From 5e56ba19640f65ce29011ec257f3304be00da5de Mon Sep 17 00:00:00 2001 From: Varuna Jayasiri Date: Fri, 29 Oct 2021 09:32:09 +0530 Subject: [PATCH] update docs --- docs/activations/index.html | 1 - docs/activations/swish.html | 1 - docs/adaptive_computation/index.html | 1 - docs/adaptive_computation/parity.html | 1 - .../ponder_net/experiment.html | 1 - .../ponder_net/index.html | 1 - .../ponder_net/readme.html | 1 - docs/adaptive_computation/readme.html | 1 - docs/capsule_networks/index.html | 1 - docs/capsule_networks/mnist.html | 1 - docs/capsule_networks/readme.html | 1 - docs/cfr/analytics.html | 1 - docs/cfr/index.html | 1 - docs/cfr/infoset_saver.html | 1 - docs/cfr/kuhn/index.html | 1 - docs/conv_mixer/experiment.html | 1 - docs/conv_mixer/index.html | 1 - docs/conv_mixer/readme.html | 1 - docs/diffusion/ddpm/evaluate.html | 1 - docs/diffusion/ddpm/experiment.html | 1 - docs/diffusion/ddpm/index.html | 1 - docs/diffusion/ddpm/readme.html | 1 - docs/diffusion/ddpm/unet.html | 1 - docs/diffusion/ddpm/utils.html | 1 - docs/diffusion/index.html | 1 - docs/distillation/index.html | 1 - docs/distillation/large.html | 1 - docs/distillation/readme.html | 1 - docs/distillation/small.html | 1 - docs/experiments/cifar10.html | 1 - docs/experiments/index.html | 1 - docs/experiments/mnist.html | 1 - docs/experiments/nlp_autoregression.html | 1 - docs/experiments/nlp_classification.html | 216 +++--- docs/gan/cycle_gan/index.html | 636 +++++++++--------- docs/gan/cycle_gan/readme.html | 1 - docs/gan/dcgan/index.html | 1 - docs/gan/dcgan/readme.html | 1 - docs/gan/index.html | 1 - docs/gan/original/experiment.html | 1 - docs/gan/original/index.html | 1 - docs/gan/original/readme.html | 1 - docs/gan/stylegan/experiment.html | 7 +- docs/gan/stylegan/index.html | 1 - docs/gan/stylegan/readme.html | 1 - docs/gan/wasserstein/experiment.html | 1 - .../gradient_penalty/experiment.html | 1 - .../wasserstein/gradient_penalty/index.html | 1 - .../wasserstein/gradient_penalty/readme.html | 1 - docs/gan/wasserstein/index.html | 1 - docs/gan/wasserstein/readme.html | 1 - docs/graphs/gat/experiment.html | 1 - docs/graphs/gat/index.html | 1 - docs/graphs/gat/readme.html | 1 - docs/graphs/gatv2/experiment.html | 1 - docs/graphs/gatv2/index.html | 1 - docs/graphs/gatv2/readme.html | 1 - docs/graphs/index.html | 1 - docs/hypernetworks/experiment.html | 1 - docs/hypernetworks/hyper_lstm.html | 1 - docs/hypernetworks/index.html | 1 - docs/index.html | 1 - docs/lstm/index.html | 1 - .../batch_channel_norm/index.html | 1 - docs/normalization/batch_norm/cifar10.html | 1 - docs/normalization/batch_norm/index.html | 1 - docs/normalization/batch_norm/mnist.html | 1 - docs/normalization/batch_norm/readme.html | 1 - docs/normalization/group_norm/experiment.html | 1 - docs/normalization/group_norm/index.html | 1 - docs/normalization/group_norm/readme.html | 1 - docs/normalization/index.html | 1 - .../instance_norm/experiment.html | 1 - docs/normalization/instance_norm/index.html | 1 - docs/normalization/instance_norm/readme.html | 1 - docs/normalization/layer_norm/index.html | 1 - docs/normalization/layer_norm/readme.html | 1 - .../weight_standardization/conv2d.html | 1 - .../weight_standardization/experiment.html | 1 - .../weight_standardization/index.html | 1 - .../weight_standardization/readme.html | 1 - docs/optimizers/ada_belief.html | 1 - docs/optimizers/adam.html | 1 - docs/optimizers/adam_warmup.html | 1 - docs/optimizers/adam_warmup_cosine_decay.html | 1 - docs/optimizers/amsgrad.html | 1 - docs/optimizers/configs.html | 1 - docs/optimizers/index.html | 1 - docs/optimizers/mnist_experiment.html | 1 - docs/optimizers/noam.html | 1 - docs/optimizers/performance_test.html | 1 - docs/optimizers/radam.html | 1 - docs/optimizers/readme.html | 1 - docs/recurrent_highway_networks/index.html | 1 - docs/resnet/experiment.html | 1 - docs/resnet/index.html | 1 - docs/resnet/readme.html | 1 - docs/rl/dqn/experiment.html | 1 - docs/rl/dqn/index.html | 1 - docs/rl/dqn/model.html | 1 - docs/rl/dqn/readme.html | 1 - docs/rl/dqn/replay_buffer.html | 1 - docs/rl/game.html | 1 - docs/rl/index.html | 1 - docs/rl/ppo/experiment.html | 1 - docs/rl/ppo/gae.html | 1 - docs/rl/ppo/index.html | 1 - docs/rl/ppo/readme.html | 1 - docs/sitemap.xml | 40 +- docs/sketch_rnn/index.html | 1 - docs/transformers/aft/experiment.html | 1 - docs/transformers/aft/index.html | 1 - docs/transformers/aft/readme.html | 1 - docs/transformers/alibi/experiment.html | 1 - docs/transformers/alibi/index.html | 1 - .../basic/autoregressive_experiment.html | 1 - docs/transformers/basic/index.html | 1 - docs/transformers/compressive/experiment.html | 1 - docs/transformers/compressive/index.html | 1 - docs/transformers/compressive/readme.html | 1 - docs/transformers/configs.html | 1 - .../transformers/fast_weights/experiment.html | 1 - docs/transformers/fast_weights/index.html | 1 - docs/transformers/fast_weights/readme.html | 1 - .../transformers/fast_weights/token_wise.html | 1 - docs/transformers/feed_forward.html | 1 - docs/transformers/feedback/experiment.html | 1 - docs/transformers/feedback/index.html | 1 - docs/transformers/feedback/readme.html | 1 - docs/transformers/fnet/experiment.html | 1 - docs/transformers/fnet/index.html | 1 - docs/transformers/fnet/readme.html | 1 - .../transformers/glu_variants/experiment.html | 1 - docs/transformers/glu_variants/index.html | 1 - docs/transformers/glu_variants/simple.html | 1 - docs/transformers/gmlp/experiment.html | 1 - docs/transformers/gmlp/index.html | 1 - docs/transformers/gmlp/readme.html | 1 - docs/transformers/gpt/index.html | 1 - docs/transformers/index.html | 1 - docs/transformers/knn/build_index.html | 1 - docs/transformers/knn/eval_knn.html | 1 - docs/transformers/knn/index.html | 1 - docs/transformers/knn/train_model.html | 1 - docs/transformers/label_smoothing_loss.html | 1 - docs/transformers/mha.html | 1 - docs/transformers/mlm/experiment.html | 1 - docs/transformers/mlm/index.html | 1 - docs/transformers/mlm/readme.html | 1 - docs/transformers/mlp_mixer/experiment.html | 1 - docs/transformers/mlp_mixer/index.html | 1 - docs/transformers/mlp_mixer/readme.html | 1 - docs/transformers/models.html | 1 - docs/transformers/positional_encoding.html | 1 - docs/transformers/primer_ez/efficient.html | 1 - docs/transformers/primer_ez/experiment.html | 1 - docs/transformers/primer_ez/index.html | 1 - docs/transformers/primer_ez/readme.html | 1 - docs/transformers/primer_ez/variations.html | 1 - docs/transformers/relative_mha.html | 1 - docs/transformers/switch/experiment.html | 1 - docs/transformers/switch/index.html | 1 - docs/transformers/switch/readme.html | 1 - docs/transformers/utils.html | 1 - docs/transformers/vit/experiment.html | 1 - docs/transformers/vit/index.html | 1 - docs/transformers/vit/readme.html | 1 - docs/transformers/xl/experiment.html | 1 - docs/transformers/xl/index.html | 1 - docs/transformers/xl/readme.html | 1 - docs/transformers/xl/relative_mha.html | 1 - docs/uncertainty/evidence/experiment.html | 1 - docs/uncertainty/evidence/index.html | 1 - docs/uncertainty/evidence/readme.html | 1 - docs/uncertainty/index.html | 1 - docs/uncertainty/readme.html | 1 - docs/utils/index.html | 1 - docs/utils/tokenizer.html | 1 - 178 files changed, 449 insertions(+), 624 deletions(-) diff --git a/docs/activations/index.html b/docs/activations/index.html index 47bffbdd..6f9e2821 100644 --- a/docs/activations/index.html +++ b/docs/activations/index.html @@ -84,7 +84,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/activations/swish.html b/docs/activations/swish.html index a53db223..e1b3984c 100644 --- a/docs/activations/swish.html +++ b/docs/activations/swish.html @@ -123,7 +123,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/index.html b/docs/adaptive_computation/index.html index 798b23e4..718fc2dc 100644 --- a/docs/adaptive_computation/index.html +++ b/docs/adaptive_computation/index.html @@ -88,7 +88,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/parity.html b/docs/adaptive_computation/parity.html index 9e9119b3..925c31d7 100644 --- a/docs/adaptive_computation/parity.html +++ b/docs/adaptive_computation/parity.html @@ -236,7 +236,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/ponder_net/experiment.html b/docs/adaptive_computation/ponder_net/experiment.html index 372c80c8..3ff6165a 100644 --- a/docs/adaptive_computation/ponder_net/experiment.html +++ b/docs/adaptive_computation/ponder_net/experiment.html @@ -599,7 +599,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/ponder_net/index.html b/docs/adaptive_computation/ponder_net/index.html index 5ac045dc..6c8d1813 100644 --- a/docs/adaptive_computation/ponder_net/index.html +++ b/docs/adaptive_computation/ponder_net/index.html @@ -765,7 +765,6 @@ s is odd and false otherwise.

