2025-05-18 21:01.37: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (3bbef1587191f540e2f0d222795d9686d7f042fc) (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 3bbef158 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992 # fedora-41-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-18 21:01.37: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-18 21:01.37: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) (comment fedora-41-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-18 21:01.37: Waiting for resource in pool OCluster 2025-05-18 21:01.37: Waiting for worker… 2025-05-18 21:01.54: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 3bbef158 Metal logging: failsafe for "internal compiler error" (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-18 21:01.56 ---> 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% | 4.2 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 174.8 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 177.6 KiB/s | 24.2 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 4.2 MiB/s | 9.7 MiB | 00m02s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-18 21:02.08 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-18 21:02.08 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. Continue? [y/n] y 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. Format upgrade done. [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 <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-18 21:03.07 ---> saved as "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-18 21:03.08 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-18 21:03.10 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..7698a43853 master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-18 21:03.58 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-18 21:04.01 ---> saved as "b959751774b96fd56fa07ab914c7f680d6f2ab5d253b3cbc00f44b29e874cafd" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-18 21:04.04 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-18 21:04.05 ---> saved as "45e1ac33b7920d781d1beb4d6f77c9934823b68dbecf868e72ec27d1816c58dd" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "yum" "makecache" - Updating and loading repositories: - Repositories loaded. - Metadata cache created. <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 479.4 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 141.0 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 21.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 313.4 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-18 21:04.37 ---> saved as "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved 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_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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 ptime.1.2.0 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed result.1.5 -> 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-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed thread-local-storage.0.2 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.2 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.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) 2025-05-18 21:07.22 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-18 21:07.23 ---> saved as "6f2ad18da85c5dbace8f861aeb12c42bcd55bb40c954a24377431d232d77ec28" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4dd2f98e5fed3630d95d5b47b558d425/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-29, characters 0-281: 19 | (rule 20 | (alias runtest) 21 | (target 22 | (dir log_files)) 23 | (action 24 | (run 25 | %{dep:micrograd_demo_logging.exe} 26 | "--ocannl_debug_backend=text" 27 | "--ocannl_log_file_stem=micrograd_demo_logging" 28 | "--ocannl_log_main_domain_to_stdout=false" 29 | "--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 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_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/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8e7831b231067be8f4a935f913a0d1a3/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/8e7831b231067be8f4a935f913a0d1a3/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 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_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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.845226, epoch loss=35.615435 Batch=299, step=300, lr=0.199000, batch loss=1.456835, epoch loss=37.072270 Batch=359, step=360, lr=0.198750, batch