deepakbabel23 commented on a change in pull request #5617:
URL: https://github.com/apache/incubator-tvm/pull/5617#discussion_r431635377
##########
File path: python/tvm/relay/frontend/tensorflow.py
##########
@@ -2896,15 +2903,29 @@ def _parse_import_prerequisites(self, graph):
"""
missing_operators = set()
for node in graph.node:
+ try:
+ from tensorflow.python.framework import op_def_registry
+ except ImportError as e:
+ raise ImportError(
+ "Unable to import tensorflow which is required
{}".format(e))
+ getOpDef = op_def_registry._registered_ops.get if
hasattr(op_def_registry,\
+ "_registered_ops") else op_def_registry.get
+ op_def = getOpDef(node.op)
if node.op == "Placeholder" or node.op == 'PlaceholderWithDefault':
pass
elif node.op == "Const":
pass
+ elif node.op in ["PartitionedCall", "StatefulPartitionedCall"]:
+ pass
else:
if any([node.op in t for t in [_identity_list, _convert_map,
_convert_map_rnn,
_control_flow_nodes]]):
pass
+ elif op_def is not None and op_def.is_stateful:
+ raise Exception("Found a stateful operator in this graph
{}. "\
Review comment:
Yes sure, It will support the aforesaid purpose. You can review once
after I handle this in the new implementation.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
