2025-05-16 15:19.32: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f1ca041a84d08f2a843f9fb80ab2c50a29a157f7) (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 f1ca041a 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 2025-05-16 15:19.32: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-16 15:19.32: 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")) ) 2025-05-16 15:19.32: Waiting for resource in pool OCluster 2025-05-16 15:19.33: Waiting for worker… 2025-05-16 15:19.41: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at f1ca041a Logging support for the Metal backend, by Gemini (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-16 15:19.42 ---> using "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" from cache /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 - x86_64 100% | 187.9 KiB/s | 25.4 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 180.6 KiB/s | 23.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 4.1 MiB/s | 4.5 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-16 15:19.42 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-16 15:19.42 ---> using "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. 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. [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 2025-05-16 15:19.42 ---> using "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" from cache /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 2025-05-16 15:19.42 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-16 15:19.42 ---> using "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 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..cf409d95af 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) 2025-05-16 15:20.40 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-16 15:20.41 ---> 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) 2025-05-16 15:20.47 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-16 15:20.48 ---> 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% | 394.0 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 127.8 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 142.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 14.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 240.0 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-16 15:21.27 ---> 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 base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved csexp.1.5.2 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (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_compare.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> installed num.1.5-1 -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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) -> installed cmdliner.1.3.0 -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed fmt.0.10.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed 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 ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.2 -> installed printbox-ext-plot.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.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_cold.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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) 2025-05-16 15:25.30 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-16 15:25.31 ---> saved as "1f5f843f1b2a1f5def17d14d16bfa021346fabfb337e52589e8b643f59aaace7" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e77372e172f1ec2f904be04111f955ce/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-41, characters 0-727: 19 | (rule 20 | (target 21 | (dir log_files)) .... 39 | "\\1[0]{=MAYBE UNINITIALIZED} = " 40 | "log_files/micrograd_demo_logging-g_gradient_update.log" 41 | "log_files/micrograd_demo_logging-g_gradient_update.log")))) (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_routine_files=overwrite) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_debug_log_to_routine_files Found overwrite, commandline --ocannl_debug_log_to_routine_files=overwrite 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/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a13a49f035deeb05c035325ab82f992f/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/a13a49f035deeb05c035325ab82f992f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_debug_log_to_routine_files Not found, using default no Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.845226, epoch loss=35.615435 Batch=299, step=300, lr=0.198750, batch