p49270318
/
InfiniTensor
forked from jiuyuan/InfiniTensor
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

feat: check everything 

Signed-off-by: YdrMaster <ydrml@hotmail.com>
This commit is contained in:
YdrMaster 2023-02-21 14:06:32 +08:00
parent 9e0f8f21bf
commit ffd0473bd2
1 changed files with 25 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
pyinfinitensor/src/pyinfinitensor/onnx.py
View File

@ -14,6 +14,13 @@ from onnx.helper import (
make_graph,
make_model,
)
from onnx.checker import (
check_graph,
check_model,
check_node,
check_value_info,
check_tensor,
)
from onnx.shape_inference import infer_shapes
from typing import Dict, List, Any, Tuple, Sequence
from functools import reduce
@ -356,7 +363,9 @@ def to_onnx(graph: backend.GraphHandler, name: str) -> ModelProto:
self.names[tensor] = name
shape = tensor.shape()
dtype = backend.tensor_dtype(tensor)
self.inputs.append(make_tensor_value_info(name, dtype, shape))
value_info = make_tensor_value_info(name, dtype, shape)
check_value_info(value_info)
self.inputs.append(value_info)
return name
@ -369,11 +378,16 @@ def to_onnx(graph: backend.GraphHandler, name: str) -> ModelProto:
vals: Any,
) -> str:
name = "{}_{}".format(node_name, attr_name)
self.inputs.append(make_tensor_value_info(name, elem_type, shape))
self.initializers.append(make_tensor(name, elem_type, shape, vals))
value_info = make_tensor_value_info(name, elem_type, shape)
tensor = make_tensor(name, elem_type, shape, vals)
check_value_info(value_info)
check_tensor(tensor)
self.inputs.append(value_info)
self.initializers.append(tensor)
return name
def push_node(self, node: NodeProto) -> None:
check_node(node)
self.nodes.append(node)
def build(self, name: str) -> ModelProto:
@ -386,11 +400,15 @@ def to_onnx(graph: backend.GraphHandler, name: str) -> ModelProto:
print()
print(ctx.nodes)
return make_model(
make_graph(
graph = make_graph(
self.nodes, name, self.inputs, self.outputs, self.initializers
)
)
check_graph(graph)
model = make_model(graph)
check_model(model)
return model
# 拓扑排序
if not graph.topo_sort():