2025-05-20 15:37.45: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0c149bf3ecd92e734e4ff83fd0bdeb75f6d733c8) (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 0c149bf3 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-20 15:37.45: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-20 15:37.45: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-20 15:37.45: Waiting for resource in pool OCluster 2025-05-20 15:37.45: Waiting for worker… 2025-05-20 15:39.11: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions HEAD is now at 0c149bf3 New executable read_config, and finally a better logging test setup with per-backend targets; important: test/ocannl_config -> test/config/ocannl_config (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) 2025-05-20 15:39.43 ---> 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")) 2025-05-20 15:39.43 ---> 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 2025-05-20 15:40.31 ---> 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 2025-05-20 15:40.32 ---> saved as "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 15:40.32 ---> saved as "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..55711315d0 master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> 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) 2025-05-20 15:41.18 ---> saved as "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 15:41.18 ---> saved as "9c333ad6cbd8875aaf28d562f21391898615111b2c367a68d94df04e31026b19" /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) 2025-05-20 15:41.39 ---> saved as "484dda58dd65cc7b9cb1a2ddd17d943f9f5fd794c60722f21f425d2a05144215" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 15:41.39 ---> saved as "abad4a5f5a5311945dfe30bc5d5916e2396212a16a9bd725432f85f326e51941" /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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "zypper" "--non-interactive" "refresh" - Retrieving repository 'Update repository of openSUSE Backports' metadata [...... - ......done] - Building repository 'Update repository of openSUSE Backports' cache [.. - ..done] - Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [....... - .......... - .......... - ....... - ...done] - Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [.. - ..done] - Repository 'Main Update Repository' is up to date. - Repository 'Update Repository (Non-Oss)' is up to date. - 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 (24.8 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-05-20 15:42.40 ---> saved as "758a7d0839f6f4ea4bad56586469cc59b819e060347fb89eec3741cce7c4642f" /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 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved 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 num.1.5-1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_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 dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> 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.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> 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.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.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 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_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-05-20 15:44.21 ---> saved as "0dea2035accc1a2c031c7f51ae64a029140d50c94c40940ebb9998bb8cf04db8" /src: (copy (src .) (dst /src)) 2025-05-20 15:44.23 ---> saved as "24cca9cf2c060404b71bdf784cce186859594211cbde351733f2f9b6e3ead186" /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 File "test/dune", lines 42-57, characters 0-506: 42 | (rule 43 | (target "%{read:config/ocannl_backend.txt}-0-0.log.actual") 44 | (action .... 