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
@@ -0,0 +1,79 @@
+//
+//  ShapeTest.cpp
+//  MNNTests
+//
+//  Created by MNN on 2019/12/26.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include <MNN/expr/Expr.hpp>
+#include <MNN/expr/ExprCreator.hpp>
+#include "MNN_generated.h"
+#include "MNNTestSuite.h"
+#include "TestUtils.h"
+
+using namespace MNN::Express;
+class ShapeTest : public MNNTestCase {
+public:
+    virtual ~ShapeTest() = default;
+    virtual bool run(int precision) {
+        auto input = _Input({1, 1, 1, 4}, NCHW);
+        input->setName("input_tensor");
+        // set input data
+        const float inpudata[] = {-1.0, -2.0, 3.0, 4.0};
+        auto inputPtr          = input->writeMap<float>();
+        memcpy(inputPtr, inpudata, 4 * sizeof(float));
+        input->unMap();
+        auto output                           = _Shape(input);
+        const std::vector<int> expectedOutput = {1, 1, 1, 4};
+        auto gotOutput                        = output->readMap<int>();
+        if (!checkVector<int>(gotOutput, expectedOutput.data(), 4, 0)) {
+            MNN_ERROR("ShapeTest test failed!\n");
+            return false;
+        }
+        return true;
+    }
+};
+class ShapeSliceTest : public MNNTestCase {
+public:
+    virtual ~ShapeSliceTest() = default;
+    virtual bool run(int precision) {
+        auto input = _Input({2, 3, 5, 7}, NCHW);
+        input->setName("input_tensor");
+
+        std::unique_ptr<MNN::OpT> op(new MNN::OpT);
+        op->type                      = MNN::OpType_Shape;
+        op->main.type                 = MNN::OpParameter_ShapeParam;
+        op->main.value                = new MNN::ShapeParamT;
+        op->main.AsShapeParam()->hasStart = true;
+        op->main.AsShapeParam()->start    = 1;
+        op->main.AsShapeParam()->hasEnd   = true;
+        op->main.AsShapeParam()->end      = 3;
+        auto output = Variable::create(Expr::create(std::move(op), {input}));
+
+        const std::vector<int> expectedOutput = {3, 5};
+        auto gotOutput                        = output->readMap<int>();
+        if (!checkVector<int>(gotOutput, expectedOutput.data(), (int)expectedOutput.size(), 0)) {
+            MNN_ERROR("ShapeSliceTest positive slice failed!\n");
+            return false;
+        }
+
+        std::unique_ptr<MNN::OpT> negativeOp(new MNN::OpT);
+        negativeOp->type                      = MNN::OpType_Shape;
+        negativeOp->main.type                 = MNN::OpParameter_ShapeParam;
+        negativeOp->main.value                = new MNN::ShapeParamT;
+        negativeOp->main.AsShapeParam()->hasStart = true;
+        negativeOp->main.AsShapeParam()->start    = -2;
+        auto negativeOutput = Variable::create(Expr::create(std::move(negativeOp), {input}));
+
+        const std::vector<int> negativeExpected = {5, 7};
+        auto negativeGot                        = negativeOutput->readMap<int>();
+        if (!checkVector<int>(negativeGot, negativeExpected.data(), (int)negativeExpected.size(), 0)) {
+            MNN_ERROR("ShapeSliceTest negative start failed!\n");
+            return false;
+        }
+        return true;
+    }
+};
+MNNTestSuiteRegister(ShapeTest, "op/shape");
+MNNTestSuiteRegister(ShapeSliceTest, "op/shape/slice");