PyTorch mapping operators to functions
What are all the PyTorch operators, and what are their function equivalents?
Eg, is a @ b equivalent to a.mm(b) or a.matmul(b)?
I'm after a canonical listing of operator -> function mappings.
I'd be happy to be given a PyTorch documentation link as an answer - my googlefu couldn't track it down.
pytorch
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
add a comment |
What are all the PyTorch operators, and what are their function equivalents?
Eg, is a @ b equivalent to a.mm(b) or a.matmul(b)?
I'm after a canonical listing of operator -> function mappings.
I'd be happy to be given a PyTorch documentation link as an answer - my googlefu couldn't track it down.
pytorch
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
1
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.+and__add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then.@is defined by__matmul__. For the rest you check on this python docs site Hope this is helpful.
– blue-phoenox
Nov 19 '18 at 10:31
@blue-phoenox Given those two links, how do I deduce that@->matmul?
– Tom Hale
Nov 19 '18 at 10:54
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Check this and check this: stackoverflow.com/questions/27385633/… And check for the__matmul__function in the given (first) link.
– blue-phoenox
Nov 19 '18 at 10:56
add a comment |
What are all the PyTorch operators, and what are their function equivalents?
Eg, is a @ b equivalent to a.mm(b) or a.matmul(b)?
I'm after a canonical listing of operator -> function mappings.
I'd be happy to be given a PyTorch documentation link as an answer - my googlefu couldn't track it down.
pytorch
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
What are all the PyTorch operators, and what are their function equivalents?
Eg, is a @ b equivalent to a.mm(b) or a.matmul(b)?
I'm after a canonical listing of operator -> function mappings.
I'd be happy to be given a PyTorch documentation link as an answer - my googlefu couldn't track it down.
pytorch
pytorch
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
edited Nov 19 '18 at 11:25
Tom Hale
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
asked Nov 19 '18 at 7:22
Tom HaleTom Hale
6,6264152
6,6264152
1
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.+and__add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then.@is defined by__matmul__. For the rest you check on this python docs site Hope this is helpful.
– blue-phoenox
Nov 19 '18 at 10:31
@blue-phoenox Given those two links, how do I deduce that@->matmul?
– Tom Hale
Nov 19 '18 at 10:54
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Check this and check this: stackoverflow.com/questions/27385633/… And check for the__matmul__function in the given (first) link.
– blue-phoenox
Nov 19 '18 at 10:56
add a comment |
1
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.+and__add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then.@is defined by__matmul__. For the rest you check on this python docs site Hope this is helpful.
– blue-phoenox
Nov 19 '18 at 10:31
@blue-phoenox Given those two links, how do I deduce that@->matmul?
– Tom Hale
Nov 19 '18 at 10:54
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Check this and check this: stackoverflow.com/questions/27385633/… And check for the__matmul__function in the given (first) link.
– blue-phoenox
Nov 19 '18 at 10:56
1
1
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.
+ and __add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then. @ is defined by __matmul__. For the rest you check on this python docs site Hope this is helpful.– blue-phoenox
Nov 19 '18 at 10:31
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.
+ and __add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then. @ is defined by __matmul__. For the rest you check on this python docs site Hope this is helpful.– blue-phoenox
Nov 19 '18 at 10:31
@blue-phoenox Given those two links, how do I deduce that
@ -> matmul?– Tom Hale
Nov 19 '18 at 10:54
@blue-phoenox Given those two links, how do I deduce that
@ -> matmul?– Tom Hale
Nov 19 '18 at 10:54
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Check this and check this: stackoverflow.com/questions/27385633/… And check for the
__matmul__ function in the given (first) link.– blue-phoenox
Nov 19 '18 at 10:56
Check this and check this: stackoverflow.com/questions/27385633/… And check for the
__matmul__ function in the given (first) link.– blue-phoenox
Nov 19 '18 at 10:56
add a comment |
2 Answers
2
active
oldest
votes
This defines tensor operations for 0.3.1 (it does also contain the definitions of the other operators):
https://pytorch.org/docs/0.3.1/_modules/torch/tensor.html
The code for the current stable has been rearranged (I guess they do more in C now), but since the behaviour of matrix multiplication hasn't changed, I think it is save to assume that this is still valid.