function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/ponder_net/readme.html b/docs/adaptive_computation/ponder_net/readme.html index 07e4c924..e242a77f 100644 --- a/docs/adaptive_computation/ponder_net/readme.html +++ b/docs/adaptive_computation/ponder_net/readme.html @@ -88,7 +88,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/adaptive_computation/readme.html b/docs/adaptive_computation/readme.html index 8268a4a6..52f739d0 100644 --- a/docs/adaptive_computation/readme.html +++ b/docs/adaptive_computation/readme.html @@ -88,7 +88,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/capsule_networks/index.html b/docs/capsule_networks/index.html index a3a535e3..3d0df89a 100644 --- a/docs/capsule_networks/index.html +++ b/docs/capsule_networks/index.html @@ -449,7 +449,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/capsule_networks/mnist.html b/docs/capsule_networks/mnist.html index c24ff3f6..6bd85274 100644 --- a/docs/capsule_networks/mnist.html +++ b/docs/capsule_networks/mnist.html @@ -559,7 +559,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/capsule_networks/readme.html b/docs/capsule_networks/readme.html index 59f56294..4ba2c9df 100644 --- a/docs/capsule_networks/readme.html +++ b/docs/capsule_networks/readme.html @@ -92,7 +92,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/cfr/analytics.html b/docs/cfr/analytics.html index 32b645c3..818b1e63 100644 --- a/docs/cfr/analytics.html +++ b/docs/cfr/analytics.html @@ -165,7 +165,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/cfr/index.html b/docs/cfr/index.html index 3a1ddeb0..b095575e 100644 --- a/docs/cfr/index.html +++ b/docs/cfr/index.html @@ -1372,7 +1372,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/cfr/infoset_saver.html b/docs/cfr/infoset_saver.html index 8d589755..0b34e2eb 100644 --- a/docs/cfr/infoset_saver.html +++ b/docs/cfr/infoset_saver.html @@ -146,7 +146,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/cfr/kuhn/index.html b/docs/cfr/kuhn/index.html index 1a26a86e..1104bfc8 100644 --- a/docs/cfr/kuhn/index.html +++ b/docs/cfr/kuhn/index.html @@ -846,7 +846,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/conv_mixer/experiment.html b/docs/conv_mixer/experiment.html index e1126261..f2fdc0f3 100644 --- a/docs/conv_mixer/experiment.html +++ b/docs/conv_mixer/experiment.html @@ -338,7 +338,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/conv_mixer/index.html b/docs/conv_mixer/index.html index e646a809..bcb01fae 100644 --- a/docs/conv_mixer/index.html +++ b/docs/conv_mixer/index.html @@ -686,7 +686,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/conv_mixer/readme.html b/docs/conv_mixer/readme.html index d6a50371..47aed1fc 100644 --- a/docs/conv_mixer/readme.html +++ b/docs/conv_mixer/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/evaluate.html b/docs/diffusion/ddpm/evaluate.html index 5f759a45..c25ad829 100644 --- a/docs/diffusion/ddpm/evaluate.html +++ b/docs/diffusion/ddpm/evaluate.html @@ -1354,7 +1354,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/experiment.html b/docs/diffusion/ddpm/experiment.html index b7d9a09f..0f9b88e5 100644 --- a/docs/diffusion/ddpm/experiment.html +++ b/docs/diffusion/ddpm/experiment.html @@ -946,7 +946,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/index.html b/docs/diffusion/ddpm/index.html index 0e33c2a8..3680db5d 100644 --- a/docs/diffusion/ddpm/index.html +++ b/docs/diffusion/ddpm/index.html @@ -845,7 +845,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/readme.html b/docs/diffusion/ddpm/readme.html index 8c637386..568c4d2e 100644 --- a/docs/diffusion/ddpm/readme.html +++ b/docs/diffusion/ddpm/readme.html @@ -90,7 +90,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/unet.html b/docs/diffusion/ddpm/unet.html index 53c06fb8..db279241 100644 --- a/docs/diffusion/ddpm/unet.html +++ b/docs/diffusion/ddpm/unet.html @@ -1407,7 +1407,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/ddpm/utils.html b/docs/diffusion/ddpm/utils.html index 041ab383..b2bc2224 100644 --- a/docs/diffusion/ddpm/utils.html +++ b/docs/diffusion/ddpm/utils.html @@ -110,7 +110,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/diffusion/index.html b/docs/diffusion/index.html index bdef2c14..61736161 100644 --- a/docs/diffusion/index.html +++ b/docs/diffusion/index.html @@ -86,7 +86,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/distillation/index.html b/docs/distillation/index.html index 7ad42a71..db2cbfe4 100644 --- a/docs/distillation/index.html +++ b/docs/distillation/index.html @@ -740,7 +740,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/distillation/large.html b/docs/distillation/large.html index 3acc0035..6ce89365 100644 --- a/docs/distillation/large.html +++ b/docs/distillation/large.html @@ -351,7 +351,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/distillation/readme.html b/docs/distillation/readme.html index da4d6c81..39f785bc 100644 --- a/docs/distillation/readme.html +++ b/docs/distillation/readme.html @@ -90,7 +90,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/distillation/small.html b/docs/distillation/small.html index f252465e..238fad85 100644 --- a/docs/distillation/small.html +++ b/docs/distillation/small.html @@ -338,7 +338,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/experiments/cifar10.html b/docs/experiments/cifar10.html index d5b76ad5..edb811d8 100644 --- a/docs/experiments/cifar10.html +++ b/docs/experiments/cifar10.html @@ -403,7 +403,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/experiments/index.html b/docs/experiments/index.html index 7afaf1be..1187dc77 100644 --- a/docs/experiments/index.html +++ b/docs/experiments/index.html @@ -73,7 +73,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/experiments/mnist.html b/docs/experiments/mnist.html index 9a3284a7..d0ce5731 100644 --- a/docs/experiments/mnist.html +++ b/docs/experiments/mnist.html @@ -440,7 +440,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/experiments/nlp_autoregression.html b/docs/experiments/nlp_autoregression.html index 1fa02cb2..fe824990 100644 --- a/docs/experiments/nlp_autoregression.html +++ b/docs/experiments/nlp_autoregression.html @@ -1042,7 +1042,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/experiments/nlp_classification.html b/docs/experiments/nlp_classification.html index c9a5b61a..917dcda1 100644 --- a/docs/experiments/nlp_classification.html +++ b/docs/experiments/nlp_classification.html @@ -79,15 +79,16 @@ 15import torchtext 16from torch import nn 17from torch.utils.data import DataLoader -18from torchtext.vocab import Vocab -19 -20from labml import lab, tracker, monit -21from labml.configs import option -22from labml_helpers.device import DeviceConfigs -23from labml_helpers.metrics.accuracy import Accuracy -24from labml_helpers.module import Module -25from labml_helpers.train_valid import TrainValidConfigs, hook_model_outputs, BatchIndex -26from labml_nn.optimizers.configs import OptimizerConfigs +18import torchtext.vocab +19from torchtext.vocab import Vocab +20 +21from labml import lab, tracker, monit +22from labml.configs import option +23from labml_helpers.device import DeviceConfigs +24from labml_helpers.metrics.accuracy import Accuracy +25from labml_helpers.module import Module +26from labml_helpers.train_valid import TrainValidConfigs, hook_model_outputs, BatchIndex +27from labml_nn.optimizers.configs import OptimizerConfigs
@@ -101,7 +102,7 @@
- 
29class NLPClassificationConfigs(TrainValidConfigs):
+ 
30class NLPClassificationConfigs(TrainValidConfigs):
@@ -113,7 +114,7 @@
- 
40    optimizer: torch.optim.Adam
+ 
41    optimizer: torch.optim.Adam
@@ -125,7 +126,7 @@
- 
42    device: torch.device = DeviceConfigs()
+ 
43    device: torch.device = DeviceConfigs()
@@ -137,7 +138,7 @@
- 
45    model: Module
+ 
46    model: Module
@@ -149,7 +150,7 @@
- 
47    batch_size: int = 16
+ 
48    batch_size: int = 16
@@ -161,7 +162,7 @@
- 
49    seq_len: int = 512
+ 
50    seq_len: int = 512
@@ -173,7 +174,7 @@
- 
51    vocab: Vocab = 'ag_news'
+ 
52    vocab: Vocab = 'ag_news'
@@ -185,7 +186,7 @@
- 
53    n_tokens: int
+ 
54    n_tokens: int
@@ -197,7 +198,7 @@
- 
55    n_classes: int = 'ag_news'
+ 
56    n_classes: int = 'ag_news'
@@ -209,7 +210,7 @@
- 
57    tokenizer: Callable = 'character'
+ 
58    tokenizer: Callable = 'character'
@@ -221,7 +222,7 @@
- 
60    is_save_models = True
+ 
61    is_save_models = True
@@ -233,7 +234,7 @@
- 
63    loss_func = nn.CrossEntropyLoss()
+ 
64    loss_func = nn.CrossEntropyLoss()
@@ -245,7 +246,7 @@
- 
65    accuracy = Accuracy()
+ 
66    accuracy = Accuracy()
@@ -257,7 +258,7 @@
- 
67    d_model: int = 512
+ 
68    d_model: int = 512
@@ -269,7 +270,7 @@
- 
69    grad_norm_clip: float = 1.0
+ 
70    grad_norm_clip: float = 1.0
@@ -281,7 +282,7 @@
- 
72    train_loader: DataLoader = 'ag_news'
+ 
73    train_loader: DataLoader = 'ag_news'
@@ -293,7 +294,7 @@
- 
74    valid_loader: DataLoader = 'ag_news'
+ 
75    valid_loader: DataLoader = 'ag_news'
@@ -305,7 +306,7 @@
- 
76    def init(self):
+ 
77    def init(self):
@@ -317,8 +318,8 @@
- 
81        tracker.set_scalar("accuracy.*", True)
-82        tracker.set_scalar("loss.*", True)
+ 
82        tracker.set_scalar("accuracy.*", True)
+83        tracker.set_scalar("loss.*", True)
@@ -330,7 +331,7 @@
- 
84        hook_model_outputs(self.mode, self.model, 'model')
+ 
85        hook_model_outputs(self.mode, self.model, 'model')
@@ -342,7 +343,7 @@
- 
89        self.state_modules = [self.accuracy]
+ 
90        self.state_modules = [self.accuracy]
@@ -354,7 +355,7 @@
- 
91    def step(self, batch: any, batch_idx: BatchIndex):
+ 
92    def step(self, batch: any, batch_idx: BatchIndex):
@@ -366,7 +367,7 @@
- 
97        data, target = batch[0].to(self.device), batch[1].to(self.device)
+ 
98        data, target = batch[0].to(self.device), batch[1].to(self.device)
@@ -378,8 +379,8 @@
- 
100        if self.mode.is_train:
-101            tracker.add_global_step(data.shape[1])
+ 
101        if self.mode.is_train:
+102            tracker.add_global_step(data.shape[1])
@@ -391,7 +392,7 @@
- 
104        with self.mode.update(is_log_activations=batch_idx.is_last):
+ 
105        with self.mode.update(is_log_activations=batch_idx.is_last):
@@ -403,7 +404,7 @@
- 
108            output, *_ = self.model(data)
+ 
109            output, *_ = self.model(data)
@@ -415,8 +416,8 @@
- 
111        loss = self.loss_func(output, target)
-112        tracker.add("loss.", loss)
+ 
112        loss = self.loss_func(output, target)
+113        tracker.add("loss.", loss)
@@ -428,8 +429,8 @@
- 
115        self.accuracy(output, target)
-116        self.accuracy.track()
+ 
116        self.accuracy(output, target)
+117        self.accuracy.track()
@@ -441,7 +442,7 @@
- 
119        if self.mode.is_train:
+ 
120        if self.mode.is_train:
@@ -453,7 +454,7 @@
- 
121            loss.backward()
+ 
122            loss.backward()
@@ -465,7 +466,7 @@
- 
123            torch.nn.utils.clip_grad_norm_(self.model.parameters(), max_norm=self.grad_norm_clip)
+ 
124            torch.nn.utils.clip_grad_norm_(self.model.parameters(), max_norm=self.grad_norm_clip)
@@ -477,7 +478,7 @@
- 
125            self.optimizer.step()
+ 
