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       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/dispatchers/TensorLoader.h"
      26              : 
      27              : namespace neml2
      28              : {
      29            1 : TensorLoader::TensorLoader(const Tensor & tensor, Size batch_dim)
      30            1 :   : _tensor(tensor),
      31            1 :     _batch_dim(batch_dim),
      32            1 :     _slice_gen(0, tensor.size(batch_dim))
      33              : {
      34            1 : }
      35              : 
      36              : std::size_t
      37            5 : TensorLoader::total() const
      38              : {
      39            5 :   return _slice_gen.total();
      40              : }
      41              : 
      42              : std::pair<std::size_t, Tensor>
      43            3 : TensorLoader::generate(std::size_t n)
      44              : {
      45            3 :   auto && [m, slice] = _slice_gen.next(n);
      46            3 :   auto work = _tensor.batch_slice(_batch_dim, slice);
      47            6 :   return {m, std::move(work)};
      48            3 : }
      49              : } // namespace neml2