2025-05-15 20:27.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (41a9d1e5f397edec7b8eef338a671210d4e6f970) (linux-x86_64:fedora-42-5.3_opam-2.3) Base: ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 41a9d1e5 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 2025-05-15 20:27.23: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-15 20:27.23: Using OBuilder spec: ((from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) (comment fedora-42-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-15 20:27.23: Waiting for resource in pool OCluster 2025-05-15 20:27.23: Waiting for worker… 2025-05-15 20:30.23: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at 9156a204 Logging test harness HEAD is now at 41a9d1e5 Unified logging for C_syntax, refactored by Gemini CUDA and Metal in-progress / broken: unfinished and potentially buggy. (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-15 20:31.41 ---> saved as "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" /: (comment fedora-42-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 42 - x86_64 - Updates 100% | 55.7 KiB/s | 23.7 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 1.6 MiB/s | 2.7 MiB | 00m02s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-15 20:31.48 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-15 20:31.49 ---> saved as "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-15 20:32.45 ---> 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 2025-05-15 20:32.47 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-15 20:32.47 ---> saved as "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-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) 2025-05-15 20:33.29 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-15 20:33.29 ---> saved as "488e452321e667b2c669dfc12a8ada5a6310bbee470acf388851e055b66a2173" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-15 20:33.33 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-15 20:33.33 ---> saved as "5a4511450e9e99a38c72c663d411bec8074130faebe05d7fce0da8e8c5c58f5f" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/sbin/sudo "yum" "makecache" - Updating and loading repositories: - Repositories loaded. - Metadata cache created. <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/sbin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-5.fc42 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-5.fc42.x86_6 100% | 118.4 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 27.1 KiB/s | 28.8 KiB | 00m01s - Running transaction - [1/3] Verify package files 100% | 111.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 20.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 351.4 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-15 20:34.02 ---> saved as "1386309c1462d1dcd62997026eeace65f0e381655874263b8a00df6fbb6f08f5" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed fmt.0.10.0 -> installed mtime.2.1.0 -> installed astring.0.8.5 -> installed ptime.1.2.0 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed ocaml-syntax-shims.1.0.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-15 20:37.44 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f" /src: (copy (src .) (dst /src)) 2025-05-15 20:37.45 ---> saved as "ba5d9b5ae5556ddc7b87a73d359e20a45c271ad2cf17b5b6218d7c9617c8a63e" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_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/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d23771979b1c08c363df5fa35b07e378/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-41, characters 0-727: 19 | (rule 20 | (target 21 | (dir log_files)) .... 