tensor(3.14159) # Create a scalar (zero-dimensional tensor) tensor(3.1416) >>> torch.tensor([]) # Create an empty tensor (of size (0,)) tensor([]) torch.sparse_coo_tensor(indices, values, size=None, dtype=None,
it provides many utilities for efficient serializing of Tensors and arbitrary types, and other useful utilities.It has a CUDA counterpart, that enables you to run your tensor computations on an NVIDIA GPU with compute capability >= 3.0.
import torch # 1、tensor.view调整tensor的形状 a = torch.arange(0, 6) b1 = a.view(2, 3) b2 = a.view(-1, 2) # 当某一维为-1时,回自动计算它的大小 print(b1) print(b2) b3 = b1.unsqueeze(1) print(b3) print(b3.size()) # 注意形状,在第1维(下标从0开始)上增加“1” b4 = ...
Remark:张量名.numpy( )在tensor已经包含梯度的情况下,无法把tensor转化成ndarray,需要先用张量.data读取数据再使用numpy( ). torch.arange(10.0,requires_grad=True).numpy()#RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead.torch.arange(10.0,requires_...
3、new_empty(size,dtype=None,device=None,requires_grad=False)→ Tensor 返回填充了未初始化数据的大小为size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(()) >>> tensor.new_empty((2, 3)) ...
deff(x):returntorch.sqrt(x)ifx.sum()>0elsetorch.square(x)m=torch.jit.trace(f,torch.tensor(3))print(m.code)# 可以打印出trace的情况 #---deff(x:Tensor)->Tensor:returntorch.sqrt(x) 错误示例:将变量视为常量 代码语言:javascript 代码运行次数:0 运行...
The ith\text{i}^{th}ith element of the output tensor will draw a value 111 according to the ith\text{i}^{th}ith probability value given in input. outi∼Bernoulli(p=inputi)\text{out}_{i} \sim \mathrm{Bernoulli}(p = \text{input}_{i}) outi∼Bernoulli(p=inputi) ...
empty(3) Torch.add(x, y, out: result) result # tensor([15, 25, 35]) Numo Convert a tensor to a Numo array a = Torch.ones(5) a.numo Convert a Numo array to a tensor b = Numo::NArray.cast([1, 2, 3]) Torch.from_numo(b) Autograd Create a tensor with requires_grad: ...
(pipe.unet,**settings)image=pipe(prompt,negative_prompt=negative,num_inference_steps=30).images[0]image.save("./without_LoRA_mutable.jpg")# Standard Huggingface LoRA loading procedurepipe.load_lora_weights("stablediffusionapi/load_lora_embeddings",weight_name="moxin.safetensors",adapter_name="...
r"""Returns the current NPU memory occupied by tensors in bytes for a given device. Arguments: device (torch.device or int, optional): selected device. Returns statistic for the current device, given by :func:`~torch_npu.npu.current_device`, if :attr:`device` is ``None`` (de...