addbmm(beta=1, alpha=1, batch1, batch2) → Tensor addbmm_(beta=1, alpha=1, batch1, batch2) → Tensor addcdiv(value=1, tensor1, tensor2) → Tensor addcdiv_(value=1, tensor1, tensor2) → Tensor addcmul(value=1, tensor1, tensor2) → Tensor addcmul_(value=1, tensor1, tensor2...
addbmm_(beta=1, mat, alpha=1, batch1, batch2) → Tensor addbmm()的in-place运算形式 addcdiv(value=1, tensor1,tensor2) → Tensor 请查看torch.addcdiv() addcdiv_(value=1,tensor1, tensor2) → Tensor addcdiv()的in-place运算形式 addcmul(value=1, tensor1, tensor2) → Tensor 请查看torch...
具体来说,对于src中的每个值,其在张量self中的输出索引由其dimension != dim处的索引值和其对应在张量index中dimension= dim处的值所组成(这句话比较绕,看公式和下面的例子可以帮助理解)。 Writes all values from the tensor src into self at the indices specified in the index tensor. For each value in...
因此tensor.new_tensor(x) 等效于 x.clone().detach();tensor.new_tensor(x,requires_grad=True)等效于x.clone().detach().requires_grad_(True)。建议使用clone()和 detach()。 2new_full(size,fill_value,dtype=None,device=None,requires_grad=False)→ Tensor 返回size大小的值为fill_value的tensor。默...
add_(value) add()的in-place运算形式 addbmm(beta=1, mat, alpha=1, batch1, batch2) → Tensor 请查看torch.addbmm() addbmm_(beta=1, mat, alpha=1, batch1, batch2) → Tensor addbmm()的in-place运算形式 addcdiv(value=1, tensor1, tensor2) → Tensor ...
4、max_queue (int) –在“add”调用之一强制刷新到磁盘之前,挂起事件和摘要的队列大小。 默认为十项。 5、flush_secs (int) – 将挂起的事件和摘要刷新到磁盘的频率(以秒为单位)。 默认为每两分钟。 6、filename_suffix (string) – 添加到 log_dir 目录中所有事件文件名的后缀。有关 tensorboard.summary...
Named Tensors using First-class Dimensions in PyTorch -- Zachary DeVito @Zachary_DeVito An implementation of named tensors with the functionality of einsum , batching (vmap, xmap), and tensor indexing by adding dimension objects to PyTorch. The tensor input to a resnet might have the shape [...
当前我们的混合的参数都需要传递，如果都需要全部传递可以使用 @arguments，@arguments 代表着就是你传入的...
Add a function calledtorch.linalg.vector_norm, which computes the vector norm of an input with more than one dimension. Motivation torch.normhas the ability to compute vector norms of n-dimensional inputs, buttorch.linalg.normdoes not. In order to deprecatetorch.norm(issue#49907), we need ...
as this tensor is an index into the sequence_length dimension of the target. Returns --- selected : ``torch.Tensor``, required. ATensorof shape (batch_size, set_size, subset_size, embedding_size). """ifindices.dim() !=2:raiseConfigurationError("Indices passed to flattened_index_select ...