2025-05-21 11:49.13: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0378b256a834c2e9ea65a59476fd32aec5f71dae) (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 0378b256 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-21 11:49.13: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 11:49.13: 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-21 11:49.13: Waiting for resource in pool OCluster 2025-05-21 11:49.13: Waiting for worker… 2025-05-21 11:50.27: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at 52f80ac5 stdout capture: close descriptors before joining the domain. Fixed by o3 HEAD is now at 0378b256 When filtering stdout for log messages, forward non-log lines to the original stdout as soon as available. (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-21 11:50.28 ---> 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 - x86_64 - Updates 100% | 65.9 KiB/s | 23.7 KiB | 00m00s Fedora 42 - x86_64 100% | 185.8 KiB/s | 24.9 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 2.4 MiB/s | 5.3 MiB | 00m02s Fedora 42 - x86_64 100% | 300.6 KiB/s | 310.5 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-21 11:50.28 ---> using "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:50.28 ---> 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 2025-05-21 11:50.28 ---> using "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 11:50.28 ---> using "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:50.28 ---> 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 0d013e603b..c7d6d1d2aa master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> 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) 2025-05-21 11:50.28 ---> using "6d19d3996dbde981768da10e312cc45f7f699c4b087bc629901db816fcce6f43" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:50.28 ---> using "4b1f34a01828d241bb43df747a0805ca6edefb5d3b3690b7a6649fa3e0b35812" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-21 11:50.28 ---> using "b281501d70eec1b964fe055165109ef9bdfa962b0733065c5a726c9ebfcb95e7" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:50.28 ---> using "1093f336765b0555b6295790215bc929b41cf35d3f482963b71c849ed281d560" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/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% | 191.9 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 5.2 KiB/s | 28.8 KiB | 00m05s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 28.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 527.2 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-21 11:50.28 ---> using "4c2ab24e256e5649c481cb2902a6427a29d240da5ecf3085a651e84fa7f04bb6" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> 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 fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (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) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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) -> 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 stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> 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_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-05-21 11:50.28 ---> using "988ec11528caf4023f4cf8802ee33a6877da77cf607131ad018b314d3f377508" from cache /src: (copy (src .) (dst /src)) 2025-05-21 11:50.28 ---> saved as "597a41c803296990ecef81fd7e4f2a022a69d1fb6df00d235d3d3016365ff0cb" /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/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6331b8196d5b84fff2e0d92906010132/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b0fdcd47a63fc145593a7c3d2e20869f/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/b0fdcd47a63fc145593a7c3d2e20869f/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=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198500, batch loss=1.330503, epoch loss=38.401201 Batch=419, step=420, lr=0.198500, batch loss=0.617268, epoch loss=39.018469 Batch=479, step=480, lr=0.198000, batch loss=0.807463, epoch loss=39.825932 Batch=539, step=540, lr=0.198000, batch loss=0.688226, epoch loss=40.514158 Batch=599, step=600, lr=0.197750, batch loss=1.073839, epoch loss=41.587998 Batch=659, step=660, lr=0.197250, batch loss=0.482698, epoch loss=42.070695 Batch=719, step=720, lr=0.197250, batch loss=0.411254, epoch loss=42.481950 Batch=779, step=780, lr=0.197000, batch loss=0.469015, epoch