2025-05-20 19:21.42: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (330b95092469114814c49ce51971f33e31a97e23) (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 330b9509 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 2025-05-20 19:21.42: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-20 19:21.42: 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")) ) 2025-05-20 19:21.42: Waiting for resource in pool OCluster 2025-05-20 19:21.42: Waiting for worker… 2025-05-20 19:28.50: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 330b9509 Logging: fixes on the Linux side cuda logging on Windows still broken because of stdout capture issue. (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-20 19:30.59 ---> saved as "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 openh264 (From Cisco) - x86_ 100% | 8.9 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 191.8 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 159.9 KiB/s | 24.3 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 7.1 MiB/s | 9.5 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-20 19:31.11 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-20 19:31.12 ---> 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 2025-05-20 19:32.10 ---> 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 2025-05-20 19:32.11 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 19:32.12 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..f8fd9069a4 master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-20 19:33.00 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 19:33.00 ---> 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) 2025-05-20 19:33.03 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 19:33.03 ---> 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% | 423.0 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% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 29.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 390.9 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-20 19:33.26 ---> saved as "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved 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 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.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved 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 fmt.0.10.0 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.18.2 -> 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 ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.2 -> installed printbox-ext-plot.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> 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_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-20 19:36.36 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-20 19:36.37 ---> saved as "d8e278163171622792ef10ffa6617b5b95b5c7e776ee72fd3fbb63d107a39bb0" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.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/8b036abe8908ede1088ea0d1988dbc0a/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0364a0b249614ec29787c751b6a040b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8b036abe8908ede1088ea0d1988dbc0a/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/8b036abe8908ede1088ea0d1988dbc0a/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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752 Batch=419, step=420, lr=0.198250, batch loss=0.621517, epoch loss=39.020269 Batch=479, step=480, lr=0.198250, batch loss=0.818033, epoch loss=39.838301 Batch=539, step=540, lr=0.198000, batch loss=0.698964, epoch loss=40.537265 Batch=599, step=600, lr=0.197750, batch loss=1.073923, epoch loss=41.611188 Batch=659, step=660, lr=0.197250, batch loss=0.482905, epoch loss=42.094093 Batch=719, step=720, lr=0.197000, batch loss=0.411580, epoch loss=42.505673 Batch=779, step=780, lr=0.197000, batch loss=0.469972, epoch loss=42.975645 Batch=839, step=840, lr=0.196500, batch loss=0.444518, epoch loss=43.420164 Batch=899, step=900, lr=0.196250, batch loss=0.383370, epoch loss=43.803534 Batch=959, step=960, lr=0.196000, batch loss=0.241386, epoch loss=44.044920 Batch=1019, step=1020, lr=0.196000, batch loss=0.452317, epoch loss=44.497237 Batch=1079, step=1080, lr=0.195500, batch loss=0.251805, epoch loss=44.749042 Batch=1139, step=1140, lr=0.195250, batch loss=0.331299, epoch loss=45.080341 Batch=1199, step=1200, lr=0.195000, batch loss=0.263941, epoch loss=45.344282 Epoch=0, step=1200, lr=0.195000, epoch loss=45.344282 Batch=59, step=1260, lr=0.195000, batch loss=0.262853, epoch loss=0.262853 Batch=119, step=1320, lr=0.194750, batch loss=0.204820, epoch loss=0.467673 Batch=179, step=1380, lr=0.194250, batch loss=0.243768, epoch loss=0.711442 Batch=239, step=1440, lr=0.194000, batch loss=0.346836, epoch loss=1.058278 Batch=299, step=1500, lr=0.193750, batch loss=0.239291, epoch loss=1.297569 Batch=359, step=1560, lr=0.193750, batch loss=0.310938, epoch loss=1.608507 Batch=419, step=1620, lr=0.193500, batch loss=0.310177, epoch loss=1.918684 Batch=479, step=1680, lr=0.193250, batch loss=0.274808, epoch loss=2.193492 Batch=539, step=1740, lr=0.192750, batch loss=0.212384, epoch loss=2.405876 Batch=599, step=1800, lr=0.192750, batch loss=0.259737, epoch loss=2.665613 Batch=659, step=1860, lr=0.192500, batch loss=0.377859, epoch loss=3.043472 Batch=719, step=1920, lr=0.192250, batch loss=0.356154, epoch loss=3.399626 Batch=779, step=1980, lr=0.192000, batch loss=0.382000, epoch loss=3.781626 Batch=839, step=2040, lr=0.191750, batch loss=0.340455, epoch loss=4.122080 Batch=899, step=2100, lr=0.191500, batch loss=0.294596, epoch loss=4.416676 Batch=959, step=2160, lr=0.191250, batch loss=0.215143, epoch loss=4.631820 Batch=1019, step=2220, lr=0.191000, batch loss=0.327738, epoch loss=4.959558 Batch=1079, step=2280, lr=0.190500, batch loss=0.197811, epoch loss=5.157369 Batch=1139, step=2340, lr=0.190250, batch loss=0.267796, epoch loss=5.425165 Batch=1199, step=2400, lr=0.190250, batch loss=0.214634, epoch loss=5.639799 Epoch=1, step=2400, lr=0.190250, epoch loss=5.639799 Batch=59, step=2460, lr=0.190000, batch loss=0.226524, epoch loss=0.226524 Batch=119, step=2520, lr=0.189750, batch loss=0.185744, epoch loss=0.412268 Batch=179, step=2580, lr=0.189500, batch loss=0.217601, epoch loss=0.629868 Batch=239, step=2640, lr=0.189250, batch loss=0.326891, epoch loss=0.956759 Batch=299, step=2700, lr=0.189000, batch loss=0.219255, epoch loss=1.176015 Batch=359, step=2760, lr=0.188750, batch loss=0.296227, epoch loss=1.472242 Batch=419, step=2820, lr=0.188250, batch loss=0.282801, epoch loss=1.755043 Batch=479, step=2880, lr=0.188000, batch loss=0.263252, epoch loss=2.018295 Batch=539, step=2940, lr=0.188000, batch loss=0.207115, epoch loss=2.225410 Batch=599, step=3000, lr=0.187500, batch loss=0.258871, epoch loss=2.484281 Batch=659, step=3060, lr=0.187250, batch loss=0.359717, epoch loss=2.843997 Batch=719, step=3120, lr=0.187000, batch loss=0.360138, epoch loss=3.204135 Batch=779, step=3180, lr=0.186750, batch loss=0.358902, epoch loss=3.563037 Batch=839, step=3240, lr=0.186500, batch loss=0.329341, epoch loss=3.892378 Batch=899, step=3300, lr=0.186250, batch loss=0.296029, epoch loss=4.188407 Batch=959, step=3360, lr=0.186250, batch loss=0.241627, epoch loss=4.430033 Batch=1019, step=3420, lr=0.185750, batch loss=0.364680, epoch loss=4.794713 Batch=1079, step=3480, lr=0.185750, batch loss=0.224570, epoch loss=5.019283 Batch=1139, step=3540, lr=0.185500, batch loss=0.261448, epoch loss=5.280732 Batch=1199, step=3600, lr=0.185250, batch loss=0.199831, epoch loss=5.480563 Epoch=2, step=3600, lr=0.185250, epoch loss=5.480563 Batch=59, step=3660, lr=0.185000, batch loss=0.222578, epoch loss=0.222578 Batch=119, step=3720, lr=0.184750, batch loss=0.185078, epoch loss=0.407656 Batch=179, step=3780, lr=0.184500, batch loss=0.212723, epoch loss=0.620379 Batch=239, step=3840, lr=0.184250, batch loss=0.317065, epoch loss=0.937444 Batch=299, step=3900, lr=0.184000, batch loss=0.204044, epoch loss=1.141488 Batch=359, step=3960, lr=0.183750, batch loss=0.288313, epoch loss=1.429801 Batch=419, step=4020, lr=0.183500, batch loss=0.273991, epoch loss=1.703792 Batch=479, step=4080, lr=0.183250, batch loss=0.253455, epoch loss=1.957247 Batch=539, step=4140, lr=0.183000, batch loss=0.194310, epoch loss=2.151557 Batch=599, step=4200, lr=0.182750, batch loss=0.232360, epoch loss=2.383917 Batch=659, step=4260, lr=0.182500, batch loss=0.335151, epoch loss=2.719069 Batch=719, step=4320, lr=0.182250, batch loss=0.343879, epoch loss=3.062947 Batch=779, step=4380, lr=0.181750, batch loss=0.350811, epoch loss=3.413758 Batch=839, step=4440, lr=0.181750, batch loss=0.317404, epoch