Compute the u16 representation of encoding lists and emit a big table
concatenating all of them. Use the UniqueSeqTable to share some table space
between CPU modes.
We need to generate hash tables keyed by types, so the Python scripts need to
know the index used to represent types in Rust code.
To enforce this, add a new gen_types.py script which generates constant
definitions for the ir/types module.
Also generate constants for common SIMD vector sizes.
Amend build script to generate an encodings-<isa>.rs file for each target ISA.
Emit a function that can evaluate instruction predicates.
Describe the 3-level tables used for representing insrruction encoding tables.
Add Python classes representing the tables.
The generated code is incomplete and not used anywhere yet.
When generating Rust code for an instruction predicate, call the corresponding
function in the predicates module, using a qualified name.
We don't have methods corresponding to the predicates.
This collects all of the leaf predicates that go into a compound predicate.
Current leaf predicates are:
- Settings for ISA predicates, and
- FieldPredicates for instruction predicates.
Add new instruction predicates to support the 'I' encoding recipe: IsSignedInt,
IsUnsignedInt used to test that an immediate operand is in the allowed range.
Each InstructionFormat instance gets data members corresponding to its immediate
operands, so the can be referred to as BinaryImm.imm, for example.
This will be used to construct instruction predicates.
Usually an instruction firmat has only a single immediate operand called 'imm',
or 'cond' if it is one of the condigtion codes. Add a 'default_member' field to
ImmediateKind to keep track of this default member name in the InstructionData
struct.
We have multiple pre-computed constant hash tables that all use the same
quadratic probing algorithm.
Add a constant_hash Rust module to match the meta/constant_hash.py module.
Move the simple_hash() function into constant_hash. Its Python equivalent is in
the constant_hash.py module.
The integration tests use both libcretonne and libreader, so moving them avoids
the circular dev-dependency.
Also go back to building everything under src/tools/target to avoid rebuilding
the libraries when cargo is invoked in different subdirectories. This speeds up
test-all.sh quite a bit.
Finally, skip the pure debug build. We build "cargo test" and "cargo build
--release" which should cover everything we need.
Predcates are boolean functions. There will be ISA predicates and instruction
predicates.
The ISA predicates will be turned into member functions on the generated Flags
structs.
Add an isa::lookup() function which serves as a target registry for creating
Box<TargetIsa> trait objects.
An isa::Builder makes it possible to confugure the trait object before it is
created.
- Move detail data structures into a settings::detail module to avoid polluting
the settings namespace.
- Rename generated data types to 'Flags' in anticipation of computed predicate
flags that can't be set. The Flags struct is immutable.
- Use a settings::Builder struct to manipulate settings, then pass it to
Flags::new().
This trait allows settings to be manipulated as strings, using descriptors and
constant hash-table lookups.
Amend gen_settings.py to generate the necessary constant tables.
