2025-05-19 16:39.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (33efa3b22f0833f85bad4a3f7df8cc8ab9e57b82) (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 33efa3b2 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 2025-05-19 16:39.10: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-19 16:39.10: 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")) ) 2025-05-19 16:39.10: Waiting for resource in pool OCluster 2025-05-19 16:39.10: Waiting for worker… 2025-05-19 16:40.09: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-19 16:41.27 ---> using "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" from cache /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 openh264 (From Cisco) - x86_ 100% | 5.7 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% | 178.8 KiB/s | 24.0 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 291.8 KiB/s | 10.1 MiB | 00m36s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-19 16:41.27 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-19 16:41.27 ---> 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. 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 2025-05-19 16:41.27 ---> 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 2025-05-19 16:41.27 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-19 16:41.27 ---> 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..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) 2025-05-19 16:41.27 ---> using "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-19 16:41.27 ---> using "b959751774b96fd56fa07ab914c7f680d6f2ab5d253b3cbc00f44b29e874cafd" from cache /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) 2025-05-19 16:41.27 ---> using "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-19 16:41.27 ---> using "45e1ac33b7920d781d1beb4d6f77c9934823b68dbecf868e72ec27d1816c58dd" from cache /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% | 355.1 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 80.1 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 20.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 274.0 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-19 16:41.27 ---> using "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd" from cache /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 bigstringaf.0.10.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (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 ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed thread-local-storage.0.2 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed 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 ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> 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_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) 2025-05-19 16:43.51 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-19 16:43.52 ---> saved as "c76f1f7459504d6004af4158e4b2ee01685cda05c452b022e5526a5858ae0977" /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/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/684f8046470dabdd015ed50f4d67b070/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-29, characters 0-281: 19 | (rule 20 | (alias runtest) 21 | (target 22 | (dir log_files)) 23 | (action 24 | (run 25 | %{dep:micrograd_demo_logging.exe} 26 | "--ocannl_debug_backend=text" 27 | "--ocannl_log_file_stem=micrograd_demo_logging" 28 | "--ocannl_log_main_domain_to_stdout=false" 29 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_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/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ee4b7922007b2102ad4fdccc02bc518c/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/ee4b7922007b2102ad4fdccc02bc518c/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_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=0.197500, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483159, epoch loss=42.079422 Batch=719, step=720, lr=0.197250, batch loss=0.411270, epoch loss=42.490693 Batch=779, step=780, lr=0.197000, batch loss=0.468667, epoch loss=42.959359 Batch=839, step=840, lr=0.196750, batch loss=0.443271, epoch loss=43.402630 Batch=899, step=900, lr=0.196500, batch loss=0.383468, epoch loss=43.786097 Batch=959, step=960, lr=0.196250, batch loss=0.243130, epoch loss=44.029228 Batch=1019, step=1020, lr=0.196000, batch loss=0.454346, epoch loss=44.483574 