2025-05-21 11:54.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (b6f271d6237f52725d0809538885b09a54c19329) (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 b6f271d6 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 11:54.54: 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 11:54.54: 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 11:54.54: Waiting for resource in pool OCluster 2025-05-21 11:54.54: Waiting for worker… 2025-05-21 11:54.56: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at b6f271d6 Merge branch 'master' of https://github.com/ahrefs/ocannl (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-21 11:54.59 ---> 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 11:54.59 ---> using "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:54.59 ---> 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 11:54.59 ---> 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 11:54.59 ---> using "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:54.59 ---> 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 11:54.59 ---> using "6d19d3996dbde981768da10e312cc45f7f699c4b087bc629901db816fcce6f43" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:54.59 ---> 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 11:54.59 ---> using "b281501d70eec1b964fe055165109ef9bdfa962b0733065c5a726c9ebfcb95e7" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:54.59 ---> 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 11:54.59 ---> 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 11:54.59 ---> using "988ec11528caf4023f4cf8802ee33a6877da77cf607131ad018b314d3f377508" from cache /src: (copy (src .) (dst /src)) 2025-05-21 11:55.00 ---> saved as "cd03c1b251c06a4f7b3af9335eedeec4c88b38bffe3f336eeb1ff22c2ef849ed" /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_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/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/.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 '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 (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 '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 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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650 Batch=599, step=600, lr=0.197750, batch loss=1.069497, epoch loss=41.605147 Batch=659, step=660, lr=0.197500, batch loss=0.482371, epoch loss=42.087518 Batch=719, step=720, lr=0.197250, batch loss=0.411152, epoch loss=42.498670 Batch=779, step=780, lr=0.197000, batch loss=0.469318, epoch loss=42.967987 Batch=839, step=840, lr=0.196750, batch loss=0.443866, epoch loss=43.411853 Batch=899, step=900, lr=0.196500, batch loss=0.383038, epoch loss=43.794891 Batch=959, step=960, lr=0.196250, batch loss=0.241851, epoch loss=44.036742 Batch=1019, step=1020, lr=0.196000, batch loss=0.451872, epoch loss=44.488614 Batch=1079, step=1080, lr=0.195750, batch loss=0.259300, epoch loss=44.747914 Batch=1139, step=1140, lr=0.195500, batch loss=0.339337, epoch loss=45.087252 Batch=1199, step=1200, lr=0.195250, batch loss=0.261345, epoch loss=45.348596 Epoch=0, step=1200, lr=0.195250, epoch loss=45.348596 Batch=59, step=1260, lr=0.195000, batch loss=0.260647, epoch loss=0.260647 Batch=119, step=1320, lr=0.194750, batch loss=0.202927, epoch loss=0.463574 Batch=179, step=1380, lr=0.194500, batch loss=0.244098, epoch loss=0.707672 Batch=239, step=1440, lr=0.194250, batch loss=0.348212, epoch loss=1.055884 Batch=299, step=1500, lr=0.194000, batch loss=0.239127, epoch loss=1.295010 Batch=359, step=1560, lr=0.193750, batch loss=0.318879, epoch loss=1.613890 Batch=419, step=1620, lr=0.193500, batch loss=0.311578, epoch loss=1.925467 Batch=479, step=1680, lr=0.193250, batch loss=0.276006, epoch loss=2.201474 Batch=539, step=1740, lr=0.193000, batch loss=0.211755, epoch loss=2.413229 Batch=599, step=1800, lr=0.192750, batch loss=0.259422, epoch loss=2.672651 Batch=659, step=1860, lr=0.192500, batch loss=0.368330, epoch loss=3.040981 Batch=719, step=1920, lr=0.192250, batch loss=0.365700, epoch loss=3.406681 Batch=779, step=1980, lr=0.192000, batch loss=0.381135, epoch loss=3.787816 Batch=839, step=2040, lr=0.191750, batch