Lines Matching full:detach
1211 tensor_A = autocast_tensor_A.clone().detach()
1212 tensor_B = autocast_tensor_B.clone().detach()
1214 output_tensor = autocast_output_tensor.clone().detach()
1320 input = input.detach().clone()
1527 mps_x = cpu_x.detach().clone().to('mps')
1631 mask_mps = mask.clone().detach().to('mps')
1933 batch1_mps = batch1_cpu.detach().clone().to("mps")
1934 batch2_mps = batch2_cpu.detach().clone().to("mps")
1965 M_mps = M_cpu.detach().clone().to("mps")
1978 M_mps = M_cpu.detach().clone().to("mps")
1979 batch1_mps = batch1_cpu.detach().clone().to("mps")
1980 batch2_mps = batch2_cpu.detach().clone().to("mps")
1996 M_mps = M_cpu.detach().clone().to("mps")
1997 batch1_mps = batch1_cpu.detach().clone().to("mps")
1998 batch2_mps = batch2_cpu.detach().clone().to("mps")
2075 mps_linear.weight.data = cpu_linear.weight.data.detach().clone().to("mps")
2078 mps_linear.bias.data = cpu_linear.bias.data.detach().clone().to("mps")
2081 linear_cpu_input = linear_mps_input.detach().clone().to('cpu')
2095 grad = cpu_grad.detach().to('mps').requires_grad_()
2115 linear_cpu_input.grad.detach().zero_()
2116 linear_mps_input.grad.detach().zero_()
2117 cpu_linear.weight.grad.detach().zero_()
2118 mps_linear.weight.grad.detach().zero_()
2122 cpu_linear.bias.grad.detach().zero_()
2123 mps_linear.bias.grad.detach().zero_()
2244 x = cpu_x.detach().clone().to('mps').requires_grad_()
2339 x_cpu = x_mps.detach().clone().cpu()
2342 mask_cpu = mask_mps.detach().clone().cpu()
2345 y_cpu = y_mps.detach().clone().cpu()
2379 x_cpu = x_mps.detach().clone().cpu()
2381 mask_cpu = mask_mps.detach().clone().cpu()
2401 x = cpu_x.detach().clone().to('mps').requires_grad_()
2420 x = cpu_x.detach().clone().to('mps').requires_grad_()
2432 running_mean = cpu_running_mean.detach().clone().to('mps')
2433 running_var = cpu_running_var.detach().clone().to('mps')
2441 weight = cpu_weight.detach().clone().to('mps').requires_grad_()
2443 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
2654 x_cpu = x_mps.detach().clone().cpu()
2684 x = cpu_x.detach().clone().to('mps').requires_grad_()
2689 wt = cpu_wt.detach().clone().to('mps').requires_grad_()
2691 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
2751 x = cpu_x.detach().clone().to('mps').requires_grad_()
2763 running_mean = cpu_running_mean.detach().clone().to('mps')
2764 running_var = cpu_running_var.detach().clone().to('mps')
2772 weight = cpu_weight.detach().clone().to('mps').requires_grad_()
2774 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
2923 x = cpu_x.detach().clone().to('mps').requires_grad_()
2926 weight = cpu_weight.detach().clone().to('mps').requires_grad_()
2929 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
2944 x = cpu_x.detach().clone().to('mps').requires_grad_()
2958 x = cpu_x.detach().clone().to('mps').requires_grad_()
2996 x = cpu_x.detach().clone().to('mps').requires_grad_()
2999 wt = cpu_wt.detach().clone().to('mps').requires_grad_()
3006 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
3070 x = cpu_x.detach().clone().to('mps').requires_grad_()
3073 wt = cpu_wt.detach().clone().to('mps').requires_grad_()
3080 bias = cpu_bias.detach().clone().to('mps').requires_grad_()
3134 x = cpu_x.detach().clone().to('mps').requires_grad_()
3159 x = cpu_x.detach().clone().to('mps').requires_grad_()
3184 input_mps = input_cpu.detach().clone().to('mps').requires_grad_(requires_grad)
3210 x = cpu_x.detach().clone().to('mps')
