47 lines
2.4 KiB
Python
47 lines
2.4 KiB
Python
from typing import Callable, List, Tuple, Any, Dict, cast, Union
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import itertools
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from tinygrad.helpers import DEBUG, colored
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from tinygrad.lazy import Device
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from tinygrad.tensor import Tensor
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from tinygrad.ops import GlobalCounters, CompiledBuffer, RawBuffer
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class TinyJit:
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def __init__(self, fxn:Callable):
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self.fxn : Callable = fxn
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self.cnt : int = 0
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self.jit_cache : List[Tuple[Callable, Any]] = [] # TODO: Any should be List[RawBuffer], but this fails
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self.ret : Any = None
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self.input_replace : Dict[Tuple[int, int], Union[int, str]]= {}
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def __call__(self, *args, **kwargs) -> Any:
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if Device.DEFAULT not in ["GPU", "CLANG", "METAL", "CUDA"]: return self.fxn(*args, **kwargs) # only jit on the GPU codegen
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# NOTE: this cast is needed since although we know realize will create a ".realized" DeviceBuffer, the type checker doesn't
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input_rawbuffers : Dict[Union[int, str], RawBuffer] = {cast(Union[int, str], k):cast(CompiledBuffer, v.realize().lazydata.realized).raw() for k,v in itertools.chain(enumerate(args), kwargs.items()) if isinstance(v, Tensor)}
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assert len(input_rawbuffers) != 0, "no inputs to JIT"
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if self.cnt >= 2:
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for (j,i),idx in self.input_replace.items(): self.jit_cache[j][1][i] = input_rawbuffers[idx]
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if DEBUG >= 2: print(colored("TOK", 'magenta').split("TOK")[0], end="")
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for prg, args in self.jit_cache: prg(args)
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if DEBUG >= 2: print(colored("TOK", 'magenta').split("TOK")[1], end="")
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for (j,i),idx in self.input_replace.items(): self.jit_cache[j][1][i] = None
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elif self.cnt == 1:
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GlobalCounters.cache = []
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self.ret = self.fxn(*args, **kwargs)
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self.jit_cache = GlobalCounters.cache
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GlobalCounters.cache = None
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assert len(self.jit_cache) != 0, "didn't JIT anything!"
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if DEBUG >= 1: print(f"JIT captured {len(self.jit_cache)} kernels with {len(input_rawbuffers)} inputs")
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# get the inputs for replacement
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for j,(prg,args) in enumerate(self.jit_cache): # pylint: disable=E1133
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for i,a in enumerate(args):
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if a in input_rawbuffers.values():
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self.input_replace[(j,i)] = [k for k,v in input_rawbuffers.items() if v == a][0]
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assert set(self.input_replace.values()) == set(input_rawbuffers.keys()), "some input tensors not found"
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for (j,i),idx in self.input_replace.items(): self.jit_cache[j][1][i] = None
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elif self.cnt == 0:
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self.ret = self.fxn(*args, **kwargs)
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self.cnt += 1
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return self.ret
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