loss=1.456835, epoch loss=37.072270 Batch=359, step=360, lr=0.198500, batch loss=1.325217, epoch loss=38.397487 Batch=419, step=420, lr=0.198500, batch loss=0.622249, epoch loss=39.019735 Batch=479, step=480, lr=0.198250, batch loss=0.817184, epoch loss=39.836919 Batch=539, step=540, lr=0.198000, batch loss=0.699850, epoch loss=40.536769 Batch=599, step=600, lr=0.197750, batch loss=1.072448, epoch loss=41.609218 Batch=659, step=660, lr=0.197250, batch loss=0.483078, epoch loss=42.092295 Batch=719, step=720, lr=0.197000, batch loss=0.411585, epoch loss=42.503880 Batch=779, step=780, lr=0.196750, batch loss=0.469794, epoch loss=42.973674 Batch=839, step=840, lr=0.196500, batch loss=0.444648, epoch loss=43.418322 Batch=899, step=900, lr=0.196250, batch loss=0.383232, epoch loss=43.801555 Batch=959, step=960, lr=0.196250, batch loss=0.240908, epoch loss=44.042462 Batch=1019, step=1020, lr=0.195750, batch loss=0.438304, epoch loss=44.480766 Batch=1079, step=1080, lr=0.195500, batch loss=0.226826, epoch loss=44.707592 Batch=1139, step=1140, lr=0.195250, batch loss=0.314281, epoch loss=45.021873 Batch=1199, step=1200, lr=0.195000, batch loss=0.262699, epoch loss=45.284571 Epoch=0, step=1200, lr=0.195000, epoch loss=45.284571 Batch=59, step=1260, lr=0.194750, batch loss=0.262339, epoch loss=0.262339 Batch=119, step=1320, lr=0.194500, batch loss=0.210422, epoch loss=0.472762 Batch=179, step=1380, lr=0.194250, batch loss=0.244245, epoch loss=0.717007 Batch=239, step=1440, lr=0.194000, batch loss=0.351956, epoch loss=1.068962 Batch=299, step=1500, lr=0.194000, batch loss=0.238809, epoch loss=1.307771 Batch=359, step=1560, lr=0.193500, batch loss=0.311608, epoch loss=1.619379 Batch=419, step=1620, lr=0.193500, batch loss=0.308385, epoch loss=1.927764 Batch=479, step=1680, lr=0.193250, batch loss=0.275242, epoch loss=2.203006 Batch=539, step=1740, lr=0.192750, batch loss=0.210731, epoch loss=2.413737 Batch=599, step=1800, lr=0.192500, batch loss=0.254370, epoch loss=2.668107 Batch=659, step=1860, lr=0.192250, batch loss=0.372007, epoch loss=3.040114 Batch=719, step=1920, lr=0.192250, batch loss=0.360529, epoch loss=3.400643 Batch=779, step=1980, lr=0.192000, batch loss=0.383511, epoch loss=3.784154 Batch=839, step=2040, lr=0.191750, batch loss=0.349608, epoch loss=4.133762 Batch=899, step=2100, lr=0.191500, batch loss=0.322836, epoch loss=4.456598 Batch=959, step=2160, lr=0.191250, batch loss=0.257774, epoch loss=4.714372 Batch=1019, step=2220, lr=0.191000, batch loss=0.390221, epoch loss=5.104594 Batch=1079, step=2280, lr=0.190750, batch loss=0.224128, epoch loss=5.328721 Batch=1139, step=2340, lr=0.190500, batch loss=0.270756, epoch loss=5.599477 Batch=1199, step=2400, lr=0.190250, batch loss=0.216391, epoch loss=5.815869 Epoch=1, step=2400, lr=0.190250, epoch loss=5.815869 Batch=59, step=2460, lr=0.190000, batch loss=0.229514, epoch loss=0.229514 Batch=119, step=2520, lr=0.189750, batch loss=0.186742, epoch loss=0.416256 Batch=179, step=2580, lr=0.189250, batch loss=0.222233, epoch loss=0.638489 Batch=239, step=2640, lr=0.189250, batch loss=0.337685, epoch loss=0.976174 Batch=299, step=2700, lr=0.189000, batch loss=0.220120, epoch loss=1.196295 Batch=359, step=2760, lr=0.188750, batch loss=0.297490, epoch loss=1.493785 Batch=419, step=2820, lr=0.188500, batch loss=0.287663, epoch loss=1.781448 Batch=479, step=2880, lr=0.188250, batch loss=0.262171, epoch loss=2.043618 Batch=539, step=2940, lr=0.187750, batch loss=0.200860, epoch loss=2.244478 Batch=599, step=3000, lr=0.187500, batch loss=0.244561, epoch loss=2.489039 Batch=659, step=3060, lr=0.187500, batch loss=0.346308, epoch loss=2.835347 Batch=719, step=3120, lr=0.187250, batch loss=0.341133, epoch loss=3.176480 Batch=779, step=3180, lr=0.187000, batch loss=0.361508, epoch loss=3.537988 Batch=839, step=3240, lr=0.186500, batch loss=0.327831, epoch loss=3.865819 Batch=899, step=3300, lr=0.186500, batch loss=0.302144, epoch loss=4.167963 Batch=959, step=3360, lr=0.186250, batch loss=0.232384, epoch loss=4.400347 Batch=1019, step=3420, lr=0.186000, batch loss=0.358483, epoch loss=4.758830 Batch=1079, step=3480, lr=0.185750, batch loss=0.216792, epoch loss=4.975622 Batch=1139, step=3540, lr=0.185250, batch loss=0.254140, epoch loss=5.229762 Batch=1199, step=3600, lr=0.185250, batch loss=0.200055, epoch loss=5.429817 Epoch=2, step=3600, lr=0.185250, epoch loss=5.429817 Batch=59, step=3660, lr=0.184750, batch loss=0.224391, epoch loss=0.224391 Batch=119, step=3720, lr=0.184750, batch