-
Notifications
You must be signed in to change notification settings - Fork 28
Eigen expressions #23
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: master
Are you sure you want to change the base?
Changes from 1 commit
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| - Feature Name: eigen_expressions | ||
| - Start Date: 2020-05-22 | ||
| - RFC PR: (leave this empty) | ||
| - Stan Issue: (leave this empty) | ||
|
|
||
| # Summary | ||
| [summary]: #summary | ||
|
|
||
| Allow all functions in Stan Math to accept and return Eigen expressions. | ||
|
|
||
| # Motivation | ||
| [motivation]: #motivation | ||
|
|
||
| If all functions only accept and return matrices, every function must evaluate all operations it uses within the function. Evaluation of an operation means loading all matrices involved from memory to CPU, computing the opration and storing the result back in memory. For simple operations loading and storing take more time than computations. | ||
|
|
||
| If we instead allow functions to accept and return expressions, the expresssions are only evaluated when strictly necessary. So more operations can be combined into a single expression, before it is evaluated. This results in less memory transfers and faster execution. | ||
|
|
||
| # Guide-level explanation | ||
| [guide-level-explanation]: #guide-level-explanation | ||
|
|
||
| Eigen, the library we are using for matrix computations supports lazy evaluation. That means operations are not imediately evaluated. Instead each operation returns an object that represents this operation and references the arguments to the operation. If those arguments are operations themselves we can build arbitrarily complex expressions. These expressions are evaluated when assigned to a matrix (or `.eval()` is called on it). For example: | ||
|
|
||
| ``` | ||
| Eigen MatrixXd a, b; | ||
| auto expr = a + 3 * b; //not evaluated yet | ||
| MatrixXd c = expr; //now it evaluates | ||
| ``` | ||
|
|
||
| General functions must accept their arguments as templates. Which types are accepted and which are not can be restricted with requires, such as `require_eigen_t<T>`. Now these arguments can be either matrices as before or more general expressions. All functions must be updated to handle this. | ||
|
|
||
| # Reference-level explanation | ||
| [reference-level-explanation]: #reference-level-explanation | ||
|
|
||
| Some expressions can be very expensive to compute (for example matrix multiplication), so they should never be evaluated more than once. So if an expression argument is used more than once in a function, it should be evaluated first and than the computed value should be used. On the other hand some expressions are trivial to compute (for example block). For these it would be better if they are not evaluated, as that would make a copy of underlying data. Eigen solved this dilemma by introducing `Eigen::Ref` class. If a trivial expression is assigned to `Ref` it is just referenced by it. If the expression involves actual computations assigning it to `Ref` evaluates it and stores the result in the `Ref`. In either case `Ref` than can be used more or less the same as a matrix. | ||
|
|
||
| However, `Ref`, behaves weirdly in some situations. Namely its copy constructor does nothing. Instead of using `Ref` we can make a trait metaprogram `to_ref_t<T>` that determines appropriate type to assign an expression to that will behave the same as `Ref`, while also handle copying, moving etc. We can also make a helper function `to_ref` for converting expressions to that type. | ||
|
|
||
| So whenever an input argument, which might be an expression is more than once in a function it should be assigned to a variable of type `to_ref_t<T>`, where `T` is a the type of input argument (or alternatively call `to_ref` on the argument). That variable should be used everywhere in the function instead of directly using the input argument. | ||
|
|
||
| Steps to implement: | ||
| - Generalize all functions to accept general Eigen expressions (already halfway complete at the time of writing this) | ||
| - Test that all functions work with general expressions (this can probably be automated with a script). | ||
|
||
| - Make functions return Eigen expressions wherever it makes sense to do so. (This is for the functions that are exposed to Stan language. Other function can return expresions earlier.) | ||
|
|
||
| # Drawbacks | ||
| [drawbacks]: #drawbacks | ||
|
|
||
| Code complexity increases. Performance affecting bugs are more likely due to some input expression being evaluated multiple times. | ||
|
Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Hmm, somehow the drawback is that bugs keep popping up in unexpected places. I guess if the code magically got more complex to handle that, that's no problem. It seems like the problem is the code doesn't magically get more complicated and we get bugs lol. Anyway I'm not really adding anything here just thinking out loud. |
||
|
|
||
| # Rationale and alternatives | ||
| [rationale-and-alternatives]: #rationale-and-alternatives | ||
|
|
||
| - Only alternative I know of is not changing anything and still evaluatign expressions everywhere. | ||
|
||
|
|
||
| # Prior art | ||
| [prior-art]: #prior-art | ||
|
|
||
| Eigen does it. We also do the same with kernel generator expressions. | ||
|
|
||
| # Unresolved questions | ||
| [unresolved-questions]: #unresolved-questions | ||
|
|
||
| I can't think of any right now. | ||
|
||
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
What's the difference in an
Eigen::Refand an expression? AreEigen::Refs expressions?Uh oh!
There was an error while loading. Please reload this page.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I don't think there is any mathematically exact definition of what is expression. For the functions accepting expressions it is. So are
Eigen::MatrixandEigen::Map.There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Oh so Eigen::Ref will hold things like "this is the sum of two matrices, A, and B".
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Sum is not trivial. So
Refwould evaluate it and hold the result.