2025-05-21 10:43.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (495b9f40152fbfb28e9b4c99de09840940ccb650) (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 495b9f40 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 10:43.10: 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 10:43.10: 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")) ) 2025-05-21 10:43.10: Waiting for resource in pool OCluster 2025-05-21 10:43.10: Waiting for worker… 2025-05-21 10:43.11: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at 330b9509 Logging: fixes on the Linux side cuda logging on Windows still broken because of stdout capture issue. HEAD is now at 495b9f40 Tentative domain-based stdout capture (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-21 10:44.38 ---> 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% | 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 10:44.57 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 10:44.57 ---> 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] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 10:45.54 ---> saved as "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" /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 10:45.55 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 10:45.58 ---> 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-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 10:46.40 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 10:46.40 ---> 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) 2025-05-21 10:46.47 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 10:46.48 ---> 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% | 316.3 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 82.7 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 21.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 319.2 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 10:47.19 ---> 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 backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 time_now.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (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 mtime.2.1.0 -> installed fmt.0.10.0 -> installed uutf.1.0.4 -> 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 result.1.5 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed camlp-streams.5.0.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> 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_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 10:51.46 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f" /src: (copy (src .) (dst /src)) 2025-05-21 10:51.51 ---> saved as "ed247c3b031fe4819932ecee443dd25beba13a2b6f9fcd9108d5c28f59b0a73a" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f1c47455a23052865ee0933e1acce9f0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/302a0b55bcb07affe79331fed41bd0e3/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/302a0b55bcb07affe79331fed41bd0e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435 Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073792 Batch=359, step=360, lr=0.198750, batch loss=1.325710, epoch loss=38.399502 Batch=419, step=420, lr=0.198500, batch loss=0.622274, epoch loss=39.021777 Batch=479, step=480, lr=0.198250, batch loss=0.816239, epoch loss=39.838015 Batch=539, step=540, lr=0.198000, batch loss=0.700244, epoch loss=40.538260 Batch=599, step=600, lr=0.197750, batch loss=1.070824, epoch loss=41.609083 Batch=659, step=660, lr=0.197500, batch loss=0.483184, epoch loss=42.092267 Batch=719, step=720, lr=0.197250, batch loss=0.411563, epoch loss=42.503831 Batch=779, step=780, lr=0.197000, batch loss=0.469673, epoch loss=42.973504 Batch=839, step=840, lr=0.196750, batch loss=0.444734, epoch loss=43.418237 Batch=899, step=900, lr=0.196500, batch loss=0.383058, epoch loss=43.801295 Batch=959, step=960, lr=0.196250, batch loss=0.240421, epoch loss=44.041716 Batch=1019, step=1020, lr=0.196000, batch loss=0.438896, epoch loss=44.480613 Batch=1079, step=1080, lr=0.195750, batch loss=0.226064, epoch loss=44.706676 Batch=1139, step=1140, lr=0.195500, batch loss=0.314961, epoch loss=45.021637 Batch=1199, step=1200, lr=0.195250, batch loss=0.262412, epoch loss=45.284049 Epoch=0, step=1200, lr=0.195250, epoch loss=45.284049 Batch=59, step=1260, lr=0.194750, batch