loss=0.183940, epoch loss=0.408331 Batch=179, step=3780, lr=0.184500, batch loss=0.214126, epoch loss=0.622457 Batch=239, step=3840, lr=0.184250, batch loss=0.326711, epoch loss=0.949168 Batch=299, step=3900, lr=0.184000, batch loss=0.204435, epoch loss=1.153603 Batch=359, step=3960, lr=0.183750, batch loss=0.282210, epoch loss=1.435813 Batch=419, step=4020, lr=0.183250, batch loss=0.273025, epoch loss=1.708839 Batch=479, step=4080, lr=0.183000, batch loss=0.247991, epoch loss=1.956829 Batch=539, step=4140, lr=0.183000, batch loss=0.195073, epoch loss=2.151902 Batch=599, step=4200, lr=0.182750, batch loss=0.239708, epoch loss=2.391610 Batch=659, step=4260, lr=0.182250, batch loss=0.329613, epoch loss=2.721223 Batch=719, step=4320, lr=0.182250, batch loss=0.331230, epoch loss=3.052453 Batch=779, step=4380, lr=0.182000, batch loss=0.350333, epoch loss=3.402786 Batch=839, step=4440, lr=0.181500, batch loss=0.318907, epoch loss=3.721693 Batch=899, step=4500, lr=0.181500, batch loss=0.293449, epoch loss=4.015143 Batch=959, step=4560, lr=0.181250, batch loss=0.239882, epoch loss=4.255024 Batch=1019, step=4620, lr=0.181000, batch loss=0.327184, epoch loss=4.582209 Batch=1079, step=4680, lr=0.180750, batch loss=0.195652, epoch loss=4.777860 Batch=1139, step=4740, lr=0.180500, batch loss=0.227293, epoch loss=5.005154 Batch=1199, step=4800, lr=0.180000, batch loss=0.194267, epoch loss=5.199421 Epoch=3, step=4800, lr=0.180000, epoch loss=5.199421 Batch=59, step=4860, lr=0.180000, batch loss=0.233154, epoch loss=0.233154 Batch=119, step=4920, lr=0.179750, batch loss=0.185992, epoch loss=0.419145 Batch=179, step=4980, lr=0.179500, batch loss=0.206189, epoch loss=0.625334 Batch=239, step=5040, lr=0.179250, batch loss=0.309742, epoch loss=0.935076 Batch=299, step=5100, lr=0.179000, batch loss=0.205465, epoch loss=1.140540 Batch=359, step=5160, lr=0.178750, batch loss=0.271315, epoch loss=1.411855 Batch=419, step=5220, lr=0.178500, batch loss=0.265879, epoch loss=1.677734 Batch=479, step=5280, lr=0.178250, batch loss=0.240030, epoch loss=1.917764 Batch=539, step=5340, lr=0.178000, batch loss=0.193058, epoch loss=2.110822 Batch=599, step=5400, lr=0.177750, batch loss=0.230014, epoch loss=2.340836 Batch=659, step=5460, lr=0.177500, batch loss=0.326350, epoch loss=2.667186 Batch=719, step=5520, lr=0.177250, batch loss=0.328424, epoch loss=2.995609 Batch=779, step=5580, lr=0.176750, batch loss=0.343463, epoch loss=3.339073 Batch=839, step=5640, lr=0.176750, batch loss=0.308261, epoch loss=3.647333 Batch=899, step=5700, lr=0.176500, batch loss=0.272394, epoch loss=3.919727 Batch=959, step=5760, lr=0.176250, batch loss=0.215425, epoch loss=4.135152 Batch=1019, step=5820, lr=0.176000, batch loss=0.334021, epoch loss=4.469173 Batch=1079, step=5880, lr=0.175750, batch loss=0.189446, epoch loss=4.658619 Batch=1139, step=5940, lr=0.175500, batch loss=0.220958, epoch loss=4.879578 Batch=1199, step=6000, lr=0.175250, batch loss=0.187182, epoch loss=5.066760 Epoch=4, step=6000, lr=0.175250, epoch loss=5.066760 Batch=59, step=6060, lr=0.175000, batch loss=0.224346, epoch loss=0.224346 Batch=119, step=6120, lr=0.174750, batch loss=0.185271, epoch loss=0.409617 Batch=179, step=6180, lr=0.174500, batch loss=0.201462, epoch loss=0.611080 Batch=239, step=6240, lr=0.174250, batch loss=0.299762, epoch loss=0.910842 Batch=299, step=6300, lr=0.174000, batch loss=0.204512, epoch loss=1.115354 Batch=359, step=6360, lr=0.173750, batch loss=0.268623, epoch loss=1.383977 Batch=419, step=6420, lr=0.173500, batch loss=0.265410, epoch loss=1.649387 Batch=479, step=6480, lr=0.173250, batch loss=0.243464, epoch loss=1.892851 Batch=539, step=6540, lr=0.173000, batch loss=0.192961, epoch loss=2.085812 Batch=599, step=6600, lr=0.172750, batch loss=0.228681, epoch loss=2.314493 Batch=659, step=6660, lr=0.172500, batch loss=0.315073, epoch loss=2.629566 Batch=719, step=6720, lr=0.172000, batch loss=0.316252, epoch loss=2.945817 Batch=779, step=6780, lr=0.172000, batch loss=0.332044, epoch loss=3.277861 Batch=839, step=6840, lr=0.171750, batch loss=0.306590, epoch loss=3.584451 Batch=899, step=6900, lr=0.171500, batch loss=0.270427, epoch loss=3.854878 Batch=959, step=6960, lr=0.171250, batch loss=0.205862, epoch loss=4.060740 Batch=1019, step=7020, lr=0.171000, batch loss=0.327181, epoch loss=4.387921 Batch=1079, step=7080, lr=0.170750, batch loss=0.174203, epoch loss=4.562124 Batch=1139, step=7140, lr=0.170500, batch loss=0.212908, epoch loss=4.775032 Batch=1199, step=7200, lr=0.170000, batch