2025-05-30 15:52.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (97f756c4f7ee7f008cee0296c186c69b6aed5972) (linux-x86_64:fedora-42-5.3_opam-2.3) Base: ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 97f756c4 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 # fedora-42-5.3_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 2025-05-30 15:52.24: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-05-30 15:52.24: Using OBuilder spec: ((from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) (comment fedora-42-5.3_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")) ) 2025-05-30 15:52.24: Waiting for resource in pool OCluster 2025-05-30 15:52.24: Waiting for worker… 2025-05-30 15:57.45: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 97f756c4 Claude's second pass at adding BF16, FP8: conversion functions (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-30 15:58.29 ---> saved as "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" /: (comment fedora-42-5.3_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 42 openh264 (From Cisco) - x86_ 100% | 3.6 KiB/s | 989.0 B | 00m00s Fedora 42 - x86_64 - Updates 100% | 177.6 KiB/s | 23.4 KiB | 00m00s Fedora 42 - x86_64 100% | 185.4 KiB/s | 25.0 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 5.9 MiB/s | 5.8 MiB | 00m01s Fedora 42 - x86_64 100% | 255.6 KiB/s | 310.6 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-30 15:58.50 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-30 15:58.51 ---> saved as "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-30 15:59.50 ---> saved as "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-30 15:59.55 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-30 15:59.56 ---> saved as "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" /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 0d013e603b..5d2fb3923b 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) 2025-05-30 16:00.47 ---> saved as "ee8af8211e5c5ecf302e823548c3b2f87c2bde8334f39830aad7be5e3a2c6908" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-30 16:00.48 ---> saved as "2f756eb664554852ce2b3c34fa40c2ead32b4d7864e3b3cee09592b47954d48f" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-30 16:00.55 ---> saved as "b76885011f6d67da529bd986e246b989de876784904e5bf71b5b0af1493b6ae5" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-30 16:00.55 ---> saved as "e72d5ca3d83c85e68539d347e412899a5ff41cfaefed3d66e8fc5d941bbf2c67" /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/sbin/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/sbin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-5.fc42 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-0:3.4.6-5.fc42.x86_6 100% | 312.8 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 103.9 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% | 19.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 285.2 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-30 16:01.28 ---> saved as "e482a3250adb5bc1b328bcabca67bd2a4cd7c378573b254171d32c9a591cefaa" /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 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 mdx.2.5.0 (cached) -> retrieved ocaml-version.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> installed num.1.5-1 -> 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 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 re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed seq.base -> 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 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 printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed integers.0.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.19.