5e2b9358d6741840f3b86adbaf4f5ac8a99ea9ee,keras/layers/recurrent.py,LSTM,get_output,#LSTM#Any#,336

Before Change

            sequences=[xi, xf, xo, xc],
            outputs_info=[
                alloc_zeros_matrix(X.shape[1], self.output_dim), 
                alloc_zeros_matrix(X.shape[1], self.output_dim)
            ], 
            non_sequences=[self.U_i, self.U_f, self.U_o, self.U_c], 
            truncate_gradient=self.truncate_gradient 
        )

After Change

            sequences=[xi, xf, xo, xc],
            outputs_info=[
                T.unbroadcast(alloc_zeros_matrix(X.shape[1], self.output_dim), 1),
                T.unbroadcast(alloc_zeros_matrix(X.shape[1], self.output_dim), 1)
            ], 
            non_sequences=[self.U_i, self.U_f, self.U_o, self.U_c], 
            truncate_gradient=self.truncate_gradient 
        )

Instances