def testGridRNNEdgeCasesNoOutput(self):
with self.test_session() as sess:
with variable_scope.variable_scope(
'root', initializer=init_ops.constant_initializer(0.5)):
x = array_ops.zeros([1, 2])
m = array_ops.zeros([1, 4])
# This cell produces no output
cell = grid_rnn_cell.GridRNNCell(
num_units=2,
num_dims=2,
input_dims=0,
output_dims=None,
non_recurrent_dims=0,
non_recurrent_fn=nn_ops.relu)
g, s = cell(x, m)
self.assertEqual(g.get_shape(), (0, 0))
self.assertEqual(s.get_shape(), (1, 4))
sess.run([variables.global_variables_initializer()])
res = sess.run(
[g, s],
{x: np.array([[1., 1.]]),
m: np.array([[0.1, 0.1, 0.1, 0.1]])})
self.assertEqual(res[0].shape, (0, 0))
self.assertEqual(res[1].shape, (1, 4))
grid_rnn_test.py 文件源码
python
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