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ctypes.0.23.0 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-30 16:05.04 ---> saved as "c000179a9f9049e8e799dce33f873fd52ce1d45f1cbe5a8593c19cb58474eecf" /src: (copy (src .) (dst /src)) 2025-05-30 16:05.04 ---> saved as "2524a90d3c03af484eef1926d43aca22dd2cb50d00e539c3072d7a246b44b938" /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/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/07ee38a28fceaab61a7cc4f03cc77a03/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bbfe9609563555f1d84412eb995df32d/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/bbfe9609563555f1d84412eb995df32d/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=0.193250, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276246, epoch loss=2.211809 Batch=539, step=1740, lr=0.192750, batch loss=0.209856, epoch loss=2.421665 Batch=599, step=1800, lr=0.192750, batch loss=0.250297, epoch loss=2.671961 Batch=659, step=1860, lr=0.192500, batch loss=0.367287, epoch loss=3.039248 Batch=719, step=1920, lr=0.192250, batch loss=0.354836, epoch loss=3.394084 Batch=779, step=1980, lr=0.192000, batch loss=0.381453, epoch loss=3.775537 Batch=839, step=2040, lr=0.191500, batch loss=0.339630, epoch loss=4.115167 Batch=899, step=2100, lr=0.191500, batch loss=0.295245, epoch loss=4.410412 Batch=959, step=2160, lr=0.191000, batch loss=0.213963, epoch loss=4.624375 Batch=1019, step=2220, lr=0.191000, batch loss=0.331027, epoch loss=4.955402 Batch=1079, step=2280, lr=0.190750, batch loss=0.208169, epoch loss=5.163571 Batch=1139, step=2340, lr=0.190500, batch loss=0.278431, epoch loss=5.442002 Batch=1199, step=2400, lr=0.190000, batch loss=0.220778, epoch loss=5.662780 Epoch=1, step=2400, lr=0.190000, epoch loss=5.662780 Batch=59, step=2460, lr=0.190000, batch loss=0.230377, epoch loss=0.230377 Batch=119, step=2520, lr=0.189750, batch loss=0.195957, epoch loss=0.426333 Batch=179, step=2580, lr=0.189500, batch loss=0.221167, epoch loss=0.647501 Batch=239, step=2640, lr=0.189250, batch loss=0.328110, epoch loss=0.975611 Batch=299, step=2700, lr=0.189000, batch loss=0.202951, epoch loss=1.178562 Batch=359, step=2760, lr=0.188750, batch loss=0.288271, epoch loss=1.466833 Batch=419, step=2820, lr=0.188500, batch loss=0.280172, epoch loss=1.747005 Batch=479, step=2880, lr=0.188250, batch loss=0.251475, epoch loss=1.998480 Batch=539, step=2940, lr=0.188000, batch loss=0.191281, epoch loss=2.189761 Batch=599, step=3000, lr=0.187750, batch loss=0.224947, epoch loss=2.414708 Batch=659, step=3060, lr=0.187500, batch loss=0.335796, epoch loss=2.750504 Batch=719, step=3120, lr=0.187250, batch loss=0.331399, epoch loss=3.081903 Batch=779, step=3180, lr=0.187000, batch loss=0.357970, epoch loss=3.439873 Batch=839, step=3240, lr=0.186750, batch loss=0.325584, epoch loss=3.765457 Batch=899, step=3300, lr=0.186500, batch loss=0.292439, epoch loss=4.057896 Batch=959, step=3360, lr=0.186250, batch loss=0.244858, epoch loss=4.302754 Batch=1019, step=3420, lr=0.186000, batch loss=0.362041, epoch loss=4.664795 Batch=1079, step=3480, lr=0.185750, batch loss=0.221907, epoch loss=4.886702 Batch=1139, step=3540, lr=0.185500, batch loss=0.264141, epoch loss=5.150842 Batch=1199, step=3600, lr=0.185250, batch loss=0.199925, epoch loss=5.350767 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350767 Batch=59, step=3660, lr=0.185000, batch loss=0.221183, epoch loss=0.221183 Batch=119, step=3720, lr=0.184750, batch loss=0.184996, epoch loss=0.406179 Batch=179, step=3780, lr=0.184500, batch loss=0.211409, epoch loss=0.617588 Batch=239, step=3840, lr=0.184250, batch loss=0.316939, epoch loss=0.934527 Batch=299, step=3900, lr=0.184000, batch loss=0.209286, epoch loss=1.143814 Batch=359, step=3960, lr=0.183750, batch loss=0.285579, epoch loss=1.429392 Batch=419, step=4020, lr=0.183500, batch loss=0.278298, epoch loss=1.707690 Batch=479, step=4080, lr=0.183250, batch loss=0.254912, epoch loss=1.962603 Batch=539, step=4140, lr=0.183000, batch loss=0.200021, epoch loss=2.162624 Batch=599, step=4200, lr=0.182750, batch loss=0.242579, epoch loss=2.405203 Batch=659, step=4260, lr=0.182500, batch loss=0.327791, epoch loss=2.732994 Batch=719, step=4320, lr=0.182250, batch loss=0.330832, epoch loss=3.063826 Batch=779, step=4380, lr=0.182000, batch loss=0.349798, epoch loss=3.413624 Batch=839, step=4440, lr=0.181750, batch loss=0.317795, epoch loss=3.731419 Batch=899, step=4500, lr=0.181500, batch loss=0.285857, epoch loss=4.017275 Batch=959, step=4560, lr=0.181250, batch loss=0.239571, epoch loss=4.256846 Batch=1019, step=4620, lr=0.181000, batch loss=0.333097, epoch loss=4.589943 Batch=1079, step=4680, lr=0.180750, batch loss=0.195647, epoch loss=4.785591 Batch=1139, step=4740, lr=0.180500, batch loss=0.229100, epoch loss=5.014690 Batch=1199, step=4800, lr=0.180250, batch loss=0.193345, epoch loss=5.208035 