2025-06-05 13:22.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (12bc3d565917e3fd58e02b846b19d1bac90a0ae3) (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 12bc3d56 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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && 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 2025-06-05 13:22.24: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-06-05 13:22.24: 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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && 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")) ) 2025-06-05 13:22.24: Waiting for resource in pool OCluster 2025-06-05 13:22.25: Waiting for worker… 2025-06-05 13:29.30: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at 24ee10fe Support padding via pre-padded ndarrays (my idea, Claude's code) HEAD is now at 12bc3d56 Factor out dim_solved, bug fix s_dim_one, formatting (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) 2025-06-05 13:29.33 ---> using "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" from cache /: (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")) 2025-06-05 13:29.33 ---> using "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-05 13:29.33 ---> using "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" from cache /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 2025-06-05 13:29.33 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-05 13:29.33 ---> using "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..fc511aa5a8 master -> origin/master 5d2fb3923b Merge pull request #27963 from mseri/base-ppxlib <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:29.33 ---> using "2c2937bb61ee4945bc26919dfda599581b8aab6f932dbd9a2a5f788af6445b4a" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-05 13:29.33 ---> using "980326f3a3fc38275c71c92c732100c395cb7c85121009832dbec0c5058b7894" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-06-05 13:29.33 ---> using "14949d1e0a2411fa2e3fdc9e1e44354458b4b582f065a09e835c07778c98c147" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-05 13:29.33 ---> using "1fa7abecb35ff2f6ef052a9fedadfdd42d437edfdd1b084b45c085095db023d2" from cache /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 "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 (20.6 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-06-05 13:29.33 ---> using "17de310e3da47c60f6bb28384209e531ae673eea554ecec3b62b0824e3c850dc" from cache /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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (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 integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (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 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 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 dune.3.19.0, dune-configurator.3.19.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> 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 csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed result.1.5 -> installed cppo.1.8.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> 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 mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> 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_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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:29.33 ---> using "238038cf0f3be334a87900d81da5fffacc8a03c3290a457c001d91f7e5a8c7d5" from cache /src: (copy (src .) (dst /src)) 2025-06-05 13:29.34 ---> saved as "afd7da78f254cf84eb516899cac1f0ae2e03bcafec12c12f873290434e606582" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (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/4cf8a4652274b474a5e5715989478482/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/885cdcdcc15d49e5d48b2a8405581307/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4cf8a4652274b474a5e5715989478482/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/4cf8a4652274b474a5e5715989478482/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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.199000, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198500, batch loss=1.328603, epoch loss=38.400457 Batch=419, step=420, lr=0.198250, batch loss=0.620236, epoch loss=39.020693 Batch=479, step=480, lr=0.198250, batch loss=0.819473, epoch loss=39.840166 Batch=539, step=540, lr=0.197750, batch loss=0.696158, epoch