55 | "\\1[0]{=MAYBE UNINITIALIZED} = " 56 | "%{read:config/ocannl_backend.txt}-0-0.log.actual" 57 | "%{read:config/ocannl_backend.txt}-0-0.log.actual")))) (cd _build/default/test && ../tools/minised.exe 0x[0-9a-f]+ 0xNNNN log_files/multicore_cc-0-0.log multicore_cc-0-0.log.actual) Fatal error: exception Sys_error("log_files/multicore_cc-0-0.log: No such file or directory") (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/16ab4786f327bc6cc18f5f1ffd464989/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/994dd07a92fa0354465d689cd5e545dd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/16ab4786f327bc6cc18f5f1ffd464989/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/16ab4786f327bc6cc18f5f1ffd464989/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188500, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281720, epoch loss=1.750135 Batch=479, step=2880, lr=0.188000, batch loss=0.264880, epoch loss=2.015015 Batch=539, step=2940, lr=0.188000, batch loss=0.203705, epoch loss=2.218720 Batch=599, step=3000, lr=0.187750, batch loss=0.240725, epoch loss=2.459444 Batch=659, step=3060, lr=0.187500, batch loss=0.345729, epoch loss=2.805173 Batch=719, step=3120, lr=0.187250, batch loss=0.341016, epoch loss=3.146189 Batch=779, step=3180, lr=0.186750, batch loss=0.369958, epoch loss=3.516147 Batch=839, step=3240, lr=0.186750, batch loss=0.325568, epoch loss=3.841716 Batch=899, step=3300, lr=0.186500, batch loss=0.293024, epoch loss=4.134740 Batch=959, step=3360, lr=0.186250, batch loss=0.236552, epoch loss=4.371291 Batch=1019, step=3420, lr=0.186000, batch loss=0.356139, epoch loss=4.727431 Batch=1079, step=3480, lr=0.185750, batch loss=0.228331, epoch loss=4.955762 Batch=1139, step=3540, lr=0.185500, batch loss=0.260493, epoch loss=5.216255 Batch=1199, step=3600, lr=0.185000, batch loss=0.199835, epoch loss=5.416090 Epoch=2, step=3600, lr=0.185000, epoch loss=5.416090 Batch=59, step=3660, lr=0.184750, batch loss=0.223155, epoch loss=0.223155 Batch=119, step=3720, lr=0.184500, batch loss=0.184659, epoch loss=0.407814 Batch=179, step=3780, lr=0.184500, batch loss=0.212545, epoch loss=0.620359 Batch=239, step=3840, lr=0.184250, batch loss=0.316518, epoch loss=0.936877 Batch=299, step=3900, lr=0.184000, batch loss=0.203109, epoch loss=1.139986 Batch=359, step=3960, lr=0.183500, batch loss=0.282648, epoch loss=1.422634 Batch=419, step=4020, lr=0.183250, batch loss=0.271622, epoch loss=1.694256 Batch=479, step=4080, lr=0.183000, batch loss=0.249257, epoch loss=1.943513 Batch=539, step=4140, lr=0.183000, batch loss=0.193828, epoch loss=2.137341 Batch=599, step=4200, lr=0.182500, batch loss=0.230453, epoch loss=2.367795 Batch=659, step=4260, lr=0.182250, batch loss=0.330284, epoch loss=2.698078 Batch=719, step=4320, lr=0.182250, batch loss=0.327277, epoch loss=3.025355 Batch=779, step=4380, lr=0.181750, batch loss=0.353222, epoch loss=3.378577 Batch=839, step=4440, lr=0.181500, batch loss=0.317346, epoch loss=3.695923 Batch=899, step=4500, lr=0.181500, batch loss=0.286115, epoch loss=3.982038 Batch=959, step=4560, lr=0.181000, batch loss=0.238779, epoch loss=4.220817 Batch=1019, step=4620, lr=0.181000, batch loss=0.333162, epoch loss=4.553979 Batch=1079, step=4680, lr=0.180750, batch loss=0.194579, epoch loss=4.748557 Batch=1139, step=4740, lr=0.180500, batch loss=0.228692, epoch loss=4.977249 Batch=1199, step=4800, lr=0.180000, batch loss=0.191297, epoch loss=5.168545 Epoch=3, step=4800, lr=0.180000, epoch loss=5.168545 Batch=59, step=4860, lr=0.179750, batch loss=0.229829, epoch loss=0.229829 Batch=119, step=4920, lr=0.179500, batch loss=0.189127, epoch loss=0.418956 Batch=179, step=4980, lr=0.179500, batch loss=0.206228, epoch loss=0.625184 Batch=239, step=5040, lr=0.179250, batch loss=0.307773, epoch loss=0.932957 Batch=299, step=5100, lr=0.179000, batch loss=0.207851, epoch loss=1.140808 Batch=359, step=5160, lr=0.178500, batch loss=0.276910, epoch loss=1.417718 Batch=419, step=5220, lr=0.178500, batch loss=0.278611, epoch loss=1.696329 Batch=479, step=5280, lr=0.178000, batch loss=0.251221, epoch loss=1.947550 Batch=539, step=5340, lr=0.178000, batch loss=0.195756, epoch loss=2.143306 Batch=599, step=5400, lr=0.177750, batch loss=0.241960, epoch loss=2.385266 Batch=659, step=5460, lr=0.177500, batch loss=0.318874, epoch loss=2.704140 Batch=719, step=5520, lr=0.177000, batch loss=0.321297, epoch loss=3.025437 Batch=779, step=5580, lr=0.177000, batch loss=0.342831, epoch