从列表和数组创建:torch.tensor(),torch.as_tensor() 特殊Tensor:torch.zeros(),torch.ones(),torch.rand(),torch.randn() 从NumPy数组创建Tensor:torch.from_numpy() 2.3Tensor操作 基本算术操作:加、减、乘、除等 形状操作:view(),reshape(),squeeze(),unsqueeze() 索引和切片 聚合操作:sum(),mean(),ma...
xq, xk, xv = self.wq(x), self.wk(x), self.wv(x)# Use -1 instead of `n_heads` (or `n_kv_heads`) to infer the actual # local heads from sizes of xq, xk, and xv as TP may have sharded them # after the above linear ops. xq = xq.view(bs, seqlen, -1, self.head_...
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BCELoss(weight=weights, reduction='sum') else: loss_funct = nn.BCELoss() return loss_funct(x, y) Example #12Source File: gdqn.py From KG-A2C with MIT License 6 votes def __init__(self, params): configure_logger(params['output_dir']) log('Parameters {}'.format(params)) self....
self.cast_weight(device) return self._apply(lambda t: t.npu(device)) def to(self, *args, **kwargs): device, dtype, non_blocking, convert_to_format = torch._C._nn._parse_to(*args, **kwargs) if dtype is not None: if not (dtype.is_floating_point or dtype.is_complex)...
其他:例如torch.complex64,torch.complex128 使用tensor.dtype属性可以查看Tensor的数据类型,而创建Tensor时可以使用dtype参数来指定数据类型。 2.2创建Tensor 从列表和数组创建:torch.tensor(),torch.as_tensor() 特殊Tensor:torch.zeros(),torch.ones(),torch.rand(),torch.randn() ...
view(-1, 1) theta = theta + (theta < 0).type_as(theta) * (2 * PI) if self.norm: rho = rho / (rho.max() if self.max is None else self.max) theta = theta / (2 * PI) polar = torch.cat([rho, theta], dim=-1) if pseudo is not None and self.cat: pseudo = pseudo...
# 需要导入模块: import torch [as 别名]# 或者: from torch importasin[as 别名]def__init__(self, in_size, out_size, bias=True, complex=False, tied_weight=True, increasing_stride=True, ortho_init=False):super().__init__() self.in_size = in_size ...
Issues such as low birth weight, gestational diabetes, preeclampsia, breech presentation, delivery by cesarean section, complicated delivery, and a family history of cryptorchidism increase the infant's risk of cryptorchidism.20–27 Cryptorchidism is a common congenital anomaly, with an incidence of ...
An environment to use as the parent of newly-created objects. Examples if (torch_is_installed()) { ids <- iterable_dataset( name = "hello", initialize = function(n = 5) { self$n <- n self$i <- 0 }, .iter = function() { i <- 0 function() { i <<- i + 1 if (i >...