2025-05-24 13:53.35: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (04a2e5bc7ef512f37a092509cae32d465b977cfc) (linux-x86_64:opensuse-15.6-5.3_opam-2.3) Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 04a2e5bc cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 # opensuse-15.6-5.3_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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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.4.0.0 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 2025-05-24 13:53.35: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da" 2025-05-24 13:53.35: Using OBuilder spec: ((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) (comment opensuse-15.6-5.3_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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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.4.0.0 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")) ) 2025-05-24 13:53.35: Waiting for resource in pool OCluster 2025-05-24 13:53.36: Waiting for worker… 2025-05-24 13:53.51: Got resource from pool OCluster Building on bremusa.ocamllabs.io All commits already cached HEAD is now at 04a2e5bc Tensor.print line breaks; test expe3ctations for OCaml-style ndarray formatting (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) 2025-05-24 13:54.56 ---> saved as "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" /: (comment opensuse-15.6-5.3_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")) 2025-05-24 13:54.57 ---> saved as "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" /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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-24 13:55.45 ---> saved as "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" /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 2025-05-24 13:55.46 ---> saved as "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-24 13:55.47 ---> saved as "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..4283277331 master -> origin/master 2df846cb67 Merge pull request #27910 from maiste/release-dune-3.19.0 <><> 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) 2025-05-24 13:56.36 ---> saved as "830de3684b2303473878f5698d61ec87cb7fe814b217f5708a2c7f6d4451ffe1" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-24 13:56.38 ---> saved as "459278b62ebc9bf3bae8a23c439e02ba9180143363e8b791b96cd47a22246de2" /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) 2025-05-24 13:57.01 ---> saved as "be6ac93863a1b5b642aa9b6e9b96a10dca23c117cb04d816475d42b89fddd193" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-24 13:57.01 ---> saved as "85b9d1160afd8d29949124b6ec2da9b16bb9badbdc27dac47545b80a70e6e87b" /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.4.0.0 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 "zypper" "--non-interactive" "refresh" - Retrieving repository 'Update repository of openSUSE Backports' metadata [... - .........done] - Building repository 'Update repository of openSUSE Backports' cache [....done] - Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [.. - ........ - ........ - .......... - .......... - .......... - ......... - ......... - .... - ........ - done] - Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [.. - ..done] - Retrieving repository 'Main Update Repository' metadata [.. - ........done] - Building repository 'Main Update Repository' cache [....done] - Retrieving repository 'Update Repository (Non-Oss)' metadata [........ - .done] - Building repository 'Update Repository (Non-Oss)' cache [....done] - Repository 'Non-OSS Repository' is up to date. - Repository 'Main Repository' is up to date. - All repositories have been refreshed. <><> 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-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel" - Loading repository data... - Reading installed packages... - Resolving package dependencies... - - The following NEW package is going to be installed: - libffi-devel - - 1 new package to install. - - Package download size: 26.7 KiB - - Package install size change: - | 29.1 KiB required by packages that will be installed - 29.1 KiB | - 