2025-06-05 13:22.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (12bc3d565917e3fd58e02b846b19d1bac90a0ae3) (linux-x86_64:fedora-42-5.3_opam-2.3) Base: ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 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:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 # fedora-42-5.3_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 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:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-06-05 13:22.25: Using OBuilder spec: ((from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) (comment fedora-42-5.3_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 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 13:29.09: Got resource from pool OCluster Building on clete.caelum.ci.dev HEAD is now at 24ee10fe Support padding via pre-padded ndarrays (my idea, Claude's code) HEAD is now at 12bc3d56 Factor out dim_solved, bug fix s_dim_one, formatting (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-06-05 13:29.15 ---> using "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" from cache /: (comment fedora-42-5.3_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 42 openh264 (From Cisco) - x86_ 100% | 3.3 KiB/s | 989.0 B | 00m00s Fedora 42 - x86_64 - Updates 100% | 192.1 KiB/s | 25.5 KiB | 00m00s Fedora 42 - x86_64 100% | 188.6 KiB/s | 25.1 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 6.2 MiB/s | 5.9 MiB | 00m01s Fedora 42 - x86_64 100% | 406.1 KiB/s | 310.7 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-06-05 13:29.15 ---> using "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-05 13:29.15 ---> using "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" 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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-05 13:29.15 ---> using "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" 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 13:29.15 ---> using "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-05 13:29.15 ---> using "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" 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 0d013e603b..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 13:29.15 ---> using "ee8af8211e5c5ecf302e823548c3b2f87c2bde8334f39830aad7be5e3a2c6908" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-05 13:29.15 ---> using "2f756eb664554852ce2b3c34fa40c2ead32b4d7864e3b3cee09592b47954d48f" 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 13:29.15 ---> using "b76885011f6d67da529bd986e246b989de876784904e5bf71b5b0af1493b6ae5" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-05 13:29.15 ---> using "e72d5ca3d83c85e68539d347e412899a5ff41cfaefed3d66e8fc5d941bbf2c67" 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/sbin/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/sbin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-5.fc42 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-0:3.4.6-5.fc42.x86_6 100% | 378.7 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 111.6 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 20.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 504.2 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-06-05 13:29.15 ---> using "e482a3250adb5bc1b328bcabca67bd2a4cd7c378573b254171d32c9a591cefaa" 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 bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (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 integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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 ppx_fields_conv.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved 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 stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed fmt.0.10.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> 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-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-syntax-shims.1.0.0 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed ocaml-compiler-libs.v0.17.