update tensorflow serving protos to 2.4.0

Author: emacski

.bazelrc

@@ -1,5 +1,5 @@
 # upstream tensorflow/serving version
-build --embed_label=2.3.0
+build --embed_label=2.4.0
 
 build --verbose_failures
 # enable proper toolchain resolution for cc rules

README.md

@@ -25,13 +25,13 @@ Additionally, a pure python3 wheel is published that includes the `tensorflow_se
 **Install Wheels with `pip`**
 ```sh
 # on linux_amd64 python 3.7
-pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.3.0/tensorflow_serving_arm_client-2.3.0-cp37-none-manylinux2014_x86_64.whl
+pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.4.0/tensorflow_serving_arm_client-2.4.0-cp37-none-manylinux2014_x86_64.whl
 # on linux_arm64 python 3.7
-pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.3.0/tensorflow_serving_arm_client-2.3.0-cp37-none-manylinux2014_aarch64.whl
+pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.4.0/tensorflow_serving_arm_client-2.4.0-cp37-none-manylinux2014_aarch64.whl
 # on linux_arm python 3.7
-pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.3.0/tensorflow_serving_arm_client-2.3.0-cp37-none-manylinux2014_armv7l.whl
+pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.4.0/tensorflow_serving_arm_client-2.4.0-cp37-none-manylinux2014_armv7l.whl
 # pure python 3 (will also install grpcio and protobuf pypi packages)
-pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.3.0/tensorflow_serving_arm_client-2.3.0-py3-none-any.whl
+pip install https://github.com/emacski/tensorflow-serving-arm-client/releases/download/2.4.0/tensorflow_serving_arm_client-2.4.0-py3-none-any.whl
 ```
 
 **Building Wheels From Source**

proto/tensorflow/core/BUILD

@@ -19,6 +19,7 @@ proto_library(
         "protobuf/cluster.proto",
         "protobuf/config.proto",
         "protobuf/control_flow.proto",
+        "protobuf/data/experimental/service_config.proto",
         "protobuf/data/experimental/snapshot.proto",
         "protobuf/debug.proto",
         "protobuf/debug_event.proto",

proto/tensorflow/core/framework/types.proto

@@ -74,3 +74,14 @@ enum DataType {
 //    https://www.tensorflow.org/code/tensorflow/core/framework/types.cc,
 //    https://www.tensorflow.org/code/tensorflow/python/framework/dtypes.py,
 //    https://www.tensorflow.org/code/tensorflow/python/framework/function.py)
+
+// For identifying the underlying type of a variant. For variants, the types
+// listed here are a subset of the types in the variant type registry,
+// corresponding to commonly used variants which must occasionally be
+// special-cased.
+enum SpecializedType {
+  // Invalid/unknown specialized type.
+  ST_INVALID = 0;
+  // "tensorflow::TensorList" in the variant type registry.
+  ST_TENSOR_LIST = 1;
+}

proto/tensorflow/core/profiler/profiler_options.proto

@@ -2,6 +2,7 @@ syntax = "proto3";
 
 package tensorflow;
 
+// Next ID: 11
 message ProfileOptions {
   // Some default value of option are not proto3 default value. Use this version
   // to determine if we should use default option value instead of proto3
@@ -50,5 +51,35 @@ message ProfileOptions {
   // Whether serialize hlo_proto when XLA is used. (version >= 1)
   bool enable_hlo_proto = 7;
 
-  // next-field: 8
+  // The local profiler starts profiling at this Unix timestamp in nanoseconds.
+  uint64 start_timestamp_ns = 8;
+
+  // The local profiler collects `duration_ms` milliseconds of data. If the
+  // value is 0, profiling continues until interrupted.
+  uint64 duration_ms = 9;
+
+  // Directory to save profile data to. No-op when empty.
+  string repository_path = 10;
+}
+
+// Options for remote profiler session manager.
+// Next ID: 6
+message RemoteProfilerSessionManagerOptions {
+  // Options for each local profiler.
+  ProfileOptions profiler_options = 1;
+
+  // List of servers to profile. Supported formats: host:port.
+  repeated string service_addresses = 2;
+
+  // Unix timestamp of when the session was started.
+  uint64 session_creation_timestamp_ns = 3;
+
+  // Maximum time (in milliseconds) a profiling session manager waits for all
+  // profilers to finish after issuing gRPC request. If value is 0, session
+  // continues until interrupted. Otherwise, value must be greater than
+  // profiler_options.duration_ms.
+  uint64 max_session_duration_ms = 4;
+
+  // Start of profiling is delayed by this much (in milliseconds).
+  uint64 delay_ms = 5;
 }

proto/tensorflow/core/profiler/protobuf/xplane.proto

@@ -5,13 +5,15 @@ package tensorflow.profiler;
 option cc_enable_arenas = true;
 