Batch=1079, step=1080, lr=0.195750, batch loss=0.254510, epoch loss=44.738084 Batch=1139, step=1140, lr=0.195500, batch loss=0.335722, epoch loss=45.073805 Batch=1199, step=1200, lr=0.195250, batch loss=0.262193, epoch loss=45.335999 Epoch=0, step=1200, lr=0.195250, epoch loss=45.335999 Batch=59, step=1260, lr=0.195000, batch loss=0.261045, epoch loss=0.261045 Batch=119, step=1320, lr=0.194750, batch loss=0.206699, epoch loss=0.467744 Batch=179, step=1380, lr=0.194500, batch loss=0.246679, epoch loss=0.714423 Batch=239, step=1440, lr=0.194250, batch loss=0.352039, epoch loss=1.066462 Batch=299, step=1500, lr=0.194000, batch loss=0.235594, epoch loss=1.302055 Batch=359, step=1560, lr=0.193750, batch loss=0.312377, epoch loss=1.614433 Batch=419, step=1620, lr=0.193500, batch loss=0.308873, epoch loss=1.923306 Batch=479, step=1680, lr=0.193250, batch loss=0.273485, epoch loss=2.196791 Batch=539, step=1740, lr=0.193000, batch loss=0.210755, epoch loss=2.407545 Batch=599, step=1800, lr=0.192750, batch loss=0.250642, epoch loss=2.658188 Batch=659, step=1860, lr=0.192500, batch loss=0.369431, epoch loss=3.027618 Batch=719, step=1920, lr=0.192250, batch loss=0.365623, epoch loss=3.393241 Batch=779, step=1980, lr=0.191750, batch loss=0.383866, epoch loss=3.777107 Batch=839, step=2040, lr=0.191750, batch loss=0.341822, epoch loss=4.118929 Batch=899, step=2100, lr=0.191500, batch loss=0.302510, epoch loss=4.421439 Batch=959, step=2160, lr=0.191250, batch loss=0.225127, epoch loss=4.646566 Batch=1019, step=2220, lr=0.191000, batch loss=0.321684, epoch loss=4.968250 Batch=1079, step=2280, lr=0.190750, batch loss=0.187954, epoch loss=5.156204 Batch=1139, step=2340, lr=0.190500, batch loss=0.251861, epoch loss=5.408065 Batch=1199, step=2400, lr=0.190250, batch loss=0.211063, epoch loss=5.619128 Epoch=1, step=2400, lr=0.190250, epoch loss=5.619128 Batch=59, step=2460, lr=0.190000, batch loss=0.226089, epoch loss=0.226089 Batch=119, step=2520, lr=0.189750, batch loss=0.192426, epoch loss=0.418515 Batch=179, step=2580, lr=0.189500, batch loss=0.218436, epoch loss=0.636951 Batch=239, step=2640, lr=0.189250, batch loss=0.326438, epoch loss=0.963389 Batch=299, step=2700, lr=0.189000, batch loss=0.222205, epoch loss=1.185594 Batch=359, step=2760, lr=0.188750, batch loss=0.297583, epoch loss=1.483177 Batch=419, step=2820, lr=0.188500, batch loss=0.290295, epoch loss=1.773472 Batch=479, step=2880, lr=0.188250, batch loss=0.268280, epoch loss=2.041752 Batch=539, step=2940, lr=0.188000, batch loss=0.205917, epoch loss=2.247669 Batch=599, step=3000, lr=0.187750, batch loss=0.257675, epoch loss=2.505345 Batch=659, step=3060, lr=0.187500, batch loss=0.357848, epoch loss=2.863193 Batch=719, step=3120, lr=0.187250, batch loss=0.350944, epoch loss=3.214137 Batch=779, step=3180, lr=0.187000, batch loss=0.360513, epoch loss=3.574651 Batch=839, step=3240, lr=0.186750, batch loss=0.327478, epoch loss=3.902128 Batch=899, step=3300, lr=0.186500, batch loss=0.291519, epoch loss=4.193647 Batch=959, step=3360, lr=0.186250, batch loss=0.230831, epoch loss=4.424478 Batch=1019, step=3420, lr=0.186000, batch loss=0.348948, epoch loss=4.773425 Batch=1079, step=3480, lr=0.185750, batch loss=0.222354, epoch loss=4.995779 Batch=1139, step=3540, lr=0.185500, batch loss=0.264567, epoch loss=5.260346 Batch=1199, step=3600, lr=0.185250, batch loss=0.198963, epoch loss=5.459309 Epoch=2, step=3600, lr=0.185250, epoch loss=5.459309 Batch=59, step=3660, lr=0.185000, batch loss=0.226094, epoch loss=0.226094 Batch=119, step=3720, lr=0.184750, batch loss=0.186715, epoch loss=0.412808 Batch=179, step=3780, lr=0.184500, batch loss=0.212971, epoch loss=0.625780 Batch=239, step=3840, lr=0.184250, batch loss=0.317545, epoch loss=0.943325 Batch=299, step=3900, lr=0.184000, batch loss=0.212111, epoch loss=1.155435 Batch=359, step=3960, lr=0.183750, batch loss=0.293170, epoch loss=1.448606 Batch=419, step=4020, lr=0.183500, batch loss=0.302318, epoch loss=1.750924 Batch=479, step=4080, lr=0.183250, batch loss=0.255649, epoch loss=2.006573 Batch=539, step=4140, lr=0.183000, batch loss=0.199572, epoch loss=2.206145 Batch=599, step=4200, lr=0.182750, batch loss=0.237052, epoch loss=2.443197 Batch=659, step=4260, lr=0.182500, batch loss=0.332235, epoch loss=2.775432 Batch=719, step=4320, lr=0.182250, batch loss=0.338435, epoch loss=3.113867 Batch=779, step=4380, lr=0.182000, batch