diff --git a/labml_nn/capsule_networks/mnist.py b/labml_nn/capsule_networks/mnist.py index 8f734a52..14056cae 100644 --- a/labml_nn/capsule_networks/mnist.py +++ b/labml_nn/capsule_networks/mnist.py @@ -153,8 +153,7 @@ def main(): conf = Configs() experiment.create(name='mnist_latest') experiment.configs(conf, {'optimizer.optimizer': 'Adam', - 'device.cuda_device': 1}, - 'run') + 'device.cuda_device': 1}) with experiment.start(): conf.run() diff --git a/labml_nn/gan/dcgan.py b/labml_nn/gan/dcgan.py index 79be4f5a..6ffb1225 100644 --- a/labml_nn/gan/dcgan.py +++ b/labml_nn/gan/dcgan.py @@ -106,8 +106,7 @@ def main(): experiment.configs(conf, {'discriminator': 'cnn', 'generator': 'cnn', - 'label_smoothing': 0.01}, - 'run') + 'label_smoothing': 0.01}) with experiment.start(): conf.run() diff --git a/labml_nn/gan/simple_mnist_experiment.py b/labml_nn/gan/simple_mnist_experiment.py index 9685d14e..478fca99 100644 --- a/labml_nn/gan/simple_mnist_experiment.py +++ b/labml_nn/gan/simple_mnist_experiment.py @@ -233,8 +233,7 @@ def main(): conf = Configs() experiment.create(name='mnist_gan', comment='test') experiment.configs(conf, - {'label_smoothing': 0.01}, - 'run') + {'label_smoothing': 0.01}) with experiment.start(): conf.run() diff --git a/labml_nn/transformers/knn/build_index.py b/labml_nn/transformers/knn/build_index.py index f4dab2f3..cfd10068 100644 --- a/labml_nn/transformers/knn/build_index.py +++ b/labml_nn/transformers/knn/build_index.py @@ -33,7 +33,7 @@ def load_experiment(run_uuid: str, checkpoint: Optional[int] = None): # This experiment is just an evaluation; i.e. nothing is tracked or saved experiment.evaluate() # Initialize configurations - experiment.configs(conf, conf_dict, 'run') + experiment.configs(conf, conf_dict) # Set models for saving/loading experiment.add_pytorch_models(get_modules(conf)) # Specify the experiment to load from diff --git a/labml_nn/transformers/knn/train_model.py b/labml_nn/transformers/knn/train_model.py index eec99f68..ec3e17d5 100644 --- a/labml_nn/transformers/knn/train_model.py +++ b/labml_nn/transformers/knn/train_model.py @@ -331,10 +331,7 @@ def main(): 'transformer.d_model': 256, 'transformer.d_ff': 1024, 'transformer.n_heads': 8, - 'transformer.n_layers': 6}, - # We need to load the function `TrainValidConfigs.run` and - # everything that it's dependent on - 'run') + 'transformer.n_layers': 6}) # Set models for saving and loading experiment.add_pytorch_models(get_modules(conf))