Ejemplo n.º 1
0
def get_testset(rank):
    if IID == True:
        if DATA_SET == 'Mnist':
            test_loader = Mnist(rank).get_test_data()
        if DATA_SET == 'Cifar10':
            test_loader = Cifar10(rank).get_test_data()
    else:
        if DATA_SET == 'Mnist':
            test_loader = Mnist_noniid().get_test_data()
        if DATA_SET == 'Cifar10':
            test_loader = Cifar10_noniid().get_test_data()
    return test_loader
def get_train_loader(world_size, rank, batch_size):
    if IID == True:
        if DATASET == 'Mnist':
            train_loader = Mnist(rank, batch_size).get_train_data()
        if DATASET == 'Cifar10':
            train_loader = Cifar10(rank, batch_size).get_train_data()
    else:
        if DATASET == 'Mnist':
            train_loader = Mnist_noniid(batch_size, world_size).get_train_data(rank)
        if DATASET == 'Cifar10':
            train_loader = Cifar10_noniid(batch_size, world_size).get_train_data(rank)
    return train_loader
Ejemplo n.º 3
0
def get_local_data(world_size, rank, batch_size):
    logging('enter get local data')
    if IID == True:
        if DATA_SET == 'Mnist':
            train_loader = Mnist(rank, batch_size).get_train_data()
        if DATA_SET == 'Cifar10':
            train_loader = Cifar10(rank, batch_size).get_train_data()
    else:
        if DATA_SET == 'Mnist':
            train_loader = Mnist_noniid(batch_size, world_size).get_train_data(rank)
        if DATA_SET == 'Cifar10':
            train_loader = Cifar10_noniid(batch_size, world_size).get_train_data(rank)
    return train_loader
Ejemplo n.º 4
0
def get_local_data(size, rank, batchsize):
    if IID == True:
        if DATA_SET == 'Mnist':
            train_loader = Mnist(batchsize).get_train_data()
        if DATA_SET == 'Cifar10':
            train_loader = Cifar10(batchsize).get_train_data()
    else:

        if DATA_SET == 'Mnist':
            train_loader = Mnist_noniid(batchsize, size).get_train_data(rank)
        if DATA_SET == 'Cifar10':
            train_loader = Cifar10_noniid(batchsize, size).get_train_data(rank)

    return train_loader
Ejemplo n.º 5
0
def get_testset():
    if IID == True:
        if DATA_SET == 'Mnist':
            test_loader = Mnist().get_test_data()
        if DATA_SET == 'Cifar10':
            test_loader = Cifar10().get_test_data()
    else:
        if DATA_SET == 'Mnist':
            test_loader = Mnist_noniid().get_test_data()
        if DATA_SET == 'Cifar10':
            test_loader = Cifar10_noniid().get_test_data()
    for step, (b_x, b_y) in enumerate(test_loader):
        test_x = b_x
        test_y = b_y
    return test_x, test_y