Commit Graph

5 Commits

Author SHA1 Message Date
Alastair Donaldson
3e7238c68d
spirv-fuzz: Add replay range option (#3535)
This change adds a --replay-range argument to spirv-fuzz that
facilitates applying only a prefix of transformations.
2020-07-15 12:13:23 +01:00
Alastair Donaldson
52e9cc9301
spirv-fuzz: Improve debugging facilities (#3074)
Adds an option to run the validator on the SPIR-V binary after each
fuzzer pass has been applied, to help identify when the fuzzer has
made the module invalid.  Also adds a helper method to allow dumping
of the sequence of transformations that have been applied to a JSON
file.
2019-11-27 18:05:56 +00:00
Alastair Donaldson
7275a71654
Allow validation during spirv-fuzz replay (#2873)
To aid in debugging issues in spirv-fuzz, this change adds an option whereby the SPIR-V module is validated after each transformation is applied during replay.  This can assist in finding a transformation that erroneously makes the module invalid, so that said transformation can be debugged.
2019-09-20 10:54:09 +01:00
Alastair Donaldson
b8ab80843f
Shrinker for spirv-fuzz (#2708)
Adds to spirv-fuzz the option to shrink a sequence of transformations
that lead to an interesting binary to be generated, to find a smaller
sub-sequence of transformations that still lead to an interesting (but
hopefully simpler) binary being generated. The notion of what counts
as "interesting" comes from a user-provided script, the
"interestingness function", similar to the way the spirv-reduce tool
works. The shrinking process will give up after a maximum number of
steps, which can be configured on the command line.

Tests for the combination of fuzzing and shrinking are included, using
a variety of interestingness functions.
2019-07-07 08:55:30 +01:00
Alastair Donaldson
fe9f870130
Add library for spirv-fuzz (#2618)
Adds a library for spirv-fuzz, consisting of a Fuzzer class that will
transform a module with respect to (a) facts about the module provided
via a FactManager class, and (b) a source of random numbers and
parameters to control the transformation process provided via a
FuzzerContext class.  Transformations will be applied via classes that
implement a FuzzerPass interface, and both facts and transformations
will be represented via protobuf messages.  Currently there are no
concrete facts, transformations nor fuzzer passes; these will follow.
2019-05-27 14:34:55 +01:00