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cannot reproduce #38
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i use a simple video dataset, no problem with gpu and dataset, and i haven't changed anything on the source code. |
and this RuntimeError: CUDA error: device-side assert triggered |
Alright, nevermine, its my problem, I should never waste time on a nonreproducible project, and a github less than 1k stars |
I experienced the problem and posted it, as an issue. |
I tried many all GPU on google colab but none work, what the error means is just that the training dataset and label are not correct, but i check the dataset and the label, you know it are the three lines: |
maybe we can work together to fix this error. |
Let's do it, can you share your fork or you or I can share mine (I forked and made my branch): luthando-contribution |
I really dont think this can be reproduced,
RuntimeError: Error(s) in loading state_dict for CViViT:
Missing key(s) in state_dict: "discr.attn_blocks.3.null_kv", "discr.attn_blocks.3.q_scale", "discr.attn_blocks.3.k_scale", "discr.attn_blocks.3.norm.gamma", "discr.attn_blocks.3.norm.beta", "discr.attn_blocks.3.context_norm.gamma", "discr.attn_blocks.3.context_norm.beta", "discr.attn_blocks.3.to_q.weight", "discr.attn_blocks.3.to_kv.weight", "discr.attn_blocks.3.to_out.weight".
Unexpected key(s) in state_dict: "discr.blocks.6.conv_res.weight", "discr.blocks.6.conv_res.bias", "discr.blocks.6.net.0.weight", "discr.blocks.6.net.0.bias", "discr.blocks.6.net.2.weight", "discr.blocks.6.net.2.bias", "discr.blocks.5.downsample.1.weight", "discr.blocks.5.downsample.1.bias".
size mismatch for discr.to_logits.3.weight: copying a param with shape torch.Size([1, 8192]) from checkpoint, the shape in current model is torch.Size([1, 16384]).
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