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 +1,80 @@
+//
+//  PermuteGrad.cpp
+//  MNN
+//
+//  Created by MNN on 2019/12/11.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "OpGrad.hpp"
+using namespace std;
+namespace MNN {
+using namespace MNN::Express;
+
+class TransposeGrad : public OpGrad {
+public:
+    virtual std::vector<Express::VARP> onGrad(Express::EXPRP expr,
+                                              const std::vector<Express::VARP>& backwardOutput) override {
+        auto shapeInfo = expr->inputs()[1]->getInfo();
+        auto shape     = expr->inputs()[1]->readMap<int>();
+        std::vector<VARP> res{nullptr};
+        if (nullptr == shape || nullptr == shapeInfo) {
+            MNN_ERROR("Can't get shape info\n");
+            return res;
+        }
+        MNN_ASSERT(nullptr != shape);
+        auto dimSize = shapeInfo->size;
+        std::vector<int> dims(dimSize);
+        for (int i = 0; i < dimSize; ++i) {
+            for (int j = 0; j < dimSize; ++j) {
+                if (shape[j] == i) {
+                    dims[i] = j;
+                    break;
+                }
+            }
+        }
+        res[0] = _Transpose(backwardOutput[0], dims);
+        return res;
+    }
+};
+
+class PermuteGrad : public OpGrad {
+public:
+    virtual std::vector<Express::VARP> onGrad(Express::EXPRP expr,
+                                              const std::vector<Express::VARP>& backwardOutput) override {
+        MNN_ASSERT(expr->inputs().size() == 1);
+        auto op    = expr->get();
+        auto shape = op->main_as_Permute()->dims();
+        std::vector<VARP> res{nullptr};
+        MNN_ASSERT(nullptr != shape);
+        std::unique_ptr<OpT> permuteOp(new OpT);
+        permuteOp->type       = OpType_Permute;
+        permuteOp->main.type  = OpParameter_Permute;
+        permuteOp->main.value = new PermuteT;
+        auto dimSize          = shape->size();
+        std::vector<int> dims(dimSize);
+        for (int i = 0; i < dimSize; ++i) {
+            for (int j = 0; j < dimSize; ++j) {
+                if (shape->data()[j] == i) {
+                    dims[i] = j;
+                    break;
+                }
+            }
+        }
+        permuteOp->main.AsPermute()->dims = dims;
+        res[0]                            = Variable::create(Expr::create(permuteOp.get(), {backwardOutput[0]}));
+        return res;
+    }
+};
+
+static void _create() {
+    static PermuteGrad _c;
+    OpGrad::insert((int)OpType_Permute, &_c);
+    static TransposeGrad _d;
+    OpGrad::insert((int)OpType_Transpose, &_d);
+
+}
+
+REGISTER_GRAD(PermuteGrad_cpp, _create);
+};
+