See for the definition of __matmul__:
def __matmul__(self, other):
if not torch.is_tensor(other):
return NotImplemented
return self.matmul(other)
and
def matmul(self, other):
r"""Matrix product of two tensors.
See :func:`torch.matmul`."""
return torch.matmul(self, other)
The operator @ was introduced with PEP 465 and is mapped to __matmul__.
See also here for this:
What is the '@=' symbol for in Python?
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
add a comment |
The Python documentation table Mapping Operators to Functions provides canonical mappings from:
operator -> __function__()
Eg:
Matrix Multiplication a @ b matmul(a, b)
Elsewhere on the page, you will see the __matmul__ name as an alternate to matmul.
The definitions of the PyTorch __functions__ are found either in:
The
torch.Tensormodule documentationpython_variable_methods.cpp
You can look up the documentation for the named functions at:
https://pytorch.org/docs/stable/torch.html?#torch.<FUNCTION-NAME>
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
add a comment |
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2 Answers
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active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
This defines tensor operations for 0.3.1 (it does also contain the definitions of the other operators):
https://pytorch.org/docs/0.3.1/_modules/torch/tensor.html
The code for the current stable has been rearranged (I guess they do more in C now), but since the behaviour of matrix multiplication hasn't changed, I think it is save to assume that this is still valid.
See for the definition of __matmul__:
def __matmul__(self, other):
if not torch.is_tensor(other):
return NotImplemented
return self.matmul(other)
and
def matmul(self, other):
r"""Matrix product of two tensors.
See :func:`torch.matmul`."""
return torch.matmul(self, other)
The operator @ was introduced with PEP 465 and is mapped to __matmul__.
See also here for this:
What is the '@=' symbol for in Python?
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
add a comment |
This defines tensor operations for 0.3.1 (it does also contain the definitions of the other operators):
https://pytorch.org/docs/0.3.1/_modules/torch/tensor.html
The code for the current stable has been rearranged (I guess they do more in C now), but since the behaviour of matrix multiplication hasn't changed, I think it is save to assume that this is still valid.
See for the definition of __matmul__:
def __matmul__(self, other):
if not torch.is_tensor(other):
return NotImplemented
return self.matmul(other)
and
def matmul(self, other):
r"""Matrix product of two tensors.
See :func:`torch.matmul`."""
return torch.matmul(self, other)
The operator @ was introduced with PEP 465 and is mapped to __matmul__.
See also here for this:
What is the '@=' symbol for in Python?
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
add a comment |
This defines tensor operations for 0.3.1 (it does also contain the definitions of the other operators):
https://pytorch.org/docs/0.3.1/_modules/torch/tensor.html
The code for the current stable has been rearranged (I guess they do more in C now), but since the behaviour of matrix multiplication hasn't changed, I think it is save to assume that this is still valid.
See for the definition of __matmul__:
def __matmul__(self, other):
if not torch.is_tensor(other):
return NotImplemented
return self.matmul(other)
and
def matmul(self, other):
r"""Matrix product of two tensors.
See :func:`torch.matmul`."""
return torch.matmul(self, other)
The operator @ was introduced with PEP 465 and is mapped to __matmul__.
See also here for this:
What is the '@=' symbol for in Python?
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
This defines tensor operations for 0.3.1 (it does also contain the definitions of the other operators):
https://pytorch.org/docs/0.3.1/_modules/torch/tensor.html
The code for the current stable has been rearranged (I guess they do more in C now), but since the behaviour of matrix multiplication hasn't changed, I think it is save to assume that this is still valid.
See for the definition of __matmul__:
def __matmul__(self, other):
if not torch.is_tensor(other):
return NotImplemented
return self.matmul(other)
and
def matmul(self, other):
r"""Matrix product of two tensors.
