[INFO] fetching crate rustyml 0.6.2... [INFO] testing rustyml-0.6.2 against try#8de4c7234dd9b97c9d76b58671343fdbbc9a433e+target=x86_64-unknown-linux-musl for musl_upgrade_1_2_5_with_libc_patch_0 [INFO] extracting crate rustyml 0.6.2 into /workspace/builds/worker-5-tc1/source [INFO] started tweaking crates.io crate rustyml 0.6.2 [INFO] finished tweaking crates.io crate rustyml 0.6.2 [INFO] tweaked toml for crates.io crate rustyml 0.6.2 written to /workspace/builds/worker-5-tc1/source/Cargo.toml [INFO] validating manifest of crates.io crate rustyml 0.6.2 on toolchain 8de4c7234dd9b97c9d76b58671343fdbbc9a433e [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate crates.io crate rustyml 0.6.2 already has a lockfile, it will not be regenerated [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded statrs v0.18.0 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/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" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] fe0046742eaf66c3453d4e85a5e65539603943d0d20cf0ee150da015b19004b1 [INFO] running `Command { std: "docker" "start" "-a" "fe0046742eaf66c3453d4e85a5e65539603943d0d20cf0ee150da015b19004b1", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "fe0046742eaf66c3453d4e85a5e65539603943d0d20cf0ee150da015b19004b1", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "fe0046742eaf66c3453d4e85a5e65539603943d0d20cf0ee150da015b19004b1", kill_on_drop: false }` [INFO] [stdout] fe0046742eaf66c3453d4e85a5e65539603943d0d20cf0ee150da015b19004b1 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/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" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "build" "--frozen" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] d7e037a41784e04fb350eb20c19493fcd0263ae6be036126e3106293748a43fe [INFO] running `Command { std: "docker" "start" "-a" "d7e037a41784e04fb350eb20c19493fcd0263ae6be036126e3106293748a43fe", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.171 [INFO] [stderr] Compiling libm v0.2.11 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling zerocopy v0.8.24 [INFO] [stderr] Compiling crossbeam-utils v0.8.21 [INFO] [stderr] Compiling proc-macro2 v1.0.94 [INFO] [stderr] Compiling getrandom v0.3.2 [INFO] [stderr] Compiling matrixmultiply v0.3.9 [INFO] [stderr] Compiling rawpointer v0.2.1 [INFO] [stderr] Compiling bytemuck v1.22.0 [INFO] [stderr] Compiling either v1.15.0 [INFO] [stderr] Compiling safe_arch v0.7.4 [INFO] [stderr] Compiling ahash v0.8.12 [INFO] [stderr] Compiling once_cell v1.21.3 [INFO] [stderr] Compiling crossbeam-epoch v0.9.18 [INFO] [stderr] Compiling wide v0.7.32 [INFO] [stderr] Compiling quote v1.0.40 [INFO] [stderr] Compiling crossbeam-deque v0.8.6 [INFO] [stderr] Compiling syn v2.0.100 [INFO] [stderr] Compiling getrandom v0.2.15 [INFO] [stderr] Compiling rayon-core v1.12.1 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling rand_core v0.9.3 [INFO] [stderr] Compiling rayon v1.10.0 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling approx v0.5.1 [INFO] [stderr] Compiling num-rational v0.4.2 [INFO] [stderr] Compiling simba v0.9.0 [INFO] [stderr] Compiling ppv-lite86 v0.2.21 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand_chacha v0.9.0 [INFO] [stderr] Compiling rand v0.9.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling rand_distr v0.5.1 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling ndarray v0.16.1 [INFO] [stderr] Compiling nalgebra-macros v0.2.2 [INFO] [stderr] Compiling ndarray-rand v0.15.0 [INFO] [stderr] Compiling nalgebra v0.33.2 [INFO] [stderr] Compiling statrs v0.18.0 [INFO] [stderr] Compiling rustyml v0.6.2 (/opt/rustwide/workdir) [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_1d.rs:228:5 [INFO] [stdout] | [INFO] [stdout] 228 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_2d.rs:314:5 [INFO] [stdout] | [INFO] [stdout] 314 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_3d.rs:258:5 [INFO] [stdout] | [INFO] [stdout] 258 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv1d.rs:532:20 [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv2d.rs:640:20 [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv3d.rs:597:20 [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/dense.rs:302:20 [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/depthwise_conv2d.rs:580:20 [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/flatten.rs:155:5 [INFO] [stdout] | [INFO] [stdout] 155 | no_trainable_parameters_layer_functions!(); [INFO] [stdout] | ------------------------------------------ in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_1d.rs:153:5 [INFO] [stdout] | [INFO] [stdout] 153 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_2d.rs:168:5 [INFO] [stdout] | [INFO] [stdout] 168 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_3d.rs:180:5 [INFO] [stdout] | [INFO] [stdout] 180 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_1d.rs:169:5 [INFO] [stdout] | [INFO] [stdout] 169 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_2d.rs:191:5 [INFO] [stdout] | [INFO] [stdout] 191 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_3d.rs:182:5 [INFO] [stdout] | [INFO] [stdout] 182 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/lstm.rs:579:20 [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_1d.rs:225:5 [INFO] [stdout] | [INFO] [stdout] 225 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_2d.rs:267:5 [INFO] [stdout] | [INFO] [stdout] 267 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_3d.rs:268:5 [INFO] [stdout] | [INFO] [stdout] 268 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/separable_conv2d.rs:737:20 [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/simple_rnn.rs:300:20 [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/sequential.rs:194:24 [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/traits.rs:160:20 [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight; [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight<'_>; [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 38.85s [INFO] running `Command { std: "docker" "inspect" "d7e037a41784e04fb350eb20c19493fcd0263ae6be036126e3106293748a43fe", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d7e037a41784e04fb350eb20c19493fcd0263ae6be036126e3106293748a43fe", kill_on_drop: false }` [INFO] [stdout] d7e037a41784e04fb350eb20c19493fcd0263ae6be036126e3106293748a43fe [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/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" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--no-run" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] a9e51ae536a893e38ac4a646c5bedee6247a27d6ef57908d650507afdbc7c6ae [INFO] running `Command { std: "docker" "start" "-a" "a9e51ae536a893e38ac4a646c5bedee6247a27d6ef57908d650507afdbc7c6ae", kill_on_drop: false }` [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_1d.rs:228:5 [INFO] [stdout] | [INFO] [stdout] 228 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_2d.rs:314:5 [INFO] [stdout] | [INFO] [stdout] 314 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_3d.rs:258:5 [INFO] [stdout] | [INFO] [stdout] 258 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv1d.rs:532:20 [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv2d.rs:640:20 [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv3d.rs:597:20 [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/dense.rs:302:20 [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/depthwise_conv2d.rs:580:20 [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/flatten.rs:155:5 [INFO] [stdout] | [INFO] [stdout] 155 | no_trainable_parameters_layer_functions!(); [INFO] [stdout] | ------------------------------------------ in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_1d.rs:153:5 [INFO] [stdout] | [INFO] [stdout] 153 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_2d.rs:168:5 [INFO] [stdout] | [INFO] [stdout] 168 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_3d.rs:180:5 [INFO] [stdout] | [INFO] [stdout] 180 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_1d.rs:169:5 [INFO] [stdout] | [INFO] [stdout] 169 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_2d.rs:191:5 [INFO] [stdout] | [INFO] [stdout] 191 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_3d.rs:182:5 [INFO] [stdout] | [INFO] [stdout] 182 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Compiling rustyml v0.6.2 (/opt/rustwide/workdir) [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/lstm.rs:579:20 [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_1d.rs:225:5 [INFO] [stdout] | [INFO] [stdout] 225 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_2d.rs:267:5 [INFO] [stdout] | [INFO] [stdout] 267 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_3d.rs:268:5 [INFO] [stdout] | [INFO] [stdout] 268 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/separable_conv2d.rs:737:20 [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/simple_rnn.rs:300:20 [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/sequential.rs:194:24 [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/traits.rs:160:20 [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight; [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight<'_>; [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_1d.rs:228:5 [INFO] [stdout] | [INFO] [stdout] 228 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_2d.rs:314:5 [INFO] [stdout] | [INFO] [stdout] 314 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/average_pooling_3d.rs:258:5 [INFO] [stdout] | [INFO] [stdout] 258 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv1d.rs:532:20 [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 532 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv2d.rs:640:20 [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 640 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/conv3d.rs:597:20 [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 597 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/dense.rs:302:20 [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 302 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/depthwise_conv2d.rs:580:20 [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 580 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/flatten.rs:155:5 [INFO] [stdout] | [INFO] [stdout] 155 | no_trainable_parameters_layer_functions!(); [INFO] [stdout] | ------------------------------------------ in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_1d.rs:153:5 [INFO] [stdout] | [INFO] [stdout] 153 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_2d.rs:168:5 [INFO] [stdout] | [INFO] [stdout] 168 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_average_pooling_3d.rs:180:5 [INFO] [stdout] | [INFO] [stdout] 180 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_1d.rs:169:5 [INFO] [stdout] | [INFO] [stdout] 169 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_2d.rs:191:5 [INFO] [stdout] | [INFO] [stdout] 191 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/global_max_pooling_3d.rs:182:5 [INFO] [stdout] | [INFO] [stdout] 182 | layer_functions_global_pooling!