2025-06-05 13:22.25: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (12bc3d565917e3fd58e02b846b19d1bac90a0ae3) (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 12bc3d56 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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-06-05 13:22.25: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-06-05 13:22.25: 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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-06-05 13:22.25: Waiting for resource in pool OCluster 2025-06-05 13:22.25: Waiting for worker… 2025-06-05 13:31.03: Got resource from pool OCluster Building on bremusa.ocamllabs.io HEAD is now at 24ee10fe Support padding via pre-padded ndarrays (my idea, Claude's code) HEAD is now at 12bc3d56 Factor out dim_solved, bug fix s_dim_one, formatting (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-06-05 13:31.34 ---> using "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" from cache /: (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% | 9.9 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 193.1 KiB/s | 25.9 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 195.0 KiB/s | 25.5 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 6.6 MiB/s | 9.9 MiB | 00m02s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-06-05 13:31.34 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-05 13:31.34 ---> using "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [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 2025-06-05 13:31.34 ---> using "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-59-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-05 13:31.34 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-05 13:31.34 ---> using "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..fc511aa5a8 master -> origin/master 5d2fb3923b Merge pull request #27963 from mseri/base-ppxlib <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:31.34 ---> using "e4fd8e4a0f2d444f43673e87312c198fcdd61d7b861d2ccebedbe8d8dedfa786" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-05 13:31.34 ---> using "fc05b1093c03a885f9bd20c2ff51632cc6f3c9fdc954a5aae14d623f661c2b45" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-06-05 13:31.34 ---> using "5110ca171b1d4f993212fa0abdef02b32229bad892d24d00364d4a4a4bd62683" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-05 13:31.34 ---> using "790c5392935d91ae8dcbed31534648707c169cff25e33653293db6706c80b917" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.1 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "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% | 532.7 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 154.6 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 66.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 828.4 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-06-05 13:31.34 ---> using "a6fe1b5ea87ae9b12d6371060eaf79685b73973a2c5f24a9f5ac3e6a726a57ca" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.19.0 - install dune-configurator 3.19.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.1 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (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 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.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (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) -> 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 ppxlib.0.35.0 (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 topkg.1.0.8 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed 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 ppxlib.0.35.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:31.34 ---> using "c98c96755d84e8d4edba59eb78ee8d011fd46904e65a655883eea2a7d27e1296" from cache /src: (copy (src .) (dst /src)) 2025-06-05 13:31.35 ---> saved as "e50a02ca875cffd3cb2fb8880a8879d223dfdd414d6470b40c793a0e7f1af0ca" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7e45184ef98d3b7f128af1fa5dc19d7a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca8ea76f153e6835060b6846a2e1b4d2/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/ca8ea76f153e6835060b6846a2e1b4d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199000, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.435625, epoch loss=37.061721 Batch=359, step=360, lr=0.198750, batch loss=1.340057, epoch loss=38.401778 Batch=419, step=420, lr=0.198250, batch loss=0.610848, epoch loss=39.012626 