loss=0.340804, epoch loss=4.128620 Batch=899, step=2100, lr=0.191500, batch loss=0.295385, epoch loss=4.424005 Batch=959, step=2160, lr=0.191250, batch loss=0.216244, epoch loss=4.640249 Batch=1019, step=2220, lr=0.191000, batch loss=0.326969, epoch loss=4.967218 Batch=1079, step=2280, lr=0.190750, batch loss=0.193955, epoch loss=5.161173 Batch=1139, step=2340, lr=0.190500, batch loss=0.255686, epoch loss=5.416859 Batch=1199, step=2400, lr=0.190250, batch loss=0.210628, epoch loss=5.627487 Epoch=1, step=2400, lr=0.190250, epoch loss=5.627487 Batch=59, step=2460, lr=0.190000, batch loss=0.229884, epoch loss=0.229884 Batch=119, step=2520, lr=0.189500, batch loss=0.197721, epoch loss=0.427605 Batch=179, step=2580, lr=0.189500, batch loss=0.219321, epoch loss=0.646927 Batch=239, step=2640, lr=0.189250, batch loss=0.326830, epoch loss=0.973757 Batch=299, step=2700, lr=0.189000, batch loss=0.206342, epoch loss=1.180098 Batch=359, step=2760, lr=0.188750, batch loss=0.290806, epoch loss=1.470904 Batch=419, step=2820, lr=0.188500, batch loss=0.280332, epoch loss=1.751236 Batch=479, step=2880, lr=0.188250, batch loss=0.254686, epoch loss=2.005923 Batch=539, step=2940, lr=0.188000, batch loss=0.195936, epoch loss=2.201858 Batch=599, step=3000, lr=0.187750, batch loss=0.241106, epoch loss=2.442964 Batch=659, step=3060, lr=0.187500, batch loss=0.346253, epoch loss=2.789217 Batch=719, step=3120, lr=0.187250, batch loss=0.346735, epoch loss=3.135952 Batch=779, step=3180, lr=0.187000, batch loss=0.364881, epoch loss=3.500833 Batch=839, step=3240, lr=0.186750, batch loss=0.323003, epoch loss=3.823837 Batch=899, step=3300, lr=0.186500, batch loss=0.290073, epoch loss=4.113910 Batch=959, step=3360, lr=0.186250, batch loss=0.222010, epoch loss=4.335920 Batch=1019, step=3420, lr=0.186000, batch loss=0.349090, epoch loss=4.685010 Batch=1079, step=3480, lr=0.185750, batch loss=0.221809, epoch loss=4.906819 Batch=1139, step=3540, lr=0.185500, batch loss=0.264035, epoch loss=5.170854 Batch=1199, step=3600, lr=0.185250, batch loss=0.199968, epoch loss=5.370822 Epoch=2, step=3600, lr=0.185250, epoch loss=5.370822 Batch=59, step=3660, lr=0.185000, batch loss=0.221975, epoch loss=0.221975 Batch=119, step=3720, lr=0.184750, batch loss=0.185484, epoch loss=0.407459 Batch=179, step=3780, lr=0.184500, batch loss=0.212160, epoch loss=0.619619 Batch=239, step=3840, lr=0.184250, batch loss=0.315965, epoch loss=0.935583 Batch=299, step=3900, lr=0.184000, batch loss=0.205261, epoch loss=1.140844 Batch=359, step=3960, lr=0.183750, batch loss=0.287608, epoch loss=1.428452 Batch=419, step=4020, lr=0.183500, batch loss=0.274098, epoch loss=1.702550 Batch=479, step=4080, lr=0.183250, batch loss=0.260236, epoch loss=1.962786 Batch=539, step=4140, lr=0.183000, batch loss=0.194252, epoch loss=2.157038 Batch=599, step=4200, lr=0.182750, batch loss=0.230380, epoch loss=2.387418 Batch=659, step=4260, lr=0.182500, batch loss=0.337291, epoch loss=2.724708 Batch=719, step=4320, lr=0.182250, batch loss=0.341324, epoch loss=3.066032 Batch=779, step=4380, lr=0.182000, batch loss=0.352532, epoch loss=3.418564 Batch=839, step=4440, lr=0.181750, batch loss=0.315070, epoch loss=3.733634 Batch=899, step=4500, lr=0.181500, batch loss=0.282661, epoch loss=4.016295 Batch=959, step=4560, lr=0.181250, batch loss=0.226405, epoch loss=4.242700 Batch=1019, step=4620, lr=0.181000, batch loss=0.336721, epoch loss=4.579421 Batch=1079, step=4680, lr=0.180750, batch loss=0.192601, epoch loss=4.772022 Batch=1139, step=4740, lr=0.180500, batch loss=0.230136, epoch loss=5.002157 Batch=1199, step=4800, lr=0.180250, batch loss=0.191222, epoch loss=5.193379 Epoch=3, step=4800, lr=0.180250, epoch loss=5.193379 Batch=59, step=4860, lr=0.180000, batch loss=0.218661, epoch loss=0.218661 Batch=119, step=4920, lr=0.179750, batch loss=0.186175, epoch loss=0.404836 Batch=179, step=4980, lr=0.179500, batch loss=0.206032, epoch loss=0.610869 Batch=239, step=5040, lr=0.179250, batch loss=0.306267, epoch loss=0.917136 Batch=299, step=5100, lr=0.179000, batch loss=0.202650, epoch loss=1.119786 Batch=359, step=5160, lr=0.178750, batch loss=0.272993, epoch loss=1.392779 