126            self.optimizer.step()
@@ -489,8 +490,8 @@
- 
127            if batch_idx.is_last:
-128                tracker.add('model', self.model)
+ 
128            if batch_idx.is_last:
+129                tracker.add('model', self.model)
@@ -502,7 +503,7 @@
- 
130            self.optimizer.zero_grad()
+ 
131            self.optimizer.zero_grad()
@@ -514,7 +515,7 @@
- 
133        tracker.save()
+ 
134        tracker.save()
@@ -526,8 +527,8 @@
- 
136@option(NLPClassificationConfigs.optimizer)
-137def _optimizer(c: NLPClassificationConfigs):
+ 
137@option(NLPClassificationConfigs.optimizer)
+138def _optimizer(c: NLPClassificationConfigs):
@@ -538,12 +539,12 @@
- 
142    optimizer = OptimizerConfigs()
-143    optimizer.parameters = c.model.parameters()
-144    optimizer.optimizer = 'Adam'
-145    optimizer.d_model = c.d_model
-146
-147    return optimizer
+ 
143    optimizer = OptimizerConfigs()
+144    optimizer.parameters = c.model.parameters()
+145    optimizer.optimizer = 'Adam'
+146    optimizer.d_model = c.d_model
+147
+148    return optimizer
@@ -558,8 +559,8 @@
- 
150@option(NLPClassificationConfigs.tokenizer)
-151def basic_english():
+ 
151@option(NLPClassificationConfigs.tokenizer)
+152def basic_english():
@@ -570,8 +571,8 @@
- 
165    from torchtext.data import get_tokenizer
-166    return get_tokenizer('basic_english')
+ 
166    from torchtext.data import get_tokenizer
+167    return get_tokenizer('basic_english')
@@ -583,7 +584,7 @@
- 
169def character_tokenizer(x: str):
+ 
170def character_tokenizer(x: str):
@@ -594,7 +595,7 @@
- 
173    return list(x)
+ 
174    return list(x)
@@ -606,8 +607,8 @@
- 
176@option(NLPClassificationConfigs.tokenizer)
-177def character():
+ 
177@option(NLPClassificationConfigs.tokenizer)
+178def character():
@@ -618,7 +619,7 @@
- 
181    return character_tokenizer
+ 
182    return character_tokenizer
@@ -630,8 +631,8 @@
- 
184@option(NLPClassificationConfigs.n_tokens)
-185def _n_tokens(c: NLPClassificationConfigs):
+ 
185@option(NLPClassificationConfigs.n_tokens)
+186def _n_tokens(c: NLPClassificationConfigs):
@@ -642,7 +643,7 @@
- 
189    return len(c.vocab) + 2
+ 
190    return len(c.vocab) + 2
@@ -654,7 +655,7 @@
- 
192class CollateFunc:
+ 
193class CollateFunc:
@@ -677,7 +678,7 @@
- 
197    def __init__(self, tokenizer, vocab: Vocab, seq_len: int, padding_token: int, classifier_token: int):
+ 
198    def __init__(self, tokenizer, vocab: Vocab, seq_len: int, padding_token: int, classifier_token: int):
@@ -688,11 +689,11 @@
- 
205        self.classifier_token = classifier_token
-206        self.padding_token = padding_token
-207        self.seq_len = seq_len
-208        self.vocab = vocab
-209        self.tokenizer = tokenizer
+ 
206        self.classifier_token = classifier_token
+207        self.padding_token = padding_token
+208        self.seq_len = seq_len
+209        self.vocab = vocab
+210        self.tokenizer = tokenizer
@@ -706,7 +707,7 @@
- 
211    def __call__(self, batch):
+ 
212    def __call__(self, batch):
@@ -719,7 +720,7 @@
- 
217        data = torch.full((self.seq_len, len(batch)), self.padding_token, dtype=torch.long)
+ 
218        data = torch.full((self.seq_len, len(batch)), self.padding_token, dtype=torch.long)
@@ -731,7 +732,7 @@
- 
219        labels = torch.zeros(len(batch), dtype=torch.long)
+ 
220        labels = torch.zeros(len(batch), dtype=torch.long)
@@ -743,7 +744,7 @@
- 
222        for (i, (_label, _text)) in enumerate(batch):
+ 
223        for (i, (_label, _text)) in enumerate(batch):
@@ -755,7 +756,7 @@
- 
224            labels[i] = int(_label) - 1
+ 
225            labels[i] = int(_label) - 1
@@ -767,7 +768,7 @@
- 
226            _text = [self.vocab[token] for token in self.tokenizer(_text)]
+ 
227            _text = [self.vocab[token] for token in self.tokenizer(_text)]
@@ -780,7 +781,7 @@
- 
228            _text = _text[:self.seq_len]
+ 
229            _text = _text[:self.seq_len]
@@ -792,7 +793,7 @@
- 
230            data[:len(_text), i] = data.new_tensor(_text)
+ 
231            data[:len(_text), i] = data.new_tensor(_text)
@@ -805,7 +806,7 @@
- 
233        data[-1, :] = self.classifier_token
+ 
234        data[-1, :] = self.classifier_token
@@ -817,7 +818,7 @@
- 
236        return data, labels
+ 
237        return data, labels
@@ -834,11 +835,11 @@
- 
239@option([NLPClassificationConfigs.n_classes,
-240         NLPClassificationConfigs.vocab,
-241         NLPClassificationConfigs.train_loader,
-242         NLPClassificationConfigs.valid_loader])
-243def ag_news(c: NLPClassificationConfigs):
+ 
240@option([NLPClassificationConfigs.n_classes,
+241         NLPClassificationConfigs.vocab,
+242         NLPClassificationConfigs.train_loader,
+243         NLPClassificationConfigs.valid_loader])
+244def ag_news(c: NLPClassificationConfigs):
@@ -850,7 +851,7 @@
- 
252    train, valid = torchtext.datasets.AG_NEWS(root=str(lab.get_data_path() / 'ag_news'), split=('train', 'test'))
+ 
253    train, valid = torchtext.datasets.AG_NEWS(root=str(lab.get_data_path() / 'ag_news'), split=('train', 'test'))
@@ -862,8 +863,8 @@
- 
255    with monit.section('Load data'):
-256        from labml_nn.utils import MapStyleDataset
+ 
256    with monit.section('Load data'):
+257        from labml_nn.utils import MapStyleDataset
@@ -875,7 +876,7 @@
- 
259        train, valid = MapStyleDataset(train), MapStyleDataset(valid)
+ 
260        train, valid = MapStyleDataset(train), MapStyleDataset(valid)
@@ -887,7 +888,7 @@
- 
262    tokenizer = c.tokenizer
+ 
263    tokenizer = c.tokenizer
@@ -899,7 +900,7 @@
- 
265    counter = Counter()
+ 
266    counter = Counter()
@@ -911,8 +912,8 @@
- 
267    for (label, line) in train:
-268        counter.update(tokenizer(line))
+ 
268    for (label, line) in train:
+269        counter.update(tokenizer(line))
@@ -924,8 +925,8 @@
- 
270    for (label, line) in valid:
-271        counter.update(tokenizer(line))
+ 
271    for (label, line) in valid:
+272        counter.update(tokenizer(line))
@@ -937,7 +938,7 @@
- 
273    vocab = Vocab(counter, min_freq=1)
+ 
274    vocab = torchtext.vocab.vocab(counter, min_freq=1)
@@ -949,8 +950,8 @@
- 
276    train_loader = DataLoader(train, batch_size=c.batch_size, shuffle=True,
-277                              collate_fn=CollateFunc(tokenizer, vocab, c.seq_len, len(vocab), len(vocab) + 1))
+ 
277    train_loader = DataLoader(train, batch_size=c.batch_size, shuffle=True,
+278                              collate_fn=CollateFunc(tokenizer, vocab, c.seq_len, len(vocab), len(vocab) + 1))
@@ -962,8 +963,8 @@
- 
279    valid_loader = DataLoader(valid, batch_size=c.batch_size, shuffle=True,
-280                              collate_fn=CollateFunc(tokenizer, vocab, c.seq_len, len(vocab), len(vocab) + 1))
+ 
280    valid_loader = DataLoader(valid, batch_size=c.batch_size, shuffle=True,
+281                              collate_fn=CollateFunc(tokenizer, vocab, c.seq_len, len(vocab), len(vocab) + 1))
@@ -979,7 +980,7 @@
- 
283    return 4, vocab, train_loader, valid_loader
+ 
284    return 4, vocab, train_loader, valid_loader
@@ -992,7 +993,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/cycle_gan/index.html b/docs/gan/cycle_gan/index.html index 9ebc9fc7..4e8558a1 100644 --- a/docs/gan/cycle_gan/index.html +++ b/docs/gan/cycle_gan/index.html @@ -89,14 +89,15 @@ 43import torchvision.transforms as transforms 44from PIL import Image 45from torch.utils.data import DataLoader, Dataset -46from torchvision.utils import make_grid -47 -48from labml import lab, tracker, experiment, monit -49from labml.configs import BaseConfigs -50from labml.utils.download import download_file -51from labml.utils.pytorch import get_modules -52from labml_helpers.device import DeviceConfigs -53from labml_helpers.module import Module
+46from torchvision.transforms import InterpolationMode +47from torchvision.utils import make_grid +48 +49from labml import lab, tracker, experiment, monit +50from labml.configs import BaseConfigs +51from labml.utils.download import download_file +52from labml.utils.pytorch import get_modules +53from labml_helpers.device import DeviceConfigs +54from labml_helpers.module import Module
@@ -108,7 +109,7 @@
- 
56class GeneratorResNet(Module):
+ 
57class GeneratorResNet(Module):
@@ -119,8 +120,8 @@
- 
61    def __init__(self, input_channels: int, n_residual_blocks: int):
-62        super().__init__()
+ 
62    def __init__(self, input_channels: int, n_residual_blocks: int):
+63        super().__init__()
@@ -135,13 +136,13 @@
- 
70        out_features = 64
-71        layers = [
-72            nn.Conv2d(input_channels, out_features, kernel_size=7, padding=3, padding_mode='reflect'),
-73            nn.InstanceNorm2d(out_features),
-74            nn.ReLU(inplace=True),
-75        ]
-76        in_features = out_features
+ 
71        out_features = 64
+72        layers = [
+73            nn.Conv2d(input_channels, out_features, kernel_size=7, padding=3, padding_mode='reflect'),
+74            nn.InstanceNorm2d(out_features),
+75            nn.ReLU(inplace=True),
+76        ]
+77        in_features = out_features
@@ -153,14 +154,14 @@
- 
80        for _ in range(2):
-81            out_features *= 2
-82            layers += [
-83                nn.Conv2d(in_features, out_features, kernel_size=3, stride=2, padding=1),
-84                nn.InstanceNorm2d(out_features),
-85                nn.ReLU(inplace=True),
-86            ]
-87            in_features = out_features
+ 
81        for _ in range(2):
+82            out_features *= 2
+83            layers += [
+84                nn.Conv2d(in_features, out_features, kernel_size=3, stride=2, padding=1),
+85                nn.InstanceNorm2d(out_features),
+86                nn.ReLU(inplace=True),
+87            ]
+88            in_features = out_features
@@ -173,8 +174,8 @@
- 
91        for _ in range(n_residual_blocks):
-92            layers += [ResidualBlock(out_features)]
+ 
92        for _ in range(n_residual_blocks):
+93            layers += [ResidualBlock(out_features)]
@@ -186,15 +187,15 @@
- 
96        for _ in range(2):
-97            out_features //= 2
-98            layers += [
-99                nn.Upsample(scale_factor=2),
-100                nn.Conv2d(in_features, out_features, kernel_size=3, stride=1, padding=1),
-101                nn.InstanceNorm2d(out_features),
-102                nn.ReLU(inplace=True),
-103            ]
-104            in_features = out_features
+ 
97        for _ in range(2):
+98            out_features //= 2
+99            layers += [
+100                nn.Upsample(scale_factor=2),
+101                nn.Conv2d(in_features, out_features, kernel_size=3, stride=1, padding=1),
+102                nn.InstanceNorm2d(out_features),
+103                nn.ReLU(inplace=True),
+104            ]
+105            in_features = out_features
@@ -206,7 +207,7 @@
- 
107        layers += [nn.Conv2d(out_features, input_channels, 7, padding=3, padding_mode='reflect'), nn.Tanh()]
+ 
108        layers += [nn.Conv2d(out_features, input_channels, 7, padding=3, padding_mode='reflect'), nn.Tanh()]
@@ -218,7 +219,7 @@
- 
110        self.layers = nn.Sequential(*layers)
+ 
111        self.layers = nn.Sequential(*layers)
@@ -230,7 +231,7 @@
- 
