ec86d80f19
Also removed duplicate comments for subclass methods. PiperOrigin-RevId: 346807683 Change-Id: I2ab9b5038d5e5fc991bfee53d0081c5eecf51906
62 lines
2.5 KiB
C++
62 lines
2.5 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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#include "tensorflow/compiler/xla/pjrt/interpreter_device.h"
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#include "absl/strings/str_cat.h"
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#include "tensorflow/compiler/xla/client/client_library.h"
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#include "tensorflow/compiler/xla/pjrt/pjrt_stream_executor_client.h"
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#include "tensorflow/compiler/xla/service/platform_util.h"
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namespace xla {
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static const char kInterpreterPlatformName[] = "interpreter";
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InterpreterDevice::InterpreterDevice(
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int id, std::unique_ptr<LocalDeviceState> local_device_state)
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: PjRtStreamExecutorDevice(id, std::move(local_device_state),
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/*device_kind=*/kInterpreterPlatformName) {}
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StatusOr<std::unique_ptr<PjRtClient>> GetInterpreterClient() {
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TF_ASSIGN_OR_RETURN(se::Platform * platform,
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PlatformUtil::GetPlatform("Interpreter"));
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if (platform->VisibleDeviceCount() != 1) {
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return FailedPrecondition(
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"Interpreter platform should have exactly one device.");
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}
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LocalClientOptions options;
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options.set_platform(platform);
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TF_ASSIGN_OR_RETURN(LocalClient * client,
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ClientLibrary::GetOrCreateLocalClient(options));
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std::vector<std::unique_ptr<PjRtStreamExecutorDevice>> devices;
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se::StreamExecutor* executor =
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client->backend().stream_executor(0).ValueOrDie();
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auto device_state = absl::make_unique<LocalDeviceState>(
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executor, client, LocalDeviceState::kSynchronous, /*asynchronous=*/false,
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/*allow_event_reuse=*/false);
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auto device =
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absl::make_unique<InterpreterDevice>(0, std::move(device_state));
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devices.push_back(std::move(device));
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return std::unique_ptr<PjRtClient>(std::make_unique<PjRtStreamExecutorClient>(
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"interpreter", client, std::move(devices), /*host_id=*/0,
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/*allocator=*/nullptr, /*host_memory_allocator=*/nullptr,
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/*should_stage_host_to_device_transfers=*/false,
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/*gpu_run_options=*/nullptr));
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}
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} // namespace xla
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