2025-06-05 13:22.25: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (12bc3d565917e3fd58e02b846b19d1bac90a0ae3) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 12bc3d56 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 # alpine-3.21-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src 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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && 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.3.19.0 dune-configurator.3.19.0 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.4.0.1 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 2025-06-05 13:22.25: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-06-05 13:22.25: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) (comment alpine-3.21-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (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 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && 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.3.19.0 dune-configurator.3.19.0 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.4.0.1 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")) ) 2025-06-05 13:22.25: Waiting for resource in pool OCluster 2025-06-05 13:22.25: Waiting for worker… 2025-06-05 13:29.57: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 12bc3d56 Factor out dim_solved, bug fix s_dim_one, formatting (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-06-05 13:29.58 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-05 13:29.58 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" 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 2025-06-05 13:29.58 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-05 13:29.58 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-05 13:29.58 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 5d2fb3923b40a5570824690009441d947b823e8f || git fetch origin master) && git reset -q --hard 5d2fb3923b40a5570824690009441d947b823e8f && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..fc511aa5a8 master -> origin/master 5d2fb3923b Merge pull request #27963 from mseri/base-ppxlib <><> 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) 2025-06-05 13:29.58 ---> using "d075a3fa95a1dce4c785701578f6d25ae5fcaf76a81bf45ccd8fedaf73844910" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-05 13:29.58 ---> using "80c99759c664137b40a59b79f1caea661a71838a9db3870fa68080a83740c3ea" 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) 2025-06-05 13:29.58 ---> using "95465d17788f60b6af84b63fd495e906a4b81d4afd1e8c732f00047a8d42fe46" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-05 13:29.58 ---> using "5c034156c3bbfa4a9b407d21139c0c67f6548dd93d966458e179f3f1ce97fe95" 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.3.19.0 dune-configurator.3.19.0 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.4.0.1 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 "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-577-gf977546c70b [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-575-g016e410865b [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v3.22.0-333-g28b5799ba8b [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v3.22.0-341-g568f9e5be05 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v3.22.0-331-ga3bbe13a87b [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58496 distinct packages available <><> 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-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-06-05 13:29.58 ---> using "5af1ed003121fd2a543766677632679e38d5c4c119a60c71a4c8af078aa34232" 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 3.19.0 - install dune-configurator 3.19.0 - 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 4.0.1 - 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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> 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 multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.1 (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_expect.v0.17.2 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> 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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 time_now.v0.17.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (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.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.19.0 -> installed parsexp.v0.17.0 -> 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 base.v0.17.2 -> installed printbox-text.