(); [INFO] [stdout] | --------------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/lstm.rs:579:20 [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 579 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_1d.rs:225:5 [INFO] [stdout] | [INFO] [stdout] 225 | layer_functions_1d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_2d.rs:267:5 [INFO] [stdout] | [INFO] [stdout] 267 | layer_functions_2d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer.rs:59:24 [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] ::: src/neural_network/layer/max_pooling_3d.rs:268:5 [INFO] [stdout] | [INFO] [stdout] 268 | layer_functions_3d_pooling!(); [INFO] [stdout] | ----------------------------- in this macro invocation [INFO] [stdout] | [INFO] [stdout] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/separable_conv2d.rs:737:20 [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 737 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/layer/simple_rnn.rs:300:20 [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 300 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/neural_network/sequential.rs:194:24 [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec { [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 194 | pub fn get_weights(&self) -> Vec> { [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stdout] --> src/traits.rs:160:20 [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight; [INFO] [stdout] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stdout] | | [INFO] [stdout] | this lifetime flows to the output [INFO] [stdout] | [INFO] [stdout] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stdout] | [INFO] [stdout] 160 | fn get_weights(&self) -> LayerWeight<'_>; [INFO] [stdout] | ++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 10.06s [INFO] running `Command { std: "docker" "inspect" "a9e51ae536a893e38ac4a646c5bedee6247a27d6ef57908d650507afdbc7c6ae", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "a9e51ae536a893e38ac4a646c5bedee6247a27d6ef57908d650507afdbc7c6ae", kill_on_drop: false }` [INFO] [stdout] a9e51ae536a893e38ac4a646c5bedee6247a27d6ef57908d650507afdbc7c6ae [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/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" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] 380e1230931081259572264e118543904f11f426b61e6dba88c2c6037586bb3f [INFO] running `Command { std: "docker" "start" "-a" "380e1230931081259572264e118543904f11f426b61e6dba88c2c6037586bb3f", kill_on_drop: false }` [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/average_pooling_1d.rs:228:5 [INFO] [stderr] | [INFO] [stderr] 228 | layer_functions_1d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/average_pooling_2d.rs:314:5 [INFO] [stderr] | [INFO] [stderr] 314 | layer_functions_2d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/average_pooling_3d.rs:258:5 [INFO] [stderr] | [INFO] [stderr] 258 | layer_functions_3d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/conv1d.rs:532:20 [INFO] [stderr] | [INFO] [stderr] 532 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 532 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/conv2d.rs:640:20 [INFO] [stderr] | [INFO] [stderr] 640 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 640 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/conv3d.rs:597:20 [INFO] [stderr] | [INFO] [stderr] 597 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 597 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/dense.rs:302:20 [INFO] [stderr] | [INFO] [stderr] 302 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 302 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/depthwise_conv2d.rs:580:20 [INFO] [stderr] | [INFO] [stderr] 580 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 580 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/flatten.rs:155:5 [INFO] [stderr] | [INFO] [stderr] 155 | no_trainable_parameters_layer_functions!(); [INFO] [stderr] | ------------------------------------------ in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_average_pooling_1d.rs:153:5 [INFO] [stderr] | [INFO] [stderr] 153 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_average_pooling_2d.rs:168:5 [INFO] [stderr] | [INFO] [stderr] 168 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_average_pooling_3d.rs:180:5 [INFO] [stderr] | [INFO] [stderr] 180 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_max_pooling_1d.rs:169:5 [INFO] [stderr] | [INFO] [stderr] 169 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_max_pooling_2d.rs:191:5 [INFO] [stderr] | [INFO] [stderr] 191 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/global_max_pooling_3d.rs:182:5 [INFO] [stderr] | [INFO] [stderr] 182 | layer_functions_global_pooling!(); [INFO] [stderr] | --------------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_global_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/lstm.rs:579:20 [INFO] [stderr] | [INFO] [stderr] 579 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 579 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/max_pooling_1d.rs:225:5 [INFO] [stderr] | [INFO] [stderr] 225 | layer_functions_1d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_1d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/max_pooling_2d.rs:267:5 [INFO] [stderr] | [INFO] [stderr] 267 | layer_functions_2d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_2d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer.rs:59:24 [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] ::: src/neural_network/layer/max_pooling_3d.rs:268:5 [INFO] [stderr] | [INFO] [stderr] 268 | layer_functions_3d_pooling!