Permalink
Cannot retrieve contributors at this time
69 lines (57 sloc)
2.04 KB
Name already in use
A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
tensorflow/tensorflow/core/framework/tensor_key.h
Go to fileThis commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| /* Copyright 2020 The TensorFlow Authors. All Rights Reserved. | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| ==============================================================================*/ | |
| #ifndef TENSORFLOW_CORE_FRAMEWORK_TENSOR_KEY_H_ | |
| #define TENSORFLOW_CORE_FRAMEWORK_TENSOR_KEY_H_ | |
| #include "tensorflow/core/framework/tensor.h" | |
| namespace tensorflow { | |
| class TensorKey : public Tensor { | |
| public: | |
| using Tensor::Tensor; | |
| TensorKey(const Tensor& t) : Tensor(t) {} | |
| // Equality operator. Needed for absl hashing. | |
| friend bool operator==(const TensorKey& t1, const TensorKey& t2) { | |
| if (t1.dtype() != t2.dtype() || t1.shape() != t2.shape()) { | |
| return false; | |
| } | |
| if (DataTypeCanUseMemcpy(t1.dtype())) { | |
| return t1.tensor_data() == t2.tensor_data(); | |
| } | |
| if (t1.dtype() == DT_STRING) { | |
| const auto s1 = t1.unaligned_flat<tstring>(); | |
| const auto s2 = t2.unaligned_flat<tstring>(); | |
| for (int64_t i = 0, n = t1.NumElements(); i < n; ++i) { | |
| if (TF_PREDICT_FALSE(s1(i) != s2(i))) { | |
| return false; | |
| } | |
| } | |
| return true; | |
| } | |
| return false; | |
| } | |
| friend bool operator!=(const TensorKey& t1, const TensorKey& t2) { | |
| return !(t1 == t2); | |
| } | |
| // Needed for absl hash function. | |
| template <typename H> | |
| friend H AbslHashValue(H h, const TensorKey& k) { | |
| const uint8* d = static_cast<uint8*>(k.data()); | |
| size_t s = k.AllocatedBytes(); | |
| std::vector<uint8> vec; | |
| vec.reserve(s); | |
| for (int i = 0; i < s; i++) { | |
| vec.push_back(d[i]); | |
| } | |
| return H::combine(std::move(h), s); | |
| } | |
| }; | |
| } // namespace tensorflow | |
| #endif |