loss=42.950965 Batch=839, step=840, lr=0.196750, batch loss=0.443090, epoch loss=43.394054 Batch=899, step=900, lr=0.196500, batch loss=0.384245, epoch loss=43.778300 Batch=959, step=960, lr=0.196000, batch loss=0.238793, epoch loss=44.017092 Batch=1019, step=1020, lr=0.195750, batch loss=0.439352, epoch loss=44.456445 Batch=1079, step=1080, lr=0.195750, batch loss=0.226346, epoch loss=44.682791 Batch=1139, step=1140, lr=0.195500, batch loss=0.314585, epoch loss=44.997376 Batch=1199, step=1200, lr=0.195250, batch loss=0.263761, epoch loss=45.261137 Epoch=0, step=1200, lr=0.195250, epoch loss=45.261137 Batch=59, step=1260, lr=0.195000, batch loss=0.262793, epoch loss=0.262793 Batch=119, step=1320, lr=0.194750, batch loss=0.210829, epoch loss=0.473622 Batch=179, step=1380, lr=0.194500, batch loss=0.245097, epoch loss=0.718719 Batch=239, step=1440, lr=0.194250, batch loss=0.352904, epoch loss=1.071623 Batch=299, step=1500, lr=0.194000, batch loss=0.238738, epoch loss=1.310361 Batch=359, step=1560, lr=0.193750, batch loss=0.312431, epoch loss=1.622793 Batch=419, step=1620, lr=0.193500, batch loss=0.309335, epoch loss=1.932127 Batch=479, step=1680, lr=0.193250, batch loss=0.276608, epoch loss=2.208735 Batch=539, step=1740, lr=0.193000, batch loss=0.211794, epoch loss=2.420529 Batch=599, step=1800, lr=0.192750, batch loss=0.253685, epoch loss=2.674215 Batch=659, step=1860, lr=0.192500, batch loss=0.374666, epoch loss=3.048880 Batch=719, step=1920, lr=0.192000, batch loss=0.359585, epoch loss=3.408465 Batch=779, step=1980, lr=0.192000, batch loss=0.386190, epoch loss=3.794655 Batch=839, step=2040, lr=0.191750, batch loss=0.348420, epoch loss=4.143074 Batch=899, step=2100, lr=0.191500, batch loss=0.326359, epoch loss=4.469433 Batch=959, step=2160, lr=0.191250, batch loss=0.253321, epoch loss=4.722754 Batch=1019, step=2220, lr=0.191000, batch loss=0.396861, epoch loss=5.119615 Batch=1079, step=2280, lr=0.190750, batch loss=0.243357, epoch loss=5.362973 Batch=1139, step=2340, lr=0.190500, batch loss=0.275313, epoch loss=5.638285 Batch=1199, step=2400, lr=0.190250, batch loss=0.212497, epoch loss=5.850782 Epoch=1, step=2400, lr=0.190250, epoch loss=5.850782 Batch=59, step=2460, lr=0.190000, batch loss=0.236095, epoch loss=0.236095 Batch=119, step=2520, lr=0.189750, batch loss=0.195384, epoch loss=0.431479 Batch=179, step=2580, lr=0.189500, batch loss=0.222615, epoch loss=0.654094 Batch=239, step=2640, lr=0.189250, batch loss=0.329730, epoch loss=0.983824 Batch=299, step=2700, lr=0.189000, batch loss=0.204082, epoch loss=1.187906 Batch=359, step=2760, lr=0.188750, batch loss=0.289089, epoch loss=1.476995 Batch=419, step=2820, lr=0.188500, batch loss=0.281158, epoch loss=1.758153 Batch=479, step=2880, lr=0.188250, batch loss=0.253082, epoch loss=2.011235 Batch=539, step=2940, lr=0.188000, batch loss=0.192532, epoch loss=2.203767 Batch=599, step=3000, lr=0.187750, batch loss=0.225580, epoch loss=2.429347 Batch=659, step=3060, lr=0.187500, batch loss=0.332797, epoch loss=2.762144 Batch=719, step=3120, lr=0.187250, batch loss=0.335927, epoch loss=3.098070 Batch=779, step=3180, lr=0.187000, batch loss=0.355127, epoch loss=3.453197 Batch=839, step=3240, lr=0.186750, batch loss=0.330172, epoch loss=3.783370 Batch=899, step=3300, lr=0.186500, batch loss=0.298824, epoch loss=4.082194 Batch=959, step=3360, lr=0.186250, batch loss=0.235395, epoch loss=4.317589 Batch=1019, step=3420, lr=0.186000, batch loss=0.338332, epoch loss=4.655921 Batch=1079, step=3480, lr=0.185750, batch loss=0.193844, epoch loss=4.849765 Batch=1139, step=3540, lr=0.185500, batch loss=0.235744, epoch loss=5.085508 Batch=1199, step=3600, lr=0.185250, batch loss=0.198696, epoch loss=5.284205 Epoch=2, step=3600, lr=0.185250, epoch loss=5.284205 Batch=59, step=3660, lr=0.185000, batch loss=0.229406, epoch loss=0.229406 Batch=119, step=3720, lr=0.184750, batch loss=0.192516, epoch loss=0.421923 Batch=179, step=3780, lr=0.184500, batch loss=0.211834, epoch loss=0.633757 Batch=239, step=3840, lr=0.184250, batch loss=0.316273, epoch loss=0.950030 Batch=299, step=3900, lr=0.183750, batch loss=0.205143, epoch loss=1.155172 Batch=359, step=3960, lr=0.183750, batch loss=0.281684, epoch loss=1.436857 Batch=419, step=4020, lr=0.183250, batch loss=0.273290, epoch loss=1.710147 Batch=479, step=4080, lr=0.183250, batch loss=0.249238, epoch loss=1.959385 Batch=539, step=4140, lr=0.183000, batch loss=0.196644, epoch