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59 lines
2.5 KiB
Python
59 lines
2.5 KiB
Python
from typing import List
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from extra.models.resnet import ResNet50
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from tinygrad import Tensor, Device
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from tinygrad.helpers import Profiling, Timing, getenv, BEAM, NOOPT, DEBUG, Context, ansilen, _CURRENT_KERNEL
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from tinygrad.ops import UOps
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from tinygrad.codegen.kernel import Kernel
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from tinygrad.codegen.lowerer import ast_to_uop
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from tinygrad.codegen.uopgraph import linearize_uop, full_graph_rewrite
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from tinygrad.engine.search import beam_search, bufs_from_lin
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if __name__ == "__main__":
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mdl = ResNet50()
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img = Tensor.empty(64, 3, 224, 224)
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PROFILE = getenv("PROFILE", 0)
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FORWARD_ONLY = getenv("FORWARD_ONLY", 0)
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SCHEDULE_ONLY = getenv("SCHEDULE_ONLY", 0)
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with Timing("all "):
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with Timing("***** model tensor in "):
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out = mdl(img)
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if not FORWARD_ONLY:
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with Timing("***** model schedule in "):
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sched = out.schedule()
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if not SCHEDULE_ONLY:
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asts = list({x.ast.key:x.ast for x in sched if x.ast.op is UOps.SINK}.values())
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if (restrict_kernel := getenv("RESTRICT_KERNEL", -1)) != -1: asts = asts[restrict_kernel:restrict_kernel+1]
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kernels: List[Kernel] = []
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with Timing(f"***** model opts({len(asts):2d}) in "):
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for ast in asts:
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k = Kernel(ast)
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if BEAM:
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with Context(DEBUG=max(2, DEBUG.value)): k = beam_search(k, bufs_from_lin(k), BEAM.value)
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elif NOOPT: pass
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else: k.hand_coded_optimizations()
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kernels.append(k)
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with Timing("***** model lower in "): uops = [ast_to_uop(k.get_optimized_ast(), k.opts) for k in kernels]
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with Profiling(PROFILE, fn="/tmp/rewrite.prof"):
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with Timing("***** model rewrite in "):
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rewritten_uops = []
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for i,(k,u) in enumerate(zip(kernels, uops)):
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with Timing(f"rewrite {i:2d} {k.name}{' '*(50-ansilen(k.name))}", enabled=getenv("VERBOSE", 0)):
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if getenv("VIZ"): _CURRENT_KERNEL.set(k.name)
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rewritten_uops.append(full_graph_rewrite(u, k.opts))
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uops = rewritten_uops
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if getenv("LINEARIZE", 1):
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with Timing("***** model linearize in "): uops = [linearize_uop(u) for u in uops]
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print(sum(len(u) for u in uops))
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if getenv("GRAPHUOPS", 0):
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for u in uops:
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from tinygrad.engine.graph import graph_uops
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graph_uops(u)
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if getenv("SRC", 0):
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renderer = Device[Device.DEFAULT].renderer
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for k,u in zip(kernels, uops): print(renderer.render(k.name, u))
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