2025-05-30 12:20.44: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (032faccf8dc533dfc393bed0a591a35ed988bb71) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 032faccf cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 # 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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && 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.v0.17.2 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.3.19.0 dune-configurator.3.19.0 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.1.5-1 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 2025-05-30 12:20.44: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-05-30 12:20.44: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) (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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && 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.v0.17.2 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.3.19.0 dune-configurator.3.19.0 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.1.5-1 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")) ) 2025-05-30 12:20.44: Waiting for resource in pool OCluster 2025-05-30 12:20.45: Waiting for worker… 2025-05-30 12:41.02: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 032faccf Untested / broken: Claude's first pass at adding BF16, FP8, uint16, int32 (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-30 12:50.34 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" /: (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")) 2025-05-30 12:50.35 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" /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 2025-05-30 12:51.36 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-30 12:51.36 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-30 12:51.37 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..edaf2946e3 master -> origin/master 0eea63ad71 Merge pull request #27946 from mtelvers/opam-publish-ocaml-version.4.0.1 <><> 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) 2025-05-30 12:52.29 ---> saved as "02ed1c2d051010aa0c31d551da494e471770ec384c77469ac89afe168e349014" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-30 12:52.30 ---> saved as "112046a1ab79a24194105a560cb436318d70dd64853f391bb3188e0055c3dc49" /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) 2025-05-30 12:52.39 ---> saved as "94cce9807b8434fed179d2a3853ba5d6a0eaf7f52a5f13bc505a24faf86ecfe2" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-30 12:52.39 ---> saved as "36ecd108dbf3aaf94bb675d71028241a02dbdf51b6c39dc46aedbab2fe127d0c" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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.3.19.0 dune-configurator.3.19.0 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.1.5-1 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 - v3.21.3-557-g20e29620c5c [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-556-gce9fa26a0e9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v3.22.0_rc4-23-ge0ce6c16a4c [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v3.22.0_rc4-21-g9a1fe01c406 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v3.22.0_rc4-17-gdd16cfe5de0 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58477 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 2025-05-30 12:53.16 ---> saved as "1359ba2b7d949830410f0e1546e1e2f4056510f0a0127138b6ad9a40764a3064" /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 v0.17.2 - 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 3.19.0 - install dune-configurator 3.19.0 - 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 1.5-1 - 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 base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (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 jane-street-headers.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved num.1.5-1 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (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_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (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 ppxlib_jane.v0.17.2 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed result.1.5 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> 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 printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> 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.