/* Copyright 2015 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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#ifndef TENSORFLOW_CORE_FRAMEWORK_CONTROL_FLOW_H_
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#define TENSORFLOW_CORE_FRAMEWORK_CONTROL_FLOW_H_
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#include "tensorflow/core/lib/hash/hash.h"
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#include "tensorflow/core/platform/logging.h"
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#include "tensorflow/core/platform/types.h"
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namespace tensorflow {
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const uint64 kIllegalFrameId = ~0uLL;
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const int64 kIllegalIterId = -1;
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// For the purpose of control flow, every tensor produced by TensorFlow is
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// conceptually tagged by a 'FrameAndIter'. FrameAndIter consists of a
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// 'frame_id' and an 'iter_id'. The tensor value it represents is produced
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// in the frame with frame_id at the iteration of iter_id.
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struct FrameAndIter {
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uint64 frame_id = kIllegalFrameId;
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int64 iter_id = kIllegalIterId;
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FrameAndIter() {}
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FrameAndIter(uint64 frame, int64 iter) {
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frame_id = frame;
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iter_id = iter;
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}
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bool operator==(const FrameAndIter& other) const {
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return (frame_id == other.frame_id && iter_id == other.iter_id);
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}
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};
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struct FrameAndIterHash {
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size_t operator()(const FrameAndIter& key) const {
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// Make sure there are no padding bytes that we don't want
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CHECK_EQ(sizeof(uint64) + sizeof(int64), sizeof(FrameAndIter));
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return Hash64(reinterpret_cast<const char*>(&key), sizeof(FrameAndIter));
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}
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_FRAMEWORK_CONTROL_FLOW_H_
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