2025-05-15 13:37.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9156a204994bc18bf1bb375e2a01c887bd47fc08) (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 9156a204 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 2025-05-15 13:37.49: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-15 13:37.49: 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")) ) 2025-05-15 13:37.49: Waiting for resource in pool OCluster 2025-05-15 13:37.50: Waiting for worker… 2025-05-15 13:48.35: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 9156a204 Logging test harness (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-15 13:49.53 ---> saved as "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 - x86_64 100% | 179.9 KiB/s | 25.4 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 174.2 KiB/s | 23.3 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 3.6 MiB/s | 4.5 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-15 13:50.03 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-15 13:50.03 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. Continue? [y/n] y This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. [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 2025-05-15 13:50.53 ---> saved as "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-15 13:50.54 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-15 13:50.54 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..8efeb9aa26 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) 2025-05-15 13:51.21 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-15 13:51.21 ---> 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) 2025-05-15 13:51.24 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-15 13:51.24 ---> 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% | 82.9 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 51.9 KiB/s | 28.8 KiB | 00m01s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 38.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 561.2 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-15 13:51.40 ---> saved as "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed 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 csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed cppo.1.8.0 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> 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 sexplib.v0.17.0 -> installed mdx.2.5.0 -> 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 ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed printbox-text.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_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) 2025-05-15 13:54.41 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178" /src: (copy (src .) (dst /src)) 2025-05-15 13:54.42 ---> saved as "95757ad534f86ed3ae408009ba152a702cc7a3f62a2dd6775676b9fda22f6d4e" /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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/199d37a672b6b91c42d74d288c7c4109/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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_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=0.198750, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198500, batch loss=1.327597, epoch loss=38.399812 Batch=419, step=420, lr=0.198500, batch loss=0.619133, epoch loss=39.018945 Batch=479, step=480, lr=0.198250, batch loss=0.821855, epoch loss=39.840800 Batch=539, step=540, lr=0.198000, batch loss=0.691516, epoch loss=40.532316 Batch=599, step=600, lr=0.197750, batch loss=1.063752, epoch loss=41.596068 Batch=659, step=660, lr=0.197500, batch loss=0.483520, epoch loss=42.079588 Batch=719, step=720, lr=0.197000, batch loss=0.411395, epoch loss=42.490983 Batch=779, step=780, lr=0.197000, batch loss=0.470204, epoch loss=42.961187 Batch=839, step=840, lr=0.196750, batch loss=0.446811, epoch loss=43.407998 Batch=899, step=900, lr=0.196500, batch loss=0.382839, epoch loss=43.790837 Batch=959, step=960, lr=0.196250, batch loss=0.245217, epoch loss=44.036055 Batch=1019, step=1020, lr=0.196000, batch loss=0.466662, epoch loss=44.502717 Batch=1079, step=1080, lr=0.195750, batch loss=0.248874, epoch loss=44.751591 Batch=1139, step=1140, lr=0.195500, batch loss=0.317560, epoch loss=45.069151 Batch=1199, step=1200, lr=0.195250, batch loss=0.263809, epoch loss=45.332960 