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edit mxnet2ncnn to support lstm #518

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edit mxnet2ncnn to support lstm #518

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34 changes: 29 additions & 5 deletions tools/mxnet/mxnet2ncnn.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -366,8 +366,22 @@ static bool read_mxnet_json(const char* jsonpath, std::vector<MXNetNode>& nodes)
nscan = sscanf(line, " \"name\": \"%255[^\"]\",", name);
if (nscan == 1)
{
int Cu_node_count = nodes.size(),i;
for(i=0; i<Cu_node_count; i++)
{
if(strcmp(name, nodes[i].name.c_str()) != 0)
continue;
else
break;
// fprintf(stderr, "name = %s\n", name);
}
if(Cu_node_count != i)
{
char namecat[15];
sprintf(namecat, "repeat_%d", internal_unknown);
strcat(name, namecat);
}
n.name = name;
// fprintf(stderr, "name = %s\n", name);
continue;
}

Expand Down Expand Up @@ -600,7 +614,7 @@ static bool read_mxnet_param(const char* parampath, std::vector<MXNetParam>& par
p.name = std::string(p.name.c_str() + 4);
}

// fprintf(stderr, "%s read\n", p.name.c_str());
fprintf(stderr, "%s read\n", p.name.c_str());
}

fclose(fp);
Expand All @@ -617,6 +631,7 @@ int main(int argc, char** argv)

std::vector<MXNetNode> nodes;
std::vector<MXNetParam> params;
std::vector<int> weightwrited;

read_mxnet_json(jsonpath, nodes);
read_mxnet_param(parampath, params);
Expand All @@ -628,7 +643,11 @@ int main(int argc, char** argv)
fprintf(pp, "7767517\n");

int node_count = nodes.size();

weightwrited.resize(node_count);
for(int i=0; i<node_count; i++)
{
weightwrited[i]=0;
}
// node reference
std::map<int, int> node_reference;

Expand Down Expand Up @@ -1525,15 +1544,20 @@ int main(int argc, char** argv)

std::vector<float> weight_data = n.weight(0);
std::vector<float> bias_data = n.weight(1);

fprintf(pp, " 0=%d", num_hidden);
fprintf(pp, " 1=%d", no_bias == 1 ? 0 : 1);
fprintf(pp, " 2=%d", (int)weight_data.size());


if(weightwrited[n.weights[0]] == 0)
{
int quantize_tag = 0;
fprintf(stderr,"%d:%d\n",weight_data.size(),bias_data.size());
fwrite(&quantize_tag, sizeof(int), 1, bp);
fwrite(weight_data.data(), sizeof(float), weight_data.size(), bp);
fwrite(bias_data.data(), sizeof(float), bias_data.size(), bp);
weightwrited[n.weights[0]] = 1;
}
}
else if (n.op == "InstanceNorm")
{
Expand Down