wehub-resource-sync
53 lines
1.5 KiB
C++
53 lines
1.5 KiB
C++
//
|
|
// ReLUGradTest.cpp
|
|
// MNNTests
|
|
//
|
|
// Created by MNN on 2022/07/12.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include <MNN/expr/Expr.hpp>
|
|
#include <MNN/expr/ExprCreator.hpp>
|
|
#include "MNNTestSuite.h"
|
|
#include "TestUtils.h"
|
|
#include "../tools/train/source/grad/OpGrad.hpp"
|
|
|
|
using namespace MNN;
|
|
using namespace MNN::Express;
|
|
|
|
class ReLUGradTest : public MNNTestCase {
|
|
public:
|
|
char name[20] = "ReLU";
|
|
virtual ~ReLUGradTest() = default;
|
|
|
|
virtual bool run(int precision) {
|
|
const int len = 4;
|
|
auto input = _Input({len}, NCHW);
|
|
const float inpudata[] = {-1.0, -2.0, 0.0, 4.0};
|
|
auto inputPtr = input->writeMap<float>();
|
|
memcpy(inputPtr, inpudata, len * sizeof(float));
|
|
|
|
auto output = _Relu(input, 0.25);
|
|
auto opExpr = output->expr().first;
|
|
|
|
auto grad = OpGrad::get(opExpr->get()->type());
|
|
float outputDiff[len] = {0.1, -0.2, -0.3, 0.4};
|
|
auto inputGrad = grad->onGrad(opExpr, {_Const(outputDiff, {len})});
|
|
|
|
const std::vector<float> expectedOutput = {0.025, -0.05, 0.0, 0.4};
|
|
auto gotOutput = inputGrad[0]->readMap<float>();
|
|
|
|
for (int i = 0; i < len; ++i) {
|
|
auto diff = ::fabsf(gotOutput[i] - expectedOutput[i]);
|
|
if (diff > 0.000001) {
|
|
MNN_ERROR("%s grad test failed, expected: %f, but got: %f!\n", name, expectedOutput[i], gotOutput[i]);
|
|
return false;
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
};
|
|
|
|
MNNTestSuiteRegister(ReLUGradTest, "grad/relu");
|