113        self.apply(weights_init_normal)
+ 
114        self.apply(weights_init_normal)
@@ -241,8 +242,8 @@
- 
115    def forward(self, x):
-116        return self.layers(x)
+ 
116    def forward(self, x):
+117        return self.layers(x)
@@ -254,7 +255,7 @@
- 
119class ResidualBlock(Module):
+ 
120class ResidualBlock(Module):
@@ -265,16 +266,16 @@
- 
124    def __init__(self, in_features: int):
-125        super().__init__()
-126        self.block = nn.Sequential(
-127            nn.Conv2d(in_features, in_features, kernel_size=3, padding=1, padding_mode='reflect'),
-128            nn.InstanceNorm2d(in_features),
-129            nn.ReLU(inplace=True),
-130            nn.Conv2d(in_features, in_features, kernel_size=3, padding=1, padding_mode='reflect'),
-131            nn.InstanceNorm2d(in_features),
-132            nn.ReLU(inplace=True),
-133        )
+ 
125    def __init__(self, in_features: int):
+126        super().__init__()
+127        self.block = nn.Sequential(
+128            nn.Conv2d(in_features, in_features, kernel_size=3, padding=1, padding_mode='reflect'),
+129            nn.InstanceNorm2d(in_features),
+130            nn.ReLU(inplace=True),
+131            nn.Conv2d(in_features, in_features, kernel_size=3, padding=1, padding_mode='reflect'),
+132            nn.InstanceNorm2d(in_features),
+133            nn.ReLU(inplace=True),
+134        )
@@ -285,8 +286,8 @@
- 
135    def forward(self, x: torch.Tensor):
-136        return x + self.block(x)
+ 
136    def forward(self, x: torch.Tensor):
+137        return x + self.block(x)
@@ -298,7 +299,7 @@
- 
139class Discriminator(Module):
+ 
140class Discriminator(Module):
@@ -309,9 +310,9 @@
- 
144    def __init__(self, input_shape: Tuple[int, int, int]):
-145        super().__init__()
-146        channels, height, width = input_shape
+ 
145    def __init__(self, input_shape: Tuple[int, int, int]):
+146        super().__init__()
+147        channels, height, width = input_shape
@@ -323,9 +324,9 @@
- 
150        self.output_shape = (1, height // 2 ** 4, width // 2 ** 4)
-151
-152        self.layers = nn.Sequential(
+ 
151        self.output_shape = (1, height // 2 ** 4, width // 2 ** 4)
+152
+153        self.layers = nn.Sequential(
@@ -337,10 +338,10 @@
- 
154            DiscriminatorBlock(channels, 64, normalize=False),
-155            DiscriminatorBlock(64, 128),
-156            DiscriminatorBlock(128, 256),
-157            DiscriminatorBlock(256, 512),
+ 
155            DiscriminatorBlock(channels, 64, normalize=False),
+156            DiscriminatorBlock(64, 128),
+157            DiscriminatorBlock(128, 256),
+158            DiscriminatorBlock(256, 512),
@@ -352,9 +353,9 @@
- 
160            nn.ZeroPad2d((1, 0, 1, 0)),
-161            nn.Conv2d(512, 1, kernel_size=4, padding=1)
-162        )
+ 
161            nn.ZeroPad2d((1, 0, 1, 0)),
+162            nn.Conv2d(512, 1, kernel_size=4, padding=1)
+163        )
@@ -366,7 +367,7 @@
- 
165        self.apply(weights_init_normal)
+ 
166        self.apply(weights_init_normal)
@@ -377,8 +378,8 @@
- 
167    def forward(self, img):
-168        return self.layers(img)
+ 
168    def forward(self, img):
+169        return self.layers(img)
@@ -391,7 +392,7 @@
- 
171class DiscriminatorBlock(Module):
+ 
172class DiscriminatorBlock(Module):
@@ -402,13 +403,13 @@
- 
179    def __init__(self, in_filters: int, out_filters: int, normalize: bool = True):
-180        super().__init__()
-181        layers = [nn.Conv2d(in_filters, out_filters, kernel_size=4, stride=2, padding=1)]
-182        if normalize:
-183            layers.append(nn.InstanceNorm2d(out_filters))
-184        layers.append(nn.LeakyReLU(0.2, inplace=True))
-185        self.layers = nn.Sequential(*layers)
+ 
180    def __init__(self, in_filters: int, out_filters: int, normalize: bool = True):
+181        super().__init__()
+182        layers = [nn.Conv2d(in_filters, out_filters, kernel_size=4, stride=2, padding=1)]
+183        if normalize:
+184            layers.append(nn.InstanceNorm2d(out_filters))
+185        layers.append(nn.LeakyReLU(0.2, inplace=True))
+186        self.layers = nn.Sequential(*layers)
@@ -419,8 +420,8 @@
- 
187    def forward(self, x: torch.Tensor):
-188        return self.layers(x)
+ 
188    def forward(self, x: torch.Tensor):
+189        return self.layers(x)
@@ -432,7 +433,7 @@
- 
191def weights_init_normal(m):
+ 
192def weights_init_normal(m):
@@ -443,9 +444,9 @@
- 
195    classname = m.__class__.__name__
-196    if classname.find("Conv") != -1:
-197        torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
+ 
196    classname = m.__class__.__name__
+197    if classname.find("Conv") != -1:
+198        torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
@@ -457,7 +458,7 @@
- 
200def load_image(path: str):
+ 
201def load_image(path: str):
@@ -468,11 +469,11 @@
- 
204    image = Image.open(path)
-205    if image.mode != 'RGB':
-206        image = Image.new("RGB", image.size).paste(image)
-207
-208    return image
+ 
205    image = Image.open(path)
+206    if image.mode != 'RGB':
+207        image = Image.new("RGB", image.size).paste(image)
+208
+209    return image
@@ -484,7 +485,7 @@
- 
211class ImageDataset(Dataset):
+ 
212class ImageDataset(Dataset):
@@ -496,8 +497,8 @@
- 
216    @staticmethod
-217    def download(dataset_name: str):
+ 
217    @staticmethod
+218    def download(dataset_name: str):
@@ -509,7 +510,7 @@
- 
222        url = f'https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/{dataset_name}.zip'
+ 
223        url = f'https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/{dataset_name}.zip'
@@ -521,9 +522,9 @@
- 
224        root = lab.get_data_path() / 'cycle_gan'
-225        if not root.exists():
-226            root.mkdir(parents=True)
+ 
225        root = lab.get_data_path() / 'cycle_gan'
+226        if not root.exists():
+227            root.mkdir(parents=True)
@@ -535,7 +536,7 @@
- 
228        archive = root / f'{dataset_name}.zip'
+ 
229        archive = root / f'{dataset_name}.zip'
@@ -547,7 +548,7 @@
- 
230        download_file(url, archive)
+ 
231        download_file(url, archive)
@@ -559,8 +560,8 @@
- 
232        with zipfile.ZipFile(archive, 'r') as f:
-233            f.extractall(root)
+ 
233        with zipfile.ZipFile(archive, 'r') as f:
+234            f.extractall(root)
@@ -580,7 +581,7 @@
- 
235    def __init__(self, dataset_name: str, transforms_, mode: str):
+ 
236    def __init__(self, dataset_name: str, transforms_, mode: str):
@@ -592,7 +593,7 @@
- 
244        root = lab.get_data_path() / 'cycle_gan' / dataset_name
+ 
245        root = lab.get_data_path() / 'cycle_gan' / dataset_name
@@ -604,8 +605,8 @@
- 
246        if not root.exists():
-247            self.download(dataset_name)
+ 
247        if not root.exists():
+248            self.download(dataset_name)
@@ -617,7 +618,7 @@
- 
250        self.transform = transforms.Compose(transforms_)
+ 
251        self.transform = transforms.Compose(transforms_)
@@ -629,10 +630,10 @@
- 
253        path_a = root / f'{mode}A'
-254        path_b = root / f'{mode}B'
-255        self.files_a = sorted(str(f) for f in path_a.iterdir())
-256        self.files_b = sorted(str(f) for f in path_b.iterdir())
+ 
254        path_a = root / f'{mode}A'
+255        path_b = root / f'{mode}B'
+256        self.files_a = sorted(str(f) for f in path_a.iterdir())
+257        self.files_b = sorted(str(f) for f in path_b.iterdir())
@@ -643,7 +644,7 @@
- 
258    def __getitem__(self, index):
+ 
259    def __getitem__(self, index):
@@ -655,8 +656,8 @@
- 
262        return {"x": self.transform(load_image(self.files_a[index % len(self.files_a)])),
-263                "y": self.transform(load_image(self.files_b[index % len(self.files_b)]))}
+ 
263        return {"x": self.transform(load_image(self.files_a[index % len(self.files_a)])),
+264                "y": self.transform(load_image(self.files_b[index % len(self.files_b)]))}
@@ -667,7 +668,7 @@
- 
265    def __len__(self):
+ 
266    def __len__(self):
@@ -679,7 +680,7 @@
- 
267        return max(len(self.files_a), len(self.files_b))
+ 
268        return max(len(self.files_a), len(self.files_b))
@@ -694,7 +695,7 @@
- 
270class ReplayBuffer:
+ 
271class ReplayBuffer:
@@ -705,9 +706,9 @@
- 
284    def __init__(self, max_size: int = 50):
-285        self.max_size = max_size
-286        self.data = []
+ 
285    def __init__(self, max_size: int = 50):
+286        self.max_size = max_size
+287        self.data = []
@@ -719,7 +720,7 @@
- 
288    def push_and_pop(self, data: torch.Tensor):
+ 
289    def push_and_pop(self, data: torch.Tensor):
@@ -730,20 +731,20 @@
- 
290        data = data.detach()
-291        res = []
-292        for element in data:
-293            if len(self.data) < self.max_size:
-294                self.data.append(element)
-295                res.append(element)
-296            else:
-297                if random.uniform(0, 1) > 0.5:
-298                    i = random.randint(0, self.max_size - 1)
-299                    res.append(self.data[i].clone())
-300                    self.data[i] = element
-301                else:
-302                    res.append(element)
-303        return torch.stack(res)
+ 
291        data = data.detach()
+292        res = []
+293        for element in data:
+294            if len(self.data) < self.max_size:
+295                self.data.append(element)
+296                res.append(element)
+297            else:
+298                if random.uniform(0, 1) > 0.5:
+299                    i = random.randint(0, self.max_size - 1)
+300                    res.append(self.data[i].clone())
+301                    self.data[i] = element
+302                else:
+303                    res.append(element)
+304        return torch.stack(res)
@@ -755,7 +756,7 @@
- 
306class Configs(BaseConfigs):
+ 
307class Configs(BaseConfigs):
@@ -768,7 +769,7 @@
- 
310    device: torch.device = DeviceConfigs()
+ 
311    device: torch.device = DeviceConfigs()
@@ -780,15 +781,15 @@
- 
313    epochs: int = 200
-314    dataset_name: str = 'monet2photo'
-315    batch_size: int = 1
-316
-317    data_loader_workers = 8
-318
-319    learning_rate = 0.0002
-320    adam_betas = (0.5, 0.999)
-321    decay_start = 100
+ 
314    epochs: int = 200
+315    dataset_name: str = 'monet2photo'
+316    batch_size: int = 1
+317
+318    data_loader_workers = 8
+319
+320    learning_rate = 0.0002
+321    adam_betas = (0.5, 0.999)
+322    decay_start = 100
@@ -800,7 +801,7 @@
- 
325    gan_loss = torch.nn.MSELoss()
+ 
326    gan_loss = torch.nn.MSELoss()
@@ -812,8 +813,8 @@
- 
328    cycle_loss = torch.nn.L1Loss()
-329    identity_loss = torch.nn.L1Loss()
+ 
329    cycle_loss = torch.nn.L1Loss()
+330    identity_loss = torch.nn.L1Loss()
@@ -825,9 +826,9 @@
- 
332    img_height = 256
-333    img_width = 256
-334    img_channels = 3
+ 
333    img_height = 256
+334    img_width = 256
+335    img_channels = 3
@@ -839,7 +840,7 @@
- 
337    n_residual_blocks = 9
+ 
338    n_residual_blocks = 9
@@ -851,10 +852,10 @@
- 
340    cyclic_loss_coefficient = 10.0
-341    identity_loss_coefficient = 5.
-342
-343    sample_interval = 500
+ 
341    cyclic_loss_coefficient = 10.0
+342    identity_loss_coefficient = 5.
