torch.Tensor.index_fill_(dim, index, value) → Tensor Fills the elements of theselftensor with valuevalueby selecting the indices in the order given inindex. Parameters dim (int)–dimension along which to index
1 torch.Tensor.masked_fill_(mask, value) Fills elements of self tensor with value where mask is True.The shape of mask must be broadcastable with the shape of the underlying tensor. Parameters mask (BoolTensor)– the boolean mask value (float)– the value to fill in with...
将tensor中的所有值都填充为指定的value https://pytorch.org/docs/stable/generated/torch.Tensor.fill_.html torch.Tensor.fill_(value)方法_人类高质量算法工程师的博客-CSDN博客 发布于 2022-08-30 10:52 Torch (深度学习框架) Python 深度学习(Deep Learning) ...
1 torch.Tensor.masked_fill参数详解与使用 1.1 torch.Tensor.masked_fill参数详解 1. 函数形式 2. 函数功能 输入的 m a s k mask mask需要与当前的基础Tensor的形状一致。 将 m a s k mask mask中为True的元素对应的基础Tensor的元素设置为值 v a l u e value value。 3. 函数...pytorch...
torch.nn.init.constant_(tensor, val) 解释: Fills the input Tensor with the value $val$. 参数: tensor – an n-dimensional torch.Tensor val – the value to fill the tensor with 例子: w = torch.empty(2, 2) ...
new_full(size, fill_value, dtype=None, device=None, requires_grad=False)→ Tensor Returns a Tensor of size size filled with fill_value. By default, the returned Tensor has the same torch.dtype and torch.device as this tensor. Parameters fill_value (scalar)– the number to fill the outpu...
torch.full(size, fill_value, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False)→ Tensor Returns a tensor of size size filled with fill_value. Parameters size (int...)– a list, tuple, or torch.Size of integers defining the shape of the output tensor. fil...
torch.addcmul(tensor, value=1, tensor1, tensor2, out=None)→ Tensor用tensor2对tensor1逐元素相乘,并对结果乘以标量值value然后加到tensor。张量的形状不需要匹配,但元素数量必须一致。如果输入是FloatTensor or DoubleTensor类型,则value 必须为实数,否则须为整数。
class torch.Tensor new_tensor(data, dtype=None, device=None, requires_grad=False) → Tensor new_full(size, fill_value, dtype=None, device=None, requires_grad=False) → Tensor new_empty(size, dtype=None, device=None, requires_grad=False) → Tensor ...
返回size大小的值为fill_value的tensor。默认情况下,返回的Tensor与此张量具有相同的torch.dtype和torch.device。 >>> tensor = torch.ones((2,), dtype=torch.float64) >>> tensor.new_full((3, 4), 3.141592) tensor([[ 3.1416, 3.1416, 3.1416, 3.1416], ...