# DJANGO IMPORTS from django.conf import settings # REST_FRAMEWORK from rest_framework import serializers # LOCAL IMPORT from common.utils import get_model, build_absolute_uri, filter_query from payment.serializers import CardSerializer # THIRD PARTY import stripe OrderDetail = get_model('order') Artist = get_model('artist') BookService = get_model('book_service') Service = get_model('service') stripe.api_key = settings.STRIPE_KEY class MyDetailSerializer(serializers.ModelSerializer): class Meta: model = OrderDetail fields = [ 'id', 'book_by', 'full_address', 'apt_no', 'zip_code', 'state', 'note' ]
val_data = gluon.data.DataLoader(ImageLabelDataset( image_root, val_label, shuffle=False).transform_first(transform_test), batch_size=batch_size, shuffle=False, num_workers=8) test_data = gluon.data.DataLoader(ImageLabelDataset( image_root, test_label, shuffle=False).transform_first(transform_test), batch_size=batch_size, shuffle=False, num_workers=8) #model_name = 'ResNet50_v2' #finetune_net = get_model(model_name, pretrained=True) finetune_net = get_model(class_num=classes, ctx=ctx) """ with finetune_net.name_scope(): finetune_net.output = nn.Dense(classes) finetune_net.output.initialize(init.Xavier(), ctx = ctx) finetune_net.collect_params().reset_ctx(ctx) finetune_net.hybridize() """ trainer = gluon.Trainer(finetune_net.collect_params(), 'sgd', { 'learning_rate': lr, 'momentum': momentum, 'wd': wd }) metric = mx.metric.Accuracy() L = gluon.loss.SoftmaxCrossEntropyLoss()
from datetime import datetime # DJANGO IMPORT # REST IMPORT from rest_framework.serializers import ModelSerializer, BaseSerializer from rest_framework import serializers # THIRD PARTY # LOCAL IMPORT from .utils import generate_otp, get_or_create_token from common.models import auth_app from common.utils import get_model, get_object Account = get_model('account') HairProfile = get_model('hair_profile') Service = get_model('service') class RegistrationSerializer(ModelSerializer): password = serializers.CharField(required=False, allow_blank=True, allow_null=True) social_id = serializers.CharField(required=False, allow_null=True, allow_blank=True) class Meta:
# DJANGO IMPORTS from django.conf import settings # REST IMPORT from rest_framework import serializers # LOCAL IMPORT from common.utils import get_model, filter_query from common.models import model_app from .utils import send_email_artist # THIRD PARTY import stripe CardManagement = get_model('card_management') Review = get_model('review') Payment = get_model('payment') stripe.api_key = settings.STRIPE_KEY class CardSerializer(serializers.ModelSerializer): stripe_token = serializers.CharField(required=True, allow_blank=False, allow_null=False) number = serializers.CharField(required=False, allow_blank=True, allow_null=True) country = serializers.CharField(required=False, allow_blank=True,
print('+' * 80) # prepare graph and data fog_graph, workers = get_fog_graph(hook, args.num_workers, args.num_clusters, args.shuffle_workers, args.uniform_clusters) print('Loading data: {}'.format(paths.data_path)) X_trains, X_tests, y_trains, y_tests, meta = pkl.load( open(paths.data_path, 'rb')) test_loader = get_testloader(args.dataset, args.test_batch_size) print(fog_graph) print('+' * 80) # Fire the engines model, loss_type, agg_type = get_model(args) if args.batch_size == 0: args.batch_size = int(meta['batch_size']) print("Resetting batch size: {}...".format(args.batch_size)) print('+' * 80) best = 0 x_ax = [] y_ax = [] l_test = [] l_mean = [] l_std = [] y_mean = []
from django.contrib import admin from .models import Account, HairProfile from common.models import model_app from common.utils import get_model # Register your models here. # admin.site.register(Account) # admin.site.register(HairProfile) for i in model_app: model = get_model(i) admin.site.register(model) admin.autodiscover() admin.site.enable_nav_sidebar = False