2025-05-20 15:37.45: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0c149bf3ecd92e734e4ff83fd0bdeb75f6d733c8) (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 0c149bf3 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 15:37.45: 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 15:37.45: 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 15:37.45: Waiting for resource in pool OCluster 2025-05-20 15:37.45: Waiting for worker… 2025-05-20 15:40.02: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 0c149bf3 New executable read_config, and finally a better logging test setup with per-backend targets; important: test/ocannl_config -> test/config/ocannl_config (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-20 15:40.28 ---> 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% | 3.2 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 196.2 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 185.6 KiB/s | 24.3 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 7.2 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 15:40.37 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-20 15:40.37 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-20 15:41.25 ---> 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 15:41.26 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 15:41.28 ---> 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..55711315d0 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 15:42.04 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 15:42.04 ---> 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 15:42.08 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 15:42.08 ---> 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% | 513.7 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 129.6 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 38.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 561.2 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 15:42.26 ---> 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 dune.3.18.2, dune-configurator.3.18.2 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> 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-syntax-shims.1.0.0 -> 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 thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> 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 mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_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_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) 2025-05-20 15:44.41 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-20 15:44.42 ---> saved as "b4c664d26f8716247b8190fb5baf9819793c39cb68e79955aa6ba3627d4de1aa" /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 File "test/dune", lines 42-57, characters 0-506: 42 | (rule 43 | (target "%{read:config/ocannl_backend.txt}-0-0.log.actual") 44 | (action .... 55 | "\\1[0]{=MAYBE UNINITIALIZED} = " 56 | "%{read:config/ocannl_backend.txt}-0-0.log.actual" 57 | "%{read:config/ocannl_backend.txt}-0-0.log.actual")))) (cd _build/default/test && ../tools/minised.exe 0x[0-9a-f]+ 0xNNNN log_files/multicore_cc-0-0.log multicore_cc-0-0.log.actual) Fatal error: exception Sys_error("log_files/multicore_cc-0-0.log: No such file or directory") (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/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 (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 '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 '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 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 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 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 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=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195250, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263642, epoch loss=45.331911 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331911 Batch=59, step=1260, lr=0.195000, batch loss=0.262106, epoch loss=0.262106 Batch=119, step=1320, lr=0.194750, batch loss=0.205296, epoch loss=0.467402 Batch=179, step=1380, lr=0.194500, batch loss=0.243649, epoch loss=0.711051 Batch=239, step=1440, lr=0.194250, batch loss=0.347853, epoch loss=1.058904 