Batch=479, step=480, lr=0.198000, batch loss=0.746512, epoch loss=39.759138 Batch=539, step=540, lr=0.197750, batch loss=0.688843, epoch loss=40.447981 Batch=599, step=600, lr=0.197750, batch loss=1.101845, epoch loss=41.549826 Batch=659, step=660, lr=0.197250, batch loss=0.481892, epoch loss=42.031718 Batch=719, step=720, lr=0.197000, batch loss=0.410675, epoch loss=42.442394 Batch=779, step=780, lr=0.196750, batch loss=0.469189, epoch loss=42.911582 Batch=839, step=840, lr=0.196500, batch loss=0.450449, epoch loss=43.362031 Batch=899, step=900, lr=0.196250, batch loss=0.383663, epoch loss=43.745695 Batch=959, step=960, lr=0.196000, batch loss=0.268209, epoch loss=44.013903 Batch=1019, step=1020, lr=0.195750, batch loss=0.487321, epoch loss=44.501224 Batch=1079, step=1080, lr=0.195500, batch loss=0.265475, epoch loss=44.766699 Batch=1139, step=1140, lr=0.195250, batch loss=0.330702, epoch loss=45.097401 Batch=1199, step=1200, lr=0.195250, batch loss=0.265437, epoch loss=45.362838 Epoch=0, step=1200, lr=0.195250, epoch loss=45.362838 Batch=59, step=1260, lr=0.195000, batch loss=0.263379, epoch loss=0.263379 Batch=119, step=1320, lr=0.194500, batch loss=0.204600, epoch loss=0.467979 Batch=179, step=1380, lr=0.194500, batch loss=0.246183, epoch loss=0.714162 Batch=239, step=1440, lr=0.194000, batch loss=0.350067, epoch loss=1.064229 Batch=299, step=1500, lr=0.194000, batch loss=0.238252, epoch loss=1.302482 Batch=359, step=1560, lr=0.193750, batch loss=0.314778, epoch loss=1.617260 Batch=419, step=1620, lr=0.193250, batch loss=0.311262, epoch loss=1.928521 Batch=479, step=1680, lr=0.193250, batch loss=0.278313, epoch loss=2.206834 Batch=539, step=1740, lr=0.193000, batch loss=0.213566, epoch loss=2.420401 Batch=599, step=1800, lr=0.192750, batch loss=0.258838, epoch loss=2.679239 Batch=659, step=1860, lr=0.192500, batch loss=0.371732, epoch loss=3.050971 Batch=719, step=1920, lr=0.192250, batch loss=0.367630, epoch loss=3.418601 Batch=779, step=1980, lr=0.191750, batch loss=0.387185, epoch loss=3.805786 Batch=839, step=2040, lr=0.191500, batch loss=0.350716, epoch loss=4.156502 Batch=899, step=2100, lr=0.191500, batch loss=0.326830, epoch loss=4.483333 Batch=959, step=2160, lr=0.191250, batch loss=0.254552, epoch loss=4.737885 Batch=1019, step=2220, lr=0.190750, batch loss=0.390499, epoch loss=5.128385 Batch=1079, step=2280, lr=0.190500, batch loss=0.205684, epoch loss=5.334069 Batch=1139, step=2340, lr=0.190500, batch loss=0.261242, epoch loss=5.595311 Batch=1199, step=2400, lr=0.190000, batch loss=0.213012, epoch loss=5.808322 Epoch=1, step=2400, lr=0.190000, epoch loss=5.808322 Batch=59, step=2460, lr=0.189750, batch loss=0.235511, epoch loss=0.235511 Batch=119, step=2520, lr=0.189500, batch loss=0.197545, epoch loss=0.433056 Batch=179, step=2580, lr=0.189250, batch loss=0.222212, epoch loss=0.655268 Batch=239, step=2640, lr=0.189250, batch loss=0.331618, epoch loss=0.986886 Batch=299, step=2700, lr=0.189000, batch loss=0.208335, epoch loss=1.195221 Batch=359, step=2760, lr=0.188500, batch loss=0.292012, epoch loss=1.487233 Batch=419, step=2820, lr=0.188500, batch loss=0.285378, epoch loss=1.772611 Batch=479, step=2880, lr=0.188250, batch loss=0.262354, epoch loss=2.034965 Batch=539, step=2940, lr=0.187750, batch loss=0.196750, epoch loss=2.231715 Batch=599, step=3000, lr=0.187750, batch loss=0.235022, epoch loss=2.466737 Batch=659, step=3060, lr=0.187250, batch loss=0.342346, epoch loss=2.809082 Batch=719, step=3120, lr=0.187000, batch loss=0.343734, epoch loss=3.152816 Batch=779, step=3180, lr=0.186750, batch loss=0.364775, epoch loss=3.517591 Batch=839, step=3240, lr=0.186750, batch loss=0.325858, epoch loss=3.843448 Batch=899, step=3300, lr=0.186250, batch loss=0.291499, epoch loss=4.134948 Batch=959, step=3360, lr=0.186250, batch loss=0.209703, epoch loss=4.344650 Batch=1019, step=3420, lr=0.186000, batch loss=0.307971, epoch loss=4.652622 Batch=1079, step=3480, lr=0.185750, batch loss=0.178384, epoch loss=4.831006 Batch=1139, step=3540, lr=0.185250, batch loss=0.235957, epoch loss=5.066963 Batch=1199, step=3600, lr=0.185250, batch loss=0.200080, epoch loss=5.267042 Epoch=2, step=3600, lr=0.185250, epoch loss=5.267042 Batch=59, step=3660, lr=0.185000, batch loss=0.225342, epoch loss=0.225342 Batch=119, step=3720, lr=0.184750, batch loss=0.194627, epoch loss=0.419970 Batch=179, step=3780, lr=0.184250, batch loss=0.212575, epoch loss=0.632545 Batch=239, step=3840, lr=0.184250, batch loss=0.317544, epoch