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zjunlp / OceanGPT

[ACL 2024] OceanGPT: A Large Language Model for Ocean Science Tasks
http://oceangpt.zjukg.cn/
MIT License
22 stars 2 forks source link

pip install -r requirments failed #1

Closed cccchou closed 1 month ago

cccchou commented 1 month ago

Building wheels for collected packages: tokenizers Building wheel for tokenizers (pyproject.toml) ... error error: subprocess-exited-with-error

× Building wheel for tokenizers (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [51 lines of output] running bdist_wheel running build running build_py creating build creating build/lib.linux-x86_64-cpython-312 creating build/lib.linux-x86_64-cpython-312/tokenizers copying py_src/tokenizers/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers creating build/lib.linux-x86_64-cpython-312/tokenizers/models copying py_src/tokenizers/models/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/models creating build/lib.linux-x86_64-cpython-312/tokenizers/decoders copying py_src/tokenizers/decoders/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/decoders creating build/lib.linux-x86_64-cpython-312/tokenizers/normalizers copying py_src/tokenizers/normalizers/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/normalizers creating build/lib.linux-x86_64-cpython-312/tokenizers/pre_tokenizers copying py_src/tokenizers/pre_tokenizers/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/pre_tokenizers creating build/lib.linux-x86_64-cpython-312/tokenizers/processors copying py_src/tokenizers/processors/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/processors creating build/lib.linux-x86_64-cpython-312/tokenizers/trainers copying py_src/tokenizers/trainers/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/trainers creating build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/sentencepiece_bpe.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/bert_wordpiece.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/sentencepiece_unigram.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/base_tokenizer.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/char_level_bpe.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations copying py_src/tokenizers/implementations/byte_level_bpe.py -> build/lib.linux-x86_64-cpython-312/tokenizers/implementations creating build/lib.linux-x86_64-cpython-312/tokenizers/tools copying py_src/tokenizers/tools/init.py -> build/lib.linux-x86_64-cpython-312/tokenizers/tools copying py_src/tokenizers/tools/visualizer.py -> build/lib.linux-x86_64-cpython-312/tokenizers/tools copying py_src/tokenizers/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers copying py_src/tokenizers/models/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/models copying py_src/tokenizers/decoders/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/decoders copying py_src/tokenizers/normalizers/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/normalizers copying py_src/tokenizers/pre_tokenizers/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/pre_tokenizers copying py_src/tokenizers/processors/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/processors copying py_src/tokenizers/trainers/init.pyi -> build/lib.linux-x86_64-cpython-312/tokenizers/trainers copying py_src/tokenizers/tools/visualizer-styles.css -> build/lib.linux-x86_64-cpython-312/tokenizers/tools running build_ext running build_rust error: can't find Rust compiler

  If you are using an outdated pip version, it is possible a prebuilt wheel is available for this package but pip is not able to install from it. Installing from the wheel would avoid the need for a Rust compiler.

  To update pip, run:

      pip install --upgrade pip

  and then retry package installation.

  If you did intend to build this package from source, try installing a Rust compiler from your system package manager and ensure it is on the PATH during installation. Alternatively, rustup (available at https://rustup.rs) is the recommended way to download and update the Rust compiler toolchain.
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for tokenizers Failed to build tokenizers ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects

coderxyd commented 1 month ago

Hello, you can try the following solutions: 1、To update pip: pip install --upgrade pip 2、Try installing a Rust compiler: https://www.rust-lang.org/tools/install

cccchou commented 1 month ago

Hello, you can try the following solutions: 1、To update pip: pip install --upgrade pip 2、Try installing a Rust compiler: https://www.rust-lang.org/tools/install

i have installed Rust and update pip,it raise a problem: warning: variable does not need to be mutable --> tokenizers-lib/src/models/unigram/model.rs:265:21 265 let mut target_node = &mut best_path_ends_at[key_pos]; ----^^^^^^^^^^^
help: remove this mut 
      = note: `#[warn(unused_mut)]` on by default

  warning: variable does not need to be mutable
     --> tokenizers-lib/src/models/unigram/model.rs:282:21
      |
  282 |                 let mut target_node = &mut best_path_ends_at[starts_at + mblen];
      |                     ----^^^^^^^^^^^
      |                     |
      |                     help: remove this `mut`

  warning: variable does not need to be mutable
     --> tokenizers-lib/src/pre_tokenizers/byte_level.rs:200:59
      |
  200 |     encoding.process_tokens_with_offsets_mut(|(i, (token, mut offsets))| {
      |                                                           ----^^^^^^^
      |                                                           |
      |                                                           help: remove this `mut`

  error: casting `&T` to `&mut T` is undefined behavior, even if the reference is unused, consider instead using an `UnsafeCell`
     --> tokenizers-lib/src/models/bpe/trainer.rs:526:47
      |
  522 |                     let w = &words[*i] as *const _ as *mut _;
      |                             -------------------------------- casting happend here
  ...
  526 |                         let word: &mut Word = &mut (*w);
      |                                               ^^^^^^^^^
      |
      = note: for more information, visit <https://doc.rust-lang.org/book/ch15-05-interior-mutability.html>
      = note: `#[deny(invalid_reference_casting)]` on by default

  warning: `tokenizers` (lib) generated 3 warnings
  error: could not compile `tokenizers` (lib) due to 1 previous error; 3 warnings emitted