Batch=299, step=1500, lr=0.194000, batch loss=0.247433, epoch loss=1.306337 Batch=359, step=1560, lr=0.193750, batch loss=0.316495, epoch loss=1.622832 Batch=419, step=1620, lr=0.193500, batch loss=0.308732, epoch loss=1.931564 Batch=479, step=1680, lr=0.193250, batch loss=0.275139, epoch loss=2.206703 Batch=539, step=1740, lr=0.193000, batch loss=0.210717, epoch loss=2.417420 Batch=599, step=1800, lr=0.192750, batch loss=0.262147, epoch loss=2.679567 Batch=659, step=1860, lr=0.192500, batch loss=0.375475, epoch loss=3.055042 Batch=719, step=1920, lr=0.192250, batch loss=0.358178, epoch loss=3.413220 Batch=779, step=1980, lr=0.192000, batch loss=0.386747, epoch loss=3.799967 Batch=839, step=2040, lr=0.191750, batch loss=0.346614, epoch loss=4.146581 Batch=899, step=2100, lr=0.191500, batch loss=0.322593, epoch loss=4.469174 Batch=959, step=2160, lr=0.191250, batch loss=0.255842, epoch loss=4.725016 Batch=1019, step=2220, lr=0.191000, batch loss=0.389033, epoch loss=5.114048 Batch=1079, step=2280, lr=0.190750, batch loss=0.219143, epoch loss=5.333191 Batch=1139, step=2340, lr=0.190500, batch loss=0.262945, epoch loss=5.596137 Batch=1199, step=2400, lr=0.190250, batch loss=0.212409, epoch loss=5.808546 Epoch=1, step=2400, lr=0.190250, epoch loss=5.808546 Batch=59, step=2460, lr=0.190000, batch loss=0.229962, epoch loss=0.229962 Batch=119, step=2520, lr=0.189750, batch loss=0.192306, epoch loss=0.422268 Batch=179, step=2580, lr=0.189500, batch loss=0.220923, epoch loss=0.643192 Batch=239, step=2640, lr=0.189250, batch loss=0.329097, epoch loss=0.972289 Batch=299, step=2700, lr=0.189000, batch loss=0.205430, epoch loss=1.177719 Batch=359, step=2760, lr=0.188750, batch loss=0.291289, epoch loss=1.469008 Batch=419, step=2820, lr=0.188500, batch loss=0.283013, epoch loss=1.752021 Batch=479, step=2880, lr=0.188250, batch loss=0.261768, epoch loss=2.013789 Batch=539, step=2940, lr=0.188000, batch loss=0.199924, epoch loss=2.213713 Batch=599, step=3000, lr=0.187750, batch loss=0.244434, epoch loss=2.458148 Batch=659, step=3060, lr=0.187500, batch loss=0.345439, epoch loss=2.803587 Batch=719, step=3120, lr=0.187250, batch loss=0.342415, epoch loss=3.146002 Batch=779, step=3180, lr=0.187000, batch loss=0.366968, epoch loss=3.512970 Batch=839, step=3240, lr=0.186750, batch loss=0.323154, epoch loss=3.836125 Batch=899, step=3300, lr=0.186500, batch loss=0.281742, epoch loss=4.117866 Batch=959, step=3360, lr=0.186250, batch loss=0.205133, epoch loss=4.323000 Batch=1019, step=3420, lr=0.186000, batch loss=0.317933, epoch loss=4.640933 Batch=1079, step=3480, lr=0.185750, batch loss=0.190998, epoch loss=4.831931 Batch=1139, step=3540, lr=0.185500, batch loss=0.234310, epoch loss=5.066242 Batch=1199, step=3600, lr=0.185250, batch loss=0.198928, epoch loss=5.265170 Epoch=2, step=3600, lr=0.185250, epoch loss=5.265170 Batch=59, step=3660, lr=0.185000, batch loss=0.231771, epoch loss=0.231771 Batch=119, step=3720, lr=0.184750, batch loss=0.196260, epoch loss=0.428031 Batch=179, step=3780, lr=0.184500, batch loss=0.212864, epoch loss=0.640895 Batch=239, step=3840, lr=0.184250, batch loss=0.318794, epoch loss=0.959690 Batch=299, step=3900, lr=0.184000, batch loss=0.206128, epoch loss=1.165818 Batch=359, step=3960, lr=0.183750, batch loss=0.287282, epoch loss=1.453100 Batch=419, step=4020, lr=0.183500, batch loss=0.274272, epoch loss=1.727372 Batch=479, step=4080, lr=0.183250, batch loss=0.251539, epoch loss=1.978911 Batch=539, step=4140, lr=0.183000, batch loss=0.192658, epoch loss=2.171570 Batch=599, step=4200, lr=0.182750, batch loss=0.234351, epoch loss=2.405921 Batch=659, step=4260, lr=0.182500, batch loss=0.333002, epoch loss=2.738923 Batch=719, step=4320, lr=0.182250, batch loss=0.342339, epoch loss=3.081261 Batch=779, step=4380, lr=0.182000, batch loss=0.348923, epoch loss=3.430184 Batch=839, step=4440, lr=0.181750, batch loss=0.316802, epoch loss=3.746986 Batch=899, step=4500, lr=0.181500, batch loss=0.284730, epoch loss=4.031716 Batch=959, step=4560, lr=0.181250, batch loss=0.240271, epoch loss=4.271987 Batch=1019, step=4620, lr=0.181000, batch loss=0.330514, epoch loss=4.602501 Batch=1079, step=4680, lr=0.180750, batch loss=0.198358, epoch loss=4.800859 Batch=1139, step=4740, lr=0.180500, batch loss=0.227936, epoch loss=5.028795 Batch=1199, step=4800, lr=0.180250, batch loss=0.193439, epoch loss=5.222234 Epoch=3, step=4800, lr=0.180250, epoch loss=5.222234 Batch=59, step=4860, lr=0.180000, batch loss=0.235415, epoch loss=0.235415 Batch=119, step=4920, lr=0.179750, batch loss=0.200624, epoch loss=0.436039 Batch=179, step=4980, lr=0.179500, batch loss=0.205949, epoch loss=0.641988 Batch=239, step=5040, lr=0.179250, batch loss=0.308805, epoch loss=0.950793 Batch=299, step=5100, lr=0.179000, batch loss=0.207610, epoch loss=1.158403 Batch=359, step=5160, lr=0.178750, batch loss=0.274986, epoch loss=1.433389 Batch=419, step=5220, lr=0.178500, batch loss=0.265782, epoch loss=1.699171 Batch=479, step=5280, lr=0.178250, batch loss=0.241442, epoch loss=1.940613 Batch=539, step=5340, lr=0.178000, batch loss=0.189281, epoch loss=2.129894 Batch=599, step=5400, lr=0.177750, batch loss=0.231845, epoch loss=2.361739 Batch=659, step=5460, lr=0.177500, batch loss=0.323291, epoch loss=2.685030 Batch=719, step=5520, lr=0.177250, batch loss=0.326080, epoch loss=3.011110 Batch=779, step=5580, lr=0.177000, batch loss=0.347741, epoch loss=3.358851 Batch=839, step=5640, lr=0.176750, batch loss=0.306059, epoch loss=3.664911 Batch=899, step=5700, lr=0.176500, batch loss=0.265451, epoch loss=3.930362 Batch=959, step=5760, lr=0.176000, batch loss=0.202062, epoch loss=4.132424 Batch=1019, step=5820, lr=0.176000, batch loss=0.300021, epoch loss=4.432445 Batch=1079, step=5880, lr=0.175750, batch loss=0.179895, epoch loss=4.612339 Batch=1139, step=5940, lr=0.175500, batch loss=0.221765, epoch loss=4.834105 Batch=1199, step=6000, lr=0.175250, batch loss=0.185376, epoch loss=5.019481 Epoch=4, step=6000, lr=0.175250, epoch loss=5.019481 Batch=59, step=6060, lr=0.175000, batch loss=0.218544, epoch loss=0.218544 Batch=119, step=6120, lr=0.174750, batch loss=0.188542, epoch loss=0.407086 Batch=179, step=6180, lr=0.174500, batch loss=0.199695, epoch loss=0.606781 Batch=239, step=6240, lr=0.174250, batch loss=0.298939, epoch loss=0.905720 Batch=299, step=6300, lr=0.174000, batch loss=0.216220, epoch loss=1.121939 Batch=359, step=6360, lr=0.173750, batch loss=0.279225, epoch loss=1.401165 Batch=419, step=6420, lr=0.173500, batch loss=0.266999, epoch loss=1.668164 Batch=479, step=6480, lr=0.173250, batch loss=0.241600, epoch loss=1.909763 Batch=539, step=6540, lr=0.173000, batch loss=0.196968, epoch loss=2.106732 Batch=599, step=6600, lr=0.172750, batch loss=0.240075, epoch loss=2.346807 Batch=659, step=6660, lr=0.172500, batch loss=0.313709, epoch loss=2.660516 Batch=719, step=6720, lr=0.172250, batch loss=0.315698, epoch loss=2.976214 Batch=779, step=6780, lr=0.172000, batch loss=0.330285, epoch loss=3.306499 Batch=839, step=6840, lr=0.171750, batch loss=0.304436, epoch loss=3.610935 Batch=899, step=6900, lr=0.171500, batch loss=0.265853, epoch loss=3.876788 Batch=959, step=6960, lr=0.171250, batch loss=0.214654, epoch loss=4.091442 Batch=1019, step=7020, lr=0.171000, batch loss=0.324050, epoch loss=4.415492 Batch=1079, step=7080, lr=0.170750, batch loss=0.177794, epoch loss=4.593286 Batch=1139, step=7140, lr=0.170500, batch loss=0.213568, epoch loss=4.806854 Batch=1199, step=7200, lr=0.170250, batch loss=0.182494, epoch loss=4.989348 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989348 Batch=59, step=7260, lr=0.170000, batch loss=0.240527, epoch loss=0.240527 Batch=119, step=7320, lr=0.169750, batch loss=0.179967, epoch loss=0.420494 Batch=179, step=7380, lr=0.169500, batch loss=0.194406, epoch loss=0.614900 Batch=239, step=7440, lr=0.169250, batch loss=0.290345, epoch loss=0.905245 Batch=299, step=7500, lr=0.169000, batch loss=0.204359, epoch loss=1.109604 Batch=359, step=7560, lr=0.168750, batch loss=0.264049, epoch loss=1.373653 Batch=419, step=7620, lr=0.168500, batch loss=0.258226, epoch loss=1.631879 Batch=479, step=7680, lr=0.168250, batch loss=0.234568, epoch loss=1.866447 Batch=539, step=7740, lr=0.168000, batch loss=0.191752, epoch loss=2.058198 Batch=599, step=7800, lr=0.167750, batch loss=0.228963, epoch loss=2.287162 Batch=659, step=7860, lr=0.167500, batch loss=0.303253, epoch loss=2.590414 Batch=719, step=7920, lr=0.167250, batch loss=0.308066, epoch loss=2.898480 Batch=779, step=7980, lr=0.167000, batch loss=0.328151, epoch loss=3.226631 