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> 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) 2025-05-30 12:56.29 ---> saved as "7b31fa2b196e0a0a44467b826a04e4a85140da82e3936f8a07864ab61712c792" /src: (copy (src .) (dst /src)) 2025-05-30 12:56.32 ---> saved as "e4aae0be44e9c5ea0d5d1b65fab28a8577416e19fe6a05383667208d460df595" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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 (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/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2396d41fb3442e6792875a467fb5aff9/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/74e40839909f943631d85624e923271a/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/74e40839909f943631d85624e923271a/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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198500, batch loss=1.329270, epoch loss=38.401074 Batch=419, step=420, lr=0.198500, batch loss=0.618399, epoch loss=39.019473 Batch=479, step=480, lr=0.198000, batch loss=0.823297, epoch loss=39.842770 Batch=539, step=540, lr=0.198000, batch loss=0.688225, epoch loss=40.530996 Batch=599, step=600, lr=0.197750, batch loss=1.067224, epoch loss=41.598220 Batch=659, step=660, lr=0.197250, batch loss=0.483058, epoch loss=42.081277 Batch=719, step=720, lr=0.197000, batch loss=0.411375, epoch loss=42.492652 Batch=779, step=780, lr=0.196750, batch loss=0.468958, epoch loss=42.961610 Batch=839, step=840, lr=0.196750, batch loss=0.443292, epoch loss=43.404902 Batch=899, step=900, lr=0.196500, batch loss=0.383841, epoch loss=43.788743 Batch=959, step=960, lr=0.196000, batch loss=0.237467, epoch loss=44.026210 Batch=1019, step=1020, lr=0.195750, batch loss=0.440131, epoch loss=44.466341 Batch=1079, step=1080, lr=0.195750, batch loss=0.229685, epoch loss=44.696026 Batch=1139, step=1140, lr=0.195500, batch loss=0.315092, epoch loss=45.011118 Batch=1199, step=1200, lr=0.195250, batch loss=0.263415, epoch loss=45.274532 Epoch=0, step=1200, lr=0.195250, epoch loss=45.274532 Batch=59, step=1260, lr=0.195000, batch loss=0.262529, epoch loss=0.262529 Batch=119, step=1320, lr=0.194750, batch loss=0.210942, epoch loss=0.473471 Batch=179, step=1380, lr=0.194500, batch loss=0.244839, epoch loss=0.718310 Batch=239, step=1440, lr=0.194000, batch loss=0.352781, epoch loss=1.071091 Batch=299, step=1500, lr=0.193750, batch loss=0.238771, epoch loss=1.309862 Batch=359, step=1560, lr=0.193750, batch loss=0.312106, epoch loss=1.621968 Batch=419, step=1620, lr=0.193500, batch loss=0.309050, epoch loss=1.931018 Batch=479, step=1680, lr=0.193000, batch loss=0.276110, epoch loss=2.207128 Batch=539, step=1740, lr=0.193000, batch loss=0.211224, epoch loss=2.418353 Batch=599, step=1800, lr=0.192750, batch loss=0.254234, epoch loss=2.672587 Batch=659, step=1860, lr=0.192500, batch loss=0.373607, epoch loss=3.046194 Batch=719, step=1920, lr=0.192250, batch loss=0.360240, epoch loss=3.406433 Batch=779, step=1980, lr=0.192000, batch loss=0.385135, epoch loss=3.791568 Batch=839, step=2040, lr=0.191750, batch loss=0.348884, epoch loss=4.140453 Batch=899, step=2100, lr=0.191500, batch loss=0.324869, epoch loss=4.465322 Batch=959, step=2160, lr=0.191000, batch loss=0.255317, epoch loss=4.720639 Batch=1019, step=2220, lr=0.191000, batch loss=0.393525, epoch loss=5.114164 Batch=1079, step=2280, lr=0.190500, batch loss=0.237339, epoch loss=5.351502 Batch=1139, step=2340, lr=0.190500, batch loss=0.278851, epoch loss=5.630353 Batch=1199, step=2400, lr=0.190250, batch loss=0.215402, epoch loss=5.845755 Epoch=1, step=2400, lr=0.190250, epoch loss=5.845755 Batch=59, step=2460, lr=0.190000, batch loss=0.230980, epoch loss=0.230980 Batch=119, step=2520, lr=0.189750, batch loss=0.191872, epoch loss=0.422851 Batch=179, step=2580, lr=0.189500, batch loss=0.221981, epoch loss=0.644832 Batch=239, step=2640, lr=0.189250, batch loss=0.336931, epoch loss=0.981763 Batch=299, step=2700, lr=0.189000, batch loss=0.212928, epoch loss=1.194691 Batch=359, step=2760, lr=0.188750, batch loss=0.295223, epoch loss=1.489914 Batch=419, step=2820, lr=0.188250, batch loss=0.282247, epoch loss=1.772161 Batch=479, step=2880, lr=0.188250, batch loss=0.258371, epoch loss=2.030532 Batch=539, step=2940, lr=0.188000, batch loss=0.200048, epoch loss=2.230580 Batch=599, step=3000, lr=0.187750, batch loss=0.245439, epoch loss=2.476018 Batch=659, step=3060, lr=0.187500, batch loss=0.346691, epoch loss=2.822709 Batch=719, step=3120, lr=0.187250, batch loss=0.341820, epoch loss=3.164529 Batch=779, step=3180, lr=0.187000, batch loss=0.368613, epoch loss=3.533142 Batch=839, step=3240, lr=0.186750, batch loss=0.323366, epoch loss=3.856509 Batch=899, step=3300, lr=0.186500, batch loss=0.280403, epoch loss=4.136911 