Turn XLA back on for default set (but filtered out using should_run_job) (pytorch#21470)

Summary:
Pull Request resolved: pytorch#21470
ghimport-source-id: 69800c1

Differential Revision: D15696930

Pulled By: ezyang

fbshipit-source-id: fafbcba38d9572a23ee9c1d81cdcce3a154ae4c6

Author: ezyang

.circleci/cimodel/data/pytorch_build_data.py

@@ -16,7 +16,7 @@
             ("5.4", [
                 XImportant("3.6"),
                 ("3.6", [
-                    ("xla", [X(True)]),
+                    ("xla", [XImportant(True)]),
                     ("namedtensor", [X(True)]),
                 ]),
             ]),
@@ -147,6 +147,9 @@ def modify_label(self, label):
     def init2(self, node_name):
         self.props["is_xla"] = node_name
 
+    def child_constructor(self):
+        return ImportantConfigNode
+
 
 class NamedTensorConfigNode(TreeConfigNode):
     def modify_label(self, label):
@@ -163,6 +166,9 @@ def modify_label(self, label):
     def init2(self, node_name):
         self.props["is_important"] = node_name
 
+    def get_children(self):
+        return []
+
 
 class XenialCompilerConfigNode(TreeConfigNode):
 

.circleci/config.yml

@@ -2438,16 +2438,10 @@ workflows:
       - pytorch_xla_linux_trusty_py3_6_gcc5_4_build:
           requires:
             - setup
-          filters:
-            branches:
-              only: master
       - pytorch_xla_linux_trusty_py3_6_gcc5_4_test:
           requires:
             - setup
             - pytorch_xla_linux_trusty_py3_6_gcc5_4_build
-          filters:
-            branches:
-              only: master
       - pytorch_namedtensor_linux_trusty_py3_6_gcc5_4_build:
           requires:
             - setup

.circleci/scripts/should_run_job.sh

@@ -1,9 +1,6 @@
 #!/usr/bin/env bash
 set -exu -o pipefail
 
-echo "This check is currently disabled in favor of branch-based filtering"
-exit 0
-
 SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 
 # Check if we should actually run