2025-06-18 07:41.02: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d8187fceb937314865f544477433be3febb0ee0a) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d8187fce cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613 # alpine-3.21-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e e87127a46b6e17aa7aea2b54b5dac3249ff8d68f || git fetch origin master) && git reset -q --hard e87127a46b6e17aa7aea2b54b5dac3249ff8d68f && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-06-18 07:41.02: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613-alpine-3.21-5.3_opam-2.3-007fa67b61454f3232b781ef998bbe67" 2025-06-18 07:41.02: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613) (comment alpine-3.21-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e e87127a46b6e17aa7aea2b54b5dac3249ff8d68f || git fetch origin master) && git reset -q --hard e87127a46b6e17aa7aea2b54b5dac3249ff8d68f && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-06-18 07:41.02: Waiting for resource in pool OCluster 2025-06-18 07:41.02: Waiting for worker… 2025-06-18 07:41.02: Got resource from pool OCluster Building on bremusa.ocamllabs.io All commits already cached HEAD is now at d8187fce A step away from the expect-test framework (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613) 2025-06-18 07:42.37 ---> using "3141b9cf5ba038771635d2742247938bc41e269100016f85aeafaf7cfcddc947" from cache /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-18 07:42.37 ---> using "80b751ed47c43451e88cd0293ed9a635ccea08011eeda4114e7ec036c06c48a3" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-18 07:42.37 ---> using "6c30ca4e379a499434293ac7ae4ccb6757139c93d8bc5916b7557572123e5ba0" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-59-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-18 07:42.37 ---> using "a3df42546ff5706a2753d5e221aadf5e7ea87ec715342ceb488042e5402600c3" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-18 07:42.37 ---> using "17ab95ba4820eaae0552c498f14e3328c5320ed844b460f0519c8783adab646a" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e e87127a46b6e17aa7aea2b54b5dac3249ff8d68f || git fetch origin master) && git reset -q --hard e87127a46b6e17aa7aea2b54b5dac3249ff8d68f && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD bc726805e3..e87127a46b master -> origin/master e87127a46b Merge pull request #28035 from xavierleroy/num-1.6 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-06-18 07:43.06 ---> saved as "03d65b836007ad0d0e531f7cd31fc5bc1d8781b1c5409595c3135318823b2413" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-18 07:43.06 ---> saved as "e9cb3df7ea6b5ab8c0974b879c089273d5cea4dd6a32116aedab90e61934b748" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-06-18 07:43.15 ---> saved as "0b2354ae1696a004fc17403107e797894ed51c4785a9b74c63be136db9e07ec4" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-18 07:43.16 ---> saved as "a7c88126da25cb299de48bedb8cbf97ff538dda613237c1fa43db5a98daa0bfe" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-603-g364e1f9788f [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-605-g3307d5c253d [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v3.23.0_alpha20250612-382-g07e15be93d5 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v3.23.0_alpha20250612-388-gfeecbd2bd3b [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v3.23.0_alpha20250612-389-gb12e89c2617 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58749 distinct packages available <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-06-18 07:43.52 ---> saved as "2cdfac5b136607fd069b4961aaf04ff15127618b83a3e3bf257ea28a404d8fab" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.3 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.19.1 - install dune-configurator 3.19.1 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.6 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.1 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.3 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.6 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.19.1, dune-configurator.3.19.1 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.6 -> installed seq.base -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.1 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.1 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.3 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-18 07:47.31 ---> saved as "d896ff9d35373587e9b876d0c87da94ef438b478b31b460181ac6c3e9a9e277a" /src: (copy (src .) (dst /src)) 2025-06-18 07:47.32 ---> saved as "07a4b04a79c1b2a62f78e5af057e783ccd9dc9e2af6731ff6192e3c3537be2a2" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/test_print_style.expected", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/test_print_style.expected _build/default/test/test_print_style.exe.output diff --git a/_build/default/test/test_print_style.expected b/_build/default/test/test_print_style.exe.output index e51ab37..c55c8ad 100644 --- a/_build/default/test/test_print_style.expected +++ b/_build/default/test/test_print_style.exe.output @@ -1,5 +1,5 @@ -Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/ocannl_config. +Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Testing print_style functionality: (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0549266c00e9720445b03f3f40231bd8/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/einsum/einsum_trivia_exec.expected", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum/einsum_trivia_exec.expected _build/default/test/einsum/einsum_trivia_exec.exe.output diff --git a/_build/default/test/einsum/einsum_trivia_exec.expected b/_build/default/test/einsum/einsum_trivia_exec.exe.output index cb9dbd5..3095afd 100644 --- a/_build/default/test/einsum/einsum_trivia_exec.expected +++ b/_build/default/test/einsum/einsum_trivia_exec.exe.output @@ -1,5 +1,5 @@ -Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/einsum/ocannl_config. +Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/einsum/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file HERE: test/einsum/einsum_trivia_exec.ml:30:21 (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/einsum/moons_demo_variant.expected", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum/moons_demo_variant.expected _build/default/test/einsum/moons_demo_variant.exe.output diff --git a/_build/default/test/einsum/moons_demo_variant.expected b/_build/default/test/einsum/moons_demo_variant.exe.output index 68171df..e06f657 100644 --- a/_build/default/test/einsum/moons_demo_variant.expected +++ b/_build/default/test/einsum/moons_demo_variant.exe.output @@ -1,5 +1,5 @@ -Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/einsum/ocannl_config. +Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/einsum/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Half-moons scatterplot and decision boundary: (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1cb22f88ea06de7a9de60c01d11b3033/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198500, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198250, batch loss=0.617856, epoch loss=39.019367 Batch=479, step=480, lr=0.198000, batch loss=0.822699, epoch loss=39.842066 Batch=539, step=540, lr=0.198000, batch loss=0.688491, epoch loss=40.530557 Batch=599, step=600, lr=0.197750, batch loss=1.066175, epoch loss=41.596731 Batch=659, step=660, lr=0.197500, batch loss=0.483126, epoch loss=42.079858 Batch=719, step=720, lr=0.197250, batch loss=0.411298, epoch loss=42.491156 Batch=779, step=780, lr=0.197000, batch loss=0.468781, epoch loss=42.959936 Batch=839, step=840, lr=0.196750, batch loss=0.443258, epoch loss=43.403194 Batch=899, step=900, lr=0.196250, batch loss=0.383588, epoch loss=43.786782 Batch=959, step=960, lr=0.196000, batch loss=0.237066, epoch loss=44.023849 Batch=1019, step=1020, lr=0.195750, batch loss=0.440614, epoch loss=44.464462 Batch=1079, step=1080, lr=0.195750, batch loss=0.228929, epoch loss=44.693391 Batch=1139, step=1140, lr=0.195500, batch loss=0.315627, epoch loss=45.009018 Batch=1199, step=1200, lr=0.195250, batch loss=0.263061, epoch loss=45.272079 Epoch=0, step=1200, lr=0.195250, epoch loss=45.272079 Batch=59, step=1260, lr=0.195000, batch loss=0.262220, epoch loss=0.262220 Batch=119, step=1320, lr=0.194750, batch loss=0.205590, epoch loss=0.467810 Batch=179, step=1380, lr=0.194500, batch loss=0.242959, epoch loss=0.710769 Batch=239, step=1440, lr=0.194000, batch loss=0.345577, epoch loss=1.056346 Batch=299, step=1500, lr=0.194000, batch loss=0.238685, epoch loss=1.295031 Batch=359, step=1560, lr=0.193750, batch loss=0.311263, epoch loss=1.606294 Batch=419, step=1620, lr=0.193500, batch loss=0.308356, epoch loss=1.914650 Batch=479, step=1680, lr=0.193000, batch loss=0.273399, epoch loss=2.188049 Batch=539, step=1740, lr=0.193000, batch loss=0.211531, epoch loss=2.399580 Batch=599, step=1800, lr=0.192750, batch loss=0.251720, epoch loss=2.651300 Batch=659, step=1860, lr=0.192500, batch loss=0.368731, epoch loss=3.020032 Batch=719, step=1920, lr=0.192000, batch loss=0.362933, epoch loss=3.382965 Batch=779, step=1980, lr=0.192000, batch loss=0.380296, epoch loss=3.763260 Batch=839, step=2040, lr=0.191750, batch loss=0.344031, epoch loss=4.107291 Batch=899, step=2100, lr=0.191500, batch loss=0.322940, epoch loss=4.430231 Batch=959, step=2160, lr=0.191000, batch loss=0.258796, epoch loss=4.689027 Batch=1019, step=2220, lr=0.191000, batch loss=0.398320, epoch loss=5.087347 Batch=1079, step=2280, lr=0.190750, batch loss=0.243105, epoch loss=5.330453 Batch=1139, step=2340, lr=0.190500, batch loss=0.286222, epoch loss=5.616675 