Batch=959, step=3360, lr=0.186250, batch loss=0.209471, epoch loss=4.346382 Batch=1019, step=3420, lr=0.186000, batch loss=0.314163, epoch loss=4.660546 Batch=1079, step=3480, lr=0.185750, batch loss=0.189094, epoch loss=4.849640 Batch=1139, step=3540, lr=0.185500, batch loss=0.231438, epoch loss=5.081078 Batch=1199, step=3600, lr=0.185250, batch loss=0.198507, epoch loss=5.279585 Epoch=2, step=3600, lr=0.185250, epoch loss=5.279585 Batch=59, step=3660, lr=0.185000, batch loss=0.238638, epoch loss=0.238638 Batch=119, step=3720, lr=0.184750, batch loss=0.203841, epoch loss=0.442480 Batch=179, step=3780, lr=0.184500, batch loss=0.212062, epoch loss=0.654542 Batch=239, step=3840, lr=0.184250, batch loss=0.316815, epoch loss=0.971357 Batch=299, step=3900, lr=0.184000, batch loss=0.203746, epoch loss=1.175103 Batch=359, step=3960, lr=0.183750, batch loss=0.282624, epoch loss=1.457728 Batch=419, step=4020, lr=0.183500, batch loss=0.272237, epoch loss=1.729964 Batch=479, step=4080, lr=0.183250, batch loss=0.248654, epoch loss=1.978618 Batch=539, step=4140, lr=0.183000, batch loss=0.195156, epoch loss=2.173774 Batch=599, step=4200, lr=0.182750, batch loss=0.232221, epoch loss=2.405995 Batch=659, step=4260, lr=0.182500, batch loss=0.335372, epoch loss=2.741366 Batch=719, step=4320, lr=0.182250, batch loss=0.342201, epoch loss=3.083567 Batch=779, step=4380, lr=0.182000, batch loss=0.351316, epoch loss=3.434884 Batch=839, step=4440, lr=0.181750, batch loss=0.318616, epoch loss=3.753500 Batch=899, step=4500, lr=0.181500, batch loss=0.291899, epoch loss=4.045398 Batch=959, step=4560, lr=0.181250, batch loss=0.241667, epoch loss=4.287065 Batch=1019, step=4620, lr=0.181000, batch loss=0.346588, epoch loss=4.633652 Batch=1079, step=4680, lr=0.180750, batch loss=0.213330, epoch loss=4.846982 Batch=1139, step=4740, lr=0.180500, batch loss=0.250998, epoch loss=5.097980 Batch=1199, step=4800, lr=0.180250, batch loss=0.191884, epoch loss=5.289864 Epoch=3, step=4800, lr=0.180250, epoch loss=5.289864 Batch=59, step=4860, lr=0.180000, batch loss=0.226324, epoch loss=0.226324 Batch=119, step=4920, lr=0.179750, batch loss=0.190971, epoch loss=0.417295 Batch=179, step=4980, lr=0.179500, batch loss=0.206775, epoch loss=0.624070 Batch=239, step=5040, lr=0.179250, batch loss=0.306870, epoch loss=0.930940 Batch=299, step=5100, lr=0.179000, batch loss=0.203426, epoch loss=1.134365 Batch=359, step=5160, lr=0.178750, batch loss=0.272878, epoch loss=1.407243 Batch=419, step=5220, lr=0.178500, batch loss=0.265220, epoch loss=1.672463 Batch=479, step=5280, lr=0.178250, batch loss=0.242805, epoch loss=1.915268 Batch=539, step=5340, lr=0.178000, batch loss=0.193969, epoch loss=2.109237 Batch=599, step=5400, lr=0.177750, batch loss=0.234018, epoch loss=2.343254 Batch=659, step=5460, lr=0.177500, batch loss=0.322918, epoch loss=2.666172 Batch=719, step=5520, lr=0.177250, batch loss=0.323550, epoch loss=2.989722 Batch=779, step=5580, lr=0.177000, batch loss=0.341747, epoch loss=3.331470 Batch=839, step=5640, lr=0.176750, batch loss=0.312065, epoch loss=3.643534 Batch=899, step=5700, lr=0.176500, batch loss=0.271054, epoch loss=3.914588 Batch=959, step=5760, lr=0.176000, batch loss=0.219092, epoch loss=4.133680 Batch=1019, step=5820, lr=0.176000, batch loss=0.331479, epoch loss=4.465159 Batch=1079, step=5880, lr=0.175750, batch loss=0.179714, epoch loss=4.644873 Batch=1139, step=5940, lr=0.175250, batch loss=0.218290, epoch loss=4.863163 Batch=1199, step=6000, lr=0.175250, batch loss=0.199762, epoch loss=5.062925 Epoch=4, step=6000, lr=0.175250, epoch loss=5.062925 Batch=59, step=6060, lr=0.174750, batch loss=0.243392, epoch loss=0.243392 Batch=119, step=6120, lr=0.174750, batch loss=0.188209, epoch loss=0.431601 Batch=179, step=6180, lr=0.174500, batch loss=0.201134, epoch loss=0.632735 Batch=239, step=6240, lr=0.174250, batch loss=0.300550, epoch loss=0.933285 Batch=299, step=6300, lr=0.174000, batch loss=0.206435, epoch loss=1.139720 Batch=359, step=6360, lr=0.173750, batch loss=0.267849, epoch loss=1.407569 Batch=419, step=6420, lr=0.173500, batch loss=0.266831, epoch loss=1.674400 Batch=479, step=6480, lr=0.173250, batch loss=0.243111, epoch loss=1.917511 Batch=539, step=6540, lr=0.173000, batch loss=0.194870, epoch loss=2.112381 Batch=599, step=6600, lr=0.172750, batch loss=0.234088, epoch loss=2.346469 Batch=659, step=6660, lr=0.172500, batch loss=0.313170, epoch loss=2.659639 Batch=719, step=6720, lr=0.172000, batch loss=0.317911, epoch loss=2.977550 Batch=779, step=6780, lr=0.172000, batch loss=0.330011, epoch loss=3.307560 