2025-05-15 20:27.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (41a9d1e5f397edec7b8eef338a671210d4e6f970) (linux-x86_64:fedora-42-5.3_opam-2.3)Base: ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373Opam project buildTo reproduce locally:git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 41a9d1e5cat > Dockerfile <<'END-OF-DOCKERFILE'FROM ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373# fedora-42-5.3_opam-2.3USER 1000:1000ENV CLICOLOR_FORCE="1"ENV OPAMCOLOR="always"WORKDIR /srcRUN sudo dnf install -y findutilsRUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opamRUN opam init --reinit -niRUN uname -rs && opam exec -- ocaml -version && opam --versionWORKDIR /srcRUN sudo chown opam /srcRUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -uCOPY --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 $DEPSRUN opam install $DEPSCOPY --chown=1000:1000 . /srcRUN opam exec -- dune build @install @check @runtest && rm -rf _buildEND-OF-DOCKERFILEdocker build .END-REPRO-BLOCK2025-05-15 20:27.23: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"2025-05-15 20:27.23: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))(run (network host)(shell "opam pin add -yn neural_nets_lib.dev './' && \\nopam pin add -yn arrayjit.dev './'"))(run (network host)(shell "echo '(lang dune 3.0)' > './dune-project'"))(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")(env CI true)(env OCAMLCI true)(run (cache (opam-archives (target /home/opam/.opam/download-cache)))(network host)(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))(run (cache (opam-archives (target /home/opam/.opam/download-cache)))(network host)(shell "opam install $DEPS"))(copy (src .) (dst /src))(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")))2025-05-15 20:27.23: Waiting for resource in pool OCluster2025-05-15 20:27.23: Waiting for worker…2025-05-15 20:30.23: Got resource from pool OClusterBuilding on laodoke.caelum.ci.devHEAD is now at 9156a204 Logging test harnessHEAD is now at 41a9d1e5 Unified logging for C_syntax, refactored by Gemini CUDA and Metal in-progress / broken: unfinished and potentially buggy.(from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373)2025-05-15 20:31.41 ---> 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 - x86_64 - Updates 100% | 55.7 KiB/s | 23.7 KiB | 00m00sFedora 42 - x86_64 - Updates 100% | 1.6 MiB/s | 2.7 MiB | 00m02sRepositories loaded.Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed.Nothing to do.2025-05-15 20:31.48 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb"/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))2025-05-15 20:31.49 ---> 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.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] yFormat upgrade done.<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>[default] Initialised2025-05-15 20:32.45 ---> saved as "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212"/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))Linux 5.15.0-139-genericThe OCaml toplevel, version 5.3.02.3.02025-05-15 20:32.47 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4"/src: (workdir /src)/src: (run (shell "sudo chown opam /src"))2025-05-15 20:32.47 ---> saved as "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7"/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))(network host)(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>[default] synchronised from git+file:///home/opam/opam-repositoryEverything as up-to-date as possible (run with --verbose to show unavailable upgrades).However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.Nothing to do.# To update the current shell environment, run: eval $(opam env)2025-05-15 20:33.29 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb"/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))2025-05-15 20:33.29 ---> saved as "488e452321e667b2c669dfc12a8ada5a6310bbee470acf388851e055b66a2173"/src: (run (network host)(shell "opam pin add -yn neural_nets_lib.dev './' && \\nopam pin add -yn arrayjit.dev './'"))[neural_nets_lib.dev] synchronised (file:///src)neural_nets_lib is now pinned to file:///src (version dev)[arrayjit.dev] synchronised (file:///src)arrayjit is now pinned to file:///src (version dev)2025-05-15 20:33.33 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f"/src: (run (network host)(shell "echo '(lang dune 3.0)' > './dune-project'"))2025-05-15 20:33.33 ---> saved as "5a4511450e9e99a38c72c663d411bec8074130faebe05d7fce0da8e8c5c58f5f"/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% | 118.4 KiB/s | 28.8 KiB | 00m00s- --------------------------------------------------------------------------------- [1/1] Total 100% | 27.1 KiB/s | 28.8 KiB | 00m01s- Running transaction- [1/3] Verify package files 100% | 111.0 B/s | 1.0 B | 00m00s- [2/3] Prepare transaction 100% | 20.0 B/s | 1.0 B | 00m00s- [3/3] Installing libffi-devel-0:3.4.6-5 100% | 351.4 KiB/s | 34.8 KiB | 00m00s- Complete!