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332960 Batch=59, step=1260, lr=0.195000, batch loss=0.262249, epoch loss=0.262249 Batch=119, step=1320, lr=0.194750, batch loss=0.205240, epoch loss=0.467489 Batch=179, step=1380, lr=0.194500, batch loss=0.243631, epoch loss=0.711119 Batch=239, step=1440, lr=0.194250, batch loss=0.347903, epoch loss=1.059022 Batch=299, step=1500, lr=0.194000, batch loss=0.247377, epoch loss=1.306398 Batch=359, step=1560, lr=0.193750, batch loss=0.316587, epoch loss=1.622985 Batch=419, step=1620, lr=0.193500, batch loss=0.312719, epoch loss=1.935704 Batch=479, step=1680, lr=0.193250, batch loss=0.276302, epoch loss=2.212007 Batch=539, step=1740, lr=0.193000, batch loss=0.209840, epoch loss=2.421846 Batch=599, step=1800, lr=0.192750, batch loss=0.250442, epoch loss=2.672288 Batch=659, step=1860, lr=0.192500, batch loss=0.367180, epoch loss=3.039468 Batch=719, step=1920, lr=0.192250, batch loss=0.354920, epoch loss=3.394387 Batch=779, step=1980, lr=0.192000, batch loss=0.381361, epoch loss=3.775748 Batch=839, step=2040, lr=0.191750, batch loss=0.339654, epoch loss=4.115402 Batch=899, step=2100, lr=0.191500, batch loss=0.295280, epoch loss=4.410682 Batch=959, step=2160, lr=0.191250, batch loss=0.214054, epoch loss=4.624736 Batch=1019, step=2220, lr=0.191000, batch loss=0.330953, epoch loss=4.955689 Batch=1079, step=2280, lr=0.190750, batch loss=0.208320, epoch loss=5.164008 Batch=1139, step=2340, lr=0.190500, batch loss=0.278387, epoch loss=5.442396 Batch=1199, step=2400, lr=0.190250, batch loss=0.220829, epoch loss=5.663225 Epoch=1, step=2400, lr=0.190250, epoch loss=5.663225 Batch=59, step=2460, lr=0.190000, batch loss=0.230394, epoch loss=0.230394 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426355 Batch=179, step=2580, lr=0.189500, batch loss=0.221147, epoch loss=0.647502 Batch=239, step=2640, lr=0.189000, batch loss=0.328087, epoch loss=0.975589 Batch=299, step=2700, lr=0.189000, batch loss=0.202999, epoch loss=1.178588 Batch=359, step=2760, lr=0.188750, batch loss=0.288256, epoch loss=1.466844 Batch=419, step=2820, lr=0.188500, batch loss=0.280187, epoch loss=1.747031 Batch=479, step=2880, lr=0.188250, batch loss=0.251499, epoch loss=1.998530 Batch=539, step=2940, lr=0.188000, batch loss=0.191300, epoch loss=2.189831 Batch=599, step=3000, lr=0.187750, batch loss=0.224957, epoch loss=2.414788 Batch=659, step=3060, lr=0.187500, batch loss=0.335789, epoch loss=2.750576 Batch=719, step=3120, lr=0.187250, batch loss=0.331393, epoch loss=3.081969 Batch=779, step=3180, lr=0.187000, batch loss=0.357970, epoch loss=3.439939 Batch=839, step=3240, lr=0.186750, batch loss=0.325588, epoch loss=3.765527 Batch=899, step=3300, lr=0.186500, batch loss=0.292441, epoch loss=4.057968 Batch=959, step=3360, lr=0.186250, batch loss=0.244834, epoch loss=4.302802 Batch=1019, step=3420, lr=0.186000, batch loss=0.361981, epoch loss=4.664783 Batch=1079, step=3480, lr=0.185750, batch loss=0.221908, epoch loss=4.886691 Batch=1139, step=3540, lr=0.185500, batch loss=0.264146, epoch loss=5.150837 Batch=1199, step=3600, lr=0.185250, batch loss=0.199946, epoch loss=5.350782 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350782 Batch=59, step=3660, lr=0.185000, batch loss=0.221193, epoch loss=0.221193 Batch=119, step=3720, lr=0.184750, batch loss=0.184994, epoch loss=0.406187 Batch=179, step=3780, lr=0.184250, batch loss=0.211408, epoch loss=0.617595 Batch=239, step=3840, lr=0.184250, batch loss=0.316940, epoch loss=0.934535 Batch=299, step=3900, lr=0.184000, batch loss=0.209327, epoch loss=1.143861 Batch=359, step=3960, lr=0.183750, batch loss=0.285553, epoch loss=1.429414 Batch=419, step=4020, lr=0.183500, batch loss=0.278318, epoch loss=1.707732 Batch=479, step=4080, lr=0.183250, batch loss=0.254926, epoch loss=1.962658 Batch=539, step=4140, lr=0.183000, batch loss=0.200047, epoch loss=2.162705 Batch=599, step=4200, lr=0.182750, batch loss=0.242579, epoch loss=2.405284 Batch=659, step=4260, lr=0.182500, batch loss=0.327788, epoch loss=2.733072 Batch=719, step=4320, lr=0.182250, batch loss=0.330803, epoch loss=3.063875 Batch=779, step=4380, lr=0.182000, batch loss=0.349812, epoch loss=3.413687 Batch=839, step=4440, lr=0.181750, batch loss=0.317780, epoch loss=3.731467 Batch=899, step=4500, lr=0.181500, batch loss=0.285868, epoch loss=4.017335 Batch=959, step=4560, lr=0.181000, batch