loss=1.326921, epoch loss=38.399190 Batch=419, step=420, lr=0.198250, batch loss=0.621683, epoch loss=39.020873 Batch=479, step=480, lr=0.198000, batch loss=0.816799, epoch loss=39.837672 Batch=539, step=540, lr=0.197750, batch loss=0.698329, epoch loss=40.536001 Batch=599, step=600, lr=0.197500, batch loss=1.071667, epoch loss=41.607668 Batch=659, step=660, lr=0.197250, batch loss=0.482999, epoch loss=42.090668 Batch=719, step=720, lr=0.197000, batch loss=0.411581, epoch loss=42.502249 Batch=779, step=780, lr=0.196750, batch loss=0.469898, epoch loss=42.972147 Batch=839, step=840, lr=0.196500, batch loss=0.444597, epoch loss=43.416744 Batch=899, step=900, lr=0.196500, batch loss=0.383334, epoch loss=43.800078 Batch=959, step=960, lr=0.196250, batch loss=0.241201, epoch loss=44.041280 Batch=1019, step=1020, lr=0.196000, batch loss=0.437973, epoch loss=44.479253 Batch=1079, step=1080, lr=0.195750, batch loss=0.227516, epoch loss=44.706770 Batch=1139, step=1140, lr=0.195500, batch loss=0.313896, epoch loss=45.020666 Batch=1199, step=1200, lr=0.195250, batch loss=0.262902, epoch loss=45.283569 Epoch=0, step=1200, lr=0.195250, epoch loss=45.283569 Batch=59, step=1260, lr=0.195000, batch loss=0.262551, epoch loss=0.262551 Batch=119, step=1320, lr=0.194750, batch loss=0.210133, epoch loss=0.472684 Batch=179, step=1380, lr=0.194250, batch loss=0.244526, epoch loss=0.717210 Batch=239, step=1440, lr=0.194250, batch loss=0.351668, epoch loss=1.068879 Batch=299, step=1500, lr=0.193750, batch loss=0.238766, epoch loss=1.307644 Batch=359, step=1560, lr=0.193500, batch loss=0.311682, epoch loss=1.619326 Batch=419, step=1620, lr=0.193250, batch loss=0.308074, epoch loss=1.927400 Batch=479, step=1680, lr=0.193000, batch loss=0.275446, epoch loss=2.202846 Batch=539, step=1740, lr=0.193000, batch loss=0.210395, epoch loss=2.413241 Batch=599, step=1800, lr=0.192500, batch loss=0.255121, epoch loss=2.668362 Batch=659, step=1860, lr=0.192250, batch loss=0.371335, epoch loss=3.039696 Batch=719, step=1920, lr=0.192000, batch loss=0.361155, epoch loss=3.400852 Batch=779, step=1980, lr=0.191750, batch loss=0.382749, epoch loss=3.783601 Batch=839, step=2040, lr=0.191500, batch loss=0.341780, epoch loss=4.125381 Batch=899, step=2100, lr=0.191250, batch loss=0.306763, epoch loss=4.432145 Batch=959, step=2160, lr=0.191250, batch loss=0.237577, epoch loss=4.669722 Batch=1019, step=2220, lr=0.190750, batch loss=0.364120, epoch loss=5.033842 Batch=1079, step=2280, lr=0.190500, batch loss=0.230222, epoch loss=5.264064 Batch=1139, step=2340, lr=0.190500, batch loss=0.273932, epoch loss=5.537996 Batch=1199, step=2400, lr=0.190000, batch loss=0.217636, epoch loss=5.755632 Epoch=1, step=2400, lr=0.190000, epoch loss=5.755632 Batch=59, step=2460, lr=0.189750, batch loss=0.229775, epoch loss=0.229775 Batch=119, step=2520, lr=0.189500, batch loss=0.189009, epoch loss=0.418784 Batch=179, step=2580, lr=0.189250, batch loss=0.220251, epoch loss=0.639035 Batch=239, step=2640, lr=0.189250, batch loss=0.330954, epoch loss=0.969989 Batch=299, step=2700, lr=0.189000, batch loss=0.223527, epoch loss=1.193515 Batch=359, step=2760, lr=0.188500, batch loss=0.299267, epoch loss=1.492782 Batch=419, step=2820, lr=0.188250, batch loss=0.289783, epoch loss=1.782565 Batch=479, step=2880, lr=0.188000, batch loss=0.265897, epoch loss=2.048462 Batch=539, step=2940, lr=0.187750, batch loss=0.207205, epoch loss=2.255667 Batch=599, step=3000, lr=0.187500, batch loss=0.253570, epoch loss=2.509237 Batch=659, step=3060, lr=0.187250, batch loss=0.343486, epoch loss=2.852724 Batch=719, step=3120, lr=0.187000, batch loss=0.344746, epoch loss=3.197470 Batch=779, step=3180, lr=0.187000, batch loss=0.365852, epoch loss=3.563321 Batch=839, step=3240, lr=0.186750, batch loss=0.324143, epoch loss=3.887464 Batch=899, step=3300, lr=0.186500, batch loss=0.285648, epoch loss=4.173112 Batch=959, step=3360, lr=0.186000, batch loss=0.215250, epoch loss=4.388362 Batch=1019, step=3420, lr=0.185750, batch loss=0.304886, epoch loss=4.693248 Batch=1079, step=3480, lr=0.185500, batch loss=0.171509, epoch loss=4.864757 Batch=1139, step=3540, lr=0.185250, batch loss=0.229600, epoch loss=5.094357 Batch=1199, step=3600, lr=0.185000, batch loss=0.201457, epoch loss=5.295814 Epoch=2, step=3600, lr=0.185000, epoch loss=5.295814 Batch=59, step=3660, lr=0.184750, batch loss=0.236422, epoch loss=0.236422 Batch=119, step=3720, lr=0.184750, batch loss=0.202123, epoch loss=0.438544 Batch=179, step=3780, lr=0.184250, batch