Documentation examples

examples/frameworks/tensorflow/legacy/tensorboard_pr_curve.py

@@ -39,6 +39,9 @@ import tensorflow as tf
 from tensorboard.plugins.pr_curve import summary
 from clearml import Task
 
+
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
 task = Task.init(project_name='examples', task_name='tensorboard pr_curve')
 
 tf.compat.v1.disable_v2_behavior()

examples/frameworks/tensorflow/legacy/tensorboard_toy.py

@@ -8,9 +8,12 @@ import numpy as np
 from PIL import Image
 
 from clearml import Task
-task = Task.init(project_name='examples', task_name='tensorboard toy example')
 
 
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
+task = Task.init(project_name='examples', task_name='tensorboard toy example')
+
 k = tf.placeholder(tf.float32)
 
 # Make a normal distribution, with a shifting mean

examples/frameworks/tensorflow/legacy/tensorflow_eager.py

@@ -32,11 +32,13 @@ from tensorflow.examples.tutorials.mnist import input_data
 
 from clearml import Task
 
+
 tf.compat.v1.enable_eager_execution()
 
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
 task = Task.init(project_name='examples', task_name='Tensorflow eager mode')
 
-
 FLAGS = tf.app.flags.FLAGS
 tf.app.flags.DEFINE_integer('data_num', 100, """Flag of type integer""")
 tf.app.flags.DEFINE_string('img_path', './img', """Flag of type string""")

examples/frameworks/tensorflow/legacy/tensorflow_mnist_with_summaries.py

@@ -34,6 +34,9 @@ from tensorflow.examples.tutorials.mnist import input_data
 from clearml import Task
 
 FLAGS = None
+
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
 task = Task.init(project_name='examples', task_name='Tensorflow mnist with summaries example')
 
 

examples/frameworks/tensorflow/manual_model_upload.py

@@ -6,6 +6,9 @@ import tempfile
 import tensorflow as tf
 from clearml import Task
 
+
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
 task = Task.init(project_name='examples', task_name='Model configuration and upload')
 
 model = tf.Module()

examples/frameworks/tensorflow/tensorboard_pr_curve.py

@@ -39,6 +39,8 @@ from tensorboard.plugins.pr_curve import summary
 from clearml import Task
 
 
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
 task = Task.init(project_name='examples', task_name='tensorboard pr_curve')
 
 tf.compat.v1.disable_v2_behavior()

examples/frameworks/tensorflow/tensorflow_mnist.py

@@ -11,8 +11,9 @@ from tensorflow.keras import Model
 from clearml import Task
 
 
-task = Task.init(project_name='examples',
-                 task_name='Tensorflow v2 mnist with summaries')
+# Connecting ClearML with the current process,
+# from here on everything is logged automatically
+task = Task.init(project_name='examples', task_name='Tensorflow v2 mnist with summaries')
 
 
 # Load and prepare the MNIST dataset.