Batch=839, step=6840, lr=0.171500, batch loss=0.301110, epoch loss=3.608670 Batch=899, step=6900, lr=0.171500, batch loss=0.271276, epoch loss=3.879947 Batch=959, step=6960, lr=0.171250, batch loss=0.204787, epoch loss=4.084733 Batch=1019, step=7020, lr=0.171000, batch loss=0.329410, epoch loss=4.414143 Batch=1079, step=7080, lr=0.170750, batch loss=0.181996, epoch loss=4.596139 Batch=1139, step=7140, lr=0.170500, batch loss=0.216662, epoch loss=4.812801 Batch=1199, step=7200, lr=0.170250, batch loss=0.183152, epoch loss=4.995953 Epoch=5, step=7200, lr=0.170250, epoch loss=4.995953 Batch=59, step=7260, lr=0.170000, batch loss=0.234948, epoch loss=0.234948 Batch=119, step=7320, lr=0.169750, batch loss=0.183029, epoch loss=0.417977 Batch=179, step=7380, lr=0.169500, batch loss=0.196387, epoch loss=0.614364 Batch=239, step=7440, lr=0.169250, batch loss=0.295271, epoch loss=0.909635 Batch=299, step=7500, lr=0.169000, batch loss=0.203668, epoch loss=1.113303 Batch=359, step=7560, lr=0.168750, batch loss=0.257444, epoch loss=1.370748 Batch=419, step=7620, lr=0.168500, batch loss=0.252122, epoch loss=1.622870 Batch=479, step=7680, lr=0.168250, batch loss=0.228412, epoch loss=1.851282 Batch=539, step=7740, lr=0.168000, batch loss=0.184984, epoch loss=2.036266 Batch=599, step=7800, lr=0.167750, batch loss=0.226601, epoch loss=2.262867 Batch=659, step=7860, lr=0.167500, batch loss=0.305587, epoch loss=2.568455 Batch=719, step=7920, lr=0.167250, batch loss=0.308925, epoch loss=2.877380 Batch=779, step=7980, lr=0.167000, batch loss=0.321889, epoch loss=3.199268 Batch=839, step=8040, lr=0.166750, batch loss=0.297122, epoch loss=3.496391 Batch=899, step=8100, lr=0.166250, batch loss=0.259388, epoch loss=3.755778 Batch=959, step=8160, lr=0.166250, batch loss=0.208835, epoch loss=3.964613 Batch=1019, step=8220, lr=0.165750, batch loss=0.316647, epoch loss=4.281260 Batch=1079, step=8280, lr=0.165750, batch loss=0.170206, epoch loss=4.451466 Batch=1139, step=8340, lr=0.165250, batch loss=0.207760, epoch loss=4.659225 Batch=1199, step=8400, lr=0.165000, batch loss=0.179106, epoch loss=4.838331 Epoch=6, step=8400, lr=0.165000, epoch loss=4.838331 Batch=59, step=8460, lr=0.165000, batch loss=0.227966, epoch loss=0.227966 Batch=119, step=8520, lr=0.164750, batch loss=0.176541, epoch loss=0.404507 Batch=179, step=8580, lr=0.164500, batch loss=0.187960, epoch loss=0.592467 Batch=239, step=8640, lr=0.164250, batch loss=0.278409, epoch loss=0.870875 Batch=299, step=8700, lr=0.164000, batch loss=0.190551, epoch loss=1.061426 Batch=359, step=8760, lr=0.163750, batch loss=0.250943, epoch loss=1.312369 Batch=419, step=8820, lr=0.163500, batch loss=0.245406, epoch loss=1.557775 Batch=479, step=8880, lr=0.163250, batch loss=0.227864, epoch loss=1.785639 Batch=539, step=8940, lr=0.163000, batch loss=0.181089, epoch loss=1.966728 Batch=599, step=9000, lr=0.162750, batch loss=0.216945, epoch loss=2.183673 Batch=659, step=9060, lr=0.162500, batch loss=0.294186, epoch loss=2.477859 Batch=719, step=9120, lr=0.162250, batch loss=0.294467, epoch loss=2.772326 Batch=779, step=9180, lr=0.162000, batch loss=0.315529, epoch loss=3.087855 Batch=839, step=9240, lr=0.161750, batch loss=0.287225, epoch loss=3.375081 Batch=899, step=9300, lr=0.161500, batch loss=0.251151, epoch loss=3.626231 Batch=959, step=9360, lr=0.161250, batch loss=0.189917, epoch loss=3.816148 Batch=1019, step=9420, lr=0.160750, batch loss=0.315001, epoch loss=4.131149 Batch=1079, step=9480, lr=0.160500, batch loss=0.189883, epoch loss=4.321033 Batch=1139, step=9540, lr=0.160500, batch loss=0.211756, epoch loss=4.532789 Batch=1199, step=9600, lr=0.160250, batch loss=0.167312, epoch loss=4.700101 Epoch=7, step=9600, lr=0.160250, epoch loss=4.700101 Batch=59, step=9660, lr=0.160000, batch loss=0.201574, epoch loss=0.201574 Batch=119, step=9720, lr=0.159750, batch loss=0.165045, epoch loss=0.366620 Batch=179, step=9780, lr=0.159500, batch loss=0.178929, epoch loss=0.545549 Batch=239, step=9840, lr=0.159250, batch loss=0.263474, epoch loss=0.809022 Batch=299, step=9900, lr=0.159000, batch loss=0.182181, epoch loss=0.991203 Batch=359, step=9960, lr=0.158750, batch loss=0.242001, epoch loss=1.233205 Batch=419, step=10020, lr=0.158500, batch loss=0.234037, epoch loss=1.467241 Batch=479, step=10080, lr=0.158250, batch loss=0.213885, epoch loss=1.681126 Batch=539, step=10140, lr=0.158000, batch loss=0.172876, epoch loss=1.854002 Batch=599, step=10200, lr=0.157750, batch loss=0.201847, epoch loss=2.055849 Batch=659, step=10260, lr=0.157500, batch loss=0.280839, epoch loss=2.336688 Batch=719, step=10320, lr=0.157250, batch