mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
周周周
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
# 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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import os
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os.environ.setdefault("DG_NVCC_OVERRIDE_CPP_STANDARD", "20")
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import subprocess
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import sys
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def test_fused_moe_launch():
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"""
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test_fused_moe
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"""
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current_dir = os.path.dirname(os.path.abspath(__file__))
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py_script = os.path.join(current_dir, "../layers/test_fusedmoe.py")
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# 为了方便在PDC的环境下直接python运行这个脚本
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os.environ.pop("PADDLE_ELASTIC_JOB_ID", None)
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os.environ.pop("PADDLE_TRAINER_ENDPOINTS", None)
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os.environ.pop("DISTRIBUTED_TRAINER_ENDPOINTS", None)
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os.environ.pop("FLAGS_START_PORT", None)
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os.environ.pop("PADDLE_ELASTIC_TIMEOUT", None)
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os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
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os.environ["DISABLE_CI_FUSEDMOE_EP"] = "1"
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FD_API_PORT = int(os.getenv("FD_API_PORT", 8188))
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command = [
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sys.executable,
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"-m",
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"paddle.distributed.launch",
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"--gpus",
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"0,1",
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"--master",
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f"127.0.0.1:{FD_API_PORT}",
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"--nnodes",
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"1",
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"--rank",
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"0",
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py_script,
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]
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process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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try:
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stdout, stderr = process.communicate(timeout=400)
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return_code = process.returncode
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except subprocess.TimeoutExpired:
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process.kill()
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stdout, stderr = process.communicate()
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return_code = -1
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print(f"std_out: {stdout}")
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assert return_code in (0, 250, 255), f"Process exited with code {return_code}, stdout: {stdout}, stderr: {stderr}"
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test_fused_moe_launch()
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