+ /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel"- libffi-devel-3.4.6-5.fc42.x86_642025-05-15 20:34.02 ---> saved as "1386309c1462d1dcd62997026eeace65f0e381655874263b8a00df6fbb6f08f5"/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 astring.0.8.5 (cached)-> retrieved angstrom.0.16.1 (cached)-> retrieved backoff.0.1.1 (cached)-> retrieved bigarray-compat.1.1.0 (cached)-> retrieved bigstringaf.0.10.0 (cached)-> retrieved camlp-streams.5.0.1 (cached)-> retrieved base.v0.17.2 (cached)-> retrieved cmdliner.1.3.0 (cached)-> retrieved cppo.1.8.0 (cached)-> installed conf-pkg-config.4-> retrieved csexp.1.5.2 (cached)-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached)-> installed conf-libffi.2.0.0-> retrieved fieldslib.v0.17.0 (cached)-> retrieved fmt.0.10.0 (cached)-> retrieved integers.0.7.0 (cached)-> retrieved jane-street-headers.v0.17.0 (cached)-> retrieved jst-config.v0.17.0 (cached)-> retrieved logs.0.8.0 (cached)-> retrieved mtime.2.1.0 (cached)-> retrieved mdx.2.5.0 (cached)-> retrieved multicore-magic.2.3.1 (cached)-> retrieved num.1.5-1 (cached)-> retrieved ocaml-compiler-libs.v0.17.0 (cached)-> retrieved ocaml-syntax-shims.1.0.0 (cached)-> retrieved ocaml-version.4.0.0 (cached)-> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached)-> retrieved ocamlbuild.0.16.1 (cached)-> retrieved ocamlfind.1.9.8 (cached)-> retrieved parsexp.v0.17.0 (cached)-> retrieved 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_deriving.6.0.3 (cached)-> retrieved ppx_enumerate.v0.17.0 (cached)-> retrieved ppx_fields_conv.v0.17.0 (cached)-> installed cmdliner.1.3.0-> installed num.1.5-1-> retrieved ppx_expect.v0.17.2 (cached)-> retrieved ppx_globalize.v0.17.0 (cached)-> retrieved ppx_hash.v0.17.0 (cached)-> retrieved ppx_here.v0.17.0 (cached)-> retrieved ppx_inline_test.v0.17.0 (cached)-> retrieved ppx_optcomp.v0.17.0 (cached)-> retrieved ppx_sexp_conv.v0.17.0 (cached)-> retrieved ppx_variants_conv.v0.17.0 (cached)-> retrieved ppx_string.v0.17.0 (cached)-> retrieved ppxlib_jane.v0.17.2 (cached)-> retrieved ppx_minidebug.2.2.0 (cached)-> retrieved ptime.1.2.0 (cached)-> retrieved re.1.12.0 (cached)-> retrieved result.1.5 (cached)-> retrieved saturn_lockfree.0.5.0 (cached)-> retrieved seq.base (cached)-> installed seq.base-> retrieved sexplib.v0.17.0 (cached)-> retrieved sexplib0.v0.17.0 (cached)-> retrieved ppxlib.0.35.0 (cached)-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached)-> retrieved stdio.v0.17.0 (cached)-> retrieved stdlib-shims.0.3.0 (cached)-> retrieved thread-local-storage.0.2 (cached)-> retrieved time_now.v0.17.0 (cached)-> retrieved topkg.1.0.8 (cached)-> retrieved uutf.1.0.4 (cached)-> retrieved tyxml.4.6.0 (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 fmt.0.10.0-> installed mtime.2.1.0-> installed astring.0.8.5-> installed ptime.1.2.0-> 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 stdlib-shims.0.3.0-> installed thread-local-storage.0.2-> installed re.1.12.0-> installed cppo.1.8.0-> installed ocaml-compiler-libs.v0.17.0-> installed saturn_lockfree.0.5.0-> installed ocaml-syntax-shims.1.0.0-> installed integers.0.7.0-> 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 fieldslib.v0.17.0-> installed variantslib.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 ppx_optcomp.v0.17.0-> installed ppxlib_jane.v0.17.2-> installed ppx_variants_conv.v0.17.0-> installed ppx_here.v0.17.0-> installed ppx_cold.v0.17.0-> installed ppx_fields_conv.v0.17.0-> installed ppx_globalize.v0.17.0-> installed ppx_enumerate.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.v0.17.2Done.# To update the current shell environment, run: eval $(opam env)2025-05-15 20:37.44 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f"/src: (copy (src .) (dst /src))2025-05-15 20:37.45 ---> saved as "ba5d9b5ae5556ddc7b87a73d359e20a45c271ad2cf17b5b6218d7c9617c8a63e"/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))(cd _build/default/test_ppx && ./test_ppx_op.exe)Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 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_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d23771979b1c08c363df5fa35b07e378/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config fileFile "test/dune", lines 19-41, characters 0-727:19 | (rule20 | (target21 | (dir log_files))....39 | "\\1[0]{=MAYBE UNINITIALIZED} = "40 | "log_files/micrograd_demo_logging-g_gradient_update.log"41 | "log_files/micrograd_demo_logging-g_gradient_update.log"))))(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_routine_files=overwrite)Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config fileRetrieving commandline, environment, or config file variable ocannl_backendFound cc, in the config fileRetrieving commandline, environment, or config file variable ocannl_cd_ident_styleNot found, using default heuristicRetrieving commandline, environment, or config file variable ocannl_ll_ident_styleNot found, using default heuristicRetrieving commandline, environment, or config file variable ocannl_debug_log_to_routine_filesFound overwrite, commandline --ocannl_debug_log_to_routine_files=overwriteRetrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_levelNot found, using default 3Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_commandNot found, using default gccFatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failedRaised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 0, in the config file(cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/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/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config.Retrieving commandline, environment, or config file variable ocannl_log_levelFound 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_levelFound 0, in the config file("Set log_level to" 1)└─{orphaned from #2}Retrieving commandline, environment, or config file variable ocannl_backendFound cc, in the config fileProperties of devices:(multicore_devices(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))@!Retrieving commandline, environment, or config file variable ocannl_debug_log_to_routine_filesNot found, using default noRetrieving commandline, environment, or config file variable ocannl_ll_ident_styleNot found, using default heuristicRetrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_levelNot found, using default 3Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_commandNot found, using default gccRetrieving commandline, environment, or config file variable ocannl_never_capture_stdoutNot found, using default