loss=0.286913, epoch loss=2.623601 Batch=779, step=10380, lr=0.157000, batch loss=0.294800, epoch loss=2.918401 Batch=839, step=10440, lr=0.156750, batch loss=0.267703, epoch loss=3.186104 Batch=899, step=10500, lr=0.156500, batch loss=0.244372, epoch loss=3.430476 Batch=959, step=10560, lr=0.156250, batch loss=0.195640, epoch loss=3.626116 Batch=1019, step=10620, lr=0.156000, batch loss=0.280807, epoch loss=3.906923 Batch=1079, step=10680, lr=0.155500, batch loss=0.170256, epoch loss=4.077180 Batch=1139, step=10740, lr=0.155500, batch loss=0.193963, epoch loss=4.271143 Batch=1199, step=10800, lr=0.155250, batch loss=0.155051, epoch loss=4.426194 Epoch=8, step=10800, lr=0.155250, epoch loss=4.426194 Batch=59, step=10860, lr=0.155000, batch loss=0.181735, epoch loss=0.181735 Batch=119, step=10920, lr=0.154750, batch loss=0.157169, epoch loss=0.338904 Batch=179, step=10980, lr=0.154500, batch loss=0.167289, epoch loss=0.506193 Batch=239, step=11040, lr=0.154250, batch loss=0.245655, epoch loss=0.751848 Batch=299, step=11100, lr=0.154000, batch loss=0.165393, epoch loss=0.917242 Batch=359, step=11160, lr=0.153750, batch loss=0.228418, epoch loss=1.145660 Batch=419, step=11220, lr=0.153500, batch loss=0.234360, epoch loss=1.380020 Batch=479, step=11280, lr=0.153250, batch loss=0.199332, epoch loss=1.579352 Batch=539, step=11340, lr=0.153000, batch loss=0.156039, epoch loss=1.735391 Batch=599, step=11400, lr=0.152750, batch loss=0.177984, epoch loss=1.913375 Batch=659, step=11460, lr=0.152500, batch loss=0.266673, epoch loss=2.180048 Batch=719, step=11520, lr=0.152000, batch loss=0.258424, epoch loss=2.438472 Batch=779, step=11580, lr=0.152000, batch loss=0.273831, epoch loss=2.712303 Batch=839, step=11640, lr=0.151750, batch loss=0.257157, epoch loss=2.969460 Batch=899, step=11700, lr=0.151500, batch loss=0.214336, epoch loss=3.183795 Batch=959, step=11760, lr=0.151250, batch loss=0.170112, epoch loss=3.353907 Batch=1019, step=11820, lr=0.150750, batch loss=0.266643, epoch loss=3.620550 Batch=1079, step=11880, lr=0.150750, batch loss=0.151768, epoch loss=3.772318 Batch=1139, step=11940, lr=0.150500, batch loss=0.185713, epoch loss=3.958030 Batch=1199, step=12000, lr=0.150250, batch loss=0.140215, epoch loss=4.098246 Epoch=9, step=12000, lr=0.150250, epoch loss=4.098246 Batch=59, step=12060, lr=0.150000, batch loss=0.159687, epoch loss=0.159687 Batch=119, step=12120, lr=0.149750, batch loss=0.128786, epoch loss=0.288473 Batch=179, step=12180, lr=0.149500, batch loss=0.152888, epoch loss=0.441361 Batch=239, step=12240, lr=0.149250, batch loss=0.220803, epoch loss=0.662164 Batch=299, step=12300, lr=0.149000, batch loss=0.141454, epoch loss=0.803618 Batch=359, step=12360, lr=0.148500, batch loss=0.198039, epoch loss=1.001657 Batch=419, step=12420, lr=0.148500, batch loss=0.212381, epoch loss=1.214038 Batch=479, step=12480, lr=0.148250, batch loss=0.175892, epoch loss=1.389930 Batch=539, step=12540, lr=0.147750, batch loss=0.146818, epoch loss=1.536748 Batch=599, step=12600, lr=0.147750, batch loss=0.157549, epoch loss=1.694297 Batch=659, step=12660, lr=0.147500, batch loss=0.233771, epoch loss=1.928069 Batch=719, step=12720, lr=0.147250, batch loss=0.226178, epoch loss=2.154247 Batch=779, step=12780, lr=0.146750, batch loss=0.237696, epoch loss=2.391942 Batch=839, step=12840, lr=0.146500, batch loss=0.231508, epoch loss=2.623450 Batch=899, step=12900, lr=0.146500, batch loss=0.223016, epoch loss=2.846466 Batch=959, step=12960, lr=0.146250, batch loss=0.151339, epoch loss=2.997805 Batch=1019, step=13020, lr=0.146000, batch loss=0.264398, epoch loss=3.262203 Batch=1079, step=13080, lr=0.145500, batch loss=0.113312, epoch loss=3.375515 Batch=1139, step=13140, lr=0.145250, batch loss=0.151766, epoch loss=3.527281 Batch=1199, step=13200, lr=0.145250, batch loss=0.118733, epoch loss=3.646014 Epoch=10, step=13200, lr=0.145250, epoch loss=3.646014 Batch=59, step=13260, lr=0.145000, batch loss=0.138602, epoch loss=0.138602 Batch=119, step=13320, lr=0.144750, batch loss=0.117922, epoch loss=0.256524 Batch=179, step=13380, lr=0.144500, batch loss=0.129618, epoch loss=0.386142 Batch=239, step=13440, lr=0.144250, batch loss=0.186071, epoch loss=0.572213 Batch=299, step=13500, lr=0.144000, batch loss=0.121578, epoch loss=0.693791 Batch=359, step=13560, lr=0.143750, batch loss=0.162909, epoch loss=0.856700 Batch=419, step=13620, lr=0.143500, batch loss=0.162562, epoch loss=1.019262 Batch=479, step=13680, lr=0.143250, batch loss=0.146564, epoch loss=1.165827 Batch=539, step=13740, lr=0.143000, batch loss=0.120169, epoch loss=1.285995 