Extract reusable VMM shareable-handle helpers from register_graph_inputs (#29621)
This commit is contained in:
Ming Yang
@@ -12,7 +12,7 @@ from sglang.srt.distributed.device_communicators.custom_all_reduce_utils import
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can_use_custom_all_reduce_with_nvlink,
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is_weak_contiguous,
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)
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from sglang.srt.distributed.device_communicators.custom_all_reduce_vmm_utils import (
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from sglang.srt.distributed.device_communicators.vmm_utils import (
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VmmGraphInputManager,
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is_vmm_pointer,
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)
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+320
-245
@@ -27,7 +27,7 @@ def _get_cuda_driver():
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return _drv
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def _check_drv(result_tuple, label):
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def check_drv(result_tuple, label):
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"""Check a cuda.bindings driver call result and return the value."""
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if not isinstance(result_tuple, tuple):
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result_tuple = (result_tuple,)
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@@ -52,6 +52,36 @@ def is_vmm_pointer(ptr: int) -> bool:
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return False
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def make_rw_access_desc(device_id: int):
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"""A read-write, device-local ``CUmemAccessDesc`` for ``device_id``."""
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drv = _get_cuda_driver()
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desc = drv.CUmemAccessDesc()
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desc.location.type = drv.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
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desc.location.id = device_id
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desc.flags = drv.CUmemAccess_flags.CU_MEM_ACCESS_FLAGS_PROT_READWRITE
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return desc
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def all_ranks_ok(group: ProcessGroup, ok: bool) -> bool:
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"""True iff ``ok`` holds on every rank in ``group`` (BAND all-reduce)."""
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flag = torch.tensor([1 if ok else 0], dtype=torch.int32)
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dist.all_reduce(flag, op=dist.ReduceOp.BAND, group=group)
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return flag.item() == 1
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def release_mappings(mappings) -> None:
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"""Unmap + address-free each ``(va, span_size, [(rel, size), ...])`` mapping.
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Pops from ``mappings`` so a partially-released list is safe to retry.
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"""
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drv = _get_cuda_driver()
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while mappings:
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va, span_size, mapped_chunks = mappings.pop()
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for rel, size in mapped_chunks:
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check_drv(drv.cuMemUnmap(int(va) + int(rel), int(size)), "cuMemUnmap")
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check_drv(drv.cuMemAddressFree(int(va), int(span_size)), "cuMemAddressFree")
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def _send_fd(sock, fd: int, src_rank: int, base_idx: int) -> None:
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import array
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import socket
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@@ -94,6 +124,259 @@ def _recv_fd(sock):
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return int(src_rank), int(base_idx), int(fds[0])
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def export_shareable_handles(retained_handles, group: ProcessGroup, rank: int):
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"""Export retained VMM handles, preferring FABRIC and falling back to POSIX fds.
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FABRIC is used only if every rank can export it; otherwise all ranks use POSIX
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fds. Returns ``(fabric_handles, posix_fds, use_fabric)`` (one list populated);
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raises if both fail on any rank. Caller owns the returned ``posix_fds``.
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"""
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drv = _get_cuda_driver()
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FABRIC = drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_FABRIC
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POSIX_FD = drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR
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fabric_handles: List[bytes] = []
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fabric_error: Optional[Exception] = None
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try:
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for alloc_h in retained_handles:
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fabric_h = check_drv(
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drv.cuMemExportToShareableHandle(alloc_h, FABRIC, 0),
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"cuMemExportToShareableHandle(FABRIC)",
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)
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fabric_handles.append(bytes(fabric_h.data))
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fabric_ok = True
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except Exception as e:
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fabric_error = e
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fabric_ok = False
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fabric_handles = []
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logger.info(
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"FABRIC handle export failed on rank %s; falling back to "
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"POSIX fd transport: %s",
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rank,
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e,
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)
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if all_ranks_ok(group, fabric_ok):
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return fabric_handles, [], True
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posix_fds: List[int] = []
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posix_error: Optional[Exception] = None
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try:
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for alloc_h in retained_handles:
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fd = check_drv(
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drv.cuMemExportToShareableHandle(alloc_h, POSIX_FD, 0),
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"cuMemExportToShareableHandle(POSIX_FD)",
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)
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posix_fds.append(int(fd))
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posix_ok = True
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except Exception as e:
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posix_error = e
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posix_ok = False
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for fd in posix_fds:
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try:
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os.close(fd)
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except OSError:
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pass
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posix_fds = []
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if not all_ranks_ok(group, posix_ok):
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cause = posix_error or fabric_error
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message = (
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"VMM handle export failed: FABRIC export failed on at least one "
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"rank and POSIX fd export failed on at least one rank"
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)
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if cause is not None:
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message += f"; local rank {rank} error: {cause}"
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raise RuntimeError(message) from posix_error
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return [], posix_fds, False
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def exchange_posix_fds(
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group: ProcessGroup,
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rank: int,
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world_size: int,
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local_fds: List[int],
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peer_base_counts: List[int],
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):
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"""Exchange POSIX file descriptors across ranks via SCM_RIGHTS over a UNIX
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socket. Returns ``{(src_rank, base_idx): fd}`` for every peer. The caller
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owns the received fds and must close them.
