Comments (1)
For the most part, you should just be able to substitute the LSTM in other projects with the QRNN. There's nothing particularly difference you would be required to do. The only explicit project that we've released that uses QRNN so far is the language modeling example at https://github.com/salesforce/awd-lstm-lm.
from pytorch-qrnn.
Related Issues (20)
- Problem with QRNN num_layers=2, layers=None, and input_size != hidden_size HOT 1
- Bad squeeze in CPUForgetMult HOT 2
- RuntimeError: matrix and matrix expected HOT 1
- Could you update the code to Pytorch 0.4?
- Any updates on bidirectional QRNN?
- Bidirectional QRNN? HOT 2
- Strings are encoded twice by both QRNN and Pynvrtc? HOT 1
- RuntimeError: size mismatch if use the window size of 2
- Can QRNN be used in a online manner?
- Error when running your example and on AWD-LSTM-LM HOT 3
- ForgetMult equation in code is different from the paper HOT 2
- AttributeError: 'bytes' object has no attribute 'encode' HOT 4
- [WinError 126] The specified module could not be found - Any idea of the error source? HOT 1
- Legacy autograd Runtime error HOT 2
- Is there tensorflow code for QRNN?
- Support local development by removing dependency on PyCy when not used
- Multi-GPU [Torch DataParallel] HOT 7
- Package install ASCII error from long_description=open('README')? HOT 3
- Error in executing QRNN HOT 3
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from pytorch-qrnn.