loss=3.731162 Batch=899, step=4500, lr=0.181500, batch loss=0.285939, epoch loss=4.017101 Batch=959, step=4560, lr=0.181250, batch loss=0.237897, epoch loss=4.254998 Batch=1019, step=4620, lr=0.181000, batch loss=0.330869, epoch loss=4.585866 Batch=1079, step=4680, lr=0.180750, batch loss=0.194049, epoch loss=4.779915 Batch=1139, step=4740, lr=0.180500, batch loss=0.234184, epoch loss=5.014099 Batch=1199, step=4800, lr=0.180250, batch loss=0.191710, epoch loss=5.205809 Epoch=3, step=4800, lr=0.180250, epoch loss=5.205809 Batch=59, step=4860, lr=0.180000, batch loss=0.227562, epoch loss=0.227562 Batch=119, step=4920, lr=0.179750, batch loss=0.190186, epoch loss=0.417748 Batch=179, step=4980, lr=0.179500, batch loss=0.206589, epoch loss=0.624337 Batch=239, step=5040, lr=0.179250, batch loss=0.307301, epoch loss=0.931638 Batch=299, step=5100, lr=0.179000, batch loss=0.202203, epoch loss=1.133841 Batch=359, step=5160, lr=0.178750, batch loss=0.273025, epoch loss=1.406866 Batch=419, step=5220, lr=0.178500, batch loss=0.264978, epoch loss=1.671844 Batch=479, step=5280, lr=0.178000, batch loss=0.240475, epoch loss=1.912320 Batch=539, step=5340, lr=0.178000, batch loss=0.190488, epoch loss=2.102807 Batch=599, step=5400, lr=0.177750, batch loss=0.230729, epoch loss=2.333536 Batch=659, step=5460, lr=0.177500, batch loss=0.324853, epoch loss=2.658390 Batch=719, step=5520, lr=0.177250, batch loss=0.325734, epoch loss=2.984124 Batch=779, step=5580, lr=0.177000, batch loss=0.344257, epoch loss=3.328381 Batch=839, step=5640, lr=0.176750, batch loss=0.309427, epoch loss=3.637808 Batch=899, step=5700, lr=0.176500, batch loss=0.274032, epoch loss=3.911840 Batch=959, step=5760, lr=0.176250, batch loss=0.213045, epoch loss=4.124885 Batch=1019, step=5820, lr=0.176000, batch loss=0.337860, epoch loss=4.462745 Batch=1079, step=5880, lr=0.175750, batch loss=0.187148, epoch loss=4.649894 Batch=1139, step=5940, lr=0.175500, batch loss=0.221719, epoch loss=4.871613 Batch=1199, step=6000, lr=0.175250, batch loss=0.187780, epoch loss=5.059392 Epoch=4, step=6000, lr=0.175250, epoch loss=5.059392 Batch=59, step=6060, lr=0.175000, batch loss=0.230662, epoch loss=0.230662 Batch=119, step=6120, lr=0.174750, batch loss=0.194235, epoch loss=0.424897 Batch=179, step=6180, lr=0.174500, batch loss=0.201630, epoch loss=0.626527 Batch=239, step=6240, lr=0.174250, batch loss=0.302062, epoch loss=0.928589 Batch=299, step=6300, lr=0.174000, batch loss=0.203579, epoch loss=1.132168 Batch=359, step=6360, lr=0.173750, batch loss=0.266420, epoch loss=1.398588 Batch=419, step=6420, lr=0.173500, batch loss=0.265655, epoch loss=1.664243 Batch=479, step=6480, lr=0.173250, batch loss=0.243496, epoch loss=1.907739 Batch=539, step=6540, lr=0.173000, batch loss=0.193136, epoch loss=2.100875 Batch=599, step=6600, lr=0.172750, batch loss=0.228970, epoch loss=2.329845 Batch=659, step=6660, lr=0.172500, batch loss=0.314928, epoch loss=2.644774 Batch=719, step=6720, lr=0.172250, batch loss=0.317363, epoch loss=2.962137 Batch=779, step=6780, lr=0.172000, batch loss=0.330272, epoch loss=3.292408 Batch=839, step=6840, lr=0.171750, batch loss=0.306630, epoch loss=3.599038 Batch=899, step=6900, lr=0.171500, batch loss=0.270259, epoch loss=3.869297 Batch=959, step=6960, lr=0.171250, batch loss=0.206883, epoch loss=4.076179 Batch=1019, step=7020, lr=0.171000, batch loss=0.328328, epoch loss=4.404507 Batch=1079, step=7080, lr=0.170750, batch loss=0.173944, epoch loss=4.578452 Batch=1139, step=7140, lr=0.170500, batch loss=0.212842, epoch loss=4.791293 Batch=1199, step=7200, lr=0.170250, batch loss=0.191010, epoch loss=4.982304 Epoch=5, step=7200, lr=0.170250, epoch loss=4.982304 Batch=59, step=7260, lr=0.170000, batch loss=0.225482, epoch loss=0.225482 Batch=119, step=7320, lr=0.169750, batch loss=0.189416, epoch loss=0.414898 Batch=179, step=7380, lr=0.169500, batch loss=0.194737, epoch loss=0.609635 Batch=239, step=7440, lr=0.169250, batch loss=0.291342, epoch loss=0.900976 Batch=299, step=7500, lr=0.169000, batch loss=0.207468, epoch loss=1.108444 Batch=359, step=7560, lr=0.168750, batch loss=0.261565, epoch loss=1.370009 Batch=419, step=7620, lr=0.168500, batch loss=0.254395, epoch loss=1.624404 Batch=479, step=7680, lr=0.168250, batch loss=0.239795, epoch loss=1.864199 Batch=539, step=7740, lr=0.168000, batch loss=0.185202, epoch