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> 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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:29.58 ---> using "ca8ab0ce50415ee0c3cc550a3ee765bc83d0663d538aeb32e9ef0ed4eb1abb61" from cache /src: (copy (src .) (dst /src)) 2025-06-05 13:29.59 ---> saved as "8c82a3b866a74cdf322475e405ff0be6f14d5b6f8991ee0941f0996b00b0a0dd" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ab6cad7a19419af30516eba290caf967/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c036587c4aaa5fb4a95a311a9f740dfa/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/c036587c4aaa5fb4a95a311a9f740dfa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.856726, epoch loss=35.627544 Batch=299, step=300, lr=0.199000, batch loss=1.435283, epoch loss=37.062828 Batch=359, step=360, lr=0.198750, batch loss=1.340531, epoch loss=38.403359 Batch=419, step=420, lr=0.198250, batch loss=0.610731, epoch loss=39.014090 Batch=479, step=480, lr=0.198250, batch loss=0.746761, epoch loss=39.760851 Batch=539, step=540, lr=0.198000, batch loss=0.689684, epoch loss=40.450535 Batch=599, step=600, lr=0.197750, batch loss=1.102687, epoch loss=41.553222 Batch=659, step=660, lr=0.197500, batch loss=0.481712, epoch loss=42.034934 Batch=719, step=720, lr=0.197250, batch loss=0.410613, epoch loss=42.445547 Batch=779, step=780, lr=0.197000, batch loss=0.469255, epoch loss=42.914802 Batch=839, step=840, lr=0.196750, batch loss=0.450256, epoch loss=43.365057 Batch=899, step=900, lr=0.196500, batch loss=0.383472, epoch loss=43.748530 Batch=959, step=960, lr=0.196250, batch loss=0.268616, epoch loss=44.017145 Batch=1019, step=1020, lr=0.196000, batch loss=0.486716, epoch loss=44.503862 Batch=1079, step=1080, lr=0.195750, batch loss=0.266053, epoch loss=44.769915 Batch=1139, step=1140, lr=0.195500, batch loss=0.330246, epoch loss=45.100160 Batch=1199, step=1200, lr=0.195250, batch loss=0.263439, epoch loss=45.363599 Epoch=0, step=1200, lr=0.195250, epoch loss=45.363599 Batch=59, step=1260, lr=0.194750, batch loss=0.263430, epoch loss=0.263430 Batch=119, step=1320, lr=0.194750, batch loss=0.203736, epoch loss=0.467166 Batch=179, step=1380, lr=0.194500, batch loss=0.245535, epoch loss=0.712700 Batch=239, step=1440, lr=0.194250, batch loss=0.349679, epoch loss=1.062380 Batch=299, step=1500, lr=0.194000, batch loss=0.239112, epoch loss=1.301492 Batch=359, step=1560, lr=0.193750, batch loss=0.314693, epoch loss=1.616185 Batch=419, step=1620, lr=0.193500, batch loss=0.312536, epoch loss=1.928721 Batch=479, step=1680, lr=0.193250, batch loss=0.277003, epoch loss=2.205724 Batch=539, step=1740, lr=0.193000, batch loss=0.209946, epoch loss=2.415670 Batch=599, step=1800, lr=0.192750, batch loss=0.246391, epoch loss=2.662061 Batch=659, step=1860, lr=0.192500, batch loss=0.362929, epoch loss=3.024990 Batch=719, step=1920, lr=0.192250, batch loss=0.355940, epoch loss=3.380930 Batch=779, step=1980, lr=0.192000, batch loss=0.381840, epoch loss=3.762770 Batch=839, step=2040, lr=0.191750, batch loss=0.341884, epoch loss=4.104654 Batch=899, step=2100, lr=0.191250, batch loss=0.296709, epoch loss=4.401363 Batch=959, step=2160, lr=0.191250, batch loss=0.214414, epoch loss=4.615778 Batch=1019, step=2220, lr=0.191000, batch loss=0.333036, epoch loss=4.948814 Batch=1079, step=2280, lr=0.190750, batch loss=0.208485, epoch loss=5.157299 Batch=1139, step=2340, lr=0.190500, batch loss=0.271205, epoch loss=5.428505 Batch=1199, step=2400, lr=0.190250, batch loss=0.220033, epoch loss=5.648538 Epoch=1, step=2400, lr=0.190250, epoch loss=5.648538 Batch=59, step=2460, lr=0.190000, batch loss=0.230390, epoch loss=0.230390 Batch=119, step=2520, lr=0.189750, batch loss=0.198919, epoch loss=0.429309 Batch=179, step=2580, lr=0.189500, batch loss=0.220694, epoch loss=0.650003 Batch=239, step=2640, lr=0.189250, batch loss=0.328987, epoch loss=0.978990 Batch=299, step=2700, lr=0.189000, batch loss=0.207759, epoch loss=1.186749 Batch=359, step=2760, lr=0.188750, batch loss=0.294027, epoch loss=1.480777 Batch=419, step=2820, lr=0.188500, batch loss=0.281998, epoch loss=1.762775 Batch=479, step=2880, lr=0.188250, batch loss=0.255975, epoch loss=2.018750 Batch=539, step=2940, lr=0.188000, batch loss=0.197230, epoch loss=2.215979 Batch=599, step=3000, lr=0.187750, batch loss=0.241165, epoch loss=2.457144 Batch=659, step=3060, lr=0.187500, batch loss=0.348795, epoch loss=2.805939 Batch=719, step=3120, lr=0.187250, batch loss=0.347166, epoch loss=3.153105 Batch=779, step=3180, lr=0.187000, batch loss=0.366786, epoch loss=3.519890 Batch=839, step=3240, lr=0.186750, batch loss=0.323677, epoch loss=3.843567 Batch=899, step=3300, lr=0.186500, batch