loss=0.351993, epoch loss=3.465860 Batch=839, step=4440, lr=0.181750, batch loss=0.317162, epoch loss=3.783022 Batch=899, step=4500, lr=0.181500, batch loss=0.285457, epoch loss=4.068479 Batch=959, step=4560, lr=0.181250, batch loss=0.224115, epoch loss=4.292594 Batch=1019, step=4620, lr=0.181000, batch loss=0.331858, epoch loss=4.624452 Batch=1079, step=4680, lr=0.180750, batch loss=0.188459, epoch loss=4.812910 Batch=1139, step=4740, lr=0.180500, batch loss=0.223829, epoch loss=5.036739 Batch=1199, step=4800, lr=0.180250, batch loss=0.194447, epoch loss=5.231186 Epoch=3, step=4800, lr=0.180250, epoch loss=5.231186 Batch=59, step=4860, lr=0.180000, batch loss=0.238383, epoch loss=0.238383 Batch=119, step=4920, lr=0.179750, batch loss=0.199351, epoch loss=0.437733 Batch=179, step=4980, lr=0.179500, batch loss=0.206831, epoch loss=0.644564 Batch=239, step=5040, lr=0.179250, batch loss=0.307723, epoch loss=0.952287 Batch=299, step=5100, lr=0.179000, batch loss=0.201319, epoch loss=1.153607 Batch=359, step=5160, lr=0.178500, batch loss=0.273974, epoch loss=1.427580 Batch=419, step=5220, lr=0.178250, batch loss=0.265347, epoch loss=1.692927 Batch=479, step=5280, lr=0.178250, batch loss=0.240500, epoch loss=1.933427 Batch=539, step=5340, lr=0.177750, batch loss=0.189752, epoch loss=2.123179 Batch=599, step=5400, lr=0.177750, batch loss=0.231404, epoch loss=2.354583 Batch=659, step=5460, lr=0.177500, batch loss=0.324588, epoch loss=2.679170 Batch=719, step=5520, lr=0.177250, batch loss=0.326079, epoch loss=3.005249 Batch=779, step=5580, lr=0.177000, batch loss=0.348953, epoch loss=3.354203 Batch=839, step=5640, lr=0.176750, batch loss=0.306560, epoch loss=3.660762 Batch=899, step=5700, lr=0.176500, batch loss=0.266785, epoch loss=3.927547 Batch=959, step=5760, lr=0.176000, batch loss=0.201731, epoch loss=4.129279 Batch=1019, step=5820, lr=0.176000, batch loss=0.300673, epoch loss=4.429952 Batch=1079, step=5880, lr=0.175750, batch loss=0.181444, epoch loss=4.611395 Batch=1139, step=5940, lr=0.175250, batch loss=0.220702, epoch loss=4.832098 Batch=1199, step=6000, lr=0.175000, batch loss=0.185216, epoch loss=5.017313 Epoch=4, step=6000, lr=0.175000, epoch loss=5.017313 Batch=59, step=6060, lr=0.175000, batch loss=0.218235, epoch loss=0.218235 Batch=119, step=6120, lr=0.174500, batch loss=0.189478, epoch loss=0.407714 Batch=179, step=6180, lr=0.174250, batch loss=0.200512, epoch loss=0.608226 Batch=239, step=6240, lr=0.174000, batch loss=0.299844, epoch loss=0.908070 Batch=299, step=6300, lr=0.174000, batch loss=0.203718, epoch loss=1.111787 Batch=359, step=6360, lr=0.173750, batch loss=0.261659, epoch loss=1.373446 Batch=419, step=6420, lr=0.173250, batch loss=0.257979, epoch loss=1.631425 Batch=479, step=6480, lr=0.173250, batch loss=0.230962, epoch loss=1.862387 Batch=539, step=6540, lr=0.173000, batch loss=0.187194, epoch loss=2.049581 Batch=599, step=6600, lr=0.172750, batch loss=0.229282, epoch loss=2.278863 Batch=659, step=6660, lr=0.172500, batch loss=0.315142, epoch loss=2.594005 Batch=719, step=6720, lr=0.172250, batch loss=0.318259, epoch loss=2.912264 Batch=779, step=6780, lr=0.171750, batch loss=0.329883, epoch loss=3.242147 Batch=839, step=6840, lr=0.171750, batch loss=0.306732, epoch loss=3.548879 Batch=899, step=6900, lr=0.171250, batch loss=0.267419, epoch loss=3.816298 Batch=959, step=6960, lr=0.171000, batch loss=0.210814, epoch loss=4.027112 Batch=1019, step=7020, lr=0.170750, batch loss=0.327942, epoch loss=4.355054 Batch=1079, step=7080, lr=0.170750, batch loss=0.186170, epoch loss=4.541225 Batch=1139, step=7140, lr=0.170250, batch loss=0.218751, epoch loss=4.759976 Batch=1199, step=7200, lr=0.170250, batch loss=0.185261, epoch loss=4.945237 Epoch=5, step=7200, lr=0.170250, epoch loss=4.945237 Batch=59, step=7260, lr=0.170000, batch loss=0.235704, epoch loss=0.235704 Batch=119, step=7320, lr=0.169750, batch loss=0.182687, epoch loss=0.418391 Batch=179, step=7380, lr=0.169500, batch loss=0.195568, epoch loss=0.613959 Batch=239, step=7440, lr=0.169250, batch loss=0.294463, epoch loss=0.908421 Batch=299, step=7500, lr=0.169000, batch loss=0.204312, epoch loss=1.112733 Batch=359, step=7560, lr=0.168750, batch loss=0.265053, epoch loss=1.377786 Batch=419, step=7620, lr=0.168500, batch loss=0.254264, epoch loss=1.632049 Batch=479, step=7680, lr=0.168250, batch