loss=0.239534, epoch loss=4.256869 Batch=1019, step=4620, lr=0.181000, batch loss=0.332834, epoch loss=4.589703 Batch=1079, step=4680, lr=0.180750, batch loss=0.195851, epoch loss=4.785554 Batch=1139, step=4740, lr=0.180500, batch loss=0.229046, epoch loss=5.014600 Batch=1199, step=4800, lr=0.180250, batch loss=0.193303, epoch loss=5.207903 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207903 Batch=59, step=4860, lr=0.180000, batch loss=0.234119, epoch loss=0.234119 Batch=119, step=4920, lr=0.179750, batch loss=0.192082, epoch loss=0.426201 Batch=179, step=4980, lr=0.179500, batch loss=0.205732, epoch loss=0.631932 Batch=239, step=5040, lr=0.179250, batch loss=0.307528, epoch loss=0.939460 Batch=299, step=5100, lr=0.179000, batch loss=0.206036, epoch loss=1.145496 Batch=359, step=5160, lr=0.178750, batch loss=0.270767, epoch loss=1.416263 Batch=419, step=5220, lr=0.178500, batch loss=0.265498, epoch loss=1.681761 Batch=479, step=5280, lr=0.178250, batch loss=0.241975, epoch loss=1.923735 Batch=539, step=5340, lr=0.178000, batch loss=0.195222, epoch loss=2.118957 Batch=599, step=5400, lr=0.177750, batch loss=0.243473, epoch loss=2.362431 Batch=659, step=5460, lr=0.177500, batch loss=0.317065, epoch loss=2.679496 Batch=719, step=5520, lr=0.177250, batch loss=0.317766, epoch loss=2.997262 Batch=779, step=5580, lr=0.177000, batch loss=0.343182, epoch loss=3.340444 Batch=839, step=5640, lr=0.176750, batch loss=0.308212, epoch loss=3.648656 Batch=899, step=5700, lr=0.176500, batch loss=0.273875, epoch loss=3.922531 Batch=959, step=5760, lr=0.176250, batch loss=0.210694, epoch loss=4.133225 Batch=1019, step=5820, lr=0.176000, batch loss=0.338822, epoch loss=4.472047 Batch=1079, step=5880, lr=0.175750, batch loss=0.201152, epoch loss=4.673199 Batch=1139, step=5940, lr=0.175500, batch loss=0.243103, epoch loss=4.916302 Batch=1199, step=6000, lr=0.175000, batch loss=0.185404, epoch loss=5.101706 Epoch=4, step=6000, lr=0.175000, epoch loss=5.101706 Batch=59, step=6060, lr=0.175000, batch loss=0.226309, epoch loss=0.226309 Batch=119, step=6120, lr=0.174750, batch loss=0.184108, epoch loss=0.410417 Batch=179, step=6180, lr=0.174500, batch loss=0.201416, epoch loss=0.611832 Batch=239, step=6240, lr=0.174000, batch loss=0.301226, epoch loss=0.913059 Batch=299, step=6300, lr=0.174000, batch loss=0.205786, epoch loss=1.118845 Batch=359, step=6360, lr=0.173750, batch loss=0.264893, epoch loss=1.383738 Batch=419, step=6420, lr=0.173500, batch loss=0.261357, epoch loss=1.645095 Batch=479, step=6480, lr=0.173250, batch loss=0.241145, epoch loss=1.886240 Batch=539, step=6540, lr=0.173000, batch loss=0.196350, epoch loss=2.082590 Batch=599, step=6600, lr=0.172500, batch loss=0.232300, epoch loss=2.314890 Batch=659, step=6660, lr=0.172500, batch loss=0.313579, epoch loss=2.628468 Batch=719, step=6720, lr=0.172000, batch loss=0.316708, epoch loss=2.945177 Batch=779, step=6780, lr=0.172000, batch loss=0.330874, epoch loss=3.276051 Batch=839, step=6840, lr=0.171750, batch loss=0.306343, epoch loss=3.582394 Batch=899, step=6900, lr=0.171500, batch loss=0.268552, epoch loss=3.850945 Batch=959, step=6960, lr=0.171250, batch loss=0.207688, epoch loss=4.058633 Batch=1019, step=7020, lr=0.171000, batch loss=0.331341, epoch loss=4.389974 Batch=1079, step=7080, lr=0.170500, batch loss=0.180668, epoch loss=4.570641 Batch=1139, step=7140, lr=0.170250, batch loss=0.216787, epoch loss=4.787428 Batch=1199, step=7200, lr=0.170250, batch loss=0.182217, epoch loss=4.969645 Epoch=5, step=7200, lr=0.170250, epoch loss=4.969645 Batch=59, step=7260, lr=0.170000, batch loss=0.240258, epoch loss=0.240258 Batch=119, step=7320, lr=0.169750, batch loss=0.179678, epoch loss=0.419936 Batch=179, step=7380, lr=0.169500, batch loss=0.195233, epoch loss=0.615169 Batch=239, step=7440, lr=0.169250, batch loss=0.292340, epoch loss=0.907510 Batch=299, step=7500, lr=0.168750, batch loss=0.207780, epoch loss=1.115289 Batch=359, step=7560, lr=0.168750, batch loss=0.261235, epoch loss=1.376524 Batch=419, step=7620, lr=0.168500, batch loss=0.253888, epoch loss=1.630411 Batch=479, step=7680, lr=0.168250, batch loss=0.232172, epoch loss=1.862583 Batch=539, step=7740, lr=0.167750, batch loss=0.185275, epoch loss=2.047858 Batch=599, step=7800, lr=0.167750, batch loss=0.227373, epoch loss=2.275231 Batch=659, step=7860, lr=0.167500, batch loss=0.304156, epoch