 // A container of parallel XPlanes, generated by one or more profiling sources.
-// Next ID: 4
+// Next ID: 5
 message XSpace {
   repeated XPlane planes = 1;
   // Errors (if any) in the generation of planes.
   repeated string errors = 2;
   // Warnings (if any) in the generation of planes;
   repeated string warnings = 3;
+  // List of hostnames that XPlanes are generated from.
+  repeated string hostnames = 4;
 }
 
 // An XPlane is a container of parallel timelines (XLines), generated by a
@@ -36,6 +38,7 @@ message XPlane {
   map<int64, XStatMetadata> stat_metadata = 5;
 
   // XStats associated with this plane, e.g. device capabilities.
+  // Each of these XStats should have a different metadata_id.
   repeated XStat stats = 6;
 }
 
@@ -89,6 +92,7 @@ message XEvent {
   int64 duration_ps = 3;
 
   // XStats associated with the event.
+  // Each of these XStats should have a different metadata_id.
   repeated XStat stats = 4;
 }
 
@@ -112,8 +116,9 @@ message XStat {
   }
 }
 
-// Metadata for an XEvent, shared by all instances of the same event.
-// Next ID: 5
+// Metadata for an XEvent, corresponds to an event type and is shared by
+// all XEvents with the same metadata_id.
+// Next ID: 6
 message XEventMetadata {
   // XPlane.event_metadata map key.
   int64 id = 1;
@@ -126,15 +131,21 @@ message XEventMetadata {
 
   // Additional metadata in serialized format.
   bytes metadata = 3;
+
+  // XStats that are constant for all XEvents with the same metadata_id.
+  // Each of these XStats should have a different metadata_id.
+  repeated XStat stats = 5;
 }
 
-// Metadata for an XStat, shared by all instances of the same stat.
+// Metadata for an XStat, corresponds to a stat type and is shared by all
+// XStats with the same metadata_id.
 // Next ID: 4
 message XStatMetadata {
   // XPlane.stat_metadata map key.
   int64 id = 1;
 
   // Name of the stat (should be short).
+  // Two XStatMetadata with different id should have different names.
   string name = 2;
 
   // Description of the stat (might be long).

proto/tensorflow/core/protobuf/bfc_memory_map.proto

@@ -2,7 +2,7 @@ syntax = "proto3";
 
 package tensorflow;
 
-option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto";
+option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto";
 
 // Some of the data from AllocatorStats
 message MemAllocatorStats {

proto/tensorflow/core/protobuf/cluster.proto

@@ -21,7 +21,7 @@ option cc_enable_arenas = true;
 option java_outer_classname = "ClusterProtos";
 option java_multiple_files = true;
 option java_package = "org.tensorflow.distruntime";
-option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto";
+option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto";
 
 // This file contains protos to be used when defining a TensorFlow
 // cluster.

proto/tensorflow/core/protobuf/config.proto

@@ -13,7 +13,7 @@ option cc_enable_arenas = true;
 option java_outer_classname = "ConfigProtos";
 option java_multiple_files = true;
 option java_package = "org.tensorflow.framework";
-option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto";
+option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto";
 
 message GPUOptions {
   // Fraction of the available GPU memory to allocate for each process.
@@ -568,6 +568,9 @@ message ConfigProto {
     // Session::Extend() may not be supported.
     bool optimize_for_static_graph = 12;
 
+    // This field will eventually be deprecated and replaced by
+    // mlir_bridge_rollout (b/166038521).
+    //
     // Whether to enable the MLIR-based TF->XLA bridge.
     //
     // This is a replacement to the existing bridge, and not ready for
@@ -581,6 +584,22 @@ message ConfigProto {
     // to lower the encapsulated graph to a particular device.
     bool enable_mlir_bridge = 13;
 
+    // An enum that describes the state of the MLIR bridge rollout.
+    enum MlirBridgeRollout {
+      // If this field is left unspecified, the MLIR bridge may be selectively
+      // enabled on a per graph basis.
+      MLIR_BRIDGE_ROLLOUT_UNSPECIFIED = 0;
+      // Enabling the MLIR bridge enables it for all graphs in this session.
+      MLIR_BRIDGE_ROLLOUT_ENABLED = 1;
+      // Disabling the MLIR bridge disables it for all graphs in this session.
+      MLIR_BRIDGE_ROLLOUT_DISABLED = 2;
+    }
+    // This field is underdevelopment, for now use enable_mlir_bridge
+    // (b/166038521).
+    //
+    // Whether to enable the MLIR-based TF->XLA bridge.
+    MlirBridgeRollout mlir_bridge_rollout = 17;
+
     // Whether to enable the MLIR-based Graph optimizations.
     //
     // This will become a part of standard Tensorflow graph optimization

proto/tensorflow/core/protobuf/control_flow.proto

@@ -6,7 +6,7 @@ option cc_enable_arenas = true;
 option java_outer_classname = "ControlFlowProtos";
 option java_multiple_files = true;
 option java_package = "org.tensorflow.framework";
-option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/core_protos_go_proto";
+option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf/for_core_protos_go_proto";
 
 // Control flow context related protocol buffers.