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ops_amd.py
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from __future__ import annotations
from typing import Tuple, List, Any
import os, ctypes, ctypes.util, functools, pathlib, mmap, errno, time, array, contextlib, decimal
from dataclasses import dataclass
from tinygrad.device import HCQCompiled, HCQAllocator, HCQBuffer, HWComputeQueue, HWCopyQueue, HCQArgsState, \
HCQSignal, HCQProgram, BufferOptions
from tinygrad.helpers import getenv, to_mv, round_up, data64_le, DEBUG, mv_address
from tinygrad.renderer.cstyle import AMDRenderer
from tinygrad.runtime.autogen import kfd, hsa, amd_gpu, libc
from tinygrad.runtime.support.compiler_hip import AMDCompiler, disasm
from tinygrad.runtime.support.elf import elf_loader
if getenv("IOCTL"): import extra.hip_gpu_driver.hip_ioctl # noqa: F401 # pylint: disable=unused-import
if getenv("MOCKGPU"): import extra.mockgpu.mockgpu # noqa: F401 # pylint: disable=unused-import
def is_usable_gpu(gpu_id):
with contextlib.suppress(OSError): return int(pathlib.Path(gpu_id).read_text()) != 0
return False
regBIF_BX_PF1_GPU_HDP_FLUSH_REQ, regBIF_BX_PF1_GPU_HDP_FLUSH_DONE = 0x0106, 0x0107
# VGT_EVENT_TYPE in navi10_enum.h
CACHE_FLUSH_AND_INV_TS_EVENT = 0x14
WAIT_REG_MEM_FUNCTION_EQ = 3 # ==
WAIT_REG_MEM_FUNCTION_GEQ = 5 # >=
COMPUTE_SHADER_EN, FORCE_START_AT_000, CS_W32_EN = (1 << 0), (1 << 2), (1 << 15)
def gfxreg(reg): return reg + 0x00001260 - amd_gpu.PACKET3_SET_SH_REG_START
def nbioreg(reg): return reg + 0x00000d20 # NBIO_BASE__INST0_SEG2
class AMDSignal(HCQSignal):
def __init__(self, value=0, alloc_event=False):
self._signal = AMDDevice.signals_pool.pop()
self._value_addr, self._timestamp_addr = mv_address(self._signal), mv_address(self._signal) + 8
if alloc_event:
sync_event = kfd.AMDKFD_IOC_CREATE_EVENT(AMDDevice.kfd, auto_reset=1)
self._event_mailbox_ptr = AMDDevice.event_page.va_addr + sync_event.event_slot_index*8
self._event_id = sync_event.event_id
self._evt_array = (kfd.struct_kfd_event_data)(event_id=self._event_id)
else: self._event_mailbox_ptr = self._event_id = 0
super().__init__(value)
def __del__(self): AMDDevice.signals_pool.append(self._signal)
def _get_value(self) -> int: return self._signal[0]
def _get_timestamp(self) -> decimal.Decimal: return decimal.Decimal(self._signal[1]) / decimal.Decimal(100)
def _set_value(self, new_value:int): self._signal[0] = new_value
def wait(self, value:int, timeout:int=10000):
start_time = time.time() * 1000
while (time_spent:=time.time() * 1000 - start_time) < timeout:
if self._signal[0] >= value: return
# Wait active for 5s, then going to sleep.
if time_spent > 5000 and self._event_id != 0:
kfd.AMDKFD_IOC_WAIT_EVENTS(AMDDevice.kfd, events_ptr=ctypes.addressof(self._evt_array), num_events=1, wait_for_all=1, timeout=1000)
raise RuntimeError(f"wait_signal: not set to {value}, but {self._signal[0]}, {timeout} ms TIMEOUT!")
