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https://github.com/tinygrad/tinygrad.git
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0fe6904351
* use device from LinearizerOptions in kernel search removed all Device.DEFAULT in search.py * pass device string for parallel pickle * device for interpreted backends in LinearizerOptions
89 lines
5.0 KiB
Python
89 lines
5.0 KiB
Python
from __future__ import annotations
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import os, subprocess, pathlib, ctypes, tempfile, functools
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import Metal, libdispatch
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from typing import List, Any, Tuple, Optional
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from tinygrad.codegen.kernel import LinearizerOptions
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from tinygrad.helpers import prod, getenv, DEBUG, unwrap2
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from tinygrad.device import Compiled, LRUAllocator
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from tinygrad.renderer.cstyle import MetalRenderer
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def compile_metal(prg, use_xcode=bool(getenv("METAL_XCODE"))) -> bytes:
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assert MetalDevice.compiler_device, "metal device creation is required for metal compile"
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if use_xcode:
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# NOTE: if you run llvm-dis on "air" you can see the llvm bytecode
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air = subprocess.check_output(['xcrun', '-sdk', 'macosx', 'metal', '-x', 'metal', '-c', '-', '-o', '-'], input=prg.encode('utf-8'))
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return subprocess.check_output(['xcrun', '-sdk', 'macosx', 'metallib', '-', '-o', '-'], input=air)
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options = Metal.MTLCompileOptions.new()
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library = unwrap2(MetalDevice.compiler_device.newLibraryWithSource_options_error_(prg, options, None))
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return library.libraryDataContents().bytes().tobytes()
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class MetalProgram:
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def __init__(self, device:MetalDevice, name:str, lib:bytes):
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self.device, self.name, self.lib = device, name, lib
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if DEBUG >= 6:
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with tempfile.NamedTemporaryFile(delete=True) as shader:
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shader.write(lib)
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shader.flush()
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os.system(f"cd {pathlib.Path(__file__).parents[2]}/disassemblers/applegpu && python3 compiler_explorer.py {shader.name}")
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data = libdispatch.dispatch_data_create(lib, len(lib), None, None)
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self.library = unwrap2(self.device.device.newLibraryWithData_error_(data, None))
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self.fxn = self.library.newFunctionWithName_(name)
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self.pipeline_state = unwrap2(self.device.device.newComputePipelineStateWithFunction_error_(self.fxn, None))
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def __call__(self, *bufs, global_size:Tuple[int,int,int], local_size:Tuple[int,int,int], vals:Tuple[int, ...]=(), wait=False):
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assert prod(local_size) <= self.pipeline_state.maxTotalThreadsPerThreadgroup(),f"local size {local_size} bigger than {self.pipeline_state.maxTotalThreadsPerThreadgroup()} with exec width {self.pipeline_state.threadExecutionWidth()} memory length {self.pipeline_state.staticThreadgroupMemoryLength()}" # noqa: E501
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command_buffer = self.device.mtl_queue.commandBuffer()
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encoder = command_buffer.computeCommandEncoder()
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encoder.setComputePipelineState_(self.pipeline_state)
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for i,a in enumerate(bufs): encoder.setBuffer_offset_atIndex_(a, 0, i)
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for i,a in enumerate(vals,start=len(bufs)): encoder.setBytes_length_atIndex_(ctypes.c_int32(a), 4, i)
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encoder.dispatchThreadgroups_threadsPerThreadgroup_(Metal.MTLSize(*global_size), Metal.MTLSize(*local_size))
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encoder.endEncoding()
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command_buffer.commit()
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if wait:
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command_buffer.waitUntilCompleted()
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return command_buffer.GPUEndTime() - command_buffer.GPUStartTime()
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self.device.mtl_buffers_in_flight.append(command_buffer)
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class MetalAllocator(LRUAllocator):
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def __init__(self, device:MetalDevice):
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self.device:MetalDevice = device
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super().__init__()
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def _alloc(self, size:int) -> Any:
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ret = self.device.device.newBufferWithLength_options_(size, Metal.MTLResourceStorageModeShared)
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if ret is None: raise MemoryError(f"Metal OOM while allocating {size=}")
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return ret
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def transfer(self, dest:Any, src:Any, sz:int):
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command_buffer = self.device.mtl_queue.commandBuffer()
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encoder = command_buffer.blitCommandEncoder()
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encoder.copyFromBuffer_sourceOffset_toBuffer_destinationOffset_size_(src, 0, dest, 0, sz)
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encoder.endEncoding()
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command_buffer.commit()
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self.device.mtl_buffers_in_flight.append(command_buffer)
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def from_buffer(self, src:memoryview) -> Optional[Any]:
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ret = self.device.device.newBufferWithBytesNoCopy_length_options_deallocator_(src, len(src), Metal.MTLResourceStorageModeShared, None)
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if ret: self.device.mv_in_metal.append(src)
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return ret
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def _free(self, opaque:Any): opaque.release()
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def as_buffer(self, src:Any) -> memoryview:
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self.device.synchronize()
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return src.contents().as_buffer(src.length())
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def copyin(self, dest:Any, src:memoryview): self.as_buffer(dest)[:] = src
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def copyout(self, dest:memoryview, src:Any): dest[:] = self.as_buffer(src)
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class MetalDevice(Compiled):
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compiler_device = None
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def __init__(self, device:str):
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self.device = Metal.MTLCreateSystemDefaultDevice()
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if MetalDevice.compiler_device is None: MetalDevice.compiler_device = self.device
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self.mtl_queue = self.device.newCommandQueueWithMaxCommandBufferCount_(1024)
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self.mtl_buffers_in_flight: List[Any] = []
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self.mv_in_metal: List[memoryview] = []
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from tinygrad.runtime.graph.metal import MetalGraph
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super().__init__(MetalAllocator(self), LinearizerOptions("METAL"), MetalRenderer,
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compile_metal, functools.partial(MetalProgram, self), functools.partial(MetalGraph, self))
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def synchronize(self):
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for cbuf in self.mtl_buffers_in_flight: cbuf.waitUntilCompleted()
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self.mv_in_metal.clear()
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self.mtl_buffers_in_flight.clear()
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