[INFO] fetching crate auto-diff 0.3.3... [INFO] checking auto-diff-0.3.3 against try#8a749131e7beb72f6edacefd2bdcbed3d67b2112 for pr-72331 [INFO] extracting crate auto-diff 0.3.3 into /workspace/builds/worker-2/source [INFO] validating manifest of crates.io crate auto-diff 0.3.3 on toolchain 8a749131e7beb72f6edacefd2bdcbed3d67b2112 [INFO] running `"/workspace/cargo-home/bin/cargo" "+8a749131e7beb72f6edacefd2bdcbed3d67b2112" "read-manifest" "--manifest-path" "Cargo.toml"` [INFO] started tweaking crates.io crate auto-diff 0.3.3 [INFO] finished tweaking crates.io crate auto-diff 0.3.3 [INFO] tweaked toml for crates.io crate auto-diff 0.3.3 written to /workspace/builds/worker-2/source/Cargo.toml [INFO] crate crates.io crate auto-diff 0.3.3 already has a lockfile, it will not be regenerated [INFO] running `"/workspace/cargo-home/bin/cargo" "+8a749131e7beb72f6edacefd2bdcbed3d67b2112" "fetch" "--locked" "--manifest-path" "Cargo.toml"` [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded openblas-src v0.9.0 [INFO] running `"docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "MAP_USER_ID=0" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--network" "none" "rustops/crates-build-env" "/opt/rustwide/cargo-home/bin/cargo" "+8a749131e7beb72f6edacefd2bdcbed3d67b2112" "check" "--frozen" "--all" "--all-targets"` [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] [stdout] 34e9fe072a8ed6bf3625e6be058b65b00e9acbafd3819d8693724cf30c1d13ec [INFO] running `"docker" "start" "-a" "34e9fe072a8ed6bf3625e6be058b65b00e9acbafd3819d8693724cf30c1d13ec"` [INFO] [stderr] sudo: setrlimit(RLIMIT_CORE): Operation not permitted [INFO] [stderr] Compiling autocfg v1.0.0 [INFO] [stderr] Compiling serde v1.0.106 [INFO] [stderr] Checking lazy_static v1.4.0 [INFO] [stderr] Checking either v1.5.3 [INFO] [stderr] Compiling maybe-uninit v2.0.0 [INFO] [stderr] Compiling proc-macro2 v1.0.12 [INFO] [stderr] Compiling matrixmultiply v0.1.15 [INFO] [stderr] Compiling memchr v2.3.3 [INFO] [stderr] Checking rawpointer v0.1.0 [INFO] [stderr] Checking scopeguard v1.1.0 [INFO] [stderr] Compiling ndarray v0.12.1 [INFO] [stderr] Checking blas-src v0.2.1 [INFO] [stderr] Compiling syn v1.0.18 [INFO] [stderr] Compiling rayon-core v1.7.0 [INFO] [stderr] Checking blas-src v0.3.0 [INFO] [stderr] Checking lapack-src v0.3.0 [INFO] [stderr] Checking unicode-width v0.1.7 [INFO] [stderr] Compiling openblas-src v0.9.0 [INFO] [stderr] Checking regex-syntax v0.6.17 [INFO] [stderr] Checking rand_core v0.3.1 [INFO] [stderr] Checking textwrap v0.11.0 [INFO] [stderr] Checking bitflags v1.2.1 [INFO] [stderr] Checking getrandom v0.1.14 [INFO] [stderr] Checking lapacke-sys v0.1.4 [INFO] [stderr] Checking cblas-sys v0.1.4 [INFO] [stderr] Checking num_cpus v1.13.0 [INFO] [stderr] Compiling cast v0.2.3 [INFO] [stderr] Checking itertools v0.7.11 [INFO] [stderr] Checking itertools v0.9.0 [INFO] [stderr] Checking rand v0.5.6 [INFO] [stderr] Checking clap v2.33.0 [INFO] [stderr] Checking rand_core v0.5.1 [INFO] [stderr] Checking rand_chacha v0.2.2 [INFO] [stderr] Compiling num-traits v0.2.11 [INFO] [stderr] Compiling crossbeam-utils v0.7.2 [INFO] [stderr] Compiling num-complex v0.2.4 [INFO] [stderr] Compiling memoffset v0.5.4 [INFO] [stderr] Compiling crossbeam-epoch v0.8.2 [INFO] [stderr] Checking csv-core v0.1.10 [INFO] [stderr] Checking rand v0.7.3 [INFO] [stderr] Compiling quote v1.0.4 [INFO] [stderr] Checking criterion-plot v0.4.2 [INFO] [stderr] Checking crossbeam-queue v0.2.1 [INFO] [stderr] Checking regex v1.3.7 [INFO] [stderr] Checking crossbeam-deque v0.7.3 [INFO] [stderr] Checking plotters v0.2.12 [INFO] [stderr] Checking rayon v1.3.0 [INFO] [stderr] Checking rand_distr v0.2.2 [INFO] [stderr] Checking bstr v0.2.12 [INFO] [stderr] Checking serde_json v1.0.52 [INFO] [stderr] Checking cauchy v0.2.2 [INFO] [stderr] Checking lapacke v0.2.0 [INFO] [stderr] Checking csv v1.1.3 [INFO] [stderr] Compiling serde_derive v1.0.106 [INFO] [stderr] Checking tinytemplate v1.0.4 [INFO] [stderr] Checking ndarray-linalg v0.11.1 [INFO] [stderr] Checking auto-diff v0.3.3 (/opt/rustwide/workdir) [INFO] [stderr] Checking criterion v0.3.2 [INFO] [stderr] warning: unused import: `auto_diff::tensor::Tensor` [INFO] [stderr] --> examples/alexnet.rs:1:5 [INFO] [stderr] | [INFO] [stderr] 1 | use auto_diff::tensor::Tensor; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused imports: `Module`, `bcewithlogitsloss` [INFO] [stderr] --> examples/alexnet.rs:2:22 [INFO] [stderr] | [INFO] [stderr] 2 | use auto_diff::var::{Module, Var, bcewithlogitsloss}; [INFO] [stderr] | ^^^^^^ ^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `BTreeMap` [INFO] [stderr] --> examples/logistic_regression.rs:12:24 [INFO] [stderr] | [INFO] [stderr] 12 | use std::collections::{BTreeMap, BTreeSet}; [INFO] [stderr] | ^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `x` [INFO] [stderr] --> examples/alexnet.rs:4:12 [INFO] [stderr] | [INFO] [stderr] 4 | fn alexnet(x: Var) { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_x` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: function is never used: `alexnet` [INFO] [stderr] --> examples/alexnet.rs:4:4 [INFO] [stderr] | [INFO] [stderr] 4 | fn alexnet(x: Var) { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused imports: `Linear`, `Op` [INFO] [stderr] --> tests/test_auto_diff.rs:4:21 [INFO] [stderr] | [INFO] [stderr] 4 | use auto_diff::op::{Op, Linear}; [INFO] [stderr] | ^^ ^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused import: `auto_diff::rand::*` [INFO] [stderr] --> tests/test_auto_diff.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | use auto_diff::rand::*; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: 4 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: unused variable: `i` [INFO] [stderr] --> examples/linear_regression.rs:48:9 [INFO] [stderr] | [INFO] [stderr] 48 | for i in 0..100 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: variable `N` should have a snake case name [INFO] [stderr] --> examples/linear_regression.rs:13:9 [INFO] [stderr] | [INFO] [stderr] 13 | let N = 10; [INFO] [stderr] | ^ help: convert the identifier to snake case: `n` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(non_snake_case)]` on by default [INFO] [stderr] [INFO] [stderr] warning: 2 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> examples/logistic_regression.rs:20:9 [INFO] [stderr] | [INFO] [stderr] 20 | let mut size = 0; [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: value assigned to `ill` is never read [INFO] [stderr] --> examples/logistic_regression.rs:29:9 [INFO] [stderr] | [INFO] [stderr] 29 | ill = line[1].trim().parse::().expect(""); [INFO] [stderr] | ^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_assignments)]` on by default [INFO] [stderr] = help: maybe it is overwritten before being read? [INFO] [stderr] [INFO] [stderr] warning: unused variable: `c` [INFO] [stderr] --> tests/test_auto_diff.rs:51:9 [INFO] [stderr] | [INFO] [stderr] 51 | let c = my_add(&a, &b); [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_c` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> examples/logistic_regression.rs:20:9 [INFO] [stderr] | [INFO] [stderr] 20 | let mut size = 0; [INFO] [stderr] | ----^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_mut)]` on by default [INFO] [stderr] [INFO] [stderr] warning: 3 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: 4 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: unused imports: `Throughput`, `black_box` [INFO] [stderr] --> benches/elemwise_benchmark.rs:1:17 [INFO] [stderr] | [INFO] [stderr] 1 | use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput, BenchmarkId}; [INFO] [stderr] | ^^^^^^^^^ ^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused import: `std::iter` [INFO] [stderr] --> benches/elemwise_benchmark.rs:2:5 [INFO] [stderr] | [INFO] [stderr] 2 | use std::iter; [INFO] [stderr] | ^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `Throughput`, `black_box` [INFO] [stderr] --> benches/tensor_benchmark.rs:1:17 [INFO] [stderr] | [INFO] [stderr] 