+343
+344    sample_interval = 500
@@ -866,10 +867,10 @@
- 
346    generator_xy: GeneratorResNet
-347    generator_yx: GeneratorResNet
-348    discriminator_x: Discriminator
-349    discriminator_y: Discriminator
+ 
347    generator_xy: GeneratorResNet
+348    generator_yx: GeneratorResNet
+349    discriminator_x: Discriminator
+350    discriminator_y: Discriminator
@@ -881,8 +882,8 @@
- 
352    generator_optimizer: torch.optim.Adam
-353    discriminator_optimizer: torch.optim.Adam
+ 
353    generator_optimizer: torch.optim.Adam
+354    discriminator_optimizer: torch.optim.Adam
@@ -894,8 +895,8 @@
- 
356    generator_lr_scheduler: torch.optim.lr_scheduler.LambdaLR
-357    discriminator_lr_scheduler: torch.optim.lr_scheduler.LambdaLR
+ 
357    generator_lr_scheduler: torch.optim.lr_scheduler.LambdaLR
+358    discriminator_lr_scheduler: torch.optim.lr_scheduler.LambdaLR
@@ -907,8 +908,8 @@
- 
360    dataloader: DataLoader
-361    valid_dataloader: DataLoader
+ 
361    dataloader: DataLoader
+362    valid_dataloader: DataLoader
@@ -920,7 +921,7 @@
- 
363    def sample_images(self, n: int):
+ 
364    def sample_images(self, n: int):
@@ -931,13 +932,13 @@
- 
365        batch = next(iter(self.valid_dataloader))
-366        self.generator_xy.eval()
-367        self.generator_yx.eval()
-368        with torch.no_grad():
-369            data_x, data_y = batch['x'].to(self.generator_xy.device), batch['y'].to(self.generator_yx.device)
-370            gen_y = self.generator_xy(data_x)
-371            gen_x = self.generator_yx(data_y)
+ 
366        batch = next(iter(self.valid_dataloader))
+367        self.generator_xy.eval()
+368        self.generator_yx.eval()
+369        with torch.no_grad():
+370            data_x, data_y = batch['x'].to(self.generator_xy.device), batch['y'].to(self.generator_yx.device)
+371            gen_y = self.generator_xy(data_x)
+372            gen_x = self.generator_yx(data_y)
@@ -949,10 +950,10 @@
- 
374            data_x = make_grid(data_x, nrow=5, normalize=True)
-375            data_y = make_grid(data_y, nrow=5, normalize=True)
-376            gen_x = make_grid(gen_x, nrow=5, normalize=True)
-377            gen_y = make_grid(gen_y, nrow=5, normalize=True)
+ 
375            data_x = make_grid(data_x, nrow=5, normalize=True)
+376            data_y = make_grid(data_y, nrow=5, normalize=True)
+377            gen_x = make_grid(gen_x, nrow=5, normalize=True)
+378            gen_y = make_grid(gen_y, nrow=5, normalize=True)
@@ -964,7 +965,7 @@
- 
380            image_grid = torch.cat((data_x, gen_y, data_y, gen_x), 1)
+ 
381            image_grid = torch.cat((data_x, gen_y, data_y, gen_x), 1)
@@ -976,7 +977,7 @@
- 
383        plot_image(image_grid)
+ 
384        plot_image(image_grid)
@@ -988,7 +989,7 @@
- 
385    def initialize(self):
+ 
386    def initialize(self):
@@ -999,7 +1000,7 @@
- 
389        input_shape = (self.img_channels, self.img_height, self.img_width)
+ 
390        input_shape = (self.img_channels, self.img_height, self.img_width)
@@ -1011,10 +1012,10 @@
- 
392        self.generator_xy = GeneratorResNet(self.img_channels, self.n_residual_blocks).to(self.device)
-393        self.generator_yx = GeneratorResNet(self.img_channels, self.n_residual_blocks).to(self.device)
-394        self.discriminator_x = Discriminator(input_shape).to(self.device)
-395        self.discriminator_y = Discriminator(input_shape).to(self.device)
+ 
393        self.generator_xy = GeneratorResNet(self.img_channels, self.n_residual_blocks).to(self.device)
+394        self.generator_yx = GeneratorResNet(self.img_channels, self.n_residual_blocks).to(self.device)
+395        self.discriminator_x = Discriminator(input_shape).to(self.device)
+396        self.discriminator_y = Discriminator(input_shape).to(self.device)
@@ -1026,12 +1027,12 @@
- 
398        self.generator_optimizer = torch.optim.Adam(
-399            itertools.chain(self.generator_xy.parameters(), self.generator_yx.parameters()),
-400            lr=self.learning_rate, betas=self.adam_betas)
-401        self.discriminator_optimizer = torch.optim.Adam(
-402            itertools.chain(self.discriminator_x.parameters(), self.discriminator_y.parameters()),
-403            lr=self.learning_rate, betas=self.adam_betas)
+ 
399        self.generator_optimizer = torch.optim.Adam(
+400            itertools.chain(self.generator_xy.parameters(), self.generator_yx.parameters()),
+401            lr=self.learning_rate, betas=self.adam_betas)
+402        self.discriminator_optimizer = torch.optim.Adam(
+403            itertools.chain(self.discriminator_x.parameters(), self.discriminator_y.parameters()),
+404            lr=self.learning_rate, betas=self.adam_betas)
@@ -1044,11 +1045,11 @@
- 
408        decay_epochs = self.epochs - self.decay_start
-409        self.generator_lr_scheduler = torch.optim.lr_scheduler.LambdaLR(
-410            self.generator_optimizer, lr_lambda=lambda e: 1.0 - max(0, e - self.decay_start) / decay_epochs)
-411        self.discriminator_lr_scheduler = torch.optim.lr_scheduler.LambdaLR(
-412            self.discriminator_optimizer, lr_lambda=lambda e: 1.0 - max(0, e - self.decay_start) / decay_epochs)
+ 
409        decay_epochs = self.epochs - self.decay_start
+410        self.generator_lr_scheduler = torch.optim.lr_scheduler.LambdaLR(
+411            self.generator_optimizer, lr_lambda=lambda e: 1.0 - max(0, e - self.decay_start) / decay_epochs)
+412        self.discriminator_lr_scheduler = torch.optim.lr_scheduler.LambdaLR(
+413            self.discriminator_optimizer, lr_lambda=lambda e: 1.0 - max(0, e - self.decay_start) / decay_epochs)
@@ -1060,13 +1061,13 @@
- 
415        transforms_ = [
-416            transforms.Resize(int(self.img_height * 1.12), Image.BICUBIC),
-417            transforms.RandomCrop((self.img_height, self.img_width)),
-418            transforms.RandomHorizontalFlip(),
-419            transforms.ToTensor(),
-420            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
-421        ]
+ 
416        transforms_ = [
+417            transforms.Resize(int(self.img_height * 1.12), InterpolationMode.BICUBIC),
+418            transforms.RandomCrop((self.img_height, self.img_width)),
+419            transforms.RandomHorizontalFlip(),
+420            transforms.ToTensor(),
+421            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
+422        ]
@@ -1078,12 +1079,12 @@
- 
424        self.dataloader = DataLoader(
-425            ImageDataset(self.dataset_name, transforms_, 'train'),
-426            batch_size=self.batch_size,
-427            shuffle=True,
-428            num_workers=self.data_loader_workers,
-429        )
+ 
425        self.dataloader = DataLoader(
+426            ImageDataset(self.dataset_name, transforms_, 'train'),
+427            batch_size=self.batch_size,
+428            shuffle=True,
+429            num_workers=self.data_loader_workers,
+430        )
@@ -1095,12 +1096,12 @@
- 
432        self.valid_dataloader = DataLoader(
-433            ImageDataset(self.dataset_name, transforms_, "test"),
-434            batch_size=5,
-435            shuffle=True,
-436            num_workers=self.data_loader_workers,
-437        )
+ 
433        self.valid_dataloader = DataLoader(
+434            ImageDataset(self.dataset_name, transforms_, "test"),
+435            batch_size=5,
+436            shuffle=True,
+437            num_workers=self.data_loader_workers,
+438        )
@@ -1126,7 +1127,7 @@
- 
439    def run(self):
+ 
440    def run(self):
@@ -1138,8 +1139,8 @@
- 
541        gen_x_buffer = ReplayBuffer()
-542        gen_y_buffer = ReplayBuffer()
+ 
542        gen_x_buffer = ReplayBuffer()
+543        gen_y_buffer = ReplayBuffer()
@@ -1151,7 +1152,7 @@
- 
545        for epoch in monit.loop(self.epochs):
+ 
546        for epoch in monit.loop(self.epochs):
@@ -1163,7 +1164,7 @@
- 
547            for i, batch in monit.enum('Train', self.dataloader):
+ 
548            for i, batch in monit.enum('Train', self.dataloader):
@@ -1175,7 +1176,7 @@
- 
549                data_x, data_y = batch['x'].to(self.device), batch['y'].to(self.device)
+ 
550                data_x, data_y = batch['x'].to(self.device), batch['y'].to(self.device)
@@ -1187,8 +1188,8 @@
- 
552                true_labels = torch.ones(data_x.size(0), *self.discriminator_x.output_shape,
-553                                         device=self.device, requires_grad=False)
+ 
553                true_labels = torch.ones(data_x.size(0), *self.discriminator_x.output_shape,
+554                                         device=self.device, requires_grad=False)
@@ -1200,8 +1201,8 @@
- 
555                false_labels = torch.zeros(data_x.size(0), *self.discriminator_x.output_shape,
-556                                           device=self.device, requires_grad=False)
+ 
556                false_labels = torch.zeros(data_x.size(0), *self.discriminator_x.output_shape,
+557                                           device=self.device, requires_grad=False)
@@ -1213,7 +1214,7 @@
- 
560                gen_x, gen_y = self.optimize_generators(data_x, data_y, true_labels)
+ 
561                gen_x, gen_y = self.optimize_generators(data_x, data_y, true_labels)
@@ -1225,9 +1226,9 @@
- 
563                self.optimize_discriminator(data_x, data_y,
-564                                            gen_x_buffer.push_and_pop(gen_x), gen_y_buffer.push_and_pop(gen_y),
-565                                            true_labels, false_labels)
+ 
564                self.optimize_discriminator(data_x, data_y,
+565                                            gen_x_buffer.push_and_pop(gen_x), gen_y_buffer.push_and_pop(gen_y),
+566                                            true_labels, false_labels)
@@ -1239,8 +1240,8 @@
- 
568                tracker.save()
-569                tracker.add_global_step(max(len(data_x), len(data_y)))
+ 
569                tracker.save()
+570                tracker.add_global_step(max(len(data_x), len(data_y)))
@@ -1252,8 +1253,8 @@
- 
572                batches_done = epoch * len(self.dataloader) + i
-573                if batches_done % self.sample_interval == 0:
+ 
573                batches_done = epoch * len(self.dataloader) + i
+574                if batches_done % self.sample_interval == 0:
@@ -1265,7 +1266,7 @@
- 
575                    experiment.save_checkpoint()
+ 
576                    experiment.save_checkpoint()
@@ -1277,7 +1278,7 @@
- 
577                    self.sample_images(batches_done)
+ 
578                    self.sample_images(batches_done)
@@ -1289,8 +1290,8 @@
- 
580            self.generator_lr_scheduler.step()
-581            self.discriminator_lr_scheduler.step()
+ 
581            self.generator_lr_scheduler.step()
+582            self.discriminator_lr_scheduler.step()
@@ -1302,7 +1303,7 @@
- 
583            tracker.new_line()
+ 
584            tracker.new_line()
@@ -1314,7 +1315,7 @@
- 
585    def optimize_generators(self, data_x: torch.Tensor, data_y: torch.Tensor, true_labels: torch.Tensor):
+ 
586    def optimize_generators(self, data_x: torch.Tensor, data_y: torch.Tensor, true_labels: torch.Tensor):
@@ -1326,8 +1327,8 @@
- 
591        self.generator_xy.train()
-592        self.generator_yx.train()
+ 
592        self.generator_xy.train()
+593        self.generator_yx.train()
@@ -1339,8 +1340,8 @@
- 
597        loss_identity = (self.identity_loss(self.generator_yx(data_x), data_x) +
-598                         self.identity_loss(self.generator_xy(data_y), data_y))
+ 
598        loss_identity = (self.identity_loss(self.generator_yx(data_x), data_x) +
+599                         self.identity_loss(self.generator_xy(data_y), data_y))
