#include </home/runner/work/lima/lima/deeplima/libs/tasks/graph_dp/model/iterable_dataset.h>
Definition at line 21 of file iterable_dataset.h.
◆ Batch() [1/2]
| deeplima::graph_dp::train::BatchIterator::Batch::Batch |
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◆ Batch() [2/2]
| deeplima::graph_dp::train::BatchIterator::Batch::Batch |
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const torch::Tensor & |
trainable_input, |
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const torch::Tensor & |
frozen_input, |
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const torch::Tensor & |
gold, |
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size_t |
batch_dim = 0 |
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◆ empty()
| bool deeplima::graph_dp::train::BatchIterator::Batch::empty |
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◆ frozen_input()
| const torch::Tensor & deeplima::graph_dp::train::BatchIterator::Batch::frozen_input |
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◆ get_batch_size()
| size_t deeplima::graph_dp::train::BatchIterator::Batch::get_batch_size |
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◆ gold()
| const torch::Tensor & deeplima::graph_dp::train::BatchIterator::Batch::gold |
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const |
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◆ trainable_input()
| const torch::Tensor & deeplima::graph_dp::train::BatchIterator::Batch::trainable_input |
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◆ m_batch_dim
| const size_t deeplima::graph_dp::train::BatchIterator::Batch::m_batch_dim = 0 |
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◆ m_frozen_input
| const torch::Tensor deeplima::graph_dp::train::BatchIterator::Batch::m_frozen_input |
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◆ m_gold
| const torch::Tensor deeplima::graph_dp::train::BatchIterator::Batch::m_gold |
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◆ m_trainable_input
| const torch::Tensor deeplima::graph_dp::train::BatchIterator::Batch::m_trainable_input |
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The documentation for this class was generated from the following file: