o }oiB @sddlmZddlZddlmZmZmZeddGdddZeeed d e dd efd Z eeed d e ej dd ed fej dej eed ej dfd Zeeed d ej eej dd ZdS)) dataclassN) BATCH_SIZE NUM_BATCHES NUM_CLASSEST)frozenc@s&eZdZUdZejed<ejed<dS) LossInputa5 The input for ``nemo.collections.common.metrics.GlobalAverageLossMetric`` metric tests. Args: loss_sum_or_avg: a one dimensional float tensor which contains losses for averaging. Each element is either a sum or mean of several losses depending on the parameter ``take_avg_loss`` of the ``nemo.collections.common.metrics.GlobalAverageLossMetric`` class. num_measurements: a one dimensional integer tensor which contains number of measurements which sums or average values are in ``loss_sum_or_avg``. loss_sum_or_avgnum_measurementsN)__name__ __module__ __qualname____doc__torchTensor__annotations__rrX/home/ubuntu/.local/lib/python3.10/site-packages/tests/collections/common/loss_inputs.pyr$s  rg@g?d)r r )dtype) dataclassesrrpl_utilsrrrrrandrandintNO_ZERO_NUM_MEASUREMENTScatint32zerosSOME_NUM_MEASUREMENTS_ARE_ZEROALL_NUM_MEASUREMENTS_ARE_ZEROrrrrs&