Batch=599, step=13800, lr=0.142750, batch loss=0.121518, epoch loss=1.407513 Batch=659, step=13860, lr=0.142500, batch loss=0.178634, epoch loss=1.586148 Batch=719, step=13920, lr=0.142250, batch loss=0.179460, epoch loss=1.765608 Batch=779, step=13980, lr=0.142000, batch loss=0.199529, epoch loss=1.965137 Batch=839, step=14040, lr=0.141750, batch loss=0.186456, epoch loss=2.151593 Batch=899, step=14100, lr=0.141500, batch loss=0.160720, epoch loss=2.312312 Batch=959, step=14160, lr=0.141250, batch loss=0.132786, epoch loss=2.445098 Batch=1019, step=14220, lr=0.141000, batch loss=0.269701, epoch loss=2.714799 Batch=1079, step=14280, lr=0.140750, batch loss=0.084078, epoch loss=2.798877 Batch=1139, step=14340, lr=0.140500, batch loss=0.133932, epoch loss=2.932809 Batch=1199, step=14400, lr=0.140250, batch loss=0.091795, epoch loss=3.024605 Epoch=11, step=14400, lr=0.140250, epoch loss=3.024605 Batch=59, step=14460, lr=0.140000, batch loss=0.110553, epoch loss=0.110553 Batch=119, step=14520, lr=0.139750, batch loss=0.102978, epoch loss=0.213531 Batch=179, step=14580, lr=0.139250, batch loss=0.103697, epoch loss=0.317228 Batch=239, step=14640, lr=0.139250, batch loss=0.142625, epoch loss=0.459853 Batch=299, step=14700, lr=0.139000, batch loss=0.079803, epoch loss=0.539656 Batch=359, step=14760, lr=0.138750, batch loss=0.119921, epoch loss=0.659577 Batch=419, step=14820, lr=0.138500, batch loss=0.127085, epoch loss=0.786661 Batch=479, step=14880, lr=0.138250, batch loss=0.107943, epoch loss=0.894605 Batch=539, step=14940, lr=0.138000, batch loss=0.105448, epoch loss=1.000053 Batch=599, step=15000, lr=0.137750, batch loss=0.086119, epoch loss=1.086172 Batch=659, step=15060, lr=0.137500, batch loss=0.130106, epoch loss=1.216277 Batch=719, step=15120, lr=0.137250, batch loss=0.132479, epoch loss=1.348756 Batch=779, step=15180, lr=0.137000, batch loss=0.171183, epoch loss=1.519939 Batch=839, step=15240, lr=0.136750, batch loss=0.171113, epoch loss=1.691052 Batch=899, step=15300, lr=0.136500, batch loss=0.282798, epoch loss=1.973850 Batch=959, step=15360, lr=0.136250, batch loss=0.057478, epoch loss=2.031328 Batch=1019, step=15420, lr=0.136000, batch loss=0.137536, epoch loss=2.168863 Batch=1079, step=15480, lr=0.135750, batch loss=0.043521, epoch loss=2.212384 Batch=1139, step=15540, lr=0.135500, batch loss=0.093172, epoch loss=2.305556 Batch=1199, step=15600, lr=0.135250, batch loss=0.058806, epoch loss=2.364362 Epoch=12, step=15600, lr=0.135250, epoch loss=2.364362 Batch=59, step=15660, lr=0.135000, batch loss=0.081960, epoch loss=0.081960 Batch=119, step=15720, lr=0.134750, batch loss=0.119684, epoch loss=0.201644 Batch=179, step=15780, lr=0.134500, batch loss=0.093865, epoch loss=0.295509 Batch=239, step=15840, lr=0.134250, batch loss=0.096711, epoch loss=0.392220 Batch=299, step=15900, lr=0.134000, batch loss=0.040218, epoch loss=0.432438 Batch=359, step=15960, lr=0.133750, batch loss=0.082883, epoch loss=0.515321 Batch=419, step=16020, lr=0.133500, batch loss=0.080314, epoch loss=0.595635 Batch=479, step=16080, lr=0.133250, batch loss=0.063818, epoch loss=0.659453 Batch=539, step=16140, lr=0.133000, batch loss=0.060134, epoch loss=0.719588 Batch=599, step=16200, lr=0.132750, batch loss=0.139107, epoch loss=0.858695 Batch=659, step=16260, lr=0.132500, batch loss=0.085471, epoch loss=0.944166 Batch=719, step=16320, lr=0.132250, batch loss=0.124528, epoch loss=1.068694 Batch=779, step=16380, lr=0.132000, batch loss=0.278448, epoch loss=1.347141 Batch=839, step=16440, lr=0.131750, batch loss=0.090218, epoch loss=1.437359 Batch=899, step=16500, lr=0.131500, batch loss=0.074437, epoch loss=1.511796 Batch=959, step=16560, lr=0.131250, batch loss=0.040297, epoch loss=1.552093 Batch=1019, step=16620, lr=0.131000, batch loss=0.092545, epoch loss=1.644637 Batch=1079, step=16680, lr=0.130750, batch loss=0.029730, epoch loss=1.674367 Batch=1139, step=16740, lr=0.130500, batch loss=0.067210, epoch loss=1.741577 Batch=1199, step=16800, lr=0.130250, batch loss=0.031831, epoch loss=1.773408 Epoch=13, step=16800, lr=0.130250, epoch loss=1.773408 Batch=59, step=16860, lr=0.130000, batch loss=0.038754, epoch loss=0.038754 Batch=119, step=16920, lr=0.129750, batch loss=0.045995, epoch loss=0.084749 Batch=179, step=16980, lr=0.129500, batch loss=0.046937, epoch loss=0.131686 Batch=239, step=17040, lr=0.129250, batch loss=0.078090, epoch loss=0.209776 Batch=299, step=17100, lr=0.129000, batch loss=0.076514, epoch loss=0.286290 Batch=359, step=17160, lr=0.128750, batch loss=0.052642, epoch loss=0.338932 Batch=419, step=17220, lr=0.128500, batch