0 B released by packages that will be removed - - Backend: classic_rpmtrans - Continue? [y/n/v/...? shows all options] (y): y - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1), 26.7 KiB - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (26.7 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-05-24 13:58.43 ---> saved as "1f67e902ca7d0a707837105946108c10581cc82ec7da85f806339e507e156f8e" /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 4.0.0 - 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 base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> 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 multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (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_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (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_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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 sexplib0.v0.17.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> 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 ptime.1.2.0 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed backoff.0.1.1 -> installed jane-street-headers.v0.17.0 -> installed bigarray-compat.1.1.0 -> installed csexp.1.5.2 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> 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 ocaml-syntax-shims.1.0.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed thread-local-storage.0.2 -> installed integers.0.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> 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 ctypes.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.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) 2025-05-24 14:03.56 ---> saved as "547ea84987e73b6c78cdad10e200daf6adc18bc2fdf6481b7ab9baff252fb2bf" /src: (copy (src .) (dst /src)) 2025-05-24 14:03.57 ---> saved as "faf8292f366d935d9671786d16e921a81a5dc994c64c812f6bb463fc67a37aba" /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_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/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/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b6212431276cc0030864b40facaca90e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/27e34ad11c5a92101fb073c609e3b16b/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/27e34ad11c5a92101fb073c609e3b16b/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=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183250, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260436, epoch loss=1.998290 Batch=539, step=4140, lr=0.183000, batch loss=0.195296, epoch loss=2.193586 Batch=599, step=4200, lr=0.182750, batch loss=0.230298, epoch loss=2.423884 Batch=659, step=4260, lr=0.182500, batch loss=0.337236, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347033, epoch loss=3.108153 Batch=779, step=4380, lr=0.182000, batch loss=0.346389, epoch loss=3.454543 Batch=839, step=4440, lr=0.181750, batch loss=0.317701, epoch loss=3.772244 Batch=899, step=4500, lr=0.181500, batch loss=0.284012, epoch loss=4.056256 Batch=959, step=4560, lr=0.181250, batch loss=0.238217, epoch loss=4.294473 Batch=1019, step=4620, lr=0.181000, batch loss=0.337076, epoch loss=4.631548 Batch=1079, step=4680, lr=0.180750, batch loss=0.208401, epoch loss=4.839950 Batch=1139, step=4740, lr=0.180500, batch loss=0.249324, epoch loss=5.089274 Batch=1199, step=4800, lr=0.180250, batch loss=0.191773, epoch loss=5.281047 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281047 Batch=59, step=4860, lr=0.180000, batch loss=0.227977, epoch loss=0.227977 Batch=119, step=4920, lr=0.179750, batch loss=0.190304, epoch loss=0.418282 Batch=179, step=4980, lr=0.179500, batch loss=0.205912, epoch loss=0.624194 Batch=239, step=5040, lr=0.179250, batch loss=0.309022, epoch loss=0.933216 Batch=299, step=5100, lr=0.179000, batch loss=0.204681, epoch loss=1.137897 Batch=359, step=5160, lr=0.178750, batch loss=0.271087, epoch loss=1.408983 Batch=419, step=5220, lr=0.178500, batch loss=0.264075, epoch loss=1.673058 Batch=479, step=5280, lr=0.178250, batch loss=0.239656, epoch loss=1.912714 