2025-05-30 12:20.44: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (032faccf8dc533dfc393bed0a591a35ed988bb71) (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 032faccf 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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && 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 2025-05-30 12:20.44: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-835eddc584e7df6f658cedd74acb2691" 2025-05-30 12:20.44: 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 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && 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")) ) 2025-05-30 12:20.44: Waiting for resource in pool OCluster 2025-05-30 12:20.44: Waiting for worker… 2025-05-30 12:41.25: Got resource from pool OCluster Building on clete.caelum.ci.dev HEAD is now at 95b436dd Metal logging expectation update HEAD is now at 032faccf Untested / broken: Claude's first pass at adding BF16, FP8, uint16, int32 (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-30 12:42.28 ---> saved as "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" /: (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% | 2.8 KiB/s | 989.0 B | 00m00s Fedora 42 - x86_64 - Updates 100% | 72.3 KiB/s | 9.0 KiB | 00m00s Fedora 42 - x86_64 100% | 185.4 KiB/s | 25.0 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 4.8 MiB/s | 5.5 MiB | 00m01s Fedora 42 - x86_64 100% | 271.5 KiB/s | 310.6 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-30 12:42.48 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-30 12:42.48 ---> saved as "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. Continue? [y/n] y This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-30 12:43.46 ---> saved as "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" /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 2025-05-30 12:43.47 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-30 12:43.48 ---> saved as "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 0eea63ad71af2b1116c556023bedc6bf083e6125 || git fetch origin master) && git reset -q --hard 0eea63ad71af2b1116c556023bedc6bf083e6125 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 0d013e603b..edaf2946e3 master -> origin/master 0eea63ad71 Merge pull request #27946 from mtelvers/opam-publish-ocaml-version.4.0.1 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-30 12:44.37 ---> saved as "051643a6338b21ddc537d15b46e8f151bec764895afe788244fbf1339e5f3bd0" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-30 12:44.37 ---> saved as "a9cce4c28cf0b2a1b5fb8848c1566820cf2aaf3d5fc337fbc4b3b75938204560" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-30 12:44.41 ---> saved as "31a0019b4df41090b488f23b08bb2c2181f5615276eac47fe2c83661f61fbe6c" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-30 12:44.41 ---> saved as "476e83f581dfbd63924610de1d4df977853455194e9127705f70633d3f0bab80" /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% | 224.8 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 76.5 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 250.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 17.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 297.4 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-30 12:45.11 ---> saved as "a7fc37c09b7ceaa54ed02c984022da667594fe9cd08eb15b89d6fc47b2657aa3" /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 bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 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 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-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> 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 angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed uucp.16.0.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-30 12:48.48 ---> saved as "2b8ad7d19dad546afb5ed9e73d8b27b95817eefae90a09fc95867cf187687830" /src: (copy (src .) (dst /src)) 2025-05-30 12:48.49 ---> saved as "2af27742659f3cd274f64e4ef832bab9e6835d5f4a1efe974bb51af955959c57" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/58829319b0533a6b2dfede3e549df2ce/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0f27fc1902e25dfc9cabdaca2d51bc83/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/0f27fc1902e25dfc9cabdaca2d51bc83/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=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198500, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198250, batch