Updates compat TF protos by running our update.sh script.

Author: arcra

tensorboard/compat/proto/config.proto

@@ -106,8 +106,8 @@ message GPUOptions {
       // Per "virtual" device memory limit, in MB. The number of elements in
       // the list is the number of virtual devices to create on the
       // corresponding visible GPU (see "virtual_devices" below).
-      // If empty, it will create single virtual device taking all available
-      // memory from the device.
+      // If empty and `num_virtual_devices_per_gpu` is not set, it will create
+      // single virtual device taking all available memory from the device.
       //
       // For the concept of "visible" and "virtual" GPU, see the comments for
       // "visible_device_list" above for more information.
@@ -172,6 +172,12 @@ message GPUOptions {
     //    result in undefined behavior.
     repeated VirtualDevices virtual_devices = 1;
 
+    // The number of virtual devices to create on each visible GPU. The
+    // available memory will be split equally among all virtual devices. If the
+    // field `memory_limit_mb` in `VirtualDevices` is not empty, this field will
+    // be ignored.
+    int32 num_virtual_devices_per_gpu = 15;
+
     // If true, uses CUDA unified memory for memory allocations. If
     // per_process_gpu_memory_fraction option is greater than 1.0, then unified
     // memory is used regardless of the value for this field. See comments for
@@ -252,6 +258,13 @@ message GPUOptions {
     // gpu_host_mem_limit_in_mb, because the default GPU host memory limit is
     // quite high.
     bool gpu_host_mem_disallow_growth = 14;
+
+    // Memory limit for gpu system. This can also be set by
+    // TF_DEVICE_MIN_SYS_MEMORY_IN_MB, which takes precedence over
+    // gpu_system_memory_size_in_mb. With this, user can configure the gpu
+    // system memory size for better resource estimation of multi-tenancy(one
+    // gpu with multiple model) use case.
+    int32 gpu_system_memory_size_in_mb = 16;
   }
 
   // Everything inside experimental is subject to change and is not subject
@@ -691,9 +704,14 @@ message ConfigProto {
     // aims to negate its value.
     bool disable_optimize_for_static_graph = 24;
 
+    // Whether eager remote execution will stream all the function calls or
+    // allow them to happen in parallel. When true, streaming execution is
+    // disabled, and parallel execution is allowed.
+    bool disable_eager_executor_streaming_enqueue = 26;
+
     reserved 25;
 
-    // Next: 26
+    // Next: 27
   }
 
   Experimental experimental = 16;

tensorboard/compat/proto/coordination_config.proto

@@ -61,4 +61,10 @@ message CoordinationServiceConfig {
   // silently. This is useful when we know that a task can immediately resume
   // work upon re-connecting to the service.
   bool allow_new_incarnation_to_reconnect = 11;
+
+  // Disables coordination service.
+  // Some libraries enable coordination service by default even if the user did
+  // not specify any config. This field allows users to explicitly disable
+  // coordination service under all situations.
+  bool force_disable = 12;
 }

tensorboard/compat/proto/types.proto

@@ -43,6 +43,12 @@ enum DataType {
   DT_FLOAT8_E5M2 = 24;    // 5 exponent bits, 2 mantissa bits.
   DT_FLOAT8_E4M3FN = 25;  // 4 exponent bits, 3 mantissa bits, finite-only, with
                           // 2 NaNs (0bS1111111).
+  // TODO - b/299182407: Leaving room for remaining float8 types.
+  // DT_FLOAT8_E4M3FNUZ = 26;
+  // DT_FLOAT8_E4M3B11FNUZ = 27;
+  // DT_FLOAT8_E5M2FNUZ = 28;
+  DT_INT4 = 29;
+  DT_UINT4 = 30;
 
   // Do not use!  These are only for TF1's obsolete reference Variables.
   // Every enum above should have a corresponding value below (verified by
@@ -72,6 +78,12 @@ enum DataType {
   DT_UINT64_REF = 123;
   DT_FLOAT8_E5M2_REF = 124;
   DT_FLOAT8_E4M3FN_REF = 125;
+  // TODO - b/299182407: Leaving room for remaining float8 types.
+  // DT_FLOAT8_E4M3FNUZ_REF = 126;
+  // DT_FLOAT8_E4M3B11FNUZ_REF = 127;
+  // DT_FLOAT8_E5M2FNUZ_REF = 128;
+  DT_INT4_REF = 129;
+  DT_UINT4_REF = 130;
 }
 // DISABLED.ThenChange(
 //    https://www.tensorflow.org/code/tensorflow/c/tf_datatype.h,