Batch=839, step=8040, lr=0.166750, batch loss=0.292106, epoch loss=3.518737 Batch=899, step=8100, lr=0.166500, batch loss=0.262402, epoch loss=3.781139 Batch=959, step=8160, lr=0.166250, batch loss=0.197982, epoch loss=3.979120 Batch=1019, step=8220, lr=0.166000, batch loss=0.320986, epoch loss=4.300106 Batch=1079, step=8280, lr=0.165750, batch loss=0.191890, epoch loss=4.491997 Batch=1139, step=8340, lr=0.165500, batch loss=0.218405, epoch loss=4.710401 Batch=1199, step=8400, lr=0.165250, batch loss=0.172964, epoch loss=4.883366 Epoch=6, step=8400, lr=0.165250, epoch loss=4.883366 Batch=59, step=8460, lr=0.165000, batch loss=0.210760, epoch loss=0.210760 Batch=119, step=8520, lr=0.164750, batch loss=0.172318, epoch loss=0.383078 Batch=179, step=8580, lr=0.164500, batch loss=0.187264, epoch loss=0.570342 Batch=239, step=8640, lr=0.164250, batch loss=0.278668, epoch loss=0.849010 Batch=299, step=8700, lr=0.164000, batch loss=0.198017, epoch loss=1.047028 Batch=359, step=8760, lr=0.163750, batch loss=0.253686, epoch loss=1.300713 Batch=419, step=8820, lr=0.163500, batch loss=0.245075, epoch loss=1.545788 Batch=479, step=8880, lr=0.163250, batch loss=0.228247, epoch loss=1.774035 Batch=539, step=8940, lr=0.163000, batch loss=0.178686, epoch loss=1.952721 Batch=599, step=9000, lr=0.162750, batch loss=0.217324, epoch loss=2.170046 Batch=659, step=9060, lr=0.162500, batch loss=0.293448, epoch loss=2.463494 Batch=719, step=9120, lr=0.162250, batch loss=0.294650, epoch loss=2.758144 Batch=779, step=9180, lr=0.162000, batch loss=0.315181, epoch loss=3.073324 Batch=839, step=9240, lr=0.161750, batch loss=0.286575, epoch loss=3.359899 Batch=899, step=9300, lr=0.161500, batch loss=0.250803, epoch loss=3.610703 Batch=959, step=9360, lr=0.161250, batch loss=0.190145, epoch loss=3.800848 Batch=1019, step=9420, lr=0.161000, batch loss=0.316880, epoch loss=4.117728 Batch=1079, step=9480, lr=0.160750, batch loss=0.200155, epoch loss=4.317883 Batch=1139, step=9540, lr=0.160500, batch loss=0.211620, epoch loss=4.529503 Batch=1199, step=9600, lr=0.160250, batch loss=0.167262, epoch loss=4.696765 Epoch=7, step=9600, lr=0.160250, epoch loss=4.696765 Batch=59, step=9660, lr=0.160000, batch loss=0.199463, epoch loss=0.199463 Batch=119, step=9720, lr=0.159750, batch loss=0.163552, epoch loss=0.363015 Batch=179, step=9780, lr=0.159500, batch loss=0.178019, epoch loss=0.541034 Batch=239, step=9840, lr=0.159000, batch loss=0.261724, epoch loss=0.802758 Batch=299, step=9900, lr=0.159000, batch loss=0.181837, epoch loss=0.984595 Batch=359, step=9960, lr=0.158750, batch loss=0.240401, epoch loss=1.224996 Batch=419, step=10020, lr=0.158500, batch loss=0.231396, epoch loss=1.456391 Batch=479, step=10080, lr=0.158250, batch loss=0.214372, epoch loss=1.670764 Batch=539, step=10140, lr=0.158000, batch loss=0.170027, epoch loss=1.840790 Batch=599, step=10200, lr=0.157750, batch loss=0.202735, epoch loss=2.043526 Batch=659, step=10260, lr=0.157500, batch loss=0.280329, epoch loss=2.323855 Batch=719, step=10320, lr=0.157250, batch loss=0.286233, epoch loss=2.610088 Batch=779, step=10380, lr=0.157000, batch loss=0.293777, epoch loss=2.903865 Batch=839, step=10440, lr=0.156750, batch loss=0.266659, epoch loss=3.170524 Batch=899, step=10500, lr=0.156500, batch loss=0.241423, epoch loss=3.411947 Batch=959, step=10560, lr=0.156250, batch loss=0.197545, epoch loss=3.609492 Batch=1019, step=10620, lr=0.156000, batch loss=0.280352, epoch loss=3.889844 Batch=1079, step=10680, lr=0.155750, batch loss=0.167703, epoch loss=4.057546 Batch=1139, step=10740, lr=0.155500, batch loss=0.194008, epoch loss=4.251554 Batch=1199, step=10800, lr=0.155250, batch loss=0.153799, epoch loss=4.405353 Epoch=8, step=10800, lr=0.155250, epoch loss=4.405353 Batch=59, step=10860, lr=0.155000, batch loss=0.175165, epoch loss=0.175165 Batch=119, step=10920, lr=0.154750, batch loss=0.146390, epoch loss=0.321555 Batch=179, step=10980, lr=0.154500, batch loss=0.165421, epoch loss=0.486976 Batch=239, step=11040, lr=0.154250, batch loss=0.242035, epoch loss=0.729011 Batch=299, step=11100, lr=0.154000, batch loss=0.169455, epoch loss=0.898466 Batch=359, step=11160, lr=0.153750, batch loss=0.226039, epoch loss=1.124505 Batch=419, step=11220, lr=0.153500, batch loss=0.233985, epoch loss=1.358490 