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47 lines
1.8 KiB
47 lines
1.8 KiB
4 days ago
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# opt opinionatedly transforms an ast into an optimized ast using either heuristics or beam search
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from tinygrad.codegen.opt.kernel import Kernel
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from tinygrad.codegen.opt.heuristic import hand_coded_optimizations
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from tinygrad.uop.ops import UOp, PatternMatcher, UPat, Ops, KernelInfo
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from tinygrad.helpers import NOOPT, BEAM, USE_TC, getenv
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from tinygrad.renderer import Renderer
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from tinygrad.uop.spec import type_verify
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def get_optimized_ast(ast:UOp, renderer:Renderer) -> UOp:
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"""
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Optimize an AST based on heuristics or BEAM search.
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Args:
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ast: The Ops.SINK rooted AST
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renderer: The renderer used to generate the code
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Returns:
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The Ops.SINK rooted AST transformed to apply the opts and with a KernelInfo in the arg.
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"""
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assert ast.arg is None, "no opt if there's an arg"
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k = Kernel(ast, opts=renderer)
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if not NOOPT:
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if not k.apply_tensor_cores(USE_TC.value): k.apply_opts(hand_coded_optimizations(k))
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if BEAM >= 1:
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from tinygrad.codegen.opt.search import beam_search, bufs_from_lin
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kb = Kernel(ast, opts=renderer)
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rawbufs = bufs_from_lin(kb, allocate=False)
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k = beam_search(kb, rawbufs, BEAM.value, bool(getenv("BEAM_ESTIMATE", 1)))
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return ast.replace(arg=KernelInfo(opts_to_apply=tuple(k.applied_opts)))
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pm_get_optimization = PatternMatcher([
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(UPat(Ops.SINK, name="ast"), lambda ctx,ast: get_optimized_ast(ast, ctx) if ast.arg is None and ast.src[0].st is not None else None),
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])
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def apply_opt(ast:UOp, renderer:Renderer):
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k = Kernel(ast, opts=renderer)
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k.apply_opts(ast.arg.opts_to_apply)
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ret = k.get_optimized_ast()
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if __debug__: type_verify(list(ret.toposort()))
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return ret
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pm_do_optimize = PatternMatcher([
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(UPat(Ops.SINK, name="ast"), lambda ctx,ast: apply_opt(ast, ctx) if ast.arg is not None and ast.arg.opts_to_apply is not None else None),
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])
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