2025-05-30 12:20.44: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (032faccf8dc533dfc393bed0a591a35ed988bb71) (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 032faccf 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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-30 12:20.44: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-05-30 12:20.44: 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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-30 12:20.44: Waiting for resource in pool OCluster 2025-05-30 12:20.44: Waiting for worker… 2025-05-30 12:42.20: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at 95b436dd Metal logging expectation update HEAD is now at 032faccf Untested / broken: Claude's first pass at adding BF16, FP8, uint16, int32 (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) 2025-05-30 12:50.10 ---> 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")) 2025-05-30 12:50.12 ---> 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 2025-05-30 12:51.06 ---> saved as "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-30 12:51.07 ---> saved as "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-30 12:51.08 ---> saved as "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..edaf2946e3 master -> origin/master 0eea63ad71 Merge pull request #27946 from mtelvers/opam-publish-ocaml-version.4.0.1 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-30 12:52.02 ---> saved as "bca15f5bcb3bd3c9b54a67c9017e027df6612ad43511fc5354fd6a49fc37e3c3" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-30 12:52.03 ---> saved as "33ff84152a0e5b224c87d1933bb74a8a01f28b7c78b4dfd3f1c28f2b9bdf0093" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-30 12:52.22 ---> saved as "9832e7d9299daf486a7c69b61fd5be38f3fc63b57faeb73568dd9b26be25aca7" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-30 12:52.22 ---> saved as "8ca11d3740526edbbd9334d1f3f96af52a975ae420e6b67919572002349872f3" /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 (24.7 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-05-30 12:54.18 ---> saved as "b3c56f5e09f3a5d775981239b3117cac0b02e4aef29d68d072aedf89e47ebd39" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.19.0 - install dune-configurator 3.19.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.1 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved 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 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 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 ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed 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 result.1.5 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> 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 dune-configurator.3.19.0 -> installed parsexp.v0.17.0 -> 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 uucp.16.0.0 -> installed printbox-text.0.12 -> installed base.v0.17.2 -> installed printbox-md.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-30 12:56.33 ---> saved as "720694c2fe7b52e39e86043223b668bbc37a80f09e97808633429e341b20e234" /src: (copy (src .) (dst /src)) 2025-05-30 12:56.35 ---> saved as "3289014ba05cc4d5f4a1a57b8923b125f711f09b0688c3f7ceb18e7049949605" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89c43b4298eefa1c8bca446e4bd96009/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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/cdd9d4e5c04f00a4e47d0dcd3c2666c1/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934 Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198500, batch loss=1.338572, epoch loss=38.401458 Batch=419, step=420, lr=0.198500, batch loss=0.613153, epoch loss=39.014611 Batch=479, step=480, lr=0.198000, batch loss=0.796659, epoch loss=39.811270 Batch=539, step=540, lr=0.198000, batch loss=0.674909, epoch loss=40.486178 Batch=599, step=600, lr=0.197500, batch loss=1.091992, epoch loss=41.578170 Batch=659, step=660, lr=0.197250, batch loss=0.480742, epoch loss=42.058912 Batch=719, step=720, lr=0.197000, batch loss=0.410879, epoch loss=42.469790 Batch=779, step=780, lr=0.197000, batch loss=0.469726, epoch loss=42.939516 Batch=839, step=840, lr=0.196500, batch loss=0.449729, epoch loss=43.389244 Batch=899, step=900, lr=0.196500, batch loss=0.383251, epoch loss=43.772496 Batch=959, step=960, lr=0.196000, batch loss=0.252434, epoch