Batch=1199, step=2400, lr=0.190250, batch loss=0.218655, epoch loss=5.835330 Epoch=1, step=2400, lr=0.190250, epoch loss=5.835330 Batch=59, step=2460, lr=0.190000, batch loss=0.230995, epoch loss=0.230995 Batch=119, step=2520, lr=0.189500, batch loss=0.186526, epoch loss=0.417522 Batch=179, step=2580, lr=0.189250, batch loss=0.222930, epoch loss=0.640452 Batch=239, step=2640, lr=0.189000, batch loss=0.340066, epoch loss=0.980518 Batch=299, step=2700, lr=0.189000, batch loss=0.216515, epoch loss=1.197032 Batch=359, step=2760, lr=0.188750, batch loss=0.297940, epoch loss=1.494973 Batch=419, step=2820, lr=0.188500, batch loss=0.289724, epoch loss=1.784696 Batch=479, step=2880, lr=0.188250, batch loss=0.259739, epoch loss=2.044436 Batch=539, step=2940, lr=0.188000, batch loss=0.198259, epoch loss=2.242695 Batch=599, step=3000, lr=0.187750, batch loss=0.238695, epoch loss=2.481390 Batch=659, step=3060, lr=0.187500, batch loss=0.342707, epoch loss=2.824097 Batch=719, step=3120, lr=0.187000, batch loss=0.335104, epoch loss=3.159201 Batch=779, step=3180, lr=0.187000, batch loss=0.352734, epoch loss=3.511935 Batch=839, step=3240, lr=0.186750, batch loss=0.322902, epoch loss=3.834837 Batch=899, step=3300, lr=0.186250, batch loss=0.279987, epoch loss=4.114824 Batch=959, step=3360, lr=0.186250, batch loss=0.205268, epoch loss=4.320092 Batch=1019, step=3420, lr=0.186000, batch loss=0.316493, epoch loss=4.636585 Batch=1079, step=3480, lr=0.185750, batch loss=0.191398, epoch loss=4.827983 Batch=1139, step=3540, lr=0.185250, batch loss=0.238581, epoch loss=5.066565 Batch=1199, step=3600, lr=0.185000, batch loss=0.200509, epoch loss=5.267074 Epoch=2, step=3600, lr=0.185000, epoch loss=5.267074 Batch=59, step=3660, lr=0.185000, batch loss=0.221948, epoch loss=0.221948 Batch=119, step=3720, lr=0.184750, batch loss=0.184922, epoch loss=0.406870 Batch=179, step=3780, lr=0.184250, batch loss=0.211658, epoch loss=0.618528 Batch=239, step=3840, lr=0.184250, batch loss=0.317723, epoch loss=0.936250 Batch=299, step=3900, lr=0.183750, batch loss=0.209093, epoch loss=1.145343 Batch=359, step=3960, lr=0.183750, batch loss=0.286794, epoch loss=1.432137 Batch=419, step=4020, lr=0.183250, batch loss=0.279808, epoch loss=1.711944 Batch=479, step=4080, lr=0.183250, batch loss=0.254549, epoch loss=1.966493 Batch=539, step=4140, lr=0.183000, batch loss=0.201999, epoch loss=2.168492 Batch=599, step=4200, lr=0.182750, batch loss=0.242007, epoch loss=2.410499 Batch=659, step=4260, lr=0.182250, batch loss=0.329379, epoch loss=2.739878 Batch=719, step=4320, lr=0.182000, batch loss=0.328503, epoch loss=3.068381 Batch=779, step=4380, lr=0.182000, batch loss=0.351068, epoch loss=3.419449 Batch=839, step=4440, lr=0.181750, batch loss=0.319079, epoch loss=3.738529 Batch=899, step=4500, lr=0.181250, batch loss=0.291777, epoch loss=4.030305 Batch=959, step=4560, lr=0.181250, batch loss=0.241905, epoch loss=4.272211 Batch=1019, step=4620, lr=0.181000, batch loss=0.344984, epoch loss=4.617194 Batch=1079, step=4680, lr=0.180500, batch loss=0.214044, epoch loss=4.831239 Batch=1139, step=4740, lr=0.180500, batch loss=0.249750, epoch loss=5.080989 Batch=1199, step=4800, lr=0.180000, batch loss=0.191595, epoch loss=5.272583 Epoch=3, step=4800, lr=0.180000, epoch loss=5.272583 Batch=59, step=4860, lr=0.180000, batch loss=0.226741, epoch loss=0.226741 Batch=119, step=4920, lr=0.179500, batch loss=0.190358, epoch loss=0.417099 Batch=179, step=4980, lr=0.179500, batch loss=0.207360, epoch loss=0.624459 Batch=239, step=5040, lr=0.179250, batch loss=0.309256, epoch loss=0.933715 Batch=299, step=5100, lr=0.178750, batch loss=0.205762, epoch loss=1.139477 Batch=359, step=5160, lr=0.178750, batch loss=0.275339, epoch loss=1.414815 Batch=419, step=5220, lr=0.178500, batch loss=0.265303, epoch loss=1.680119 Batch=479, step=5280, lr=0.178250, batch loss=0.238847, epoch loss=1.918965 Batch=539, step=5340, lr=0.178000, batch loss=0.191153, epoch loss=2.110118 Batch=599, step=5400, lr=0.177750, batch loss=0.227807, epoch loss=2.337926 Batch=659, step=5460, lr=0.177250, batch loss=0.324802, epoch loss=2.662728 Batch=719, step=5520, lr=0.177000, batch loss=0.322008, epoch loss=2.984736 Batch=779, step=5580, lr=0.177000, batch loss=0.342911, epoch loss=3.327647 Batch=839, step=5640, lr=0.176750, batch loss=0.311242, epoch loss=3.638889 Batch=899, step=5700, lr=0.176250, batch loss=0.272921, epoch loss=3.911810 Batch=959, step=5760, lr=0.176000, batch loss=0.217057, epoch loss=4.128867 Batch=1019, step=5820, lr=0.175750, batch loss=0.332494, epoch loss=4.461361 Batch=1079, step=5880, lr=0.175500, batch loss=0.180995, epoch loss=4.642356 Batch=1139, step=5940, lr=0.175500, batch loss=0.217947, epoch loss=4.860303 Batch=1199, step=6000, lr=0.175250, batch loss=0.201987, epoch loss=5.062290 