message: Adjust bounds
  Summary:
  Ref T16509
  TF1.15 Only
  Reviewers: #tensorflow, #framework_ip_review_-_any_oss_or_third-party_code_use_has_been_approved, gauthamg, vladimirm
  Subscribers: vladimirm
  Maniphest Tasks: T16509
diff: @@ -152,7 +152,7 @@ class Resnet18_No_Batchnorm(xla_test.XLATestCase):
  sess.run(loss, feed_dict={x: data, y_: labels})
  report = pva.openReport(report_helper.find_report())
  - self.assert_total_tile_memory(report, 25260426)
  + self.assert_total_tile_memory(report, 25260426, tolerance=0.1)
  def testTraining(self):
  cfg = ipu.utils.IPUConfig()
  @@ -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, 41844478)
  + self.assert_total_tile_memory(report, 41844478, tolerance=0.1)
  def testTrainingInLoop(self):
  cfg = ipu.utils.IPUConfig()
  @@ -259,7 +259,7 @@ 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, 40593174)
  + self.assert_total_tile_memory(report, 40593174, tolerance=0.1)
  def testTrainingMomentumInLoop(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, 42345717)
  + self.assert_total_tile_memory(report, 42345717, tolerance=0.1)
  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, 42952761)
  + self.assert_total_tile_memory(report, 42952761, tolerance=0.1)
  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, 43220853)
  + self.assert_total_tile_memory(report, 43220853, tolerance=0.1)
  if __name__ == "__main__":
  