loss=0.287145, epoch loss=4.130712 Batch=959, step=3360, lr=0.186250, batch loss=0.212579, epoch loss=4.343291 Batch=1019, step=3420, lr=0.186000, batch loss=0.308076, epoch loss=4.651367 Batch=1079, step=3480, lr=0.185750, batch loss=0.186642, epoch loss=4.838009 Batch=1139, step=3540, lr=0.185250, batch loss=0.231710, epoch loss=5.069719 Batch=1199, step=3600, lr=0.185250, batch loss=0.199098, epoch loss=5.268817 Epoch=2, step=3600, lr=0.185250, epoch loss=5.268817 Batch=59, step=3660, lr=0.185000, batch loss=0.228423, epoch loss=0.228423 Batch=119, step=3720, lr=0.184750, batch loss=0.195304, epoch loss=0.423727 Batch=179, step=3780, lr=0.184500, batch loss=0.212156, epoch loss=0.635883 Batch=239, step=3840, lr=0.184250, batch loss=0.318519, epoch loss=0.954402 Batch=299, step=3900, lr=0.184000, batch loss=0.207712, epoch loss=1.162114 Batch=359, step=3960, lr=0.183750, batch loss=0.291787, epoch loss=1.453901 Batch=419, step=4020, lr=0.183500, batch loss=0.290830, epoch loss=1.744731 Batch=479, step=4080, lr=0.183250, batch loss=0.260429, epoch loss=2.005160 Batch=539, step=4140, lr=0.183000, batch loss=0.196248, epoch loss=2.201409 Batch=599, step=4200, lr=0.182750, batch loss=0.242934, epoch loss=2.444342 Batch=659, step=4260, lr=0.182250, batch loss=0.328615, epoch loss=2.772957 Batch=719, step=4320, lr=0.182250, batch loss=0.335587, epoch loss=3.108544 Batch=779, step=4380, lr=0.182000, batch loss=0.354917, epoch loss=3.463461 Batch=839, step=4440, lr=0.181750, batch loss=0.315292, epoch loss=3.778753 Batch=899, step=4500, lr=0.181500, batch loss=0.290161, epoch loss=4.068914 Batch=959, step=4560, lr=0.181250, batch loss=0.247464, epoch loss=4.316378 Batch=1019, step=4620, lr=0.181000, batch loss=0.374454, epoch loss=4.690831 Batch=1079, step=4680, lr=0.180750, batch loss=0.215365, epoch loss=4.906197 Batch=1139, step=4740, lr=0.180500, batch loss=0.254017, epoch loss=5.160213 Batch=1199, step=4800, lr=0.180250, batch loss=0.193358, epoch loss=5.353572 Epoch=3, step=4800, lr=0.180250, epoch loss=5.353572 Batch=59, step=4860, lr=0.179750, batch loss=0.221190, epoch loss=0.221190 Batch=119, step=4920, lr=0.179500, batch loss=0.189819, epoch loss=0.411009 Batch=179, step=4980, lr=0.179250, batch loss=0.206751, epoch loss=0.617760 Batch=239, step=5040, lr=0.179000, batch loss=0.307636, epoch loss=0.925395 Batch=299, step=5100, lr=0.179000, batch loss=0.201074, epoch loss=1.126470 Batch=359, step=5160, lr=0.178750, batch loss=0.272818, epoch loss=1.399288 Batch=419, step=5220, lr=0.178500, batch loss=0.264653, epoch loss=1.663940 Batch=479, step=5280, lr=0.178250, batch loss=0.240393, epoch loss=1.904333 Batch=539, step=5340, lr=0.178000, batch loss=0.189555, epoch loss=2.093888 Batch=599, step=5400, lr=0.177750, batch loss=0.232474, epoch loss=2.326362 Batch=659, step=5460, lr=0.177500, batch loss=0.324266, epoch loss=2.650628 Batch=719, step=5520, lr=0.177250, batch loss=0.326260, epoch loss=2.976889 Batch=779, step=5580, lr=0.177000, batch loss=0.338671, epoch loss=3.315560 Batch=839, step=5640, lr=0.176750, batch loss=0.315012, epoch loss=3.630572 Batch=899, step=5700, lr=0.176500, batch loss=0.278053, epoch loss=3.908625 Batch=959, step=5760, lr=0.176250, batch loss=0.220084, epoch loss=4.128709 Batch=1019, step=5820, lr=0.176000, batch loss=0.333761, epoch loss=4.462470 Batch=1079, step=5880, lr=0.175750, batch loss=0.200019, epoch loss=4.662489 Batch=1139, step=5940, lr=0.175500, batch loss=0.246079, epoch loss=4.908567 Batch=1199, step=6000, lr=0.175250, batch loss=0.186065, epoch loss=5.094632 Epoch=4, step=6000, lr=0.175250, epoch loss=5.094632 Batch=59, step=6060, lr=0.175000, batch loss=0.224865, epoch loss=0.224865 Batch=119, step=6120, lr=0.174750, batch loss=0.186220, epoch loss=0.411085 Batch=179, step=6180, lr=0.174500, batch loss=0.201903, epoch loss=0.612988 Batch=239, step=6240, lr=0.174250, batch loss=0.300439, epoch loss=0.913427 Batch=299, step=6300, lr=0.174000, batch loss=0.207459, epoch loss=1.120886 Batch=359, step=6360, lr=0.173750, batch loss=0.266708, epoch loss=1.387594 Batch=419, step=6420, lr=0.173500, batch loss=0.261575, epoch loss=1.649168 Batch=479, step=6480, lr=0.173250, batch loss=0.242498, epoch loss=1.891667 Batch=539, step=6540, lr=0.173000, batch loss=0.195550, epoch loss=2.087216 Batch=599, step=6600, lr=0.172750, batch loss=0.232885, epoch loss=2.320101 Batch=659, step=6660, lr=0.172500, batch loss=0.314600, epoch loss=2.634701 Batch=719, step=6720, lr=0.172250, batch loss=0.318560, epoch loss=2.953261 Batch=779, step=6780, lr=0.172000, batch loss=0.331023, epoch loss=3.284283 