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> 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 base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed printbox-ext-plot.0.12 -> 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_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-05 13:29.15 ---> using "c000179a9f9049e8e799dce33f873fd52ce1d45f1cbe5a8593c19cb58474eecf" from cache /src: (copy (src .) (dst /src)) 2025-06-05 13:29.16 ---> saved as "63eb890cddb144675a4e7dead673af9a109156fa1b2808b008ca9f4dfc2dd854" /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/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cd935b24bc250120dad6f761052c25cf/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b1a61301b45013f7b67c1b233ceeb40f/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/b1a61301b45013f7b67c1b233ceeb40f/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=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199000, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.198750, batch loss=1.435625, epoch loss=37.061721 Batch=359, step=360, lr=0.198500, batch loss=1.338357, epoch loss=38.400078 Batch=419, step=420, lr=0.198500, batch loss=0.611323, epoch loss=39.011400 Batch=479, step=480, lr=0.198000, batch loss=0.746689, epoch loss=39.758089 Batch=539, step=540, lr=0.198000, batch loss=0.689211, epoch loss=40.447300 Batch=599, step=600, lr=0.197500, batch loss=1.103877, epoch loss=41.551177 Batch=659, step=660, lr=0.197250, batch loss=0.481503, epoch loss=42.032679 Batch=719, step=720, lr=0.197000, batch loss=0.410591, epoch loss=42.443271 Batch=779, step=780, lr=0.196750, batch loss=0.469527, epoch loss=42.912798 Batch=839, step=840, lr=0.196500, batch loss=0.450124, epoch loss=43.362922 Batch=899, step=900, lr=0.196250, batch loss=0.383420, epoch loss=43.746342 Batch=959, step=960, lr=0.196000, batch loss=0.257925, epoch loss=44.004268 Batch=1019, step=1020, lr=0.195750, batch loss=0.485868, epoch loss=44.490135 Batch=1079, step=1080, lr=0.195500, batch loss=0.268737, epoch loss=44.758872 Batch=1139, step=1140, lr=0.195250, batch loss=0.339240, epoch loss=45.098112 Batch=1199, step=1200, lr=0.195000, batch loss=0.265193, epoch loss=45.363305 Epoch=0, step=1200, lr=0.195000, epoch loss=45.363305 Batch=59, step=1260, lr=0.194750, batch loss=0.265078, epoch loss=0.265078 Batch=119, step=1320, lr=0.194750, batch loss=0.204817, epoch loss=0.469896 Batch=179, step=1380, lr=0.194500, batch loss=0.245812, epoch loss=0.715708 Batch=239, step=1440, lr=0.194250, batch loss=0.349544, epoch loss=1.065252 Batch=299, step=1500, lr=0.193750, batch loss=0.237786, epoch loss=1.303038 Batch=359, step=1560, lr=0.193500, batch loss=0.311830, epoch loss=1.614868 Batch=419, step=1620, lr=0.193250, batch loss=0.309674, epoch loss=1.924542 Batch=479, step=1680, lr=0.193000, batch loss=0.275318, epoch loss=2.199860 Batch=539, step=1740, lr=0.192750, batch loss=0.211185, epoch loss=2.411046 Batch=599, step=1800, lr=0.192500, batch loss=0.252214, epoch loss=2.663260 Batch=659, step=1860, lr=0.192250, batch loss=0.369756, epoch loss=3.033016 Batch=719, step=1920, lr=0.192000, batch loss=0.367795, epoch loss=3.400810 Batch=779, step=1980, lr=0.192000, batch loss=0.383305, epoch loss=3.784115 Batch=839, step=2040, lr=0.191750, batch loss=0.342460, epoch loss=4.126576 Batch=899, step=2100, lr=0.191500, batch loss=0.296755, epoch loss=4.423331 Batch=959, step=2160, lr=0.191000, batch loss=0.215777, epoch loss=4.639108 Batch=1019, step=2220, lr=0.191000, batch loss=0.330581, epoch loss=4.969689 Batch=1079, step=2280, lr=0.190750, batch loss=0.197195, epoch loss=5.166883 Batch=1139, step=2340, lr=0.190500, batch loss=0.262977, epoch loss=5.429860 Batch=1199, step=2400, lr=0.190250, batch loss=0.212110, epoch loss=5.641970 Epoch=1, step=2400, lr=0.190250, epoch loss=5.641970 Batch=59, step=2460, lr=0.189750, batch loss=0.234294, epoch loss=0.234294 Batch=119, step=2520, lr=0.189500, batch loss=0.197801, epoch loss=0.432095 Batch=179, step=2580, lr=0.189250, batch loss=0.220535, epoch loss=0.652630 Batch=239, step=2640, lr=0.189250, batch loss=0.328922, epoch loss=0.981552 Batch=299, step=2700, lr=0.188750, batch loss=0.207322, epoch loss=1.188874 Batch=359, step=2760, lr=0.188750, batch loss=0.291740, epoch loss=1.480613 Batch=419, step=2820, lr=0.188250, batch loss=0.283197, epoch loss=1.763811 Batch=479, step=2880, lr=0.188000, batch loss=0.263509, epoch loss=2.027319 Batch=539, step=2940, lr=0.188000, batch loss=0.207053, epoch loss=2.234372 Batch=599, step=3000, lr=0.187750, batch loss=0.257485, epoch loss=2.491857 Batch=659, step=3060, lr=0.187500, batch loss=0.358005, epoch loss=2.849862 Batch=719, step=3120, lr=0.187250, batch loss=0.350175, epoch loss=3.200037 Batch=779, step=3180, lr=0.186750, batch loss=0.363560, epoch loss=3.563597 Batch=839, step=3240, lr=0.186750, batch loss=0.326678, epoch loss=3.890274 Batch=899, step=3300, lr=0.186500, batch loss=0.295775, epoch loss=4.186049 Batch=959, step=3360, lr=0.186000, batch loss=0.227060, epoch loss=4.413109 Batch=1019, step=3420, lr=0.186000, batch