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 +1,50 @@
+//
+//  InputTf.cpp
+//  MNNConverter
+//
+//  Created by MNN on 2019/01/31.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "TfUtils.hpp"
+#include "tfOpConverter.hpp"
+
+#include "graph.pb.h"
+
+DECLARE_OP_CONVERTER(InputTf);
+
+MNN::OpType InputTf::opType() {
+    return MNN::OpType_Input;
+}
+MNN::OpParameter InputTf::type() {
+    return MNN::OpParameter_Input;
+}
+
+void InputTf::run(MNN::OpT *dstOp, TmpNode *srcNode) {
+    auto inputParam = new MNN::InputT;
+
+    tensorflow::AttrValue value;
+    if (find_attr_value(srcNode->tfNode, "shape", value)) {
+        const tensorflow::TensorShapeProto &shape = value.shape();
+        int64_t dimSize                           = shape.dim_size();
+        inputParam->dims.resize(dimSize);
+        DCHECK(dimSize <= 5) << "Placeholder Dim must less than "
+                               "or equal to 5, is "
+                            << dimSize << " " << srcNode->opName << std::endl;
+
+        for (int i = 0; i < dimSize; ++i) {
+            auto dimValue       = shape.dim(i).size();
+            inputParam->dims[i] = dimValue;
+        }
+    }
+
+    find_attr_value(srcNode->tfNode, "dtype", value);
+    inputParam->dtype = (MNN::DataType)value.type();
+
+    inputParam->dformat = MNN::MNN_DATA_FORMAT_NHWC;
+
+    dstOp->main.value = inputParam;
+}
+
+REGISTER_CONVERTER(InputTf, Placeholder);
+REGISTER_CONVERTER(InputTf, PlaceholderWithDefault);