loss=0.055525, epoch loss=0.394458 Batch=479, step=17280, lr=0.128250, batch loss=0.029150, epoch loss=0.423608 Batch=539, step=17340, lr=0.128000, batch loss=0.038514, epoch loss=0.462121 Batch=599, step=17400, lr=0.127750, batch loss=0.035241, epoch loss=0.497362 Batch=659, step=17460, lr=0.127500, batch loss=0.048771, epoch loss=0.546134 Batch=719, step=17520, lr=0.127250, batch loss=0.043873, epoch loss=0.590007 Batch=779, step=17580, lr=0.127000, batch loss=0.083307, epoch loss=0.673314 Batch=839, step=17640, lr=0.126750, batch loss=0.164897, epoch loss=0.838211 Batch=899, step=17700, lr=0.126500, batch loss=0.065724, epoch loss=0.903935 Batch=959, step=17760, lr=0.126250, batch loss=0.023624, epoch loss=0.927558 Batch=1019, step=17820, lr=0.126000, batch loss=0.036482, epoch loss=0.964040 Batch=1079, step=17880, lr=0.125750, batch loss=0.015377, epoch loss=0.979417 Batch=1139, step=17940, lr=0.125500, batch loss=0.036694, epoch loss=1.016111 Batch=1199, step=18000, lr=0.125250, batch loss=0.016194, epoch loss=1.032305 Epoch=14, step=18000, lr=0.125250, epoch loss=1.032305 Batch=59, step=18060, lr=0.125000, batch loss=0.012582, epoch loss=0.012582 Batch=119, step=18120, lr=0.124750, batch loss=0.018932, epoch loss=0.031513 Batch=179, step=18180, lr=0.124500, batch loss=0.031589, epoch loss=0.063102 Batch=239, step=18240, lr=0.124250, batch loss=0.033601, epoch loss=0.096703 Batch=299, step=18300, lr=0.124000, batch loss=0.010561, epoch loss=0.107265 Batch=359, step=18360, lr=0.123750, batch loss=0.023374, epoch loss=0.130639 Batch=419, step=18420, lr=0.123500, batch loss=0.032220, epoch loss=0.162858 Batch=479, step=18480, lr=0.123250, batch loss=0.031152, epoch loss=0.194010 Batch=539, step=18540, lr=0.123000, batch loss=0.050899, epoch loss=0.244909 Batch=599, step=18600, lr=0.122750, batch loss=0.026425, epoch loss=0.271334 Batch=659, step=18660, lr=0.122500, batch loss=0.032073, epoch loss=0.303407 Batch=719, step=18720, lr=0.122250, batch loss=0.044193, epoch loss=0.347600 Batch=779, step=18780, lr=0.122000, batch loss=0.119856, epoch loss=0.467456 Batch=839, step=18840, lr=0.121750, batch loss=0.055014, epoch loss=0.522470 Batch=899, step=18900, lr=0.121500, batch loss=0.052959, epoch loss=0.575429 Batch=959, step=18960, lr=0.121250, batch loss=0.013818, epoch loss=0.589247 Batch=1019, step=19020, lr=0.121000, batch loss=0.023856, epoch loss=0.613103 Batch=1079, step=19080, lr=0.120750, batch loss=0.008623, epoch loss=0.621726 Batch=1139, step=19140, lr=0.120500, batch loss=0.023894, epoch loss=0.645620 Batch=1199, step=19200, lr=0.120250, batch loss=0.010380, epoch loss=0.656000 Epoch=15, step=19200, lr=0.120250, epoch loss=0.656000 Batch=59, step=19260, lr=0.120000, batch loss=0.005088, epoch loss=0.005088 Batch=119, step=19320, lr=0.119750, batch loss=0.018172, epoch loss=0.023260 Batch=179, step=19380, lr=0.119500, batch loss=0.049893, epoch loss=0.073153 Batch=239, step=19440, lr=0.119250, batch loss=0.021221, epoch loss=0.094375 Batch=299, step=19500, lr=0.119000, batch loss=0.021105, epoch loss=0.115480 Batch=359, step=19560, lr=0.118750, batch loss=0.032278, epoch loss=0.147758 Batch=419, step=19620, lr=0.118500, batch loss=0.019717, epoch loss=0.167475 Batch=479, step=19680, lr=0.118250, batch loss=0.006390, epoch loss=0.173865 Batch=539, step=19740, lr=0.118000, batch loss=0.016514, epoch loss=0.190379 Batch=599, step=19800, lr=0.117750, batch loss=0.024476, epoch loss=0.214855 Batch=659, step=19860, lr=0.117500, batch loss=0.019103, epoch loss=0.233958 Batch=719, step=19920, lr=0.117250, batch loss=0.035317, epoch loss=0.269275 Batch=779, step=19980, lr=0.117000, batch loss=0.081633, epoch loss=0.350908 Batch=839, step=20040, lr=0.116750, batch loss=0.030841, epoch loss=0.381750 Batch=899, step=20100, lr=0.116500, batch loss=0.030900, epoch loss=0.412650 Batch=959, step=20160, lr=0.116250, batch loss=0.011125, epoch loss=0.423774 Batch=1019, step=20220, lr=0.116000, batch loss=0.017204, epoch loss=0.440978 Batch=1079, step=20280, lr=0.115750, batch loss=0.002791, epoch loss=0.443769 Batch=1139, step=20340, lr=0.115500, batch loss=0.014553, epoch loss=0.458322 Batch=1199, step=20400, lr=0.115250, batch loss=0.005707, epoch loss=0.464029 Epoch=16, step=20400, lr=0.115250, epoch loss=0.464029 Batch=59, step=20460, lr=0.115000, batch loss=0.003505, epoch loss=0.003505 Batch=119, step=20520, lr=0.114750, batch loss=0.009432, epoch loss=0.012937 Batch=179, step=20580, lr=0.114500, batch loss=0.022755, epoch loss=0.035692 Batch=239, step=20640, lr=0.114000, batch loss=0.015287, epoch loss=0.050979 