40 lines
1.9 KiB
Bash
Executable File
40 lines
1.9 KiB
Bash
Executable File
#!/usr/bin/env bash
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# 在「已激活的 fishserver」中，将 torch/torchvision 换成指定 CUDA 索引的构建。
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# 若从未单独装过 fishserver，请直接跑 bootstrap_fishserver.sh（已内含 GPU 轮子）。
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set -euo pipefail
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TORCH_INDEX="${TORCH_INDEX:-https://download.pytorch.org/whl/cu124}"
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export PIP_DEFAULT_TIMEOUT="${PIP_DEFAULT_TIMEOUT:-120}"
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# 必须用「目标环境」里的 python：仅靠 `command -v python` 在激活失败时仍会指向 base。
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if [[ -n "${FISHSERVER_PY:-}" ]]; then
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PY="$FISHSERVER_PY"
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elif [[ -n "${CONDA_PREFIX:-}" && -x "${CONDA_PREFIX}/bin/python" ]]; then
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PY="${CONDA_PREFIX}/bin/python"
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else
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PY="$(command -v python)"
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fi
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echo "Using PyTorch wheel index: $TORCH_INDEX"
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echo "conda env: ${CONDA_DEFAULT_ENV:-"(unset)"} CONDA_PREFIX: ${CONDA_PREFIX:-"(unset)"}"
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echo "Using python: $PY ($("$PY" --version 2>&1))"
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if [[ -z "${FISHSERVER_PY:-}" && "${CONDA_DEFAULT_ENV:-}" == "base" ]]; then
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echo "" >&2
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echo "WARNING: 当前 conda 仍是 base，刚才那类输出会把 torch 装进 base（常见为 py3.12），不是 fishserver（py3.11）。" >&2
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echo " 请先: conda activate fishserver 再跑本脚本，或:" >&2
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echo " FISHSERVER_PY=\$HOME/miniforge3/envs/fishserver/bin/python bash packaging/patch_cuda_torch.sh" >&2
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echo "" >&2
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fi
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# 已装过 PyPI/cu130 的 torch 时，不加 uninstall / force 会一律 "already satisfied"，版本不会变。
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# 全局 pip.conf 里的 extra-index-url（如 pypi.ngc.nvidia.com）也会参与解析，用空配置避开。
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echo "Removing any existing torch / torchvision …"
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"$PY" -m pip uninstall -y torch torchvision 2>/dev/null || true
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echo "Installing torch / torchvision from $TORCH_INDEX only …"
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PIP_CONFIG_FILE=/dev/null PIP_EXTRA_INDEX_URL="" \
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"$PY" -m pip install --no-cache-dir torch torchvision --index-url "$TORCH_INDEX"
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"$PY" -c "import torch; print('torch', torch.__version__, 'cuda?', torch.cuda.is_available())"
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