Epoch=3, step=4800, lr=0.180250, epoch loss=5.208035 Batch=59, step=4860, lr=0.180000, batch loss=0.242849, epoch loss=0.242849 Batch=119, step=4920, lr=0.179750, batch loss=0.198261, epoch loss=0.441111 Batch=179, step=4980, lr=0.179500, batch loss=0.206260, epoch loss=0.647370 Batch=239, step=5040, lr=0.179250, batch loss=0.306192, epoch loss=0.953562 Batch=299, step=5100, lr=0.179000, batch loss=0.203080, epoch loss=1.156642 Batch=359, step=5160, lr=0.178750, batch loss=0.272564, epoch loss=1.429205 Batch=419, step=5220, lr=0.178500, batch loss=0.264313, epoch loss=1.693518 Batch=479, step=5280, lr=0.178250, batch loss=0.240409, epoch loss=1.933927 Batch=539, step=5340, lr=0.178000, batch loss=0.189589, epoch loss=2.123516 Batch=599, step=5400, lr=0.177750, batch loss=0.232004, epoch loss=2.355521 Batch=659, step=5460, lr=0.177500, batch loss=0.323648, epoch loss=2.679169 Batch=719, step=5520, lr=0.177250, batch loss=0.325223, epoch loss=3.004392 Batch=779, step=5580, lr=0.177000, batch loss=0.337309, epoch loss=3.341701 Batch=839, step=5640, lr=0.176750, batch loss=0.314604, epoch loss=3.656306 Batch=899, step=5700, lr=0.176500, batch loss=0.277112, epoch loss=3.933417 Batch=959, step=5760, lr=0.176250, batch loss=0.207061, epoch loss=4.140478 Batch=1019, step=5820, lr=0.176000, batch loss=0.342665, epoch loss=4.483143 Batch=1079, step=5880, lr=0.175750, batch loss=0.202974, epoch loss=4.686117 Batch=1139, step=5940, lr=0.175500, batch loss=0.241821, epoch loss=4.927938 Batch=1199, step=6000, lr=0.175250, batch loss=0.185341, epoch loss=5.113280 Epoch=4, step=6000, lr=0.175250, epoch loss=5.113280 Batch=59, step=6060, lr=0.175000, batch loss=0.224523, epoch loss=0.224523 Batch=119, step=6120, lr=0.174750, batch loss=0.185446, epoch loss=0.409969 Batch=179, step=6180, lr=0.174500, batch loss=0.201658, epoch loss=0.611627 Batch=239, step=6240, lr=0.174250, batch loss=0.300275, epoch loss=0.911902 Batch=299, step=6300, lr=0.174000, batch loss=0.207742, epoch loss=1.119644 Batch=359, step=6360, lr=0.173750, batch loss=0.265280, epoch loss=1.384924 Batch=419, step=6420, lr=0.173500, batch loss=0.260968, epoch loss=1.645892 Batch=479, step=6480, lr=0.173250, batch loss=0.236866, epoch loss=1.882759 Batch=539, step=6540, lr=0.173000, batch loss=0.186837, epoch loss=2.069595 Batch=599, step=6600, lr=0.172750, batch loss=0.226840, epoch loss=2.296435 Batch=659, step=6660, lr=0.172500, batch loss=0.316479, epoch loss=2.612915 Batch=719, step=6720, lr=0.172250, batch loss=0.314592, epoch loss=2.927506 Batch=779, step=6780, lr=0.172000, batch loss=0.334199, epoch loss=3.261705 Batch=839, step=6840, lr=0.171750, batch loss=0.304300, epoch loss=3.566005 Batch=899, step=6900, lr=0.171500, batch loss=0.266087, epoch loss=3.832093 Batch=959, step=6960, lr=0.171250, batch loss=0.210555, epoch loss=4.042647 Batch=1019, step=7020, lr=0.171000, batch loss=0.328876, epoch loss=4.371524 Batch=1079, step=7080, lr=0.170750, batch loss=0.182095, epoch loss=4.553619 Batch=1139, step=7140, lr=0.170500, batch loss=0.216047, epoch loss=4.769666 Batch=1199, step=7200, lr=0.170250, batch loss=0.181621, epoch loss=4.951287 Epoch=5, step=7200, lr=0.170250, epoch loss=4.951287 Batch=59, step=7260, lr=0.170000, batch loss=0.230481, epoch loss=0.230481 Batch=119, step=7320, lr=0.169750, batch loss=0.185792, epoch loss=0.416274 Batch=179, step=7380, lr=0.169500, batch loss=0.195192, epoch loss=0.611466 Batch=239, step=7440, lr=0.169250, batch loss=0.289942, epoch loss=0.901408 Batch=299, step=7500, lr=0.169000, batch loss=0.203044, epoch loss=1.104452 Batch=359, step=7560, lr=0.168750, batch loss=0.257527, epoch loss=1.361978 Batch=419, step=7620, lr=0.168500, batch loss=0.257221, epoch loss=1.619200 Batch=479, step=7680, lr=0.168250, batch loss=0.235624, epoch loss=1.854824 Batch=539, step=7740, lr=0.168000, batch loss=0.188834, epoch loss=2.043657 Batch=599, step=7800, lr=0.167750, batch loss=0.223589, epoch loss=2.267246 Batch=659, step=7860, lr=0.167500, batch loss=0.304715, epoch loss=2.571961 Batch=719, step=7920, lr=0.167250, batch loss=0.308715, epoch loss=2.880676 Batch=779, step=7980, lr=0.167000, batch loss=0.320853, epoch loss=3.201529 Batch=839, step=8040, lr=0.166750, batch loss=0.296895, epoch loss=3.498425 Batch=899, step=8100, lr=0.166500, batch