Epoch=4, step=6000, lr=0.175250, epoch loss=5.062290 Batch=59, step=6060, lr=0.175000, batch loss=0.241010, epoch loss=0.241010 Batch=119, step=6120, lr=0.174750, batch loss=0.186889, epoch loss=0.427899 Batch=179, step=6180, lr=0.174500, batch loss=0.200954, epoch loss=0.628853 Batch=239, step=6240, lr=0.174250, batch loss=0.301157, epoch loss=0.930010 Batch=299, step=6300, lr=0.174000, batch loss=0.212668, epoch loss=1.142679 Batch=359, step=6360, lr=0.173500, batch loss=0.270357, epoch loss=1.413036 Batch=419, step=6420, lr=0.173250, batch loss=0.264545, epoch loss=1.677581 Batch=479, step=6480, lr=0.173250, batch loss=0.244737, epoch loss=1.922318 Batch=539, step=6540, lr=0.173000, batch loss=0.192027, epoch loss=2.114345 Batch=599, step=6600, lr=0.172750, batch loss=0.230046, epoch loss=2.344391 Batch=659, step=6660, lr=0.172250, batch loss=0.315680, epoch loss=2.660071 Batch=719, step=6720, lr=0.172000, batch loss=0.315416, epoch loss=2.975488 Batch=779, step=6780, lr=0.172000, batch loss=0.333025, epoch loss=3.308512 Batch=839, step=6840, lr=0.171750, batch loss=0.305313, epoch loss=3.613825 Batch=899, step=6900, lr=0.171250, batch loss=0.265913, epoch loss=3.879738 Batch=959, step=6960, lr=0.171250, batch loss=0.210968, epoch loss=4.090706 Batch=1019, step=7020, lr=0.171000, batch loss=0.324032, epoch loss=4.414737 Batch=1079, step=7080, lr=0.170750, batch loss=0.176335, epoch loss=4.591073 Batch=1139, step=7140, lr=0.170500, batch loss=0.214924, epoch loss=4.805997 Batch=1199, step=7200, lr=0.170250, batch loss=0.185338, epoch loss=4.991335 Epoch=5, step=7200, lr=0.170250, epoch loss=4.991335 Batch=59, step=7260, lr=0.169750, batch loss=0.236226, epoch loss=0.236226 Batch=119, step=7320, lr=0.169750, batch loss=0.181467, epoch loss=0.417694 Batch=179, step=7380, lr=0.169500, batch loss=0.195580, epoch loss=0.613274 Batch=239, step=7440, lr=0.169000, batch loss=0.290711, epoch loss=0.903985 Batch=299, step=7500, lr=0.169000, batch loss=0.197747, epoch loss=1.101732 Batch=359, step=7560, lr=0.168750, batch loss=0.255487, epoch loss=1.357220 Batch=419, step=7620, lr=0.168500, batch loss=0.250241, epoch loss=1.607460 Batch=479, step=7680, lr=0.168250, batch loss=0.227570, epoch loss=1.835031 Batch=539, step=7740, lr=0.167750, batch loss=0.186862, epoch loss=2.021892 Batch=599, step=7800, lr=0.167500, batch loss=0.225866, epoch loss=2.247758 Batch=659, step=7860, lr=0.167500, batch loss=0.305977, epoch loss=2.553735 Batch=719, step=7920, lr=0.167000, batch loss=0.305399, epoch loss=2.859134 Batch=779, step=7980, lr=0.167000, batch loss=0.322049, epoch loss=3.181183 Batch=839, step=8040, lr=0.166500, batch loss=0.295341, epoch loss=3.476525 Batch=899, step=8100, lr=0.166500, batch loss=0.260365, epoch loss=3.736889 Batch=959, step=8160, lr=0.166000, batch loss=0.205167, epoch loss=3.942056 Batch=1019, step=8220, lr=0.165750, batch loss=0.318956, epoch loss=4.261013 Batch=1079, step=8280, lr=0.165500, batch loss=0.172877, epoch loss=4.433890 Batch=1139, step=8340, lr=0.165250, batch loss=0.210879, epoch loss=4.644768 Batch=1199, step=8400, lr=0.165000, batch loss=0.179843, epoch loss=4.824612 Epoch=6, step=8400, lr=0.165000, epoch loss=4.824612 Batch=59, step=8460, lr=0.165000, batch loss=0.226990, epoch loss=0.226990 Batch=119, step=8520, lr=0.164750, batch loss=0.175994, epoch loss=0.402983 Batch=179, step=8580, lr=0.164250, batch loss=0.188196, epoch loss=0.591180 Batch=239, step=8640, lr=0.164000, batch loss=0.277689, epoch loss=0.868869 Batch=299, step=8700, lr=0.164000, batch loss=0.193398, epoch loss=1.062267 Batch=359, step=8760, lr=0.163750, batch loss=0.248240, epoch loss=1.310507 Batch=419, step=8820, lr=0.163250, batch loss=0.246631, epoch loss=1.557138 Batch=479, step=8880, lr=0.163000, batch loss=0.227776, epoch loss=1.784914 Batch=539, step=8940, lr=0.163000, batch loss=0.180123, epoch loss=1.965037 Batch=599, step=9000, lr=0.162750, batch loss=0.216805, epoch loss=2.181842 Batch=659, step=9060, lr=0.162250, batch loss=0.295330, epoch loss=2.477172 Batch=719, step=9120, lr=0.162250, batch loss=0.294587, epoch loss=2.771759 Batch=779, step=9180, lr=0.162000, batch loss=0.317502, epoch loss=3.089261 Batch=839, step=9240, lr=0.161750, batch loss=0.286421, epoch loss=3.375682 Batch=899, step=9300, lr=0.161500, batch loss=0.252706, epoch loss=3.628388 Batch=959, step=9360, lr=0.161250, batch loss=0.187712, epoch loss=3.816100 Batch=1019, step=9420, lr=0.161000, batch loss=0.321694, epoch loss=4.137794 Batch=1079, step=9480, lr=0.160500, batch loss=0.197552, epoch loss=4.335345 Batch=1139, step=9540, lr=0.160250, batch loss=0.213440, epoch loss=4.548785 Batch=1199, step=9600, lr=0.160000, batch loss=0.168657, epoch loss=4.717442 Epoch=7, step=9600, lr=0.160000, epoch loss=4.717442 Batch=59, step=9660, lr=0.159750, batch