However, the Transformer Context Network has a fixed input dimension the BASE Wav2Vec 2.0 model uses a transformer of model dimension 768. Therefore this implies that the output from the Convolutional Feature Encoder will have varying lengths across batches. I was reading the Wav2Vec 2.0 paper and trying to understand the model architecture, but I have trouble understanding how audio raw inputs of variable lengths can be fed through the model, especially from the Convolutional Feature Encoder to the Transformer Context Network.ĭuring fine-tuning (from what I have read), even though audio raw inputs within a batch will be padded to the length of the longest input in the batch, the length of inputs can differ across batches. User116029 Asks: How does Wav2Vec 2.0 feed output from Convolutional Feature Encoder as input to the Transformer Context Network VM1187 tiny_mce_popup.js:5Uncaught TypeError: Cannot read property 'plugin_url' of undefinedĪt Object.getWindowArg (VM1187 tiny_mce_popup.js:5)Īt Object.requireLangPack (VM1187 tiny_mce_popup.js:5) Mctabs.js:13 Uncaught TypeError: Cannot read property 'windowManager' of undefinedįorm_utils.js:11 Uncaught TypeError: Cannot read property 'baseURI' of undefined Uncaught DOMException: Blocked a frame with origin "" from accessing a cross-origin frame. **document.domain = '' **tinyMCEPopup.init() Uncomment and change this document.domain value if you are loading the script cross subdomainsĪt the end of the script I also added (in bold). When I started troubleshooting I came across this I went ahead and added a subdomain but it still doesn't work. The script wouldn't load because it was on a different domain. Everything worked fine until I added a cdn. I have a Magento 1.9 site that uses TinyMCE.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |