mirror of
https://github.com/hanzo-ml/kserve.git
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SivananthamandGitHub
4b84d130dd
* replace github.com/golang/protobuf Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * regenerate tf2openapi Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * remove use of github.com/gogo/protobuf pkg Signed-off-by: Sivanantham Chinnaiyan <[email protected]> --------- Signed-off-by: Sivanantham Chinnaiyan <[email protected]>
1497 lines
58 KiB
Go
Generated
1497 lines
58 KiB
Go
Generated
// Code generated by protoc-gen-go. DO NOT EDIT.
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// versions:
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// protoc-gen-go v1.28.1
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// protoc v3.14.0
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// source: tensorflow/core/protobuf/meta_graph.proto
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package protobuf
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import (
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framework "github.com/kserve/kserve/tools/tf2openapi/generated/framework"
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protoreflect "google.golang.org/protobuf/reflect/protoreflect"
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protoimpl "google.golang.org/protobuf/runtime/protoimpl"
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anypb "google.golang.org/protobuf/types/known/anypb"
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reflect "reflect"
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sync "sync"
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)
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const (
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// Verify that this generated code is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
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// Verify that runtime/protoimpl is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
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)
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// NOTE: This protocol buffer is evolving, and will go through revisions in the
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// coming months.
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//
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// Protocol buffer containing the following which are necessary to restart
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// training, run inference. It can be used to serialize/de-serialize memory
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// objects necessary for running computation in a graph when crossing the
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// process boundary. It can be used for long term storage of graphs,
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// cross-language execution of graphs, etc.
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//
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// MetaInfoDef
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// GraphDef
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// SaverDef
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// CollectionDef
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// TensorInfo
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// SignatureDef
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type MetaGraphDef struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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MetaInfoDef *MetaGraphDef_MetaInfoDef `protobuf:"bytes,1,opt,name=meta_info_def,json=metaInfoDef,proto3" json:"meta_info_def,omitempty"`
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// GraphDef.
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GraphDef *framework.GraphDef `protobuf:"bytes,2,opt,name=graph_def,json=graphDef,proto3" json:"graph_def,omitempty"`
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// SaverDef.
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SaverDef *SaverDef `protobuf:"bytes,3,opt,name=saver_def,json=saverDef,proto3" json:"saver_def,omitempty"`
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// collection_def: Map from collection name to collections.
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// See CollectionDef section for details.
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CollectionDef map[string]*CollectionDef `protobuf:"bytes,4,rep,name=collection_def,json=collectionDef,proto3" json:"collection_def,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
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// signature_def: Map from user supplied key for a signature to a single
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// SignatureDef.
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SignatureDef map[string]*SignatureDef `protobuf:"bytes,5,rep,name=signature_def,json=signatureDef,proto3" json:"signature_def,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
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// Asset file def to be used with the defined graph.
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AssetFileDef []*AssetFileDef `protobuf:"bytes,6,rep,name=asset_file_def,json=assetFileDef,proto3" json:"asset_file_def,omitempty"`
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}
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func (x *MetaGraphDef) Reset() {
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*x = MetaGraphDef{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[0]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *MetaGraphDef) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*MetaGraphDef) ProtoMessage() {}
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func (x *MetaGraphDef) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[0]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use MetaGraphDef.ProtoReflect.Descriptor instead.
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func (*MetaGraphDef) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{0}
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}
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func (x *MetaGraphDef) GetMetaInfoDef() *MetaGraphDef_MetaInfoDef {
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if x != nil {
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return x.MetaInfoDef
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}
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return nil
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}
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func (x *MetaGraphDef) GetGraphDef() *framework.GraphDef {
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if x != nil {
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return x.GraphDef
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}
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return nil
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}
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func (x *MetaGraphDef) GetSaverDef() *SaverDef {
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if x != nil {
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return x.SaverDef
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}
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return nil
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}
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func (x *MetaGraphDef) GetCollectionDef() map[string]*CollectionDef {
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if x != nil {
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return x.CollectionDef
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}
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return nil
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}
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func (x *MetaGraphDef) GetSignatureDef() map[string]*SignatureDef {
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if x != nil {
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return x.SignatureDef
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}
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return nil
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}
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func (x *MetaGraphDef) GetAssetFileDef() []*AssetFileDef {
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if x != nil {
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return x.AssetFileDef
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}
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return nil
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}
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// CollectionDef should cover most collections.
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// To add a user-defined collection, do one of the following:
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// 1. For simple data types, such as string, int, float:
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// tf.add_to_collection("your_collection_name", your_simple_value)
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// strings will be stored as bytes_list.