loss=0.198724, epoch loss=0.198724 Batch=119, step=9720, lr=0.159500, batch loss=0.166603, epoch loss=0.365327 Batch=179, step=9780, lr=0.159500, batch loss=0.178994, epoch loss=0.544321 Batch=239, step=9840, lr=0.159250, batch loss=0.264061, epoch loss=0.808382 Batch=299, step=9900, lr=0.159000, batch loss=0.179707, epoch loss=0.988089 Batch=359, step=9960, lr=0.158750, batch loss=0.233795, epoch loss=1.221884 Batch=419, step=10020, lr=0.158500, batch loss=0.231845, epoch loss=1.453729 Batch=479, step=10080, lr=0.158250, batch loss=0.215108, epoch loss=1.668837 Batch=539, step=10140, lr=0.157750, batch loss=0.168766, epoch loss=1.837603 Batch=599, step=10200, lr=0.157750, batch loss=0.203222, epoch loss=2.040825 Batch=659, step=10260, lr=0.157500, batch loss=0.281257, epoch loss=2.322083 Batch=719, step=10320, lr=0.157250, batch loss=0.280052, epoch loss=2.602134 Batch=779, step=10380, lr=0.157000, batch loss=0.298451, epoch loss=2.900586 Batch=839, step=10440, lr=0.156500, batch loss=0.272614, epoch loss=3.173200 Batch=899, step=10500, lr=0.156250, batch loss=0.238268, epoch loss=3.411468 Batch=959, step=10560, lr=0.156250, batch loss=0.201178, epoch loss=3.612646 Batch=1019, step=10620, lr=0.156000, batch loss=0.279790, epoch loss=3.892436 Batch=1079, step=10680, lr=0.155750, batch loss=0.151980, epoch loss=4.044416 Batch=1139, step=10740, lr=0.155250, batch loss=0.183545, epoch loss=4.227961 Batch=1199, step=10800, lr=0.155250, batch loss=0.154833, epoch loss=4.382794 Epoch=8, step=10800, lr=0.155250, epoch loss=4.382794 Batch=59, step=10860, lr=0.155000, batch loss=0.182438, epoch loss=0.182438 Batch=119, step=10920, lr=0.154750, batch loss=0.157014, epoch loss=0.339452 Batch=179, step=10980, lr=0.154500, batch loss=0.166767, epoch loss=0.506218 Batch=239, step=11040, lr=0.154250, batch loss=0.246468, epoch loss=0.752686 Batch=299, step=11100, lr=0.153750, batch loss=0.162436, epoch loss=0.915122 Batch=359, step=11160, lr=0.153750, batch loss=0.229363, epoch loss=1.144486 Batch=419, step=11220, lr=0.153500, batch loss=0.233064, epoch loss=1.377550 Batch=479, step=11280, lr=0.153250, batch loss=0.200232, epoch loss=1.577781 Batch=539, step=11340, lr=0.153000, batch loss=0.157432, epoch loss=1.735213 Batch=599, step=11400, lr=0.152750, batch loss=0.182869, epoch loss=1.918083 Batch=659, step=11460, lr=0.152500, batch loss=0.262310, epoch loss=2.180392 Batch=719, step=11520, lr=0.152250, batch loss=0.258276, epoch loss=2.438668 Batch=779, step=11580, lr=0.151750, batch loss=0.268883, epoch loss=2.707552 Batch=839, step=11640, lr=0.151500, batch loss=0.252041, epoch loss=2.959593 Batch=899, step=11700, lr=0.151250, batch loss=0.216502, epoch loss=3.176095 Batch=959, step=11760, lr=0.151250, batch loss=0.164553, epoch loss=3.340647 Batch=1019, step=11820, lr=0.150750, batch loss=0.275484, epoch loss=3.616131 Batch=1079, step=11880, lr=0.150750, batch loss=0.151057, epoch loss=3.767188 Batch=1139, step=11940, lr=0.150250, batch loss=0.188524, epoch loss=3.955713 Batch=1199, step=12000, lr=0.150250, batch loss=0.140165, epoch loss=4.095878 Epoch=9, step=12000, lr=0.150250, epoch loss=4.095878 Batch=59, step=12060, lr=0.149750, batch loss=0.158193, epoch loss=0.158193 Batch=119, step=12120, lr=0.149750, batch loss=0.127761, epoch loss=0.285954 Batch=179, step=12180, lr=0.149500, batch loss=0.151760, epoch loss=0.437714 Batch=239, step=12240, lr=0.149250, batch loss=0.223448, epoch loss=0.661163 Batch=299, step=12300, lr=0.149000, batch loss=0.145881, epoch loss=0.807043 Batch=359, step=12360, lr=0.148750, batch loss=0.197178, epoch loss=1.004221 Batch=419, step=12420, lr=0.148500, batch loss=0.217175, epoch loss=1.221395 Batch=479, step=12480, lr=0.148000, batch loss=0.173829, epoch loss=1.395224 Batch=539, step=12540, lr=0.148000, batch loss=0.148382, epoch loss=1.543606 Batch=599, step=12600, lr=0.147750, batch loss=0.155059, epoch loss=1.698666 Batch=659, step=12660, lr=0.147500, batch loss=0.235382, epoch loss=1.934047 Batch=719, step=12720, lr=0.147250, batch loss=0.236762, epoch loss=2.170809 Batch=779, step=12780, lr=0.147000, batch loss=0.261434, epoch loss=2.432244 Batch=839, step=12840, lr=0.146750, batch loss=0.232325, epoch loss=2.664569 Batch=899, step=12900, lr=0.146500, batch loss=0.201207, epoch loss=2.865776 Batch=959, step=12960, lr=0.146250, batch loss=0.150049, epoch loss=3.015825 Batch=1019, step=13020, lr=0.146000, batch loss=0.253788, epoch loss=3.269613 Batch=1079, step=13080, lr=0.145750, batch loss=0.123579, epoch loss=3.393193 Batch=1139, step=13140, lr=0.145500, batch loss=0.157886, epoch loss=3.551079 Batch=1199, step=13200, lr=0.145250, batch loss=0.120079, epoch loss=3.671158 Epoch=10, step=13200, lr=0.145250, epoch loss=3.671158 Batch=59, step=13260, lr=0.144750, batch loss=0.143386, epoch