pytorch-examples | Simple examples to introduce PyTorch | Machine Learning library

for torchver in 1.3.1; do 
    for cuversion in 92 100 101; do 
        for pyversion in 3.5 3.6 3.7; do 
            conda env remove -n torch${torchver}_${cuversion}_py${pyversion} ; 
            conda create -n torch${torchver}_${cuversion}_py${py  

# trainable.metric = "mean_accuracy"
sched = HyperSched(
    num_atoms,
    scaling_dict=get_scaling(
        args.trainable_id, args.model_string, args.data
    ),  # optional model for scaling
    deadline=args.global_deadline,
    resource_policy=  

  resnet18 : 0.004030
   alexnet : 0.001395
     vgg16 : 0.002310
squeezenet : 0.009848
 mobilenet : 0.073611

  resnet18 : 0.003688
   alexnet : 0.001179
     vgg16 : 0.002055
squeezenet : 0.003385
 mobilenet : 0.076977

class Net(nn.Module):
    de  

from absl import app, flags
from easydict import EasyDict
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from datasets import MNISTDataset

from cleverhans.torch.attacks.fast_gradient_method i