mirror of https://github.com/alibaba/MNN.git
59 lines
1.9 KiB
C++
59 lines
1.9 KiB
C++
//
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// ExprResizeTest.cpp
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// MNNTests
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//
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// Created by MNN on 2019/09/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include <MNN/expr/ExprCreator.hpp>
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#include "MNNTestSuite.h"
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using namespace MNN::Express;
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class ExprResizeTest : public MNNTestCase {
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public:
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virtual bool run(int precision) {
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auto x = _Input({4}, NHWC, halide_type_of<int32_t>());
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auto newX = _Input({4}, NHWC, halide_type_of<int32_t>());
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Variable::replace(x, newX);
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std::vector<int> x0 = {0, 1, 2, 3, 4, 5, 6};
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auto y = _ReduceSum(_Multiply(x, x), {});
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::memcpy(x->writeMap<int>(), x0.data(), x->getInfo()->size * sizeof(int32_t));
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if (14 != y->readMap<int>()[0]) {
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return false;
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}
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x->resize({5});
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::memcpy(x->writeMap<int>(), x0.data(), x->getInfo()->size * sizeof(int32_t));
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if (30 != y->readMap<int>()[0]) {
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MNN_PRINT("%d - Error: %d\n", 30, y->readMap<int>()[0]);
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return false;
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}
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auto z = _Cast<int>(_ReduceMean(_Cast<float>(x + x)));
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z.fix(VARP::CONSTANT);
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if (4 != z->readMap<int>()[0]) {
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MNN_PRINT("%d - Error = %d\n", 4, z->readMap<int>()[0]);
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return false;
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}
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x->resize({6});
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::memcpy(x->writeMap<int>(), x0.data(), x->getInfo()->size * sizeof(int32_t));
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std::vector<int> shape{2, 3};
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auto tempShape = _Input({2, 3}, NCHW);
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auto xR = _Reshape(x, _Shape(tempShape));
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auto xRPtr = xR->readMap<int>();
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if (nullptr == xRPtr) {
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FUNC_PRINT(1);
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return false;
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}
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for (int i = 0; i < 6; ++i) {
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if (xRPtr[i] != x0[i]) {
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FUNC_PRINT(1);
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return false;
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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(ExprResizeTest, "expr/ExprResize");
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