mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-04-29 03:00:14 -04:00
515 lines
29 KiB
Python
515 lines
29 KiB
Python
from __future__ import annotations
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from typing import Tuple, List, Any
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import os, fcntl, ctypes, ctypes.util, functools, re, pathlib, mmap, errno, subprocess, time, array
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from dataclasses import dataclass
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from tinygrad.device import HCQCompatCompiled, HCQCompatAllocator, HCQCompatAllocRes, HWComputeQueue, HWCopyQueue, hcq_profile, \
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HCQCompatProgram, Compiler, CompileError, BufferOptions
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from tinygrad.helpers import getenv, to_mv, round_up, DEBUG, PROFILE, mv_address
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from tinygrad.renderer.cstyle import AMDRenderer
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from tinygrad.runtime.support.hip_comgr import compile_hip
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import tinygrad.runtime.autogen.kfd as kfd
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import tinygrad.runtime.autogen.hsa as hsa
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import tinygrad.runtime.autogen.amd_gpu as amd_gpu
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import tinygrad.runtime.autogen.libc as libc
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from tinygrad.runtime.support.elf import elf_loader
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if getenv("IOCTL"): import extra.hip_gpu_driver.hip_ioctl # noqa: F401 # pylint: disable=unused-import
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if getenv("MOCKGPU"): import extra.mockgpu.mockgpu # noqa: F401 # pylint: disable=unused-import
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def is_usable_gpu(gpu_id):
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try:
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with gpu_id.open() as f:
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return int(f.read()) != 0
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except OSError:
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return False
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def kfd_ioctl(idir, nr, user_struct, fd, **kwargs):
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ret = fcntl.ioctl(fd, (idir<<30) | (ctypes.sizeof(made := user_struct(**kwargs))<<16) | (ord('K')<<8) | nr, made)
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if ret != 0: raise RuntimeError(f"ioctl returned {ret}")
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return made
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def ioctls_from_header():
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#hdr = pathlib.Path("/usr/include/linux/kfd_ioctl.h").read_text().replace("\\\n", "")
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#pattern = r'#define\s+(AMDKFD_IOC_[A-Z0-9_]+)\s+AMDKFD_(IOW?R?)\((0x[0-9a-fA-F]+),\s+struct\s([A-Za-z0-9_]+)\)'
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#matches = re.findall(pattern, hdr, re.MULTILINE)
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# get this from python instead
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hdrpy = (pathlib.Path(__file__).parent / "autogen" / "kfd.py").read_text()
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pattern = r'# (AMDKFD_IOC_[A-Z0-9_]+)\s=\s_(IOW?R?).*\(( 0x[0-9a-fA-F]+) ,\s+struct\s([A-Za-z0-9_]+)\s+\)'
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matches = re.findall(pattern, hdrpy, re.MULTILINE)
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idirs = {"IOW": 1, "IOR": 2, "IOWR": 3}
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fxns = {name.replace("AMDKFD_IOC_", "").lower():
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functools.partial(kfd_ioctl, idirs[idir], int(nr, 0x10), getattr(kfd, "struct_"+sname))
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for name, idir, nr, sname in matches}
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return type("KIO", (object, ), fxns)
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kio = ioctls_from_header()
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SIGNAL_SIZE, SIGNAL_COUNT = ctypes.sizeof(hsa.amd_signal_t), 65536
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regBIF_BX_PF1_GPU_HDP_FLUSH_REQ = 0x0106
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regBIF_BX_PF1_GPU_HDP_FLUSH_DONE = 0x0107
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# VGT_EVENT_TYPE in navi10_enum.h
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CACHE_FLUSH_AND_INV_TS_EVENT = 0x14
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WAIT_REG_MEM_FUNCTION_EQ = 3 # ==
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WAIT_REG_MEM_FUNCTION_GEQ = 5 # >=