loss=2.579387 Batch=719, step=7920, lr=0.167250, batch loss=0.308405, epoch loss=2.887792 Batch=779, step=7980, lr=0.167000, batch loss=0.320406, epoch loss=3.208198 Batch=839, step=8040, lr=0.166750, batch loss=0.296672, epoch loss=3.504870 Batch=899, step=8100, lr=0.166500, batch loss=0.258502, epoch loss=3.763373 Batch=959, step=8160, lr=0.166250, batch loss=0.209740, epoch loss=3.973113 Batch=1019, step=8220, lr=0.166000, batch loss=0.313952, epoch loss=4.287065 Batch=1079, step=8280, lr=0.165750, batch loss=0.174684, epoch loss=4.461749 Batch=1139, step=8340, lr=0.165500, batch loss=0.209524, epoch loss=4.671273 Batch=1199, step=8400, lr=0.165250, batch loss=0.178127, epoch loss=4.849400 Epoch=6, step=8400, lr=0.165250, epoch loss=4.849400 Batch=59, step=8460, lr=0.165000, batch loss=0.228857, epoch loss=0.228857 Batch=119, step=8520, lr=0.164500, batch loss=0.174842, epoch loss=0.403699 Batch=179, step=8580, lr=0.164250, batch loss=0.187578, epoch loss=0.591277 Batch=239, step=8640, lr=0.164250, batch loss=0.277806, epoch loss=0.869084 Batch=299, step=8700, lr=0.164000, batch loss=0.191297, epoch loss=1.060380 Batch=359, step=8760, lr=0.163750, batch loss=0.248072, epoch loss=1.308452 Batch=419, step=8820, lr=0.163500, batch loss=0.244679, epoch loss=1.553131 Batch=479, step=8880, lr=0.163250, batch loss=0.228194, epoch loss=1.781325 Batch=539, step=8940, lr=0.162750, batch loss=0.177604, epoch loss=1.958929 Batch=599, step=9000, lr=0.162750, batch loss=0.217585, epoch loss=2.176514 Batch=659, step=9060, lr=0.162500, batch loss=0.294177, epoch loss=2.470691 Batch=719, step=9120, lr=0.162000, batch loss=0.295782, epoch loss=2.766473 Batch=779, step=9180, lr=0.162000, batch loss=0.315391, epoch loss=3.081863 Batch=839, step=9240, lr=0.161750, batch loss=0.280743, epoch loss=3.362606 Batch=899, step=9300, lr=0.161500, batch loss=0.251905, epoch loss=3.614511 Batch=959, step=9360, lr=0.161000, batch loss=0.188147, epoch loss=3.802658 Batch=1019, step=9420, lr=0.161000, batch loss=0.316733, epoch loss=4.119390 Batch=1079, step=9480, lr=0.160750, batch loss=0.186057, epoch loss=4.305448 Batch=1139, step=9540, lr=0.160500, batch loss=0.212057, epoch loss=4.517505 Batch=1199, step=9600, lr=0.160250, batch loss=0.167161, epoch loss=4.684666 Epoch=7, step=9600, lr=0.160250, epoch loss=4.684666 Batch=59, step=9660, lr=0.160000, batch loss=0.198411, epoch loss=0.198411 Batch=119, step=9720, lr=0.159500, batch loss=0.163941, epoch loss=0.362352 Batch=179, step=9780, lr=0.159500, batch loss=0.178691, epoch loss=0.541043 Batch=239, step=9840, lr=0.159250, batch loss=0.259500, epoch loss=0.800543 Batch=299, step=9900, lr=0.158750, batch loss=0.180321, epoch loss=0.980864 Batch=359, step=9960, lr=0.158750, batch loss=0.240958, epoch loss=1.221822 Batch=419, step=10020, lr=0.158250, batch loss=0.231802, epoch loss=1.453623 Batch=479, step=10080, lr=0.158250, batch loss=0.213230, epoch loss=1.666853 Batch=539, step=10140, lr=0.158000, batch loss=0.169893, epoch loss=1.836746 Batch=599, step=10200, lr=0.157750, batch loss=0.201246, epoch loss=2.037992 Batch=659, step=10260, lr=0.157500, batch loss=0.281884, epoch loss=2.319876 Batch=719, step=10320, lr=0.157250, batch loss=0.288368, epoch loss=2.608244 Batch=779, step=10380, lr=0.156750, batch loss=0.295023, epoch loss=2.903267 Batch=839, step=10440, lr=0.156750, batch loss=0.267470, epoch loss=3.170737 Batch=899, step=10500, lr=0.156500, batch loss=0.242183, epoch loss=3.412920 Batch=959, step=10560, lr=0.156250, batch loss=0.198657, epoch loss=3.611577 Batch=1019, step=10620, lr=0.156000, batch loss=0.292373, epoch loss=3.903950 Batch=1079, step=10680, lr=0.155750, batch loss=0.180248, epoch loss=4.084198 Batch=1139, step=10740, lr=0.155500, batch loss=0.204155, epoch loss=4.288352 Batch=1199, step=10800, lr=0.155250, batch loss=0.156361, epoch loss=4.444713 Epoch=8, step=10800, lr=0.155250, epoch loss=4.444713 Batch=59, step=10860, lr=0.155000, batch loss=0.180018, epoch loss=0.180018 Batch=119, step=10920, lr=0.154750, batch loss=0.150350, epoch loss=0.330368 Batch=179, step=10980, lr=0.154500, batch loss=0.166764, epoch loss=0.497133 Batch=239, step=11040, lr=0.154250, batch loss=0.243940, epoch loss=0.741072 Batch=299, step=11100, lr=0.153750, batch loss=0.164848, epoch loss=0.905920 Batch=359, step=11160, lr=0.153750, batch