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//
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// 2. For Protobuf types, there are three ways to add them:
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//
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// 1. tf.add_to_collection("your_collection_name",
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// your_proto.SerializeToString())
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//
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// collection_def {
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// key: "user_defined_bytes_collection"
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// value {
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// bytes_list {
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// value: "queue_name: \"test_queue\"\n"
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// }
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// }
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// }
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//
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// or
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//
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// 2. tf.add_to_collection("your_collection_name", str(your_proto))
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//
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// collection_def {
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// key: "user_defined_string_collection"
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// value {
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// bytes_list {
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// value: "\n\ntest_queue"
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// }
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// }
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// }
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//
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// or
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//
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// 3. any_buf = any_pb2.Any()
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// tf.add_to_collection("your_collection_name",
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// any_buf.Pack(your_proto))
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//
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// collection_def {
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// key: "user_defined_any_collection"
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// value {
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// any_list {
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// value {
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// type_url: "type.googleapis.com/tensorflow.QueueRunnerDef"
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// value: "\n\ntest_queue"
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// }
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// }
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// }
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// }
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//
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// 3. For Python objects, implement to_proto() and from_proto(), and register
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// them in the following manner:
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// ops.register_proto_function("your_collection_name",
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// proto_type,
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// to_proto=YourPythonObject.to_proto,
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// from_proto=YourPythonObject.from_proto)
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// These functions will be invoked to serialize and de-serialize the
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// collection. For example,
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// ops.register_proto_function(ops.GraphKeys.GLOBAL_VARIABLES,
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// proto_type=variable_pb2.VariableDef,
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// to_proto=Variable.to_proto,
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// from_proto=Variable.from_proto)
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type CollectionDef struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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// Types that are assignable to Kind:
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//
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// *CollectionDef_NodeList_
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// *CollectionDef_BytesList_
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// *CollectionDef_Int64List_
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// *CollectionDef_FloatList_
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// *CollectionDef_AnyList_
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Kind isCollectionDef_Kind `protobuf_oneof:"kind"`
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}
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func (x *CollectionDef) Reset() {
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*x = CollectionDef{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[1]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *CollectionDef) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*CollectionDef) ProtoMessage() {}
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func (x *CollectionDef) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[1]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use CollectionDef.ProtoReflect.Descriptor instead.
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func (*CollectionDef) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1}
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}
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func (m *CollectionDef) GetKind() isCollectionDef_Kind {
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if m != nil {
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return m.Kind
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}
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return nil
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}
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func (x *CollectionDef) GetNodeList() *CollectionDef_NodeList {
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if x, ok := x.GetKind().(*CollectionDef_NodeList_); ok {
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return x.NodeList
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}
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return nil
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}
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func (x *CollectionDef) GetBytesList() *CollectionDef_BytesList {
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if x, ok := x.GetKind().(*CollectionDef_BytesList_); ok {
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return x.BytesList
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}
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return nil
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}
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func (x *CollectionDef) GetInt64List() *CollectionDef_Int64List {
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if x, ok := x.GetKind().(*CollectionDef_Int64List_); ok {
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return x.Int64List
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}
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return nil
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}
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func (x *CollectionDef) GetFloatList() *CollectionDef_FloatList {
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if x, ok := x.GetKind().(*CollectionDef_FloatList_); ok {
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return x.FloatList
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}
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return nil
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}
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func (x *CollectionDef) GetAnyList() *CollectionDef_AnyList {
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if x, ok := x.GetKind().(*CollectionDef_AnyList_); ok {
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return x.AnyList
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}
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return nil
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}
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type isCollectionDef_Kind interface {
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isCollectionDef_Kind()
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}
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type CollectionDef_NodeList_ struct {
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NodeList *CollectionDef_NodeList `protobuf:"bytes,1,opt,name=node_list,json=nodeList,proto3,oneof"`
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}
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type CollectionDef_BytesList_ struct {
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BytesList *CollectionDef_BytesList `protobuf:"bytes,2,opt,name=bytes_list,json=bytesList,proto3,oneof"`
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}
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type CollectionDef_Int64List_ struct {
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Int64List *CollectionDef_Int64List `protobuf:"bytes,3,opt,name=int64_list,json=int64List,proto3,oneof"`
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}
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type CollectionDef_FloatList_ struct {
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FloatList *CollectionDef_FloatList `protobuf:"bytes,4,opt,name=float_list,json=floatList,proto3,oneof"`
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}
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type CollectionDef_AnyList_ struct {
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AnyList *CollectionDef_AnyList `protobuf:"bytes,5,opt,name=any_list,json=anyList,proto3,oneof"`
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}
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func (*CollectionDef_NodeList_) isCollectionDef_Kind() {}
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func (*CollectionDef_BytesList_) isCollectionDef_Kind() {}
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func (*CollectionDef_Int64List_) isCollectionDef_Kind() {}
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func (*CollectionDef_FloatList_) isCollectionDef_Kind() {}
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func (*CollectionDef_AnyList_) isCollectionDef_Kind() {}
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// Information about a Tensor necessary for feeding or retrieval.