loss=2.156028 Batch=599, step=4200, lr=0.182750, batch loss=0.241289, epoch loss=2.397317 Batch=659, step=4260, lr=0.182500, batch loss=0.329281, epoch loss=2.726598 Batch=719, step=4320, lr=0.182250, batch loss=0.328196, epoch loss=3.054794 Batch=779, step=4380, lr=0.182000, batch loss=0.352213, epoch loss=3.407007 Batch=839, step=4440, lr=0.181750, batch loss=0.318066, epoch loss=3.725073 Batch=899, step=4500, lr=0.181500, batch loss=0.293225, epoch loss=4.018298 Batch=959, step=4560, lr=0.181250, batch loss=0.241606, epoch loss=4.259905 Batch=1019, step=4620, lr=0.181000, batch loss=0.342664, epoch loss=4.602569 Batch=1079, step=4680, lr=0.180750, batch loss=0.216947, epoch loss=4.819515 Batch=1139, step=4740, lr=0.180500, batch loss=0.248239, epoch loss=5.067754 Batch=1199, step=4800, lr=0.180250, batch loss=0.191893, epoch loss=5.259647 Epoch=3, step=4800, lr=0.180250, epoch loss=5.259647 Batch=59, step=4860, lr=0.180000, batch loss=0.228041, epoch loss=0.228041 Batch=119, step=4920, lr=0.179750, batch loss=0.189733, epoch loss=0.417773 Batch=179, step=4980, lr=0.179500, batch loss=0.207200, epoch loss=0.624974 Batch=239, step=5040, lr=0.179250, batch loss=0.310056, epoch loss=0.935030 Batch=299, step=5100, lr=0.178750, batch loss=0.204949, epoch loss=1.139979 Batch=359, step=5160, lr=0.178750, batch loss=0.276508, epoch loss=1.416487 Batch=419, step=5220, lr=0.178500, batch loss=0.265450, epoch loss=1.681937 Batch=479, step=5280, lr=0.178250, batch loss=0.239565, epoch loss=1.921501 Batch=539, step=5340, lr=0.178000, batch loss=0.191259, epoch loss=2.112761 Batch=599, step=5400, lr=0.177500, batch loss=0.228737, epoch loss=2.341497 Batch=659, step=5460, lr=0.177500, batch loss=0.326132, epoch loss=2.667629 Batch=719, step=5520, lr=0.177250, batch loss=0.335000, epoch loss=3.002629 Batch=779, step=5580, lr=0.177000, batch loss=0.344014, epoch loss=3.346643 Batch=839, step=5640, lr=0.176750, batch loss=0.309948, epoch loss=3.656591 Batch=899, step=5700, lr=0.176500, batch loss=0.271540, epoch loss=3.928131 Batch=959, step=5760, lr=0.176250, batch loss=0.217900, epoch loss=4.146031 Batch=1019, step=5820, lr=0.176000, batch loss=0.336268, epoch loss=4.482299 Batch=1079, step=5880, lr=0.175750, batch loss=0.188003, epoch loss=4.670302 Batch=1139, step=5940, lr=0.175500, batch loss=0.221179, epoch loss=4.891481 Batch=1199, step=6000, lr=0.175250, batch loss=0.186847, epoch loss=5.078329 Epoch=4, step=6000, lr=0.175250, epoch loss=5.078329 Batch=59, step=6060, lr=0.175000, batch loss=0.232421, epoch loss=0.232421 Batch=119, step=6120, lr=0.174750, batch loss=0.192405, epoch loss=0.424826 Batch=179, step=6180, lr=0.174500, batch loss=0.202053, epoch loss=0.626879 Batch=239, step=6240, lr=0.174250, batch loss=0.299352, epoch loss=0.926231 Batch=299, step=6300, lr=0.174000, batch loss=0.198805, epoch loss=1.125036 Batch=359, step=6360, lr=0.173750, batch loss=0.264761, epoch loss=1.389797 Batch=419, step=6420, lr=0.173500, batch loss=0.258219, epoch loss=1.648016 Batch=479, step=6480, lr=0.173250, batch loss=0.235201, epoch loss=1.883217 Batch=539, step=6540, lr=0.173000, batch loss=0.190319, epoch loss=2.073536 Batch=599, step=6600, lr=0.172750, batch loss=0.232983, epoch loss=2.306519 Batch=659, step=6660, lr=0.172500, batch loss=0.313679, epoch loss=2.620198 Batch=719, step=6720, lr=0.172250, batch loss=0.318015, epoch loss=2.938212 Batch=779, step=6780, lr=0.172000, batch loss=0.331029, epoch loss=3.269241 Batch=839, step=6840, lr=0.171750, batch loss=0.305417, epoch loss=3.574659 Batch=899, step=6900, lr=0.171500, batch loss=0.265967, epoch loss=3.840626 Batch=959, step=6960, lr=0.171250, batch loss=0.216368, epoch loss=4.056994 Batch=1019, step=7020, lr=0.171000, batch loss=0.323195, epoch loss=4.380189 Batch=1079, step=7080, lr=0.170750, batch loss=0.178269, epoch loss=4.558457 Batch=1139, step=7140, lr=0.170500, batch loss=0.215249, epoch loss=4.773707 Batch=1199, step=7200, lr=0.170250, batch loss=0.183386, epoch loss=4.957093 Epoch=5, step=7200, lr=0.170250, epoch loss=4.957093 Batch=59, step=7260, lr=0.170000, batch loss=0.240630, epoch loss=0.240630 Batch=119, step=7320, lr=0.169750, batch loss=0.179691, epoch loss=0.420321 Batch=179, step=7380, lr=0.169500, batch loss=0.194850, epoch loss=0.615171 Batch=239, step=7440, lr=0.169250, batch loss=0.290467, epoch loss=0.905637 Batch=299, step=7500, lr=0.169000, batch