loss=0.210145, epoch loss=0.648689 Batch=239, step=3840, lr=0.184000, batch loss=0.315793, epoch loss=0.964482 Batch=299, step=3900, lr=0.184000, batch loss=0.205322, epoch loss=1.169805 Batch=359, step=3960, lr=0.183500, batch loss=0.281741, epoch loss=1.451546 Batch=419, step=4020, lr=0.183250, batch loss=0.271317, epoch loss=1.722862 Batch=479, step=4080, lr=0.183250, batch loss=0.244673, epoch loss=1.967535 Batch=539, step=4140, lr=0.182750, batch loss=0.194018, epoch loss=2.161553 Batch=599, step=4200, lr=0.182750, batch loss=0.233421, epoch loss=2.394975 Batch=659, step=4260, lr=0.182500, batch loss=0.334764, epoch loss=2.729739 Batch=719, step=4320, lr=0.182250, batch loss=0.346598, epoch loss=3.076337 Batch=779, step=4380, lr=0.182000, batch loss=0.345000, epoch loss=3.421337 Batch=839, step=4440, lr=0.181750, batch loss=0.317904, epoch loss=3.739241 Batch=899, step=4500, lr=0.181500, batch loss=0.282869, epoch loss=4.022110 Batch=959, step=4560, lr=0.181250, batch loss=0.218665, epoch loss=4.240775 Batch=1019, step=4620, lr=0.181000, batch loss=0.349271, epoch loss=4.590046 Batch=1079, step=4680, lr=0.180750, batch loss=0.216632, epoch loss=4.806677 Batch=1139, step=4740, lr=0.180500, batch loss=0.249865, epoch loss=5.056543 Batch=1199, step=4800, lr=0.180250, batch loss=0.190544, epoch loss=5.247086 Epoch=3, step=4800, lr=0.180250, epoch loss=5.247086 Batch=59, step=4860, lr=0.180000, batch loss=0.226745, epoch loss=0.226745 Batch=119, step=4920, lr=0.179750, batch loss=0.190779, epoch loss=0.417524 Batch=179, step=4980, lr=0.179500, batch loss=0.206562, epoch loss=0.624086 Batch=239, step=5040, lr=0.179250, batch loss=0.311090, epoch loss=0.935176 Batch=299, step=5100, lr=0.179000, batch loss=0.206727, epoch loss=1.141903 Batch=359, step=5160, lr=0.178750, batch loss=0.275264, epoch loss=1.417167 Batch=419, step=5220, lr=0.178500, batch loss=0.268794, epoch loss=1.685961 Batch=479, step=5280, lr=0.178250, batch loss=0.253311, epoch loss=1.939272 Batch=539, step=5340, lr=0.178000, batch loss=0.192302, epoch loss=2.131574 Batch=599, step=5400, lr=0.177750, batch loss=0.229165, epoch loss=2.360739 Batch=659, step=5460, lr=0.177500, batch loss=0.325580, epoch loss=2.686320 Batch=719, step=5520, lr=0.177250, batch loss=0.334261, epoch loss=3.020581 Batch=779, step=5580, lr=0.177000, batch loss=0.343285, epoch loss=3.363866 Batch=839, step=5640, lr=0.176750, batch loss=0.309843, epoch loss=3.673709 Batch=899, step=5700, lr=0.176500, batch loss=0.273100, epoch loss=3.946808 Batch=959, step=5760, lr=0.176250, batch loss=0.215861, epoch loss=4.162669 Batch=1019, step=5820, lr=0.176000, batch loss=0.336584, epoch loss=4.499253 Batch=1079, step=5880, lr=0.175750, batch loss=0.189539, epoch loss=4.688792 Batch=1139, step=5940, lr=0.175500, batch loss=0.224658, epoch loss=4.913449 Batch=1199, step=6000, lr=0.175250, batch loss=0.188566, epoch loss=5.102016 Epoch=4, step=6000, lr=0.175250, epoch loss=5.102016 Batch=59, step=6060, lr=0.175000, batch loss=0.237552, epoch loss=0.237552 Batch=119, step=6120, lr=0.174750, batch loss=0.189217, epoch loss=0.426770 Batch=179, step=6180, lr=0.174500, batch loss=0.202232, epoch loss=0.629002 Batch=239, step=6240, lr=0.174250, batch loss=0.300145, epoch loss=0.929147 Batch=299, step=6300, lr=0.174000, batch loss=0.209902, epoch loss=1.139049 Batch=359, step=6360, lr=0.173750, batch loss=0.275562, epoch loss=1.414611 Batch=419, step=6420, lr=0.173500, batch loss=0.268310, epoch loss=1.682921 Batch=479, step=6480, lr=0.173000, batch loss=0.240955, epoch loss=1.923876 Batch=539, step=6540, lr=0.173000, batch loss=0.197326, epoch loss=2.121202 Batch=599, step=6600, lr=0.172750, batch loss=0.231938, epoch loss=2.353140 Batch=659, step=6660, lr=0.172500, batch loss=0.314330, epoch loss=2.667470 Batch=719, step=6720, lr=0.172250, batch loss=0.317932, epoch loss=2.985402 Batch=779, step=6780, lr=0.172000, batch loss=0.331393, epoch loss=3.316795 Batch=839, step=6840, lr=0.171750, batch loss=0.307395, epoch loss=3.624190 Batch=899, step=6900, lr=0.171500, batch loss=0.268992, epoch loss=3.893183 Batch=959, step=6960, lr=0.171250, batch loss=0.208835, epoch loss=4.102017 Batch=1019, step=7020, lr=0.171000, batch loss=0.331187, epoch loss=4.433205 Batch=1079, step=7080, lr=0.170750, batch loss=0.179551, epoch loss=4.612755 Batch=1139, step=7140, lr=0.170500, batch loss=0.216499, epoch loss=4.829254 Batch=1199, step=7200, lr=0.170250, batch loss=0.182128, epoch loss=5.011382 