@@ -1352,8 +1353,8 @@
- 
601        gen_y = self.generator_xy(data_x)
-602        gen_x = self.generator_yx(data_y)
+ 
602        gen_y = self.generator_xy(data_x)
+603        gen_x = self.generator_yx(data_y)
@@ -1365,8 +1366,8 @@
- 
607        loss_gan = (self.gan_loss(self.discriminator_y(gen_y), true_labels) +
-608                    self.gan_loss(self.discriminator_x(gen_x), true_labels))
+ 
608        loss_gan = (self.gan_loss(self.discriminator_y(gen_y), true_labels) +
+609                    self.gan_loss(self.discriminator_x(gen_x), true_labels))
@@ -1378,8 +1379,8 @@
- 
615        loss_cycle = (self.cycle_loss(self.generator_yx(gen_y), data_x) +
-616                      self.cycle_loss(self.generator_xy(gen_x), data_y))
+ 
616        loss_cycle = (self.cycle_loss(self.generator_yx(gen_y), data_x) +
+617                      self.cycle_loss(self.generator_xy(gen_x), data_y))
@@ -1391,9 +1392,9 @@
- 
619        loss_generator = (loss_gan +
-620                          self.cyclic_loss_coefficient * loss_cycle +
-621                          self.identity_loss_coefficient * loss_identity)
+ 
620        loss_generator = (loss_gan +
+621                          self.cyclic_loss_coefficient * loss_cycle +
+622                          self.identity_loss_coefficient * loss_identity)
@@ -1405,9 +1406,9 @@
- 
624        self.generator_optimizer.zero_grad()
-625        loss_generator.backward()
-626        self.generator_optimizer.step()
+ 
625        self.generator_optimizer.zero_grad()
+626        loss_generator.backward()
+627        self.generator_optimizer.step()
@@ -1419,10 +1420,10 @@
- 
629        tracker.add({'loss.generator': loss_generator,
-630                     'loss.generator.cycle': loss_cycle,
-631                     'loss.generator.gan': loss_gan,
-632                     'loss.generator.identity': loss_identity})
+ 
630        tracker.add({'loss.generator': loss_generator,
+631                     'loss.generator.cycle': loss_cycle,
+632                     'loss.generator.gan': loss_gan,
+633                     'loss.generator.identity': loss_identity})
@@ -1434,7 +1435,7 @@
- 
635        return gen_x, gen_y
+ 
636        return gen_x, gen_y
@@ -1446,9 +1447,9 @@
- 
637    def optimize_discriminator(self, data_x: torch.Tensor, data_y: torch.Tensor,
-638                               gen_x: torch.Tensor, gen_y: torch.Tensor,
-639                               true_labels: torch.Tensor, false_labels: torch.Tensor):
+ 
638    def optimize_discriminator(self, data_x: torch.Tensor, data_y: torch.Tensor,
+639                               gen_x: torch.Tensor, gen_y: torch.Tensor,
+640                               true_labels: torch.Tensor, false_labels: torch.Tensor):
@@ -1461,10 +1462,10 @@
- 
652        loss_discriminator = (self.gan_loss(self.discriminator_x(data_x), true_labels) +
-653                              self.gan_loss(self.discriminator_x(gen_x), false_labels) +
-654                              self.gan_loss(self.discriminator_y(data_y), true_labels) +
-655                              self.gan_loss(self.discriminator_y(gen_y), false_labels))
+ 
653        loss_discriminator = (self.gan_loss(self.discriminator_x(data_x), true_labels) +
+654                              self.gan_loss(self.discriminator_x(gen_x), false_labels) +
+655                              self.gan_loss(self.discriminator_y(data_y), true_labels) +
+656                              self.gan_loss(self.discriminator_y(gen_y), false_labels))
@@ -1476,9 +1477,9 @@
- 
658        self.discriminator_optimizer.zero_grad()
-659        loss_discriminator.backward()
-660        self.discriminator_optimizer.step()
+ 
659        self.discriminator_optimizer.zero_grad()
+660        loss_discriminator.backward()
+661        self.discriminator_optimizer.step()
@@ -1490,7 +1491,7 @@
- 
663        tracker.add({'loss.discriminator': loss_discriminator})
+ 
664        tracker.add({'loss.discriminator': loss_discriminator})
@@ -1502,7 +1503,7 @@
- 
666def train():
+ 
667def train():
@@ -1514,7 +1515,7 @@
- 
671    conf = Configs()
+ 
672    conf = Configs()
@@ -1526,7 +1527,7 @@
- 
673    experiment.create(name='cycle_gan')
+ 
674    experiment.create(name='cycle_gan')
@@ -1539,8 +1540,8 @@
- 
676    experiment.configs(conf, {'dataset_name': 'summer2winter_yosemite'})
-677    conf.initialize()
+ 
677    experiment.configs(conf, {'dataset_name': 'summer2winter_yosemite'})
+678    conf.initialize()
@@ -1555,7 +1556,7 @@
- 
682    experiment.add_pytorch_models(get_modules(conf))
+ 
683    experiment.add_pytorch_models(get_modules(conf))
@@ -1567,7 +1568,7 @@
- 
684    with experiment.start():
+ 
685    with experiment.start():
@@ -1579,7 +1580,7 @@
- 
686        conf.run()
+ 
687        conf.run()
@@ -1591,7 +1592,7 @@
- 
689def plot_image(img: torch.Tensor):
+ 
690def plot_image(img: torch.Tensor):
@@ -1602,7 +1603,7 @@
- 
693    from matplotlib import pyplot as plt
+ 
694    from matplotlib import pyplot as plt
@@ -1614,7 +1615,7 @@
- 
696    img = img.cpu()
+ 
697    img = img.cpu()
@@ -1626,7 +1627,7 @@
- 
698    img_min, img_max = img.min(), img.max()
+ 
699    img_min, img_max = img.min(), img.max()
@@ -1638,7 +1639,7 @@
- 
700    img = (img - img_min) / (img_max - img_min + 1e-5)
+ 
701    img = (img - img_min) / (img_max - img_min + 1e-5)
@@ -1650,7 +1651,7 @@
- 
702    img = img.permute(1, 2, 0)
+ 
703    img = img.permute(1, 2, 0)
@@ -1662,7 +1663,7 @@
- 
704    plt.imshow(img)
+ 
705    plt.imshow(img)
@@ -1674,7 +1675,7 @@
- 
706    plt.axis('off')
+ 
707    plt.axis('off')
@@ -1686,7 +1687,7 @@
- 
708    plt.show()
+ 
709    plt.show()
@@ -1698,7 +1699,7 @@
- 
711def evaluate():
+ 
712def evaluate():
@@ -1710,7 +1711,7 @@
- 
716    trained_run_uuid = 'f73c1164184711eb9190b74249275441'
+ 
717    trained_run_uuid = 'f73c1164184711eb9190b74249275441'
@@ -1722,7 +1723,7 @@
- 
718    conf = Configs()
+ 
719    conf = Configs()
@@ -1734,7 +1735,7 @@
- 
720    experiment.create(name='cycle_gan_inference')
+ 
721    experiment.create(name='cycle_gan_inference')
@@ -1746,7 +1747,7 @@
- 
722    conf_dict = experiment.load_configs(trained_run_uuid)
+ 
723    conf_dict = experiment.load_configs(trained_run_uuid)
@@ -1766,8 +1767,8 @@
- 
731    experiment.configs(conf, conf_dict)
-732    conf.initialize()
+ 
732    experiment.configs(conf, conf_dict)
+733    conf.initialize()
@@ -1782,7 +1783,7 @@
- 
737    experiment.add_pytorch_models(get_modules(conf))
+ 
738    experiment.add_pytorch_models(get_modules(conf))
@@ -1795,7 +1796,7 @@
- 
740    experiment.load(trained_run_uuid)
+ 
741    experiment.load(trained_run_uuid)
@@ -1807,7 +1808,7 @@
- 
743    with experiment.start():
+ 
744    with experiment.start():
@@ -1819,10 +1820,10 @@
- 
745        transforms_ = [
-746            transforms.ToTensor(),
-747            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
-748        ]
+ 
746        transforms_ = [
+747            transforms.ToTensor(),
+748            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
+749        ]
@@ -1837,7 +1838,7 @@
- 
754        dataset = ImageDataset(conf.dataset_name, transforms_, 'train')
+ 
755        dataset = ImageDataset(conf.dataset_name, transforms_, 'train')
@@ -1849,7 +1850,7 @@
- 
756        x_image = dataset[10]['x']
+ 
757        x_image = dataset[10]['x']
@@ -1861,7 +1862,7 @@
- 
758        plot_image(x_image)
+ 
759        plot_image(x_image)
@@ -1873,8 +1874,8 @@
- 
761        conf.generator_xy.eval()
-762        conf.generator_yx.eval()
+ 
762        conf.generator_xy.eval()
+763        conf.generator_yx.eval()
@@ -1886,7 +1887,7 @@
- 
765        with torch.no_grad():
+ 
766        with torch.no_grad():
@@ -1898,8 +1899,8 @@
- 
767            data = x_image.unsqueeze(0).to(conf.device)
-768            generated_y = conf.generator_xy(data)
+ 
768            data = x_image.unsqueeze(0).to(conf.device)
+769            generated_y = conf.generator_xy(data)
@@ -1911,11 +1912,11 @@
- 
771        plot_image(generated_y[0].cpu())
-772
+            
772        plot_image(generated_y[0].cpu())
 773
-774if __name__ == '__main__':
-775    train()

+774
+775if __name__ == '__main__':
+776    train()
@@ -1940,7 +1941,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/cycle_gan/readme.html b/docs/gan/cycle_gan/readme.html index 3df80dce..091fae09 100644 --- a/docs/gan/cycle_gan/readme.html +++ b/docs/gan/cycle_gan/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/dcgan/index.html b/docs/gan/dcgan/index.html index 303dc7b4..9f879491 100644 --- a/docs/gan/dcgan/index.html +++ b/docs/gan/dcgan/index.html @@ -373,7 +373,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/dcgan/readme.html b/docs/gan/dcgan/readme.html index 8225e5c6..e70f429a 100644 --- a/docs/gan/dcgan/readme.html +++ b/docs/gan/dcgan/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/index.html b/docs/gan/index.html index 1a03ee48..5b725ba2 100644 --- a/docs/gan/index.html +++ b/docs/gan/index.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/original/experiment.html b/docs/gan/original/experiment.html index 41b834c8..adbe534a 100644 --- a/docs/gan/original/experiment.html +++ b/docs/gan/original/experiment.html @@ -606,7 +606,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/original/index.html b/docs/gan/original/index.html index 0483aa66..74565952 100644 --- a/docs/gan/original/index.html +++ b/docs/gan/original/index.html @@ -277,7 +277,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/original/readme.html b/docs/gan/original/readme.html index 324166c4..b56c1834 100644 --- a/docs/gan/original/readme.html +++ b/docs/gan/original/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/stylegan/experiment.html b/docs/gan/stylegan/experiment.html index 60a57860..ba74ec74 100644 --- a/docs/gan/stylegan/experiment.html +++ b/docs/gan/stylegan/experiment.html @@ -647,7 +647,7 @@
- 
184        dataloader = torch.utils.data.DataLoader(dataset, batch_size=self.batch_size, num_workers=32,
+            
184        dataloader = torch.utils.data.DataLoader(dataset, batch_size=self.batch_size, num_workers=8,
 185                                                 shuffle=True, drop_last=True, pin_memory=True)
@@ -1709,8 +1709,8 @@
- 
466if __name__ == '__main__':
-467    main()
+ 
467if __name__ == '__main__':
+468    main()