loss=0.143386 Batch=119, step=13320, lr=0.144750, batch loss=0.120425, epoch loss=0.263811 Batch=179, step=13380, lr=0.144500, batch loss=0.129727, epoch loss=0.393538 Batch=239, step=13440, lr=0.144250, batch loss=0.190447, epoch loss=0.583985 Batch=299, step=13500, lr=0.144000, batch loss=0.115969, epoch loss=0.699954 Batch=359, step=13560, lr=0.143750, batch loss=0.161621, epoch loss=0.861574 Batch=419, step=13620, lr=0.143500, batch loss=0.162588, epoch loss=1.024163 Batch=479, step=13680, lr=0.143250, batch loss=0.146175, epoch loss=1.170338 Batch=539, step=13740, lr=0.143000, batch loss=0.119683, epoch loss=1.290021 Batch=599, step=13800, lr=0.142750, batch loss=0.121312, epoch loss=1.411333 Batch=659, step=13860, lr=0.142500, batch loss=0.177434, epoch loss=1.588766 Batch=719, step=13920, lr=0.142000, batch loss=0.179263, epoch loss=1.768029 Batch=779, step=13980, lr=0.142000, batch loss=0.199103, epoch loss=1.967132 Batch=839, step=14040, lr=0.141750, batch loss=0.188549, epoch loss=2.155681 Batch=899, step=14100, lr=0.141500, batch loss=0.159302, epoch loss=2.314983 Batch=959, step=14160, lr=0.141000, batch loss=0.135252, epoch loss=2.450235 Batch=1019, step=14220, lr=0.141000, batch loss=0.292750, epoch loss=2.742986 Batch=1079, step=14280, lr=0.140750, batch loss=0.085298, epoch loss=2.828284 Batch=1139, step=14340, lr=0.140500, batch loss=0.134563, epoch loss=2.962847 Batch=1199, step=14400, lr=0.140250, batch loss=0.092551, epoch loss=3.055397 Epoch=11, step=14400, lr=0.140250, epoch loss=3.055397 Batch=59, step=14460, lr=0.139750, batch loss=0.110865, epoch loss=0.110865 Batch=119, step=14520, lr=0.139750, batch loss=0.103444, epoch loss=0.214310 Batch=179, step=14580, lr=0.139500, batch loss=0.105911, epoch loss=0.320220 Batch=239, step=14640, lr=0.139250, batch loss=0.140477, epoch loss=0.460698 Batch=299, step=14700, lr=0.138750, batch loss=0.083951, epoch loss=0.544648 Batch=359, step=14760, lr=0.138500, batch loss=0.120731, epoch loss=0.665379 Batch=419, step=14820, lr=0.138500, batch loss=0.123367, epoch loss=0.788746 Batch=479, step=14880, lr=0.138000, batch loss=0.109946, epoch loss=0.898692 Batch=539, step=14940, lr=0.138000, batch loss=0.115470, epoch loss=1.014162 Batch=599, step=15000, lr=0.137750, batch loss=0.089160, epoch loss=1.103322 Batch=659, step=15060, lr=0.137500, batch loss=0.128427, epoch loss=1.231749 Batch=719, step=15120, lr=0.137000, batch loss=0.134726, epoch loss=1.366475 Batch=779, step=15180, lr=0.136750, batch loss=0.177150, epoch loss=1.543625 Batch=839, step=15240, lr=0.136750, batch loss=0.164471, epoch loss=1.708096 Batch=899, step=15300, lr=0.136250, batch loss=0.273130, epoch loss=1.981225 Batch=959, step=15360, lr=0.136000, batch loss=0.058114, epoch loss=2.039339 Batch=1019, step=15420, lr=0.136000, batch loss=0.137091, epoch loss=2.176429 Batch=1079, step=15480, lr=0.135750, batch loss=0.044706, epoch loss=2.221135 Batch=1139, step=15540, lr=0.135500, batch loss=0.101909, epoch loss=2.323044 Batch=1199, step=15600, lr=0.135000, batch loss=0.062277, epoch loss=2.385321 Epoch=12, step=15600, lr=0.135000, epoch loss=2.385321 Batch=59, step=15660, lr=0.135000, batch loss=0.084779, epoch loss=0.084779 Batch=119, step=15720, lr=0.134750, batch loss=0.125063, epoch loss=0.209842 Batch=179, step=15780, lr=0.134500, batch loss=0.097423, epoch loss=0.307265 Batch=239, step=15840, lr=0.134000, batch loss=0.099833, epoch loss=0.407099 Batch=299, step=15900, lr=0.134000, batch loss=0.040051, epoch loss=0.447150 Batch=359, step=15960, lr=0.133750, batch loss=0.086782, epoch loss=0.533931 Batch=419, step=16020, lr=0.133250, batch loss=0.080336, epoch loss=0.614268 Batch=479, step=16080, lr=0.133250, batch loss=0.057895, epoch loss=0.672163 Batch=539, step=16140, lr=0.132750, batch loss=0.072402, epoch loss=0.744564 Batch=599, step=16200, lr=0.132500, batch loss=0.165586, epoch loss=0.910150 Batch=659, step=16260, lr=0.132500, batch loss=0.100431, epoch loss=1.010581 Batch=719, step=16320, lr=0.132250, batch loss=0.127097, epoch loss=1.137677 Batch=779, step=16380, lr=0.132000, batch loss=0.252821, epoch loss=1.390499 Batch=839, step=16440, lr=0.131500, batch loss=0.090942, epoch loss=1.481440 Batch=899, step=16500, lr=0.131500, batch loss=0.075061, epoch loss=1.556501 Batch=959, step=16560, lr=0.131250, batch loss=0.039724, epoch loss=1.596225 Batch=1019, step=16620, lr=0.131000, batch loss=0.094779, epoch loss=1.691005 Batch=1079, step=16680, lr=0.130500, batch loss=0.026615, epoch loss=1.717620 Batch=1139, step=16740, lr=0.130250, batch loss=0.056966, epoch loss=1.774586 Batch=1199, step=16800, lr=0.130250, batch loss=0.030446, epoch loss=1.805032 Epoch=13, step=16800, lr=0.130250, epoch loss=1.805032 Batch=59, step=16860, lr=0.129750, batch loss=0.040661, epoch loss=0.040661 