loss=0.610741, epoch loss=39.012832 Batch=479, step=480, lr=0.198000, batch loss=0.746565, epoch loss=39.759397 Batch=539, step=540, lr=0.197750, batch loss=0.688675, epoch loss=40.448072 Batch=599, step=600, lr=0.197500, batch loss=1.102304, epoch loss=41.550376 Batch=659, step=660, lr=0.197500, batch loss=0.481697, epoch loss=42.032073 Batch=719, step=720, lr=0.197250, batch loss=0.410621, epoch loss=42.442694 Batch=779, step=780, lr=0.197000, batch loss=0.469364, epoch loss=42.912059 Batch=839, step=840, lr=0.196750, batch loss=0.450199, epoch loss=43.362257 Batch=899, step=900, lr=0.196500, batch loss=0.383401, epoch loss=43.745658 Batch=959, step=960, lr=0.196250, batch loss=0.268992, epoch loss=44.014649 Batch=1019, step=1020, lr=0.196000, batch loss=0.486259, epoch loss=44.500909 Batch=1079, step=1080, lr=0.195750, batch loss=0.266656, epoch loss=44.767565 Batch=1139, step=1140, lr=0.195250, batch loss=0.329872, epoch loss=45.097436 Batch=1199, step=1200, lr=0.195000, batch loss=0.263550, epoch loss=45.360986 Epoch=0, step=1200, lr=0.195000, epoch loss=45.360986 Batch=59, step=1260, lr=0.195000, batch loss=0.263589, epoch loss=0.263589 Batch=119, step=1320, lr=0.194750, batch loss=0.203753, epoch loss=0.467343 Batch=179, step=1380, lr=0.194500, batch loss=0.245653, epoch loss=0.712996 Batch=239, step=1440, lr=0.194250, batch loss=0.349839, epoch loss=1.062835 Batch=299, step=1500, lr=0.194000, batch loss=0.238966, epoch loss=1.301802 Batch=359, step=1560, lr=0.193750, batch loss=0.314843, epoch loss=1.616645 Batch=419, step=1620, lr=0.193500, batch loss=0.312379, epoch loss=1.929024 Batch=479, step=1680, lr=0.193250, batch loss=0.276988, epoch loss=2.206012 Batch=539, step=1740, lr=0.193000, batch loss=0.209792, epoch loss=2.415804 Batch=599, step=1800, lr=0.192750, batch loss=0.246500, epoch loss=2.662304 Batch=659, step=1860, lr=0.192500, batch loss=0.362849, epoch loss=3.025153 Batch=719, step=1920, lr=0.192250, batch loss=0.355881, epoch loss=3.381034 Batch=779, step=1980, lr=0.192000, batch loss=0.381823, epoch loss=3.762857 Batch=839, step=2040, lr=0.191750, batch loss=0.341867, epoch loss=4.104724 Batch=899, step=2100, lr=0.191500, batch loss=0.296629, epoch loss=4.401353 Batch=959, step=2160, lr=0.191250, batch loss=0.214548, epoch loss=4.615901 Batch=1019, step=2220, lr=0.191000, batch loss=0.332817, epoch loss=4.948718 Batch=1079, step=2280, lr=0.190750, batch loss=0.208924, epoch loss=5.157642 Batch=1139, step=2340, lr=0.190500, batch loss=0.271125, epoch loss=5.428767 Batch=1199, step=2400, lr=0.190250, batch loss=0.219937, epoch loss=5.648704 Epoch=1, step=2400, lr=0.190250, epoch loss=5.648704 Batch=59, step=2460, lr=0.190000, batch loss=0.230306, epoch loss=0.230306 Batch=119, step=2520, lr=0.189750, batch loss=0.199025, epoch loss=0.429331 Batch=179, step=2580, lr=0.189500, batch loss=0.220566, epoch loss=0.649897 Batch=239, step=2640, lr=0.189250, batch loss=0.328906, epoch loss=0.978803 Batch=299, step=2700, lr=0.189000, batch loss=0.207828, epoch loss=1.186631 Batch=359, step=2760, lr=0.188750, batch loss=0.293840, epoch loss=1.480471 Batch=419, step=2820, lr=0.188250, batch loss=0.281983, epoch loss=1.762454 Batch=479, step=2880, lr=0.188250, batch loss=0.255988, epoch loss=2.018442 Batch=539, step=2940, lr=0.188000, batch loss=0.196996, epoch loss=2.215438 Batch=599, step=3000, lr=0.187750, batch loss=0.241166, epoch loss=2.456604 Batch=659, step=3060, lr=0.187500, batch loss=0.348629, epoch loss=2.805233 Batch=719, step=3120, lr=0.187250, batch loss=0.347554, epoch loss=3.152787 Batch=779, step=3180, lr=0.187000, batch loss=0.366965, epoch loss=3.519752 Batch=839, step=3240, lr=0.186750, batch loss=0.323841, epoch loss=3.843593 Batch=899, step=3300, lr=0.186250, batch loss=0.287040, epoch loss=4.130633 Batch=959, step=3360, lr=0.186000, batch loss=0.213166, epoch loss=4.343799 Batch=1019, step=3420, lr=0.185750, batch loss=0.308110, epoch loss=4.651909 Batch=1079, step=3480, lr=0.185750, batch loss=0.186529, epoch loss=4.838438 Batch=1139, step=3540, lr=0.185500, batch loss=0.232071, epoch loss=5.070509 Batch=1199, step=3600, lr=0.185250, batch loss=0.198971, epoch loss=5.269479 Epoch=2, step=3600, lr=0.185250, epoch loss=5.269479 Batch=59, step=3660, lr=0.185000, batch loss=0.228167, epoch loss=0.228167 Batch=119, step=3720, lr=0.184750, batch loss=0.195652, epoch loss=0.423818 Batch=179, step=3780, lr=0.184500, batch loss=0.212073, epoch loss=0.635891 Batch=239, step=3840, lr=0.184250, batch