loss=0.258162, epoch loss=3.756587 Batch=959, step=8160, lr=0.166250, batch loss=0.209851, epoch loss=3.966438 Batch=1019, step=8220, lr=0.166000, batch loss=0.320246, epoch loss=4.286683 Batch=1079, step=8280, lr=0.165750, batch loss=0.174831, epoch loss=4.461514 Batch=1139, step=8340, lr=0.165500, batch loss=0.208638, epoch loss=4.670152 Batch=1199, step=8400, lr=0.165250, batch loss=0.176799, epoch loss=4.846952 Epoch=6, step=8400, lr=0.165250, epoch loss=4.846952 Batch=59, step=8460, lr=0.165000, batch loss=0.232429, epoch loss=0.232429 Batch=119, step=8520, lr=0.164750, batch loss=0.173412, epoch loss=0.405841 Batch=179, step=8580, lr=0.164500, batch loss=0.187569, epoch loss=0.593410 Batch=239, step=8640, lr=0.164250, batch loss=0.278089, epoch loss=0.871499 Batch=299, step=8700, lr=0.164000, batch loss=0.189401, epoch loss=1.060901 Batch=359, step=8760, lr=0.163750, batch loss=0.250556, epoch loss=1.311457 Batch=419, step=8820, lr=0.163500, batch loss=0.243712, epoch loss=1.555169 Batch=479, step=8880, lr=0.163250, batch loss=0.227822, epoch loss=1.782991 Batch=539, step=8940, lr=0.163000, batch loss=0.178628, epoch loss=1.961619 Batch=599, step=9000, lr=0.162750, batch loss=0.216897, epoch loss=2.178516 Batch=659, step=9060, lr=0.162500, batch loss=0.293445, epoch loss=2.471961 Batch=719, step=9120, lr=0.162250, batch loss=0.297397, epoch loss=2.769358 Batch=779, step=9180, lr=0.162000, batch loss=0.314497, epoch loss=3.083854 Batch=839, step=9240, lr=0.161750, batch loss=0.281576, epoch loss=3.365430 Batch=899, step=9300, lr=0.161500, batch loss=0.252105, epoch loss=3.617535 Batch=959, step=9360, lr=0.161250, batch loss=0.198706, epoch loss=3.816241 Batch=1019, step=9420, lr=0.161000, batch loss=0.308018, epoch loss=4.124259 Batch=1079, step=9480, lr=0.160750, batch loss=0.195956, epoch loss=4.320215 Batch=1139, step=9540, lr=0.160500, batch loss=0.213481, epoch loss=4.533696 Batch=1199, step=9600, lr=0.160250, batch loss=0.167349, epoch loss=4.701046 Epoch=7, step=9600, lr=0.160250, epoch loss=4.701046 Batch=59, step=9660, lr=0.160000, batch loss=0.200472, epoch loss=0.200472 Batch=119, step=9720, lr=0.159750, batch loss=0.163327, epoch loss=0.363799 Batch=179, step=9780, lr=0.159500, batch loss=0.178062, epoch loss=0.541861 Batch=239, step=9840, lr=0.159250, batch loss=0.262121, epoch loss=0.803983 Batch=299, step=9900, lr=0.159000, batch loss=0.182029, epoch loss=0.986011 Batch=359, step=9960, lr=0.158750, batch loss=0.240084, epoch loss=1.226096 Batch=419, step=10020, lr=0.158500, batch loss=0.231686, epoch loss=1.457782 Batch=479, step=10080, lr=0.158250, batch loss=0.214930, epoch loss=1.672712 Batch=539, step=10140, lr=0.158000, batch loss=0.170844, epoch loss=1.843556 Batch=599, step=10200, lr=0.157750, batch loss=0.203581, epoch loss=2.047138 Batch=659, step=10260, lr=0.157500, batch loss=0.280705, epoch loss=2.327843 Batch=719, step=10320, lr=0.157250, batch loss=0.281646, epoch loss=2.609489 Batch=779, step=10380, lr=0.157000, batch loss=0.293866, epoch loss=2.903354 Batch=839, step=10440, lr=0.156750, batch loss=0.272147, epoch loss=3.175501 Batch=899, step=10500, lr=0.156500, batch loss=0.235568, epoch loss=3.411069 Batch=959, step=10560, lr=0.156250, batch loss=0.181018, epoch loss=3.592087 Batch=1019, step=10620, lr=0.156000, batch loss=0.294657, epoch loss=3.886743 Batch=1079, step=10680, lr=0.155750, batch loss=0.181755, epoch loss=4.068498 Batch=1139, step=10740, lr=0.155500, batch loss=0.204314, epoch loss=4.272812 Batch=1199, step=10800, lr=0.155250, batch loss=0.155856, epoch loss=4.428667 Epoch=8, step=10800, lr=0.155250, epoch loss=4.428667 Batch=59, step=10860, lr=0.155000, batch loss=0.178470, epoch loss=0.178470 Batch=119, step=10920, lr=0.154750, batch loss=0.151551, epoch loss=0.330021 Batch=179, step=10980, lr=0.154500, batch loss=0.166250, epoch loss=0.496271 Batch=239, step=11040, lr=0.154250, batch loss=0.246829, epoch loss=0.743099 Batch=299, step=11100, lr=0.154000, batch loss=0.162215, epoch loss=0.905314 Batch=359, step=11160, lr=0.153750, batch loss=0.226612, epoch loss=1.131926 Batch=419, step=11220, lr=0.153250, batch loss=0.232361, epoch loss=1.364287 Batch=479, step=11280, lr=0.153000, batch loss=0.199497, epoch loss=1.563783 Batch=539, step=11340, lr=0.153000, batch