loss=0.950089 Batch=299, step=3900, lr=0.183750, batch loss=0.211423, epoch loss=1.161512 Batch=359, step=3960, lr=0.183750, batch loss=0.298443, epoch loss=1.459955 Batch=419, step=4020, lr=0.183250, batch loss=0.303181, epoch loss=1.763136 Batch=479, step=4080, lr=0.183250, batch loss=0.259248, epoch loss=2.022384 Batch=539, step=4140, lr=0.183000, batch loss=0.198847, epoch loss=2.221231 Batch=599, step=4200, lr=0.182750, batch loss=0.244948, epoch loss=2.466179 Batch=659, step=4260, lr=0.182250, batch loss=0.327866, epoch loss=2.794045 Batch=719, step=4320, lr=0.182000, batch loss=0.326955, epoch loss=3.121000 Batch=779, step=4380, lr=0.182000, batch loss=0.352537, epoch loss=3.473538 Batch=839, step=4440, lr=0.181750, batch loss=0.318016, epoch loss=3.791554 Batch=899, step=4500, lr=0.181250, batch loss=0.286496, epoch loss=4.078050 Batch=959, step=4560, lr=0.181250, batch loss=0.237425, epoch loss=4.315475 Batch=1019, step=4620, lr=0.180750, batch loss=0.332759, epoch loss=4.648235 Batch=1079, step=4680, lr=0.180500, batch loss=0.197113, epoch loss=4.845348 Batch=1139, step=4740, lr=0.180500, batch loss=0.229074, epoch loss=5.074422 Batch=1199, step=4800, lr=0.180000, batch loss=0.195320, epoch loss=5.269741 Epoch=3, step=4800, lr=0.180000, epoch loss=5.269741 Batch=59, step=4860, lr=0.180000, batch loss=0.240042, epoch loss=0.240042 Batch=119, step=4920, lr=0.179500, batch loss=0.198647, epoch loss=0.438689 Batch=179, step=4980, lr=0.179500, batch loss=0.207029, epoch loss=0.645718 Batch=239, step=5040, lr=0.179000, batch loss=0.307850, epoch loss=0.953568 Batch=299, step=5100, lr=0.178750, batch loss=0.200607, epoch loss=1.154175 Batch=359, step=5160, lr=0.178500, batch loss=0.275908, epoch loss=1.430083 Batch=419, step=5220, lr=0.178500, batch loss=0.265191, epoch loss=1.695274 Batch=479, step=5280, lr=0.178000, batch loss=0.239703, epoch loss=1.934977 Batch=539, step=5340, lr=0.177750, batch loss=0.192024, epoch loss=2.127001 Batch=599, step=5400, lr=0.177750, batch loss=0.229368, epoch loss=2.356369 Batch=659, step=5460, lr=0.177250, batch loss=0.327475, epoch loss=2.683844 Batch=719, step=5520, lr=0.177000, batch loss=0.332378, epoch loss=3.016222 Batch=779, step=5580, lr=0.177000, batch loss=0.344538, epoch loss=3.360760 Batch=839, step=5640, lr=0.176500, batch loss=0.308867, epoch loss=3.669628 Batch=899, step=5700, lr=0.176500, batch loss=0.272162, epoch loss=3.941789 Batch=959, step=5760, lr=0.176250, batch loss=0.215110, epoch loss=4.156899 Batch=1019, step=5820, lr=0.176000, batch loss=0.341600, epoch loss=4.498500 Batch=1079, step=5880, lr=0.175500, batch loss=0.204412, epoch loss=4.702911 Batch=1139, step=5940, lr=0.175500, batch loss=0.241620, epoch loss=4.944531 Batch=1199, step=6000, lr=0.175250, batch loss=0.185936, epoch loss=5.130468 Epoch=4, step=6000, lr=0.175250, epoch loss=5.130468 Batch=59, step=6060, lr=0.175000, batch loss=0.222188, epoch loss=0.222188 Batch=119, step=6120, lr=0.174500, batch loss=0.187462, epoch loss=0.409650 Batch=179, step=6180, lr=0.174250, batch loss=0.202254, epoch loss=0.611904 Batch=239, step=6240, lr=0.174000, batch loss=0.303426, epoch loss=0.915331 Batch=299, step=6300, lr=0.174000, batch loss=0.211845, epoch loss=1.127175 Batch=359, step=6360, lr=0.173500, batch loss=0.271156, epoch loss=1.398332 Batch=419, step=6420, lr=0.173250, batch loss=0.265096, epoch loss=1.663427 Batch=479, step=6480, lr=0.173250, batch loss=0.244949, epoch loss=1.908376 Batch=539, step=6540, lr=0.172750, batch loss=0.190929, epoch loss=2.099306 Batch=599, step=6600, lr=0.172500, batch loss=0.229696, epoch loss=2.329002 Batch=659, step=6660, lr=0.172250, batch loss=0.315689, epoch loss=2.644691 Batch=719, step=6720, lr=0.172000, batch loss=0.318026, epoch loss=2.962716 Batch=779, step=6780, lr=0.172000, batch loss=0.331718, epoch loss=3.294434 Batch=839, step=6840, lr=0.171500, batch loss=0.306485, epoch loss=3.600920 Batch=899, step=6900, lr=0.171250, batch loss=0.271212, epoch loss=3.872131 Batch=959, step=6960, lr=0.171000, batch loss=0.206566, epoch loss=4.078697 Batch=1019, step=7020, lr=0.170750, batch loss=0.327884, epoch loss=4.406581 Batch=1079, step=7080, lr=0.170500, batch loss=0.174260, epoch loss=4.580841 Batch=1139, step=7140, lr=0.170250, batch loss=0.213493, epoch loss=4.794335 Batch=1199, step=7200, lr=0.170000, batch loss=0.187412, epoch loss=4.981747 Epoch=5, step=7200, lr=0.170000, epoch loss=4.981747 Batch=59, step=7260, lr=0.170000, batch loss=0.231460, epoch