loss=44.024930 Batch=1019, step=1020, lr=0.195750, batch loss=0.482879, epoch loss=44.507809 Batch=1079, step=1080, lr=0.195500, batch loss=0.267686, epoch loss=44.775495 Batch=1139, step=1140, lr=0.195250, batch loss=0.329224, epoch loss=45.104719 Batch=1199, step=1200, lr=0.195000, batch loss=0.263468, epoch loss=45.368186 Epoch=0, step=1200, lr=0.195000, epoch loss=45.368186 Batch=59, step=1260, lr=0.194750, batch loss=0.263833, epoch loss=0.263833 Batch=119, step=1320, lr=0.194500, batch loss=0.203854, epoch loss=0.467687 Batch=179, step=1380, lr=0.194250, batch loss=0.245203, epoch loss=0.712890 Batch=239, step=1440, lr=0.194000, batch loss=0.349224, epoch loss=1.062113 Batch=299, step=1500, lr=0.193750, batch loss=0.240359, epoch loss=1.302473 Batch=359, step=1560, lr=0.193750, batch loss=0.317909, epoch loss=1.620381 Batch=419, step=1620, lr=0.193250, batch loss=0.315131, epoch loss=1.935512 Batch=479, step=1680, lr=0.193250, batch loss=0.278781, epoch loss=2.214293 Batch=539, step=1740, lr=0.192750, batch loss=0.209032, epoch loss=2.423325 Batch=599, step=1800, lr=0.192750, batch loss=0.245034, epoch loss=2.668359 Batch=659, step=1860, lr=0.192250, batch loss=0.361575, epoch loss=3.029934 Batch=719, step=1920, lr=0.192000, batch loss=0.355690, epoch loss=3.385625 Batch=779, step=1980, lr=0.191750, batch loss=0.376765, epoch loss=3.762389 Batch=839, step=2040, lr=0.191500, batch loss=0.340349, epoch loss=4.102739 Batch=899, step=2100, lr=0.191250, batch loss=0.294963, epoch loss=4.397702 Batch=959, step=2160, lr=0.191250, batch loss=0.216725, epoch loss=4.614427 Batch=1019, step=2220, lr=0.191000, batch loss=0.324467, epoch loss=4.938894 Batch=1079, step=2280, lr=0.190500, batch loss=0.192381, epoch loss=5.131275 Batch=1139, step=2340, lr=0.190250, batch loss=0.256807, epoch loss=5.388082 Batch=1199, step=2400, lr=0.190000, batch loss=0.210578, epoch loss=5.598660 Epoch=1, step=2400, lr=0.190000, epoch loss=5.598660 Batch=59, step=2460, lr=0.190000, batch loss=0.229295, epoch loss=0.229295 Batch=119, step=2520, lr=0.189750, batch loss=0.198958, epoch loss=0.428253 Batch=179, step=2580, lr=0.189500, batch loss=0.219220, epoch loss=0.647473 Batch=239, step=2640, lr=0.189250, batch loss=0.327459, epoch loss=0.974932 Batch=299, step=2700, lr=0.189000, batch loss=0.206036, epoch loss=1.180968 Batch=359, step=2760, lr=0.188750, batch loss=0.290106, epoch loss=1.471074 Batch=419, step=2820, lr=0.188500, batch loss=0.281548, epoch loss=1.752623 Batch=479, step=2880, lr=0.188250, batch loss=0.256207, epoch loss=2.008830 Batch=539, step=2940, lr=0.188000, batch loss=0.195475, epoch loss=2.204305 Batch=599, step=3000, lr=0.187750, batch loss=0.243367, epoch loss=2.447672 Batch=659, step=3060, lr=0.187500, batch loss=0.346172, epoch loss=2.793844 Batch=719, step=3120, lr=0.187250, batch loss=0.347484, epoch loss=3.141327 Batch=779, step=3180, lr=0.187000, batch loss=0.365187, epoch loss=3.506515 Batch=839, step=3240, lr=0.186500, batch loss=0.323461, epoch loss=3.829976 Batch=899, step=3300, lr=0.186500, batch loss=0.288034, epoch loss=4.118010 Batch=959, step=3360, lr=0.186250, batch loss=0.212165, epoch loss=4.330175 Batch=1019, step=3420, lr=0.186000, batch loss=0.308200, epoch loss=4.638375 Batch=1079, step=3480, lr=0.185750, batch loss=0.186774, epoch loss=4.825149 Batch=1139, step=3540, lr=0.185500, batch loss=0.230927, epoch loss=5.056076 Batch=1199, step=3600, lr=0.185250, batch loss=0.198644, epoch loss=5.254720 Epoch=2, step=3600, lr=0.185250, epoch loss=5.254720 Batch=59, step=3660, lr=0.185000, batch loss=0.228282, epoch loss=0.228282 Batch=119, step=3720, lr=0.184500, batch loss=0.191987, epoch loss=0.420269 Batch=179, step=3780, lr=0.184500, batch loss=0.210641, epoch loss=0.630910 Batch=239, step=3840, lr=0.184250, batch loss=0.315445, epoch loss=0.946355 Batch=299, step=3900, lr=0.183750, batch loss=0.204500, epoch loss=1.150855 Batch=359, step=3960, lr=0.183750, batch loss=0.280792, epoch loss=1.431648 Batch=419, step=4020, lr=0.183500, batch loss=0.272907, epoch loss=1.704554 Batch=479, step=4080, lr=0.183250, batch loss=0.253346, epoch loss=1.957900 Batch=539, step=4140, lr=0.182750, batch loss=0.205177, epoch loss=2.163077 Batch=599, step=4200, lr=0.182750, batch loss=0.252484, epoch loss=2.415561 Batch=659, step=4260, lr=0.182500, batch loss=0.344715, epoch loss=2.760276 