Batch=539, step=5340, lr=0.178000, batch loss=0.189522, epoch loss=2.102236 Batch=599, step=5400, lr=0.177750, batch loss=0.230915, epoch loss=2.333151 Batch=659, step=5460, lr=0.177500, batch loss=0.323668, epoch loss=2.656819 Batch=719, step=5520, lr=0.177250, batch loss=0.325785, epoch loss=2.982604 Batch=779, step=5580, lr=0.177000, batch loss=0.343261, epoch loss=3.325865 Batch=839, step=5640, lr=0.176750, batch loss=0.309285, epoch loss=3.635150 Batch=899, step=5700, lr=0.176500, batch loss=0.273250, epoch loss=3.908400 Batch=959, step=5760, lr=0.176250, batch loss=0.214767, epoch loss=4.123167 Batch=1019, step=5820, lr=0.175750, batch loss=0.339368, epoch loss=4.462535 Batch=1079, step=5880, lr=0.175500, batch loss=0.207322, epoch loss=4.669857 Batch=1139, step=5940, lr=0.175500, batch loss=0.240099, epoch loss=4.909956 Batch=1199, step=6000, lr=0.175250, batch loss=0.186889, epoch loss=5.096846 Epoch=4, step=6000, lr=0.175250, epoch loss=5.096846 Batch=59, step=6060, lr=0.174750, batch loss=0.230457, epoch loss=0.230457 Batch=119, step=6120, lr=0.174750, batch loss=0.194256, epoch loss=0.424713 Batch=179, step=6180, lr=0.174500, batch loss=0.201540, epoch loss=0.626253 Batch=239, step=6240, lr=0.174250, batch loss=0.302395, epoch loss=0.928647 Batch=299, step=6300, lr=0.174000, batch loss=0.203894, epoch loss=1.132541 Batch=359, step=6360, lr=0.173750, batch loss=0.266151, epoch loss=1.398692 Batch=419, step=6420, lr=0.173500, batch loss=0.265259, epoch loss=1.663951 Batch=479, step=6480, lr=0.173250, batch loss=0.243367, epoch loss=1.907319 Batch=539, step=6540, lr=0.173000, batch loss=0.192930, epoch loss=2.100249 Batch=599, step=6600, lr=0.172750, batch loss=0.234556, epoch loss=2.334805 Batch=659, step=6660, lr=0.172500, batch loss=0.312087, epoch loss=2.646892 Batch=719, step=6720, lr=0.172250, batch loss=0.314244, epoch loss=2.961136 Batch=779, step=6780, lr=0.172000, batch loss=0.333184, epoch loss=3.294320 Batch=839, step=6840, lr=0.171750, batch loss=0.303784, epoch loss=3.598104 Batch=899, step=6900, lr=0.171500, batch loss=0.268432, epoch loss=3.866537 Batch=959, step=6960, lr=0.171250, batch loss=0.211108, epoch loss=4.077645 Batch=1019, step=7020, lr=0.171000, batch loss=0.329656, epoch loss=4.407300 Batch=1079, step=7080, lr=0.170750, batch loss=0.180733, epoch loss=4.588033 Batch=1139, step=7140, lr=0.170500, batch loss=0.216066, epoch loss=4.804100 Batch=1199, step=7200, lr=0.170250, batch loss=0.185640, epoch loss=4.989739 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989739 Batch=59, step=7260, lr=0.170000, batch loss=0.232582, epoch loss=0.232582 Batch=119, step=7320, lr=0.169750, batch loss=0.184575, epoch loss=0.417157 Batch=179, step=7380, lr=0.169500, batch loss=0.196596, epoch loss=0.613754 Batch=239, step=7440, lr=0.169250, batch loss=0.291718, epoch loss=0.905471 Batch=299, step=7500, lr=0.169000, batch loss=0.200804, epoch loss=1.106275 Batch=359, step=7560, lr=0.168750, batch loss=0.258624, epoch loss=1.364900 Batch=419, step=7620, lr=0.168500, batch loss=0.257312, epoch loss=1.622212 Batch=479, step=7680, lr=0.168250, batch loss=0.235432, epoch loss=1.857644 Batch=539, step=7740, lr=0.168000, batch loss=0.188473, epoch loss=2.046117 Batch=599, step=7800, lr=0.167750, batch loss=0.223303, epoch loss=2.269420 Batch=659, step=7860, lr=0.167500, batch loss=0.306256, epoch loss=2.575676 Batch=719, step=7920, lr=0.167250, batch loss=0.308765, epoch loss=2.884441 Batch=779, step=7980, lr=0.167000, batch loss=0.330556, epoch loss=3.214998 Batch=839, step=8040, lr=0.166750, batch loss=0.292056, epoch loss=3.507054 Batch=899, step=8100, lr=0.166500, batch loss=0.262232, epoch loss=3.769286 Batch=959, step=8160, lr=0.166250, batch loss=0.192500, epoch loss=3.961785 Batch=1019, step=8220, lr=0.166000, batch loss=0.291089, epoch loss=4.252874 Batch=1079, step=8280, lr=0.165750, batch loss=0.184390, epoch loss=4.437265 Batch=1139, step=8340, lr=0.165500, batch loss=0.216262, epoch loss=4.653527 Batch=1199, step=8400, lr=0.165250, batch loss=0.172776, epoch loss=4.826302 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826302 Batch=59, step=8460, lr=0.165000, batch