model_builder: fix log message for diet variables

stefan-it · stefan-it · commit eb5d4cb6efd2 · 2017-09-26T22:50:12.000+02:00
diff --git a/tensor2tensor/utils/model_builder.py b/tensor2tensor/utils/model_builder.py
@@ -288,7 +288,7 @@ def nth_model(n):
   diet_vars = [
       v for v in tf.global_variables() if v.dtype == dtypes.float16_ref
   ]
-  _log_variable_sizes(diet_vars, "Diet Varaibles")
+  _log_variable_sizes(diet_vars, "Diet Variables")
 
   # Optimize
   total_loss = tf.identity(total_loss, name="total_loss")

Original file line number	Diff line number	Diff line change
`@@ -288,7 +288,7 @@ def nth_model(n):`
`288`	`288`	`diet_vars = [`
`289`	`289`	`v for v in tf.global_variables() if v.dtype == dtypes.float16_ref`
`290`	`290`	`]`
`291`		`- _log_variable_sizes(diet_vars, "Diet Varaibles")`
	`291`	`+ _log_variable_sizes(diet_vars, "Diet Variables")`
`292`	`292`
`293`	`293`	`# Optimize`
`294`	`294`	`total_loss = tf.identity(total_loss, name="total_loss")`