This is part of a series of changes to move TPU-related code to better locations so that the TensorFlow build isn't confused and TPU-based TF can be built without the define=framework_shared_object=false flag. PiperOrigin-RevId: 352726495 Change-Id: Idc23455a8289c4a2546edad9ca59e9207a7492ce
37 lines
1.3 KiB
C++
37 lines
1.3 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_JIT_XLA_TPU_DEVICE_H_
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#define TENSORFLOW_COMPILER_JIT_XLA_TPU_DEVICE_H_
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#include "tensorflow/core/common_runtime/device.h"
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#include "tensorflow/core/common_runtime/device_factory.h"
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#include "tensorflow/core/platform/status.h"
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#include "tensorflow/core/public/session_options.h"
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namespace tensorflow {
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void RegisterTpuDeviceToDeviceCopy();
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void RegisterTpuNodeDevice(
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bool tpu_autoclustering, bool tpu_xla_device_failure_closes_chips,
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bool tpu_use_substreams_for_cross_tpu_device_transfers);
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void RegisterTpuSystemDevice();
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_JIT_XLA_TPU_DEVICE_H_
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