loss=0.212086, epoch loss=0.212086 Batch=119, step=8520, lr=0.164750, batch loss=0.177925, epoch loss=0.390011 Batch=179, step=8580, lr=0.164500, batch loss=0.188650, epoch loss=0.578661 Batch=239, step=8640, lr=0.164250, batch loss=0.278223, epoch loss=0.856884 Batch=299, step=8700, lr=0.164000, batch loss=0.193522, epoch loss=1.050406 Batch=359, step=8760, lr=0.163750, batch loss=0.247346, epoch loss=1.297752 Batch=419, step=8820, lr=0.163500, batch loss=0.245171, epoch loss=1.542923 Batch=479, step=8880, lr=0.163250, batch loss=0.229373, epoch loss=1.772296 Batch=539, step=8940, lr=0.163000, batch loss=0.177447, epoch loss=1.949743 Batch=599, step=9000, lr=0.162750, batch loss=0.217692, epoch loss=2.167435 Batch=659, step=9060, lr=0.162500, batch loss=0.294932, epoch loss=2.462366 Batch=719, step=9120, lr=0.162250, batch loss=0.299635, epoch loss=2.762002 Batch=779, step=9180, lr=0.162000, batch loss=0.316314, epoch loss=3.078316 Batch=839, step=9240, lr=0.161750, batch loss=0.282068, epoch loss=3.360384 Batch=899, step=9300, lr=0.161500, batch loss=0.250550, epoch loss=3.610935 Batch=959, step=9360, lr=0.161250, batch loss=0.198281, epoch loss=3.809216 Batch=1019, step=9420, lr=0.161000, batch loss=0.307099, epoch loss=4.116314 Batch=1079, step=9480, lr=0.160750, batch loss=0.197230, epoch loss=4.313544 Batch=1139, step=9540, lr=0.160500, batch loss=0.213292, epoch loss=4.526836 Batch=1199, step=9600, lr=0.160250, batch loss=0.167142, epoch loss=4.693978 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693978 Batch=59, step=9660, lr=0.160000, batch loss=0.201044, epoch loss=0.201044 Batch=119, step=9720, lr=0.159750, batch loss=0.164829, epoch loss=0.365873 Batch=179, step=9780, lr=0.159500, batch loss=0.178451, epoch loss=0.544324 Batch=239, step=9840, lr=0.159250, batch loss=0.262517, epoch loss=0.806840 Batch=299, step=9900, lr=0.159000, batch loss=0.181403, epoch loss=0.988243 Batch=359, step=9960, lr=0.158750, batch loss=0.241116, epoch loss=1.229359 Batch=419, step=10020, lr=0.158500, batch loss=0.233438, epoch loss=1.462797 Batch=479, step=10080, lr=0.158250, batch loss=0.213497, epoch loss=1.676295 Batch=539, step=10140, lr=0.158000, batch loss=0.172162, epoch loss=1.848457 Batch=599, step=10200, lr=0.157750, batch loss=0.201029, epoch loss=2.049486 Batch=659, step=10260, lr=0.157500, batch loss=0.281265, epoch loss=2.330750 Batch=719, step=10320, lr=0.157250, batch loss=0.286177, epoch loss=2.616927 Batch=779, step=10380, lr=0.157000, batch loss=0.294734, epoch loss=2.911661 Batch=839, step=10440, lr=0.156750, batch loss=0.266118, epoch loss=3.177779 Batch=899, step=10500, lr=0.156250, batch loss=0.244122, epoch loss=3.421901 Batch=959, step=10560, lr=0.156250, batch loss=0.197574, epoch loss=3.619475 Batch=1019, step=10620, lr=0.156000, batch loss=0.279752, epoch loss=3.899227 Batch=1079, step=10680, lr=0.155750, batch loss=0.167715, epoch loss=4.066941 Batch=1139, step=10740, lr=0.155500, batch loss=0.199765, epoch loss=4.266706 Batch=1199, step=10800, lr=0.155250, batch loss=0.154107, epoch loss=4.420813 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420813 Batch=59, step=10860, lr=0.155000, batch loss=0.180033, epoch loss=0.180033 Batch=119, step=10920, lr=0.154750, batch loss=0.150667, epoch loss=0.330700 Batch=179, step=10980, lr=0.154500, batch loss=0.166383, epoch loss=0.497083 Batch=239, step=11040, lr=0.154250, batch loss=0.240662, epoch loss=0.737745 Batch=299, step=11100, lr=0.154000, batch loss=0.172355, epoch loss=0.910100 Batch=359, step=11160, lr=0.153750, batch loss=0.220717, epoch loss=1.130817 Batch=419, step=11220, lr=0.153500, batch loss=0.228499, epoch loss=1.359315 Batch=479, step=11280, lr=0.153250, batch loss=0.204065, epoch loss=1.563381 Batch=539, step=11340, lr=0.153000, batch loss=0.159055, epoch loss=1.722436 Batch=599, step=11400, lr=0.152750, batch loss=0.184341, epoch loss=1.906776 Batch=659, step=11460, lr=0.152500, batch loss=0.264459, epoch loss=2.171235 Batch=719, step=11520, lr=0.152250, batch loss=0.255830, epoch loss=2.427065 Batch=779, step=11580, lr=0.152000, batch loss=0.271135, epoch loss=2.698200 Batch=839, step=11640, lr=0.151750, batch