torch.Tensor()和torch.tensor()写法会导致得到的tensor具有不同的数值类型。具体示例如下:
首先解释下命名THP:应该是torch + python的意思;Variable:历史残留问题,你可以把他看成是Tensor即可;然后我们可以看到THPVariable_initModule函数完成了TensorMeta、TensorBase从C++到python的转换,其中class TensorBase的方法(tensor.xxx)在torch::autograd::variable_methods和extra_methods中;而torch的函数(比如torch.add...
torch/Tensor.chunk(tensor, chunks, dim=0) 将一个tensor在指定维度上分成chunks个数据块,为cat的逆过程,最后一个块可能会小一些,返回的是一个元组,每个元素都是其中一块参数:tensor (Tensor) – 输入Tensor chunks (int) – 分成几块的数量 dim (int) – 沿着哪个维度进行切分 可以看成torch.cat()的逆运...
The torch package contains data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, 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 ...
The torch package contains data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many util...
TypeError: cannot assign 'torch.cuda.BFloat16Tensor' as parameter 'weight' (torch.nn.Parameter or None expected) and RuntimeError: trainer.py 1485 _call_strategy_hook linalg.inv: Low precision dtypes not supported. Got BFloat16 As I said, this two bug will not appear when i set strateg...
test_tensor_b = torch.randn(448, 2048, dtype=torch.bfloat16, device='cuda') # warmup for _ in range(10): result = matmul(test_tensor_a, test_tensor_b, use_torch_compile=False) torch.cuda.synchronize() # timing start_time = time.time() ...
torch.stack(tensors, dim=0, out=None) → Tensor 对tensors 沿指定维度拼接,但会额外增加一维拼接的维度,即拼接时来自于 tensors 中每个 tensor 中的拼接元素单独组成一个维度。 torch.cat(tensors, dim=0, out=None) → Tensor 对tensors 沿指定维度拼接,返回的 Tensor 维度不变,即拼接时直接将 tensor...
scatter_(dim, index, src)将src中数据根据index中的索引按照dim的方向填充进调用scatter_的向量中; 1.dim=0 首先了解,dim=0,表示按行填充,列数不变;scatter_参数中给定的index tensor,两个中括号中数值表示x(2,5)中第一行和第二行下标的数列数不变分别被填充到向量(3,5)的第一行和第二行;数值的下标...
torch GPU vs CPU 0.导读 RuntimeError: Expected object of backend CPU but got backend CUDA for argument #2 'mat2' 运行错误:程序运行后端是CPU,但参数是CUDA 即:需要一个 CPU tensor, 你给的却是个 CUDA tensor 解决以上问题,需要慢慢查找,比较难以确定事发地点,如文章所说。