Comments (9)
which version of tensorflow
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related to issue 38 maybe?
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@imranparuk Yes. Thanks for pointing it out.
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It's a versioning problem.
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@astorfi hi another question: problem about
Squeeze spatially to eliminate extra dimensions.(embedding layer)
if spatial_squeeze:
logits = tf.squeeze(logits, [1, 2, 3], name='fc/squeezed')
a error happened , could I USE logits = tf.squeeze(logits, name='fc/squeezed') instead?
from 3d-convolutional-speaker-recognition.
Hi @dzfowen , the code works out the box, you do not need to change anything. Your issue is that you have the incorrect version of numpy+tensorflow. This will be eventually sorted out i'm sure but for now what you need to do is use a virtual environment, uninstall numpy, install tensorflow version 1 which ships with its own numpy. This should fix your issues.
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@imranparuk Hi! Thanks for your reply. I mean if I delete [1,2,3], the squeeze() will have the same function as the author's intention, is it right? The new api of squeeze() asked provided specific dimension must contain a 1 at least.
from 3d-convolutional-speaker-recognition.
spatial_squeeze: whether or not should squeeze the spatial dimensions of the
outputs. Useful to remove unnecessary dimensions for classification.
@dzfowen, no problem. I think it is possible to get the implementation working without the spatial squeeze, it seems to just be there to speed up training (The author should comment its use in more depth). However if python is complaining about dimensions with regard to the squeeze or any other portions of the model it is a good indication that your source of error is due to the mismatch in tensorflow and numpy versions.
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Convolution expects input with rank 4, got 2
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Related Issues (20)
- Extracting VAD for our own dataset HOT 1
- How to generate data HOT 13
- Run time error in the demo HOT 6
- No such file or directory: 'results/SCORES/score_vector.npy HOT 1
- Where does input_feature.py store it's results? HOT 1
- How to make Speaker Verification (1:1 recognition) model in keras? HOT 1
- What is the exact meaning of "utterances"? HOT 4
- ValueError: axes don't match array
- What does low-level and high-level features extraction mean? HOT 1
- .wav inputs specifics HOT 6
- where is score_vector.npy HOT 2
- Demo video recording link is broken
- Please update the vedio link of the demo.
- Pre trained model HOT 1
- Does anyone know the EER of this repo? HOT 1
- How to deal with .hdfs5 files ? HOT 2
- version problem HOT 1
- Speakers for Enrollment and Development
- γAll Dependency of This Project HOT 1
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