quickstart added

tutorials/get-started-day1/IDE-users/06-run-pytorch-data.py

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+# 06-run-pytorch-data.py
+from azureml.core import Workspace
+from azureml.core import Experiment
+from azureml.core import Environment
+from azureml.core import ScriptRunConfig
+from azureml.core import Dataset
+
+if __name__ == "__main__":
+    ws = Workspace.from_config()
+    datastore = ws.get_default_datastore()
+    dataset = Dataset.File.from_files(path=(datastore, 'datasets/cifar10'))
+
+    experiment = Experiment(workspace=ws, name='day1-experiment-data')
+
+    config = ScriptRunConfig(
+        source_directory='./src',
+        script='train.py',
+        compute_target='cpu-cluster',
+        arguments=[
+            '--data_path', dataset.as_named_input('input').as_mount(),
+            '--learning_rate', 0.003,
+            '--momentum', 0.92],
+    )
+    # set up pytorch environment
+    env = Environment.from_conda_specification(
+        name='pytorch-env',
+        file_path='./environments/pytorch-env.yml'
+    )
+    config.run_config.environment = env
+
+    run = experiment.submit(config)
+    aml_url = run.get_portal_url()
+    print("Submitted to compute cluster. Click link below")
+    print("")
+    print(aml_url)