3212 y = cpu_y.detach().clone().to('mps')
3220 x = cpu_x.detach().clone().to('mps')
3230 y = cpu_y.detach().clone().to('mps')
3247 x = cpu_x.detach().clone().to('mps')
3250 y = cpu_y.detach().clone().to('mps')
3253 z = cpu_z.detach().clone().to('mps')
3284 mps_x = cpu_x.detach().clone().to('mps')
3285 mps_y = cpu_y.detach().clone().to('mps')
3286 mps_z = cpu_z.detach().clone().to('mps')
3287 mps_out = cpu_out.detach().clone().to('mps')
3312 x_mps = x.detach().clone().to(device="mps")
3313 y_mps = y.detach().clone().to(device="mps")
3314 z_mps = z.detach().clone().to(device="mps")
3318 result_mps_out = result_cpu.detach().clone().to('mps')
3382 x_cpu = x.detach().clone().to("cpu")
3401 lin_mps.weight.data = lin_cpu.weight.data.detach().clone().to("mps").requires_grad_()
3402 lin_mps.bias.data = lin_cpu.bias.data.detach().clone().to("mps").requires_grad_()
3405 x_cpu = x_mps.detach().clone().cpu().requires_grad_()
3413 cls_token_cpu = cls_token_mps.detach().clone().cpu()
3421 target_cpu = target_mps.detach().clone().cpu()
3433 x_mps = x_cpu.detach().clone().to("mps")
3441 t_cpu = t_mps.detach().cpu().detach()
3467 mps_in = cpu_in.detach().clone().to("mps")
3477 x_cpu = x_mps.detach().clone().cpu()
3489 t_cpu = t_mps.detach().clone().cpu()
3543 x_cpu = x.detach().clone().cpu()
3556 X_mps = X.detach().clone().to("cpu")
3606 x_mps = x_tensor.detach().clone().to("mps")
3661 x_mps = x.detach().clone().to("mps")
3793 x = cpu_x.detach().clone().to('mps').requires_grad_()
3892 x_cpu = x.detach().clone().cpu()
3894 num_repeats_cpu = num_repeats.detach().clone().cpu()
4200 x = cpu_x.detach().clone().to('mps')
4220 x = cpu_x.detach().clone().to('mps')
4476 x = cpu_x.detach().clone().to('mps')
4511 x = cpu_x.detach().clone().to('mps')
4523 x = cpu_x.detach().clone().to('mps')
4548 x = cpu_x.detach().clone().to('mps').requires_grad_()
4722 x = cpu_x.detach().clone().to('mps').requires_grad_()
4742 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
4743 targetMPS = targetCPU.detach().clone().to('mps')
4771 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
4772 targetMPS = targetCPU.detach().clone().to('mps')
4803 x_mps = x.detach().clone().to("mps").permute(0, 2, 1)
4813 y_hat_mps = y_hat.detach().clone().to("mps")
4830 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
4831 targetMPS = targetCPU.detach().clone().to('mps')
4875 output_logits = output_sig.clone().detach()
5073 mps_x = cpu_x.detach().clone().to('mps')
5074 mps_y = cpu_y.detach().clone().to('mps')
5085 mps_x = cpu_x.detach().clone().to('mps')
5097 mps_x = cpu_x.detach().clone().to('mps')
5098 mps_y = cpu_y.detach().clone().to('mps')
5109 mps_x = cpu_x.detach().clone().to('mps')
5121 mps_x = cpu_x.detach().clone().to('mps')
5122 mps_y = cpu_y.detach().clone().to('mps')
5133 mps_x = cpu_x.detach().clone().to('mps')
5145 mps_x = cpu_x.detach().clone().to('mps')
5146 mps_y = cpu_y.detach().clone().to('mps')
5157 mps_x = cpu_x.detach().clone().to('mps')
5169 mps_x = cpu_x.detach().clone().to('mps')
5170 mps_y = cpu_y.detach().clone().to('mps')
5181 mps_x = cpu_x.detach().clone().to('mps')
5200 cpu_tensor = mps_tensor.detach().clone().cpu()
5218 x = cpu_x.detach().clone().to('mps')
5221 x = cpu_x.detach().clone().to('mps')
5224 x = cpu_x.detach().clone().to('mps').requires_grad_()
5274 x_cpu = x_mps.detach().clone().cpu()
5287 x = cpu_x.detach().clone().to('mps')
5290 x = cpu_x.detach().clone().to('mps')
5293 x = cpu_x.detach().clone().to('mps')
