This adds a new feature experimental_x64 for CLIF tests.
A test is run in the new x64 backend iff:
- either the test doesn't have an x86_64 target requirement, signaling
it must be target agnostic or not run on this target.
- or the test does require the x86_64 target, and the test is marked
with the `experimental_x64` feature.
This required one workaround in the parser. The reason is that the
parser will try to use information not provided by the TargetIsa adapter
for the Mach backends, like register names. In particular, parsing test
may fail before the test runner realizes that the test must not be run.
In this case, we early return an almost-empty TestFile from the parser,
under the same conditions as above, so that the caller may filter out
the test properly.
This also copies two tests from the test suite using the new backend,
for demonstration purposes.
This commit adds arm32 code generation for some IR insts.
Floating-point instructions are not supported, because regalloc
does not allow to represent overlapping register classes,
which are needed by VFP/Neon.
There is also no support for big-endianness, I64 and I128 types.
* clif-util: do not convert `anyhow::Error`s into strings into `anyhow::Error`s
* filetests: Use the debug formatting of `anyhow::Error`s
This provides the full error context, not just the source error's message.
This is a close analogue to bnjbvr@'s fix in commit 518b7a7e. Similar to
that fix, this PR fixes a bug in which the Wasm translator could
misalign its value stack and either mistranslate or cause a panic with a
type-checking error.
Found via fuzzing by :decoder in SpiderMonkey (bug 1664453).
This allows for more flexibility of when/where to harvest LHS candidates. For
example, we could choose to harvest candidates that overlap with and supercede
our current preopt peepholes.
This commit also makes sure that we compute the CFG before running preopt, when
harvesting LHS candidates via `clif-util souper-harvest`.
Given a clif function, harvest all its integer subexpressions, so that they can
be fed into [Souper](https://github.com/google/souper) as candidates for
superoptimization. For some of these candidates, Souper will successfully
synthesize a right-hand side that is equivalent but has lower cost than the
left-hand side. Then, we can combine these left- and right-hand sides into a
complete optimization, and add it to our peephole passes.
To harvest the expression that produced a given value `x`, we do a post-order
traversal of the dataflow graph starting from `x`. As we do this traversal, we
maintain a map from clif values to their translated Souper values. We stop
traversing when we reach anything that can't be translated into Souper IR: a
memory load, a float-to-int conversion, a block parameter, etc. For values
produced by these instructions, we create a Souper `var`, which is an input
variable to the optimization. For instructions that have a direct mapping into
Souper IR, we get the Souper version of each of its operands and then create the
Souper version of the instruction itself. It should now be clear why we do a
post-order traversal: we need an instruction's translated operands in order to
translate the instruction itself. Once this instruction is translated, we update
the clif-to-souper map with this new translation so that any other instruction
that uses this result as an operand has access to the translated value. When the
traversal is complete we return the translation of `x` as the root of left-hand
side candidate.