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COMPUTE_SHADER_EN, FORCE_START_AT_000, CS_W32_EN = (1 << 0), (1 << 2), (1 << 15)
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def gfxreg(reg): return reg + 0x00001260 - amd_gpu.PACKET3_SET_SH_REG_START
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def nbioreg(reg): return reg + 0x00000d20 # NBIO_BASE__INST0_SEG2
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def data64_le(data): return (data & 0xFFFFFFFF, data >> 32)
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def signal_value_addr(signal): return ctypes.addressof(signal) + getattr(hsa.amd_signal_t, 'value').offset
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def signal_ts_addr(signal): return ctypes.addressof(signal) + getattr(hsa.amd_signal_t, 'start_ts').offset
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def disasm(lib):
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asm = subprocess.check_output(["/opt/rocm/llvm/bin/llvm-objdump", '-d', '-'], input=lib)
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return '\n'.join([x for x in asm.decode('utf-8').split("\n") if 's_code_end' not in x])
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class AMDCompiler(Compiler):
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def __init__(self, arch:str):
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self.arch = arch
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super().__init__(f"compile_hip_{self.arch}")
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def compile(self, src:str) -> bytes:
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try: return compile_hip(src, self.arch)
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except RuntimeError as e: raise CompileError(e) from e
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class AMDComputeQueue(HWComputeQueue):
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def __init__(self):
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self.ptr_to_dispatch_packet = {}
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super().__init__()
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def __del__(self):
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if self.binded_device is not None:
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self.binded_device.synchronize()
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self.binded_device._gpu_free(self.hw_page)
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def _invalidate_cache(self, addr=0x0, sz=(1 << 64)-1, gli=1, glm=1, glk=1, glv=1, gl1=1, gl2=1):
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_ACQUIRE_MEM, 6), 0, *data64_le(sz), *data64_le(addr), 0,
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amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLI_INV(gli) | \
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amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLM_INV(glm) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLM_WB(glm) | \
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amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLK_INV(glk) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLK_WB(glk) | \
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amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLV_INV(glv) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL1_INV(gl1) | \
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amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL2_INV(gl2) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL2_WB(gl2)]
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def _memory_barrier(self):
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_WAIT_REG_MEM, 5), amd_gpu.WAIT_REG_MEM_MEM_SPACE(0) | amd_gpu.WAIT_REG_MEM_OPERATION(1) | \
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amd_gpu.WAIT_REG_MEM_FUNCTION(WAIT_REG_MEM_FUNCTION_EQ) | amd_gpu.WAIT_REG_MEM_ENGINE(0), nbioreg(regBIF_BX_PF1_GPU_HDP_FLUSH_REQ),
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nbioreg(regBIF_BX_PF1_GPU_HDP_FLUSH_DONE), 0xffffffff, 0xffffffff, 0x20]
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self._invalidate_cache()
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def _exec(self, prg, kernargs, global_size:Tuple[int,int,int]=(1,1,1), local_size:Tuple[int,int,int]=(1,1,1)):
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self._invalidate_cache()
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user_data = [*data64_le(kernargs)]
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if hasattr(prg, 'dispatch_packet_offset'):
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dp = hsa.hsa_kernel_dispatch_packet_t.from_address(dp_addr:=kernargs + prg.dispatch_packet_offset)
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dp.workgroup_size_x, dp.workgroup_size_y, dp.workgroup_size_z = local_size[0], local_size[1], local_size[2]
