message: Fix CI issues
  Summary:
  TF2.4 Only
  Updated reference values form Resnet18 benchmarks
  V1 diff: D53987
  Reviewers: #tensorflow, #framework_ip_review_-_any_oss_or_third-party_code_use_has_been_approved, alfiee
  Maniphest Tasks: T48332
diff: @@ -218,7 +218,7 @@ class Resnet18_No_Batchnorm(xla_test.XLATestCase):
  sess.run(train, feed_dict={x: data, y_: labels})
  report = pva.openReport(report_helper.find_report())
  - self.assert_total_tile_memory(report, 42421207)
  + self.assert_total_tile_memory(report, 41844478)
  def testTrainingInLoop(self):
  cfg = ipu.utils.IPUConfig()
  @@ -299,7 +299,7 @@ class Resnet18_No_Batchnorm(xla_test.XLATestCase):
  sess.run(train, feed_dict={x: data, y_: labels})
  report = pva.openReport(report_helper.find_report())
  - self.assert_total_tile_memory(report, 43062251)
  + self.assert_total_tile_memory(report, 42345717)
  def testTrainingInLoopWithGradientAccumulation(self):
  cfg = ipu.utils.IPUConfig()
  @@ -341,7 +341,7 @@ class Resnet18_No_Batchnorm(xla_test.XLATestCase):
  sess.run(train, feed_dict={x: data, y_: labels})
  report = pva.openReport(report_helper.find_report())
  - self.assert_total_tile_memory(report, 43399099)
  + self.assert_total_tile_memory(report, 42952761)
  def testTrainingMomentumInLoopWithGradientAccumulation(self):
  cfg = ipu.utils.IPUConfig()
  @@ -382,7 +382,7 @@ class Resnet18_No_Batchnorm(xla_test.XLATestCase):
  sess.run(train, feed_dict={x: data, y_: labels})
  report = pva.openReport(report_helper.find_report())
  - self.assert_total_tile_memory(report, 43678735)
  + self.assert_total_tile_memory(report, 43220853)
  if __name__ == "__main__":
  