[XLA:CPU/GPU] Implement multi-module compilation for the CPU and GPU backends

For CPU and GPU this is a simple wrapper around the single-module Compile method
since the CPU and GPU backends do not perform cross-module optimizations and
analyses.

PiperOrigin-RevId: 175631791

1 files changed, 37 insertions, 0 deletions

diff --git a/tensorflow/compiler/xla/service/llvm_compiler.cc b/tensorflow/compiler/xla/service/llvm_compiler.cc
new file mode 100644
index 0000000000..ba0304fb8c
--- /dev/null
+++ b/tensorflow/compiler/xla/service/llvm_compiler.cc
@@ -0,0 +1,37 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/compiler/xla/service/llvm_compiler.h"
+
+namespace xla {
+StatusOr<std::vector<std::unique_ptr<Executable>>> LLVMCompiler::Compile(
+    std::vector<std::unique_ptr<HloModule>> modules,
+    std::vector<std::vector<perftools::gputools::StreamExecutor*>>
+        stream_execs) {
+  std::vector<std::unique_ptr<Executable>> result;
+  for (size_t i = 0; i < modules.size(); i++) {
+    if (stream_execs[i].size() != 1) {
+      return Unimplemented(
+          "Model partitioning not implemented for the CPU/GPU compilers!");
+    }
+
+    TF_ASSIGN_OR_RETURN(std::unique_ptr<Executable> executable,
+                        Compile(std::move(modules[i]), stream_execs[i][0]));
+    result.push_back(std::move(executable));
+  }
+
+  return {std::move(result)};
+}
+}  // namespace xla