Epoch=5, step=7200, lr=0.170250, epoch loss=5.011382 Batch=59, step=7260, lr=0.170000, batch loss=0.232349, epoch loss=0.232349 Batch=119, step=7320, lr=0.169750, batch loss=0.184294, epoch loss=0.416643 Batch=179, step=7380, lr=0.169500, batch loss=0.196206, epoch loss=0.612849 Batch=239, step=7440, lr=0.169000, batch loss=0.291801, epoch loss=0.904650 Batch=299, step=7500, lr=0.169000, batch loss=0.201491, epoch loss=1.106141 Batch=359, step=7560, lr=0.168750, batch loss=0.258423, epoch loss=1.364564 Batch=419, step=7620, lr=0.168500, batch loss=0.257438, epoch loss=1.622002 Batch=479, step=7680, lr=0.168250, batch loss=0.236048, epoch loss=1.858050 Batch=539, step=7740, lr=0.168000, batch loss=0.189563, epoch loss=2.047612 Batch=599, step=7800, lr=0.167500, batch loss=0.224204, epoch loss=2.271816 Batch=659, step=7860, lr=0.167500, batch loss=0.305643, epoch loss=2.577459 Batch=719, step=7920, lr=0.167250, batch loss=0.307476, epoch loss=2.884935 Batch=779, step=7980, lr=0.167000, batch loss=0.321161, epoch loss=3.206095 Batch=839, step=8040, lr=0.166750, batch loss=0.296617, epoch loss=3.502713 Batch=899, step=8100, lr=0.166500, batch loss=0.259052, epoch loss=3.761765 Batch=959, step=8160, lr=0.166250, batch loss=0.204127, epoch loss=3.965892 Batch=1019, step=8220, lr=0.166000, batch loss=0.316564, epoch loss=4.282456 Batch=1079, step=8280, lr=0.165750, batch loss=0.170401, epoch loss=4.452856 Batch=1139, step=8340, lr=0.165500, batch loss=0.207300, epoch loss=4.660157 Batch=1199, step=8400, lr=0.165250, batch loss=0.179962, epoch loss=4.840119 Epoch=6, step=8400, lr=0.165250, epoch loss=4.840119 Batch=59, step=8460, lr=0.165000, batch loss=0.227512, epoch loss=0.227512 Batch=119, step=8520, lr=0.164750, batch loss=0.175993, epoch loss=0.403506 Batch=179, step=8580, lr=0.164500, batch loss=0.187205, epoch loss=0.590710 Batch=239, step=8640, lr=0.164250, batch loss=0.276629, epoch loss=0.867339 Batch=299, step=8700, lr=0.164000, batch loss=0.184051, epoch loss=1.051390 Batch=359, step=8760, lr=0.163750, batch loss=0.244903, epoch loss=1.296293 Batch=419, step=8820, lr=0.163500, batch loss=0.241883, epoch loss=1.538176 Batch=479, step=8880, lr=0.163250, batch loss=0.223182, epoch loss=1.761358 Batch=539, step=8940, lr=0.163000, batch loss=0.184234, epoch loss=1.945592 Batch=599, step=9000, lr=0.162750, batch loss=0.211663, epoch loss=2.157255 Batch=659, step=9060, lr=0.162250, batch loss=0.294122, epoch loss=2.451376 Batch=719, step=9120, lr=0.162250, batch loss=0.295313, epoch loss=2.746689 Batch=779, step=9180, lr=0.161750, batch loss=0.315161, epoch loss=3.061851 Batch=839, step=9240, lr=0.161750, batch loss=0.281365, epoch loss=3.343215 Batch=899, step=9300, lr=0.161500, batch loss=0.253213, epoch loss=3.596428 Batch=959, step=9360, lr=0.161250, batch loss=0.210728, epoch loss=3.807157 Batch=1019, step=9420, lr=0.161000, batch loss=0.302611, epoch loss=4.109767 Batch=1079, step=9480, lr=0.160750, batch loss=0.183965, epoch loss=4.293732 Batch=1139, step=9540, lr=0.160250, batch loss=0.208789, epoch loss=4.502521 Batch=1199, step=9600, lr=0.160250, batch loss=0.166487, epoch loss=4.669008 Epoch=7, step=9600, lr=0.160250, epoch loss=4.669008 Batch=59, step=9660, lr=0.160000, batch loss=0.194605, epoch loss=0.194605 Batch=119, step=9720, lr=0.159500, batch loss=0.167835, epoch loss=0.362440 Batch=179, step=9780, lr=0.159500, batch loss=0.179472, epoch loss=0.541913 Batch=239, step=9840, lr=0.159250, batch loss=0.263946, epoch loss=0.805859 Batch=299, step=9900, lr=0.159000, batch loss=0.180910, epoch loss=0.986770 Batch=359, step=9960, lr=0.158500, batch loss=0.242283, epoch loss=1.229053 Batch=419, step=10020, lr=0.158250, batch loss=0.233255, epoch loss=1.462308 Batch=479, step=10080, lr=0.158250, batch loss=0.213259, epoch loss=1.675567 Batch=539, step=10140, lr=0.158000, batch loss=0.171332, epoch loss=1.846898 Batch=599, step=10200, lr=0.157750, batch loss=0.201188, epoch loss=2.048087 Batch=659, step=10260, lr=0.157500, batch loss=0.281192, epoch loss=2.329279 Batch=719, step=10320, lr=0.157250, batch loss=0.280118, epoch loss=2.609397 Batch=779, step=10380, lr=0.157000, batch loss=0.298179, epoch loss=2.907576 Batch=839, step=10440, lr=0.156750, batch loss=0.272442, epoch loss=3.180017 Batch=899, step=10500, lr=0.156500, batch loss=0.237909, epoch loss=3.417926 Batch=959, step=10560, lr=0.156250, batch loss=0.201388, epoch loss=3.619314 Batch=1019, step=10620, lr=0.155750, batch loss=0.289932, epoch