Fix dtype mismatch in validate_layer: cast flat to float before F.linear
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@@ -210,7 +210,7 @@ def validate_layer(li, all_weights, cfg, device='cuda:0'):
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flat = (X_flat * rms_inv).to(torch.bfloat16)
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# F.linear + split [pre(4), post(4), comb(16)]
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proj = torch.nn.functional.linear(flat, fn).float()
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proj = torch.nn.functional.linear(flat.float(), fn).float()
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pre_w, post_w, comb_w = proj.split([n_hc, n_hc, n_hc * n_hc], dim=-1)
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pre_b, post_b, comb_b = base.split([n_hc, n_hc, n_hc * n_hc])
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pre_s, post_s, comb_s = scale.unbind(0)
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