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