loss=3.368268 Batch=839, step=5640, lr=0.176750, batch loss=0.310650, epoch loss=3.678918 Batch=899, step=5700, lr=0.176500, batch loss=0.272989, epoch loss=3.951907 Batch=959, step=5760, lr=0.176250, batch loss=0.214859, epoch loss=4.166766 Batch=1019, step=5820, lr=0.176000, batch loss=0.334748, epoch loss=4.501514 Batch=1079, step=5880, lr=0.175750, batch loss=0.189683, epoch loss=4.691197 Batch=1139, step=5940, lr=0.175500, batch loss=0.224186, epoch loss=4.915383 Batch=1199, step=6000, lr=0.175250, batch loss=0.190008, epoch loss=5.105390 Epoch=4, step=6000, lr=0.175250, epoch loss=5.105390 Batch=59, step=6060, lr=0.175000, batch loss=0.232914, epoch loss=0.232914 Batch=119, step=6120, lr=0.174750, batch loss=0.192394, epoch loss=0.425308 Batch=179, step=6180, lr=0.174500, batch loss=0.201918, epoch loss=0.627226 Batch=239, step=6240, lr=0.174000, batch loss=0.303754, epoch loss=0.930980 Batch=299, step=6300, lr=0.173750, batch loss=0.210772, epoch loss=1.141752 Batch=359, step=6360, lr=0.173500, batch loss=0.273961, epoch loss=1.415712 Batch=419, step=6420, lr=0.173250, batch loss=0.267621, epoch loss=1.683333 Batch=479, step=6480, lr=0.173250, batch loss=0.241882, epoch loss=1.925215 Batch=539, step=6540, lr=0.172750, batch loss=0.195465, epoch loss=2.120680 Batch=599, step=6600, lr=0.172750, batch loss=0.232711, epoch loss=2.353391 Batch=659, step=6660, lr=0.172500, batch loss=0.315143, epoch loss=2.668533 Batch=719, step=6720, lr=0.172000, batch loss=0.320356, epoch loss=2.988890 Batch=779, step=6780, lr=0.172000, batch loss=0.340907, epoch loss=3.329796 Batch=839, step=6840, lr=0.171500, batch loss=0.300396, epoch loss=3.630192 Batch=899, step=6900, lr=0.171500, batch loss=0.267492, epoch loss=3.897684 Batch=959, step=6960, lr=0.171250, batch loss=0.211281, epoch loss=4.108965 Batch=1019, step=7020, lr=0.171000, batch loss=0.327641, epoch loss=4.436606 Batch=1079, step=7080, lr=0.170750, batch loss=0.174006, epoch loss=4.610613 Batch=1139, step=7140, lr=0.170500, batch loss=0.212883, epoch loss=4.823496 Batch=1199, step=7200, lr=0.170250, batch loss=0.190692, epoch loss=5.014188 Epoch=5, step=7200, lr=0.170250, epoch loss=5.014188 Batch=59, step=7260, lr=0.170000, batch loss=0.225352, epoch loss=0.225352 Batch=119, step=7320, lr=0.169750, batch loss=0.189850, epoch loss=0.415202 Batch=179, step=7380, lr=0.169500, batch loss=0.194708, epoch loss=0.609910 Batch=239, step=7440, lr=0.169250, batch loss=0.291175, epoch loss=0.901086 Batch=299, step=7500, lr=0.169000, batch loss=0.207924, epoch loss=1.109009 Batch=359, step=7560, lr=0.168750, batch loss=0.261233, epoch loss=1.370243 Batch=419, step=7620, lr=0.168500, batch loss=0.254636, epoch loss=1.624879 Batch=479, step=7680, lr=0.168250, batch loss=0.239232, epoch loss=1.864112 Batch=539, step=7740, lr=0.168000, batch loss=0.185928, epoch loss=2.050040 Batch=599, step=7800, lr=0.167750, batch loss=0.225397, epoch loss=2.275437 Batch=659, step=7860, lr=0.167500, batch loss=0.304256, epoch loss=2.579693 Batch=719, step=7920, lr=0.167000, batch loss=0.308891, epoch loss=2.888585 Batch=779, step=7980, lr=0.167000, batch loss=0.320387, epoch loss=3.208971 Batch=839, step=8040, lr=0.166500, batch loss=0.297420, epoch loss=3.506391 Batch=899, step=8100, lr=0.166500, batch loss=0.263390, epoch loss=3.769781 Batch=959, step=8160, lr=0.166250, batch loss=0.200753, epoch loss=3.970534 Batch=1019, step=8220, lr=0.166000, batch loss=0.321216, epoch loss=4.291750 Batch=1079, step=8280, lr=0.165750, batch loss=0.194224, epoch loss=4.485974 Batch=1139, step=8340, lr=0.165500, batch loss=0.216878, epoch loss=4.702852 Batch=1199, step=8400, lr=0.165250, batch loss=0.173292, epoch loss=4.876145 Epoch=6, step=8400, lr=0.165250, epoch loss=4.876145 Batch=59, step=8460, lr=0.165000, batch loss=0.213740, epoch loss=0.213740 Batch=119, step=8520, lr=0.164750, batch loss=0.176691, epoch loss=0.390431 Batch=179, step=8580, lr=0.164500, batch loss=0.188917, epoch loss=0.579348 Batch=239, step=8640, lr=0.164000, batch loss=0.278370, epoch loss=0.857718 Batch=299, step=8700, lr=0.164000, batch