2025-05-21 10:43.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (495b9f40152fbfb28e9b4c99de09840940ccb650) (linux-x86_64:fedora-41-5.3_opam-2.3) Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 495b9f40 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992 # fedora-41-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils 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 2025-05-21 10:43.10: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 10:43.10: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) (comment fedora-41-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (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")) ) 2025-05-21 10:43.10: Waiting for resource in pool OCluster 2025-05-21 10:43.10: Waiting for worker… 2025-05-21 10:43.16: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 495b9f40 Tentative domain-based stdout capture (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-21 10:45.32 ---> saved as "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 openh264 (From Cisco) - x86_ 100% | 9.3 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 191.8 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 167.8 KiB/s | 23.2 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 6.6 MiB/s | 9.6 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-21 10:45.43 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 10:45.44 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 10:46.43 ---> saved as "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 10:46.47 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 10:46.48 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" /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..f8fd9069a4 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) 2025-05-21 10:47.38 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 10:47.39 ---> saved as "b959751774b96fd56fa07ab914c7f680d6f2ab5d253b3cbc00f44b29e874cafd" /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) 2025-05-21 10:47.43 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 10:47.47 ---> saved as "45e1ac33b7920d781d1beb4d6f77c9934823b68dbecf868e72ec27d1816c58dd" /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 "yum" "makecache" - Updating and loading repositories: - Repositories loaded. - Metadata cache created. <><> 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 "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 316.1 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 107.7 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 21.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 341.1 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-21 10:48.19 ---> saved as "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd" /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 integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (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.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved 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 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 astring.0.8.5 -> installed ptime.1.2.0 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> 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 ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed integers.0.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.2 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_globalize.