loss=0.162047, epoch loss=1.725830 Batch=599, step=11400, lr=0.152750, batch loss=0.181492, epoch loss=1.907322 Batch=659, step=11460, lr=0.152500, batch loss=0.261963, epoch loss=2.169285 Batch=719, step=11520, lr=0.152000, batch loss=0.257342, epoch loss=2.426627 Batch=779, step=11580, lr=0.152000, batch loss=0.270172, epoch loss=2.696799 Batch=839, step=11640, lr=0.151750, batch loss=0.249833, epoch loss=2.946632 Batch=899, step=11700, lr=0.151500, batch loss=0.216782, epoch loss=3.163414 Batch=959, step=11760, lr=0.151250, batch loss=0.173204, epoch loss=3.336617 Batch=1019, step=11820, lr=0.151000, batch loss=0.259914, epoch loss=3.596531 Batch=1079, step=11880, lr=0.150750, batch loss=0.142352, epoch loss=3.738884 Batch=1139, step=11940, lr=0.150500, batch loss=0.180364, epoch loss=3.919247 Batch=1199, step=12000, lr=0.150000, batch loss=0.139224, epoch loss=4.058472 Epoch=9, step=12000, lr=0.150000, epoch loss=4.058472 Batch=59, step=12060, lr=0.149750, batch loss=0.160384, epoch loss=0.160384 Batch=119, step=12120, lr=0.149500, batch loss=0.137053, epoch loss=0.297437 Batch=179, step=12180, lr=0.149250, batch loss=0.150987, epoch loss=0.448424 Batch=239, step=12240, lr=0.149250, batch loss=0.218594, epoch loss=0.667018 Batch=299, step=12300, lr=0.149000, batch loss=0.142234, epoch loss=0.809252 Batch=359, step=12360, lr=0.148750, batch loss=0.196220, epoch loss=1.005472 Batch=419, step=12420, lr=0.148250, batch loss=0.198890, epoch loss=1.204362 Batch=479, step=12480, lr=0.148000, batch loss=0.178416, epoch loss=1.382777 Batch=539, step=12540, lr=0.147750, batch loss=0.141945, epoch loss=1.524723 Batch=599, step=12600, lr=0.147750, batch loss=0.148494, epoch loss=1.673216 Batch=659, step=12660, lr=0.147250, batch loss=0.227134, epoch loss=1.900350 Batch=719, step=12720, lr=0.147250, batch loss=0.238695, epoch loss=2.139046 Batch=779, step=12780, lr=0.147000, batch loss=0.264355, epoch loss=2.403401 Batch=839, step=12840, lr=0.146750, batch loss=0.234013, epoch loss=2.637414 Batch=899, step=12900, lr=0.146500, batch loss=0.203759, epoch loss=2.841172 Batch=959, step=12960, lr=0.146250, batch loss=0.147157, epoch loss=2.988329 Batch=1019, step=13020, lr=0.146000, batch loss=0.270114, epoch loss=3.258443 Batch=1079, step=13080, lr=0.145750, batch loss=0.109316, epoch loss=3.367759 Batch=1139, step=13140, lr=0.145250, batch loss=0.152176, epoch loss=3.519935 Batch=1199, step=13200, lr=0.145250, batch loss=0.117116, epoch loss=3.637051 Epoch=10, step=13200, lr=0.145250, epoch loss=3.637051 Batch=59, step=13260, lr=0.145000, batch loss=0.144346, epoch loss=0.144346 Batch=119, step=13320, lr=0.144500, batch loss=0.125652, epoch loss=0.269998 Batch=179, step=13380, lr=0.144250, batch loss=0.129587, epoch loss=0.399585 Batch=239, step=13440, lr=0.144000, batch loss=0.189172, epoch loss=0.588757 Batch=299, step=13500, lr=0.143750, batch loss=0.121799, epoch loss=0.710556 Batch=359, step=13560, lr=0.143750, batch loss=0.160282, epoch loss=0.870837 Batch=419, step=13620, lr=0.143500, batch loss=0.161835, epoch loss=1.032672 Batch=479, step=13680, lr=0.143250, batch loss=0.144153, epoch loss=1.176825 Batch=539, step=13740, lr=0.143000, batch loss=0.118964, epoch loss=1.295789 Batch=599, step=13800, lr=0.142750, batch loss=0.119838, epoch loss=1.415628 Batch=659, step=13860, lr=0.142500, batch loss=0.174929, epoch loss=1.590557 Batch=719, step=13920, lr=0.142250, batch loss=0.176079, epoch loss=1.766635 Batch=779, step=13980, lr=0.142000, batch loss=0.196868, epoch loss=1.963503 Batch=839, step=14040, lr=0.141500, batch loss=0.185885, epoch loss=2.149388 Batch=899, step=14100, lr=0.141250, batch loss=0.157213, epoch loss=2.306601 Batch=959, step=14160, lr=0.141250, batch loss=0.131905, epoch loss=2.438506 Batch=1019, step=14220, lr=0.141000, batch loss=0.265481, epoch loss=2.703987 Batch=1079, step=14280, lr=0.140750, batch loss=0.083640, epoch loss=2.787628 Batch=1139, step=14340, lr=0.140250, batch loss=0.131569, epoch loss=2.919197 Batch=1199, step=14400, lr=0.140250, batch loss=0.089982, epoch loss=3.009178 Epoch=11, step=14400, lr=0.140250, epoch loss=3.009178 Batch=59, step=14460, lr=0.139750, batch loss=0.108541, epoch loss=0.108541 Batch=119, step=14520, lr=0.139500, batch loss=0.102823, epoch loss=0.211364 