@@ -1723,7 +1723,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/stylegan/index.html b/docs/gan/stylegan/index.html index 1f6952d8..14ea9077 100644 --- a/docs/gan/stylegan/index.html +++ b/docs/gan/stylegan/index.html @@ -2752,7 +2752,6 @@ s76,-153,76,-153s77,-151,77,-151c0.7,0.7,35.7,202,105,604c67.3,400.7,102,602.7,1 function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/stylegan/readme.html b/docs/gan/stylegan/readme.html index de35a85b..e7aca5ce 100644 --- a/docs/gan/stylegan/readme.html +++ b/docs/gan/stylegan/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/experiment.html b/docs/gan/wasserstein/experiment.html index 4b559fe5..ebd114f7 100644 --- a/docs/gan/wasserstein/experiment.html +++ b/docs/gan/wasserstein/experiment.html @@ -196,7 +196,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/gradient_penalty/experiment.html b/docs/gan/wasserstein/gradient_penalty/experiment.html index 0ba53840..10217f83 100644 --- a/docs/gan/wasserstein/gradient_penalty/experiment.html +++ b/docs/gan/wasserstein/gradient_penalty/experiment.html @@ -338,7 +338,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/gradient_penalty/index.html b/docs/gan/wasserstein/gradient_penalty/index.html index 34ddbb3b..f3f1a576 100644 --- a/docs/gan/wasserstein/gradient_penalty/index.html +++ b/docs/gan/wasserstein/gradient_penalty/index.html @@ -194,7 +194,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/gradient_penalty/readme.html b/docs/gan/wasserstein/gradient_penalty/readme.html index 7851bb6f..f37bea83 100644 --- a/docs/gan/wasserstein/gradient_penalty/readme.html +++ b/docs/gan/wasserstein/gradient_penalty/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/index.html b/docs/gan/wasserstein/index.html index 5d6bd59b..5d85de48 100644 --- a/docs/gan/wasserstein/index.html +++ b/docs/gan/wasserstein/index.html @@ -186,7 +186,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/gan/wasserstein/readme.html b/docs/gan/wasserstein/readme.html index 621a0df3..67154e2d 100644 --- a/docs/gan/wasserstein/readme.html +++ b/docs/gan/wasserstein/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gat/experiment.html b/docs/graphs/gat/experiment.html index 1c17e9f4..55ff46e5 100644 --- a/docs/graphs/gat/experiment.html +++ b/docs/graphs/gat/experiment.html @@ -1226,7 +1226,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gat/index.html b/docs/graphs/gat/index.html index 1a01b414..7399bcf6 100644 --- a/docs/graphs/gat/index.html +++ b/docs/graphs/gat/index.html @@ -836,7 +836,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gat/readme.html b/docs/graphs/gat/readme.html index 38f2bc22..f376f81c 100644 --- a/docs/graphs/gat/readme.html +++ b/docs/graphs/gat/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gatv2/experiment.html b/docs/graphs/gatv2/experiment.html index 206f473b..989c728c 100644 --- a/docs/graphs/gatv2/experiment.html +++ b/docs/graphs/gatv2/experiment.html @@ -432,7 +432,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gatv2/index.html b/docs/graphs/gatv2/index.html index 57c3f444..c24edf4e 100644 --- a/docs/graphs/gatv2/index.html +++ b/docs/graphs/gatv2/index.html @@ -931,7 +931,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/gatv2/readme.html b/docs/graphs/gatv2/readme.html index b05176ad..c37c0d55 100644 --- a/docs/graphs/gatv2/readme.html +++ b/docs/graphs/gatv2/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/graphs/index.html b/docs/graphs/index.html index 999c5284..445464ad 100644 --- a/docs/graphs/index.html +++ b/docs/graphs/index.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/hypernetworks/experiment.html b/docs/hypernetworks/experiment.html index 4f5d463f..3c6844a5 100644 --- a/docs/hypernetworks/experiment.html +++ b/docs/hypernetworks/experiment.html @@ -347,7 +347,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/hypernetworks/hyper_lstm.html b/docs/hypernetworks/hyper_lstm.html index defc6c3f..c6835cf4 100644 --- a/docs/hypernetworks/hyper_lstm.html +++ b/docs/hypernetworks/hyper_lstm.html @@ -676,7 +676,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/hypernetworks/index.html b/docs/hypernetworks/index.html index ef2cad43..7ff3d41d 100644 --- a/docs/hypernetworks/index.html +++ b/docs/hypernetworks/index.html @@ -85,7 +85,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/index.html b/docs/index.html index e438b148..1c500ed6 100644 --- a/docs/index.html +++ b/docs/index.html @@ -161,7 +161,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/lstm/index.html b/docs/lstm/index.html index c63bb57c..acc42cc5 100644 --- a/docs/lstm/index.html +++ b/docs/lstm/index.html @@ -460,7 +460,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/batch_channel_norm/index.html b/docs/normalization/batch_channel_norm/index.html index 39d35679..e309cab9 100644 --- a/docs/normalization/batch_channel_norm/index.html +++ b/docs/normalization/batch_channel_norm/index.html @@ -678,7 +678,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/batch_norm/cifar10.html b/docs/normalization/batch_norm/cifar10.html index 6fecb06e..5a845942 100644 --- a/docs/normalization/batch_norm/cifar10.html +++ b/docs/normalization/batch_norm/cifar10.html @@ -233,7 +233,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/batch_norm/index.html b/docs/normalization/batch_norm/index.html index e06f589d..8451c8f8 100644 --- a/docs/normalization/batch_norm/index.html +++ b/docs/normalization/batch_norm/index.html @@ -476,7 +476,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/batch_norm/mnist.html b/docs/normalization/batch_norm/mnist.html index 2fe324b8..997a58cd 100644 --- a/docs/normalization/batch_norm/mnist.html +++ b/docs/normalization/batch_norm/mnist.html @@ -325,7 +325,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/batch_norm/readme.html b/docs/normalization/batch_norm/readme.html index c060f740..076004d4 100644 --- a/docs/normalization/batch_norm/readme.html +++ b/docs/normalization/batch_norm/readme.html @@ -117,7 +117,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/group_norm/experiment.html b/docs/normalization/group_norm/experiment.html index 5fb2788c..684fba47 100644 --- a/docs/normalization/group_norm/experiment.html +++ b/docs/normalization/group_norm/experiment.html @@ -363,7 +363,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/group_norm/index.html b/docs/normalization/group_norm/index.html index 9a86e4b9..c16d0e6e 100644 --- a/docs/normalization/group_norm/index.html +++ b/docs/normalization/group_norm/index.html @@ -386,7 +386,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/group_norm/readme.html b/docs/normalization/group_norm/readme.html index fa462a29..d021cc27 100644 --- a/docs/normalization/group_norm/readme.html +++ b/docs/normalization/group_norm/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/index.html b/docs/normalization/index.html index 6034b0cc..a0d3c495 100644 --- a/docs/normalization/index.html +++ b/docs/normalization/index.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/instance_norm/experiment.html b/docs/normalization/instance_norm/experiment.html index 809c9aa9..75f09cb5 100644 --- a/docs/normalization/instance_norm/experiment.html +++ b/docs/normalization/instance_norm/experiment.html @@ -233,7 +233,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/instance_norm/index.html b/docs/normalization/instance_norm/index.html index f5a484b9..f0944708 100644 --- a/docs/normalization/instance_norm/index.html +++ b/docs/normalization/instance_norm/index.html @@ -369,7 +369,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/instance_norm/readme.html b/docs/normalization/instance_norm/readme.html index 1c7d4dda..f127dc99 100644 --- a/docs/normalization/instance_norm/readme.html +++ b/docs/normalization/instance_norm/readme.html @@ -88,7 +88,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/layer_norm/index.html b/docs/normalization/layer_norm/index.html index b27f864b..4806c60e 100644 --- a/docs/normalization/layer_norm/index.html +++ b/docs/normalization/layer_norm/index.html @@ -371,7 +371,6 @@ M1001 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/layer_norm/readme.html b/docs/normalization/layer_norm/readme.html index d0485867..a283e43d 100644 --- a/docs/normalization/layer_norm/readme.html +++ b/docs/normalization/layer_norm/readme.html @@ -96,7 +96,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/weight_standardization/conv2d.html b/docs/normalization/weight_standardization/conv2d.html index 3cd8968f..36030264 100644 --- a/docs/normalization/weight_standardization/conv2d.html +++ b/docs/normalization/weight_standardization/conv2d.html @@ -174,7 +174,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/weight_standardization/experiment.html b/docs/normalization/weight_standardization/experiment.html index 8ef4a840..a1366d91 100644 --- a/docs/normalization/weight_standardization/experiment.html +++ b/docs/normalization/weight_standardization/experiment.html @@ -234,7 +234,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/weight_standardization/index.html b/docs/normalization/weight_standardization/index.html index 2078a2d9..ac79d272 100644 --- a/docs/normalization/weight_standardization/index.html +++ b/docs/normalization/weight_standardization/index.html @@ -175,7 +175,6 @@ c-4-3.333-8.333-7.667-13 -13l-13-13l77-155 77-156c66 199.333 139 419.667 function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/normalization/weight_standardization/readme.html b/docs/normalization/weight_standardization/readme.html index 4cd7a61b..7668db9f 100644 --- a/docs/normalization/weight_standardization/readme.html +++ b/docs/normalization/weight_standardization/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/optimizers/ada_belief.html b/docs/optimizers/ada_belief.html index 7bd5f00f..6ae3e683 100644 --- a/docs/optimizers/ada_belief.html +++ b/docs/optimizers/ada_belief.html @@ -466,7 +466,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/optimizers/adam.html b/docs/optimizers/adam.html index 061cbcfc..77be8fc9 100644 --- a/docs/optimizers/adam.html +++ b/docs/optimizers/adam.html @@ -707,7 +707,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/optimizers/adam_warmup.html b/docs/optimizers/adam_warmup.html index 0a1aa1cb..1b8d6f5f 100644 --- a/docs/optimizers/adam_warmup.html +++ b/docs/optimizers/adam_warmup.html @@ -202,7 +202,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); 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for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fast_weights/index.html b/docs/transformers/fast_weights/index.html index 345dc81d..eb7243a6 100644 --- a/docs/transformers/fast_weights/index.html +++ b/docs/transformers/fast_weights/index.html @@ -820,7 +820,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fast_weights/readme.html b/docs/transformers/fast_weights/readme.html index 0cc36e30..d53251f1 100644 --- a/docs/transformers/fast_weights/readme.html +++ b/docs/transformers/fast_weights/readme.html @@ -89,7 +89,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fast_weights/token_wise.html b/docs/transformers/fast_weights/token_wise.html index 5135828c..47111345 100644 --- a/docs/transformers/fast_weights/token_wise.html +++ b/docs/transformers/fast_weights/token_wise.html @@ -531,7 +531,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/feed_forward.html b/docs/transformers/feed_forward.html index db070717..ce9aeb0d 100644 --- a/docs/transformers/feed_forward.html +++ b/docs/transformers/feed_forward.html @@ -298,7 +298,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/feedback/experiment.html b/docs/transformers/feedback/experiment.html index 6892ca4e..c567b0fd 100644 --- a/docs/transformers/feedback/experiment.html +++ b/docs/transformers/feedback/experiment.html @@ -408,7 +408,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/feedback/index.html b/docs/transformers/feedback/index.html index 04d3ce3f..7c57e62b 100644 --- a/docs/transformers/feedback/index.html +++ b/docs/transformers/feedback/index.html @@ -1809,7 +1809,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/feedback/readme.html b/docs/transformers/feedback/readme.html index 2fe29a80..4df1c57d 100644 --- a/docs/transformers/feedback/readme.html +++ b/docs/transformers/feedback/readme.html @@ -94,7 +94,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fnet/experiment.html b/docs/transformers/fnet/experiment.html index f8fa0e8b..c2ab24c2 100644 --- a/docs/transformers/fnet/experiment.html +++ b/docs/transformers/fnet/experiment.html @@ -518,7 +518,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fnet/index.html b/docs/transformers/fnet/index.html index facb532e..702c3154 100644 --- a/docs/transformers/fnet/index.html +++ b/docs/transformers/fnet/index.html @@ -203,7 +203,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/fnet/readme.html