(); [INFO] [stderr] | ----------------------------- in this macro invocation [INFO] [stderr] | [INFO] [stderr] = note: this warning originates in the macro `no_trainable_parameters_layer_functions` which comes from the expansion of the macro `layer_functions_3d_pooling` (in Nightly builds, run with -Z macro-backtrace for more info) [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 59 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/separable_conv2d.rs:737:20 [INFO] [stderr] | [INFO] [stderr] 737 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 737 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/layer/simple_rnn.rs:300:20 [INFO] [stderr] | [INFO] [stderr] 300 | fn get_weights(&self) -> LayerWeight { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 300 | fn get_weights(&self) -> LayerWeight<'_> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/neural_network/sequential.rs:194:24 [INFO] [stderr] | [INFO] [stderr] 194 | pub fn get_weights(&self) -> Vec { [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 194 | pub fn get_weights(&self) -> Vec> { [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: lifetime flowing from input to output with different syntax can be confusing [INFO] [stderr] --> src/traits.rs:160:20 [INFO] [stderr] | [INFO] [stderr] 160 | fn get_weights(&self) -> LayerWeight; [INFO] [stderr] | ^^^^^ ----------- the lifetime gets resolved as `'_` [INFO] [stderr] | | [INFO] [stderr] | this lifetime flows to the output [INFO] [stderr] | [INFO] [stderr] help: one option is to remove the lifetime for references and use the anonymous lifetime for paths [INFO] [stderr] | [INFO] [stderr] 160 | fn get_weights(&self) -> LayerWeight<'_>; [INFO] [stderr] | ++++ [INFO] [stderr] [INFO] [stderr] warning: `rustyml` (lib) generated 23 warnings (run `cargo fix --lib -p rustyml` to apply 23 suggestions) [INFO] [stderr] warning: `rustyml` (lib test) generated 23 warnings (23 duplicates) [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 0.06s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/x86_64-unknown-linux-musl/debug/deps/rustyml-43cf2f0ebf8eca37) [INFO] [stdout] [INFO] [stdout] running 324 tests [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_empty_data ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_get_core_sample_indices_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_get_labels_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_default ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_getters ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_new ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_predict_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_decision_tree_new ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_decision_tree_params_default ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_decision_tree_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_decision_tree_with_custom_params ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_error_handling ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_predict ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_fit_simple_data ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_fit_predict_regressor ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_fit_predict_classifier ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_error_handling ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_node_creation ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_dimension_validation ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_isolation_forest_getters ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_isolation_forest_new ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_different_algorithms ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_max_depth_parameter ... ok [INFO] [stdout] test test::machine_learning_test::decision_tree_test::test_predict_proba ... ok [INFO] [stdout] test test::machine_learning_test::dbscan_test::test_different_metrics ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_isolation_forest_fit ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_isolation_forest_anomaly_score ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_isolation_forest_predict ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_new_and_default ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_fit_predict_empty_data ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_default ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_empty_train ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_fit ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_new ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_distance_weights ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_predict_manhattan ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_with_k3 ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_different_cluster_counts ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_default_constructor ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_string_labels ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_fit ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_new_constructor ... ok [INFO] [stdout] test test::machine_learning_test::knn_test::test_knn_predict_euclidean_uniform ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_not_fitted_error ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_getters ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_default ... ok [INFO] [stdout] test test::machine_learning_test::kmeans_test::test_predict ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_error_handling ... ok [INFO] [stdout] test test::machine_learning_test::isolation_forest_test::test_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_fit_with_invalid_data ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_getters_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_new ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_default_constructor ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_no_intercept ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_fit_and_predict_simple_case ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_different_penalties ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_generate_polynomial_features ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_new_constructor ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_predict_proba ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_decision_function ... ok [INFO] [stdout] test test::machine_learning_test::linear_svc_test::test_fit_predict_simple_case ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_estimate_bandwidth ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_fit_with_max_iterations ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_default ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_fit ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_getters_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_new ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_meanshift_predict ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_decision_function ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_different_kernels ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_error_handling ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_fit_and_predict_linear ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_fit_and_predict_rbf ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_getters_before_fit ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_svc_constructor ... ok [INFO] [stdout] test test::machine_learning_test::svc_test::test_svc_default ... ok [INFO] [stdout] test test::math_module_test::test_entropy_balanced_binary ... ok [INFO] [stdout] test test::math_module_test::test_entropy_empty ... ok [INFO] [stdout] test test::math_module_test::test_entropy_homogeneous ... ok [INFO] [stdout] test test::math_module_test::test_entropy_multiclass ... ok [INFO] [stdout] test test::math_module_test::test_entropy_unbalanced ... ok [INFO] [stdout] test test::math_module_test::test_gain_ratio ... ok [INFO] [stdout] test test::math_module_test::test_gain_ratio_zero_split_info ... ok [INFO] [stdout] test test::math_module_test::test_gini_balanced_binary ... ok [INFO] [stdout] test test::math_module_test::test_gini_empty ... ok [INFO] [stdout] test test::math_module_test::test_gini_homogeneous ... ok [INFO] [stdout] test test::math_module_test::test_gini_unbalanced ... ok [INFO] [stdout] test test::math_module_test::test_information_gain ... ok [INFO] [stdout] test test::math_module_test::test_information_gain_no_improvement ... ok [INFO] [stdout] test test::math_module_test::test_logistic_loss ... ok [INFO] [stdout] test test::math_module_test::test_logistic_loss_different_lengths - should panic ... ok [INFO] [stdout] test test::math_module_test::test_logistic_loss_invalid_labels - should panic ... ok [INFO] [stdout] test test::math_module_test::test_manhattan_distance_row ... ok [INFO] [stdout] test test::math_module_test::test_minkowski_distance_row ... ok [INFO] [stdout] test test::math_module_test::test_minkowski_with_invalid_p - should panic ... ok [INFO] [stdout] test test::math_module_test::test_sigmoid ... ok [INFO] [stdout] test test::math_module_test::test_squared_euclidean_distance_row ... ok [INFO] [stdout] test test::math_module_test::test_standard_deviation ... ok [INFO] [stdout] test test::math_module_test::test_sum_of_square_total ... ok [INFO] [stdout] test test::math_module_test::test_sum_of_squared_errors ... ok [INFO] [stdout] test test::math_module_test::test_sum_of_squared_errors_different_lengths - should panic ... ok [INFO] [stdout] test test::math_module_test::test_variance_constant ... ok [INFO] [stdout] test test::math_module_test::test_variance_empty ... ok [INFO] [stdout] test test::math_module_test::test_variance_simple ... ok [INFO] [stdout] test test::math_module_test::test_variance_with_variance ... ok [INFO] [stdout] test test::metric_module_test::test_accuracy ... ok [INFO] [stdout] test test::metric_module_test::test_accuracy_with_different_length_arrays - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_empty_input - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_length_mismatch - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_no_negative - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_no_positive - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_valid ... ok [INFO] [stdout] test test::metric_module_test::test_calculate_auc_with_ties ... ok [INFO] [stdout] test test::metric_module_test::test_confusion_matrix_accuracy ... ok [INFO] [stdout] test test::metric_module_test::test_confusion_matrix_new ... ok [INFO] [stdout] test test::metric_module_test::test_confusion_matrix_new_error - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_constant_labels ... ok [INFO] [stdout] test