loss=3.909247 Batch=1079, step=10680, lr=0.155750, batch loss=0.185315, epoch loss=4.094561 Batch=1139, step=10740, lr=0.155500, batch loss=0.202547, epoch loss=4.297108 Batch=1199, step=10800, lr=0.155000, batch loss=0.155385, epoch loss=4.452494 Epoch=8, step=10800, lr=0.155000, epoch loss=4.452494 Batch=59, step=10860, lr=0.154750, batch loss=0.176677, epoch loss=0.176677 Batch=119, step=10920, lr=0.154750, batch loss=0.152759, epoch loss=0.329436 Batch=179, step=10980, lr=0.154500, batch loss=0.166624, epoch loss=0.496061 Batch=239, step=11040, lr=0.154000, batch loss=0.246505, epoch loss=0.742566 Batch=299, step=11100, lr=0.153750, batch loss=0.160641, epoch loss=0.903207 Batch=359, step=11160, lr=0.153500, batch loss=0.217207, epoch loss=1.120413 Batch=419, step=11220, lr=0.153500, batch loss=0.216932, epoch loss=1.337346 Batch=479, step=11280, lr=0.153250, batch loss=0.210373, epoch loss=1.547719 Batch=539, step=11340, lr=0.152750, batch loss=0.163529, epoch loss=1.711248 Batch=599, step=11400, lr=0.152750, batch loss=0.179381, epoch loss=1.890629 Batch=659, step=11460, lr=0.152500, batch loss=0.265240, epoch loss=2.155869 Batch=719, step=11520, lr=0.152000, batch loss=0.266193, epoch loss=2.422062 Batch=779, step=11580, lr=0.152000, batch loss=0.273103, epoch loss=2.695165 Batch=839, step=11640, lr=0.151500, batch loss=0.251988, epoch loss=2.947153 Batch=899, step=11700, lr=0.151500, batch loss=0.219255, epoch loss=3.166408 Batch=959, step=11760, lr=0.151250, batch loss=0.192550, epoch loss=3.358958 Batch=1019, step=11820, lr=0.150750, batch loss=0.289431, epoch loss=3.648389 Batch=1079, step=11880, lr=0.150500, batch loss=0.146793, epoch loss=3.795182 Batch=1139, step=11940, lr=0.150500, batch loss=0.187433, epoch loss=3.982614 Batch=1199, step=12000, lr=0.150250, batch loss=0.139533, epoch loss=4.122148 Epoch=9, step=12000, lr=0.150250, epoch loss=4.122148 Batch=59, step=12060, lr=0.150000, batch loss=0.163753, epoch loss=0.163753 Batch=119, step=12120, lr=0.149750, batch loss=0.135462, epoch loss=0.299214 Batch=179, step=12180, lr=0.149500, batch loss=0.151575, epoch loss=0.450789 Batch=239, step=12240, lr=0.149250, batch loss=0.220677, epoch loss=0.671466 Batch=299, step=12300, lr=0.148750, batch loss=0.141697, epoch loss=0.813164 Batch=359, step=12360, lr=0.148750, batch loss=0.196121, epoch loss=1.009284 Batch=419, step=12420, lr=0.148250, batch loss=0.208360, epoch loss=1.217644 Batch=479, step=12480, lr=0.148000, batch loss=0.177874, epoch loss=1.395518 Batch=539, step=12540, lr=0.147750, batch loss=0.144047, epoch loss=1.539565 Batch=599, step=12600, lr=0.147750, batch loss=0.148899, epoch loss=1.688464 Batch=659, step=12660, lr=0.147500, batch loss=0.222685, epoch loss=1.911149 Batch=719, step=12720, lr=0.147000, batch loss=0.231127, epoch loss=2.142276 Batch=779, step=12780, lr=0.147000, batch loss=0.234243, epoch loss=2.376519 Batch=839, step=12840, lr=0.146750, batch loss=0.229410, epoch loss=2.605929 Batch=899, step=12900, lr=0.146500, batch loss=0.197611, epoch loss=2.803539 Batch=959, step=12960, lr=0.146250, batch loss=0.164363, epoch loss=2.967903 Batch=1019, step=13020, lr=0.145750, batch loss=0.261443, epoch loss=3.229345 Batch=1079, step=13080, lr=0.145750, batch loss=0.122908, epoch loss=3.352254 Batch=1139, step=13140, lr=0.145500, batch loss=0.165818, epoch loss=3.518071 Batch=1199, step=13200, lr=0.145000, batch loss=0.118288, epoch loss=3.636359 Epoch=10, step=13200, lr=0.145000, epoch loss=3.636359 Batch=59, step=13260, lr=0.144750, batch loss=0.136030, epoch loss=0.136030 Batch=119, step=13320, lr=0.144500, batch loss=0.113015, epoch loss=0.249045 Batch=179, step=13380, lr=0.144250, batch loss=0.129197, epoch loss=0.378242 Batch=239, step=13440, lr=0.144250, batch loss=0.189327, epoch loss=0.567569 Batch=299, step=13500, lr=0.143750, batch loss=0.114650, epoch loss=0.682219 Batch=359, step=13560, lr=0.143500, batch loss=0.161979, epoch loss=0.844198 Batch=419, step=13620, lr=0.143500, batch loss=0.160684, epoch loss=1.004882 Batch=479, step=13680, lr=0.143250, batch loss=0.147613, epoch loss=1.152495 Batch=539, step=13740, lr=0.142750, batch loss=0.118432, epoch loss=1.270927 Batch=599, step=13800, lr=0.142500, batch loss=0.121504, epoch loss=1.392431 Batch=659, step=13860, lr=0.142250, batch loss=0.178094, epoch loss=1.570525 Batch=719, step=13920, lr=0.142000, batch loss=0.174448, epoch loss=1.744973 Batch=779, step=13980, lr=0.141750, batch loss=0.189463, epoch loss=1.934435 