f9bd1568aa
contains() is a much better description of what we're trying to do! Also change a few std containers over to absl containers so we can advantage of this. PiperOrigin-RevId: 227894609
120 lines
4.0 KiB
C++
120 lines
4.0 KiB
C++
/* Copyright 2017 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/service/channel_tracker.h"
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#include "absl/memory/memory.h"
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#include "absl/strings/str_cat.h"
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#include "tensorflow/compiler/xla/service/hlo_computation.h"
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#include "tensorflow/compiler/xla/service/hlo_instruction.h"
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#include "tensorflow/compiler/xla/status.h"
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#include "tensorflow/compiler/xla/status_macros.h"
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/compiler/xla/util.h"
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#include "tensorflow/core/platform/logging.h"
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#include "tensorflow/core/platform/mutex.h"
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#include "tensorflow/core/platform/types.h"
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namespace xla {
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ChannelTracker::ChannelTracker() : next_channel_(1) {}
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StatusOr<ChannelHandle> ChannelTracker::NewChannel(
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ChannelHandle::ChannelType type) {
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if (type != ChannelHandle::DEVICE_TO_DEVICE &&
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type != ChannelHandle::HOST_TO_DEVICE &&
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type != ChannelHandle::DEVICE_TO_HOST) {
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return InvalidArgument("Invalid channel type: %d", type);
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}
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tensorflow::mutex_lock lock(channel_mutex_);
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// Create a new channel handle with a unique value.
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ChannelHandle new_handle = AllocateHandle(type);
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// Register a channel object associated with the handle.
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Channel channel;
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channel.has_sender = false;
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channel.receiver_count = 0;
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channel.type = type;
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opaque_to_channel_[new_handle.handle()] = channel;
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return new_handle;
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}
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Status ChannelTracker::RegisterSend(const ChannelHandle& handle) {
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tensorflow::mutex_lock lock(channel_mutex_);
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return RegisterSendInternal(handle);
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}
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Status ChannelTracker::RegisterRecv(const ChannelHandle& handle) {
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tensorflow::mutex_lock lock(channel_mutex_);
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return RegisterRecvInternal(handle);
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}
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ChannelHandle ChannelTracker::AllocateHandle(ChannelHandle::ChannelType type) {
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int64 handle_value = next_channel_++;
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ChannelHandle result;
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result.set_handle(handle_value);
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result.set_type(type);
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return result;
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}
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Status ChannelTracker::RegisterSendInternal(const ChannelHandle& handle) {
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if (!opaque_to_channel_.contains(handle.handle())) {
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return NotFound("channel handle not found: %d", handle.handle());
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}
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Channel& channel = opaque_to_channel_[handle.handle()];
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if (channel.type == ChannelHandle::HOST_TO_DEVICE) {
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return FailedPrecondition(
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"host-to-device channels cannot be used with a Send operation; "
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"channel handle: %d",
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handle.handle());
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}
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if (channel.has_sender) {
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return FailedPrecondition(
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"when registering send, passed a channel handle that is already used "
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"by a sender: %d",
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handle.handle());
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}
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channel.has_sender = true;
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return Status::OK();
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}
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Status ChannelTracker::RegisterRecvInternal(const ChannelHandle& handle) {
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if (!opaque_to_channel_.contains(handle.handle())) {
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return NotFound("channel handle not found: %d", handle.handle());
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}
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Channel& channel = opaque_to_channel_[handle.handle()];
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if (channel.type == ChannelHandle::DEVICE_TO_HOST) {
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return FailedPrecondition(
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"device-to-host channels cannot be used with a Recv operation; "
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"channel handle: %d",
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handle.handle());
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}
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// TODO(b/33942691): Allow more than 1 receivers for broadcast.
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if (channel.receiver_count >= 1) {
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return FailedPrecondition(
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"when registering recv, passed a channel handle that is already used "
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"by a receiver: %d",
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handle.handle());
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}
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channel.receiver_count += 1;
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return Status::OK();
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}
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} // namespace xla
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