loss=0.231460 Batch=119, step=7320, lr=0.169750, batch loss=0.185473, epoch loss=0.416932 Batch=179, step=7380, lr=0.169250, batch loss=0.195053, epoch loss=0.611985 Batch=239, step=7440, lr=0.169000, batch loss=0.290231, epoch loss=0.902216 Batch=299, step=7500, lr=0.168750, batch loss=0.201507, epoch loss=1.103723 Batch=359, step=7560, lr=0.168500, batch loss=0.258956, epoch loss=1.362679 Batch=419, step=7620, lr=0.168500, batch loss=0.256870, epoch loss=1.619549 Batch=479, step=7680, lr=0.168250, batch loss=0.237134, epoch loss=1.856684 Batch=539, step=7740, lr=0.167750, batch loss=0.188362, epoch loss=2.045045 Batch=599, step=7800, lr=0.167500, batch loss=0.222529, epoch loss=2.267574 Batch=659, step=7860, lr=0.167250, batch loss=0.306751, epoch loss=2.574325 Batch=719, step=7920, lr=0.167250, batch loss=0.307969, epoch loss=2.882293 Batch=779, step=7980, lr=0.167000, batch loss=0.323219, epoch loss=3.205512 Batch=839, step=8040, lr=0.166500, batch loss=0.296056, epoch loss=3.501568 Batch=899, step=8100, lr=0.166250, batch loss=0.260585, epoch loss=3.762153 Batch=959, step=8160, lr=0.166250, batch loss=0.207374, epoch loss=3.969527 Batch=1019, step=8220, lr=0.166000, batch loss=0.320483, epoch loss=4.290010 Batch=1079, step=8280, lr=0.165750, batch loss=0.170499, epoch loss=4.460509 Batch=1139, step=8340, lr=0.165250, batch loss=0.207225, epoch loss=4.667735 Batch=1199, step=8400, lr=0.165250, batch loss=0.178862, epoch loss=4.846597 Epoch=6, step=8400, lr=0.165250, epoch loss=4.846597 Batch=59, step=8460, lr=0.165000, batch loss=0.228699, epoch loss=0.228699 Batch=119, step=8520, lr=0.164500, batch loss=0.175974, epoch loss=0.404673 Batch=179, step=8580, lr=0.164500, batch loss=0.188385, epoch loss=0.593058 Batch=239, step=8640, lr=0.164250, batch loss=0.278543, epoch loss=0.871600 Batch=299, step=8700, lr=0.164000, batch loss=0.191072, epoch loss=1.062672 Batch=359, step=8760, lr=0.163500, batch loss=0.250682, epoch loss=1.313354 Batch=419, step=8820, lr=0.163250, batch loss=0.245666, epoch loss=1.559021 Batch=479, step=8880, lr=0.163250, batch loss=0.227795, epoch loss=1.786815 Batch=539, step=8940, lr=0.162750, batch loss=0.180665, epoch loss=1.967480 Batch=599, step=9000, lr=0.162750, batch loss=0.216448, epoch loss=2.183929 Batch=659, step=9060, lr=0.162250, batch loss=0.296361, epoch loss=2.480290 Batch=719, step=9120, lr=0.162250, batch loss=0.293824, epoch loss=2.774114 Batch=779, step=9180, lr=0.162000, batch loss=0.319190, epoch loss=3.093305 Batch=839, step=9240, lr=0.161500, batch loss=0.285861, epoch loss=3.379166 Batch=899, step=9300, lr=0.161250, batch loss=0.252845, epoch loss=3.632011 Batch=959, step=9360, lr=0.161250, batch loss=0.210995, epoch loss=3.843006 Batch=1019, step=9420, lr=0.161000, batch loss=0.299423, epoch loss=4.142429 Batch=1079, step=9480, lr=0.160750, batch loss=0.174822, epoch loss=4.317251 Batch=1139, step=9540, lr=0.160250, batch loss=0.206966, epoch loss=4.524217 Batch=1199, step=9600, lr=0.160250, batch loss=0.164818, epoch loss=4.689035 Epoch=7, step=9600, lr=0.160250, epoch loss=4.689035 Batch=59, step=9660, lr=0.160000, batch loss=0.197367, epoch loss=0.197367 Batch=119, step=9720, lr=0.159750, batch loss=0.166553, epoch loss=0.363920 Batch=179, step=9780, lr=0.159250, batch loss=0.178930, epoch loss=0.542850 Batch=239, step=9840, lr=0.159000, batch loss=0.260887, epoch loss=0.803737 Batch=299, step=9900, lr=0.158750, batch loss=0.178827, epoch loss=0.982563 Batch=359, step=9960, lr=0.158750, batch loss=0.235994, epoch loss=1.218558 Batch=419, step=10020, lr=0.158250, batch loss=0.235729, epoch loss=1.454287 Batch=479, step=10080, lr=0.158250, batch loss=0.219210, epoch loss=1.673497 Batch=539, step=10140, lr=0.157750, batch loss=0.165532, epoch loss=1.839030 Batch=599, step=10200, lr=0.157750, batch loss=0.202146, epoch loss=2.041176 Batch=659, step=10260, lr=0.157500, batch loss=0.282759, epoch loss=2.323935 Batch=719, step=10320, lr=0.157000, batch loss=0.285247, epoch loss=2.609182 Batch=779, step=10380, lr=0.157000, batch loss=0.292730, epoch loss=2.901913 Batch=839, step=10440, lr=0.156500, batch loss=0.267236, epoch loss=3.169149 Batch=899, step=10500, lr=0.156500, batch loss=0.244308, epoch loss=3.413457 Batch=959, step=10560, lr=0.156250, batch loss=0.194590, epoch loss=3.608047 Batch=1019, step=10620, lr=0.156000, batch loss=0.280799, epoch loss=3.888846 Batch=1079, step=10680, lr=0.155500, batch loss=0.173602, epoch loss=4.062448 