Batch=719, step=4320, lr=0.182000, batch loss=0.341314, epoch loss=3.101590 Batch=779, step=4380, lr=0.182000, batch loss=0.351133, epoch loss=3.452723 Batch=839, step=4440, lr=0.181750, batch loss=0.315947, epoch loss=3.768670 Batch=899, step=4500, lr=0.181250, batch loss=0.287622, epoch loss=4.056292 Batch=959, step=4560, lr=0.181000, batch loss=0.237324, epoch loss=4.293616 Batch=1019, step=4620, lr=0.181000, batch loss=0.337502, epoch loss=4.631118 Batch=1079, step=4680, lr=0.180500, batch loss=0.208573, epoch loss=4.839691 Batch=1139, step=4740, lr=0.180500, batch loss=0.252327, epoch loss=5.092018 Batch=1199, step=4800, lr=0.180000, batch loss=0.191103, epoch loss=5.283121 Epoch=3, step=4800, lr=0.180000, epoch loss=5.283121 Batch=59, step=4860, lr=0.180000, batch loss=0.225349, epoch loss=0.225349 Batch=119, step=4920, lr=0.179750, batch loss=0.186230, epoch loss=0.411578 Batch=179, step=4980, lr=0.179250, batch loss=0.205768, epoch loss=0.617346 Batch=239, step=5040, lr=0.179000, batch loss=0.308270, epoch loss=0.925616 Batch=299, step=5100, lr=0.178750, batch loss=0.208402, epoch loss=1.134018 Batch=359, step=5160, lr=0.178500, batch loss=0.274407, epoch loss=1.408425 Batch=419, step=5220, lr=0.178500, batch loss=0.268516, epoch loss=1.676941 Batch=479, step=5280, lr=0.178000, batch loss=0.252698, epoch loss=1.929639 Batch=539, step=5340, lr=0.177750, batch loss=0.192674, epoch loss=2.122313 Batch=599, step=5400, lr=0.177750, batch loss=0.238657, epoch loss=2.360970 Batch=659, step=5460, lr=0.177250, batch loss=0.320042, epoch loss=2.681013 Batch=719, step=5520, lr=0.177000, batch loss=0.324816, epoch loss=3.005828 Batch=779, step=5580, lr=0.177000, batch loss=0.344843, epoch loss=3.350671 Batch=839, step=5640, lr=0.176750, batch loss=0.307728, epoch loss=3.658400 Batch=899, step=5700, lr=0.176500, batch loss=0.272864, epoch loss=3.931264 Batch=959, step=5760, lr=0.176250, batch loss=0.215549, epoch loss=4.146813 Batch=1019, step=5820, lr=0.176000, batch loss=0.342402, epoch loss=4.489215 Batch=1079, step=5880, lr=0.175750, batch loss=0.209461, epoch loss=4.698676 Batch=1139, step=5940, lr=0.175500, batch loss=0.239178, epoch loss=4.937854 Batch=1199, step=6000, lr=0.175250, batch loss=0.187496, epoch loss=5.125349 Epoch=4, step=6000, lr=0.175250, epoch loss=5.125349 Batch=59, step=6060, lr=0.175000, batch loss=0.231064, epoch loss=0.231064 Batch=119, step=6120, lr=0.174750, batch loss=0.192908, epoch loss=0.423971 Batch=179, step=6180, lr=0.174500, batch loss=0.200869, epoch loss=0.624841 Batch=239, step=6240, lr=0.174250, batch loss=0.301830, epoch loss=0.926671 Batch=299, step=6300, lr=0.173750, batch loss=0.202268, epoch loss=1.128938 Batch=359, step=6360, lr=0.173750, batch loss=0.266682, epoch loss=1.395620 Batch=419, step=6420, lr=0.173250, batch loss=0.265289, epoch loss=1.660909 Batch=479, step=6480, lr=0.173250, batch loss=0.241405, epoch loss=1.902314 Batch=539, step=6540, lr=0.173000, batch loss=0.194243, epoch loss=2.096557 Batch=599, step=6600, lr=0.172750, batch loss=0.226647, epoch loss=2.323204 Batch=659, step=6660, lr=0.172500, batch loss=0.316112, epoch loss=2.639316 Batch=719, step=6720, lr=0.172250, batch loss=0.315527, epoch loss=2.954843 Batch=779, step=6780, lr=0.171750, batch loss=0.331237, epoch loss=3.286080 Batch=839, step=6840, lr=0.171500, batch loss=0.304619, epoch loss=3.590699 Batch=899, step=6900, lr=0.171250, batch loss=0.271559, epoch loss=3.862258 Batch=959, step=6960, lr=0.171000, batch loss=0.215947, epoch loss=4.078205 Batch=1019, step=7020, lr=0.170750, batch loss=0.326767, epoch loss=4.404972 Batch=1079, step=7080, lr=0.170500, batch loss=0.178733, epoch loss=4.583705 Batch=1139, step=7140, lr=0.170500, batch loss=0.214113, epoch loss=4.797818 Batch=1199, step=7200, lr=0.170000, batch loss=0.184227, epoch loss=4.982045 Epoch=5, step=7200, lr=0.170000, epoch loss=4.982045 Batch=59, step=7260, lr=0.170000, batch loss=0.237321, epoch loss=0.237321 Batch=119, step=7320, lr=0.169750, batch loss=0.181267, epoch loss=0.418589 Batch=179, step=7380, lr=0.169250, batch loss=0.194568, epoch loss=0.613157 Batch=239, step=7440, lr=0.169250, batch loss=0.288943, epoch loss=0.902099 Batch=299, step=7500, lr=0.169000, batch loss=0.206086, epoch loss=1.108185 Batch=359, step=7560, lr=0.168750, batch loss=0.261748, epoch loss=1.369934 Batch=419, step=7620, lr=0.168250, batch