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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+//
+//  ShapeTranspose.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 TransposeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        const Tensor* input = inputs[0];
+        Tensor* perm        = inputs[1];
+        const int dims = input->buffer().dimensions;
+        if (perm->getType().code != halide_type_int || 32 != perm->getType().bits || dims != perm->buffer().dim[0].extent) {
+            return false;
+        }
+        auto permutation = perm->host<int32_t>();
+        outputs[0]->buffer().dimensions = dims;
+        outputs[0]->buffer().type = input->getType();
+        bool used[MNN_MAX_TENSOR_DIM] = {false};
+        for (int i = 0; i < dims; ++i) {
+            const int32_t d                    = permutation[i];
+            if (d < 0 || d >= dims) {
+                return false;
+            }
+            if (used[d]) {
+                return false;
+            }
+            used[d] = true;
+            outputs[0]->buffer().dim[i].extent = input->buffer().dim[d].extent;
+        }
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(TransposeComputer, OpType_Transpose, {1});
+} // namespace MNN