ec86d80f19
Also removed duplicate comments for subclass methods. PiperOrigin-RevId: 346807683 Change-Id: I2ab9b5038d5e5fc991bfee53d0081c5eecf51906
36 lines
1.2 KiB
C++
36 lines
1.2 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_XLA_PJRT_CPU_DEVICE_H_
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#define TENSORFLOW_COMPILER_XLA_PJRT_CPU_DEVICE_H_
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#include <memory>
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#include "tensorflow/compiler/xla/pjrt/pjrt_stream_executor_client.h"
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#include "tensorflow/compiler/xla/statusor.h"
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namespace xla {
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class CpuDevice : public PjRtStreamExecutorDevice {
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public:
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CpuDevice(int id, std::unique_ptr<LocalDeviceState> local_device_state);
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};
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StatusOr<std::unique_ptr<PjRtClient>> GetCpuClient(bool asynchronous);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_PJRT_CPU_DEVICE_H_
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