39 | "\\1[0]{=MAYBE UNINITIALIZED} = " 40 | "log_files/micrograd_demo_logging-g_gradient_update.log" 41 | "log_files/micrograd_demo_logging-g_gradient_update.log")))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_routine_files=overwrite) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found 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_debug_log_to_routine_files Found overwrite, commandline --ocannl_debug_log_to_routine_files=overwrite 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/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97a7ba9112995e770d50bb9550ca52f8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_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 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_debug_log_to_routine_files Not found, using default no Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.197750, batch loss=0.690502, epoch loss=40.449821 Batch=599, step=600, lr=0.197750, batch loss=1.100005, epoch loss=41.549826 Batch=659, step=660, lr=0.197500, batch loss=0.482082, epoch loss=42.031908 Batch=719, step=720, lr=0.197250, batch loss=0.410668, epoch loss=42.442575 Batch=779, step=780, lr=0.197000, batch loss=0.468841, epoch loss=42.911417 Batch=839, step=840, lr=0.196500, batch loss=0.450550, epoch loss=43.361967 Batch=899, step=900, lr=0.196250, batch loss=0.383697, epoch loss=43.745664 Batch=959, step=960, lr=0.196000, batch loss=0.267105, epoch loss=44.012769 Batch=1019, step=1020, lr=0.196000, batch loss=0.488639, epoch loss=44.501408 Batch=1079, step=1080, lr=0.195750, batch loss=0.264087, epoch loss=44.765495 Batch=1139, step=1140, lr=0.195250, batch loss=0.331723, epoch loss=45.097217 Batch=1199, step=1200, lr=0.195000, batch loss=0.264899, epoch loss=45.362116 Epoch=0, step=1200, lr=0.195000, epoch loss=45.362116 Batch=59, step=1260, lr=0.195000, batch loss=0.263122, epoch loss=0.263122 Batch=119, step=1320, lr=0.194750, batch loss=0.203714, epoch loss=0.466836 Batch=179, step=1380, lr=0.194500, batch loss=0.247150, epoch loss=0.713986 Batch=239, step=1440, lr=0.194250, batch loss=0.350154, epoch loss=1.064140 Batch=299, step=1500, lr=0.194000, batch loss=0.238938, epoch loss=1.303079 Batch=359, step=1560, lr=0.193750, batch loss=0.317311, epoch loss=1.620389 Batch=419, step=1620, lr=0.193500, batch loss=0.313265, epoch loss=1.933654 Batch=479, step=1680, lr=0.193000, batch loss=0.276250, epoch loss=2.209904 Batch=539, step=1740, lr=0.193000, batch loss=0.210235, epoch loss=2.420140 Batch=599, step=1800, lr=0.192750, batch loss=0.245029, epoch loss=2.665168 Batch=659, step=1860, lr=0.192500, batch loss=0.358405, epoch loss=3.023573 Batch=719, step=1920, lr=0.192250, batch loss=0.354780, epoch loss=3.378354 Batch=779, step=1980, lr=0.192000, batch loss=0.377795, epoch loss=3.756148 Batch=839, step=2040, lr=0.191750, batch loss=0.341188, epoch loss=4.097336 Batch=899, step=2100, lr=0.191500, batch loss=0.295905, epoch loss=4.393241 Batch=959, step=2160, lr=0.191250, batch loss=0.215334, epoch loss=4.608575 Batch=1019, step=2220, lr=0.191000, batch loss=0.328042, epoch loss=4.936617 Batch=1079, step=2280, lr=0.190750, batch loss=0.195768, epoch loss=5.132384 Batch=1139, step=2340, lr=0.190500, batch loss=0.256787, epoch loss=5.389171 Batch=1199, step=2400, lr=0.190250, batch loss=0.212129, epoch loss=5.601300 Epoch=1, step=2400, lr=0.190250, epoch loss=5.601300 Batch=59, step=2460, lr=0.190000, batch loss=0.230780, epoch loss=0.230780 Batch=119, step=2520, lr=0.189750, batch loss=0.198951, epoch loss=0.429731 