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| author | Soumith Chintala <soumith@gmail.com> | 2016-10-24 17:35:27 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-10-24 17:35:27 +0300 |
| commit | 1037772e952e910ece55820683852cf369022a96 (patch) | |
| tree | 954fe800fad1f0de00bd823707181c49dbb5a061 | |
| parent | 1e5a315d03c91286d859512574d3b0b25e12d512 (diff) | |
| parent | 28d5fe23e5fe68b7beb6a0f49ae92ae5914778df (diff) | |
Merge pull request #812 from howard0su/master
Fix the reference so that trepl can find the right document
| -rwxr-xr-x | doc/maths.md | 41 |
1 files changed, 23 insertions, 18 deletions
diff --git a/doc/maths.md b/doc/maths.md index dd427ea..252b52d 100755 --- a/doc/maths.md +++ b/doc/maths.md @@ -362,6 +362,13 @@ For more than 4 dimensions, you can use a storage: `y = torch.zeros(torch.LongSt `x:atan()` replaces all elements in-place with the arctangent of the elements of `x`. +<a name="torch.atan2"></a> +### [res] torch.atan2([res,] x, y) ### +<a name="torch.atan2"></a> + +`y = torch.atan2(x, y)` returns a new `Tensor` with the arctangent of the elements of `x` and `y`. + +`x:atan2()` replaces all elements in-place with the arctangent of the elements of `x` and `y`. <a name="torch.ceil"></a> ### [res] torch.ceil([res,] x) ### @@ -427,20 +434,17 @@ For more than 4 dimensions, you can use a storage: `y = torch.zeros(torch.LongSt This function is more accurate than [`log`](#torch.log) for small values of `x`. -<a name="x:neg"></a> +<a name="torch.neg"></a> ### x:neg() ### -<a name="x:neg"></a> `x:neg()` replaces all elements in-place with the sign-reversed values of the elements of `x`. - -<a name="x:cinv"></a> +<a name="torch.cinv"></a> ### x:cinv() ### -<a name="x:cinv"></a> +<a name="torch.cinv"></a> `x:cinv()` replaces all elements in-place with `1.0 / x`. - <a name="torch.pow"></a> ### [res] torch.pow([res,] x, n) ### <a name="torch.pow"></a> @@ -632,18 +636,17 @@ The number of elements must match, but sizes do not matter. `torch.add(z, x, value, y)` puts the result of `x + value * y` in `z`. -<a name="x:csub"></a> +<a name="torch.csub"></a> ### tensor:csub(value) ### -<a name="x:csub"></a> +<a name="torch.csub"></a> Subtracts the given value from all elements in the `Tensor`, in place. +<a name="torch.csub"></a> +### tensor:csub(tensor2) ### +<a name="torch.csub"></a> -<a name="x:csub"></a> -### tensor1:csub(tensor2) ### -<a name="x:csub"></a> - -Subtracts `tensor2` from `tensor1`, in place. +Subtracts `tensor2` from `tensor`, in place. The number of elements must match, but sizes do not matter. ```lua @@ -2704,36 +2707,38 @@ They return a `ByteTensor` in which each element is `0` or `1` indicating if the Implements `<` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. -<a name="torch.lt"></a> +<a name="torch.le"></a> ### torch.le(a, b) ### Implements `<=` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. -<a name="torch.lt"></a> +<a name="torch.gt"></a> ### torch.gt(a, b) ### Implements `>` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. -<a name="torch.lt"></a> +<a name="torch.ge"></a> ### torch.ge(a, b) ### Implements `>=` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. -<a name="torch.lt"></a> +<a name="torch.eq"></a> ### torch.eq(a, b) ### Implements `==` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. -<a name="torch.lt"></a> +<a name="torch.ne"></a> ### torch.ne(a, b) ### Implements `~=` operator comparing each element in `a` with `b` (if `b` is a number) or each element in `a` with corresponding element in `b`. +<a name="torch.all"></a> +<a name="torch.any"></a> ### torch.all(a) ### ### torch.any(a) ### |