Batch=179, step=14580, lr=0.139250, batch loss=0.102440, epoch loss=0.313804 Batch=239, step=14640, lr=0.139000, batch loss=0.138790, epoch loss=0.452594 Batch=299, step=14700, lr=0.138750, batch loss=0.078485, epoch loss=0.531078 Batch=359, step=14760, lr=0.138750, batch loss=0.116787, epoch loss=0.647865 Batch=419, step=14820, lr=0.138500, batch loss=0.126848, epoch loss=0.774713 Batch=479, step=14880, lr=0.138250, batch loss=0.102858, epoch loss=0.877572 Batch=539, step=14940, lr=0.138000, batch loss=0.106865, epoch loss=0.984436 Batch=599, step=15000, lr=0.137500, batch loss=0.083999, epoch loss=1.068435 Batch=659, step=15060, lr=0.137500, batch loss=0.128921, epoch loss=1.197356 Batch=719, step=15120, lr=0.137000, batch loss=0.121140, epoch loss=1.318496 Batch=779, step=15180, lr=0.137000, batch loss=0.119908, epoch loss=1.438404 Batch=839, step=15240, lr=0.136750, batch loss=0.126707, epoch loss=1.565111 Batch=899, step=15300, lr=0.136500, batch loss=0.131769, epoch loss=1.696880 Batch=959, step=15360, lr=0.136000, batch loss=0.143818, epoch loss=1.840697 Batch=1019, step=15420, lr=0.135750, batch loss=0.126757, epoch loss=1.967455 Batch=1079, step=15480, lr=0.135750, batch loss=0.065898, epoch loss=2.033353 Batch=1139, step=15540, lr=0.135250, batch loss=0.116878, epoch loss=2.150231 Batch=1199, step=15600, lr=0.135000, batch loss=0.066290, epoch loss=2.216521 Epoch=12, step=15600, lr=0.135000, epoch loss=2.216521 Batch=59, step=15660, lr=0.135000, batch loss=0.086741, epoch loss=0.086741 Batch=119, step=15720, lr=0.134750, batch loss=0.108130, epoch loss=0.194871 Batch=179, step=15780, lr=0.134500, batch loss=0.091816, epoch loss=0.286687 Batch=239, step=15840, lr=0.134000, batch loss=0.096445, epoch loss=0.383132 Batch=299, step=15900, lr=0.134000, batch loss=0.042171, epoch loss=0.425304 Batch=359, step=15960, lr=0.133750, batch loss=0.077368, epoch loss=0.502671 Batch=419, step=16020, lr=0.133250, batch loss=0.075204, epoch loss=0.577875 Batch=479, step=16080, lr=0.133250, batch loss=0.044879, epoch loss=0.622755 Batch=539, step=16140, lr=0.133000, batch loss=0.042883, epoch loss=0.665638 Batch=599, step=16200, lr=0.132750, batch loss=0.057227, epoch loss=0.722865 Batch=659, step=16260, lr=0.132500, batch loss=0.102326, epoch loss=0.825191 Batch=719, step=16320, lr=0.132000, batch loss=0.107986, epoch loss=0.933177 Batch=779, step=16380, lr=0.132000, batch loss=0.243690, epoch loss=1.176867 Batch=839, step=16440, lr=0.131750, batch loss=0.097488, epoch loss=1.274354 Batch=899, step=16500, lr=0.131500, batch loss=0.097724, epoch loss=1.372078 Batch=959, step=16560, lr=0.131250, batch loss=0.052264, epoch loss=1.424342 Batch=1019, step=16620, lr=0.131000, batch loss=0.134688, epoch loss=1.559030 Batch=1079, step=16680, lr=0.130750, batch loss=0.020717, epoch loss=1.579746 Batch=1139, step=16740, lr=0.130500, batch loss=0.046904, epoch loss=1.626650 Batch=1199, step=16800, lr=0.130250, batch loss=0.026500, epoch loss=1.653150 Epoch=13, step=16800, lr=0.130250, epoch loss=1.653150 Batch=59, step=16860, lr=0.129750, batch loss=0.036470, epoch loss=0.036470 Batch=119, step=16920, lr=0.129500, batch loss=0.054195, epoch loss=0.090666 Batch=179, step=16980, lr=0.129500, batch loss=0.048918, epoch loss=0.139584 Batch=239, step=17040, lr=0.129000, batch loss=0.073608, epoch loss=0.213192 Batch=299, step=17100, lr=0.129000, batch loss=0.075718, epoch loss=0.288910 Batch=359, step=17160, lr=0.128500, batch loss=0.052304, epoch loss=0.341213 Batch=419, step=17220, lr=0.128500, batch loss=0.054928, epoch loss=0.396141 Batch=479, step=17280, lr=0.128250, batch loss=0.029269, epoch loss=0.425411 Batch=539, step=17340, lr=0.128000, batch loss=0.037927, epoch loss=0.463338 Batch=599, step=17400, lr=0.127500, batch loss=0.034186, epoch loss=0.497523 Batch=659, step=17460, lr=0.127250, batch loss=0.047446, epoch loss=0.544969 Batch=719, step=17520, lr=0.127000, batch loss=0.037926, epoch loss=0.582895 Batch=779, step=17580, lr=0.126750, batch loss=0.040111, epoch loss=0.623006 Batch=839, step=17640, lr=0.126750, batch loss=0.054261, epoch loss=0.677267 Batch=899, step=17700, lr=0.126250, batch loss=0.056723, epoch loss=0.733990 Batch=959, step=17760, lr=0.126250, batch loss=0.040611, epoch loss=0.774601 Batch=1019, step=17820, lr=0.125750, batch