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dp.grid_size_x, dp.grid_size_y, dp.grid_size_z = global_size[0]*local_size[0], global_size[1]*local_size[1], global_size[2]*local_size[2]
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dp.group_segment_size, dp.private_segment_size, dp.kernarg_address = prg.group_segment_size, prg.private_segment_size, kernargs
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user_data = [*data64_le(dp_addr)] + user_data
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self.ptr_to_dispatch_packet[len(self)] = dp
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 6), gfxreg(amd_gpu.regCOMPUTE_PGM_LO), *data64_le(prg.prog_addr >> 8),
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*data64_le(0), *data64_le(prg.device.scratch.va_addr >> 8)]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_PGM_RSRC1), prg.rsrc1, prg.rsrc2]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.regCOMPUTE_TMPRING_SIZE), prg.device.tmpring_size]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 4), gfxreg(amd_gpu.regCOMPUTE_RESTART_X), 0, 0, 0, 0]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE0)] + [0xFFFFFFFF] * 2
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE2)] + [0xFFFFFFFF] * 2
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 4), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE4)] + [0xFFFFFFFF] * 4
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, len(user_data)), gfxreg(amd_gpu.regCOMPUTE_USER_DATA_0)] + user_data
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 8), gfxreg(amd_gpu.regCOMPUTE_START_X), 0, 0, 0, *local_size, 0, 0]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.regCOMPUTE_RESOURCE_LIMITS), 0]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_DISPATCH_DIRECT, 3), *global_size, CS_W32_EN | FORCE_START_AT_000 | COMPUTE_SHADER_EN]
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_EVENT_WRITE, 0), amd_gpu.EVENT_TYPE(7) | amd_gpu.EVENT_INDEX(4)]
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def _update_exec(self, cmd_idx, global_size, local_size):
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self._patch(cmd_idx, offset=52, data=local_size)
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self._patch(cmd_idx, offset=61, data=global_size)
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if (dp:=self.ptr_to_dispatch_packet.get(cmd_idx)) is not None:
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dp.workgroup_size_x, dp.workgroup_size_y, dp.workgroup_size_z = local_size[0], local_size[1], local_size[2]
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dp.grid_size_x, dp.grid_size_y, dp.grid_size_z = global_size[0]*local_size[0], global_size[1]*local_size[1], global_size[2]*local_size[2]
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def _wait(self, signal:hsa.amd_signal_t, value=0):
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_WAIT_REG_MEM, 5),
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amd_gpu.WAIT_REG_MEM_MEM_SPACE(1) | amd_gpu.WAIT_REG_MEM_OPERATION(0) | amd_gpu.WAIT_REG_MEM_FUNCTION(WAIT_REG_MEM_FUNCTION_GEQ) | \
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amd_gpu.WAIT_REG_MEM_ENGINE(0), *data64_le(signal_value_addr(signal)), value, 0xffffffff, 4]
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def _release_mem(self, mem_event_type, mem_data_sel, mem_int_sel, address, value=0, cst=0, cache_flush=False):
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cache_flush_flags = 0
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if cache_flush:
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cache_flush_flags = amd_gpu.PACKET3_RELEASE_MEM_GCR_GLV_INV | amd_gpu.PACKET3_RELEASE_MEM_GCR_GL1_INV | \
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amd_gpu.PACKET3_RELEASE_MEM_GCR_GL2_INV | amd_gpu.PACKET3_RELEASE_MEM_GCR_GLM_WB | amd_gpu.PACKET3_RELEASE_MEM_GCR_GLM_INV | \
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amd_gpu.PACKET3_RELEASE_MEM_GCR_GL2_WB | amd_gpu.PACKET3_RELEASE_MEM_GCR_SEQ
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# event_index__mec_release_mem__end_of_pipe = 5
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# event_index__mec_release_mem__shader_done = 6
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self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_RELEASE_MEM, 6),
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amd_gpu.PACKET3_RELEASE_MEM_EVENT_TYPE(mem_event_type) | amd_gpu.PACKET3_RELEASE_MEM_EVENT_INDEX(5) | cache_flush_flags,
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amd_gpu.PACKET3_RELEASE_MEM_DATA_SEL(mem_data_sel) | amd_gpu.PACKET3_RELEASE_MEM_INT_SEL(mem_int_sel) | amd_gpu.PACKET3_RELEASE_MEM_DST_SEL(0),
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*data64_le(address), *data64_le(value), cst]
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def _timestamp(self, signal): self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=3, mem_int_sel=0, address=signal_ts_addr(signal))
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def _signal(self, signal:hsa.amd_signal_t, value=0):