loss=0.318411, epoch loss=0.954302 Batch=299, step=3900, lr=0.184000, batch loss=0.208109, epoch loss=1.162411 Batch=359, step=3960, lr=0.183750, batch loss=0.291360, epoch loss=1.453772 Batch=419, step=4020, lr=0.183500, batch loss=0.291018, epoch loss=1.744790 Batch=479, step=4080, lr=0.183250, batch loss=0.260091, epoch loss=2.004880 Batch=539, step=4140, lr=0.183000, batch loss=0.196507, epoch loss=2.201387 Batch=599, step=4200, lr=0.182750, batch loss=0.245219, epoch loss=2.446606 Batch=659, step=4260, lr=0.182250, batch loss=0.327474, epoch loss=2.774080 Batch=719, step=4320, lr=0.182250, batch loss=0.328366, epoch loss=3.102446 Batch=779, step=4380, lr=0.181750, batch loss=0.350312, epoch loss=3.452757 Batch=839, step=4440, lr=0.181500, batch loss=0.320168, epoch loss=3.772925 Batch=899, step=4500, lr=0.181500, batch loss=0.291887, epoch loss=4.064812 Batch=959, step=4560, lr=0.181250, batch loss=0.259331, epoch loss=4.324143 Batch=1019, step=4620, lr=0.181000, batch loss=0.367273, epoch loss=4.691416 Batch=1079, step=4680, lr=0.180750, batch loss=0.221986, epoch loss=4.913402 Batch=1139, step=4740, lr=0.180500, batch loss=0.250802, epoch loss=5.164205 Batch=1199, step=4800, lr=0.180250, batch loss=0.192097, epoch loss=5.356302 Epoch=3, step=4800, lr=0.180250, epoch loss=5.356302 Batch=59, step=4860, lr=0.179750, batch loss=0.228250, epoch loss=0.228250 Batch=119, step=4920, lr=0.179750, batch loss=0.190499, epoch loss=0.418750 Batch=179, step=4980, lr=0.179500, batch loss=0.206722, epoch loss=0.625471 Batch=239, step=5040, lr=0.179250, batch loss=0.307410, epoch loss=0.932881 Batch=299, step=5100, lr=0.179000, batch loss=0.201678, epoch loss=1.134560 Batch=359, step=5160, lr=0.178750, batch loss=0.274410, epoch loss=1.408970 Batch=419, step=5220, lr=0.178500, batch loss=0.265028, epoch loss=1.673998 Batch=479, step=5280, lr=0.178250, batch loss=0.240317, epoch loss=1.914315 Batch=539, step=5340, lr=0.178000, batch loss=0.190359, epoch loss=2.104674 Batch=599, step=5400, lr=0.177500, batch loss=0.231442, epoch loss=2.336116 Batch=659, step=5460, lr=0.177500, batch loss=0.325300, epoch loss=2.661416 Batch=719, step=5520, lr=0.177250, batch loss=0.335048, epoch loss=2.996464 Batch=779, step=5580, lr=0.177000, batch loss=0.342651, epoch loss=3.339115 Batch=839, step=5640, lr=0.176750, batch loss=0.310579, epoch loss=3.649694 Batch=899, step=5700, lr=0.176500, batch loss=0.272711, epoch loss=3.922405 Batch=959, step=5760, lr=0.176250, batch loss=0.216826, epoch loss=4.139231 Batch=1019, step=5820, lr=0.176000, batch loss=0.337406, epoch loss=4.476637 Batch=1079, step=5880, lr=0.175750, batch loss=0.191864, epoch loss=4.668501 Batch=1139, step=5940, lr=0.175500, batch loss=0.225265, epoch loss=4.893766 Batch=1199, step=6000, lr=0.175250, batch loss=0.189633, epoch loss=5.083399 Epoch=4, step=6000, lr=0.175250, epoch loss=5.083399 Batch=59, step=6060, lr=0.175000, batch loss=0.233642, epoch loss=0.233642 Batch=119, step=6120, lr=0.174750, batch loss=0.193661, epoch loss=0.427304 Batch=179, step=6180, lr=0.174250, batch loss=0.201272, epoch loss=0.628576 Batch=239, step=6240, lr=0.174250, batch loss=0.300168, epoch loss=0.928744 Batch=299, step=6300, lr=0.174000, batch loss=0.207135, epoch loss=1.135879 Batch=359, step=6360, lr=0.173750, batch loss=0.267422, epoch loss=1.403301 Batch=419, step=6420, lr=0.173500, batch loss=0.266573, epoch loss=1.669874 Batch=479, step=6480, lr=0.173250, batch loss=0.244043, epoch loss=1.913917 Batch=539, step=6540, lr=0.173000, batch loss=0.194759, epoch loss=2.108675 Batch=599, step=6600, lr=0.172750, batch loss=0.235487, epoch loss=2.344162 Batch=659, step=6660, lr=0.172500, batch loss=0.313489, epoch loss=2.657651 Batch=719, step=6720, lr=0.172250, batch loss=0.318909, epoch loss=2.976559 Batch=779, step=6780, lr=0.172000, batch loss=0.336458, epoch loss=3.313018 Batch=839, step=6840, lr=0.171750, batch loss=0.303083, epoch loss=3.616101 Batch=899, step=6900, lr=0.171500, batch loss=0.268510, epoch loss=3.884611 Batch=959, step=6960, lr=0.171250, batch loss=0.208969, epoch loss=4.093580 Batch=1019, step=7020, lr=0.171000, batch loss=0.334008, epoch loss=4.427588 Batch=1079, step=7080, lr=0.170750, batch loss=0.195276, epoch loss=4.622864 Batch=1139, step=7140, lr=0.170500, batch loss=0.233030, epoch loss=4.855894 Batch=1199, step=7200, lr=0.170250, batch loss=0.180124, epoch loss=5.036018 Epoch=5, step=7200, lr=0.170250, epoch loss=5.036018 