class AMDComputeQueue(HWComputeQueue):
def __init__(self):
self.cmd_idx_to_local_offset, self.cmd_idx_to_global_offset, self.cmd_idx_to_dispatch_packet = {}, {}, {}
super().__init__()
def __del__(self):
if self.binded_device is not None:
self.binded_device.allocator.free(self.hw_page, self.hw_page.size, BufferOptions(cpu_access=True, nolru=True, uncached=True))
def _acquire_mem(self, addr=0x0, sz=(1 << 64)-1, gli=1, glm=1, glk=1, glv=1, gl1=1, gl2=1):
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_ACQUIRE_MEM, 6), 0, *data64_le(sz), *data64_le(addr), 0,
amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLI_INV(gli) | \
amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLM_INV(glm) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLM_WB(glm) | \
amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLK_INV(glk) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLK_WB(glk) | \
amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GLV_INV(glv) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL1_INV(gl1) | \
amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL2_INV(gl2) | amd_gpu.PACKET3_ACQUIRE_MEM_GCR_CNTL_GL2_WB(gl2)]
def _release_mem(self, mem_event_type, mem_data_sel, mem_int_sel, address, value=0, cst=0, cache_flush=False):
cache_flush_flags = 0
if cache_flush:
cache_flush_flags = amd_gpu.PACKET3_RELEASE_MEM_GCR_GLV_INV | amd_gpu.PACKET3_RELEASE_MEM_GCR_GL1_INV | \
amd_gpu.PACKET3_RELEASE_MEM_GCR_GL2_INV | amd_gpu.PACKET3_RELEASE_MEM_GCR_GLM_WB | amd_gpu.PACKET3_RELEASE_MEM_GCR_GLM_INV | \
amd_gpu.PACKET3_RELEASE_MEM_GCR_GL2_WB | amd_gpu.PACKET3_RELEASE_MEM_GCR_SEQ
# event_index__mec_release_mem__end_of_pipe = 5
# event_index__mec_release_mem__shader_done = 6
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_RELEASE_MEM, 6),
amd_gpu.PACKET3_RELEASE_MEM_EVENT_TYPE(mem_event_type) | amd_gpu.PACKET3_RELEASE_MEM_EVENT_INDEX(5) | cache_flush_flags,
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),
*data64_le(address), *data64_le(value), cst]
def _memory_barrier(self):
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) | \
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),
nbioreg(regBIF_BX_PF1_GPU_HDP_FLUSH_DONE), 0xffffffff, 0xffffffff, 0x20]
self._acquire_mem()
def _exec(self, prg, args_state, global_size:Tuple[int,int,int]=(1,1,1), local_size:Tuple[int,int,int]=(1,1,1)):
self._acquire_mem(gli=0, gl2=0)
cmd_idx = self._cur_cmd_idx()
user_regs = [*data64_le(prg.device.scratch.va_addr), 0xffffffff, 0xc00000] if prg.enable_private_segment_sgpr else []
if prg.enable_dispatch_ptr:
dp = hsa.hsa_kernel_dispatch_packet_t.from_address(dp_addr:=args_state.ptr + prg.kernargs_segment_size)
dp.workgroup_size_x, dp.workgroup_size_y, dp.workgroup_size_z = local_size[0], local_size[1], local_size[2]
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]
dp.group_segment_size, dp.private_segment_size, dp.kernarg_address = prg.group_segment_size, prg.private_segment_size, args_state.ptr
user_regs += [*data64_le(dp_addr)]
self.cmd_idx_to_dispatch_packet[cmd_idx] = dp
user_regs += [*data64_le(args_state.ptr)]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_PGM_LO), *data64_le(prg.prog_addr >> 8)]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_PGM_RSRC1), prg.rsrc1, prg.rsrc2]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.regCOMPUTE_PGM_RSRC3), 0]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.regCOMPUTE_TMPRING_SIZE), prg.device.tmpring_size]
if prg.device.has_scratch_base_registers:
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2),
gfxreg(amd_gpu.regCOMPUTE_DISPATCH_SCRATCH_BASE_LO), *data64_le(prg.device.scratch.va_addr >> 8)]
if prg.device.target < 110000: self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.mmCP_COHER_START_DELAY), 0x20]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 4), gfxreg(amd_gpu.regCOMPUTE_RESTART_X), 0, 0, 0, 0]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE0)] + [0xFFFFFFFF] * 2
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 2), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE2)] + [0xFFFFFFFF] * 2
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 4), gfxreg(amd_gpu.regCOMPUTE_STATIC_THREAD_MGMT_SE4)] + [0xFFFFFFFF] * 4
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, len(user_regs)), gfxreg(amd_gpu.regCOMPUTE_USER_DATA_0)] + user_regs
self.cmd_idx_to_local_offset[cmd_idx] = len(self.q) - self.cmds_offset[cmd_idx] + 5 # +1 to skip PACKET3_SET_SH_REG + reg + 3 zeros.
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]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_SET_SH_REG, 1), gfxreg(amd_gpu.regCOMPUTE_RESOURCE_LIMITS), 0]
self.cmd_idx_to_global_offset[cmd_idx] = len(self.q) - self.cmds_offset[cmd_idx] + 1 # +1 to skip PACKET3_DISPATCH_DIRECT.