Batch=479, step=11280, lr=0.153250, batch loss=0.198665, epoch loss=1.557155 Batch=539, step=11340, lr=0.153000, batch loss=0.158207, epoch loss=1.715362 Batch=599, step=11400, lr=0.152750, batch loss=0.180251, epoch loss=1.895613 Batch=659, step=11460, lr=0.152500, batch loss=0.262436, epoch loss=2.158049 Batch=719, step=11520, lr=0.152250, batch loss=0.255621, epoch loss=2.413670 Batch=779, step=11580, lr=0.152000, batch loss=0.271003, epoch loss=2.684673 Batch=839, step=11640, lr=0.151750, batch loss=0.255205, epoch loss=2.939878 Batch=899, step=11700, lr=0.151500, batch loss=0.217871, epoch loss=3.157750 Batch=959, step=11760, lr=0.151250, batch loss=0.182052, epoch loss=3.339801 Batch=1019, step=11820, lr=0.151000, batch loss=0.265084, epoch loss=3.604885 Batch=1079, step=11880, lr=0.150750, batch loss=0.154408, epoch loss=3.759293 Batch=1139, step=11940, lr=0.150500, batch loss=0.193481, epoch loss=3.952774 Batch=1199, step=12000, lr=0.150250, batch loss=0.140362, epoch loss=4.093136 Epoch=9, step=12000, lr=0.150250, epoch loss=4.093136 Batch=59, step=12060, lr=0.150000, batch loss=0.159090, epoch loss=0.159090 Batch=119, step=12120, lr=0.149750, batch loss=0.127478, epoch loss=0.286567 Batch=179, step=12180, lr=0.149500, batch loss=0.152349, epoch loss=0.438916 Batch=239, step=12240, lr=0.149250, batch loss=0.221568, epoch loss=0.660484 Batch=299, step=12300, lr=0.149000, batch loss=0.146286, epoch loss=0.806770 Batch=359, step=12360, lr=0.148750, batch loss=0.193683, epoch loss=1.000453 Batch=419, step=12420, lr=0.148500, batch loss=0.207932, epoch loss=1.208385 Batch=479, step=12480, lr=0.148250, batch loss=0.177496, epoch loss=1.385881 Batch=539, step=12540, lr=0.148000, batch loss=0.143722, epoch loss=1.529603 Batch=599, step=12600, lr=0.147750, batch loss=0.149636, epoch loss=1.679239 Batch=659, step=12660, lr=0.147500, batch loss=0.225388, epoch loss=1.904627 Batch=719, step=12720, lr=0.147250, batch loss=0.228467, epoch loss=2.133094 Batch=779, step=12780, lr=0.147000, batch loss=0.257770, epoch loss=2.390863 Batch=839, step=12840, lr=0.146750, batch loss=0.232729, epoch loss=2.623592 Batch=899, step=12900, lr=0.146500, batch loss=0.225859, epoch loss=2.849451 Batch=959, step=12960, lr=0.146250, batch loss=0.140869, epoch loss=2.990320 Batch=1019, step=13020, lr=0.146000, batch loss=0.233467, epoch loss=3.223786 Batch=1079, step=13080, lr=0.145750, batch loss=0.109184, epoch loss=3.332970 Batch=1139, step=13140, lr=0.145500, batch loss=0.147107, epoch loss=3.480078 Batch=1199, step=13200, lr=0.145250, batch loss=0.115973, epoch loss=3.596051 Epoch=10, step=13200, lr=0.145250, epoch loss=3.596051 Batch=59, step=13260, lr=0.145000, batch loss=0.133672, epoch loss=0.133672 Batch=119, step=13320, lr=0.144750, batch loss=0.106502, epoch loss=0.240173 Batch=179, step=13380, lr=0.144500, batch loss=0.126782, epoch loss=0.366955 Batch=239, step=13440, lr=0.144250, batch loss=0.186055, epoch loss=0.553010 Batch=299, step=13500, lr=0.144000, batch loss=0.115542, epoch loss=0.668553 Batch=359, step=13560, lr=0.143750, batch loss=0.161655, epoch loss=0.830208 Batch=419, step=13620, lr=0.143500, batch loss=0.167855, epoch loss=0.998063 Batch=479, step=13680, lr=0.143250, batch loss=0.148229, epoch loss=1.146292 Batch=539, step=13740, lr=0.143000, batch loss=0.117275, epoch loss=1.263567 Batch=599, step=13800, lr=0.142750, batch loss=0.120290, epoch loss=1.383858 Batch=659, step=13860, lr=0.142500, batch loss=0.176116, epoch loss=1.559974 Batch=719, step=13920, lr=0.142250, batch loss=0.171642, epoch loss=1.731615 Batch=779, step=13980, lr=0.142000, batch loss=0.179526, epoch loss=1.911141 Batch=839, step=14040, lr=0.141750, batch loss=0.203022, epoch loss=2.114163 Batch=899, step=14100, lr=0.141500, batch loss=0.214350, epoch loss=2.328514 Batch=959, step=14160, lr=0.141250, batch loss=0.107090, epoch loss=2.435604 Batch=1019, step=14220, lr=0.141000, batch loss=0.190253, epoch loss=2.625856 Batch=1079, step=14280, lr=0.140750, batch loss=0.086529, epoch loss=2.712385 Batch=1139, step=14340, lr=0.140500, batch loss=0.145967, epoch loss=2.858352 Batch=1199, step=14400, lr=0.140250, batch loss=0.088146, epoch loss=2.946498 Epoch=11, step=14400, lr=0.140250, epoch loss=2.946498 Batch=59, step=14460, lr=0.139750, batch