loss=2.049401 Batch=599, step=7800, lr=0.167750, batch loss=0.225776, epoch loss=2.275176 Batch=659, step=7860, lr=0.167500, batch loss=0.304820, epoch loss=2.579997 Batch=719, step=7920, lr=0.167250, batch loss=0.309965, epoch loss=2.889961 Batch=779, step=7980, lr=0.167000, batch loss=0.329367, epoch loss=3.219329 Batch=839, step=8040, lr=0.166750, batch loss=0.292815, epoch loss=3.512143 Batch=899, step=8100, lr=0.166500, batch loss=0.263332, epoch loss=3.775475 Batch=959, step=8160, lr=0.166250, batch loss=0.197070, epoch loss=3.972545 Batch=1019, step=8220, lr=0.166000, batch loss=0.322227, epoch loss=4.294773 Batch=1079, step=8280, lr=0.165500, batch loss=0.189490, epoch loss=4.484263 Batch=1139, step=8340, lr=0.165500, batch loss=0.219260, epoch loss=4.703523 Batch=1199, step=8400, lr=0.165250, batch loss=0.174159, epoch loss=4.877682 Epoch=6, step=8400, lr=0.165250, epoch loss=4.877682 Batch=59, step=8460, lr=0.165000, batch loss=0.211134, epoch loss=0.211134 Batch=119, step=8520, lr=0.164750, batch loss=0.172652, epoch loss=0.383786 Batch=179, step=8580, lr=0.164250, batch loss=0.188465, epoch loss=0.572251 Batch=239, step=8640, lr=0.164250, batch loss=0.280661, epoch loss=0.852913 Batch=299, step=8700, lr=0.163750, batch loss=0.188648, epoch loss=1.041561 Batch=359, step=8760, lr=0.163750, batch loss=0.245414, epoch loss=1.286975 Batch=419, step=8820, lr=0.163500, batch loss=0.238861, epoch loss=1.525836 Batch=479, step=8880, lr=0.163000, batch loss=0.214802, epoch loss=1.740639 Batch=539, step=8940, lr=0.163000, batch loss=0.177715, epoch loss=1.918354 Batch=599, step=9000, lr=0.162750, batch loss=0.219623, epoch loss=2.137977 Batch=659, step=9060, lr=0.162500, batch loss=0.293399, epoch loss=2.431376 Batch=719, step=9120, lr=0.162000, batch loss=0.298203, epoch loss=2.729579 Batch=779, step=9180, lr=0.161750, batch loss=0.314692, epoch loss=3.044271 Batch=839, step=9240, lr=0.161750, batch loss=0.282416, epoch loss=3.326687 Batch=899, step=9300, lr=0.161500, batch loss=0.252644, epoch loss=3.579332 Batch=959, step=9360, lr=0.161250, batch loss=0.187645, epoch loss=3.766976 Batch=1019, step=9420, lr=0.160750, batch loss=0.320768, epoch loss=4.087744 Batch=1079, step=9480, lr=0.160500, batch loss=0.196171, epoch loss=4.283916 Batch=1139, step=9540, lr=0.160500, batch loss=0.213299, epoch loss=4.497214 Batch=1199, step=9600, lr=0.160000, batch loss=0.168631, epoch loss=4.665846 Epoch=7, step=9600, lr=0.160000, epoch loss=4.665846 Batch=59, step=9660, lr=0.160000, batch loss=0.198798, epoch loss=0.198798 Batch=119, step=9720, lr=0.159750, batch loss=0.166743, epoch loss=0.365541 Batch=179, step=9780, lr=0.159500, batch loss=0.179211, epoch loss=0.544752 Batch=239, step=9840, lr=0.159000, batch loss=0.263276, epoch loss=0.808029 Batch=299, step=9900, lr=0.159000, batch loss=0.182283, epoch loss=0.990312 Batch=359, step=9960, lr=0.158500, batch loss=0.244436, epoch loss=1.234748 Batch=419, step=10020, lr=0.158250, batch loss=0.232225, epoch loss=1.466973 Batch=479, step=10080, lr=0.158000, batch loss=0.215381, epoch loss=1.682354 Batch=539, step=10140, lr=0.158000, batch loss=0.169676, epoch loss=1.852030 Batch=599, step=10200, lr=0.157500, batch loss=0.203604, epoch loss=2.055634 Batch=659, step=10260, lr=0.157500, batch loss=0.281288, epoch loss=2.336922 Batch=719, step=10320, lr=0.157250, batch loss=0.281265, epoch loss=2.618187 Batch=779, step=10380, lr=0.157000, batch loss=0.298460, epoch loss=2.916647 Batch=839, step=10440, lr=0.156750, batch loss=0.273462, epoch loss=3.190109 Batch=899, step=10500, lr=0.156250, batch loss=0.238125, epoch loss=3.428234 Batch=959, step=10560, lr=0.156250, batch loss=0.202230, epoch loss=3.630464 Batch=1019, step=10620, lr=0.156000, batch loss=0.279449, epoch loss=3.909913 Batch=1079, step=10680, lr=0.155750, batch loss=0.152303, epoch loss=4.062216 Batch=1139, step=10740, lr=0.155500, batch loss=0.183619, epoch loss=4.245835 Batch=1199, step=10800, lr=0.155250, batch loss=0.154634, epoch loss=4.400469 Epoch=8, step=10800, lr=0.155250, epoch loss=4.400469 Batch=59, step=10860, lr=0.155000, batch loss=0.183159, epoch loss=0.183159 Batch=119, step=10920, lr=0.154750, batch loss=0.154400, epoch loss=0.337558 Batch=179, step=10980, lr=0.154500, batch loss=0.166109, epoch loss=0.503668 Batch=239, step=11040, lr=0.154250, batch