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"""
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import socket
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import tempfile
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import threading
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sock_kind = getattr(socket, "SOCK_SEQPACKET", socket.SOCK_STREAM)
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sock_dir = tempfile.mkdtemp(prefix="sgl_ar_fd_")
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sock_path = os.path.join(sock_dir, f"rank_{rank}.sock")
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server = socket.socket(socket.AF_UNIX, sock_kind)
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server.settimeout(_FD_SEND_TIMEOUT_S)
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received_fds = {}
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errors = []
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def recv_loop():
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try:
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for _ in range(world_size - 1):
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conn, _ = server.accept()
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with conn:
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conn.settimeout(_FD_SEND_TIMEOUT_S)
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while True:
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packet = _recv_fd(conn)
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if packet is None:
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break
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src_rank, base_idx, fd = packet
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key = (src_rank, base_idx)
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if key in received_fds:
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os.close(fd)
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raise RuntimeError(f"duplicate fd for {key}")
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received_fds[key] = fd
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except BaseException as e:
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errors.append(e)
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try:
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server.bind(sock_path)
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server.listen(world_size)
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paths = [None] * world_size
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dist.all_gather_object(paths, sock_path, group=group)
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thread = threading.Thread(target=recv_loop, daemon=True)
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thread.start()
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try:
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for peer_rank, peer_path in enumerate(paths):
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if peer_rank == rank:
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continue
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with socket.socket(socket.AF_UNIX, sock_kind) as sock:
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sock.settimeout(_FD_SEND_TIMEOUT_S)
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sock.connect(peer_path)
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for base_idx, fd in enumerate(local_fds):
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_send_fd(sock, fd, rank, base_idx)
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finally:
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thread.join(_FD_SEND_TIMEOUT_S)
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if thread.is_alive():
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raise RuntimeError("timed out waiting for POSIX fd exchange")
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if errors:
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raise RuntimeError("POSIX fd exchange receive failed") from errors[0]
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expected = {
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(src_rank, base_idx)
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for src_rank, count in enumerate(peer_base_counts)
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if src_rank != rank
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for base_idx in range(count)
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}
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missing = expected.difference(received_fds)
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extra = set(received_fds).difference(expected)
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if missing or extra:
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for fd in received_fds.values():
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os.close(fd)
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raise RuntimeError(
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"POSIX fd exchange mismatch: "
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f"missing={sorted(missing)[:8]}, extra={sorted(extra)[:8]}"
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)
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return received_fds
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finally:
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server.close()
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try:
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os.unlink(sock_path)
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except FileNotFoundError:
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pass
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try:
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os.rmdir(sock_dir)
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except OSError:
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pass
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def import_peer_handle(fabric_handle, fd, *, use_fabric: bool, peer_rank: int):
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"""Import a peer allocation handle (FABRIC or POSIX fd). Returns the handle.
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For POSIX the fd is duped before import so the caller keeps ownership of the
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original.
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"""
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drv = _get_cuda_driver()
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if use_fabric:
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FABRIC = drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_FABRIC
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return check_drv(
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drv.cuMemImportFromShareableHandle(fabric_handle, FABRIC),
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f"cuMemImportFromShareableHandle(rank={peer_rank})",
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)
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POSIX_FD = drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR
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dup_fd = os.dup(fd)
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try:
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return check_drv(
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drv.cuMemImportFromShareableHandle(dup_fd, POSIX_FD),
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f"cuMemImportFromShareableHandle(rank={peer_rank}, POSIX_FD)",
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)
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finally:
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try:
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os.close(dup_fd)
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except OSError:
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pass
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def import_and_map_alloc(
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fabric_handle,
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fd,
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alloc_size: int,
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device_id: int,
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*,
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use_fabric: bool,
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peer_rank: int,
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) -> int:
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"""Import a peer allocation, map it at a freshly reserved VA, return the VA."""