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type TensorInfo struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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// Types that are assignable to Encoding:
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//
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// *TensorInfo_Name
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// *TensorInfo_CooSparse_
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Encoding isTensorInfo_Encoding `protobuf_oneof:"encoding"`
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Dtype framework.DataType `protobuf:"varint,2,opt,name=dtype,proto3,enum=tensorflow.DataType" json:"dtype,omitempty"`
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// The static shape should be recorded here, to the extent that it can
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// be known in advance. In the case of a SparseTensor, this field describes
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// the logical shape of the represented tensor (aka dense_shape).
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TensorShape *framework.TensorShapeProto `protobuf:"bytes,3,opt,name=tensor_shape,json=tensorShape,proto3" json:"tensor_shape,omitempty"`
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}
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func (x *TensorInfo) Reset() {
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*x = TensorInfo{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[2]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *TensorInfo) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*TensorInfo) ProtoMessage() {}
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func (x *TensorInfo) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[2]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use TensorInfo.ProtoReflect.Descriptor instead.
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func (*TensorInfo) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{2}
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}
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func (m *TensorInfo) GetEncoding() isTensorInfo_Encoding {
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if m != nil {
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return m.Encoding
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}
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return nil
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}
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func (x *TensorInfo) GetName() string {
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if x, ok := x.GetEncoding().(*TensorInfo_Name); ok {
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return x.Name
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}
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return ""
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}
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func (x *TensorInfo) GetCooSparse() *TensorInfo_CooSparse {
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if x, ok := x.GetEncoding().(*TensorInfo_CooSparse_); ok {
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return x.CooSparse
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}
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return nil
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}
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func (x *TensorInfo) GetDtype() framework.DataType {
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if x != nil {
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return x.Dtype
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}
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return framework.DataType(0)
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}
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func (x *TensorInfo) GetTensorShape() *framework.TensorShapeProto {
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if x != nil {
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return x.TensorShape
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}
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return nil
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}
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type isTensorInfo_Encoding interface {
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isTensorInfo_Encoding()
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}
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type TensorInfo_Name struct {
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// For dense `Tensor`s, the name of the tensor in the graph.
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Name string `protobuf:"bytes,1,opt,name=name,proto3,oneof"`
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}
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type TensorInfo_CooSparse_ struct {
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// There are many possible encodings of sparse matrices
|
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// (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
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// uses only the COO encoding. This is supported and documented in the
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// SparseTensor Python class.
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CooSparse *TensorInfo_CooSparse `protobuf:"bytes,4,opt,name=coo_sparse,json=cooSparse,proto3,oneof"`
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}
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func (*TensorInfo_Name) isTensorInfo_Encoding() {}
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func (*TensorInfo_CooSparse_) isTensorInfo_Encoding() {}
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|
|
// SignatureDef defines the signature of a computation supported by a TensorFlow
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// graph.
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//
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// For example, a model with two loss computations, sharing a single input,
|
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// might have the following signature_def map.
|
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//
|
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// Note that across the two SignatureDefs "loss_A" and "loss_B", the input key,
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// output key, and method_name are identical, and will be used by system(s) that
|
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// implement or rely upon this particular loss method. The output tensor names
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// differ, demonstrating how different outputs can exist for the same method.
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//
|
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// signature_def {
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// key: "loss_A"
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// value {
|
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// inputs {
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// key: "input"
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// value {
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// name: "input:0"
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// dtype: DT_STRING
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// tensor_shape: ...
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// }
|
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// }
|
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// outputs {
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// key: "loss_output"
|
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// value {
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// name: "loss_output_A:0"
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// dtype: DT_FLOAT
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// tensor_shape: ...
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// }
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// }
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// }
|
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// ...
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// method_name: "some/package/compute_loss"
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// }
|
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//
|
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// signature_def {
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// key: "loss_B"
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// value {
|
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// inputs {
|
|
// key: "input"
|
|
// value {
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// name: "input:0"
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// dtype: DT_STRING
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// tensor_shape: ...
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// }
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// }
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// outputs {
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// key: "loss_output"
|
|
// value {
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// name: "loss_output_B:0"
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// dtype: DT_FLOAT
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// tensor_shape: ...
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// }
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// }
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// }
|
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// ...