Batch=179, step=2580, lr=0.189500, batch loss=0.219786, epoch loss=0.649517 Batch=239, step=2640, lr=0.189250, batch loss=0.328451, epoch loss=0.977968 Batch=299, step=2700, lr=0.189000, batch loss=0.206597, epoch loss=1.184565 Batch=359, step=2760, lr=0.188750, batch loss=0.291654, epoch loss=1.476219 Batch=419, step=2820, lr=0.188500, batch loss=0.282498, epoch loss=1.758717 Batch=479, step=2880, lr=0.188250, batch loss=0.259178, epoch loss=2.017894 Batch=539, step=2940, lr=0.188000, batch loss=0.198111, epoch loss=2.216005 Batch=599, step=3000, lr=0.187750, batch loss=0.243549, epoch loss=2.459555 Batch=659, step=3060, lr=0.187500, batch loss=0.350424, epoch loss=2.809979 Batch=719, step=3120, lr=0.187250, batch loss=0.347558, epoch loss=3.157537 Batch=779, step=3180, lr=0.187000, batch loss=0.365657, epoch loss=3.523195 Batch=839, step=3240, lr=0.186750, batch loss=0.324429, epoch loss=3.847623 Batch=899, step=3300, lr=0.186500, batch loss=0.290901, epoch loss=4.138524 Batch=959, step=3360, lr=0.186250, batch loss=0.235434, epoch loss=4.373957 Batch=1019, step=3420, lr=0.186000, batch loss=0.367537, epoch loss=4.741495 Batch=1079, step=3480, lr=0.185750, batch loss=0.231944, epoch loss=4.973439 Batch=1139, step=3540, lr=0.185500, batch loss=0.264163, epoch loss=5.237602 Batch=1199, step=3600, lr=0.185250, batch loss=0.201681, epoch loss=5.439283 Epoch=2, step=3600, lr=0.185250, epoch loss=5.439283 Batch=59, step=3660, lr=0.185000, batch loss=0.222708, epoch loss=0.222708 Batch=119, step=3720, lr=0.184750, batch loss=0.185818, epoch loss=0.408526 Batch=179, step=3780, lr=0.184500, batch loss=0.212485, epoch loss=0.621011 Batch=239, step=3840, lr=0.184250, batch loss=0.316678, epoch loss=0.937689 Batch=299, step=3900, lr=0.184000, batch loss=0.206075, epoch loss=1.143764 Batch=359, step=3960, lr=0.183750, batch loss=0.288141, epoch loss=1.431905 Batch=419, step=4020, lr=0.183500, batch loss=0.280347, epoch loss=1.712252 Batch=479, step=4080, lr=0.183250, batch loss=0.254896, epoch loss=1.967147 Batch=539, step=4140, lr=0.183000, batch loss=0.194799, epoch loss=2.161947 Batch=599, step=4200, lr=0.182750, batch loss=0.231397, epoch loss=2.393344 Batch=659, step=4260, lr=0.182500, batch loss=0.338103, epoch loss=2.731447 Batch=719, step=4320, lr=0.182250, batch loss=0.349267, epoch loss=3.080714 Batch=779, step=4380, lr=0.182000, batch loss=0.348388, epoch loss=3.429102 Batch=839, step=4440, lr=0.181750, batch loss=0.319078, epoch loss=3.748180 Batch=899, step=4500, lr=0.181500, batch loss=0.294454, epoch loss=4.042634 Batch=959, step=4560, lr=0.181250, batch loss=0.241659, epoch loss=4.284293 Batch=1019, step=4620, lr=0.181000, batch loss=0.345248, epoch loss=4.629541 Batch=1079, step=4680, lr=0.180500, batch loss=0.217037, epoch loss=4.846578 Batch=1139, step=4740, lr=0.180500, batch loss=0.250004, epoch loss=5.096582 Batch=1199, step=4800, lr=0.180250, batch loss=0.191853, epoch loss=5.288435 Epoch=3, step=4800, lr=0.180250, epoch loss=5.288435 Batch=59, step=4860, lr=0.180000, batch loss=0.227874, epoch loss=0.227874 Batch=119, step=4920, lr=0.179750, batch loss=0.190603, epoch loss=0.418477 Batch=179, step=4980, lr=0.179500, batch loss=0.207864, epoch loss=0.626341 Batch=239, step=5040, lr=0.179250, batch loss=0.308387, epoch loss=0.934728 Batch=299, step=5100, lr=0.179000, batch loss=0.201682, epoch loss=1.136410 Batch=359, step=5160, lr=0.178750, batch loss=0.274867, epoch loss=1.411277 Batch=419, step=5220, lr=0.178500, batch loss=0.265733, epoch loss=1.677010 Batch=479, step=5280, lr=0.178250, batch loss=0.240265, epoch loss=1.917275 