yosys/docs/source/yosys_internals/extending_yosys/functional_ir.rst

216 lines
9.7 KiB
ReStructuredText

Writing a new backend using FunctionalIR
========================================
What is FunctionalIR
--------------------
To simplify the writing of backends for functional languages or similar targets,
Yosys provides an alternative intermediate representation called FunctionalIR
which maps more directly on those targets.
FunctionalIR represents the design as a function ``(inputs, current_state) ->
(outputs, next_state)``. This function is broken down into a series of
assignments to variables. Each assignment is a simple operation, such as an
addition. Complex operations are broken up into multiple steps. For example, an
RTLIL addition will be translated into a sign/zero extension of the inputs,
followed by an addition.
Like SSA form, each variable is assigned to exactly once. We can thus treat
variables and assignments as equivalent and, since this is a graph-like
representation, those variables are also called "nodes". Unlike RTLIL's cells
and wires representation, this representation is strictly ordered (topologically
sorted) with definitions preceding their use.
Every node has a "sort" (the FunctionalIR term for what might otherwise be
called a "type"). The sorts available are
- ``bit[n]`` for an ``n``-bit bitvector, and
- ``memory[n,m]`` for an immutable array of ``2**n`` values of sort ``bit[m]``.
In terms of actual code, Yosys provides a class ``Functional::IR`` that
represents a design in FunctionalIR. ``Functional::IR::from_module`` generates
an instance from an RTLIL module. The entire design is stored as a whole in an
internal data structure. To access the design, the ``Functional::Node`` class
provides a reference to a particular node in the design. The ``Functional::IR``
class supports the syntax ``for(auto node : ir)`` to iterate over every node.
``Functional::IR`` also keeps track of inputs, outputs and states. By a "state"
we mean a pair of a "current state" input and a "next state" output. One such
pair is created for every register and for every memory. Every input, output and
state has a name (equal to their name in RTLIL), a sort and a kind. The kind
field usually remains as the default value ``$input``, ``$output`` or
``$state``, however some RTLIL cells such as ``$assert`` or ``$anyseq`` generate
auxiliary inputs/outputs/states that are given a different kind to distinguish
them from ordinary RTLIL inputs/outputs/states.
- To access an individual input/output/state, use ``ir.input(name, kind)``,
``ir.output(name, kind)`` or ``ir.state(name, kind)``. ``kind`` defaults to
the default kind.
- To iterate over all inputs/outputs/states of a certain kind, methods
``ir.inputs``, ``ir.outputs``, ``ir.states`` are provided. Their argument
defaults to the default kinds mentioned.
- To iterate over inputs/outputs/states of any kind, use ``ir.all_inputs``,
``ir.all_outputs`` and ``ir.all_states``.
- Outputs have a node that indicate the value of the output, this can be
retrieved via ``output.value()``.
- States have a node that indicate the next value of the state, this can be
retrieved via ``state.next_value()``. They also have an initial value that is
accessed as either ``state.initial_value_signal()`` or
``state.initial_value_memory()``, depending on their sort.
Each node has a "function", which defines its operation (for a complete list of
functions and a specification of their operation, see ``functional.h``).
Functions are represented as an enum ``Functional::Fn`` and the function field
can be accessed as ``node.fn()``. Since the most common operation is a switch
over the function that also accesses the arguments, the ``Node`` class provides
a method ``visit`` that implements the visitor pattern. For example, for an
addition node ``node`` with arguments ``n1`` and ``n2``, ``node.visit(visitor)``
would call ``visitor.add(node, n1, n2)``. Thus typically one would implement a
class with a method for every function. Visitors should inherit from either
``Functional::AbstractVisitor<ReturnType>`` or
``Functional::DefaultVisitor<ReturnType>``. The former will produce a compiler
error if a case is unhandled, the latter will call ``default_handler(node)``
instead. Visitor methods should be marked as ``override`` to provide compiler
errors if the arguments are wrong.
Utility classes
~~~~~~~~~~~~~~~
``functional.h`` also provides utility classes that are independent of the main
FunctionalIR representation but are likely to be useful for backends.
``Functional::Writer`` provides a simple formatting class that wraps a
``std::ostream`` and provides the following methods:
- ``writer << value`` wraps ``os << value``.
- ``writer.print(fmt, value0, value1, value2, ...)`` replaces ``{0}``, ``{1}``,
``{2}``, etc in the string ``fmt`` with ``value0``, ``value1``, ``value2``,
resp. Each value is formatted using ``os << value``. It is also possible to
write ``{}`` to refer to one past the last index, i.e. ``{1} {} {} {7} {}`` is
equivalent to ``{1} {2} {3} {7} {8}``.