loss=0.261951, epoch loss=0.261951 Batch=119, step=1320, lr=0.194750, batch loss=0.210849, epoch loss=0.472799 Batch=179, step=1380, lr=0.194500, batch loss=0.243805, epoch loss=0.716604 Batch=239, step=1440, lr=0.194250, batch loss=0.350474, epoch loss=1.067078 Batch=299, step=1500, lr=0.194000, batch loss=0.239082, epoch loss=1.306160 Batch=359, step=1560, lr=0.193750, batch loss=0.312733, epoch loss=1.618893 Batch=419, step=1620, lr=0.193500, batch loss=0.307290, epoch loss=1.926184 Batch=479, step=1680, lr=0.193250, batch loss=0.272734, epoch loss=2.198918 Batch=539, step=1740, lr=0.193000, batch loss=0.210649, epoch loss=2.409567 Batch=599, step=1800, lr=0.192750, batch loss=0.248767, epoch loss=2.658334 Batch=659, step=1860, lr=0.192500, batch loss=0.368608, epoch loss=3.026942 Batch=719, step=1920, lr=0.192250, batch loss=0.362457, epoch loss=3.389399 Batch=779, step=1980, lr=0.191750, batch loss=0.380586, epoch loss=3.769985 Batch=839, step=2040, lr=0.191750, batch loss=0.343143, epoch loss=4.113128 Batch=899, step=2100, lr=0.191500, batch loss=0.315493, epoch loss=4.428622 Batch=959, step=2160, lr=0.191250, batch loss=0.240864, epoch loss=4.669486 Batch=1019, step=2220, lr=0.191000, batch loss=0.360093, epoch loss=5.029580 Batch=1079, step=2280, lr=0.190750, batch loss=0.234633, epoch loss=5.264213 Batch=1139, step=2340, lr=0.190500, batch loss=0.287255, epoch loss=5.551467 Batch=1199, step=2400, lr=0.190250, batch loss=0.219108, epoch loss=5.770575 Epoch=1, step=2400, lr=0.190250, epoch loss=5.770575 Batch=59, step=2460, lr=0.190000, batch loss=0.231052, epoch loss=0.231052 Batch=119, step=2520, lr=0.189750, batch loss=0.196632, epoch loss=0.427684 Batch=179, step=2580, lr=0.189500, batch loss=0.222534, epoch loss=0.650218 Batch=239, step=2640, lr=0.189250, batch loss=0.329656, epoch loss=0.979874 Batch=299, step=2700, lr=0.189000, batch loss=0.205122, epoch loss=1.184997 Batch=359, step=2760, lr=0.188750, batch loss=0.292817, epoch loss=1.477814 Batch=419, step=2820, lr=0.188500, batch loss=0.283486, epoch loss=1.761300 Batch=479, step=2880, lr=0.188250, batch loss=0.263210, epoch loss=2.024510 Batch=539, step=2940, lr=0.188000, batch loss=0.198814, epoch loss=2.223324 Batch=599, step=3000, lr=0.187750, batch loss=0.237463, epoch loss=2.460787 Batch=659, step=3060, lr=0.187250, batch loss=0.343213, epoch loss=2.804000 Batch=719, step=3120, lr=0.187250, batch loss=0.345520, epoch loss=3.149521 Batch=779, step=3180, lr=0.187000, batch loss=0.366882, epoch loss=3.516402 Batch=839, step=3240, lr=0.186750, batch loss=0.323135, epoch loss=3.839537 Batch=899, step=3300, lr=0.186500, batch loss=0.285082, epoch loss=4.124619 Batch=959, step=3360, lr=0.186250, batch loss=0.214507, epoch loss=4.339126 Batch=1019, step=3420, lr=0.186000, batch loss=0.303848, epoch loss=4.642974 Batch=1079, step=3480, lr=0.185750, batch loss=0.172845, epoch loss=4.815818 Batch=1139, step=3540, lr=0.185500, batch loss=0.228721, epoch loss=5.044540 Batch=1199, step=3600, lr=0.185250, batch loss=0.200771, epoch loss=5.245311 Epoch=2, step=3600, lr=0.185250, epoch loss=5.245311 Batch=59, step=3660, lr=0.185000, batch loss=0.238680, epoch loss=0.238680 Batch=119, step=3720, lr=0.184750, batch loss=0.211281, epoch loss=0.449960 Batch=179, step=3780, lr=0.184500, batch loss=0.210437, epoch loss=0.660397 Batch=239, step=3840, lr=0.184250, batch loss=0.316492, epoch loss=0.976889 Batch=299, step=3900, lr=0.184000, batch loss=0.203283, epoch loss=1.180173 Batch=359, step=3960, lr=0.183750, batch loss=0.283394, epoch loss=1.463566 Batch=419, step=4020, lr=0.183500, batch loss=0.272016, epoch loss=1.735583 Batch=479, step=4080, lr=0.183250, batch loss=0.247966, epoch loss=1.983549 Batch=539, step=4140, lr=0.183000, batch loss=0.197169, epoch loss=2.180717 Batch=599, step=4200, lr=0.182750, batch loss=0.251139, epoch loss=2.431857 Batch=659, step=4260, lr=0.182500, batch loss=0.335508, epoch loss=2.767365 Batch=719, step=4320, lr=0.182250, batch loss=0.348076, epoch loss=3.115441 Batch=779, step=4380, lr=0.182000, batch loss=0.345764, epoch loss=3.461205 Batch=839, step=4440, lr=0.181750, batch loss=0.318272, epoch loss=3.779477 Batch=899, step=4500, lr=0.181500, batch loss=0.291278, epoch loss=4.070754 Batch=959, step=4560, lr=0.181250, batch loss=0.244507, epoch