Batch=1139, step=10740, lr=0.155250, batch loss=0.198395, epoch loss=4.260843 Batch=1199, step=10800, lr=0.155000, batch loss=0.154619, epoch loss=4.415462 Epoch=8, step=10800, lr=0.155000, epoch loss=4.415462 Batch=59, step=10860, lr=0.154750, batch loss=0.179757, epoch loss=0.179757 Batch=119, step=10920, lr=0.154500, batch loss=0.151648, epoch loss=0.331405 Batch=179, step=10980, lr=0.154250, batch loss=0.165872, epoch loss=0.497277 Batch=239, step=11040, lr=0.154000, batch loss=0.243494, epoch loss=0.740771 Batch=299, step=11100, lr=0.154000, batch loss=0.166487, epoch loss=0.907258 Batch=359, step=11160, lr=0.153750, batch loss=0.223915, epoch loss=1.131173 Batch=419, step=11220, lr=0.153250, batch loss=0.227887, epoch loss=1.359060 Batch=479, step=11280, lr=0.153250, batch loss=0.204606, epoch loss=1.563666 Batch=539, step=11340, lr=0.152750, batch loss=0.158979, epoch loss=1.722644 Batch=599, step=11400, lr=0.152500, batch loss=0.186340, epoch loss=1.908985 Batch=659, step=11460, lr=0.152500, batch loss=0.262182, epoch loss=2.171166 Batch=719, step=11520, lr=0.152000, batch loss=0.257618, epoch loss=2.428784 Batch=779, step=11580, lr=0.151750, batch loss=0.270813, epoch loss=2.699597 Batch=839, step=11640, lr=0.151750, batch loss=0.256860, epoch loss=2.956457 Batch=899, step=11700, lr=0.151250, batch loss=0.217031, epoch loss=3.173487 Batch=959, step=11760, lr=0.151250, batch loss=0.178052, epoch loss=3.351539 Batch=1019, step=11820, lr=0.151000, batch loss=0.256982, epoch loss=3.608521 Batch=1079, step=11880, lr=0.150750, batch loss=0.148745, epoch loss=3.757266 Batch=1139, step=11940, lr=0.150250, batch loss=0.189732, epoch loss=3.946998 Batch=1199, step=12000, lr=0.150250, batch loss=0.140794, epoch loss=4.087791 Epoch=9, step=12000, lr=0.150250, epoch loss=4.087791 Batch=59, step=12060, lr=0.150000, batch loss=0.161945, epoch loss=0.161945 Batch=119, step=12120, lr=0.149750, batch loss=0.136729, epoch loss=0.298674 Batch=179, step=12180, lr=0.149500, batch loss=0.150918, epoch loss=0.449592 Batch=239, step=12240, lr=0.149000, batch loss=0.218634, epoch loss=0.668226 Batch=299, step=12300, lr=0.149000, batch loss=0.144642, epoch loss=0.812868 Batch=359, step=12360, lr=0.148500, batch loss=0.197513, epoch loss=1.010380 Batch=419, step=12420, lr=0.148500, batch loss=0.207854, epoch loss=1.218234 Batch=479, step=12480, lr=0.148250, batch loss=0.178653, epoch loss=1.396887 Batch=539, step=12540, lr=0.148000, batch loss=0.143693, epoch loss=1.540580 Batch=599, step=12600, lr=0.147750, batch loss=0.149034, epoch loss=1.689614 Batch=659, step=12660, lr=0.147250, batch loss=0.227611, epoch loss=1.917225 Batch=719, step=12720, lr=0.147250, batch loss=0.233281, epoch loss=2.150506 Batch=779, step=12780, lr=0.147000, batch loss=0.257192, epoch loss=2.407698 Batch=839, step=12840, lr=0.146500, batch loss=0.237894, epoch loss=2.645592 Batch=899, step=12900, lr=0.146250, batch loss=0.233380, epoch loss=2.878973 Batch=959, step=12960, lr=0.146000, batch loss=0.138541, epoch loss=3.017514 Batch=1019, step=13020, lr=0.146000, batch loss=0.213200, epoch loss=3.230714 Batch=1079, step=13080, lr=0.145500, batch loss=0.115556, epoch loss=3.346270 Batch=1139, step=13140, lr=0.145250, batch loss=0.152113, epoch loss=3.498383 Batch=1199, step=13200, lr=0.145000, batch loss=0.116201, epoch loss=3.614584 Epoch=10, step=13200, lr=0.145000, epoch loss=3.614584 Batch=59, step=13260, lr=0.145000, batch loss=0.140272, epoch loss=0.140272 Batch=119, step=13320, lr=0.144500, batch loss=0.121508, epoch loss=0.261780 Batch=179, step=13380, lr=0.144500, batch loss=0.128692, epoch loss=0.390472 Batch=239, step=13440, lr=0.144000, batch loss=0.194389, epoch loss=0.584861 Batch=299, step=13500, lr=0.144000, batch loss=0.133892, epoch loss=0.718753 Batch=359, step=13560, lr=0.143500, batch loss=0.159643, epoch loss=0.878396 Batch=419, step=13620, lr=0.143250, batch loss=0.158457, epoch loss=1.036852 Batch=479, step=13680, lr=0.143250, batch loss=0.149527, epoch loss=1.186380 Batch=539, step=13740, lr=0.143000, batch loss=0.118878, epoch loss=1.305258 Batch=599, step=13800, lr=0.142500, batch loss=0.120330, epoch loss=1.425588 Batch=659, step=13860, lr=0.142500, batch loss=0.182055, epoch loss=1.607643 Batch=719, step=13920, lr=0.142000, batch loss=0.197004, epoch loss=1.804647 Batch=779, step=13980, lr=0.141750, batch loss=0.222420, epoch loss=2.027068 Batch=839, step=14040, lr=0.141500, batch loss=0.202626, epoch loss=2.229693 