Batch=839, step=6840, lr=0.171750, batch loss=0.306355, epoch loss=3.590638 Batch=899, step=6900, lr=0.171500, batch loss=0.270174, epoch loss=3.860812 Batch=959, step=6960, lr=0.171250, batch loss=0.207385, epoch loss=4.068196 Batch=1019, step=7020, lr=0.171000, batch loss=0.328235, epoch loss=4.396431 Batch=1079, step=7080, lr=0.170750, batch loss=0.184324, epoch loss=4.580756 Batch=1139, step=7140, lr=0.170500, batch loss=0.216090, epoch loss=4.796846 Batch=1199, step=7200, lr=0.170250, batch loss=0.182108, epoch loss=4.978954 Epoch=5, step=7200, lr=0.170250, epoch loss=4.978954 Batch=59, step=7260, lr=0.170000, batch loss=0.236808, epoch loss=0.236808 Batch=119, step=7320, lr=0.169750, batch loss=0.182923, epoch loss=0.419731 Batch=179, step=7380, lr=0.169500, batch loss=0.196500, epoch loss=0.616231 Batch=239, step=7440, lr=0.169250, batch loss=0.291075, epoch loss=0.907306 Batch=299, step=7500, lr=0.169000, batch loss=0.201397, epoch loss=1.108703 Batch=359, step=7560, lr=0.168750, batch loss=0.259109, epoch loss=1.367813 Batch=419, step=7620, lr=0.168500, batch loss=0.257873, epoch loss=1.625686 Batch=479, step=7680, lr=0.168250, batch loss=0.236370, epoch loss=1.862056 Batch=539, step=7740, lr=0.168000, batch loss=0.189542, epoch loss=2.051598 Batch=599, step=7800, lr=0.167750, batch loss=0.231019, epoch loss=2.282617 Batch=659, step=7860, lr=0.167500, batch loss=0.304139, epoch loss=2.586756 Batch=719, step=7920, lr=0.167250, batch loss=0.313102, epoch loss=2.899859 Batch=779, step=7980, lr=0.167000, batch loss=0.328630, epoch loss=3.228489 Batch=839, step=8040, lr=0.166750, batch loss=0.292988, epoch loss=3.521477 Batch=899, step=8100, lr=0.166500, batch loss=0.262054, epoch loss=3.783532 Batch=959, step=8160, lr=0.166250, batch loss=0.200374, epoch loss=3.983906 Batch=1019, step=8220, lr=0.165750, batch loss=0.324918, epoch loss=4.308823 Batch=1079, step=8280, lr=0.165500, batch loss=0.186897, epoch loss=4.495721 Batch=1139, step=8340, lr=0.165500, batch loss=0.217755, epoch loss=4.713476 Batch=1199, step=8400, lr=0.165250, batch loss=0.172948, epoch loss=4.886423 Epoch=6, step=8400, lr=0.165250, epoch loss=4.886423 Batch=59, step=8460, lr=0.164750, batch loss=0.212778, epoch loss=0.212778 Batch=119, step=8520, lr=0.164750, batch loss=0.172306, epoch loss=0.385084 Batch=179, step=8580, lr=0.164250, batch loss=0.188828, epoch loss=0.573912 Batch=239, step=8640, lr=0.164000, batch loss=0.278373, epoch loss=0.852285 Batch=299, step=8700, lr=0.163750, batch loss=0.194520, epoch loss=1.046806 Batch=359, step=8760, lr=0.163750, batch loss=0.255205, epoch loss=1.302010 Batch=419, step=8820, lr=0.163250, batch loss=0.245933, epoch loss=1.547943 Batch=479, step=8880, lr=0.163000, batch loss=0.229298, epoch loss=1.777241 Batch=539, step=8940, lr=0.162750, batch loss=0.178612, epoch loss=1.955853 Batch=599, step=9000, lr=0.162750, batch loss=0.218294, epoch loss=2.174146 Batch=659, step=9060, lr=0.162500, batch loss=0.293613, epoch loss=2.467760 Batch=719, step=9120, lr=0.162000, batch loss=0.298027, epoch loss=2.765786 Batch=779, step=9180, lr=0.162000, batch loss=0.315237, epoch loss=3.081023 Batch=839, step=9240, lr=0.161750, batch loss=0.280498, epoch loss=3.361521 Batch=899, step=9300, lr=0.161500, batch loss=0.253034, epoch loss=3.614556 Batch=959, step=9360, lr=0.161000, batch loss=0.197443, epoch loss=3.811998 Batch=1019, step=9420, lr=0.160750, batch loss=0.308399, epoch loss=4.120397 Batch=1079, step=9480, lr=0.160750, batch loss=0.195577, epoch loss=4.315975 Batch=1139, step=9540, lr=0.160500, batch loss=0.215338, epoch loss=4.531313 Batch=1199, step=9600, lr=0.160250, batch loss=0.166246, epoch loss=4.697560 Epoch=7, step=9600, lr=0.160250, epoch loss=4.697560 Batch=59, step=9660, lr=0.160000, batch loss=0.201109, epoch loss=0.201109 Batch=119, step=9720, lr=0.159500, batch loss=0.165504, epoch loss=0.366613 Batch=179, step=9780, lr=0.159250, batch loss=0.178784, epoch loss=0.545396 Batch=239, step=9840, lr=0.159250, batch loss=0.262938, epoch loss=0.808335 Batch=299, step=9900, lr=0.159000, batch loss=0.181824, epoch loss=0.990159 Batch=359, step=9960, lr=0.158750, batch loss=0.240776, epoch loss=1.230935 Batch=419, step=10020, lr=0.158500, batch loss=0.232238, epoch loss=1.463173 Batch=479, step=10080, lr=0.158250, batch loss=0.215470, epoch loss=1.678643 Batch=539, step=10140, lr=0.158000, batch loss=0.170768, epoch loss=1.849411 Batch=599, step=10200, lr=0.157750, batch loss=0.203638, epoch loss=2.053049 Batch=659, step=10260, lr=0.157500, batch loss=0.281868, epoch loss=2.334917 Batch=719, step=10320, lr=0.157250, batch