Batch=839, step=14040, lr=0.141500, batch loss=0.192158, epoch loss=2.126593 Batch=899, step=14100, lr=0.141500, batch loss=0.202032, epoch loss=2.328625 Batch=959, step=14160, lr=0.141250, batch loss=0.120559, epoch loss=2.449184 Batch=1019, step=14220, lr=0.141000, batch loss=0.203551, epoch loss=2.652735 Batch=1079, step=14280, lr=0.140500, batch loss=0.080416, epoch loss=2.733151 Batch=1139, step=14340, lr=0.140250, batch loss=0.128850, epoch loss=2.862001 Batch=1199, step=14400, lr=0.140250, batch loss=0.088025, epoch loss=2.950027 Epoch=11, step=14400, lr=0.140250, epoch loss=2.950027 Batch=59, step=14460, lr=0.139750, batch loss=0.104777, epoch loss=0.104777 Batch=119, step=14520, lr=0.139500, batch loss=0.100522, epoch loss=0.205299 Batch=179, step=14580, lr=0.139250, batch loss=0.099445, epoch loss=0.304744 Batch=239, step=14640, lr=0.139000, batch loss=0.145796, epoch loss=0.450539 Batch=299, step=14700, lr=0.138750, batch loss=0.113581, epoch loss=0.564121 Batch=359, step=14760, lr=0.138750, batch loss=0.134256, epoch loss=0.698376 Batch=419, step=14820, lr=0.138500, batch loss=0.160123, epoch loss=0.858500 Batch=479, step=14880, lr=0.138250, batch loss=0.087978, epoch loss=0.946478 Batch=539, step=14940, lr=0.138000, batch loss=0.070822, epoch loss=1.017300 Batch=599, step=15000, lr=0.137500, batch loss=0.088390, epoch loss=1.105690 Batch=659, step=15060, lr=0.137250, batch loss=0.158005, epoch loss=1.263695 Batch=719, step=15120, lr=0.137000, batch loss=0.139688, epoch loss=1.403383 Batch=779, step=15180, lr=0.137000, batch loss=0.175835, epoch loss=1.579218 Batch=839, step=15240, lr=0.136750, batch loss=0.170789, epoch loss=1.750007 Batch=899, step=15300, lr=0.136250, batch loss=0.281394, epoch loss=2.031401 Batch=959, step=15360, lr=0.136000, batch loss=0.056875, epoch loss=2.088276 Batch=1019, step=15420, lr=0.136000, batch loss=0.128503, epoch loss=2.216779 Batch=1079, step=15480, lr=0.135500, batch loss=0.051636, epoch loss=2.268415 Batch=1139, step=15540, lr=0.135500, batch loss=0.104923, epoch loss=2.373338 Batch=1199, step=15600, lr=0.135250, batch loss=0.064226, epoch loss=2.437564 Epoch=12, step=15600, lr=0.135250, epoch loss=2.437564 Batch=59, step=15660, lr=0.135000, batch loss=0.077569, epoch loss=0.077569 Batch=119, step=15720, lr=0.134750, batch loss=0.101497, epoch loss=0.179066 Batch=179, step=15780, lr=0.134250, batch loss=0.089784, epoch loss=0.268850 Batch=239, step=15840, lr=0.134250, batch loss=0.094491, epoch loss=0.363341 Batch=299, step=15900, lr=0.133750, batch loss=0.043844, epoch loss=0.407185 Batch=359, step=15960, lr=0.133500, batch loss=0.079235, epoch loss=0.486420 Batch=419, step=16020, lr=0.133250, batch loss=0.083933, epoch loss=0.570353 Batch=479, step=16080, lr=0.133250, batch loss=0.069822, epoch loss=0.640175 Batch=539, step=16140, lr=0.133000, batch loss=0.052456, epoch loss=0.692631 Batch=599, step=16200, lr=0.132500, batch loss=0.099580, epoch loss=0.792211 Batch=659, step=16260, lr=0.132250, batch loss=0.078956, epoch loss=0.871168 Batch=719, step=16320, lr=0.132000, batch loss=0.072913, epoch loss=0.944080 Batch=779, step=16380, lr=0.132000, batch loss=0.076726, epoch loss=1.020806 Batch=839, step=16440, lr=0.131750, batch loss=0.117866, epoch loss=1.138673 Batch=899, step=16500, lr=0.131500, batch loss=0.147183, epoch loss=1.285856 Batch=959, step=16560, lr=0.131250, batch loss=0.063938, epoch loss=1.349794 Batch=1019, step=16620, lr=0.131000, batch loss=0.141229, epoch loss=1.491023 Batch=1079, step=16680, lr=0.130750, batch loss=0.022979, epoch loss=1.514002 Batch=1139, step=16740, lr=0.130250, batch loss=0.052039, epoch loss=1.566041 Batch=1199, step=16800, lr=0.130250, batch loss=0.029960, epoch loss=1.596001 Epoch=13, step=16800, lr=0.130250, epoch loss=1.596001 Batch=59, step=16860, lr=0.130000, batch loss=0.038652, epoch loss=0.038652 Batch=119, step=16920, lr=0.129750, batch loss=0.056204, epoch loss=0.094856 Batch=179, step=16980, lr=0.129500, batch loss=0.051510, epoch loss=0.146367 Batch=239, step=17040, lr=0.129250, batch loss=0.068342, epoch loss=0.214708 Batch=299, step=17100, lr=0.129000, batch loss=0.032914, epoch loss=0.247623 Batch=359, step=17160, lr=0.128750, batch loss=0.054773, epoch loss=0.302396 Batch=419, step=17220, lr=0.128500, batch loss=0.103655, epoch loss=0.406051 Batch=479, step=17280, lr=0.128000, batch loss=0.024938, epoch loss=0.430989 Batch=539, step=17340, lr=0.128000, batch loss=0.033530, epoch loss=0.464519 