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`` or ``Functional::DefaultVisitor``. 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`` 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_character_legal(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 --------------------------------------------- This section will walk through the process of adapting the SMT-LIB functional backend (`write_functional_smt2`) to work with another s-expression target, `Rosette`_. .. _Rosette: http://emina.github.io/rosette/ Overview ~~~~~~~~ Rosette is a solver-aided programming language that extends `Racket`_ with language constructs for program synthesis, verification, and more. To verify or synthesize code, Rosette compiles it to logical constraints solved with off-the-shelf `SMT`_ solvers. -- https://emina.github.io/rosette/ .. _Racket: http://racket-lang.org/ .. _SMT: http://smtlib.cs.uiowa.edu/ Full code listings for the initial SMT-LIB backend and the converted Rosette backend are included in the Yosys source repository under :file:`backends/functional` as ``smtlib.cc`` and ``smtlib_rosette.cc`` respectively. Note that the Rosette language is an extension of the Racket language; this guide tends to refer to Racket when talking about the underlying semantics/syntax of the language. Scope ~~~~~ As described above, the ``Functional::Scope`` class is derived in order to avoid collisions between identifiers in the generated output. We switch out ``Smt`` in the class name for ``Smtr`` for ``smtlib_rosette``; which will happen through the rest of the code too. We also update the ``is_character_legal`` method to reject ascii characters which are not allowed in Racket variable names. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: diff of ``Scope`` close :start-at: -struct SmtScope : public Functional::Scope { :end-at: }; For the reserved keywords we trade the SMT-LIB specification for Racket to prevent parts of our design from accidentally being treated as Racket code. We also no longer need to reserve ``pair``, ``first``, and ``second``. In `write_functional_smt2` these are used for combining the ``(inputs, current_state)`` and ``(outputs, next_state)`` into a single variable. Racket provides this functionality natively with ``cons``, which we will see later. .. code-block:: diff :caption: diff of ``reserved_keywords`` list const char *reserved_keywords[] = { - // reserved keywords from the smtlib spec - ... + // reserved keywords from the racket spec + ... // reserved for our own purposes - "pair", "Pair", "first", "second", - "inputs", "state", + "inputs", "state", "name", nullptr }; Note that we skip over the actual list of reserved keywords from both the smtlib and racket specifications to save on space in this document. Sort ~~~~ The ``Sort`` class is a wrapper for the ``Functional::Sort`` class, providing the additional functionality of mapping variable declarations to s-expressions with the ``to_sexpr()`` method. The main change from ``SmtSort`` to ``SmtrSort`` is a syntactical one with signals represented as ``bitvector``\ s, and memories as ``list``\ s of signals. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: diff of ``Sort`` wrapper :start-at: SExpr to_sexpr() const { :end-before: }; Struct ~~~~~~ The SMT-LIB backend uses a class, ``SmtStruct``, to help with describing the input, output, and state data structs. Where each struct in the SMT-LIB output is a new ``datatype`` with each element having its type declared using the `Sort`_ above, in Rosette we use the native ``struct`` with each field only being referred to by name. For ease of use, we include comments for each field to indicate the expected type. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: diff of ``write_definition`` method :start-at: void write_definition :end-before: template void write_value Struct fields in Rosette are accessed as ``-``, where field names only need to be unique within the struct, while accessors are unique within the module. We thus modify the class constructor and ``insert`` method to support this; providing one scope that is local to the struct (``local_scope``) and one which is shared across the whole module (``global_scope``). .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: diff of struct constructor :start-at: - SmtStruct(std::string name, SmtScope &scope) :end-before: void write_definition For writing outputs/next state (the ``write_value`` method), the only change is to remove the check for zero-argument constructors since this is not necessary with Rosette ``struct``\ s. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: diff of ``write_value`` method :start-at: template void write_value :end-before: SExpr access PrintVisitor ~~~~~~~~~~~~ The ``PrintVisitor`` implements the abstract ``Functional::AbstractVisitor`` class for converting FunctionalIR functions into s-expressions, including reading inputs/current state. For most functions, the Rosette output is very similar to the corresponding SMT-LIB function with minor adjustments for syntax. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: portion of ``Functional::AbstractVisitor`` implementation diff showing similarities :start-at: SExpr zero_extend :end-at: SExpr sub However there are some differences in the two formats with regards to how booleans are handled, with Rosette providing built-in functions for conversion. .. literalinclude:: /code_examples/functional/rosette.diff :language: diff :caption: portion of ``Functional::AbstractVisitor`` implementation diff showing differences :start-at: SExpr from_bool :end-before: SExpr extract 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