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) 2025-05-21 10:52.19 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-21 10:52.20 ---> saved as "6a4c228f30f0183320e5cf06b5c06ca101cae0934cdc08eb52c1b0a9d40a7b9d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/99bbad06b9df8f2c23507ed51fe532bf/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8aaab2409894e953abf152bb2c99d0ca/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/8aaab2409894e953abf152bb2c99d0ca/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982 Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972 Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639 Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758 Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421 Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846 Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984 Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515 Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905 Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775 Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116 Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696355 Batch=839, step=11640, lr=0.151750, batch loss=0.255783, epoch loss=2.952138 Batch=899, step=11700, lr=0.151500, batch loss=0.212942, epoch loss=3.165080 Batch=959, step=11760, lr=0.151250, batch loss=0.168195, epoch loss=3.333275 Batch=1019, step=11820, lr=0.150750, batch loss=0.266032, epoch loss=3.599307 Batch=1079, step=11880, lr=0.150750, batch loss=0.149463, epoch loss=3.748770 Batch=1139, step=11940, lr=0.150500, batch loss=0.185751, epoch loss=3.934521 Batch=1199, step=12000, lr=0.150250, batch loss=0.139452, epoch loss=4.073973 Epoch=9, step=12000, lr=0.150250, epoch loss=4.073973 Batch=59, step=12060, lr=0.150000, batch loss=0.157922, epoch loss=0.157922 Batch=119, step=12120, lr=0.149750, batch loss=0.128913, epoch loss=0.286835 Batch=179, step=12180, lr=0.149500, batch loss=0.150443, epoch loss=0.437278 Batch=239, step=12240, lr=0.149250, batch loss=0.223169, epoch loss=0.660447 Batch=299, step=12300, lr=0.149000, batch loss=0.142787, epoch loss=0.803235 Batch=359, step=12360, lr=0.148750, batch loss=0.195257, epoch loss=0.998492 Batch=419, step=12420, lr=0.148500, batch loss=0.206389, epoch loss=1.204881 Batch=479, step=12480, lr=0.148250, batch loss=0.178604, epoch loss=1.383485 Batch=539, step=12540, lr=0.148000, batch loss=0.142699, epoch loss=1.526184 Batch=599, step=12600, lr=0.147750, batch loss=0.150365, epoch loss=1.676549 Batch=659, step=12660, lr=0.147500, batch loss=0.224985, epoch loss=1.901534 Batch=719, step=12720, lr=0.147250, batch loss=0.235147, epoch loss=2.136681 Batch=779, step=12780, lr=0.147000, batch loss=0.252842, epoch loss=2.389523 Batch=839, step=12840, lr=0.146750, batch loss=0.224876, epoch loss=2.614399 Batch=899, step=12900, lr=0.146500, batch loss=0.185407, epoch loss=2.799806 Batch=959, step=12960, lr=0.146250, batch loss=0.148736, epoch loss=2.948542 Batch=1019, step=13020, lr=0.146000, batch loss=0.268283, epoch loss=3.216826 Batch=1079, step=13080, lr=0.145750, batch loss=0.115160, epoch loss=3.331986 Batch=1139, step=13140, lr=0.145500, batch loss=0.155516, epoch loss=3.487502 Batch=1199, step=13200, lr=0.145250, batch loss=0.118537, epoch loss=3.606038 Epoch=10, step=13200, lr=0.145250, epoch loss=3.606038 Batch=59, step=13260, lr=0.145000, batch loss=0.143244, epoch loss=0.143244 Batch=119, step=13320, lr=0.144750, batch loss=0.119801, epoch loss=0.263045 Batch=179, step=13380, lr=0.144500, batch loss=0.127206, epoch loss=0.390251 Batch=239, step=13440, lr=0.144250, batch loss=0.186723, epoch loss=0.576975 