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https://github.com/deepseek-ai/DeepEP
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Support Ampere architecture (#204)
* Update README * Update `setup.py` * Fix headers * Add `DISABLE_NVSHMEM` for APIs * Fix launch * Fix TMA settings * Fix TMA usages * Fix dlink * Separate layout kernels * Update version * Add `is_sm90_compiled` * Fix tests * Add NVLink connection checks * Update README * Fix tests * Add some comments * Minor fix * Minor fix * Fix bugs
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@@ -1,4 +1,7 @@
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import os
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import subprocess
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import torch
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import torch.distributed as dist
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from typing import Any, Optional, Tuple
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# noinspection PyUnresolvedReferences
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@@ -58,3 +61,28 @@ class EventOverlap:
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"""
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if self.event is not None:
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self.event.current_stream_wait()
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def check_nvlink_connections(group: dist.ProcessGroup):
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"""
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Check NVLink connection between every pair of GPUs.
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Arguments:
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group: the communication group.
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"""
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# Check NVLink connection
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# NOTES: some A100 PCIE GPUs only have pairwise NVLink connection, so that we can only use EP2
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if 'PCIE' in torch.cuda.get_device_name():
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assert group.size() <= 2, 'No NVLink connection between all GPUs'
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devices = os.environ.get('CUDA_VISIBLE_DEVICES', '0,1,2,3,4,5,6,7').strip(',').split(',')
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physical_device_idx = int(devices[torch.cuda.current_device()])
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physical_device_indices = [0, ] * group.size()
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dist.all_gather_object(physical_device_indices, physical_device_idx, group)
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# Get connection matrix from `nvidia-smi`
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lines = subprocess.check_output(['nvidia-smi', 'topo', '-p2p', 'n']).decode('utf-8').split('\n')
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for line in lines:
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if line.lstrip().startswith(f'GPU{physical_device_idx}') and 'X' in line:
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status = line.strip().lstrip(f'GPU{physical_device_idx}').split()
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for dst_gpu_rank in physical_device_indices:
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assert status[dst_gpu_rank] in ('X', 'OK'), f'No NVLink connection between GPU {physical_device_idx} and GPU {dst_gpu_rank}'
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