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# NOTE: this needs an EOP buffer on the queue or it will NULL pointer
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self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=1, mem_int_sel=2, address=signal_value_addr(signal), value=value, cache_flush=True)
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if signal.event_mailbox_ptr != 0:
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self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=1, mem_int_sel=2, address=signal.event_mailbox_ptr,
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value=signal.event_id, cst=signal.event_id, cache_flush=True)
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def _update_wait(self, cmd_idx, signal=None, value=None):
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if signal is not None: self._patch(cmd_idx, offset=2, data=data64_le(signal_value_addr(signal)))
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if value is not None: self._patch(cmd_idx, offset=4, data=[value])
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def _update_signal(self, cmd_idx, signal=None, value=None):
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if signal is not None: self._patch(cmd_idx, offset=3, data=data64_le(signal_value_addr(signal)))
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if value is not None: self._patch(cmd_idx, offset=5, data=data64_le(value))
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# Check if the signal command has mailptr part
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if signal is not None and self.cmds_len[cmd_idx] > 8:
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self._patch(cmd_idx, offset=11, data=[*data64_le(signal.event_mailbox_ptr), *data64_le(signal.event_id), signal.event_id])
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def bind(self, device: AMDDevice):
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self.binded_device = device
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self.hw_page = device._gpu_alloc(len(self.q) * 4, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=True)
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hw_view = to_mv(self.hw_page.va_addr, self.hw_page.size).cast("I")
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for i, value in enumerate(self.q): hw_view[i] = value
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self.indirect_cmd = [amd_gpu.PACKET3(amd_gpu.PACKET3_INDIRECT_BUFFER, 2), *data64_le(self.hw_page.va_addr),
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len(self.q) | amd_gpu.INDIRECT_BUFFER_VALID]
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self.q = hw_view # type: ignore
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def _submit(self, device):
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cmds = self.indirect_cmd if device == self.binded_device else self.q
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for i, value in enumerate(cmds): device.compute_queue.ring[(device.compute_queue.put_value + i) % len(device.compute_queue.ring)] = value
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device.compute_queue.put_value += len(cmds)
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device.compute_queue.write_ptr[0] = device.compute_queue.put_value
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device.compute_queue.doorbell[0] = device.compute_queue.put_value
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SDMA_MAX_COPY_SIZE = 0x400000
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class AMDCopyQueue(HWCopyQueue):
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def __init__(self):
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self.internal_cmd_sizes, self.copy_cmds_per_copy = [], {}
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super().__init__()
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def _q(self, arr):
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self.q += arr
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self.internal_cmd_sizes.append(len(arr))
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def _copy(self, dest, src, copy_size):
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# Invalidate cache inv
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self._q([amd_gpu.SDMA_OP_GCR_REQ, 0, amd_gpu.SDMA_GCR_GLM_INV | amd_gpu.SDMA_GCR_GLK_INV | amd_gpu.SDMA_GCR_GLK_WB | amd_gpu.SDMA_GCR_GLV_INV | \
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amd_gpu.SDMA_GCR_GL1_INV | amd_gpu.SDMA_GCR_GL2_WB | amd_gpu.SDMA_GCR_GL2_INV, 0, 0])
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copied, copy_commands = 0, (copy_size + SDMA_MAX_COPY_SIZE - 1) // SDMA_MAX_COPY_SIZE
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self.copy_cmds_per_copy[len(self) - 1] = copy_commands
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for _ in range(copy_commands):
