File size: 8,303 Bytes
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//
// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "save_onnx.h"
#include "onnx.pb.h"
#include <string.h>
#include <fstream>
#include <iostream>
#include "utils.h"
namespace pnnx {
// from cxxabi bridge
extern const char* get_operand_name(const Operand* x);
extern const char* get_operator_type(const Operator* op);
extern const char* get_operator_name(const Operator* op);
extern std::vector<const char*> get_operator_params_keys(const Operator* op);
extern std::vector<const char*> get_operator_attrs_keys(const Operator* op);
extern const Parameter& get_operator_param(const Operator* op, const char* key);
extern const Attribute& get_operator_attr(const Operator* op, const char* key);
extern const char* get_param_s(const Parameter& p);
extern std::vector<const char*> get_param_as(const Parameter& p);
int save_onnx(const Graph& g, const char* onnxpath, int fp16)
{
onnx::ModelProto model;
onnx::GraphProto* gp = model.mutable_graph();
for (const Operand* x : g.operands)
{
onnx::ValueInfoProto* vip = gp->add_value_info();
vip->set_name(get_operand_name(x));
onnx::TypeProto* tp = vip->mutable_type();
onnx::TypeProto_Tensor* tpt = tp->mutable_tensor_type();
switch (x->type)
{
case 1: // f32
tpt->set_elem_type(fp16 ? 10 : 1);
break;
case 2: // f64
tpt->set_elem_type(fp16 ? 10 : 11);
break;
case 3: // f16
tpt->set_elem_type(10);
break;
case 4: // i32
tpt->set_elem_type(6);
break;
case 5: // i64
tpt->set_elem_type(7);
break;
case 6: // i16
tpt->set_elem_type(5);
break;
case 7: // i8
tpt->set_elem_type(3);
break;
case 8: // u8
tpt->set_elem_type(2);
break;
case 9: // bool
tpt->set_elem_type(9);
break;
case 10: // cp64
tpt->set_elem_type(14);
break;
case 11: // cp128
tpt->set_elem_type(15);
break;
case 12: // cp32
tpt->set_elem_type(0);
break;
default: // null
tpt->set_elem_type(0);
break;
}
onnx::TensorShapeProto* tsp = tpt->mutable_shape();
for (auto s : x->shape)
{
onnx::TensorShapeProto_Dimension* tspd = tsp->add_dim();
tspd->set_dim_value(s);
}
}
for (const Operator* op : g.ops)
{
onnx::NodeProto* np = gp->add_node();
np->set_op_type(get_operator_type(op));
np->set_name(get_operator_name(op));
for (const Operand* oprand : op->inputs)
{
np->add_input(get_operand_name(oprand));
}
for (const Operand* oprand : op->outputs)
{
np->add_output(get_operand_name(oprand));
}
std::vector<const char*> params_keys = get_operator_params_keys(op);
for (const char* param_name : params_keys)
{
const Parameter& param = get_operator_param(op, param_name);
onnx::AttributeProto* ap = np->add_attribute();
ap->set_name(param_name);
if (param.type == 0)
{
ap->set_s("None");
}
if (param.type == 1)
{
if (param.b)
ap->set_i(1);
else
ap->set_i(0);
}
if (param.type == 2)
{
ap->set_i(param.i);
}
if (param.type == 3)
{
ap->set_f(param.f);
}
if (param.type == 4)
{
ap->set_s(get_param_s(param));
}
if (param.type == 5)
{
for (auto i : param.ai)
{
ap->add_ints(i);
}
}
if (param.type == 6)
{
for (auto f : param.af)
{
ap->add_floats(f);
}
}
if (param.type == 7)
{
std::vector<const char*> as = get_param_as(param);
for (auto s : as)
{
ap->add_strings(s);
}
}
}
std::vector<const char*> attrs_keys = get_operator_attrs_keys(op);
for (const char* attr_name : attrs_keys)
{
onnx::TensorProto* tp = gp->add_initializer();
tp->set_name(std::string(get_operator_name(op)) + "." + attr_name);
np->add_input(std::string(get_operator_name(op)) + "." + attr_name);
const Attribute& attr = get_operator_attr(op, attr_name);
for (auto s : attr.shape)
{
tp->add_dims(s);
}
switch (attr.type)
{
case 1: // f32
tp->set_data_type(fp16 ? 10 : 1);
break;
case 2: // f64
tp->set_data_type(fp16 ? 10 : 11);
break;
case 3: // f16
tp->set_data_type(10);
break;
case 4: // i32
tp->set_data_type(6);
break;
case 5: // i64
tp->set_data_type(7);
break;
case 6: // i16
tp->set_data_type(5);
break;
case 7: // i8
tp->set_data_type(3);
break;
case 8: // u8
tp->set_data_type(2);
break;
case 9: // bool
tp->set_data_type(9);
break;
case 10: // cp64
tp->set_data_type(14);
break;
case 11: // cp128
tp->set_data_type(15);
break;
case 12: // cp32
tp->set_data_type(0);
break;
default: // null
tp->set_data_type(0);
break;
}
std::string* d = tp->mutable_raw_data();
if (fp16 && attr.type == 1)
{
// fp32 to fp16
const float* p = (const float*)attr.data.data();
int len = attr.data.size() / 4;
d->resize(len * 2);
unsigned short* p_fp16 = (unsigned short*)d->data();
for (int i = 0; i < len; i++)
{
p_fp16[i] = float32_to_float16(p[i]);
}
}
else if (fp16 && attr.type == 2)
{
// fp64 to fp16
const double* p = (const double*)attr.data.data();
int len = attr.data.size() / 4;
d->resize(len);
unsigned short* p_fp16 = (unsigned short*)d->data();
for (int i = 0; i < len; i++)
{
p_fp16[i] = float32_to_float16((float)p[i]);
}
}
else
{
d->resize(attr.data.size());
memcpy((void*)d->data(), attr.data.data(), attr.data.size());
}
}
}
std::fstream output(onnxpath, std::ios::out | std::ios::trunc | std::ios::binary);
if (!model.SerializeToOstream(&output))
{
fprintf(stderr, "write onnx failed\n");
return -1;
}
return 0;
}
} // namespace pnnx
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