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_DISPATCH_DIRECT, 3), *global_size, CS_W32_EN | FORCE_START_AT_000 | COMPUTE_SHADER_EN]
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_EVENT_WRITE, 0), amd_gpu.EVENT_TYPE(7) | amd_gpu.EVENT_INDEX(4)]
def _update_exec(self, cmd_idx, global_size, local_size):
if local_size is not None: self._patch(cmd_idx, offset=self.cmd_idx_to_local_offset[cmd_idx], data=local_size)
if global_size is not None: self._patch(cmd_idx, offset=self.cmd_idx_to_global_offset[cmd_idx], data=global_size)
if (dp:=self.cmd_idx_to_dispatch_packet.get(cmd_idx)) is not None:
if local_size is not None: dp.workgroup_size_x, dp.workgroup_size_y, dp.workgroup_size_z = local_size[0], local_size[1], local_size[2]
if global_size is not None:
dp.grid_size_x,dp.grid_size_y,dp.grid_size_z = [g*l for g,l in zip(global_size,[dp.workgroup_size_x,dp.workgroup_size_y,dp.workgroup_size_z])]
def _wait(self, signal, value=0):
self.q += [amd_gpu.PACKET3(amd_gpu.PACKET3_WAIT_REG_MEM, 5),
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) | \
amd_gpu.WAIT_REG_MEM_ENGINE(0), *data64_le(signal._value_addr), value, 0xffffffff, 4]
def _timestamp(self, signal): self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=3, mem_int_sel=0, address=signal._timestamp_addr)
def _signal(self, signal, value=0):
# NOTE: this needs an EOP buffer on the queue or it will NULL pointer
self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=1, mem_int_sel=2, address=signal._value_addr, value=value, cache_flush=True)
if signal._event_mailbox_ptr != 0:
self._release_mem(CACHE_FLUSH_AND_INV_TS_EVENT, mem_data_sel=1, mem_int_sel=2, address=signal._event_mailbox_ptr,
value=signal._event_id, cst=signal._event_id, cache_flush=False)
def _update_wait(self, cmd_idx, signal=None, value=None):
if signal is not None: self._patch(cmd_idx, offset=2, data=data64_le(signal._value_addr))
if value is not None: self._patch(cmd_idx, offset=4, data=[value])
def _update_signal(self, cmd_idx, signal=None, value=None):
if signal is not None: self._patch(cmd_idx, offset=3, data=data64_le(signal._value_addr))
if value is not None: self._patch(cmd_idx, offset=5, data=data64_le(value))
# Check if the signal command has mailptr part
if signal is not None and self.cmds_len[cmd_idx] > 8:
self._patch(cmd_idx, offset=11, data=[*data64_le(signal._event_mailbox_ptr), *data64_le(signal._event_id), signal._event_id])
def bind(self, device):
self.binded_device = device
self.hw_page = device.allocator.alloc(len(self.q) * 4, BufferOptions(cpu_access=True, nolru=True, uncached=True))
hw_view = to_mv(self.hw_page.va_addr, self.hw_page.size).cast("I")
for i, value in enumerate(self.q): hw_view[i] = value
self.indirect_cmd = [amd_gpu.PACKET3(amd_gpu.PACKET3_INDIRECT_BUFFER, 2), *data64_le(self.hw_page.va_addr),
len(self.q) | amd_gpu.INDIRECT_BUFFER_VALID]
self.q = hw_view # type: ignore
def _submit(self, device):
cmds = self.indirect_cmd if device == self.binded_device else self.q
for i, value in enumerate(cmds): device.compute_queue.ring[(device.compute_queue.put_value + i) % len(device.compute_queue.ring)] = value
device.compute_queue.put_value += len(cmds)
device.compute_queue.write_ptr[0] = device.compute_queue.put_value
device.compute_queue.doorbell[0] = device.compute_queue.put_value
SDMA_MAX_COPY_SIZE = 0x400000
class AMDCopyQueue(HWCopyQueue):
def __init__(self):
self.internal_cmd_sizes, self.copy_cmds_per_copy = [], {}
super().__init__()
def _q(self, arr):
self.q += arr
self.internal_cmd_sizes.append(len(arr))
def _copy(self, dest, src, copy_size):
copied, copy_commands = 0, (copy_size + SDMA_MAX_COPY_SIZE - 1) // SDMA_MAX_COPY_SIZE
self.copy_cmds_per_copy[len(self) - 1] = copy_commands
for _ in range(copy_commands):
step_copy_size = min(copy_size - copied, SDMA_MAX_COPY_SIZE)
self._q([amd_gpu.SDMA_OP_COPY | amd_gpu.SDMA_PKT_COPY_LINEAR_HEADER_SUB_OP(amd_gpu.SDMA_SUBOP_COPY_LINEAR),
amd_gpu.SDMA_PKT_COPY_LINEAR_COUNT_COUNT(step_copy_size - 1), 0, *data64_le(src + copied), *data64_le(dest + copied)])
copied += step_copy_size
