add stop_gradient to create tensor
@@ -216,6 +216,8 @@ class SLAHead(nn.Layer):
hidden = paddle.zeros((batch_size, self.hidden_size))
structure_preds = paddle.zeros((batch_size, self.max_text_length + 1, self.num_embeddings))
loc_preds = paddle.zeros((batch_size, self.max_text_length + 1, self.loc_reg_num))
+ structure_preds.stop_gradient = True
+ loc_preds.stop_gradient = True
if self.training and targets is not None:
structure = targets[0]
for i in range(self.max_text_length + 1):
@@ -223,6 +225,7 @@ class SLAHead(nn.Layer):
fea, hidden)
structure_preds[:, i, :] = structure_step
loc_preds[:, i, :] = loc_step
+ else:
pre_chars = paddle.zeros(shape=[batch_size], dtype="int32")
max_text_length = paddle.to_tensor(self.max_text_length)
# for export
