[MetaxGPU] adapt fastdeploy on metax gpu #3466
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Contributor
Kane2011
commented
Aug 19, 2025
Kane2011
commented
1. adapt for the latest fastdeploy 2. add docs
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Thanks for your contribution! |
fastdeploy/worker/metax_worker.py
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| end_time = time.perf_counter() | ||
| # temporary fix kvcache size to test | ||
| fd_kvache_mem = os.getenv("FD_KVCACHE_MEM") |
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这是个新增环境变量吗，什么场景下会用到？
- 必须要保留的话需要规范下命名，记录在 FastDeploy/fastdeploy/envs.py 和FastDeploy/docs/usage/environment_variables.md 中
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好的， 这个是我们自己测试使用。 指定kv cache size， 不是通过profiler run calc 得出。
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已更新： FD_KVCACHE_MEM --> FD_METAX_KVCACHE_MEM
| paddle_allocated_mem_before_run = paddle.device.cuda.max_memory_allocated(local_rank) # not reserved | ||
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| device_id = int(self.device_ids[local_rank]) | ||
| if os.getenv("MACA_VISIBLE_DEVICES") is not None: |
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同上，建议规范下命名，带上Metax相关的统一前缀
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这个我们其它地方都是使用统一的MACA 前缀，应该不太好修改。
对我们来说，MACA 等同于 CUDA的概念。
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好的， 这个我们需要写到 这个文件吗？FastDeploy/docs/usage/environment_variables.md
可以写进去
1. adapt for the latest fastdeploy 2. add docs
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