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step_copy_size = min(copy_size - copied, SDMA_MAX_COPY_SIZE)
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self._q([amd_gpu.SDMA_OP_COPY | amd_gpu.SDMA_PKT_COPY_LINEAR_HEADER_SUB_OP(amd_gpu.SDMA_SUBOP_COPY_LINEAR),
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amd_gpu.SDMA_PKT_COPY_LINEAR_COUNT_COUNT(step_copy_size - 1), 0, *data64_le(src + copied), *data64_le(dest + copied)])
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copied += step_copy_size
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# Invalidate cache wb
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self._q([amd_gpu.SDMA_OP_GCR_REQ, 0, amd_gpu.SDMA_GCR_GLK_WB | amd_gpu.SDMA_GCR_GL2_WB, 0, 0])
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def _update_copy(self, cmd_idx, dest=None, src=None):
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for i in range(self.copy_cmds_per_copy[cmd_idx]):
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if src is not None: self._patch(cmd_idx, offset=8+i*7, data=[*data64_le(src + SDMA_MAX_COPY_SIZE*i)])
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if dest is not None: self._patch(cmd_idx, offset=10+i*7, data=[*data64_le(dest + SDMA_MAX_COPY_SIZE*i)])
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def _signal(self, signal: hsa.amd_signal_t, value=0):
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self._q([amd_gpu.SDMA_OP_FENCE | amd_gpu.SDMA_PKT_FENCE_HEADER_MTYPE(3), *data64_le(signal_value_addr(signal)), value])
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if signal.event_mailbox_ptr != 0:
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self._q([amd_gpu.SDMA_OP_FENCE | amd_gpu.SDMA_PKT_FENCE_HEADER_MTYPE(3), *data64_le(signal.event_mailbox_ptr), signal.event_id])
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self._q([amd_gpu.SDMA_OP_TRAP, amd_gpu.SDMA_PKT_TRAP_INT_CONTEXT_INT_CONTEXT(signal.event_id)])
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def _wait(self, signal: hsa.amd_signal_t, value=0):
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self._q([amd_gpu.SDMA_OP_POLL_REGMEM | amd_gpu.SDMA_PKT_POLL_REGMEM_HEADER_FUNC(WAIT_REG_MEM_FUNCTION_GEQ) | \
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amd_gpu.SDMA_PKT_POLL_REGMEM_HEADER_MEM_POLL(1), *data64_le(signal_value_addr(signal)), value, 0xffffffff,
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amd_gpu.SDMA_PKT_POLL_REGMEM_DW5_INTERVAL(0x04) | amd_gpu.SDMA_PKT_POLL_REGMEM_DW5_RETRY_COUNT(0xfff)])
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def _update_signal(self, cmd_idx, signal=None, value=None): return self._update_wait(cmd_idx, signal, value) # the same offsets and commands
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def _update_wait(self, cmd_idx, signal=None, value=None):
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if signal is not None: self._patch(cmd_idx, offset=1, data=data64_le(signal_value_addr(signal)))
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if value is not None: self._patch(cmd_idx, offset=3, data=[value])
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def _timestamp(self, signal:hsa.amd_signal_t):
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self._q([amd_gpu.SDMA_OP_TIMESTAMP | amd_gpu.SDMA_PKT_TIMESTAMP_GET_HEADER_SUB_OP(amd_gpu.SDMA_SUBOP_TIMESTAMP_GET_GLOBAL),
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*data64_le(signal_ts_addr(signal))])
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def _submit(self, device):
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if device.sdma_queue.put_value - device.sdma_queue.read_ptr[0] > device.sdma_queue.ring.nbytes: raise RuntimeError("SDMA queue overrun")
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tail_blit_dword = 0
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for cmdsz in self.internal_cmd_sizes:
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if (tail_blit_dword + cmdsz) * 4 >= device.sdma_queue.ring.nbytes - device.sdma_queue.put_value % device.sdma_queue.ring.nbytes: break
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tail_blit_dword += cmdsz
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start_idx = (device.sdma_queue.put_value % device.sdma_queue.ring.nbytes) // 4
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device.sdma_queue.ring[start_idx : start_idx + tail_blit_dword] = array.array('I', self.q[:tail_blit_dword])
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device.sdma_queue.put_value += tail_blit_dword * 4
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if (rem_packet_cnt := len(self.q) - tail_blit_dword) > 0:
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zero_fill = device.sdma_queue.ring.nbytes - device.sdma_queue.put_value % device.sdma_queue.ring.nbytes
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ctypes.memset(mv_address(device.sdma_queue.ring) + (device.sdma_queue.put_value % device.sdma_queue.ring.nbytes), 0, zero_fill)