1 | use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput, BenchmarkId}; [INFO] [stderr] | ^^^^^^^^^ ^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused import: `std::iter` [INFO] [stderr] --> benches/tensor_benchmark.rs:2:5 [INFO] [stderr] | [INFO] [stderr] 2 | use std::iter; [INFO] [stderr] | ^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused variable: `tmp2` [INFO] [stderr] --> benches/elemwise_benchmark.rs:22:21 [INFO] [stderr] | [INFO] [stderr] 22 | let tmp2 = tmp.mul(&tmp); [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_tmp2` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/elemwise_benchmark.rs:19:81 [INFO] [stderr] | [INFO] [stderr] 19 | group.bench_with_input(BenchmarkId::new("naive", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `m_result` [INFO] [stderr] --> benches/elemwise_benchmark.rs:27:21 [INFO] [stderr] | [INFO] [stderr] 27 | let m_result = GenTensor::::squared_error(&m1, &m2); [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_m_result` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/elemwise_benchmark.rs:25:81 [INFO] [stderr] | [INFO] [stderr] 25 | group.bench_with_input(BenchmarkId::new("local", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `tmp2` [INFO] [stderr] --> benches/elemwise_benchmark.rs:35:21 [INFO] [stderr] | [INFO] [stderr] 35 | let tmp2 = &tmp*&tmp; [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_tmp2` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/elemwise_benchmark.rs:32:83 [INFO] [stderr] | [INFO] [stderr] 32 | group.bench_with_input(BenchmarkId::new("ndarray", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `m3` [INFO] [stderr] --> benches/tensor_benchmark.rs:15:13 [INFO] [stderr] | [INFO] [stderr] 15 | let m3 = m1.add(&m1); [INFO] [stderr] | ^^ help: if this is intentional, prefix it with an underscore: `_m3` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `m_result` [INFO] [stderr] --> benches/tensor_benchmark.rs:27:21 [INFO] [stderr] | [INFO] [stderr] 27 | let m_result = m1.add(&m1); [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_m_result` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/tensor_benchmark.rs:25:79 [INFO] [stderr] | [INFO] [stderr] 25 | group.bench_with_input(BenchmarkId::new("add", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `m_result` [INFO] [stderr] --> benches/tensor_benchmark.rs:32:21 [INFO] [stderr] | [INFO] [stderr] 32 | let m_result = m1.mul(&m1); [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_m_result` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/tensor_benchmark.rs:30:79 [INFO] [stderr] | [INFO] [stderr] 30 | group.bench_with_input(BenchmarkId::new("mul", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `m_result` [INFO] [stderr] --> benches/tensor_benchmark.rs:38:21 [INFO] [stderr] | [INFO] [stderr] 38 | let m_result = md * md; [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_m_result` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `size` [INFO] [stderr] --> benches/tensor_benchmark.rs:36:87 [INFO] [stderr] | [INFO] [stderr] 36 | group.bench_with_input(BenchmarkId::new("mul_ndarray", size*size), size, |b, &size| { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_size` [INFO] [stderr] [INFO] [stderr] warning: 8 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: 9 warnings emitted [INFO] [stderr] [INFO] [stderr] warning: unused variable: `va` [INFO] [stderr] --> src/var.rs:383:13 [INFO] [stderr] | [INFO] [stderr] 383 | let va = m.var(); [INFO] [stderr] | ^^ help: if this is intentional, prefix it with an underscore: `_va` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: 1 warning emitted [INFO] [stderr] [INFO] [stderr] Finished dev [unoptimized + debuginfo] target(s) in 5m 03s [INFO] running `"docker" "inspect" "34e9fe072a8ed6bf3625e6be058b65b00e9acbafd3819d8693724cf30c1d13ec"` [INFO] running `"docker" "rm" "-f" "34e9fe072a8ed6bf3625e6be058b65b00e9acbafd3819d8693724cf30c1d13ec"` [INFO] [stdout] 34e9fe072a8ed6bf3625e6be058b65b00e9acbafd3819d8693724cf30c1d13ec