def _update_copy(self, cmd_idx, dest=None, src=None):
for i in range(self.copy_cmds_per_copy[cmd_idx]):
if src is not None: self._patch(cmd_idx, offset=3+i*7, data=[*data64_le(src + SDMA_MAX_COPY_SIZE*i)])
if dest is not None: self._patch(cmd_idx, offset=5+i*7, data=[*data64_le(dest + SDMA_MAX_COPY_SIZE*i)])
def _signal(self, signal, value=0):
self._q([amd_gpu.SDMA_OP_FENCE | amd_gpu.SDMA_PKT_FENCE_HEADER_MTYPE(3), *data64_le(signal._value_addr), value])
if signal._event_mailbox_ptr != 0:
self._q([amd_gpu.SDMA_OP_FENCE | amd_gpu.SDMA_PKT_FENCE_HEADER_MTYPE(3), *data64_le(signal._event_mailbox_ptr), signal._event_id])
self._q([amd_gpu.SDMA_OP_TRAP, amd_gpu.SDMA_PKT_TRAP_INT_CONTEXT_INT_CONTEXT(signal._event_id)])
def _wait(self, signal, value=0):
self._q([amd_gpu.SDMA_OP_POLL_REGMEM | amd_gpu.SDMA_PKT_POLL_REGMEM_HEADER_FUNC(WAIT_REG_MEM_FUNCTION_GEQ) | \
amd_gpu.SDMA_PKT_POLL_REGMEM_HEADER_MEM_POLL(1), *data64_le(signal._value_addr), value, 0xffffffff,
amd_gpu.SDMA_PKT_POLL_REGMEM_DW5_INTERVAL(0x04) | amd_gpu.SDMA_PKT_POLL_REGMEM_DW5_RETRY_COUNT(0xfff)])
def _update_signal(self, cmd_idx, signal=None, value=None): return self._update_wait(cmd_idx, signal, value) # the same offsets and commands
def _update_wait(self, cmd_idx, signal=None, value=None):
if signal is not None: self._patch(cmd_idx, offset=1, data=data64_le(signal._value_addr))
if value is not None: self._patch(cmd_idx, offset=3, data=[value])
def _timestamp(self, signal):
self._q([amd_gpu.SDMA_OP_TIMESTAMP | amd_gpu.SDMA_PKT_TIMESTAMP_GET_HEADER_SUB_OP(amd_gpu.SDMA_SUBOP_TIMESTAMP_GET_GLOBAL),
*data64_le(signal._timestamp_addr)])
def _submit(self, device):
if device.sdma_queue.put_value - device.sdma_queue.read_ptr[0] > device.sdma_queue.ring.nbytes: raise RuntimeError("SDMA queue overrun")
tail_blit_dword = 0
for cmdsz in self.internal_cmd_sizes:
if (tail_blit_dword + cmdsz) * 4 >= device.sdma_queue.ring.nbytes - device.sdma_queue.put_value % device.sdma_queue.ring.nbytes: break
tail_blit_dword += cmdsz
start_idx = (device.sdma_queue.put_value % device.sdma_queue.ring.nbytes) // 4
device.sdma_queue.ring[start_idx : start_idx + tail_blit_dword] = array.array('I', self.q[:tail_blit_dword])
device.sdma_queue.put_value += tail_blit_dword * 4
if (rem_packet_cnt := len(self.q) - tail_blit_dword) > 0:
zero_fill = device.sdma_queue.ring.nbytes - device.sdma_queue.put_value % device.sdma_queue.ring.nbytes
ctypes.memset(mv_address(device.sdma_queue.ring) + (device.sdma_queue.put_value % device.sdma_queue.ring.nbytes), 0, zero_fill)
device.sdma_queue.put_value += zero_fill
device.sdma_queue.ring[0:rem_packet_cnt] = array.array('I', self.q[tail_blit_dword:])
device.sdma_queue.put_value += rem_packet_cnt * 4
device.sdma_queue.write_ptr[0] = device.sdma_queue.put_value
device.sdma_queue.doorbell[0] = device.sdma_queue.put_value
class AMDArgsState(HCQArgsState):
def __init__(self, ptr:int, prg:AMDProgram, bufs:Tuple[HCQBuffer, ...], vals:Tuple[int, ...]=()):
super().__init__(ptr, prg, bufs, vals=vals)
self.bufs = to_mv(self.ptr, len(bufs) * 8).cast('Q')
self.vals = to_mv(self.ptr + len(bufs) * 8, len(vals) * 4).cast('I')
self.bufs[:] = array.array('Q', [b.va_addr for b in bufs])
self.vals[:] = array.array('I', vals)
def update_buffer(self, index:int, buf:HCQBuffer): self.bufs[index] = buf.va_addr
def update_var(self, index:int, val:int): self.vals[index] = val
class AMDProgram(HCQProgram):
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.allocator.alloc(round_up(image.nbytes, 0x1000), BufferOptions(cpu_access=True, nolru=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[entry_point:entry_point+4].cast("I")[0]
self.private_segment_size = image[entry_point+4:entry_point+8].cast("I")[0]
self.kernargs_segment_size = image[entry_point+8:entry_point+12].cast("I")[0]
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
assert code.kernel_code_properties & 0x400 == 0x400 # ENABLE_WAVEFRONT_SIZE32
self.rsrc1 = code.compute_pgm_rsrc1
self.rsrc2 = code.compute_pgm_rsrc2 | (lds_size << 15)
self.prog_addr = self.lib_gpu.va_addr + entry_point + code.kernel_code_entry_byte_offset