Batch=419, step=5220, lr=0.178500, batch loss=0.264113, epoch loss=1.656892 Batch=479, step=5280, lr=0.178250, batch loss=0.240514, epoch loss=1.897406 Batch=539, step=5340, lr=0.178000, batch loss=0.190528, epoch loss=2.087934 Batch=599, step=5400, lr=0.177750, batch loss=0.230584, epoch loss=2.318518 Batch=659, step=5460, lr=0.177500, batch loss=0.324950, epoch loss=2.643469 Batch=719, step=5520, lr=0.177250, batch loss=0.332944, epoch loss=2.976412 Batch=779, step=5580, lr=0.177000, batch loss=0.342709, epoch loss=3.319121 Batch=839, step=5640, lr=0.176750, batch loss=0.309247, epoch loss=3.628368 Batch=899, step=5700, lr=0.176500, batch loss=0.270780, epoch loss=3.899148 Batch=959, step=5760, lr=0.176250, batch loss=0.218886, epoch loss=4.118034 Batch=1019, step=5820, lr=0.176000, batch loss=0.338340, epoch loss=4.456374 Batch=1079, step=5880, lr=0.175750, batch loss=0.209763, epoch loss=4.666138 Batch=1139, step=5940, lr=0.175500, batch loss=0.238969, epoch loss=4.905107 Batch=1199, step=6000, lr=0.175250, batch loss=0.185788, epoch loss=5.090895 Epoch=4, step=6000, lr=0.175250, epoch loss=5.090895 Batch=59, step=6060, lr=0.175000, batch loss=0.225945, epoch loss=0.225945 Batch=119, step=6120, lr=0.174750, batch loss=0.184714, epoch loss=0.410660 Batch=179, step=6180, lr=0.174500, batch loss=0.201273, epoch loss=0.611932 Batch=239, step=6240, lr=0.174250, batch loss=0.300241, epoch loss=0.912173 Batch=299, step=6300, lr=0.174000, batch loss=0.207712, epoch loss=1.119885 Batch=359, step=6360, lr=0.173750, batch loss=0.266081, epoch loss=1.385966 Batch=419, step=6420, lr=0.173500, batch loss=0.265054, epoch loss=1.651020 Batch=479, step=6480, lr=0.173250, batch loss=0.243920, epoch loss=1.894940 Batch=539, step=6540, lr=0.173000, batch loss=0.193702, epoch loss=2.088642 Batch=599, step=6600, lr=0.172750, batch loss=0.235893, epoch loss=2.324535 Batch=659, step=6660, lr=0.172500, batch loss=0.311810, epoch loss=2.636345 Batch=719, step=6720, lr=0.172250, batch loss=0.319004, epoch loss=2.955349 Batch=779, step=6780, lr=0.172000, batch loss=0.338052, epoch loss=3.293401 Batch=839, step=6840, lr=0.171750, batch loss=0.299861, epoch loss=3.593263 Batch=899, step=6900, lr=0.171500, batch loss=0.266398, epoch loss=3.859661 Batch=959, step=6960, lr=0.171250, batch loss=0.209671, epoch loss=4.069332 Batch=1019, step=7020, lr=0.171000, batch loss=0.326321, epoch loss=4.395652 Batch=1079, step=7080, lr=0.170750, batch loss=0.176649, epoch loss=4.572301 Batch=1139, step=7140, lr=0.170500, batch loss=0.214276, epoch loss=4.786577 Batch=1199, step=7200, lr=0.170250, batch loss=0.184192, epoch loss=4.970770 Epoch=5, step=7200, lr=0.170250, epoch loss=4.970770 Batch=59, step=7260, lr=0.170000, batch loss=0.238902, epoch loss=0.238902 Batch=119, step=7320, lr=0.169750, batch loss=0.181121, epoch loss=0.420024 Batch=179, step=7380, lr=0.169500, batch loss=0.194394, epoch loss=0.614418 Batch=239, step=7440, lr=0.169000, batch loss=0.294086, epoch loss=0.908504 Batch=299, step=7500, lr=0.169000, batch loss=0.201315, epoch loss=1.109818 Batch=359, step=7560, lr=0.168750, batch loss=0.258743, epoch loss=1.368561 Batch=419, step=7620, lr=0.168500, batch loss=0.255923, epoch loss=1.624484 Batch=479, step=7680, lr=0.168250, batch loss=0.236826, epoch loss=1.861310 Batch=539, step=7740, lr=0.168000, batch loss=0.187398, epoch loss=2.048708 Batch=599, step=7800, lr=0.167750, batch loss=0.225374, epoch loss=2.274082 Batch=659, step=7860, lr=0.167500, batch loss=0.305978, epoch loss=2.580061 Batch=719, step=7920, lr=0.167250, batch loss=0.306845, epoch loss=2.886906 Batch=779, step=7980, lr=0.167000, batch loss=0.321834, epoch loss=3.208739 Batch=839, step=8040, lr=0.166750, batch loss=0.295915, epoch loss=3.504655 Batch=899, step=8100, lr=0.166500, batch loss=0.260130, epoch loss=3.764785 Batch=959, step=8160, lr=0.166250, batch loss=0.206014, epoch loss=3.970798 Batch=1019, step=8220, lr=0.166000, batch loss=0.319170, epoch loss=4.289968 Batch=1079, step=8280, lr=0.165750, batch loss=0.169255, epoch loss=4.459224 Batch=1139, step=8340, lr=0.165500, batch loss=0.207521, epoch loss=4.666745 Batch=1199, step=8400, lr=0.165250, batch loss=0.175995, epoch