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https://github.com/PaddlePaddle/FastDeploy.git
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e70e2279ce
* [XPU] xpu support PD disaggregation * [XPU] fix the issue of cache KV transfer process startup failure on non-zero XPU cards * [XPU] xpu support PD disaggregation in v1 scheduler --------- Co-authored-by: ddchenhao66 <dhaochen163.com>
93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
import paddle
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from fastdeploy.platforms import current_platform
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if current_platform.is_cuda():
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from fastdeploy.model_executor.ops.gpu import (
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cuda_host_alloc,
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cuda_host_free,
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get_data_ptr_ipc,
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get_output_kv_signal,
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ipc_sent_key_value_cache_by_remote_ptr,
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ipc_sent_key_value_cache_by_remote_ptr_block_sync,
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set_data_ipc,
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share_external_data,
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swap_cache_all_layers,
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unset_data_ipc,
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)
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memory_allocated = paddle.device.cuda.memory_allocated
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def get_peer_mem_addr(*args, **kwargs):
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raise RuntimeError("CUDA no need of get_peer_mem_addr!")
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elif current_platform.is_xpu():
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from fastdeploy.model_executor.ops.xpu import (
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cuda_host_alloc,
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cuda_host_free,
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get_output_kv_signal,
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get_peer_mem_addr,
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set_data_ipc,
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share_external_data,
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swap_cache_all_layers,
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)
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unset_data_ipc = None
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memory_allocated = paddle.device.xpu.memory_allocated
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def get_data_ptr_ipc(*args, **kwargs):
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raise RuntimeError("XPU get_data_ptr_ipc UNIMPLENENTED!")
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def ipc_sent_key_value_cache_by_remote_ptr(*args, **kwargs):
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raise RuntimeError("XPU ipc_sent_key_value_cache_by_remote_ptr UNIMPLENENTED")
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def ipc_sent_key_value_cache_by_remote_ptr_block_sync(*args, **kwargs):
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raise RuntimeError("XPU No ipc_sent_key_value_cache_by_remote_ptr UNIMPLENENTED")
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else:
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raise RuntimeError("Prefix cache ops only supported CUDA nor XPU platform ")
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def set_device(device):
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if current_platform.is_cuda():
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paddle.set_device(f"gpu:{device}")
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elif current_platform.is_xpu():
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paddle.set_device(f"xpu:{device}")
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else:
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raise RuntimeError("No supported platform")
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def share_external_data_(cache, cache_name, cache_shape, use_ipc):
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if current_platform.is_cuda():
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cache = share_external_data(cache, cache_name, cache_shape)
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elif current_platform.is_xpu():
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cache = share_external_data(cache, cache_name, cache_shape, use_ipc)
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else:
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raise RuntimeError("No supported platform")
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return cache
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def get_all_visible_devices():
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if current_platform.is_xpu():
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return "XPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7"
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else:
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return "CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7"
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__all__ = [
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"cuda_host_alloc",
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"cuda_host_free",
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"set_data_ipc",
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"share_external_data_",
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"swap_cache_all_layers",
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"unset_data_ipc", # XPU是 None
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"set_device",
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"memory_allocated",
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"get_output_kv_signal",
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"get_data_ptr_ipc",
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"ipc_sent_key_value_cache_by_remote_ptr",
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"ipc_sent_key_value_cache_by_remote_ptr_block_sync",
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"get_peer_mem_addr",
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"get_all_visible_devices",
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]
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