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, device=None, requires_grad=False)→ Tensor Constructs a sparse tensors ...
这里简单列一下FX的IR,很简单,只有六种,大概功能就是调函数、提取attr、获取输入输出等: placeholderrepresents a function input. Thenameattribute specifies the name this value will take on.targetis similarly the name of the argument.argsholds either: 1) nothing, or 2) a single argument denoting the...
on the other hand, is more targeted at moving PyTorch programs outside of Python for deployment purposes. In this sense, FX and TorchScript are orthogonal to each other, and can even be composed with each other (e.g. transform PyTorch programs ...
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.
The std is a tensor with the standard deviation of each output element’s normal distribution The shapes of mean and std don’t need to match, but the total number of elements in each tensor need to be the same. Note When the shapes do not match, the shape of mean is used as the ...
You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. traced 3: False TorchScript 脚本和 FX 跟踪不允许非 PyTorch ...
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((2,), dtype=torch.float64) ...
placeholder represents a function input. The name attribute specifies the name this value will take on. target is similarly the name of the argument. args holds either: 1) nothing, or 2) a single argument denoting the default par...
# DeQuantStub converts tensors from quantized to floating point self.dequant = torch.quantization.DeQuantStub() defforward(self, x): # 自己指定开始量化的层 x = self.quant(x) x = self.conv(x) x = self.relu(x) # 指定结束量化的层 ...
FunctionalTensor: dispatch metadata directly to inner tensor#127927 Closed bdhirshadded a commit that referenced this issueJun 5, 2024 Update base for Update on "FunctionalTensor: dispatch metadata direct…… a5ab7da bdhirshadded a commit that referenced this issueJun 5, 2024 ...