Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
N/A
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
N/A
Mobile device (e.g., Pixel 4, Samsung Galaxy 10) if the issue happens on mobile device:
Android 9
TensorFlow installed from (source or binary):
source
TensorFlow version (use command below):
1.13.1
Python version:
3.6
Bazel version (if compiling from source):
0.19.1
GCC/Compiler version (if compiling from source):
N/A
CUDA/cuDNN version:
N/A
GPU model and memory:
N/A
NDK:
r18b
Please provide the entire URL of the model you are using?
https://github.com/tensorflow/models/tree/master/research/audioset/yamnetDescribe the current behavior
I'm using YAMNet in android, I compiled Tensorflow 1.13 from source in Ubuntu 16.04 for android platform, so I can use native c++ to do inference in android. But now I get no output of YAMNet.
This is the logcat in android studio, seems the 'RFFT' op is not supported?
D/Mudra: Graph /data/user/0/com.example.sd/cache/yamnet.pb read successfully!
I/Mudra: Create TensorFlow Session: Invalid argument: No OpKernel was registered to support Op 'RFFT' used by {{node log_mel_features/stft/rfft}}with these attrs: []
Registered devices: [CPU]
Registered kernels:
<no registered kernels>
[[{{node log_mel_features/stft/rfft}}]]
Describe the expected behavior
I test the pb model in windows, tensorflow 1.14, it works fine.
Code to reproduce the issue
System information
Please provide the entire URL of the model you are using?
https://github.com/tensorflow/models/tree/master/research/audioset/yamnet Describe the current behavior I'm using YAMNet in android, I compiled Tensorflow 1.13 from source in Ubuntu 16.04 for android platform, so I can use native c++ to do inference in android. But now I get no output of YAMNet. This is the logcat in android studio, seems the 'RFFT' op is not supported?
Describe the expected behavior I test the pb model in windows, tensorflow 1.14, it works fine. Code to reproduce the issue
N/A Other info / logs
N/A