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tinygrad/tinygrad/opt/__init__.py
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qazalandGitHub de4b9bf53b add opts_to_apply option to AST KernelInfo (#10950)
* proposal: add option to override opts in the get_program API

* update test_linearizer_rewrite

* state in uops

* update process_replay and names

* empty isn't none

* fix process replay
2025-06-24 18:55:39 +03:00

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1.1 KiB
Python

# opt opinionatedly transforms an ast into an optimized ast using either heuristics or beam search
from tinygrad.opt.kernel import Kernel
from tinygrad.opt.heuristic import hand_coded_optimizations
from tinygrad.uop.ops import UOp
from tinygrad.helpers import NOOPT, BEAM, USE_TC, getenv
from tinygrad.renderer import Renderer
def get_optimized_ast(ast:UOp, renderer:Renderer) -> UOp:
"""
Optimize an AST based on heuristics or BEAM search.
Args:
ast: The Ops.SINK rooted AST
renderer: The renderer used to generate the code
Returns:
The Ops.SINK rooted AST transformed to apply the opts and with a KernelInfo in the arg.
"""
k = Kernel(ast, opts=renderer)
if ast.arg is not None and ast.arg.opts_to_apply is not None: k.apply_opts(ast.arg.opts_to_apply)
elif not NOOPT:
if not k.apply_tensor_cores(USE_TC.value): k.apply_opts(hand_coded_optimizations(k))
if BEAM >= 1:
from tinygrad.opt.search import beam_search, bufs_from_lin
kb = Kernel(ast, opts=renderer)
rawbufs = bufs_from_lin(kb, allocate=False)
k = beam_search(kb, rawbufs, BEAM.value, bool(getenv("BEAM_ESTIMATE", 1)))
return k.get_optimized_ast()