loss=4.315262 Batch=1019, step=4620, lr=0.181000, batch loss=0.340009, epoch loss=4.655271 Batch=1079, step=4680, lr=0.180750, batch loss=0.203340, epoch loss=4.858611 Batch=1139, step=4740, lr=0.180500, batch loss=0.251407, epoch loss=5.110018 Batch=1199, step=4800, lr=0.180000, batch loss=0.192370, epoch loss=5.302388 Epoch=3, step=4800, lr=0.180000, epoch loss=5.302388 Batch=59, step=4860, lr=0.180000, batch loss=0.225648, epoch loss=0.225648 Batch=119, step=4920, lr=0.179750, batch loss=0.191410, epoch loss=0.417058 Batch=179, step=4980, lr=0.179500, batch loss=0.205495, epoch loss=0.622554 Batch=239, step=5040, lr=0.179250, batch loss=0.307735, epoch loss=0.930289 Batch=299, step=5100, lr=0.179000, batch loss=0.207157, epoch loss=1.137446 Batch=359, step=5160, lr=0.178750, batch loss=0.274881, epoch loss=1.412327 Batch=419, step=5220, lr=0.178500, batch loss=0.268232, epoch loss=1.680558 Batch=479, step=5280, lr=0.178250, batch loss=0.246349, epoch loss=1.926907 Batch=539, step=5340, lr=0.178000, batch loss=0.192496, epoch loss=2.119403 Batch=599, step=5400, lr=0.177750, batch loss=0.228293, epoch loss=2.347696 Batch=659, step=5460, lr=0.177500, batch loss=0.325460, epoch loss=2.673155 Batch=719, step=5520, lr=0.177250, batch loss=0.325585, epoch loss=2.998740 Batch=779, step=5580, lr=0.177000, batch loss=0.340595, epoch loss=3.339335 Batch=839, step=5640, lr=0.176750, batch loss=0.313086, epoch loss=3.652422 Batch=899, step=5700, lr=0.176500, batch loss=0.275079, epoch loss=3.927501 Batch=959, step=5760, lr=0.176250, batch loss=0.212695, epoch loss=4.140196 Batch=1019, step=5820, lr=0.175750, batch loss=0.336574, epoch loss=4.476770 Batch=1079, step=5880, lr=0.175750, batch loss=0.188554, epoch loss=4.665324 Batch=1139, step=5940, lr=0.175500, batch loss=0.221153, epoch loss=4.886477 Batch=1199, step=6000, lr=0.175250, batch loss=0.186585, epoch loss=5.073062 Epoch=4, step=6000, lr=0.175250, epoch loss=5.073062 Batch=59, step=6060, lr=0.175000, batch loss=0.232182, epoch loss=0.232182 Batch=119, step=6120, lr=0.174750, batch loss=0.192720, epoch loss=0.424903 Batch=179, step=6180, lr=0.174500, batch loss=0.201793, epoch loss=0.626695 Batch=239, step=6240, lr=0.174000, batch loss=0.298471, epoch loss=0.925166 Batch=299, step=6300, lr=0.173750, batch loss=0.198635, epoch loss=1.123801 Batch=359, step=6360, lr=0.173500, batch loss=0.264894, epoch loss=1.388695 Batch=419, step=6420, lr=0.173500, batch loss=0.257536, epoch loss=1.646231 Batch=479, step=6480, lr=0.173250, batch loss=0.234615, epoch loss=1.880847 Batch=539, step=6540, lr=0.173000, batch loss=0.190307, epoch loss=2.071154 Batch=599, step=6600, lr=0.172750, batch loss=0.232424, epoch loss=2.303578 Batch=659, step=6660, lr=0.172500, batch loss=0.313292, epoch loss=2.616870 Batch=719, step=6720, lr=0.172250, batch loss=0.317397, epoch loss=2.934267 Batch=779, step=6780, lr=0.171750, batch loss=0.330921, epoch loss=3.265189 Batch=839, step=6840, lr=0.171750, batch loss=0.304811, epoch loss=3.569999 Batch=899, step=6900, lr=0.171250, batch loss=0.265679, epoch loss=3.835679 Batch=959, step=6960, lr=0.171000, batch loss=0.216859, epoch loss=4.052538 Batch=1019, step=7020, lr=0.170750, batch loss=0.323751, epoch loss=4.376288 Batch=1079, step=7080, lr=0.170500, batch loss=0.180636, epoch loss=4.556924 Batch=1139, step=7140, lr=0.170250, batch loss=0.216785, epoch loss=4.773709 Batch=1199, step=7200, lr=0.170000, batch loss=0.182627, epoch loss=4.956337 Epoch=5, step=7200, lr=0.170000, epoch loss=4.956337 Batch=59, step=7260, lr=0.170000, batch loss=0.240374, epoch loss=0.240374 Batch=119, step=7320, lr=0.169500, batch loss=0.179833, epoch loss=0.420208 Batch=179, step=7380, lr=0.169500, batch loss=0.195001, epoch loss=0.615209 Batch=239, step=7440, lr=0.169250, batch loss=0.290406, epoch loss=0.905615 Batch=299, step=7500, lr=0.169000, batch loss=0.197401, epoch loss=1.103016 Batch=359, step=7560, lr=0.168500, batch loss=0.255051, epoch loss=1.358066 Batch=419, step=7620, lr=0.168500, batch loss=0.249426, epoch loss=1.607492 Batch=479, step=7680, lr=0.168000, batch loss=0.224860, epoch loss=1.832352 Batch=539, step=7740, lr=0.167750, batch loss=0.184512, epoch loss=2.016864 Batch=599, step=7800, lr=0.167750, batch loss=0.218833, epoch loss=2.235697 Batch=659, step=7860, lr=0.167250, batch