falseBatch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319Batch=539, step=540, lr=0.197750, batch loss=0.690502, epoch loss=40.449821Batch=599, step=600, lr=0.197750, batch loss=1.100005, epoch loss=41.549826Batch=659, step=660, lr=0.197500, batch loss=0.482082, epoch loss=42.031908Batch=719, step=720, lr=0.197250, batch loss=0.410668, epoch loss=42.442575Batch=779, step=780, lr=0.197000, batch loss=0.468841, epoch loss=42.911417Batch=839, step=840, lr=0.196500, batch loss=0.450550, epoch loss=43.361967Batch=899, step=900, lr=0.196250, batch loss=0.383697, epoch loss=43.745664Batch=959, step=960, lr=0.196000, batch loss=0.267105, epoch loss=44.012769Batch=1019, step=1020, lr=0.196000, batch loss=0.488639, epoch loss=44.501408Batch=1079, step=1080, lr=0.195750, batch loss=0.264087, epoch loss=44.765495Batch=1139, step=1140, lr=0.195250, batch loss=0.331723, epoch loss=45.097217Batch=1199, step=1200, lr=0.195000, batch loss=0.264899, epoch loss=45.362116Epoch=0, step=1200, lr=0.195000, epoch loss=45.362116Batch=59, step=1260, lr=0.195000, batch loss=0.263122, epoch loss=0.263122Batch=119, step=1320, lr=0.194750, batch loss=0.203714, epoch loss=0.466836Batch=179, step=1380, lr=0.194500, batch loss=0.247150, epoch loss=0.713986Batch=239, step=1440, lr=0.194250, batch loss=0.350154, epoch loss=1.064140Batch=299, step=1500, lr=0.194000, batch loss=0.238938, epoch loss=1.303079Batch=359, step=1560, lr=0.193750, batch loss=0.317311, epoch loss=1.620389Batch=419, step=1620, lr=0.193500, batch loss=0.313265, epoch loss=1.933654Batch=479, step=1680, lr=0.193000, batch loss=0.276250, epoch loss=2.209904Batch=539, step=1740, lr=0.193000, batch loss=0.210235, epoch loss=2.420140Batch=599, step=1800, lr=0.192750, batch loss=0.245029, epoch loss=2.665168Batch=659, step=1860, lr=0.192500, batch loss=0.358405, epoch loss=3.023573Batch=719, step=1920, lr=0.192250, batch loss=0.354780, epoch loss=3.378354Batch=779, step=1980, lr=0.192000, batch loss=0.377795, epoch loss=3.756148Batch=839, step=2040, lr=0.191750, batch loss=0.341188, epoch loss=4.097336Batch=899, step=2100, lr=0.191500, batch loss=0.295905, epoch loss=4.393241Batch=959, step=2160, lr=0.191250, batch loss=0.215334, epoch loss=4.608575Batch=1019, step=2220, lr=0.191000, batch loss=0.328042, epoch loss=4.936617Batch=1079, step=2280, lr=0.190750, batch loss=0.195768, epoch loss=5.132384Batch=1139, step=2340, lr=0.190500, batch loss=0.256787, epoch loss=5.389171Batch=1199, step=2400, lr=0.190250, batch loss=0.212129, epoch loss=5.601300Epoch=1, step=2400, lr=0.190250, epoch loss=5.601300Batch=59, step=2460, lr=0.190000, batch loss=0.230780, epoch loss=0.230780Batch=119, step=2520, lr=0.189750, batch loss=0.198951, epoch loss=0.429731Batch=179, step=2580, lr=0.189500, batch loss=0.219786, epoch loss=0.649517Batch=239, step=2640, lr=0.189250, batch loss=0.328451, epoch loss=0.977968Batch=299, step=2700, lr=0.189000, batch loss=0.206597, epoch loss=1.184565Batch=359, step=2760, lr=0.188750, batch loss=0.291654, epoch loss=1.476219Batch=419, step=2820, lr=0.188500, batch loss=0.282498, epoch loss=1.758717Batch=479, step=2880, lr=0.188250, batch loss=0.259178, epoch loss=2.017894Batch=539, step=2940, lr=0.188000, batch loss=0.198111, epoch loss=2.216005Batch=599, step=3000, lr=0.187750, batch loss=0.243549, epoch loss=2.459555Batch=659, step=3060, lr=0.187500, batch loss=0.350424, epoch loss=2.809979Batch=719, step=3120, lr=0.187250, batch loss=0.347558, epoch loss=3.157537Batch=779, step=3180, lr=0.187000, batch loss=0.365657, epoch loss=3.523195Batch=839, step=3240, lr=0.186750, batch loss=0.324429, epoch loss=3.847623Batch=899, step=3300, lr=0.186500, batch loss=0.290901, epoch loss=4.138524Batch=959, step=3360, lr=0.186250, batch loss=0.235434, epoch loss=4.373957Batch=1019, step=3420, lr=0.186000, batch loss=0.367537, epoch loss=4.741495Batch=1079, step=3480, lr=0.185750, batch loss=0.231944, epoch loss=4.973439Batch=1139, step=3540, lr=0.185500, batch loss=0.264163, epoch loss=5.237602Batch=1199, step=3600, lr=0.185250, batch loss=0.201681, epoch loss=5.439283Epoch=2, step=3600, lr=0.185250, epoch loss=5.439283Batch=59, step=3660, lr=0.185000, batch loss=0.222708, epoch loss=0.222708Batch=119, step=3720, lr=0.184750, batch loss=0.185818, epoch loss=0.408526Batch=179, step=3780, lr=0.184500, batch loss=0.212485, epoch loss=0.621011Batch=239, step=3840, lr=0.184250, batch loss=0.316678, epoch loss=0.937689Batch=299, step=3900, lr=0.184000, batch loss=0.206075, epoch loss=1.143764Batch=359, step=3960, lr=0.183750, batch loss=0.288141, epoch loss=1.431905Batch=419, step=4020, lr=0.183500, batch loss=0.280347, epoch loss=1.712252Batch=479, step=4080, lr=0.183250, batch loss=0.254896, epoch loss=1.967147Batch=539, step=4140, lr=0.183000, batch loss=0.194799, epoch loss=2.161947Batch=599, step=4200, lr=0.182750, batch loss=0.231397, epoch loss=2.393344Batch=659, step=4260, lr=0.182500, batch loss=0.338103, epoch loss=2.731447Batch=719, step=4320, lr=0.182250, batch loss=0.349267, epoch loss=3.080714Batch=779, step=4380, lr=0.182000, batch loss=0.348388, epoch loss=3.429102Batch=839, step=4440, lr=0.181750, batch loss=0.319078, epoch loss=3.748180Batch=899, step=4500, lr=0.181500, batch loss=0.294454, epoch loss=4.042634Batch=959, step=4560, lr=0.181250, batch loss=0.241659, epoch loss=4.284293Batch=1019, step=4620, lr=0.181000, batch loss=0.345248, epoch loss=4.629541Batch=1079, step=4680, lr=0.180500, batch loss=0.217037, epoch loss=4.846578Batch=1139, step=4740, lr=0.180500, batch loss=0.250004, epoch loss=5.096582Batch=1199, step=4800, lr=0.180250, batch loss=0.191853, epoch loss=5.288435Epoch=3, step=4800, lr=0.180250, epoch loss=5.288435Batch=59, step=4860, lr=0.180000, batch loss=0.227874, epoch