26edeaf181d6ead3bd3452e4259de306abc89dd4,tensorforce/core/layers/convolution.py,Conv1d,get_output_spec,#Conv1d#Any#,80

Before Change

        return dict(type="float", shape=(0, 0))

    def get_output_spec(self, input_spec):
        if self.padding == "same":
            shape = (ceil(input_spec["shape"][0] / self.stride),)
        elif self.padding == "valid":
            shape = (ceil((input_spec["shape"][0] - (self.window - 1)) / self.stride),)

        if self.squeeze:
            input_spec["shape"] = shape
        else:

After Change

        return dict(type="float", shape=(0, 0))

    def get_output_spec(self, input_spec):
        length = conv_output_length(input_spec["shape"][0], self.window, self.padding,
                                      self.stride)

        shape = (length,)

        if self.squeeze:
            input_spec["shape"] = shape
        else:

Instances