Batch=539, step=5340, lr=0.178000, batch loss=0.191718, epoch loss=2.108993 Batch=599, step=5400, lr=0.177750, batch loss=0.229586, epoch loss=2.338578 Batch=659, step=5460, lr=0.177500, batch loss=0.327917, epoch loss=2.666495 Batch=719, step=5520, lr=0.177250, batch loss=0.334005, epoch loss=3.000500 Batch=779, step=5580, lr=0.177000, batch loss=0.344363, epoch loss=3.344863 Batch=839, step=5640, lr=0.176750, batch loss=0.310068, epoch loss=3.654931 Batch=899, step=5700, lr=0.176500, batch loss=0.273853, epoch loss=3.928784 Batch=959, step=5760, lr=0.176250, batch loss=0.213622, epoch loss=4.142406 Batch=1019, step=5820, lr=0.176000, batch loss=0.339243, epoch loss=4.481649 Batch=1079, step=5880, lr=0.175750, batch loss=0.204749, epoch loss=4.686399 Batch=1139, step=5940, lr=0.175500, batch loss=0.240110, epoch loss=4.926508 Batch=1199, step=6000, lr=0.175250, batch loss=0.187620, epoch loss=5.114129 Epoch=4, step=6000, lr=0.175250, epoch loss=5.114129 Batch=59, step=6060, lr=0.175000, batch loss=0.230311, epoch loss=0.230311 Batch=119, step=6120, lr=0.174750, batch loss=0.187870, epoch loss=0.418181 Batch=179, step=6180, lr=0.174500, batch loss=0.202806, epoch loss=0.620987 Batch=239, step=6240, lr=0.174000, batch loss=0.300006, epoch loss=0.920993 Batch=299, step=6300, lr=0.174000, batch loss=0.200965, epoch loss=1.121957 Batch=359, step=6360, lr=0.173750, batch loss=0.264012, epoch loss=1.385969 Batch=419, step=6420, lr=0.173500, batch loss=0.258982, epoch loss=1.644951 Batch=479, step=6480, lr=0.173250, batch loss=0.234671, epoch loss=1.879622 Batch=539, step=6540, lr=0.173000, batch loss=0.186707, epoch loss=2.066329 Batch=599, step=6600, lr=0.172750, batch loss=0.230390, epoch loss=2.296719 Batch=659, step=6660, lr=0.172250, batch loss=0.315534, epoch loss=2.612253 Batch=719, step=6720, lr=0.172250, batch loss=0.314995, epoch loss=2.927248 Batch=779, step=6780, lr=0.172000, batch loss=0.331991, epoch loss=3.259239 Batch=839, step=6840, lr=0.171500, batch loss=0.304464, epoch loss=3.563703 Batch=899, step=6900, lr=0.171250, batch loss=0.266262, epoch loss=3.829965 Batch=959, step=6960, lr=0.171000, batch loss=0.212923, epoch loss=4.042888 Batch=1019, step=7020, lr=0.170750, batch loss=0.327726, epoch loss=4.370614 Batch=1079, step=7080, lr=0.170500, batch loss=0.184418, epoch loss=4.555032 Batch=1139, step=7140, lr=0.170250, batch loss=0.215872, epoch loss=4.770904 Batch=1199, step=7200, lr=0.170250, batch loss=0.181865, epoch loss=4.952769 Epoch=5, step=7200, lr=0.170250, epoch loss=4.952769 Batch=59, step=7260, lr=0.169750, batch loss=0.236766, epoch loss=0.236766 Batch=119, step=7320, lr=0.169500, batch loss=0.182464, epoch loss=0.419229 Batch=179, step=7380, lr=0.169500, batch loss=0.195618, epoch loss=0.614848 Batch=239, step=7440, lr=0.169000, batch loss=0.292811, epoch loss=0.907659 Batch=299, step=7500, lr=0.169000, batch loss=0.207326, epoch loss=1.114985 Batch=359, step=7560, lr=0.168500, batch loss=0.262379, epoch loss=1.377364 Batch=419, step=7620, lr=0.168500, batch loss=0.255331, epoch loss=1.632694 Batch=479, step=7680, lr=0.168000, batch loss=0.239949, epoch loss=1.872644 Batch=539, step=7740, lr=0.168000, batch loss=0.185338, epoch loss=2.057982 Batch=599, step=7800, lr=0.167750, batch loss=0.226059, epoch loss=2.284041 Batch=659, step=7860, lr=0.167250, batch loss=0.304859, epoch loss=2.588899 Batch=719, step=7920, lr=0.167250, batch loss=0.310367, epoch loss=2.899266 Batch=779, step=7980, lr=0.166750, batch loss=0.330246, epoch loss=3.229512 Batch=839, step=8040, lr=0.166500, batch loss=0.291754, epoch