Error during Inference about deepxi HOT 7 CLOSED

Hi, can you delete the 'test_x_list.p' from the data directory and try again?

Also, which version of tensorflow are you using?

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Hi betagon,

You should not rename it to the original file. The code stores the file path and the file length of each .wav file in test_x_list.p. If you delete test_x_list.p, then the code will create it again correctly.

Just add the files you want to set/test_noisy_speech (without renaming). If you get an error, try and delete data/test_x_list.py to recreate the test list

Hope this helps

from deepxi.

That was it.

1. Removed test_x_list_turbo.p file from data/
2. Put audio files in set/test_noisy_speech

Also, I had to resample audio files to the following format in order to make it work:
Sample rate: 16000 Hz
Bit rate: 256 kbps
I used the following command in linux:

sox input.wav -r 16000 -b 16  output.wav
# check if output.wav has 256kbps, if it has 512kbps, change option -b 16 to -b 8 

To install sox: sudo apt-get install sox

Furthermore, the results I got weren't the expected and I run into errors when trying to do inference in a big file (180MB). I will open some issues later to address theses problems.

Thank you for you time and effort

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@anicolson I found a problem when I add one 35s test audio to 'set/test_noisy_speech', I got this error when running command './run.sh VER="mhanet-1.1c" INFER=1 GAIN="mmse-lsa"', but it works well for short audio such as 3s:
`100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 3.01it/s]
(1, 2225, 257)
(1, 2225, 257)
(1,)
Performing inference...
2020-12-29 17:33:16.576687: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7
2020-12-29 17:33:18.438092: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10
Traceback (most recent call last):
File "main.py", line 92, in
saved_data_path=args.saved_data_path,
File "/home/dell/users/lpp/ns/DeepXi/deepxi/model.py", line 277, in infer
tgt_hat_batch = self.model.predict(inp_batch, verbose=1)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 130, in _method_wrapper
return method(self, *args, **kwargs)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 1599, in predict
tmp_batch_outputs = predict_function(iterator)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 780, in call
result = self._call(*args, **kwds)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 846, in _call
return self._concrete_stateful_fn._filtered_call(canon_args, canon_kwds) # pylint: disable=protected-access
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 1848, in _filtered_call
cancellation_manager=cancellation_manager)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 1924, in _call_flat
ctx, args, cancellation_manager=cancellation_manager))
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 550, in call
ctx=ctx)
File "/home/dell/.local/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 60, in quick_execute
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: indices[0,2209] = 2209 is not in [0, 2048)
[[node functional_1/embedding/embedding_lookup (defined at /home/dell/users/lpp/ns/DeepXi/deepxi/model.py:277) ]]
(1) Invalid argument: indices[0,2209] = 2209 is not in [0, 2048)
[[node functional_1/embedding/embedding_lookup (defined at /home/dell/users/lpp/ns/DeepXi/deepxi/model.py:277) ]]
[[functional_1/embedding/embedding_lookup/_8]]
0 successful operations.
0 derived errors ignored. [Op:__inference_predict_function_2107]

Errors may have originated from an input operation.
Input Source operations connected to node functional_1/embedding/embedding_lookup:
functional_1/embedding/embedding_lookup/1639 (defined at /home/dell/.conda/envs/lpp_tf2.0/lib/python3.7/contextlib.py:112)

Input Source operations connected to node functional_1/embedding/embedding_lookup:
functional_1/embedding/embedding_lookup/1639 (defined at /home/dell/.conda/envs/lpp_tf2.0/lib/python3.7/contextlib.py:112)

Function call stack:
predict_function -> predict_function`

I will appreciate any help.

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Name: tensorflow-gpu
Version: 2.3.0

from deepxi.

@anicolson After doing this setting, everything is ok. Any way to remove this limit?

print("Performing inference...") inp_batch=inp_batch[:,:2048,:] supplementary_batch=supplementary_batch[:,:2048,:]

from deepxi.

from deepxi.