loss=4.842739 Epoch=6, step=8400, lr=0.165250, epoch loss=4.842739 Batch=59, step=8460, lr=0.165000, batch loss=0.216402, epoch loss=0.216402 Batch=119, step=8520, lr=0.164750, batch loss=0.184425, epoch loss=0.400827 Batch=179, step=8580, lr=0.164500, batch loss=0.187563, epoch loss=0.588390 Batch=239, step=8640, lr=0.164250, batch loss=0.278518, epoch loss=0.866908 Batch=299, step=8700, lr=0.164000, batch loss=0.191783, epoch loss=1.058691 Batch=359, step=8760, lr=0.163750, batch loss=0.248796, epoch loss=1.307487 Batch=419, step=8820, lr=0.163500, batch loss=0.244935, epoch loss=1.552422 Batch=479, step=8880, lr=0.163250, batch loss=0.228648, epoch loss=1.781069 Batch=539, step=8940, lr=0.163000, batch loss=0.177744, epoch loss=1.958814 Batch=599, step=9000, lr=0.162750, batch loss=0.217908, epoch loss=2.176721 Batch=659, step=9060, lr=0.162500, batch loss=0.294296, epoch loss=2.471018 Batch=719, step=9120, lr=0.162250, batch loss=0.296319, epoch loss=2.767337 Batch=779, step=9180, lr=0.162000, batch loss=0.316345, epoch loss=3.083682 Batch=839, step=9240, lr=0.161750, batch loss=0.287115, epoch loss=3.370797 Batch=899, step=9300, lr=0.161500, batch loss=0.250629, epoch loss=3.621426 Batch=959, step=9360, lr=0.161250, batch loss=0.192002, epoch loss=3.813428 Batch=1019, step=9420, lr=0.161000, batch loss=0.312307, epoch loss=4.125735 Batch=1079, step=9480, lr=0.160750, batch loss=0.193337, epoch loss=4.319072 Batch=1139, step=9540, lr=0.160500, batch loss=0.215599, epoch loss=4.534671 Batch=1199, step=9600, lr=0.160250, batch loss=0.165057, epoch loss=4.699727 Epoch=7, step=9600, lr=0.160250, epoch loss=4.699727 Batch=59, step=9660, lr=0.160000, batch loss=0.197161, epoch loss=0.197161 Batch=119, step=9720, lr=0.159750, batch loss=0.165431, epoch loss=0.362592 Batch=179, step=9780, lr=0.159500, batch loss=0.178991, epoch loss=0.541583 Batch=239, step=9840, lr=0.159250, batch loss=0.263369, epoch loss=0.804952 Batch=299, step=9900, lr=0.159000, batch loss=0.181861, epoch loss=0.986814 Batch=359, step=9960, lr=0.158750, batch loss=0.240931, epoch loss=1.227745 Batch=419, step=10020, lr=0.158500, batch loss=0.231988, epoch loss=1.459733 Batch=479, step=10080, lr=0.158250, batch loss=0.213391, epoch loss=1.673125 Batch=539, step=10140, lr=0.158000, batch loss=0.170380, epoch loss=1.843505 Batch=599, step=10200, lr=0.157750, batch loss=0.201319, epoch loss=2.044824 Batch=659, step=10260, lr=0.157500, batch loss=0.281679, epoch loss=2.326503 Batch=719, step=10320, lr=0.157250, batch loss=0.286996, epoch loss=2.613499 Batch=779, step=10380, lr=0.157000, batch loss=0.295409, epoch loss=2.908908 Batch=839, step=10440, lr=0.156750, batch loss=0.266730, epoch loss=3.175638 Batch=899, step=10500, lr=0.156500, batch loss=0.242273, epoch loss=3.417911 Batch=959, step=10560, lr=0.156250, batch loss=0.198337, epoch loss=3.616248 Batch=1019, step=10620, lr=0.156000, batch loss=0.282677, epoch loss=3.898925 Batch=1079, step=10680, lr=0.155750, batch loss=0.174106, epoch loss=4.073031 Batch=1139, step=10740, lr=0.155500, batch loss=0.203084, epoch loss=4.276115 Batch=1199, step=10800, lr=0.155250, batch loss=0.156013, epoch loss=4.432128 Epoch=8, step=10800, lr=0.155250, epoch loss=4.432128 Batch=59, step=10860, lr=0.155000, batch loss=0.181241, epoch loss=0.181241 Batch=119, step=10920, lr=0.154750, batch loss=0.149541, epoch loss=0.330782 Batch=179, step=10980, lr=0.154250, batch loss=0.166506, epoch loss=0.497288 Batch=239, step=11040, lr=0.154250, batch loss=0.244928, epoch loss=0.742216 Batch=299, step=11100, lr=0.154000, batch loss=0.163366, epoch loss=0.905582 Batch=359, step=11160, lr=0.153750, batch loss=0.225725, epoch loss=1.131307 Batch=419, step=11220, lr=0.153500, batch loss=0.235076, epoch loss=1.366382 Batch=479, step=11280, lr=0.153250, batch loss=0.197414, epoch loss=1.563796 Batch=539, step=11340, lr=0.153000, batch loss=0.158327, epoch loss=1.722123 Batch=599, step=11400, lr=0.152750, batch loss=0.179167, epoch loss=1.901290 Batch=659, step=11460, lr=0.152500, batch loss=0.263733, epoch loss=2.165024 Batch=719, step=11520, lr=0.152250, batch loss=0.258511, epoch loss=2.423534 Batch=779, step=11580, lr=0.152000, batch