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// method_name: "some/package/compute_loss"
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// }
|
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type SignatureDef struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
// Named input parameters.
|
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Inputs map[string]*TensorInfo `protobuf:"bytes,1,rep,name=inputs,proto3" json:"inputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
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// Named output parameters.
|
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Outputs map[string]*TensorInfo `protobuf:"bytes,2,rep,name=outputs,proto3" json:"outputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
|
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// Extensible method_name information enabling third-party users to mark a
|
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// SignatureDef as supporting a particular method. This enables producers and
|
|
// consumers of SignatureDefs, e.g. a model definition library and a serving
|
|
// library to have a clear hand-off regarding the semantics of a computation.
|
|
//
|
|
// Note that multiple SignatureDefs in a single MetaGraphDef may have the same
|
|
// method_name. This is commonly used to support multi-headed computation,
|
|
// where a single graph computation may return multiple results.
|
|
MethodName string `protobuf:"bytes,3,opt,name=method_name,json=methodName,proto3" json:"method_name,omitempty"`
|
|
}
|
|
|
|
func (x *SignatureDef) Reset() {
|
|
*x = SignatureDef{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[3]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *SignatureDef) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*SignatureDef) ProtoMessage() {}
|
|
|
|
func (x *SignatureDef) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[3]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use SignatureDef.ProtoReflect.Descriptor instead.
|
|
func (*SignatureDef) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{3}
|
|
}
|
|
|
|
func (x *SignatureDef) GetInputs() map[string]*TensorInfo {
|
|
if x != nil {
|
|
return x.Inputs
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *SignatureDef) GetOutputs() map[string]*TensorInfo {
|
|
if x != nil {
|
|
return x.Outputs
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *SignatureDef) GetMethodName() string {
|
|
if x != nil {
|
|
return x.MethodName
|
|
}
|
|
return ""
|
|
}
|
|
|
|
// An asset file def for a single file or a set of sharded files with the same
|
|
// name.
|
|
type AssetFileDef struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
// The tensor to bind the asset filename to.
|
|
TensorInfo *TensorInfo `protobuf:"bytes,1,opt,name=tensor_info,json=tensorInfo,proto3" json:"tensor_info,omitempty"`
|
|
// The filename within an assets directory. Note: does not include the path
|
|
// prefix, i.e. directories. For an asset at /tmp/path/vocab.txt, the filename
|
|
// would be "vocab.txt".
|
|
Filename string `protobuf:"bytes,2,opt,name=filename,proto3" json:"filename,omitempty"`
|
|
}
|
|
|
|
func (x *AssetFileDef) Reset() {
|
|
*x = AssetFileDef{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[4]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *AssetFileDef) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*AssetFileDef) ProtoMessage() {}
|
|
|
|
func (x *AssetFileDef) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[4]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use AssetFileDef.ProtoReflect.Descriptor instead.
|
|
func (*AssetFileDef) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{4}
|
|
}
|
|
|
|
func (x *AssetFileDef) GetTensorInfo() *TensorInfo {
|
|
if x != nil {
|
|
return x.TensorInfo
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *AssetFileDef) GetFilename() string {
|
|
if x != nil {
|
|
return x.Filename
|
|
}
|
|
return ""
|
|
}
|
|
|
|
// Meta information regarding the graph to be exported. To be used by users
|
|
// of this protocol buffer to encode information regarding their meta graph.
|
|
type MetaGraphDef_MetaInfoDef struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
// User specified Version string. Can be the name of the model and revision,
|
|
// steps this model has been trained to, etc.
|
|
MetaGraphVersion string `protobuf:"bytes,1,opt,name=meta_graph_version,json=metaGraphVersion,proto3" json:"meta_graph_version,omitempty"`
|
|
// A copy of the OpDefs used by the producer of this graph_def.
|
|
// Descriptions and Ops not used in graph_def are stripped out.
|
|
StrippedOpList *framework.OpList `protobuf:"bytes,2,opt,name=stripped_op_list,json=strippedOpList,proto3" json:"stripped_op_list,omitempty"`
|
|
// A serialized protobuf. Can be the time this meta graph is created, or
|
|
// modified, or name of the model.
|
|
AnyInfo *anypb.Any `protobuf:"bytes,3,opt,name=any_info,json=anyInfo,proto3" json:"any_info,omitempty"`
|
|
// User supplied tag(s) on the meta_graph and included graph_def.
|
|
//
|
|
// MetaGraphDefs should be tagged with their capabilities or use-cases.
|
|
// Examples: "train", "serve", "gpu", "tpu", etc.
|
|
// These tags enable loaders to access the MetaGraph(s) appropriate for a
|
|
// specific use-case or runtime environment.
|
|
Tags []string `protobuf:"bytes,4,rep,name=tags,proto3" json:"tags,omitempty"`
|
|
// The __version__ string of the tensorflow build used to write this graph.
|
|
// This will be populated by the framework, which will overwrite any user
|
|
// supplied value.
|
|
TensorflowVersion string `protobuf:"bytes,5,opt,name=tensorflow_version,json=tensorflowVersion,proto3" json:"tensorflow_version,omitempty"`
|
|
// The __git_version__ string of the tensorflow build used to write this
|
|
// graph. This will be populated by the framework, which will overwrite any
|
|
// user supplied value.
|
|
TensorflowGitVersion string `protobuf:"bytes,6,opt,name=tensorflow_git_version,json=tensorflowGitVersion,proto3" json:"tensorflow_git_version,omitempty"`
|
|
// A flag to denote whether default-valued attrs have been stripped from
|
|
// the nodes in this graph_def.
|
|
StrippedDefaultAttrs bool `protobuf:"varint,7,opt,name=stripped_default_attrs,json=strippedDefaultAttrs,proto3" json:"stripped_default_attrs,omitempty"`
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) Reset() {
|
|
*x = MetaGraphDef_MetaInfoDef{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[5]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*MetaGraphDef_MetaInfoDef) ProtoMessage() {}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[5]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use MetaGraphDef_MetaInfoDef.ProtoReflect.Descriptor instead.
|
|
func (*MetaGraphDef_MetaInfoDef) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{0, 0}
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetMetaGraphVersion() string {
|
|
if x != nil {
|
|
return x.MetaGraphVersion
|
|
}
|
|
return ""
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetStrippedOpList() *framework.OpList {
|
|
if x != nil {
|
|
return x.StrippedOpList
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetAnyInfo() *anypb.Any {
|
|
if x != nil {
|
|
return x.AnyInfo
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetTags() []string {
|
|
if x != nil {
|
|
return x.Tags
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetTensorflowVersion() string {
|
|
if x != nil {
|
|
return x.TensorflowVersion
|
|
}
|
|
return ""
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetTensorflowGitVersion() string {
|
|
if x != nil {
|
|
return x.TensorflowGitVersion
|
|
}
|
|
return ""
|
|
}
|
|
|
|
func (x *MetaGraphDef_MetaInfoDef) GetStrippedDefaultAttrs() bool {
|
|
if x != nil {
|
|
return x.StrippedDefaultAttrs
|
|
}
|
|
return false
|
|
}
|
|
|
|
// NodeList is used for collecting nodes in graph. For example
|
|
//
|
|
// collection_def {
|
|
// key: "summaries"
|
|
// value {
|
|
// node_list {
|
|
// value: "input_producer/ScalarSummary:0"
|
|
// value: "shuffle_batch/ScalarSummary:0"
|
|
// value: "ImageSummary:0"
|
|
// }
|
|
// }
|
|
type CollectionDef_NodeList struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
Value []string `protobuf:"bytes,1,rep,name=value,proto3" json:"value,omitempty"`
|
|
}
|
|
|
|
func (x *CollectionDef_NodeList) Reset() {
|
|
*x = CollectionDef_NodeList{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[8]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *CollectionDef_NodeList) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*CollectionDef_NodeList) ProtoMessage() {}
|
|
|
|
func (x *CollectionDef_NodeList) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[8]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use CollectionDef_NodeList.ProtoReflect.Descriptor instead.
|
|
func (*CollectionDef_NodeList) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1, 0}
|
|
}
|
|
|
|
func (x *CollectionDef_NodeList) GetValue() []string {
|
|
if x != nil {
|
|
return x.Value
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// BytesList is used for collecting strings and serialized protobufs. For
|
|
// example:
|
|
//
|
|
// collection_def {
|
|
// key: "trainable_variables"
|
|
// value {
|
|
// bytes_list {
|
|
// value: "\n\017conv1/weights:0\022\024conv1/weights/Assign
|
|
// \032\024conv1/weights/read:0"
|
|
// value: "\n\016conv1/biases:0\022\023conv1/biases/Assign\032
|
|
// \023conv1/biases/read:0"
|
|
// }
|
|
// }
|
|
// }
|
|
type CollectionDef_BytesList struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
Value [][]byte `protobuf:"bytes,1,rep,name=value,proto3" json:"value,omitempty"`
|
|
}
|
|
|
|
func (x *CollectionDef_BytesList) Reset() {
|
|
*x = CollectionDef_BytesList{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[9]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *CollectionDef_BytesList) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*CollectionDef_BytesList) ProtoMessage() {}
|
|
|
|
func (x *CollectionDef_BytesList) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[9]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use CollectionDef_BytesList.ProtoReflect.Descriptor instead.
|
|
func (*CollectionDef_BytesList) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1, 1}
|
|
}
|
|
|
|
func (x *CollectionDef_BytesList) GetValue() [][]byte {
|
|
if x != nil {
|
|
return x.Value
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// Int64List is used for collecting int, int64 and long values.
|
|
type CollectionDef_Int64List struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
Value []int64 `protobuf:"varint,1,rep,packed,name=value,proto3" json:"value,omitempty"`
|
|
}
|
|
|
|
func (x *CollectionDef_Int64List) Reset() {
|
|
*x = CollectionDef_Int64List{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[10]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *CollectionDef_Int64List) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*CollectionDef_Int64List) ProtoMessage() {}
|
|
|
|
func (x *CollectionDef_Int64List) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[10]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use CollectionDef_Int64List.ProtoReflect.Descriptor instead.