loss=0.191306, epoch loss=4.966338 Epoch=5, step=7200, lr=0.170000, epoch loss=4.966338 Batch=59, step=7260, lr=0.170000, batch loss=0.226587, epoch loss=0.226587 Batch=119, step=7320, lr=0.169750, batch loss=0.188243, epoch loss=0.414830 Batch=179, step=7380, lr=0.169500, batch loss=0.194944, epoch loss=0.609774 Batch=239, step=7440, lr=0.169250, batch loss=0.292227, epoch loss=0.902000 Batch=299, step=7500, lr=0.169000, batch loss=0.206810, epoch loss=1.108810 Batch=359, step=7560, lr=0.168750, batch loss=0.262700, epoch loss=1.371511 Batch=419, step=7620, lr=0.168500, batch loss=0.254401, epoch loss=1.625911 Batch=479, step=7680, lr=0.168000, batch loss=0.233713, epoch loss=1.859625 Batch=539, step=7740, lr=0.168000, batch loss=0.185595, epoch loss=2.045220 Batch=599, step=7800, lr=0.167500, batch loss=0.225866, epoch loss=2.271086 Batch=659, step=7860, lr=0.167500, batch loss=0.305024, epoch loss=2.576110 Batch=719, step=7920, lr=0.167250, batch loss=0.310109, epoch loss=2.886219 Batch=779, step=7980, lr=0.167000, batch loss=0.329299, epoch loss=3.215518 Batch=839, step=8040, lr=0.166750, batch loss=0.292340, epoch loss=3.507858 Batch=899, step=8100, lr=0.166500, batch loss=0.258849, epoch loss=3.766708 Batch=959, step=8160, lr=0.166250, batch loss=0.202192, epoch loss=3.968900 Batch=1019, step=8220, lr=0.166000, batch loss=0.319614, epoch loss=4.288514 Batch=1079, step=8280, lr=0.165500, batch loss=0.169255, epoch loss=4.457769 Batch=1139, step=8340, lr=0.165500, batch loss=0.206386, epoch loss=4.664156 Batch=1199, step=8400, lr=0.165000, batch loss=0.182398, epoch loss=4.846553 Epoch=6, step=8400, lr=0.165000, epoch loss=4.846553 Batch=59, step=8460, lr=0.165000, batch loss=0.224703, epoch loss=0.224703 Batch=119, step=8520, lr=0.164750, batch loss=0.178388, epoch loss=0.403091 Batch=179, step=8580, lr=0.164500, batch loss=0.188156, epoch loss=0.591247 Batch=239, step=8640, lr=0.164250, batch loss=0.279051, epoch loss=0.870298 Batch=299, step=8700, lr=0.164000, batch loss=0.198958, epoch loss=1.069256 Batch=359, step=8760, lr=0.163750, batch loss=0.253420, epoch loss=1.322677 Batch=419, step=8820, lr=0.163500, batch loss=0.244055, epoch loss=1.566732 Batch=479, step=8880, lr=0.163250, batch loss=0.223771, epoch loss=1.790503 Batch=539, step=8940, lr=0.163000, batch loss=0.186336, epoch loss=1.976840 Batch=599, step=9000, lr=0.162750, batch loss=0.216788, epoch loss=2.193627 Batch=659, step=9060, lr=0.162250, batch loss=0.296101, epoch loss=2.489728 Batch=719, step=9120, lr=0.162000, batch loss=0.298758, epoch loss=2.788486 Batch=779, step=9180, lr=0.162000, batch loss=0.318496, epoch loss=3.106982 Batch=839, step=9240, lr=0.161750, batch loss=0.282664, epoch loss=3.389647 Batch=899, step=9300, lr=0.161250, batch loss=0.252889, epoch loss=3.642536 Batch=959, step=9360, lr=0.161250, batch loss=0.199724, epoch loss=3.842259 Batch=1019, step=9420, lr=0.161000, batch loss=0.309753, epoch loss=4.152013 Batch=1079, step=9480, lr=0.160750, batch loss=0.190140, epoch loss=4.342153 Batch=1139, step=9540, lr=0.160500, batch loss=0.212431, epoch loss=4.554584 Batch=1199, step=9600, lr=0.160250, batch loss=0.167750, epoch loss=4.722334 Epoch=7, step=9600, lr=0.160250, epoch loss=4.722334 Batch=59, step=9660, lr=0.160000, batch loss=0.202170, epoch loss=0.202170 Batch=119, step=9720, lr=0.159750, batch loss=0.164152, epoch loss=0.366322 Batch=179, step=9780, lr=0.159500, batch loss=0.179735, epoch loss=0.546057 Batch=239, step=9840, lr=0.159250, batch loss=0.264900, epoch loss=0.810956 Batch=299, step=9900, lr=0.159000, batch loss=0.182405, epoch loss=0.993361 Batch=359, step=9960, lr=0.158500, batch loss=0.247230, epoch loss=1.240591 Batch=419, step=10020, lr=0.158500, batch loss=0.251476, epoch loss=1.492068 Batch=479, step=10080, lr=0.158250, batch loss=0.219941, epoch loss=1.712008 Batch=539, step=10140, lr=0.158000, batch loss=0.170763, epoch loss=1.882771 Batch=599, step=10200, lr=0.157750, batch loss=0.208292, epoch loss=2.091063 Batch=659, step=10260, lr=0.157500, batch loss=0.279817, epoch loss=2.370880 Batch=719, step=10320, lr=0.157250, batch loss=0.276613, epoch loss=2.647493 Batch=779, step=10380, lr=0.157000, batch loss=0.297438, epoch loss=2.944931 Batch=839, step=10440, lr=0.156750, batch loss=0.273611, epoch loss=3.218542 Batch=899, step=10500, lr=0.156500, batch loss=0.238542, epoch loss=3.457084 Batch=959, step=10560, lr=0.156250, batch loss=0.179659, epoch loss=3.636743 Batch=1019, step=10620, lr=0.156000, batch