loss=0.285117, epoch loss=2.620035 Batch=779, step=10380, lr=0.157000, batch loss=0.295101, epoch loss=2.915135 Batch=839, step=10440, lr=0.156750, batch loss=0.273889, epoch loss=3.189024 Batch=899, step=10500, lr=0.156500, batch loss=0.236088, epoch loss=3.425111 Batch=959, step=10560, lr=0.156250, batch loss=0.181809, epoch loss=3.606920 Batch=1019, step=10620, lr=0.156000, batch loss=0.294729, epoch loss=3.901649 Batch=1079, step=10680, lr=0.155750, batch loss=0.181250, epoch loss=4.082899 Batch=1139, step=10740, lr=0.155500, batch loss=0.205037, epoch loss=4.287936 Batch=1199, step=10800, lr=0.155000, batch loss=0.156452, epoch loss=4.444389 Epoch=8, step=10800, lr=0.155000, epoch loss=4.444389 Batch=59, step=10860, lr=0.155000, batch loss=0.180664, epoch loss=0.180664 Batch=119, step=10920, lr=0.154750, batch loss=0.150513, epoch loss=0.331178 Batch=179, step=10980, lr=0.154500, batch loss=0.167045, epoch loss=0.498223 Batch=239, step=11040, lr=0.154250, batch loss=0.244273, epoch loss=0.742496 Batch=299, step=11100, lr=0.154000, batch loss=0.166111, epoch loss=0.908607 Batch=359, step=11160, lr=0.153750, batch loss=0.222914, epoch loss=1.131520 Batch=419, step=11220, lr=0.153500, batch loss=0.227224, epoch loss=1.358744 Batch=479, step=11280, lr=0.153250, batch loss=0.205661, epoch loss=1.564405 Batch=539, step=11340, lr=0.153000, batch loss=0.157693, epoch loss=1.722098 Batch=599, step=11400, lr=0.152750, batch loss=0.181738, epoch loss=1.903836 Batch=659, step=11460, lr=0.152500, batch loss=0.263781, epoch loss=2.167617 Batch=719, step=11520, lr=0.152250, batch loss=0.254081, epoch loss=2.421698 Batch=779, step=11580, lr=0.152000, batch loss=0.273621, epoch loss=2.695319 Batch=839, step=11640, lr=0.151750, batch loss=0.254898, epoch loss=2.950217 Batch=899, step=11700, lr=0.151250, batch loss=0.213172, epoch loss=3.163389 Batch=959, step=11760, lr=0.151250, batch loss=0.169633, epoch loss=3.333022 Batch=1019, step=11820, lr=0.150750, batch loss=0.264603, epoch loss=3.597626 Batch=1079, step=11880, lr=0.150750, batch loss=0.151826, epoch loss=3.749451 Batch=1139, step=11940, lr=0.150500, batch loss=0.185277, epoch loss=3.934729 Batch=1199, step=12000, lr=0.150250, batch loss=0.139505, epoch loss=4.074234 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074234 Batch=59, step=12060, lr=0.150000, batch loss=0.158763, epoch loss=0.158763 Batch=119, step=12120, lr=0.149750, batch loss=0.128661, epoch loss=0.287424 Batch=179, step=12180, lr=0.149250, batch loss=0.152994, epoch loss=0.440418 Batch=239, step=12240, lr=0.149000, batch loss=0.221856, epoch loss=0.662274 Batch=299, step=12300, lr=0.149000, batch loss=0.144764, epoch loss=0.807039 Batch=359, step=12360, lr=0.148750, batch loss=0.195873, epoch loss=1.002912 Batch=419, step=12420, lr=0.148500, batch loss=0.207479, epoch loss=1.210391 Batch=479, step=12480, lr=0.148250, batch loss=0.178631, epoch loss=1.389022 Batch=539, step=12540, lr=0.148000, batch loss=0.143038, epoch loss=1.532060 Batch=599, step=12600, lr=0.147750, batch loss=0.151024, epoch loss=1.683085 Batch=659, step=12660, lr=0.147500, batch loss=0.225250, epoch loss=1.908335 Batch=719, step=12720, lr=0.147250, batch loss=0.234161, epoch loss=2.142496 Batch=779, step=12780, lr=0.146750, batch loss=0.253673, epoch loss=2.396169 Batch=839, step=12840, lr=0.146750, batch loss=0.231706, epoch loss=2.627875 Batch=899, step=12900, lr=0.146250, batch loss=0.216826, epoch loss=2.844701 Batch=959, step=12960, lr=0.146250, batch loss=0.158465, epoch loss=3.003166 Batch=1019, step=13020, lr=0.146000, batch loss=0.260028, epoch loss=3.263194 Batch=1079, step=13080, lr=0.145750, batch loss=0.114668, epoch loss=3.377863 Batch=1139, step=13140, lr=0.145500, batch loss=0.154678, epoch loss=3.532541 Batch=1199, step=13200, lr=0.145250, batch loss=0.117963, epoch loss=3.650504 Epoch=10, step=13200, lr=0.145250, epoch loss=3.650504 Batch=59, step=13260, lr=0.145000, batch loss=0.144685, epoch loss=0.144685 Batch=119, step=13320, lr=0.144750, batch loss=0.119144, epoch loss=0.263829 Batch=179, step=13380, lr=0.144500, batch loss=0.129014, epoch loss=0.392844 Batch=239, step=13440, lr=0.144250, batch loss=0.190719, epoch loss=0.583563 Batch=299, step=13500, lr=0.144000, batch loss=0.113663, epoch loss=0.697226 Batch=359, step=13560, lr=0.143750, batch loss=0.161601, epoch loss=0.858827 Batch=419, step=13620, lr=0.143500, batch loss=0.160996, epoch loss=1.019823 Batch=479, step=13680, lr=0.143250, batch loss=0.148555, epoch loss=1.168378 Batch=539, step=13740, lr=0.143000, batch loss=0.117813, epoch