loss=0.191819, epoch loss=1.049537 Batch=359, step=8760, lr=0.163750, batch loss=0.248473, epoch loss=1.298010 Batch=419, step=8820, lr=0.163500, batch loss=0.245835, epoch loss=1.543845 Batch=479, step=8880, lr=0.163250, batch loss=0.228209, epoch loss=1.772053 Batch=539, step=8940, lr=0.163000, batch loss=0.178458, epoch loss=1.950511 Batch=599, step=9000, lr=0.162750, batch loss=0.216906, epoch loss=2.167417 Batch=659, step=9060, lr=0.162500, batch loss=0.295152, epoch loss=2.462570 Batch=719, step=9120, lr=0.162250, batch loss=0.296738, epoch loss=2.759308 Batch=779, step=9180, lr=0.162000, batch loss=0.316233, epoch loss=3.075541 Batch=839, step=9240, lr=0.161750, batch loss=0.281587, epoch loss=3.357128 Batch=899, step=9300, lr=0.161500, batch loss=0.253845, epoch loss=3.610973 Batch=959, step=9360, lr=0.161250, batch loss=0.208868, epoch loss=3.819841 Batch=1019, step=9420, lr=0.161000, batch loss=0.298259, epoch loss=4.118100 Batch=1079, step=9480, lr=0.160750, batch loss=0.173333, epoch loss=4.291433 Batch=1139, step=9540, lr=0.160500, batch loss=0.200435, epoch loss=4.491868 Batch=1199, step=9600, lr=0.160250, batch loss=0.165116, epoch loss=4.656984 Epoch=7, step=9600, lr=0.160250, epoch loss=4.656984 Batch=59, step=9660, lr=0.160000, batch loss=0.189488, epoch loss=0.189488 Batch=119, step=9720, lr=0.159750, batch loss=0.163530, epoch loss=0.353018 Batch=179, step=9780, lr=0.159500, batch loss=0.178731, epoch loss=0.531749 Batch=239, step=9840, lr=0.159250, batch loss=0.261231, epoch loss=0.792980 Batch=299, step=9900, lr=0.159000, batch loss=0.187049, epoch loss=0.980029 Batch=359, step=9960, lr=0.158750, batch loss=0.242882, epoch loss=1.222911 Batch=419, step=10020, lr=0.158500, batch loss=0.232147, epoch loss=1.455058 Batch=479, step=10080, lr=0.158250, batch loss=0.214383, epoch loss=1.669441 Batch=539, step=10140, lr=0.158000, batch loss=0.170452, epoch loss=1.839894 Batch=599, step=10200, lr=0.157750, batch loss=0.202581, epoch loss=2.042474 Batch=659, step=10260, lr=0.157500, batch loss=0.281359, epoch loss=2.323833 Batch=719, step=10320, lr=0.157250, batch loss=0.278875, epoch loss=2.602708 Batch=779, step=10380, lr=0.157000, batch loss=0.298755, epoch loss=2.901462 Batch=839, step=10440, lr=0.156750, batch loss=0.271864, epoch loss=3.173326 Batch=899, step=10500, lr=0.156500, batch loss=0.238815, epoch loss=3.412141 Batch=959, step=10560, lr=0.156250, batch loss=0.200606, epoch loss=3.612748 Batch=1019, step=10620, lr=0.156000, batch loss=0.279270, epoch loss=3.892017 Batch=1079, step=10680, lr=0.155750, batch loss=0.156426, epoch loss=4.048443 Batch=1139, step=10740, lr=0.155500, batch loss=0.190074, epoch loss=4.238517 Batch=1199, step=10800, lr=0.155250, batch loss=0.155052, epoch loss=4.393569 Epoch=8, step=10800, lr=0.155250, epoch loss=4.393569 Batch=59, step=10860, lr=0.155000, batch loss=0.176946, epoch loss=0.176946 Batch=119, step=10920, lr=0.154750, batch loss=0.150324, epoch loss=0.327270 Batch=179, step=10980, lr=0.154500, batch loss=0.166150, epoch loss=0.493420 Batch=239, step=11040, lr=0.154250, batch loss=0.247562, epoch loss=0.740982 Batch=299, step=11100, lr=0.154000, batch loss=0.167221, epoch loss=0.908204 Batch=359, step=11160, lr=0.153750, batch loss=0.222775, epoch loss=1.130979 Batch=419, step=11220, lr=0.153500, batch loss=0.226262, epoch loss=1.357241 Batch=479, step=11280, lr=0.153250, batch loss=0.205866, epoch loss=1.563107 Batch=539, step=11340, lr=0.153000, batch loss=0.157919, epoch loss=1.721026 Batch=599, step=11400, lr=0.152750, batch loss=0.182458, epoch loss=1.903483 Batch=659, step=11460, lr=0.152500, batch loss=0.264129, epoch loss=2.167612 Batch=719, step=11520, lr=0.152250, batch loss=0.254072, epoch loss=2.421684 Batch=779, step=11580, lr=0.152000, batch loss=0.273010, epoch loss=2.694694 Batch=839, step=11640, lr=0.151750, batch loss=0.254943, epoch loss=2.949637 Batch=899, step=11700, lr=0.151500, batch loss=0.218942, epoch loss=3.168578 Batch=959, step=11760, lr=0.151250, batch loss=0.182057, epoch loss=3.350636 Batch=1019, step=11820, lr=0.151000, batch