loss=0.227874Batch=119, step=4920, lr=0.179750, batch loss=0.190603, epoch loss=0.418477Batch=179, step=4980, lr=0.179500, batch loss=0.207864, epoch loss=0.626341Batch=239, step=5040, lr=0.179250, batch loss=0.308387, epoch loss=0.934728Batch=299, step=5100, lr=0.179000, batch loss=0.201682, epoch loss=1.136410Batch=359, step=5160, lr=0.178750, batch loss=0.274867, epoch loss=1.411277Batch=419, step=5220, lr=0.178500, batch loss=0.265733, epoch loss=1.677010Batch=479, step=5280, lr=0.178250, batch loss=0.240265, epoch loss=1.917275Batch=539, step=5340, lr=0.178000, batch loss=0.191718, epoch loss=2.108993Batch=599, step=5400, lr=0.177750, batch loss=0.229586, epoch loss=2.338578Batch=659, step=5460, lr=0.177500, batch loss=0.327917, epoch loss=2.666495Batch=719, step=5520, lr=0.177250, batch loss=0.334005, epoch loss=3.000500Batch=779, step=5580, lr=0.177000, batch loss=0.344363, epoch loss=3.344863Batch=839, step=5640, lr=0.176750, batch loss=0.310068, epoch loss=3.654931Batch=899, step=5700, lr=0.176500, batch loss=0.273853, epoch loss=3.928784Batch=959, step=5760, lr=0.176250, batch loss=0.213622, epoch loss=4.142406Batch=1019, step=5820, lr=0.176000, batch loss=0.339243, epoch loss=4.481649Batch=1079, step=5880, lr=0.175750, batch loss=0.204749, epoch loss=4.686399Batch=1139, step=5940, lr=0.175500, batch loss=0.240110, epoch loss=4.926508Batch=1199, step=6000, lr=0.175250, batch loss=0.187620, epoch loss=5.114129Epoch=4, step=6000, lr=0.175250, epoch loss=5.114129Batch=59, step=6060, lr=0.175000, batch loss=0.230311, epoch loss=0.230311Batch=119, step=6120, lr=0.174750, batch loss=0.187870, epoch loss=0.418181Batch=179, step=6180, lr=0.174500, batch loss=0.202806, epoch loss=0.620987Batch=239, step=6240, lr=0.174000, batch loss=0.300006, epoch loss=0.920993Batch=299, step=6300, lr=0.174000, batch loss=0.200965, epoch loss=1.121957Batch=359, step=6360, lr=0.173750, batch loss=0.264012, epoch loss=1.385969Batch=419, step=6420, lr=0.173500, batch loss=0.258982, epoch loss=1.644951Batch=479, step=6480, lr=0.173250, batch loss=0.234671, epoch loss=1.879622Batch=539, step=6540, lr=0.173000, batch loss=0.186707, epoch loss=2.066329Batch=599, step=6600, lr=0.172750, batch loss=0.230390, epoch loss=2.296719Batch=659, step=6660, lr=0.172250, batch loss=0.315534, epoch loss=2.612253Batch=719, step=6720, lr=0.172250, batch loss=0.314995, epoch loss=2.927248Batch=779, step=6780, lr=0.172000, batch loss=0.331991, epoch loss=3.259239Batch=839, step=6840, lr=0.171500, batch loss=0.304464, epoch loss=3.563703Batch=899, step=6900, lr=0.171250, batch loss=0.266262, epoch loss=3.829965Batch=959, step=6960, lr=0.171000, batch loss=0.212923, epoch loss=4.042888Batch=1019, step=7020, lr=0.170750, batch loss=0.327726, epoch loss=4.370614Batch=1079, step=7080, lr=0.170500, batch loss=0.184418, epoch loss=4.555032Batch=1139, step=7140, lr=0.170250, batch loss=0.215872, epoch loss=4.770904Batch=1199, step=7200, lr=0.170250, batch loss=0.181865, epoch loss=4.952769Epoch=5, step=7200, lr=0.170250, epoch loss=4.952769Batch=59, step=7260, lr=0.169750, batch loss=0.236766, epoch loss=0.236766Batch=119, step=7320, lr=0.169500, batch loss=0.182464, epoch loss=0.419229Batch=179, step=7380, lr=0.169500, batch loss=0.195618, epoch loss=0.614848Batch=239, step=7440, lr=0.169000, batch loss=0.292811, epoch loss=0.907659Batch=299, step=7500, lr=0.169000, batch loss=0.207326, epoch loss=1.114985Batch=359, step=7560, lr=0.168500, batch loss=0.262379, epoch loss=1.377364Batch=419, step=7620, lr=0.168500, batch loss=0.255331, epoch loss=1.632694Batch=479, step=7680, lr=0.168000, batch loss=0.239949, epoch loss=1.872644Batch=539, step=7740, lr=0.168000, batch loss=0.185338, epoch loss=2.057982Batch=599, step=7800, lr=0.167750, batch loss=0.226059, epoch loss=2.284041Batch=659, step=7860, lr=0.167250, batch loss=0.304859, epoch loss=2.588899Batch=719, step=7920, lr=0.167250, batch loss=0.310367, epoch loss=2.899266Batch=779, step=7980, lr=0.166750, batch loss=0.330246, epoch loss=3.229512Batch=839, step=8040, lr=0.166500, batch loss=0.291754, epoch loss=3.521266Batch=899, step=8100, lr=0.166250, batch loss=0.258844, epoch loss=3.780110Batch=959, step=8160, lr=0.166000, batch loss=0.203888, epoch loss=3.983998Batch=1019, step=8220, lr=0.165750, batch loss=0.321377, epoch loss=4.305376Batch=1079, step=8280, lr=0.165750, batch loss=0.180275, epoch loss=4.485651Batch=1139, step=8340, lr=0.165500, batch loss=0.211857, epoch loss=4.697507Batch=1199, step=8400, lr=0.165250, batch loss=0.179430, epoch loss=4.876938Epoch=6, step=8400, lr=0.165250, epoch loss=4.876938Batch=59, step=8460, lr=0.165000, batch loss=0.225987, epoch loss=0.225987Batch=119, step=8520, lr=0.164750, batch loss=0.177923, epoch loss=0.403909Batch=179, step=8580, lr=0.164250, batch loss=0.189004, epoch loss=0.592913Batch=239, step=8640, lr=0.164000, batch loss=0.280300, epoch loss=0.873214Batch=299, step=8700, lr=0.163750, batch loss=0.192255, epoch loss=1.065469Batch=359, step=8760, lr=0.163500, batch loss=0.248501, epoch loss=1.313970Batch=419, step=8820, lr=0.163250, batch loss=0.245886, epoch loss=1.559856Batch=479, step=8880, lr=0.163250, batch loss=0.227513, epoch loss=1.787369Batch=539, step=8940, lr=0.163000, batch loss=0.180875, epoch loss=1.968243Batch=599, step=9000, lr=0.162750, batch loss=0.216359, epoch loss=2.184602Batch=659, step=9060, lr=0.162250, batch loss=0.295070, epoch loss=2.479673Batch=719, step=9120, lr=0.162000, batch loss=0.295437, epoch loss=2.775109Batch=779, step=9180, lr=0.161750, batch loss=0.316708, epoch loss=3.091818Batch=839, step=9240, lr=0.161500, batch loss=0.285238, epoch loss=3.377056Batch=899, step=9300, lr=0.161250, batch loss=0.253650, epoch loss=3.630706Batch=959, step=9360, lr=0.161000, batch