报错: can’t optimize a non-leaf Tensor 解决方案 需要先把Tensor放入到GPU中,然后再设置Tensor.requires_grad=True。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from torchimportoptim weights=torch.rand(2,1,128,416)weights=weights.cuda()weights.requires_grad=True optimizer=optim.Adam([weights...
Pytorch cant optimize a non-leaf Tensor 本文记录 pytorch: can’t optimize a non-leaf Tensor 解决方案。...weights.requires_grad = True weights = weights.cuda() optimizer = optim.Adam([weights], lr=0.01) 报错: can’t optimize 1.3K30 您找到你想要的搜索结果了吗? 是的 没有找到 编译optimize...
ValueError: can't optimize a non-leaf Tensor """ 检查: model.p.is_leaf # Truelist(model.p.is_leaf)# False list使is_leaf = False # 正确写法param=list(model.layers.parameters())param.append(model.p)
# This should not error: we mutated an autograd leaf under no_grad mode. aot_fn(x, y) @@ -107,7 +107,7 @@ def fn(_stack0: torch.Tensor, diagonal_chunked_attention_scores: torch.Tensor): x = torch.randn(torch.Size([12, 4, 256, 513])) y = torch.randn(torch.Size([12, 3...
(key proofs and formulas that explained common real-world occurrences), whereas the practical aspect better acquainted me with how libraries such as PyTorch work in the backend (leaf tensors and views) andimportant practical considerations when converting a theoretical optimizer into raw flesh and ...
# This should not error: we mutated an autograd leaf under no_grad mode. aot_fn(x, y) @@ -107,7 +107,7 @@ def fn(_stack0: torch.Tensor, diagonal_chunked_attention_scores: torch.Tensor): x = torch.randn(torch.Size([12, 4, 256, 513])) y = torch.randn(torch.Size([12, 3...