loss=0.256572, epoch loss=2.954772 Batch=899, step=11700, lr=0.151500, batch loss=0.216915, epoch loss=3.171687 Batch=959, step=11760, lr=0.151250, batch loss=0.186233, epoch loss=3.357921 Batch=1019, step=11820, lr=0.151000, batch loss=0.276899, epoch loss=3.634820 Batch=1079, step=11880, lr=0.150750, batch loss=0.148670, epoch loss=3.783490 Batch=1139, step=11940, lr=0.150500, batch loss=0.180573, epoch loss=3.964063 Batch=1199, step=12000, lr=0.150250, batch loss=0.139754, epoch loss=4.103818 Epoch=9, step=12000, lr=0.150250, epoch loss=4.103818 Batch=59, step=12060, lr=0.150000, batch loss=0.161205, epoch loss=0.161205 Batch=119, step=12120, lr=0.149750, batch loss=0.136876, epoch loss=0.298081 Batch=179, step=12180, lr=0.149500, batch loss=0.150767, epoch loss=0.448847 Batch=239, step=12240, lr=0.149250, batch loss=0.218824, epoch loss=0.667671 Batch=299, step=12300, lr=0.149000, batch loss=0.142172, epoch loss=0.809843 Batch=359, step=12360, lr=0.148750, batch loss=0.198650, epoch loss=1.008493 Batch=419, step=12420, lr=0.148500, batch loss=0.206502, epoch loss=1.214995 Batch=479, step=12480, lr=0.148250, batch loss=0.178562, epoch loss=1.393557 Batch=539, step=12540, lr=0.148000, batch loss=0.142775, epoch loss=1.536332 Batch=599, step=12600, lr=0.147750, batch loss=0.149225, epoch loss=1.685557 Batch=659, step=12660, lr=0.147500, batch loss=0.226658, epoch loss=1.912215 Batch=719, step=12720, lr=0.147250, batch loss=0.233471, epoch loss=2.145685 Batch=779, step=12780, lr=0.147000, batch loss=0.263784, epoch loss=2.409469 Batch=839, step=12840, lr=0.146750, batch loss=0.234352, epoch loss=2.643821 Batch=899, step=12900, lr=0.146500, batch loss=0.211557, epoch loss=2.855378 Batch=959, step=12960, lr=0.146250, batch loss=0.152620, epoch loss=3.007998 Batch=1019, step=13020, lr=0.146000, batch loss=0.264057, epoch loss=3.272055 Batch=1079, step=13080, lr=0.145750, batch loss=0.113040, epoch loss=3.385096 Batch=1139, step=13140, lr=0.145500, batch loss=0.150990, epoch loss=3.536086 Batch=1199, step=13200, lr=0.145250, batch loss=0.117415, epoch loss=3.653501 Epoch=10, step=13200, lr=0.145250, epoch loss=3.653501 Batch=59, step=13260, lr=0.145000, batch loss=0.145567, epoch loss=0.145567 Batch=119, step=13320, lr=0.144750, batch loss=0.125516, epoch loss=0.271082 Batch=179, step=13380, lr=0.144500, batch loss=0.130012, epoch loss=0.401094 Batch=239, step=13440, lr=0.144250, batch loss=0.189985, epoch loss=0.591079 Batch=299, step=13500, lr=0.144000, batch loss=0.120820, epoch loss=0.711900 Batch=359, step=13560, lr=0.143750, batch loss=0.161288, epoch loss=0.873187 Batch=419, step=13620, lr=0.143500, batch loss=0.160999, epoch loss=1.034187 Batch=479, step=13680, lr=0.143250, batch loss=0.147434, epoch loss=1.181621 Batch=539, step=13740, lr=0.143000, batch loss=0.118414, epoch loss=1.300035 Batch=599, step=13800, lr=0.142750, batch loss=0.119921, epoch loss=1.419956 Batch=659, step=13860, lr=0.142500, batch loss=0.175833, epoch loss=1.595789 Batch=719, step=13920, lr=0.142250, batch loss=0.178453, epoch loss=1.774241 Batch=779, step=13980, lr=0.142000, batch loss=0.196153, epoch loss=1.970395 Batch=839, step=14040, lr=0.141750, batch loss=0.190282, epoch loss=2.160676 Batch=899, step=14100, lr=0.141500, batch loss=0.174550, epoch loss=2.335227 Batch=959, step=14160, lr=0.141250, batch loss=0.137933, epoch loss=2.473160 Batch=1019, step=14220, lr=0.141000, batch loss=0.270591, epoch loss=2.743750 Batch=1079, step=14280, lr=0.140750, batch loss=0.080068, epoch loss=2.823818 Batch=1139, step=14340, lr=0.140500, batch loss=0.120500, epoch loss=2.944318 Batch=1199, step=14400, lr=0.140250, batch loss=0.089807, epoch loss=3.034125 Epoch=11, step=14400, lr=0.140250, epoch loss=3.034125 Batch=59, step=14460, lr=0.140000, batch loss=0.110229, epoch loss=0.110229 Batch=119, step=14520, lr=0.139750, batch loss=0.102112, epoch loss=0.212341 Batch=179, step=14580, lr=0.139500, batch loss=0.102483, epoch loss=0.314824 Batch=239, step=14640, lr=0.139250, batch loss=0.142085, epoch loss=0.456909 Batch=299, step=14700, lr=0.139000, batch loss=0.077281, epoch loss=0.534190 