loss=0.306900, epoch loss=2.542597 Batch=719, step=7920, lr=0.167250, batch loss=0.304336, epoch loss=2.846933 Batch=779, step=7980, lr=0.166750, batch loss=0.322758, epoch loss=3.169691 Batch=839, step=8040, lr=0.166750, batch loss=0.293932, epoch loss=3.463622 Batch=899, step=8100, lr=0.166500, batch loss=0.260720, epoch loss=3.724343 Batch=959, step=8160, lr=0.166250, batch loss=0.201995, epoch loss=3.926338 Batch=1019, step=8220, lr=0.166000, batch loss=0.328048, epoch loss=4.254385 Batch=1079, step=8280, lr=0.165750, batch loss=0.201149, epoch loss=4.455534 Batch=1139, step=8340, lr=0.165500, batch loss=0.224902, epoch loss=4.680436 Batch=1199, step=8400, lr=0.165250, batch loss=0.175331, epoch loss=4.855766 Epoch=6, step=8400, lr=0.165250, epoch loss=4.855766 Batch=59, step=8460, lr=0.165000, batch loss=0.215164, epoch loss=0.215164 Batch=119, step=8520, lr=0.164750, batch loss=0.183373, epoch loss=0.398537 Batch=179, step=8580, lr=0.164500, batch loss=0.188558, epoch loss=0.587094 Batch=239, step=8640, lr=0.164250, batch loss=0.277040, epoch loss=0.864135 Batch=299, step=8700, lr=0.163750, batch loss=0.194701, epoch loss=1.058835 Batch=359, step=8760, lr=0.163750, batch loss=0.254055, epoch loss=1.312890 Batch=419, step=8820, lr=0.163500, batch loss=0.247277, epoch loss=1.560167 Batch=479, step=8880, lr=0.163250, batch loss=0.226652, epoch loss=1.786819 Batch=539, step=8940, lr=0.163000, batch loss=0.181235, epoch loss=1.968054 Batch=599, step=9000, lr=0.162750, batch loss=0.215267, epoch loss=2.183321 Batch=659, step=9060, lr=0.162500, batch loss=0.293999, epoch loss=2.477320 Batch=719, step=9120, lr=0.162250, batch loss=0.294030, epoch loss=2.771350 Batch=779, step=9180, lr=0.162000, batch loss=0.315461, epoch loss=3.086811 Batch=839, step=9240, lr=0.161750, batch loss=0.286583, epoch loss=3.373394 Batch=899, step=9300, lr=0.161500, batch loss=0.251602, epoch loss=3.624996 Batch=959, step=9360, lr=0.161250, batch loss=0.188928, epoch loss=3.813924 Batch=1019, step=9420, lr=0.161000, batch loss=0.317450, epoch loss=4.131374 Batch=1079, step=9480, lr=0.160750, batch loss=0.200055, epoch loss=4.331429 Batch=1139, step=9540, lr=0.160500, batch loss=0.211772, epoch loss=4.543201 Batch=1199, step=9600, lr=0.160250, batch loss=0.168089, epoch loss=4.711290 Epoch=7, step=9600, lr=0.160250, epoch loss=4.711290 Batch=59, step=9660, lr=0.160000, batch loss=0.199987, epoch loss=0.199987 Batch=119, step=9720, lr=0.159750, batch loss=0.165314, epoch loss=0.365301 Batch=179, step=9780, lr=0.159500, batch loss=0.178233, epoch loss=0.543534 Batch=239, step=9840, lr=0.159250, batch loss=0.262137, epoch loss=0.805670 Batch=299, step=9900, lr=0.159000, batch loss=0.183355, epoch loss=0.989026 Batch=359, step=9960, lr=0.158500, batch loss=0.239887, epoch loss=1.228913 Batch=419, step=10020, lr=0.158250, batch loss=0.233605, epoch loss=1.462518 Batch=479, step=10080, lr=0.158250, batch loss=0.213000, epoch loss=1.675517 Batch=539, step=10140, lr=0.157750, batch loss=0.173070, epoch loss=1.848587 Batch=599, step=10200, lr=0.157750, batch loss=0.200721, epoch loss=2.049308 Batch=659, step=10260, lr=0.157500, batch loss=0.282632, epoch loss=2.331940 Batch=719, step=10320, lr=0.157250, batch loss=0.284473, epoch loss=2.616414 Batch=779, step=10380, lr=0.157000, batch loss=0.296687, epoch loss=2.913101 Batch=839, step=10440, lr=0.156750, batch loss=0.272528, epoch loss=3.185628 Batch=899, step=10500, lr=0.156500, batch loss=0.237627, epoch loss=3.423255 Batch=959, step=10560, lr=0.156250, batch loss=0.179038, epoch loss=3.602293 Batch=1019, step=10620, lr=0.156000, batch loss=0.299814, epoch loss=3.902107 Batch=1079, step=10680, lr=0.155750, batch loss=0.176813, epoch loss=4.078920 Batch=1139, step=10740, lr=0.155500, batch loss=0.199778, epoch loss=4.278698 Batch=1199, step=10800, lr=0.155250, batch loss=0.155009, epoch loss=4.433707 Epoch=8, step=10800, lr=0.155250, epoch loss=4.433707 Batch=59, step=10860, lr=0.155000, batch loss=0.178490, epoch loss=0.178490 Batch=119, step=10920, lr=0.154750, batch loss=0.151242, epoch loss=0.329732 Batch=179, step=10980, lr=0.154500, batch loss=0.166773, epoch loss=0.496505 Batch=239, step=11040, lr=0.154250, batch loss=0.241537, epoch loss=0.738042 Batch=299, step=11100, lr=0.154000, batch loss=0.173124, epoch loss=0.911166 