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 +1,45 @@
+//
+//  ShapeLinSpace.cpp
+//  MNN
+//
+//  Created by MNN on 2019/12/11.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+#include "core/TensorUtils.hpp"
+
+namespace MNN {
+
+class LinSpaceSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(inputs.size() == 3);
+        MNN_ASSERT(outputs.size() == 1);
+        auto& ib1 = inputs[0]->buffer();
+        auto& ib2 = inputs[1]->buffer();
+        auto& ib3 = inputs[2]->buffer();
+        auto& ob = outputs[0]->buffer();
+        MNN_ASSERT(ib1.dimensions == 0);
+        MNN_ASSERT(ib2.dimensions == 0);
+        MNN_ASSERT(ib3.dimensions == 0);
+
+        MNN_ASSERT(inputs[0]->getType() == halide_type_of<float>());
+        MNN_ASSERT(inputs[1]->getType() == halide_type_of<float>());
+        MNN_ASSERT(inputs[2]->getType() == halide_type_of<int32_t>());
+
+        int num = inputs[2]->host<int32_t>()[0];
+        MNN_ASSERT(num > 0);
+        
+        ob.dimensions = 1;
+        ob.dim[0].extent = num;
+        outputs[0]->setType(DataType_DT_FLOAT);
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(LinSpaceSizeComputer, OpType_LinSpace, {2});
+} // namespace MNN