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/tensors/Scalar.h"
26 : #include "neml2/tensors/assertions.h"
27 :
28 : namespace neml2
29 : {
30 2082 : Scalar::Scalar(const CScalar & init, const TensorOptions & options)
31 2082 : : Scalar(at::scalar_tensor(init, options))
32 : {
33 2082 : neml_assert_dbg(
34 2082 : !options.requires_grad(),
35 : "When creating a Scalar from a constant, requires_grad must be false. If you are "
36 : "trying to create a Scalar as a leaf variable, use Scalar::create or Scalar::full.");
37 2082 : }
38 :
39 : Scalar
40 131 : Scalar::identity_map(const TensorOptions & options)
41 : {
42 131 : return Scalar::ones(options);
43 : }
44 :
45 : neml2::Tensor
46 8238 : Scalar::base_unsqueeze_to(Size n) const
47 : {
48 16476 : indexing::TensorIndices net{indexing::Ellipsis};
49 8238 : net.insert(net.end(), n, indexing::None);
50 24714 : return neml2::Tensor(index(net), batch_sizes());
51 16476 : }
52 : } // namespace neml2
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