loss=0.266309, epoch loss=3.616945 Batch=1079, step=11880, lr=0.150750, batch loss=0.154702, epoch loss=3.771647 Batch=1139, step=11940, lr=0.150500, batch loss=0.194271, epoch loss=3.965918 Batch=1199, step=12000, lr=0.150250, batch loss=0.141057, epoch loss=4.106975 Epoch=9, step=12000, lr=0.150250, epoch loss=4.106975 Batch=59, step=12060, lr=0.150000, batch loss=0.159665, epoch loss=0.159665 Batch=119, step=12120, lr=0.149750, batch loss=0.128026, epoch loss=0.287691 Batch=179, step=12180, lr=0.149500, batch loss=0.150343, epoch loss=0.438034 Batch=239, step=12240, lr=0.149000, batch loss=0.219899, epoch loss=0.657932 Batch=299, step=12300, lr=0.149000, batch loss=0.143869, epoch loss=0.801802 Batch=359, step=12360, lr=0.148500, batch loss=0.197054, epoch loss=0.998855 Batch=419, step=12420, lr=0.148500, batch loss=0.205235, epoch loss=1.204090 Batch=479, step=12480, lr=0.148250, batch loss=0.181550, epoch loss=1.385641 Batch=539, step=12540, lr=0.148000, batch loss=0.142113, epoch loss=1.527753 Batch=599, step=12600, lr=0.147750, batch loss=0.152872, epoch loss=1.680625 Batch=659, step=12660, lr=0.147500, batch loss=0.230439, epoch loss=1.911064 Batch=719, step=12720, lr=0.147250, batch loss=0.227524, epoch loss=2.138587 Batch=779, step=12780, lr=0.147000, batch loss=0.251481, epoch loss=2.390068 Batch=839, step=12840, lr=0.146750, batch loss=0.222266, epoch loss=2.612334 Batch=899, step=12900, lr=0.146500, batch loss=0.188837, epoch loss=2.801171 Batch=959, step=12960, lr=0.146250, batch loss=0.168543, epoch loss=2.969714 Batch=1019, step=13020, lr=0.146000, batch loss=0.269101, epoch loss=3.238815 Batch=1079, step=13080, lr=0.145750, batch loss=0.116177, epoch loss=3.354992 Batch=1139, step=13140, lr=0.145500, batch loss=0.155753, epoch loss=3.510745 Batch=1199, step=13200, lr=0.145250, batch loss=0.118393, epoch loss=3.629138 Epoch=10, step=13200, lr=0.145250, epoch loss=3.629138 Batch=59, step=13260, lr=0.145000, batch loss=0.145514, epoch loss=0.145514 Batch=119, step=13320, lr=0.144750, batch loss=0.125791, epoch loss=0.271305 Batch=179, step=13380, lr=0.144500, batch loss=0.129933, epoch loss=0.401238 Batch=239, step=13440, lr=0.144250, batch loss=0.191565, epoch loss=0.592803 Batch=299, step=13500, lr=0.144000, batch loss=0.121741, epoch loss=0.714545 Batch=359, step=13560, lr=0.143750, batch loss=0.163905, epoch loss=0.878450 Batch=419, step=13620, lr=0.143500, batch loss=0.160537, epoch loss=1.038986 Batch=479, step=13680, lr=0.143250, batch loss=0.149299, epoch loss=1.188285 Batch=539, step=13740, lr=0.143000, batch loss=0.118092, epoch loss=1.306378 Batch=599, step=13800, lr=0.142750, batch loss=0.121145, epoch loss=1.427523 Batch=659, step=13860, lr=0.142500, batch loss=0.181643, epoch loss=1.609166 Batch=719, step=13920, lr=0.142250, batch loss=0.194473, epoch loss=1.803638 Batch=779, step=13980, lr=0.142000, batch loss=0.227505, epoch loss=2.031143 Batch=839, step=14040, lr=0.141750, batch loss=0.203530, epoch loss=2.234673 Batch=899, step=14100, lr=0.141500, batch loss=0.213588, epoch loss=2.448261 Batch=959, step=14160, lr=0.141250, batch loss=0.105117, epoch loss=2.553378 Batch=1019, step=14220, lr=0.141000, batch loss=0.197641, epoch loss=2.751019 Batch=1079, step=14280, lr=0.140750, batch loss=0.079359, epoch loss=2.830378 Batch=1139, step=14340, lr=0.140500, batch loss=0.129698, epoch loss=2.960076 Batch=1199, step=14400, lr=0.140250, batch loss=0.087994, epoch loss=3.048070 Epoch=11, step=14400, lr=0.140250, epoch loss=3.048070 Batch=59, step=14460, lr=0.140000, batch loss=0.106604, epoch loss=0.106604 Batch=119, step=14520, lr=0.139750, batch loss=0.099404, epoch loss=0.206008 Batch=179, step=14580, lr=0.139500, batch loss=0.099579, epoch loss=0.305587 Batch=239, step=14640, lr=0.139250, batch loss=0.148150, epoch loss=0.453737 Batch=299, step=14700, lr=0.139000, batch loss=0.109721, epoch loss=0.563458 Batch=359, step=14760, lr=0.138750, batch loss=0.135648, epoch loss=0.699106 Batch=419, step=14820, lr=0.138500, batch loss=0.163041, epoch loss=0.862147 Batch=479, step=14880, lr=0.138250, batch