loss=0.206201, epoch loss=1.111838 Batch=359, step=7560, lr=0.168750, batch loss=0.262778, epoch loss=1.374616 Batch=419, step=7620, lr=0.168500, batch loss=0.253493, epoch loss=1.628109 Batch=479, step=7680, lr=0.168250, batch loss=0.233337, epoch loss=1.861446 Batch=539, step=7740, lr=0.168000, batch loss=0.192898, epoch loss=2.054345 Batch=599, step=7800, lr=0.167750, batch loss=0.227522, epoch loss=2.281866 Batch=659, step=7860, lr=0.167500, batch loss=0.305186, epoch loss=2.587052 Batch=719, step=7920, lr=0.167250, batch loss=0.308975, epoch loss=2.896027 Batch=779, step=7980, lr=0.167000, batch loss=0.329922, epoch loss=3.225949 Batch=839, step=8040, lr=0.166750, batch loss=0.292684, epoch loss=3.518633 Batch=899, step=8100, lr=0.166500, batch loss=0.263674, epoch loss=3.782306 Batch=959, step=8160, lr=0.166250, batch loss=0.198088, epoch loss=3.980395 Batch=1019, step=8220, lr=0.166000, batch loss=0.328168, epoch loss=4.308563 Batch=1079, step=8280, lr=0.165750, batch loss=0.194284, epoch loss=4.502847 Batch=1139, step=8340, lr=0.165500, batch loss=0.216601, epoch loss=4.719449 Batch=1199, step=8400, lr=0.165250, batch loss=0.173837, epoch loss=4.893285 Epoch=6, step=8400, lr=0.165250, epoch loss=4.893285 Batch=59, step=8460, lr=0.165000, batch loss=0.211069, epoch loss=0.211069 Batch=119, step=8520, lr=0.164750, batch loss=0.172535, epoch loss=0.383604 Batch=179, step=8580, lr=0.164500, batch loss=0.188299, epoch loss=0.571903 Batch=239, step=8640, lr=0.164250, batch loss=0.278858, epoch loss=0.850760 Batch=299, step=8700, lr=0.164000, batch loss=0.190981, epoch loss=1.041741 Batch=359, step=8760, lr=0.163750, batch loss=0.249671, epoch loss=1.291412 Batch=419, step=8820, lr=0.163500, batch loss=0.244866, epoch loss=1.536278 Batch=479, step=8880, lr=0.163250, batch loss=0.229529, epoch loss=1.765807 Batch=539, step=8940, lr=0.163000, batch loss=0.177825, epoch loss=1.943633 Batch=599, step=9000, lr=0.162750, batch loss=0.218967, epoch loss=2.162600 Batch=659, step=9060, lr=0.162500, batch loss=0.294259, epoch loss=2.456859 Batch=719, step=9120, lr=0.162250, batch loss=0.297853, epoch loss=2.754712 Batch=779, step=9180, lr=0.162000, batch loss=0.315300, epoch loss=3.070012 Batch=839, step=9240, lr=0.161750, batch loss=0.282971, epoch loss=3.352983 Batch=899, step=9300, lr=0.161500, batch loss=0.253687, epoch loss=3.606670 Batch=959, step=9360, lr=0.161250, batch loss=0.188317, epoch loss=3.794988 Batch=1019, step=9420, lr=0.161000, batch loss=0.320622, epoch loss=4.115610 Batch=1079, step=9480, lr=0.160750, batch loss=0.195696, epoch loss=4.311306 Batch=1139, step=9540, lr=0.160500, batch loss=0.213661, epoch loss=4.524967 Batch=1199, step=9600, lr=0.160250, batch loss=0.168761, epoch loss=4.693728 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693728 Batch=59, step=9660, lr=0.160000, batch loss=0.202153, epoch loss=0.202153 Batch=119, step=9720, lr=0.159750, batch loss=0.164633, epoch loss=0.366786 Batch=179, step=9780, lr=0.159500, batch loss=0.179423, epoch loss=0.546208 Batch=239, step=9840, lr=0.159250, batch loss=0.263712, epoch loss=0.809921 Batch=299, step=9900, lr=0.159000, batch loss=0.183149, epoch loss=0.993070 Batch=359, step=9960, lr=0.158750, batch loss=0.241098, epoch loss=1.234169 Batch=419, step=10020, lr=0.158500, batch loss=0.233213, epoch loss=1.467382 Batch=479, step=10080, lr=0.158250, batch loss=0.215588, epoch loss=1.682969 Batch=539, step=10140, lr=0.158000, batch loss=0.171066, epoch loss=1.854036 Batch=599, step=10200, lr=0.157750, batch loss=0.204255, epoch loss=2.058291 Batch=659, step=10260, lr=0.157500, batch loss=0.282031, epoch loss=2.340322 Batch=719, step=10320, lr=0.157000, batch loss=0.279482, epoch loss=2.619804 Batch=779, step=10380, lr=0.157000, batch loss=0.298758, epoch loss=2.918562 Batch=839, step=10440, lr=0.156750, batch loss=0.273477, epoch loss=3.192039 Batch=899, step=10500, lr=0.156250, batch loss=0.239308, epoch loss=3.431347 Batch=959, step=10560, lr=0.156000, batch loss=0.177315, epoch loss=3.608663 Batch=1019, step=10620, lr=0.155750, batch loss=0.285174, epoch loss=3.893837 Batch=1079, step=10680, lr=0.155500, batch loss=0.160271, epoch loss=4.054108 Batch=1139, step=10740, lr=0.155500, batch loss=0.188785, epoch loss=4.242893 Batch=1199, step=10800, lr=0.155250, batch loss=0.156089, epoch loss=4.398982 Epoch=8, step=10800, lr=0.155250, epoch loss=4.398982 