loss=40.536324 Batch=599, step=600, lr=0.197750, batch loss=1.059552, epoch loss=41.595877 Batch=659, step=660, lr=0.197500, batch loss=0.484833, epoch loss=42.080710 Batch=719, step=720, lr=0.197250, batch loss=0.412374, epoch loss=42.493084 Batch=779, step=780, lr=0.197000, batch loss=0.472200, epoch loss=42.965284 Batch=839, step=840, lr=0.196750, batch loss=0.448847, epoch loss=43.414130 Batch=899, step=900, lr=0.196500, batch loss=0.387581, epoch loss=43.801712 Batch=959, step=960, lr=0.196250, batch loss=0.252829, epoch loss=44.054540 Batch=1019, step=1020, lr=0.196000, batch loss=0.478540, epoch loss=44.533080 Batch=1079, step=1080, lr=0.195750, batch loss=0.261574, epoch loss=44.794654 Batch=1139, step=1140, lr=0.195250, batch loss=0.341790, epoch loss=45.136444 Batch=1199, step=1200, lr=0.195250, batch loss=0.265764, epoch loss=45.402208 Epoch=0, step=1200, lr=0.195250, epoch loss=45.402208 Batch=59, step=1260, lr=0.195000, batch loss=0.265154, epoch loss=0.265154 Batch=119, step=1320, lr=0.194750, batch loss=0.203773, epoch loss=0.468927 Batch=179, step=1380, lr=0.194500, batch loss=0.246724, epoch loss=0.715651 Batch=239, step=1440, lr=0.194250, batch loss=0.348754, epoch loss=1.064405 Batch=299, step=1500, lr=0.194000, batch loss=0.241750, epoch loss=1.306155 Batch=359, step=1560, lr=0.193750, batch loss=0.314799, epoch loss=1.620954 Batch=419, step=1620, lr=0.193500, batch loss=0.311107, epoch loss=1.932061 Batch=479, step=1680, lr=0.193250, batch loss=0.275841, epoch loss=2.207902 Batch=539, step=1740, lr=0.193000, batch loss=0.211749, epoch loss=2.419652 Batch=599, step=1800, lr=0.192750, batch loss=0.259968, epoch loss=2.679620 Batch=659, step=1860, lr=0.192500, batch loss=0.377682, epoch loss=3.057302 Batch=719, step=1920, lr=0.192250, batch loss=0.359850, epoch loss=3.417152 Batch=779, step=1980, lr=0.192000, batch loss=0.387345, epoch loss=3.804497 Batch=839, step=2040, lr=0.191750, batch loss=0.348907, epoch loss=4.153405 Batch=899, step=2100, lr=0.191500, batch loss=0.325842, epoch loss=4.479247 Batch=959, step=2160, lr=0.191250, batch loss=0.252177, epoch loss=4.731424 Batch=1019, step=2220, lr=0.191000, batch loss=0.387821, epoch loss=5.119245 Batch=1079, step=2280, lr=0.190750, batch loss=0.206980, epoch loss=5.326225 Batch=1139, step=2340, lr=0.190500, batch loss=0.258893, epoch loss=5.585119 Batch=1199, step=2400, lr=0.190250, batch loss=0.212449, epoch loss=5.797567 Epoch=1, step=2400, lr=0.190250, epoch loss=5.797567 Batch=59, step=2460, lr=0.190000, batch loss=0.235335, epoch loss=0.235335 Batch=119, step=2520, lr=0.189750, batch loss=0.196060, epoch loss=0.431395 Batch=179, step=2580, lr=0.189500, batch loss=0.222171, epoch loss=0.653566 Batch=239, step=2640, lr=0.189250, batch loss=0.329742, epoch loss=0.983307 Batch=299, step=2700, lr=0.189000, batch loss=0.206878, epoch loss=1.190185 Batch=359, step=2760, lr=0.188750, batch loss=0.292535, epoch loss=1.482720 Batch=419, step=2820, lr=0.188500, batch loss=0.282789, epoch loss=1.765509 Batch=479, step=2880, lr=0.188250, batch loss=0.262612, epoch loss=2.028121 Batch=539, step=2940, lr=0.188000, batch loss=0.198580, epoch loss=2.226700 Batch=599, step=3000, lr=0.187750, batch loss=0.238852, epoch loss=2.465553 Batch=659, step=3060, lr=0.187500, batch loss=0.342998, epoch loss=2.808551 Batch=719, step=3120, lr=0.187250, batch loss=0.343630, epoch loss=3.152181 Batch=779, step=3180, lr=0.187000, batch loss=0.367075, epoch loss=3.519256 Batch=839, step=3240, lr=0.186750, batch loss=0.323902, epoch loss=3.843158 Batch=899, step=3300, lr=0.186500, batch loss=0.287696, epoch loss=4.130854 Batch=959, step=3360, lr=0.186250, batch loss=0.212112, epoch loss=4.342965 Batch=1019, step=3420, lr=0.186000, batch loss=0.307240, epoch loss=4.650206 Batch=1079, step=3480, lr=0.185750, batch loss=0.175831, epoch loss=4.826037 Batch=1139, step=3540, lr=0.185500, batch loss=0.236428, epoch loss=5.062465 Batch=1199, step=3600, lr=0.185250, batch loss=0.199018, epoch loss=5.261483 Epoch=2, step=3600, lr=0.185250, epoch loss=5.261483 Batch=59, step=3660, lr=0.184750, batch loss=0.226558, epoch loss=0.226558 Batch=119, step=3720, lr=0.184750, batch loss=0.192501, epoch loss=0.419058 Batch=179, step=3780, lr=0.184500, batch loss=0.211520, epoch loss=0.630578 Batch=239, step=3840, lr=0.184250, batch loss=0.317659, epoch loss=0.948237 Batch=299, step=3900, lr=0.184000, batch loss=0.208209, epoch loss=1.156447 Batch=359, step=3960, lr=0.183500, batch