See :func:`torch.matmul`."""
return torch.matmul(self, other)
The operator @ was introduced with PEP 465 and is mapped to __matmul__.
See also here for this:
What is the '@=' symbol for in Python?
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
answered Nov 19 '18 at 11:08
blue-phoenoxblue-phoenox
4,04691543
4,04691543
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
add a comment |
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
1
1
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
Cheers! FYI, I think I found the canonical answer
– Tom Hale
Nov 19 '18 at 11:24
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
@TomHale That's of course preferable! :)
– blue-phoenox
Nov 19 '18 at 11:27
add a comment |
The Python documentation table Mapping Operators to Functions provides canonical mappings from:
operator -> __function__()
Eg:
Matrix Multiplication a @ b matmul(a, b)
Elsewhere on the page, you will see the __matmul__ name as an alternate to matmul.
The definitions of the PyTorch __functions__ are found either in:
The
torch.Tensormodule documentationpython_variable_methods.cpp
You can look up the documentation for the named functions at:
https://pytorch.org/docs/stable/torch.html?#torch.<FUNCTION-NAME>
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
add a comment |
The Python documentation table Mapping Operators to Functions provides canonical mappings from:
operator -> __function__()
Eg:
Matrix Multiplication a @ b matmul(a, b)
Elsewhere on the page, you will see the __matmul__ name as an alternate to matmul.
The definitions of the PyTorch __functions__ are found either in:
The
torch.Tensormodule documentationpython_variable_methods.cpp
You can look up the documentation for the named functions at:
https://pytorch.org/docs/stable/torch.html?#torch.<FUNCTION-NAME>
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
add a comment |
The Python documentation table Mapping Operators to Functions provides canonical mappings from:
operator -> __function__()
Eg:
Matrix Multiplication a @ b matmul(a, b)
Elsewhere on the page, you will see the __matmul__ name as an alternate to matmul.
The definitions of the PyTorch __functions__ are found either in:
The
torch.Tensormodule documentationpython_variable_methods.cpp
You can look up the documentation for the named functions at:
https://pytorch.org/docs/stable/torch.html?#torch.<FUNCTION-NAME>
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
The Python documentation table Mapping Operators to Functions provides canonical mappings from:
operator -> __function__()
Eg:
Matrix Multiplication a @ b matmul(a, b)
Elsewhere on the page, you will see the __matmul__ name as an alternate to matmul.
The definitions of the PyTorch __functions__ are found either in:
The
torch.Tensormodule documentationpython_variable_methods.cpp
You can look up the documentation for the named functions at:
https://pytorch.org/docs/stable/torch.html?#torch.<FUNCTION-NAME>
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
edited Nov 19 '18 at 11:23
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
answered Nov 19 '18 at 11:17
Tom HaleTom Hale
6,6264152
6,6264152
add a comment |
add a comment |
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1
Got you! I will check and see if I find something, but I'm afraid there is no (official) doc link for this.
– blue-phoenox
Nov 19 '18 at 9:45
Even though it is not that clear as a Doc Link, here are the actual definitions of the operators i.e.
+and__add__: github.com/pytorch/pytorch/blob/… is not the current version, I haven't found such a clear definition in the current version, but I guess there hasn't changed too much) So you can check what is called then.@is defined by__matmul__. For the rest you check on this python docs site Hope this is helpful.– blue-phoenox
Nov 19 '18 at 10:31
@blue-phoenox Given those two links, how do I deduce that
@->matmul?– Tom Hale
Nov 19 '18 at 10:54
Strange, I've had two answers which were deleted, but no question upvotes yet. It's worth answering but not upvoting?
– Tom Hale
Nov 19 '18 at 10:55
Check this and check this: stackoverflow.com/questions/27385633/… And check for the
__matmul__function in the given (first) link.– blue-phoenox
Nov 19 '18 at 10:56