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https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
21 lines
1.2 KiB
Python
21 lines
1.2 KiB
Python
import ctypes
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from tinygrad.runtime.support import c
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gpuocelot_lib = c.DLL("ocelot", "gpuocelot")
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@gpuocelot_lib.bind(None, ctypes.c_char_p, ctypes.c_int, ctypes.POINTER(ctypes.c_void_p), ctypes.c_int, ctypes.c_int, ctypes.c_int,
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ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_int)
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def ptx_run(source:bytes, n_args:int, args:c.POINTER[ctypes.c_void_p], blck_x:int, blck_y:int, blck_z:int,
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grid_x:int, grid_y:int, grid_z:int, shared_mem_size:int): pass
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class PythonRemu:
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"""Python RDNA3/RDNA4 emulator wrapper used by mockgpu."""
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valid_mem_ranges: set[tuple[int, int]] = set()
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rsrc2: int = 0x19c # Default: USER_SGPR_COUNT=14, enable X and Y workgroup IDs
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scratch_size: int = 0 # private_segment_fixed_size from kernel descriptor
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arch: str = "rdna3" # Architecture: rdna3 or rdna4
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user_data: list[int] = [] # All COMPUTE_USER_DATA registers (loaded into s[0:N])
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def run_asm(self, lib: int, lib_sz: int, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, args_ptr: int) -> int:
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from test.mockgpu.amd.emu import run_asm
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return run_asm(lib, lib_sz, gx, gy, gz, lx, ly, lz, args_ptr, self.rsrc2, self.scratch_size, self.arch, self.user_data)
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