loss=0.286485, epoch loss=1.442931 Batch=419, step=4020, lr=0.183500, batch loss=0.280724, epoch loss=1.723655 Batch=479, step=4080, lr=0.183250, batch loss=0.254093, epoch loss=1.977748 Batch=539, step=4140, lr=0.183000, batch loss=0.196863, epoch loss=2.174611 Batch=599, step=4200, lr=0.182750, batch loss=0.239886, epoch loss=2.414497 Batch=659, step=4260, lr=0.182500, batch loss=0.329870, epoch loss=2.744367 Batch=719, step=4320, lr=0.182250, batch loss=0.341874, epoch loss=3.086241 Batch=779, step=4380, lr=0.182000, batch loss=0.348340, epoch loss=3.434581 Batch=839, step=4440, lr=0.181750, batch loss=0.319385, epoch loss=3.753967 Batch=899, step=4500, lr=0.181500, batch loss=0.289172, epoch loss=4.043139 Batch=959, step=4560, lr=0.181250, batch loss=0.243971, epoch loss=4.287109 Batch=1019, step=4620, lr=0.181000, batch loss=0.348642, epoch loss=4.635751 Batch=1079, step=4680, lr=0.180750, batch loss=0.214698, epoch loss=4.850450 Batch=1139, step=4740, lr=0.180500, batch loss=0.251909, epoch loss=5.102358 Batch=1199, step=4800, lr=0.180250, batch loss=0.191914, epoch loss=5.294273 Epoch=3, step=4800, lr=0.180250, epoch loss=5.294273 Batch=59, step=4860, lr=0.180000, batch loss=0.228411, epoch loss=0.228411 Batch=119, step=4920, lr=0.179750, batch loss=0.189203, epoch loss=0.417613 Batch=179, step=4980, lr=0.179250, batch loss=0.206521, epoch loss=0.624134 Batch=239, step=5040, lr=0.179250, batch loss=0.309329, epoch loss=0.933463 Batch=299, step=5100, lr=0.179000, batch loss=0.205534, epoch loss=1.138997 Batch=359, step=5160, lr=0.178750, batch loss=0.270951, epoch loss=1.409948 Batch=419, step=5220, lr=0.178500, batch loss=0.264761, epoch loss=1.674709 Batch=479, step=5280, lr=0.178250, batch loss=0.240008, epoch loss=1.914717 Batch=539, step=5340, lr=0.178000, batch loss=0.192116, epoch loss=2.106833 Batch=599, step=5400, lr=0.177750, batch loss=0.228576, epoch loss=2.335409 Batch=659, step=5460, lr=0.177500, batch loss=0.325875, epoch loss=2.661285 Batch=719, step=5520, lr=0.177250, batch loss=0.331434, epoch loss=2.992719 Batch=779, step=5580, lr=0.177000, batch loss=0.343682, epoch loss=3.336401 Batch=839, step=5640, lr=0.176750, batch loss=0.308034, epoch loss=3.644435 Batch=899, step=5700, lr=0.176250, batch loss=0.272112, epoch loss=3.916547 Batch=959, step=5760, lr=0.176250, batch loss=0.214973, epoch loss=4.131520 Batch=1019, step=5820, lr=0.176000, batch loss=0.339801, epoch loss=4.471321 Batch=1079, step=5880, lr=0.175500, batch loss=0.203922, epoch loss=4.675243 Batch=1139, step=5940, lr=0.175250, batch loss=0.240963, epoch loss=4.916206 Batch=1199, step=6000, lr=0.175250, batch loss=0.187658, epoch loss=5.103864 Epoch=4, step=6000, lr=0.175250, epoch loss=5.103864 Batch=59, step=6060, lr=0.175000, batch loss=0.231915, epoch loss=0.231915 Batch=119, step=6120, lr=0.174750, batch loss=0.192553, epoch loss=0.424468 Batch=179, step=6180, lr=0.174500, batch loss=0.200921, epoch loss=0.625388 Batch=239, step=6240, lr=0.174250, batch loss=0.299152, epoch loss=0.924541 Batch=299, step=6300, lr=0.174000, batch loss=0.206568, epoch loss=1.131108 Batch=359, step=6360, lr=0.173500, batch loss=0.266375, epoch loss=1.397483 Batch=419, step=6420, lr=0.173500, batch loss=0.266401, epoch loss=1.663884 Batch=479, step=6480, lr=0.173000, batch loss=0.241702, epoch loss=1.905586 Batch=539, step=6540, lr=0.173000, batch loss=0.195055, epoch loss=2.100640 Batch=599, step=6600, lr=0.172750, batch loss=0.232968, epoch loss=2.333608 Batch=659, step=6660, lr=0.172500, batch loss=0.312895, epoch loss=2.646504 Batch=719, step=6720, lr=0.172250, batch loss=0.318770, epoch loss=2.965273 Batch=779, step=6780, lr=0.172000, batch loss=0.335294, epoch loss=3.300568 Batch=839, step=6840, lr=0.171750, batch loss=0.302840, epoch loss=3.603407 Batch=899, step=6900, lr=0.171500, batch loss=0.267880, epoch loss=3.871287 Batch=959, step=6960, lr=0.171250, batch loss=0.210379, epoch loss=4.081666 Batch=1019, step=7020, lr=0.171000, batch loss=0.324509, epoch loss=4.406175 Batch=1079, step=7080, lr=0.170750, batch loss=0.175165, epoch loss=4.581340 Batch=1139, step=7140, lr=0.170500, batch loss=0.212628, epoch loss=4.793969 Batch=1199, step=7200, lr=0.170250, batch loss=0.190698, epoch loss=4.984667 Epoch=5, step=7200, lr=0.170250, epoch loss=4.984667 Batch=59, step=7260, lr=0.169750, batch loss=0.223428, epoch loss=0.223428 Batch=119, step=7320, lr=0.169750, batch loss=0.190240, epoch loss=0.413669 