1/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15// See docs in ../ops/data_flow_ops.cc.
16
17#include <deque>
18#include <vector>
19
20#include "tensorflow/core/framework/op_kernel.h"
21#include "tensorflow/core/framework/resource_mgr.h"
22#include "tensorflow/core/framework/tensor.h"
23#include "tensorflow/core/framework/tensor_shape.h"
24#include "tensorflow/core/framework/types.h"
25#include "tensorflow/core/kernels/priority_queue.h"
26#include "tensorflow/core/kernels/queue_base.h"
27#include "tensorflow/core/kernels/queue_op.h"
28#include "tensorflow/core/lib/core/errors.h"
29#include "tensorflow/core/platform/logging.h"
30#include "tensorflow/core/platform/macros.h"
31#include "tensorflow/core/platform/mutex.h"
32#include "tensorflow/core/platform/thread_annotations.h"
33#include "tensorflow/core/platform/types.h"
34
35namespace tensorflow {
36
37// Defines a PriorityQueueOp, which produces a Queue (specifically, one
38// backed by PriorityQueue) that persists across different graph
39// executions, and sessions. Running this op produces a single-element
40// tensor of handles to Queues in the corresponding device.
41class PriorityQueueOp : public TypedQueueOp {
42 public:
43 explicit PriorityQueueOp(OpKernelConstruction* context)
44 : TypedQueueOp(context) {
45 OP_REQUIRES_OK(context, context->GetAttr("shapes", &component_shapes_));
46 component_types_.insert(component_types_.begin(), DT_INT64);
47 if (!component_shapes_.empty()) {
48 component_shapes_.insert(component_shapes_.begin(), TensorShape({}));
49 }
50 }
51
52 private:
53 Status CreateResource(QueueInterface** ret) override
54 TF_EXCLUSIVE_LOCKS_REQUIRED(mu_) {
55 PriorityQueue* queue = new PriorityQueue(capacity_, component_types_,
56 component_shapes_, cinfo_.name());
57 return CreateTypedQueue(queue, ret);
58 }
59
60 std::vector<TensorShape> component_shapes_;
61
62 TF_DISALLOW_COPY_AND_ASSIGN(PriorityQueueOp);
63};
64
65REGISTER_KERNEL_BUILDER(Name("PriorityQueue").Device(DEVICE_CPU),
66 PriorityQueueOp);
67REGISTER_KERNEL_BUILDER(Name("PriorityQueueV2").Device(DEVICE_CPU),
68 PriorityQueueOp);
69
70} // namespace tensorflow
71