Line data Source code
1 : // Copyright 2024, UChicago Argonne, LLC
2 : // All Rights Reserved
3 : // Software Name: NEML2 -- the New Engineering material Model Library, version 2
4 : // By: Argonne National Laboratory
5 : // OPEN SOURCE LICENSE (MIT)
6 : //
7 : // Permission is hereby granted, free of charge, to any person obtaining a copy
8 : // of this software and associated documentation files (the "Software"), to deal
9 : // in the Software without restriction, including without limitation the rights
10 : // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
11 : // copies of the Software, and to permit persons to whom the Software is
12 : // furnished to do so, subject to the following conditions:
13 : //
14 : // The above copyright notice and this permission notice shall be included in
15 : // all copies or substantial portions of the Software.
16 : //
17 : // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
18 : // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
19 : // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
20 : // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
21 : // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
22 : // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
23 : // THE SOFTWARE.
24 :
25 : #include "neml2/user_tensors/ZerosPrimitiveTensor.h"
26 :
27 : #include "neml2/tensors/tensors.h"
28 :
29 : namespace neml2
30 : {
31 : template <typename T>
32 : OptionSet
33 44 : ZerosPrimitiveTensor<T>::expected_options()
34 : {
35 : // This is the only way of getting tensor type in a static method like this...
36 : // Trim 6 chars to remove 'neml2::'
37 44 : auto tensor_type = utils::demangle(typeid(T).name()).substr(7);
38 :
39 44 : OptionSet options = UserTensorBase::expected_options();
40 44 : options.doc() = "Construct a " + tensor_type + " with given batch shape filled with zeros.";
41 :
42 132 : options.set<TensorShape>("batch_shape") = {};
43 44 : options.set("batch_shape").doc() = "Batch shape";
44 :
45 88 : return options;
46 44 : }
47 :
48 : template <typename T>
49 13 : ZerosPrimitiveTensor<T>::ZerosPrimitiveTensor(const OptionSet & options)
50 13 : : T(T::zeros(options.get<TensorShape>("batch_shape"), default_tensor_options())),
51 26 : UserTensorBase(options)
52 : {
53 13 : }
54 :
55 : #define ZEROSPRIMITIVETENSOR_REGISTER(T) \
56 : using Zeros##T = ZerosPrimitiveTensor<T>; \
57 : register_NEML2_object_alias(Zeros##T, "Zeros" #T)
58 : FOR_ALL_PRIMITIVETENSOR(ZEROSPRIMITIVETENSOR_REGISTER);
59 : } // namespace neml2
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