Batch=59, step=7260, lr=0.170000, batch loss=0.224120, epoch loss=0.224120 Batch=119, step=7320, lr=0.169750, batch loss=0.184260, epoch loss=0.408380 Batch=179, step=7380, lr=0.169500, batch loss=0.197032, epoch loss=0.605412 Batch=239, step=7440, lr=0.169000, batch loss=0.295982, epoch loss=0.901394 Batch=299, step=7500, lr=0.169000, batch loss=0.205391, epoch loss=1.106785 Batch=359, step=7560, lr=0.168750, batch loss=0.263670, epoch loss=1.370454 Batch=419, step=7620, lr=0.168500, batch loss=0.255001, epoch loss=1.625455 Batch=479, step=7680, lr=0.168250, batch loss=0.233334, epoch loss=1.858788 Batch=539, step=7740, lr=0.168000, batch loss=0.185639, epoch loss=2.044427 Batch=599, step=7800, lr=0.167750, batch loss=0.225734, epoch loss=2.270161 Batch=659, step=7860, lr=0.167500, batch loss=0.305485, epoch loss=2.575646 Batch=719, step=7920, lr=0.167250, batch loss=0.310856, epoch loss=2.886502 Batch=779, step=7980, lr=0.167000, batch loss=0.330253, epoch loss=3.216755 Batch=839, step=8040, lr=0.166750, batch loss=0.293250, epoch loss=3.510005 Batch=899, step=8100, lr=0.166500, batch loss=0.263421, epoch loss=3.773426 Batch=959, step=8160, lr=0.166000, batch loss=0.197461, epoch loss=3.970887 Batch=1019, step=8220, lr=0.166000, batch loss=0.323708, epoch loss=4.294595 Batch=1079, step=8280, lr=0.165750, batch loss=0.178634, epoch loss=4.473229 Batch=1139, step=8340, lr=0.165500, batch loss=0.208929, epoch loss=4.682158 Batch=1199, step=8400, lr=0.165250, batch loss=0.176641, epoch loss=4.858799 Epoch=6, step=8400, lr=0.165250, epoch loss=4.858799 Batch=59, step=8460, lr=0.165000, batch loss=0.225140, epoch loss=0.225140 Batch=119, step=8520, lr=0.164750, batch loss=0.178855, epoch loss=0.403995 Batch=179, step=8580, lr=0.164500, batch loss=0.188072, epoch loss=0.592067 Batch=239, step=8640, lr=0.164250, batch loss=0.277236, epoch loss=0.869303 Batch=299, step=8700, lr=0.164000, batch loss=0.187658, epoch loss=1.056961 Batch=359, step=8760, lr=0.163750, batch loss=0.245888, epoch loss=1.302849 Batch=419, step=8820, lr=0.163500, batch loss=0.240266, epoch loss=1.543115 Batch=479, step=8880, lr=0.163250, batch loss=0.215466, epoch loss=1.758581 Batch=539, step=8940, lr=0.163000, batch loss=0.176321, epoch loss=1.934902 Batch=599, step=9000, lr=0.162750, batch loss=0.213004, epoch loss=2.147906 Batch=659, step=9060, lr=0.162500, batch loss=0.294116, epoch loss=2.442023 Batch=719, step=9120, lr=0.162250, batch loss=0.296034, epoch loss=2.738057 Batch=779, step=9180, lr=0.162000, batch loss=0.315617, epoch loss=3.053674 Batch=839, step=9240, lr=0.161750, batch loss=0.285609, epoch loss=3.339283 Batch=899, step=9300, lr=0.161500, batch loss=0.252311, epoch loss=3.591594 Batch=959, step=9360, lr=0.161250, batch loss=0.198784, epoch loss=3.790378 Batch=1019, step=9420, lr=0.160750, batch loss=0.309799, epoch loss=4.100178 Batch=1079, step=9480, lr=0.160750, batch loss=0.196722, epoch loss=4.296900 Batch=1139, step=9540, lr=0.160500, batch loss=0.215324, epoch loss=4.512224 Batch=1199, step=9600, lr=0.160250, batch loss=0.165991, epoch loss=4.678215 Epoch=7, step=9600, lr=0.160250, epoch loss=4.678215 Batch=59, step=9660, lr=0.160000, batch loss=0.189040, epoch loss=0.189040 Batch=119, step=9720, lr=0.159750, batch loss=0.160372, epoch loss=0.349412 Batch=179, step=9780, lr=0.159500, batch loss=0.178234, epoch loss=0.527646 Batch=239, step=9840, lr=0.159250, batch loss=0.261393, epoch loss=0.789039 Batch=299, step=9900, lr=0.159000, batch loss=0.183790, epoch loss=0.972828 Batch=359, step=9960, lr=0.158750, batch loss=0.240644, epoch loss=1.213472 Batch=419, step=10020, lr=0.158500, batch loss=0.232921, epoch loss=1.446394 Batch=479, step=10080, lr=0.158250, batch loss=0.215746, epoch loss=1.662139 Batch=539, step=10140, lr=0.158000, batch loss=0.171233, epoch loss=1.833372 Batch=599, step=10200, lr=0.157750, batch loss=0.203703, epoch loss=2.037075 Batch=659, step=10260, lr=0.157500, batch loss=0.280441, epoch loss=2.317516 Batch=719, step=10320, lr=0.157250, batch loss=0.285243, epoch loss=2.602758 Batch=779, step=10380, lr=0.157000, batch loss=0.295196, epoch loss=2.897954 Batch=839, step=10440, lr=0.156500, batch loss=0.265914, epoch loss=3.163869 Batch=899, step=10500, lr=0.156500, batch loss=0.236672, epoch loss=3.400541 Batch=959, step=10560, lr=0.156250, batch loss=0.178972, epoch loss=3.579513 Batch=1019, step=10620, lr=0.156000, batch loss=0.299696, epoch loss=3.879209 Batch=1079, step=10680, lr=0.155750, batch