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/R4.h"
      26              : #include "neml2/tensors/Scalar.h"
      27              : #include "neml2/tensors/R2.h"
      28              : #include "neml2/tensors/R3.h"
      29              : #include "neml2/tensors/SSR4.h"
      30              : #include "neml2/tensors/R5.h"
      31              : #include "neml2/tensors/Rot.h"
      32              : #include "neml2/tensors/WWR4.h"
      33              : #include "neml2/tensors/R8.h"
      34              : #include "neml2/tensors/assertions.h"
      35              : #include "neml2/tensors/mandel_notation.h"
      36              : 
      37              : namespace neml2
      38              : {
      39              : 
      40           66 : R4::R4(const SSR4 & T)
      41           66 :   : R4(mandel_to_full(mandel_to_full(T, 1)))
      42              : {
      43           66 : }
      44              : 
      45            0 : R4::R4(const WWR4 & T)
      46            0 :   : R4(skew_to_full(skew_to_full(T, 1)))
      47              : {
      48            0 : }
      49              : 
      50              : R4
      51          145 : R4::rotate(const Rot & r) const
      52              : {
      53          145 :   R2 R = r.euler_rodrigues();
      54          145 :   neml_assert_batch_broadcastable_dbg(*this, R);
      55              : 
      56         1015 :   auto res = at::einsum("...im,...jn,...ko,...lp,...mnop", {R, R, R, R, *this});
      57          290 :   return R4(res, utils::broadcast_batch_dim(*this, R));
      58          290 : }
      59              : 
      60              : R5
      61           13 : R4::drotate(const Rot & r) const
      62              : {
      63           13 :   R2 R = r.euler_rodrigues();
      64           13 :   R3 F = r.deuler_rodrigues();
      65           13 :   neml_assert_batch_broadcastable_dbg(*this, R, F);
      66              : 
      67           91 :   auto res1 = at::einsum("...jn,...ko,...lp,...mnop,...imt->...ijklt", {R, R, R, *this, F});
      68           91 :   auto res2 = at::einsum("...im,...ko,...lp,...mnop,...jnt->...ijklt", {R, R, R, *this, F});
      69           91 :   auto res3 = at::einsum("...im,...jn,...lp,...mnop,...kot->...ijklt", {R, R, R, *this, F});
      70           91 :   auto res4 = at::einsum("...im,...jn,...ko,...mnop,...lpt->...ijklt", {R, R, R, *this, F});
      71           13 :   auto res = res1 + res2 + res3 + res4;
      72              : 
      73           26 :   return R5(res, utils::broadcast_batch_dim(*this, R, F));
      74           65 : }
      75              : 
      76              : R8
      77            4 : R4::drotate_self(const Rot & r) const
      78              : {
      79            4 :   R2 R = r.euler_rodrigues();
      80            4 :   neml_assert_batch_broadcastable_dbg(*this, R);
      81              : 
      82           24 :   auto res = R8(at::einsum("...im,...jn,...ko,...lp->...ijklmnop", {R, R, R, R}), R.batch_dim());
      83              : 
      84            4 :   if (res.batch_dim() < this->batch_dim())
      85            2 :     return res.batch_expand_as(*this);
      86            2 :   return res;
      87            8 : }
      88              : 
      89              : Scalar
      90          486 : R4::operator()(Size i, Size j, Size k, Size l) const
      91              : {
      92         2430 :   return base_index({i, j, k, l});
      93          486 : }
      94              : 
      95              : R4
      96          139 : R4::transpose(Size d1, Size d2) const
      97              : {
      98          139 :   return TensorBase<R4>::base_transpose(d1, d2);
      99              : }
     100              : 
     101              : R4
     102           68 : R4::transpose_minor() const
     103              : {
     104           68 :   return TensorBase<R4>::base_transpose(0, 1).base_transpose(2, 3);
     105              : }
     106              : 
     107              : R4
     108            1 : R4::transpose_major() const
     109              : {
     110            1 :   return TensorBase<R4>::base_transpose(0, 2).base_transpose(1, 3);
     111              : }
     112              : } // namespace neml2