loss=0.271924, epoch loss=2.695458 Batch=839, step=11640, lr=0.151750, batch loss=0.255637, epoch loss=2.951095 Batch=899, step=11700, lr=0.151500, batch loss=0.212084, epoch loss=3.163179 Batch=959, step=11760, lr=0.151250, batch loss=0.169670, epoch loss=3.332849 Batch=1019, step=11820, lr=0.151000, batch loss=0.265392, epoch loss=3.598240 Batch=1079, step=11880, lr=0.150750, batch loss=0.152216, epoch loss=3.750457 Batch=1139, step=11940, lr=0.150500, batch loss=0.185012, epoch loss=3.935469 Batch=1199, step=12000, lr=0.150250, batch loss=0.139017, epoch loss=4.074485 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074485 Batch=59, step=12060, lr=0.150000, batch loss=0.157869, epoch loss=0.157869 Batch=119, step=12120, lr=0.149750, batch loss=0.127389, epoch loss=0.285259 Batch=179, step=12180, lr=0.149500, batch loss=0.151590, epoch loss=0.436848 Batch=239, step=12240, lr=0.149250, batch loss=0.218607, epoch loss=0.655455 Batch=299, step=12300, lr=0.149000, batch loss=0.138814, epoch loss=0.794269 Batch=359, step=12360, lr=0.148750, batch loss=0.197820, epoch loss=0.992090 Batch=419, step=12420, lr=0.148500, batch loss=0.213342, epoch loss=1.205432 Batch=479, step=12480, lr=0.148250, batch loss=0.174108, epoch loss=1.379540 Batch=539, step=12540, lr=0.148000, batch loss=0.144839, epoch loss=1.524379 Batch=599, step=12600, lr=0.147750, batch loss=0.150972, epoch loss=1.675351 Batch=659, step=12660, lr=0.147500, batch loss=0.229391, epoch loss=1.904742 Batch=719, step=12720, lr=0.147250, batch loss=0.228302, epoch loss=2.133044 Batch=779, step=12780, lr=0.147000, batch loss=0.249790, epoch loss=2.382835 Batch=839, step=12840, lr=0.146750, batch loss=0.223552, epoch loss=2.606387 Batch=899, step=12900, lr=0.146500, batch loss=0.190499, epoch loss=2.796886 Batch=959, step=12960, lr=0.146250, batch loss=0.162120, epoch loss=2.959006 Batch=1019, step=13020, lr=0.146000, batch loss=0.261372, epoch loss=3.220378 Batch=1079, step=13080, lr=0.145750, batch loss=0.116832, epoch loss=3.337210 Batch=1139, step=13140, lr=0.145500, batch loss=0.160642, epoch loss=3.497852 Batch=1199, step=13200, lr=0.145250, batch loss=0.118591, epoch loss=3.616443 Epoch=10, step=13200, lr=0.145250, epoch loss=3.616443 Batch=59, step=13260, lr=0.145000, batch loss=0.139383, epoch loss=0.139383 Batch=119, step=13320, lr=0.144750, batch loss=0.121451, epoch loss=0.260834 Batch=179, step=13380, lr=0.144500, batch loss=0.128201, epoch loss=0.389035 Batch=239, step=13440, lr=0.144250, batch loss=0.192323, epoch loss=0.581358 Batch=299, step=13500, lr=0.144000, batch loss=0.115456, epoch loss=0.696813 Batch=359, step=13560, lr=0.143750, batch loss=0.158321, epoch loss=0.855134 Batch=419, step=13620, lr=0.143500, batch loss=0.160786, epoch loss=1.015920 Batch=479, step=13680, lr=0.143250, batch loss=0.145783, epoch loss=1.161703 Batch=539, step=13740, lr=0.143000, batch loss=0.116574, epoch loss=1.278277 Batch=599, step=13800, lr=0.142750, batch loss=0.119398, epoch loss=1.397675 Batch=659, step=13860, lr=0.142500, batch loss=0.175576, epoch loss=1.573251 Batch=719, step=13920, lr=0.142250, batch loss=0.171761, epoch loss=1.745012 Batch=779, step=13980, lr=0.142000, batch loss=0.178789, epoch loss=1.923801 Batch=839, step=14040, lr=0.141750, batch loss=0.203052, epoch loss=2.126854 Batch=899, step=14100, lr=0.141500, batch loss=0.220799, epoch loss=2.347652 Batch=959, step=14160, lr=0.141250, batch loss=0.107619, epoch loss=2.455271 Batch=1019, step=14220, lr=0.141000, batch loss=0.189271, epoch loss=2.644542 Batch=1079, step=14280, lr=0.140750, batch loss=0.083615, epoch loss=2.728157 Batch=1139, step=14340, lr=0.140500, batch loss=0.133792, epoch loss=2.861949 Batch=1199, step=14400, lr=0.140250, batch loss=0.086585, epoch loss=2.948534 Epoch=11, step=14400, lr=0.140250, epoch loss=2.948534 Batch=59, step=14460, lr=0.140000, batch loss=0.102406, epoch loss=0.102406 Batch=119, step=14520, lr=0.139750, batch loss=0.099293, epoch loss=0.201700 Batch=179, step=14580, lr=0.139500, batch loss=0.097989, epoch loss=0.299689 Batch=239, step=14640, lr=0.139250, batch loss=0.143485, epoch loss=0.443173 Batch=299, step=14700, lr=0.139000, batch