1 | // ======================================================================== // |
2 | // Copyright 2009-2019 Intel Corporation // |
3 | // // |
4 | // Licensed under the Apache License, Version 2.0 (the "License"); // |
5 | // you may not use this file except in compliance with the License. // |
6 | // You may obtain a copy of the License at // |
7 | // // |
8 | // http://www.apache.org/licenses/LICENSE-2.0 // |
9 | // // |
10 | // Unless required by applicable law or agreed to in writing, software // |
11 | // distributed under the License is distributed on an "AS IS" BASIS, // |
12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // |
13 | // See the License for the specific language governing permissions and // |
14 | // limitations under the License. // |
15 | // ======================================================================== // |
16 | |
17 | #pragma once |
18 | |
19 | #include "platform.h" |
20 | #include <vector> |
21 | #include <map> |
22 | |
23 | namespace oidn { |
24 | |
25 | template<typename T> |
26 | using shared_vector = std::shared_ptr<std::vector<T>>; |
27 | |
28 | // Generic tensor |
29 | struct Tensor |
30 | { |
31 | float* data; |
32 | std::vector<int64_t> dims; |
33 | std::string format; |
34 | shared_vector<char> buffer; // optional, only for reference counting |
35 | |
36 | __forceinline Tensor() : data(nullptr) {} |
37 | |
38 | __forceinline Tensor(const std::vector<int64_t>& dims, const std::string& format) |
39 | : dims(dims), |
40 | format(format) |
41 | { |
42 | buffer = std::make_shared<std::vector<char>>(size() * sizeof(float)); |
43 | data = (float*)buffer->data(); |
44 | } |
45 | |
46 | __forceinline operator bool() const { return data != nullptr; } |
47 | |
48 | __forceinline int ndims() const { return (int)dims.size(); } |
49 | |
50 | // Returns the number of values |
51 | __forceinline size_t size() const |
52 | { |
53 | size_t size = 1; |
54 | for (int i = 0; i < ndims(); ++i) |
55 | size *= dims[i]; |
56 | return size; |
57 | } |
58 | |
59 | __forceinline float& operator [](size_t i) { return data[i]; } |
60 | __forceinline const float& operator [](size_t i) const { return data[i]; } |
61 | }; |
62 | |
63 | // Parses tensors from a buffer |
64 | std::map<std::string, Tensor> parseTensors(void* buffer); |
65 | |
66 | } // namespace oidn |
67 | |