Batch=179, step=7380, lr=0.169500, batch loss=0.194365, epoch loss=0.608034 Batch=239, step=7440, lr=0.169250, batch loss=0.289822, epoch loss=0.897856 Batch=299, step=7500, lr=0.169000, batch loss=0.209069, epoch loss=1.106925 Batch=359, step=7560, lr=0.168750, batch loss=0.259386, epoch loss=1.366311 Batch=419, step=7620, lr=0.168500, batch loss=0.254642, epoch loss=1.620953 Batch=479, step=7680, lr=0.168250, batch loss=0.237432, epoch loss=1.858385 Batch=539, step=7740, lr=0.168000, batch loss=0.186611, epoch loss=2.044996 Batch=599, step=7800, lr=0.167750, batch loss=0.226235, epoch loss=2.271230 Batch=659, step=7860, lr=0.167500, batch loss=0.304191, epoch loss=2.575421 Batch=719, step=7920, lr=0.167000, batch loss=0.306661, epoch loss=2.882082 Batch=779, step=7980, lr=0.167000, batch loss=0.320286, epoch loss=3.202368 Batch=839, step=8040, lr=0.166750, batch loss=0.295761, epoch loss=3.498129 Batch=899, step=8100, lr=0.166500, batch loss=0.258547, epoch loss=3.756676 Batch=959, step=8160, lr=0.166250, batch loss=0.208754, epoch loss=3.965430 Batch=1019, step=8220, lr=0.166000, batch loss=0.314405, epoch loss=4.279835 Batch=1079, step=8280, lr=0.165750, batch loss=0.173310, epoch loss=4.453145 Batch=1139, step=8340, lr=0.165500, batch loss=0.207956, epoch loss=4.661101 Batch=1199, step=8400, lr=0.165250, batch loss=0.176369, epoch loss=4.837470 Epoch=6, step=8400, lr=0.165250, epoch loss=4.837470 Batch=59, step=8460, lr=0.165000, batch loss=0.223020, epoch loss=0.223020 Batch=119, step=8520, lr=0.164750, batch loss=0.177290, epoch loss=0.400311 Batch=179, step=8580, lr=0.164500, batch loss=0.187479, epoch loss=0.587790 Batch=239, step=8640, lr=0.164250, batch loss=0.276424, epoch loss=0.864213 Batch=299, step=8700, lr=0.164000, batch loss=0.191278, epoch loss=1.055491 Batch=359, step=8760, lr=0.163750, batch loss=0.247651, epoch loss=1.303143 Batch=419, step=8820, lr=0.163500, batch loss=0.244387, epoch loss=1.547530 Batch=479, step=8880, lr=0.163250, batch loss=0.227590, epoch loss=1.775120 Batch=539, step=8940, lr=0.163000, batch loss=0.178345, epoch loss=1.953465 Batch=599, step=9000, lr=0.162750, batch loss=0.216831, epoch loss=2.170297 Batch=659, step=9060, lr=0.162500, batch loss=0.293321, epoch loss=2.463617 Batch=719, step=9120, lr=0.162250, batch loss=0.293448, epoch loss=2.757065 Batch=779, step=9180, lr=0.162000, batch loss=0.314556, epoch loss=3.071622 Batch=839, step=9240, lr=0.161750, batch loss=0.286175, epoch loss=3.357797 Batch=899, step=9300, lr=0.161500, batch loss=0.250822, epoch loss=3.608618 Batch=959, step=9360, lr=0.161250, batch loss=0.189956, epoch loss=3.798574 Batch=1019, step=9420, lr=0.161000, batch loss=0.316452, epoch loss=4.115027 Batch=1079, step=9480, lr=0.160750, batch loss=0.199242, epoch loss=4.314269 Batch=1139, step=9540, lr=0.160500, batch loss=0.211200, epoch loss=4.525469 Batch=1199, step=9600, lr=0.160250, batch loss=0.166883, epoch loss=4.692351 Epoch=7, step=9600, lr=0.160250, epoch loss=4.692351 Batch=59, step=9660, lr=0.160000, batch loss=0.199140, epoch loss=0.199140 Batch=119, step=9720, lr=0.159750, batch loss=0.163074, epoch loss=0.362214 Batch=179, step=9780, lr=0.159500, batch loss=0.177665, epoch loss=0.539878 Batch=239, step=9840, lr=0.159250, batch loss=0.261445, epoch loss=0.801323 Batch=299, step=9900, lr=0.159000, batch loss=0.181611, epoch loss=0.982934 Batch=359, step=9960, lr=0.158750, batch loss=0.239464, epoch loss=1.222399 Batch=419, step=10020, lr=0.158500, batch loss=0.230806, epoch loss=1.453205 Batch=479, step=10080, lr=0.158250, batch loss=0.213635, epoch loss=1.666839 Batch=539, step=10140, lr=0.158000, batch loss=0.169608, epoch loss=1.836448 Batch=599, step=10200, lr=0.157500, batch loss=0.201878, epoch loss=2.038325 Batch=659, step=10260, lr=0.157500, batch loss=0.279884, epoch loss=2.318209 Batch=719, step=10320, lr=0.157250, batch loss=0.277743, epoch loss=2.595953 Batch=779, step=10380, lr=0.157000, batch loss=0.296843, epoch loss=2.892796 Batch=839, step=10440, lr=0.156750, batch loss=0.270748, epoch loss=3.163544 Batch=899, step=10500, lr=0.156500, batch loss=0.237271, epoch loss=3.400815 Batch=959, step=10560, lr=0.156250, batch loss=0.199404, epoch loss=3.600219 Batch=1019, step=10620, lr=0.156000, batch loss=0.277673, epoch loss=3.877892 Batch=1079, step=10680, lr=0.155750, batch loss=0.152938, epoch loss=4.030830 Batch=1139, step=10740, lr=0.155500, batch loss=0.186289, epoch loss=4.217119 