loss=0.298760, epoch loss=3.935503 Batch=1079, step=10680, lr=0.155750, batch loss=0.180214, epoch loss=4.115717 Batch=1139, step=10740, lr=0.155500, batch loss=0.200558, epoch loss=4.316275 Batch=1199, step=10800, lr=0.155000, batch loss=0.157593, epoch loss=4.473868 Epoch=8, step=10800, lr=0.155000, epoch loss=4.473868 Batch=59, step=10860, lr=0.155000, batch loss=0.181391, epoch loss=0.181391 Batch=119, step=10920, lr=0.154500, batch loss=0.152984, epoch loss=0.334375 Batch=179, step=10980, lr=0.154500, batch loss=0.167815, epoch loss=0.502190 Batch=239, step=11040, lr=0.154250, batch loss=0.243247, epoch loss=0.745437 Batch=299, step=11100, lr=0.154000, batch loss=0.176452, epoch loss=0.921888 Batch=359, step=11160, lr=0.153750, batch loss=0.221714, epoch loss=1.143602 Batch=419, step=11220, lr=0.153500, batch loss=0.221037, epoch loss=1.364639 Batch=479, step=11280, lr=0.153250, batch loss=0.212581, epoch loss=1.577220 Batch=539, step=11340, lr=0.153000, batch loss=0.167455, epoch loss=1.744675 Batch=599, step=11400, lr=0.152750, batch loss=0.180241, epoch loss=1.924916 Batch=659, step=11460, lr=0.152500, batch loss=0.267965, epoch loss=2.192881 Batch=719, step=11520, lr=0.152250, batch loss=0.262073, epoch loss=2.454954 Batch=779, step=11580, lr=0.152000, batch loss=0.276928, epoch loss=2.731882 Batch=839, step=11640, lr=0.151750, batch loss=0.258704, epoch loss=2.990586 Batch=899, step=11700, lr=0.151500, batch loss=0.215944, epoch loss=3.206530 Batch=959, step=11760, lr=0.151250, batch loss=0.168277, epoch loss=3.374807 Batch=1019, step=11820, lr=0.151000, batch loss=0.272409, epoch loss=3.647217 Batch=1079, step=11880, lr=0.150750, batch loss=0.153295, epoch loss=3.800512 Batch=1139, step=11940, lr=0.150500, batch loss=0.185355, epoch loss=3.985867 Batch=1199, step=12000, lr=0.150250, batch loss=0.142636, epoch loss=4.128502 Epoch=9, step=12000, lr=0.150250, epoch loss=4.128502 Batch=59, step=12060, lr=0.150000, batch loss=0.162817, epoch loss=0.162817 Batch=119, step=12120, lr=0.149750, batch loss=0.130930, epoch loss=0.293748 Batch=179, step=12180, lr=0.149500, batch loss=0.155229, epoch loss=0.448976 Batch=239, step=12240, lr=0.149250, batch loss=0.226890, epoch loss=0.675867 Batch=299, step=12300, lr=0.149000, batch loss=0.147356, epoch loss=0.823222 Batch=359, step=12360, lr=0.148750, batch loss=0.197431, epoch loss=1.020653 Batch=419, step=12420, lr=0.148500, batch loss=0.210801, epoch loss=1.231453 Batch=479, step=12480, lr=0.148250, batch loss=0.181559, epoch loss=1.413012 Batch=539, step=12540, lr=0.148000, batch loss=0.146903, epoch loss=1.559915 Batch=599, step=12600, lr=0.147750, batch loss=0.157571, epoch loss=1.717486 Batch=659, step=12660, lr=0.147500, batch loss=0.238403, epoch loss=1.955889 Batch=719, step=12720, lr=0.147250, batch loss=0.228721, epoch loss=2.184609 Batch=779, step=12780, lr=0.147000, batch loss=0.244029, epoch loss=2.428638 Batch=839, step=12840, lr=0.146750, batch loss=0.232217, epoch loss=2.660854 Batch=899, step=12900, lr=0.146500, batch loss=0.194856, epoch loss=2.855711 Batch=959, step=12960, lr=0.146250, batch loss=0.167532, epoch loss=3.023242 Batch=1019, step=13020, lr=0.146000, batch loss=0.261456, epoch loss=3.284699 Batch=1079, step=13080, lr=0.145500, batch loss=0.123319, epoch loss=3.408018 Batch=1139, step=13140, lr=0.145250, batch loss=0.160357, epoch loss=3.568376 Batch=1199, step=13200, lr=0.145250, batch loss=0.121843, epoch loss=3.690218 Epoch=10, step=13200, lr=0.145250, epoch loss=3.690218 Batch=59, step=13260, lr=0.145000, batch loss=0.148611, epoch loss=0.148611 Batch=119, step=13320, lr=0.144750, batch loss=0.122114, epoch loss=0.270725 Batch=179, step=13380, lr=0.144250, batch loss=0.131778, epoch loss=0.402503 Batch=239, step=13440, lr=0.144250, batch loss=0.190092, epoch loss=0.592595 Batch=299, step=13500, lr=0.144000, batch loss=0.124887, epoch loss=0.717482 Batch=359, step=13560, lr=0.143500, batch loss=0.169208, epoch loss=0.886690 Batch=419, step=13620, lr=0.143500, batch loss=0.171865, epoch loss=1.058555 Batch=479, step=13680, lr=0.143250, batch loss=0.155283, epoch loss=1.213838 Batch=539, step=13740, lr=0.143000, batch loss=0.121649, epoch loss=1.335487 Batch=599, step=13800, lr=0.142750, batch loss=0.125943, epoch loss=1.461430 Batch=659, step=13860, lr=0.142250, batch loss=0.188315, epoch loss=1.649745 Batch=719, step=13920, lr=0.142250, batch loss=0.200223, epoch loss=1.849968 Batch=779, step=13980, lr=0.142000, batch