Batch=899, step=14100, lr=0.141250, batch loss=0.216457, epoch loss=2.446150 Batch=959, step=14160, lr=0.141250, batch loss=0.101692, epoch loss=2.547843 Batch=1019, step=14220, lr=0.141000, batch loss=0.202077, epoch loss=2.749920 Batch=1079, step=14280, lr=0.140500, batch loss=0.075916, epoch loss=2.825836 Batch=1139, step=14340, lr=0.140500, batch loss=0.117106, epoch loss=2.942942 Batch=1199, step=14400, lr=0.140000, batch loss=0.085330, epoch loss=3.028272 Epoch=11, step=14400, lr=0.140000, epoch loss=3.028272 Batch=59, step=14460, lr=0.140000, batch loss=0.112161, epoch loss=0.112161 Batch=119, step=14520, lr=0.139500, batch loss=0.112017, epoch loss=0.224178 Batch=179, step=14580, lr=0.139500, batch loss=0.103180, epoch loss=0.327358 Batch=239, step=14640, lr=0.139250, batch loss=0.139804, epoch loss=0.467162 Batch=299, step=14700, lr=0.139000, batch loss=0.080856, epoch loss=0.548018 Batch=359, step=14760, lr=0.138750, batch loss=0.123157, epoch loss=0.671175 Batch=419, step=14820, lr=0.138250, batch loss=0.129040, epoch loss=0.800215 Batch=479, step=14880, lr=0.138250, batch loss=0.105522, epoch loss=0.905738 Batch=539, step=14940, lr=0.138000, batch loss=0.113106, epoch loss=1.018843 Batch=599, step=15000, lr=0.137750, batch loss=0.084649, epoch loss=1.103493 Batch=659, step=15060, lr=0.137500, batch loss=0.130808, epoch loss=1.234301 Batch=719, step=15120, lr=0.137250, batch loss=0.120667, epoch loss=1.354968 Batch=779, step=15180, lr=0.136750, batch loss=0.119305, epoch loss=1.474272 Batch=839, step=15240, lr=0.136500, batch loss=0.120856, epoch loss=1.595129 Batch=899, step=15300, lr=0.136500, batch loss=0.096821, epoch loss=1.691950 Batch=959, step=15360, lr=0.136000, batch loss=0.049011, epoch loss=1.740962 Batch=1019, step=15420, lr=0.135750, batch loss=0.084231, epoch loss=1.825192 Batch=1079, step=15480, lr=0.135750, batch loss=0.062365, epoch loss=1.887558 Batch=1139, step=15540, lr=0.135250, batch loss=0.169707, epoch loss=2.057264 Batch=1199, step=15600, lr=0.135000, batch loss=0.054826, epoch loss=2.112091 Epoch=12, step=15600, lr=0.135000, epoch loss=2.112091 Batch=59, step=15660, lr=0.134750, batch loss=0.076600, epoch loss=0.076600 Batch=119, step=15720, lr=0.134750, batch loss=0.124539, epoch loss=0.201138 Batch=179, step=15780, lr=0.134500, batch loss=0.093462, epoch loss=0.294601 Batch=239, step=15840, lr=0.134000, batch loss=0.093290, epoch loss=0.387890 Batch=299, step=15900, lr=0.133750, batch loss=0.041201, epoch loss=0.429092 Batch=359, step=15960, lr=0.133750, batch loss=0.078326, epoch loss=0.507417 Batch=419, step=16020, lr=0.133500, batch loss=0.083506, epoch loss=0.590923 Batch=479, step=16080, lr=0.133000, batch loss=0.070391, epoch loss=0.661315 Batch=539, step=16140, lr=0.133000, batch loss=0.066759, epoch loss=0.728074 Batch=599, step=16200, lr=0.132500, batch loss=0.164771, epoch loss=0.892844 Batch=659, step=16260, lr=0.132250, batch loss=0.094543, epoch loss=0.987387 Batch=719, step=16320, lr=0.132000, batch loss=0.140228, epoch loss=1.127615 Batch=779, step=16380, lr=0.131750, batch loss=0.322515, epoch loss=1.450130 Batch=839, step=16440, lr=0.131750, batch loss=0.098408, epoch loss=1.548538 Batch=899, step=16500, lr=0.131250, batch loss=0.093139, epoch loss=1.641676 Batch=959, step=16560, lr=0.131000, batch loss=0.035421, epoch loss=1.677098 Batch=1019, step=16620, lr=0.131000, batch loss=0.058167, epoch loss=1.735265 Batch=1079, step=16680, lr=0.130750, batch loss=0.057558, epoch loss=1.792822 Batch=1139, step=16740, lr=0.130500, batch loss=0.104789, epoch loss=1.897611 Batch=1199, step=16800, lr=0.130000, batch loss=0.049823, epoch loss=1.947434 Epoch=13, step=16800, lr=0.130000, epoch loss=1.947434 Batch=59, step=16860, lr=0.129750, batch loss=0.036360, epoch loss=0.036360 Batch=119, step=16920, lr=0.129750, batch loss=0.034234, epoch loss=0.070594 Batch=179, step=16980, lr=0.129500, batch loss=0.044450, epoch loss=0.115044 Batch=239, step=17040, lr=0.129250, batch loss=0.062574, epoch loss=0.177618 Batch=299, step=17100, lr=0.128750, batch loss=0.020937, epoch loss=0.198555 Batch=359, step=17160, lr=0.128750, batch loss=0.044298, epoch loss=0.242853 Batch=419, step=17220, lr=0.128250, batch loss=0.071983, epoch loss=0.314836 Batch=479, step=17280, lr=0.128250, batch loss=0.023397, epoch loss=0.338233 Batch=539, step=17340, lr=0.128000, batch loss=0.027101, epoch loss=0.365334 Batch=599, step=17400, lr=0.127750, batch loss=0.037525, epoch loss=0.402859 