Commit 62dd4d94 authored by galenxing's avatar galenxing
Browse files

yapf (again)

parent da99bb77
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+9 −10
Original line number Diff line number Diff line
@@ -270,8 +270,8 @@ class TestLayers(test_util.TensorFlowTestCase):
      coords_tensor = tf.convert_to_tensor(coords)
      nbr_list_tensor = tf.convert_to_tensor(nbr_list)

      dist_tensor = InteratomicL2Distances(N_atoms, M_nbrs, ndim)(
          coords_tensor, nbr_list_tensor)
      dist_tensor = InteratomicL2Distances(N_atoms, M_nbrs,
                                           ndim)(coords_tensor, nbr_list_tensor)

      dists = dist_tensor.eval()
      assert dists.shape == (N_atoms, M_nbrs)
@@ -419,8 +419,7 @@ class TestLayers(test_util.TensorFlowTestCase):
      lstm = LSTMStep(n_feat, 2 * n_feat)
      out_tensor = lstm(y, state_zero, state_one)
      sess.run(tf.global_variables_initializer())
      h_out, h_copy_out, c_out = (out_tensor[0].eval(),
                                  out_tensor[1][0].eval(),
      h_out, h_copy_out, c_out = (out_tensor[0].eval(), out_tensor[1][0].eval(),
                                  out_tensor[1][1].eval())
      assert h_out.shape == (n_test, n_feat)
      assert h_copy_out.shape == (n_test, n_feat)
@@ -460,8 +459,8 @@ class TestLayers(test_util.TensorFlowTestCase):
      test = tf.convert_to_tensor(test, dtype=tf.float32)
      support = tf.convert_to_tensor(support, dtype=tf.float32)

      iter_ref_embedding_layer = IterRefLSTMEmbedding(n_test, n_support,
                                                      n_feat, max_depth)
      iter_ref_embedding_layer = IterRefLSTMEmbedding(n_test, n_support, n_feat,
                                                      max_depth)
      out_tensor = iter_ref_embedding_layer(test, support)
      sess.run(tf.global_variables_initializer())
      test_out, support_out = out_tensor[0].eval(), out_tensor[1].eval()