Closed jannepy closed 6 years ago
What do you mean by "v1 model" ? Which model is that. Is that DeepSpeech model and was it used to work with an older neon version?
It is based on the DeepSpeech model, and it has been trained with Neon 1.8. It appears that the models serialized with the old 1.* versions are no longer compatible with the latest Neon. Is there some way to convert those models such that they can be used with version 2.6?
neon 2.3+ versions should be able to load the model trained in neon 1.8, and re-save it in neon 2.3+ format.
Please see this issue: https://github.com/NervanaSystems/neon/issues/415 and please pay attention to the comment that "i was able to load and save the new model by printing out the model architecture and verifying that the structure of the layers where equal".
I followed the instructions in #415, and by reconstructing the layers I was able to load the model into Neon 2.6 and save in the new format. Thanks!
We have an older Neon v1 model which we'd like to use with the latest Neon version. However, the model loading fails due to this assert: File "neon/neon/layers/container.py", line 200, in load_weight assert len(pdict['config']['layers']) == len(self.layers)
This same issue has been reported with the pre-trained deep speech model: https://github.com/NervanaSystems/deepspeech/issues/63
Is there a way to convert the old v1 model to work with the latest Neon?