Module tfrecord::protos [−][src]
ProtocolBuffer types compiled from TensorFlow.
The types are provided by ProtocolBuffer documents from TensorFlow repository. They are used internally for {,de}serialization.
Modules
Structs
| AllocationDescription | |
| AllocationRecord | An allocation/de-allocation operation performed by the allocator. |
| AllocatorMemoryUsed | |
| ApiDef | Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone. There will be a set of ApiDefs that are common to all client languages, and another set per client language. The per-client-language ApiDefs will inherit values from the common ApiDefs which it can either replace or modify. |
| ApiDefs | |
| AttrValue | Protocol buffer representing the value for an attr used to configure an Op. Comment indicates the corresponding attr type. Only the field matching the attr type may be filled. |
| BytesList | Containers to hold repeated fundamental values. |
| CostGraphDef | |
| DeviceAttributes | |
| DeviceLocality | |
| DeviceStepStats | |
| Event | Protocol buffer representing an event that happened during the execution of a Brain model. |
| Example | |
| ExampleParserConfiguration | |
| Feature | Containers for non-sequential data. |
| FeatureConfiguration | |
| FeatureList | Containers for sequential data. |
| FeatureLists | |
| Features | |
| FixedLenFeatureProto | |
| FloatList | |
| FunctionDef | A function can be instantiated when the runtime can bind every attr with a value. When a GraphDef has a call to a function, it must have binding for every attr defined in the signature. |
| FunctionDefLibrary | A library is a set of named functions. |
| GradientDef | GradientDef defines the gradient function of a function defined in a function library. |
| GraphDef | Represents the graph of operations |
| GraphTransferConstNodeInfo | |
| GraphTransferGraphInputNodeInfo | |
| GraphTransferGraphOutputNodeInfo | |
| GraphTransferInfo | Protocol buffer representing a handle to a tensorflow resource. Handles are not valid across executions, but can be serialized back and forth from within a single run. |
| GraphTransferNodeInfo | |
| GraphTransferNodeInput | |
| GraphTransferNodeInputInfo | |
| GraphTransferNodeOutputInfo | |
| HistogramProto | Serialization format for histogram module in core/lib/histogram/histogram.h |
| Int64List | |
| InterconnectLink | |
| KernelDef | |
| KernelList | A collection of KernelDefs |
| LocalLinks | |
| LogMessage | Protocol buffer used for logging messages to the events file. |
| MemoryLogRawAllocation | |
| MemoryLogRawDeallocation | |
| MemoryLogStep | |
| MemoryLogTensorAllocation | |
| MemoryLogTensorDeallocation | |
| MemoryLogTensorOutput | |
| MemoryStats | For memory tracking. |
| NameAttrList | A list of attr names and their values. The whole list is attached with a string name. E.g., MatMul[T=float]. |
| NodeDef | |
| NodeExecStats | Time/size stats recorded for a single execution of a graph node. |
| NodeOutput | Output sizes recorded for a single execution of a graph node. |
| OpDef | Defines an operation. A NodeDef in a GraphDef specifies an Op by using the “op” field which should match the name of a OpDef. LINT.IfChange |
| OpDeprecation | Information about version-dependent deprecation of an op |
| OpList | A collection of OpDefs |
| ReaderBaseState | For serializing and restoring the state of ReaderBase, see reader_base.h for details. |
| RemoteFusedGraphExecuteInfo | Protocol buffer representing a handle to a tensorflow resource. Handles are not valid across executions, but can be serialized back and forth from within a single run. |
| RequestedExitCode | |
| ResourceHandleProto | Protocol buffer representing a handle to a tensorflow resource. Handles are not valid across executions, but can be serialized back and forth from within a single run. |
| SaveSliceInfoDef | |
| SequenceExample | |
| SessionLog | Protocol buffer used for logging session state. |
| StepStats | |
| Summary | A Summary is a set of named values to be displayed by the visualizer. |
| SummaryDescription | Metadata associated with a series of Summary data |
| SummaryMetadata | A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value. |
| TaggedRunMetadata | For logging the metadata output for a single session.run() call. |
| TensorDescription | |
| TensorProto | Protocol buffer representing a tensor. |
| TensorShapeProto | Dimensions of a tensor. |
| TensorSliceProto | Can only be interpreted if you know the corresponding TensorShape. |
| VarLenFeatureProto | |
| VariableDef | Protocol buffer representing a Variable. |
| VariantTensorDataProto | Protocol buffer representing the serialization format of DT_VARIANT tensors. |
| VersionDef | Version information for a piece of serialized data |
| WatchdogConfig | |
| WorkerHeartbeatRequest | |
| WorkerHeartbeatResponse |
Enums
| DataClass | |
| DataType | (== suppress_warning documentation-presence ==) LINT.IfChange |
| VariableAggregation | Indicates how a distributed variable will be aggregated. |
| VariableSynchronization | Indicates when a distributed variable will be synced. |
| WorkerHealth | Current health status of a worker. |
| WorkerShutdownMode | Indicates the behavior of the worker when an internal error or shutdown signal is received. |