Wrapper for np.meshgrid.

Given a 1D Tensor or Variable containing integer sequence lengths, return a 1D tensor or variable containing the size sequences that

Similar to Matlab's interp2 function. Finds values for query points on a grid using bilinear interpolation. Args: grid: a 4-D float `Tenso

Picks tempo and gain uniformly, applies it to the utterance by using sox utility. Returns the augmented utterance.

See appendix G for detailed MILP formula

Constructs a MobileNetV2 architecture from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" <https://arxiv.org/abs/1801.04381>`_.

:param audio_path: Path where audio is stored from the manifest file :return: Audio in training/testing format

Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Generate queries for fig 17 and plot results

@ request_list: [num_requested_samples_class_x for class_x in requested_x]; @ data_distribution: numpy.array([client_id, num_samples_class_x]

Testing selector that preserves data representativeness. Given the developer-specified tolerance `dev_target`, Oort can estimate the number

@ num_of_clients: # of clients selected

Spec augmentation Calculation Function. 'SpecAugment' have 3 steps for audio data augmentation. first step is time warping using Tensorflow's

Train the model

@ feedbacks['reward']: statistical utility @ feedbacks['duration']: system utility @ feedbacks['count']: times of involved

Computes the Word Error Rate, defined as the edit distance between the two provided sentences after tokenizing to words. Argu