tensor=torch.rand(3,4)print(f"Shape of tensor: {tensor.shape}")print(f"Datatype of tensor: {tensor.dtype}")print(f"Device tensor is stored on: {tensor.device}")---------------------------------------------------
Returns a tensor with the same data and number of elements asinput(返回与输入具有相同数据和元素数量的张量)but with the specified shape(但是具有指定形状). When possible, the returned tensor will be a view ofinput(如果可能,返回的张量将是输入的视图,也就是说原本的tensor并没有被改变,如果想要改变...
Those functions, like torch.Tensor.expand(), are easier to read and are therefore more advisable to use. Parameters input (Tensor)– the input tensor. size (tuple or ints)– the shape of the output tensor stride (tuple or ints)– the stride of the output tensor storage_offset (...
The shape of the tensor isdefinedby the variable argument:attr:`size`.Args:size (int...): a sequence of integers defining the shape of the output tensor. Can be a variable number of argumentsora collection like a listortuple. Keywordargs:generator (:class:`torch.Generator`, optional): a...
Tensor的接口设计与numpy类似,从接口的角度讲,对Tensor的操作可分为两类:(1)torch.function,如:torch.save等。(2)tensor.function,如:tensor.view等。为方便使用,对tensor的大部分操作同时支持这两种接口,如:torch.sum(a,b)与a.sum(b)功能等价;从存储的角度讲,对Tensor的操作又可分为两类:(1)不会修改自身...
(self.in_proj.weight)}") x=self.relu(x) rank_log(_rank, logger, f"relu {x.shape} ") x=self.out_proj(x) rank_log(_rank, logger, f"out_proj {x.shape} {self.out_proj}") return x """ Main body of the demo of a basic version of tensor parallel by using PyTorch native ...
tensor=torch.rand(3,4) print(f"Shape of tensor:{tensor.shape}") # 这条语句等效于 print("Shape of tensor:{}".format(tensor.shape))
outputcontains the output of the traced function in itsargs[0]attribute. This corresponds to the “return” statement in the Graph printout. 相比torchscript的IR,FX的可就简单多了,我们理解使用起来也很简单。 symbolic tracer 回到一开头示例的那段代码,其中有一行是symbolic_traced : torch.fx.GraphModule...
This is very helpful for some types of tensors such as Categorical Mask and Optical Flows. Currently, Torchshow displays the following information: Mode: Visualization Mode. Shape: Shape of the tensor. X, Y: The pixel location of the mouse cursor. Raw: The raw tensor value at (X, Y)....
ValueError: Trying to set a tensor of shape torch.Size([0]) in "weight" (which has shape torch.Size([151860, 1024])), this look incorrect. 命令如下: python3 GOT/demo/run_ocr_2.0.py --model-name ./GOT-OCR2.0/sft/ --image-file ./1.jpg --type ocr ...