Batch=599, step=17400, lr=0.127750, batch loss=0.052607, epoch loss=0.517126 Batch=659, step=17460, lr=0.127500, batch loss=0.046713, epoch loss=0.563839 Batch=719, step=17520, lr=0.127250, batch loss=0.040789, epoch loss=0.604628 Batch=779, step=17580, lr=0.127000, batch loss=0.051614, epoch loss=0.656243 Batch=839, step=17640, lr=0.126500, batch loss=0.091361, epoch loss=0.747604 Batch=899, step=17700, lr=0.126500, batch loss=0.050622, epoch loss=0.798226 Batch=959, step=17760, lr=0.126250, batch loss=0.016888, epoch loss=0.815114 Batch=1019, step=17820, lr=0.126000, batch loss=0.031297, epoch loss=0.846411 Batch=1079, step=17880, lr=0.125750, batch loss=0.025415, epoch loss=0.871826 Batch=1139, step=17940, lr=0.125500, batch loss=0.067025, epoch loss=0.938851 Batch=1199, step=18000, lr=0.125000, batch loss=0.019170, epoch loss=0.958022 Epoch=14, step=18000, lr=0.125000, epoch loss=0.958022 Batch=59, step=18060, lr=0.125000, batch loss=0.019464, epoch loss=0.019464 Batch=119, step=18120, lr=0.124750, batch loss=0.022050, epoch loss=0.041514 Batch=179, step=18180, lr=0.124500, batch loss=0.029481, epoch loss=0.070995 Batch=239, step=18240, lr=0.124250, batch loss=0.038267, epoch loss=0.109262 Batch=299, step=18300, lr=0.124000, batch loss=0.016523, epoch loss=0.125786 Batch=359, step=18360, lr=0.123750, batch loss=0.024262, epoch loss=0.150048 Batch=419, step=18420, lr=0.123500, batch loss=0.031785, epoch loss=0.181833 Batch=479, step=18480, lr=0.123250, batch loss=0.021290, epoch loss=0.203123 Batch=539, step=18540, lr=0.122750, batch loss=0.042922, epoch loss=0.246046 Batch=599, step=18600, lr=0.122750, batch loss=0.026336, epoch loss=0.272382 Batch=659, step=18660, lr=0.122500, batch loss=0.035783, epoch loss=0.308165 Batch=719, step=18720, lr=0.122250, batch loss=0.033932, epoch loss=0.342097 Batch=779, step=18780, lr=0.122000, batch loss=0.081553, epoch loss=0.423650 Batch=839, step=18840, lr=0.121500, batch loss=0.053097, epoch loss=0.476747 Batch=899, step=18900, lr=0.121500, batch loss=0.049749, epoch loss=0.526496 Batch=959, step=18960, lr=0.121250, batch loss=0.013407, epoch loss=0.539902 Batch=1019, step=19020, lr=0.121000, batch loss=0.025541, epoch loss=0.565443 Batch=1079, step=19080, lr=0.120750, batch loss=0.010806, epoch loss=0.576249 Batch=1139, step=19140, lr=0.120500, batch loss=0.023939, epoch loss=0.600188 Batch=1199, step=19200, lr=0.120000, batch loss=0.009576, epoch loss=0.609764 Epoch=15, step=19200, lr=0.120000, epoch loss=0.609764 Batch=59, step=19260, lr=0.119750, batch loss=0.005234, epoch loss=0.005234 Batch=119, step=19320, lr=0.119750, batch loss=0.020589, epoch loss=0.025823 Batch=179, step=19380, lr=0.119500, batch loss=0.048518, epoch loss=0.074341 Batch=239, step=19440, lr=0.119250, batch loss=0.021619, epoch loss=0.095960 Batch=299, step=19500, lr=0.118750, batch loss=0.011510, epoch loss=0.107470 Batch=359, step=19560, lr=0.118750, batch loss=0.024033, epoch loss=0.131502 Batch=419, step=19620, lr=0.118250, batch loss=0.019458, epoch loss=0.150960 Batch=479, step=19680, lr=0.118250, batch loss=0.007279, epoch loss=0.158239 Batch=539, step=19740, lr=0.117750, batch loss=0.016839, epoch loss=0.175078 Batch=599, step=19800, lr=0.117750, batch loss=0.023041, epoch loss=0.198120 Batch=659, step=19860, lr=0.117500, batch loss=0.018186, epoch loss=0.216306 Batch=719, step=19920, lr=0.117250, batch loss=0.056499, epoch loss=0.272805 Batch=779, step=19980, lr=0.117000, batch loss=0.075694, epoch loss=0.348499 Batch=839, step=20040, lr=0.116750, batch loss=0.033179, epoch loss=0.381678 Batch=899, step=20100, lr=0.116250, batch loss=0.033228, epoch loss=0.414906 Batch=959, step=20160, lr=0.116250, batch loss=0.017693, epoch loss=0.432598 Batch=1019, step=20220, lr=0.115750, batch loss=0.025025, epoch loss=0.457623 Batch=1079, step=20280, lr=0.115500, batch loss=0.003339, epoch loss=0.460962 Batch=1139, step=20340, lr=0.115250, batch loss=0.015433, epoch loss=0.476395 Batch=1199, step=20400, lr=0.115250, batch loss=0.006137, epoch loss=0.482532 Epoch=16, step=20400, lr=0.115250, epoch loss=0.482532 Batch=59, step=20460, lr=0.115000, batch loss=0.002877, epoch loss=0.002877 Batch=119, step=20520, lr=0.114750, batch loss=0.011374, epoch loss=0.014251 Batch=179, step=20580, lr=0.114250, batch loss=0.026025, epoch loss=0.040276 Batch=239, step=20640, lr=0.114250, batch loss=0.015282, epoch loss=0.055557 Batch=299, step=20700, lr=0.114000, batch loss=0.004137, epoch loss=0.059694 Batch=359, step=20760, lr=0.113750, batch