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Fixed doc for var/std.

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Clement Farabet
2012-08-31 11:33:26 -04:00
parent 7afb67b23e
commit 358203e655
1 changed files with 7 additions and 13 deletions
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dok/maths.dok
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@ -984,17 +984,13 @@ a specific dimension ''d'', in **descending** order.
==== [res] torch.std([res,] x, [flag] [dim]) ====
{{anchor:torch.std}}
''y=torch.std(x)'' returns the standard deviation of the elements of
x.
''y=torch.std(x)'' returns the standard deviation of the elements of x.
''torch.std(x)'' normalizes by (n-1) where n is the number of elements.
''y=torch.std(x,dim)'' performs the std operation over the dimension dim.
''y=torch.std(x,true)'' performs the std operation normalizing by n instead of n-1.
''y=torch.std(x,false)'' performs the std operation normalizing by n-1.
''y=torch.std(x,flag,n)'' performs the std operation over the dimension n.
''y=torch.std(x,dim,false)'' performs the std operation normalizing by n-1 (this is the default).
''y=torch.std(x,dim,true)'' performs the std operation normalizing by n instead of n-1.
==== [res] torch.sum([res,] x) ====
{{anchor:torch.sum}}
@ -1009,13 +1005,11 @@ x.
''y=torch.var(x)'' returns the variance of the elements of x.
''torch.var(x)'' normalizes by (n-1) where n is the number of elements.
''y=torch.var(x,dim)'' performs the var operation over the dimension dim.
''y=torch.var(x,true)'' performs the var operation normalizing by n instead of n-1.
''y=torch.var(x,dim,false)'' performs the var operation normalizing by n-1 (this is the default).
''y=torch.var(x,false)'' performs the var operation normalizing by n-1.
''y=torch.var(x,flag,n)'' performs the var operation over the dimension n.
''y=torch.var(x,dim,true)'' performs the var operation normalizing by n instead of n-1.
===== Matrix-wide operations (tensor-wide operations) =====
{{anchor:torch.matrixwide.dok}}