From a2731a3e9e331aa712544bd4c7e1938b8f46bf0d Mon Sep 17 00:00:00 2001 From: Reuben Morais Date: Sun, 9 Apr 2017 16:28:11 -0300 Subject: [PATCH] Remove redundant float conversions since we use __future__.division now --- DeepSpeech.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/DeepSpeech.py b/DeepSpeech.py index d9adc8ed..f2253fbe 100755 --- a/DeepSpeech.py +++ b/DeepSpeech.py @@ -697,7 +697,7 @@ def calculate_report(results_tuple): mean_wer += sample_wer # Getting the mean WER from the accumulated one - mean_wer = mean_wer / float(len(items)) + mean_wer = mean_wer / len(items) # Filter out all items with WER=0 samples = [s for s in samples if s.wer > 0] @@ -945,11 +945,11 @@ class Epoch(object): agg_mean_edit_distance += job.mean_edit_distance self.samples.extend(job.samples) - self.loss = agg_loss / float(num_jobs) + self.loss = agg_loss / num_jobs if self.report: - self.wer = agg_wer / float(num_jobs) - self.mean_edit_distance = agg_mean_edit_distance / float(num_jobs) + self.wer = agg_wer / num_jobs + self.mean_edit_distance = agg_mean_edit_distance / num_jobs # Order samles by their loss (lowest loss on top) self.samples.sort(key=lambda s: s.loss)