loss=0.013429, epoch loss=0.073124 Batch=419, step=20820, lr=0.113250, batch loss=0.015163, epoch loss=0.088287 Batch=479, step=20880, lr=0.113250, batch loss=0.005303, epoch loss=0.093590 Batch=539, step=20940, lr=0.113000, batch loss=0.016331, epoch loss=0.109920 Batch=599, step=21000, lr=0.112750, batch loss=0.018501, epoch loss=0.128421 Batch=659, step=21060, lr=0.112500, batch loss=0.013724, epoch loss=0.142145 Batch=719, step=21120, lr=0.112250, batch loss=0.033716, epoch loss=0.175861 Batch=779, step=21180, lr=0.111750, batch loss=0.063793, epoch loss=0.239654 Batch=839, step=21240, lr=0.111500, batch loss=0.024645, epoch loss=0.264300 Batch=899, step=21300, lr=0.111250, batch loss=0.029711, epoch loss=0.294010 Batch=959, step=21360, lr=0.111250, batch loss=0.010829, epoch loss=0.304840 Batch=1019, step=21420, lr=0.111000, batch loss=0.012804, epoch loss=0.317644 Batch=1079, step=21480, lr=0.110750, batch loss=0.001082, epoch loss=0.318726 Batch=1139, step=21540, lr=0.110500, batch loss=0.012471, epoch loss=0.331197 Batch=1199, step=21600, lr=0.110000, batch loss=0.004555, epoch loss=0.335752 Epoch=17, step=21600, lr=0.110000, epoch loss=0.335752 Batch=59, step=21660, lr=0.110000, batch loss=0.001475, epoch loss=0.001475 Batch=119, step=21720, lr=0.109750, batch loss=0.008088, epoch loss=0.009562 Batch=179, step=21780, lr=0.109500, batch loss=0.015239, epoch loss=0.024801 Batch=239, step=21840, lr=0.109250, batch loss=0.014720, epoch loss=0.039521 Batch=299, step=21900, lr=0.109000, batch loss=0.001975, epoch loss=0.041496 Batch=359, step=21960, lr=0.108750, batch loss=0.011364, epoch loss=0.052860 Batch=419, step=22020, lr=0.108500, batch loss=0.011759, epoch loss=0.064619 Batch=479, step=22080, lr=0.108250, batch loss=0.003189, epoch loss=0.067808 Batch=539, step=22140, lr=0.108000, batch loss=0.015630, epoch loss=0.083438 Batch=599, step=22200, lr=0.107750, batch loss=0.015139, epoch loss=0.098577 Batch=659, step=22260, lr=0.107250, batch loss=0.013147, epoch loss=0.111724 Batch=719, step=22320, lr=0.107000, batch loss=0.025325, epoch loss=0.137049 Batch=779, step=22380, lr=0.107000, batch loss=0.037622, epoch loss=0.174670 Batch=839, step=22440, lr=0.106500, batch loss=0.021076, epoch loss=0.195746 Batch=899, step=22500, lr=0.106500, batch loss=0.023007, epoch loss=0.218753 Batch=959, step=22560, lr=0.106250, batch loss=0.009115, epoch loss=0.227868 Batch=1019, step=22620, lr=0.106000, batch loss=0.008293, epoch loss=0.236161 Batch=1079, step=22680, lr=0.105750, batch loss=0.000355, epoch loss=0.236516 Batch=1139, step=22740, lr=0.105500, batch loss=0.010186, epoch loss=0.246701 Batch=1199, step=22800, lr=0.105250, batch loss=0.004185, epoch loss=0.250886 Epoch=18, step=22800, lr=0.105250, epoch loss=0.250886 Batch=59, step=22860, lr=0.104750, batch loss=0.001272, epoch loss=0.001272 Batch=119, step=22920, lr=0.104750, batch loss=0.005297, epoch loss=0.006569 Batch=179, step=22980, lr=0.104500, batch loss=0.010979, epoch loss=0.017548 Batch=239, step=23040, lr=0.104250, batch loss=0.009343, epoch loss=0.026891 Batch=299, step=23100, lr=0.104000, batch loss=0.008984, epoch loss=0.035875 Batch=359, step=23160, lr=0.103500, batch loss=0.011091, epoch loss=0.046966 Batch=419, step=23220, lr=0.103500, batch loss=0.010193, epoch loss=0.057159 Batch=479, step=23280, lr=0.103000, batch loss=0.002384, epoch loss=0.059543 Batch=539, step=23340, lr=0.103000, batch loss=0.017263, epoch loss=0.076806 Batch=599, step=23400, lr=0.102750, batch loss=0.013262, epoch loss=0.090067 Batch=659, step=23460, lr=0.102500, batch loss=0.009860, epoch loss=0.099928 Batch=719, step=23520, lr=0.102250, batch loss=0.017759, epoch loss=0.117687 Batch=779, step=23580, lr=0.102000, batch loss=0.020874, epoch loss=0.138561 Batch=839, step=23640, lr=0.101750, batch loss=0.026678, epoch loss=0.165238 Batch=899, step=23700, lr=0.101250, batch loss=0.021698, epoch loss=0.186936 Batch=959, step=23760, lr=0.101000, batch loss=0.007989, epoch loss=0.194925 Batch=1019, step=23820, lr=0.100750, batch loss=0.006461, epoch loss=0.201386 Batch=1079, step=23880, lr=0.100750, batch loss=0.001342, epoch loss=0.202728 Batch=1139, step=23940, lr=0.100500, batch loss=0.009022, epoch loss=0.211750 Batch=1199, step=24000, lr=0.100250, batch loss=0.004216, epoch loss=0.215967 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215967 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 2025-05-18 21:08.28: Job failed: Failed: Build failed