def test_rebatch(self):
input_shape = (29, 5, 5, 20)
result_shape = base.check_shape_agreement(convolution.Conv(30, (3, 3)),
input_shape)
self.assertEqual(result_shape, (29, 3, 3, 30))
input_shape = (29, 5, 5, 20)
result_shape = base.check_shape_agreement(
combinators.Rebatch(convolution.Conv(30, (3, 3)), n_batch_dims=1),
input_shape)
self.assertEqual(result_shape, (29, 3, 3, 30))
input_shape = (19, 29, 5, 5, 20)
result_shape = base.check_shape_agreement(
combinators.Rebatch(convolution.Conv(30, (3, 3)), n_batch_dims=2),
input_shape)
self.assertEqual(result_shape, (19, 29, 3, 3, 30))
def BuildConv():
return convolution.Conv(filters=units,
kernel_size=kernel_size,
padding='SAME')
def test_conv_rebatch(self):
input_shape = (3, 29, 5, 5, 20)
result_shape = base.check_shape_agreement(convolution.Conv(30, (3, 3)),
input_shape)
self.assertEqual(result_shape, (3, 29, 3, 3, 30))
