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ltp-java编译出错
我在使用ltp-java时编译报错
本地环境：Windows 11 专业版 版本：22621.1265
- java 信息：
[D:\java\ltp\libltp\ltp-java]$ java -version
java version "1.8.0_121"
Java(TM) SE Runtime Environment (build 1.8.0_121-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.121-b13, mixed mode)
- cargo 信息：
[D:\java\ltp\libltp\ltp-java]$ cargo --version
cargo 1.68.1 (115f34552 2023-02-26)
- gradle 信息：
[D:\java\ltp\libltp\ltp-java]$ gradle -v
------------------------------------------------------------
Gradle 8.0.2
------------------------------------------------------------
Build time: 2023-03-03 16:41:37 UTC
Revision: 7d6581558e226a580d91d399f7dfb9e3095c2b1d
Kotlin: 1.8.10
Groovy: 3.0.13
Ant: Apache Ant(TM) version 1.10.11 compiled on July 10 2021
JVM: 1.8.0_121 (Oracle Corporation 25.121-b13)
OS: Windows 10 10.0 amd64
我从仓库中把整个项目clone下来，
- 本地目录结构：
[D:\java\ltp\libltp\ltp-java]$ tree ./
卷 DATA 的文件夹 PATH 列表
卷序列号为 00000041 AE2A:AF4A
D:\JAVA\LTP\LIBLTP\LTP-JAVA
├─.gradle
│ ├─8.0.2
│ │ ├─checksums
│ │ ├─dependencies-accessors
│ │ ├─executionHistory
│ │ ├─fileChanges
│ │ ├─fileHashes
│ │ └─vcsMetadata
│ ├─buildOutputCleanup
│ └─vcs-1
├─build
│ ├─classes
│ │ └─java
│ │ ├─main
│ │ │ └─cn
│ │ │ └─edu
│ │ │ └─hit
│ │ │ └─ir
│ │ └─test
│ │ └─cn
│ │ └─edu
│ │ └─hit
│ │ └─ir
│ ├─generated
│ │ └─sources
│ │ ├─annotationProcessor
│ │ │ └─java
│ │ │ ├─main
│ │ │ └─test
│ │ └─headers
│ │ └─java
│ │ ├─main
│ │ └─test
│ ├─libs
│ ├─reports
│ │ └─tests
│ │ └─test
│ │ ├─classes
│ │ ├─css
│ │ ├─js
│ │ └─packages
│ ├─test-results
│ │ └─test
│ │ └─binary
│ └─tmp
│ ├─compileJava
│ ├─compileTestJava
│ ├─jar
│ └─test
├─gradle
│ └─wrapper
├─rust
│ └─src
└─src
├─main
│ ├─java
│ │ └─cn
│ │ └─edu
│ │ └─hit
│ │ └─ir
│ └─resources
└─test
├─java
│ └─cn
│ └─edu
│ └─hit
│ └─ir
└─resources
- 执行脚本
D:\java\ltp\libltp>cd ltp-java/rust && make lib
cargo build --release
Updating git repository `https://github.com/AlongWY/onnxruntime-rs.git`
Updating crates.io index
Compiling winapi v0.3.9
Compiling proc-macro2 v1.0.54
Compiling quote v1.0.26
Compiling memchr v2.5.0
Compiling libc v0.2.140
Compiling windows_x86_64_msvc v0.42.2
Compiling log v0.4.17
Compiling syn v1.0.109
error: linker `link.exe` not found
|
= note: program not found
note: the msvc targets depend on the msvc linker but `link.exe` was not found
note: please ensure that Visual Studio 2017 or later, or Build Tools for Visual Studio were installed with the Visual C++ option.
note: VS Code is a different product, and is not sufficient.
error: could not compile `windows_x86_64_msvc` due to previous error
warning: build failed, waiting for other jobs to finish...
error: could not compile `log` due to previous error
error: could not compile `quote` due to previous error
error: could not compile `memchr` due to previous error
error: could not compile `syn` due to previous error
error: could not compile `proc-macro2` due to previous error
error: could not compile `libc` due to previous error
error: could not compile `winapi` due to previous error
make: *** [lib] Error 101
D:\java\ltp\libltp\ltp-java\rust>cd .. && gradle build
> Task :test FAILED
LTPTest > test() FAILED
java.lang.ExceptionInInitializerError at LTPTest.java:12
Caused by: java.lang.NullPointerException at LTPTest.java:12
1 test completed, 1 failed
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':test'.
> There were failing tests. See the report at: file:///D:/java/ltp/libltp/ltp-java/build/reports/tests/test/index.html
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
* Get more help at https://help.gradle.org
BUILD FAILED in 1s
4 actionable tasks: 1 executed, 3 up-to-date
我还在入门，不太懂这个，请帮忙看看。
谢谢 (^_^)
请问目前libltp支持单独分词吗
你好，我在使用过程中想只使用分词功能，看目前的pipeline_batch() 方法调用了所有任务。通过查看底层代码，
发现onnxruntime-rs.git?branch=al/dyn+cuda 这个分支提供session 的 run_with_options 方法，
通过以下方法发生段错误，这是onnx 不支持计算部分子图吗？ 还是其他原因，谢谢。
let name_seg = String::from("seg");
let output_type_seg = TensorElementDataType::Int64;
let dimensions_seg: Vec<Option> = vec![None, None];
let output = Output{ name: name_seg,
output_type: output_type_seg,
dimensions : dimensions_seg
};
let output_names: Vec = vec![output];
println!("before onnx run with option");
println!("{:?}", output_names);
let mut result = self.session.run_with_options(input_arrays, &output_names)?;
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