loss=0.242610, epoch loss=0.746278 Batch=299, step=11100, lr=0.154000, batch loss=0.170731, epoch loss=0.917009 Batch=359, step=11160, lr=0.153750, batch loss=0.224068, epoch loss=1.141077 Batch=419, step=11220, lr=0.153500, batch loss=0.225531, epoch loss=1.366608 Batch=479, step=11280, lr=0.153250, batch loss=0.207999, epoch loss=1.574607 Batch=539, step=11340, lr=0.153000, batch loss=0.163868, epoch loss=1.738475 Batch=599, step=11400, lr=0.152750, batch loss=0.182659, epoch loss=1.921135 Batch=659, step=11460, lr=0.152500, batch loss=0.264362, epoch loss=2.185497 Batch=719, step=11520, lr=0.152250, batch loss=0.256371, epoch loss=2.441868 Batch=779, step=11580, lr=0.152000, batch loss=0.273506, epoch loss=2.715374 Batch=839, step=11640, lr=0.151750, batch loss=0.256344, epoch loss=2.971717 Batch=899, step=11700, lr=0.151500, batch loss=0.219382, epoch loss=3.191099 Batch=959, step=11760, lr=0.151250, batch loss=0.184501, epoch loss=3.375600 Batch=1019, step=11820, lr=0.151000, batch loss=0.280744, epoch loss=3.656344 Batch=1079, step=11880, lr=0.150750, batch loss=0.160535, epoch loss=3.816879 Batch=1139, step=11940, lr=0.150500, batch loss=0.190510, epoch loss=4.007389 Batch=1199, step=12000, lr=0.150250, batch loss=0.140673, epoch loss=4.148062 Epoch=9, step=12000, lr=0.150250, epoch loss=4.148062 Batch=59, step=12060, lr=0.150000, batch loss=0.159347, epoch loss=0.159347 Batch=119, step=12120, lr=0.149750, batch loss=0.128723, epoch loss=0.288069 Batch=179, step=12180, lr=0.149500, batch loss=0.152944, epoch loss=0.441014 Batch=239, step=12240, lr=0.149250, batch loss=0.223734, epoch loss=0.664748 Batch=299, step=12300, lr=0.149000, batch loss=0.144808, epoch loss=0.809556 Batch=359, step=12360, lr=0.148750, batch loss=0.196262, epoch loss=1.005819 Batch=419, step=12420, lr=0.148500, batch loss=0.208709, epoch loss=1.214528 Batch=479, step=12480, lr=0.148250, batch loss=0.179666, epoch loss=1.394193 Batch=539, step=12540, lr=0.148000, batch loss=0.144432, epoch loss=1.538626 Batch=599, step=12600, lr=0.147750, batch loss=0.155982, epoch loss=1.694608 Batch=659, step=12660, lr=0.147500, batch loss=0.235750, epoch loss=1.930358 Batch=719, step=12720, lr=0.147000, batch loss=0.225622, epoch loss=2.155980 Batch=779, step=12780, lr=0.147000, batch loss=0.239697, epoch loss=2.395678 Batch=839, step=12840, lr=0.146750, batch loss=0.230415, epoch loss=2.626093 Batch=899, step=12900, lr=0.146500, batch loss=0.203463, epoch loss=2.829556 Batch=959, step=12960, lr=0.146250, batch loss=0.150782, epoch loss=2.980338 Batch=1019, step=13020, lr=0.145750, batch loss=0.254894, epoch loss=3.235232 Batch=1079, step=13080, lr=0.145500, batch loss=0.123908, epoch loss=3.359140 Batch=1139, step=13140, lr=0.145500, batch loss=0.165093, epoch loss=3.524233 Batch=1199, step=13200, lr=0.145250, batch loss=0.119268, epoch loss=3.643502 Epoch=10, step=13200, lr=0.145250, epoch loss=3.643502 Batch=59, step=13260, lr=0.145000, batch loss=0.136792, epoch loss=0.136792 Batch=119, step=13320, lr=0.144750, batch loss=0.113352, epoch loss=0.250145 Batch=179, step=13380, lr=0.144500, batch loss=0.129850, epoch loss=0.379995 Batch=239, step=13440, lr=0.144000, batch loss=0.190555, epoch loss=0.570550 Batch=299, step=13500, lr=0.144000, batch loss=0.114078, epoch loss=0.684628 Batch=359, step=13560, lr=0.143750, batch loss=0.164134, epoch loss=0.848762 Batch=419, step=13620, lr=0.143250, batch loss=0.163540, epoch loss=1.012302 Batch=479, step=13680, lr=0.143000, batch loss=0.148222, epoch loss=1.160524 Batch=539, step=13740, lr=0.143000, batch loss=0.120297, epoch loss=1.280821 Batch=599, step=13800, lr=0.142750, batch loss=0.122030, epoch loss=1.402851 Batch=659, step=13860, lr=0.142500, batch loss=0.177730, epoch loss=1.580582 Batch=719, step=13920, lr=0.142250, batch loss=0.178824, epoch loss=1.759406 Batch=779, step=13980, lr=0.142000, batch loss=0.199764, epoch loss=1.959169 Batch=839, step=14040, lr=0.141500, batch loss=0.191017, epoch loss=2.150186 Batch=899, step=14100, lr=0.141250, batch loss=0.180586, epoch loss=2.330772 Batch=959, step=14160, lr=0.141000, batch loss=0.142529, epoch loss=2.473301 Batch=1019, step=14220, lr=0.141000, batch loss=0.292876, epoch loss=2.766177 Batch=1079, step=14280, lr=0.140750, batch loss=0.079525, epoch loss=2.845702 Batch=1139, step=14340, lr=0.140500, batch