update tensorflow serving protos to 2.6.0

update .bazelrc embed labael to 2.6.0

Author: emacski

.bazelrc

@@ -1,5 +1,5 @@
 # upstream tensorflow/serving version
-build --embed_label=2.5.1
+build --embed_label=2.6.0
 
 build --verbose_failures
 # enable proper toolchain resolution for cc rules

proto/tensorflow/core/BUILD

@@ -17,13 +17,14 @@ proto_library(
     srcs = [
         "protobuf/bfc_memory_map.proto",
         "protobuf/cluster.proto",
+        "protobuf/composite_tensor_variant.proto",
         "protobuf/config.proto",
         "protobuf/control_flow.proto",
+        "protobuf/data_service.proto",
         "protobuf/debug.proto",
         "protobuf/debug_event.proto",
         "protobuf/device_filters.proto",
         "protobuf/device_properties.proto",
-        "protobuf/extension_type_variant.proto",
         "protobuf/graph_debug_info.proto",
         "protobuf/meta_graph.proto",
         "protobuf/named_tensor.proto",

proto/tensorflow/core/framework/BUILD

@@ -13,6 +13,7 @@ proto_library(
         ":cost_graph_proto",
         ":dataset_options_proto",
         ":device_attributes_proto",
+        ":full_type_proto",
         ":function_proto",
         ":graph_proto",
         ":graph_transfer_info_proto",
@@ -145,6 +146,7 @@ proto_library(
     strip_import_prefix = "/proto/",
     deps = [
         ":attr_value_proto",
+        ":full_type_proto",
         ":resource_handle_proto",
         ":tensor_proto",
         ":tensor_shape_proto",
@@ -159,6 +161,7 @@ proto_library(
     strip_import_prefix = "/proto/",
     deps = [
         ":attr_value_proto",
+        ":full_type_proto",
         ":resource_handle_proto",
         ":tensor_proto",
         ":tensor_shape_proto",
@@ -215,6 +218,7 @@ proto_library(
     strip_import_prefix = "/proto/",
     deps = [
         ":attr_value_proto",
+        ":full_type_proto",
         ":function_proto",
         ":node_def_proto",
         ":op_def_proto",
@@ -233,6 +237,7 @@ proto_library(
     strip_import_prefix = "/proto/",
     deps = [
         ":attr_value_proto",
+        ":full_type_proto",
         ":node_def_proto",
         ":op_def_proto",
         ":resource_handle_proto",
@@ -242,6 +247,13 @@ proto_library(
     ],
 )
 
+proto_library(
+    name = "full_type_proto",
+    srcs = ["full_type.proto"],
+    go_package = "github.com/emacski/tensorflow-serving-arm-client/go/tensorflow/core/framework",
+    strip_import_prefix = "/proto/",
+)
+
 proto_library(
     name = "device_attributes_proto",
     srcs = ["device_attributes.proto"],

proto/tensorflow/core/framework/dataset_options.proto

@@ -2,6 +2,8 @@ syntax = "proto3";
 
 package tensorflow.data;
 
+option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/dataset_options_go_proto";
+
 // Represents the type of auto-sharding we enable.
 enum AutoShardPolicy {
   // AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding.
@@ -23,6 +25,27 @@ enum AutoShardPolicy {
   OFF = -1;
 }
 
+// next: 4
+message AutotuneOptions {
+  // Whether to automatically tune performance knobs.
+  oneof optional_enabled {
+    bool enabled = 1;
+  }
+  // When autotuning is enabled (through autotune), determines the CPU budget to
+  // use. Values greater than the number of schedulable CPU cores are allowed
+  // but may result in CPU contention.
+  oneof optional_cpu_budget {
+    int32 cpu_budget = 2;
+  }
+  // When autotuning is enabled (through autotune), determines the RAM budget to
+  // use. Values greater than the available RAM in bytes may result in OOM. If
+  // 0, defaults to half of the available RAM in bytes.
+  oneof optional_ram_budget {
+    int64 ram_budget = 3;
+  }
+}
+
+// next: 3
 message DistributeOptions {
   AutoShardPolicy auto_shard_policy = 1;
   // The number of devices attached to this input pipeline.
@@ -31,59 +54,25 @@ message DistributeOptions {
   }
 }
 