Batch=299, step=20700, lr=0.113750, batch loss=0.004656, epoch loss=0.055635 Batch=359, step=20760, lr=0.113500, batch loss=0.014130, epoch loss=0.069765 Batch=419, step=20820, lr=0.113500, batch loss=0.014258, epoch loss=0.084023 Batch=479, step=20880, lr=0.113250, batch loss=0.004215, epoch loss=0.088238 Batch=539, step=20940, lr=0.113000, batch loss=0.015593, epoch loss=0.103830 Batch=599, step=21000, lr=0.112500, batch loss=0.018656, epoch loss=0.122486 Batch=659, step=21060, lr=0.112250, batch loss=0.015668, epoch loss=0.138154 Batch=719, step=21120, lr=0.112250, batch loss=0.039952, epoch loss=0.178106 Batch=779, step=21180, lr=0.112000, batch loss=0.065136, epoch loss=0.243242 Batch=839, step=21240, lr=0.111750, batch loss=0.024334, epoch loss=0.267576 Batch=899, step=21300, lr=0.111500, batch loss=0.028584, epoch loss=0.296160 Batch=959, step=21360, lr=0.111250, batch loss=0.010235, epoch loss=0.306395 Batch=1019, step=21420, lr=0.111000, batch loss=0.011134, epoch loss=0.317529 Batch=1079, step=21480, lr=0.110750, batch loss=0.001085, epoch loss=0.318614 Batch=1139, step=21540, lr=0.110500, batch loss=0.012812, epoch loss=0.331426 Batch=1199, step=21600, lr=0.110250, batch loss=0.004825, epoch loss=0.336251 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336251 Batch=59, step=21660, lr=0.110000, batch loss=0.002300, epoch loss=0.002300 Batch=119, step=21720, lr=0.109750, batch loss=0.006676, epoch loss=0.008976 Batch=179, step=21780, lr=0.109500, batch loss=0.012567, epoch loss=0.021544 Batch=239, step=21840, lr=0.109250, batch loss=0.009442, epoch loss=0.030986 Batch=299, step=21900, lr=0.109000, batch loss=0.013484, epoch loss=0.044470 Batch=359, step=21960, lr=0.108750, batch loss=0.012569, epoch loss=0.057040 Batch=419, step=22020, lr=0.108500, batch loss=0.012089, epoch loss=0.069129 Batch=479, step=22080, lr=0.108250, batch loss=0.002766, epoch loss=0.071895 Batch=539, step=22140, lr=0.108000, batch loss=0.018170, epoch loss=0.090065 Batch=599, step=22200, lr=0.107750, batch loss=0.016979, epoch loss=0.107044 Batch=659, step=22260, lr=0.107500, batch loss=0.015170, epoch loss=0.122214 Batch=719, step=22320, lr=0.107250, batch loss=0.024245, epoch loss=0.146459 Batch=779, step=22380, lr=0.107000, batch loss=0.036304, epoch loss=0.182763 Batch=839, step=22440, lr=0.106750, batch loss=0.026063, epoch loss=0.208827 Batch=899, step=22500, lr=0.106500, batch loss=0.027050, epoch loss=0.235877 Batch=959, step=22560, lr=0.106250, batch loss=0.008989, epoch loss=0.244866 Batch=1019, step=22620, lr=0.106000, batch loss=0.010224, epoch loss=0.255090 Batch=1079, step=22680, lr=0.105750, batch loss=0.000931, epoch loss=0.256021 Batch=1139, step=22740, lr=0.105500, batch loss=0.010611, epoch loss=0.266632 Batch=1199, step=22800, lr=0.105250, batch loss=0.004812, epoch loss=0.271444 Epoch=18, step=22800, lr=0.105250, epoch loss=0.271444 Batch=59, step=22860, lr=0.105000, batch loss=0.001648, epoch loss=0.001648 Batch=119, step=22920, lr=0.104750, batch loss=0.005738, epoch loss=0.007386 Batch=179, step=22980, lr=0.104500, batch loss=0.011137, epoch loss=0.018523 Batch=239, step=23040, lr=0.104250, batch loss=0.010680, epoch loss=0.029202 Batch=299, step=23100, lr=0.103750, batch loss=0.008290, epoch loss=0.037492 Batch=359, step=23160, lr=0.103750, batch loss=0.010793, epoch loss=0.048286 Batch=419, step=23220, lr=0.103500, batch loss=0.011425, epoch loss=0.059711 Batch=479, step=23280, lr=0.103250, batch loss=0.003528, epoch loss=0.063239 Batch=539, step=23340, lr=0.103000, batch loss=0.015657, epoch loss=0.078896 Batch=599, step=23400, lr=0.102750, batch loss=0.014146, epoch loss=0.093042 Batch=659, step=23460, lr=0.102500, batch loss=0.012065, epoch loss=0.105107 Batch=719, step=23520, lr=0.102250, batch loss=0.010042, epoch loss=0.115149 Batch=779, step=23580, lr=0.102000, batch loss=0.012757, epoch loss=0.127906 Batch=839, step=23640, lr=0.101750, batch loss=0.019457, epoch loss=0.147362 Batch=899, step=23700, lr=0.101500, batch loss=0.027407, epoch loss=0.174770 Batch=959, step=23760, lr=0.101250, batch loss=0.008444, epoch loss=0.183214 Batch=1019, step=23820, lr=0.101000, batch loss=0.008794, epoch loss=0.192008 Batch=1079, step=23880, lr=0.100750, batch loss=0.000798, epoch loss=0.192806 Batch=1139, step=23940, lr=0.100500, batch loss=0.008781, epoch loss=0.201587 Batch=1199, step=24000, lr=0.100250, batch loss=0.004540, epoch loss=0.206127 Epoch=19, step=24000, lr=0.100250, epoch loss=0.206127 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 2025-05-30 12:57.41: Job failed: Failed: Build failed