round() can round the zero or more elements of a 0D or more D tensor up to 4 decimal places, getting the 0D or more D tensor of zero or more elements as shown below:
*Memos:
- round() can be used with torch or a tensor.
- The 1st argument(
input
) withtorch
or using a tensor(Required-Type:tensor
ofint
orfloat
). - The 2nd argument with
torch
or the 1st argument with a tensor isdecimals
(Optional-Default:0
-Type:int
): Memos:- It is a decimal place.
- You must use
decimals=
.
- There is
out
argument withtorch
(Optional-Default:None
-Type:tensor
): *Memos:-
out=
must be used. -
My post explains
out
argument.
-
import torch
my_tensor = torch.tensor([4.735277, -3.370677, 1.888877, -7.888877])
torch.round(input=my_tensor)
my_tensor.round()
torch.round(input=my_tensor, decimals=0)
# tensor([5., -3., 2., -8.])
torch.round(input=my_tensor, decimals=1)
# tensor([4.7000, -3.4000, 1.9000, -7.9000])
torch.round(input=my_tensor, decimals=2)
# tensor([4.7400, -3.3700, 1.8900, -7.8900])
torch.round(input=my_tensor, decimals=3)
# tensor([4.7350, -3.3710, 1.8890, -7.8890])
torch.round(input=my_tensor, decimals=4)
torch.round(input=my_tensor, decimals=5)
torch.round(input=my_tensor, decimals=6)
etc...
# tensor([4.7353, -3.3707, 1.8889, -7.8889])
my_tensor = torch.tensor([4, -3, 1, -7])
torch.round(input=my_tensor)
# tensor([4, -3, 1, -7])
ceil() can round up the zero or more elements of a 0D or more D tensor, getting the 0D or more D tensor of zero or more elements as shown below:
*Memos:
-
ceil()
can be used withtorch
or a tensor. - The 1st argument(
input
) withtorch
or using a tensor(Required-Type:tensor
ofint
orfloat
). - There is
out
argument withtorch
(Optional-Default:None
-Type:tensor
): *Memos:-
out=
must be used. -
My post explains
out
argument.
-
-
ceil()
doesn't havedecimals
argument.
import torch
my_tensor = torch.tensor([4.735277, -3.370677, 1.888877, -7.888877])
torch.ceil(input=my_tensor)
my_tensor.ceil()
# tensor([5., -3., 2., -7.])
my_tensor = torch.tensor([4, -3, 1, -7])
torch.ceil(input=my_tensor)
# tensor([4, -3, 1, -7])
floor() can round down the zero or more elements of a 0D or more D tensor, getting the 0D or more D tensor of zero or more elements as shown below:
*Memos:
-
floor()
can be used withtorch
or a tensor. - The 1st argument(
input
) withtorch
or using a tensor(Required-Type:tensor
ofint
orfloat
). - There is
out
argument withtorch
(Optional-Default:None
:Type:tensor
): *Memos:-
out=
must be used. -
My post explains
out
argument.
-
-
floor()
doesn't havedecimals
argument.
import torch
my_tensor = torch.tensor([4.735277, -3.370677, 1.888877, -7.888877])
torch.floor(input=my_tensor)
my_tensor.floor()
# tensor([4., -4., 1., -8.])
my_tensor = torch.tensor([4, -3, 1, -7])
torch.floor(input=my_tensor)
# tensor([4, -3, 1, -7])
trunc() can truncate the decimal part of zero or more elements of a 0D or more D tensor, getting the 0D or more D tensor of zero or more elements as shown below:
*Memos:
-
trunc()
can be used withtorch
or a tensor. - The 1st argument(
input
) withtorch
or using a tensor(Required-Type:tensor
ofint
orfloat
). - There is
out
argument withtorch
(Optional-Default:None
-Type:tensor
): *Memos:-
out=
must be used. -
My post explains
out
argument.
-
-
trunc()
doesn't havedecimals
argument. -
fix() is the alias of
trunc()
.
import torch
my_tensor = torch.tensor([4.735277, -3.370677, 1.888877, -7.888877])
torch.trunc(input=my_tensor)
my_tensor.trunc()
# tensor([4., -3., 1., -7.])
my_tensor = torch.tensor([4, -3, 1, -7])
torch.trunc(input=my_tensor)
# tensor([4, -3, 1, -7])
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