Batch=359, step=14760, lr=0.138750, batch loss=0.119735, epoch loss=0.653925 Batch=419, step=14820, lr=0.138500, batch loss=0.132899, epoch loss=0.786823 Batch=479, step=14880, lr=0.138250, batch loss=0.097832, epoch loss=0.884655 Batch=539, step=14940, lr=0.138000, batch loss=0.092504, epoch loss=0.977159 Batch=599, step=15000, lr=0.137750, batch loss=0.083959, epoch loss=1.061118 Batch=659, step=15060, lr=0.137500, batch loss=0.127685, epoch loss=1.188803 Batch=719, step=15120, lr=0.137250, batch loss=0.133417, epoch loss=1.322220 Batch=779, step=15180, lr=0.137000, batch loss=0.182019, epoch loss=1.504239 Batch=839, step=15240, lr=0.136750, batch loss=0.169761, epoch loss=1.674000 Batch=899, step=15300, lr=0.136500, batch loss=0.285790, epoch loss=1.959790 Batch=959, step=15360, lr=0.136250, batch loss=0.054523, epoch loss=2.014313 Batch=1019, step=15420, lr=0.136000, batch loss=0.126833, epoch loss=2.141147 Batch=1079, step=15480, lr=0.135750, batch loss=0.051998, epoch loss=2.193144 Batch=1139, step=15540, lr=0.135500, batch loss=0.102445, epoch loss=2.295589 Batch=1199, step=15600, lr=0.135250, batch loss=0.060075, epoch loss=2.355664 Epoch=12, step=15600, lr=0.135250, epoch loss=2.355664 Batch=59, step=15660, lr=0.135000, batch loss=0.071469, epoch loss=0.071469 Batch=119, step=15720, lr=0.134750, batch loss=0.087254, epoch loss=0.158724 Batch=179, step=15780, lr=0.134500, batch loss=0.081466, epoch loss=0.240189 Batch=239, step=15840, lr=0.134250, batch loss=0.090684, epoch loss=0.330873 Batch=299, step=15900, lr=0.134000, batch loss=0.036091, epoch loss=0.366964 Batch=359, step=15960, lr=0.133750, batch loss=0.073076, epoch loss=0.440040 Batch=419, step=16020, lr=0.133500, batch loss=0.091523, epoch loss=0.531563 Batch=479, step=16080, lr=0.133250, batch loss=0.065669, epoch loss=0.597232 Batch=539, step=16140, lr=0.133000, batch loss=0.103634, epoch loss=0.700866 Batch=599, step=16200, lr=0.132750, batch loss=0.059849, epoch loss=0.760715 Batch=659, step=16260, lr=0.132500, batch loss=0.085392, epoch loss=0.846107 Batch=719, step=16320, lr=0.132250, batch loss=0.091565, epoch loss=0.937671 Batch=779, step=16380, lr=0.132000, batch loss=0.090270, epoch loss=1.027941 Batch=839, step=16440, lr=0.131750, batch loss=0.129803, epoch loss=1.157744 Batch=899, step=16500, lr=0.131500, batch loss=0.069575, epoch loss=1.227318 Batch=959, step=16560, lr=0.131250, batch loss=0.027341, epoch loss=1.254660 Batch=1019, step=16620, lr=0.131000, batch loss=0.069488, epoch loss=1.324148 Batch=1079, step=16680, lr=0.130750, batch loss=0.061998, epoch loss=1.386146 Batch=1139, step=16740, lr=0.130500, batch loss=0.150847, epoch loss=1.536993 Batch=1199, step=16800, lr=0.130250, batch loss=0.035948, epoch loss=1.572941 Epoch=13, step=16800, lr=0.130250, epoch loss=1.572941 Batch=59, step=16860, lr=0.130000, batch loss=0.035546, epoch loss=0.035546 Batch=119, step=16920, lr=0.129750, batch loss=0.036217, epoch loss=0.071764 Batch=179, step=16980, lr=0.129500, batch loss=0.043738, epoch loss=0.115502 Batch=239, step=17040, lr=0.129250, batch loss=0.059028, epoch loss=0.174529 Batch=299, step=17100, lr=0.129000, batch loss=0.021122, epoch loss=0.195651 Batch=359, step=17160, lr=0.128750, batch loss=0.046282, epoch loss=0.241934 Batch=419, step=17220, lr=0.128500, batch loss=0.084464, epoch loss=0.326398 Batch=479, step=17280, lr=0.128250, batch loss=0.025812, epoch loss=0.352210 Batch=539, step=17340, lr=0.128000, batch loss=0.027158, epoch loss=0.379368 Batch=599, step=17400, lr=0.127750, batch loss=0.034571, epoch loss=0.413940 Batch=659, step=17460, lr=0.127500, batch loss=0.044211, epoch loss=0.458150 Batch=719, step=17520, lr=0.127250, batch loss=0.040969, epoch loss=0.499119 Batch=779, step=17580, lr=0.127000, batch loss=0.051089, epoch loss=0.550209 Batch=839, step=17640, lr=0.126750, batch loss=0.092891, epoch loss=0.643099 Batch=899, step=17700, lr=0.126500, batch loss=0.139831, epoch loss=0.782931 Batch=959, step=17760, lr=0.126250, batch loss=0.028307, epoch loss=0.811238 Batch=1019, step=17820, lr=0.126000, batch loss=0.060775, epoch loss=0.872013 Batch=1079, step=17880, lr=0.125750, batch loss=0.023717, epoch