loss=0.116279, epoch loss=0.890880 Batch=1079, step=17880, lr=0.125500, batch loss=0.030715, epoch loss=0.921595 Batch=1139, step=17940, lr=0.125500, batch loss=0.054295, epoch loss=0.975889 Batch=1199, step=18000, lr=0.125250, batch loss=0.021820, epoch loss=0.997710 Epoch=14, step=18000, lr=0.125250, epoch loss=0.997710 Batch=59, step=18060, lr=0.125000, batch loss=0.012778, epoch loss=0.012778 Batch=119, step=18120, lr=0.124750, batch loss=0.019770, epoch loss=0.032548 Batch=179, step=18180, lr=0.124500, batch loss=0.029313, epoch loss=0.061860 Batch=239, step=18240, lr=0.124250, batch loss=0.033839, epoch loss=0.095699 Batch=299, step=18300, lr=0.123750, batch loss=0.021105, epoch loss=0.116804 Batch=359, step=18360, lr=0.123750, batch loss=0.066913, epoch loss=0.183717 Batch=419, step=18420, lr=0.123500, batch loss=0.032328, epoch loss=0.216045 Batch=479, step=18480, lr=0.123250, batch loss=0.011097, epoch loss=0.227142 Batch=539, step=18540, lr=0.122750, batch loss=0.032006, epoch loss=0.259148 Batch=599, step=18600, lr=0.122750, batch loss=0.036541, epoch loss=0.295689 Batch=659, step=18660, lr=0.122500, batch loss=0.027531, epoch loss=0.323220 Batch=719, step=18720, lr=0.122250, batch loss=0.042279, epoch loss=0.365499 Batch=779, step=18780, lr=0.122000, batch loss=0.097109, epoch loss=0.462608 Batch=839, step=18840, lr=0.121750, batch loss=0.052226, epoch loss=0.514834 Batch=899, step=18900, lr=0.121500, batch loss=0.055389, epoch loss=0.570223 Batch=959, step=18960, lr=0.121250, batch loss=0.013552, epoch loss=0.583775 Batch=1019, step=19020, lr=0.121000, batch loss=0.021961, epoch loss=0.605736 Batch=1079, step=19080, lr=0.120750, batch loss=0.008132, epoch loss=0.613869 Batch=1139, step=19140, lr=0.120500, batch loss=0.023829, epoch loss=0.637698 Batch=1199, step=19200, lr=0.120250, batch loss=0.009201, epoch loss=0.646899 Epoch=15, step=19200, lr=0.120250, epoch loss=0.646899 Batch=59, step=19260, lr=0.120000, batch loss=0.004380, epoch loss=0.004380 Batch=119, step=19320, lr=0.119750, batch loss=0.022821, epoch loss=0.027201 Batch=179, step=19380, lr=0.119500, batch loss=0.043985, epoch loss=0.071185 Batch=239, step=19440, lr=0.119250, batch loss=0.020917, epoch loss=0.092103 Batch=299, step=19500, lr=0.118750, batch loss=0.004946, epoch loss=0.097048 Batch=359, step=19560, lr=0.118750, batch loss=0.017097, epoch loss=0.114145 Batch=419, step=19620, lr=0.118500, batch loss=0.020358, epoch loss=0.134502 Batch=479, step=19680, lr=0.118250, batch loss=0.008322, epoch loss=0.142825 Batch=539, step=19740, lr=0.118000, batch loss=0.016881, epoch loss=0.159705 Batch=599, step=19800, lr=0.117750, batch loss=0.024753, epoch loss=0.184458 Batch=659, step=19860, lr=0.117250, batch loss=0.018010, epoch loss=0.202468 Batch=719, step=19920, lr=0.117250, batch loss=0.053679, epoch loss=0.256147 Batch=779, step=19980, lr=0.117000, batch loss=0.077332, epoch loss=0.333478 Batch=839, step=20040, lr=0.116750, batch loss=0.031751, epoch loss=0.365230 Batch=899, step=20100, lr=0.116500, batch loss=0.033337, epoch loss=0.398566 Batch=959, step=20160, lr=0.116250, batch loss=0.016274, epoch loss=0.414840 Batch=1019, step=20220, lr=0.116000, batch loss=0.016783, epoch loss=0.431623 Batch=1079, step=20280, lr=0.115750, batch loss=0.001790, epoch loss=0.433413 Batch=1139, step=20340, lr=0.115250, batch loss=0.015415, epoch loss=0.448828 Batch=1199, step=20400, lr=0.115250, batch loss=0.006109, epoch loss=0.454937 Epoch=16, step=20400, lr=0.115250, epoch loss=0.454937 Batch=59, step=20460, lr=0.115000, batch loss=0.002846, epoch loss=0.002846 Batch=119, step=20520, lr=0.114750, batch loss=0.011381, epoch loss=0.014228 Batch=179, step=20580, lr=0.114250, batch loss=0.025755, epoch loss=0.039983 Batch=239, step=20640, lr=0.114250, batch loss=0.014634, epoch loss=0.054617 Batch=299, step=20700, lr=0.113750, batch loss=0.009167, epoch loss=0.063784 Batch=359, step=20760, lr=0.113500, batch loss=0.018846, epoch loss=0.082630 Batch=419, step=20820, lr=0.113500, batch loss=0.016317, epoch loss=0.098947 Batch=479, step=20880, lr=0.113250, batch loss=0.004708, epoch loss=0.103655 Batch=539, step=20940, lr=0.112750, batch loss=0.025410, epoch loss=0.129065 Batch=599, step=21000, lr=0.112750, batch loss=0.023157, epoch loss=0.152222 