Comments (6)
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Just compared GPU and CPU again, and this time training is significantly faster on the GPU.
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Is this solved then?
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We would probably be able to train larger networks (and with larger sample sizes) if we had a single C++ op that does causal 1d convolution, as we would be able to avoid all the extra copying that's currently being done.
But writing and maintaining the op might be a pain :/
from tensorflow-wavenet.
I've done it before, but not with gpu support...
On Thu, Oct 6, 2016, 18:58 Igor Babuschkin [email protected] wrote:
We would probably be able to train larger networks (and with larger sample
sizes) if we had a single C++ op that does causal 1d convolution, as we
would be able to avoid all the extra copying that's currently being done.
But writing and maintaining the op might be a pain :/—
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@ibab I've made a pull request for mixed precision training
#384
and would like to encourage the authors and community to give it a try :)
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Related Issues (20)
- how dialated convolution actually work ?
- How to stop and resume training HOT 2
- Problem on runing it on colab HOT 2
- generate.py very slow with GPU HOT 1
- TypeError: cast() missing 1 required positional argument: 'dtype'
- tensorboard result: the generated audio of generate.py is 0 seconds
- Understanding convolution kernels in dilation layers HOT 4
- TypeError: Value passed to parameter 'indices' has DataType float32 not in list of allowed values: uint8, int32, int64 HOT 1
- I failed to download the dataset, how should I resolve the voice HOT 1
- My loss function fluctuates like crazy.
- Colab problem: continue previous training HOT 4
- problem on generate only noise HOT 5
- testing much worse than training?
- QUESTION How long does it take to generate one sample? HOT 1
- Module 'tensorflow' has no attribute 'placeholder' HOT 8
- Why is there no activation function applied to the 1x1 conv that produces the dense output?
- ModuleNotFoundError: No module named 'tensorflow.contrib' HOT 1
- about loading VCTK_Corpus dataset?
- Project dependencies may have API risk issues
- Training wavenet to rap?
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from tensorflow-wavenet.