loss=0.124753, epoch loss=2.970455 Batch=1199, step=14400, lr=0.140250, batch loss=0.093279, epoch loss=3.063734 Epoch=11, step=14400, lr=0.140250, epoch loss=3.063734 Batch=59, step=14460, lr=0.140000, batch loss=0.111496, epoch loss=0.111496 Batch=119, step=14520, lr=0.139750, batch loss=0.105080, epoch loss=0.216576 Batch=179, step=14580, lr=0.139500, batch loss=0.105868, epoch loss=0.322444 Batch=239, step=14640, lr=0.139250, batch loss=0.144938, epoch loss=0.467382 Batch=299, step=14700, lr=0.139000, batch loss=0.081094, epoch loss=0.548476 Batch=359, step=14760, lr=0.138750, batch loss=0.121008, epoch loss=0.669484 Batch=419, step=14820, lr=0.138500, batch loss=0.125812, epoch loss=0.795296 Batch=479, step=14880, lr=0.138250, batch loss=0.108720, epoch loss=0.904016 Batch=539, step=14940, lr=0.138000, batch loss=0.103032, epoch loss=1.007048 Batch=599, step=15000, lr=0.137750, batch loss=0.086576, epoch loss=1.093624 Batch=659, step=15060, lr=0.137500, batch loss=0.130123, epoch loss=1.223747 Batch=719, step=15120, lr=0.137250, batch loss=0.133376, epoch loss=1.357122 Batch=779, step=15180, lr=0.137000, batch loss=0.166622, epoch loss=1.523744 Batch=839, step=15240, lr=0.136750, batch loss=0.165088, epoch loss=1.688832 Batch=899, step=15300, lr=0.136500, batch loss=0.251087, epoch loss=1.939919 Batch=959, step=15360, lr=0.136250, batch loss=0.062377, epoch loss=2.002296 Batch=1019, step=15420, lr=0.136000, batch loss=0.135090, epoch loss=2.137387 Batch=1079, step=15480, lr=0.135750, batch loss=0.047994, epoch loss=2.185380 Batch=1139, step=15540, lr=0.135500, batch loss=0.105108, epoch loss=2.290488 Batch=1199, step=15600, lr=0.135250, batch loss=0.062671, epoch loss=2.353159 Epoch=12, step=15600, lr=0.135250, epoch loss=2.353159 Batch=59, step=15660, lr=0.135000, batch loss=0.083132, epoch loss=0.083132 Batch=119, step=15720, lr=0.134750, batch loss=0.129117, epoch loss=0.212249 Batch=179, step=15780, lr=0.134500, batch loss=0.097357, epoch loss=0.309605 Batch=239, step=15840, lr=0.134250, batch loss=0.098474, epoch loss=0.408079 Batch=299, step=15900, lr=0.134000, batch loss=0.039865, epoch loss=0.447945 Batch=359, step=15960, lr=0.133750, batch loss=0.080038, epoch loss=0.527982 Batch=419, step=16020, lr=0.133500, batch loss=0.082781, epoch loss=0.610763 Batch=479, step=16080, lr=0.133250, batch loss=0.068643, epoch loss=0.679406 Batch=539, step=16140, lr=0.133000, batch loss=0.055922, epoch loss=0.735328 Batch=599, step=16200, lr=0.132750, batch loss=0.098964, epoch loss=0.834292 Batch=659, step=16260, lr=0.132500, batch loss=0.077794, epoch loss=0.912087 Batch=719, step=16320, lr=0.132250, batch loss=0.088266, epoch loss=1.000353 Batch=779, step=16380, lr=0.132000, batch loss=0.130569, epoch loss=1.130921 Batch=839, step=16440, lr=0.131750, batch loss=0.122147, epoch loss=1.253068 Batch=899, step=16500, lr=0.131500, batch loss=0.143028, epoch loss=1.396097 Batch=959, step=16560, lr=0.131250, batch loss=0.044415, epoch loss=1.440512 Batch=1019, step=16620, lr=0.131000, batch loss=0.103267, epoch loss=1.543779 Batch=1079, step=16680, lr=0.130750, batch loss=0.026059, epoch loss=1.569838 Batch=1139, step=16740, lr=0.130500, batch loss=0.056288, epoch loss=1.626125 Batch=1199, step=16800, lr=0.130250, batch loss=0.032099, epoch loss=1.658225 Epoch=13, step=16800, lr=0.130250, epoch loss=1.658225 Batch=59, step=16860, lr=0.130000, batch loss=0.037617, epoch loss=0.037617 Batch=119, step=16920, lr=0.129750, batch loss=0.045965, epoch loss=0.083582 Batch=179, step=16980, lr=0.129500, batch loss=0.045216, epoch loss=0.128798 Batch=239, step=17040, lr=0.129250, batch loss=0.081225, epoch loss=0.210023 Batch=299, step=17100, lr=0.129000, batch loss=0.105703, epoch loss=0.315726 Batch=359, step=17160, lr=0.128750, batch loss=0.053544, epoch loss=0.369270 Batch=419, step=17220, lr=0.128500, batch loss=0.051399, epoch loss=0.420669 Batch=479, step=17280, lr=0.128250, batch loss=0.028649, epoch loss=0.449318 Batch=539, step=17340, lr=0.128000, batch loss=0.032654, epoch loss=0.481972 Batch=599, step=17400, lr=0.127750, batch loss=0.035047, epoch loss=0.517020 Batch=659, step=17460, lr=0.127500, batch loss=0.046680, epoch loss=0.563700 Batch=719, step=17520, lr=0.127250, batch loss=0.038728, epoch loss=0.602428 Batch=779, step=17580, lr=0.127000, batch loss=0.040967, epoch