When Connor originally drafted NIR, he copied the same function+overload
system that GLSL IR had with a few names changed. However, this
double-indirection is not really needed and has only served to confuse
people. Instead, let's just have functions which may not have unique names
and may or may not have an implementation. If someone wants to do overload
resolving, they can hav a hash table based function+overload system in the
overload resolving pass. There's no good reason to keep it in core NIR.
Reviewed-by: Connor Abbott <cwabbott0@gmail.com>
Acked-by: Kenneth Graunke <kenneth@whitecape.org>
ir3 bits are
Reviewed-by: Rob Clark <robclark@gmail.com>
Previously, we couldn't generate two algebraic passes in the same file
because of multiple structure definitions. To solve this, we play the
age-old header file trick and just #define around it.
Reviewed-by: Matt Turner <mattst88@gmail.com>
This will be used so that we can customize the transforms for the target
GPU, so we don't un-lower expressions that had already been lowered (or
introduce new lowering transformations that not all GPUs want)
v2: Drop the complication of having the condition->index dictionary, since
we don't actually expect there to be many different conditions (change
by Kenneth).
Reviewed-by: Kenneth Graunke <kenneth@whitecape.org>
Without the break, it was possible that an instruction would match multiple
expressions. If this happened, you could end up trying to replace it
multiple times and get a segfault. This makes it so that, after a
successful replacement, it moves on to the next instruction.
Reviewed-by: Connor Abbott <cwabbott0@gmail.com>
nir_metadata_dirty was a terrible name because the parameter it takes is
the metadata to be preserved. This is really confusing because it looks
like it's doing the opposite of what it is actually doing. Now it's named
sensibly.
Reviewed-by: Connor Abbott <cwabbott0@gmail.com>
This commit builds on the nir_search.h infastructure by adding a bit of
python code that makes it stupid easy to write an algebraic transformation
pass. The nir_algebraic.py file contains four python classes that
correspond directly to the datastructures in nir_search.c and allow you to
easily generate the C code to represent them. Given a list of
search-and-replace operations, it can then generate a function that applies
those transformations to a shader.
The transformations can be specified manually, or they can be specified
using nested tuples. The nested tuples make a neat little language for
specifying expression trees and search-and-replace operations in a very
readable and easy-to-edit fasion.
The generated code is also fairly efficient. Insteady of blindly calling
nir_replace_instr with every single transformation and on every single
instruction, it uses a switch statement on the instruction opcode to do a
first-order culling and only calls nir_replace_instr if the opcode is known
to match the first opcode in the search expression.
Reviewed-by: Connor Abbott <cwabbott0@gmail.com>