help wanted
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@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 Any help appreciated