loss=0.212845, epoch loss=3.843551Batch=1019, step=9420, lr=0.160750, batch loss=0.298521, epoch loss=4.142072Batch=1079, step=9480, lr=0.160750, batch loss=0.178207, epoch loss=4.320279Batch=1139, step=9540, lr=0.160250, batch loss=0.204339, epoch loss=4.524617Batch=1199, step=9600, lr=0.160000, batch loss=0.164609, epoch loss=4.689226Epoch=7, step=9600, lr=0.160000, epoch loss=4.689226Batch=59, step=9660, lr=0.159750, batch loss=0.197586, epoch loss=0.197586Batch=119, step=9720, lr=0.159750, batch loss=0.166136, epoch loss=0.363723Batch=179, step=9780, lr=0.159250, batch loss=0.179488, epoch loss=0.543210Batch=239, step=9840, lr=0.159250, batch loss=0.261808, epoch loss=0.805018Batch=299, step=9900, lr=0.159000, batch loss=0.187190, epoch loss=0.992208Batch=359, step=9960, lr=0.158750, batch loss=0.241939, epoch loss=1.234148Batch=419, step=10020, lr=0.158250, batch loss=0.231755, epoch loss=1.465902Batch=479, step=10080, lr=0.158000, batch loss=0.215203, epoch loss=1.681105Batch=539, step=10140, lr=0.157750, batch loss=0.169273, epoch loss=1.850378Batch=599, step=10200, lr=0.157750, batch loss=0.203261, epoch loss=2.053640Batch=659, step=10260, lr=0.157250, batch loss=0.281758, epoch loss=2.335398Batch=719, step=10320, lr=0.157250, batch loss=0.278990, epoch loss=2.614388Batch=779, step=10380, lr=0.157000, batch loss=0.300843, epoch loss=2.915231Batch=839, step=10440, lr=0.156750, batch loss=0.270482, epoch loss=3.185714Batch=899, step=10500, lr=0.156500, batch loss=0.239987, epoch loss=3.425701Batch=959, step=10560, lr=0.156250, batch loss=0.198745, epoch loss=3.624446Batch=1019, step=10620, lr=0.156000, batch loss=0.278102, epoch loss=3.902547Batch=1079, step=10680, lr=0.155750, batch loss=0.152744, epoch loss=4.055292Batch=1139, step=10740, lr=0.155250, batch loss=0.182221, epoch loss=4.237513Batch=1199, step=10800, lr=0.155250, batch loss=0.155588, epoch loss=4.393101Epoch=8, step=10800, lr=0.155250, epoch loss=4.393101Batch=59, step=10860, lr=0.154750, batch loss=0.202595, epoch loss=0.202595Batch=119, step=10920, lr=0.154750, batch loss=0.157667, epoch loss=0.360262Batch=179, step=10980, lr=0.154500, batch loss=0.166129, epoch loss=0.526391Batch=239, step=11040, lr=0.154000, batch loss=0.244938, epoch loss=0.771329Batch=299, step=11100, lr=0.153750, batch loss=0.161010, epoch loss=0.932339Batch=359, step=11160, lr=0.153500, batch loss=0.228379, epoch loss=1.160718Batch=419, step=11220, lr=0.153250, batch loss=0.233437, epoch loss=1.394155Batch=479, step=11280, lr=0.153000, batch loss=0.198864, epoch loss=1.593019Batch=539, step=11340, lr=0.152750, batch loss=0.162804, epoch loss=1.755823Batch=599, step=11400, lr=0.152750, batch loss=0.183452, epoch loss=1.939275Batch=659, step=11460, lr=0.152250, batch loss=0.262389, epoch loss=2.201664Batch=719, step=11520, lr=0.152250, batch loss=0.255550, epoch loss=2.457214Batch=779, step=11580, lr=0.152000, batch loss=0.270450, epoch loss=2.727664Batch=839, step=11640, lr=0.151750, batch loss=0.256494, epoch loss=2.984158Batch=899, step=11700, lr=0.151250, batch loss=0.216365, epoch loss=3.200523Batch=959, step=11760, lr=0.151000, batch loss=0.174407, epoch loss=3.374930Batch=1019, step=11820, lr=0.150750, batch loss=0.259553, epoch loss=3.634483Batch=1079, step=11880, lr=0.150750, batch loss=0.148103, epoch loss=3.782585Batch=1139, step=11940, lr=0.150500, batch loss=0.188187, epoch loss=3.970773Batch=1199, step=12000, lr=0.150000, batch loss=0.138641, epoch loss=4.109414Epoch=9, step=12000, lr=0.150000, epoch loss=4.109414Batch=59, step=12060, lr=0.149750, batch loss=0.158087, epoch loss=0.158087Batch=119, step=12120, lr=0.149500, batch loss=0.127420, epoch loss=0.285507Batch=179, step=12180, lr=0.149500, batch loss=0.151780, epoch loss=0.437286Batch=239, step=12240, lr=0.149250, batch loss=0.218953, epoch loss=0.656240Batch=299, step=12300, lr=0.149000, batch loss=0.138553, epoch loss=0.794793Batch=359, step=12360, lr=0.148750, batch loss=0.198328, epoch loss=0.993121Batch=419, step=12420, lr=0.148500, batch loss=0.210664, epoch loss=1.203785Batch=479, step=12480, lr=0.148250, batch loss=0.174508, epoch loss=1.378293Batch=539, step=12540, lr=0.148000, batch loss=0.143291, epoch loss=1.521583Batch=599, step=12600, lr=0.147750, batch loss=0.149638, epoch loss=1.671222Batch=659, step=12660, lr=0.147500, batch loss=0.224987, epoch loss=1.896209Batch=719, step=12720, lr=0.147250, batch loss=0.229668, epoch loss=2.125876Batch=779, step=12780, lr=0.146750, batch loss=0.257897, epoch loss=2.383773Batch=839, step=12840, lr=0.146500, batch loss=0.238060, epoch loss=2.621832Batch=899, step=12900, lr=0.146500, batch loss=0.239616, epoch loss=2.861448Batch=959, step=12960, lr=0.146000, batch loss=0.132113, epoch loss=2.993562Batch=1019, step=13020, lr=0.145750, batch loss=0.208079, epoch loss=3.201640Batch=1079, step=13080, lr=0.145500, batch loss=0.120681, epoch loss=3.322321Batch=1139, step=13140, lr=0.145250, batch loss=0.156081, epoch loss=3.478402Batch=1199, step=13200, lr=0.145000, batch loss=0.116005, epoch loss=3.594407Epoch=10, step=13200, lr=0.145000, epoch loss=3.594407Batch=59, step=13260, lr=0.145000, batch loss=0.138006, epoch loss=0.138006Batch=119, step=13320, lr=0.144750, batch loss=0.123834, epoch loss=0.261840Batch=179, step=13380, lr=0.144500, batch loss=0.128440, epoch loss=0.390281Batch=239, step=13440, lr=0.144250, batch loss=0.190909, epoch loss=0.581189Batch=299, step=13500, lr=0.144000, batch loss=0.118749, epoch loss=0.699938Batch=359, step=13560, lr=0.143500, batch loss=0.161428, epoch loss=0.861367Batch=419, step=13620, lr=0.143250, batch loss=0.158073, epoch loss=1.019440Batch=479, step=13680, lr=0.143000, batch loss=0.149480, epoch loss=1.168919Batch=539, step=13740, lr=0.143000, batch