loss=0.110150, epoch loss=0.553324 Batch=359, step=14760, lr=0.138750, batch loss=0.133974, epoch loss=0.687298 Batch=419, step=14820, lr=0.138500, batch loss=0.159713, epoch loss=0.847010 Batch=479, step=14880, lr=0.138250, batch loss=0.085115, epoch loss=0.932125 Batch=539, step=14940, lr=0.138000, batch loss=0.068735, epoch loss=1.000860 Batch=599, step=15000, lr=0.137750, batch loss=0.096497, epoch loss=1.097357 Batch=659, step=15060, lr=0.137500, batch loss=0.193414, epoch loss=1.290771 Batch=719, step=15120, lr=0.137250, batch loss=0.119487, epoch loss=1.410258 Batch=779, step=15180, lr=0.137000, batch loss=0.135452, epoch loss=1.545710 Batch=839, step=15240, lr=0.136750, batch loss=0.158891, epoch loss=1.704601 Batch=899, step=15300, lr=0.136500, batch loss=0.266223, epoch loss=1.970824 Batch=959, step=15360, lr=0.136250, batch loss=0.067401, epoch loss=2.038224 Batch=1019, step=15420, lr=0.136000, batch loss=0.155849, epoch loss=2.194074 Batch=1079, step=15480, lr=0.135750, batch loss=0.034529, epoch loss=2.228603 Batch=1139, step=15540, lr=0.135500, batch loss=0.087413, epoch loss=2.316016 Batch=1199, step=15600, lr=0.135000, batch loss=0.055947, epoch loss=2.371964 Epoch=12, step=15600, lr=0.135000, epoch loss=2.371964 Batch=59, step=15660, lr=0.135000, batch loss=0.076743, epoch loss=0.076743 Batch=119, step=15720, lr=0.134750, batch loss=0.104431, epoch loss=0.181175 Batch=179, step=15780, lr=0.134500, batch loss=0.086001, epoch loss=0.267176 Batch=239, step=15840, lr=0.134250, batch loss=0.092209, epoch loss=0.359385 Batch=299, step=15900, lr=0.133750, batch loss=0.035635, epoch loss=0.395021 Batch=359, step=15960, lr=0.133750, batch loss=0.077549, epoch loss=0.472569 Batch=419, step=16020, lr=0.133500, batch loss=0.077967, epoch loss=0.550536 Batch=479, step=16080, lr=0.133250, batch loss=0.059253, epoch loss=0.609790 Batch=539, step=16140, lr=0.133000, batch loss=0.070987, epoch loss=0.680777 Batch=599, step=16200, lr=0.132750, batch loss=0.169414, epoch loss=0.850190 Batch=659, step=16260, lr=0.132500, batch loss=0.097262, epoch loss=0.947452 Batch=719, step=16320, lr=0.132250, batch loss=0.123973, epoch loss=1.071425 Batch=779, step=16380, lr=0.132000, batch loss=0.287083, epoch loss=1.358508 Batch=839, step=16440, lr=0.131750, batch loss=0.092939, epoch loss=1.451447 Batch=899, step=16500, lr=0.131500, batch loss=0.080640, epoch loss=1.532086 Batch=959, step=16560, lr=0.131000, batch loss=0.031314, epoch loss=1.563401 Batch=1019, step=16620, lr=0.131000, batch loss=0.061321, epoch loss=1.624722 Batch=1079, step=16680, lr=0.130750, batch loss=0.052623, epoch loss=1.677345 Batch=1139, step=16740, lr=0.130500, batch loss=0.097269, epoch loss=1.774614 Batch=1199, step=16800, lr=0.130250, batch loss=0.047808, epoch loss=1.822422 Epoch=13, step=16800, lr=0.130250, epoch loss=1.822422 Batch=59, step=16860, lr=0.130000, batch loss=0.034076, epoch loss=0.034076 Batch=119, step=16920, lr=0.129500, batch loss=0.033538, epoch loss=0.067615 Batch=179, step=16980, lr=0.129500, batch loss=0.042702, epoch loss=0.110317 Batch=239, step=17040, lr=0.129250, batch loss=0.060556, epoch loss=0.170873 Batch=299, step=17100, lr=0.129000, batch loss=0.027911, epoch loss=0.198784 Batch=359, step=17160, lr=0.128750, batch loss=0.045959, epoch loss=0.244743 Batch=419, step=17220, lr=0.128500, batch loss=0.073015, epoch loss=0.317758 Batch=479, step=17280, lr=0.128250, batch loss=0.022805, epoch loss=0.340564 Batch=539, step=17340, lr=0.128000, batch loss=0.027020, epoch loss=0.367583 Batch=599, step=17400, lr=0.127750, batch loss=0.034055, epoch loss=0.401638 Batch=659, step=17460, lr=0.127500, batch loss=0.044444, epoch loss=0.446082 Batch=719, step=17520, lr=0.127250, batch loss=0.044899, epoch loss=0.490981 Batch=779, step=17580, lr=0.127000, batch loss=0.077641, epoch loss=0.568622 Batch=839, step=17640, lr=0.126750, batch loss=0.166816, epoch loss=0.735438 Batch=899, step=17700, lr=0.126500, batch loss=0.064321, epoch loss=0.799759 Batch=959, step=17760, lr=0.126250, batch loss=0.022966, epoch loss=0.822725 Batch=1019, step=17820, lr=0.126000, batch loss=0.035183, epoch loss=0.857908 