loss=3.521266 Batch=899, step=8100, lr=0.166250, batch loss=0.258844, epoch loss=3.780110 Batch=959, step=8160, lr=0.166000, batch loss=0.203888, epoch loss=3.983998 Batch=1019, step=8220, lr=0.165750, batch loss=0.321377, epoch loss=4.305376 Batch=1079, step=8280, lr=0.165750, batch loss=0.180275, epoch loss=4.485651 Batch=1139, step=8340, lr=0.165500, batch loss=0.211857, epoch loss=4.697507 Batch=1199, step=8400, lr=0.165250, batch loss=0.179430, epoch loss=4.876938 Epoch=6, step=8400, lr=0.165250, epoch loss=4.876938 Batch=59, step=8460, lr=0.165000, batch loss=0.225987, epoch loss=0.225987 Batch=119, step=8520, lr=0.164750, batch loss=0.177923, epoch loss=0.403909 Batch=179, step=8580, lr=0.164250, batch loss=0.189004, epoch loss=0.592913 Batch=239, step=8640, lr=0.164000, batch loss=0.280300, epoch loss=0.873214 Batch=299, step=8700, lr=0.163750, batch loss=0.192255, epoch loss=1.065469 Batch=359, step=8760, lr=0.163500, batch loss=0.248501, epoch loss=1.313970 Batch=419, step=8820, lr=0.163250, batch loss=0.245886, epoch loss=1.559856 Batch=479, step=8880, lr=0.163250, batch loss=0.227513, epoch loss=1.787369 Batch=539, step=8940, lr=0.163000, batch loss=0.180875, epoch loss=1.968243 Batch=599, step=9000, lr=0.162750, batch loss=0.216359, epoch loss=2.184602 Batch=659, step=9060, lr=0.162250, batch loss=0.295070, epoch loss=2.479673 Batch=719, step=9120, lr=0.162000, batch loss=0.295437, epoch loss=2.775109 Batch=779, step=9180, lr=0.161750, batch loss=0.316708, epoch loss=3.091818 Batch=839, step=9240, lr=0.161500, batch loss=0.285238, epoch loss=3.377056 Batch=899, step=9300, lr=0.161250, batch loss=0.253650, epoch loss=3.630706 Batch=959, step=9360, lr=0.161000, batch loss=0.212845, epoch loss=3.843551 Batch=1019, step=9420, lr=0.160750, batch loss=0.298521, epoch loss=4.142072 Batch=1079, step=9480, lr=0.160750, batch loss=0.178207, epoch loss=4.320279 Batch=1139, step=9540, lr=0.160250, batch loss=0.204339, epoch loss=4.524617 Batch=1199, step=9600, lr=0.160000, batch loss=0.164609, epoch loss=4.689226 Epoch=7, step=9600, lr=0.160000, epoch loss=4.689226 Batch=59, step=9660, lr=0.159750, batch loss=0.197586, epoch loss=0.197586 Batch=119, step=9720, lr=0.159750, batch loss=0.166136, epoch loss=0.363723 Batch=179, step=9780, lr=0.159250, batch loss=0.179488, epoch loss=0.543210 Batch=239, step=9840, lr=0.159250, batch loss=0.261808, epoch loss=0.805018 Batch=299, step=9900, lr=0.159000, batch loss=0.187190, epoch loss=0.992208 Batch=359, step=9960, lr=0.158750, batch loss=0.241939, epoch loss=1.234148 Batch=419, step=10020, lr=0.158250, batch loss=0.231755, epoch loss=1.465902 Batch=479, step=10080, lr=0.158000, batch loss=0.215203, epoch loss=1.681105 Batch=539, step=10140, lr=0.157750, batch loss=0.169273, epoch loss=1.850378 Batch=599, step=10200, lr=0.157750, batch loss=0.203261, epoch loss=2.053640 Batch=659, step=10260, lr=0.157250, batch loss=0.281758, epoch loss=2.335398 Batch=719, step=10320, lr=0.157250, batch loss=0.278990, epoch loss=2.614388 Batch=779, step=10380, lr=0.157000, batch loss=0.300843, epoch loss=2.915231 Batch=839, step=10440, lr=0.156750, batch loss=0.270482, epoch loss=3.185714 Batch=899, step=10500, lr=0.156500, batch loss=0.239987, epoch loss=3.425701 Batch=959, step=10560, lr=0.156250, batch loss=0.198745, epoch loss=3.624446 Batch=1019, step=10620, lr=0.156000, batch loss=0.278102, epoch loss=3.902547 Batch=1079, step=10680, lr=0.155750, batch loss=0.152744, epoch loss=4.055292 Batch=1139, step=10740, lr=0.155250, batch loss=0.182221, epoch loss=4.237513 Batch=1199, step=10800, lr=0.155250, batch