Lines Matching full:requires_grad_
45 cpu_tensor.requires_grad_()
204 root = torch.randn(4, 5, dtype=torch.float32).to_mkldnn().requires_grad_()
216 root = torch.randn(4, 5, dtype=torch.float32).to_mkldnn().requires_grad_()
256 x1.requires_grad_()
257 x2.requires_grad_()
332 x_ref = x_lower.clone().float().detach().requires_grad_()
333 x_lower.requires_grad_()
384 x1.requires_grad_()
385 x2.requires_grad_()
498 x.requires_grad_()
499 x_ref.requires_grad_()
567 x1 = x.clone().requires_grad_()
568 x2 = x.clone().to_mkldnn().requires_grad_()
580 x1 = x.clone().requires_grad_()
581 x2 = x.clone().to_mkldnn().requires_grad_()
615 x1 = x.clone().requires_grad_()
616 x2 = x.clone().to_mkldnn().requires_grad_()
630 x1 = x.clone().to_mkldnn().requires_grad_()
631 x2 = x.clone().to_mkldnn(torch.bfloat16).requires_grad_()
649 x1 = x.clone().requires_grad_()
650 x2 = x.clone().to_mkldnn().requires_grad_()
651 x3 = x.clone().to_mkldnn().requires_grad_()
684 x_fp32 = x.clone().to_mkldnn().requires_grad_()
685 x_bf16 = x.clone().to_mkldnn(torch.bfloat16).requires_grad_()
699 x_bf16 = torch.randn(size, dtype=torch.bfloat16).requires_grad_()
725 x1 = input.clone().requires_grad_()
726 x2 = input.clone().to_mkldnn().requires_grad_()
848 x1 = input.clone().requires_grad_()
849 x2 = input.clone().to_mkldnn().requires_grad_()
930 x1 = x.clone().requires_grad_()
931 x2 = x.clone().to_mkldnn().requires_grad_()
984 x1 = input.clone().requires_grad_()
985 x2 = input.clone().to_mkldnn().requires_grad_()
1149 x.requires_grad_(True)
1150 y.requires_grad_(True)
1208 x1 = x.clone().requires_grad_()
1209 x2 = x.clone().to_mkldnn().requires_grad_()
1254 x1 = x.clone().requires_grad_()
1255 x2 = x.clone().to_mkldnn().requires_grad_()
1288 x1 = x.clone().requires_grad_()
1289 x2 = x.clone().to_mkldnn().requires_grad_()
1511 input1 = input.clone().requires_grad_(training)
1512 input2 = input.clone().requires_grad_(training)
1514 h1 = h.clone().requires_grad_(training)
1515 h2 = h.clone().requires_grad_(training)
1516 c1 = c.clone().requires_grad_(training)
1517 c2 = c.clone().requires_grad_(training)