loss=0.895730 Batch=1139, step=17940, lr=0.125500, batch loss=0.049666, epoch loss=0.945396 Batch=1199, step=18000, lr=0.125250, batch loss=0.022039, epoch loss=0.967435 Epoch=14, step=18000, lr=0.125250, epoch loss=0.967435 Batch=59, step=18060, lr=0.125000, batch loss=0.012554, epoch loss=0.012554 Batch=119, step=18120, lr=0.124750, batch loss=0.019456, epoch loss=0.032010 Batch=179, step=18180, lr=0.124500, batch loss=0.028101, epoch loss=0.060111 Batch=239, step=18240, lr=0.124250, batch loss=0.034196, epoch loss=0.094307 Batch=299, step=18300, lr=0.124000, batch loss=0.010833, epoch loss=0.105140 Batch=359, step=18360, lr=0.123750, batch loss=0.022417, epoch loss=0.127556 Batch=419, step=18420, lr=0.123500, batch loss=0.028883, epoch loss=0.156439 Batch=479, step=18480, lr=0.123250, batch loss=0.022309, epoch loss=0.178749 Batch=539, step=18540, lr=0.123000, batch loss=0.043267, epoch loss=0.222015 Batch=599, step=18600, lr=0.122750, batch loss=0.025469, epoch loss=0.247484 Batch=659, step=18660, lr=0.122500, batch loss=0.030864, epoch loss=0.278348 Batch=719, step=18720, lr=0.122250, batch loss=0.044783, epoch loss=0.323130 Batch=779, step=18780, lr=0.122000, batch loss=0.114804, epoch loss=0.437935 Batch=839, step=18840, lr=0.121750, batch loss=0.053968, epoch loss=0.491903 Batch=899, step=18900, lr=0.121500, batch loss=0.058546, epoch loss=0.550449 Batch=959, step=18960, lr=0.121250, batch loss=0.013434, epoch loss=0.563883 Batch=1019, step=19020, lr=0.121000, batch loss=0.016706, epoch loss=0.580589 Batch=1079, step=19080, lr=0.120750, batch loss=0.007767, epoch loss=0.588356 Batch=1139, step=19140, lr=0.120500, batch loss=0.023512, epoch loss=0.611868 Batch=1199, step=19200, lr=0.120250, batch loss=0.009482, epoch loss=0.621350 Epoch=15, step=19200, lr=0.120250, epoch loss=0.621350 Batch=59, step=19260, lr=0.120000, batch loss=0.004818, epoch loss=0.004818 Batch=119, step=19320, lr=0.119750, batch loss=0.018007, epoch loss=0.022825 Batch=179, step=19380, lr=0.119500, batch loss=0.039424, epoch loss=0.062249 Batch=239, step=19440, lr=0.119250, batch loss=0.021755, epoch loss=0.084004 Batch=299, step=19500, lr=0.119000, batch loss=0.005735, epoch loss=0.089739 Batch=359, step=19560, lr=0.118750, batch loss=0.015931, epoch loss=0.105670 Batch=419, step=19620, lr=0.118500, batch loss=0.019079, epoch loss=0.124749 Batch=479, step=19680, lr=0.118250, batch loss=0.007706, epoch loss=0.132455 Batch=539, step=19740, lr=0.118000, batch loss=0.020877, epoch loss=0.153332 Batch=599, step=19800, lr=0.117750, batch loss=0.021024, epoch loss=0.174356 Batch=659, step=19860, lr=0.117500, batch loss=0.019244, epoch loss=0.193600 Batch=719, step=19920, lr=0.117250, batch loss=0.029352, epoch loss=0.222953 Batch=779, step=19980, lr=0.117000, batch loss=0.061814, epoch loss=0.284766 Batch=839, step=20040, lr=0.116750, batch loss=0.031909, epoch loss=0.316675 Batch=899, step=20100, lr=0.116500, batch loss=0.037515, epoch loss=0.354189 Batch=959, step=20160, lr=0.116250, batch loss=0.012695, epoch loss=0.366884 Batch=1019, step=20220, lr=0.116000, batch loss=0.014632, epoch loss=0.381516 Batch=1079, step=20280, lr=0.115750, batch loss=0.002552, epoch loss=0.384068 Batch=1139, step=20340, lr=0.115500, batch loss=0.014202, epoch loss=0.398270 Batch=1199, step=20400, lr=0.115250, batch loss=0.007630, epoch loss=0.405900 Epoch=16, step=20400, lr=0.115250, epoch loss=0.405900 Batch=59, step=20460, lr=0.115000, batch loss=0.003784, epoch loss=0.003784 Batch=119, step=20520, lr=0.114750, batch loss=0.008486, epoch loss=0.012270 Batch=179, step=20580, lr=0.114500, batch loss=0.014797, epoch loss=0.027067 Batch=239, step=20640, lr=0.114250, batch loss=0.012424, epoch loss=0.039491 Batch=299, step=20700, lr=0.114000, batch loss=0.012936, epoch loss=0.052427 Batch=359, step=20760, lr=0.113750, batch loss=0.016745, epoch loss=0.069172 Batch=419, step=20820, lr=0.113500, batch loss=0.015238, epoch loss=0.084410 Batch=479, step=20880, lr=0.113250, batch loss=0.005340, epoch loss=0.089751 Batch=539, step=20940, lr=0.113000, batch loss=0.025086, epoch loss=0.114837 Batch=599, step=21000, lr=0.112750, batch