STT-tensorflow/tensorflow/lite/delegates/flex/delegate_data.cc
Gaurav Jain c74b95e771 Remove experimental mirroring policy APIs.
Mirroring has been enabled by default for a long time. All the runtime
code that inspected the flag has long been removed. This is just
cleaning up some leftover code.

PiperOrigin-RevId: 328421064
Change-Id: I193b67f1f12f96ebb8b6822a780d88f4b82e77af
2020-08-25 16:00:49 -07:00

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2.0 KiB
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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.
==============================================================================*/
#include "tensorflow/lite/delegates/flex/delegate_data.h"
#include "absl/memory/memory.h"
#include "tensorflow/core/common_runtime/device_factory.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/lib/core/status.h"
namespace tflite {
namespace flex {
DelegateData::DelegateData() {}
DelegateData::~DelegateData() {
if (eager_context_) eager_context_->Unref();
}
tensorflow::Status DelegateData::Prepare(
const tensorflow::SessionOptions& session_options) {
if (eager_context_) {
return tensorflow::Status();
}
std::vector<std::unique_ptr<tensorflow::Device>> devices;
TF_RETURN_IF_ERROR(tensorflow::DeviceFactory::AddDevices(
session_options, "/job:localhost/replica:0/task:0", &devices));
auto device_mgr =
absl::make_unique<tensorflow::StaticDeviceMgr>(std::move(devices));
// Note that Rendezvous is ref-counted so it will be automatically deleted.
tensorflow::Rendezvous* rendezvous =
new tensorflow::IntraProcessRendezvous(device_mgr.get());
eager_context_ = new tensorflow::EagerContext(
session_options,
tensorflow::ContextDevicePlacementPolicy::DEVICE_PLACEMENT_SILENT,
/*async=*/false, /*lazy_copy_function_remote_inputs=*/false,
device_mgr.release(), /*device_mgr_owned*/ true, rendezvous, nullptr);
return tensorflow::Status();
}
} // namespace flex
} // namespace tflite