-message MapVectorization {
-  // Whether to vectorize map transformations.
-  oneof optional_enabled {
-    bool enabled = 1;
-  }
-  // Whether to use ChooseFastestBranchDataset with this transformation. If
-  // True, the pipeline picks between the vectorized and original segment at
-  // runtime based on their iterations speed.
-  oneof optional_use_choose_fastest {
-    bool use_choose_fastest = 2;
-  }
-}
-
+// next: 18
 message OptimizationOptions {
   // Whether to apply default graph optimizations. If False, only graph
   // optimizations that have been explicitly enabled will be applied.
   oneof optional_apply_default_optimizations {
     bool apply_default_optimizations = 1;
   }
-  // Whether to automatically tune performance knobs.
-  oneof optional_autotune {
-    bool autotune = 2;
-  }
-  // When autotuning is enabled (through autotune), determines whether to also
-  // autotune buffer sizes for datasets with parallelism.
-  oneof optional_autotune_buffers {
-    bool autotune_buffers = 3;
-  }
-  // When autotuning is enabled (through autotune), determines the CPU budget to
-  // use. Values greater than the number of schedulable CPU cores are allowed
-  // but may result in CPU contention.
-  oneof optional_autotune_cpu_budget {
-    int32 autotune_cpu_budget = 4;
-  }
-  // When autotuning is enabled (through autotune), determines the RAM budget to
-  // use. Values greater than the available RAM in bytes may result in OOM. If
-  // 0, defaults to half of the available RAM in bytes.
-  oneof optional_autotune_ram_budget {
-    int32 autotune_ram_budget = 5;
-  }
+  reserved 2;
+  reserved 3;
+  reserved 4;
+  reserved 5;
   // Whether to fuse filter transformations.
   oneof optional_filter_fusion {
     bool filter_fusion = 6;
   }
-  // Whether to fuse filter dataset that predicts random_uniform < rate into a
-  // sampling dataset.
-  oneof optional_filter_with_random_uniform_fusion {
-    bool filter_with_random_uniform_fusion = 7;
-  }
-  // Whether to hoist tf.random_uniform() ops out of map transformations.
-  oneof optional_hoist_random_uniform {
-    bool hoist_random_uniform = 8;
-  }
+  // NOTE: field id 7 deleted in June 2021.
+  reserved 7;
+  // NOTE: field id 8 deleted in June 2021.
+  reserved 8;
   // Whether to fuse map and batch transformations.
   oneof optional_map_and_batch_fusion {
     bool map_and_batch_fusion = 9;
@@ -100,8 +89,10 @@ message OptimizationOptions {
   oneof optional_map_parallelization {
     bool map_parallelization = 12;
   }
-  // The map vectorization options associated with the dataset.
-  MapVectorization map_vectorization = 13;
+
+  // NOTE: field id 13 deleted in June 2021.
+  reserved 13;
+
   // Whether to eliminate no-op transformations.
   oneof optional_noop_elimination {
     bool noop_elimination = 14;
@@ -115,21 +106,15 @@ message OptimizationOptions {
   oneof optional_parallel_batch {
     bool parallel_batch = 15;
   }
-  // Whether to reorder ops that will discard data to the front of unary
-  // cardinality preserving transformations, e.g. dataset.map(...).take(3) will
-  // be optimized to dataset.take(3).map(...). For now this optimization will
-  // move `skip`, `shard` and `take` to the front of `map` and `prefetch`. This
-  // optimization is only for performance; it will not affect the output of the
-  // dataset.
-  oneof optional_reorder_data_discarding_ops {
-    bool reorder_data_discarding_ops = 16;
-  }
+  // Field id 16 was removed in 06/2021.
+  reserved 16;
   // Whether to fuse shuffle and repeat transformations.
   oneof optional_shuffle_and_repeat_fusion {
     bool shuffle_and_repeat_fusion = 17;
   }
 }
 
+// next: 3
 message ThreadingOptions {
   // If set, it overrides the maximum degree of intra-op parallelism.
   oneof optional_max_intra_op_parallelism {
@@ -150,12 +135,16 @@ enum ExternalStatePolicy {
 
 // Message stored with Dataset objects to control how datasets are processed and
 // optimized.
+//
+// next: 8
 message Options {
   // Whether the outputs need to be produced in deterministic order.
   oneof optional_deterministic {
     bool deterministic = 1;
   }
   // The distribution strategy options associated with the dataset.
+  AutotuneOptions autotune_options = 7;
+  // The distribution strategy options associated with the dataset.
   DistributeOptions distribute_options = 2;
   // The optimization options associated with the dataset.
   OptimizationOptions optimization_options = 3;

proto/tensorflow/core/framework/device_attributes.proto

@@ -50,4 +50,9 @@ message DeviceAttributes {
 
   // String representation of the physical device that this device maps to.
   string physical_device_desc = 7;
+
+  // A physical device ID for use in XLA DeviceAssignments, unique across
+  // clients in a multi-client setup. Set to -1 if unavailable, non-negative
+  // otherwise.
+  int64 xla_global_id = 8;
 }