1 | /* Copyright 2015 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 | #ifndef TENSORFLOW_CORE_KERNELS_FIFO_QUEUE_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_FIFO_QUEUE_H_ |
18 | |
19 | #include <deque> |
20 | #include <vector> |
21 | |
22 | #include "tensorflow/core/framework/op_kernel.h" |
23 | #include "tensorflow/core/framework/tensor.h" |
24 | #include "tensorflow/core/framework/tensor_shape.h" |
25 | #include "tensorflow/core/framework/types.h" |
26 | #include "tensorflow/core/kernels/queue_op.h" |
27 | #include "tensorflow/core/kernels/typed_queue.h" |
28 | #include "tensorflow/core/platform/macros.h" |
29 | #include "tensorflow/core/platform/mutex.h" |
30 | #include "tensorflow/core/platform/types.h" |
31 | |
32 | namespace tensorflow { |
33 | |
34 | class FIFOQueue : public TypedQueue<std::deque<Tensor> > { |
35 | public: |
36 | FIFOQueue(int32_t capacity, const DataTypeVector& component_dtypes, |
37 | const std::vector<TensorShape>& component_shapes, |
38 | const string& name); |
39 | |
40 | // Implementations of QueueInterface methods -------------------------------- |
41 | |
42 | void TryEnqueue(const Tuple& tuple, OpKernelContext* ctx, |
43 | DoneCallback callback) override; |
44 | void TryEnqueueMany(const Tuple& tuple, OpKernelContext* ctx, |
45 | DoneCallback callback) override; |
46 | void TryDequeue(OpKernelContext* ctx, CallbackWithTuple callback) override; |
47 | void TryDequeueMany(int num_elements, OpKernelContext* ctx, |
48 | bool allow_small_batch, |
49 | CallbackWithTuple callback) override; |
50 | Status MatchesNodeDef(const NodeDef& node_def) override; |
51 | |
52 | int32 size() const override { |
53 | mutex_lock lock(mu_); |
54 | return queues_[0].size(); |
55 | } |
56 | |
57 | protected: |
58 | ~FIFOQueue() override {} |
59 | |
60 | // Helper for dequeuing a single element from queues_. |
61 | void DequeueLocked(OpKernelContext* ctx, Tuple* tuple) |
62 | TF_EXCLUSIVE_LOCKS_REQUIRED(mu_); |
63 | |
64 | static Status GetElementComponentFromBatch(const Tuple& tuple, int64_t index, |
65 | int component, |
66 | OpKernelContext* ctx, |
67 | Tensor* out_tensor); |
68 | |
69 | private: |
70 | TF_DISALLOW_COPY_AND_ASSIGN(FIFOQueue); |
71 | }; |
72 | |
73 | // Defines a FIFOQueueOp, which produces a Queue (specifically, one |
74 | // backed by FIFOQueue) that persists across different graph |
75 | // executions, and sessions. Running this op produces a single-element |
76 | // tensor of handles to Queues in the corresponding device. |
77 | class FIFOQueueOp : public TypedQueueOp { |
78 | public: |
79 | explicit FIFOQueueOp(OpKernelConstruction* context); |
80 | |
81 | private: |
82 | Status CreateResource(QueueInterface** ret) override |
83 | TF_EXCLUSIVE_LOCKS_REQUIRED(mu_); |
84 | |
85 | std::vector<TensorShape> component_shapes_; |
86 | TF_DISALLOW_COPY_AND_ASSIGN(FIFOQueueOp); |
87 | }; |
88 | |
89 | } // namespace tensorflow |
90 | |
91 | #endif // TENSORFLOW_CORE_KERNELS_FIFO_QUEUE_H_ |
92 | |