loss=0.223118, epoch loss=1.129037 Batch=419, step=11220, lr=0.153250, batch loss=0.229320, epoch loss=1.358358 Batch=479, step=11280, lr=0.153250, batch loss=0.202305, epoch loss=1.560663 Batch=539, step=11340, lr=0.153000, batch loss=0.160448, epoch loss=1.721110 Batch=599, step=11400, lr=0.152500, batch loss=0.183634, epoch loss=1.904744 Batch=659, step=11460, lr=0.152500, batch loss=0.261778, epoch loss=2.166522 Batch=719, step=11520, lr=0.152250, batch loss=0.256086, epoch loss=2.422608 Batch=779, step=11580, lr=0.151750, batch loss=0.269694, epoch loss=2.692302 Batch=839, step=11640, lr=0.151750, batch loss=0.256140, epoch loss=2.948443 Batch=899, step=11700, lr=0.151500, batch loss=0.216919, epoch loss=3.165362 Batch=959, step=11760, lr=0.151250, batch loss=0.171614, epoch loss=3.336976 Batch=1019, step=11820, lr=0.151000, batch loss=0.257471, epoch loss=3.594446 Batch=1079, step=11880, lr=0.150750, batch loss=0.137215, epoch loss=3.731662 Batch=1139, step=11940, lr=0.150500, batch loss=0.161521, epoch loss=3.893183 Batch=1199, step=12000, lr=0.150000, batch loss=0.138114, epoch loss=4.031297 Epoch=9, step=12000, lr=0.150000, epoch loss=4.031297 Batch=59, step=12060, lr=0.150000, batch loss=0.166108, epoch loss=0.166108 Batch=119, step=12120, lr=0.149750, batch loss=0.140085, epoch loss=0.306192 Batch=179, step=12180, lr=0.149500, batch loss=0.148775, epoch loss=0.454968 Batch=239, step=12240, lr=0.149250, batch loss=0.216128, epoch loss=0.671096 Batch=299, step=12300, lr=0.149000, batch loss=0.145196, epoch loss=0.816292 Batch=359, step=12360, lr=0.148750, batch loss=0.194935, epoch loss=1.011227 Batch=419, step=12420, lr=0.148500, batch loss=0.205952, epoch loss=1.217179 Batch=479, step=12480, lr=0.148250, batch loss=0.178660, epoch loss=1.395840 Batch=539, step=12540, lr=0.148000, batch loss=0.142470, epoch loss=1.538309 Batch=599, step=12600, lr=0.147750, batch loss=0.150360, epoch loss=1.688669 Batch=659, step=12660, lr=0.147500, batch loss=0.223058, epoch loss=1.911727 Batch=719, step=12720, lr=0.147250, batch loss=0.232311, epoch loss=2.144038 Batch=779, step=12780, lr=0.147000, batch loss=0.252638, epoch loss=2.396676 Batch=839, step=12840, lr=0.146750, batch loss=0.234478, epoch loss=2.631154 Batch=899, step=12900, lr=0.146500, batch loss=0.224347, epoch loss=2.855501 Batch=959, step=12960, lr=0.146250, batch loss=0.145758, epoch loss=3.001260 Batch=1019, step=13020, lr=0.146000, batch loss=0.240926, epoch loss=3.242185 Batch=1079, step=13080, lr=0.145750, batch loss=0.103749, epoch loss=3.345934 Batch=1139, step=13140, lr=0.145500, batch loss=0.141615, epoch loss=3.487548 Batch=1199, step=13200, lr=0.145250, batch loss=0.121881, epoch loss=3.609430 Epoch=10, step=13200, lr=0.145250, epoch loss=3.609430 Batch=59, step=13260, lr=0.145000, batch loss=0.155413, epoch loss=0.155413 Batch=119, step=13320, lr=0.144750, batch loss=0.126728, epoch loss=0.282141 Batch=179, step=13380, lr=0.144500, batch loss=0.127615, epoch loss=0.409755 Batch=239, step=13440, lr=0.144250, batch loss=0.188706, epoch loss=0.598461 Batch=299, step=13500, lr=0.144000, batch loss=0.119690, epoch loss=0.718152 Batch=359, step=13560, lr=0.143750, batch loss=0.160835, epoch loss=0.878987 Batch=419, step=13620, lr=0.143500, batch loss=0.160938, epoch loss=1.039925 Batch=479, step=13680, lr=0.143250, batch loss=0.144325, epoch loss=1.184250 Batch=539, step=13740, lr=0.143000, batch loss=0.118532, epoch loss=1.302782 Batch=599, step=13800, lr=0.142750, batch loss=0.119659, epoch loss=1.422440 Batch=659, step=13860, lr=0.142500, batch loss=0.173423, epoch loss=1.595863 Batch=719, step=13920, lr=0.142250, batch loss=0.174464, epoch loss=1.770327 Batch=779, step=13980, lr=0.142000, batch loss=0.196544, epoch loss=1.966871 Batch=839, step=14040, lr=0.141750, batch loss=0.206360, epoch loss=2.173231 Batch=899, step=14100, lr=0.141500, batch loss=0.221094, epoch loss=2.394325 Batch=959, step=14160, lr=0.141000, batch loss=0.099736, epoch loss=2.494061 Batch=1019, step=14220, lr=0.141000, batch loss=0.191351, epoch loss=2.685411 Batch=1079, step=14280, lr=0.140500, batch loss=0.082350, epoch loss=2.767762 Batch=1139, step=14340, lr=0.140500, batch loss=0.133712, epoch loss=2.901473 Batch=1199, step=14400, lr=0.140000, batch loss=0.086564, epoch loss=2.988038 Epoch=11, step=14400, lr=0.140000, epoch loss=2.988038 