saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-05-14 20:48:00 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Fix FunctionProto visualization (#17063)

Browse source 
### Description
Title

### Motivation and Context
Need to debug function protos
This commit is contained in:
Dmitri Smirnov 2023-08-09 11:05:52 -07:00 committed by GitHub
parent 7361c283c7
commit 07dfe34714
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 21 additions and 18 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

39
cmake/external/onnx_protobuf.natvis vendored
View file

@ -50,7 +50,7 @@
<Item Name="[value]">_impl_.value_.tagged_ptr_</Item>
</Expand>
</Type>
<Type Name="onnx::TensorAnnotation">
<DisplayString>{{ tensor_name={_impl_.tensor_name_.tagged_ptr_} }}</DisplayString>
<Expand>
@ -80,7 +80,7 @@
<Intrinsic Name="_has_graph" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000020u) != 0"/>
<Intrinsic Name="_has_type_proto" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000040u) != 0"/>
<Intrinsic Name="_has_sparse_tensor" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000080u) != 0"/>
<DisplayString>{{ name={ name_.tagged_ptr_ }, type={ (AttributeProto_AttributeType)_impl_.type_ } }}</DisplayString>
<DisplayString>{{ name={ _impl_.name_.tagged_ptr_ }, type={ (AttributeProto_AttributeType)_impl_.type_ } }}</DisplayString>
<Expand>
<Item Name="[name]">_impl_.name_.tagged_ptr_</Item>
<Item Name="[type]">(AttributeProto_AttributeType)_impl_.type_</Item>
@ -118,18 +118,21 @@
<Item Name="[attribute]">_impl_.attribute_</Item>
</Expand>
</Type>
<Type Name="onnx::FunctionProto">
<DisplayString>{{ name={ _impl_.name_.tagged_ptr_ }, domain={ _impl_.domain_.tagged_ptr_ } }}</DisplayString>
<DisplayString>{{ name={ _impl_.name_.tagged_ptr_ } }}</DisplayString>
<Expand>
<Item Name="[opset_import]">_impl_.opset_import_</Item>
<Item Name="[input]">_impl_.input_</Item>
<Item Name="[output]">_impl_.output_</Item>
<Item Name="[node]">_impl_.node_</Item>
<Item Name="[doc]" ExcludeView="simple">_impl_.doc_string_.tagged_ptr_</Item>
<Item Name="[attribute]">_impl_.attribute_</Item>
<Item Name="[attribute_proto]" ExcludeView="simple">_impl_.attribute_proto_</Item>
<Item Name="[doc]">_impl_.doc_string_.tagged_ptr_</Item>
<Item Name="[opset_import]">_impl_.opset_import_</Item>
<Item Name="[domain]">_impl_.domain_.tagged_ptr_</Item>
</Expand>
</Type>
<Type Name="onnx::GraphProto">
<DisplayString>{{ name={ _impl_.name_.tagged_ptr_ } }}</DisplayString>
<Expand>
@ -143,7 +146,7 @@
<Item Name="[doc]" ExcludeView="simple">_impl_.doc_string_.tagged_ptr_</Item>
</Expand>
</Type>
<Type Name="onnx::ModelProto">
<DisplayString>{{ producer={_impl_.producer_name_.tagged_ptr_}, domain={ _impl_.domain_.tagged_ptr_ } }}</DisplayString>
<Expand>
@ -156,7 +159,7 @@
<Item Name="[graph]" ExcludeView="simple">_impl_.graph_</Item>
</Expand>
</Type>
<Type Name="onnx::TensorShapeProto_Dimension">
<DisplayString Condition="*_impl_._oneof_case_ == 0">empty</DisplayString>
<DisplayString Condition="*_impl_._oneof_case_ == kDimValue">{{ v = {_impl_.value_.dim_value_} }}</DisplayString>
@ -171,7 +174,7 @@
<Item Name="[dims]" ExcludeView="simple">_impl_.dim_</Item>
</Expand>
</Type>
<!--Type Protos-->
<Type Name="onnx::TypeProto">
<DisplayString>{{ type={ (ValueCase)*_impl_._oneof_case_ } }}</DisplayString>
@ -185,7 +188,7 @@
<Item Name="[denotation]" ExcludeView="simple">_impl_.denotation_.tagged_ptr_</Item>
</Expand>
</Type>
<Type Name="onnx::TypeProto_Tensor">
<Intrinsic Name="_has_shape" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000001u) != 0"/>
<DisplayString>{{ elem_type={ (TensorProto_DataType)_impl_.elem_type_ } }}</DisplayString>
@ -195,7 +198,7 @@
<Item Name="[has_shape]" ExcludeView="simple">_has_shape()</Item>
</Expand>
</Type>
<Type Name="onnx::TypeProto_Sequence">
<Intrinsic Name="_has_element_type" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000001u) != 0"/>
<DisplayString Condition="_has_element_type()">{{ elem_type={ *_impl_.elem_type_ } }}</DisplayString>
@ -204,7 +207,7 @@
<Item Name="[has_element_type]" ExcludeView="simple">_has_element_type()</Item>
</Expand>
</Type>
<Type Name="onnx::TypeProto_Map">
<Intrinsic Name="_has_value_type" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000001u) != 0"/>
<DisplayString>{{ key_type={ (TensorProto_DataType)_impl_.key_type_ } }}</DisplayString>
@ -239,7 +242,7 @@
<DisplayString>{{ begin={ begin_ }, end={ end_ } }}</DisplayString>
<Expand></Expand>
</Type>
<!--TODO Figure out how to calculate the size of the tensor given its shape. Loops are only possible in custom lists. -->
<Type Name="onnx::TensorProto">
<Intrinsic Name="_has_raw_data" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000002u) != 0" />
@ -252,7 +255,7 @@
<Intrinsic Name="_shape_size_3" Expression="_shape_size_2() * _shape_array()[2]" />
<Intrinsic Name="_shape_size_4" Expression="_shape_size_3() * _shape_array()[3]" />
<Intrinsic Name="_shape_size_5" Expression="_shape_size_4() * _shape_array()[4]" />
<DisplayString>{{ name={name_.tagged_ptr_}, data_type={ (TensorProto_DataType)_impl_.data_type_ } }}</DisplayString>
<DisplayString>{{ name={_impl_.name_.tagged_ptr_}, data_type={ (TensorProto_DataType)_impl_.data_type_ } }}</DisplayString>
<Expand>
<Item Name="[name]" ExcludeView="simple">_impl_.name_.tagged_ptr_</Item>
<Item Name="[data_type]" ExcludeView="simple">(TensorProto_DataType)_impl_.data_type_</Item>
@ -281,10 +284,10 @@
<Item Name="[has_segment]" ExcludeView="simple">_has_segment()</Item>
</Expand>
</Type>
<Type Name="onnx::SparseTensorProto">
<Intrinsic Name="_has_values" Expression="(_has_bits_.has_bits_[0] &amp; 0x00000001u) != 0"/>
<Intrinsic Name="_has_indices" Expression="(_has_bits_.has_bits_[0] &amp; 0x00000002u) != 0"/>
<Intrinsic Name="_has_values" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000001u) != 0"/>
<Intrinsic Name="_has_indices" Expression="(_impl_._has_bits_.has_bits_[0] &amp; 0x00000002u) != 0"/>
<DisplayString>{{ SparseTensorProto }}</DisplayString>
<Expand>
<Item Name="[dense_shape]" ExcludeView="simple">_impl_.dims_</Item>