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/dispatchers/ValueMapLoader.h"
      26              : #include "neml2/misc/assertions.h"
      27              : 
      28              : namespace neml2
      29              : {
      30              : std::size_t
      31            6 : broadcast_batch_size(const ValueMap & value_map, Size batch_dim)
      32              : {
      33            6 :   Size size = 0;
      34           18 :   for (auto && [key, tensor] : value_map)
      35           12 :     size = std::max(size, tensor.batch_size(batch_dim).concrete());
      36           18 :   for (auto && [key, tensor] : value_map)
      37              :   {
      38           12 :     auto s = tensor.batch_size(batch_dim).concrete();
      39           12 :     neml_assert(s == 1 || s == size,
      40              :                 "Batch sizes along batch dimension ",
      41              :                 batch_dim,
      42              :                 " are not compatible. Expected 1 or ",
      43              :                 size,
      44              :                 ", got ",
      45              :                 s,
      46              :                 ".");
      47              :   }
      48            6 :   return size;
      49              : }
      50              : 
      51            6 : ValueMapLoader::ValueMapLoader(const ValueMap & value_map, Size batch_dim)
      52            6 :   : _value_map(value_map),
      53            6 :     _batch_dim(batch_dim),
      54            6 :     _slice_gen(0, broadcast_batch_size(value_map, batch_dim))
      55              : {
      56            6 : }
      57              : 
      58              : std::size_t
      59           17 : ValueMapLoader::total() const
      60              : {
      61           17 :   return _slice_gen.total();
      62              : }
      63              : 
      64              : std::pair<std::size_t, ValueMap>
      65           13 : ValueMapLoader::generate(std::size_t n)
      66              : {
      67           13 :   auto && [m, slice] = _slice_gen.next(n);
      68              : 
      69           13 :   ValueMap work;
      70           39 :   for (auto && [key, tensor] : _value_map)
      71           26 :     work[key] = tensor.size(_batch_dim) == 1 ? tensor : tensor.batch_slice(_batch_dim, slice);
      72              : 
      73           26 :   return {m, std::move(work)};
      74           13 : }
      75              : } // namespace neml2