Batch=1199, step=10800, lr=0.155250, batch loss=0.154122, epoch loss=4.371241 Epoch=8, step=10800, lr=0.155250, epoch loss=4.371241 Batch=59, step=10860, lr=0.154750, batch loss=0.173648, epoch loss=0.173648 Batch=119, step=10920, lr=0.154750, batch loss=0.142660, epoch loss=0.316308 Batch=179, step=10980, lr=0.154500, batch loss=0.163998, epoch loss=0.480305 Batch=239, step=11040, lr=0.154250, batch loss=0.238883, epoch loss=0.719188 Batch=299, step=11100, lr=0.154000, batch loss=0.172715, epoch loss=0.891904 Batch=359, step=11160, lr=0.153750, batch loss=0.221037, epoch loss=1.112941 Batch=419, step=11220, lr=0.153500, batch loss=0.222984, epoch loss=1.335925 Batch=479, step=11280, lr=0.153250, batch loss=0.207134, epoch loss=1.543059 Batch=539, step=11340, lr=0.153000, batch loss=0.161826, epoch loss=1.704885 Batch=599, step=11400, lr=0.152750, batch loss=0.181515, epoch loss=1.886400 Batch=659, step=11460, lr=0.152500, batch loss=0.264288, epoch loss=2.150688 Batch=719, step=11520, lr=0.152250, batch loss=0.249617, epoch loss=2.400305 Batch=779, step=11580, lr=0.152000, batch loss=0.270065, epoch loss=2.670370 Batch=839, step=11640, lr=0.151750, batch loss=0.253420, epoch loss=2.923790 Batch=899, step=11700, lr=0.151500, batch loss=0.217187, epoch loss=3.140977 Batch=959, step=11760, lr=0.151250, batch loss=0.180508, epoch loss=3.321486 Batch=1019, step=11820, lr=0.151000, batch loss=0.264060, epoch loss=3.585546 Batch=1079, step=11880, lr=0.150750, batch loss=0.153729, epoch loss=3.739276 Batch=1139, step=11940, lr=0.150500, batch loss=0.192475, epoch loss=3.931750 Batch=1199, step=12000, lr=0.150250, batch loss=0.138872, epoch loss=4.070623 Epoch=9, step=12000, lr=0.150250, epoch loss=4.070623 Batch=59, step=12060, lr=0.150000, batch loss=0.156560, epoch loss=0.156560 Batch=119, step=12120, lr=0.149750, batch loss=0.127080, epoch loss=0.283640 Batch=179, step=12180, lr=0.149500, batch loss=0.149203, epoch loss=0.432843 Batch=239, step=12240, lr=0.149250, batch loss=0.217782, epoch loss=0.650624 Batch=299, step=12300, lr=0.149000, batch loss=0.139253, epoch loss=0.789877 Batch=359, step=12360, lr=0.148750, batch loss=0.194897, epoch loss=0.984774 Batch=419, step=12420, lr=0.148500, batch loss=0.204177, epoch loss=1.188952 Batch=479, step=12480, lr=0.148250, batch loss=0.178704, epoch loss=1.367656 Batch=539, step=12540, lr=0.148000, batch loss=0.141072, epoch loss=1.508728 Batch=599, step=12600, lr=0.147750, batch loss=0.150291, epoch loss=1.659019 Batch=659, step=12660, lr=0.147500, batch loss=0.222602, epoch loss=1.881620 Batch=719, step=12720, lr=0.147250, batch loss=0.231552, epoch loss=2.113173 Batch=779, step=12780, lr=0.147000, batch loss=0.252495, epoch loss=2.365668 Batch=839, step=12840, lr=0.146750, batch loss=0.229515, epoch loss=2.595182 Batch=899, step=12900, lr=0.146500, batch loss=0.209955, epoch loss=2.805138 Batch=959, step=12960, lr=0.146250, batch loss=0.157251, epoch loss=2.962389 Batch=1019, step=13020, lr=0.146000, batch loss=0.257415, epoch loss=3.219804 Batch=1079, step=13080, lr=0.145750, batch loss=0.114885, epoch loss=3.334689 Batch=1139, step=13140, lr=0.145500, batch loss=0.152470, epoch loss=3.487159 Batch=1199, step=13200, lr=0.145250, batch loss=0.116191, epoch loss=3.603351 Epoch=10, step=13200, lr=0.145250, epoch loss=3.603351 Batch=59, step=13260, lr=0.145000, batch loss=0.143635, epoch loss=0.143635 Batch=119, step=13320, lr=0.144750, batch loss=0.124341, epoch loss=0.267976 Batch=179, step=13380, lr=0.144500, batch loss=0.129000, epoch loss=0.396976 Batch=239, step=13440, lr=0.144250, batch loss=0.190463, epoch loss=0.587439 Batch=299, step=13500, lr=0.144000, batch loss=0.116680, epoch loss=0.704119 Batch=359, step=13560, lr=0.143750, batch loss=0.156379, epoch loss=0.860498 Batch=419, step=13620, lr=0.143500, batch loss=0.155776, epoch loss=1.016274 Batch=479, step=13680, lr=0.143250, batch loss=0.148837, epoch loss=1.165111 Batch=539, step=13740, lr=0.143000, batch loss=0.116283, epoch loss=1.281394 Batch=599, step=13800, lr=0.142750, batch loss=0.119273, epoch loss=1.400667 Batch=659, step=13860, lr=0.142500, batch loss=0.174914, epoch loss=1.575581 Batch=719, step=13920, lr=0.142250, batch loss=0.171807, epoch loss=1.747388 Batch=779, step=13980, lr=0.142000, batch loss=0.195667, epoch loss=1.943055 Batch=839, step=14040, lr=0.141750, batch loss=0.201569, epoch loss=2.144624 Batch=899, step=14100, lr=0.141500, batch loss=0.223031, epoch loss=2.367655 