pytorch_pfn_extras.training.extensions.variable_statistics_plot.Reservoir#
- class pytorch_pfn_extras.training.extensions.variable_statistics_plot.Reservoir(size, data_shape, dtype=<class 'numpy.float32'>)#
Bases:
object
Reservoir sample with a fixed sized buffer.
Methods
__init__
(size, data_shape[, dtype])add
(x[, idx])get_data
()- Parameters:
size (int) –
data_shape (Tuple[int, ...]) –
dtype (Any) –
- __init__(size, data_shape, dtype=<class 'numpy.float32'>)#
- Parameters:
size (int) –
data_shape (Tuple[int, ...]) –
dtype (Any) –
- Return type:
None
- add(x, idx=None)#
- Parameters:
x (Any) –
idx (Optional[Any]) –
- Return type:
None
- get_data()#
- Return type:
Tuple[Any, Any]