mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from fastdeploy.utils import get_logger
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logger = get_logger("cache_messager", "cache_messager.log")
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class RDMACommManager:
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"""
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RDMACommManager to manage rdma communication
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"""
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def __init__(self, splitwise_role, rank, gpu_id, cache_k_ptr_list, \
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cache_v_ptr_list, max_block_num, block_bytes, rdma_port):
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try:
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import rdma_comm
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except:
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logger.error(f"The installation of the RDMA library failed." \
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"Confirm whether your network card supports RDMA transmission.")
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return
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self.messager = rdma_comm.RDMACommunicator(
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splitwise_role,
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rank,
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str(rdma_port) if splitwise_role == "decode" else "0",
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cache_k_ptr_list,
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cache_v_ptr_list,
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max_block_num,
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block_bytes,
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)
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self.splitwise_role = splitwise_role
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self.connected_rdma = set()
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logger.info(f"init rdma messager {gpu_id} {rdma_port}")
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def connect(self, ip, port):
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"""
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Connect to remote gpu and write cache.
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"""
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assert self.splitwise_role == "prefill", "only prefill can call this method"
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addr = f"{ip}:{str(port)}"
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if addr in self.connected_rdma:
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return True
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ret = self.messager.is_connected(ip, str(port))
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if ret:
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self.connected_rdma.add(addr)
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return True
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ret = self.messager.connect(ip, str(port))
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logger.info(
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f"connect to remote rdma address {ip}:{port} status is {ret}")
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if ret == 0:
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self.connected_rdma.add(addr)
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return ret == 0
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def write_cache(self, ip, port, local_block_ids, remote_block_ids,
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layer_idx):
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"""
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Connect to remote gpu and write cache.
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"""
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return self.messager.write_cache(ip, str(port), local_block_ids,
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remote_block_ids, layer_idx)
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