loss=0.228945, epoch loss=2.078913 Batch=839, step=14040, lr=0.141750, batch loss=0.204282, epoch loss=2.283194 Batch=899, step=14100, lr=0.141500, batch loss=0.205120, epoch loss=2.488314 Batch=959, step=14160, lr=0.141250, batch loss=0.116474, epoch loss=2.604788 Batch=1019, step=14220, lr=0.141000, batch loss=0.205369, epoch loss=2.810157 Batch=1079, step=14280, lr=0.140750, batch loss=0.080279, epoch loss=2.890436 Batch=1139, step=14340, lr=0.140500, batch loss=0.121245, epoch loss=3.011680 Batch=1199, step=14400, lr=0.140250, batch loss=0.091309, epoch loss=3.102989 Epoch=11, step=14400, lr=0.140250, epoch loss=3.102989 Batch=59, step=14460, lr=0.139750, batch loss=0.117647, epoch loss=0.117647 Batch=119, step=14520, lr=0.139500, batch loss=0.115577, epoch loss=0.233224 Batch=179, step=14580, lr=0.139250, batch loss=0.107427, epoch loss=0.340651 Batch=239, step=14640, lr=0.139000, batch loss=0.149072, epoch loss=0.489722 Batch=299, step=14700, lr=0.138750, batch loss=0.086478, epoch loss=0.576201 Batch=359, step=14760, lr=0.138500, batch loss=0.129722, epoch loss=0.705923 Batch=419, step=14820, lr=0.138500, batch loss=0.128869, epoch loss=0.834792 Batch=479, step=14880, lr=0.138250, batch loss=0.116127, epoch loss=0.950920 Batch=539, step=14940, lr=0.138000, batch loss=0.109747, epoch loss=1.060667 Batch=599, step=15000, lr=0.137750, batch loss=0.089661, epoch loss=1.150328 Batch=659, step=15060, lr=0.137500, batch loss=0.134597, epoch loss=1.284925 Batch=719, step=15120, lr=0.137250, batch loss=0.131035, epoch loss=1.415960 Batch=779, step=15180, lr=0.136750, batch loss=0.133901, epoch loss=1.549861 Batch=839, step=15240, lr=0.136750, batch loss=0.155858, epoch loss=1.705718 Batch=899, step=15300, lr=0.136500, batch loss=0.229848, epoch loss=1.935566 Batch=959, step=15360, lr=0.136250, batch loss=0.066704, epoch loss=2.002270 Batch=1019, step=15420, lr=0.136000, batch loss=0.165904, epoch loss=2.168174 Batch=1079, step=15480, lr=0.135750, batch loss=0.053494, epoch loss=2.221669 Batch=1139, step=15540, lr=0.135500, batch loss=0.115351, epoch loss=2.337020 Batch=1199, step=15600, lr=0.135000, batch loss=0.063153, epoch loss=2.400172 Epoch=12, step=15600, lr=0.135000, epoch loss=2.400172 Batch=59, step=15660, lr=0.135000, batch loss=0.093768, epoch loss=0.093768 Batch=119, step=15720, lr=0.134750, batch loss=0.157394, epoch loss=0.251161 Batch=179, step=15780, lr=0.134500, batch loss=0.110390, epoch loss=0.361551 Batch=239, step=15840, lr=0.134250, batch loss=0.108735, epoch loss=0.470286 Batch=299, step=15900, lr=0.134000, batch loss=0.045556, epoch loss=0.515842 Batch=359, step=15960, lr=0.133750, batch loss=0.087864, epoch loss=0.603705 Batch=419, step=16020, lr=0.133500, batch loss=0.085498, epoch loss=0.689203 Batch=479, step=16080, lr=0.133250, batch loss=0.069816, epoch loss=0.759019 Batch=539, step=16140, lr=0.133000, batch loss=0.058205, epoch loss=0.817224 Batch=599, step=16200, lr=0.132750, batch loss=0.112141, epoch loss=0.929365 Batch=659, step=16260, lr=0.132500, batch loss=0.085057, epoch loss=1.014422 Batch=719, step=16320, lr=0.132250, batch loss=0.098590, epoch loss=1.113012 Batch=779, step=16380, lr=0.132000, batch loss=0.145884, epoch loss=1.258896 Batch=839, step=16440, lr=0.131750, batch loss=0.123759, epoch loss=1.382655 Batch=899, step=16500, lr=0.131500, batch loss=0.138272, epoch loss=1.520927 Batch=959, step=16560, lr=0.131250, batch loss=0.042403, epoch loss=1.563330 Batch=1019, step=16620, lr=0.131000, batch loss=0.106835, epoch loss=1.670164 Batch=1079, step=16680, lr=0.130500, batch loss=0.029247, epoch loss=1.699411 Batch=1139, step=16740, lr=0.130250, batch loss=0.057950, epoch loss=1.757360 Batch=1199, step=16800, lr=0.130250, batch loss=0.030134, epoch loss=1.787495 Epoch=13, step=16800, lr=0.130250, epoch loss=1.787495 Batch=59, step=16860, lr=0.129750, batch loss=0.045487, epoch loss=0.045487 Batch=119, step=16920, lr=0.129750, batch loss=0.074864, epoch loss=0.120350 Batch=179, step=16980, lr=0.129500, batch loss=0.058248, epoch loss=0.178599 Batch=239, step=17040, lr=0.129250, batch loss=0.065244, epoch loss=0.243842 Batch=299, step=17100, lr=0.128750, batch loss=0.028794, epoch loss=0.272636 Batch=359, step=17160, lr=0.128750, batch loss=0.053287, epoch loss=0.325923 Batch=419, step=17220, lr=0.128500, batch loss=0.084719, epoch loss=0.410643 Batch=479, step=17280, lr=0.128250, batch loss=0.030281, epoch loss=0.440923 Batch=539, step=17340, lr=0.128000, batch loss=0.029420, epoch