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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+//
+//  ShapeCrop.cpp
+//  MNN
+//
+//  Created by MNN on 2019/01/10.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+
+namespace MNN {
+class CropSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(2 == inputs.size());
+        MNN_ASSERT(1 == outputs.size());
+        MNN_ASSERT(4 == inputs[0]->buffer().dimensions && 4 == inputs[1]->buffer().dimensions);
+        MNN_ASSERT(inputs[0]->buffer().dimensions == inputs[1]->buffer().dimensions);
+
+        auto& ibInput0 = inputs[0]->buffer();
+        auto& ibInput1 = inputs[1]->buffer();
+        auto& ob       = outputs[0]->buffer();
+
+        ob.dimensions = ibInput1.dimensions;
+        ::memcpy(ob.dim, ibInput1.dim, ibInput1.dimensions * sizeof(halide_dimension_t));
+
+        auto cropParam = op->main_as_Crop();
+        for (int i = 0; i < ibInput1.dimensions; ++i) {
+            if (i < cropParam->axis()) {
+                ob.dim[i].extent = ibInput0.dim[i].extent;
+            }
+        }
+        ob.type = ibInput0.type;
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE(CropSizeComputer, OpType_Crop);
+
+} // namespace MNN