loss=0.179187, epoch loss=4.058396 Batch=1139, step=10740, lr=0.155500, batch loss=0.200490, epoch loss=4.258886 Batch=1199, step=10800, lr=0.155250, batch loss=0.154896, epoch loss=4.413782 Epoch=8, step=10800, lr=0.155250, epoch loss=4.413782 Batch=59, step=10860, lr=0.155000, batch loss=0.177684, epoch loss=0.177684 Batch=119, step=10920, lr=0.154750, batch loss=0.153088, epoch loss=0.330771 Batch=179, step=10980, lr=0.154500, batch loss=0.167311, epoch loss=0.498082 Batch=239, step=11040, lr=0.154250, batch loss=0.246669, epoch loss=0.744752 Batch=299, step=11100, lr=0.154000, batch loss=0.160485, epoch loss=0.905237 Batch=359, step=11160, lr=0.153500, batch loss=0.227063, epoch loss=1.132300 Batch=419, step=11220, lr=0.153250, batch loss=0.234946, epoch loss=1.367246 Batch=479, step=11280, lr=0.153250, batch loss=0.198201, epoch loss=1.565447 Batch=539, step=11340, lr=0.153000, batch loss=0.163687, epoch loss=1.729134 Batch=599, step=11400, lr=0.152750, batch loss=0.181373, epoch loss=1.910507 Batch=659, step=11460, lr=0.152250, batch loss=0.264106, epoch loss=2.174613 Batch=719, step=11520, lr=0.152250, batch loss=0.260632, epoch loss=2.435244 Batch=779, step=11580, lr=0.152000, batch loss=0.272751, epoch loss=2.707995 Batch=839, step=11640, lr=0.151750, batch loss=0.256463, epoch loss=2.964458 Batch=899, step=11700, lr=0.151500, batch loss=0.212292, epoch loss=3.176750 Batch=959, step=11760, lr=0.151250, batch loss=0.170652, epoch loss=3.347402 Batch=1019, step=11820, lr=0.151000, batch loss=0.265534, epoch loss=3.612936 Batch=1079, step=11880, lr=0.150750, batch loss=0.152368, epoch loss=3.765304 Batch=1139, step=11940, lr=0.150500, batch loss=0.192293, epoch loss=3.957597 Batch=1199, step=12000, lr=0.150250, batch loss=0.139882, epoch loss=4.097479 Epoch=9, step=12000, lr=0.150250, epoch loss=4.097479 Batch=59, step=12060, lr=0.150000, batch loss=0.158151, epoch loss=0.158151 Batch=119, step=12120, lr=0.149750, batch loss=0.128560, epoch loss=0.286711 Batch=179, step=12180, lr=0.149500, batch loss=0.150003, epoch loss=0.436714 Batch=239, step=12240, lr=0.149250, batch loss=0.218770, epoch loss=0.655483 Batch=299, step=12300, lr=0.149000, batch loss=0.140882, epoch loss=0.796366 Batch=359, step=12360, lr=0.148750, batch loss=0.196268, epoch loss=0.992633 Batch=419, step=12420, lr=0.148500, batch loss=0.206179, epoch loss=1.198812 Batch=479, step=12480, lr=0.148250, batch loss=0.179509, epoch loss=1.378321 Batch=539, step=12540, lr=0.148000, batch loss=0.142060, epoch loss=1.520381 Batch=599, step=12600, lr=0.147750, batch loss=0.150438, epoch loss=1.670819 Batch=659, step=12660, lr=0.147500, batch loss=0.224645, epoch loss=1.895464 Batch=719, step=12720, lr=0.147250, batch loss=0.234412, epoch loss=2.129876 Batch=779, step=12780, lr=0.147000, batch loss=0.255840, epoch loss=2.385715 Batch=839, step=12840, lr=0.146750, batch loss=0.238338, epoch loss=2.624053 Batch=899, step=12900, lr=0.146500, batch loss=0.230745, epoch loss=2.854798 Batch=959, step=12960, lr=0.146250, batch loss=0.141232, epoch loss=2.996030 Batch=1019, step=13020, lr=0.146000, batch loss=0.217314, epoch loss=3.213344 Batch=1079, step=13080, lr=0.145750, batch loss=0.111795, epoch loss=3.325138 Batch=1139, step=13140, lr=0.145500, batch loss=0.146978, epoch loss=3.472117 Batch=1199, step=13200, lr=0.145250, batch loss=0.115680, epoch loss=3.587797 Epoch=10, step=13200, lr=0.145250, epoch loss=3.587797 Batch=59, step=13260, lr=0.145000, batch loss=0.133385, epoch loss=0.133385 Batch=119, step=13320, lr=0.144500, batch loss=0.111856, epoch loss=0.245241 Batch=179, step=13380, lr=0.144500, batch loss=0.127020, epoch loss=0.372261 Batch=239, step=13440, lr=0.144250, batch loss=0.185656, epoch loss=0.557917 Batch=299, step=13500, lr=0.144000, batch loss=0.116046, epoch loss=0.673963 Batch=359, step=13560, lr=0.143750, batch loss=0.159344, epoch loss=0.833307 Batch=419, step=13620, lr=0.143500, batch loss=0.160555, epoch loss=0.993862 Batch=479, step=13680, lr=0.143250, batch loss=0.147708, epoch loss=1.141569 Batch=539, step=13740, lr=0.143000, batch loss=0.117289, epoch loss=1.258858 Batch=599, step=13800, lr=0.142500, batch loss=0.120363, epoch loss=1.379221 Batch=659, step=13860, lr=0.142500, batch loss=0.178934, epoch loss=1.558155 Batch=719, step=13920, lr=0.142250, batch loss=0.193713, epoch loss=1.751869 Batch=779, step=13980, lr=0.142000, batch loss=0.226021, epoch loss=1.977890 Batch=839, step=14040, lr=0.141750, batch