loss=0.088171, epoch loss=0.950318 Batch=539, step=14940, lr=0.138000, batch loss=0.071927, epoch loss=1.022245 Batch=599, step=15000, lr=0.137750, batch loss=0.097061, epoch loss=1.119306 Batch=659, step=15060, lr=0.137500, batch loss=0.188787, epoch loss=1.308092 Batch=719, step=15120, lr=0.137250, batch loss=0.127108, epoch loss=1.435201 Batch=779, step=15180, lr=0.137000, batch loss=0.135954, epoch loss=1.571154 Batch=839, step=15240, lr=0.136750, batch loss=0.164427, epoch loss=1.735581 Batch=899, step=15300, lr=0.136500, batch loss=0.253521, epoch loss=1.989102 Batch=959, step=15360, lr=0.136250, batch loss=0.065745, epoch loss=2.054848 Batch=1019, step=15420, lr=0.136000, batch loss=0.143250, epoch loss=2.198098 Batch=1079, step=15480, lr=0.135750, batch loss=0.042410, epoch loss=2.240507 Batch=1139, step=15540, lr=0.135500, batch loss=0.093908, epoch loss=2.334415 Batch=1199, step=15600, lr=0.135250, batch loss=0.060592, epoch loss=2.395008 Epoch=12, step=15600, lr=0.135250, epoch loss=2.395008 Batch=59, step=15660, lr=0.135000, batch loss=0.086960, epoch loss=0.086960 Batch=119, step=15720, lr=0.134750, batch loss=0.136937, epoch loss=0.223897 Batch=179, step=15780, lr=0.134500, batch loss=0.101027, epoch loss=0.324924 Batch=239, step=15840, lr=0.134250, batch loss=0.101195, epoch loss=0.426119 Batch=299, step=15900, lr=0.134000, batch loss=0.045716, epoch loss=0.471835 Batch=359, step=15960, lr=0.133750, batch loss=0.082647, epoch loss=0.554482 Batch=419, step=16020, lr=0.133500, batch loss=0.079345, epoch loss=0.633826 Batch=479, step=16080, lr=0.133250, batch loss=0.055742, epoch loss=0.689568 Batch=539, step=16140, lr=0.133000, batch loss=0.074984, epoch loss=0.764552 Batch=599, step=16200, lr=0.132750, batch loss=0.167597, epoch loss=0.932149 Batch=659, step=16260, lr=0.132500, batch loss=0.096032, epoch loss=1.028181 Batch=719, step=16320, lr=0.132250, batch loss=0.133877, epoch loss=1.162058 Batch=779, step=16380, lr=0.132000, batch loss=0.279849, epoch loss=1.441907 Batch=839, step=16440, lr=0.131750, batch loss=0.092949, epoch loss=1.534856 Batch=899, step=16500, lr=0.131500, batch loss=0.079571, epoch loss=1.614427 Batch=959, step=16560, lr=0.131250, batch loss=0.032073, epoch loss=1.646500 Batch=1019, step=16620, lr=0.131000, batch loss=0.063447, epoch loss=1.709947 Batch=1079, step=16680, lr=0.130750, batch loss=0.056722, epoch loss=1.766670 Batch=1139, step=16740, lr=0.130500, batch loss=0.104498, epoch loss=1.871167 Batch=1199, step=16800, lr=0.130250, batch loss=0.050170, epoch loss=1.921338 Epoch=13, step=16800, lr=0.130250, epoch loss=1.921338 Batch=59, step=16860, lr=0.130000, batch loss=0.037882, epoch loss=0.037882 Batch=119, step=16920, lr=0.129750, batch loss=0.035586, epoch loss=0.073468 Batch=179, step=16980, lr=0.129500, batch loss=0.044926, epoch loss=0.118394 Batch=239, step=17040, lr=0.129250, batch loss=0.062207, epoch loss=0.180601 Batch=299, step=17100, lr=0.129000, batch loss=0.023195, epoch loss=0.203795 Batch=359, step=17160, lr=0.128750, batch loss=0.044928, epoch loss=0.248723 Batch=419, step=17220, lr=0.128500, batch loss=0.066376, epoch loss=0.315099 Batch=479, step=17280, lr=0.128250, batch loss=0.023405, epoch loss=0.338504 Batch=539, step=17340, lr=0.128000, batch loss=0.028128, epoch loss=0.366632 Batch=599, step=17400, lr=0.127750, batch loss=0.041705, epoch loss=0.408337 Batch=659, step=17460, lr=0.127500, batch loss=0.052691, epoch loss=0.461028 Batch=719, step=17520, lr=0.127250, batch loss=0.058164, epoch loss=0.519192 Batch=779, step=17580, lr=0.127000, batch loss=0.070554, epoch loss=0.589746 Batch=839, step=17640, lr=0.126750, batch loss=0.101888, epoch loss=0.691635 Batch=899, step=17700, lr=0.126500, batch loss=0.050607, epoch loss=0.742242 Batch=959, step=17760, lr=0.126250, batch loss=0.017043, epoch loss=0.759285 Batch=1019, step=17820, lr=0.126000, batch loss=0.041262, epoch loss=0.800547 Batch=1079, step=17880, lr=0.125750, batch loss=0.050850, epoch loss=0.851397 Batch=1139, step=17940, lr=0.125500, batch loss=0.104045, epoch loss=0.955441 Batch=1199, step=18000, lr=0.125250, batch