Tensor-board inconsistent line graph colour

username: alameer
cooked: <p>I’m using TensorBoard to create graphs for the model that I am training. I would like to know if it is possible to change the order tensorboard assign the colour so it is consistent across all experiments. For example  in the screenshots below VGG was once blue then the second time was orange. How do I ensure I get the same colour for all me experiments are assigned the same colour. Is this to do with the file name or something else? Is there any way to keep the colour the same. I am writing a report and want to keep referring to the same colour throughout? Many Thanks in advance.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/a/c/acb048a4420fc378bb3080c6b9a448891a40205a.png" data-download-href="https://discuss.pytorch.org/uploads/default/acb048a4420fc378bb3080c6b9a448891a40205a" title="Screenshot 2020-08-20 at 21.42.21"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/a/c/acb048a4420fc378bb3080c6b9a448891a40205a_2_630x500.png" alt="Screenshot 2020-08-20 at 21.42.21" data-base62-sha1="oDFOhXq1LoEtFPjF7qeyHObprXY" width="630" height="500" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/a/c/acb048a4420fc378bb3080c6b9a448891a40205a_2_630x500.png, https://discuss.pytorch.org/uploads/default/optimized/3X/a/c/acb048a4420fc378bb3080c6b9a448891a40205a_2_945x750.png 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/a/c/acb048a4420fc378bb3080c6b9a448891a40205a_2_1260x1000.png 2x" data-dominant-color="F5EDE8"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Screenshot 2020-08-20 at 21.42.21</span><span class="informations">1924×1526 258 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div> <div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/4/1/41c9dcf5829817c5413b4e05ad7a1f68005ed914.png" data-download-href="https://discuss.pytorch.org/uploads/default/41c9dcf5829817c5413b4e05ad7a1f68005ed914" title="Screenshot 2020-08-20 at 21.41.08"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41c9dcf5829817c5413b4e05ad7a1f68005ed914_2_643x500.png" alt="Screenshot 2020-08-20 at 21.41.08" data-base62-sha1="9nZwzkS6P8iONtNBdV3erdjY22w" width="643" height="500" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41c9dcf5829817c5413b4e05ad7a1f68005ed914_2_643x500.png, https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41c9dcf5829817c5413b4e05ad7a1f68005ed914_2_964x750.png 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/4/1/41c9dcf5829817c5413b4e05ad7a1f68005ed914_2_1286x1000.png 2x" data-dominant-color="F4ECE6"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Screenshot 2020-08-20 at 21.41.08</span><span class="informations">1868×1451 249 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>