Batch=299, step=13500, lr=0.144000, batch loss=0.112862, epoch loss=0.689836 Batch=359, step=13560, lr=0.143750, batch loss=0.161493, epoch loss=0.851330 Batch=419, step=13620, lr=0.143500, batch loss=0.160683, epoch loss=1.012013 Batch=479, step=13680, lr=0.143250, batch loss=0.147218, epoch loss=1.159231 Batch=539, step=13740, lr=0.143000, batch loss=0.118143, epoch loss=1.277374 Batch=599, step=13800, lr=0.142750, batch loss=0.119979, epoch loss=1.397353 Batch=659, step=13860, lr=0.142500, batch loss=0.174568, epoch loss=1.571921 Batch=719, step=13920, lr=0.142250, batch loss=0.177135, epoch loss=1.749056 Batch=779, step=13980, lr=0.142000, batch loss=0.196828, epoch loss=1.945884 Batch=839, step=14040, lr=0.141750, batch loss=0.192733, epoch loss=2.138617 Batch=899, step=14100, lr=0.141500, batch loss=0.208057, epoch loss=2.346674 Batch=959, step=14160, lr=0.141250, batch loss=0.106222, epoch loss=2.452897 Batch=1019, step=14220, lr=0.141000, batch loss=0.190762, epoch loss=2.643659 Batch=1079, step=14280, lr=0.140750, batch loss=0.082325, epoch loss=2.725983 Batch=1139, step=14340, lr=0.140500, batch loss=0.134464, epoch loss=2.860447 Batch=1199, step=14400, lr=0.140250, batch loss=0.087210, epoch loss=2.947657 Epoch=11, step=14400, lr=0.140250, epoch loss=2.947657 Batch=59, step=14460, lr=0.140000, batch loss=0.102530, epoch loss=0.102530 Batch=119, step=14520, lr=0.139750, batch loss=0.099978, epoch loss=0.202508 Batch=179, step=14580, lr=0.139500, batch loss=0.098665, epoch loss=0.301173 Batch=239, step=14640, lr=0.139250, batch loss=0.143307, epoch loss=0.444480 Batch=299, step=14700, lr=0.139000, batch loss=0.086886, epoch loss=0.531365 Batch=359, step=14760, lr=0.138750, batch loss=0.147899, epoch loss=0.679265 Batch=419, step=14820, lr=0.138500, batch loss=0.208219, epoch loss=0.887484 Batch=479, step=14880, lr=0.138250, batch loss=0.090914, epoch loss=0.978397 Batch=539, step=14940, lr=0.138000, batch loss=0.071891, epoch loss=1.050288 Batch=599, step=15000, lr=0.137750, batch loss=0.099091, epoch loss=1.149379 Batch=659, step=15060, lr=0.137500, batch loss=0.129962, epoch loss=1.279341 Batch=719, step=15120, lr=0.137250, batch loss=0.121051, epoch loss=1.400392 Batch=779, step=15180, lr=0.137000, batch loss=0.136123, epoch loss=1.536515 Batch=839, step=15240, lr=0.136750, batch loss=0.157469, epoch loss=1.693984 Batch=899, step=15300, lr=0.136500, batch loss=0.222928, epoch loss=1.916912 Batch=959, step=15360, lr=0.136250, batch loss=0.056875, epoch loss=1.973787 Batch=1019, step=15420, lr=0.136000, batch loss=0.135963, epoch loss=2.109750 Batch=1079, step=15480, lr=0.135750, batch loss=0.050701, epoch loss=2.160451 Batch=1139, step=15540, lr=0.135500, batch loss=0.109182, epoch loss=2.269633 Batch=1199, step=15600, lr=0.135250, batch loss=0.059882, epoch loss=2.329515 Epoch=12, step=15600, lr=0.135250, epoch loss=2.329515 Batch=59, step=15660, lr=0.135000, batch loss=0.083907, epoch loss=0.083907 Batch=119, step=15720, lr=0.134750, batch loss=0.128652, epoch loss=0.212559 Batch=179, step=15780, lr=0.134500, batch loss=0.094151, epoch loss=0.306710 Batch=239, step=15840, lr=0.134250, batch loss=0.094673, epoch loss=0.401383 Batch=299, step=15900, lr=0.134000, batch loss=0.039542, epoch loss=0.440925 Batch=359, step=15960, lr=0.133750, batch loss=0.082819, epoch loss=0.523744 Batch=419, step=16020, lr=0.133500, batch loss=0.078602, epoch loss=0.602346 Batch=479, step=16080, lr=0.133250, batch loss=0.061030, epoch loss=0.663376 Batch=539, step=16140, lr=0.133000, batch