loss=0.239807, epoch loss=1.871857 Batch=539, step=7740, lr=0.168000, batch loss=0.184644, epoch loss=2.056501 Batch=599, step=7800, lr=0.167750, batch loss=0.226180, epoch loss=2.282681 Batch=659, step=7860, lr=0.167500, batch loss=0.305375, epoch loss=2.588056 Batch=719, step=7920, lr=0.167250, batch loss=0.308468, epoch loss=2.896524 Batch=779, step=7980, lr=0.167000, batch loss=0.321497, epoch loss=3.218021 Batch=839, step=8040, lr=0.166750, batch loss=0.296961, epoch loss=3.514982 Batch=899, step=8100, lr=0.166500, batch loss=0.263477, epoch loss=3.778459 Batch=959, step=8160, lr=0.166250, batch loss=0.213163, epoch loss=3.991622 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.305655 Batch=1079, step=8280, lr=0.165750, batch loss=0.176353, epoch loss=4.482008 Batch=1139, step=8340, lr=0.165500, batch loss=0.209487, epoch loss=4.691494 Batch=1199, step=8400, lr=0.165250, batch loss=0.177490, epoch loss=4.868984 Epoch=6, step=8400, lr=0.165250, epoch loss=4.868984 Batch=59, step=8460, lr=0.164750, batch loss=0.229878, epoch loss=0.229878 Batch=119, step=8520, lr=0.164500, batch loss=0.174972, epoch loss=0.404849 Batch=179, step=8580, lr=0.164250, batch loss=0.187618, epoch loss=0.592467 Batch=239, step=8640, lr=0.164000, batch loss=0.278198, epoch loss=0.870666 Batch=299, step=8700, lr=0.163750, batch loss=0.191718, epoch loss=1.062384 Batch=359, step=8760, lr=0.163750, batch loss=0.248614, epoch loss=1.310998 Batch=419, step=8820, lr=0.163250, batch loss=0.244932, epoch loss=1.555930 Batch=479, step=8880, lr=0.163250, batch loss=0.228555, epoch loss=1.784485 Batch=539, step=8940, lr=0.163000, batch loss=0.177837, epoch loss=1.962322 Batch=599, step=9000, lr=0.162750, batch loss=0.218052, epoch loss=2.180374 Batch=659, step=9060, lr=0.162500, batch loss=0.292619, epoch loss=2.472993 Batch=719, step=9120, lr=0.162250, batch loss=0.297593, epoch loss=2.770586 Batch=779, step=9180, lr=0.162000, batch loss=0.313816, epoch loss=3.084402 Batch=839, step=9240, lr=0.161750, batch loss=0.281921, epoch loss=3.366323 Batch=899, step=9300, lr=0.161500, batch loss=0.251415, epoch loss=3.617738 Batch=959, step=9360, lr=0.161250, batch loss=0.188779, epoch loss=3.806517 Batch=1019, step=9420, lr=0.161000, batch loss=0.318831, epoch loss=4.125348 Batch=1079, step=9480, lr=0.160750, batch loss=0.199108, epoch loss=4.324455 Batch=1139, step=9540, lr=0.160500, batch loss=0.212240, epoch loss=4.536695 Batch=1199, step=9600, lr=0.160250, batch loss=0.167182, epoch loss=4.703877 Epoch=7, step=9600, lr=0.160250, epoch loss=4.703877 Batch=59, step=9660, lr=0.160000, batch loss=0.198402, epoch loss=0.198402 Batch=119, step=9720, lr=0.159750, batch loss=0.164391, epoch loss=0.362793 Batch=179, step=9780, lr=0.159500, batch loss=0.178441, epoch loss=0.541234 Batch=239, step=9840, lr=0.159250, batch loss=0.261859, epoch loss=0.803093 Batch=299, step=9900, lr=0.159000, batch loss=0.182166, epoch loss=0.985259 Batch=359, step=9960, lr=0.158750, batch loss=0.240250, epoch loss=1.225509 Batch=419, step=10020, lr=0.158500, batch loss=0.232507, epoch loss=1.458015 Batch=479, step=10080, lr=0.158250, batch loss=0.212973, epoch loss=1.670988 Batch=539, step=10140, lr=0.158000, batch loss=0.170930, epoch loss=1.841919 Batch=599, step=10200, lr=0.157750, batch loss=0.201435, epoch loss=2.043354 Batch=659, step=10260, lr=0.157250, batch loss=0.282090, epoch loss=2.325444 Batch=719, step=10320, lr=0.157250, batch loss=0.284454, epoch loss=2.609898 Batch=779, step=10380, lr=0.157000, batch loss=0.295414, epoch loss=2.905312 Batch=839, step=10440, lr=0.156750, batch loss=0.272994, epoch loss=3.178305 Batch=899, step=10500, lr=0.156500, batch loss=0.235790, epoch loss=3.414095 Batch=959, step=10560, lr=0.156250, batch loss=0.181382, epoch loss=3.595477 Batch=1019, step=10620, lr=0.156000, batch loss=0.297898, epoch loss=3.893374 Batch=1079, step=10680, lr=0.155750, batch loss=0.178469, epoch loss=4.071843 Batch=1139, step=10740, lr=0.155500, batch loss=0.205121, epoch loss=4.276965 Batch=1199, step=10800, lr=0.155250, batch loss=0.155518, epoch loss=4.432483 Epoch=8, step=10800, lr=0.155250, epoch loss=4.432483 Batch=59, step=10860, lr=0.155000, batch loss=0.178639, epoch loss=0.178639 Batch=119, step=10920, lr=0.154750, batch loss=0.150961, epoch loss=0.329600 Batch=179, step=10980, lr=0.154250, batch loss=0.167916, epoch