Batch=659, step=17460, lr=0.127500, batch loss=0.050683, epoch loss=0.453542 Batch=719, step=17520, lr=0.127250, batch loss=0.057832, epoch loss=0.511374 Batch=779, step=17580, lr=0.127000, batch loss=0.068698, epoch loss=0.580073 Batch=839, step=17640, lr=0.126500, batch loss=0.099863, epoch loss=0.679936 Batch=899, step=17700, lr=0.126500, batch loss=0.048415, epoch loss=0.728350 Batch=959, step=17760, lr=0.126000, batch loss=0.019084, epoch loss=0.747434 Batch=1019, step=17820, lr=0.125750, batch loss=0.051935, epoch loss=0.799369 Batch=1079, step=17880, lr=0.125500, batch loss=0.049457, epoch loss=0.848826 Batch=1139, step=17940, lr=0.125250, batch loss=0.107623, epoch loss=0.956448 Batch=1199, step=18000, lr=0.125250, batch loss=0.026734, epoch loss=0.983182 Epoch=14, step=18000, lr=0.125250, epoch loss=0.983182 Batch=59, step=18060, lr=0.125000, batch loss=0.018819, epoch loss=0.018819 Batch=119, step=18120, lr=0.124750, batch loss=0.021091, epoch loss=0.039909 Batch=179, step=18180, lr=0.124250, batch loss=0.037423, epoch loss=0.077332 Batch=239, step=18240, lr=0.124250, batch loss=0.039977, epoch loss=0.117310 Batch=299, step=18300, lr=0.124000, batch loss=0.008824, epoch loss=0.126133 Batch=359, step=18360, lr=0.123750, batch loss=0.025029, epoch loss=0.151162 Batch=419, step=18420, lr=0.123250, batch loss=0.028367, epoch loss=0.179529 Batch=479, step=18480, lr=0.123250, batch loss=0.021698, epoch loss=0.201226 Batch=539, step=18540, lr=0.122750, batch loss=0.045624, epoch loss=0.246850 Batch=599, step=18600, lr=0.122750, batch loss=0.027003, epoch loss=0.273854 Batch=659, step=18660, lr=0.122500, batch loss=0.030894, epoch loss=0.304748 Batch=719, step=18720, lr=0.122000, batch loss=0.050660, epoch loss=0.355408 Batch=779, step=18780, lr=0.121750, batch loss=0.108805, epoch loss=0.464213 Batch=839, step=18840, lr=0.121500, batch loss=0.050045, epoch loss=0.514258 Batch=899, step=18900, lr=0.121500, batch loss=0.050197, epoch loss=0.564455 Batch=959, step=18960, lr=0.121250, batch loss=0.013801, epoch loss=0.578256 Batch=1019, step=19020, lr=0.121000, batch loss=0.021583, epoch loss=0.599839 Batch=1079, step=19080, lr=0.120500, batch loss=0.010559, epoch loss=0.610398 Batch=1139, step=19140, lr=0.120250, batch loss=0.022799, epoch loss=0.633197 Batch=1199, step=19200, lr=0.120250, batch loss=0.008581, epoch loss=0.641778 Epoch=15, step=19200, lr=0.120250, epoch loss=0.641778 Batch=59, step=19260, lr=0.120000, batch loss=0.004541, epoch loss=0.004541 Batch=119, step=19320, lr=0.119500, batch loss=0.020682, epoch loss=0.025223 Batch=179, step=19380, lr=0.119250, batch loss=0.062649, epoch loss=0.087873 Batch=239, step=19440, lr=0.119000, batch loss=0.024273, epoch loss=0.112146 Batch=299, step=19500, lr=0.119000, batch loss=0.015609, epoch loss=0.127755 Batch=359, step=19560, lr=0.118750, batch loss=0.034647, epoch loss=0.162402 Batch=419, step=19620, lr=0.118500, batch loss=0.021483, epoch loss=0.183885 Batch=479, step=19680, lr=0.118250, batch loss=0.006952, epoch loss=0.190837 Batch=539, step=19740, lr=0.117750, batch loss=0.018430, epoch loss=0.209267 Batch=599, step=19800, lr=0.117750, batch loss=0.021425, epoch loss=0.230692 Batch=659, step=19860, lr=0.117250, batch loss=0.018855, epoch loss=0.249546 Batch=719, step=19920, lr=0.117250, batch loss=0.030714, epoch loss=0.280260 Batch=779, step=19980, lr=0.117000, batch loss=0.066933, epoch loss=0.347193 Batch=839, step=20040, lr=0.116500, batch loss=0.030652, epoch loss=0.377846 Batch=899, step=20100, lr=0.116500, batch loss=0.028139, epoch loss=0.405985 Batch=959, step=20160, lr=0.116250, batch loss=0.019450, epoch loss=0.425435 Batch=1019, step=20220, lr=0.115750, batch loss=0.021647, epoch loss=0.447082 Batch=1079, step=20280, lr=0.115500, batch loss=0.003465, epoch loss=0.450547 Batch=1139, step=20340, lr=0.115500, batch loss=0.014457, epoch loss=0.465004 Batch=1199, step=20400, lr=0.115250, batch loss=0.005905, epoch loss=0.470909 Epoch=16, step=20400, lr=0.115250, epoch loss=0.470909 Batch=59, step=20460, lr=0.115000, batch loss=0.002794, epoch loss=0.002794 Batch=119, step=20520, lr=0.114500, batch loss=0.009410, epoch loss=0.012203 Batch=179, step=20580, lr=0.114250, batch loss=0.025631, epoch loss=0.037834 Batch=239, step=20640, lr=0.114250, batch loss=0.014451, epoch loss=0.052284 Batch=299, step=20700, lr=0.114000, batch loss=0.003811, epoch loss=0.056096 Batch=359, step=20760, lr=0.113750, batch loss=0.013266, epoch loss=0.069362 Batch=419, step=20820, lr=0.113500, batch