import torch a = torch.rand(4,3) print(a.dtype, a.device) print(torch.get_default_dtype()) # torch.float32 cpu # torch.float32 torch.set_default_tensor_type(torch.cuda.FloatTensor) b = torch.rand(2,3) print(b.dtype, b.device) print(torch.get_default_dtype()) # torch.float32 ...
torch.masked_select(input, mask, out=None) → Tensor/masked_select(mask) 注意所有mask都为torch.ByteTensor,同时需要注意mask的shape不一定要和tensor相同数量也不一定要相同,shape中必须有一个轴要和tensor的轴对应,此时按此轴索引 a = torch.Tensor([[1,2,3],[4,5,6]]) mask = torch.Tensor([[1...
*args): ''' 打印姓名，年龄，性别 ''' print(name) print(age) prin...
importtorch#查看tensor默认数据类型print(torch.tensor([1,1]).dtype)print(torch.tensor([1.1,2]).dtype) torch.int64 torch.float32 # 设置指定类型torch.set_default_dtype(torch.float64)torch.tensor([1.1,2]).dtype torch.float64 #还可以通过下面形式设置torch.set_default_tensor_type(torch.FloatTensor...
typedefenumDML_TENSOR_TYPE { DML_TENSOR_TYPE_INVALID, DML_TENSOR_TYPE_BUFFER } ; Constants DML_TENSOR_TYPE_INVALID Indicates an unknown tensor description type. This value is never valid. DML_TENSOR_TYPE_BUFFER Indicates a tensor description that is represented by a Direct3D 12 buffer. The cor...
原型:type_as(tensor)按给定的tensor确定转换的数据类型–如果类型相同则不做改变–否则改为传入的tensor类型–并返回类型改变的tensor数据。 data = torch.ones(2, 2) data_float = torch.randn(2, 2) # 这里的数据类型为torch.float64 print(data.dtype) #result: torch.int64 # 可能在操作过程中指定其他...
type_as()函数的基本用法是type_as(tensor)，它的工作原理是检查输入的tensor的当前类型，如果与目标类型一致，它会保持原样；如果不同，它会将输入tensor的数据类型转换为目标类型。这样做可以确保在需要时，两个tensor的数据类型保持一致，这对于进行运算或合并不同类型的tensor非常有用。举个例子，如果...
tensor([[1., 1., 1.],[1., 1., 1.]])>>> b = a.type(dtype='torch.DoubleTensor')>>> b tensor([[1., 1., 1.],[1., 1., 1.]], dtype=torch.float64)>>> b.type()'torch.DoubleTensor'>>> b.dtype torch.float64>>> ...
Description This requires re-introducing the broadcastable flags as independent from shape. It seems needed to: Not force static shape to be unknown Not change the meaning of the graph accidentally due to shape inference / rewrites Affec...
参考地址1:https://stackoverflow.com/questions/35747651/the-type-of-variable-returned-by-theano-tensor-cast 参考地址2:https://www.zhihu.com/question/41824160?from=profile_question_card 我在另一个问题回答竟然给我屏蔽了，人家赋值粘贴的竟然是推荐答案，呵呵https://zhidao.baidu.com/...