loss=0.338725, epoch loss=4.751834 Batch=1079, step=3480, lr=0.185750, batch loss=0.190677, epoch loss=4.942511 Batch=1139, step=3540, lr=0.185500, batch loss=0.238357, epoch loss=5.180868 Batch=1199, step=3600, lr=0.185250, batch loss=0.200218, epoch loss=5.381086 Epoch=2, step=3600, lr=0.185250, epoch loss=5.381086 Batch=59, step=3660, lr=0.185000, batch loss=0.222014, epoch loss=0.222014 Batch=119, step=3720, lr=0.184750, batch loss=0.187235, epoch loss=0.409249 Batch=179, step=3780, lr=0.184500, batch loss=0.212343, epoch loss=0.621593 Batch=239, step=3840, lr=0.184250, batch loss=0.318064, epoch loss=0.939656 Batch=299, step=3900, lr=0.184000, batch loss=0.204872, epoch loss=1.144528 Batch=359, step=3960, lr=0.183750, batch loss=0.283431, epoch loss=1.427959 Batch=419, step=4020, lr=0.183500, batch loss=0.273583, epoch loss=1.701542 Batch=479, step=4080, lr=0.183250, batch loss=0.253077, epoch loss=1.954619 Batch=539, step=4140, lr=0.183000, batch loss=0.191164, epoch loss=2.145783 Batch=599, step=4200, lr=0.182750, batch loss=0.234144, epoch loss=2.379928 Batch=659, step=4260, lr=0.182500, batch loss=0.336613, epoch loss=2.716540 Batch=719, step=4320, lr=0.182000, batch loss=0.349210, epoch loss=3.065750 Batch=779, step=4380, lr=0.181750, batch loss=0.347182, epoch loss=3.412932 Batch=839, step=4440, lr=0.181500, batch loss=0.319007, epoch loss=3.731939 Batch=899, step=4500, lr=0.181250, batch loss=0.293797, epoch loss=4.025736 Batch=959, step=4560, lr=0.181250, batch loss=0.244266, epoch loss=4.270001 Batch=1019, step=4620, lr=0.181000, batch loss=0.343594, epoch loss=4.613595 Batch=1079, step=4680, lr=0.180750, batch loss=0.222029, epoch loss=4.835624 Batch=1139, step=4740, lr=0.180500, batch loss=0.249724, epoch loss=5.085349 Batch=1199, step=4800, lr=0.180250, batch loss=0.192173, epoch loss=5.277521 Epoch=3, step=4800, lr=0.180250, epoch loss=5.277521 Batch=59, step=4860, lr=0.180000, batch loss=0.224972, epoch loss=0.224972 Batch=119, step=4920, lr=0.179750, batch loss=0.187223, epoch loss=0.412194 Batch=179, step=4980, lr=0.179500, batch loss=0.206307, epoch loss=0.618501 Batch=239, step=5040, lr=0.179250, batch loss=0.308107, epoch loss=0.926608 Batch=299, step=5100, lr=0.178750, batch loss=0.201373, epoch loss=1.127981 Batch=359, step=5160, lr=0.178500, batch loss=0.274209, epoch loss=1.402191 Batch=419, step=5220, lr=0.178250, batch loss=0.264707, epoch loss=1.666898 Batch=479, step=5280, lr=0.178250, batch loss=0.240865, epoch loss=1.907763 Batch=539, step=5340, lr=0.177750, batch loss=0.189430, epoch loss=2.097192 Batch=599, step=5400, lr=0.177750, batch loss=0.232967, epoch loss=2.330160 Batch=659, step=5460, lr=0.177500, batch loss=0.323421, epoch loss=2.653581 Batch=719, step=5520, lr=0.177000, batch loss=0.326926, epoch loss=2.980507 Batch=779, step=5580, lr=0.177000, batch loss=0.344153, epoch loss=3.324660 Batch=839, step=5640, lr=0.176500, batch loss=0.309872, epoch loss=3.634532 Batch=899, step=5700, lr=0.176250, batch loss=0.272104, epoch loss=3.906636 Batch=959, step=5760, lr=0.176250, batch loss=0.217810, epoch loss=4.124446 Batch=1019, step=5820, lr=0.176000, batch loss=0.339732, epoch loss=4.464179 Batch=1079, step=5880, lr=0.175500, batch loss=0.212341, epoch loss=4.676520 Batch=1139, step=5940, lr=0.175250, batch loss=0.238472, epoch loss=4.914992 Batch=1199, step=6000, lr=0.175000, batch loss=0.187397, epoch loss=5.102389 Epoch=4, step=6000, lr=0.175000, epoch loss=5.102389 Batch=59, step=6060, lr=0.174750, batch loss=0.233565, epoch loss=0.233565 Batch=119, step=6120, lr=0.174750, batch loss=0.192576, epoch loss=0.426141 Batch=179, step=6180, lr=0.174500, batch loss=0.201702, epoch loss=0.627843 Batch=239, step=6240, lr=0.174000, batch loss=0.303323, epoch loss=0.931166 Batch=299, step=6300, lr=0.173750, batch loss=0.212118, epoch loss=1.143283 Batch=359, step=6360, lr=0.173500, batch loss=0.271165, epoch loss=1.414448 Batch=419, step=6420, lr=0.173500, batch loss=0.265531, epoch loss=1.679979 Batch=479, step=6480, lr=0.173000, batch loss=0.245425, epoch loss=1.925404 Batch=539, step=6540, lr=0.172750, batch loss=0.192811, epoch loss=2.118215 Batch=599, step=6600, lr=0.172500, batch loss=0.230422, epoch loss=2.348637 Batch=659, step=6660, lr=0.172250, batch loss=0.316038, epoch loss=2.664674 Batch=719, step=6720, lr=0.172250, batch loss=0.316508, epoch loss=2.981183 Batch=779, step=6780, lr=0.171750, batch loss=0.331651, epoch loss=3.312834 Batch=839, step=6840, lr=0.171500, batch loss=0.305967, epoch loss=3.618800 Batch=899, step=6900, lr=0.171500, batch