1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #include "tensorflow/compiler/xla/service/cpu/xfeed_manager.h" 17 18 #include "tensorflow/compiler/xla/shape_util.h" 19 #include "tensorflow/core/platform/logging.h" 20 21 namespace xla { 22 namespace cpu { 23 namespace runtime { 24 25 void XfeedManager::Reset() { 26 infeed()->Reset(); 27 outfeed()->Reset(); 28 } 29 30 void XfeedQueueManager::Reset() { 31 tensorflow::mutex_lock l(mu_); 32 CHECK(current_buffer_ == nullptr); 33 for (auto buffer : enqueued_buffers_) { 34 buffer->Done(ShapeUtil::MakeNil()); 35 } 36 enqueued_buffers_.clear(); 37 } 38 39 void XfeedQueueManager::EnqueueBuffersAtomically( 40 tensorflow::gtl::ArraySlice<XfeedBuffer*> buffers) { 41 tensorflow::mutex_lock l(mu_); 42 bool was_empty = enqueued_buffers_.empty(); 43 for (XfeedBuffer* b : buffers) { 44 VLOG(3) << "Enqueueing " << queue_name_ << " buffer (of " << buffers.size() 45 << " buffers) with length: " << b->length(); 46 enqueued_buffers_.push_back(b); 47 } 48 if (was_empty && !buffers.empty()) { 49 // This has the potential to suffer from the notified thread 50 // immediately trying and failing to acquire mu_, but seems 51 // preferable to the alternative of notifying outside the lock 52 // on every enqueue. 53 cv_.notify_one(); 54 } 55 } 56 57 XfeedBuffer* XfeedQueueManager::BlockingDequeueBuffer() { 58 tensorflow::mutex_lock l(mu_); 59 VLOG(3) << "Waiting for an available buffer."; 60 while (enqueued_buffers_.empty()) { 61 cv_.wait(l); 62 } 63 VLOG(3) << "A buffer is available!"; 64 CHECK(current_buffer_ == nullptr); 65 current_buffer_ = enqueued_buffers_.front(); 66 enqueued_buffers_.pop_front(); 67 return current_buffer_; 68 } 69 70 void XfeedQueueManager::ReleaseCurrentBuffer(int32 length, void* data, 71 StatusOr<Shape> shape) { 72 VLOG(3) << "Releasing buffer with shape: " 73 << (shape.ok() ? ShapeUtil::HumanString(shape.ValueOrDie()) 74 : "<error status>"); 75 tensorflow::mutex_lock l(mu_); 76 CHECK(current_buffer_ != nullptr); 77 CHECK_EQ(length, current_buffer_->length()); 78 CHECK_EQ(data, current_buffer_->data()); 79 current_buffer_->Done(std::move(shape)); 80 current_buffer_ = nullptr; 81 } 82 83 } // namespace runtime 84 } // namespace cpu 85 } // namespace xla 86
