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 +1,58 @@
+//
+//  ShapeTensorConvert.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 TensorConvertSizeComputer : public SizeComputer {
+public:
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        auto& ib = inputs[0]->buffer();
+        auto& ob = outputs[0]->buffer();
+        auto info                                             = op->main_as_TensorConvertInfo();
+        auto sourceFmt                                        = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        if (sourceFmt == MNN_DATA_FORMAT_NC4HW4) {
+            sourceFmt = MNN_DATA_FORMAT_NCHW;
+        }
+        auto destFmt                                          = info->dest();
+
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = destFmt;
+        if (destFmt == MNN_DATA_FORMAT_NC4HW4) {
+            destFmt = MNN_DATA_FORMAT_NCHW;
+        }
+        ob.type                                               = ib.type;
+        ob.dimensions                                         = ib.dimensions;
+        
+        if ((ib.dimensions == 2) || (sourceFmt == destFmt)) {
+            for (int i = 0; i < ib.dimensions; ++i) {
+                ob.dim[i].extent = ib.dim[i].extent;
+            }
+            return true;
+        }
+        
+        ob.dim[0].extent = ib.dim[0].extent;
+        if (sourceFmt == MNN_DATA_FORMAT_NCHW && destFmt == MNN_DATA_FORMAT_NHWC) {
+            ob.dim[ob.dimensions - 1].extent = ib.dim[1].extent;
+            for (int i = 1; i < ob.dimensions - 1; ++i) {
+                ob.dim[i].extent = ib.dim[i + 1].extent;
+            }
+        } else if (destFmt == MNN_DATA_FORMAT_NCHW && sourceFmt == MNN_DATA_FORMAT_NHWC) {
+            ob.dim[1].extent = ib.dim[ib.dimensions - 1].extent;
+            for (int i = 2; i < ob.dimensions; ++i) {
+                ob.dim[i].extent = ib.dim[i - 1].extent;
+            }
+        }
+        return true;
+    }
+};
+
+REGISTER_SHAPE(TensorConvertSizeComputer, OpType_ConvertTensor);
+} // namespace MNN