loss=0.116005, epoch loss=1.284925Batch=599, step=13800, lr=0.142750, batch loss=0.120390, epoch loss=1.405315Batch=659, step=13860, lr=0.142500, batch loss=0.178994, epoch loss=1.584310Batch=719, step=13920, lr=0.142250, batch loss=0.194845, epoch loss=1.779155Batch=779, step=13980, lr=0.142000, batch loss=0.223439, epoch loss=2.002594Batch=839, step=14040, lr=0.141750, batch loss=0.206127, epoch loss=2.208721Batch=899, step=14100, lr=0.141250, batch loss=0.221357, epoch loss=2.430077Batch=959, step=14160, lr=0.141250, batch loss=0.099077, epoch loss=2.529155Batch=1019, step=14220, lr=0.141000, batch loss=0.201814, epoch loss=2.730969Batch=1079, step=14280, lr=0.140750, batch loss=0.075220, epoch loss=2.806189Batch=1139, step=14340, lr=0.140500, batch loss=0.116157, epoch loss=2.922345Batch=1199, step=14400, lr=0.140250, batch loss=0.084677, epoch loss=3.007023Epoch=11, step=14400, lr=0.140250, epoch loss=3.007023Batch=59, step=14460, lr=0.140000, batch loss=0.107582, epoch loss=0.107582Batch=119, step=14520, lr=0.139750, batch loss=0.105310, epoch loss=0.212891Batch=179, step=14580, lr=0.139500, batch loss=0.100177, epoch loss=0.313069Batch=239, step=14640, lr=0.139250, batch loss=0.140524, epoch loss=0.453593Batch=299, step=14700, lr=0.139000, batch loss=0.076241, epoch loss=0.529833Batch=359, step=14760, lr=0.138750, batch loss=0.119159, epoch loss=0.648992Batch=419, step=14820, lr=0.138500, batch loss=0.127951, epoch loss=0.776943Batch=479, step=14880, lr=0.138250, batch loss=0.103692, epoch loss=0.880634Batch=539, step=14940, lr=0.138000, batch loss=0.119120, epoch loss=0.999754Batch=599, step=15000, lr=0.137750, batch loss=0.083834, epoch loss=1.083589Batch=659, step=15060, lr=0.137500, batch loss=0.127698, epoch loss=1.211286Batch=719, step=15120, lr=0.137250, batch loss=0.129623, epoch loss=1.340909Batch=779, step=15180, lr=0.137000, batch loss=0.155148, epoch loss=1.496057Batch=839, step=15240, lr=0.136750, batch loss=0.170033, epoch loss=1.666091Batch=899, step=15300, lr=0.136500, batch loss=0.277892, epoch loss=1.943982Batch=959, step=15360, lr=0.136250, batch loss=0.060223, epoch loss=2.004206Batch=1019, step=15420, lr=0.136000, batch loss=0.136005, epoch loss=2.140211Batch=1079, step=15480, lr=0.135750, batch loss=0.044867, epoch loss=2.185078Batch=1139, step=15540, lr=0.135500, batch loss=0.100424, epoch loss=2.285501Batch=1199, step=15600, lr=0.135250, batch loss=0.058597, epoch loss=2.344099Epoch=12, step=15600, lr=0.135250, epoch loss=2.344099Batch=59, step=15660, lr=0.135000, batch loss=0.075770, epoch loss=0.075770Batch=119, step=15720, lr=0.134750, batch loss=0.104930, epoch loss=0.180700Batch=179, step=15780, lr=0.134500, batch loss=0.089389, epoch loss=0.270089Batch=239, step=15840, lr=0.134250, batch loss=0.091398, epoch loss=0.361487Batch=299, step=15900, lr=0.134000, batch loss=0.040310, epoch loss=0.401796Batch=359, step=15960, lr=0.133750, batch loss=0.079655, epoch loss=0.481451Batch=419, step=16020, lr=0.133250, batch loss=0.080954, epoch loss=0.562405Batch=479, step=16080, lr=0.133250, batch loss=0.070119, epoch loss=0.632524Batch=539, step=16140, lr=0.133000, batch loss=0.051092, epoch loss=0.683616Batch=599, step=16200, lr=0.132750, batch loss=0.100138, epoch loss=0.783754Batch=659, step=16260, lr=0.132500, batch loss=0.074580, epoch loss=0.858334Batch=719, step=16320, lr=0.132250, batch loss=0.087478, epoch loss=0.945812Batch=779, step=16380, lr=0.131750, batch loss=0.138418, epoch loss=1.084230Batch=839, step=16440, lr=0.131750, batch loss=0.124342, epoch loss=1.208572Batch=899, step=16500, lr=0.131500, batch loss=0.149691, epoch loss=1.358263Batch=959, step=16560, lr=0.131250, batch loss=0.032592, epoch loss=1.390855Batch=1019, step=16620, lr=0.131000, batch loss=0.074349, epoch loss=1.465204Batch=1079, step=16680, lr=0.130750, batch loss=0.042995, epoch loss=1.508198Batch=1139, step=16740, lr=0.130500, batch loss=0.077874, epoch loss=1.586073Batch=1199, step=16800, lr=0.130250, batch loss=0.034831, epoch loss=1.620904Epoch=13, step=16800, lr=0.130250, epoch loss=1.620904Batch=59, step=16860, lr=0.130000, batch loss=0.034625, epoch loss=0.034625Batch=119, step=16920, lr=0.129750, batch loss=0.035757, epoch loss=0.070382Batch=179, step=16980, lr=0.129500, batch loss=0.041875, epoch loss=0.112257Batch=239, step=17040, lr=0.129250, batch loss=0.055166, epoch loss=0.167424Batch=299, step=17100, lr=0.129000, batch loss=0.019522, epoch loss=0.186945Batch=359, step=17160, lr=0.128750, batch loss=0.045137, epoch loss=0.232082Batch=419, step=17220, lr=0.128500, batch loss=0.092517, epoch loss=0.324599Batch=479, step=17280, lr=0.128250, batch loss=0.024306, epoch loss=0.348905Batch=539, step=17340, lr=0.128000, batch loss=0.027322, epoch loss=0.376226Batch=599, step=17400, lr=0.127750, batch loss=0.034310, epoch loss=0.410536Batch=659, step=17460, lr=0.127500, batch loss=0.045154, epoch loss=0.455690Batch=719, step=17520, lr=0.127250, batch loss=0.037582, epoch loss=0.493272Batch=779, step=17580, lr=0.127000, batch loss=0.039435, epoch loss=0.532706Batch=839, step=17640, lr=0.126750, batch loss=0.052684, epoch loss=0.585390Batch=899, step=17700, lr=0.126500, batch loss=0.055329, epoch loss=0.640719Batch=959, step=17760, lr=0.126250, batch loss=0.044340, epoch loss=0.685059Batch=1019, step=17820, lr=0.126000, batch loss=0.115032, epoch loss=0.800091Batch=1079, step=17880, lr=0.125750, batch loss=0.034535, epoch loss=0.834626Batch=1139, step=17940, lr=0.125500, batch loss=0.072486, epoch loss=0.907112Batch=1199, step=18000, lr=0.125250, batch loss=0.026627, epoch loss=0.933739Epoch=14, step=18000, lr=0.125250, epoch loss=0.933739Batch=59, step=18060, lr=0.125000, batch loss=0.015217, epoch