Batch=59, step=10860, lr=0.155000, batch loss=0.180507, epoch loss=0.180507 Batch=119, step=10920, lr=0.154750, batch loss=0.151185, epoch loss=0.331693 Batch=179, step=10980, lr=0.154250, batch loss=0.167292, epoch loss=0.498984 Batch=239, step=11040, lr=0.154250, batch loss=0.242959, epoch loss=0.741943 Batch=299, step=11100, lr=0.154000, batch loss=0.174175, epoch loss=0.916118 Batch=359, step=11160, lr=0.153750, batch loss=0.221616, epoch loss=1.137733 Batch=419, step=11220, lr=0.153500, batch loss=0.216692, epoch loss=1.354426 Batch=479, step=11280, lr=0.153250, batch loss=0.202887, epoch loss=1.557313 Batch=539, step=11340, lr=0.153000, batch loss=0.160272, epoch loss=1.717585 Batch=599, step=11400, lr=0.152750, batch loss=0.179520, epoch loss=1.897105 Batch=659, step=11460, lr=0.152500, batch loss=0.266864, epoch loss=2.163969 Batch=719, step=11520, lr=0.152250, batch loss=0.262843, epoch loss=2.426811 Batch=779, step=11580, lr=0.152000, batch loss=0.274632, epoch loss=2.701443 Batch=839, step=11640, lr=0.151750, batch loss=0.259345, epoch loss=2.960788 Batch=899, step=11700, lr=0.151500, batch loss=0.214887, epoch loss=3.175676 Batch=959, step=11760, lr=0.151250, batch loss=0.168836, epoch loss=3.344512 Batch=1019, step=11820, lr=0.151000, batch loss=0.272470, epoch loss=3.616982 Batch=1079, step=11880, lr=0.150750, batch loss=0.153346, epoch loss=3.770328 Batch=1139, step=11940, lr=0.150500, batch loss=0.187378, epoch loss=3.957706 Batch=1199, step=12000, lr=0.150250, batch loss=0.141981, epoch loss=4.099687 Epoch=9, step=12000, lr=0.150250, epoch loss=4.099687 Batch=59, step=12060, lr=0.150000, batch loss=0.160611, epoch loss=0.160611 Batch=119, step=12120, lr=0.149750, batch loss=0.129647, epoch loss=0.290258 Batch=179, step=12180, lr=0.149500, batch loss=0.151485, epoch loss=0.441743 Batch=239, step=12240, lr=0.149250, batch loss=0.220366, epoch loss=0.662109 Batch=299, step=12300, lr=0.149000, batch loss=0.146229, epoch loss=0.808338 Batch=359, step=12360, lr=0.148750, batch loss=0.199187, epoch loss=1.007525 Batch=419, step=12420, lr=0.148500, batch loss=0.207982, epoch loss=1.215506 Batch=479, step=12480, lr=0.148250, batch loss=0.182663, epoch loss=1.398169 Batch=539, step=12540, lr=0.148000, batch loss=0.144007, epoch loss=1.542176 Batch=599, step=12600, lr=0.147750, batch loss=0.153665, epoch loss=1.695842 Batch=659, step=12660, lr=0.147500, batch loss=0.226419, epoch loss=1.922261 Batch=719, step=12720, lr=0.147250, batch loss=0.236758, epoch loss=2.159019 Batch=779, step=12780, lr=0.147000, batch loss=0.257371, epoch loss=2.416390 Batch=839, step=12840, lr=0.146750, batch loss=0.227303, epoch loss=2.643693 Batch=899, step=12900, lr=0.146500, batch loss=0.189172, epoch loss=2.832865 Batch=959, step=12960, lr=0.146250, batch loss=0.153756, epoch loss=2.986620 Batch=1019, step=13020, lr=0.146000, batch loss=0.266001, epoch loss=3.252622 Batch=1079, step=13080, lr=0.145750, batch loss=0.117686, epoch loss=3.370308 Batch=1139, step=13140, lr=0.145500, batch loss=0.151739, epoch loss=3.522046 Batch=1199, step=13200, lr=0.145250, batch loss=0.119812, epoch loss=3.641858 Epoch=10, step=13200, lr=0.145250, epoch loss=3.641858 Batch=59, step=13260, lr=0.145000, batch loss=0.141844, epoch loss=0.141844 Batch=119, step=13320, lr=0.144750, batch loss=0.124586, epoch loss=0.266430 Batch=179, step=13380, lr=0.144500, batch loss=0.131001, epoch loss=0.397430 Batch=239, step=13440, lr=0.144250, batch loss=0.198324, epoch loss=0.595754 Batch=299, step=13500, lr=0.144000, batch loss=0.125768, epoch loss=0.721523 Batch=359, step=13560, lr=0.143750, batch loss=0.165896, epoch loss=0.887418 Batch=419, step=13620, lr=0.143500, batch loss=0.164722, epoch loss=1.052141 Batch=479, step=13680, lr=0.143250, batch loss=0.147937, epoch loss=1.200077 Batch=539, step=13740, lr=0.143000, batch loss=0.122106, epoch loss=1.322184 Batch=599, step=13800, lr=0.142750, batch loss=0.123350, epoch loss=1.445534 Batch=659, step=13860, lr=0.142250, batch loss=0.180635, epoch loss=1.626169 Batch=719, step=13920, lr=0.142250, batch loss=0.181081, epoch loss=1.807250 Batch=779, step=13980, lr=0.142000, batch loss=0.202932, epoch loss=2.010182 Batch=839, step=14040, lr=0.141500, batch loss=0.190077, epoch loss=2.200259 Batch=899, step=14100, lr=0.141500, batch loss=0.162797, epoch loss=2.363056 Batch=959, step=14160, lr=0.141250, batch loss=0.138861, epoch loss=2.501916 