loss=0.058107, epoch loss=0.721482 Batch=599, step=16200, lr=0.132750, batch loss=0.135377, epoch loss=0.856859 Batch=659, step=16260, lr=0.132500, batch loss=0.084669, epoch loss=0.941528 Batch=719, step=16320, lr=0.132250, batch loss=0.123049, epoch loss=1.064577 Batch=779, step=16380, lr=0.132000, batch loss=0.266324, epoch loss=1.330901 Batch=839, step=16440, lr=0.131750, batch loss=0.089582, epoch loss=1.420483 Batch=899, step=16500, lr=0.131500, batch loss=0.077987, epoch loss=1.498470 Batch=959, step=16560, lr=0.131250, batch loss=0.042722, epoch loss=1.541192 Batch=1019, step=16620, lr=0.131000, batch loss=0.095414, epoch loss=1.636606 Batch=1079, step=16680, lr=0.130750, batch loss=0.033419, epoch loss=1.670025 Batch=1139, step=16740, lr=0.130500, batch loss=0.072283, epoch loss=1.742308 Batch=1199, step=16800, lr=0.130250, batch loss=0.034004, epoch loss=1.776312 Epoch=13, step=16800, lr=0.130250, epoch loss=1.776312 Batch=59, step=16860, lr=0.130000, batch loss=0.036500, epoch loss=0.036500 Batch=119, step=16920, lr=0.129750, batch loss=0.035846, epoch loss=0.072346 Batch=179, step=16980, lr=0.129500, batch loss=0.042594, epoch loss=0.114940 Batch=239, step=17040, lr=0.129250, batch loss=0.056533, epoch loss=0.171473 Batch=299, step=17100, lr=0.129000, batch loss=0.018583, epoch loss=0.190055 Batch=359, step=17160, lr=0.128750, batch loss=0.042190, epoch loss=0.232246 Batch=419, step=17220, lr=0.128500, batch loss=0.055417, epoch loss=0.287663 Batch=479, step=17280, lr=0.128250, batch loss=0.034139, epoch loss=0.321802 Batch=539, step=17340, lr=0.128000, batch loss=0.063750, epoch loss=0.385552 Batch=599, step=17400, lr=0.127750, batch loss=0.035423, epoch loss=0.420975 Batch=659, step=17460, lr=0.127500, batch loss=0.047845, epoch loss=0.468820 Batch=719, step=17520, lr=0.127250, batch loss=0.053908, epoch loss=0.522728 Batch=779, step=17580, lr=0.127000, batch loss=0.110043, epoch loss=0.632771 Batch=839, step=17640, lr=0.126750, batch loss=0.097855, epoch loss=0.730625 Batch=899, step=17700, lr=0.126500, batch loss=0.143037, epoch loss=0.873663 Batch=959, step=17760, lr=0.126250, batch loss=0.019625, epoch loss=0.893287 Batch=1019, step=17820, lr=0.126000, batch loss=0.042398, epoch loss=0.935685 Batch=1079, step=17880, lr=0.125750, batch loss=0.014080, epoch loss=0.949765 Batch=1139, step=17940, lr=0.125500, batch loss=0.037583, epoch loss=0.987348 Batch=1199, step=18000, lr=0.125250, batch loss=0.015981, epoch loss=1.003329 Epoch=14, step=18000, lr=0.125250, epoch loss=1.003329 Batch=59, step=18060, lr=0.125000, batch loss=0.011169, epoch loss=0.011169 Batch=119, step=18120, lr=0.124750, batch loss=0.019752, epoch loss=0.030921 Batch=179, step=18180, lr=0.124500, batch loss=0.034998, epoch loss=0.065919 Batch=239, step=18240, lr=0.124250, batch loss=0.036891, epoch loss=0.102809 Batch=299, step=18300, lr=0.124000, batch loss=0.015783, epoch loss=0.118592 Batch=359, step=18360, lr=0.123750, batch loss=0.024026, epoch loss=0.142618 Batch=419, step=18420, lr=0.123500, batch loss=0.031474, epoch loss=0.174093 Batch=479, step=18480, lr=0.123250, batch loss=0.022304, epoch loss=0.196397 Batch=539, step=18540, lr=0.123000, batch loss=0.045644, epoch loss=0.242041 Batch=599, step=18600, lr=0.122750, batch loss=0.025745, epoch loss=0.267786 Batch=659, step=18660, lr=0.122500, batch loss=0.035708, epoch loss=0.303494 Batch=719, step=18720, lr=0.122250, batch loss=0.033503, epoch loss=0.336997 Batch=779, step=18780, lr=0.122000, batch loss=0.081325, epoch loss=0.418322 