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 +1,44 @@
+//
+//  ShapeTile.cpp
+//  MNN
+//
+//  Created by MNN on 2019/01/10.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+#include "core/TensorUtils.hpp"
+
+namespace MNN {
+
+class TileComputer : public SizeComputer {
+public:
+    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());
+        auto& input    = inputs[0]->buffer();
+        auto multiples = inputs[1];
+        MNN_ASSERT(multiples->getType().code == halide_type_int);
+        auto& output = outputs[0]->buffer();
+        // Expected multiples argument to be a 1-D vector of length input.dimensions
+        MNN_ASSERT(1 == multiples->buffer().dimensions)
+        MNN_ASSERT(input.dimensions == multiples->buffer().dim[0].extent);
+        const int inputDims = input.dimensions;
+        ::memcpy(output.dim, input.dim, input.dimensions * sizeof(halide_dimension_t));
+        output.dimensions = inputDims;
+        output.type       = input.type;
+        
+        for (int i = 0; i < inputDims; ++i) {
+            output.dim[i].extent = input.dim[i].extent * multiples->host<int32_t>()[i];
+        }
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(TileComputer, OpType_Tile, {1});
+
+} // namespace MNN