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Inconsistent number of parameters loading encoding with tiny-cuda-nn pytorch bindings and instant-ngp #433

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fedeceola opened this issue May 14, 2024 · 0 comments

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@fedeceola
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Hi, I am creating an encoding with the pytorch bindings from the following .json config file.

smaller_no_base.json

If i create the encoding with this line of code
tiny_cuda_nn_encoding = tcnn.Encoding(n_input_dims=3, encoding_config=config["encoding"]) I have a number of parameters which is different from the one that I have when loading this configuration file in instant-ngp. With other configuration files such as the original base.json or bigger models the problem doesn't occur.

Is it a bug or am I missing something?

Thanks in advance for the support.

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