def test_forward_does_correct_computation(self):
encoder = BagOfEmbeddingsEncoder(embedding_dim=2)
input_tensor = Variable(
torch.FloatTensor([[[.7, .8], [.1, 1.5], [.3, .6]], [[.5, .3], [1.4, 1.1], [.3, .9]]]))
mask = Variable(torch.ByteTensor([[1, 1, 1], [1, 1, 0]]))
encoder_output = encoder(input_tensor, mask)
assert_almost_equal(encoder_output.data.numpy(),
numpy.asarray([[.7 + .1 + .3, .8 + 1.5 + .6], [.5 + 1.4, .3 + 1.1]]))
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