          -------
          tensor
              The output tensor from the convolution block
          """
          name = "conv{}".format(idx)
          var_x = inputs
          for i in range(1, recursions + 1):
              rec_name = "{}_{}".format(name, i)
              var_x = ZeroPadding2D(1, name="{}.zeropad".format(rec_name))(var_x)
              var_x = Conv2D(filters,
 
</s> remove         name = "conv{}".format(idx)
 </s> add         name = f"conv{idx}" </s> remove             rec_name = "{}_{}".format(name, i)
            var_x = ZeroPadding2D(1, name="{}.zeropad".format(rec_name))(var_x)
 </s> add             rec_name = f"{name}_{i}"
            var_x = ZeroPadding2D(1, name=f"{rec_name}.zeropad")(var_x) </s> remove             rec_name = "{}_{}".format(name, i)
 </s> add             rec_name = f"{name}_{i}" </s> remove                 var_x = ZeroPadding2D(1, name="{}.zeropad".format(rec_name))(var_x)
 </s> add                 var_x = ZeroPadding2D(1, name=f"{rec_name}.zeropad")(var_x) </s> remove     global _NAMES  # pylint:disable=global-statement
 </s> add     global _NAMES  # pylint:disable=global-statement,global-variable-not-assigned
        name = f"conv{idx}"
          -------
          tensor
              The output tensor from the convolution block
          """
        name = f"conv{idx}"
          var_x = inputs
          for i in range(1, recursions + 1):
              rec_name = "{}_{}".format(name, i)
              var_x = ZeroPadding2D(1, name="{}.zeropad".format(rec_name))(var_x)
              var_x = Conv2D(filters,
keep keep keep keep replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
plugins/extract/detect/s3fd.py