5369 mps_x = cpu_x.detach().clone().to('mps')
5385 mps_x = cpu_x.detach().clone().to('mps')
5426 x = cpu_x.detach().clone().to('mps')
5508 x = cpu_x.detach().clone().to('mps')
5562 x = cpu_x.detach().clone().to('mps')
5673 x = cpu_x.detach().clone().to('mps')
5676 x = cpu_x.detach().clone().to('mps')
5679 x = cpu_x.detach().clone().to('mps').requires_grad_()
5742 x = cpu_x.detach().clone().to('mps')
5745 x = cpu_x.detach().clone().to('mps')
5748 x = cpu_x.detach().clone().to('mps').requires_grad_()
5773 x = cpu_x.detach().clone().to('mps').requires_grad_()
5826 x = cpu_x.detach().clone().to('mps')
5929 x = cpu_x.detach().clone().to('mps')
5970 x = cpu_x.detach().clone().to('mps').requires_grad_()
5992 x = cpu_x.detach().clone().to('mps').requires_grad_()
6015 mps_x = cpu_x.detach().clone().to('mps')
6016 mps_y = cpu_y.detach().clone().to('mps')
6030 x = cpu_x.detach().clone().to('mps')
6067 x = cpu_x.detach().clone().to('mps')
6070 min_t = cpu_min_t.detach().clone().to('mps')
6089 x = cpu_x.detach().clone().to('mps')
6092 max_t = cpu_max_t.detach().clone().to('mps')
6116 x = cpu_x.detach().clone().to('mps')
6121 min_t = cpu_min_t.detach().clone().to('mps')
6126 max_t = cpu_max_t.detach().clone().to('mps')
6191 mps_x = cpu_x.detach().clone().to('mps')
6193 mps_y = cpu_y.detach().clone().to('mps')
6212 mps_x = cpu_x.detach().clone().to('mps')
6250 x = cpu_x.detach().clone().to('mps')
6263 x = x_cpu.detach().clone().to('mps')
6269 x = cpu_x.detach().clone().to('mps').requires_grad_()
6311 inputMPS = inputCPU.detach().to('mps').requires_grad_()
6344 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
6376 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
6420 x = cpu_x.detach().clone().to('mps')
6423 y = cpu_y.detach().clone().to('mps')
6426 z = cpu_z.detach().clone().to('mps')
6454 x = cpu_x.detach().clone().to('mps')
6456 y = cpu_y.detach().clone().to('mps')
6458 z = cpu_z.detach().clone().to('mps')
6461 x = cpu_x.detach().clone().to('mps')
6463 y = cpu_y.detach().clone().to('mps')
6465 z = cpu_z.detach().clone().to('mps')
6468 x = cpu_x.detach().clone().to('mps').requires_grad_()
6470 y = cpu_y.detach().clone().to('mps').requires_grad_()
6472 z = cpu_z.detach().clone().to('mps').requires_grad_()
6491 x = cpu_x.detach().clone().to('mps')
6503 x = cpu_x.detach().clone().to('mps')
6515 x = cpu_x.detach().clone().to('mps')
6527 x = cpu_x.detach().clone().to('mps')
6539 x = cpu_x.detach().clone().to('mps')
6551 x = cpu_x.detach().clone().to('mps')
6554 y = cpu_y.detach().clone().to('mps')
6566 x = cpu_x.detach().clone().to('mps')
6569 y = cpu_y.detach().clone().to('mps')
6581 x = cpu_x.detach().clone().to('mps')
6595 x = cpu_x.detach().clone().to('mps')
6598 y = cpu_y.detach().clone().to('mps')
6601 z = cpu_z.detach().clone().to('mps')
6604 w = cpu_w.detach().clone().to('mps')
6613 x = cpu_x.detach().clone().to('mps')
6616 y = cpu_y.detach().clone().to('mps')
6619 z = cpu_z.detach().clone().to('mps')
6638 x = cpu_x.detach().clone().to('mps')
6651 x = cpu_x.detach().clone().to('mps').requires_grad_()
6671 x = cpu_x.detach().clone().to('mps').requires_grad_()
6693 x = cpu_x.detach().clone().to('mps').requires_grad_(True)
6729 x = cpu_x.detach().clone().to('mps').requires_grad_()
6752 x = cpu_x.detach().clone().to('mps').requires_grad_()
6780 x = cpu_x.detach().clone().to('mps').requires_grad_()
6823 x = cpu_x.detach().clone().to('mps').requires_grad_()
6842 x = cpu_x.detach().clone().to('mps').requires_grad_()