loss=0.204271, epoch loss=2.182161 Batch=899, step=14100, lr=0.141500, batch loss=0.226376, epoch loss=2.408537 Batch=959, step=14160, lr=0.141250, batch loss=0.096003, epoch loss=2.504539 Batch=1019, step=14220, lr=0.141000, batch loss=0.182394, epoch loss=2.686934 Batch=1079, step=14280, lr=0.140750, batch loss=0.085853, epoch loss=2.772786 Batch=1139, step=14340, lr=0.140500, batch loss=0.136852, epoch loss=2.909638 Batch=1199, step=14400, lr=0.140250, batch loss=0.088089, epoch loss=2.997728 Epoch=11, step=14400, lr=0.140250, epoch loss=2.997728 Batch=59, step=14460, lr=0.140000, batch loss=0.116228, epoch loss=0.116228 Batch=119, step=14520, lr=0.139750, batch loss=0.108590, epoch loss=0.224818 Batch=179, step=14580, lr=0.139500, batch loss=0.103710, epoch loss=0.328529 Batch=239, step=14640, lr=0.139250, batch loss=0.139616, epoch loss=0.468145 Batch=299, step=14700, lr=0.139000, batch loss=0.079253, epoch loss=0.547398 Batch=359, step=14760, lr=0.138750, batch loss=0.117952, epoch loss=0.665350 Batch=419, step=14820, lr=0.138500, batch loss=0.127897, epoch loss=0.793247 Batch=479, step=14880, lr=0.138000, batch loss=0.102962, epoch loss=0.896210 Batch=539, step=14940, lr=0.138000, batch loss=0.113393, epoch loss=1.009603 Batch=599, step=15000, lr=0.137750, batch loss=0.084053, epoch loss=1.093657 Batch=659, step=15060, lr=0.137500, batch loss=0.132562, epoch loss=1.226218 Batch=719, step=15120, lr=0.137250, batch loss=0.129940, epoch loss=1.356159 Batch=779, step=15180, lr=0.137000, batch loss=0.128788, epoch loss=1.484946 Batch=839, step=15240, lr=0.136750, batch loss=0.126507, epoch loss=1.611453 Batch=899, step=15300, lr=0.136500, batch loss=0.108377, epoch loss=1.719830 Batch=959, step=15360, lr=0.136250, batch loss=0.082893, epoch loss=1.802723 Batch=1019, step=15420, lr=0.136000, batch loss=0.090492, epoch loss=1.893215 Batch=1079, step=15480, lr=0.135750, batch loss=0.066926, epoch loss=1.960141 Batch=1139, step=15540, lr=0.135500, batch loss=0.144837, epoch loss=2.104978 Batch=1199, step=15600, lr=0.135250, batch loss=0.057171, epoch loss=2.162150 Epoch=12, step=15600, lr=0.135250, epoch loss=2.162150 Batch=59, step=15660, lr=0.135000, batch loss=0.080283, epoch loss=0.080283 Batch=119, step=15720, lr=0.134750, batch loss=0.105204, epoch loss=0.185487 Batch=179, step=15780, lr=0.134500, batch loss=0.091386, epoch loss=0.276873 Batch=239, step=15840, lr=0.134250, batch loss=0.094616, epoch loss=0.371489 Batch=299, step=15900, lr=0.134000, batch loss=0.044509, epoch loss=0.415998 Batch=359, step=15960, lr=0.133750, batch loss=0.079058, epoch loss=0.495056 Batch=419, step=16020, lr=0.133500, batch loss=0.079615, epoch loss=0.574671 Batch=479, step=16080, lr=0.133250, batch loss=0.063173, epoch loss=0.637844 Batch=539, step=16140, lr=0.133000, batch loss=0.060635, epoch loss=0.698479 Batch=599, step=16200, lr=0.132750, batch loss=0.139825, epoch loss=0.838305 Batch=659, step=16260, lr=0.132500, batch loss=0.086283, epoch loss=0.924588 Batch=719, step=16320, lr=0.132250, batch loss=0.143777, epoch loss=1.068365 Batch=779, step=16380, lr=0.132000, batch loss=0.339698, epoch loss=1.408063 Batch=839, step=16440, lr=0.131750, batch loss=0.096452, epoch loss=1.504515 Batch=899, step=16500, lr=0.131500, batch loss=0.085724, epoch loss=1.590239 Batch=959, step=16560, lr=0.131000, batch loss=0.033323, epoch loss=1.623561 Batch=1019, step=16620, lr=0.130750, batch loss=0.070532, epoch loss=1.694093 Batch=1079, step=16680, lr=0.130500, batch loss=0.046082, epoch loss=1.740175 Batch=1139, step=16740, lr=0.130250, batch loss=0.079662, epoch loss=1.819837 Batch=1199, step=16800, lr=0.130000, batch loss=0.036672, epoch loss=1.856509 Epoch=13, step=16800, lr=0.130000, epoch loss=1.856509 Batch=59, step=16860, lr=0.130000, batch loss=0.034092, epoch loss=0.034092 Batch=119, step=16920, lr=0.129750, batch loss=0.035896, epoch loss=0.069989 Batch=179, step=16980, lr=0.129250, batch loss=0.043101, epoch loss=0.113090 Batch=239, step=17040, lr=0.129250, batch loss=0.065207, epoch loss=0.178297 Batch=299, step=17100, lr=0.128750, batch loss=0.049416, epoch loss=0.227714 Batch=359, step=17160, lr=0.128500, batch loss=0.053317, epoch loss=0.281031 Batch=419, step=17220, lr=0.128250, batch loss=0.079034, epoch loss=0.360064 Batch=479, step=17280, lr=0.128250, batch loss=0.022601, epoch loss=0.382666 Batch=539, step=17340, lr=0.128000, batch loss=0.029088, epoch loss=0.411754 Batch=599, step=17400, lr=0.127750, batch