Batch=1079, step=17880, lr=0.125750, batch loss=0.013442, epoch loss=0.871350 Batch=1139, step=17940, lr=0.125500, batch loss=0.036954, epoch loss=0.908304 Batch=1199, step=18000, lr=0.125250, batch loss=0.016439, epoch loss=0.924743 Epoch=14, step=18000, lr=0.125250, epoch loss=0.924743 Batch=59, step=18060, lr=0.125000, batch loss=0.014151, epoch loss=0.014151 Batch=119, step=18120, lr=0.124750, batch loss=0.027000, epoch loss=0.041152 Batch=179, step=18180, lr=0.124500, batch loss=0.029471, epoch loss=0.070623 Batch=239, step=18240, lr=0.124250, batch loss=0.035530, epoch loss=0.106153 Batch=299, step=18300, lr=0.124000, batch loss=0.012223, epoch loss=0.118376 Batch=359, step=18360, lr=0.123750, batch loss=0.023532, epoch loss=0.141907 Batch=419, step=18420, lr=0.123500, batch loss=0.029234, epoch loss=0.171142 Batch=479, step=18480, lr=0.123250, batch loss=0.018568, epoch loss=0.189710 Batch=539, step=18540, lr=0.123000, batch loss=0.040887, epoch loss=0.230597 Batch=599, step=18600, lr=0.122750, batch loss=0.026010, epoch loss=0.256607 Batch=659, step=18660, lr=0.122500, batch loss=0.032429, epoch loss=0.289036 Batch=719, step=18720, lr=0.122250, batch loss=0.047934, epoch loss=0.336970 Batch=779, step=18780, lr=0.122000, batch loss=0.116158, epoch loss=0.453128 Batch=839, step=18840, lr=0.121750, batch loss=0.057205, epoch loss=0.510332 Batch=899, step=18900, lr=0.121500, batch loss=0.058147, epoch loss=0.568479 Batch=959, step=18960, lr=0.121250, batch loss=0.014084, epoch loss=0.582563 Batch=1019, step=19020, lr=0.121000, batch loss=0.021506, epoch loss=0.604069 Batch=1079, step=19080, lr=0.120500, batch loss=0.010104, epoch loss=0.614174 Batch=1139, step=19140, lr=0.120500, batch loss=0.023204, epoch loss=0.637378 Batch=1199, step=19200, lr=0.120250, batch loss=0.009029, epoch loss=0.646406 Epoch=15, step=19200, lr=0.120250, epoch loss=0.646406 Batch=59, step=19260, lr=0.120000, batch loss=0.004126, epoch loss=0.004126 Batch=119, step=19320, lr=0.119750, batch loss=0.015068, epoch loss=0.019194 Batch=179, step=19380, lr=0.119500, batch loss=0.033111, epoch loss=0.052306 Batch=239, step=19440, lr=0.119250, batch loss=0.020669, epoch loss=0.072974 Batch=299, step=19500, lr=0.119000, batch loss=0.005343, epoch loss=0.078317 Batch=359, step=19560, lr=0.118750, batch loss=0.018117, epoch loss=0.096434 Batch=419, step=19620, lr=0.118500, batch loss=0.019289, epoch loss=0.115723 Batch=479, step=19680, lr=0.118250, batch loss=0.007767, epoch loss=0.123490 Batch=539, step=19740, lr=0.118000, batch loss=0.017109, epoch loss=0.140599 Batch=599, step=19800, lr=0.117750, batch loss=0.023333, epoch loss=0.163932 Batch=659, step=19860, lr=0.117250, batch loss=0.019089, epoch loss=0.183021 Batch=719, step=19920, lr=0.117250, batch loss=0.047172, epoch loss=0.230193 Batch=779, step=19980, lr=0.117000, batch loss=0.082075, epoch loss=0.312267 Batch=839, step=20040, lr=0.116750, batch loss=0.031420, epoch loss=0.343687 Batch=899, step=20100, lr=0.116500, batch loss=0.031002, epoch loss=0.374689 Batch=959, step=20160, lr=0.116250, batch loss=0.011177, epoch loss=0.385866 Batch=1019, step=20220, lr=0.116000, batch loss=0.016859, epoch loss=0.402725 Batch=1079, step=20280, lr=0.115750, batch loss=0.001888, epoch loss=0.404612 Batch=1139, step=20340, lr=0.115500, batch loss=0.015943, epoch loss=0.420555 Batch=1199, step=20400, lr=0.115250, batch loss=0.006437, epoch loss=0.426992 Epoch=16, step=20400, lr=0.115250, epoch loss=0.426992 Batch=59, step=20460, lr=0.115000, batch loss=0.002936, epoch loss=0.002936 Batch=119, step=20520, lr=0.114750, batch loss=0.008942, epoch loss=0.011878 Batch=179, step=20580, lr=0.114500, batch loss=0.020128, epoch loss=0.032006 Batch=239, step=20640, lr=0.114250, batch loss=0.019903, epoch loss=0.051909 Batch=299, step=20700, lr=0.113750, batch loss=0.009589, epoch loss=0.061498 Batch=359, step=20760, lr=0.113500, batch loss=0.013808, epoch loss=0.075306 Batch=419, step=20820, lr=0.113500, batch loss=0.014426, epoch loss=0.089732 Batch=479, step=20880, lr=0.113250, batch loss=0.003533, epoch loss=0.093265 Batch=539, step=20940, lr=0.112750, batch loss=0.019016, epoch loss=0.112281 