loss=0.105840, epoch loss=0.105840 Batch=119, step=14520, lr=0.139750, batch loss=0.098547, epoch loss=0.204387 Batch=179, step=14580, lr=0.139500, batch loss=0.100999, epoch loss=0.305387 Batch=239, step=14640, lr=0.139250, batch loss=0.141121, epoch loss=0.446508 Batch=299, step=14700, lr=0.139000, batch loss=0.076930, epoch loss=0.523438 Batch=359, step=14760, lr=0.138750, batch loss=0.120493, epoch loss=0.643932 Batch=419, step=14820, lr=0.138500, batch loss=0.131404, epoch loss=0.775336 Batch=479, step=14880, lr=0.138250, batch loss=0.100147, epoch loss=0.875482 Batch=539, step=14940, lr=0.138000, batch loss=0.110121, epoch loss=0.985603 Batch=599, step=15000, lr=0.137750, batch loss=0.084083, epoch loss=1.069686 Batch=659, step=15060, lr=0.137500, batch loss=0.128079, epoch loss=1.197764 Batch=719, step=15120, lr=0.137250, batch loss=0.126556, epoch loss=1.324320 Batch=779, step=15180, lr=0.137000, batch loss=0.154422, epoch loss=1.478743 Batch=839, step=15240, lr=0.136750, batch loss=0.169486, epoch loss=1.648229 Batch=899, step=15300, lr=0.136500, batch loss=0.292118, epoch loss=1.940347 Batch=959, step=15360, lr=0.136250, batch loss=0.058605, epoch loss=1.998952 Batch=1019, step=15420, lr=0.136000, batch loss=0.138553, epoch loss=2.137505 Batch=1079, step=15480, lr=0.135750, batch loss=0.041647, epoch loss=2.179153 Batch=1139, step=15540, lr=0.135500, batch loss=0.096057, epoch loss=2.275210 Batch=1199, step=15600, lr=0.135250, batch loss=0.060351, epoch loss=2.335562 Epoch=12, step=15600, lr=0.135250, epoch loss=2.335562 Batch=59, step=15660, lr=0.135000, batch loss=0.072017, epoch loss=0.072017 Batch=119, step=15720, lr=0.134750, batch loss=0.089732, epoch loss=0.161749 Batch=179, step=15780, lr=0.134500, batch loss=0.080368, epoch loss=0.242117 Batch=239, step=15840, lr=0.134250, batch loss=0.092073, epoch loss=0.334190 Batch=299, step=15900, lr=0.134000, batch loss=0.036786, epoch loss=0.370976 Batch=359, step=15960, lr=0.133750, batch loss=0.074427, epoch loss=0.445402 Batch=419, step=16020, lr=0.133500, batch loss=0.092311, epoch loss=0.537713 Batch=479, step=16080, lr=0.133250, batch loss=0.066916, epoch loss=0.604628 Batch=539, step=16140, lr=0.133000, batch loss=0.104217, epoch loss=0.708845 Batch=599, step=16200, lr=0.132750, batch loss=0.058966, epoch loss=0.767811 Batch=659, step=16260, lr=0.132500, batch loss=0.077314, epoch loss=0.845125 Batch=719, step=16320, lr=0.132250, batch loss=0.083434, epoch loss=0.928559 Batch=779, step=16380, lr=0.132000, batch loss=0.102083, epoch loss=1.030642 Batch=839, step=16440, lr=0.131750, batch loss=0.119070, epoch loss=1.149713 Batch=899, step=16500, lr=0.131500, batch loss=0.161739, epoch loss=1.311451 Batch=959, step=16560, lr=0.131250, batch loss=0.043574, epoch loss=1.355026 Batch=1019, step=16620, lr=0.131000, batch loss=0.102758, epoch loss=1.457784 Batch=1079, step=16680, lr=0.130750, batch loss=0.028457, epoch loss=1.486241 Batch=1139, step=16740, lr=0.130500, batch loss=0.066396, epoch loss=1.552637 Batch=1199, step=16800, lr=0.130250, batch loss=0.029931, epoch loss=1.582569 Epoch=13, step=16800, lr=0.130250, epoch loss=1.582569 Batch=59, step=16860, lr=0.130000, batch loss=0.036268, epoch loss=0.036268 Batch=119, step=16920, lr=0.129750, batch loss=0.051088, epoch loss=0.087356 Batch=179, step=16980, lr=0.129500, batch loss=0.046542, epoch loss=0.133898 Batch=239, step=17040, lr=0.129250, batch loss=0.070702, epoch loss=0.204600 Batch=299, step=17100, lr=0.129000, batch loss=0.068974, epoch loss=0.273573 Batch=359, step=17160, lr=0.128750, batch loss=0.052237, epoch loss=0.325810 Batch=419, step=17220, lr=0.128500, batch loss=0.057859, epoch loss=0.383669 Batch=479, step=17280, lr=0.128250, batch loss=0.025340, epoch loss=0.409010 Batch=539, step=17340, lr=0.128000, batch loss=0.032615, epoch loss=0.441624 Batch=599, step=17400, lr=0.127750, batch loss=0.034319, epoch loss=0.475943 Batch=659, step=17460, lr=0.127500, batch loss=0.044860, epoch loss=0.520803 Batch=719, step=17520, lr=0.127250, batch loss=0.037046, epoch loss=0.557848 Batch=779, step=17580, lr=0.126750, batch loss=0.040160, epoch loss=0.598009 Batch=839, step=17640, lr=0.126750, batch loss=0.053637, epoch loss=0.651646 Batch=899, step=17700, lr=0.126500, batch