|
|
func (*CollectionDef_Int64List) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1, 2}
|
|
}
|
|
|
|
func (x *CollectionDef_Int64List) GetValue() []int64 {
|
|
if x != nil {
|
|
return x.Value
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// FloatList is used for collecting float values.
|
|
type CollectionDef_FloatList struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
Value []float32 `protobuf:"fixed32,1,rep,packed,name=value,proto3" json:"value,omitempty"`
|
|
}
|
|
|
|
func (x *CollectionDef_FloatList) Reset() {
|
|
*x = CollectionDef_FloatList{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[11]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *CollectionDef_FloatList) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*CollectionDef_FloatList) ProtoMessage() {}
|
|
|
|
func (x *CollectionDef_FloatList) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[11]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use CollectionDef_FloatList.ProtoReflect.Descriptor instead.
|
|
func (*CollectionDef_FloatList) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1, 3}
|
|
}
|
|
|
|
func (x *CollectionDef_FloatList) GetValue() []float32 {
|
|
if x != nil {
|
|
return x.Value
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// AnyList is used for collecting Any protos.
|
|
type CollectionDef_AnyList struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
Value []*anypb.Any `protobuf:"bytes,1,rep,name=value,proto3" json:"value,omitempty"`
|
|
}
|
|
|
|
func (x *CollectionDef_AnyList) Reset() {
|
|
*x = CollectionDef_AnyList{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[12]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *CollectionDef_AnyList) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*CollectionDef_AnyList) ProtoMessage() {}
|
|
|
|
func (x *CollectionDef_AnyList) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[12]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use CollectionDef_AnyList.ProtoReflect.Descriptor instead.
|
|
func (*CollectionDef_AnyList) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{1, 4}
|
|
}
|
|
|
|
func (x *CollectionDef_AnyList) GetValue() []*anypb.Any {
|
|
if x != nil {
|
|
return x.Value
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// For sparse tensors, The COO encoding stores a triple of values, indices,
|
|
// and shape.
|
|
type TensorInfo_CooSparse struct {
|
|
state protoimpl.MessageState
|
|
sizeCache protoimpl.SizeCache
|
|
unknownFields protoimpl.UnknownFields
|
|
|
|
// The shape of the values Tensor is [?]. Its dtype must be the dtype of
|
|
// the SparseTensor as a whole, given in the enclosing TensorInfo.
|
|
ValuesTensorName string `protobuf:"bytes,1,opt,name=values_tensor_name,json=valuesTensorName,proto3" json:"values_tensor_name,omitempty"`
|
|
// The indices Tensor must have dtype int64 and shape [?, ?].
|
|
IndicesTensorName string `protobuf:"bytes,2,opt,name=indices_tensor_name,json=indicesTensorName,proto3" json:"indices_tensor_name,omitempty"`
|
|
// The dynamic logical shape represented by the SparseTensor is recorded in
|
|
// the Tensor referenced here. It must have dtype int64 and shape [?].
|
|
DenseShapeTensorName string `protobuf:"bytes,3,opt,name=dense_shape_tensor_name,json=denseShapeTensorName,proto3" json:"dense_shape_tensor_name,omitempty"`
|
|
}
|
|
|
|
func (x *TensorInfo_CooSparse) Reset() {
|
|
*x = TensorInfo_CooSparse{}
|
|
if protoimpl.UnsafeEnabled {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[13]
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
}
|
|
|
|
func (x *TensorInfo_CooSparse) String() string {
|
|
return protoimpl.X.MessageStringOf(x)
|
|
}
|
|
|
|
func (*TensorInfo_CooSparse) ProtoMessage() {}
|
|
|
|
func (x *TensorInfo_CooSparse) ProtoReflect() protoreflect.Message {
|
|
mi := &file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[13]
|
|
if protoimpl.UnsafeEnabled && x != nil {
|
|
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
|
|
if ms.LoadMessageInfo() == nil {
|
|
ms.StoreMessageInfo(mi)
|
|
}
|
|
return ms
|
|
}
|
|
return mi.MessageOf(x)
|
|
}
|
|
|
|
// Deprecated: Use TensorInfo_CooSparse.ProtoReflect.Descriptor instead.
