chore: import upstream snapshot with attribution

2026-07-13 13:33:03 +08:00
commit 5b57521aa1
8226 changed files with 3425766 additions and 0 deletions
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+//
+//  ReLU6Test.cpp
+//  MNNTests
+//
+//  Created by MNN on 2019/01/15.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include <MNN/expr/Expr.hpp>
+#include <MNN/expr/ExprCreator.hpp>
+#include "MNNTestSuite.h"
+#include "TestUtils.h"
+
+using namespace MNN::Express;
+class Relu6Test : public MNNTestCase {
+public:
+    virtual ~Relu6Test() = default;
+    virtual bool run(int precision) {
+        auto input = _Input(
+            {
+                4,
+            },
+            NCHW);
+        input->setName("input_tensor");
+        // set input data
+        const float inpudata[] = {-1.0, 3.0, 6.0, 9.0};
+        auto inputPtr          = input->writeMap<float>();
+        memcpy(inputPtr, inpudata, 4 * sizeof(float));
+        input->unMap();
+        auto output                             = _Relu6(input);
+        const std::vector<float> expectedOutput = {0.0, 3.0, 6.0, 6.0};
+        auto gotOutput                          = output->readMap<float>();
+        if (!checkVector<float>(gotOutput, expectedOutput.data(), 4, 0.01)) {
+            MNN_ERROR("Relu6Test test failed!\n");
+            return false;
+        }
+        return true;
+    }
+};
+MNNTestSuiteRegister(Relu6Test, "op/relu6");
+
+class ClampTest : public MNNTestCase {
+public:
+    virtual ~ClampTest() = default;
+    virtual bool run(int precision) {
+        auto input = _Input(
+            {
+                4,
+            },
+            NCHW);
+        input->setName("input_tensor");
+        // set input data
+        const float inpudata[] = {-1.0, 3.0, 6.0, 9.0};
+        auto inputPtr          = input->writeMap<float>();
+        memcpy(inputPtr, inpudata, 4 * sizeof(float));
+        input->unMap();
+        auto output                             = _Relu6(input, 1.0f, 3.0f);
+        const std::vector<float> expectedOutput = {1.0, 3.0, 3.0, 3.0};
+        auto gotOutput                          = output->readMap<float>();
+        if (!checkVector<float>(gotOutput, expectedOutput.data(), 4, 0.01)) {
+            MNN_ERROR("ClampTest test failed!\n");
+            return false;
+        }
+        return true;
+    }
+};
+MNNTestSuiteRegister(ClampTest, "op/clamp");