loss=0.035365, epoch loss=0.447118 Batch=659, step=17460, lr=0.127250, batch loss=0.047863, epoch loss=0.494981 Batch=719, step=17520, lr=0.127250, batch loss=0.044200, epoch loss=0.539181 Batch=779, step=17580, lr=0.126750, batch loss=0.078387, epoch loss=0.617568 Batch=839, step=17640, lr=0.126500, batch loss=0.151738, epoch loss=0.769306 Batch=899, step=17700, lr=0.126250, batch loss=0.052251, epoch loss=0.821557 Batch=959, step=17760, lr=0.126250, batch loss=0.018998, epoch loss=0.840555 Batch=1019, step=17820, lr=0.125750, batch loss=0.042447, epoch loss=0.883002 Batch=1079, step=17880, lr=0.125500, batch loss=0.037537, epoch loss=0.920539 Batch=1139, step=17940, lr=0.125250, batch loss=0.072751, epoch loss=0.993290 Batch=1199, step=18000, lr=0.125250, batch loss=0.026405, epoch loss=1.019695 Epoch=14, step=18000, lr=0.125250, epoch loss=1.019695 Batch=59, step=18060, lr=0.125000, batch loss=0.015329, epoch loss=0.015329 Batch=119, step=18120, lr=0.124750, batch loss=0.022410, epoch loss=0.037739 Batch=179, step=18180, lr=0.124500, batch loss=0.047409, epoch loss=0.085148 Batch=239, step=18240, lr=0.124250, batch loss=0.036040, epoch loss=0.121188 Batch=299, step=18300, lr=0.124000, batch loss=0.008425, epoch loss=0.129613 Batch=359, step=18360, lr=0.123750, batch loss=0.024452, epoch loss=0.154065 Batch=419, step=18420, lr=0.123500, batch loss=0.027852, epoch loss=0.181917 Batch=479, step=18480, lr=0.123250, batch loss=0.019447, epoch loss=0.201364 Batch=539, step=18540, lr=0.123000, batch loss=0.044480, epoch loss=0.245844 Batch=599, step=18600, lr=0.122750, batch loss=0.026300, epoch loss=0.272144 Batch=659, step=18660, lr=0.122500, batch loss=0.033868, epoch loss=0.306012 Batch=719, step=18720, lr=0.122250, batch loss=0.045354, epoch loss=0.351366 Batch=779, step=18780, lr=0.122000, batch loss=0.117847, epoch loss=0.469213 Batch=839, step=18840, lr=0.121750, batch loss=0.055420, epoch loss=0.524633 Batch=899, step=18900, lr=0.121500, batch loss=0.059086, epoch loss=0.583719 Batch=959, step=18960, lr=0.121250, batch loss=0.013865, epoch loss=0.597584 Batch=1019, step=19020, lr=0.121000, batch loss=0.016458, epoch loss=0.614042 Batch=1079, step=19080, lr=0.120750, batch loss=0.005572, epoch loss=0.619614 Batch=1139, step=19140, lr=0.120500, batch loss=0.025341, epoch loss=0.644955 Batch=1199, step=19200, lr=0.120250, batch loss=0.009788, epoch loss=0.654742 Epoch=15, step=19200, lr=0.120250, epoch loss=0.654742 Batch=59, step=19260, lr=0.120000, batch loss=0.005663, epoch loss=0.005663 Batch=119, step=19320, lr=0.119750, batch loss=0.018238, epoch loss=0.023901 Batch=179, step=19380, lr=0.119500, batch loss=0.041586, epoch loss=0.065488 Batch=239, step=19440, lr=0.119250, batch loss=0.020942, epoch loss=0.086430 Batch=299, step=19500, lr=0.119000, batch loss=0.005642, epoch loss=0.092072 Batch=359, step=19560, lr=0.118750, batch loss=0.016233, epoch loss=0.108305 Batch=419, step=19620, lr=0.118500, batch loss=0.018800, epoch loss=0.127104 Batch=479, step=19680, lr=0.118250, batch loss=0.008901, epoch loss=0.136005 Batch=539, step=19740, lr=0.118000, batch loss=0.020229, epoch loss=0.156234 Batch=599, step=19800, lr=0.117750, batch loss=0.020897, epoch loss=0.177131 Batch=659, step=19860, lr=0.117500, batch loss=0.019883, epoch loss=0.197014 Batch=719, step=19920, lr=0.117250, batch loss=0.022808, epoch loss=0.219822 Batch=779, step=19980, lr=0.117000, batch loss=0.053934, epoch loss=0.273756 Batch=839, step=20040, lr=0.116750, batch loss=0.038477, epoch loss=0.312234 Batch=899, step=20100, lr=0.116500, batch loss=0.049049, epoch loss=0.361283 Batch=959, step=20160, lr=0.116250, batch loss=0.010839, epoch loss=0.372122 Batch=1019, step=20220, lr=0.116000, batch loss=0.014320, epoch loss=0.386442 Batch=1079, step=20280, lr=0.115750, batch loss=0.002813, epoch loss=0.389254 Batch=1139, step=20340, lr=0.115500, batch loss=0.014818, epoch loss=0.404072 Batch=1199, step=20400, lr=0.115250, batch loss=0.005625, epoch loss=0.409698 Epoch=16, step=20400, lr=0.115250, epoch loss=0.409698 Batch=59, step=20460, lr=0.115000, batch loss=0.003462, epoch loss=0.003462 Batch=119, step=20520, lr=0.114500, batch loss=0.010053, epoch loss=0.013515 Batch=179, step=20580, lr=0.114500, batch loss=0.022587, epoch loss=0.036102 Batch=239, step=20640, lr=0.114250, batch loss=0.016139, epoch loss=0.052241 Batch=299, step=20700, lr=0.114000, batch loss=0.005277, epoch loss=0.057517 Batch=359, step=20760, lr=0.113750, batch