6891 x = cpu_x.detach().clone().to('mps').requires_grad_()
6926 x = cpu_x.detach().clone().to('mps')
6966 x = cpu_x.detach().clone().to('mps')
7013 ref = (X.to(numpy_dtype).cpu().detach().numpy())
7032 x = cpu_x.detach().clone().to('mps')
7048 x = cpu_x.detach().clone().to('mps').requires_grad_()
7051 x = cpu_x.detach().clone().to('mps')
7076 input_mps = input_cpu.detach().clone().to('mps').requires_grad_(requires_grad)
7166 x = cpu_x.detach().clone().to('mps').requires_grad_()
7199 x = cpu_x.detach().clone().to('mps').requires_grad_()
7225 x = cpu_x.detach().clone().to('mps')
7228 idx = cpu_idx.detach().clone().to('mps')
7231 source = cpu_source.detach().clone().to('mps')
7307 x = cpu_x.detach().clone().to('mps')
7331 x = cpu_x.detach().clone().to('mps')
7334 idx = cpu_idx.detach().clone().to('mps')
7353 x = cpu_x.detach().clone().to('mps')
7356 idx = cpu_idx.detach().clone().to('mps')
7370 emedding_weight = embeddingMPS.weight.detach().cpu()
7403 x = cpu_x.detach().clone().to('mps').requires_grad_()
7409 idx = cpu_idx.detach().clone().to('mps')
7436 x = cpu_x.detach().clone().to('mps').requires_grad_()
7441 idx = cpu_idx.detach().clone().to('mps')
7458 x = cpu_x.detach().clone().to('mps').requires_grad_()
7461 src = cpu_src.detach().clone().to('mps').requires_grad_()
7475 idx = cpu_idx.detach().clone().to('mps')
7525 x = cpu_x.detach().clone().to('mps').requires_grad_()
7528 src = cpu_src.detach().clone().to('mps').requires_grad_()
7534 idx = cpu_idx.detach().clone().to('mps')
7565 x = cpu_x.detach().clone().to('mps').requires_grad_()
7568 src = cpu_src.detach().clone().to('mps').requires_grad_()
7574 idx = cpu_idx.detach().clone().to('mps')
7609 x = cpu_x.detach().clone().to('mps').requires_grad_()
7650 x = cpu_x.detach().clone().to('mps').requires_grad_()
7699 x = cpu_x.detach().clone().to('mps').requires_grad_()
7759 x = cpu_x.detach().clone().to('mps').requires_grad_()
7781 x = cpu_x.detach().clone().to('mps').requires_grad_()
7806 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
7816 cond = cpu_cond.detach().clone().to('mps')
7819 x = cpu_x.detach().clone().to('mps').requires_grad_()
7822 y = cpu_y.detach().clone().to('mps').requires_grad_()
7867 mean_tensor = cpu_mean_tensor.detach().clone().to('mps')
7872 std_tensor = cpu_std_tensor.detach().clone().to('mps')
8128 mps_x = cpu_x.detach().clone().to('mps')
8131 mps_y = cpu_y.detach().clone().to('mps')
8142 mps_s = cpu_s.detach().clone().to('mps')
8147 mps_s = cpu_s.detach().clone().to('mps')
8165 x = cpu_x.detach().clone().to('mps')
8168 y = cpu_y.detach().clone().to('mps')
8201 mps_x = cpu_x.detach().clone().to('mps')
8211 mps_x = cpu_x.detach().clone().to('mps')
8218 mps_x = cpu_x.detach().clone().to('mps')
8238 mps_x = cpu_x.detach().clone().to('mps')
8256 mps_x = cpu_x.detach().clone().to('mps')
8265 mps_x = cpu_x.detach().clone().to('mps')
8267 mps_y = cpu_y.detach().clone().to('mps')
8282 input_mps = input_cpu.detach().clone().to("mps")
8285 other_mps = other_cpu.detach().clone().to("mps")
8300 prob_tensor = cpu_prob_tensor.detach().clone().to('mps')
8338 x = cpu_x.detach().clone().to('mps')
8356 x = cpu_x.detach().clone().to('mps')
8359 other = cpu_other.detach().clone().to('mps')
8379 x = cpu_x.detach().clone().to('mps')
8382 other = cpu_other.detach().clone().to('mps')
8403 x = cpu_x.detach().clone().to('mps')
8406 other = cpu_other.detach().clone().to('mps')
8446 mps_x = cpu_x.detach().clone().to('mps')
