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I am implementing grid lstm demo in v2 api. When trying to pass a memory object to the param state of the function lstm_step(), I got a complaint about unknown input layer for lstm_step. I also changed the input from memory object to other types of inputs, but the situation doesn’t get better.
The lstm_step function is called in a step function of recurrent group, whose context resembles:
lstm_step shouldn’t go wrong in simple test. So I wonder what results in this error, the context or something else.
The usage of lstm_step can be found in grid lstm source code, from line 138 to line 151.
And the error information:
/home/work/.jumbo/lib/python2.7/site-packages/sklearn/externals/joblib/_multiprocessing_helpers.py:28: UserWarning: This platform lacks a functioning sem_open implementation, therefore, the required synchronization primitives needed will not function, see issue 3770.. joblib will operate in serial mode
warnings.warn('%s. joblib will operate in serial mode' % (e,))
I0509 17:00:01.274682 15010 Util.cpp:166] commandline: --use_gpu=False --trainer_count=4
[CRITICAL 2017-05-09 17:00:01,554 layers.py:3023] Unknown input layer 'decoder_lstm1_state@anotation_lstm1_lstm_decoder_group@grid_decoder_group' for layer decoder_lstm1@anotation_lstm1_lstm_decoder_group@grid_decoder_group
Traceback (most recent call last):
File "grid_lstm_v2.py", line 350, in <module>
main()
File "grid_lstm_v2.py", line 346, in main
train()
File "grid_lstm_v2.py", line 269, in train
parameters = paddle.parameters.create(cost)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/parameters.py", line 19, in create
topology = Topology(layers)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/topology.py", line 69, in __init__
layers, extra_layers=extra_layers)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/layer.py", line 96, in parse_network
return __parse__(__real_func__)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/config_parser_utils.py", line 32, in parse_network_config
config = config_parser.parse_config(network_conf, config_arg_str)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 3598, in parse_config
trainer_config()
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/layer.py", line 89, in __real_func__
real_output = [each.to_proto(context=context) for each in output_layers]
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 109, in to_proto
context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 112, in to_proto
self.__parent_layers__[layer_name])
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 111, in <lambda>
v1_layer = map(lambda x: x.to_proto(context=context),
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 112, in to_proto
self.__parent_layers__[layer_name])
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 111, in <lambda>
v1_layer = map(lambda x: x.to_proto(context=context),
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 109, in to_proto
context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 109, in to_proto
context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 112, in to_proto
self.__parent_layers__[layer_name])
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 111, in <lambda>
v1_layer = map(lambda x: x.to_proto(context=context),
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 100, in to_proto
?
p.to_proto(context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 100, in to_proto
p.to_proto(context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 112, in to_proto
self.__parent_layers__[layer_name])
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 111, in <lambda>
v1_layer = map(lambda x: x.to_proto(context=context),
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 112, in to_proto
self.__parent_layers__[layer_name])
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 111, in <lambda>
v1_layer = map(lambda x: x.to_proto(context=context),
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 109, in to_proto
context=context)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 116, in to_proto
ret_val = self.to_proto_impl(**kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/v2/config_base.py", line 212, in to_proto_impl
return getattr(conf_helps, method_name)(**args)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/default_decorators.py", line 53, in __wrapper__
return func(*args, **kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/default_decorators.py", line 53, in __wrapper__
return func(*args, **kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/default_decorators.py", line 53, in __wrapper__
return func(*args, **kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/default_decorators.py", line 53, in __wrapper__
return func(*args, **kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/layers.py", line 331, in wrapper
return method(*args, **kwargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer_config_helpers/layers.py", line 3023, in lstm_step_layer
**ExtraLayerAttribute.to_kwargs(layer_attr))
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 3181, in Layer
return layer_func(name, **xargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 2993, in __init__
**xargs)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 1428, in __init__
(input_layer_name, name))
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 163, in config_assert
logger.fatal(msg)
File "/home/work/.jumbo/lib/python2.7/site-packages/paddle/trainer/config_parser.py", line 3518, in my_fatal
raise Exception()
Exception
The text was updated successfully, but these errors were encountered:
I am implementing grid lstm demo in v2 api. When trying to pass a memory object to the param
state
of the functionlstm_step()
, I got a complaint about unknown input layer forlstm_step
. I also changed the input from memory object to other types of inputs, but the situation doesn’t get better.The
lstm_step
function is called in a step function of recurrent group, whose context resembles:lstm_step
shouldn’t go wrong in simple test. So I wonder what results in this error, the context or something else.The usage of lstm_step can be found in grid lstm source code, from line 138 to line 151.
And the error information:
The text was updated successfully, but these errors were encountered: