Returns a Tensor of size size filled with uninitialized data. Returns a Tensor of size size filled with fill_value. Returns a new Tensor with data as the tensor data. mH ¶Īccessing this property is equivalent to calling adjoint(). X.mT is equivalent to x.transpose(-2, -1). Returns a view of this tensor with the last two dimensions transposed. MH: An attribute that also works on batches of matrices. Torch.Tensor is an alias for the default tensor type ( torch.FloatTensor).
Currently it’s only supported in EmbeddingBag operator. Quantized 4-bit integer is stored as a 8-bit signed integer. Useful when range is important, since it has the same Sometimes referred to as Brain Floating Point: uses 1 sign, 8 exponent, and 7 Useful when precision is important at the expense of range. Sometimes referred to as binary16: uses 1 sign, 5 exponent, and 10 Torch defines 10 tensor types with CPU and GPU variants which are as follows: Extending torch.func with autograd.Function.CPU threading and TorchScript inference.CUDA Automatic Mixed Precision examples.