Batch=839, step=18840, lr=0.121750, batch loss=0.049586, epoch loss=0.467908 Batch=899, step=18900, lr=0.121500, batch loss=0.051465, epoch loss=0.519373 Batch=959, step=18960, lr=0.121250, batch loss=0.015669, epoch loss=0.535042 Batch=1019, step=19020, lr=0.121000, batch loss=0.027920, epoch loss=0.562962 Batch=1079, step=19080, lr=0.120750, batch loss=0.011848, epoch loss=0.574810 Batch=1139, step=19140, lr=0.120500, batch loss=0.023204, epoch loss=0.598014 Batch=1199, step=19200, lr=0.120250, batch loss=0.009764, epoch loss=0.607777 Epoch=15, step=19200, lr=0.120250, epoch loss=0.607777 Batch=59, step=19260, lr=0.120000, batch loss=0.004958, epoch loss=0.004958 Batch=119, step=19320, lr=0.119750, batch loss=0.020510, epoch loss=0.025469 Batch=179, step=19380, lr=0.119500, batch loss=0.053756, epoch loss=0.079224 Batch=239, step=19440, lr=0.119250, batch loss=0.023315, epoch loss=0.102539 Batch=299, step=19500, lr=0.119000, batch loss=0.020206, epoch loss=0.122746 Batch=359, step=19560, lr=0.118750, batch loss=0.031925, epoch loss=0.154671 Batch=419, step=19620, lr=0.118500, batch loss=0.020062, epoch loss=0.174733 Batch=479, step=19680, lr=0.118250, batch loss=0.007253, epoch loss=0.181986 Batch=539, step=19740, lr=0.118000, batch loss=0.019295, epoch loss=0.201281 Batch=599, step=19800, lr=0.117750, batch loss=0.023596, epoch loss=0.224878 Batch=659, step=19860, lr=0.117500, batch loss=0.020301, epoch loss=0.245178 Batch=719, step=19920, lr=0.117250, batch loss=0.052162, epoch loss=0.297340 Batch=779, step=19980, lr=0.117000, batch loss=0.085617, epoch loss=0.382957 Batch=839, step=20040, lr=0.116750, batch loss=0.030691, epoch loss=0.413648 Batch=899, step=20100, lr=0.116500, batch loss=0.032849, epoch loss=0.446497 Batch=959, step=20160, lr=0.116250, batch loss=0.011848, epoch loss=0.458345 Batch=1019, step=20220, lr=0.116000, batch loss=0.017276, epoch loss=0.475621 Batch=1079, step=20280, lr=0.115750, batch loss=0.002836, epoch loss=0.478458 Batch=1139, step=20340, lr=0.115500, batch loss=0.014868, epoch loss=0.493325 Batch=1199, step=20400, lr=0.115250, batch loss=0.007789, epoch loss=0.501114 Epoch=16, step=20400, lr=0.115250, epoch loss=0.501114 Batch=59, step=20460, lr=0.115000, batch loss=0.003775, epoch loss=0.003775 Batch=119, step=20520, lr=0.114750, batch loss=0.008467, epoch loss=0.012241 Batch=179, step=20580, lr=0.114500, batch loss=0.015319, epoch loss=0.027561 Batch=239, step=20640, lr=0.114250, batch loss=0.012904, epoch loss=0.040465 Batch=299, step=20700, lr=0.114000, batch loss=0.005277, epoch loss=0.045742 Batch=359, step=20760, lr=0.113750, batch loss=0.014586, epoch loss=0.060328 Batch=419, step=20820, lr=0.113500, batch loss=0.014287, epoch loss=0.074615 Batch=479, step=20880, lr=0.113250, batch loss=0.006222, epoch loss=0.080837 Batch=539, step=20940, lr=0.113000, batch loss=0.016909, epoch loss=0.097746 Batch=599, step=21000, lr=0.112750, batch loss=0.017837, epoch loss=0.115584 Batch=659, step=21060, lr=0.112500, batch loss=0.012188, epoch loss=0.127772 Batch=719, step=21120, lr=0.112250, batch loss=0.033444, epoch loss=0.161216 Batch=779, step=21180, lr=0.112000, batch loss=0.049154, epoch loss=0.210370 Batch=839, step=21240, lr=0.111750, batch loss=0.026209, epoch loss=0.236579 Batch=899, step=21300, lr=0.111500, batch loss=0.029329, epoch loss=0.265908 Batch=959, step=21360, lr=0.111250, batch loss=0.012909, epoch loss=0.278817 Batch=1019, step=21420, lr=0.111000, batch loss=0.011036, epoch loss=0.289852 Batch=1079, step=21480, lr=0.110750, batch