loss=0.470344 Batch=599, step=17400, lr=0.127750, batch loss=0.037579, epoch loss=0.507923 Batch=659, step=17460, lr=0.127500, batch loss=0.051065, epoch loss=0.558987 Batch=719, step=17520, lr=0.127250, batch loss=0.049907, epoch loss=0.608894 Batch=779, step=17580, lr=0.127000, batch loss=0.084505, epoch loss=0.693399 Batch=839, step=17640, lr=0.126750, batch loss=0.169067, epoch loss=0.862467 Batch=899, step=17700, lr=0.126500, batch loss=0.068795, epoch loss=0.931261 Batch=959, step=17760, lr=0.126250, batch loss=0.027913, epoch loss=0.959175 Batch=1019, step=17820, lr=0.126000, batch loss=0.047899, epoch loss=1.007073 Batch=1079, step=17880, lr=0.125500, batch loss=0.018553, epoch loss=1.025626 Batch=1139, step=17940, lr=0.125500, batch loss=0.043579, epoch loss=1.069205 Batch=1199, step=18000, lr=0.125250, batch loss=0.018638, epoch loss=1.087843 Epoch=14, step=18000, lr=0.125250, epoch loss=1.087843 Batch=59, step=18060, lr=0.125000, batch loss=0.016247, epoch loss=0.016247 Batch=119, step=18120, lr=0.124500, batch loss=0.022387, epoch loss=0.038634 Batch=179, step=18180, lr=0.124500, batch loss=0.030493, epoch loss=0.069127 Batch=239, step=18240, lr=0.124250, batch loss=0.040960, epoch loss=0.110087 Batch=299, step=18300, lr=0.123750, batch loss=0.017535, epoch loss=0.127622 Batch=359, step=18360, lr=0.123500, batch loss=0.026780, epoch loss=0.154402 Batch=419, step=18420, lr=0.123500, batch loss=0.032010, epoch loss=0.186412 Batch=479, step=18480, lr=0.123250, batch loss=0.023955, epoch loss=0.210367 Batch=539, step=18540, lr=0.123000, batch loss=0.043159, epoch loss=0.253526 Batch=599, step=18600, lr=0.122750, batch loss=0.026967, epoch loss=0.280493 Batch=659, step=18660, lr=0.122500, batch loss=0.035356, epoch loss=0.315849 Batch=719, step=18720, lr=0.122250, batch loss=0.053403, epoch loss=0.369251 Batch=779, step=18780, lr=0.122000, batch loss=0.119120, epoch loss=0.488372 Batch=839, step=18840, lr=0.121750, batch loss=0.060990, epoch loss=0.549362 Batch=899, step=18900, lr=0.121500, batch loss=0.070521, epoch loss=0.619883 Batch=959, step=18960, lr=0.121000, batch loss=0.014011, epoch loss=0.633894 Batch=1019, step=19020, lr=0.121000, batch loss=0.018732, epoch loss=0.652626 Batch=1079, step=19080, lr=0.120750, batch loss=0.015308, epoch loss=0.667934 Batch=1139, step=19140, lr=0.120250, batch loss=0.032599, epoch loss=0.700533 Batch=1199, step=19200, lr=0.120250, batch loss=0.012801, epoch loss=0.713334 Epoch=15, step=19200, lr=0.120250, epoch loss=0.713334 Batch=59, step=19260, lr=0.120000, batch loss=0.011893, epoch loss=0.011893 Batch=119, step=19320, lr=0.119750, batch loss=0.022280, epoch loss=0.034172 Batch=179, step=19380, lr=0.119500, batch loss=0.065392, epoch loss=0.099565 Batch=239, step=19440, lr=0.119250, batch loss=0.027599, epoch loss=0.127164 Batch=299, step=19500, lr=0.119000, batch loss=0.008958, epoch loss=0.136122 Batch=359, step=19560, lr=0.118750, batch loss=0.024322, epoch loss=0.160444 Batch=419, step=19620, lr=0.118500, batch loss=0.021334, epoch loss=0.181778 Batch=479, step=19680, lr=0.118250, batch loss=0.007704, epoch loss=0.189482 Batch=539, step=19740, lr=0.118000, batch loss=0.017643, epoch loss=0.207125 Batch=599, step=19800, lr=0.117750, batch loss=0.024774, epoch loss=0.231899 Batch=659, step=19860, lr=0.117500, batch loss=0.022739, epoch loss=0.254638 Batch=719, step=19920, lr=0.117250, batch loss=0.045527, epoch loss=0.300165 Batch=779, step=19980, lr=0.117000, batch loss=0.089852, epoch loss=0.390017 Batch=839, step=20040, lr=0.116750, batch loss=0.033260, epoch loss=0.423277 Batch=899, step=20100, lr=0.116500, batch loss=0.030967, epoch loss=0.454244 Batch=959, step=20160, lr=0.116250, batch loss=0.010884, epoch loss=0.465127 Batch=1019, step=20220, lr=0.116000, batch loss=0.018838, epoch loss=0.483965 Batch=1079, step=20280, lr=0.115750, batch loss=0.004549, epoch loss=0.488514 Batch=1139, step=20340, lr=0.115500, batch loss=0.017358, epoch loss=0.505872 Batch=1199, step=20400, lr=0.115250, batch loss=0.008022, epoch loss=0.513895 Epoch=16, step=20400, lr=0.115250, epoch loss=0.513895 Batch=59, step=20460, lr=0.115000, batch loss=0.003866, epoch loss=0.003866 Batch=119, step=20520, lr=0.114750, batch loss=0.008588, epoch loss=0.012454 Batch=179, step=20580, lr=0.114250, batch loss=0.015963, epoch loss=0.028416 Batch=239, step=20640, lr=0.114250, batch loss=0.013743, epoch loss=0.042159 Batch=299, step=20700, lr=0.114000, batch loss=0.003429, epoch loss=0.045588 