Batch=1019, step=14220, lr=0.141000, batch loss=0.281487, epoch loss=2.783403 Batch=1079, step=14280, lr=0.140750, batch loss=0.088473, epoch loss=2.871876 Batch=1139, step=14340, lr=0.140500, batch loss=0.134213, epoch loss=3.006089 Batch=1199, step=14400, lr=0.140250, batch loss=0.097821, epoch loss=3.103909 Epoch=11, step=14400, lr=0.140250, epoch loss=3.103909 Batch=59, step=14460, lr=0.140000, batch loss=0.122001, epoch loss=0.122001 Batch=119, step=14520, lr=0.139750, batch loss=0.107468, epoch loss=0.229470 Batch=179, step=14580, lr=0.139500, batch loss=0.106142, epoch loss=0.335612 Batch=239, step=14640, lr=0.139000, batch loss=0.147930, epoch loss=0.483542 Batch=299, step=14700, lr=0.139000, batch loss=0.080618, epoch loss=0.564160 Batch=359, step=14760, lr=0.138750, batch loss=0.124416, epoch loss=0.688576 Batch=419, step=14820, lr=0.138250, batch loss=0.127773, epoch loss=0.816349 Batch=479, step=14880, lr=0.138000, batch loss=0.109514, epoch loss=0.925862 Batch=539, step=14940, lr=0.138000, batch loss=0.105307, epoch loss=1.031169 Batch=599, step=15000, lr=0.137750, batch loss=0.088573, epoch loss=1.119742 Batch=659, step=15060, lr=0.137500, batch loss=0.131548, epoch loss=1.251290 Batch=719, step=15120, lr=0.137250, batch loss=0.134224, epoch loss=1.385514 Batch=779, step=15180, lr=0.137000, batch loss=0.147536, epoch loss=1.533050 Batch=839, step=15240, lr=0.136750, batch loss=0.163259, epoch loss=1.696309 Batch=899, step=15300, lr=0.136500, batch loss=0.263280, epoch loss=1.959590 Batch=959, step=15360, lr=0.136250, batch loss=0.072987, epoch loss=2.032577 Batch=1019, step=15420, lr=0.136000, batch loss=0.174868, epoch loss=2.207445 Batch=1079, step=15480, lr=0.135750, batch loss=0.040626, epoch loss=2.248071 Batch=1139, step=15540, lr=0.135500, batch loss=0.095559, epoch loss=2.343630 Batch=1199, step=15600, lr=0.135250, batch loss=0.060616, epoch loss=2.404246 Epoch=12, step=15600, lr=0.135250, epoch loss=2.404246 Batch=59, step=15660, lr=0.135000, batch loss=0.082012, epoch loss=0.082012 Batch=119, step=15720, lr=0.134750, batch loss=0.121968, epoch loss=0.203980 Batch=179, step=15780, lr=0.134500, batch loss=0.094093, epoch loss=0.298072 Batch=239, step=15840, lr=0.134250, batch loss=0.098987, epoch loss=0.397059 Batch=299, step=15900, lr=0.134000, batch loss=0.042529, epoch loss=0.439588 Batch=359, step=15960, lr=0.133750, batch loss=0.084152, epoch loss=0.523741 Batch=419, step=16020, lr=0.133500, batch loss=0.083596, epoch loss=0.607337 Batch=479, step=16080, lr=0.133250, batch loss=0.064566, epoch loss=0.671903 Batch=539, step=16140, lr=0.133000, batch loss=0.060973, epoch loss=0.732876 Batch=599, step=16200, lr=0.132750, batch loss=0.141762, epoch loss=0.874638 Batch=659, step=16260, lr=0.132500, batch loss=0.087076, epoch loss=0.961714 Batch=719, step=16320, lr=0.132250, batch loss=0.102517, epoch loss=1.064231 Batch=779, step=16380, lr=0.132000, batch loss=0.206590, epoch loss=1.270821 Batch=839, step=16440, lr=0.131750, batch loss=0.092899, epoch loss=1.363720 Batch=899, step=16500, lr=0.131500, batch loss=0.084120, epoch loss=1.447840 Batch=959, step=16560, lr=0.131250, batch loss=0.046733, epoch loss=1.494573 Batch=1019, step=16620, lr=0.131000, batch loss=0.110664, epoch loss=1.605237 Batch=1079, step=16680, lr=0.130750, batch loss=0.025851, epoch loss=1.631087 Batch=1139, step=16740, lr=0.130500, batch loss=0.058383, epoch loss=1.689470 Batch=1199, step=16800, lr=0.130250, batch loss=0.029026, epoch loss=1.718496 Epoch=13, step=16800, lr=0.130250, epoch loss=1.718496 Batch=59, step=16860, lr=0.130000, batch loss=0.039609, epoch loss=0.039609 Batch=119, step=16920, lr=0.129750, batch loss=0.056639, epoch loss=0.096249 Batch=179, step=16980, lr=0.129500, batch loss=0.051336, epoch loss=0.147585 Batch=239, step=17040, lr=0.129250, batch loss=0.070959, epoch loss=0.218544 Batch=299, step=17100, lr=0.129000, batch loss=0.034190, epoch loss=0.252734 Batch=359, step=17160, lr=0.128750, batch loss=0.058601, epoch loss=0.311335 Batch=419, step=17220, lr=0.128500, batch loss=0.120805, epoch loss=0.432140 Batch=479, step=17280, lr=0.128250, batch loss=0.029388, epoch loss=0.461528 Batch=539, step=17340, lr=0.128000, batch loss=0.031927, epoch loss=0.493455 Batch=599, step=17400, lr=0.127750, batch loss=0.046278, epoch loss=0.539734 Batch=659, step=17460, lr=0.127500, batch loss=0.054559, epoch loss=0.594292 