loss=0.013562, epoch loss=0.071079 Batch=419, step=20820, lr=0.113500, batch loss=0.013756, epoch loss=0.084836 Batch=479, step=20880, lr=0.113250, batch loss=0.003749, epoch loss=0.088585 Batch=539, step=20940, lr=0.113000, batch loss=0.016390, epoch loss=0.104975 Batch=599, step=21000, lr=0.112750, batch loss=0.017062, epoch loss=0.122037 Batch=659, step=21060, lr=0.112500, batch loss=0.015010, epoch loss=0.137047 Batch=719, step=21120, lr=0.112250, batch loss=0.043876, epoch loss=0.180923 Batch=779, step=21180, lr=0.112000, batch loss=0.063453, epoch loss=0.244375 Batch=839, step=21240, lr=0.111750, batch loss=0.024744, epoch loss=0.269119 Batch=899, step=21300, lr=0.111500, batch loss=0.028455, epoch loss=0.297574 Batch=959, step=21360, lr=0.111250, batch loss=0.010090, epoch loss=0.307664 Batch=1019, step=21420, lr=0.111000, batch loss=0.011010, epoch loss=0.318674 Batch=1079, step=21480, lr=0.110750, batch loss=0.001000, epoch loss=0.319674 Batch=1139, step=21540, lr=0.110500, batch loss=0.012831, epoch loss=0.332505 Batch=1199, step=21600, lr=0.110250, batch loss=0.004841, epoch loss=0.337346 Epoch=17, step=21600, lr=0.110250, epoch loss=0.337346 Batch=59, step=21660, lr=0.110000, batch loss=0.002392, epoch loss=0.002392 Batch=119, step=21720, lr=0.109750, batch loss=0.006511, epoch loss=0.008902 Batch=179, step=21780, lr=0.109500, batch loss=0.012867, epoch loss=0.021769 Batch=239, step=21840, lr=0.109250, batch loss=0.010011, epoch loss=0.031780 Batch=299, step=21900, lr=0.109000, batch loss=0.001386, epoch loss=0.033166 Batch=359, step=21960, lr=0.108750, batch loss=0.010669, epoch loss=0.043835 Batch=419, step=22020, lr=0.108500, batch loss=0.011056, epoch loss=0.054891 Batch=479, step=22080, lr=0.108250, batch loss=0.002851, epoch loss=0.057741 Batch=539, step=22140, lr=0.108000, batch loss=0.018787, epoch loss=0.076528 Batch=599, step=22200, lr=0.107750, batch loss=0.016471, epoch loss=0.092999 Batch=659, step=22260, lr=0.107500, batch loss=0.014748, epoch loss=0.107747 Batch=719, step=22320, lr=0.107250, batch loss=0.026420, epoch loss=0.134167 Batch=779, step=22380, lr=0.107000, batch loss=0.035253, epoch loss=0.169420 Batch=839, step=22440, lr=0.106750, batch loss=0.025713, epoch loss=0.195133 Batch=899, step=22500, lr=0.106500, batch loss=0.026334, epoch loss=0.221467 Batch=959, step=22560, lr=0.106250, batch loss=0.009427, epoch loss=0.230894 Batch=1019, step=22620, lr=0.106000, batch loss=0.009414, epoch loss=0.240307 Batch=1079, step=22680, lr=0.105750, batch loss=0.001685, epoch loss=0.241992 Batch=1139, step=22740, lr=0.105500, batch loss=0.010924, epoch loss=0.252916 Batch=1199, step=22800, lr=0.105250, batch loss=0.004707, epoch loss=0.257623 Epoch=18, step=22800, lr=0.105250, epoch loss=0.257623 Batch=59, step=22860, lr=0.105000, batch loss=0.001928, epoch loss=0.001928 Batch=119, step=22920, lr=0.104750, batch loss=0.005606, epoch loss=0.007535 Batch=179, step=22980, lr=0.104500, batch loss=0.010952, epoch loss=0.018487 Batch=239, step=23040, lr=0.104250, batch loss=0.009308, epoch loss=0.027794 Batch=299, step=23100, lr=0.104000, batch loss=0.011644, epoch loss=0.039438 Batch=359, step=23160, lr=0.103750, batch loss=0.012399, epoch loss=0.051837 Batch=419, step=23220, lr=0.103250, batch loss=0.011038, epoch loss=0.062875 Batch=479, step=23280, lr=0.103250, batch loss=0.003663, epoch loss=0.066538 Batch=539, step=23340, lr=0.103000, batch loss=0.015394, epoch loss=0.081932 Batch=599, step=23400, lr=0.102750, batch loss=0.014057, epoch loss=0.095989 Batch=659, step=23460, lr=0.102500, batch loss=0.012503, epoch loss=0.108492 Batch=719, step=23520, lr=0.102000, batch loss=0.014978, epoch loss=0.123470 Batch=779, step=23580, lr=0.101750, batch loss=0.021543, epoch loss=0.145013 Batch=839, step=23640, lr=0.101500, batch loss=0.025867, epoch loss=0.170880 Batch=899, step=23700, lr=0.101500, batch loss=0.022193, epoch loss=0.193073 Batch=959, step=23760, lr=0.101250, batch loss=0.007792, epoch loss=0.200864 Batch=1019, step=23820, lr=0.101000, batch loss=0.006718, epoch loss=0.207582 Batch=1079, step=23880, lr=0.100750, batch loss=0.001595, epoch loss=0.209177 Batch=1139, step=23940, lr=0.100500, batch loss=0.008333, epoch loss=0.217510 Batch=1199, step=24000, lr=0.100250, batch loss=0.004383, epoch loss=0.221893 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221893 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-30 12:50.23: Job failed: Failed: Build failed