Download inference_code/inference/arch.py from Agnes-AI/Agnes-Video-2.0-MoE: direct link, hf CLI and curl.
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https://huggingface.co/Agnes-AI/Agnes-Video-2.0-MoE/resolve/main/inference_code/inference/arch.py
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hf download hf://Agnes-AI/Agnes-Video-2.0-MoE/inference_code/inference/arch.py
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curl -L -o arch.py https://huggingface.co/Agnes-AI/Agnes-Video-2.0-MoE/resolve/main/inference_code/inference/arch.py
1.22 kB
| # Copyright (c) 2026 SandAI. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import torch | |
| def is_hopper_arch(): | |
| return torch.cuda.get_device_capability()[0] == 9 | |
| def get_arch_memory(unit: str = "GB"): | |
| if not torch.cuda.is_available(): | |
| return 0 | |
| total_bytes = torch.cuda.get_device_properties(torch.cuda.current_device()).total_memory | |
| if unit == "B": | |
| return float(total_bytes) | |
| elif unit == "KB": | |
| return total_bytes / 1024 | |
| elif unit == "MB": | |
| return total_bytes / 1024 / 1024 | |
| elif unit == "GB": | |
| return total_bytes / 1024 / 1024 / 1024 | |
| else: | |
| raise ValueError(f"Invalid unit: {unit}") | |