loss=0.254149, epoch loss=1.624082 Batch=479, step=7680, lr=0.168000, batch loss=0.237119, epoch loss=1.861201 Batch=539, step=7740, lr=0.167750, batch loss=0.185440, epoch loss=2.046641 Batch=599, step=7800, lr=0.167750, batch loss=0.226618, epoch loss=2.273259 Batch=659, step=7860, lr=0.167500, batch loss=0.304724, epoch loss=2.577983 Batch=719, step=7920, lr=0.167250, batch loss=0.307590, epoch loss=2.885574 Batch=779, step=7980, lr=0.167000, batch loss=0.329518, epoch loss=3.215092 Batch=839, step=8040, lr=0.166500, batch loss=0.291447, epoch loss=3.506539 Batch=899, step=8100, lr=0.166500, batch loss=0.263873, epoch loss=3.770412 Batch=959, step=8160, lr=0.166000, batch loss=0.208105, epoch loss=3.978517 Batch=1019, step=8220, lr=0.166000, batch loss=0.318556, epoch loss=4.297073 Batch=1079, step=8280, lr=0.165750, batch loss=0.193324, epoch loss=4.490397 Batch=1139, step=8340, lr=0.165500, batch loss=0.218017, epoch loss=4.708414 Batch=1199, step=8400, lr=0.165250, batch loss=0.172776, epoch loss=4.881189 Epoch=6, step=8400, lr=0.165250, epoch loss=4.881189 Batch=59, step=8460, lr=0.164750, batch loss=0.210256, epoch loss=0.210256 Batch=119, step=8520, lr=0.164750, batch loss=0.171816, epoch loss=0.382072 Batch=179, step=8580, lr=0.164500, batch loss=0.187129, epoch loss=0.569201 Batch=239, step=8640, lr=0.164250, batch loss=0.278393, epoch loss=0.847594 Batch=299, step=8700, lr=0.164000, batch loss=0.199335, epoch loss=1.046929 Batch=359, step=8760, lr=0.163750, batch loss=0.252133, epoch loss=1.299062 Batch=419, step=8820, lr=0.163500, batch loss=0.245569, epoch loss=1.544631 Batch=479, step=8880, lr=0.163000, batch loss=0.226938, epoch loss=1.771569 Batch=539, step=8940, lr=0.163000, batch loss=0.179131, epoch loss=1.950700 Batch=599, step=9000, lr=0.162500, batch loss=0.215714, epoch loss=2.166413 Batch=659, step=9060, lr=0.162500, batch loss=0.293005, epoch loss=2.459419 Batch=719, step=9120, lr=0.162000, batch loss=0.297139, epoch loss=2.756558 Batch=779, step=9180, lr=0.161750, batch loss=0.313870, epoch loss=3.070428 Batch=839, step=9240, lr=0.161750, batch loss=0.281315, epoch loss=3.351743 Batch=899, step=9300, lr=0.161250, batch loss=0.252613, epoch loss=3.604356 Batch=959, step=9360, lr=0.161000, batch loss=0.198274, epoch loss=3.802630 Batch=1019, step=9420, lr=0.160750, batch loss=0.309873, epoch loss=4.112503 Batch=1079, step=9480, lr=0.160750, batch loss=0.194940, epoch loss=4.307443 Batch=1139, step=9540, lr=0.160250, batch loss=0.208743, epoch loss=4.516186 Batch=1199, step=9600, lr=0.160250, batch loss=0.166026, epoch loss=4.682212 Epoch=7, step=9600, lr=0.160250, epoch loss=4.682212 Batch=59, step=9660, lr=0.160000, batch loss=0.194244, epoch loss=0.194244 Batch=119, step=9720, lr=0.159500, batch loss=0.167264, epoch loss=0.361508 Batch=179, step=9780, lr=0.159250, batch loss=0.179033, epoch loss=0.540540 Batch=239, step=9840, lr=0.159250, batch loss=0.263303, epoch loss=0.803843 Batch=299, step=9900, lr=0.158750, batch loss=0.179582, epoch loss=0.983425 Batch=359, step=9960, lr=0.158750, batch loss=0.241796, epoch loss=1.225221 Batch=419, step=10020, lr=0.158500, batch loss=0.235240, epoch loss=1.460461 Batch=479, step=10080, lr=0.158000, batch loss=0.220075, epoch loss=1.680536 Batch=539, step=10140, lr=0.157750, batch loss=0.164499, epoch loss=1.845035 Batch=599, step=10200, lr=0.157500, batch loss=0.194436, epoch loss=2.039471 Batch=659, step=10260, lr=0.157250, batch loss=0.283448, epoch loss=2.322919 Batch=719, step=10320, lr=0.157250, batch loss=0.281775, epoch loss=2.604694 Batch=779, step=10380, lr=0.157000, batch loss=0.296564, epoch loss=2.901258 Batch=839, step=10440, lr=0.156750, batch loss=0.270933, epoch loss=3.172191 Batch=899, step=10500, lr=0.156250, batch loss=0.237156, epoch loss=3.409347 Batch=959, step=10560, lr=0.156250, batch loss=0.176110, epoch loss=3.585458 Batch=1019, step=10620, lr=0.156000, batch loss=0.300738, epoch loss=3.886195 Batch=1079, step=10680, lr=0.155750, batch loss=0.175099, epoch loss=4.061295 Batch=1139, step=10740, lr=0.155500, batch loss=0.201509, epoch loss=4.262804 Batch=1199, step=10800, lr=0.155250, batch loss=0.155639, epoch loss=4.418443 Epoch=8, step=10800, lr=0.155250, epoch loss=4.418443 Batch=59, step=10860, lr=0.155000, batch loss=0.178186, epoch loss=0.178186 Batch=119, step=10920, lr=0.154500, batch loss=0.151781, epoch