Traceback (most recent call last):
File "train1.py", line 93, in
train(logdir=logdir)
File "train1.py", line 17, in train
model = Model(mode="train1", batch_size=hp.Train1.batch_size, queue=queue)
File "/home/ruby/deep-voice-conversion/models.py", line 26, in init
self.ppgs, self.pred_ppg, self.logits_ppg, self.pred_spec, self.pred_mel = self.net_template()
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/template.py", line 276, in call
return self._call_func(args, kwargs, check_for_new_variables=False)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/template.py", line 216, in _call_func
result = self._func(*args, *kwargs)
File "/home/ruby/deep-voice-conversion/models.py", line 100, in _net2
ppgs, preds_ppg, logits_ppg = self._net1()
File "/home/ruby/deep-voice-conversion/models.py", line 75, in _net1
out = cbhg(prenet_out, hp.Train1.num_banks, hp.Train1.hidden_units // 2, hp.Train1.num_highway_blocks, hp.Train1.norm_type, self.is_training)
File "/home/ruby/deep-voice-conversion/modules.py", line 307, in cbhg
is_training=is_training) # (N, T, K E / 2)
File "/home/ruby/deep-voice-conversion/modules.py", line 189, in conv1d_banks
output = normalize(output, type=norm_type, is_training=is_training, activation_fn=tf.nn.relu)
File "/home/ruby/deep-voice-conversion/modules.py", line 116, in normalize
beta = tf.get_variable("beta", shape=params_shape, initializer=tf.zeros_initializer)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 988, in get_variable
custom_getter=custom_getter)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 890, in get_variable
custom_getter=custom_getter)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 348, in get_variable
validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 333, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 684, in _get_single_variable
validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 197, in init
expected_shape=expected_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 274, in _init_from_args
initial_value(), name="initial_value", dtype=dtype)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 673, in
shape.as_list(), dtype=dtype, partition_info=partition_info)
TypeError: init() got multiple values for keyword argument 'dtype'
originally defined at:
File "/home/ruby/deep-voice-conversion/models.py", line 25, in init
self.net_template = tf.make_template('net', self._net2)
I put timit into datasets folder,
can someone solve this problem?
thank u.
I have a error,when I run train1.py
Traceback (most recent call last): File "train1.py", line 93, in
train(logdir=logdir)
File "train1.py", line 17, in train
model = Model(mode="train1", batch_size=hp.Train1.batch_size, queue=queue)
File "/home/ruby/deep-voice-conversion/models.py", line 26, in init
self.ppgs, self.pred_ppg, self.logits_ppg, self.pred_spec, self.pred_mel = self.net_template()
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/template.py", line 276, in call
return self._call_func(args, kwargs, check_for_new_variables=False)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/template.py", line 216, in _call_func
result = self._func(*args, *kwargs)
File "/home/ruby/deep-voice-conversion/models.py", line 100, in _net2
ppgs, preds_ppg, logits_ppg = self._net1()
File "/home/ruby/deep-voice-conversion/models.py", line 75, in _net1
out = cbhg(prenet_out, hp.Train1.num_banks, hp.Train1.hidden_units // 2, hp.Train1.num_highway_blocks, hp.Train1.norm_type, self.is_training)
File "/home/ruby/deep-voice-conversion/modules.py", line 307, in cbhg
is_training=is_training) # (N, T, K E / 2)
File "/home/ruby/deep-voice-conversion/modules.py", line 189, in conv1d_banks
output = normalize(output, type=norm_type, is_training=is_training, activation_fn=tf.nn.relu)
File "/home/ruby/deep-voice-conversion/modules.py", line 116, in normalize
beta = tf.get_variable("beta", shape=params_shape, initializer=tf.zeros_initializer)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 988, in get_variable
custom_getter=custom_getter)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 890, in get_variable
custom_getter=custom_getter)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 348, in get_variable
validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 333, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 684, in _get_single_variable
validate_shape=validate_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 197, in init
expected_shape=expected_shape)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 274, in _init_from_args
initial_value(), name="initial_value", dtype=dtype)
File "/home/ruby/.local/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 673, in
shape.as_list(), dtype=dtype, partition_info=partition_info)
TypeError: init() got multiple values for keyword argument 'dtype'
originally defined at: File "/home/ruby/deep-voice-conversion/models.py", line 25, in init self.net_template = tf.make_template('net', self._net2)
I put timit into datasets folder, can someone solve this problem? thank u.