# Some programs use hsa_kernel_dispatch_packet_t to read workgroup sizes during execution.
# The packet is represented as a pointer and set up in SGPRs. Space for the packet is allocated as part of the kernel arguments.
self.enable_dispatch_ptr = code.kernel_code_properties & hsa.AMD_KERNEL_CODE_PROPERTIES_ENABLE_SGPR_DISPATCH_PTR
self.enable_private_segment_sgpr = code.kernel_code_properties & hsa.AMD_KERNEL_CODE_PROPERTIES_ENABLE_SGPR_PRIVATE_SEGMENT_BUFFER
additional_alloc_sz = ctypes.sizeof(hsa.hsa_kernel_dispatch_packet_t) if self.enable_dispatch_ptr else 0
super().__init__(AMDArgsState, self.device, self.name, kernargs_alloc_size=self.kernargs_segment_size+additional_alloc_sz)
def __del__(self):
if hasattr(self, 'lib_gpu'): self.device.allocator.free(self.lib_gpu, self.lib_gpu.size, BufferOptions(cpu_access=True, nolru=True))
class AMDAllocator(HCQAllocator):
def __init__(self, device:AMDDevice): super().__init__(device, batch_size=SDMA_MAX_COPY_SIZE)
def _alloc(self, size:int, options:BufferOptions) -> HCQBuffer:
if options.host: return self.device._gpu_alloc(size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_USERPTR, public=True)
if options.cpu_access and options.uncached: return self.device._gpu_alloc(size, kfd.KFD_IOC_ALLOC_MEM_FLAGS_GTT, uncached=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.synchronize()
self.device._gpu_free(opaque)
def map(self, buf:HCQBuffer): self.device._gpu_map(buf._base if hasattr(buf, '_base') else buf)
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(HCQCompiled):
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[memoryview] = []
gpus:List[pathlib.Path] = []
def _gpu_map(self, 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 = kfd.AMDKFD_IOC_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 = kfd.AMDKFD_IOC_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 = kfd.AMDKFD_IOC_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)
kfd.AMDKFD_IOC_FREE_MEMORY_OF_GPU(self.kfd, handle=mem.handle)
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)
self.target = int(self.properties['gfx_target_version'])
self.arch = "gfx%d%x%x" % (self.target // 10000, (self.target // 100) % 100, self.target % 100)
if self.target < 100300 or self.target >= 120000: raise RuntimeError(f"Unsupported arch: {self.arch}")
kfd.AMDKFD_IOC_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(16 * 65536, 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)
AMDDevice.signals_pool = [to_mv(self.signals_page.va_addr + off, 16).cast("Q") for off in range(0, AMDDevice.signals_page.size, 16)]
kfd.AMDKFD_IOC_CREATE_EVENT(AMDDevice.kfd, event_page_offset=AMDDevice.event_page.handle)
else:
self._gpu_map(AMDDevice.signals_page)
self._gpu_map(AMDDevice.event_page)
# 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)
self.has_scratch_base_registers = self.target >= 110000
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)
super().__init__(device, AMDAllocator(self), AMDRenderer(), AMDCompiler(self.arch), functools.partial(AMDProgram, self),
AMDSignal, AMDComputeQueue, AMDCopyQueue, (AMDSignal(alloc_event=True), AMDSignal(alloc_event=True)))
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 = kfd.AMDKFD_IOC_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 invalidate_caches(self):
AMDComputeQueue().memory_barrier().signal(self.timeline_signal, self.timeline_value).submit(self)
self.timeline_value += 1
self.synchronize()