loss=0.265908, epoch loss=3.884708 Batch=959, step=6960, lr=0.171000, batch loss=0.212270, epoch loss=4.096978 Batch=1019, step=7020, lr=0.171000, batch loss=0.325869, epoch loss=4.422847 Batch=1079, step=7080, lr=0.170500, batch loss=0.176687, epoch loss=4.599534 Batch=1139, step=7140, lr=0.170250, batch loss=0.213446, epoch loss=4.812980 Batch=1199, step=7200, lr=0.170250, batch loss=0.186883, epoch loss=4.999863 Epoch=5, step=7200, lr=0.170250, epoch loss=4.999863 Batch=59, step=7260, lr=0.169750, batch loss=0.233457, epoch loss=0.233457 Batch=119, step=7320, lr=0.169750, batch loss=0.184521, epoch loss=0.417977 Batch=179, step=7380, lr=0.169250, batch loss=0.195968, epoch loss=0.613945 Batch=239, step=7440, lr=0.169250, batch loss=0.295628, epoch loss=0.909574 Batch=299, step=7500, lr=0.169000, batch loss=0.202758, epoch loss=1.112332 Batch=359, step=7560, lr=0.168750, batch loss=0.258601, epoch loss=1.370934 Batch=419, step=7620, lr=0.168250, batch loss=0.259352, epoch loss=1.630286 Batch=479, step=7680, lr=0.168250, batch loss=0.236007, epoch loss=1.866293 Batch=539, step=7740, lr=0.167750, batch loss=0.190937, epoch loss=2.057230 Batch=599, step=7800, lr=0.167750, batch loss=0.229697, epoch loss=2.286928 Batch=659, step=7860, lr=0.167250, batch loss=0.305276, epoch loss=2.592204 Batch=719, step=7920, lr=0.167000, batch loss=0.311750, epoch loss=2.903953 Batch=779, step=7980, lr=0.166750, batch loss=0.329585, epoch loss=3.233539 Batch=839, step=8040, lr=0.166500, batch loss=0.292553, epoch loss=3.526091 Batch=899, step=8100, lr=0.166500, batch loss=0.264931, epoch loss=3.791022 Batch=959, step=8160, lr=0.166250, batch loss=0.220726, epoch loss=4.011748 Batch=1019, step=8220, lr=0.166000, batch loss=0.313764, epoch loss=4.325513 Batch=1079, step=8280, lr=0.165750, batch loss=0.173674, epoch loss=4.499187 Batch=1139, step=8340, lr=0.165250, batch loss=0.210095, epoch loss=4.709282 Batch=1199, step=8400, lr=0.165250, batch loss=0.177756, epoch loss=4.887038 Epoch=6, step=8400, lr=0.165250, epoch loss=4.887038 Batch=59, step=8460, lr=0.165000, batch loss=0.230944, epoch loss=0.230944 Batch=119, step=8520, lr=0.164500, batch loss=0.175645, epoch loss=0.406589 Batch=179, step=8580, lr=0.164500, batch loss=0.188151, epoch loss=0.594740 Batch=239, step=8640, lr=0.164250, batch loss=0.281204, epoch loss=0.875944 Batch=299, step=8700, lr=0.163750, batch loss=0.198375, epoch loss=1.074320 Batch=359, step=8760, lr=0.163750, batch loss=0.252487, epoch loss=1.326807 Batch=419, step=8820, lr=0.163500, batch loss=0.249261, epoch loss=1.576068 Batch=479, step=8880, lr=0.163250, batch loss=0.227210, epoch loss=1.803278 Batch=539, step=8940, lr=0.163000, batch loss=0.182373, epoch loss=1.985651 Batch=599, step=9000, lr=0.162750, batch loss=0.215858, epoch loss=2.201509 Batch=659, step=9060, lr=0.162500, batch loss=0.295624, epoch loss=2.497133 Batch=719, step=9120, lr=0.162250, batch loss=0.293990, epoch loss=2.791123 Batch=779, step=9180, lr=0.162000, batch loss=0.318293, epoch loss=3.109416 Batch=839, step=9240, lr=0.161500, batch loss=0.286277, epoch loss=3.395693 Batch=899, step=9300, lr=0.161500, batch loss=0.252814, epoch loss=3.648507 Batch=959, step=9360, lr=0.161000, batch loss=0.190118, epoch loss=3.838626 Batch=1019, step=9420, lr=0.160750, batch loss=0.313196, epoch loss=4.151821 Batch=1079, step=9480, lr=0.160750, batch loss=0.185438, epoch loss=4.337259 Batch=1139, step=9540, lr=0.160500, batch loss=0.208484, epoch loss=4.545743 Batch=1199, step=9600, lr=0.160250, batch loss=0.166313, epoch loss=4.712056 Epoch=7, step=9600, lr=0.160250, epoch loss=4.712056 Batch=59, step=9660, lr=0.160000, batch loss=0.201773, epoch loss=0.201773 Batch=119, step=9720, lr=0.159750, batch loss=0.163509, epoch loss=0.365282 Batch=179, step=9780, lr=0.159500, batch loss=0.179356, epoch loss=0.544637 Batch=239, step=9840, lr=0.159250, batch loss=0.261398, epoch loss=0.806035 Batch=299, step=9900, lr=0.159000, batch loss=0.174737, epoch loss=0.980772 Batch=359, step=9960, lr=0.158750, batch loss=0.231702, epoch loss=1.212474 Batch=419, step=10020, lr=0.158500, batch loss=0.225805, epoch loss=1.438279 Batch=479, step=10080, lr=0.158250, batch loss=0.202660, epoch loss=1.640939 Batch=539, step=10140, lr=0.158000, batch loss=0.165740, epoch loss=1.806679 Batch=599, step=10200, lr=0.157750, batch loss=0.203472, epoch loss=2.010151 Batch=659, step=10260, lr=0.157500, batch loss=0.281960, epoch loss=2.292111 Batch=719, step=10320, lr=0.157250, batch loss=0.282940, epoch loss=2.575051 Batch=779, step=10380, lr=0.157000, batch