loss=0.015217Batch=119, step=18120, lr=0.124750, batch loss=0.027021, epoch loss=0.042238Batch=179, step=18180, lr=0.124500, batch loss=0.060809, epoch loss=0.103047Batch=239, step=18240, lr=0.124250, batch loss=0.035398, epoch loss=0.138445Batch=299, step=18300, lr=0.124000, batch loss=0.010538, epoch loss=0.148983Batch=359, step=18360, lr=0.123750, batch loss=0.026298, epoch loss=0.175281Batch=419, step=18420, lr=0.123500, batch loss=0.028202, epoch loss=0.203483Batch=479, step=18480, lr=0.123250, batch loss=0.010584, epoch loss=0.214068Batch=539, step=18540, lr=0.123000, batch loss=0.019719, epoch loss=0.233787Batch=599, step=18600, lr=0.122750, batch loss=0.025841, epoch loss=0.259627Batch=659, step=18660, lr=0.122500, batch loss=0.024242, epoch loss=0.283869Batch=719, step=18720, lr=0.122250, batch loss=0.041687, epoch loss=0.325556Batch=779, step=18780, lr=0.122000, batch loss=0.096545, epoch loss=0.422101Batch=839, step=18840, lr=0.121750, batch loss=0.078462, epoch loss=0.500563Batch=899, step=18900, lr=0.121250, batch loss=0.097098, epoch loss=0.597661Batch=959, step=18960, lr=0.121250, batch loss=0.015503, epoch loss=0.613164Batch=1019, step=19020, lr=0.120750, batch loss=0.025450, epoch loss=0.638613Batch=1079, step=19080, lr=0.120750, batch loss=0.004546, epoch loss=0.643160Batch=1139, step=19140, lr=0.120500, batch loss=0.024914, epoch loss=0.668074Batch=1199, step=19200, lr=0.120250, batch loss=0.011645, epoch loss=0.679719Epoch=15, step=19200, lr=0.120250, epoch loss=0.679719Batch=59, step=19260, lr=0.120000, batch loss=0.005370, epoch loss=0.005370Batch=119, step=19320, lr=0.119750, batch loss=0.015013, epoch loss=0.020383Batch=179, step=19380, lr=0.119500, batch loss=0.031327, epoch loss=0.051710Batch=239, step=19440, lr=0.119250, batch loss=0.022744, epoch loss=0.074454Batch=299, step=19500, lr=0.119000, batch loss=0.006603, epoch loss=0.081056Batch=359, step=19560, lr=0.118750, batch loss=0.016376, epoch loss=0.097433Batch=419, step=19620, lr=0.118500, batch loss=0.019556, epoch loss=0.116988Batch=479, step=19680, lr=0.118250, batch loss=0.007961, epoch loss=0.124950Batch=539, step=19740, lr=0.118000, batch loss=0.015911, epoch loss=0.140861Batch=599, step=19800, lr=0.117750, batch loss=0.021077, epoch loss=0.161938Batch=659, step=19860, lr=0.117500, batch loss=0.018753, epoch loss=0.180691Batch=719, step=19920, lr=0.117250, batch loss=0.034601, epoch loss=0.215293Batch=779, step=19980, lr=0.117000, batch loss=0.080330, epoch loss=0.295623Batch=839, step=20040, lr=0.116750, batch loss=0.030818, epoch loss=0.326441Batch=899, step=20100, lr=0.116500, batch loss=0.033289, epoch loss=0.359730Batch=959, step=20160, lr=0.116250, batch loss=0.011909, epoch loss=0.371639Batch=1019, step=20220, lr=0.116000, batch loss=0.016250, epoch loss=0.387889Batch=1079, step=20280, lr=0.115750, batch loss=0.001129, epoch loss=0.389018Batch=1139, step=20340, lr=0.115500, batch loss=0.015322, epoch loss=0.404341Batch=1199, step=20400, lr=0.115250, batch loss=0.005715, epoch loss=0.410056Epoch=16, step=20400, lr=0.115250, epoch loss=0.410056Batch=59, step=20460, lr=0.115000, batch loss=0.002802, epoch loss=0.002802Batch=119, step=20520, lr=0.114750, batch loss=0.009055, epoch loss=0.011857Batch=179, step=20580, lr=0.114500, batch loss=0.019552, epoch loss=0.031409Batch=239, step=20640, lr=0.114250, batch loss=0.020569, epoch loss=0.051978Batch=299, step=20700, lr=0.114000, batch loss=0.009795, epoch loss=0.061773Batch=359, step=20760, lr=0.113750, batch loss=0.014167, epoch loss=0.075941Batch=419, step=20820, lr=0.113500, batch loss=0.014867, epoch loss=0.090807Batch=479, step=20880, lr=0.113250, batch loss=0.002885, epoch loss=0.093693Batch=539, step=20940, lr=0.113000, batch loss=0.017362, epoch loss=0.111055Batch=599, step=21000, lr=0.112750, batch loss=0.019502, epoch loss=0.130557Batch=659, step=21060, lr=0.112500, batch loss=0.015266, epoch loss=0.145823Batch=719, step=21120, lr=0.112250, batch loss=0.040202, epoch loss=0.186025Batch=779, step=21180, lr=0.112000, batch loss=0.073524, epoch loss=0.259549Batch=839, step=21240, lr=0.111750, batch loss=0.026137, epoch loss=0.285686Batch=899, step=21300, lr=0.111500, batch loss=0.034783, epoch loss=0.320469Batch=959, step=21360, lr=0.111250, batch loss=0.009547, epoch loss=0.330016Batch=1019, step=21420, lr=0.111000, batch loss=0.010914, epoch loss=0.340930Batch=1079, step=21480, lr=0.110750, batch loss=0.000925, epoch loss=0.341855Batch=1139, step=21540, lr=0.110500, batch loss=0.012510, epoch loss=0.354365Batch=1199, step=21600, lr=0.110250, batch loss=0.005058, epoch loss=0.359423Epoch=17, step=21600, lr=0.110250, epoch loss=0.359423Batch=59, step=21660, lr=0.109750, batch loss=0.001850, epoch loss=0.001850Batch=119, step=21720, lr=0.109750, batch loss=0.006369, epoch loss=0.008219Batch=179, step=21780, lr=0.109500, batch loss=0.012618, epoch loss=0.020837Batch=239, step=21840, lr=0.109250, batch loss=0.011823, epoch loss=0.032659Batch=299, step=21900, lr=0.109000, batch loss=0.002408, epoch loss=0.035067Batch=359, step=21960, lr=0.108750, batch loss=0.010657, epoch loss=0.045725Batch=419, step=22020, lr=0.108500, batch loss=0.011055, epoch loss=0.056779Batch=479, step=22080, lr=0.108000, batch loss=0.002651, epoch loss=0.059430Batch=539, step=22140, lr=0.108000, batch loss=0.019184, epoch loss=0.078614Batch=599, step=22200, lr=0.107750, batch loss=0.016159, epoch loss=0.094773Batch=659, step=22260, lr=0.107500, batch loss=0.015711, epoch loss=0.110483Batch=719, step=22320, lr=0.107250, batch loss=0.024010, epoch loss=0.134493Batch=779, step=22380, lr=0.107000, batch loss=0.036597, epoch loss=0.171090Batch=839, step=22440, lr=0.106750, batch loss=0.025205, epoch loss=0.196295Batch=899, step=22500, lr=0.106500, batch