Batch=59, step=14460, lr=0.139750, batch loss=0.102559, epoch loss=0.102559 Batch=119, step=14520, lr=0.139500, batch loss=0.099132, epoch loss=0.201691 Batch=179, step=14580, lr=0.139250, batch loss=0.099977, epoch loss=0.301668 Batch=239, step=14640, lr=0.139250, batch loss=0.139994, epoch loss=0.441662 Batch=299, step=14700, lr=0.138750, batch loss=0.076280, epoch loss=0.517942 Batch=359, step=14760, lr=0.138750, batch loss=0.119588, epoch loss=0.637530 Batch=419, step=14820, lr=0.138500, batch loss=0.130383, epoch loss=0.767912 Batch=479, step=14880, lr=0.138250, batch loss=0.100154, epoch loss=0.868067 Batch=539, step=14940, lr=0.138000, batch loss=0.110014, epoch loss=0.978080 Batch=599, step=15000, lr=0.137500, batch loss=0.083181, epoch loss=1.061262 Batch=659, step=15060, lr=0.137500, batch loss=0.126841, epoch loss=1.188103 Batch=719, step=15120, lr=0.137250, batch loss=0.118187, epoch loss=1.306290 Batch=779, step=15180, lr=0.137000, batch loss=0.132168, epoch loss=1.438458 Batch=839, step=15240, lr=0.136750, batch loss=0.174415, epoch loss=1.612873 Batch=899, step=15300, lr=0.136500, batch loss=0.311378, epoch loss=1.924250 Batch=959, step=15360, lr=0.136250, batch loss=0.059524, epoch loss=1.983774 Batch=1019, step=15420, lr=0.136000, batch loss=0.134706, epoch loss=2.118480 Batch=1079, step=15480, lr=0.135750, batch loss=0.043870, epoch loss=2.162350 Batch=1139, step=15540, lr=0.135500, batch loss=0.098908, epoch loss=2.261257 Batch=1199, step=15600, lr=0.135250, batch loss=0.060076, epoch loss=2.321333 Epoch=12, step=15600, lr=0.135250, epoch loss=2.321333 Batch=59, step=15660, lr=0.135000, batch loss=0.072359, epoch loss=0.072359 Batch=119, step=15720, lr=0.134750, batch loss=0.091054, epoch loss=0.163413 Batch=179, step=15780, lr=0.134500, batch loss=0.080975, epoch loss=0.244388 Batch=239, step=15840, lr=0.134250, batch loss=0.090281, epoch loss=0.334669 Batch=299, step=15900, lr=0.134000, batch loss=0.035212, epoch loss=0.369881 Batch=359, step=15960, lr=0.133750, batch loss=0.074470, epoch loss=0.444350 Batch=419, step=16020, lr=0.133500, batch loss=0.097518, epoch loss=0.541868 Batch=479, step=16080, lr=0.133250, batch loss=0.058289, epoch loss=0.600157 Batch=539, step=16140, lr=0.133000, batch loss=0.104704, epoch loss=0.704861 Batch=599, step=16200, lr=0.132750, batch loss=0.057981, epoch loss=0.762842 Batch=659, step=16260, lr=0.132500, batch loss=0.077137, epoch loss=0.839979 Batch=719, step=16320, lr=0.132250, batch loss=0.081083, epoch loss=0.921062 Batch=779, step=16380, lr=0.132000, batch loss=0.102450, epoch loss=1.023512 Batch=839, step=16440, lr=0.131750, batch loss=0.114691, epoch loss=1.138203 Batch=899, step=16500, lr=0.131500, batch loss=0.153662, epoch loss=1.291864 Batch=959, step=16560, lr=0.131250, batch loss=0.050891, epoch loss=1.342755 Batch=1019, step=16620, lr=0.131000, batch loss=0.132390, epoch loss=1.475145 Batch=1079, step=16680, lr=0.130500, batch loss=0.019986, epoch loss=1.495131 Batch=1139, step=16740, lr=0.130500, batch loss=0.046906, epoch loss=1.542037 Batch=1199, step=16800, lr=0.130250, batch loss=0.025562, epoch loss=1.567599 Epoch=13, step=16800, lr=0.130250, epoch loss=1.567599 Batch=59, step=16860, lr=0.129750, batch loss=0.033867, epoch loss=0.033867 Batch=119, step=16920, lr=0.129750, batch loss=0.046681, epoch loss=0.080548 Batch=179, step=16980, lr=0.129500, batch loss=0.046542, epoch loss=0.127090 Batch=239, step=17040, lr=0.129250, batch loss=0.071134, epoch loss=0.198224 Batch=299, step=17100, lr=0.128750, batch loss=0.080277, epoch loss=0.278500 Batch=359, step=17160, lr=0.128750, batch loss=0.049077, epoch loss=0.327577 Batch=419, step=17220, lr=0.128250, batch loss=0.047508, epoch loss=0.375086 Batch=479, step=17280, lr=0.128000, batch loss=0.027295, epoch loss=0.402381 Batch=539, step=17340, lr=0.128000, batch loss=0.040142, epoch loss=0.442523 Batch=599, step=17400, lr=0.127750, batch loss=0.033063, epoch loss=0.475586 Batch=659, step=17460, lr=0.127500, batch loss=0.044103, epoch loss=0.519690 Batch=719, step=17520, lr=0.127250, batch loss=0.051763, epoch loss=0.571453 Batch=779, step=17580, lr=0.127000, batch loss=0.129217, epoch loss=0.700671 Batch=839, step=17640, lr=0.126750, batch loss=0.099321, epoch loss=0.799991 Batch=899, step=17700, lr=0.126250, batch loss=0.148631, epoch loss=0.948622 