.
Instructions for updating:
Use tf.cast instead.
Traceback (most recent call last):
File "webserver.py", line 149, in
model=model, input_pipeline=input_pipeline_infer, batch_size=batch_size)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\inference\inference.py", line 54, in create_inference_graph
return model(features=features, labels=labels, params=None)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\models\model_base.py", line 146, in call
return self._build(features, labels, params)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\models\seq2seq_model.py", line 297, in _build
encoder_output = self.encode(features, labels)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\graph_utils.py", line 38, in func_wrapper
return templated_func(*args, **kwargs)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 368, in call
return self._call_func(args, kwargs)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\models\basic_seq2seq.py", line 109, in encode
return encoder_fn(source_embedded, features["source_len"])
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\graph_module.py", line 57, in call
return self._template(*args, **kwargs)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 360, in call
return self._call_func(args, kwargs)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\encoders\encoder.py", line 49, in _build
return self.encode(inputs, *args, **kwargs)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\encoders\rnn_encoder.py", line 135, in encode
cell_fw = training_utils.get_rnn_cell(**self.params["rnn_cell"])
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\training\utils.py", line 157, in get_rnn_cell
cell = cell_from_spec(cell_class, cell_params)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\training\utils.py", line 123, in cell_from_spec
are: {}""".format(key, cell_class.name, cell_args))
ValueError: num_units is not a valid argument for LSTMCell class. Available arguments
are: set()
originally defined at:
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\models\basic_seq2seq.py", line 108, in encode
encoder_fn = self.encoder_class(self.params["encoder.params"], self.mode)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\encoders\rnn_encoder.py", line 119, in init
super(BidirectionalRNNEncoder, self).init(params, mode, name)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\encoders\encoder.py", line 45, in init
GraphModule.init(self, name)
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\graph_module.py", line 44, in init
self._template = tf.make_template(name, self.build, create_scope_now=True)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
originally defined at:
File "C:\Users\siddh\OneDrive\Documents\data2vis-master\seq2seq\graph_utils.py", line 37, in func_wrapper
templated_func = tf.make_template(name_, func)
File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
What command produces this? Can you also share the full error?
@victordibia
python -m unittest seq2seq.test.pipeline_test
when I exe it,the error exist.
victordibia
