Comments (6)
(tfgpu) [huangqq@server121 LPCNet]$ python ./src/dump_lpcnet.py lpcnet24g_384_10_G16_01.h5
Using TensorFlow backend.
return f(*args, **kwds)
Traceback (most recent call last):
File "./src/dump_lpcnet.py", line 212, in
model, _, _ = lpcnet.new_lpcnet_model(rnn_units1=384, use_gpu=False)
File "/hzqpath/temp/LPCNet/src/lpcnet.py", line 152, in new_lpcnet_model
gru_out1, _ = rnn(rnn_in)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 532, in call
return super(RNN, self).call(inputs, **kwargs)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 1649, in call
initial_state=initial_state)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 649, in call
input_length=timesteps)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3011, in rnn
maximum_iterations=input_length)
TypeError: while_loop() got an unexpected keyword argument 'maximum_iterations'
from lpcnet.
(tfgpu) [huangqq@server121 LPCNet]$ python ./src/dump_lpcnet.py lpcnet24g_384_10_G16_01.h5
Using TensorFlow backend.
return f(*args, **kwds)
Traceback (most recent call last):
File "./src/dump_lpcnet.py", line 212, in
model, _, _ = lpcnet.new_lpcnet_model(rnn_units1=384, use_gpu=False)
File "/hzqpath/temp/LPCNet/src/lpcnet.py", line 152, in new_lpcnet_model
gru_out1, _ = rnn(rnn_in)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 532, in call
return super(RNN, self).call(inputs, **kwargs)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 1649, in call
initial_state=initial_state)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/layers/recurrent.py", line 649, in call
input_length=timesteps)
File "/hzqpath/software/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3011, in rnn
maximum_iterations=input_length)
TypeError: while_loop() got an unexpected keyword argument 'maximum_iterations'
my tensorflow version is 1.4 (gpu)
from lpcnet.
my environment is tensorflow-gpu==1.12.0 and Keras== 2.2.4
from lpcnet.
my environment is tensorflow-gpu==1.12.0 and Keras== 2.2.4
is your environment ok?
from lpcnet.
yes, you can try it.
from lpcnet.
my environment is tensorflow-gpu==1.12.0 and Keras== 2.2.4
I created an anaconda environment whith python3.6 tensorflow==1.12.0 and Keras==2.2.4
then I run this python ./src/dump_lpcnet.py lpcnet24g_384_10_G16_01.h5
it works
thank U!
from lpcnet.
Related Issues (20)
- project version problem(tf2) HOT 4
- Heuristic doubling period trick by preprocessing pitch correlation values?
- Can't open input.pcm
- Is there a way to reduce the size of LPCNET_PACKET_SAMPLES and bits of per samples? HOT 1
- What does the "network size“ refer to on https://jmvalin.ca/demo/lpcnet/
- where is the gru_b_dense_feature defined?
- Does anyone have experience in jointly training of e2e LPCNet?
- Bitstream compatibility HOT 1
- P192 speed test in ARM A35 chip HOT 6
- "ValueError: axes don't match array" when applying --retrain flag to sample model file HOT 1
- I could get "nnet_data.*" files for the newly trained model. However after doing "make" and trying to generate signals with "lpcnet_demo", I find the reconstructions same as those ones of the pre-trained model. Any reason why this happens?
- bug
- How can it be so slow? HOT 1
- Training a new PLC model HOT 2
- Make errors HOT 8
- make error:undefined reference to `lpc_from_cepstrum' HOT 8
- How should the dataset of PLC algorithm be constructed?
- ValueError: all elements of `new_shape` must be non-negative HOT 1
- The 18 Bark-scale frequency bins are not normalized, introduces spectral tilt. HOT 2
- What are DC offsets?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lpcnet.