Make all tutorials run their normal length

Will Feng · Will Feng · commit 4543f6afda16 · 2018-12-06T23:52:52.000-05:00
diff --git a/beginner_source/audio_classifier_tutorial.py b/beginner_source/audio_classifier_tutorial.py
@@ -281,8 +281,7 @@ def test(model, epoch):
 # 
 
 log_interval = 20
-# for epoch in range(1, 41):  # yf225 TODO: change this back
-for epoch in range(1, 2):
+for epoch in range(1, 41):
     if epoch == 31:
         print("First round of training complete. Setting learn rate to 0.001.")
     scheduler.step()
diff --git a/beginner_source/blitz/cifar10_tutorial.py b/beginner_source/blitz/cifar10_tutorial.py
@@ -155,8 +155,7 @@ def forward(self, x):
 # We simply have to loop over our data iterator, and feed the inputs to the
 # network and optimize.
 
-# for epoch in range(2):  # loop over the dataset multiple times
-for epoch in range(1):  # yf225 TODO: change this back
+for epoch in range(2):  # loop over the dataset multiple times
 
     running_loss = 0.0
     for i, data in enumerate(trainloader, 0):
diff --git a/beginner_source/dcgan_faces_tutorial.py b/beginner_source/dcgan_faces_tutorial.py
@@ -201,8 +201,7 @@
 ndf = 64
 
 # Number of training epochs
-# num_epochs = 5
-num_epochs = 1 # yf225 TODO: DEBUG
+num_epochs = 5
 
 # Learning rate for optimizers
 lr = 0.0002
diff --git a/intermediate_source/seq2seq_translation_tutorial.py b/intermediate_source/seq2seq_translation_tutorial.py
@@ -770,8 +770,7 @@ def evaluateRandomly(encoder, decoder, n=10):
 encoder1 = EncoderRNN(input_lang.n_words, hidden_size).to(device)
 attn_decoder1 = AttnDecoderRNN(hidden_size, output_lang.n_words, dropout_p=0.1).to(device)
 
-# trainIters(encoder1, attn_decoder1, 75000, print_every=5000)
-trainIters(encoder1, attn_decoder1, 1, print_every=5000) # yf225 TODO: DEBUG
+trainIters(encoder1, attn_decoder1, 75000, print_every=5000)
 
 ######################################################################
 #

Original file line number	Diff line number	Diff line change
`@@ -281,8 +281,7 @@ def test(model, epoch):`
`281`	`281`	`#`
`282`	`282`
`283`	`283`	`log_interval = 20`
`284`		`-# for epoch in range(1, 41): # yf225 TODO: change this back`
`285`		`-for epoch in range(1, 2):`
	`284`	`+for epoch in range(1, 41):`
`286`	`285`	`if epoch == 31:`
`287`	`286`	`print("First round of training complete. Setting learn rate to 0.001.")`
`288`	`287`	`scheduler.step()`
Original file line number	Diff line number	Diff line change
`@@ -770,8 +770,7 @@ def evaluateRandomly(encoder, decoder, n=10):`
`770`	`770`	`encoder1 = EncoderRNN(input_lang.n_words, hidden_size).to(device)`
`771`	`771`	`attn_decoder1 = AttnDecoderRNN(hidden_size, output_lang.n_words, dropout_p=0.1).to(device)`
`772`	`772`
`773`		`-# trainIters(encoder1, attn_decoder1, 75000, print_every=5000)`
`774`		`-trainIters(encoder1, attn_decoder1, 1, print_every=5000) # yf225 TODO: DEBUG`
	`773`	`+trainIters(encoder1, attn_decoder1, 75000, print_every=5000)`
`775`	`774`
`776`	`775`	`######################################################################`
`777`	`776`	`#`