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device.sdma_queue.put_value += zero_fill
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device.sdma_queue.ring[0:rem_packet_cnt] = array.array('I', self.q[tail_blit_dword:])
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device.sdma_queue.put_value += rem_packet_cnt * 4
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device.sdma_queue.write_ptr[0] = device.sdma_queue.put_value
|
|
device.sdma_queue.doorbell[0] = device.sdma_queue.put_value
|
|
|
|
class AMDProgram(HCQCompatProgram):
|
|
def __init__(self, device:AMDDevice, name:str, lib:bytes):
|
|
# TODO; this API needs the type signature of the function and global_size/local_size
|
|
self.device, self.name, self.lib = device, name, lib
|
|
|
|
if DEBUG >= 6: print(disasm(lib))
|
|
|
|
image, sections, _ = elf_loader(self.lib)
|
|
self.lib_gpu = self.device._gpu_alloc(round_up(image.nbytes, 0x1000), kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM, public=True)
|
|
ctypes.memmove(self.lib_gpu.va_addr, mv_address(image), image.nbytes)
|
|
|
|
entry_point = min(sh.header.sh_addr for sh in sections if sh.header.sh_type == libc.SHT_PROGBITS and sh.header.sh_flags & libc.SHF_ALLOC)
|
|
self.group_segment_size = image[:-(len(image)%4)].cast("I")[entry_point//4]
|
|
self.private_segment_size = image[:-(len(image)%4)].cast("I")[entry_point//4 + 1]
|
|
self.kernargs_segment_size = image[:-(len(image)%4)].cast("I")[entry_point//4 + 2]
|
|
|
|
lds_size = ((self.group_segment_size + 511) // 512) & 0x1FF
|
|
if lds_size > (self.device.properties['lds_size_in_kb'] * 1024) // 512: raise RuntimeError("Too many resources requsted: group_segment_size")
|
|
if self.private_segment_size > self.device.max_private_segment_size: raise RuntimeError("Too many resources requsted: private_segment_size")
|
|
|
|
code = hsa.amd_kernel_code_t.from_address(self.lib_gpu.va_addr + entry_point) # NOTE: this is wrong, it's not this object
|
|
self.rsrc1 = code.compute_pgm_rsrc1
|
|
self.rsrc2 = code.compute_pgm_rsrc2 | (lds_size << 15)
|
|
|
|
if code.kernel_code_properties & 0x2 == 0x2: # ENABLE_SGPR_DISPATCH_PTR
|
|
# Allocate space for the dispatch packet in the kernargs to pass it to the GPU.
|
|
self.dispatch_packet_offset = self.kernargs_alloc_size
|
|
self.kernargs_alloc_size += ctypes.sizeof(hsa.hsa_kernel_dispatch_packet_t)
|
|
|
|
assert code.kernel_code_properties & 0x400 == 0x400 # ENABLE_WAVEFRONT_SIZE32
|
|
assert code.workitem_private_segment_byte_size == 0
|
|
assert code.max_scratch_backing_memory_byte_size == 0
|
|
assert code.kernel_code_prefetch_byte_size == 0
|
|
|
|
self.prog_addr = self.lib_gpu.va_addr + entry_point + code.kernel_code_entry_byte_offset
|
|
|
|
super().__init__(kernargs_alloc_size=self.kernargs_segment_size)
|
|
|
|
def __del__(self):
|
|
if hasattr(self, 'lib_gpu'): self.device._gpu_free(self.lib_gpu)
|
|
|
|
def fill_kernargs(self, kernargs_ptr:int, bufs:Tuple[Any, ...], vals:Tuple[int, ...]=()):
|
|
if (given:=len(bufs)*8 + len(vals)*4) != (want:=self.kernargs_segment_size): raise RuntimeError(f'incorrect args size {given=} != {want=}')
|
|
if len(bufs): to_mv(kernargs_ptr, len(bufs) * 8).cast('Q')[:] = array.array('Q', [b.va_addr for b in bufs])
|
|
if len(vals): to_mv(kernargs_ptr + len(bufs) * 8, len(vals) * 4).cast('I')[:] = array.array('I', vals)
|
|
|
|
def __call__(self, *args, global_size:Tuple[int,int,int]=(1,1,1), local_size:Tuple[int,int,int]=(1,1,1), vals:Tuple[int, ...]=(), wait=False):
|
|
if self.device.kernargs_ptr + self.kernargs_alloc_size > (self.device.kernargs.va_addr + self.device.kernargs.size):
|
|
self.device.kernargs_ptr = self.device.kernargs.va_addr
|
|
|
|
self.fill_kernargs(self.device.kernargs_ptr, args, vals)
|
|
|
|
q = AMDComputeQueue().wait(self.device.timeline_signal, self.device.timeline_value - 1).memory_barrier()
|
|
|
|
with hcq_profile(self.device, queue=q, desc=self.name, enabled=wait or PROFILE) as (sig_st, sig_en):
|
|
q.exec(self, self.device.kernargs_ptr, global_size, local_size)
|
|
|
|
q.signal(self.device.timeline_signal, self.device.timeline_value).submit(self.device)
|
|
|
|
self.device.timeline_value += 1
|
|
self.device.kernargs_ptr += self.kernargs_alloc_size
|
|
|
|
if wait:
|
|
self.device._wait_signal(self.device.timeline_signal, self.device.timeline_value - 1)
|
|
if not PROFILE: self.device.signals_pool += [sig_st, sig_en]
|
|
return (sig_en.start_ts - sig_st.start_ts) / 1e8
|
|
|
|
class AMDAllocator(HCQCompatAllocator):
|
|
def __init__(self, device:AMDDevice): super().__init__(device, batch_size=SDMA_MAX_COPY_SIZE)
|
|
|
|
def _alloc(self, size:int, options:BufferOptions) -> HCQCompatAllocRes:
|
|
if options.host: return self.device._gpu_alloc(size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_USERPTR, public=True)
|
|
return self.device._gpu_alloc(size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM, public=options.cpu_access)
|
|
|
|
def _free(self, opaque, options:BufferOptions): self.device._gpu_free(opaque)
|
|
|
|
MAP_FIXED, MAP_NORESERVE = 0x10, 0x400
