mengzhibin
commented
4 years ago I found the question
the value is not be defined when in else condition
if isinstance(record_value, list) and record_name == "desc":
for idx, value in enumerate(record_value):
_file_name = "desc_{}.json".format(idx)
_file = FileOps.join_path(_path, _file_name)
with open(_file, "w") as f:
json.dump(value, f)
else:
_file_name = None
if record_name == "desc":
_file_name = "desc_{}.json".format(worker_id)
if record_name == "performance":
_file_name = "performance_{}.json".format(worker_id)
_file = FileOps.join_path(_path, _file_name)
with open(_file, "w") as f:
json.dump(value, f)
I cannot find where this log is saved and dont know how to analysis. can you help answer me?
Failed to save desc, file=/home/mengzhibin/vega/tasks/1105.182606.151/workers/nas/4/desc_4.json, desc={'detector': {'name': 'AutoLaneDetector', 'modules': ['backbone', 'neck', 'head'], 'num_class': 2, 'method': 'random', 'code': 'x50(2x24d)_48_112111-211112-1-1+122-022', 'backbone': {'name': 'ResNeXtVariantDet', 'arch': '112111-211112-1-1', 'base_depth': 50, 'base_channel': 48, 'groups': 2, 'base_width': 24, 'num_stages': 4, 'strides': (1, 2, 2, 2), 'dilations': (1, 1, 1, 1), 'out_indices': (0, 1, 2, 3), 'frozen_stages': -1, 'zero_init_residual': False, 'norm_cfg': {'type': 'BN', 'requires_grad': True}, 'conv_cfg': {'type': 'Conv'}, 'out_channels': [384, 1536, 1536, 1536], 'style': 'pytorch'}, 'neck': {'arch_code': '122-022', 'name': 'FeatureFusionModule', 'in_channels': [384, 1536, 1536, 1536]}, 'head': {'base_channel': 1792, 'num_classes': 2, 'up_points': 73, 'down_points': 72, 'name': 'AutoLaneHead'}, 'limits': {'GFlops': 1}}, 'modules': ['detector']}, msg=local variable 'value' referenced before assignment Failed to save performance, file=/home/mengzhibin/vega/tasks/1105.182606.151/workers/nas/4/performance_4.json, desc={'LaneMetric': 0.0}, msg=local variable 'value' referenced before assignment