fix resume log

tools/analysis_tools/analyze_logs.py

@@ -53,14 +53,18 @@ def plot_curve(log_dicts, args):
  f'{args.json_logs[i]} does not contain metric {metric}')
 
  if args.mode == 'eval':
- xs = np.arange(args.interval, max(epochs) + 1, args.interval)
+ # if current training is resumed from previous checkpoint
+ # we lost information in early epochs
+ # `xs` should start according to `min(epochs)`
+ x0 = min(epochs) + args.interval - min(epochs) % args.interval
+ xs = np.arange(x0, max(epochs) + 1, args.interval)
  ys = []
  for epoch in epochs[args.interval - 1::args.interval]:
  ys += log_dict[epoch][metric]
 
  # if training is aborted before eval of the last epoch
- # xs and ys will have different length and cause an error
- # check if ys[-1] is empty here
+ # `xs` and `ys` will have different length and cause an error
+ # check if `ys[-1]` is empty here
  if not log_dict[epoch][metric]:
  xs = xs[:-1]