loss=0.329966 Batch=179, step=10980, lr=0.154500, batch loss=0.166666, epoch loss=0.496633 Batch=239, step=11040, lr=0.154250, batch loss=0.252039, epoch loss=0.748672 Batch=299, step=11100, lr=0.153750, batch loss=0.160426, epoch loss=0.909098 Batch=359, step=11160, lr=0.153500, batch loss=0.217451, epoch loss=1.126548 Batch=419, step=11220, lr=0.153250, batch loss=0.215980, epoch loss=1.342529 Batch=479, step=11280, lr=0.153250, batch loss=0.210895, epoch loss=1.553423 Batch=539, step=11340, lr=0.153000, batch loss=0.162409, epoch loss=1.715833 Batch=599, step=11400, lr=0.152500, batch loss=0.176956, epoch loss=1.892789 Batch=659, step=11460, lr=0.152250, batch loss=0.264644, epoch loss=2.157433 Batch=719, step=11520, lr=0.152000, batch loss=0.264580, epoch loss=2.422013 Batch=779, step=11580, lr=0.151750, batch loss=0.271643, epoch loss=2.693655 Batch=839, step=11640, lr=0.151750, batch loss=0.250721, epoch loss=2.944376 Batch=899, step=11700, lr=0.151500, batch loss=0.219290, epoch loss=3.163667 Batch=959, step=11760, lr=0.151250, batch loss=0.188184, epoch loss=3.351851 Batch=1019, step=11820, lr=0.150750, batch loss=0.290416, epoch loss=3.642267 Batch=1079, step=11880, lr=0.150500, batch loss=0.145992, epoch loss=3.788259 Batch=1139, step=11940, lr=0.150500, batch loss=0.180443, epoch loss=3.968702 Batch=1199, step=12000, lr=0.150000, batch loss=0.138917, epoch loss=4.107619 Epoch=9, step=12000, lr=0.150000, epoch loss=4.107619 Batch=59, step=12060, lr=0.150000, batch loss=0.158622, epoch loss=0.158622 Batch=119, step=12120, lr=0.149500, batch loss=0.128228, epoch loss=0.286850 Batch=179, step=12180, lr=0.149250, batch loss=0.152701, epoch loss=0.439552 Batch=239, step=12240, lr=0.149250, batch loss=0.220646, epoch loss=0.660197 Batch=299, step=12300, lr=0.148750, batch loss=0.144569, epoch loss=0.804766 Batch=359, step=12360, lr=0.148500, batch loss=0.194317, epoch loss=0.999084 Batch=419, step=12420, lr=0.148500, batch loss=0.207586, epoch loss=1.206670 Batch=479, step=12480, lr=0.148250, batch loss=0.177115, epoch loss=1.383785 Batch=539, step=12540, lr=0.148000, batch loss=0.143262, epoch loss=1.527048 Batch=599, step=12600, lr=0.147750, batch loss=0.149574, epoch loss=1.676621 Batch=659, step=12660, lr=0.147250, batch loss=0.225788, epoch loss=1.902409 Batch=719, step=12720, lr=0.147250, batch loss=0.232124, epoch loss=2.134533 Batch=779, step=12780, lr=0.146750, batch loss=0.254770, epoch loss=2.389304 Batch=839, step=12840, lr=0.146750, batch loss=0.234047, epoch loss=2.623351 Batch=899, step=12900, lr=0.146500, batch loss=0.232704, epoch loss=2.856055 Batch=959, step=12960, lr=0.146250, batch loss=0.137982, epoch loss=2.994037 Batch=1019, step=13020, lr=0.146000, batch loss=0.210691, epoch loss=3.204728 Batch=1079, step=13080, lr=0.145750, batch loss=0.115911, epoch loss=3.320639 Batch=1139, step=13140, lr=0.145500, batch loss=0.148502, epoch loss=3.469141 Batch=1199, step=13200, lr=0.145000, batch loss=0.116116, epoch loss=3.585257 Epoch=10, step=13200, lr=0.145000, epoch loss=3.585257 Batch=59, step=13260, lr=0.144750, batch loss=0.134467, epoch loss=0.134467 Batch=119, step=13320, lr=0.144500, batch loss=0.109976, epoch loss=0.244443 Batch=179, step=13380, lr=0.144500, batch loss=0.127281, epoch loss=0.371724 Batch=239, step=13440, lr=0.144250, batch loss=0.183820, epoch loss=0.555544 Batch=299, step=13500, lr=0.143750, batch loss=0.120364, epoch loss=0.675908 Batch=359, step=13560, lr=0.143750, batch loss=0.163031, epoch loss=0.838939 Batch=419, step=13620, lr=0.143250, batch loss=0.159473, epoch loss=0.998412 Batch=479, step=13680, lr=0.143000, batch loss=0.147874, epoch loss=1.146286 Batch=539, step=13740, lr=0.142750, batch loss=0.116585, epoch loss=1.262871 Batch=599, step=13800, lr=0.142500, batch loss=0.120145, epoch loss=1.383016 Batch=659, step=13860, lr=0.142500, batch loss=0.180433, epoch loss=1.563449 Batch=719, step=13920, lr=0.142250, batch loss=0.196176, epoch loss=1.759625 Batch=779, step=13980, lr=0.141750, batch loss=0.223161, epoch loss=1.982787 Batch=839, step=14040, lr=0.141750, batch loss=0.205888, epoch loss=2.188674 Batch=899, step=14100, lr=0.141250, batch loss=0.224135, epoch loss=2.412809 Batch=959, step=14160, lr=0.141250, batch loss=0.097508, epoch loss=2.510317 Batch=1019, step=14220, lr=0.140750, batch loss=0.195432, epoch loss=2.705749 Batch=1079, step=14280, lr=0.140750, batch