LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
one_hot_impl.hpp
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1 // Copyright (c) 2014-2023, Lawrence Livermore National Security, LLC.
3 // Produced at the Lawrence Livermore National Laboratory.
4 // Written by the LBANN Research Team (B. Van Essen, et al.) listed in
5 // the CONTRIBUTORS file. <lbann-dev@llnl.gov>
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7 // LLNL-CODE-697807.
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11 // Toolkit. For details, see http://software.llnl.gov/LBANN or
12 // https://github.com/LLNL/LBANN.
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26 
27 #ifndef LBANN_LAYERS_MISC_ONE_HOT_IMPL_HPP_INCLUDED
28 #define LBANN_LAYERS_MISC_ONE_HOT_IMPL_HPP_INCLUDED
29 
32 
33 namespace lbann {
34 
35 template <typename TensorDataType, data_layout Layout, El::Device Device>
37 {
39 
40  // Make sure input tensor is scalar
41  if (this->get_input_size() != 1) {
42  const auto input_dims = this->get_input_dims();
43  std::ostringstream dim_ss;
44  for (size_t i = 0; i < input_dims.size(); ++i) {
45  dim_ss << (i > 0 ? "x" : "") << input_dims[i];
46  }
47  LBANN_ERROR(get_type(),
48  " layer \"",
49  this->get_name(),
50  "\" ",
51  "received an input tensor with invalid dimensions ",
52  "(expected 1, got ",
53  dim_ss.str(),
54  ")");
55  }
56 }
57 
58 } // namespace lbann
59 
60 #endif // LBANN_LAYERS_MISC_ONE_HOT_IMPL_HPP_INCLUDED
virtual void setup_dims()
Setup tensor dimensions Called by the &#39;setup&#39; function. If there are any input tensors, the base method sets all uninitialized output tensor dimensions equal to the first input tensor dimensions.
#define LBANN_ERROR(...)
Definition: exception.hpp:37
void setup_dims() override
Setup tensor dimensions Called by the &#39;setup&#39; function. If there are any input tensors, the base method sets all uninitialized output tensor dimensions equal to the first input tensor dimensions.