Batch=359, step=11160, lr=0.153750, batch loss=0.220517, epoch loss=1.131683 Batch=419, step=11220, lr=0.153500, batch loss=0.219393, epoch loss=1.351076 Batch=479, step=11280, lr=0.153250, batch loss=0.209668, epoch loss=1.560744 Batch=539, step=11340, lr=0.153000, batch loss=0.158870, epoch loss=1.719614 Batch=599, step=11400, lr=0.152750, batch loss=0.177574, epoch loss=1.897188 Batch=659, step=11460, lr=0.152500, batch loss=0.266817, epoch loss=2.164005 Batch=719, step=11520, lr=0.152250, batch loss=0.261085, epoch loss=2.425089 Batch=779, step=11580, lr=0.152000, batch loss=0.276065, epoch loss=2.701154 Batch=839, step=11640, lr=0.151750, batch loss=0.256758, epoch loss=2.957912 Batch=899, step=11700, lr=0.151500, batch loss=0.213972, epoch loss=3.171884 Batch=959, step=11760, lr=0.151250, batch loss=0.169860, epoch loss=3.341745 Batch=1019, step=11820, lr=0.151000, batch loss=0.269928, epoch loss=3.611672 Batch=1079, step=11880, lr=0.150750, batch loss=0.146659, epoch loss=3.758331 Batch=1139, step=11940, lr=0.150500, batch loss=0.187507, epoch loss=3.945839 Batch=1199, step=12000, lr=0.150250, batch loss=0.139663, epoch loss=4.085501 Epoch=9, step=12000, lr=0.150250, epoch loss=4.085501 Batch=59, step=12060, lr=0.150000, batch loss=0.163739, epoch loss=0.163739 Batch=119, step=12120, lr=0.149750, batch loss=0.135427, epoch loss=0.299165 Batch=179, step=12180, lr=0.149500, batch loss=0.153460, epoch loss=0.452626 Batch=239, step=12240, lr=0.149250, batch loss=0.224327, epoch loss=0.676953 Batch=299, step=12300, lr=0.149000, batch loss=0.141505, epoch loss=0.818458 Batch=359, step=12360, lr=0.148750, batch loss=0.197352, epoch loss=1.015809 Batch=419, step=12420, lr=0.148500, batch loss=0.206997, epoch loss=1.222807 Batch=479, step=12480, lr=0.148000, batch loss=0.180063, epoch loss=1.402870 Batch=539, step=12540, lr=0.148000, batch loss=0.142976, epoch loss=1.545846 Batch=599, step=12600, lr=0.147750, batch loss=0.150513, epoch loss=1.696359 Batch=659, step=12660, lr=0.147500, batch loss=0.227488, epoch loss=1.923847 Batch=719, step=12720, lr=0.147250, batch loss=0.237200, epoch loss=2.161047 Batch=779, step=12780, lr=0.147000, batch loss=0.265272, epoch loss=2.426319 Batch=839, step=12840, lr=0.146750, batch loss=0.235486, epoch loss=2.661805 Batch=899, step=12900, lr=0.146500, batch loss=0.215822, epoch loss=2.877627 Batch=959, step=12960, lr=0.146250, batch loss=0.155020, epoch loss=3.032647 Batch=1019, step=13020, lr=0.146000, batch loss=0.263600, epoch loss=3.296247 Batch=1079, step=13080, lr=0.145750, batch loss=0.114081, epoch loss=3.410328 Batch=1139, step=13140, lr=0.145500, batch loss=0.153818, epoch loss=3.564146 Batch=1199, step=13200, lr=0.145250, batch loss=0.119100, epoch loss=3.683247 Epoch=10, step=13200, lr=0.145250, epoch loss=3.683247 Batch=59, step=13260, lr=0.145000, batch loss=0.137655, epoch loss=0.137655 Batch=119, step=13320, lr=0.144750, batch loss=0.120303, epoch loss=0.257958 Batch=179, step=13380, lr=0.144500, batch loss=0.128345, epoch loss=0.386303 Batch=239, step=13440, lr=0.144250, batch loss=0.184001, epoch loss=0.570303 Batch=299, step=13500, lr=0.144000, batch loss=0.118407, epoch loss=0.688710 Batch=359, step=13560, lr=0.143750, batch loss=0.166181, epoch loss=0.854891 Batch=419, step=13620, lr=0.143500, batch loss=0.168360, epoch loss=1.023250 Batch=479, step=13680, lr=0.143250, batch loss=0.151477, epoch loss=1.174727 Batch=539, step=13740, lr=0.143000, batch loss=0.118233, epoch loss=1.292960 Batch=599, step=13800, lr=0.142750, batch loss=0.121870, epoch loss=1.414830 Batch=659, step=13860, lr=0.142500, batch loss=0.180190, epoch loss=1.595020 Batch=719, step=13920, lr=0.142250, batch loss=0.175526, epoch loss=1.770547 Batch=779, step=13980, lr=0.142000, batch loss=0.184879, epoch loss=1.955426 Batch=839, step=14040, lr=0.141500, batch loss=0.199466, epoch loss=2.154892 Batch=899, step=14100, lr=0.141500, batch loss=0.207097, epoch loss=2.361989 Batch=959, step=14160, lr=0.141250, batch loss=0.115019, epoch loss=2.477008 Batch=1019, step=14220, lr=0.141000, batch loss=0.196710, epoch loss=2.673718 Batch=1079, step=14280, lr=0.140500, batch loss=0.082370, epoch loss=2.756088 Batch=1139, step=14340, lr=0.140500, batch loss=0.127643, epoch loss=2.883732 Batch=1199, step=14400, lr=0.140250, batch