loss=0.078107, epoch loss=2.783856 Batch=1139, step=14340, lr=0.140500, batch loss=0.120826, epoch loss=2.904682 Batch=1199, step=14400, lr=0.140250, batch loss=0.086430, epoch loss=2.991112 Epoch=11, step=14400, lr=0.140250, epoch loss=2.991112 Batch=59, step=14460, lr=0.140000, batch loss=0.104844, epoch loss=0.104844 Batch=119, step=14520, lr=0.139500, batch loss=0.099435, epoch loss=0.204280 Batch=179, step=14580, lr=0.139500, batch loss=0.100694, epoch loss=0.304974 Batch=239, step=14640, lr=0.139000, batch loss=0.141348, epoch loss=0.446321 Batch=299, step=14700, lr=0.139000, batch loss=0.076878, epoch loss=0.523200 Batch=359, step=14760, lr=0.138750, batch loss=0.119914, epoch loss=0.643114 Batch=419, step=14820, lr=0.138250, batch loss=0.130779, epoch loss=0.773893 Batch=479, step=14880, lr=0.138000, batch loss=0.100324, epoch loss=0.874217 Batch=539, step=14940, lr=0.138000, batch loss=0.110483, epoch loss=0.984700 Batch=599, step=15000, lr=0.137500, batch loss=0.083896, epoch loss=1.068595 Batch=659, step=15060, lr=0.137500, batch loss=0.129780, epoch loss=1.198375 Batch=719, step=15120, lr=0.137250, batch loss=0.133100, epoch loss=1.331475 Batch=779, step=15180, lr=0.137000, batch loss=0.181814, epoch loss=1.513290 Batch=839, step=15240, lr=0.136500, batch loss=0.164984, epoch loss=1.678274 Batch=899, step=15300, lr=0.136250, batch loss=0.289597, epoch loss=1.967871 Batch=959, step=15360, lr=0.136250, batch loss=0.055818, epoch loss=2.023689 Batch=1019, step=15420, lr=0.136000, batch loss=0.132021, epoch loss=2.155710 Batch=1079, step=15480, lr=0.135750, batch loss=0.046577, epoch loss=2.202287 Batch=1139, step=15540, lr=0.135500, batch loss=0.099830, epoch loss=2.302117 Batch=1199, step=15600, lr=0.135250, batch loss=0.062971, epoch loss=2.365088 Epoch=12, step=15600, lr=0.135250, epoch loss=2.365088 Batch=59, step=15660, lr=0.135000, batch loss=0.077124, epoch loss=0.077124 Batch=119, step=15720, lr=0.134750, batch loss=0.105779, epoch loss=0.182904 Batch=179, step=15780, lr=0.134500, batch loss=0.090238, epoch loss=0.273141 Batch=239, step=15840, lr=0.134000, batch loss=0.092221, epoch loss=0.365362 Batch=299, step=15900, lr=0.133750, batch loss=0.039984, epoch loss=0.405346 Batch=359, step=15960, lr=0.133750, batch loss=0.080211, epoch loss=0.485557 Batch=419, step=16020, lr=0.133500, batch loss=0.078066, epoch loss=0.563623 Batch=479, step=16080, lr=0.133250, batch loss=0.065347, epoch loss=0.628970 Batch=539, step=16140, lr=0.132750, batch loss=0.056729, epoch loss=0.685699 Batch=599, step=16200, lr=0.132750, batch loss=0.111342, epoch loss=0.797041 Batch=659, step=16260, lr=0.132250, batch loss=0.079370, epoch loss=0.876411 Batch=719, step=16320, lr=0.132000, batch loss=0.134374, epoch loss=1.010785 Batch=779, step=16380, lr=0.131750, batch loss=0.325757, epoch loss=1.336542 Batch=839, step=16440, lr=0.131500, batch loss=0.093329, epoch loss=1.429870 Batch=899, step=16500, lr=0.131250, batch loss=0.076615, epoch loss=1.506486 Batch=959, step=16560, lr=0.131250, batch loss=0.032435, epoch loss=1.538921 Batch=1019, step=16620, lr=0.130750, batch loss=0.068857, epoch loss=1.607777 Batch=1079, step=16680, lr=0.130500, batch loss=0.046899, epoch loss=1.654676 Batch=1139, step=16740, lr=0.130250, batch loss=0.080774, epoch loss=1.735450 Batch=1199, step=16800, lr=0.130000, batch loss=0.036368, epoch loss=1.771818 Epoch=13, step=16800, lr=0.130000, epoch loss=1.771818 Batch=59, step=16860, lr=0.129750, batch loss=0.035764, epoch loss=0.035764 Batch=119, step=16920, lr=0.129750, batch loss=0.037232, epoch loss=0.072996 Batch=179, step=16980, lr=0.129250, batch loss=0.043425, epoch loss=0.116421 Batch=239, step=17040, lr=0.129000, batch loss=0.061723, epoch loss=0.178144 Batch=299, step=17100, lr=0.129000, batch loss=0.031609, epoch loss=0.209753 Batch=359, step=17160, lr=0.128750, batch loss=0.053841, epoch loss=0.263594 Batch=419, step=17220, lr=0.128250, batch loss=0.084241, epoch loss=0.347836 Batch=479, step=17280, lr=0.128250, batch loss=0.026798, epoch loss=0.374634 Batch=539, step=17340, lr=0.127750, batch loss=0.027994, epoch loss=0.402628 Batch=599, step=17400, lr=0.127750, batch loss=0.035545, epoch loss=0.438172 Batch=659, step=17460, lr=0.127500, batch loss=0.047914, epoch loss=0.486086 Batch=719, step=17520, lr=0.127250, batch loss=0.040455, epoch loss=0.526541 