loss=0.001549, epoch loss=0.291402 Batch=1139, step=21540, lr=0.110500, batch loss=0.012304, epoch loss=0.303706 Batch=1199, step=21600, lr=0.110250, batch loss=0.004619, epoch loss=0.308325 Epoch=17, step=21600, lr=0.110250, epoch loss=0.308325 Batch=59, step=21660, lr=0.110000, batch loss=0.001834, epoch loss=0.001834 Batch=119, step=21720, lr=0.109750, batch loss=0.007489, epoch loss=0.009322 Batch=179, step=21780, lr=0.109500, batch loss=0.012236, epoch loss=0.021559 Batch=239, step=21840, lr=0.109250, batch loss=0.009377, epoch loss=0.030935 Batch=299, step=21900, lr=0.109000, batch loss=0.007275, epoch loss=0.038210 Batch=359, step=21960, lr=0.108750, batch loss=0.016590, epoch loss=0.054800 Batch=419, step=22020, lr=0.108500, batch loss=0.012513, epoch loss=0.067314 Batch=479, step=22080, lr=0.108250, batch loss=0.002801, epoch loss=0.070115 Batch=539, step=22140, lr=0.108000, batch loss=0.016563, epoch loss=0.086678 Batch=599, step=22200, lr=0.107750, batch loss=0.015363, epoch loss=0.102041 Batch=659, step=22260, lr=0.107500, batch loss=0.013016, epoch loss=0.115058 Batch=719, step=22320, lr=0.107250, batch loss=0.018314, epoch loss=0.133371 Batch=779, step=22380, lr=0.107000, batch loss=0.023264, epoch loss=0.156635 Batch=839, step=22440, lr=0.106750, batch loss=0.027122, epoch loss=0.183757 Batch=899, step=22500, lr=0.106500, batch loss=0.025067, epoch loss=0.208824 Batch=959, step=22560, lr=0.106250, batch loss=0.009326, epoch loss=0.218150 Batch=1019, step=22620, lr=0.106000, batch loss=0.008798, epoch loss=0.226948 Batch=1079, step=22680, lr=0.105750, batch loss=0.001782, epoch loss=0.228730 Batch=1139, step=22740, lr=0.105500, batch loss=0.010607, epoch loss=0.239337 Batch=1199, step=22800, lr=0.105250, batch loss=0.005205, epoch loss=0.244541 Epoch=18, step=22800, lr=0.105250, epoch loss=0.244541 Batch=59, step=22860, lr=0.105000, batch loss=0.002683, epoch loss=0.002683 Batch=119, step=22920, lr=0.104750, batch loss=0.004800, epoch loss=0.007483 Batch=179, step=22980, lr=0.104500, batch loss=0.012406, epoch loss=0.019888 Batch=239, step=23040, lr=0.104250, batch loss=0.008558, epoch loss=0.028447 Batch=299, step=23100, lr=0.104000, batch loss=0.004131, epoch loss=0.032578 Batch=359, step=23160, lr=0.103750, batch loss=0.012118, epoch loss=0.044695 Batch=419, step=23220, lr=0.103500, batch loss=0.010581, epoch loss=0.055276 Batch=479, step=23280, lr=0.103250, batch loss=0.003616, epoch loss=0.058892 Batch=539, step=23340, lr=0.103000, batch loss=0.015333, epoch loss=0.074225 Batch=599, step=23400, lr=0.102750, batch loss=0.013453, epoch loss=0.087678 Batch=659, step=23460, lr=0.102500, batch loss=0.011085, epoch loss=0.098763 Batch=719, step=23520, lr=0.102250, batch loss=0.015523, epoch loss=0.114286 Batch=779, step=23580, lr=0.102000, batch loss=0.021917, epoch loss=0.136203 Batch=839, step=23640, lr=0.101750, batch loss=0.022736, epoch loss=0.158939 Batch=899, step=23700, lr=0.101500, batch loss=0.025263, epoch loss=0.184201 Batch=959, step=23760, lr=0.101250, batch loss=0.007936, epoch loss=0.192138 Batch=1019, step=23820, lr=0.101000, batch loss=0.007033, epoch loss=0.199171 Batch=1079, step=23880, lr=0.100750, batch loss=0.001103, epoch loss=0.200274 Batch=1139, step=23940, lr=0.100500, batch loss=0.008221, epoch loss=0.208495 Batch=1199, step=24000, lr=0.100250, batch loss=0.004200, epoch loss=0.212695 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212695 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 2025-05-21 10:52.53: Job failed: Failed: Build failed