loss=0.022380, epoch loss=0.137216 Batch=659, step=21060, lr=0.112500, batch loss=0.016179, epoch loss=0.153396 Batch=719, step=21120, lr=0.112250, batch loss=0.033942, epoch loss=0.187338 Batch=779, step=21180, lr=0.112000, batch loss=0.059592, epoch loss=0.246930 Batch=839, step=21240, lr=0.111750, batch loss=0.024848, epoch loss=0.271779 Batch=899, step=21300, lr=0.111500, batch loss=0.028629, epoch loss=0.300408 Batch=959, step=21360, lr=0.111250, batch loss=0.010447, epoch loss=0.310854 Batch=1019, step=21420, lr=0.111000, batch loss=0.012706, epoch loss=0.323560 Batch=1079, step=21480, lr=0.110750, batch loss=0.001521, epoch loss=0.325081 Batch=1139, step=21540, lr=0.110500, batch loss=0.012956, epoch loss=0.338037 Batch=1199, step=21600, lr=0.110250, batch loss=0.005163, epoch loss=0.343200 Epoch=17, step=21600, lr=0.110250, epoch loss=0.343200 Batch=59, step=21660, lr=0.110000, batch loss=0.001923, epoch loss=0.001923 Batch=119, step=21720, lr=0.109750, batch loss=0.006809, epoch loss=0.008733 Batch=179, step=21780, lr=0.109500, batch loss=0.012692, epoch loss=0.021424 Batch=239, step=21840, lr=0.109250, batch loss=0.010211, epoch loss=0.031635 Batch=299, step=21900, lr=0.109000, batch loss=0.010313, epoch loss=0.041948 Batch=359, step=21960, lr=0.108750, batch loss=0.014014, epoch loss=0.055963 Batch=419, step=22020, lr=0.108500, batch loss=0.012314, epoch loss=0.068276 Batch=479, step=22080, lr=0.108250, batch loss=0.002676, epoch loss=0.070952 Batch=539, step=22140, lr=0.108000, batch loss=0.017349, epoch loss=0.088302 Batch=599, step=22200, lr=0.107750, batch loss=0.015497, epoch loss=0.103799 Batch=659, step=22260, lr=0.107500, batch loss=0.011447, epoch loss=0.115246 Batch=719, step=22320, lr=0.107250, batch loss=0.018768, epoch loss=0.134014 Batch=779, step=22380, lr=0.107000, batch loss=0.024696, epoch loss=0.158710 Batch=839, step=22440, lr=0.106750, batch loss=0.026896, epoch loss=0.185605 Batch=899, step=22500, lr=0.106500, batch loss=0.025254, epoch loss=0.210859 Batch=959, step=22560, lr=0.106250, batch loss=0.008789, epoch loss=0.219648 Batch=1019, step=22620, lr=0.106000, batch loss=0.008786, epoch loss=0.228434 Batch=1079, step=22680, lr=0.105750, batch loss=0.000654, epoch loss=0.229088 Batch=1139, step=22740, lr=0.105500, batch loss=0.010417, epoch loss=0.239505 Batch=1199, step=22800, lr=0.105250, batch loss=0.004887, epoch loss=0.244392 Epoch=18, step=22800, lr=0.105250, epoch loss=0.244392 Batch=59, step=22860, lr=0.105000, batch loss=0.001681, epoch loss=0.001681 Batch=119, step=22920, lr=0.104750, batch loss=0.005420, epoch loss=0.007101 Batch=179, step=22980, lr=0.104500, batch loss=0.010627, epoch loss=0.017727 Batch=239, step=23040, lr=0.104250, batch loss=0.008619, epoch loss=0.026346 Batch=299, step=23100, lr=0.104000, batch loss=0.007261, epoch loss=0.033606 Batch=359, step=23160, lr=0.103750, batch loss=0.011944, epoch loss=0.045550 Batch=419, step=23220, lr=0.103500, batch loss=0.010694, epoch loss=0.056244 Batch=479, step=23280, lr=0.103250, batch loss=0.002483, epoch loss=0.058727 Batch=539, step=23340, lr=0.103000, batch loss=0.017058, epoch loss=0.075785 Batch=599, step=23400, lr=0.102750, batch loss=0.013933, epoch loss=0.089718 Batch=659, step=23460, lr=0.102500, batch loss=0.010565, epoch loss=0.100283 Batch=719, step=23520, lr=0.102250, batch loss=0.014667, epoch loss=0.114949 Batch=779, step=23580, lr=0.102000, batch loss=0.022357, epoch loss=0.137306 Batch=839, step=23640, lr=0.101750, batch loss=0.024910, epoch loss=0.162216 Batch=899, step=23700, lr=0.101500, batch loss=0.023441, epoch loss=0.185657 Batch=959, step=23760, lr=0.101000, batch loss=0.008782, epoch loss=0.194438 Batch=1019, step=23820, lr=0.101000, batch loss=0.008033, epoch loss=0.202471 Batch=1079, step=23880, lr=0.100750, batch loss=0.000924, epoch loss=0.203395 Batch=1139, step=23940, lr=0.100500, batch loss=0.009307, epoch loss=0.212702 Batch=1199, step=24000, lr=0.100250, batch loss=0.004953, epoch loss=0.217656 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217656 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 2025-05-24 14:04.27: Job failed: Failed: Build failed