loss=0.293489, epoch loss=2.868539 Batch=839, step=10440, lr=0.156750, batch loss=0.272420, epoch loss=3.140959 Batch=899, step=10500, lr=0.156500, batch loss=0.237070, epoch loss=3.378029 Batch=959, step=10560, lr=0.156250, batch loss=0.179124, epoch loss=3.557154 Batch=1019, step=10620, lr=0.156000, batch loss=0.300707, epoch loss=3.857861 Batch=1079, step=10680, lr=0.155750, batch loss=0.179593, epoch loss=4.037454 Batch=1139, step=10740, lr=0.155500, batch loss=0.201141, epoch loss=4.238595 Batch=1199, step=10800, lr=0.155250, batch loss=0.154826, epoch loss=4.393422 Epoch=8, step=10800, lr=0.155250, epoch loss=4.393422 Batch=59, step=10860, lr=0.155000, batch loss=0.177800, epoch loss=0.177800 Batch=119, step=10920, lr=0.154500, batch loss=0.151289, epoch loss=0.329089 Batch=179, step=10980, lr=0.154250, batch loss=0.166395, epoch loss=0.495484 Batch=239, step=11040, lr=0.154250, batch loss=0.241098, epoch loss=0.736582 Batch=299, step=11100, lr=0.154000, batch loss=0.175110, epoch loss=0.911692 Batch=359, step=11160, lr=0.153750, batch loss=0.219013, epoch loss=1.130705 Batch=419, step=11220, lr=0.153500, batch loss=0.220012, epoch loss=1.350717 Batch=479, step=11280, lr=0.153000, batch loss=0.210213, epoch loss=1.560930 Batch=539, step=11340, lr=0.153000, batch loss=0.165851, epoch loss=1.726781 Batch=599, step=11400, lr=0.152750, batch loss=0.176485, epoch loss=1.903266 Batch=659, step=11460, lr=0.152500, batch loss=0.260686, epoch loss=2.163952 Batch=719, step=11520, lr=0.152250, batch loss=0.261808, epoch loss=2.425760 Batch=779, step=11580, lr=0.152000, batch loss=0.270080, epoch loss=2.695841 Batch=839, step=11640, lr=0.151750, batch loss=0.251384, epoch loss=2.947224 Batch=899, step=11700, lr=0.151500, batch loss=0.217237, epoch loss=3.164461 Batch=959, step=11760, lr=0.151000, batch loss=0.172689, epoch loss=3.337150 Batch=1019, step=11820, lr=0.150750, batch loss=0.261242, epoch loss=3.598392 Batch=1079, step=11880, lr=0.150750, batch loss=0.139231, epoch loss=3.737623 Batch=1139, step=11940, lr=0.150500, batch loss=0.177310, epoch loss=3.914934 Batch=1199, step=12000, lr=0.150250, batch loss=0.139101, epoch loss=4.054034 Epoch=9, step=12000, lr=0.150250, epoch loss=4.054034 Batch=59, step=12060, lr=0.149750, batch loss=0.160121, epoch loss=0.160121 Batch=119, step=12120, lr=0.149500, batch loss=0.137705, epoch loss=0.297826 Batch=179, step=12180, lr=0.149500, batch loss=0.151067, epoch loss=0.448893 Batch=239, step=12240, lr=0.149250, batch loss=0.219223, epoch loss=0.668116 Batch=299, step=12300, lr=0.149000, batch loss=0.142591, epoch loss=0.810706 Batch=359, step=12360, lr=0.148750, batch loss=0.196997, epoch loss=1.007703 Batch=419, step=12420, lr=0.148500, batch loss=0.207471, epoch loss=1.215174 Batch=479, step=12480, lr=0.148250, batch loss=0.177639, epoch loss=1.392813 Batch=539, step=12540, lr=0.148000, batch loss=0.143040, epoch loss=1.535853 Batch=599, step=12600, lr=0.147500, batch loss=0.148193, epoch loss=1.684046 Batch=659, step=12660, lr=0.147500, batch loss=0.227519, epoch loss=1.911565 Batch=719, step=12720, lr=0.147250, batch loss=0.237449, epoch loss=2.149014 Batch=779, step=12780, lr=0.147000, batch loss=0.262509, epoch loss=2.411523 Batch=839, step=12840, lr=0.146750, batch loss=0.231964, epoch loss=2.643487 Batch=899, step=12900, lr=0.146500, batch loss=0.205369, epoch loss=2.848856 Batch=959, step=12960, lr=0.146250, batch loss=0.141797, epoch loss=2.990653 Batch=1019, step=13020, lr=0.146000, batch loss=0.233898, epoch loss=3.224551 Batch=1079, step=13080, lr=0.145750, batch loss=0.111975, epoch loss=3.336526 Batch=1139, step=13140, lr=0.145500, batch loss=0.150915, epoch loss=3.487441 Batch=1199, step=13200, lr=0.145250, batch loss=0.116018, epoch loss=3.603459 Epoch=10, step=13200, lr=0.145250, epoch loss=3.603459 Batch=59, step=13260, lr=0.145000, batch loss=0.132639, epoch loss=0.132639 Batch=119, step=13320, lr=0.144750, batch loss=0.113671, epoch loss=0.246310 Batch=179, step=13380, lr=0.144500, batch loss=0.125802, epoch loss=0.372112 Batch=239, step=13440, lr=0.144250, batch loss=0.184637, epoch loss=0.556749 Batch=299, step=13500, lr=0.144000, batch loss=0.114336, epoch loss=0.671085 Batch=359, step=13560, lr=0.143500, batch loss=0.160020, epoch loss=0.831105 Batch=419, step=13620, lr=0.143500, batch loss=0.160917, epoch loss=0.992021 Batch=479, step=13680, lr=0.143250, batch loss=0.155004, epoch loss=1.147025 Batch=539, step=13740, lr=0.143000, batch loss=0.126770, epoch loss=1.273795 Batch=599, step=13800, lr=0.142750, batch