Batch=719, step=17520, lr=0.127250, batch loss=0.057223, epoch loss=0.651515 Batch=779, step=17580, lr=0.127000, batch loss=0.067333, epoch loss=0.718848 Batch=839, step=17640, lr=0.126750, batch loss=0.100124, epoch loss=0.818972 Batch=899, step=17700, lr=0.126500, batch loss=0.050895, epoch loss=0.869866 Batch=959, step=17760, lr=0.126250, batch loss=0.020467, epoch loss=0.890333 Batch=1019, step=17820, lr=0.126000, batch loss=0.050983, epoch loss=0.941316 Batch=1079, step=17880, lr=0.125750, batch loss=0.039980, epoch loss=0.981296 Batch=1139, step=17940, lr=0.125500, batch loss=0.073591, epoch loss=1.054887 Batch=1199, step=18000, lr=0.125250, batch loss=0.025606, epoch loss=1.080493 Epoch=14, step=18000, lr=0.125250, epoch loss=1.080493 Batch=59, step=18060, lr=0.125000, batch loss=0.016469, epoch loss=0.016469 Batch=119, step=18120, lr=0.124750, batch loss=0.024508, epoch loss=0.040977 Batch=179, step=18180, lr=0.124500, batch loss=0.052634, epoch loss=0.093611 Batch=239, step=18240, lr=0.124250, batch loss=0.037355, epoch loss=0.130966 Batch=299, step=18300, lr=0.124000, batch loss=0.008796, epoch loss=0.139762 Batch=359, step=18360, lr=0.123750, batch loss=0.026646, epoch loss=0.166408 Batch=419, step=18420, lr=0.123500, batch loss=0.032745, epoch loss=0.199152 Batch=479, step=18480, lr=0.123250, batch loss=0.019859, epoch loss=0.219011 Batch=539, step=18540, lr=0.123000, batch loss=0.030898, epoch loss=0.249909 Batch=599, step=18600, lr=0.122500, batch loss=0.025843, epoch loss=0.275751 Batch=659, step=18660, lr=0.122500, batch loss=0.035277, epoch loss=0.311028 Batch=719, step=18720, lr=0.122250, batch loss=0.041884, epoch loss=0.352912 Batch=779, step=18780, lr=0.122000, batch loss=0.119057, epoch loss=0.471970 Batch=839, step=18840, lr=0.121500, batch loss=0.056654, epoch loss=0.528624 Batch=899, step=18900, lr=0.121500, batch loss=0.058792, epoch loss=0.587416 Batch=959, step=18960, lr=0.121250, batch loss=0.014198, epoch loss=0.601614 Batch=1019, step=19020, lr=0.121000, batch loss=0.017359, epoch loss=0.618973 Batch=1079, step=19080, lr=0.120750, batch loss=0.009935, epoch loss=0.628908 Batch=1139, step=19140, lr=0.120500, batch loss=0.023864, epoch loss=0.652772 Batch=1199, step=19200, lr=0.120250, batch loss=0.009912, epoch loss=0.662683 Epoch=15, step=19200, lr=0.120250, epoch loss=0.662683 Batch=59, step=19260, lr=0.120000, batch loss=0.004647, epoch loss=0.004647 Batch=119, step=19320, lr=0.119750, batch loss=0.021340, epoch loss=0.025987 Batch=179, step=19380, lr=0.119500, batch loss=0.051409, epoch loss=0.077397 Batch=239, step=19440, lr=0.119250, batch loss=0.023398, epoch loss=0.100795 Batch=299, step=19500, lr=0.119000, batch loss=0.015060, epoch loss=0.115854 Batch=359, step=19560, lr=0.118750, batch loss=0.035070, epoch loss=0.150924 Batch=419, step=19620, lr=0.118500, batch loss=0.021226, epoch loss=0.172150 Batch=479, step=19680, lr=0.118250, batch loss=0.008740, epoch loss=0.180890 Batch=539, step=19740, lr=0.118000, batch loss=0.017878, epoch loss=0.198768 Batch=599, step=19800, lr=0.117750, batch loss=0.024533, epoch loss=0.223301 Batch=659, step=19860, lr=0.117500, batch loss=0.022096, epoch loss=0.245397 Batch=719, step=19920, lr=0.117250, batch loss=0.050025, epoch loss=0.295422 Batch=779, step=19980, lr=0.117000, batch loss=0.081691, epoch loss=0.377113 Batch=839, step=20040, lr=0.116750, batch loss=0.030831, epoch loss=0.407944 Batch=899, step=20100, lr=0.116500, batch loss=0.029679, epoch loss=0.437623 Batch=959, step=20160, lr=0.116250, batch loss=0.018178, epoch loss=0.455802 Batch=1019, step=20220, lr=0.116000, batch loss=0.023173, epoch loss=0.478975 Batch=1079, step=20280, lr=0.115750, batch loss=0.003132, epoch loss=0.482107 Batch=1139, step=20340, lr=0.115500, batch loss=0.015481, epoch loss=0.497588 Batch=1199, step=20400, lr=0.115250, batch loss=0.006350, epoch loss=0.503938 Epoch=16, step=20400, lr=0.115250, epoch loss=0.503938 Batch=59, step=20460, lr=0.115000, batch loss=0.003213, epoch loss=0.003213 Batch=119, step=20520, lr=0.114750, batch loss=0.010493, epoch loss=0.013706 Batch=179, step=20580, lr=0.114500, batch loss=0.021279, epoch loss=0.034984 Batch=239, step=20640, lr=0.114250, batch loss=0.018592, epoch loss=0.053577 Batch=299, step=20700, lr=0.114000, batch loss=0.008585, epoch loss=0.062162 Batch=359, step=20760, lr=0.113750, batch loss=0.013572, epoch loss=0.075734 Batch=419, step=20820, lr=0.113500, batch