loss=0.026861, epoch loss=0.982302 Epoch=14, step=18000, lr=0.125250, epoch loss=0.982302 Batch=59, step=18060, lr=0.125000, batch loss=0.019632, epoch loss=0.019632 Batch=119, step=18120, lr=0.124750, batch loss=0.022480, epoch loss=0.042113 Batch=179, step=18180, lr=0.124500, batch loss=0.044858, epoch loss=0.086970 Batch=239, step=18240, lr=0.124250, batch loss=0.042700, epoch loss=0.129670 Batch=299, step=18300, lr=0.124000, batch loss=0.010922, epoch loss=0.140593 Batch=359, step=18360, lr=0.123750, batch loss=0.027713, epoch loss=0.168306 Batch=419, step=18420, lr=0.123500, batch loss=0.029232, epoch loss=0.197538 Batch=479, step=18480, lr=0.123250, batch loss=0.022631, epoch loss=0.220169 Batch=539, step=18540, lr=0.123000, batch loss=0.045892, epoch loss=0.266061 Batch=599, step=18600, lr=0.122750, batch loss=0.026466, epoch loss=0.292527 Batch=659, step=18660, lr=0.122500, batch loss=0.033152, epoch loss=0.325679 Batch=719, step=18720, lr=0.122250, batch loss=0.049761, epoch loss=0.375440 Batch=779, step=18780, lr=0.122000, batch loss=0.112317, epoch loss=0.487757 Batch=839, step=18840, lr=0.121750, batch loss=0.046319, epoch loss=0.534077 Batch=899, step=18900, lr=0.121500, batch loss=0.047208, epoch loss=0.581285 Batch=959, step=18960, lr=0.121250, batch loss=0.015237, epoch loss=0.596521 Batch=1019, step=19020, lr=0.121000, batch loss=0.030734, epoch loss=0.627255 Batch=1079, step=19080, lr=0.120750, batch loss=0.010005, epoch loss=0.637260 Batch=1139, step=19140, lr=0.120500, batch loss=0.023132, epoch loss=0.660393 Batch=1199, step=19200, lr=0.120250, batch loss=0.009446, epoch loss=0.669839 Epoch=15, step=19200, lr=0.120250, epoch loss=0.669839 Batch=59, step=19260, lr=0.120000, batch loss=0.004839, epoch loss=0.004839 Batch=119, step=19320, lr=0.119750, batch loss=0.021429, epoch loss=0.026268 Batch=179, step=19380, lr=0.119500, batch loss=0.061157, epoch loss=0.087425 Batch=239, step=19440, lr=0.119250, batch loss=0.023522, epoch loss=0.110948 Batch=299, step=19500, lr=0.119000, batch loss=0.017128, epoch loss=0.128075 Batch=359, step=19560, lr=0.118750, batch loss=0.033627, epoch loss=0.161703 Batch=419, step=19620, lr=0.118500, batch loss=0.021025, epoch loss=0.182727 Batch=479, step=19680, lr=0.118250, batch loss=0.007819, epoch loss=0.190546 Batch=539, step=19740, lr=0.118000, batch loss=0.018468, epoch loss=0.209015 Batch=599, step=19800, lr=0.117750, batch loss=0.022129, epoch loss=0.231144 Batch=659, step=19860, lr=0.117500, batch loss=0.018851, epoch loss=0.249995 Batch=719, step=19920, lr=0.117250, batch loss=0.038292, epoch loss=0.288287 Batch=779, step=19980, lr=0.117000, batch loss=0.087030, epoch loss=0.375317 Batch=839, step=20040, lr=0.116750, batch loss=0.032078, epoch loss=0.407395 Batch=899, step=20100, lr=0.116500, batch loss=0.031420, epoch loss=0.438815 Batch=959, step=20160, lr=0.116250, batch loss=0.011231, epoch loss=0.450046 Batch=1019, step=20220, lr=0.116000, batch loss=0.013607, epoch loss=0.463652 Batch=1079, step=20280, lr=0.115750, batch loss=0.003691, epoch loss=0.467344 Batch=1139, step=20340, lr=0.115500, batch loss=0.014917, epoch loss=0.482260 Batch=1199, step=20400, lr=0.115250, batch loss=0.006866, epoch loss=0.489127 Epoch=16, step=20400, lr=0.115250, epoch loss=0.489127 Batch=59, step=20460, lr=0.115000, batch loss=0.003804, epoch loss=0.003804 Batch=119, step=20520, lr=0.114750, batch loss=0.008707, epoch loss=0.012512 Batch=179, step=20580, lr=0.114500, batch loss=0.015630, epoch loss=0.028142 Batch=239, step=20640, lr=0.114250, batch loss=0.013368, epoch loss=0.041509 Batch=299, step=20700, lr=0.114000, batch loss=0.011963, epoch loss=0.053472 Batch=359, step=20760, lr=0.113750, batch loss=0.018302, epoch loss=0.071774 Batch=419, step=20820, lr=0.113500, batch loss=0.016030, epoch loss=0.087804 Batch=479, step=20880, lr=0.113000, batch loss=0.005118, epoch loss=0.092922 Batch=539, step=20940, lr=0.113000, batch loss=0.026186, epoch loss=0.119108 Batch=599, step=21000, lr=0.112750, batch loss=0.022161, epoch loss=0.141269 Batch=659, step=21060, lr=0.112500, batch