b/docs/transformers/fnet/readme.html index e94b4927..55ca01a9 100644 --- a/docs/transformers/fnet/readme.html +++ b/docs/transformers/fnet/readme.html @@ -88,7 +88,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/glu_variants/experiment.html b/docs/transformers/glu_variants/experiment.html index 378128ce..b8c89e66 100644 --- a/docs/transformers/glu_variants/experiment.html +++ b/docs/transformers/glu_variants/experiment.html @@ -447,7 +447,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/glu_variants/index.html b/docs/transformers/glu_variants/index.html index da7686bf..01072183 100644 --- a/docs/transformers/glu_variants/index.html +++ b/docs/transformers/glu_variants/index.html @@ -89,7 +89,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/glu_variants/simple.html b/docs/transformers/glu_variants/simple.html index 273c0a4d..7cf518c4 100644 --- a/docs/transformers/glu_variants/simple.html +++ b/docs/transformers/glu_variants/simple.html @@ -1160,7 +1160,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/gmlp/experiment.html b/docs/transformers/gmlp/experiment.html index 3020dd60..3bef8e2a 100644 --- a/docs/transformers/gmlp/experiment.html +++ b/docs/transformers/gmlp/experiment.html @@ -450,7 +450,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/gmlp/index.html b/docs/transformers/gmlp/index.html index 02dfdcba..b539cd76 100644 --- a/docs/transformers/gmlp/index.html +++ b/docs/transformers/gmlp/index.html @@ -531,7 +531,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/gmlp/readme.html b/docs/transformers/gmlp/readme.html index 1f603b4b..03474b45 100644 --- a/docs/transformers/gmlp/readme.html +++ b/docs/transformers/gmlp/readme.html @@ -90,7 +90,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/gpt/index.html b/docs/transformers/gpt/index.html index 96b39f49..7b4233c8 100644 --- a/docs/transformers/gpt/index.html +++ b/docs/transformers/gpt/index.html @@ -868,7 +868,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/index.html b/docs/transformers/index.html index 48e64479..dce7dcc4 100644 --- a/docs/transformers/index.html +++ b/docs/transformers/index.html @@ -123,7 +123,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/knn/build_index.html b/docs/transformers/knn/build_index.html index dc260df6..1ab637c9 100644 --- a/docs/transformers/knn/build_index.html +++ b/docs/transformers/knn/build_index.html @@ -614,7 +614,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/knn/eval_knn.html b/docs/transformers/knn/eval_knn.html index 09b4140f..3fa6867e 100644 --- a/docs/transformers/knn/eval_knn.html +++ b/docs/transformers/knn/eval_knn.html @@ -582,7 +582,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/knn/index.html b/docs/transformers/knn/index.html index 9fdaceae..590c9010 100644 --- a/docs/transformers/knn/index.html +++ b/docs/transformers/knn/index.html @@ -97,7 +97,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/knn/train_model.html b/docs/transformers/knn/train_model.html index 2eb53cfe..96bf33a0 100644 --- a/docs/transformers/knn/train_model.html +++ b/docs/transformers/knn/train_model.html @@ -498,7 +498,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/label_smoothing_loss.html b/docs/transformers/label_smoothing_loss.html index 54a50b41..36f63156 100644 --- a/docs/transformers/label_smoothing_loss.html +++ b/docs/transformers/label_smoothing_loss.html @@ -206,7 +206,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mha.html b/docs/transformers/mha.html index 40f89ff2..84d68895 100644 --- a/docs/transformers/mha.html +++ b/docs/transformers/mha.html @@ -689,7 +689,6 @@ M834 80h400000v40h-400000z'/> function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlm/experiment.html b/docs/transformers/mlm/experiment.html index bb407e50..bfe1216e 100644 --- a/docs/transformers/mlm/experiment.html +++ b/docs/transformers/mlm/experiment.html @@ -1167,7 +1167,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlm/index.html b/docs/transformers/mlm/index.html index c17b1a99..6f4c859c 100644 --- a/docs/transformers/mlm/index.html +++ b/docs/transformers/mlm/index.html @@ -343,7 +343,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlm/readme.html b/docs/transformers/mlm/readme.html index bfbcc20d..7657d47d 100644 --- a/docs/transformers/mlm/readme.html +++ b/docs/transformers/mlm/readme.html @@ -114,7 +114,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlp_mixer/experiment.html b/docs/transformers/mlp_mixer/experiment.html index b66cb51b..73d65b0b 100644 --- a/docs/transformers/mlp_mixer/experiment.html +++ b/docs/transformers/mlp_mixer/experiment.html @@ -438,7 +438,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlp_mixer/index.html b/docs/transformers/mlp_mixer/index.html index 33ae767f..3b7cfbf1 100644 --- a/docs/transformers/mlp_mixer/index.html +++ b/docs/transformers/mlp_mixer/index.html @@ -236,7 +236,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/mlp_mixer/readme.html b/docs/transformers/mlp_mixer/readme.html index 7666bdcd..cc55438b 100644 --- a/docs/transformers/mlp_mixer/readme.html +++ b/docs/transformers/mlp_mixer/readme.html @@ -91,7 +91,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/models.html b/docs/transformers/models.html index 7546e1ed..79f0d1c1 100644 --- a/docs/transformers/models.html +++ b/docs/transformers/models.html @@ -712,7 +712,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/positional_encoding.html b/docs/transformers/positional_encoding.html index 45f6b288..0c8e5ddf 100644 --- a/docs/transformers/positional_encoding.html +++ b/docs/transformers/positional_encoding.html @@ -255,7 +255,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/primer_ez/efficient.html b/docs/transformers/primer_ez/efficient.html index 30f387ec..a1f7f7ec 100644 --- a/docs/transformers/primer_ez/efficient.html +++ b/docs/transformers/primer_ez/efficient.html @@ -220,7 +220,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/primer_ez/experiment.html b/docs/transformers/primer_ez/experiment.html index 1e85c8c2..c1d77e86 100644 --- a/docs/transformers/primer_ez/experiment.html +++ b/docs/transformers/primer_ez/experiment.html @@ -441,7 +441,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/primer_ez/index.html b/docs/transformers/primer_ez/index.html index c1bd582a..5f3b6363 100644 --- a/docs/transformers/primer_ez/index.html +++ b/docs/transformers/primer_ez/index.html @@ -376,7 +376,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/primer_ez/readme.html b/docs/transformers/primer_ez/readme.html index 87fbf3e7..16813a8b 100644 --- a/docs/transformers/primer_ez/readme.html +++ b/docs/transformers/primer_ez/readme.html @@ -94,7 +94,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/primer_ez/variations.html b/docs/transformers/primer_ez/variations.html index efcdc6bf..f4472060 100644 --- a/docs/transformers/primer_ez/variations.html +++ b/docs/transformers/primer_ez/variations.html @@ -509,7 +509,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/relative_mha.html b/docs/transformers/relative_mha.html index 5df9500e..03e132b3 100644 --- a/docs/transformers/relative_mha.html +++ b/docs/transformers/relative_mha.html @@ -74,7 +74,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/switch/experiment.html b/docs/transformers/switch/experiment.html index 9ef45cf1..da4df2eb 100644 --- a/docs/transformers/switch/experiment.html +++ b/docs/transformers/switch/experiment.html @@ -844,7 +844,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/switch/index.html b/docs/transformers/switch/index.html index 2cd06060..51200a12 100644 --- a/docs/transformers/switch/index.html +++ b/docs/transformers/switch/index.html @@ -720,7 +720,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/switch/readme.html b/docs/transformers/switch/readme.html index 79f05db8..599cc810 100644 --- a/docs/transformers/switch/readme.html +++ b/docs/transformers/switch/readme.html @@ -92,7 +92,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/utils.html b/docs/transformers/utils.html index 1fc2d31d..06176c6e 100644 --- a/docs/transformers/utils.html +++ b/docs/transformers/utils.html @@ -126,7 +126,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/vit/experiment.html b/docs/transformers/vit/experiment.html index 25974aed..059f9a40 100644 --- a/docs/transformers/vit/experiment.html +++ b/docs/transformers/vit/experiment.html @@ -376,7 +376,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/vit/index.html b/docs/transformers/vit/index.html index a7be1928..bb25e3aa 100644 --- a/docs/transformers/vit/index.html +++ b/docs/transformers/vit/index.html @@ -662,7 +662,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/vit/readme.html b/docs/transformers/vit/readme.html index 73659b55..ca036f85 100644 --- a/docs/transformers/vit/readme.html +++ b/docs/transformers/vit/readme.html @@ -93,7 +93,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/xl/experiment.html b/docs/transformers/xl/experiment.html index 582e1cdf..981b2737 100644 --- a/docs/transformers/xl/experiment.html +++ b/docs/transformers/xl/experiment.html @@ -1050,7 +1050,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/xl/index.html b/docs/transformers/xl/index.html index 73fd751b..896d33ba 100644 --- a/docs/transformers/xl/index.html +++ b/docs/transformers/xl/index.html @@ -454,7 +454,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/xl/readme.html b/docs/transformers/xl/readme.html index a77cab44..e3d9b504 100644 --- a/docs/transformers/xl/readme.html +++ b/docs/transformers/xl/readme.html @@ -92,7 +92,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/transformers/xl/relative_mha.html b/docs/transformers/xl/relative_mha.html index 48e0be81..466948a0 100644 --- a/docs/transformers/xl/relative_mha.html +++ b/docs/transformers/xl/relative_mha.html @@ -380,7 +380,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/uncertainty/evidence/experiment.html b/docs/uncertainty/evidence/experiment.html index ef56f038..c7ee8bbc 100644 --- a/docs/uncertainty/evidence/experiment.html +++ b/docs/uncertainty/evidence/experiment.html @@ -870,7 +870,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/uncertainty/evidence/index.html b/docs/uncertainty/evidence/index.html index 148e042d..93cd3d6b 100644 --- a/docs/uncertainty/evidence/index.html +++ b/docs/uncertainty/evidence/index.html @@ -687,7 +687,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/uncertainty/evidence/readme.html b/docs/uncertainty/evidence/readme.html index 849aabb4..6b6a733c 100644 --- a/docs/uncertainty/evidence/readme.html +++ b/docs/uncertainty/evidence/readme.html @@ -90,7 +90,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/uncertainty/index.html b/docs/uncertainty/index.html index 690e0456..1176ff9a 100644 --- a/docs/uncertainty/index.html +++ b/docs/uncertainty/index.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/uncertainty/readme.html b/docs/uncertainty/readme.html index 3789f631..68acf6ca 100644 --- a/docs/uncertainty/readme.html +++ b/docs/uncertainty/readme.html @@ -87,7 +87,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/utils/index.html b/docs/utils/index.html index d0f39598..260fd9cc 100644 --- a/docs/utils/index.html +++ b/docs/utils/index.html @@ -249,7 +249,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) } diff --git a/docs/utils/tokenizer.html b/docs/utils/tokenizer.html index ae20d11c..51df360e 100644 --- a/docs/utils/tokenizer.html +++ b/docs/utils/tokenizer.html @@ -197,7 +197,6 @@ function handleImages() { var images = document.querySelectorAll('p>img') - console.log(images); for (var i = 0; i < images.length; ++i) { handleImage(images[i]) }