Merge pull request #402 from KohakuBlueleaf/fix-dtype-error
Fix dtype error in precision=half in macosmain
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22798f6822
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@ -234,7 +234,7 @@ def custom_group_norm(input, num_groups, mean, var, weight=None, bias=None, eps=
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input_reshaped = input.contiguous().view(
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1, int(b * num_groups), channel_in_group, *input.size()[2:])
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out = F.batch_norm(input_reshaped, mean, var, weight=None, bias=None, training=False, momentum=0, eps=eps)
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out = F.batch_norm(input_reshaped, mean.to(input), var.to(input), weight=None, bias=None, training=False, momentum=0, eps=eps)
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out = out.view(b, c, *input.size()[2:])
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# post affine transform
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