Batch=779, step=17580, lr=0.127000, batch loss=0.047160, epoch loss=0.573701 Batch=839, step=17640, lr=0.126750, batch loss=0.094146, epoch loss=0.667847 Batch=899, step=17700, lr=0.126250, batch loss=0.147131, epoch loss=0.814978 Batch=959, step=17760, lr=0.126250, batch loss=0.028585, epoch loss=0.843563 Batch=1019, step=17820, lr=0.125750, batch loss=0.060976, epoch loss=0.904538 Batch=1079, step=17880, lr=0.125750, batch loss=0.023420, epoch loss=0.927959 Batch=1139, step=17940, lr=0.125250, batch loss=0.047698, epoch loss=0.975657 Batch=1199, step=18000, lr=0.125250, batch loss=0.020077, epoch loss=0.995734 Epoch=14, step=18000, lr=0.125250, epoch loss=0.995734 Batch=59, step=18060, lr=0.124750, batch loss=0.012366, epoch loss=0.012366 Batch=119, step=18120, lr=0.124500, batch loss=0.019889, epoch loss=0.032255 Batch=179, step=18180, lr=0.124500, batch loss=0.029214, epoch loss=0.061469 Batch=239, step=18240, lr=0.124250, batch loss=0.034199, epoch loss=0.095669 Batch=299, step=18300, lr=0.124000, batch loss=0.008383, epoch loss=0.104052 Batch=359, step=18360, lr=0.123500, batch loss=0.023843, epoch loss=0.127895 Batch=419, step=18420, lr=0.123250, batch loss=0.027567, epoch loss=0.155462 Batch=479, step=18480, lr=0.123250, batch loss=0.016690, epoch loss=0.172152 Batch=539, step=18540, lr=0.122750, batch loss=0.021049, epoch loss=0.193201 Batch=599, step=18600, lr=0.122500, batch loss=0.028133, epoch loss=0.221334 Batch=659, step=18660, lr=0.122250, batch loss=0.024494, epoch loss=0.245829 Batch=719, step=18720, lr=0.122000, batch loss=0.028267, epoch loss=0.274096 Batch=779, step=18780, lr=0.121750, batch loss=0.069807, epoch loss=0.343903 Batch=839, step=18840, lr=0.121750, batch loss=0.133056, epoch loss=0.476959 Batch=899, step=18900, lr=0.121500, batch loss=0.036878, epoch loss=0.513837 Batch=959, step=18960, lr=0.121250, batch loss=0.013125, epoch loss=0.526962 Batch=1019, step=19020, lr=0.121000, batch loss=0.021556, epoch loss=0.548518 Batch=1079, step=19080, lr=0.120750, batch loss=0.009952, epoch loss=0.558470 Batch=1139, step=19140, lr=0.120500, batch loss=0.022835, epoch loss=0.581304 Batch=1199, step=19200, lr=0.120250, batch loss=0.010797, epoch loss=0.592101 Epoch=15, step=19200, lr=0.120250, epoch loss=0.592101 Batch=59, step=19260, lr=0.119750, batch loss=0.005165, epoch loss=0.005165 Batch=119, step=19320, lr=0.119500, batch loss=0.016294, epoch loss=0.021459 Batch=179, step=19380, lr=0.119250, batch loss=0.041953, epoch loss=0.063411 Batch=239, step=19440, lr=0.119250, batch loss=0.020727, epoch loss=0.084138 Batch=299, step=19500, lr=0.118750, batch loss=0.004803, epoch loss=0.088941 Batch=359, step=19560, lr=0.118500, batch loss=0.018504, epoch loss=0.107445 Batch=419, step=19620, lr=0.118250, batch loss=0.018816, epoch loss=0.126261 Batch=479, step=19680, lr=0.118000, batch loss=0.006368, epoch loss=0.132629 Batch=539, step=19740, lr=0.117750, batch loss=0.028332, epoch loss=0.160961 Batch=599, step=19800, lr=0.117750, batch loss=0.026464, epoch loss=0.187426 Batch=659, step=19860, lr=0.117250, batch loss=0.014631, epoch loss=0.202056 Batch=719, step=19920, lr=0.117000, batch loss=0.040239, epoch loss=0.242295 Batch=779, step=19980, lr=0.117000, batch loss=0.073876, epoch loss=0.316171 Batch=839, step=20040, lr=0.116750, batch loss=0.030775, epoch loss=0.346946 Batch=899, step=20100, lr=0.116250, batch loss=0.028792, epoch loss=0.375739 Batch=959, step=20160, lr=0.116000, batch loss=0.019177, epoch loss=0.394916 Batch=1019, step=20220, lr=0.115750, batch loss=0.022159, epoch loss=0.417075 Batch=1079, step=20280, lr=0.115500, batch loss=0.002849, epoch loss=0.419924 Batch=1139, step=20340, lr=0.115250, batch loss=0.014706, epoch loss=0.434629 Batch=1199, step=20400, lr=0.115250, batch loss=0.007670, epoch loss=0.442299 Epoch=16, step=20400, lr=0.115250, epoch loss=0.442299 Batch=59, step=20460, lr=0.115000, batch loss=0.003707, epoch loss=0.003707 Batch=119, step=20520, lr=0.114750, batch loss=0.009234, epoch loss=0.012941 Batch=179, step=20580, lr=0.114500, batch loss=0.021304, epoch loss=0.034245 Batch=239, step=20640, lr=0.114250, batch loss=0.017738, epoch loss=0.051984 Batch=299, step=20700, lr=0.114000, batch loss=0.005301, epoch loss=0.057284 Batch=359, step=20760, lr=0.113750, batch loss=0.013345, epoch loss=0.070629 Batch=419, step=20820, lr=0.113500, batch