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/stack.h"
      26              : #include "neml2/tensors/tensors.h"
      27              : #include "neml2/tensors/assertions.h"
      28              : 
      29              : namespace neml2
      30              : {
      31              : #define DEFINE_BATCH_STACK(T)                                                                      \
      32              :   T batch_stack(const std::vector<T> & tensors, Size d)                                            \
      33              :   {                                                                                                \
      34              :     neml_assert_dbg(!tensors.empty(), "batch_stack must be given at least one tensor");            \
      35              :     std::vector<ATensor> torch_tensors(tensors.begin(), tensors.end());                            \
      36              :     auto d2 = d >= 0 ? d : d - tensors.begin()->base_dim();                                        \
      37              :     return T(at::stack(torch_tensors, d2), tensors.begin()->batch_dim() + 1);                      \
      38              :   }                                                                                                \
      39              :   T batch_stack(const std::initializer_list<T> & tensors, Size d)                                  \
      40              :   {                                                                                                \
      41              :     return batch_stack(std::vector<T>(tensors), d);                                                \
      42              :   }                                                                                                \
      43              :   static_assert(true)
      44           14 : FOR_ALL_TENSORBASE(DEFINE_BATCH_STACK);
      45              : 
      46              : Tensor
      47         3186 : base_stack(const std::vector<Tensor> & tensors, Size d)
      48              : {
      49         3186 :   neml_assert_dbg(!tensors.empty(), "base_stack must be given at least one tensor");
      50         3186 :   std::vector<ATensor> torch_tensors(tensors.begin(), tensors.end());
      51         3186 :   auto d2 = d < 0 ? d : d + tensors.begin()->batch_dim();
      52         6372 :   return neml2::Tensor(at::stack(torch_tensors, d2), tensors.begin()->batch_sizes());
      53         3186 : }
      54              : } // namespace neml2