loss=0.155588, epoch loss=4.393101 Epoch=8, step=10800, lr=0.155250, epoch loss=4.393101 Batch=59, step=10860, lr=0.154750, batch loss=0.202595, epoch loss=0.202595 Batch=119, step=10920, lr=0.154750, batch loss=0.157667, epoch loss=0.360262 Batch=179, step=10980, lr=0.154500, batch loss=0.166129, epoch loss=0.526391 Batch=239, step=11040, lr=0.154000, batch loss=0.244938, epoch loss=0.771329 Batch=299, step=11100, lr=0.153750, batch loss=0.161010, epoch loss=0.932339 Batch=359, step=11160, lr=0.153500, batch loss=0.228379, epoch loss=1.160718 Batch=419, step=11220, lr=0.153250, batch loss=0.233437, epoch loss=1.394155 Batch=479, step=11280, lr=0.153000, batch loss=0.198864, epoch loss=1.593019 Batch=539, step=11340, lr=0.152750, batch loss=0.162804, epoch loss=1.755823 Batch=599, step=11400, lr=0.152750, batch loss=0.183452, epoch loss=1.939275 Batch=659, step=11460, lr=0.152250, batch loss=0.262389, epoch loss=2.201664 Batch=719, step=11520, lr=0.152250, batch loss=0.255550, epoch loss=2.457214 Batch=779, step=11580, lr=0.152000, batch loss=0.270450, epoch loss=2.727664 Batch=839, step=11640, lr=0.151750, batch loss=0.256494, epoch loss=2.984158 Batch=899, step=11700, lr=0.151250, batch loss=0.216365, epoch loss=3.200523 Batch=959, step=11760, lr=0.151000, batch loss=0.174407, epoch loss=3.374930 Batch=1019, step=11820, lr=0.150750, batch loss=0.259553, epoch loss=3.634483 Batch=1079, step=11880, lr=0.150750, batch loss=0.148103, epoch loss=3.782585 Batch=1139, step=11940, lr=0.150500, batch loss=0.188187, epoch loss=3.970773 Batch=1199, step=12000, lr=0.150000, batch loss=0.138641, epoch loss=4.109414 Epoch=9, step=12000, lr=0.150000, epoch loss=4.109414 Batch=59, step=12060, lr=0.149750, batch loss=0.158087, epoch loss=0.158087 Batch=119, step=12120, lr=0.149500, batch loss=0.127420, epoch loss=0.285507 Batch=179, step=12180, lr=0.149500, batch loss=0.151780, epoch loss=0.437286 Batch=239, step=12240, lr=0.149250, batch loss=0.218953, epoch loss=0.656240 Batch=299, step=12300, lr=0.149000, batch loss=0.138553, epoch loss=0.794793 Batch=359, step=12360, lr=0.148750, batch loss=0.198328, epoch loss=0.993121 Batch=419, step=12420, lr=0.148500, batch loss=0.210664, epoch loss=1.203785 Batch=479, step=12480, lr=0.148250, batch loss=0.174508, epoch loss=1.378293 Batch=539, step=12540, lr=0.148000, batch loss=0.143291, epoch loss=1.521583 Batch=599, step=12600, lr=0.147750, batch loss=0.149638, epoch loss=1.671222 Batch=659, step=12660, lr=0.147500, batch loss=0.224987, epoch loss=1.896209 Batch=719, step=12720, lr=0.147250, batch loss=0.229668, epoch loss=2.125876 Batch=779, step=12780, lr=0.146750, batch loss=0.257897, epoch loss=2.383773 Batch=839, step=12840, lr=0.146500, batch loss=0.238060, epoch loss=2.621832 Batch=899, step=12900, lr=0.146500, batch loss=0.239616, epoch loss=2.861448 Batch=959, step=12960, lr=0.146000, batch loss=0.132113, epoch loss=2.993562 Batch=1019, step=13020, lr=0.145750, batch loss=0.208079, epoch loss=3.201640 Batch=1079, step=13080, lr=0.145500, batch loss=0.120681, epoch loss=3.322321 Batch=1139, step=13140, lr=0.145250, batch loss=0.156081, epoch loss=3.478402 Batch=1199, step=13200, lr=0.145000, batch loss=0.116005, epoch loss=3.594407 Epoch=10, step=13200, lr=0.145000, epoch loss=3.594407 Batch=59, step=13260, lr=0.145000, batch loss=0.138006, epoch loss=0.138006 Batch=119, step=13320, lr=0.144750, batch loss=0.123834, epoch loss=0.261840 Batch=179, step=13380, lr=0.144500, batch loss=0.128440, epoch loss=0.390281 Batch=239, step=13440, lr=0.144250, batch loss=0.190909, epoch loss=0.581189 