Batch=959, step=17760, lr=0.126250, batch loss=0.018674, epoch loss=0.967296 Batch=1019, step=17820, lr=0.125750, batch loss=0.032300, epoch loss=0.999596 Batch=1079, step=17880, lr=0.125750, batch loss=0.011620, epoch loss=1.011216 Batch=1139, step=17940, lr=0.125500, batch loss=0.031169, epoch loss=1.042386 Batch=1199, step=18000, lr=0.125250, batch loss=0.014475, epoch loss=1.056860 Epoch=14, step=18000, lr=0.125250, epoch loss=1.056860 Batch=59, step=18060, lr=0.124750, batch loss=0.010918, epoch loss=0.010918 Batch=119, step=18120, lr=0.124750, batch loss=0.020075, epoch loss=0.030993 Batch=179, step=18180, lr=0.124500, batch loss=0.037410, epoch loss=0.068404 Batch=239, step=18240, lr=0.124250, batch loss=0.036499, epoch loss=0.104903 Batch=299, step=18300, lr=0.124000, batch loss=0.015473, epoch loss=0.120375 Batch=359, step=18360, lr=0.123750, batch loss=0.023384, epoch loss=0.143760 Batch=419, step=18420, lr=0.123500, batch loss=0.027968, epoch loss=0.171727 Batch=479, step=18480, lr=0.123000, batch loss=0.018096, epoch loss=0.189823 Batch=539, step=18540, lr=0.122750, batch loss=0.029991, epoch loss=0.219814 Batch=599, step=18600, lr=0.122500, batch loss=0.025097, epoch loss=0.244912 Batch=659, step=18660, lr=0.122500, batch loss=0.029952, epoch loss=0.274864 Batch=719, step=18720, lr=0.122250, batch loss=0.040070, epoch loss=0.314935 Batch=779, step=18780, lr=0.122000, batch loss=0.114367, epoch loss=0.429301 Batch=839, step=18840, lr=0.121750, batch loss=0.058154, epoch loss=0.487456 Batch=899, step=18900, lr=0.121500, batch loss=0.073474, epoch loss=0.560929 Batch=959, step=18960, lr=0.121250, batch loss=0.013100, epoch loss=0.574029 Batch=1019, step=19020, lr=0.121000, batch loss=0.020600, epoch loss=0.594629 Batch=1079, step=19080, lr=0.120750, batch loss=0.011127, epoch loss=0.605757 Batch=1139, step=19140, lr=0.120500, batch loss=0.023490, epoch loss=0.629247 Batch=1199, step=19200, lr=0.120250, batch loss=0.009590, epoch loss=0.638837 Epoch=15, step=19200, lr=0.120250, epoch loss=0.638837 Batch=59, step=19260, lr=0.119750, batch loss=0.004593, epoch loss=0.004593 Batch=119, step=19320, lr=0.119750, batch loss=0.016699, epoch loss=0.021292 Batch=179, step=19380, lr=0.119250, batch loss=0.039321, epoch loss=0.060613 Batch=239, step=19440, lr=0.119000, batch loss=0.021501, epoch loss=0.082114 Batch=299, step=19500, lr=0.118750, batch loss=0.004647, epoch loss=0.086761 Batch=359, step=19560, lr=0.118750, batch loss=0.018127, epoch loss=0.104888 Batch=419, step=19620, lr=0.118500, batch loss=0.017848, epoch loss=0.122736 Batch=479, step=19680, lr=0.118250, batch loss=0.005444, epoch loss=0.128179 Batch=539, step=19740, lr=0.117750, batch loss=0.029675, epoch loss=0.157854 Batch=599, step=19800, lr=0.117750, batch loss=0.024338, epoch loss=0.182192 Batch=659, step=19860, lr=0.117250, batch loss=0.015669, epoch loss=0.197861 Batch=719, step=19920, lr=0.117250, batch loss=0.033565, epoch loss=0.231426 Batch=779, step=19980, lr=0.117000, batch loss=0.056243, epoch loss=0.287669 Batch=839, step=20040, lr=0.116750, batch loss=0.034584, epoch loss=0.322253 Batch=899, step=20100, lr=0.116250, batch loss=0.039491, epoch loss=0.361744 Batch=959, step=20160, lr=0.116000, batch loss=0.012197, epoch loss=0.373940 Batch=1019, step=20220, lr=0.116000, batch loss=0.015152, epoch loss=0.389092 Batch=1079, step=20280, lr=0.115750, batch loss=0.001824, epoch loss=0.390916 Batch=1139, step=20340, lr=0.115500, batch loss=0.014288, epoch loss=0.405204 Batch=1199, step=20400, lr=0.115250, batch loss=0.005764, epoch loss=0.410968 Epoch=16, step=20400, lr=0.115250, epoch loss=0.410968 Batch=59, step=20460, lr=0.115000, batch loss=0.002765, epoch loss=0.002765 Batch=119, step=20520, lr=0.114750, batch loss=0.009447, epoch loss=0.012211 Batch=179, step=20580, lr=0.114250, batch loss=0.021988, epoch loss=0.034200 Batch=239, step=20640, lr=0.114000, batch loss=0.015945, epoch loss=0.050145 Batch=299, step=20700, lr=0.114000, batch loss=0.004685, epoch loss=0.054830 Batch=359, step=20760, lr=0.113750, batch loss=0.014173, epoch loss=0.069003 Batch=419, step=20820, lr=0.113500, batch loss=0.014146, epoch loss=0.083149 Batch=479, step=20880, lr=0.113250, batch loss=0.003636, epoch loss=0.086785 Batch=539, step=20940, lr=0.113000, batch loss=0.016136, epoch loss=0.102920 Batch=599, step=21000, lr=0.112750, batch