loss=0.120524, epoch loss=1.394319 Batch=659, step=13860, lr=0.142500, batch loss=0.185681, epoch loss=1.580000 Batch=719, step=13920, lr=0.142000, batch loss=0.184822, epoch loss=1.764822 Batch=779, step=13980, lr=0.142000, batch loss=0.216208, epoch loss=1.981031 Batch=839, step=14040, lr=0.141750, batch loss=0.203395, epoch loss=2.184426 Batch=899, step=14100, lr=0.141500, batch loss=0.226364, epoch loss=2.410790 Batch=959, step=14160, lr=0.141250, batch loss=0.094802, epoch loss=2.505591 Batch=1019, step=14220, lr=0.141000, batch loss=0.189692, epoch loss=2.695283 Batch=1079, step=14280, lr=0.140500, batch loss=0.076998, epoch loss=2.772281 Batch=1139, step=14340, lr=0.140500, batch loss=0.124748, epoch loss=2.897029 Batch=1199, step=14400, lr=0.140000, batch loss=0.085191, epoch loss=2.982220 Epoch=11, step=14400, lr=0.140000, epoch loss=2.982220 Batch=59, step=14460, lr=0.139750, batch loss=0.104479, epoch loss=0.104479 Batch=119, step=14520, lr=0.139750, batch loss=0.099418, epoch loss=0.203897 Batch=179, step=14580, lr=0.139500, batch loss=0.099850, epoch loss=0.303747 Batch=239, step=14640, lr=0.139250, batch loss=0.140363, epoch loss=0.444111 Batch=299, step=14700, lr=0.139000, batch loss=0.075750, epoch loss=0.519861 Batch=359, step=14760, lr=0.138750, batch loss=0.119442, epoch loss=0.639303 Batch=419, step=14820, lr=0.138250, batch loss=0.129552, epoch loss=0.768855 Batch=479, step=14880, lr=0.138250, batch loss=0.100569, epoch loss=0.869424 Batch=539, step=14940, lr=0.138000, batch loss=0.123326, epoch loss=0.992750 Batch=599, step=15000, lr=0.137500, batch loss=0.088111, epoch loss=1.080860 Batch=659, step=15060, lr=0.137500, batch loss=0.146675, epoch loss=1.227535 Batch=719, step=15120, lr=0.137250, batch loss=0.156666, epoch loss=1.384201 Batch=779, step=15180, lr=0.137000, batch loss=0.214806, epoch loss=1.599008 Batch=839, step=15240, lr=0.136500, batch loss=0.150044, epoch loss=1.749052 Batch=899, step=15300, lr=0.136250, batch loss=0.146620, epoch loss=1.895672 Batch=959, step=15360, lr=0.136000, batch loss=0.087938, epoch loss=1.983611 Batch=1019, step=15420, lr=0.135750, batch loss=0.153935, epoch loss=2.137546 Batch=1079, step=15480, lr=0.135500, batch loss=0.050650, epoch loss=2.188195 Batch=1139, step=15540, lr=0.135250, batch loss=0.104162, epoch loss=2.292357 Batch=1199, step=15600, lr=0.135000, batch loss=0.061010, epoch loss=2.353368 Epoch=12, step=15600, lr=0.135000, epoch loss=2.353368 Batch=59, step=15660, lr=0.135000, batch loss=0.078697, epoch loss=0.078697 Batch=119, step=15720, lr=0.134500, batch loss=0.120370, epoch loss=0.199068 Batch=179, step=15780, lr=0.134250, batch loss=0.091471, epoch loss=0.290538 Batch=239, step=15840, lr=0.134000, batch loss=0.094515, epoch loss=0.385053 Batch=299, step=15900, lr=0.133750, batch loss=0.038474, epoch loss=0.423527 Batch=359, step=15960, lr=0.133500, batch loss=0.083766, epoch loss=0.507293 Batch=419, step=16020, lr=0.133500, batch loss=0.078161, epoch loss=0.585454 Batch=479, step=16080, lr=0.133250, batch loss=0.054452, epoch loss=0.639906 Batch=539, step=16140, lr=0.133000, batch loss=0.075595, epoch loss=0.715501 Batch=599, step=16200, lr=0.132750, batch loss=0.175935, epoch loss=0.891436 Batch=659, step=16260, lr=0.132250, batch loss=0.097877, epoch loss=0.989312 Batch=719, step=16320, lr=0.132000, batch loss=0.128812, epoch loss=1.118125 Batch=779, step=16380, lr=0.131750, batch loss=0.284294, epoch loss=1.402419 Batch=839, step=16440, lr=0.131750, batch loss=0.094461, epoch loss=1.496880 Batch=899, step=16500, lr=0.131500, batch loss=0.078654, epoch loss=1.575535 Batch=959, step=16560, lr=0.131000, batch loss=0.033898, epoch loss=1.609432 Batch=1019, step=16620, lr=0.131000, batch loss=0.065370, epoch loss=1.674802 Batch=1079, step=16680, lr=0.130750, batch loss=0.050011, epoch loss=1.724813 Batch=1139, step=16740, lr=0.130500, batch loss=0.091298, epoch loss=1.816111 Batch=1199, step=16800, lr=0.130250, batch loss=0.042589, epoch loss=1.858700 Epoch=13, step=16800, lr=0.130250, epoch loss=1.858700 Batch=59, step=16860, lr=0.130000, batch loss=0.034956, epoch loss=0.034956 Batch=119, step=16920, lr=0.129750, batch loss=0.037244, epoch loss=0.072200 Batch=179, step=16980, lr=0.129500, batch loss=0.043243, epoch loss=0.115443 Batch=239, step=17040, lr=0.129000, batch loss=0.060353, epoch loss=0.175796 Batch=299, step=17100, lr=0.128750, batch loss=0.023808, epoch loss=0.199604 Batch=359, step=17160, lr=0.128500, batch loss=0.049038, epoch loss=0.248642 Batch=419, step=17220, lr=0.128500, batch loss=0.084806, epoch