Batch=959, step=14160, lr=0.141250, batch loss=0.097929, epoch loss=2.465584 Batch=1019, step=14220, lr=0.141000, batch loss=0.199567, epoch loss=2.665151 Batch=1079, step=14280, lr=0.140750, batch loss=0.074717, epoch loss=2.739869 Batch=1139, step=14340, lr=0.140500, batch loss=0.114477, epoch loss=2.854346 Batch=1199, step=14400, lr=0.140250, batch loss=0.083076, epoch loss=2.937422 Epoch=11, step=14400, lr=0.140250, epoch loss=2.937422 Batch=59, step=14460, lr=0.140000, batch loss=0.107841, epoch loss=0.107841 Batch=119, step=14520, lr=0.139750, batch loss=0.110886, epoch loss=0.218727 Batch=179, step=14580, lr=0.139500, batch loss=0.100650, epoch loss=0.319377 Batch=239, step=14640, lr=0.139250, batch loss=0.138166, epoch loss=0.457543 Batch=299, step=14700, lr=0.139000, batch loss=0.076114, epoch loss=0.533657 Batch=359, step=14760, lr=0.138750, batch loss=0.117887, epoch loss=0.651544 Batch=419, step=14820, lr=0.138500, batch loss=0.130524, epoch loss=0.782068 Batch=479, step=14880, lr=0.138250, batch loss=0.097252, epoch loss=0.879320 Batch=539, step=14940, lr=0.138000, batch loss=0.100488, epoch loss=0.979808 Batch=599, step=15000, lr=0.137750, batch loss=0.081792, epoch loss=1.061600 Batch=659, step=15060, lr=0.137250, batch loss=0.122515, epoch loss=1.184114 Batch=719, step=15120, lr=0.137250, batch loss=0.125245, epoch loss=1.309360 Batch=779, step=15180, lr=0.136750, batch loss=0.148347, epoch loss=1.457707 Batch=839, step=15240, lr=0.136500, batch loss=0.174503, epoch loss=1.632210 Batch=899, step=15300, lr=0.136500, batch loss=0.302307, epoch loss=1.934517 Batch=959, step=15360, lr=0.136000, batch loss=0.055324, epoch loss=1.989840 Batch=1019, step=15420, lr=0.135750, batch loss=0.140231, epoch loss=2.130071 Batch=1079, step=15480, lr=0.135750, batch loss=0.042116, epoch loss=2.172187 Batch=1139, step=15540, lr=0.135500, batch loss=0.092614, epoch loss=2.264802 Batch=1199, step=15600, lr=0.135250, batch loss=0.057561, epoch loss=2.322363 Epoch=12, step=15600, lr=0.135250, epoch loss=2.322363 Batch=59, step=15660, lr=0.134750, batch loss=0.076252, epoch loss=0.076252 Batch=119, step=15720, lr=0.134500, batch loss=0.119039, epoch loss=0.195291 Batch=179, step=15780, lr=0.134250, batch loss=0.091707, epoch loss=0.286998 Batch=239, step=15840, lr=0.134250, batch loss=0.094265, epoch loss=0.381263 Batch=299, step=15900, lr=0.134000, batch loss=0.038859, epoch loss=0.420123 Batch=359, step=15960, lr=0.133750, batch loss=0.082846, epoch loss=0.502968 Batch=419, step=16020, lr=0.133500, batch loss=0.076302, epoch loss=0.579270 Batch=479, step=16080, lr=0.133250, batch loss=0.053536, epoch loss=0.632806 Batch=539, step=16140, lr=0.133000, batch loss=0.077057, epoch loss=0.709863 Batch=599, step=16200, lr=0.132750, batch loss=0.170226, epoch loss=0.880089 Batch=659, step=16260, lr=0.132500, batch loss=0.096403, epoch loss=0.976492 Batch=719, step=16320, lr=0.132250, batch loss=0.123263, epoch loss=1.099754 Batch=779, step=16380, lr=0.132000, batch loss=0.284091, epoch loss=1.383845 Batch=839, step=16440, lr=0.131750, batch loss=0.092517, epoch loss=1.476362 Batch=899, step=16500, lr=0.131500, batch loss=0.083283, epoch loss=1.559645 Batch=959, step=16560, lr=0.131250, batch loss=0.031722, epoch loss=1.591367 Batch=1019, step=16620, lr=0.131000, batch loss=0.058492, epoch loss=1.649859 Batch=1079, step=16680, lr=0.130750, batch loss=0.058093, epoch loss=1.707951 Batch=1139, step=16740, lr=0.130500, batch loss=0.103340, epoch loss=1.811291 Batch=1199, step=16800, lr=0.130250, batch loss=0.049401, epoch loss=1.860692 Epoch=13, step=16800, lr=0.130250, epoch loss=1.860692 Batch=59, step=16860, lr=0.130000, batch loss=0.034320, epoch loss=0.034320 Batch=119, step=16920, lr=0.129750, batch loss=0.032457, epoch loss=0.066777 Batch=179, step=16980, lr=0.129500, batch loss=0.043601, epoch loss=0.110379 Batch=239, step=17040, lr=0.129250, batch loss=0.058463, epoch loss=0.168842 Batch=299, step=17100, lr=0.129000, batch loss=0.018211, epoch loss=0.187052 Batch=359, step=17160, lr=0.128750, batch loss=0.041377, epoch loss=0.228429 Batch=419, step=17220, lr=0.128500, batch loss=0.044666, epoch loss=0.273095 Batch=479, step=17280, lr=0.128250, batch loss=0.026783, epoch loss=0.299878 Batch=539, step=17340, lr=0.128000, batch loss=0.046666, epoch loss=0.346544 Batch=599, step=17400, lr=0.127750, batch loss=0.035063, epoch loss=0.381607 Batch=659, step=17460, lr=0.127500, batch loss=0.045265, epoch