loss=0.014151, epoch loss=0.083513 Batch=479, step=20880, lr=0.113250, batch loss=0.004243, epoch loss=0.087756 Batch=539, step=20940, lr=0.112750, batch loss=0.015596, epoch loss=0.103353 Batch=599, step=21000, lr=0.112750, batch loss=0.018327, epoch loss=0.121679 Batch=659, step=21060, lr=0.112500, batch loss=0.013558, epoch loss=0.135237 Batch=719, step=21120, lr=0.112250, batch loss=0.028706, epoch loss=0.163943 Batch=779, step=21180, lr=0.111750, batch loss=0.041395, epoch loss=0.205338 Batch=839, step=21240, lr=0.111750, batch loss=0.026557, epoch loss=0.231895 Batch=899, step=21300, lr=0.111250, batch loss=0.025975, epoch loss=0.257870 Batch=959, step=21360, lr=0.111000, batch loss=0.012916, epoch loss=0.270786 Batch=1019, step=21420, lr=0.110750, batch loss=0.011427, epoch loss=0.282213 Batch=1079, step=21480, lr=0.110500, batch loss=0.001902, epoch loss=0.284115 Batch=1139, step=21540, lr=0.110250, batch loss=0.012366, epoch loss=0.296480 Batch=1199, step=21600, lr=0.110250, batch loss=0.005547, epoch loss=0.302027 Epoch=17, step=21600, lr=0.110250, epoch loss=0.302027 Batch=59, step=21660, lr=0.110000, batch loss=0.002955, epoch loss=0.002955 Batch=119, step=21720, lr=0.109500, batch loss=0.006560, epoch loss=0.009515 Batch=179, step=21780, lr=0.109500, batch loss=0.012220, epoch loss=0.021735 Batch=239, step=21840, lr=0.109250, batch loss=0.009775, epoch loss=0.031509 Batch=299, step=21900, lr=0.108750, batch loss=0.012650, epoch loss=0.044159 Batch=359, step=21960, lr=0.108750, batch loss=0.012586, epoch loss=0.056745 Batch=419, step=22020, lr=0.108500, batch loss=0.012161, epoch loss=0.068906 Batch=479, step=22080, lr=0.108000, batch loss=0.002796, epoch loss=0.071702 Batch=539, step=22140, lr=0.108000, batch loss=0.018068, epoch loss=0.089770 Batch=599, step=22200, lr=0.107750, batch loss=0.015281, epoch loss=0.105051 Batch=659, step=22260, lr=0.107250, batch loss=0.011017, epoch loss=0.116068 Batch=719, step=22320, lr=0.107000, batch loss=0.018651, epoch loss=0.134719 Batch=779, step=22380, lr=0.106750, batch loss=0.024681, epoch loss=0.159400 Batch=839, step=22440, lr=0.106750, batch loss=0.026107, epoch loss=0.185507 Batch=899, step=22500, lr=0.106500, batch loss=0.026663, epoch loss=0.212170 Batch=959, step=22560, lr=0.106250, batch loss=0.008918, epoch loss=0.221088 Batch=1019, step=22620, lr=0.105750, batch loss=0.008892, epoch loss=0.229980 Batch=1079, step=22680, lr=0.105750, batch loss=0.000557, epoch loss=0.230537 Batch=1139, step=22740, lr=0.105500, batch loss=0.010544, epoch loss=0.241082 Batch=1199, step=22800, lr=0.105250, batch loss=0.004759, epoch loss=0.245840 Epoch=18, step=22800, lr=0.105250, epoch loss=0.245840 Batch=59, step=22860, lr=0.104750, batch loss=0.001613, epoch loss=0.001613 Batch=119, step=22920, lr=0.104750, batch loss=0.005519, epoch loss=0.007132 Batch=179, step=22980, lr=0.104500, batch loss=0.010226, epoch loss=0.017358 Batch=239, step=23040, lr=0.104250, batch loss=0.008680, epoch loss=0.026037 Batch=299, step=23100, lr=0.104000, batch loss=0.006564, epoch loss=0.032601 Batch=359, step=23160, lr=0.103500, batch loss=0.012205, epoch loss=0.044806 Batch=419, step=23220, lr=0.103250, batch loss=0.010912, epoch loss=0.055719 Batch=479, step=23280, lr=0.103000, batch loss=0.002522, epoch loss=0.058241 Batch=539, step=23340, lr=0.102750, batch loss=0.017153, epoch loss=0.075394 Batch=599, step=23400, lr=0.102750, batch loss=0.014008, epoch loss=0.089401 Batch=659, step=23460, lr=0.102500, batch loss=0.010544, epoch loss=0.099945 Batch=719, step=23520, lr=0.102000, batch loss=0.013463, epoch loss=0.113408 Batch=779, step=23580, lr=0.101750, batch loss=0.023081, epoch loss=0.136489 Batch=839, step=23640, lr=0.101500, batch loss=0.024956, epoch loss=0.161445 Batch=899, step=23700, lr=0.101250, batch loss=0.023314, epoch loss=0.184759 Batch=959, step=23760, lr=0.101250, batch loss=0.008723, epoch loss=0.193482 Batch=1019, step=23820, lr=0.101000, batch loss=0.008145, epoch loss=0.201627 Batch=1079, step=23880, lr=0.100750, batch loss=0.000826, epoch loss=0.202454 Batch=1139, step=23940, lr=0.100500, batch loss=0.009436, epoch loss=0.211890 Batch=1199, step=24000, lr=0.100000, batch loss=0.004948, epoch loss=0.216838 Epoch=19, step=24000, lr=0.100000, epoch loss=0.216838 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%.................****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-06-05 13:32.44: Job failed: Failed: Build failed