loss=1.286191 Batch=599, step=13800, lr=0.142750, batch loss=0.120675, epoch loss=1.406866 Batch=659, step=13860, lr=0.142500, batch loss=0.178074, epoch loss=1.584940 Batch=719, step=13920, lr=0.142250, batch loss=0.174376, epoch loss=1.759315 Batch=779, step=13980, lr=0.142000, batch loss=0.179670, epoch loss=1.938985 Batch=839, step=14040, lr=0.141750, batch loss=0.182510, epoch loss=2.121495 Batch=899, step=14100, lr=0.141500, batch loss=0.157223, epoch loss=2.278718 Batch=959, step=14160, lr=0.141250, batch loss=0.152184, epoch loss=2.430902 Batch=1019, step=14220, lr=0.141000, batch loss=0.346651, epoch loss=2.777553 Batch=1079, step=14280, lr=0.140750, batch loss=0.080100, epoch loss=2.857653 Batch=1139, step=14340, lr=0.140500, batch loss=0.124005, epoch loss=2.981658 Batch=1199, step=14400, lr=0.140250, batch loss=0.092473, epoch loss=3.074131 Epoch=11, step=14400, lr=0.140250, epoch loss=3.074131 Batch=59, step=14460, lr=0.140000, batch loss=0.112002, epoch loss=0.112002 Batch=119, step=14520, lr=0.139750, batch loss=0.102981, epoch loss=0.214982 Batch=179, step=14580, lr=0.139500, batch loss=0.106570, epoch loss=0.321552 Batch=239, step=14640, lr=0.139250, batch loss=0.143126, epoch loss=0.464678 Batch=299, step=14700, lr=0.139000, batch loss=0.079127, epoch loss=0.543806 Batch=359, step=14760, lr=0.138750, batch loss=0.120742, epoch loss=0.664547 Batch=419, step=14820, lr=0.138500, batch loss=0.126385, epoch loss=0.790932 Batch=479, step=14880, lr=0.138250, batch loss=0.102394, epoch loss=0.893326 Batch=539, step=14940, lr=0.138000, batch loss=0.099967, epoch loss=0.993293 Batch=599, step=15000, lr=0.137750, batch loss=0.085229, epoch loss=1.078522 Batch=659, step=15060, lr=0.137500, batch loss=0.128947, epoch loss=1.207469 Batch=719, step=15120, lr=0.137250, batch loss=0.131589, epoch loss=1.339058 Batch=779, step=15180, lr=0.137000, batch loss=0.169076, epoch loss=1.508133 Batch=839, step=15240, lr=0.136750, batch loss=0.156327, epoch loss=1.664460 Batch=899, step=15300, lr=0.136500, batch loss=0.222698, epoch loss=1.887158 Batch=959, step=15360, lr=0.136250, batch loss=0.055077, epoch loss=1.942235 Batch=1019, step=15420, lr=0.136000, batch loss=0.137613, epoch loss=2.079848 Batch=1079, step=15480, lr=0.135750, batch loss=0.049616, epoch loss=2.129464 Batch=1139, step=15540, lr=0.135500, batch loss=0.110781, epoch loss=2.240245 Batch=1199, step=15600, lr=0.135250, batch loss=0.060785, epoch loss=2.301030 Epoch=12, step=15600, lr=0.135250, epoch loss=2.301030 Batch=59, step=15660, lr=0.135000, batch loss=0.079149, epoch loss=0.079149 Batch=119, step=15720, lr=0.134750, batch loss=0.120159, epoch loss=0.199308 Batch=179, step=15780, lr=0.134500, batch loss=0.090058, epoch loss=0.289367 Batch=239, step=15840, lr=0.134250, batch loss=0.093976, epoch loss=0.383343 Batch=299, step=15900, lr=0.133750, batch loss=0.039585, epoch loss=0.422927 Batch=359, step=15960, lr=0.133750, batch loss=0.082638, epoch loss=0.505565 Batch=419, step=16020, lr=0.133250, batch loss=0.079328, epoch loss=0.584894 Batch=479, step=16080, lr=0.133000, batch loss=0.059776, epoch loss=0.644669 Batch=539, step=16140, lr=0.133000, batch loss=0.063646, epoch loss=0.708315 Batch=599, step=16200, lr=0.132750, batch loss=0.150536, epoch loss=0.858851 Batch=659, step=16260, lr=0.132500, batch loss=0.087116, epoch loss=0.945968 Batch=719, step=16320, lr=0.132250, batch loss=0.136269, epoch loss=1.082236 Batch=779, step=16380, lr=0.132000, batch loss=0.323370, epoch loss=1.405607 Batch=839, step=16440, lr=0.131750, batch loss=0.099069, epoch loss=1.504675 Batch=899, step=16500, lr=0.131500, batch loss=0.088628, epoch loss=1.593304 Batch=959, step=16560, lr=0.131250, batch loss=0.034008, epoch loss=1.627311 Batch=1019, step=16620, lr=0.131000, batch loss=0.059887, epoch loss=1.687199 Batch=1079, step=16680, lr=0.130750, batch loss=0.057388, epoch loss=1.744587 Batch=1139, step=16740, lr=0.130500, batch loss=0.102742, epoch loss=1.847329 Batch=1199, step=16800, lr=0.130250, batch loss=0.052796, epoch loss=1.900124 Epoch=13, step=16800, lr=0.130250, epoch loss=1.900124 Batch=59, step=16860, lr=0.130000, batch loss=0.035375, epoch loss=0.035375 Batch=119, step=16920, lr=0.129750, batch loss=0.034320, epoch loss=0.069695 Batch=179, step=16980, lr=0.129500, batch loss=0.047363, epoch loss=0.117058 Batch=239, step=17040, lr=0.129250, batch loss=0.060284, epoch loss=0.177342 Batch=299, step=17100, lr=0.128750, batch loss=0.019244, epoch loss=0.196586 Batch=359, step=17160, lr=0.128750, batch loss=0.043959, epoch loss=0.240545 Batch=419, step=17220, lr=0.128500, batch