|
|
|
|
@dataclass
|
|
class AMDQueueDesc:
|
|
ring: memoryview
|
|
read_ptr: memoryview
|
|
write_ptr: memoryview
|
|
doorbell: memoryview
|
|
put_value: int = 0
|
|
|
|
class AMDDevice(HCQCompatCompiled):
|
|
kfd:int = -1
|
|
event_page:Any = None # TODO: fix types in kfd, Optional[kfd.struct_kfd_ioctl_alloc_memory_of_gpu_args]
|
|
signals_page:Any = None
|
|
signals_pool:List[hsa.amd_signal_t] = []
|
|
gpus:List[pathlib.Path] = []
|
|
|
|
def _gpu_map(self, mem):
|
|
mem = mem._base if hasattr(mem, '_base') else mem
|
|
if self.gpu_id in getattr(mem, "mapped_gpu_ids", []): return
|
|
mem.__setattr__("mapped_gpu_ids", getattr(mem, "mapped_gpu_ids", []) + [self.gpu_id])
|
|
c_gpus = (ctypes.c_int32 * len(mem.mapped_gpu_ids))(*mem.mapped_gpu_ids)
|
|
stm = kio.map_memory_to_gpu(self.kfd, handle=mem.handle, device_ids_array_ptr=ctypes.addressof(c_gpus), n_devices=len(mem.mapped_gpu_ids))
|
|
assert stm.n_success == len(mem.mapped_gpu_ids)
|
|
|
|
def _gpu_alloc(self, size:int, flags:int, uncached=False, public=False, map_to_gpu=True):
|
|
flags |= kfd.KFD_IOC_ALLOC_MEM_FLAGS_WRITABLE | kfd.KFD_IOC_ALLOC_MEM_FLAGS_EXECUTABLE | kfd.KFD_IOC_ALLOC_MEM_FLAGS_NO_SUBSTITUTE
|
|
if uncached: flags |= kfd.KFD_IOC_ALLOC_MEM_FLAGS_COHERENT | kfd.KFD_IOC_ALLOC_MEM_FLAGS_UNCACHED
|
|
if public: flags |= kfd.KFD_IOC_ALLOC_MEM_FLAGS_PUBLIC
|
|
if flags & kfd.KFD_IOC_ALLOC_MEM_FLAGS_USERPTR:
|
|
buf = addr = libc.mmap(0, size, mmap.PROT_READ|mmap.PROT_WRITE, mmap.MAP_SHARED|mmap.MAP_ANONYMOUS, -1, 0)
|
|
else:
|
|
buf, addr = 0, libc.mmap(0, size, 0, mmap.MAP_PRIVATE|mmap.MAP_ANONYMOUS|MAP_NORESERVE, -1, 0)
|
|
assert addr != 0xffffffffffffffff
|
|
|
|
try: mem = kio.alloc_memory_of_gpu(self.kfd, va_addr=addr, size=size, base=addr, length=size, gpu_id=self.gpu_id, flags=flags, mmap_offset=buf)
|
|
except OSError as e:
|
|
if e.errno == errno.EINVAL and (flags & kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM) and public:
|
|
raise MemoryError("Cannot allocate host-visible VRAM. Ensure the resizable BAR option is enabled on your system.") from e
|
|
if e.errno == errno.ENOMEM: raise MemoryError("Cannot allocate memory: no memory is available.") from e
|
|
raise
|
|
|
|
if not (flags & kfd.KFD_IOC_ALLOC_MEM_FLAGS_USERPTR):
|
|
buf = libc.mmap(mem.va_addr, mem.size, mmap.PROT_READ|mmap.PROT_WRITE, mmap.MAP_SHARED|MAP_FIXED, self.drm_fd, mem.mmap_offset)
|
|
assert addr == buf == mem.va_addr
|
|
if map_to_gpu: self._gpu_map(mem)
|
|
return mem
|
|
|
|
def _gpu_free(self, mem):
|
|
if len(gpus:=getattr(mem, "mapped_gpu_ids", [])):
|
|
c_gpus = (ctypes.c_int32 * len(gpus))(*gpus)
|
|
stm = kio.unmap_memory_from_gpu(self.kfd, handle=mem.handle, device_ids_array_ptr=ctypes.addressof(c_gpus), n_devices=len(gpus))
|
|
assert stm.n_success == len(gpus)
|
|
libc.munmap(mem.va_addr, mem.size)
|
|
kio.free_memory_of_gpu(self.kfd, handle=mem.handle)
|
|
|
|
@classmethod
|
|
def _read_signal(self, signal): return signal.value
|
|
|
|
@classmethod
|
|
def _read_timestamp(self, signal): return signal.start_ts
|
|
|
|
@classmethod
|
|
def _set_signal(self, signal, value): signal.value = value
|
|
|
|
@classmethod
|
|
def _alloc_signal(self, value=0, **kwargs) -> hsa.amd_signal_t:
|
|
self._set_signal(ret := self.signals_pool.pop(), value)
|
|
if (sync_event:=kwargs.get('sync_event')) is not None:
|
|
ret.event_mailbox_ptr = AMDDevice.event_page.va_addr + sync_event.event_slot_index*8
|
|
ret.event_id = sync_event.event_id
|
|
else: ret.event_mailbox_ptr = ret.event_id = 0
|
|
return ret
|
|
|
|
@classmethod
|
|
def _free_signal(self, signal): self.signals_pool.append(signal)
|
|
|
|
@classmethod
|
|
def _wait_signal(self, signal:hsa.amd_signal_t, value=0, timeout=10000):
|
|
assert signal.event_id != 0, "can't wait on this signal"
|
|
evt_arr = (kfd.struct_kfd_event_data)(event_id=signal.event_id)
|
|
|
|
# Wait active for 5s, then going to sleep.
|
|
start_time = time.time() * 1000
|
|
while (time_spent:=time.time() * 1000 - start_time) < timeout:
|
|
if signal.value >= value: return
|
|
if time_spent > 5000: kio.wait_events(AMDDevice.kfd, events_ptr=ctypes.addressof(evt_arr), num_events=1, wait_for_all=1, timeout=1000)
|
|
raise RuntimeError(f"wait_signal: not set to {value}, but {signal.value}, {timeout} ms TIMEOUT!")
|
|
|
|
def __init__(self, device:str=""):
|
|
if AMDDevice.kfd == -1:
|
|
AMDDevice.kfd = os.open("/dev/kfd", os.O_RDWR)
|
|
gpus = [g.parent for g in pathlib.Path("/sys/devices/virtual/kfd/kfd/topology/nodes").glob("*/gpu_id") if is_usable_gpu(g)]
|
|
gpus = sorted(gpus, key=lambda x: int(x.name.split('/')[-1]))
|
|
visible_devices = [int(x) for x in (getenv('VISIBLE_DEVICES', getenv('HIP_VISIBLE_DEVICES', ''))).split(',') if x.strip()]
|
|
AMDDevice.gpus = [gpus[x] for x in visible_devices] if visible_devices else gpus
|
|
|
|
self.device_id = int(device.split(":")[1]) if ":" in device else 0
|
|
if self.device_id >= len(AMDDevice.gpus): raise RuntimeError(f"No device found for {device}. Requesting more devices than the system has?")
