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41 lines
1.9 KiB
Python
41 lines
1.9 KiB
Python
import functools
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from tinygrad.device import Compiled, Compiler, Allocator
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from tinygrad.engine.jit import MultiGraphRunner
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from tinygrad.renderer.cstyle import Renderer, CStyleLanguage
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from tinygrad.renderer.llvmir import AMDLLVMRenderer
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from tinygrad.uop.ops import Ops
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from tinygrad.helpers import cpu_profile, EMULATE
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class NullRenderer(CStyleLanguage):
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device = "NULL"
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has_local = False
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float4 = "float4"
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barrier = "// BARRIER"
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code_for_op = {**CStyleLanguage.code_for_op, Ops.THREEFRY: lambda a,b,dtype: f"threefry({a},{b})", Ops.MAX: lambda a,b,dtype: f"max({a},{b})"}
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class NullProgram:
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def __init__(self, device:str, name:str, lib:bytes): self.device, self.name = device, name
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def __call__(self, *bufs, global_size:tuple[int,int,int]=(1,1,1), local_size:tuple[int,int,int]=(1,1,1), vals:tuple[int, ...]=(), wait=False):
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with cpu_profile(self.name, self.device): return 1e-3
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class NullAllocator(Allocator['NullDevice']):
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def _alloc(self, size, options): pass
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def _copyin(self, dest, src:memoryview): pass
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def _copyout(self, dest:memoryview, src): pass
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def _transfer(self, dest, src, sz:int, src_dev, dest_dev):
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with cpu_profile(f"{src_dev.device} -> {dest_dev.device}", self.dev.device): pass
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def _offset(self, buf, offset:int, size:int): pass
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class NullGraph(MultiGraphRunner):
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def __call__(self, input_rawbuffers, var_vals, wait=False) -> float|None: return 1e-1
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class NullDevice(Compiled):
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def __init__(self, device:str):
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renderer:functools.partial|type[Renderer]
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match str(EMULATE.value):
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case "AMD": renderer = functools.partial(AMDLLVMRenderer, "gfx1100")
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case "AMD_RDNA4": renderer = functools.partial(AMDLLVMRenderer, "gfx1201")
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case "": renderer = NullRenderer
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case _: raise RuntimeError(f"can't EMULATE device: {EMULATE.value}")
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super().__init__(device, NullAllocator(self), [(renderer, Compiler)], functools.partial(NullProgram, device), NullGraph)
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