loss=0.046397, epoch loss=0.286942 Batch=479, step=17280, lr=0.128250, batch loss=0.037975, epoch loss=0.324916 Batch=539, step=17340, lr=0.128000, batch loss=0.095071, epoch loss=0.419988 Batch=599, step=17400, lr=0.127750, batch loss=0.041370, epoch loss=0.461358 Batch=659, step=17460, lr=0.127500, batch loss=0.051222, epoch loss=0.512579 Batch=719, step=17520, lr=0.127250, batch loss=0.045431, epoch loss=0.558011 Batch=779, step=17580, lr=0.127000, batch loss=0.078904, epoch loss=0.636915 Batch=839, step=17640, lr=0.126750, batch loss=0.068827, epoch loss=0.705742 Batch=899, step=17700, lr=0.126500, batch loss=0.082334, epoch loss=0.788075 Batch=959, step=17760, lr=0.126250, batch loss=0.024018, epoch loss=0.812094 Batch=1019, step=17820, lr=0.126000, batch loss=0.051288, epoch loss=0.863382 Batch=1079, step=17880, lr=0.125750, batch loss=0.037201, epoch loss=0.900583 Batch=1139, step=17940, lr=0.125500, batch loss=0.062711, epoch loss=0.963294 Batch=1199, step=18000, lr=0.125250, batch loss=0.022497, epoch loss=0.985791 Epoch=14, step=18000, lr=0.125250, epoch loss=0.985791 Batch=59, step=18060, lr=0.125000, batch loss=0.013258, epoch loss=0.013258 Batch=119, step=18120, lr=0.124750, batch loss=0.019029, epoch loss=0.032287 Batch=179, step=18180, lr=0.124500, batch loss=0.030394, epoch loss=0.062680 Batch=239, step=18240, lr=0.124250, batch loss=0.039776, epoch loss=0.102456 Batch=299, step=18300, lr=0.124000, batch loss=0.017378, epoch loss=0.119834 Batch=359, step=18360, lr=0.123500, batch loss=0.024204, epoch loss=0.144038 Batch=419, step=18420, lr=0.123250, batch loss=0.030391, epoch loss=0.174429 Batch=479, step=18480, lr=0.123250, batch loss=0.016180, epoch loss=0.190609 Batch=539, step=18540, lr=0.123000, batch loss=0.026382, epoch loss=0.216991 Batch=599, step=18600, lr=0.122750, batch loss=0.026783, epoch loss=0.243774 Batch=659, step=18660, lr=0.122500, batch loss=0.028429, epoch loss=0.272203 Batch=719, step=18720, lr=0.122250, batch loss=0.031857, epoch loss=0.304060 Batch=779, step=18780, lr=0.122000, batch loss=0.078419, epoch loss=0.382479 Batch=839, step=18840, lr=0.121750, batch loss=0.054818, epoch loss=0.437298 Batch=899, step=18900, lr=0.121500, batch loss=0.058996, epoch loss=0.496294 Batch=959, step=18960, lr=0.121250, batch loss=0.014790, epoch loss=0.511083 Batch=1019, step=19020, lr=0.121000, batch loss=0.021117, epoch loss=0.532201 Batch=1079, step=19080, lr=0.120750, batch loss=0.010471, epoch loss=0.542672 Batch=1139, step=19140, lr=0.120500, batch loss=0.022599, epoch loss=0.565271 Batch=1199, step=19200, lr=0.120250, batch loss=0.008758, epoch loss=0.574029 Epoch=15, step=19200, lr=0.120250, epoch loss=0.574029 Batch=59, step=19260, lr=0.119750, batch loss=0.004116, epoch loss=0.004116 Batch=119, step=19320, lr=0.119750, batch loss=0.011562, epoch loss=0.015678 Batch=179, step=19380, lr=0.119500, batch loss=0.021537, epoch loss=0.037215 Batch=239, step=19440, lr=0.119250, batch loss=0.022375, epoch loss=0.059590 Batch=299, step=19500, lr=0.119000, batch loss=0.018817, epoch loss=0.078407 Batch=359, step=19560, lr=0.118750, batch loss=0.039087, epoch loss=0.117494 Batch=419, step=19620, lr=0.118500, batch loss=0.021844, epoch loss=0.139338 Batch=479, step=19680, lr=0.118250, batch loss=0.006908, epoch loss=0.146246 Batch=539, step=19740, lr=0.118000, batch loss=0.019195, epoch loss=0.165441 Batch=599, step=19800, lr=0.117750, batch loss=0.023722, epoch loss=0.189163 Batch=659, step=19860, lr=0.117500, batch loss=0.019471, epoch loss=0.208633 Batch=719, step=19920, lr=0.117250, batch loss=0.041984, epoch loss=0.250617 Batch=779, step=19980, lr=0.117000, batch loss=0.075243, epoch loss=0.325860 Batch=839, step=20040, lr=0.116750, batch loss=0.030592, epoch loss=0.356452 Batch=899, step=20100, lr=0.116500, batch loss=0.030429, epoch loss=0.386881 Batch=959, step=20160, lr=0.116250, batch loss=0.011403, epoch loss=0.398284 Batch=1019, step=20220, lr=0.116000, batch loss=0.013013, epoch loss=0.411297 Batch=1079, step=20280, lr=0.115750, batch loss=0.002883, epoch loss=0.414179 Batch=1139, step=20340, lr=0.115500, batch loss=0.016212, epoch loss=0.430392 Batch=1199, step=20400, lr=0.115250, batch loss=0.006253, epoch loss=0.436645 Epoch=16, step=20400, lr=0.115250, epoch loss=0.436645 Batch=59, step=20460, lr=0.115000, batch loss=0.002504, epoch loss=0.002504 Batch=119, step=20520, lr=0.114750, batch loss=0.011913, epoch loss=0.014417 Batch=179, step=20580, lr=0.114500, batch loss=0.023837, epoch loss=0.038254 Batch=239, step=20640, lr=0.114250, batch loss=0.017285, epoch