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 +1,111 @@
+//
+//  ShapeShape.cpp
+//  MNN
+//
+//  Created by MNN on 2019/01/10.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include <algorithm>
+#include <utility>
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+#include "core/TensorUtils.hpp"
+
+namespace MNN {
+
+static std::pair<int, int> _resolveShapeRange(const Op* op, int rank) {
+    int start = 0;
+    int end = rank;
+    if (auto param = op->main_as_ShapeParam()) {
+        if (param->hasStart()) {
+            start = param->start();
+            if (start < 0) {
+                start += rank;
+            }
+        }
+        if (param->hasEnd()) {
+            end = param->end();
+            if (end < 0) {
+                end += rank;
+            }
+        }
+    }
+    start = std::max(0, std::min(start, rank));
+    end = std::max(start, std::min(end, rank));
+    return std::make_pair(start, end);
+}
+
+class ShapeSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(1 <= inputs.size());
+        MNN_ASSERT(1 == outputs.size());
+        auto& ib = inputs[0]->buffer();
+        auto& ob = outputs[0]->buffer();
+
+        ob.dimensions = 1;
+        outputs[0]->setType(DataType_DT_INT32);
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = op->defaultDimentionFormat();
+        auto inputFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        int rank = ib.dimensions;
+        if (inputFormat == MNN_DATA_FORMAT_NC4HW4 && op->defaultDimentionFormat() == MNN_DATA_FORMAT_NHWC) {
+            // For compability
+            rank = 4;
+        }
+        auto range = _resolveShapeRange(op, rank);
+        ob.dim[0].extent = range.second - range.first;
+        return true;
+    }
+};
+
+REGISTER_SHAPE(ShapeSizeComputer, OpType_Shape);
+
+class ShapeRasterComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(1 == outputs.size());
+        auto extra  = op->main_as_Extra();
+        if (!extra) {
+            // copy dims
+            MNN_ASSERT(1 <= inputs.size());
+            outputs[0]->buffer().type = inputs[0]->buffer().type;
+            TensorUtils::copyShape(inputs[0], outputs[0], true);
+        } else {
+            if (inputs.size() > 0) {
+                outputs[0]->buffer().type = inputs[0]->buffer().type;
+                TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+            }
+            for (int i = 0; i < extra->attr()->size(); i++) {
+                auto attr = extra->attr()->Get(i);
+                if (attr->key()->str() == "shape") {
+                    outputs[0]->buffer().dimensions = 0;
+                    if (attr->list()->i() != nullptr) {
+                        int len = attr->list()->i()->size();
+                        outputs[0]->buffer().dimensions = len;
+                        for (int j = 0; j < len; j++) {
+                            outputs[0]->setLength(j, attr->list()->i()->Get(j));
+                        }
+                    }
+                    continue;
+                }
+                if (attr->key()->str() == "code") {
+                    outputs[0]->buffer().type.code = (halide_type_code_t)attr->i();
+                    continue;
+                }
+                if (attr->key()->str() == "bits") {
+                    outputs[0]->buffer().type.bits = attr->i();
+                    continue;
+                }
+                if (attr->key()->str() == "format") {
+                    TensorUtils::getDescribe(outputs[0])->dimensionFormat = (MNN_DATA_FORMAT)attr->i();
+                    continue;
+                }
+            }
+        }
+        return true;
+    }
+};
+
+REGISTER_SHAPE(ShapeRasterComputer, OpType_Raster);
+} // namespace MNN