loss=0.053545, epoch loss=0.705190 Batch=959, step=17760, lr=0.126000, batch loss=0.042911, epoch loss=0.748101 Batch=1019, step=17820, lr=0.125750, batch loss=0.111618, epoch loss=0.859719 Batch=1079, step=17880, lr=0.125750, batch loss=0.018135, epoch loss=0.877854 Batch=1139, step=17940, lr=0.125500, batch loss=0.044526, epoch loss=0.922380 Batch=1199, step=18000, lr=0.125250, batch loss=0.017581, epoch loss=0.939962 Epoch=14, step=18000, lr=0.125250, epoch loss=0.939962 Batch=59, step=18060, lr=0.125000, batch loss=0.011147, epoch loss=0.011147 Batch=119, step=18120, lr=0.124750, batch loss=0.018691, epoch loss=0.029838 Batch=179, step=18180, lr=0.124500, batch loss=0.030676, epoch loss=0.060514 Batch=239, step=18240, lr=0.124250, batch loss=0.037080, epoch loss=0.097594 Batch=299, step=18300, lr=0.124000, batch loss=0.020244, epoch loss=0.117838 Batch=359, step=18360, lr=0.123750, batch loss=0.023316, epoch loss=0.141154 Batch=419, step=18420, lr=0.123500, batch loss=0.031142, epoch loss=0.172295 Batch=479, step=18480, lr=0.123250, batch loss=0.020852, epoch loss=0.193148 Batch=539, step=18540, lr=0.122750, batch loss=0.047375, epoch loss=0.240522 Batch=599, step=18600, lr=0.122750, batch loss=0.025425, epoch loss=0.265947 Batch=659, step=18660, lr=0.122500, batch loss=0.032692, epoch loss=0.298639 Batch=719, step=18720, lr=0.122250, batch loss=0.029760, epoch loss=0.328399 Batch=779, step=18780, lr=0.121750, batch loss=0.084357, epoch loss=0.412756 Batch=839, step=18840, lr=0.121500, batch loss=0.058911, epoch loss=0.471667 Batch=899, step=18900, lr=0.121500, batch loss=0.081353, epoch loss=0.553019 Batch=959, step=18960, lr=0.121250, batch loss=0.013613, epoch loss=0.566633 Batch=1019, step=19020, lr=0.121000, batch loss=0.018686, epoch loss=0.585319 Batch=1079, step=19080, lr=0.120750, batch loss=0.006771, epoch loss=0.592090 Batch=1139, step=19140, lr=0.120500, batch loss=0.023527, epoch loss=0.615616 Batch=1199, step=19200, lr=0.120000, batch loss=0.010060, epoch loss=0.625676 Epoch=15, step=19200, lr=0.120000, epoch loss=0.625676 Batch=59, step=19260, lr=0.120000, batch loss=0.005101, epoch loss=0.005101 Batch=119, step=19320, lr=0.119750, batch loss=0.018430, epoch loss=0.023531 Batch=179, step=19380, lr=0.119250, batch loss=0.044804, epoch loss=0.068335 Batch=239, step=19440, lr=0.119000, batch loss=0.019996, epoch loss=0.088331 Batch=299, step=19500, lr=0.118750, batch loss=0.012139, epoch loss=0.100471 Batch=359, step=19560, lr=0.118750, batch loss=0.022811, epoch loss=0.123282 Batch=419, step=19620, lr=0.118250, batch loss=0.018770, epoch loss=0.142052 Batch=479, step=19680, lr=0.118000, batch loss=0.006392, epoch loss=0.148443 Batch=539, step=19740, lr=0.117750, batch loss=0.017031, epoch loss=0.165474 Batch=599, step=19800, lr=0.117500, batch loss=0.022291, epoch loss=0.187765 Batch=659, step=19860, lr=0.117500, batch loss=0.017708, epoch loss=0.205472 Batch=719, step=19920, lr=0.117250, batch loss=0.040663, epoch loss=0.246136 Batch=779, step=19980, lr=0.117000, batch loss=0.077056, epoch loss=0.323192 Batch=839, step=20040, lr=0.116750, batch loss=0.030063, epoch loss=0.353255 Batch=899, step=20100, lr=0.116500, batch loss=0.032282, epoch loss=0.385537 Batch=959, step=20160, lr=0.116250, batch loss=0.012417, epoch loss=0.397954 Batch=1019, step=20220, lr=0.116000, batch loss=0.014104, epoch loss=0.412058 Batch=1079, step=20280, lr=0.115750, batch loss=0.002162, epoch loss=0.414220 Batch=1139, step=20340, lr=0.115500, batch loss=0.016224, epoch loss=0.430444 Batch=1199, step=20400, lr=0.115250, batch loss=0.006411, epoch loss=0.436855 Epoch=16, step=20400, lr=0.115250, epoch loss=0.436855 Batch=59, step=20460, lr=0.115000, batch loss=0.002790, epoch loss=0.002790 Batch=119, step=20520, lr=0.114750, batch loss=0.010067, epoch loss=0.012857 Batch=179, step=20580, lr=0.114500, batch loss=0.026121, epoch loss=0.038979 Batch=239, step=20640, lr=0.114250, batch loss=0.014585, epoch loss=0.053564 Batch=299, step=20700, lr=0.114000, batch loss=0.003573, epoch loss=0.057137 Batch=359, step=20760, lr=0.113750, batch loss=0.012913, epoch loss=0.070050 Batch=419, step=20820, lr=0.113500, batch loss=0.014608, epoch loss=0.084658 Batch=479, step=20880, lr=0.113250, batch loss=0.005136, epoch