#issue help wanted 8 reference for mask matrix of 1s

@fsalv @EscVM
With reference to https://github.com/EscVM/RAMS/issues/8#issuecomment-867725589
Matrix of how many ones should I set cropped_y_mask as ?

cropped_y_mask = tf.cast([1,1,1,1,1], tf.float32)

cropped_predictions_masked = tf.cast(
cropped_predictions, tf.float32)*cropped_y_mask
cropped_labels_masked = cropped_labels*cropped_y_mask

total_pixels_masked = tf.reduce_sum(cropped_y_mask, axis=[1, 2])

I am getting error
InvalidArgumentError: Invalid reduction dimension (1 for input with 1 dimension(s) [Op:Sum]
D:\SuperResolution\RAMS\utils\loss.py in l1_loss(y_true, y_pred, HR_SIZE)
50 cropped_labels_masked = cropped_labels*cropped_y_mask
51
---> 52 total_pixels_masked = tf.reduce_sum(cropped_y_mask, axis=[1, 2])
53
54 # bias brightness

I tried all combos
cropped_y_mask =[1,1,1,1,1]
cropped_y_mask =[1]
cropped_y_mask =[1,1]

[FullError.txt](https://github.com/EscVM/RAMS/files/6915896/FullError.txt)
Any help appreciated