loss=0.426872 Batch=719, step=17520, lr=0.127000, batch loss=0.038821, epoch loss=0.465693 Batch=779, step=17580, lr=0.127000, batch loss=0.040474, epoch loss=0.506167 Batch=839, step=17640, lr=0.126750, batch loss=0.056255, epoch loss=0.562422 Batch=899, step=17700, lr=0.126500, batch loss=0.061128, epoch loss=0.623550 Batch=959, step=17760, lr=0.126250, batch loss=0.035764, epoch loss=0.659314 Batch=1019, step=17820, lr=0.126000, batch loss=0.081866, epoch loss=0.741180 Batch=1079, step=17880, lr=0.125500, batch loss=0.021098, epoch loss=0.762278 Batch=1139, step=17940, lr=0.125250, batch loss=0.050133, epoch loss=0.812410 Batch=1199, step=18000, lr=0.125000, batch loss=0.020830, epoch loss=0.833241 Epoch=14, step=18000, lr=0.125000, epoch loss=0.833241 Batch=59, step=18060, lr=0.125000, batch loss=0.011385, epoch loss=0.011385 Batch=119, step=18120, lr=0.124500, batch loss=0.019881, epoch loss=0.031266 Batch=179, step=18180, lr=0.124250, batch loss=0.030054, epoch loss=0.061320 Batch=239, step=18240, lr=0.124250, batch loss=0.039330, epoch loss=0.100649 Batch=299, step=18300, lr=0.124000, batch loss=0.021185, epoch loss=0.121835 Batch=359, step=18360, lr=0.123500, batch loss=0.023234, epoch loss=0.145069 Batch=419, step=18420, lr=0.123500, batch loss=0.029037, epoch loss=0.174106 Batch=479, step=18480, lr=0.123250, batch loss=0.020198, epoch loss=0.194304 Batch=539, step=18540, lr=0.123000, batch loss=0.048798, epoch loss=0.243102 Batch=599, step=18600, lr=0.122750, batch loss=0.026087, epoch loss=0.269189 Batch=659, step=18660, lr=0.122500, batch loss=0.032959, epoch loss=0.302149 Batch=719, step=18720, lr=0.122250, batch loss=0.039670, epoch loss=0.341818 Batch=779, step=18780, lr=0.122000, batch loss=0.126942, epoch loss=0.468761 Batch=839, step=18840, lr=0.121750, batch loss=0.054122, epoch loss=0.522883 Batch=899, step=18900, lr=0.121500, batch loss=0.054574, epoch loss=0.577457 Batch=959, step=18960, lr=0.121250, batch loss=0.014458, epoch loss=0.591915 Batch=1019, step=19020, lr=0.121000, batch loss=0.022754, epoch loss=0.614669 Batch=1079, step=19080, lr=0.120750, batch loss=0.008700, epoch loss=0.623369 Batch=1139, step=19140, lr=0.120500, batch loss=0.023719, epoch loss=0.647088 Batch=1199, step=19200, lr=0.120250, batch loss=0.009307, epoch loss=0.656395 Epoch=15, step=19200, lr=0.120250, epoch loss=0.656395 Batch=59, step=19260, lr=0.120000, batch loss=0.004333, epoch loss=0.004333 Batch=119, step=19320, lr=0.119750, batch loss=0.022765, epoch loss=0.027099 Batch=179, step=19380, lr=0.119500, batch loss=0.059034, epoch loss=0.086132 Batch=239, step=19440, lr=0.119250, batch loss=0.024077, epoch loss=0.110209 Batch=299, step=19500, lr=0.119000, batch loss=0.013466, epoch loss=0.123675 Batch=359, step=19560, lr=0.118750, batch loss=0.027555, epoch loss=0.151230 Batch=419, step=19620, lr=0.118500, batch loss=0.020167, epoch loss=0.171397 Batch=479, step=19680, lr=0.118250, batch loss=0.007104, epoch loss=0.178501 Batch=539, step=19740, lr=0.118000, batch loss=0.019095, epoch loss=0.197596 Batch=599, step=19800, lr=0.117750, batch loss=0.023732, epoch loss=0.221328 Batch=659, step=19860, lr=0.117500, batch loss=0.020597, epoch loss=0.241925 Batch=719, step=19920, lr=0.117000, batch loss=0.051728, epoch loss=0.293654 Batch=779, step=19980, lr=0.117000, batch loss=0.081470, epoch loss=0.375124 Batch=839, step=20040, lr=0.116750, batch loss=0.030262, epoch loss=0.405385 Batch=899, step=20100, lr=0.116500, batch loss=0.035925, epoch loss=0.441311 Batch=959, step=20160, lr=0.116250, batch loss=0.012121, epoch loss=0.453432 Batch=1019, step=20220, lr=0.116000, batch loss=0.015837, epoch loss=0.469269 Batch=1079, step=20280, lr=0.115750, batch loss=0.002399, epoch loss=0.471668 Batch=1139, step=20340, lr=0.115500, batch loss=0.014978, epoch loss=0.486646 Batch=1199, step=20400, lr=0.115250, batch loss=0.008203, epoch loss=0.494848 Epoch=16, step=20400, lr=0.115250, epoch loss=0.494848 Batch=59, step=20460, lr=0.115000, batch loss=0.004215, epoch loss=0.004215 Batch=119, step=20520, lr=0.114750, batch loss=0.011750, epoch loss=0.015965 Batch=179, step=20580, lr=0.114500, batch loss=0.024255, epoch loss=0.040219 Batch=239, step=20640, lr=0.114250, batch loss=0.014899, epoch loss=0.055118 Batch=299, step=20700, lr=0.114000, batch loss=0.002860, epoch loss=0.057978 Batch=359, step=20760, lr=0.113750, batch loss=0.013101, epoch loss=0.071080 Batch=419, step=20820, lr=0.113500, batch