97031ed8f6afaf26a21dd98bb0bfdb4cacc65ca2,keras/layers/wrappers.py,Bidirectional,compute_output_shape,#Bidirectional#Any#,277

Before Change

        self.backward_layer.set_weights(weights[nw // 2:])

    def compute_output_shape(self, input_shape):
        if self.merge_mode in ["sum", "ave", "mul"]:
            return self.forward_layer.compute_output_shape(input_shape)
        elif self.merge_mode == "concat":
            shape = list(self.forward_layer.compute_output_shape(input_shape))

After Change

        if self.merge_mode == "concat":
            output_shape = list(output_shape)
            output_shape[-1] *= 2
            output_shape = tuple(output_shape)
        elif self.merge_mode is None:
            output_shape = [output_shape] * 2

        if self.return_state:

Instances