Add python-version argument to tensorflow-task

spotify_tensorflow/luigi/tensorflow_task.py

@@ -44,6 +44,9 @@ class TensorFlowTask(luigi.Task):
                                 to the latest stable version. See
                                 https://cloud.google.com/ml/docs/concepts/runtime-version-list for a
                                 list of accepted versions.
+    python_version = None       The Google Cloud AI Platform python version for this job. See
+                                https://cloud.google.com/ml-engine/docs/versioning#set-python-version-training
+                                for more information.
     scale_tier = None           Specifies the machine types, the number of replicas for workers and
                                 parameter servers. SCALE_TIER must be one of:
                                     basic, basic-gpu, basic-tpu, custom, premium-1, standard-1.
@@ -74,6 +77,12 @@ class TensorFlowTask(luigi.Task):
     runtime_version = luigi.Parameter(default=None,
                                       description="The Google Cloud AI Platform runtime version "
                                       "for this job.")
+    python_version = luigi.Parameter(
+        default=None,
+        description="The Google Cloud AI Platform python version for this job. See "
+                    "https://cloud.google.com/ml-engine/docs/versioning#set-python-version-training"
+                    "for more information."
+    )
     scale_tier = luigi.Parameter(default=None,
                                  description="Specifies the machine types, the number of replicas "
                                              "for workers and parameter servers.")
@@ -126,6 +135,8 @@ def _mk_cloud_params(self):
             params.append("--stream-logs")  # makes the execution "blocking"
         if self.runtime_version:
             params.append("--runtime-version=%s" % self.runtime_version)
+        if self.python_version:
+            params.append("--python-version=%s" % self.python_version)
         if self.scale_tier:
             params.append("--scale-tier=%s" % self.scale_tier)
         return params