loss=0.497516 Batch=239, step=11040, lr=0.154250, batch loss=0.248092, epoch loss=0.745608 Batch=299, step=11100, lr=0.154000, batch loss=0.165865, epoch loss=0.911473 Batch=359, step=11160, lr=0.153750, batch loss=0.222473, epoch loss=1.133946 Batch=419, step=11220, lr=0.153500, batch loss=0.227407, epoch loss=1.361353 Batch=479, step=11280, lr=0.153250, batch loss=0.202521, epoch loss=1.563874 Batch=539, step=11340, lr=0.153000, batch loss=0.158762, epoch loss=1.722636 Batch=599, step=11400, lr=0.152750, batch loss=0.178609, epoch loss=1.901244 Batch=659, step=11460, lr=0.152500, batch loss=0.265433, epoch loss=2.166677 Batch=719, step=11520, lr=0.152250, batch loss=0.252414, epoch loss=2.419091 Batch=779, step=11580, lr=0.152000, batch loss=0.273698, epoch loss=2.692789 Batch=839, step=11640, lr=0.151750, batch loss=0.253664, epoch loss=2.946453 Batch=899, step=11700, lr=0.151500, batch loss=0.212992, epoch loss=3.159445 Batch=959, step=11760, lr=0.151250, batch loss=0.167039, epoch loss=3.326483 Batch=1019, step=11820, lr=0.151000, batch loss=0.267609, epoch loss=3.594092 Batch=1079, step=11880, lr=0.150750, batch loss=0.149017, epoch loss=3.743109 Batch=1139, step=11940, lr=0.150500, batch loss=0.185890, epoch loss=3.928999 Batch=1199, step=12000, lr=0.150250, batch loss=0.138560, epoch loss=4.067560 Epoch=9, step=12000, lr=0.150250, epoch loss=4.067560 Batch=59, step=12060, lr=0.150000, batch loss=0.157260, epoch loss=0.157260 Batch=119, step=12120, lr=0.149750, batch loss=0.127865, epoch loss=0.285124 Batch=179, step=12180, lr=0.149500, batch loss=0.152378, epoch loss=0.437502 Batch=239, step=12240, lr=0.149250, batch loss=0.217979, epoch loss=0.655481 Batch=299, step=12300, lr=0.149000, batch loss=0.139889, epoch loss=0.795370 Batch=359, step=12360, lr=0.148750, batch loss=0.196115, epoch loss=0.991485 Batch=419, step=12420, lr=0.148500, batch loss=0.207121, epoch loss=1.198606 Batch=479, step=12480, lr=0.148250, batch loss=0.177239, epoch loss=1.375845 Batch=539, step=12540, lr=0.148000, batch loss=0.143040, epoch loss=1.518885 Batch=599, step=12600, lr=0.147750, batch loss=0.149358, epoch loss=1.668242 Batch=659, step=12660, lr=0.147500, batch loss=0.224533, epoch loss=1.892776 Batch=719, step=12720, lr=0.147250, batch loss=0.232616, epoch loss=2.125392 Batch=779, step=12780, lr=0.147000, batch loss=0.253588, epoch loss=2.378980 Batch=839, step=12840, lr=0.146750, batch loss=0.234458, epoch loss=2.613438 Batch=899, step=12900, lr=0.146500, batch loss=0.229395, epoch loss=2.842833 Batch=959, step=12960, lr=0.146250, batch loss=0.141184, epoch loss=2.984018 Batch=1019, step=13020, lr=0.146000, batch loss=0.234896, epoch loss=3.218913 Batch=1079, step=13080, lr=0.145750, batch loss=0.107408, epoch loss=3.326322 Batch=1139, step=13140, lr=0.145500, batch loss=0.149054, epoch loss=3.475376 Batch=1199, step=13200, lr=0.145250, batch loss=0.116019, epoch loss=3.591395 Epoch=10, step=13200, lr=0.145250, epoch loss=3.591395 Batch=59, step=13260, lr=0.145000, batch loss=0.138855, epoch loss=0.138855 Batch=119, step=13320, lr=0.144750, batch loss=0.122010, epoch loss=0.260865 Batch=179, step=13380, lr=0.144500, batch loss=0.128432, epoch loss=0.389297 Batch=239, step=13440, lr=0.144250, batch loss=0.194520, epoch loss=0.583817 Batch=299, step=13500, lr=0.144000, batch loss=0.130262, epoch loss=0.714079 Batch=359, step=13560, lr=0.143750, batch loss=0.157578, epoch loss=0.871657 Batch=419, step=13620, lr=0.143500, batch loss=0.159128, epoch loss=1.030785 Batch=479, step=13680, lr=0.143250, batch loss=0.146336, epoch loss=1.177121 Batch=539, step=13740, lr=0.143000, batch loss=0.119326, epoch loss=1.296447 Batch=599, step=13800, lr=0.142750, batch loss=0.119109, epoch loss=1.415556 Batch=659, step=13860, lr=0.142500, batch loss=0.176180, epoch loss=1.591736 Batch=719, step=13920, lr=0.142250, batch loss=0.172333, epoch loss=1.764069 Batch=779, step=13980, lr=0.142000, batch loss=0.177806, epoch loss=1.941875 Batch=839, step=14040, lr=0.141750, batch loss=0.179401, epoch loss=2.121277 Batch=899, step=14100, lr=0.141500, batch loss=0.154125, epoch loss=2.275401 Batch=959, step=14160, lr=0.141250, batch loss=0.140890, epoch loss=2.416291 Batch=1019, step=14220, lr=0.141000, batch loss=0.340704, epoch loss=2.756996 Batch=1079, step=14280, lr=0.140750, batch loss=0.077224, epoch loss=2.834219 