loss=0.014282, epoch loss=0.085361 Batch=479, step=20880, lr=0.113250, batch loss=0.005099, epoch loss=0.090461 Batch=539, step=20940, lr=0.112750, batch loss=0.015738, epoch loss=0.106198 Batch=599, step=21000, lr=0.112750, batch loss=0.018038, epoch loss=0.124237 Batch=659, step=21060, lr=0.112500, batch loss=0.016290, epoch loss=0.140527 Batch=719, step=21120, lr=0.112250, batch loss=0.037676, epoch loss=0.178203 Batch=779, step=21180, lr=0.111750, batch loss=0.066300, epoch loss=0.244503 Batch=839, step=21240, lr=0.111500, batch loss=0.024868, epoch loss=0.269371 Batch=899, step=21300, lr=0.111500, batch loss=0.026710, epoch loss=0.296081 Batch=959, step=21360, lr=0.111000, batch loss=0.010258, epoch loss=0.306338 Batch=1019, step=21420, lr=0.110750, batch loss=0.010721, epoch loss=0.317059 Batch=1079, step=21480, lr=0.110500, batch loss=0.001668, epoch loss=0.318728 Batch=1139, step=21540, lr=0.110500, batch loss=0.012470, epoch loss=0.331198 Batch=1199, step=21600, lr=0.110250, batch loss=0.004972, epoch loss=0.336169 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336169 Batch=59, step=21660, lr=0.110000, batch loss=0.002603, epoch loss=0.002603 Batch=119, step=21720, lr=0.109500, batch loss=0.006452, epoch loss=0.009054 Batch=179, step=21780, lr=0.109500, batch loss=0.012480, epoch loss=0.021534 Batch=239, step=21840, lr=0.109250, batch loss=0.009099, epoch loss=0.030633 Batch=299, step=21900, lr=0.109000, batch loss=0.003619, epoch loss=0.034253 Batch=359, step=21960, lr=0.108750, batch loss=0.014684, epoch loss=0.048937 Batch=419, step=22020, lr=0.108500, batch loss=0.012107, epoch loss=0.061043 Batch=479, step=22080, lr=0.108250, batch loss=0.003361, epoch loss=0.064405 Batch=539, step=22140, lr=0.108000, batch loss=0.018054, epoch loss=0.082459 Batch=599, step=22200, lr=0.107750, batch loss=0.016706, epoch loss=0.099165 Batch=659, step=22260, lr=0.107500, batch loss=0.016008, epoch loss=0.115173 Batch=719, step=22320, lr=0.107250, batch loss=0.021308, epoch loss=0.136481 Batch=779, step=22380, lr=0.107000, batch loss=0.028992, epoch loss=0.165473 Batch=839, step=22440, lr=0.106750, batch loss=0.028813, epoch loss=0.194286 Batch=899, step=22500, lr=0.106500, batch loss=0.024174, epoch loss=0.218460 Batch=959, step=22560, lr=0.106250, batch loss=0.008820, epoch loss=0.227280 Batch=1019, step=22620, lr=0.106000, batch loss=0.007720, epoch loss=0.235000 Batch=1079, step=22680, lr=0.105750, batch loss=0.001471, epoch loss=0.236471 Batch=1139, step=22740, lr=0.105500, batch loss=0.010890, epoch loss=0.247360 Batch=1199, step=22800, lr=0.105250, batch loss=0.005050, epoch loss=0.252410 Epoch=18, step=22800, lr=0.105250, epoch loss=0.252410 Batch=59, step=22860, lr=0.105000, batch loss=0.002422, epoch loss=0.002422 Batch=119, step=22920, lr=0.104750, batch loss=0.004812, epoch loss=0.007234 Batch=179, step=22980, lr=0.104500, batch loss=0.012465, epoch loss=0.019699 Batch=239, step=23040, lr=0.104250, batch loss=0.008211, epoch loss=0.027909 Batch=299, step=23100, lr=0.104000, batch loss=0.009319, epoch loss=0.037229 Batch=359, step=23160, lr=0.103750, batch loss=0.011888, epoch loss=0.049117 Batch=419, step=23220, lr=0.103500, batch loss=0.010566, epoch loss=0.059684 Batch=479, step=23280, lr=0.103250, batch loss=0.003737, epoch loss=0.063421 Batch=539, step=23340, lr=0.103000, batch loss=0.015671, epoch loss=0.079091 Batch=599, step=23400, lr=0.102750, batch loss=0.013594, epoch loss=0.092685 Batch=659, step=23460, lr=0.102500, batch loss=0.011719, epoch loss=0.104405 Batch=719, step=23520, lr=0.102250, batch loss=0.010106, epoch loss=0.114511 Batch=779, step=23580, lr=0.102000, batch loss=0.017000, epoch loss=0.131511 Batch=839, step=23640, lr=0.101750, batch loss=0.027448, epoch loss=0.158959 Batch=899, step=23700, lr=0.101500, batch loss=0.020689, epoch loss=0.179648 Batch=959, step=23760, lr=0.101250, batch loss=0.007880, epoch loss=0.187527 Batch=1019, step=23820, lr=0.101000, batch loss=0.009295, epoch loss=0.196822 Batch=1079, step=23880, lr=0.100750, batch loss=0.001079, epoch loss=0.197902 Batch=1139, step=23940, lr=0.100500, batch loss=0.008531, epoch loss=0.206432 Batch=1199, step=24000, lr=0.100250, batch loss=0.004370, epoch loss=0.210803 Epoch=19, step=24000, lr=0.100250, epoch loss=0.210803 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │**********..................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-06-05 13:31.05: Job failed: Failed: Build failed