Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 2 additions & 6 deletions intel_pytorch_extension_py/ops/embeddingbag.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@
from torch.nn import functional as F
from torch.autograd import Function
import _torch_ipex as core
import itertools


'''
Expand Down Expand Up @@ -113,10 +112,7 @@ def _load_from_state_dict(self, state_dict, prefix, local_metadata, strict,
missing_keys, unexpected_keys, error_msgs):

if self.eval_mode:
local_name_params = itertools.chain(self._parameters.items())
local_state = {k: v for k, v in local_name_params}

for name, param in local_state.items():
for name, param in self._parameters.items():
key = prefix + name
if key in state_dict:
input_param = state_dict[key]
Expand All @@ -138,7 +134,7 @@ def _load_from_state_dict(self, state_dict, prefix, local_metadata, strict,
if key.startswith(prefix):
input_name = key[len(prefix):]
input_name = input_name.split('.', 1)[0] # get the name of param/buffer/child
if input_name not in self._modules and input_name not in local_state:
if input_name not in self._modules and input_name not in self._parameters:
unexpected_keys.append(key)
else:
super(_EmbeddingBag, self)._load_from_state_dict(
Expand Down