[XLA] Remove dead "in-client" code.

Remove Service::runs_in_client_process_ field and it's dead user. This was
previously used by the "InProcess" methods which have been replaced with
the LocalClient API.

PiperOrigin-RevId: 159759455

4 files changed, 2 insertions, 26 deletions

diff --git a/tensorflow/compiler/xla/service/compile_only_service.cc b/tensorflow/compiler/xla/service/compile_only_service.cc
index cfcf2744fb..b0867c47a1 100644
--- a/tensorflow/compiler/xla/service/compile_only_service.cc
+++ b/tensorflow/compiler/xla/service/compile_only_service.cc
@@ -62,9 +62,7 @@ CompileOnlyService::CompileOnlyService(
     std::unique_ptr<Backend> compute_constant_backend)
     : Service(options, /*backend=*/nullptr,
               std::move(compute_constant_backend)),
-      compiler_(compiler) {
-  runs_in_client_process_ = true;
-}
+      compiler_(compiler) {}
 
 StatusOr<std::vector<std::unique_ptr<AotCompilationResult>>>
 CompileOnlyService::CompileAheadOfTime(
diff --git a/tensorflow/compiler/xla/service/local_service.cc b/tensorflow/compiler/xla/service/local_service.cc
index 05a1028a23..25588a6fb8 100644
--- a/tensorflow/compiler/xla/service/local_service.cc
+++ b/tensorflow/compiler/xla/service/local_service.cc
@@ -71,9 +71,7 @@ LocalService::LocalService(const ServiceOptions& options,
                            std::unique_ptr<Backend> execute_backend,
                            std::unique_ptr<Backend> compute_constant_backend)
     : Service(options, std::move(execute_backend),
-              std::move(compute_constant_backend)) {
-  runs_in_client_process_ = true;
-}
+              std::move(compute_constant_backend)) {}
 
 namespace {
 // Returns the space required to allocate a shape. If
diff --git a/tensorflow/compiler/xla/service/service.cc b/tensorflow/compiler/xla/service/service.cc
index 31740757ab..68441ef17f 100644
--- a/tensorflow/compiler/xla/service/service.cc
+++ b/tensorflow/compiler/xla/service/service.cc
@@ -1207,17 +1207,6 @@ tensorflow::Status Service::GetComputationStats(
   return tensorflow::Status::OK();
 }
 
-tensorflow::Status Service::CheckRunsInClientProcess(
-    const string& method_name) const {
-  if (runs_in_client_process_) {
-    return tensorflow::Status::OK();
-  } else {
-    return FailedPrecondition(
-        "%s only supported if service runs in the same process as the client",
-        method_name.c_str());
-  }
-}
-
 template <typename RequestT, typename ResponseT>
 tensorflow::Status Service::AddInstruction(
     const RequestT* arg, ResponseT* result,
diff --git a/tensorflow/compiler/xla/service/service.h b/tensorflow/compiler/xla/service/service.h
index 14e8a676a1..4ed89ca04a 100644
--- a/tensorflow/compiler/xla/service/service.h
+++ b/tensorflow/compiler/xla/service/service.h
@@ -333,12 +333,6 @@ class Service : public ServiceInterface {
       const std::function<StatusOr<ComputationDataHandle>(UserComputation*)>&
           adder);
 
-  // If the service is running in the client process
-  // (runs_in_client_process_ is true) then return
-  // tensorflow::Status::OK. Otherwise return an appropriate error
-  // status with the given method name. Used for "InProcess" methods.
-  tensorflow::Status CheckRunsInClientProcess(const string& method_name) const;
-
   // Convenience function which checks whether the given shape_with_layout
   // (presumably passed by the client to set the result layout) is valid for the
   // given computation result shape.
@@ -380,9 +374,6 @@ class Service : public ServiceInterface {
   // Backend to use when executing ComputeConstant.
   std::unique_ptr<Backend> compute_constant_backend_;
 
-  // Whether the service runs in the same process as the client.
-  bool runs_in_client_process_ = false;
-
   TF_DISALLOW_COPY_AND_ASSIGN(Service);
 };