loss=0.087694, epoch loss=2.971425 Epoch=11, step=14400, lr=0.140250, epoch loss=2.971425 Batch=59, step=14460, lr=0.140000, batch loss=0.109768, epoch loss=0.109768 Batch=119, step=14520, lr=0.139750, batch loss=0.104935, epoch loss=0.214704 Batch=179, step=14580, lr=0.139500, batch loss=0.102250, epoch loss=0.316953 Batch=239, step=14640, lr=0.139250, batch loss=0.143528, epoch loss=0.460482 Batch=299, step=14700, lr=0.139000, batch loss=0.078021, epoch loss=0.538502 Batch=359, step=14760, lr=0.138750, batch loss=0.121558, epoch loss=0.660060 Batch=419, step=14820, lr=0.138500, batch loss=0.131959, epoch loss=0.792019 Batch=479, step=14880, lr=0.138250, batch loss=0.103678, epoch loss=0.895697 Batch=539, step=14940, lr=0.138000, batch loss=0.110464, epoch loss=1.006161 Batch=599, step=15000, lr=0.137750, batch loss=0.085924, epoch loss=1.092085 Batch=659, step=15060, lr=0.137500, batch loss=0.135946, epoch loss=1.228032 Batch=719, step=15120, lr=0.137250, batch loss=0.171119, epoch loss=1.399150 Batch=779, step=15180, lr=0.137000, batch loss=0.296290, epoch loss=1.695440 Batch=839, step=15240, lr=0.136750, batch loss=0.134262, epoch loss=1.829703 Batch=899, step=15300, lr=0.136500, batch loss=0.117028, epoch loss=1.946731 Batch=959, step=15360, lr=0.136250, batch loss=0.102314, epoch loss=2.049045 Batch=1019, step=15420, lr=0.136000, batch loss=0.168418, epoch loss=2.217463 Batch=1079, step=15480, lr=0.135750, batch loss=0.043409, epoch loss=2.260872 Batch=1139, step=15540, lr=0.135500, batch loss=0.101536, epoch loss=2.362408 Batch=1199, step=15600, lr=0.135250, batch loss=0.059614, epoch loss=2.422022 Epoch=12, step=15600, lr=0.135250, epoch loss=2.422022 Batch=59, step=15660, lr=0.135000, batch loss=0.075257, epoch loss=0.075257 Batch=119, step=15720, lr=0.134750, batch loss=0.108864, epoch loss=0.184120 Batch=179, step=15780, lr=0.134500, batch loss=0.089069, epoch loss=0.273190 Batch=239, step=15840, lr=0.134250, batch loss=0.095051, epoch loss=0.368241 Batch=299, step=15900, lr=0.134000, batch loss=0.041634, epoch loss=0.409875 Batch=359, step=15960, lr=0.133750, batch loss=0.080150, epoch loss=0.490025 Batch=419, step=16020, lr=0.133500, batch loss=0.086103, epoch loss=0.576129 Batch=479, step=16080, lr=0.133250, batch loss=0.070269, epoch loss=0.646397 Batch=539, step=16140, lr=0.133000, batch loss=0.055267, epoch loss=0.701664 Batch=599, step=16200, lr=0.132750, batch loss=0.099689, epoch loss=0.801353 Batch=659, step=16260, lr=0.132500, batch loss=0.078730, epoch loss=0.880083 Batch=719, step=16320, lr=0.132250, batch loss=0.078754, epoch loss=0.958837 Batch=779, step=16380, lr=0.132000, batch loss=0.098066, epoch loss=1.056903 Batch=839, step=16440, lr=0.131750, batch loss=0.139735, epoch loss=1.196638 Batch=899, step=16500, lr=0.131500, batch loss=0.215207, epoch loss=1.411845 Batch=959, step=16560, lr=0.131250, batch loss=0.030854, epoch loss=1.442699 Batch=1019, step=16620, lr=0.131000, batch loss=0.060857, epoch loss=1.503556 Batch=1079, step=16680, lr=0.130750, batch loss=0.054172, epoch loss=1.557728 Batch=1139, step=16740, lr=0.130500, batch loss=0.098520, epoch loss=1.656248 Batch=1199, step=16800, lr=0.130250, batch loss=0.044014, epoch loss=1.700262 Epoch=13, step=16800, lr=0.130250, epoch loss=1.700262 Batch=59, step=16860, lr=0.130000, batch loss=0.035183, epoch loss=0.035183 Batch=119, step=16920, lr=0.129750, batch loss=0.035462, epoch loss=0.070645 Batch=179, step=16980, lr=0.129500, batch loss=0.043962, epoch loss=0.114607 Batch=239, step=17040, lr=0.129250, batch loss=0.059784, epoch loss=0.174391 Batch=299, step=17100, lr=0.129000, batch loss=0.019988, epoch loss=0.194379 Batch=359, step=17160, lr=0.128750, batch loss=0.042994, epoch loss=0.237373 Batch=419, step=17220, lr=0.128500, batch loss=0.044844, epoch loss=0.282217 Batch=479, step=17280, lr=0.128250, batch loss=0.024200, epoch loss=0.306417 Batch=539, step=17340, lr=0.128000, batch loss=0.029315, epoch loss=0.335732 Batch=599, step=17400, lr=0.127750, batch loss=0.035513, epoch loss=0.371245 Batch=659, step=17460, lr=0.127500, batch loss=0.050569, epoch loss=0.421814 Batch=719, step=17520, lr=0.127250, batch loss=0.061563, epoch loss=0.483377 Batch=779, step=17580, lr=0.127000, batch loss=0.071685, epoch loss=0.555062 Batch=839, step=17640, lr=0.126750, batch