Batch=119, step=16920, lr=0.129750, batch loss=0.053813, epoch loss=0.094474 Batch=179, step=16980, lr=0.129500, batch loss=0.052451, epoch loss=0.146925 Batch=239, step=17040, lr=0.129250, batch loss=0.068524, epoch loss=0.215449 Batch=299, step=17100, lr=0.129000, batch loss=0.034317, epoch loss=0.249767 Batch=359, step=17160, lr=0.128500, batch loss=0.054700, epoch loss=0.304467 Batch=419, step=17220, lr=0.128500, batch loss=0.099635, epoch loss=0.404102 Batch=479, step=17280, lr=0.128250, batch loss=0.025921, epoch loss=0.430023 Batch=539, step=17340, lr=0.127750, batch loss=0.034731, epoch loss=0.464754 Batch=599, step=17400, lr=0.127500, batch loss=0.052631, epoch loss=0.517385 Batch=659, step=17460, lr=0.127250, batch loss=0.047718, epoch loss=0.565103 Batch=719, step=17520, lr=0.127000, batch loss=0.042322, epoch loss=0.607424 Batch=779, step=17580, lr=0.126750, batch loss=0.084528, epoch loss=0.691952 Batch=839, step=17640, lr=0.126750, batch loss=0.158371, epoch loss=0.850323 Batch=899, step=17700, lr=0.126500, batch loss=0.056778, epoch loss=0.907102 Batch=959, step=17760, lr=0.126250, batch loss=0.018548, epoch loss=0.925650 Batch=1019, step=17820, lr=0.125750, batch loss=0.035433, epoch loss=0.961083 Batch=1079, step=17880, lr=0.125750, batch loss=0.014454, epoch loss=0.975536 Batch=1139, step=17940, lr=0.125500, batch loss=0.037039, epoch loss=1.012575 Batch=1199, step=18000, lr=0.125250, batch loss=0.016895, epoch loss=1.029470 Epoch=14, step=18000, lr=0.125250, epoch loss=1.029470 Batch=59, step=18060, lr=0.125000, batch loss=0.014791, epoch loss=0.014791 Batch=119, step=18120, lr=0.124500, batch loss=0.024228, epoch loss=0.039019 Batch=179, step=18180, lr=0.124500, batch loss=0.029370, epoch loss=0.068389 Batch=239, step=18240, lr=0.124250, batch loss=0.034705, epoch loss=0.103093 Batch=299, step=18300, lr=0.123750, batch loss=0.009073, epoch loss=0.112166 Batch=359, step=18360, lr=0.123750, batch loss=0.026025, epoch loss=0.138191 Batch=419, step=18420, lr=0.123250, batch loss=0.030439, epoch loss=0.168630 Batch=479, step=18480, lr=0.123250, batch loss=0.017653, epoch loss=0.186283 Batch=539, step=18540, lr=0.123000, batch loss=0.022073, epoch loss=0.208356 Batch=599, step=18600, lr=0.122500, batch loss=0.028832, epoch loss=0.237188 Batch=659, step=18660, lr=0.122500, batch loss=0.027867, epoch loss=0.265054 Batch=719, step=18720, lr=0.122250, batch loss=0.027544, epoch loss=0.292599 Batch=779, step=18780, lr=0.122000, batch loss=0.071737, epoch loss=0.364336 Batch=839, step=18840, lr=0.121750, batch loss=0.152547, epoch loss=0.516883 Batch=899, step=18900, lr=0.121250, batch loss=0.037238, epoch loss=0.554121 Batch=959, step=18960, lr=0.121000, batch loss=0.015086, epoch loss=0.569207 Batch=1019, step=19020, lr=0.120750, batch loss=0.024338, epoch loss=0.593544 Batch=1079, step=19080, lr=0.120750, batch loss=0.009455, epoch loss=0.602999 Batch=1139, step=19140, lr=0.120500, batch loss=0.023812, epoch loss=0.626811 Batch=1199, step=19200, lr=0.120000, batch loss=0.010965, epoch loss=0.637775 Epoch=15, step=19200, lr=0.120000, epoch loss=0.637775 Batch=59, step=19260, lr=0.120000, batch loss=0.005195, epoch loss=0.005195 Batch=119, step=19320, lr=0.119750, batch loss=0.016662, epoch loss=0.021857 Batch=179, step=19380, lr=0.119250, batch loss=0.041855, epoch loss=0.063712 Batch=239, step=19440, lr=0.119250, batch loss=0.022305, epoch loss=0.086017 Batch=299, step=19500, lr=0.118750, batch loss=0.004895, epoch loss=0.090912 Batch=359, step=19560, lr=0.118750, batch loss=0.016481, epoch loss=0.107393 Batch=419, step=19620, lr=0.118500, batch loss=0.020125, epoch loss=0.127518 Batch=479, step=19680, lr=0.118000, batch loss=0.007336, epoch loss=0.134853 Batch=539, step=19740, lr=0.118000, batch loss=0.016292, epoch loss=0.151145 Batch=599, step=19800, lr=0.117750, batch loss=0.021414, epoch loss=0.172559 Batch=659, step=19860, lr=0.117500, batch loss=0.018545, epoch loss=0.191104 Batch=719, step=19920, lr=0.117250, batch loss=0.053012, epoch loss=0.244117 Batch=779, step=19980, lr=0.117000, batch loss=0.076206, epoch loss=0.320323 Batch=839, step=20040, lr=0.116750, batch loss=0.031939, epoch loss=0.352262 Batch=899, step=20100, lr=0.116500, batch loss=0.029436, epoch loss=0.381698 Batch=959, step=20160, lr=0.116250, batch loss=0.014029, epoch loss=0.395727 Batch=1019, step=20220, lr=0.116000, batch loss=0.023102, epoch loss=0.418829 Batch=1079, step=20280, lr=0.115750, batch loss=0.003787, epoch loss=0.422616 Batch=1139, step=20340, lr=0.115500, batch loss=0.016664, epoch loss=0.439281 Batch=1199, step=20400, lr=0.115250, batch loss=0.006688, epoch loss=0.445968 Epoch=16, step=20400, lr=0.115250, epoch loss=0.445968 Batch=59, step=20460, lr=0.115000, batch loss=0.003140, epoch loss=0.003140 