loss=0.015744, epoch loss=0.157013 Batch=719, step=21120, lr=0.112250, batch loss=0.033898, epoch loss=0.190911 Batch=779, step=21180, lr=0.112000, batch loss=0.059580, epoch loss=0.250490 Batch=839, step=21240, lr=0.111750, batch loss=0.026108, epoch loss=0.276598 Batch=899, step=21300, lr=0.111500, batch loss=0.028580, epoch loss=0.305178 Batch=959, step=21360, lr=0.111250, batch loss=0.010294, epoch loss=0.315473 Batch=1019, step=21420, lr=0.111000, batch loss=0.011540, epoch loss=0.327012 Batch=1079, step=21480, lr=0.110750, batch loss=0.000989, epoch loss=0.328001 Batch=1139, step=21540, lr=0.110500, batch loss=0.013513, epoch loss=0.341514 Batch=1199, step=21600, lr=0.110250, batch loss=0.005230, epoch loss=0.346744 Epoch=17, step=21600, lr=0.110250, epoch loss=0.346744 Batch=59, step=21660, lr=0.110000, batch loss=0.002553, epoch loss=0.002553 Batch=119, step=21720, lr=0.109750, batch loss=0.007005, epoch loss=0.009558 Batch=179, step=21780, lr=0.109500, batch loss=0.012917, epoch loss=0.022476 Batch=239, step=21840, lr=0.109250, batch loss=0.010000, epoch loss=0.032475 Batch=299, step=21900, lr=0.109000, batch loss=0.003363, epoch loss=0.035839 Batch=359, step=21960, lr=0.108750, batch loss=0.015484, epoch loss=0.051323 Batch=419, step=22020, lr=0.108500, batch loss=0.012382, epoch loss=0.063704 Batch=479, step=22080, lr=0.108250, batch loss=0.002973, epoch loss=0.066677 Batch=539, step=22140, lr=0.108000, batch loss=0.018468, epoch loss=0.085145 Batch=599, step=22200, lr=0.107750, batch loss=0.017225, epoch loss=0.102370 Batch=659, step=22260, lr=0.107500, batch loss=0.015736, epoch loss=0.118106 Batch=719, step=22320, lr=0.107250, batch loss=0.022974, epoch loss=0.141079 Batch=779, step=22380, lr=0.107000, batch loss=0.033321, epoch loss=0.174400 Batch=839, step=22440, lr=0.106750, batch loss=0.027636, epoch loss=0.202036 Batch=899, step=22500, lr=0.106500, batch loss=0.025363, epoch loss=0.227400 Batch=959, step=22560, lr=0.106250, batch loss=0.010358, epoch loss=0.237758 Batch=1019, step=22620, lr=0.106000, batch loss=0.009411, epoch loss=0.247168 Batch=1079, step=22680, lr=0.105750, batch loss=0.002069, epoch loss=0.249237 Batch=1139, step=22740, lr=0.105500, batch loss=0.011163, epoch loss=0.260400 Batch=1199, step=22800, lr=0.105250, batch loss=0.005056, epoch loss=0.265456 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265456 Batch=59, step=22860, lr=0.105000, batch loss=0.002309, epoch loss=0.002309 Batch=119, step=22920, lr=0.104750, batch loss=0.005970, epoch loss=0.008279 Batch=179, step=22980, lr=0.104500, batch loss=0.010933, epoch loss=0.019211 Batch=239, step=23040, lr=0.104250, batch loss=0.008645, epoch loss=0.027856 Batch=299, step=23100, lr=0.104000, batch loss=0.006997, epoch loss=0.034853 Batch=359, step=23160, lr=0.103750, batch loss=0.013902, epoch loss=0.048755 Batch=419, step=23220, lr=0.103500, batch loss=0.011786, epoch loss=0.060541 Batch=479, step=23280, lr=0.103000, batch loss=0.004059, epoch loss=0.064600 Batch=539, step=23340, lr=0.103000, batch loss=0.015391, epoch loss=0.079991 Batch=599, step=23400, lr=0.102750, batch loss=0.014744, epoch loss=0.094735 Batch=659, step=23460, lr=0.102500, batch loss=0.013659, epoch loss=0.108394 Batch=719, step=23520, lr=0.102250, batch loss=0.018789, epoch loss=0.127183 Batch=779, step=23580, lr=0.102000, batch loss=0.018813, epoch loss=0.145996 Batch=839, step=23640, lr=0.101750, batch loss=0.027777, epoch loss=0.173772 Batch=899, step=23700, lr=0.101500, batch loss=0.021788, epoch loss=0.195560 Batch=959, step=23760, lr=0.101250, batch loss=0.010316, epoch loss=0.205875 Batch=1019, step=23820, lr=0.101000, batch loss=0.007193, epoch loss=0.213068 Batch=1079, step=23880, lr=0.100750, batch loss=0.001548, epoch loss=0.214616 Batch=1139, step=23940, lr=0.100500, batch loss=0.008579, epoch loss=0.223195 Batch=1199, step=24000, lr=0.100250, batch loss=0.004779, epoch loss=0.227974 Epoch=19, step=24000, lr=0.100250, epoch loss=0.227974 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 2025-05-20 15:45.03: Job failed: Failed: Build failed