loss=0.132146, epoch loss=0.687208 Batch=899, step=17700, lr=0.126500, batch loss=0.069342, epoch loss=0.756550 Batch=959, step=17760, lr=0.126250, batch loss=0.034375, epoch loss=0.790925 Batch=1019, step=17820, lr=0.126000, batch loss=0.039960, epoch loss=0.830885 Batch=1079, step=17880, lr=0.125750, batch loss=0.019708, epoch loss=0.850592 Batch=1139, step=17940, lr=0.125500, batch loss=0.045036, epoch loss=0.895628 Batch=1199, step=18000, lr=0.125000, batch loss=0.017796, epoch loss=0.913424 Epoch=14, step=18000, lr=0.125000, epoch loss=0.913424 Batch=59, step=18060, lr=0.125000, batch loss=0.013815, epoch loss=0.013815 Batch=119, step=18120, lr=0.124750, batch loss=0.021335, epoch loss=0.035150 Batch=179, step=18180, lr=0.124500, batch loss=0.029263, epoch loss=0.064413 Batch=239, step=18240, lr=0.124250, batch loss=0.037949, epoch loss=0.102361 Batch=299, step=18300, lr=0.124000, batch loss=0.016465, epoch loss=0.118826 Batch=359, step=18360, lr=0.123500, batch loss=0.025281, epoch loss=0.144107 Batch=419, step=18420, lr=0.123500, batch loss=0.032327, epoch loss=0.176435 Batch=479, step=18480, lr=0.123250, batch loss=0.029849, epoch loss=0.206284 Batch=539, step=18540, lr=0.123000, batch loss=0.055020, epoch loss=0.261304 Batch=599, step=18600, lr=0.122750, batch loss=0.027507, epoch loss=0.288811 Batch=659, step=18660, lr=0.122500, batch loss=0.033393, epoch loss=0.322203 Batch=719, step=18720, lr=0.122250, batch loss=0.033909, epoch loss=0.356113 Batch=779, step=18780, lr=0.122000, batch loss=0.084887, epoch loss=0.440999 Batch=839, step=18840, lr=0.121750, batch loss=0.062260, epoch loss=0.503259 Batch=899, step=18900, lr=0.121500, batch loss=0.086476, epoch loss=0.589735 Batch=959, step=18960, lr=0.121250, batch loss=0.014124, epoch loss=0.603859 Batch=1019, step=19020, lr=0.121000, batch loss=0.019581, epoch loss=0.623440 Batch=1079, step=19080, lr=0.120750, batch loss=0.007872, epoch loss=0.631311 Batch=1139, step=19140, lr=0.120500, batch loss=0.024808, epoch loss=0.656119 Batch=1199, step=19200, lr=0.120250, batch loss=0.010813, epoch loss=0.666932 Epoch=15, step=19200, lr=0.120250, epoch loss=0.666932 Batch=59, step=19260, lr=0.120000, batch loss=0.005325, epoch loss=0.005325 Batch=119, step=19320, lr=0.119750, batch loss=0.016743, epoch loss=0.022067 Batch=179, step=19380, lr=0.119500, batch loss=0.033026, epoch loss=0.055093 Batch=239, step=19440, lr=0.119250, batch loss=0.022112, epoch loss=0.077205 Batch=299, step=19500, lr=0.119000, batch loss=0.005451, epoch loss=0.082656 Batch=359, step=19560, lr=0.118750, batch loss=0.017725, epoch loss=0.100381 Batch=419, step=19620, lr=0.118500, batch loss=0.020133, epoch loss=0.120514 Batch=479, step=19680, lr=0.118250, batch loss=0.009612, epoch loss=0.130127 Batch=539, step=19740, lr=0.118000, batch loss=0.020165, epoch loss=0.150292 Batch=599, step=19800, lr=0.117750, batch loss=0.020528, epoch loss=0.170819 Batch=659, step=19860, lr=0.117500, batch loss=0.022053, epoch loss=0.192873 Batch=719, step=19920, lr=0.117250, batch loss=0.015625, epoch loss=0.208498 Batch=779, step=19980, lr=0.117000, batch loss=0.017971, epoch loss=0.226469 Batch=839, step=20040, lr=0.116750, batch loss=0.031265, epoch loss=0.257734 Batch=899, step=20100, lr=0.116500, batch loss=0.031220, epoch loss=0.288955 Batch=959, step=20160, lr=0.116250, batch loss=0.011900, epoch loss=0.300855 Batch=1019, step=20220, lr=0.115750, batch loss=0.014940, epoch loss=0.315795 Batch=1079, step=20280, lr=0.115750, batch loss=0.005410, epoch loss=0.321205 Batch=1139, step=20340, lr=0.115500, batch loss=0.019582, epoch loss=0.340788 Batch=1199, step=20400, lr=0.115250, batch loss=0.007795, epoch loss=0.348582 Epoch=16, step=20400, lr=0.115250, epoch loss=0.348582 Batch=59, step=20460, lr=0.115000, batch loss=0.003766, epoch loss=0.003766 Batch=119, step=20520, lr=0.114750, batch loss=0.009710, epoch loss=0.013475 Batch=179, step=20580, lr=0.114500, batch loss=0.019929, epoch loss=0.033404 Batch=239, step=20640, lr=0.114250, batch loss=0.019815, epoch loss=0.053219 Batch=299, step=20700, lr=0.114000, batch loss=0.009517, epoch loss=0.062736 Batch=359, step=20760, lr=0.113750, batch loss=0.013967, epoch loss=0.076703 Batch=419, step=20820, lr=0.113500, batch loss=0.014484, epoch loss=0.091188 Batch=479, step=20880, lr=0.113250, batch