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pass dtype to torch.zeros as well

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C43H66N12O12S2 2022-09-15 13:31:31 +03:00 committed by AUTOMATIC1111
parent b28cf84c36
commit 7ec6282ec2
1 changed files with 1 additions and 1 deletions
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modules/sd_hijack.py
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@ -57,7 +57,7 @@ def split_cross_attention_forward(self, x, context=None, mask=None):
q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q_in, k_in, v_in)) q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q_in, k_in, v_in))
del q_in, k_in, v_in del q_in, k_in, v_in
r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device) r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device. dtype=q.dtype)
stats = torch.cuda.memory_stats(q.device) stats = torch.cuda.memory_stats(q.device)
mem_active = stats['active_bytes.all.current'] mem_active = stats['active_bytes.all.current']