test::metric_module_test::test_different_clusterings ... ok [INFO] [stdout] test test::metric_module_test::test_error_rate ... ok [INFO] [stdout] test test::metric_module_test::test_f1_score ... ok [INFO] [stdout] test test::metric_module_test::test_get_counts ... ok [INFO] [stdout] test test::metric_module_test::test_identical_clusterings ... ok [INFO] [stdout] test test::metric_module_test::test_length_mismatch - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_mae_empty_arrays ... ok [INFO] [stdout] test test::metric_module_test::test_mae_mismatched_lengths - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_mean_absolute_error ... ok [INFO] [stdout] test test::metric_module_test::test_precision ... ok [INFO] [stdout] test test::metric_module_test::test_r2_score ... ok [INFO] [stdout] test test::metric_module_test::test_recall ... ok [INFO] [stdout] test test::metric_module_test::test_rmse_empty_arrays ... ok [INFO] [stdout] test test::metric_module_test::test_rmse_mismatched_lengths - should panic ... ok [INFO] [stdout] test test::metric_module_test::test_root_mean_squared_error ... ok [INFO] [stdout] test test::metric_module_test::test_specificity ... ok [INFO] [stdout] test test::metric_module_test::test_summary ... ok [INFO] [stdout] test test::neural_network_test::activation_test::with_activation_test ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_average_pooling_1d_backward ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_average_pooling_1d_forward ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_average_pooling_1d_odd_window_size ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_average_pooling_1d_shape ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_average_pooling_1d_with_sequential ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_1d_test::test_layer_type_and_output_shape ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_2d_test::average_pooling_backprop_test ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_2d_test::average_pooling_basic_test ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_2d_test::average_pooling_different_strides_test ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_2d_test::average_pooling_non_even_input_test ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_basic ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_edge_cases ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_forward ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_gradient_flow ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_multiple_channels ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_sequential_model ... ok [INFO] [stdout] test test::neural_network_test::average_pooling_3d_test::test_average_pooling_3d_with_strides ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_activation_functions ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_different_strides ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_multiple_channels ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_parameter_count ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_sequential_with_rmsprop ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_sequential_with_sgd ... ok [INFO] [stdout] test test::neural_network_test::conv1d_test::test_conv1d_softmax_panic - should panic ... ok [INFO] [stdout] test test::neural_network_test::conv2d_test::conv2d_test ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_add_layer ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_complex_model ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_different_activations ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_different_optimizers ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_empty_model_summary ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_fit_no_layers ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_fit_no_optimizer ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_fit_success ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_get_weights ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_method_chaining ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_multiple_fit_calls ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_new ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_predict ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_predict_before_compile ... ok [INFO] [stdout] test test::neural_network_test::conv3d_test::test_sequential_summary ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_backward ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_channel_independence ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_creation ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_different_strides ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_edge_cases ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_forward ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_multiple_batches ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_same_padding ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_sequential_model ... ok [INFO] [stdout] test test::neural_network_test::depthwise_conv2d_test::test_depthwise_conv2d_training ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_flatten_3d ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_flatten_4d ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_flatten_5d ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_flatten_in_sequential ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_flatten_only_model ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_invalid_input_shape_2d - should panic ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_invalid_input_shape_6d - should panic ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_cluster_all_parameter ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_1d_test::test_global_average_pooling_1d_backward ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_1d_test::test_global_average_pooling_1d_creation ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_1d_test::test_global_average_pooling_1d_forward ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_1d_test::test_global_average_pooling_1d_sequential ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_1d_test::test_global_average_pooling_1d_zero_input ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_2d_test::test_global_average_pooling_2d ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_backward_without_forward ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_basic_functionality ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_different_spatial_dimensions ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_gradient_computation ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_invalid_input_shape - should panic ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_layer_properties ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_multiple_batches_and_channels ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_with_random_values ... ok [INFO] [stdout] test test::neural_network_test::global_average_pooling_3d_test::test_global_average_pooling_3d_with_sequential_training ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_backward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_creation ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_forward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_negative_input ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_sequential ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_1d_test::test_global_max_pooling_1d_zero_input ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_2d_test::test_global_max_pooling_backward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_2d_test::test_global_max_pooling_forward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_2d_test::test_global_max_pooling_in_sequential ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_backward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_backward_without_forward ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_forward_basic ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_forward_batch ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_invalid_input_shape - should panic ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_layer_properties ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_sequential_training ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_with_negative_values ... ok [INFO] [stdout] test test::neural_network_test::global_max_pooling_3d_test::test_global_max_pooling_3d_with_sequential ... ok [INFO] [stdout] test test::neural_network_test::layer_weight_test::test_get_weights ... ok [INFO] [stdout] test test::neural_network_test::loss_function_test::binary_cross_entropy_test ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_fit_with_intercept ... ok [INFO] [stdout] test test::neural_network_test::loss_function_test::mae_test ... ok [INFO] [stdout] test test::neural_network_test::loss_function_test::mse_test ... ok [INFO] [stdout] test test::neural_network_test::loss_function_test::sparse_categorical_cross_entropy_test ... ok [INFO] [stdout] test test::neural_network_test::loss_function_test::categorical_cross_entropy_test ... ok [INFO] [stdout] test test::neural_network_test::lstm_test::test_lstm_layer ... ok [INFO] [stdout] test test::neural_network_test::lstm_test::test_lstm_layer_basic ... ok [INFO] [stdout] test test::neural_network_test::lstm_test::test_lstm_different_activations ... ok [INFO] [stdout] test test::neural_network_test::lstm_test::test_lstm_sequential_composition ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_1d_test::test_max_pooling_1d ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_1d_test::test_max_pooling_1d_backward ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_2d_test::max_pooling_2d_edge_cases ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_2d_test::max_pooling_2d_test ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_backward_pass ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_different_strides ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_edge_cases ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_forward_pass ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_layer_properties ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_multiple_channels ... ok [INFO] [stdout] test test::neural_network_test::max_pooling_3d_test::test_max_pooling_3d_with_sequential ... ok [INFO] [stdout] test test::neural_network_test::optimizer_test::adam_test ... ok [INFO] [stdout] test test::neural_network_test::optimizer_test::rmsprop_test ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_basic ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_batch_processing ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_different_depth_multiplier ... ok [INFO] [stdout] test test::neural_network_test::flatten_test::test_multiple_layers_with_flatten ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_get_weights ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_different_optimizers ... ok [INFO] [stdout] test test::machine_learning_test::logistic_regression_test::test_fit_predict ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_output_shape_calculation ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_multiple_training_calls ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_valid_padding ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_with_strides ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_training ... ok [INFO] [stdout] test test::neural_network_test::simple_rnn_test::test_simple_rnn_different_activations ... ok [INFO] [stdout] test test::neural_network_test::simple_rnn_test::test_simple_rnn_layer ... ok [INFO] [stdout] test test::neural_network_test::simple_rnn_test::test_simple_rnn_layer_basic ... ok [INFO] [stdout] test test::neural_network_test::simple_rnn_test::test_simple_rnn_sequential_composition ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_compute_kernel_linear ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_compute_kernel_poly ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_compute_kernel_rbf ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_compute_kernel_sigmoid ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_different_kernel_types ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_fit_and_transform ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_fit_invalid_inputs ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_fit_simple_case ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_fit_transform ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_getter_methods ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_getters_not_fitted ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_kernel_pca_default ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_kernel_pca_new ... ok [INFO] [stdout] test test::utility_test::kernel_pca_test::test_transform_not_fitted ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_fit_basic ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_fit_transform ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_fit_validation_errors ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_getters_on_unfitted_model ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_lda_default ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_lda_new ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_predict ... ok [INFO] [stdout] test test::utility_test::linear_discriminant_analysis_test::test_transform ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_errors_when_not_fitted ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_fit_and_transform ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_fit_transform ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_inverse_transform ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_pca_default ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_pca_new ... ok [INFO] [stdout] test test::neural_network_test::separable_conv2d_test::test_separable_conv2d_large_kernel ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_standardize ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_variance_explained_properties ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_with_different_n_components ... ok [INFO] [stdout] test test::utility_test::principal_component_analysis_test::test_pca_with_random_data ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_fit_transform_validation ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_fit_transform_dimensions ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_result_is_zero_mean ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_tsne_default ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_tsne_new ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_tsne_partial_params ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_consistent_x_y_split ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_default_parameters ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_different_random_states_give_different_splits ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_error_different_sample_sizes ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_error_invalid_test_size ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_same_random_state_gives_same_split ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_small_dataset ... ok [INFO] [stdout] test test::utility_test::train_test_split_test::test_train_test_split_valid_input ... ok [INFO] [stdout] test test::utility_test::t_sne_test::test_reproducibility ... ok [INFO] [stdout] test test::neural_network_test::lstm_test::test_lstm_overfitting ... ok [INFO] [stdout] test test::neural_network_test::simple_rnn_test::test_simple_rnn_overfitting ... ok [INFO] [stdout] test test::machine_learning_test::meanshift_test::test_bin_seeding ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_linear_regression_fit_predict ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_fit_and_predict ... ok [INFO] [stdout] test test::machine_learning_test::linear_regression_test::test_multivariate_regression ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 324 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 16.81s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "380e1230931081259572264e118543904f11f426b61e6dba88c2c6037586bb3f", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "380e1230931081259572264e118543904f11f426b61e6dba88c2c6037586bb3f", kill_on_drop: false }` [INFO] [stdout] 380e1230931081259572264e118543904f11f426b61e6dba88c2c6037586bb3f