Batch=659, step=21060, lr=0.112500, batch loss=0.016630, epoch loss=0.168853 Batch=719, step=21120, lr=0.112250, batch loss=0.030944, epoch loss=0.199797 Batch=779, step=21180, lr=0.112000, batch loss=0.066705, epoch loss=0.266501 Batch=839, step=21240, lr=0.111750, batch loss=0.025313, epoch loss=0.291814 Batch=899, step=21300, lr=0.111500, batch loss=0.031044, epoch loss=0.322858 Batch=959, step=21360, lr=0.111250, batch loss=0.010849, epoch loss=0.333707 Batch=1019, step=21420, lr=0.111000, batch loss=0.012574, epoch loss=0.346281 Batch=1079, step=21480, lr=0.110750, batch loss=0.001411, epoch loss=0.347692 Batch=1139, step=21540, lr=0.110250, batch loss=0.012393, epoch loss=0.360085 Batch=1199, step=21600, lr=0.110250, batch loss=0.004705, epoch loss=0.364790 Epoch=17, step=21600, lr=0.110250, epoch loss=0.364790 Batch=59, step=21660, lr=0.110000, batch loss=0.001240, epoch loss=0.001240 Batch=119, step=21720, lr=0.109750, batch loss=0.008778, epoch loss=0.010018 Batch=179, step=21780, lr=0.109500, batch loss=0.020895, epoch loss=0.030913 Batch=239, step=21840, lr=0.109250, batch loss=0.011207, epoch loss=0.042120 Batch=299, step=21900, lr=0.109000, batch loss=0.002495, epoch loss=0.044615 Batch=359, step=21960, lr=0.108750, batch loss=0.015551, epoch loss=0.060166 Batch=419, step=22020, lr=0.108500, batch loss=0.012798, epoch loss=0.072964 Batch=479, step=22080, lr=0.108250, batch loss=0.002937, epoch loss=0.075901 Batch=539, step=22140, lr=0.108000, batch loss=0.016892, epoch loss=0.092793 Batch=599, step=22200, lr=0.107750, batch loss=0.015758, epoch loss=0.108550 Batch=659, step=22260, lr=0.107500, batch loss=0.011920, epoch loss=0.120470 Batch=719, step=22320, lr=0.107250, batch loss=0.017887, epoch loss=0.138357 Batch=779, step=22380, lr=0.107000, batch loss=0.024439, epoch loss=0.162797 Batch=839, step=22440, lr=0.106750, batch loss=0.027638, epoch loss=0.190435 Batch=899, step=22500, lr=0.106500, batch loss=0.025089, epoch loss=0.215524 Batch=959, step=22560, lr=0.106250, batch loss=0.009186, epoch loss=0.224710 Batch=1019, step=22620, lr=0.106000, batch loss=0.009331, epoch loss=0.234041 Batch=1079, step=22680, lr=0.105750, batch loss=0.001662, epoch loss=0.235703 Batch=1139, step=22740, lr=0.105500, batch loss=0.010684, epoch loss=0.246387 Batch=1199, step=22800, lr=0.105250, batch loss=0.005076, epoch loss=0.251463 Epoch=18, step=22800, lr=0.105250, epoch loss=0.251463 Batch=59, step=22860, lr=0.105000, batch loss=0.001895, epoch loss=0.001895 Batch=119, step=22920, lr=0.104500, batch loss=0.005224, epoch loss=0.007119 Batch=179, step=22980, lr=0.104250, batch loss=0.010675, epoch loss=0.017794 Batch=239, step=23040, lr=0.104250, batch loss=0.009107, epoch loss=0.026901 Batch=299, step=23100, lr=0.104000, batch loss=0.007076, epoch loss=0.033977 Batch=359, step=23160, lr=0.103750, batch loss=0.011864, epoch loss=0.045841 Batch=419, step=23220, lr=0.103250, batch loss=0.010699, epoch loss=0.056540 Batch=479, step=23280, lr=0.103250, batch loss=0.002303, epoch loss=0.058843 Batch=539, step=23340, lr=0.103000, batch loss=0.016930, epoch loss=0.075774 Batch=599, step=23400, lr=0.102750, batch loss=0.013514, epoch loss=0.089288 Batch=659, step=23460, lr=0.102500, batch loss=0.010195, epoch loss=0.099483 Batch=719, step=23520, lr=0.102250, batch loss=0.016538, epoch loss=0.116021 Batch=779, step=23580, lr=0.102000, batch loss=0.021425, epoch loss=0.137447 Batch=839, step=23640, lr=0.101750, batch loss=0.024289, epoch loss=0.161735 Batch=899, step=23700, lr=0.101250, batch loss=0.024517, epoch loss=0.186253 Batch=959, step=23760, lr=0.101250, batch loss=0.008174, epoch loss=0.194427 Batch=1019, step=23820, lr=0.101000, batch loss=0.007286, epoch loss=0.201713 Batch=1079, step=23880, lr=0.100500, batch loss=0.000559, epoch loss=0.202272 Batch=1139, step=23940, lr=0.100500, batch loss=0.008864, epoch loss=0.211136 Batch=1199, step=24000, lr=0.100250, batch loss=0.004359, epoch loss=0.215495 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215495 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##***************.******************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................********.................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-30 16:05.58: Job failed: Failed: Build failed