decagon-pytorch/tests/icosagon/test_model.py

from icosagon.data import Data
from icosagon.model import Model
from icosagon.trainprep import PreparedData
import torch
import ast


def _is_identity_function(f):
    for x in range(-100, 101):
        if f(x) != x:
            return False
    return True


def test_model_01():
    d = Data()
    d.add_node_type('Dummy', 10)
    fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
    fam.add_relation_type('Dummy Rel', torch.rand(10, 10).round())

    m = Model(d)

    assert m.data == d
    assert m.layer_dimensions == [32, 64]
    assert (m.ratios.train, m.ratios.val, m.ratios.test) == (.8, .1, .1)
    assert m.keep_prob == 1.
    assert _is_identity_function(m.rel_activation)
    assert m.layer_activation == torch.nn.functional.relu
    assert _is_identity_function(m.dec_activation)
    assert m.lr == 0.001
    assert m.loss == torch.nn.functional.binary_cross_entropy_with_logits
    assert m.batch_size == 100
    assert isinstance(m.prep_d, PreparedData)
    assert isinstance(m.seq, torch.nn.Sequential)
    assert isinstance(m.opt, torch.optim.Optimizer)