loss=0.333447 Batch=479, step=17280, lr=0.128000, batch loss=0.025490, epoch loss=0.358937 Batch=539, step=17340, lr=0.128000, batch loss=0.028041, epoch loss=0.386978 Batch=599, step=17400, lr=0.127750, batch loss=0.035105, epoch loss=0.422082 Batch=659, step=17460, lr=0.127500, batch loss=0.045773, epoch loss=0.467856 Batch=719, step=17520, lr=0.127000, batch loss=0.039687, epoch loss=0.507543 Batch=779, step=17580, lr=0.127000, batch loss=0.039072, epoch loss=0.546615 Batch=839, step=17640, lr=0.126500, batch loss=0.056306, epoch loss=0.602921 Batch=899, step=17700, lr=0.126500, batch loss=0.062011, epoch loss=0.664933 Batch=959, step=17760, lr=0.126000, batch loss=0.034571, epoch loss=0.699503 Batch=1019, step=17820, lr=0.125750, batch loss=0.085633, epoch loss=0.785136 Batch=1079, step=17880, lr=0.125750, batch loss=0.022764, epoch loss=0.807900 Batch=1139, step=17940, lr=0.125500, batch loss=0.050187, epoch loss=0.858087 Batch=1199, step=18000, lr=0.125250, batch loss=0.021370, epoch loss=0.879457 Epoch=14, step=18000, lr=0.125250, epoch loss=0.879457 Batch=59, step=18060, lr=0.125000, batch loss=0.011502, epoch loss=0.011502 Batch=119, step=18120, lr=0.124500, batch loss=0.018562, epoch loss=0.030063 Batch=179, step=18180, lr=0.124500, batch loss=0.031384, epoch loss=0.061447 Batch=239, step=18240, lr=0.124250, batch loss=0.036339, epoch loss=0.097787 Batch=299, step=18300, lr=0.124000, batch loss=0.021039, epoch loss=0.118826 Batch=359, step=18360, lr=0.123500, batch loss=0.023999, epoch loss=0.142825 Batch=419, step=18420, lr=0.123500, batch loss=0.032484, epoch loss=0.175309 Batch=479, step=18480, lr=0.123250, batch loss=0.027377, epoch loss=0.202686 Batch=539, step=18540, lr=0.123000, batch loss=0.054584, epoch loss=0.257270 Batch=599, step=18600, lr=0.122750, batch loss=0.027402, epoch loss=0.284671 Batch=659, step=18660, lr=0.122500, batch loss=0.033954, epoch loss=0.318626 Batch=719, step=18720, lr=0.122250, batch loss=0.030353, epoch loss=0.348979 Batch=779, step=18780, lr=0.122000, batch loss=0.086263, epoch loss=0.435241 Batch=839, step=18840, lr=0.121750, batch loss=0.075278, epoch loss=0.510519 Batch=899, step=18900, lr=0.121500, batch loss=0.122530, epoch loss=0.633049 Batch=959, step=18960, lr=0.121250, batch loss=0.016125, epoch loss=0.649175 Batch=1019, step=19020, lr=0.121000, batch loss=0.022040, epoch loss=0.671215 Batch=1079, step=19080, lr=0.120750, batch loss=0.005236, epoch loss=0.676450 Batch=1139, step=19140, lr=0.120500, batch loss=0.023982, epoch loss=0.700432 Batch=1199, step=19200, lr=0.120250, batch loss=0.010200, epoch loss=0.710633 Epoch=15, step=19200, lr=0.120250, epoch loss=0.710633 Batch=59, step=19260, lr=0.119750, batch loss=0.004307, epoch loss=0.004307 Batch=119, step=19320, lr=0.119750, batch loss=0.011091, epoch loss=0.015398 Batch=179, step=19380, lr=0.119500, batch loss=0.020589, epoch loss=0.035987 Batch=239, step=19440, lr=0.119250, batch loss=0.036506, epoch loss=0.072493 Batch=299, step=19500, lr=0.119000, batch loss=0.023940, epoch loss=0.096433 Batch=359, step=19560, lr=0.118750, batch loss=0.019732, epoch loss=0.116165 Batch=419, step=19620, lr=0.118250, batch loss=0.019316, epoch loss=0.135481 Batch=479, step=19680, lr=0.118000, batch loss=0.006827, epoch loss=0.142308 Batch=539, step=19740, lr=0.118000, batch loss=0.016276, epoch loss=0.158583 Batch=599, step=19800, lr=0.117750, batch loss=0.023343, epoch loss=0.181926 Batch=659, step=19860, lr=0.117250, batch loss=0.019255, epoch loss=0.201182 Batch=719, step=19920, lr=0.117250, batch loss=0.046603, epoch loss=0.247784 Batch=779, step=19980, lr=0.116750, batch loss=0.076987, epoch loss=0.324772 Batch=839, step=20040, lr=0.116750, batch loss=0.029921, epoch loss=0.354692 Batch=899, step=20100, lr=0.116500, batch loss=0.036307, epoch loss=0.391000 Batch=959, step=20160, lr=0.116000, batch loss=0.011838, epoch loss=0.402838 Batch=1019, step=20220, lr=0.116000, batch loss=0.015513, epoch loss=0.418351 Batch=1079, step=20280, lr=0.115750, batch loss=0.001287, epoch loss=0.419638 Batch=1139, step=20340, lr=0.115500, batch loss=0.015265, epoch loss=0.434903 Batch=1199, step=20400, lr=0.115250, batch loss=0.005589, epoch loss=0.440493 Epoch=16, step=20400, lr=0.115250, epoch loss=0.440493 Batch=59, step=20460, lr=0.115000, batch loss=0.002735, epoch loss=0.002735 Batch=119, step=20520, lr=0.114750, batch loss=0.009664, epoch loss=0.012399 Batch=179, step=20580, lr=0.114500, batch loss=0.022549, epoch loss=0.034947 Batch=239, step=20640, lr=0.114250, batch loss=0.016099, epoch loss=0.051046 