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| DataLoader (Tensor< T > *x, Tensor< T > *y, unsigned int batch_size) |
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virtual void | next (Tensor< T > *x_batch, Tensor< T > *y_batch)=0 |
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virtual void | reset ()=0 |
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virtual unsigned int | get_batch_size () const |
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virtual void | set_batch_size (unsigned int size) |
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virtual unsigned int | get_num_batches () const |
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Tensor< T > * | x |
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Tensor< T > * | y |
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unsigned int | batch_size |
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unsigned int | sample_size_x |
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unsigned int | sample_size_y |
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unsigned int | num_batches |
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◆ DataLoader()
Constructs a DataLoader object with given data and parameters
- Parameters
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x | input features |
y | output labels |
batch_size | |
◆ next()
◆ reset()
The documentation for this class was generated from the following file: