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virtual bool run(int precision) {
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auto input = _Input({2, 9, 4}, NCHW, halide_type_of<int>());
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input->setName("input");
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// set input data
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auto size = input->getInfo()->size;
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auto iptr = input->writeMap<int>();
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for (int i=0; i<size; ++i) {
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int ci = i % 4;
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int co = i / 36;
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int area = (i / 4) % 9;
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iptr[i] = (ci+co*4) * 10 + area;
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}
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input->unMap();
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auto inputTran = _Reshape(_Transpose(input, {0, 2, 1}), {8, 9}, NCHW);
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std::vector<int> startDims = {1, 0};
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std::vector<int> sizeDims = {4, 9};
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auto start = _Const(startDims.data(), {2}, NCHW, halide_type_of<int>());
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auto sizeVar = _Const(sizeDims.data(), {2}, NCHW, halide_type_of<int>());
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auto output = _Slice(inputTran, start, sizeVar);
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auto oinfo = output->getInfo();
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if (oinfo->dim.size() != 2) {
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FUNC_PRINT(1);
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return false;
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}
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if (oinfo->dim[1] != 9 || oinfo->dim[0] != 4) {
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FUNC_PRINT(1);
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return false;
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}
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auto optr = output->readMap<int>();
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for (int i=0; i<4; ++i) {
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for (int j=0; j<9; ++j) {
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int expect = (i+1)*10+j;
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int compute = optr[i*9+j];
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if (expect != compute) {
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MNN_ERROR("Error for i=%d - j=%d, %d:%d\n", i, j, expect, compute);
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return false;
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}
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}
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}
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return true;
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}
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};
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MNNTestSuiteRegister(SliceTest, "op/slice");
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