Batch=119, step=20520, lr=0.114750, batch loss=0.009994, epoch loss=0.013133 Batch=179, step=20580, lr=0.114500, batch loss=0.026849, epoch loss=0.039982 Batch=239, step=20640, lr=0.114000, batch loss=0.014325, epoch loss=0.054307 Batch=299, step=20700, lr=0.114000, batch loss=0.003283, epoch loss=0.057589 Batch=359, step=20760, lr=0.113500, batch loss=0.013235, epoch loss=0.070824 Batch=419, step=20820, lr=0.113500, batch loss=0.017129, epoch loss=0.087954 Batch=479, step=20880, lr=0.113000, batch loss=0.005436, epoch loss=0.093390 Batch=539, step=20940, lr=0.113000, batch loss=0.016023, epoch loss=0.109413 Batch=599, step=21000, lr=0.112750, batch loss=0.018827, epoch loss=0.128240 Batch=659, step=21060, lr=0.112500, batch loss=0.014403, epoch loss=0.142642 Batch=719, step=21120, lr=0.112000, batch loss=0.039724, epoch loss=0.182366 Batch=779, step=21180, lr=0.112000, batch loss=0.065654, epoch loss=0.248021 Batch=839, step=21240, lr=0.111500, batch loss=0.025169, epoch loss=0.273190 Batch=899, step=21300, lr=0.111250, batch loss=0.029165, epoch loss=0.302354 Batch=959, step=21360, lr=0.111000, batch loss=0.010286, epoch loss=0.312640 Batch=1019, step=21420, lr=0.110750, batch loss=0.010689, epoch loss=0.323329 Batch=1079, step=21480, lr=0.110750, batch loss=0.001619, epoch loss=0.324948 Batch=1139, step=21540, lr=0.110500, batch loss=0.012873, epoch loss=0.337821 Batch=1199, step=21600, lr=0.110250, batch loss=0.005060, epoch loss=0.342882 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342882 Batch=59, step=21660, lr=0.109750, batch loss=0.002092, epoch loss=0.002092 Batch=119, step=21720, lr=0.109500, batch loss=0.006926, epoch loss=0.009017 Batch=179, step=21780, lr=0.109500, batch loss=0.013230, epoch loss=0.022247 Batch=239, step=21840, lr=0.109000, batch loss=0.010225, epoch loss=0.032473 Batch=299, step=21900, lr=0.108750, batch loss=0.013316, epoch loss=0.045788 Batch=359, step=21960, lr=0.108750, batch loss=0.012846, epoch loss=0.058634 Batch=419, step=22020, lr=0.108500, batch loss=0.012577, epoch loss=0.071212 Batch=479, step=22080, lr=0.108000, batch loss=0.002992, epoch loss=0.074204 Batch=539, step=22140, lr=0.107750, batch loss=0.017309, epoch loss=0.091512 Batch=599, step=22200, lr=0.107500, batch loss=0.016693, epoch loss=0.108205 Batch=659, step=22260, lr=0.107500, batch loss=0.016470, epoch loss=0.124676 Batch=719, step=22320, lr=0.107000, batch loss=0.022722, epoch loss=0.147398 Batch=779, step=22380, lr=0.107000, batch loss=0.029970, epoch loss=0.177368 Batch=839, step=22440, lr=0.106750, batch loss=0.029963, epoch loss=0.207331 Batch=899, step=22500, lr=0.106500, batch loss=0.023792, epoch loss=0.231122 Batch=959, step=22560, lr=0.106250, batch loss=0.008812, epoch loss=0.239934 Batch=1019, step=22620, lr=0.105750, batch loss=0.007618, epoch loss=0.247553 Batch=1079, step=22680, lr=0.105750, batch loss=0.002033, epoch loss=0.249586 Batch=1139, step=22740, lr=0.105250, batch loss=0.011467, epoch loss=0.261053 Batch=1199, step=22800, lr=0.105250, batch loss=0.005177, epoch loss=0.266231 Epoch=18, step=22800, lr=0.105250, epoch loss=0.266231 Batch=59, step=22860, lr=0.105000, batch loss=0.002274, epoch loss=0.002274 Batch=119, step=22920, lr=0.104750, batch loss=0.005129, epoch loss=0.007403 Batch=179, step=22980, lr=0.104250, batch loss=0.012090, epoch loss=0.019493 Batch=239, step=23040, lr=0.104250, batch loss=0.009098, epoch loss=0.028591 Batch=299, step=23100, lr=0.104000, batch loss=0.001276, epoch loss=0.029866 Batch=359, step=23160, lr=0.103750, batch loss=0.012045, epoch loss=0.041911 Batch=419, step=23220, lr=0.103250, batch loss=0.010474, epoch loss=0.052386 Batch=479, step=23280, lr=0.103000, batch loss=0.003655, epoch loss=0.056041 Batch=539, step=23340, lr=0.103000, batch loss=0.015668, epoch loss=0.071709 Batch=599, step=23400, lr=0.102750, batch loss=0.013775, epoch loss=0.085484 Batch=659, step=23460, lr=0.102250, batch loss=0.011724, epoch loss=0.097207 Batch=719, step=23520, lr=0.102250, batch loss=0.020523, epoch loss=0.117731 Batch=779, step=23580, lr=0.102000, batch loss=0.026432, epoch loss=0.144163 Batch=839, step=23640, lr=0.101750, batch loss=0.026048, epoch loss=0.170211 Batch=899, step=23700, lr=0.101500, batch loss=0.021842, epoch loss=0.192053 Batch=959, step=23760, lr=0.101000, batch loss=0.008432, epoch loss=0.200485 Batch=1019, step=23820, lr=0.101000, batch loss=0.008655, epoch loss=0.209140 Batch=1079, step=23880, lr=0.100750, batch loss=0.000649, epoch loss=0.209789 Batch=1139, step=23940, lr=0.100250, batch loss=0.009590, epoch loss=0.219379 Batch=1199, step=24000, lr=0.100000, batch loss=0.004220, epoch loss=0.223599 Epoch=19, step=24000, lr=0.100000, epoch loss=0.223599 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-06-18 07:48.57: Job failed: Failed: Build failed