loss=0.643394 Batch=839, step=17640, lr=0.126750, batch loss=0.055683, epoch loss=0.699078 Batch=899, step=17700, lr=0.126500, batch loss=0.053593, epoch loss=0.752671 Batch=959, step=17760, lr=0.126250, batch loss=0.045324, epoch loss=0.797995 Batch=1019, step=17820, lr=0.125750, batch loss=0.110558, epoch loss=0.908553 Batch=1079, step=17880, lr=0.125750, batch loss=0.022978, epoch loss=0.931531 Batch=1139, step=17940, lr=0.125500, batch loss=0.050375, epoch loss=0.981906 Batch=1199, step=18000, lr=0.125250, batch loss=0.021520, epoch loss=1.003426 Epoch=14, step=18000, lr=0.125250, epoch loss=1.003426 Batch=59, step=18060, lr=0.125000, batch loss=0.014068, epoch loss=0.014068 Batch=119, step=18120, lr=0.124750, batch loss=0.021237, epoch loss=0.035304 Batch=179, step=18180, lr=0.124500, batch loss=0.029372, epoch loss=0.064676 Batch=239, step=18240, lr=0.124250, batch loss=0.032969, epoch loss=0.097645 Batch=299, step=18300, lr=0.124000, batch loss=0.009691, epoch loss=0.107336 Batch=359, step=18360, lr=0.123750, batch loss=0.026854, epoch loss=0.134190 Batch=419, step=18420, lr=0.123500, batch loss=0.030395, epoch loss=0.164585 Batch=479, step=18480, lr=0.123250, batch loss=0.013101, epoch loss=0.177686 Batch=539, step=18540, lr=0.123000, batch loss=0.021735, epoch loss=0.199421 Batch=599, step=18600, lr=0.122750, batch loss=0.028918, epoch loss=0.228339 Batch=659, step=18660, lr=0.122500, batch loss=0.027834, epoch loss=0.256173 Batch=719, step=18720, lr=0.122250, batch loss=0.032090, epoch loss=0.288263 Batch=779, step=18780, lr=0.122000, batch loss=0.086061, epoch loss=0.374324 Batch=839, step=18840, lr=0.121750, batch loss=0.062143, epoch loss=0.436467 Batch=899, step=18900, lr=0.121500, batch loss=0.091320, epoch loss=0.527787 Batch=959, step=18960, lr=0.121250, batch loss=0.018324, epoch loss=0.546111 Batch=1019, step=19020, lr=0.121000, batch loss=0.028484, epoch loss=0.574594 Batch=1079, step=19080, lr=0.120750, batch loss=0.003024, epoch loss=0.577619 Batch=1139, step=19140, lr=0.120500, batch loss=0.020075, epoch loss=0.597694 Batch=1199, step=19200, lr=0.120250, batch loss=0.011232, epoch loss=0.608925 Epoch=15, step=19200, lr=0.120250, epoch loss=0.608925 Batch=59, step=19260, lr=0.120000, batch loss=0.007269, epoch loss=0.007269 Batch=119, step=19320, lr=0.119750, batch loss=0.023669, epoch loss=0.030938 Batch=179, step=19380, lr=0.119250, batch loss=0.064905, epoch loss=0.095843 Batch=239, step=19440, lr=0.119000, batch loss=0.027553, epoch loss=0.123395 Batch=299, step=19500, lr=0.119000, batch loss=0.010136, epoch loss=0.133531 Batch=359, step=19560, lr=0.118750, batch loss=0.024796, epoch loss=0.158327 Batch=419, step=19620, lr=0.118500, batch loss=0.021466, epoch loss=0.179793 Batch=479, step=19680, lr=0.118250, batch loss=0.007230, epoch loss=0.187024 Batch=539, step=19740, lr=0.118000, batch loss=0.019030, epoch loss=0.206053 Batch=599, step=19800, lr=0.117750, batch loss=0.023963, epoch loss=0.230017 Batch=659, step=19860, lr=0.117500, batch loss=0.020475, epoch loss=0.250492 Batch=719, step=19920, lr=0.117250, batch loss=0.051614, epoch loss=0.302106 Batch=779, step=19980, lr=0.117000, batch loss=0.081887, epoch loss=0.383992 Batch=839, step=20040, lr=0.116750, batch loss=0.030712, epoch loss=0.414704 Batch=899, step=20100, lr=0.116500, batch loss=0.036453, epoch loss=0.451156 Batch=959, step=20160, lr=0.116250, batch loss=0.012392, epoch loss=0.463549 Batch=1019, step=20220, lr=0.116000, batch loss=0.017363, epoch loss=0.480912 Batch=1079, step=20280, lr=0.115750, batch loss=0.001222, epoch loss=0.482133 Batch=1139, step=20340, lr=0.115500, batch loss=0.015146, epoch loss=0.497279 Batch=1199, step=20400, lr=0.115250, batch loss=0.006200, epoch loss=0.503479 Epoch=16, step=20400, lr=0.115250, epoch loss=0.503479 Batch=59, step=20460, lr=0.115000, batch loss=0.002753, epoch loss=0.002753 Batch=119, step=20520, lr=0.114750, batch loss=0.009577, epoch loss=0.012330 Batch=179, step=20580, lr=0.114500, batch loss=0.022708, epoch loss=0.035037 Batch=239, step=20640, lr=0.114250, batch loss=0.016520, epoch loss=0.051558 Batch=299, step=20700, lr=0.114000, batch loss=0.004742, epoch loss=0.056300 Batch=359, step=20760, lr=0.113750, batch loss=0.014248, epoch loss=0.070548 Batch=419, step=20820, lr=0.113250, batch loss=0.014832, epoch loss=0.085380 