changes examples to pl_examples for name connflict

pl_examples/basic_examples/cpu_template.py

@@ -7,7 +7,7 @@ import torch
 
 from argparse import ArgumentParser
 from pytorch_lightning import Trainer
-from examples.basic_examples.lightning_module_template import LightningTemplateModel
+from pl_examples.basic_examples.lightning_module_template import LightningTemplateModel
 
 SEED = 2334
 torch.manual_seed(SEED)

pl_examples/basic_examples/gpu_template.py

@@ -7,7 +7,7 @@ import torch
 
 from argparse import ArgumentParser
 from pytorch_lightning import Trainer
-from examples.basic_examples.lightning_module_template import LightningTemplateModel
+from pl_examples.basic_examples.lightning_module_template import LightningTemplateModel
 
 SEED = 2334
 torch.manual_seed(SEED)

pl_examples/multi_node_examples/multi_node_ddp2_demo.py

@@ -7,7 +7,7 @@ import torch
 
 from argparse import ArgumentParser
 from pytorch_lightning import Trainer
-from examples.basic_examples.lightning_module_template import LightningTemplateModel
+from pl_examples.basic_examples.lightning_module_template import LightningTemplateModel
 
 SEED = 2334
 torch.manual_seed(SEED)

pl_examples/multi_node_examples/multi_node_ddp_demo.py

@@ -7,7 +7,7 @@ import torch
 
 from argparse import ArgumentParser
 from pytorch_lightning import Trainer
-from examples.basic_examples.lightning_module_template import LightningTemplateModel
+from pl_examples.basic_examples.lightning_module_template import LightningTemplateModel
 
 SEED = 2334
 torch.manual_seed(SEED)

tests/debug.py

@@ -1,5 +1,5 @@
 from pytorch_lightning import Trainer
-from examples import LightningTemplateModel
+from pl_examples import LightningTemplateModel
 from pytorch_lightning.testing import LightningTestModel
 from argparse import Namespace
 from test_tube import Experiment

tests/test_models.py

@@ -29,7 +29,7 @@ from pytorch_lightning.trainer.trainer import reduce_distributed_output
 from pytorch_lightning.root_module import model_saving
 from pytorch_lightning.trainer import trainer_io
 from pytorch_lightning.logging import TestTubeLogger
-from examples import LightningTemplateModel
+from pl_examples import LightningTemplateModel
 
 # generate a list of random seeds for each test
 RANDOM_FILE_PATHS = list(np.random.randint(12000, 19000, 1000))