loss=0.017365, epoch loss=0.120285 Batch=659, step=21060, lr=0.112500, batch loss=0.013675, epoch loss=0.133960 Batch=719, step=21120, lr=0.112250, batch loss=0.033381, epoch loss=0.167341 Batch=779, step=21180, lr=0.112000, batch loss=0.053875, epoch loss=0.221216 Batch=839, step=21240, lr=0.111750, batch loss=0.024580, epoch loss=0.245796 Batch=899, step=21300, lr=0.111500, batch loss=0.023990, epoch loss=0.269787 Batch=959, step=21360, lr=0.111250, batch loss=0.016795, epoch loss=0.286581 Batch=1019, step=21420, lr=0.111000, batch loss=0.019276, epoch loss=0.305857 Batch=1079, step=21480, lr=0.110500, batch loss=0.002791, epoch loss=0.308648 Batch=1139, step=21540, lr=0.110250, batch loss=0.012512, epoch loss=0.321160 Batch=1199, step=21600, lr=0.110000, batch loss=0.005295, epoch loss=0.326455 Epoch=17, step=21600, lr=0.110000, epoch loss=0.326455 Batch=59, step=21660, lr=0.110000, batch loss=0.002787, epoch loss=0.002787 Batch=119, step=21720, lr=0.109750, batch loss=0.006389, epoch loss=0.009176 Batch=179, step=21780, lr=0.109250, batch loss=0.012012, epoch loss=0.021188 Batch=239, step=21840, lr=0.109250, batch loss=0.009116, epoch loss=0.030303 Batch=299, step=21900, lr=0.109000, batch loss=0.008518, epoch loss=0.038821 Batch=359, step=21960, lr=0.108500, batch loss=0.015158, epoch loss=0.053979 Batch=419, step=22020, lr=0.108500, batch loss=0.011902, epoch loss=0.065882 Batch=479, step=22080, lr=0.108250, batch loss=0.002770, epoch loss=0.068651 Batch=539, step=22140, lr=0.107750, batch loss=0.017710, epoch loss=0.086361 Batch=599, step=22200, lr=0.107750, batch loss=0.015284, epoch loss=0.101645 Batch=659, step=22260, lr=0.107500, batch loss=0.011290, epoch loss=0.112935 Batch=719, step=22320, lr=0.107250, batch loss=0.017870, epoch loss=0.130805 Batch=779, step=22380, lr=0.107000, batch loss=0.024409, epoch loss=0.155215 Batch=839, step=22440, lr=0.106750, batch loss=0.026468, epoch loss=0.181683 Batch=899, step=22500, lr=0.106500, batch loss=0.025691, epoch loss=0.207374 Batch=959, step=22560, lr=0.106250, batch loss=0.008765, epoch loss=0.216139 Batch=1019, step=22620, lr=0.106000, batch loss=0.008857, epoch loss=0.224996 Batch=1079, step=22680, lr=0.105750, batch loss=0.001665, epoch loss=0.226661 Batch=1139, step=22740, lr=0.105500, batch loss=0.010557, epoch loss=0.237218 Batch=1199, step=22800, lr=0.105250, batch loss=0.004703, epoch loss=0.241921 Epoch=18, step=22800, lr=0.105250, epoch loss=0.241921 Batch=59, step=22860, lr=0.105000, batch loss=0.001758, epoch loss=0.001758 Batch=119, step=22920, lr=0.104750, batch loss=0.005245, epoch loss=0.007003 Batch=179, step=22980, lr=0.104500, batch loss=0.010739, epoch loss=0.017742 Batch=239, step=23040, lr=0.104000, batch loss=0.009436, epoch loss=0.027179 Batch=299, step=23100, lr=0.104000, batch loss=0.008183, epoch loss=0.035362 Batch=359, step=23160, lr=0.103750, batch loss=0.011150, epoch loss=0.046512 Batch=419, step=23220, lr=0.103500, batch loss=0.010871, epoch loss=0.057383 Batch=479, step=23280, lr=0.103250, batch loss=0.003780, epoch loss=0.061162 Batch=539, step=23340, lr=0.103000, batch loss=0.014041, epoch loss=0.075203 Batch=599, step=23400, lr=0.102750, batch loss=0.014567, epoch loss=0.089770 Batch=659, step=23460, lr=0.102500, batch loss=0.014757, epoch loss=0.104528 Batch=719, step=23520, lr=0.102250, batch loss=0.017286, epoch loss=0.121813 Batch=779, step=23580, lr=0.102000, batch loss=0.020251, epoch loss=0.142065 Batch=839, step=23640, lr=0.101500, batch loss=0.026600, epoch loss=0.168664 Batch=899, step=23700, lr=0.101500, batch loss=0.021296, epoch loss=0.189960 Batch=959, step=23760, lr=0.101250, batch loss=0.007747, epoch loss=0.197707 Batch=1019, step=23820, lr=0.101000, batch loss=0.006449, epoch loss=0.204156 Batch=1079, step=23880, lr=0.100750, batch loss=0.001318, epoch loss=0.205474 Batch=1139, step=23940, lr=0.100500, batch loss=0.008110, epoch loss=0.213584 Batch=1199, step=24000, lr=0.100250, batch loss=0.004118, epoch loss=0.217702 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217702 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ 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│#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%..................*********.................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-15 13:56.11: Job failed: Failed: Build failed