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drv = _get_cuda_driver()
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imp_h = import_peer_handle(
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fabric_handle, fd, use_fabric=use_fabric, peer_rank=peer_rank
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)
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prop = check_drv(
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drv.cuMemGetAllocationPropertiesFromHandle(imp_h),
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"cuMemGetAllocationPropertiesFromHandle",
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)
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gran = check_drv(
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drv.cuMemGetAllocationGranularity(
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prop,
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drv.CUmemAllocationGranularity_flags.CU_MEM_ALLOC_GRANULARITY_RECOMMENDED,
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),
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"cuMemGetAllocationGranularity",
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)
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va = check_drv(
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drv.cuMemAddressReserve(alloc_size, int(gran), 0, 0), "cuMemAddressReserve"
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)
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check_drv(drv.cuMemMap(int(va), alloc_size, 0, imp_h, 0), "cuMemMap")
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access = make_rw_access_desc(device_id)
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check_drv(drv.cuMemSetAccess(int(va), alloc_size, [access], 1), "cuMemSetAccess")
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check_drv(drv.cuMemRelease(imp_h), "cuMemRelease(peer)")
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return int(va)
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def map_chunk_into_span(
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fabric_handle,
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fd,
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span_va: int,
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rel: int,
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alloc_size: int,
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device_id: int,
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*,
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use_fabric: bool,
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peer_rank: int,
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) -> None:
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"""Import + map a peer chunk into a caller-reserved span at ``span_va + rel``."""
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drv = _get_cuda_driver()
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imp_h = import_peer_handle(
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fabric_handle, fd, use_fabric=use_fabric, peer_rank=peer_rank
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)
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check_drv(
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drv.cuMemMap(int(span_va) + rel, int(alloc_size), 0, imp_h, 0),
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"cuMemMap(span)",
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)
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access = make_rw_access_desc(device_id)
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check_drv(
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drv.cuMemSetAccess(int(span_va) + rel, int(alloc_size), [access], 1),
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"cuMemSetAccess(span)",
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)
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check_drv(drv.cuMemRelease(imp_h), "cuMemRelease(span)")
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class VmmGraphInputManager:
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def __init__(
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self,
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@@ -117,11 +400,6 @@ class VmmGraphInputManager:
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allocations, then registers the peer VAs. FABRIC handles are preferred;
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POSIX file descriptors are used when FABRIC is unavailable.
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"""
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drv = _get_cuda_driver()
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FABRIC = drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_FABRIC
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POSIX_FD = (
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drv.CUmemAllocationHandleType.CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR
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)
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FABRIC_HANDLE_BYTES = 64
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MAX_VMM_BASES = 4096
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MAX_CHUNKS_PER_INPUT = 16
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@@ -142,68 +420,20 @@ class VmmGraphInputManager:
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f"Too many VMM bases to share: {num_bases} > {MAX_VMM_BASES}"
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)
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local_fabric_handles: List[bytes] = []
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drv = _get_cuda_driver()
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local_posix_fds: List[int] = []
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retained_handles = []
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try:
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for base_ptr, _ in bases_info:
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alloc_h = _check_drv(
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alloc_h = check_drv(
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drv.cuMemRetainAllocationHandle(base_ptr),
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"cuMemRetainAllocationHandle",
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)
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retained_handles.append(alloc_h)
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local_fabric_error: Optional[Exception] = None
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try:
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for alloc_h in retained_handles:
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fabric_h = _check_drv(
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drv.cuMemExportToShareableHandle(alloc_h, FABRIC, 0),
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"cuMemExportToShareableHandle(FABRIC)",
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)
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local_fabric_handles.append(bytes(fabric_h.data))
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local_fabric_ok = True
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except Exception as e:
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local_fabric_error = e
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local_fabric_ok = False
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local_fabric_handles = []
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logger.info(
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"FABRIC handle export failed on rank %s; falling back to "
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"POSIX fd transport: %s",
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self.rank,
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e,
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)
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use_fabric = self._all_ranks_ok(local_fabric_ok)
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if not use_fabric:
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local_posix_error: Optional[Exception] = None
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try:
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for alloc_h in retained_handles:
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fd = _check_drv(
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drv.cuMemExportToShareableHandle(alloc_h, POSIX_FD, 0),
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"cuMemExportToShareableHandle(POSIX_FD)",
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)
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local_posix_fds.append(int(fd))
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local_posix_ok = True
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except Exception as e:
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local_posix_error = e
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local_posix_ok = False
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for fd in local_posix_fds:
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try:
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os.close(fd)
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except OSError:
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pass
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local_posix_fds = []
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if not self._all_ranks_ok(local_posix_ok):
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local_cause = local_posix_error or local_fabric_error
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message = (
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"VMM graph input registration failed: FABRIC export "
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"failed on at least one rank and POSIX fd export failed "
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"on at least one rank"
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)
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if local_cause is not None:
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message += f"; local rank {self.rank} error: {local_cause}"
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raise RuntimeError(message) from local_posix_error
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local_fabric_handles, local_posix_fds, use_fabric = (
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export_shareable_handles(retained_handles, self.group, self.rank)
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)
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local_input_chunks = [
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[int(idx) for idx in indices] for indices in input_chunk_indices
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@@ -304,7 +534,10 @@ class VmmGraphInputManager:
|
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posix_peer_fds = {}
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if not use_fabric:
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posix_peer_fds = self._exchange_posix_fds(
|
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posix_peer_fds = exchange_posix_fds(
|
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self.group,
|
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self.rank,
|
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self.world_size,
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local_posix_fds,
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[len(peer_bases) for peer_bases in all_base_payload],
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||||
)
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@@ -316,25 +549,6 @@ class VmmGraphInputManager:
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peer_span_va = {} # (rank, chunk_indices...) -> (local VA, peer base)
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new_mappings = []
|
||||
|
||||
def import_peer_handle(peer_rank: int, base_idx: int, fabric_handle):
|
||||
if use_fabric:
|
||||
return _check_drv(
|
||||
drv.cuMemImportFromShareableHandle(fabric_handle, FABRIC),
|
||||
f"cuMemImportFromShareableHandle(rank={peer_rank})",
|
||||
)
|
||||
fd = posix_peer_fds[(peer_rank, base_idx)]
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||||
dup_fd = os.dup(fd)
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try:
|
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return _check_drv(
|
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drv.cuMemImportFromShareableHandle(dup_fd, POSIX_FD),
|
||||
f"cuMemImportFromShareableHandle(rank={peer_rank}, POSIX_FD)",
|
||||
)
|
||||
finally:
|
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try:
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os.close(dup_fd)
|
||||
except OSError:
|
||||
pass
|
||||
|
||||
try:
|
||||
for peer_rank in range(self.world_size):
|
||||
if peer_rank == self.rank:
|
||||
@@ -344,41 +558,17 @@ class VmmGraphInputManager:
|
||||
|
||||
peer_bases = all_base_payload[peer_rank]
|
||||
for idx, (_, fb, alloc_size) in enumerate(peer_bases):
|
||||
imp_h = import_peer_handle(peer_rank, idx, fb)
|
||||
prop = _check_drv(
|
||||
drv.cuMemGetAllocationPropertiesFromHandle(imp_h),
|
||||
"cuMemGetAllocationPropertiesFromHandle",
|
||||
fd = None if use_fabric else posix_peer_fds[(peer_rank, idx)]
|
||||
va = import_and_map_alloc(
|
||||
fb,
|
||||
fd,
|
||||
alloc_size,
|
||||
device_id,
|
||||
use_fabric=use_fabric,
|
||||
peer_rank=peer_rank,
|
||||
)
|
||||
gran = _check_drv(
|
||||
drv.cuMemGetAllocationGranularity(
|
||||
prop,
|
||||
drv.CUmemAllocationGranularity_flags.CU_MEM_ALLOC_GRANULARITY_RECOMMENDED,
|
||||
),
|
||||
"cuMemGetAllocationGranularity",
|
||||
)
|
||||
va = _check_drv(
|
||||
drv.cuMemAddressReserve(alloc_size, int(gran), 0, 0),
|
||||
"cuMemAddressReserve",
|
||||
)
|
||||
_check_drv(
|
||||
drv.cuMemMap(int(va), alloc_size, 0, imp_h, 0),
|
||||
"cuMemMap",
|
||||
)
|
||||
access = drv.CUmemAccessDesc()
|
||||
access.location.type = (
|
||||
drv.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
|
||||
)
|
||||
access.location.id = device_id
|
||||
access.flags = (
|
||||
drv.CUmemAccess_flags.CU_MEM_ACCESS_FLAGS_PROT_READWRITE
|
||||
)
|
||||
_check_drv(
|
||||
drv.cuMemSetAccess(int(va), alloc_size, [access], 1),
|
||||
"cuMemSetAccess",
|
||||
)
|
||||
peer_base_va[(peer_rank, idx)] = int(va)
|
||||
new_mappings.append((int(va), alloc_size, [(0, alloc_size)]))
|
||||
_check_drv(drv.cuMemRelease(imp_h), "cuMemRelease(peer)")
|
||||
peer_base_va[(peer_rank, idx)] = va
|
||||
new_mappings.append((va, alloc_size, [(0, alloc_size)]))