|
|
func (*TensorInfo_CooSparse) Descriptor() ([]byte, []int) {
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP(), []int{2, 0}
|
|
}
|
|
|
|
func (x *TensorInfo_CooSparse) GetValuesTensorName() string {
|
|
if x != nil {
|
|
return x.ValuesTensorName
|
|
}
|
|
return ""
|
|
}
|
|
|
|
func (x *TensorInfo_CooSparse) GetIndicesTensorName() string {
|
|
if x != nil {
|
|
return x.IndicesTensorName
|
|
}
|
|
return ""
|
|
}
|
|
|
|
func (x *TensorInfo_CooSparse) GetDenseShapeTensorName() string {
|
|
if x != nil {
|
|
return x.DenseShapeTensorName
|
|
}
|
|
return ""
|
|
}
|
|
|
|
var File_tensorflow_core_protobuf_meta_graph_proto protoreflect.FileDescriptor
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var file_tensorflow_core_protobuf_meta_graph_proto_rawDesc = []byte{
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}
|
|
|
|
var (
|
|
file_tensorflow_core_protobuf_meta_graph_proto_rawDescOnce sync.Once
|
|
file_tensorflow_core_protobuf_meta_graph_proto_rawDescData = file_tensorflow_core_protobuf_meta_graph_proto_rawDesc
|
|
)
|
|
|
|
func file_tensorflow_core_protobuf_meta_graph_proto_rawDescGZIP() []byte {
|
|
file_tensorflow_core_protobuf_meta_graph_proto_rawDescOnce.Do(func() {
|
|
file_tensorflow_core_protobuf_meta_graph_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_protobuf_meta_graph_proto_rawDescData)
|
|
})
|
|
return file_tensorflow_core_protobuf_meta_graph_proto_rawDescData
|
|
}
|
|
|
|
var file_tensorflow_core_protobuf_meta_graph_proto_msgTypes = make([]protoimpl.MessageInfo, 16)
|
|
var file_tensorflow_core_protobuf_meta_graph_proto_goTypes = []interface{}{
|
|
(*MetaGraphDef)(nil), // 0: tensorflow.MetaGraphDef
|
|
(*CollectionDef)(nil), // 1: tensorflow.CollectionDef
|
|
(*TensorInfo)(nil), // 2: tensorflow.TensorInfo
|
|
(*SignatureDef)(nil), // 3: tensorflow.SignatureDef
|
|
(*AssetFileDef)(nil), // 4: tensorflow.AssetFileDef
|
|
(*MetaGraphDef_MetaInfoDef)(nil), // 5: tensorflow.MetaGraphDef.MetaInfoDef
|
|
nil, // 6: tensorflow.MetaGraphDef.CollectionDefEntry
|
|
nil, // 7: tensorflow.MetaGraphDef.SignatureDefEntry
|
|
(*CollectionDef_NodeList)(nil), // 8: tensorflow.CollectionDef.NodeList
|
|
(*CollectionDef_BytesList)(nil), // 9: tensorflow.CollectionDef.BytesList
|
|
(*CollectionDef_Int64List)(nil), // 10: tensorflow.CollectionDef.Int64List
|
|
(*CollectionDef_FloatList)(nil), // 11: tensorflow.CollectionDef.FloatList
|
|
(*CollectionDef_AnyList)(nil), // 12: tensorflow.CollectionDef.AnyList
|
|
(*TensorInfo_CooSparse)(nil), // 13: tensorflow.TensorInfo.CooSparse
|
|
nil, // 14: tensorflow.SignatureDef.InputsEntry
|
|
nil, // 15: tensorflow.SignatureDef.OutputsEntry
|
|
(*framework.GraphDef)(nil), // 16: tensorflow.GraphDef
|
|
(*SaverDef)(nil), // 17: tensorflow.SaverDef
|
|
(framework.DataType)(0), // 18: tensorflow.DataType
|
|
(*framework.TensorShapeProto)(nil), // 19: tensorflow.TensorShapeProto
|
|
(*framework.OpList)(nil), // 20: tensorflow.OpList
|
|
(*anypb.Any)(nil), // 21: google.protobuf.Any
|
|
}
|
|
var file_tensorflow_core_protobuf_meta_graph_proto_depIdxs = []int32{
|
|
5, // 0: tensorflow.MetaGraphDef.meta_info_def:type_name -> tensorflow.MetaGraphDef.MetaInfoDef
|
|
16, // 1: tensorflow.MetaGraphDef.graph_def:type_name -> tensorflow.GraphDef
|
|
17, // 2: tensorflow.MetaGraphDef.saver_def:type_name -> tensorflow.SaverDef
|
|
6, // 3: tensorflow.MetaGraphDef.collection_def:type_name -> tensorflow.MetaGraphDef.CollectionDefEntry
|
|
7, // 4: tensorflow.MetaGraphDef.signature_def:type_name -> tensorflow.MetaGraphDef.SignatureDefEntry
|
|
4, // 5: tensorflow.MetaGraphDef.asset_file_def:type_name -> tensorflow.AssetFileDef
|
|
8, // 6: tensorflow.CollectionDef.node_list:type_name -> tensorflow.CollectionDef.NodeList
|
|
9, // 7: tensorflow.CollectionDef.bytes_list:type_name -> tensorflow.CollectionDef.BytesList
|
|
10, // 8: tensorflow.CollectionDef.int64_list:type_name -> tensorflow.CollectionDef.Int64List
|
|
