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+/* Copyright 2018 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_STREAM_POOL_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_STREAM_POOL_H_
+
+#include <memory>
+#include <vector>
+
+#include "tensorflow/compiler/xla/types.h"
+#include "tensorflow/core/platform/mutex.h"
+#include "tensorflow/core/platform/stream_executor_no_cuda.h"
+
+namespace xla {
+
+// Pool of stream_executor::Streams, which are created as needed and
+// destroyed when the pool is destroyed.
+class StreamPool {
+ public:
+ struct PtrDeleter {
+ void operator()(se::Stream* stream) { pool->ReturnStream(stream); }
+ StreamPool* pool;
+ };
+
+ // Stream pointer type returned by BorrowStream, which returns the
+ // stream to the pool on destruction.
+ using Ptr = std::unique_ptr<se::Stream, PtrDeleter>;
+
+ StreamPool() {}
+
+ // Returns a pointer to a stream in the pool, creating a new stream
+ // if none are available in the pool. The returned smart pointer
+ // returns the stream to the pool on destruction.
+ //
+ // This method is thread-safe.
+ Ptr BorrowStream(se::StreamExecutor* executor);
+
+ private:
+ // Puts a pointer to a stream back into the pool, leaving it free
+ // for future use. Streams that have previously encountered errors
+ // are deleted, and not returned to the pool.
+ //
+ // This method is thread-safe.
+ void ReturnStream(se::Stream* stream);
+
+ tensorflow::mutex mu_;
+ std::vector<std::unique_ptr<se::Stream>> streams_ GUARDED_BY(mu_);
+};
+
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_SERVICE_STREAM_POOL_H_