|
||||
|
||||
# Build per-input peer VA lists and register.
|
||||
peer_ptrs = []
|
||||
@@ -402,7 +592,7 @@ class VmmGraphInputManager:
|
||||
if rank == self.rank:
|
||||
span_va = int(first_base)
|
||||
else:
|
||||
span_va = _check_drv(
|
||||
span_va = check_drv(
|
||||
drv.cuMemAddressReserve(span_size, 0, 0, 0),
|
||||
"cuMemAddressReserve(span)",
|
||||
)
|
||||
@@ -410,38 +600,22 @@ class VmmGraphInputManager:
|
||||
for chunk_idx in chunks:
|
||||
base_ptr, fb, alloc_size = peer_bases[chunk_idx]
|
||||
rel = int(base_ptr) - int(first_base)
|
||||
imp_h = import_peer_handle(rank, chunk_idx, fb)
|
||||
_check_drv(
|
||||
drv.cuMemMap(
|
||||
int(span_va) + rel,
|
||||
int(alloc_size),
|
||||
0,
|
||||
imp_h,
|
||||
0,
|
||||
),
|
||||
"cuMemMap(span)",
|
||||
fd = (
|
||||
None
|
||||
if use_fabric
|
||||
else posix_peer_fds[(rank, chunk_idx)]
|
||||
)
|
||||
access = drv.CUmemAccessDesc()
|
||||
access.location.type = (
|
||||
drv.CUmemLocationType.CU_MEM_LOCATION_TYPE_DEVICE
|
||||
)
|
||||
access.location.id = device_id
|
||||
access.flags = (
|
||||
drv.CUmemAccess_flags.CU_MEM_ACCESS_FLAGS_PROT_READWRITE
|
||||
)
|
||||
_check_drv(
|
||||
drv.cuMemSetAccess(
|
||||
int(span_va) + rel,
|
||||
int(alloc_size),
|
||||
[access],
|
||||
1,
|
||||
),
|
||||
"cuMemSetAccess(span)",
|
||||
map_chunk_into_span(
|
||||
fb,
|
||||
fd,
|
||||
span_va,
|
||||
rel,
|
||||
int(alloc_size),
|
||||
device_id,
|
||||
use_fabric=use_fabric,
|
||||
peer_rank=rank,
|
||||
)
|
||||
mapped_chunks.append((rel, int(alloc_size)))
|
||||
_check_drv(
|
||||
drv.cuMemRelease(imp_h), "cuMemRelease(span)"
|
||||
)
|
||||
new_mappings.append(
|
||||
(int(span_va), span_size, mapped_chunks)
|
||||
)
|
||||
@@ -454,7 +628,7 @@ class VmmGraphInputManager:
|
||||
self.obj.register_peer_mapped_inputs(peer_ptrs)
|
||||
self._peer_mappings.extend(new_mappings)
|
||||
except Exception:
|
||||
self._release_peer_mappings(new_mappings)
|
||||
release_mappings(new_mappings)
|
||||
raise
|
||||
finally:
|
||||
for fd in posix_peer_fds.values():
|
||||
@@ -472,108 +646,9 @@ class VmmGraphInputManager:
|
||||
for fd in local_posix_fds:
|
||||
os.close(fd)
|
||||
for h in retained_handles:
|
||||
_check_drv(drv.cuMemRelease(h), "cuMemRelease(retained)")
|
||||
check_drv(drv.cuMemRelease(h), "cuMemRelease(retained)")
|
||||
|
||||
def close(self):
|
||||
if not self._peer_mappings:
|
||||
return
|
||||
self._release_peer_mappings(self._peer_mappings)
|
||||
|
||||
def _all_ranks_ok(self, ok: bool) -> bool:
|
||||
flag = torch.tensor([1 if ok else 0], dtype=torch.int32)
|
||||
dist.all_reduce(flag, op=dist.ReduceOp.BAND, group=self.group)
|
||||
return flag.item() == 1
|
||||
|
||||
def _exchange_posix_fds(self, local_fds: List[int], peer_base_counts: List[int]):
|
||||
import socket
|
||||
import tempfile
|
||||
import threading
|
||||
|
||||
sock_kind = getattr(socket, "SOCK_SEQPACKET", socket.SOCK_STREAM)