loss=0.014507, epoch loss=0.085136 Batch=479, step=20880, lr=0.113250, batch loss=0.003924, epoch loss=0.089060 Batch=539, step=20940, lr=0.112750, batch loss=0.015422, epoch loss=0.104482 Batch=599, step=21000, lr=0.112500, batch loss=0.018622, epoch loss=0.123104 Batch=659, step=21060, lr=0.112250, batch loss=0.015113, epoch loss=0.138217 Batch=719, step=21120, lr=0.112000, batch loss=0.041361, epoch loss=0.179578 Batch=779, step=21180, lr=0.112000, batch loss=0.072781, epoch loss=0.252359 Batch=839, step=21240, lr=0.111750, batch loss=0.025809, epoch loss=0.278168 Batch=899, step=21300, lr=0.111500, batch loss=0.027833, epoch loss=0.306001 Batch=959, step=21360, lr=0.111250, batch loss=0.009842, epoch loss=0.315843 Batch=1019, step=21420, lr=0.111000, batch loss=0.010559, epoch loss=0.326402 Batch=1079, step=21480, lr=0.110500, batch loss=0.001895, epoch loss=0.328297 Batch=1139, step=21540, lr=0.110250, batch loss=0.012334, epoch loss=0.340631 Batch=1199, step=21600, lr=0.110000, batch loss=0.005161, epoch loss=0.345791 Epoch=17, step=21600, lr=0.110000, epoch loss=0.345791 Batch=59, step=21660, lr=0.109750, batch loss=0.002383, epoch loss=0.002383 Batch=119, step=21720, lr=0.109500, batch loss=0.006456, epoch loss=0.008838 Batch=179, step=21780, lr=0.109500, batch loss=0.012361, epoch loss=0.021199 Batch=239, step=21840, lr=0.109000, batch loss=0.009823, epoch loss=0.031021 Batch=299, step=21900, lr=0.109000, batch loss=0.009580, epoch loss=0.040601 Batch=359, step=21960, lr=0.108500, batch loss=0.014391, epoch loss=0.054992 Batch=419, step=22020, lr=0.108250, batch loss=0.012621, epoch loss=0.067613 Batch=479, step=22080, lr=0.108000, batch loss=0.002938, epoch loss=0.070551 Batch=539, step=22140, lr=0.108000, batch loss=0.016459, epoch loss=0.087011 Batch=599, step=22200, lr=0.107500, batch loss=0.015462, epoch loss=0.102473 Batch=659, step=22260, lr=0.107250, batch loss=0.012124, epoch loss=0.114597 Batch=719, step=22320, lr=0.107000, batch loss=0.021248, epoch loss=0.135846 Batch=779, step=22380, lr=0.106750, batch loss=0.029098, epoch loss=0.164944 Batch=839, step=22440, lr=0.106750, batch loss=0.027460, epoch loss=0.192404 Batch=899, step=22500, lr=0.106500, batch loss=0.024908, epoch loss=0.217312 Batch=959, step=22560, lr=0.106000, batch loss=0.009401, epoch loss=0.226713 Batch=1019, step=22620, lr=0.105750, batch loss=0.009892, epoch loss=0.236605 Batch=1079, step=22680, lr=0.105500, batch loss=0.001303, epoch loss=0.237907 Batch=1139, step=22740, lr=0.105250, batch loss=0.009902, epoch loss=0.247810 Batch=1199, step=22800, lr=0.105000, batch loss=0.005176, epoch loss=0.252986 Epoch=18, step=22800, lr=0.105000, epoch loss=0.252986 Batch=59, step=22860, lr=0.104750, batch loss=0.001799, epoch loss=0.001799 Batch=119, step=22920, lr=0.104500, batch loss=0.005406, epoch loss=0.007206 Batch=179, step=22980, lr=0.104250, batch loss=0.010878, epoch loss=0.018084 Batch=239, step=23040, lr=0.104000, batch loss=0.009609, epoch loss=0.027693 Batch=299, step=23100, lr=0.104000, batch loss=0.009124, epoch loss=0.036817 Batch=359, step=23160, lr=0.103750, batch loss=0.012557, epoch loss=0.049374 Batch=419, step=23220, lr=0.103250, batch loss=0.010741, epoch loss=0.060114 Batch=479, step=23280, lr=0.103250, batch loss=0.002582, epoch loss=0.062696 Batch=539, step=23340, lr=0.103000, batch loss=0.016508, epoch loss=0.079205 Batch=599, step=23400, lr=0.102500, batch loss=0.013951, epoch loss=0.093156 Batch=659, step=23460, lr=0.102250, batch loss=0.010708, epoch loss=0.103864 Batch=719, step=23520, lr=0.102250, batch loss=0.014641, epoch loss=0.118506 Batch=779, step=23580, lr=0.102000, batch loss=0.022128, epoch loss=0.140634 Batch=839, step=23640, lr=0.101500, batch loss=0.025245, epoch loss=0.165879 Batch=899, step=23700, lr=0.101250, batch loss=0.023601, epoch loss=0.189479 Batch=959, step=23760, lr=0.101000, batch loss=0.008571, epoch loss=0.198051 Batch=1019, step=23820, lr=0.101000, batch loss=0.008074, epoch loss=0.206125 Batch=1079, step=23880, lr=0.100750, batch loss=0.000449, epoch loss=0.206574 Batch=1139, step=23940, lr=0.100500, batch loss=0.009786, epoch loss=0.216360 Batch=1199, step=24000, lr=0.100000, batch loss=0.004632, epoch loss=0.220992 Epoch=19, step=24000, lr=0.100000, epoch loss=0.220992 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-30 12:57.58: Job failed: Failed: Build failed