11, // 9: tensorflow.CollectionDef.float_list:type_name -> tensorflow.CollectionDef.FloatList
|
|
12, // 10: tensorflow.CollectionDef.any_list:type_name -> tensorflow.CollectionDef.AnyList
|
|
13, // 11: tensorflow.TensorInfo.coo_sparse:type_name -> tensorflow.TensorInfo.CooSparse
|
|
18, // 12: tensorflow.TensorInfo.dtype:type_name -> tensorflow.DataType
|
|
19, // 13: tensorflow.TensorInfo.tensor_shape:type_name -> tensorflow.TensorShapeProto
|
|
14, // 14: tensorflow.SignatureDef.inputs:type_name -> tensorflow.SignatureDef.InputsEntry
|
|
15, // 15: tensorflow.SignatureDef.outputs:type_name -> tensorflow.SignatureDef.OutputsEntry
|
|
2, // 16: tensorflow.AssetFileDef.tensor_info:type_name -> tensorflow.TensorInfo
|
|
20, // 17: tensorflow.MetaGraphDef.MetaInfoDef.stripped_op_list:type_name -> tensorflow.OpList
|
|
21, // 18: tensorflow.MetaGraphDef.MetaInfoDef.any_info:type_name -> google.protobuf.Any
|
|
1, // 19: tensorflow.MetaGraphDef.CollectionDefEntry.value:type_name -> tensorflow.CollectionDef
|
|
3, // 20: tensorflow.MetaGraphDef.SignatureDefEntry.value:type_name -> tensorflow.SignatureDef
|
|
21, // 21: tensorflow.CollectionDef.AnyList.value:type_name -> google.protobuf.Any
|
|
2, // 22: tensorflow.SignatureDef.InputsEntry.value:type_name -> tensorflow.TensorInfo
|
|
2, // 23: tensorflow.SignatureDef.OutputsEntry.value:type_name -> tensorflow.TensorInfo
|
|
24, // [24:24] is the sub-list for method output_type
|
|
24, // [24:24] is the sub-list for method input_type
|
|
24, // [24:24] is the sub-list for extension type_name
|
|
24, // [24:24] is the sub-list for extension extendee
|
|
0, // [0:24] is the sub-list for field type_name
|
|
}
|
|
|
|
func init() { file_tensorflow_core_protobuf_meta_graph_proto_init() }
|
|
func file_tensorflow_core_protobuf_meta_graph_proto_init() {
|
|
if File_tensorflow_core_protobuf_meta_graph_proto != nil {
|
|
return
|
|
}
|
|
file_tensorflow_core_protobuf_saver_proto_init()
|
|
if !protoimpl.UnsafeEnabled {
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*MetaGraphDef); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*TensorInfo); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*SignatureDef); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*AssetFileDef); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*MetaGraphDef_MetaInfoDef); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef_NodeList); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef_BytesList); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef_Int64List); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef_FloatList); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*CollectionDef_AnyList); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*TensorInfo_CooSparse); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[1].OneofWrappers = []interface{}{
|
|
(*CollectionDef_NodeList_)(nil),
|
|
(*CollectionDef_BytesList_)(nil),
|
|
(*CollectionDef_Int64List_)(nil),
|
|
(*CollectionDef_FloatList_)(nil),
|
|
(*CollectionDef_AnyList_)(nil),
|
|
}
|
|
file_tensorflow_core_protobuf_meta_graph_proto_msgTypes[2].OneofWrappers = []interface{}{
|
|
(*TensorInfo_Name)(nil),
|
|
(*TensorInfo_CooSparse_)(nil),
|
|
}
|
|
type x struct{}
|
|
out := protoimpl.TypeBuilder{
|
|
File: protoimpl.DescBuilder{
|
|
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
|
|
RawDescriptor: file_tensorflow_core_protobuf_meta_graph_proto_rawDesc,
|
|
NumEnums: 0,
|
|
NumMessages: 16,
|
|
NumExtensions: 0,
|
|
NumServices: 0,
|
|
},
|
|
GoTypes: file_tensorflow_core_protobuf_meta_graph_proto_goTypes,
|
|
DependencyIndexes: file_tensorflow_core_protobuf_meta_graph_proto_depIdxs,
|
|
MessageInfos: file_tensorflow_core_protobuf_meta_graph_proto_msgTypes,
|
|
}.Build()
|
|
File_tensorflow_core_protobuf_meta_graph_proto = out.File
|
|
file_tensorflow_core_protobuf_meta_graph_proto_rawDesc = nil
|
|
file_tensorflow_core_protobuf_meta_graph_proto_goTypes = nil
|
|
file_tensorflow_core_protobuf_meta_graph_proto_depIdxs = nil
|
|
}
|