loss=0.089794 Batch=539, step=20940, lr=0.113000, batch loss=0.015314, epoch loss=0.105108 Batch=599, step=21000, lr=0.112750, batch loss=0.018005, epoch loss=0.123112 Batch=659, step=21060, lr=0.112500, batch loss=0.013540, epoch loss=0.136653 Batch=719, step=21120, lr=0.112000, batch loss=0.029168, epoch loss=0.165821 Batch=779, step=21180, lr=0.112000, batch loss=0.058563, epoch loss=0.224384 Batch=839, step=21240, lr=0.111750, batch loss=0.024249, epoch loss=0.248633 Batch=899, step=21300, lr=0.111500, batch loss=0.023343, epoch loss=0.271976 Batch=959, step=21360, lr=0.111250, batch loss=0.015184, epoch loss=0.287160 Batch=1019, step=21420, lr=0.110750, batch loss=0.014125, epoch loss=0.301285 Batch=1079, step=21480, lr=0.110500, batch loss=0.002018, epoch loss=0.303303 Batch=1139, step=21540, lr=0.110250, batch loss=0.012539, epoch loss=0.315842 Batch=1199, step=21600, lr=0.110250, batch loss=0.005204, epoch loss=0.321046 Epoch=17, step=21600, lr=0.110250, epoch loss=0.321046 Batch=59, step=21660, lr=0.110000, batch loss=0.002814, epoch loss=0.002814 Batch=119, step=21720, lr=0.109500, batch loss=0.006739, epoch loss=0.009553 Batch=179, step=21780, lr=0.109500, batch loss=0.012121, epoch loss=0.021674 Batch=239, step=21840, lr=0.109250, batch loss=0.009634, epoch loss=0.031308 Batch=299, step=21900, lr=0.109000, batch loss=0.011827, epoch loss=0.043135 Batch=359, step=21960, lr=0.108750, batch loss=0.013017, epoch loss=0.056152 Batch=419, step=22020, lr=0.108500, batch loss=0.012602, epoch loss=0.068754 Batch=479, step=22080, lr=0.108250, batch loss=0.003587, epoch loss=0.072342 Batch=539, step=22140, lr=0.108000, batch loss=0.015999, epoch loss=0.088340 Batch=599, step=22200, lr=0.107750, batch loss=0.016201, epoch loss=0.104541 Batch=659, step=22260, lr=0.107500, batch loss=0.013646, epoch loss=0.118187 Batch=719, step=22320, lr=0.107250, batch loss=0.019390, epoch loss=0.137577 Batch=779, step=22380, lr=0.107000, batch loss=0.024329, epoch loss=0.161906 Batch=839, step=22440, lr=0.106750, batch loss=0.027133, epoch loss=0.189039 Batch=899, step=22500, lr=0.106500, batch loss=0.025823, epoch loss=0.214862 Batch=959, step=22560, lr=0.106250, batch loss=0.008791, epoch loss=0.223653 Batch=1019, step=22620, lr=0.106000, batch loss=0.009535, epoch loss=0.233188 Batch=1079, step=22680, lr=0.105750, batch loss=0.001603, epoch loss=0.234791 Batch=1139, step=22740, lr=0.105250, batch loss=0.010747, epoch loss=0.245538 Batch=1199, step=22800, lr=0.105250, batch loss=0.004958, epoch loss=0.250496 Epoch=18, step=22800, lr=0.105250, epoch loss=0.250496 Batch=59, step=22860, lr=0.104750, batch loss=0.002330, epoch loss=0.002330 Batch=119, step=22920, lr=0.104500, batch loss=0.004690, epoch loss=0.007020 Batch=179, step=22980, lr=0.104250, batch loss=0.012297, epoch loss=0.019317 Batch=239, step=23040, lr=0.104250, batch loss=0.008295, epoch loss=0.027611 Batch=299, step=23100, lr=0.104000, batch loss=0.009474, epoch loss=0.037086 Batch=359, step=23160, lr=0.103750, batch loss=0.011973, epoch loss=0.049059 Batch=419, step=23220, lr=0.103250, batch loss=0.010728, epoch loss=0.059787 Batch=479, step=23280, lr=0.103250, batch loss=0.003444, epoch loss=0.063231 Batch=539, step=23340, lr=0.103000, batch loss=0.015189, epoch loss=0.078420 Batch=599, step=23400, lr=0.102750, batch loss=0.013670, epoch loss=0.092091 Batch=659, step=23460, lr=0.102500, batch loss=0.011964, epoch loss=0.104055 Batch=719, step=23520, lr=0.102250, batch loss=0.019106, epoch loss=0.123161 Batch=779, step=23580, lr=0.102000, batch loss=0.026462, epoch loss=0.149623 Batch=839, step=23640, lr=0.101750, batch loss=0.026458, epoch loss=0.176081 Batch=899, step=23700, lr=0.101500, batch loss=0.021929, epoch loss=0.198010 Batch=959, step=23760, lr=0.101250, batch loss=0.007918, epoch loss=0.205928 Batch=1019, step=23820, lr=0.101000, batch loss=0.008588, epoch loss=0.214516 Batch=1079, step=23880, lr=0.100750, batch loss=0.000515, epoch loss=0.215031 Batch=1139, step=23940, lr=0.100500, batch loss=0.009504, epoch loss=0.224535 Batch=1199, step=24000, lr=0.100250, batch loss=0.004460, epoch loss=0.228996 Epoch=19, step=24000, lr=0.100250, epoch loss=0.228996 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 15:45.20: Job failed: Failed: Build failed