|
|
|
|
with open(f"{AMDDevice.gpus[self.device_id]}/gpu_id", "r") as f: self.gpu_id = int(f.read())
|
|
with open(f"{AMDDevice.gpus[self.device_id]}/properties", "r") as f: self.properties = {line.split()[0]: int(line.split()[1]) for line in f}
|
|
self.drm_fd = os.open(f"/dev/dri/renderD{self.properties['drm_render_minor']}", os.O_RDWR)
|
|
target = int(self.properties['gfx_target_version'])
|
|
self.arch = "gfx%d%x%x" % (target // 10000, (target // 100) % 100, target % 100)
|
|
kio.acquire_vm(AMDDevice.kfd, drm_fd=self.drm_fd, gpu_id=self.gpu_id)
|
|
|
|
if AMDDevice.event_page is None:
|
|
AMDDevice.signals_page = self._gpu_alloc(SIGNAL_SIZE*SIGNAL_COUNT, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=True)
|
|
AMDDevice.event_page = self._gpu_alloc(0x8000, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=True)
|
|
for off in range(0, AMDDevice.signals_page.size, SIGNAL_SIZE):
|
|
AMDDevice.signals_pool.append(hsa.amd_signal_t.from_address(AMDDevice.signals_page.va_addr + off))
|
|
sync_event = kio.create_event(AMDDevice.kfd, event_page_offset=AMDDevice.event_page.handle, auto_reset=1)
|
|
else:
|
|
self._gpu_map(AMDDevice.signals_page)
|
|
self._gpu_map(AMDDevice.event_page)
|
|
sync_event = kio.create_event(AMDDevice.kfd, auto_reset=1)
|
|
|
|
self.kernargs = self._gpu_alloc(0x1000000, kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM)
|
|
self.kernargs_ptr = self.kernargs.va_addr
|
|
|
|
# Scratch setup
|
|
max_cu_id = self.properties['simd_count'] // self.properties['simd_per_cu'] - 1
|
|
max_wave_id = self.properties['max_waves_per_simd'] * self.properties['simd_per_cu'] - 1
|
|
self.max_private_segment_size = 4096
|
|
wave_scratch_len = round_up(((max_wave_id + 1) * self.max_private_segment_size), 256) # gfx11 requires alignment of 256
|
|
self.scratch_len = (max_cu_id + 1) * self.properties['max_slots_scratch_cu'] * wave_scratch_len
|
|
self.scratch = self._gpu_alloc(self.scratch_len, kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM)
|
|
engines = self.properties['array_count'] // self.properties['simd_arrays_per_engine']
|
|
self.tmpring_size = (wave_scratch_len // 256) << 12 | (self.scratch_len // (wave_scratch_len * engines))
|
|
|
|
self.compute_queue = self._alloc_queue(kfd.KFD_IOC_QUEUE_TYPE_COMPUTE, 0x100000, ctx_save_restore_size=0x2C02000, eop_buffer_size=0x1000)
|
|
self.sdma_queue = self._alloc_queue(kfd.KFD_IOC_QUEUE_TYPE_SDMA, 0x100000)
|
|
|
|
timeline_signals=(self._alloc_signal(sync_event=sync_event), self._alloc_signal(sync_event=kio.create_event(AMDDevice.kfd, auto_reset=1)))
|
|
super().__init__(device, AMDAllocator(self), AMDRenderer(), AMDCompiler(self.arch), functools.partial(AMDProgram, self),
|
|
AMDComputeQueue, AMDCopyQueue, timeline_signals)
|
|
|
|
def _gpu2cpu_time(self, gpu_time, is_copy):
|
|
if is_copy: return self.copy_cpu_start_time + (gpu_time - self.copy_gpu_start_time) / 1e2
|
|
return self.cpu_start_time + (gpu_time - self.gpu_start_time) / 1e2
|
|
|
|
def _alloc_queue(self, queue_type, ring_size, ctx_save_restore_size=None, eop_buffer_size=None) -> AMDQueueDesc:
|
|
gart = self._gpu_alloc(0x1000, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=True)
|
|
ring = self._gpu_alloc(ring_size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=True)
|
|
cwsr_ctx = self._gpu_alloc(ctx_save_restore_size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM) if ctx_save_restore_size else None
|
|
eop_buffer = self._gpu_alloc(eop_buffer_size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_VRAM) if eop_buffer_size else None
|
|
queue = kio.create_queue(AMDDevice.kfd, ring_base_address=ring.va_addr, ring_size=ring.size, gpu_id=self.gpu_id,
|
|
queue_type=queue_type, queue_percentage=kfd.KFD_MAX_QUEUE_PERCENTAGE, queue_priority=kfd.KFD_MAX_QUEUE_PRIORITY,
|
|
eop_buffer_address=eop_buffer.va_addr if eop_buffer else 0, eop_buffer_size=eop_buffer.size if eop_buffer else 0,
|
|
ctx_save_restore_address=cwsr_ctx.va_addr if cwsr_ctx else 0, ctx_save_restore_size=cwsr_ctx.size if cwsr_ctx else 0,
|
|
write_pointer_address=gart.va_addr, read_pointer_address=gart.va_addr + 8)
|
|
|
|
if not hasattr(self, 'doorbells'):
|
|
self.doorbells_base = queue.doorbell_offset & (~0x1fff) # doorbell is two pages
|
|
self.doorbells = libc.mmap(0, 0x2000, mmap.PROT_READ|mmap.PROT_WRITE, mmap.MAP_SHARED, AMDDevice.kfd, self.doorbells_base)
|
|
|
|
return AMDQueueDesc(ring=to_mv(ring.va_addr, ring_size).cast("I"),
|
|
read_ptr=to_mv(queue.read_pointer_address, 8).cast("Q"), write_ptr=to_mv(queue.write_pointer_address, 8).cast("Q"),
|
|
doorbell=to_mv(self.doorbells + queue.doorbell_offset - self.doorbells_base, 8).cast("Q"))
|
|
|
|
def synchronize(self):
|
|
AMDDevice._wait_signal(self.timeline_signal, self.timeline_value - 1)
|
|
|
|
# reset kernargs
|
|
self.kernargs_ptr = self.kernargs.va_addr
|
|
if self.timeline_value > (1 << 31): self._wrap_timeline_signal()
|
|
if PROFILE: self._prof_process_events()
|