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/LinspaceTensor.h"
26 : #include "neml2/misc/assertions.h"
27 :
28 : namespace neml2
29 : {
30 : register_NEML2_object(LinspaceTensor);
31 :
32 : OptionSet
33 2 : LinspaceTensor::expected_options()
34 : {
35 2 : OptionSet options = UserTensorBase::expected_options();
36 2 : options.doc() = "Construct a Tensor linearly spaced on the batch dimensions. See "
37 2 : "neml2::TensorBase::linspace for a detailed explanation.";
38 :
39 4 : options.set<TensorName<Tensor>>("start");
40 4 : options.set("start").doc() = "The starting tensor";
41 :
42 4 : options.set<TensorName<Tensor>>("end");
43 4 : options.set("end").doc() = "The ending tensor";
44 :
45 4 : options.set<Size>("nstep");
46 4 : options.set("nstep").doc() = "The number of steps with even spacing along the new dimension";
47 :
48 4 : options.set<Size>("dim") = 0;
49 4 : options.set("dim").doc() = "Where to insert the new dimension";
50 :
51 4 : options.set<Size>("batch_dim") = -1;
52 2 : options.set("batch_dim").doc() = "Batch dimension of the output";
53 :
54 6 : options.set<TensorShape>("batch_expand") = TensorShape();
55 4 : options.set("batch_expand").doc() = "After construction, perform an additional batch expanding "
56 2 : "operation into the given batch shape.";
57 :
58 2 : return options;
59 0 : }
60 :
61 6 : LinspaceTensor::LinspaceTensor(const OptionSet & options)
62 : : UserTensorBase(options),
63 6 : Tensor(make(options))
64 : {
65 6 : }
66 :
67 : Tensor
68 6 : LinspaceTensor::make(const OptionSet & options) const
69 : {
70 6 : auto * f = this->factory();
71 6 : neml_assert(f, "Internal error: factory != nullptr");
72 :
73 12 : auto t = Tensor::linspace(options.get<TensorName<Tensor>>("start").resolve(f),
74 12 : options.get<TensorName<Tensor>>("end").resolve(f),
75 : options.get<Size>("nstep"),
76 42 : options.get<Size>("dim"));
77 :
78 : // Change batch dimension if requested
79 6 : auto B = options.get<Size>("batch_dim");
80 6 : if (B >= 0)
81 5 : t = Tensor(t, B);
82 :
83 : // Expand if requested
84 6 : auto S = options.get<TensorShape>("batch_expand");
85 6 : if (!S.empty())
86 5 : t = t.batch_expand(S);
87 :
88 12 : return t;
89 6 : }
90 : } // namespace neml2
|