Build #1669664 2025-01-25T15:29:11.100145+00:00
# rustc version
rustc 1.86.0-nightly (1e9b0177d 2025-01-24)# docs.rs version
docsrs 0.6.0 (29a0e81b 2025-01-22)# build log
[INFO] running `Command { std: "docker" "create" "-v" "/home/cratesfyi/workspace/builds/llm-chain-llama-sys-0.13.0/target:/opt/rustwide/target:rw,Z" "-v" "/home/cratesfyi/workspace/builds/llm-chain-llama-sys-0.13.0/source:/opt/rustwide/workdir:ro,Z" "-v" "/home/cratesfyi/workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/home/cratesfyi/workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "DOCS_RS=1" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "6442450944" "--cpus" "6" "--user" "1001:1001" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:c80049f3b88b82089a44e0f06d0d6029d44b96b7257e55a1cd63dbc9f4c33334" "/opt/rustwide/cargo-home/bin/cargo" "+nightly" "rustdoc" "--lib" "-Zrustdoc-map" "--config" "build.rustdocflags=[\"--cfg\", \"docsrs\", \"-Z\", \"unstable-options\", \"--emit=invocation-specific\", \"--resource-suffix\", \"-20250124-1.86.0-nightly-1e9b0177d\", \"--static-root-path\", \"/-/rustdoc.static/\", \"--cap-lints\", \"warn\", \"--extern-html-root-takes-precedence\"]" "--offline" "-Zunstable-options" "--config=doc.extern-map.registries.crates-io=\"https://docs.rs/{pkg_name}/{version}/i686-pc-windows-msvc\"" "-Zrustdoc-scrape-examples" "-j6" "--target" "i686-pc-windows-msvc", kill_on_drop: false }`
[INFO] [stdout] abf42ed342323c96cc8fc2a51ddb314466c683d20d856ded86bc1bed85127afa
[INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
[INFO] running `Command { std: "docker" "start" "-a" "abf42ed342323c96cc8fc2a51ddb314466c683d20d856ded86bc1bed85127afa", kill_on_drop: false }`
[INFO] [stderr] warning: target filter specified, but no targets matched; this is a no-op
[INFO] [stderr] Documenting llm-chain-llama-sys v0.13.0 (/opt/rustwide/workdir)
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:405:13
[INFO] [stderr] |
[INFO] [stderr] 405 | #[doc = " @details Repetition penalty described in CTRL academic paper https://arxiv.org/abs/1909.05858, with negative logit fix."]
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] = note: `#[warn(rustdoc::bare_urls)]` on by default
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 405 | #[doc = <" @details Repetition penalty described in CTRL academic paper https://arxiv.org/abs/1909.05858, with negative logit fix.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:415:13
[INFO] [stderr] |
[INFO] [stderr] 415 | ... = " @details Frequency and presence penalties described in OpenAI API https://platform.openai.com/docs/api-reference/parameter-details...
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 415 | #[doc = <" @details Frequency and presence penalties described in OpenAI API https://platform.openai.com/docs/api-reference/parameter-details.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:430:13
[INFO] [stderr] |
[INFO] [stderr] 430 | ... = " @details Top-K sampling described in academic paper \"The Curious Case of Neural Text Degeneration\" https://arxiv.org/abs/1904.0975...
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 430 | #[doc = <" @details Top-K sampling described in academic paper \"The Curious Case of Neural Text Degeneration\" https://arxiv.org/abs/1904.09751">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:439:13
[INFO] [stderr] |
[INFO] [stderr] 439 | ... = " @details Nucleus sampling described in academic paper \"The Curious Case of Neural Text Degeneration\" https://arxiv.org/abs/1904.0975...
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 439 | #[doc = <" @details Nucleus sampling described in academic paper \"The Curious Case of Neural Text Degeneration\" https://arxiv.org/abs/1904.09751">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:448:13
[INFO] [stderr] |
[INFO] [stderr] 448 | #[doc = " @details Tail Free Sampling described in https://www.trentonbricken.com/Tail-Free-Sampling/."]
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 448 | #[doc = <" @details Tail Free Sampling described in https://www.trentonbricken.com/Tail-Free-Sampling/.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:457:13
[INFO] [stderr] |
[INFO] [stderr] 457 | #[doc = " @details Locally Typical Sampling implementation described in the paper https://arxiv.org/abs/2202.00666."]
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 457 | #[doc = <" @details Locally Typical Sampling implementation described in the paper https://arxiv.org/abs/2202.00666.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:473:13
[INFO] [stderr] |
[INFO] [stderr] 473 | ... = " @details Mirostat 1.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.\n @param candidates A vector of `llama_token_data` containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.\n @param tau The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.\n @param eta The learning rate used to update `mu` based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause `mu` to be updated more quickly, while a smaller learning rate will result in slower updates.\n @param m The number of tokens considered in the estimation of `s_hat`. This is an arbitrary value that is used to calculate `s_hat`, which in turn helps to calculate the value of `k`. In the paper, they use `m = 100`, but you can experiment with different values to see how it affects the performance of the algorithm.\n @param mu Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (`2 * tau`) and is updated in the algorithm based on the error between the target and observed surprisal...
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 473 | #[doc = <" @details Mirostat 1.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.\n @param candidates A vector of `llama_token_data` containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.\n @param tau The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.\n @param eta The learning rate used to update `mu` based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause `mu` to be updated more quickly, while a smaller learning rate will result in slower updates.\n @param m The number of tokens considered in the estimation of `s_hat`. This is an arbitrary value that is used to calculate `s_hat`, which in turn helps to calculate the value of `k`. In the paper, they use `m = 100`, but you can experiment with different values to see how it affects the performance of the algorithm.\n @param mu Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (`2 * tau`) and is updated in the algorithm based on the error between the target and observed surprisal.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> /opt/rustwide/target/i686-pc-windows-msvc/debug/build/llm-chain-llama-sys-6b8556a9f4c88b40/out/bindings.rs:484:13
[INFO] [stderr] |
[INFO] [stderr] 484 | ... = " @details Mirostat 2.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.\n @param candidates A vector of `llama_token_data` containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.\n @param tau The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.\n @param eta The learning rate used to update `mu` based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause `mu` to be updated more quickly, while a smaller learning rate will result in slower updates.\n @param mu Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (`2 * tau`) and is updated in the algorithm based on the error between the target and observed surprisal...
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 484 | #[doc = <" @details Mirostat 2.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.\n @param candidates A vector of `llama_token_data` containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.\n @param tau The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.\n @param eta The learning rate used to update `mu` based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause `mu` to be updated more quickly, while a smaller learning rate will result in slower updates.\n @param mu Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (`2 * tau`) and is updated in the algorithm based on the error between the target and observed surprisal.">]
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: `llm-chain-llama-sys` (lib doc) generated 8 warnings (run `cargo fix --lib -p llm-chain-llama-sys` to apply 8 suggestions)
[INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.28s
[INFO] [stderr] Generated /opt/rustwide/target/i686-pc-windows-msvc/doc/llm_chain_llama_sys/index.html
[INFO] running `Command { std: "docker" "inspect" "abf42ed342323c96cc8fc2a51ddb314466c683d20d856ded86bc1bed85127afa", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "abf42ed342323c96cc8fc2a51ddb314466c683d20d856ded86bc1bed85127afa", kill_on_drop: false }`
[INFO] [stdout] abf42ed342323c96cc8fc2a51ddb314466c683d20d856ded86bc1bed85127afa