From f312e0921bae75c3d88a619b6e985e2f25d18b2a Mon Sep 17 00:00:00 2001
From: Bar <29775567+barrh@users.noreply.github.com>
Date: Wed, 18 Sep 2019 16:23:31 +0300
Subject: [PATCH] Fix typo: statsitic --> statistic (#385)
---
distiller/apputils/image_classifier.py | 6 +++---
distiller/data_loggers/logger.py | 6 +++---
distiller/utils.py | 4 ++--
3 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/distiller/apputils/image_classifier.py b/distiller/apputils/image_classifier.py
index 4e7e3e7..b008746 100755
--- a/distiller/apputils/image_classifier.py
+++ b/distiller/apputils/image_classifier.py
@@ -92,7 +92,7 @@ class ClassifierCompressor(object):
loggers=[self.tflogger, self.pylogger], args=self.args)
if verbose:
distiller.log_weights_sparsity(self.model, epoch, [self.tflogger, self.pylogger])
- distiller.log_activation_statsitics(epoch, "train", loggers=[self.tflogger],
+ distiller.log_activation_statistics(epoch, "train", loggers=[self.tflogger],
collector=collectors["sparsity"])
if self.args.masks_sparsity:
msglogger.info(distiller.masks_sparsity_tbl_summary(self.model,
@@ -118,7 +118,7 @@ class ClassifierCompressor(object):
with collectors_context(self.activations_collectors["valid"]) as collectors:
top1, top5, vloss = validate(self.val_loader, self.model, self.criterion,
[self.pylogger], self.args, epoch)
- distiller.log_activation_statsitics(epoch, "valid", loggers=[self.tflogger],
+ distiller.log_activation_statistics(epoch, "valid", loggers=[self.tflogger],
collector=collectors["sparsity"])
save_collectors_data(collectors, msglogger.logdir)
@@ -617,7 +617,7 @@ def test(test_loader, model, criterion, loggers, activations_collectors, args):
activations_collectors = create_activation_stats_collectors(model, None)
with collectors_context(activations_collectors["test"]) as collectors:
top1, top5, lossses = _validate(test_loader, model, criterion, loggers, args)
- distiller.log_activation_statsitics(-1, "test", loggers, collector=collectors['sparsity'])
+ distiller.log_activation_statistics(-1, "test", loggers, collector=collectors['sparsity'])
save_collectors_data(collectors, msglogger.logdir)
return top1, top5, lossses
diff --git a/distiller/data_loggers/logger.py b/distiller/data_loggers/logger.py
index 516208b..bc99a0d 100755
--- a/distiller/data_loggers/logger.py
+++ b/distiller/data_loggers/logger.py
@@ -52,7 +52,7 @@ class DataLogger(object):
def log_training_progress(self, stats_dict, epoch, completed, total, freq):
pass
- def log_activation_statsitic(self, phase, stat_name, activation_stats, epoch):
+ def log_activation_statistic(self, phase, stat_name, activation_stats, epoch):
pass
def log_weights_sparsity(self, model, epoch):
@@ -83,7 +83,7 @@ class PythonLogger(DataLogger):
log = log + '{name} {val:.6f} '.format(name=name, val=val)
self.pylogger.info(log)
- def log_activation_statsitic(self, phase, stat_name, activation_stats, epoch):
+ def log_activation_statistic(self, phase, stat_name, activation_stats, epoch):
data = []
for layer, statistic in activation_stats.items():
data.append([layer, statistic])
@@ -146,7 +146,7 @@ class TensorBoardLogger(DataLogger):
self.tblogger.scalar_summary(prefix+tag, value, total_steps(total, epoch, completed))
self.tblogger.sync_to_file()
- def log_activation_statsitic(self, phase, stat_name, activation_stats, epoch):
+ def log_activation_statistic(self, phase, stat_name, activation_stats, epoch):
group = stat_name + '/activations/' + phase + "/"
for tag, value in activation_stats.items():
self.tblogger.scalar_summary(group+tag, value, epoch)
diff --git a/distiller/utils.py b/distiller/utils.py
index 1b55f25..ac0158e 100755
--- a/distiller/utils.py
+++ b/distiller/utils.py
@@ -528,12 +528,12 @@ def log_training_progress(stats_dict, params_dict, epoch, steps_completed, total
logger.log_weights_distribution(params_dict, steps_completed)
-def log_activation_statsitics(epoch, phase, loggers, collector):
+def log_activation_statistics(epoch, phase, loggers, collector):
"""Log information about the sparsity of the activations"""
if collector is None:
return
for logger in loggers:
- logger.log_activation_statsitic(phase, collector.stat_name, collector.value(), epoch)
+ logger.log_activation_statistic(phase, collector.stat_name, collector.value(), epoch)
def log_weights_sparsity(model, epoch, loggers):
--
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