- ``writer.print_with(fn, fmt, value0, value1, value2, ...)`` functions much the
same as ``print`` but it uses ``os << fn(value)`` to print each value and
falls back to ``os << value`` if ``fn(value)`` is not legal.
``Functional::Scope`` keeps track of variable names in a target language. It is
used to translate between different sets of legal characters and to avoid
accidentally re-defining identifiers. Users should derive a class from ``Scope``
and supply the following:
- ``Scope<Id>`` takes a template argument that specifies a type that's used to
uniquely distinguish variables. Typically this would be ``int`` (if variables
are used for ``Functional::IR`` nodes) or ``IdString``.
- The derived class should provide a constructor that calls ``reserve`` for
every reserved word in the target language.
- A method ``bool is_legal_character(char c, int index)`` has to be provided
that returns ``true`` iff ``c`` is legal in an identifier at position
``index``.
Given an instance ``scope`` of the derived class, the following methods are then
available:
- ``scope.reserve(std::string name)`` marks the given name as being in-use
- ``scope.unique_name(IdString suggestion)`` generates a previously unused name
and attempts to make it similar to ``suggestion``.
- ``scope(Id id, IdString suggestion)`` functions similar to ``unique_name``,
except that multiple calls with the same ``id`` are guaranteed to retrieve the
same name (independent of ``suggestion``).
``sexpr.h`` provides classes that represent and pretty-print s-expressions.
S-expressions can be constructed with ``SExpr::list``, for example ``SExpr expr
= SExpr::list("add", "x", SExpr::list("mul", "y", "z"))`` represents ``(add x
(mul y z))`` (by adding ``using SExprUtil::list`` to the top of the file,
``list`` can be used as shorthand for ``SExpr::list``). For prettyprinting,
``SExprWriter`` wraps an ``std::ostream`` and provides the following methods:
- ``writer << sexpr`` writes the provided expression to the output, breaking
long lines and adding appropriate indentation.
- ``writer.open(sexpr)`` is similar to ``writer << sexpr`` but will omit the
last closing parenthesis. Further arguments can then be added separately with
``<<`` or ``open``. This allows for printing large s-expressions without
needing to construct the whole expression in memory first.
- ``writer.open(sexpr, false)`` is similar to ``writer.open(sexpr)`` but further
arguments will not be indented. This is used to avoid unlimited indentation on
structures with unlimited nesting.
- ``writer.close(n = 1)`` closes the last ``n`` open s-expressions.
- ``writer.push()`` and ``writer.pop()`` are used to automatically close
s-expressions. ``writer.pop()`` closes all s-expressions opened since the last
call to ``writer.push()``.
- ``writer.comment(string)`` writes a comment on a separate-line.
``writer.comment(string, true)`` appends a comment to the last printed
s-expression.
- ``writer.flush()`` flushes any buffering and should be called before any
direct access to the underlying ``std::ostream``. It does not close unclosed
parentheses.
- The destructor calls ``flush`` but also closes all unclosed parentheses.
Example: Adapting SMT-LIB backend for Rosette
---------------------------------------------
Overview
~~~~~~~~
- What is Rosette
- Racket package
- solver-aided programming language
- uses symbolic expressions
- able to perform functional verification
- link to file (both smtlib and rosette)
Scope
~~~~~
- as above, prevents namespace collision
- reserved keywords
- language (Racket) keywords
- output keywords
- ``is_character_legal``
Sort
~~~~
- map variable declarations to s-expressions
- handles signals (bitvectors) and memories (arrays of bitvectors)
Struct
~~~~~~
- helpers for defining inputs/outputs/state
- each is a single (transparent) struct with zero or more fields
- each field has a name, with the type (sort) as a comment
- struct fields in Rosette are accessed as ``<struct_name>-<field_name>``
- field names only need to be unique within the struct, while accessors
are unique within the module
- writing outputs/next state
PrintVisitor
~~~~~~~~~~~~
- map FunctionalIR operations to Rosette
- most functions are the same or very similar to their corresponding smtlib
function
- reading inputs/current state
Module
~~~~~~
- map RTLIL module to FunctionalIR
- iterate over FunctionalIR and map to Rosette
- defines the mapping function, ``(inputs, current_state) -> (outputs,
next_state)``
Backend
~~~~~~~
- registers the `write_functional_rosette` command
- options (``-provides``)
- allows file to be treated as a Racket package with structs and mapping
function available for use externally
- opens and prepares file for writing
- iterates over modules in design