LinspaceBatchTensor.cxx

// Copyright 2023, UChicago Argonne, LLC
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// Software Name: NEML2 -- the New Engineering material Model Library, version 2
// By: Argonne National Laboratory
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#include "neml2/tensors/user_tensors/LinspaceBatchTensor.h"
#include "neml2/base/CrossRef.h"
 
namespace neml2
{
register_NEML2_object(LinspaceBatchTensor);
 
OptionSet
LinspaceBatchTensor::expected_options()
{
  OptionSet options = UserTensor::expected_options();
  options.doc() = "Construct a BatchTensor linearly spaced on the batch dimensions. See "
                  "neml2::BatchTensorBase::linspace for a detailed explanation.";
 
  options.set<CrossRef<BatchTensor>>("start");
  options.set("start").doc() = "The starting tensor";
 
  options.set<CrossRef<BatchTensor>>("end");
  options.set("end").doc() = "The ending tensor";
 
  options.set<TorchSize>("nstep");
  options.set("nstep").doc() = "The number of steps with even spacing along the new dimension";
 
  options.set<TorchSize>("dim") = 0;
  options.set("dim").doc() = "Where to insert the new dimension";
 
  options.set<TorchSize>("batch_dim") = -1;
  options.set("batch_dim").doc() = "Batch dimension of the output";
 
  options.set<TorchShape>("batch_expand") = TorchShape();
  options.set("batch_expand").doc() = "After construction, perform an additional batch expanding "
                                      "operation into the given batch shape.";
 
  return options;
}
 
LinspaceBatchTensor::LinspaceBatchTensor(const OptionSet & options)
  : BatchTensor(BatchTensor::linspace(options.get<CrossRef<BatchTensor>>("start"),
                                      options.get<CrossRef<BatchTensor>>("end"),
                                      options.get<TorchSize>("nstep"),
                                      options.get<TorchSize>("dim"),
                                      options.get<TorchSize>("batch_dim"))),
    UserTensor(options)
{
  auto bs = options.get<TorchShape>("batch_expand");
  if (bs.size() > 0)
    this->batch_expand(bs);
}
} // namespace neml2