loss=0.055539 Batch=299, step=20700, lr=0.114000, batch loss=0.004879, epoch loss=0.060418 Batch=359, step=20760, lr=0.113750, batch loss=0.013831, epoch loss=0.074249 Batch=419, step=20820, lr=0.113500, batch loss=0.014936, epoch loss=0.089185 Batch=479, step=20880, lr=0.113250, batch loss=0.005531, epoch loss=0.094716 Batch=539, step=20940, lr=0.113000, batch loss=0.016139, epoch loss=0.110855 Batch=599, step=21000, lr=0.112500, batch loss=0.018070, epoch loss=0.128924 Batch=659, step=21060, lr=0.112500, batch loss=0.015057, epoch loss=0.143982 Batch=719, step=21120, lr=0.112250, batch loss=0.040510, epoch loss=0.184491 Batch=779, step=21180, lr=0.112000, batch loss=0.069603, epoch loss=0.254094 Batch=839, step=21240, lr=0.111750, batch loss=0.025127, epoch loss=0.279222 Batch=899, step=21300, lr=0.111500, batch loss=0.030422, epoch loss=0.309643 Batch=959, step=21360, lr=0.111250, batch loss=0.010921, epoch loss=0.320564 Batch=1019, step=21420, lr=0.111000, batch loss=0.013466, epoch loss=0.334030 Batch=1079, step=21480, lr=0.110750, batch loss=0.000841, epoch loss=0.334871 Batch=1139, step=21540, lr=0.110500, batch loss=0.013029, epoch loss=0.347900 Batch=1199, step=21600, lr=0.110250, batch loss=0.004864, epoch loss=0.352764 Epoch=17, step=21600, lr=0.110250, epoch loss=0.352764 Batch=59, step=21660, lr=0.110000, batch loss=0.001680, epoch loss=0.001680 Batch=119, step=21720, lr=0.109750, batch loss=0.007234, epoch loss=0.008913 Batch=179, step=21780, lr=0.109500, batch loss=0.012186, epoch loss=0.021099 Batch=239, step=21840, lr=0.109250, batch loss=0.011421, epoch loss=0.032520 Batch=299, step=21900, lr=0.109000, batch loss=0.010764, epoch loss=0.043284 Batch=359, step=21960, lr=0.108750, batch loss=0.013897, epoch loss=0.057182 Batch=419, step=22020, lr=0.108500, batch loss=0.013288, epoch loss=0.070469 Batch=479, step=22080, lr=0.108250, batch loss=0.003172, epoch loss=0.073641 Batch=539, step=22140, lr=0.108000, batch loss=0.016361, epoch loss=0.090002 Batch=599, step=22200, lr=0.107750, batch loss=0.015459, epoch loss=0.105460 Batch=659, step=22260, lr=0.107500, batch loss=0.011345, epoch loss=0.116805 Batch=719, step=22320, lr=0.107250, batch loss=0.019193, epoch loss=0.135998 Batch=779, step=22380, lr=0.107000, batch loss=0.024116, epoch loss=0.160114 Batch=839, step=22440, lr=0.106750, batch loss=0.026991, epoch loss=0.187106 Batch=899, step=22500, lr=0.106500, batch loss=0.026319, epoch loss=0.213424 Batch=959, step=22560, lr=0.106250, batch loss=0.008821, epoch loss=0.222245 Batch=1019, step=22620, lr=0.106000, batch loss=0.008550, epoch loss=0.230795 Batch=1079, step=22680, lr=0.105750, batch loss=0.000598, epoch loss=0.231394 Batch=1139, step=22740, lr=0.105500, batch loss=0.010624, epoch loss=0.242017 Batch=1199, step=22800, lr=0.105250, batch loss=0.004883, epoch loss=0.246901 Epoch=18, step=22800, lr=0.105250, epoch loss=0.246901 Batch=59, step=22860, lr=0.105000, batch loss=0.001618, epoch loss=0.001618 Batch=119, step=22920, lr=0.104750, batch loss=0.005489, epoch loss=0.007107 Batch=179, step=22980, lr=0.104500, batch loss=0.010446, epoch loss=0.017553 Batch=239, step=23040, lr=0.104250, batch loss=0.008853, epoch loss=0.026406 Batch=299, step=23100, lr=0.104000, batch loss=0.006792, epoch loss=0.033198 Batch=359, step=23160, lr=0.103750, batch loss=0.012073, epoch loss=0.045271 Batch=419, step=23220, lr=0.103500, batch loss=0.011129, epoch loss=0.056401 Batch=479, step=23280, lr=0.103250, batch loss=0.002885, epoch loss=0.059286 Batch=539, step=23340, lr=0.103000, batch loss=0.016615, epoch loss=0.075901 Batch=599, step=23400, lr=0.102750, batch loss=0.013446, epoch loss=0.089346 Batch=659, step=23460, lr=0.102500, batch loss=0.011502, epoch loss=0.100849 Batch=719, step=23520, lr=0.102250, batch loss=0.012218, epoch loss=0.113066 Batch=779, step=23580, lr=0.102000, batch loss=0.018384, epoch loss=0.131450 Batch=839, step=23640, lr=0.101750, batch loss=0.027681, epoch loss=0.159131 Batch=899, step=23700, lr=0.101500, batch loss=0.021531, epoch loss=0.180662 Batch=959, step=23760, lr=0.101250, batch loss=0.008247, epoch loss=0.188909 Batch=1019, step=23820, lr=0.101000, batch loss=0.007306, epoch loss=0.196215 Batch=1079, step=23880, lr=0.100750, batch loss=0.000745, epoch loss=0.196960 Batch=1139, step=23940, lr=0.100500, batch loss=0.008569, epoch loss=0.205530 Batch=1199, step=24000, lr=0.100000, batch loss=0.004573, epoch loss=0.210103 Epoch=19, step=24000, lr=0.100000, epoch loss=0.210103 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 2025-06-05 13:31.39: Job failed: Failed: Build failed