Batch=479, step=20880, lr=0.113250, batch loss=0.003935, epoch loss=0.089315 Batch=539, step=20940, lr=0.113000, batch loss=0.014968, epoch loss=0.104283 Batch=599, step=21000, lr=0.112750, batch loss=0.018749, epoch loss=0.123032 Batch=659, step=21060, lr=0.112250, batch loss=0.014065, epoch loss=0.137096 Batch=719, step=21120, lr=0.112250, batch loss=0.046367, epoch loss=0.183463 Batch=779, step=21180, lr=0.112000, batch loss=0.069484, epoch loss=0.252948 Batch=839, step=21240, lr=0.111750, batch loss=0.025948, epoch loss=0.278895 Batch=899, step=21300, lr=0.111500, batch loss=0.028410, epoch loss=0.307305 Batch=959, step=21360, lr=0.111250, batch loss=0.009865, epoch loss=0.317170 Batch=1019, step=21420, lr=0.111000, batch loss=0.010307, epoch loss=0.327476 Batch=1079, step=21480, lr=0.110750, batch loss=0.001726, epoch loss=0.329203 Batch=1139, step=21540, lr=0.110500, batch loss=0.012398, epoch loss=0.341601 Batch=1199, step=21600, lr=0.110250, batch loss=0.005086, epoch loss=0.346687 Epoch=17, step=21600, lr=0.110250, epoch loss=0.346687 Batch=59, step=21660, lr=0.110000, batch loss=0.002217, epoch loss=0.002217 Batch=119, step=21720, lr=0.109750, batch loss=0.006323, epoch loss=0.008540 Batch=179, step=21780, lr=0.109500, batch loss=0.012381, epoch loss=0.020921 Batch=239, step=21840, lr=0.109250, batch loss=0.009571, epoch loss=0.030493 Batch=299, step=21900, lr=0.109000, batch loss=0.010266, epoch loss=0.040758 Batch=359, step=21960, lr=0.108750, batch loss=0.014199, epoch loss=0.054957 Batch=419, step=22020, lr=0.108500, batch loss=0.012476, epoch loss=0.067433 Batch=479, step=22080, lr=0.108250, batch loss=0.002843, epoch loss=0.070276 Batch=539, step=22140, lr=0.108000, batch loss=0.016290, epoch loss=0.086566 Batch=599, step=22200, lr=0.107750, batch loss=0.016684, epoch loss=0.103249 Batch=659, step=22260, lr=0.107500, batch loss=0.015805, epoch loss=0.119054 Batch=719, step=22320, lr=0.107250, batch loss=0.023365, epoch loss=0.142420 Batch=779, step=22380, lr=0.107000, batch loss=0.038221, epoch loss=0.180641 Batch=839, step=22440, lr=0.106750, batch loss=0.020719, epoch loss=0.201360 Batch=899, step=22500, lr=0.106500, batch loss=0.030538, epoch loss=0.231898 Batch=959, step=22560, lr=0.106250, batch loss=0.009060, epoch loss=0.240958 Batch=1019, step=22620, lr=0.106000, batch loss=0.009873, epoch loss=0.250831 Batch=1079, step=22680, lr=0.105750, batch loss=0.000567, epoch loss=0.251398 Batch=1139, step=22740, lr=0.105250, batch loss=0.010388, epoch loss=0.261786 Batch=1199, step=22800, lr=0.105250, batch loss=0.004486, epoch loss=0.266272 Epoch=18, step=22800, lr=0.105250, epoch loss=0.266272 Batch=59, step=22860, lr=0.104750, batch loss=0.001261, epoch loss=0.001261 Batch=119, step=22920, lr=0.104750, batch loss=0.005498, epoch loss=0.006758 Batch=179, step=22980, lr=0.104250, batch loss=0.010230, epoch loss=0.016988 Batch=239, step=23040, lr=0.104250, batch loss=0.009148, epoch loss=0.026136 Batch=299, step=23100, lr=0.104000, batch loss=0.001736, epoch loss=0.027872 Batch=359, step=23160, lr=0.103750, batch loss=0.010983, epoch loss=0.038855 Batch=419, step=23220, lr=0.103500, batch loss=0.010288, epoch loss=0.049143 Batch=479, step=23280, lr=0.103250, batch loss=0.002382, epoch loss=0.051525 Batch=539, step=23340, lr=0.103000, batch loss=0.016576, epoch loss=0.068101 Batch=599, step=23400, lr=0.102750, batch loss=0.013364, epoch loss=0.081464 Batch=659, step=23460, lr=0.102500, batch loss=0.011109, epoch loss=0.092573 Batch=719, step=23520, lr=0.102250, batch loss=0.013043, epoch loss=0.105616 Batch=779, step=23580, lr=0.102000, batch loss=0.023007, epoch loss=0.128623 Batch=839, step=23640, lr=0.101750, batch loss=0.025633, epoch loss=0.154256 Batch=899, step=23700, lr=0.101500, batch loss=0.022133, epoch loss=0.176389 Batch=959, step=23760, lr=0.101250, batch loss=0.008070, epoch loss=0.184459 Batch=1019, step=23820, lr=0.101000, batch loss=0.008511, epoch loss=0.192970 Batch=1079, step=23880, lr=0.100750, batch loss=0.001428, epoch loss=0.194398 Batch=1139, step=23940, lr=0.100500, batch loss=0.008355, epoch loss=0.202753 Batch=1199, step=24000, lr=0.100250, batch loss=0.004634, epoch loss=0.207387 Epoch=19, step=24000, lr=0.100250, epoch loss=0.207387 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-20 19:37.59: Job failed: Failed: Build failed