loss=0.004123, epoch loss=0.095311 Batch=539, step=20940, lr=0.112750, batch loss=0.015680, epoch loss=0.110991 Batch=599, step=21000, lr=0.112500, batch loss=0.020365, epoch loss=0.131356 Batch=659, step=21060, lr=0.112500, batch loss=0.016642, epoch loss=0.147997 Batch=719, step=21120, lr=0.112250, batch loss=0.051994, epoch loss=0.199992 Batch=779, step=21180, lr=0.112000, batch loss=0.071238, epoch loss=0.271230 Batch=839, step=21240, lr=0.111750, batch loss=0.026449, epoch loss=0.297678 Batch=899, step=21300, lr=0.111500, batch loss=0.027790, epoch loss=0.325468 Batch=959, step=21360, lr=0.111250, batch loss=0.010276, epoch loss=0.335744 Batch=1019, step=21420, lr=0.111000, batch loss=0.010261, epoch loss=0.346005 Batch=1079, step=21480, lr=0.110750, batch loss=0.002468, epoch loss=0.348473 Batch=1139, step=21540, lr=0.110500, batch loss=0.012515, epoch loss=0.360987 Batch=1199, step=21600, lr=0.110250, batch loss=0.006239, epoch loss=0.367226 Epoch=17, step=21600, lr=0.110250, epoch loss=0.367226 Batch=59, step=21660, lr=0.110000, batch loss=0.002691, epoch loss=0.002691 Batch=119, step=21720, lr=0.109750, batch loss=0.007136, epoch loss=0.009827 Batch=179, step=21780, lr=0.109500, batch loss=0.014001, epoch loss=0.023828 Batch=239, step=21840, lr=0.109250, batch loss=0.010196, epoch loss=0.034024 Batch=299, step=21900, lr=0.109000, batch loss=0.009010, epoch loss=0.043033 Batch=359, step=21960, lr=0.108750, batch loss=0.016110, epoch loss=0.059143 Batch=419, step=22020, lr=0.108500, batch loss=0.013173, epoch loss=0.072317 Batch=479, step=22080, lr=0.108250, batch loss=0.003018, epoch loss=0.075335 Batch=539, step=22140, lr=0.108000, batch loss=0.019696, epoch loss=0.095030 Batch=599, step=22200, lr=0.107750, batch loss=0.019584, epoch loss=0.114615 Batch=659, step=22260, lr=0.107500, batch loss=0.013705, epoch loss=0.128319 Batch=719, step=22320, lr=0.107250, batch loss=0.031544, epoch loss=0.159863 Batch=779, step=22380, lr=0.107000, batch loss=0.050844, epoch loss=0.210707 Batch=839, step=22440, lr=0.106750, batch loss=0.022012, epoch loss=0.232719 Batch=899, step=22500, lr=0.106500, batch loss=0.022359, epoch loss=0.255078 Batch=959, step=22560, lr=0.106250, batch loss=0.010714, epoch loss=0.265792 Batch=1019, step=22620, lr=0.106000, batch loss=0.010599, epoch loss=0.276390 Batch=1079, step=22680, lr=0.105750, batch loss=0.000599, epoch loss=0.276990 Batch=1139, step=22740, lr=0.105500, batch loss=0.012032, epoch loss=0.289022 Batch=1199, step=22800, lr=0.105250, batch loss=0.004664, epoch loss=0.293686 Epoch=18, step=22800, lr=0.105250, epoch loss=0.293686 Batch=59, step=22860, lr=0.105000, batch loss=0.001780, epoch loss=0.001780 Batch=119, step=22920, lr=0.104750, batch loss=0.005939, epoch loss=0.007719 Batch=179, step=22980, lr=0.104500, batch loss=0.011164, epoch loss=0.018883 Batch=239, step=23040, lr=0.104250, batch loss=0.008690, epoch loss=0.027574 Batch=299, step=23100, lr=0.104000, batch loss=0.007631, epoch loss=0.035204 Batch=359, step=23160, lr=0.103750, batch loss=0.013896, epoch loss=0.049100 Batch=419, step=23220, lr=0.103500, batch loss=0.011180, epoch loss=0.060280 Batch=479, step=23280, lr=0.103250, batch loss=0.002601, epoch loss=0.062881 Batch=539, step=23340, lr=0.103000, batch loss=0.017556, epoch loss=0.080437 Batch=599, step=23400, lr=0.102750, batch loss=0.014540, epoch loss=0.094978 Batch=659, step=23460, lr=0.102500, batch loss=0.010760, epoch loss=0.105737 Batch=719, step=23520, lr=0.102000, batch loss=0.015176, epoch loss=0.120913 Batch=779, step=23580, lr=0.102000, batch loss=0.022180, epoch loss=0.143093 Batch=839, step=23640, lr=0.101750, batch loss=0.025393, epoch loss=0.168486 Batch=899, step=23700, lr=0.101500, batch loss=0.024271, epoch loss=0.192756 Batch=959, step=23760, lr=0.101250, batch loss=0.009075, epoch loss=0.201831 Batch=1019, step=23820, lr=0.101000, batch loss=0.008291, epoch loss=0.210123 Batch=1079, step=23880, lr=0.100750, batch loss=0.001197, epoch loss=0.211320 Batch=1139, step=23940, lr=0.100500, batch loss=0.009657, epoch loss=0.220978 Batch=1199, step=24000, lr=0.100250, batch loss=0.005115, epoch loss=0.226092 Epoch=19, step=24000, lr=0.100250, epoch loss=0.226092 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 10:52.39: Job failed: Failed: Build failed