Batch=599, step=21000, lr=0.112500, batch loss=0.020003, epoch loss=0.132284 Batch=659, step=21060, lr=0.112250, batch loss=0.016119, epoch loss=0.148403 Batch=719, step=21120, lr=0.112250, batch loss=0.037301, epoch loss=0.185704 Batch=779, step=21180, lr=0.112000, batch loss=0.075486, epoch loss=0.261190 Batch=839, step=21240, lr=0.111750, batch loss=0.026589, epoch loss=0.287779 Batch=899, step=21300, lr=0.111500, batch loss=0.034414, epoch loss=0.322192 Batch=959, step=21360, lr=0.111250, batch loss=0.009801, epoch loss=0.331994 Batch=1019, step=21420, lr=0.111000, batch loss=0.011792, epoch loss=0.343786 Batch=1079, step=21480, lr=0.110750, batch loss=0.000726, epoch loss=0.344512 Batch=1139, step=21540, lr=0.110500, batch loss=0.012125, epoch loss=0.356636 Batch=1199, step=21600, lr=0.110000, batch loss=0.005093, epoch loss=0.361729 Epoch=17, step=21600, lr=0.110000, epoch loss=0.361729 Batch=59, step=21660, lr=0.109750, batch loss=0.002235, epoch loss=0.002235 Batch=119, step=21720, lr=0.109500, batch loss=0.006560, epoch loss=0.008795 Batch=179, step=21780, lr=0.109250, batch loss=0.013012, epoch loss=0.021807 Batch=239, step=21840, lr=0.109250, batch loss=0.009374, epoch loss=0.031182 Batch=299, step=21900, lr=0.108750, batch loss=0.003993, epoch loss=0.035174 Batch=359, step=21960, lr=0.108500, batch loss=0.014296, epoch loss=0.049470 Batch=419, step=22020, lr=0.108250, batch loss=0.012327, epoch loss=0.061798 Batch=479, step=22080, lr=0.108250, batch loss=0.003077, epoch loss=0.064874 Batch=539, step=22140, lr=0.108000, batch loss=0.017737, epoch loss=0.082611 Batch=599, step=22200, lr=0.107750, batch loss=0.017075, epoch loss=0.099686 Batch=659, step=22260, lr=0.107500, batch loss=0.014550, epoch loss=0.114236 Batch=719, step=22320, lr=0.107250, batch loss=0.027006, epoch loss=0.141243 Batch=779, step=22380, lr=0.107000, batch loss=0.043066, epoch loss=0.184309 Batch=839, step=22440, lr=0.106750, batch loss=0.022275, epoch loss=0.206584 Batch=899, step=22500, lr=0.106500, batch loss=0.021678, epoch loss=0.228262 Batch=959, step=22560, lr=0.106250, batch loss=0.010677, epoch loss=0.238939 Batch=1019, step=22620, lr=0.106000, batch loss=0.009932, epoch loss=0.248871 Batch=1079, step=22680, lr=0.105500, batch loss=0.000196, epoch loss=0.249067 Batch=1139, step=22740, lr=0.105500, batch loss=0.010849, epoch loss=0.259915 Batch=1199, step=22800, lr=0.105250, batch loss=0.004221, epoch loss=0.264137 Epoch=18, step=22800, lr=0.105250, epoch loss=0.264137 Batch=59, step=22860, lr=0.105000, batch loss=0.001277, epoch loss=0.001277 Batch=119, step=22920, lr=0.104750, batch loss=0.005629, epoch loss=0.006906 Batch=179, step=22980, lr=0.104250, batch loss=0.011254, epoch loss=0.018160 Batch=239, step=23040, lr=0.104250, batch loss=0.008932, epoch loss=0.027092 Batch=299, step=23100, lr=0.104000, batch loss=0.006407, epoch loss=0.033499 Batch=359, step=23160, lr=0.103750, batch loss=0.013129, epoch loss=0.046628 Batch=419, step=23220, lr=0.103500, batch loss=0.011042, epoch loss=0.057670 Batch=479, step=23280, lr=0.103250, batch loss=0.003554, epoch loss=0.061224 Batch=539, step=23340, lr=0.103000, batch loss=0.015325, epoch loss=0.076549 Batch=599, step=23400, lr=0.102750, batch loss=0.013952, epoch loss=0.090501 Batch=659, step=23460, lr=0.102500, batch loss=0.012584, epoch loss=0.103085 Batch=719, step=23520, lr=0.102250, batch loss=0.015024, epoch loss=0.118109 Batch=779, step=23580, lr=0.102000, batch loss=0.021180, epoch loss=0.139289 Batch=839, step=23640, lr=0.101750, batch loss=0.025903, epoch loss=0.165192 Batch=899, step=23700, lr=0.101500, batch loss=0.022196, epoch loss=0.187388 Batch=959, step=23760, lr=0.101250, batch loss=0.007770, epoch loss=0.195158 Batch=1019, step=23820, lr=0.101000, batch loss=0.006735, epoch loss=0.201893 Batch=1079, step=23880, lr=0.100750, batch loss=0.001596, epoch loss=0.203488 Batch=1139, step=23940, lr=0.100500, batch loss=0.008313, epoch loss=0.211801 Batch=1199, step=24000, lr=0.100250, batch loss=0.004372, epoch loss=0.216173 Epoch=19, step=24000, lr=0.100250, epoch loss=0.216173 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 11:56.36: Job failed: Failed: Build failed