loss=0.014787, epoch loss=0.090521 Batch=479, step=20880, lr=0.113000, batch loss=0.004748, epoch loss=0.095268 Batch=539, step=20940, lr=0.113000, batch loss=0.015568, epoch loss=0.110836 Batch=599, step=21000, lr=0.112750, batch loss=0.018841, epoch loss=0.129677 Batch=659, step=21060, lr=0.112500, batch loss=0.015684, epoch loss=0.145361 Batch=719, step=21120, lr=0.112250, batch loss=0.041303, epoch loss=0.186664 Batch=779, step=21180, lr=0.112000, batch loss=0.073859, epoch loss=0.260523 Batch=839, step=21240, lr=0.111750, batch loss=0.026451, epoch loss=0.286974 Batch=899, step=21300, lr=0.111500, batch loss=0.027645, epoch loss=0.314619 Batch=959, step=21360, lr=0.111250, batch loss=0.009923, epoch loss=0.324542 Batch=1019, step=21420, lr=0.111000, batch loss=0.010976, epoch loss=0.335518 Batch=1079, step=21480, lr=0.110750, batch loss=0.001818, epoch loss=0.337336 Batch=1139, step=21540, lr=0.110500, batch loss=0.012685, epoch loss=0.350021 Batch=1199, step=21600, lr=0.110250, batch loss=0.005300, epoch loss=0.355320 Epoch=17, step=21600, lr=0.110250, epoch loss=0.355320 Batch=59, step=21660, lr=0.110000, batch loss=0.002621, epoch loss=0.002621 Batch=119, step=21720, lr=0.109750, batch loss=0.006625, epoch loss=0.009247 Batch=179, step=21780, lr=0.109500, batch loss=0.012725, epoch loss=0.021972 Batch=239, step=21840, lr=0.109250, batch loss=0.009524, epoch loss=0.031495 Batch=299, step=21900, lr=0.109000, batch loss=0.004035, epoch loss=0.035530 Batch=359, step=21960, lr=0.108750, batch loss=0.013605, epoch loss=0.049135 Batch=419, step=22020, lr=0.108500, batch loss=0.012737, epoch loss=0.061872 Batch=479, step=22080, lr=0.108250, batch loss=0.003063, epoch loss=0.064935 Batch=539, step=22140, lr=0.108000, batch loss=0.016710, epoch loss=0.081645 Batch=599, step=22200, lr=0.107750, batch loss=0.017191, epoch loss=0.098836 Batch=659, step=22260, lr=0.107500, batch loss=0.015197, epoch loss=0.114033 Batch=719, step=22320, lr=0.107250, batch loss=0.025377, epoch loss=0.139410 Batch=779, step=22380, lr=0.107000, batch loss=0.044965, epoch loss=0.184374 Batch=839, step=22440, lr=0.106750, batch loss=0.021825, epoch loss=0.206199 Batch=899, step=22500, lr=0.106500, batch loss=0.021790, epoch loss=0.227989 Batch=959, step=22560, lr=0.106250, batch loss=0.010160, epoch loss=0.238149 Batch=1019, step=22620, lr=0.106000, batch loss=0.010499, epoch loss=0.248648 Batch=1079, step=22680, lr=0.105750, batch loss=0.000256, epoch loss=0.248904 Batch=1139, step=22740, lr=0.105500, batch loss=0.010904, epoch loss=0.259808 Batch=1199, step=22800, lr=0.105250, batch loss=0.004508, epoch loss=0.264315 Epoch=18, step=22800, lr=0.105250, epoch loss=0.264315 Batch=59, step=22860, lr=0.104750, batch loss=0.001574, epoch loss=0.001574 Batch=119, step=22920, lr=0.104750, batch loss=0.005481, epoch loss=0.007055 Batch=179, step=22980, lr=0.104500, batch loss=0.010884, epoch loss=0.017939 Batch=239, step=23040, lr=0.104250, batch loss=0.010404, epoch loss=0.028343 Batch=299, step=23100, lr=0.104000, batch loss=0.010076, epoch loss=0.038419 Batch=359, step=23160, lr=0.103750, batch loss=0.011973, epoch loss=0.050392 Batch=419, step=23220, lr=0.103500, batch loss=0.011132, epoch loss=0.061524 Batch=479, step=23280, lr=0.103250, batch loss=0.003774, epoch loss=0.065298 Batch=539, step=23340, lr=0.103000, batch loss=0.013521, epoch loss=0.078819 Batch=599, step=23400, lr=0.102750, batch loss=0.015033, epoch loss=0.093852 Batch=659, step=23460, lr=0.102500, batch loss=0.015560, epoch loss=0.109412 Batch=719, step=23520, lr=0.102250, batch loss=0.016396, epoch loss=0.125808 Batch=779, step=23580, lr=0.102000, batch loss=0.020803, epoch loss=0.146611 Batch=839, step=23640, lr=0.101750, batch loss=0.027857, epoch loss=0.174468 Batch=899, step=23700, lr=0.101500, batch loss=0.021767, epoch loss=0.196236 Batch=959, step=23760, lr=0.101000, batch loss=0.010272, epoch loss=0.206508 Batch=1019, step=23820, lr=0.101000, batch loss=0.009500, epoch loss=0.216008 Batch=1079, step=23880, lr=0.100750, batch loss=0.000959, epoch loss=0.216967 Batch=1139, step=23940, lr=0.100500, batch loss=0.009236, epoch loss=0.226203 Batch=1199, step=24000, lr=0.100250, batch loss=0.004618, epoch loss=0.230821 Epoch=19, step=24000, lr=0.100250, epoch loss=0.230821 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 2025-05-21 11:51.21: Job failed: Failed: Build failed