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Bug fix
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@ -677,7 +677,7 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
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# value) to be 1, and since the singular values (==eigenvalues) of P
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# value) to be 1, and since the singular values (==eigenvalues) of P
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# are the squares of the singular values of C, we want them to have
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# are the squares of the singular values of C, we want them to have
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# mean of 1.
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# mean of 1.
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P /= _mean(_diag(P), exclude_dims=[0]).unsqueeze(-1)
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P /= _mean(_diag(P), exclude_dims=[0], keepdim=True).unsqueeze(-1)
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# C will satisfy: P == torch.matmul(C, C.transpose(2, 3))
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# C will satisfy: P == torch.matmul(C, C.transpose(2, 3))
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# C is of shape (batch_size, num_blocks, block_size, block_size).
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# C is of shape (batch_size, num_blocks, block_size, block_size).
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