gsutil cp yaml when evolving to GCP bucket

utils/general.py

@@ -866,9 +866,6 @@ def print_mutation(hyp, results, yaml_file='hyp_evolved.yaml', bucket=''):
     x = x[np.argsort(-fitness(x))]  # sort
     np.savetxt('evolve.txt', x, '%10.3g')  # save sort by fitness
 
-    if bucket:
-        os.system('gsutil cp evolve.txt gs://%s' % bucket)  # upload evolve.txt
-
     # Save yaml
     for i, k in enumerate(hyp.keys()):
         hyp[k] = float(x[0, i + 7])
@@ -878,6 +875,9 @@ def print_mutation(hyp, results, yaml_file='hyp_evolved.yaml', bucket=''):
         f.write('# Hyperparameter Evolution Results\n# Generations: %g\n# Metrics: ' % len(x) + c + '\n\n')
         yaml.dump(hyp, f, sort_keys=False)
 
+    if bucket:
+        os.system('gsutil cp evolve.txt %s gs://%s' % (yaml_file, bucket))  # upload
+
 
 def apply_classifier(x, model, img, im0):
     # applies a second stage classifier to yolo outputs
@@ -1273,4 +1273,3 @@ def plot_results(start=0, stop=0, bucket='', id=(), labels=(),
     fig.tight_layout()
     ax[1].legend()
     fig.savefig(Path(save_dir) / 'results.png', dpi=200)
-