2,理解了gather再看index_select就很简单,函数作用是返回沿着输入张量的指定维度的指定索引号进行索引的张量子集。函数定义如下: torch.index_select(input,dim,index,*,out=None)→Tensor 函数返回一个新的张量,它使用数据类型为LongTensor的index中的条目沿维度dim索引输入张量。返回的张量具有与原始张量(输入)相同的...
one_hot.scatter_(dim=1, index=torch.unsqueeze(tensor, dim=1), src=torch.ones(N, num_classes).long()) 得到非零元素 torch.nonzero(tensor) # index of non-zero elements torch.nonzero(tensor==0) # index of zero elements torch.nonzero(tensor).size(0) # number of non-zero elements tor...
#在PyTorch 1.3之前,需要使用注释 # Tensor[N, C, H, W] images = torch.randn(32, 3, 56, 56) images.sum(dim=1) images.select(dim=1, index=0) # PyTorch 1.3之后 NCHW = [‘N’, ‘C’, ‘H’, ‘W’] images = torch.randn(32, 3, 56, 56, names=NCHW) images.sum('C') imag...
#在PyTorch 1.3之前,需要使用注释# Tensor[N, C, H, W]images = torch.randn(32, 3, 56, 56)images.sum(dim=1)images.select(dim=1, index=0) # PyTorch 1.3之后NCHW = [‘N’, ‘C’, ‘H’, ‘W’]images = torch.randn(32, 3, 56, 56...
TORCH The torch package contains data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it pr
# __getitem__方法：# 参数index表示要获取的图片索引。# 通过索引在self.imgs中找到对应图片的路径。
#在PyTorch 1.3之前,需要使用注释 # Tensor[N, C, H, W] images = torch.randn(32, 3, 56, 56) images.sum(dim=1) images.select(dim=1, index=0) # PyTorch 1.3之后 NCHW = [‘N’, ‘C’, ‘H’, ‘W’] images = torch.randn(32, 3, 56, 56, names=NCHW) images.sum('C') imag...
#在PyTorch 1.3之前,需要使用注释# Tensor[N, C, H, W]images = torch.randn(32, 3, 56, 56)images.sum(dim=1)images.select(dim=1, index=0) # PyTorch 1.3之后NCHW = [‘N’, ‘C’, ‘H’, ‘W’]images = torch.randn(32, 3, 56, 56, names=NCHW)images.sum('C')images.select('...
cuda.device_count() > 1: # Checks for multiple GPUs model = nn.DataParallel(model) # Wraps model for multi-GPU training The code can be broken down as follows: Device Variable: This assigns the first GPU (index 0) as the device if available. If not, it falls back to the CPU. ...
Update torch.squeeze to allow squeezing multiple dimensions at once (#89017) Add support for int32 indices in index/index_put ops (#86309) Enable where to have cpu scalar args (#87022) Add support for NumPy scalars to torch.tensor.asarray (#90914) Update opt_einsum to have more reasona...