8480 A_mps = A.clone().detach().to('mps')
8481 B_mps = B.clone().detach().to('mps')
8517 input_mps = input_cpu.detach().clone().to('mps').requires_grad_()
8518 target_mps = target_cpu.detach().clone().to('mps')
8617 input_mps = input.detach().clone().to('mps').requires_grad_()
8618 target_mps = target.detach().clone().to('mps')
8637 input_mps = input.detach().clone().to('mps').requires_grad_()
8638 target_mps = target.detach().clone().to('mps')
8685 input_ = input_dev.detach()
8708 x = cpu_x.detach().clone().to('mps')
8993 A_mps = A.detach().clone().to("mps")
9013 x = x.detach().requires_grad_()
9025 … self.assertFalse(grad.detach().isnan().any().item(), 'NaN gradients returned by autograd')
9052 input_mps = input_cpu.detach().clone().to("mps")
9061 input_mps = input_cpu.detach().clone().to("mps")
9069 k_mps = k_cpu.detach().clone().to("mps")
9072 x_mps = x_cpu.detach().clone().to("mps")
9084 inputMPS = inputCPU.detach().clone().to('mps')
9093 inputMPS = inputCPU.detach().clone().to('mps').requires_grad_()
9440 q_cpu = q.cpu().detach().cpu().requires_grad_(requires_grad)
9585 mps_x = cpu_x.detach().clone().to('mps')
9987 a_ref = a.clone().detach().requires_grad_()
10024 # .detach() makes y not a view, but contig tensor
10026 y = x[1].detach()
10421 a_mps = a_cpu.detach().clone().to("mps")
10462 … conv_mps.weight.data = conv_cpu.weight.data.detach().clone().to("mps").requires_grad_(True)
10463 conv_mps.bias.data = conv_cpu.bias.data.detach().clone().to("mps").requires_grad_(True)
10468 … x_mps = data.permute(0, 2, 1).detach().clone().to("mps").contiguous().requires_grad_(True)
10490 a_mps = a_cpu.detach().clone().to("mps")
10501 x_mps = x_cpu.detach().clone().to(device='mps').requires_grad_()
10515 … conv_mps.weight.data = conv_cpu.weight.data.detach().clone().to("mps").requires_grad_()
10516 … conv_mps.bias.data = conv_cpu.bias.data.detach().clone().to("mps").requires_grad_()
10539 m_mps.weight.data = m_cpu.weight.data.detach().clone().to("mps").requires_grad_()
10540 m_mps.bias.data = m_cpu.bias.data.detach().clone().to("mps").requires_grad_()
10543 input_mps = input_cpu.detach().clone().to("mps")
10558 input_mps = input_cpu.detach().clone().to("mps")
10562 …downsample_mps.weight.data = downsample_cpu.weight.data.detach().clone().to("mps").requires_grad_()
10563 … downsample_mps.bias.data = downsample_cpu.bias.data.detach().clone().to("mps").requires_grad_()
10567 … upsample_mps.weight.data = upsample_cpu.weight.data.detach().clone().to("mps").requires_grad_()
10568 upsample_mps.bias.data = upsample_cpu.bias.data.detach().clone().to("mps").requires_grad_()
10663 …input_mps = input_cpu.detach().transpose(0, 1).to("mps").transpose(0, 1).requires_grad_(input_requ…
10664 grid_mps = get_grid('mps', grid_cpu.detach()).requires_grad_()
10988 x_mps = x_cpu.detach().clone().to("mps")
10998 x_mps = x_cpu.detach().clone().to("mps")
11001 rows_mps = rows_cpu.detach().clone().to("mps")
11004 cols_mps = cols_cpu.detach().clone().to("mps")
11016 x_mps = x_cpu.detach().clone().to("mps")
11032 x_mps = x_cpu.detach().clone().to("mps")
11046 x_mps = x_cpu.detach().clone().to("mps")
11077 x_mps = x_cpu.detach().clone().to("mps")
11397 out = scripted_fn1(data.detach().clone())
11400 out = scripted_fn2(data.detach().clone())
12129 …lambda x: x.detach().to("mps").requires_grad_(x.requires_grad) if isinstance(x, torch.Tensor) else…
12171 …lambda x: x.detach().to("mps").requires_grad_(x.requires_grad) if isinstance(x, torch.Tensor) else…