Batch=1139, step=14340, lr=0.140500, batch loss=0.123752, epoch loss=2.957971 Batch=1199, step=14400, lr=0.140250, batch loss=0.091973, epoch loss=3.049945 Epoch=11, step=14400, lr=0.140250, epoch loss=3.049945 Batch=59, step=14460, lr=0.140000, batch loss=0.123718, epoch loss=0.123718 Batch=119, step=14520, lr=0.139750, batch loss=0.119939, epoch loss=0.243657 Batch=179, step=14580, lr=0.139500, batch loss=0.113136, epoch loss=0.356794 Batch=239, step=14640, lr=0.139250, batch loss=0.139987, epoch loss=0.496781 Batch=299, step=14700, lr=0.139000, batch loss=0.074801, epoch loss=0.571581 Batch=359, step=14760, lr=0.138750, batch loss=0.123219, epoch loss=0.694801 Batch=419, step=14820, lr=0.138500, batch loss=0.130975, epoch loss=0.825776 Batch=479, step=14880, lr=0.138000, batch loss=0.098824, epoch loss=0.924601 Batch=539, step=14940, lr=0.138000, batch loss=0.087893, epoch loss=1.012494 Batch=599, step=15000, lr=0.137750, batch loss=0.085457, epoch loss=1.097951 Batch=659, step=15060, lr=0.137500, batch loss=0.134887, epoch loss=1.232837 Batch=719, step=15120, lr=0.137250, batch loss=0.160018, epoch loss=1.392855 Batch=779, step=15180, lr=0.137000, batch loss=0.254784, epoch loss=1.647639 Batch=839, step=15240, lr=0.136750, batch loss=0.129835, epoch loss=1.777474 Batch=899, step=15300, lr=0.136500, batch loss=0.131397, epoch loss=1.908871 Batch=959, step=15360, lr=0.136250, batch loss=0.090796, epoch loss=1.999667 Batch=1019, step=15420, lr=0.136000, batch loss=0.165942, epoch loss=2.165609 Batch=1079, step=15480, lr=0.135750, batch loss=0.039378, epoch loss=2.204987 Batch=1139, step=15540, lr=0.135500, batch loss=0.094966, epoch loss=2.299953 Batch=1199, step=15600, lr=0.135250, batch loss=0.059731, epoch loss=2.359683 Epoch=12, step=15600, lr=0.135250, epoch loss=2.359683 Batch=59, step=15660, lr=0.134750, batch loss=0.082539, epoch loss=0.082539 Batch=119, step=15720, lr=0.134750, batch loss=0.147927, epoch loss=0.230466 Batch=179, step=15780, lr=0.134500, batch loss=0.100872, epoch loss=0.331338 Batch=239, step=15840, lr=0.134250, batch loss=0.098620, epoch loss=0.429958 Batch=299, step=15900, lr=0.134000, batch loss=0.043003, epoch loss=0.472961 Batch=359, step=15960, lr=0.133750, batch loss=0.082332, epoch loss=0.555293 Batch=419, step=16020, lr=0.133500, batch loss=0.078830, epoch loss=0.634122 Batch=479, step=16080, lr=0.133250, batch loss=0.060219, epoch loss=0.694341 Batch=539, step=16140, lr=0.133000, batch loss=0.060825, epoch loss=0.755166 Batch=599, step=16200, lr=0.132750, batch loss=0.135277, epoch loss=0.890443 Batch=659, step=16260, lr=0.132500, batch loss=0.084478, epoch loss=0.974921 Batch=719, step=16320, lr=0.132250, batch loss=0.126394, epoch loss=1.101315 Batch=779, step=16380, lr=0.132000, batch loss=0.292423, epoch loss=1.393738 Batch=839, step=16440, lr=0.131750, batch loss=0.091358, epoch loss=1.485096 Batch=899, step=16500, lr=0.131500, batch loss=0.077705, epoch loss=1.562802 Batch=959, step=16560, lr=0.131250, batch loss=0.031523, epoch loss=1.594325 Batch=1019, step=16620, lr=0.131000, batch loss=0.058316, epoch loss=1.652640 Batch=1079, step=16680, lr=0.130750, batch loss=0.064034, epoch loss=1.716674 Batch=1139, step=16740, lr=0.130500, batch loss=0.123187, epoch loss=1.839861 Batch=1199, step=16800, lr=0.130250, batch loss=0.056084, epoch loss=1.895945 Epoch=13, step=16800, lr=0.130250, epoch loss=1.895945 Batch=59, step=16860, lr=0.130000, batch loss=0.034549, epoch loss=0.034549 Batch=119, step=16920, lr=0.129750, batch loss=0.034842, epoch loss=0.069391 Batch=179, step=16980, lr=0.129500, batch loss=0.043847, epoch loss=0.113238 Batch=239, step=17040, lr=0.129250, batch loss=0.061812, epoch loss=0.175050 Batch=299, step=17100, lr=0.129000, batch loss=0.026867, epoch loss=0.201917 Batch=359, step=17160, lr=0.128750, batch loss=0.048601, epoch loss=0.250518 Batch=419, step=17220, lr=0.128500, batch loss=0.072389, epoch loss=0.322907 Batch=479, step=17280, lr=0.128250, batch loss=0.021701, epoch loss=0.344608 Batch=539, step=17340, lr=0.128000, batch loss=0.027928, epoch loss=0.372536 Batch=599, step=17400, lr=0.127750, batch loss=0.036318, epoch loss=0.408854 Batch=659, step=17460, lr=0.127500, batch loss=0.056407, epoch loss=0.465261 Batch=719, step=17520, lr=0.127250, batch loss=0.087029, epoch loss=0.552290 Batch=779, step=17580, lr=0.127000, batch