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Hello, I would like to kindly ask for your help about running the inference of SkyGPT. Here, I want to compare the generated prediction of the images in 15 mins a head produced by SkyGPT. Your answer will greatly my evaluation on the performance of your work against other state-of-the-art methods, and your paper will be cited accordingly...
I encountered the following problems associated with the inference part of SkyGPT. Please kindly let me know if my understanding is incorrect.
Firstly, I am trying to get the generated prediction of the images by running SkyGPT.sample(n, batch) where n is (what I assumed) the number of samples to be generated, and batch is the input video (or image squence). From the Stanford data, the size of the input video is Nx3x16x64x64.
First question: are the prediction images generated from the following command ? Is this correct?
self.vqvae.decode(samples)
which is the first output from SkyGPT.sample(n, batch)...
However, the number of predicted samples from self.vqvae.decode(samples) is equal to sequence_length (or 16 samples) .... But what if I want the number of predicted samples to be 15 , which parameters should be adjusted?
Another problem is that I always at the error about the following lines regarding the mismatching dimension between the initialized samples_phycell[batch_idx] and embedding_phycell
Hello, I would like to kindly ask for your help about running the inference of SkyGPT. Here, I want to compare the generated prediction of the images in 15 mins a head produced by SkyGPT. Your answer will greatly my evaluation on the performance of your work against other state-of-the-art methods, and your paper will be cited accordingly...
I encountered the following problems associated with the inference part of SkyGPT. Please kindly let me know if my understanding is incorrect.
Firstly, I am trying to get the generated prediction of the images by running
SkyGPT.sample(n, batch)
wheren
is (what I assumed) the number of samples to be generated, andbatch
is the input video (or image squence). From the Stanford data, the size of the input video is Nx3x16x64x64.self.vqvae.decode(samples)
which is the first output from
SkyGPT.sample(n, batch)
...However, the number of predicted samples from
self.vqvae.decode(samples)
is equal tosequence_length
(or 16 samples) .... But what if I want the number of predicted samples to be 15 , which parameters should be adjusted?Another problem is that I always at the error about the following lines regarding the mismatching dimension between the initialized
samples_phycell[batch_idx]
andembedding_phycell
Here is the screen shot for
SkyGPT.sample(n, batch)
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