loss=0.027589, epoch loss=0.223884Batch=959, step=22560, lr=0.106250, batch loss=0.008987, epoch loss=0.232871Batch=1019, step=22620, lr=0.106000, batch loss=0.010089, epoch loss=0.242960Batch=1079, step=22680, lr=0.105500, batch loss=0.000701, epoch loss=0.243661Batch=1139, step=22740, lr=0.105500, batch loss=0.010085, epoch loss=0.253746Batch=1199, step=22800, lr=0.105250, batch loss=0.004485, epoch loss=0.258231Epoch=18, step=22800, lr=0.105250, epoch loss=0.258231Batch=59, step=22860, lr=0.105000, batch loss=0.001345, epoch loss=0.001345Batch=119, step=22920, lr=0.104750, batch loss=0.005471, epoch loss=0.006816Batch=179, step=22980, lr=0.104500, batch loss=0.010285, epoch loss=0.017101Batch=239, step=23040, lr=0.104000, batch loss=0.008825, epoch loss=0.025926Batch=299, step=23100, lr=0.104000, batch loss=0.001888, epoch loss=0.027814Batch=359, step=23160, lr=0.103500, batch loss=0.010701, epoch loss=0.038515Batch=419, step=23220, lr=0.103500, batch loss=0.010023, epoch loss=0.048538Batch=479, step=23280, lr=0.103250, batch loss=0.002442, epoch loss=0.050980Batch=539, step=23340, lr=0.103000, batch loss=0.017291, epoch loss=0.068271Batch=599, step=23400, lr=0.102750, batch loss=0.013523, epoch loss=0.081794Batch=659, step=23460, lr=0.102500, batch loss=0.011640, epoch loss=0.093435Batch=719, step=23520, lr=0.102250, batch loss=0.011199, epoch loss=0.104633Batch=779, step=23580, lr=0.102000, batch loss=0.019380, epoch loss=0.124014Batch=839, step=23640, lr=0.101750, batch loss=0.027153, epoch loss=0.151166Batch=899, step=23700, lr=0.101500, batch loss=0.020539, epoch loss=0.171706Batch=959, step=23760, lr=0.101250, batch loss=0.007792, epoch loss=0.179497Batch=1019, step=23820, lr=0.101000, batch loss=0.006916, epoch loss=0.186413Batch=1079, step=23880, lr=0.100750, batch loss=0.001223, epoch loss=0.187636Batch=1139, step=23940, lr=0.100500, batch loss=0.008162, epoch loss=0.195798Batch=1199, step=24000, lr=0.100250, batch loss=0.004027, epoch loss=0.199825Epoch=19, step=24000, lr=0.100250, epoch loss=0.199825Half-moons scatterplot and decision boundary:┌────────────────────────────────────────────────────────────────────────────────────────────────────┐│********************************#*******************************************************************││**********************#*#*#######*###*#####*********************************************************││**********************#########################*****************************************************││*****************#**########*######*###########*###*************************************************││***************#################*###################************************************************││************######*#################*#################**********************************************││**********#*#####*########*#**************##*#########*#********************************************││***********########*##*#******************#*****##########******************************************││***********###########*************************############****************************************.││********######*####*********************************###*###*#***********************************....││*******######**##*************....*****************#*######*#********************************.......││*******##*##**##**********...........***************########*##****************************.........││*****#######************.......%...%%...***************#########**************************........%.││******######***********.........%........***************##*#####*************************.....%.%.%.││***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.││****#######**********..........%%%%.........************#########*********************.......%%.%%.%││**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.││*##*####************...........%%%%%%%.........***********########******************.........%%%%%%.││*#######************...........%%%%%%%..........************#######***************...........%%%%%%.││*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.││*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..││#######***********.............%.%%%%%%.............*********#######***********............%%%%.%%..││#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.││###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...││#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....││######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...││*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....││#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....││**************.....................%.%%%%%%...................********.................%.%%.%%......││**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......││*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......││*************...........................%..%%%%..%................................%%%%%%%%..........││************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........││***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........││***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............││**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............││**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................││*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................││*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................││********................................................%...%%%%.%%.%%%%..%.........................│└────────────────────────────────────────────────────────────────────────────────────────────────────┘"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 12025-05-15 20:39.20: Job failed: Failed: Build failed