|
||||
sock_dir = tempfile.mkdtemp(prefix="sgl_ar_fd_")
|
||||
sock_path = os.path.join(sock_dir, f"rank_{self.rank}.sock")
|
||||
server = socket.socket(socket.AF_UNIX, sock_kind)
|
||||
server.settimeout(_FD_SEND_TIMEOUT_S)
|
||||
received_fds = {}
|
||||
errors = []
|
||||
|
||||
def recv_loop():
|
||||
try:
|
||||
for _ in range(self.world_size - 1):
|
||||
conn, _ = server.accept()
|
||||
with conn:
|
||||
conn.settimeout(_FD_SEND_TIMEOUT_S)
|
||||
while True:
|
||||
packet = _recv_fd(conn)
|
||||
if packet is None:
|
||||
break
|
||||
src_rank, base_idx, fd = packet
|
||||
key = (src_rank, base_idx)
|
||||
if key in received_fds:
|
||||
os.close(fd)
|
||||
raise RuntimeError(f"duplicate fd for {key}")
|
||||
received_fds[key] = fd
|
||||
except BaseException as e:
|
||||
errors.append(e)
|
||||
|
||||
try:
|
||||
server.bind(sock_path)
|
||||
server.listen(self.world_size)
|
||||
paths = [None] * self.world_size
|
||||
dist.all_gather_object(paths, sock_path, group=self.group)
|
||||
|
||||
thread = threading.Thread(target=recv_loop, daemon=True)
|
||||
thread.start()
|
||||
try:
|
||||
for peer_rank, peer_path in enumerate(paths):
|
||||
if peer_rank == self.rank:
|
||||
continue
|
||||
with socket.socket(socket.AF_UNIX, sock_kind) as sock:
|
||||
sock.settimeout(_FD_SEND_TIMEOUT_S)
|
||||
sock.connect(peer_path)
|
||||
for base_idx, fd in enumerate(local_fds):
|
||||
_send_fd(sock, fd, self.rank, base_idx)
|
||||
finally:
|
||||
thread.join(_FD_SEND_TIMEOUT_S)
|
||||
|
||||
if thread.is_alive():
|
||||
raise RuntimeError("timed out waiting for POSIX fd exchange")
|
||||
if errors:
|
||||
raise RuntimeError("POSIX fd exchange receive failed") from errors[0]
|
||||
|
||||
expected = {
|
||||
(rank, base_idx)
|
||||
for rank, count in enumerate(peer_base_counts)
|
||||
if rank != self.rank
|
||||
for base_idx in range(count)
|
||||
}
|
||||
missing = expected.difference(received_fds)
|
||||
extra = set(received_fds).difference(expected)
|
||||
if missing or extra:
|
||||
for fd in received_fds.values():
|
||||
os.close(fd)
|
||||
raise RuntimeError(
|
||||
"POSIX fd exchange mismatch: "
|
||||
f"missing={sorted(missing)[:8]}, extra={sorted(extra)[:8]}"
|
||||
)
|
||||
return received_fds
|
||||
finally:
|
||||
server.close()
|
||||
try:
|
||||
os.unlink(sock_path)
|
||||
except FileNotFoundError:
|
||||
pass
|
||||
try:
|
||||
os.rmdir(sock_dir)
|
||||
except OSError:
|
||||
pass
|
||||
|
||||
def _release_peer_mappings(self, mappings):
|
||||
drv = _get_cuda_driver()
|
||||
while mappings:
|
||||
va, span_size, mapped_chunks = mappings.pop()
|
||||
for rel, size in mapped_chunks:
|
||||
_check_drv(drv.cuMemUnmap(int(va) + int(rel), int(size)), "cuMemUnmap")
|
||||
_check_drv(
|
||||
drv.cuMemAddressFree(int(va), int(span_size)), "cuMemAddressFree"
|
||||
)
|
||||
release_mappings(self._peer_mappings)
|
||||
Reference in New Issue
Block a user