matthewroche

import os
from base64 import b64decode

# Handles a call from the intervals.icu OauthAPI, requests the auth token and returns this in a redirect URL
def lambda_handler(event, context):
    
    # Generic error object to handle errors
    def createErrorObject(reason):
        return {
            'statusCode': 301,

matthewroche

# Create custom classifier 
class PoolingLinearClassifierSoftmax(nn.Module):
    def __init__(self, layers, drops):
        super().__init__()
        self.layers = nn.ModuleList([
            LinearBlock(layers[i], layers[i + 1], drops[i]) for i in range(len(layers) - 1)])

    def pool(self, x, bs, is_max):
        f = F.adaptive_max_pool1d if is_max else F.adaptive_avg_pool1d
        return f(x.permute(1,2,0), (1,)).view(bs,-1)