  Caused by:
    process didn't exit successfully: `/home/alex/.rustup/toolchains/stable-x86_64-unknown-linux-gnu/bin/rustc --crate-name tokenizers --edition=2018 tokenizers-lib/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts,future-incompat --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C embed-bitcode=no --cfg 'feature="cached-path"' --cfg 'feature="clap"' --cfg 'feature="cli"' --cfg 'feature="default"' --cfg 'feature="dirs"' --cfg 'feature="esaxx_fast"' --cfg 'feature="http"' --cfg 'feature="indicatif"' --cfg 'feature="onig"' --cfg 'feature="progressbar"' --cfg 'feature="reqwest"' --check-cfg 'cfg(docsrs)' --check-cfg 'cfg(feature, values("cached-path", "clap", "cli", "default", "dirs", "esaxx_fast", "fancy-regex", "http", "indicatif", "onig", "progressbar", "reqwest", "unstable_wasm"))' -C metadata=ca82cc11ddbd27ad -C extra-filename=-ca82cc11ddbd27ad --out-dir /tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps -C strip=debuginfo -L dependency=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps --extern aho_corasick=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libaho_corasick-058ca2dc14da8460.rmeta --extern cached_path=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libcached_path-0ddc233bd0f68097.rmeta --extern clap=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libclap-1c4a241bb9a5ea97.rmeta --extern derive_builder=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libderive_builder-30b036efe70af586.rmeta --extern dirs=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libdirs-b311a36f526b825d.rmeta --extern esaxx_rs=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libesaxx_rs-c65ab84d25070fb0.rmeta --extern getrandom=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libgetrandom-5ae740cfed4fe951.rmeta --extern indicatif=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libindicatif-eac1b29ca288ba51.rmeta --extern itertools=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libitertools-c16f098d485dff7c.rmeta --extern lazy_static=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/liblazy_static-61c19818fd703d35.rmeta --extern log=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/liblog-2b0fd75752e87a82.rmeta --extern macro_rules_attribute=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libmacro_rules_attribute-ff063e4c1dc7b613.rmeta --extern monostate=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libmonostate-465817acb0a4eda0.rmeta --extern onig=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libonig-c5a5b8c2c12ad002.rmeta --extern paste=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libpaste-0c52bc493755067c.so --extern rand=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/librand-5f4fa53845062e70.rmeta --extern rayon=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/librayon-5d621dc00426f097.rmeta --extern rayon_cond=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/librayon_cond-935d56f420972abd.rmeta --extern regex=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libregex-09715098661a60b8.rmeta --extern regex_syntax=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libregex_syntax-538adb3fb8143d33.rmeta --extern reqwest=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libreqwest-1c0c17a79c545c37.rmeta --extern serde=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libserde-252b70978046a684.rmeta --extern serde_json=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libserde_json-9ead1eedf9e4df53.rmeta --extern spm_precompiled=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libspm_precompiled-c06319c8751ae99a.rmeta --extern thiserror=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libthiserror-a5fb447d5a8fc752.rmeta --extern unicode_normalization_alignments=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libunicode_normalization_alignments-05d295e16055f4ea.rmeta --extern unicode_segmentation=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libunicode_segmentation-15110a3e2499edda.rmeta --extern unicode_categories=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/deps/libunicode_categories-c5e00e0e8b967371.rmeta -L native=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/build/bzip2-sys-cf2a1788a126262c/out/lib -L native=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/build/zstd-sys-1eedde4d4448ea63/out -L native=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/build/esaxx-rs-1ffcd584795bbc51/out -L native=/tmp/pip-install-x4c1a76i/tokenizers_0fef19d3d5d449bb83986f9e86f5458f/target/release/build/onig_sys-1328865d5c179d9c/out` (exit status: 1)
  error: `cargo rustc --lib --message-format=json-render-diagnostics --manifest-path Cargo.toml --release -v --features pyo3/extension-module --crate-type cdylib --` failed with code 101
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for tokenizers Failed to build tokenizers ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects

coderxyd commented 1 month ago

Perhaps you can try changing the Python version.

conda create -n py3.11 python=3.11
conda activate py3.11
pip install tokenizers

Or look for some solutions in the hugginface/tokenizers repository on GitHub. https://github.com/huggingface/tokenizers/issues/1050

cccchou commented 1 month ago

Perhaps you can try changing the Python version.

conda create -n py3.11 python=3.11
conda activate py3.11
pip install tokenizers

Or look for some solutions in the hugginface/tokenizers repository on GitHub. huggingface/tokenizers#1050

Yes, i have pip install successfully by degrading python to 3.11 but when i download the module it rasie the problem with internet connection: huggingface_hub.utils._errors.LocalEntryNotFoundError: An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the specified revision on the local disk. Please check your internet connection and try again. how can i download the module?

coderxyd commented 1 month ago

If you cannot connect to Huggingface to download, you can choose to use domestic model platforms to download, such as WiseModel or ModelScope.

cccchou commented 1 month ago

If you cannot connect to Huggingface to download, you can choose to use domestic model platforms to download, such as WiseModel or ModelScope.

yes,I solved the problem by using a mirror website