Batch=299, step=20700, lr=0.114000, batch loss=0.003990, epoch loss=0.055036 Batch=359, step=20760, lr=0.113750, batch loss=0.013673, epoch loss=0.068710 Batch=419, step=20820, lr=0.113500, batch loss=0.014294, epoch loss=0.083004 Batch=479, step=20880, lr=0.113250, batch loss=0.004810, epoch loss=0.087814 Batch=539, step=20940, lr=0.112750, batch loss=0.015283, epoch loss=0.103097 Batch=599, step=21000, lr=0.112750, batch loss=0.017954, epoch loss=0.121052 Batch=659, step=21060, lr=0.112500, batch loss=0.016158, epoch loss=0.137210 Batch=719, step=21120, lr=0.112000, batch loss=0.039240, epoch loss=0.176450 Batch=779, step=21180, lr=0.111750, batch loss=0.065822, epoch loss=0.242272 Batch=839, step=21240, lr=0.111500, batch loss=0.025129, epoch loss=0.267400 Batch=899, step=21300, lr=0.111500, batch loss=0.027578, epoch loss=0.294978 Batch=959, step=21360, lr=0.111250, batch loss=0.010185, epoch loss=0.305163 Batch=1019, step=21420, lr=0.110750, batch loss=0.010480, epoch loss=0.315643 Batch=1079, step=21480, lr=0.110500, batch loss=0.001425, epoch loss=0.317068 Batch=1139, step=21540, lr=0.110500, batch loss=0.012526, epoch loss=0.329594 Batch=1199, step=21600, lr=0.110000, batch loss=0.004912, epoch loss=0.334506 Epoch=17, step=21600, lr=0.110000, epoch loss=0.334506 Batch=59, step=21660, lr=0.109750, batch loss=0.001991, epoch loss=0.001991 Batch=119, step=21720, lr=0.109750, batch loss=0.006534, epoch loss=0.008525 Batch=179, step=21780, lr=0.109250, batch loss=0.012910, epoch loss=0.021435 Batch=239, step=21840, lr=0.109000, batch loss=0.010045, epoch loss=0.031480 Batch=299, step=21900, lr=0.108750, batch loss=0.013323, epoch loss=0.044803 Batch=359, step=21960, lr=0.108500, batch loss=0.013588, epoch loss=0.058391 Batch=419, step=22020, lr=0.108500, batch loss=0.012290, epoch loss=0.070681 Batch=479, step=22080, lr=0.108000, batch loss=0.002569, epoch loss=0.073249 Batch=539, step=22140, lr=0.108000, batch loss=0.016405, epoch loss=0.089654 Batch=599, step=22200, lr=0.107500, batch loss=0.016607, epoch loss=0.106261 Batch=659, step=22260, lr=0.107250, batch loss=0.015349, epoch loss=0.121610 Batch=719, step=22320, lr=0.107250, batch loss=0.024028, epoch loss=0.145638 Batch=779, step=22380, lr=0.106750, batch loss=0.037605, epoch loss=0.183243 Batch=839, step=22440, lr=0.106500, batch loss=0.027687, epoch loss=0.210930 Batch=899, step=22500, lr=0.106500, batch loss=0.025217, epoch loss=0.236147 Batch=959, step=22560, lr=0.106250, batch loss=0.009970, epoch loss=0.246117 Batch=1019, step=22620, lr=0.105750, batch loss=0.009529, epoch loss=0.255646 Batch=1079, step=22680, lr=0.105500, batch loss=0.001313, epoch loss=0.256960 Batch=1139, step=22740, lr=0.105250, batch loss=0.011124, epoch loss=0.268084 Batch=1199, step=22800, lr=0.105250, batch loss=0.004736, epoch loss=0.272819 Epoch=18, step=22800, lr=0.105250, epoch loss=0.272819 Batch=59, step=22860, lr=0.105000, batch loss=0.001943, epoch loss=0.001943 Batch=119, step=22920, lr=0.104750, batch loss=0.005425, epoch loss=0.007368 Batch=179, step=22980, lr=0.104500, batch loss=0.010175, epoch loss=0.017543 Batch=239, step=23040, lr=0.104000, batch loss=0.009977, epoch loss=0.027520 Batch=299, step=23100, lr=0.104000, batch loss=0.009873, epoch loss=0.037393 Batch=359, step=23160, lr=0.103500, batch loss=0.011583, epoch loss=0.048977 Batch=419, step=23220, lr=0.103250, batch loss=0.010805, epoch loss=0.059782 Batch=479, step=23280, lr=0.103000, batch loss=0.002418, epoch loss=0.062200 Batch=539, step=23340, lr=0.102750, batch loss=0.016705, epoch loss=0.078906 Batch=599, step=23400, lr=0.102500, batch loss=0.013932, epoch loss=0.092838 Batch=659, step=23460, lr=0.102250, batch loss=0.010533, epoch loss=0.103371 Batch=719, step=23520, lr=0.102250, batch loss=0.013166, epoch loss=0.116537 Batch=779, step=23580, lr=0.102000, batch loss=0.022466, epoch loss=0.139002 Batch=839, step=23640, lr=0.101750, batch loss=0.028253, epoch loss=0.167255 Batch=899, step=23700, lr=0.101500, batch loss=0.021676, epoch loss=0.188931 Batch=959, step=23760, lr=0.101000, batch loss=0.009789, epoch loss=0.198720 Batch=1019, step=23820, lr=0.100750, batch loss=0.007308, epoch loss=0.206028 Batch=1079, step=23880, lr=0.100750, batch loss=0.000855, epoch loss=0.206882 Batch=1139, step=23940, lr=0.100250, batch loss=0.008780, epoch loss=0.215662 Batch=1199, step=24000, lr=0.100250, batch loss=0.004677, epoch loss=0.220339 Epoch=19, step=24000, lr=0.100250, epoch loss=0.220339 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 13:30.56: Job failed: Failed: Build failed