ch02_basics/moving_avg.py TypeError: Can not convert a float32 into a Tensor.

[AlexPetit12]

Hi,

I am trying to reproduce your exponential moving average example but I get the error "TypeError: Can not convert a float32 into a Tensor. "

I modified the lines

        summary_str, curr_value = sess.run([merged, update_avg], feed_dict={curr_value: raw_data[i]})
        sess.run(tf.assign(prev_avg, curr_value))
        print(raw_data[i], curr_value)

for

        summary_str, curr_value_float = sess.run([merged, update_avg], feed_dict={curr_value: raw_data[i]})
        sess.run(tf.assign(prev_avg, curr_value_float))
        print(raw_data[i], curr_value_float)

to make things work, but I was wondering is this way the best solution or can we do better?

Thanks