loss=0.060632, epoch loss=0.612922 Batch=839, step=17640, lr=0.126750, batch loss=0.090908, epoch loss=0.703831 Batch=899, step=17700, lr=0.126500, batch loss=0.049360, epoch loss=0.753190 Batch=959, step=17760, lr=0.126250, batch loss=0.020289, epoch loss=0.773480 Batch=1019, step=17820, lr=0.126000, batch loss=0.046008, epoch loss=0.819488 Batch=1079, step=17880, lr=0.125750, batch loss=0.036580, epoch loss=0.856068 Batch=1139, step=17940, lr=0.125500, batch loss=0.074261, epoch loss=0.930329 Batch=1199, step=18000, lr=0.125250, batch loss=0.023294, epoch loss=0.953622 Epoch=14, step=18000, lr=0.125250, epoch loss=0.953622 Batch=59, step=18060, lr=0.125000, batch loss=0.016394, epoch loss=0.016394 Batch=119, step=18120, lr=0.124750, batch loss=0.019275, epoch loss=0.035669 Batch=179, step=18180, lr=0.124500, batch loss=0.029062, epoch loss=0.064730 Batch=239, step=18240, lr=0.124250, batch loss=0.037156, epoch loss=0.101886 Batch=299, step=18300, lr=0.124000, batch loss=0.009315, epoch loss=0.111201 Batch=359, step=18360, lr=0.123750, batch loss=0.023769, epoch loss=0.134969 Batch=419, step=18420, lr=0.123500, batch loss=0.027848, epoch loss=0.162818 Batch=479, step=18480, lr=0.123250, batch loss=0.021055, epoch loss=0.183872 Batch=539, step=18540, lr=0.123000, batch loss=0.039327, epoch loss=0.223199 Batch=599, step=18600, lr=0.122750, batch loss=0.026211, epoch loss=0.249411 Batch=659, step=18660, lr=0.122500, batch loss=0.031657, epoch loss=0.281067 Batch=719, step=18720, lr=0.122250, batch loss=0.044430, epoch loss=0.325497 Batch=779, step=18780, lr=0.122000, batch loss=0.116266, epoch loss=0.441762 Batch=839, step=18840, lr=0.121750, batch loss=0.057315, epoch loss=0.499077 Batch=899, step=18900, lr=0.121500, batch loss=0.064926, epoch loss=0.564003 Batch=959, step=18960, lr=0.121250, batch loss=0.013655, epoch loss=0.577658 Batch=1019, step=19020, lr=0.121000, batch loss=0.018134, epoch loss=0.595792 Batch=1079, step=19080, lr=0.120750, batch loss=0.007589, epoch loss=0.603381 Batch=1139, step=19140, lr=0.120500, batch loss=0.024002, epoch loss=0.627384 Batch=1199, step=19200, lr=0.120250, batch loss=0.009849, epoch loss=0.637233 Epoch=15, step=19200, lr=0.120250, epoch loss=0.637233 Batch=59, step=19260, lr=0.120000, batch loss=0.004771, epoch loss=0.004771 Batch=119, step=19320, lr=0.119750, batch loss=0.019234, epoch loss=0.024005 Batch=179, step=19380, lr=0.119500, batch loss=0.042610, epoch loss=0.066616 Batch=239, step=19440, lr=0.119250, batch loss=0.020689, epoch loss=0.087304 Batch=299, step=19500, lr=0.119000, batch loss=0.004839, epoch loss=0.092143 Batch=359, step=19560, lr=0.118750, batch loss=0.017270, epoch loss=0.109413 Batch=419, step=19620, lr=0.118500, batch loss=0.019967, epoch loss=0.129380 Batch=479, step=19680, lr=0.118250, batch loss=0.007424, epoch loss=0.136804 Batch=539, step=19740, lr=0.118000, batch loss=0.016586, epoch loss=0.153390 Batch=599, step=19800, lr=0.117750, batch loss=0.022730, epoch loss=0.176121 Batch=659, step=19860, lr=0.117500, batch loss=0.017367, epoch loss=0.193488 Batch=719, step=19920, lr=0.117250, batch loss=0.039966, epoch loss=0.233454 Batch=779, step=19980, lr=0.117000, batch loss=0.081455, epoch loss=0.314909 Batch=839, step=20040, lr=0.116750, batch loss=0.031093, epoch loss=0.346002 Batch=899, step=20100, lr=0.116500, batch loss=0.034266, epoch loss=0.380268 Batch=959, step=20160, lr=0.116250, batch loss=0.011865, epoch loss=0.392133 Batch=1019, step=20220, lr=0.116000, batch loss=0.015918, epoch loss=0.408051 Batch=1079, step=20280, lr=0.115750, batch loss=0.002029, epoch loss=0.410080 Batch=1139, step=20340, lr=0.115500, batch loss=0.015289, epoch loss=0.425369 Batch=1199, step=20400, lr=0.115250, batch loss=0.008187, epoch loss=0.433556 Epoch=16, step=20400, lr=0.115250, epoch loss=0.433556 Batch=59, step=20460, lr=0.115000, batch loss=0.004140, epoch loss=0.004140 Batch=119, step=20520, lr=0.114750, batch loss=0.011882, epoch loss=0.016022 Batch=179, step=20580, lr=0.114500, batch loss=0.024051, epoch loss=0.040072 Batch=239, step=20640, lr=0.114250, batch loss=0.015632, epoch loss=0.055704 Batch=299, step=20700, lr=0.114000, batch loss=0.002681, epoch loss=0.058385 Batch=359, step=20760, lr=0.113750, batch loss=0.012874, epoch loss=0.071260 Batch=419, step=20820, lr=0.113500, batch loss=0.014062, epoch loss=0.085321 