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/functions/diag_embed.h"
26 : #include "neml2/tensors/tensors.h"
27 :
28 : namespace neml2
29 : {
30 : #define DEFINE_BATCH_DIAG_EMDED(T) \
31 : T batch_diag_embed(const T & a, Size offset, Size d1, Size d2) \
32 : { \
33 : return T(at::diag_embed( \
34 : a, offset, d1 < 0 ? d1 - a.base_dim() : d1, d2 < 0 ? d2 - a.base_dim() : d2), \
35 : a.batch_dim() + 1); \
36 : } \
37 : static_assert(true)
38 6 : FOR_ALL_TENSORBASE(DEFINE_BATCH_DIAG_EMDED);
39 :
40 : Tensor
41 56 : base_diag_embed(const Tensor & a, Size offset, Size d1, Size d2)
42 : {
43 : return Tensor(
44 112 : at::diag_embed(
45 0 : a, offset, d1 < 0 ? d1 : d1 + a.batch_dim() + 1, d2 < 0 ? d2 : d2 + a.batch_dim() + 1),
46 168 : a.batch_sizes());
47 : }
48 : } // namespace neml2
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