Batch=359, step=20760, lr=0.113750, batch loss=0.014645, epoch loss=0.060233 Batch=419, step=20820, lr=0.113500, batch loss=0.015736, epoch loss=0.075970 Batch=479, step=20880, lr=0.113250, batch loss=0.006731, epoch loss=0.082701 Batch=539, step=20940, lr=0.113000, batch loss=0.017369, epoch loss=0.100070 Batch=599, step=21000, lr=0.112750, batch loss=0.018510, epoch loss=0.118580 Batch=659, step=21060, lr=0.112500, batch loss=0.012733, epoch loss=0.131313 Batch=719, step=21120, lr=0.112250, batch loss=0.030269, epoch loss=0.161581 Batch=779, step=21180, lr=0.112000, batch loss=0.052249, epoch loss=0.213831 Batch=839, step=21240, lr=0.111750, batch loss=0.025681, epoch loss=0.239512 Batch=899, step=21300, lr=0.111500, batch loss=0.024784, epoch loss=0.264296 Batch=959, step=21360, lr=0.111250, batch loss=0.014827, epoch loss=0.279123 Batch=1019, step=21420, lr=0.111000, batch loss=0.015008, epoch loss=0.294131 Batch=1079, step=21480, lr=0.110750, batch loss=0.001450, epoch loss=0.295581 Batch=1139, step=21540, lr=0.110500, batch loss=0.013372, epoch loss=0.308953 Batch=1199, step=21600, lr=0.110250, batch loss=0.005267, epoch loss=0.314220 Epoch=17, step=21600, lr=0.110250, epoch loss=0.314220 Batch=59, step=21660, lr=0.110000, batch loss=0.002855, epoch loss=0.002855 Batch=119, step=21720, lr=0.109750, batch loss=0.007130, epoch loss=0.009985 Batch=179, step=21780, lr=0.109500, batch loss=0.012808, epoch loss=0.022793 Batch=239, step=21840, lr=0.109250, batch loss=0.009667, epoch loss=0.032460 Batch=299, step=21900, lr=0.109000, batch loss=0.008857, epoch loss=0.041317 Batch=359, step=21960, lr=0.108750, batch loss=0.015381, epoch loss=0.056698 Batch=419, step=22020, lr=0.108250, batch loss=0.012804, epoch loss=0.069503 Batch=479, step=22080, lr=0.108250, batch loss=0.003719, epoch loss=0.073222 Batch=539, step=22140, lr=0.108000, batch loss=0.016098, epoch loss=0.089320 Batch=599, step=22200, lr=0.107750, batch loss=0.016118, epoch loss=0.105437 Batch=659, step=22260, lr=0.107500, batch loss=0.014966, epoch loss=0.120404 Batch=719, step=22320, lr=0.107250, batch loss=0.026736, epoch loss=0.147140 Batch=779, step=22380, lr=0.106750, batch loss=0.044037, epoch loss=0.191178 Batch=839, step=22440, lr=0.106750, batch loss=0.021239, epoch loss=0.212417 Batch=899, step=22500, lr=0.106500, batch loss=0.022209, epoch loss=0.234626 Batch=959, step=22560, lr=0.106250, batch loss=0.010475, epoch loss=0.245101 Batch=1019, step=22620, lr=0.106000, batch loss=0.009683, epoch loss=0.254785 Batch=1079, step=22680, lr=0.105750, batch loss=0.001097, epoch loss=0.255882 Batch=1139, step=22740, lr=0.105500, batch loss=0.011387, epoch loss=0.267269 Batch=1199, step=22800, lr=0.105250, batch loss=0.004599, epoch loss=0.271868 Epoch=18, step=22800, lr=0.105250, epoch loss=0.271868 Batch=59, step=22860, lr=0.105000, batch loss=0.001817, epoch loss=0.001817 Batch=119, step=22920, lr=0.104750, batch loss=0.005677, epoch loss=0.007494 Batch=179, step=22980, lr=0.104250, batch loss=0.011206, epoch loss=0.018700 Batch=239, step=23040, lr=0.104250, batch loss=0.011104, epoch loss=0.029803 Batch=299, step=23100, lr=0.104000, batch loss=0.008858, epoch loss=0.038661 Batch=359, step=23160, lr=0.103750, batch loss=0.010967, epoch loss=0.049628 Batch=419, step=23220, lr=0.103500, batch loss=0.010896, epoch loss=0.060524 Batch=479, step=23280, lr=0.103250, batch loss=0.004269, epoch loss=0.064793 Batch=539, step=23340, lr=0.103000, batch loss=0.014249, epoch loss=0.079041 Batch=599, step=23400, lr=0.102750, batch loss=0.014611, epoch loss=0.093653 Batch=659, step=23460, lr=0.102500, batch loss=0.015486, epoch loss=0.109139 Batch=719, step=23520, lr=0.102250, batch loss=0.016638, epoch loss=0.125777 Batch=779, step=23580, lr=0.102000, batch loss=0.020752, epoch loss=0.146529 Batch=839, step=23640, lr=0.101750, batch loss=0.025540, epoch loss=0.172070 Batch=899, step=23700, lr=0.101500, batch loss=0.022886, epoch loss=0.194956 Batch=959, step=23760, lr=0.101250, batch loss=0.007771, epoch loss=0.202727 Batch=1019, step=23820, lr=0.101000, batch loss=0.006643, epoch loss=0.209370 Batch=1079, step=23880, lr=0.100750, batch loss=0.001570, epoch loss=0.210940 Batch=1139, step=23940, lr=0.100500, batch loss=0.008301, epoch loss=0.219241 Batch=1199, step=24000, lr=0.100000, batch loss=0.004314, epoch loss=0.223554 Epoch=19, step=24000, lr=0.100000, epoch loss=0.223554 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 2025-05-16 15:27.04: Job failed: Failed: Build failed