Batch=479, step=20880, lr=0.113250, batch loss=0.004915, epoch loss=0.090237 Batch=539, step=20940, lr=0.113000, batch loss=0.015295, epoch loss=0.105532 Batch=599, step=21000, lr=0.112750, batch loss=0.018034, epoch loss=0.123566 Batch=659, step=21060, lr=0.112500, batch loss=0.013724, epoch loss=0.137290 Batch=719, step=21120, lr=0.112250, batch loss=0.029322, epoch loss=0.166612 Batch=779, step=21180, lr=0.111750, batch loss=0.049494, epoch loss=0.216106 Batch=839, step=21240, lr=0.111750, batch loss=0.025766, epoch loss=0.241872 Batch=899, step=21300, lr=0.111500, batch loss=0.026437, epoch loss=0.268309 Batch=959, step=21360, lr=0.111250, batch loss=0.012813, epoch loss=0.281123 Batch=1019, step=21420, lr=0.111000, batch loss=0.011121, epoch loss=0.292244 Batch=1079, step=21480, lr=0.110500, batch loss=0.002274, epoch loss=0.294518 Batch=1139, step=21540, lr=0.110500, batch loss=0.012531, epoch loss=0.307049 Batch=1199, step=21600, lr=0.110250, batch loss=0.005309, epoch loss=0.312358 Epoch=17, step=21600, lr=0.110250, epoch loss=0.312358 Batch=59, step=21660, lr=0.110000, batch loss=0.002884, epoch loss=0.002884 Batch=119, step=21720, lr=0.109750, batch loss=0.006915, epoch loss=0.009799 Batch=179, step=21780, lr=0.109500, batch loss=0.012376, epoch loss=0.022175 Batch=239, step=21840, lr=0.109000, batch loss=0.009524, epoch loss=0.031699 Batch=299, step=21900, lr=0.109000, batch loss=0.009712, epoch loss=0.041411 Batch=359, step=21960, lr=0.108750, batch loss=0.014343, epoch loss=0.055754 Batch=419, step=22020, lr=0.108500, batch loss=0.013263, epoch loss=0.069017 Batch=479, step=22080, lr=0.108000, batch loss=0.003540, epoch loss=0.072557 Batch=539, step=22140, lr=0.108000, batch loss=0.015981, epoch loss=0.088539 Batch=599, step=22200, lr=0.107500, batch loss=0.016402, epoch loss=0.104941 Batch=659, step=22260, lr=0.107250, batch loss=0.013141, epoch loss=0.118082 Batch=719, step=22320, lr=0.107250, batch loss=0.020058, epoch loss=0.138140 Batch=779, step=22380, lr=0.107000, batch loss=0.031337, epoch loss=0.169477 Batch=839, step=22440, lr=0.106500, batch loss=0.030416, epoch loss=0.199893 Batch=899, step=22500, lr=0.106500, batch loss=0.023865, epoch loss=0.223758 Batch=959, step=22560, lr=0.106250, batch loss=0.011146, epoch loss=0.234904 Batch=1019, step=22620, lr=0.106000, batch loss=0.009769, epoch loss=0.244674 Batch=1079, step=22680, lr=0.105500, batch loss=0.001927, epoch loss=0.246601 Batch=1139, step=22740, lr=0.105500, batch loss=0.011652, epoch loss=0.258253 Batch=1199, step=22800, lr=0.105000, batch loss=0.005516, epoch loss=0.263769 Epoch=18, step=22800, lr=0.105000, epoch loss=0.263769 Batch=59, step=22860, lr=0.105000, batch loss=0.002447, epoch loss=0.002447 Batch=119, step=22920, lr=0.104750, batch loss=0.005218, epoch loss=0.007665 Batch=179, step=22980, lr=0.104500, batch loss=0.012509, epoch loss=0.020174 Batch=239, step=23040, lr=0.104250, batch loss=0.008488, epoch loss=0.028662 Batch=299, step=23100, lr=0.104000, batch loss=0.003537, epoch loss=0.032200 Batch=359, step=23160, lr=0.103750, batch loss=0.012603, epoch loss=0.044803 Batch=419, step=23220, lr=0.103500, batch loss=0.011405, epoch loss=0.056208 Batch=479, step=23280, lr=0.103250, batch loss=0.003253, epoch loss=0.059461 Batch=539, step=23340, lr=0.103000, batch loss=0.016657, epoch loss=0.076118 Batch=599, step=23400, lr=0.102750, batch loss=0.013846, epoch loss=0.089964 Batch=659, step=23460, lr=0.102500, batch loss=0.011451, epoch loss=0.101415 Batch=719, step=23520, lr=0.102250, batch loss=0.014262, epoch loss=0.115676 Batch=779, step=23580, lr=0.102000, batch loss=0.023244, epoch loss=0.138920 Batch=839, step=23640, lr=0.101750, batch loss=0.024705, epoch loss=0.163625 Batch=899, step=23700, lr=0.101500, batch loss=0.023100, epoch loss=0.186725 Batch=959, step=23760, lr=0.101250, batch loss=0.009023, epoch loss=0.195749 Batch=1019, step=23820, lr=0.101000, batch loss=0.008321, epoch loss=0.204070 Batch=1079, step=23880, lr=0.100750, batch loss=0.000782, epoch loss=0.204851 Batch=1139, step=23940, lr=0.100500, batch loss=0.009264, epoch loss=0.214115 Batch=1199, step=24000, lr=0.100250, batch loss=0.004493, epoch loss=0.218608 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218608 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 2025-05-19 16:44.40: Job failed: Failed: Build failed