Batch=299, step=13500, lr=0.144000, batch loss=0.118749, epoch loss=0.699938 Batch=359, step=13560, lr=0.143500, batch loss=0.161428, epoch loss=0.861367 Batch=419, step=13620, lr=0.143250, batch loss=0.158073, epoch loss=1.019440 Batch=479, step=13680, lr=0.143000, batch loss=0.149480, epoch loss=1.168919 Batch=539, step=13740, lr=0.143000, batch loss=0.116005, epoch loss=1.284925 Batch=599, step=13800, lr=0.142750, batch loss=0.120390, epoch loss=1.405315 Batch=659, step=13860, lr=0.142500, batch loss=0.178994, epoch loss=1.584310 Batch=719, step=13920, lr=0.142250, batch loss=0.194845, epoch loss=1.779155 Batch=779, step=13980, lr=0.142000, batch loss=0.223439, epoch loss=2.002594 Batch=839, step=14040, lr=0.141750, batch loss=0.206127, epoch loss=2.208721 Batch=899, step=14100, lr=0.141250, batch loss=0.221357, epoch loss=2.430077 Batch=959, step=14160, lr=0.141250, batch loss=0.099077, epoch loss=2.529155 Batch=1019, step=14220, lr=0.141000, batch loss=0.201814, epoch loss=2.730969 Batch=1079, step=14280, lr=0.140750, batch loss=0.075220, epoch loss=2.806189 Batch=1139, step=14340, lr=0.140500, batch loss=0.116157, epoch loss=2.922345 Batch=1199, step=14400, lr=0.140250, batch loss=0.084677, epoch loss=3.007023 Epoch=11, step=14400, lr=0.140250, epoch loss=3.007023 Batch=59, step=14460, lr=0.140000, batch loss=0.107582, epoch loss=0.107582 Batch=119, step=14520, lr=0.139750, batch loss=0.105310, epoch loss=0.212891 Batch=179, step=14580, lr=0.139500, batch loss=0.100177, epoch loss=0.313069 Batch=239, step=14640, lr=0.139250, batch loss=0.140524, epoch loss=0.453593 Batch=299, step=14700, lr=0.139000, batch loss=0.076241, epoch loss=0.529833 Batch=359, step=14760, lr=0.138750, batch loss=0.119159, epoch loss=0.648992 Batch=419, step=14820, lr=0.138500, batch loss=0.127951, epoch loss=0.776943 Batch=479, step=14880, lr=0.138250, batch loss=0.103692, epoch loss=0.880634 Batch=539, step=14940, lr=0.138000, batch loss=0.119120, epoch loss=0.999754 Batch=599, step=15000, lr=0.137750, batch loss=0.083834, epoch loss=1.083589 Batch=659, step=15060, lr=0.137500, batch loss=0.127698, epoch loss=1.211286 Batch=719, step=15120, lr=0.137250, batch loss=0.129623, epoch loss=1.340909 Batch=779, step=15180, lr=0.137000, batch loss=0.155148, epoch loss=1.496057 Batch=839, step=15240, lr=0.136750, batch loss=0.170033, epoch loss=1.666091 Batch=899, step=15300, lr=0.136500, batch loss=0.277892, epoch loss=1.943982 Batch=959, step=15360, lr=0.136250, batch loss=0.060223, epoch loss=2.004206 Batch=1019, step=15420, lr=0.136000, batch loss=0.136005, epoch loss=2.140211 Batch=1079, step=15480, lr=0.135750, batch loss=0.044867, epoch loss=2.185078 Batch=1139, step=15540, lr=0.135500, batch loss=0.100424, epoch loss=2.285501 Batch=1199, step=15600, lr=0.135250, batch loss=0.058597, epoch loss=2.344099 Epoch=12, step=15600, lr=0.135250, epoch loss=2.344099 Batch=59, step=15660, lr=0.135000, batch loss=0.075770, epoch loss=0.075770 Batch=119, step=15720, lr=0.134750, batch loss=0.104930, epoch loss=0.180700 Batch=179, step=15780, lr=0.134500, batch loss=0.089389, epoch loss=0.270089 Batch=239, step=15840, lr=0.134250, batch loss=0.091398, epoch loss=0.361487 Batch=299, step=15900, lr=0.134000, batch loss=0.040310, epoch loss=0.401796 Batch=359, step=15960, lr=0.133750, batch loss=0.079655, epoch loss=0.481451 Batch=419, step=16020, lr=0.133250, batch loss=0.080954, epoch loss=0.562405 Batch=479, step=16080, lr=0.133250, batch loss=0.070119, epoch loss=0.632524 Batch=539, step=16140, lr=0.133000, batch loss=0.051092, epoch loss=0.683616 Batch=599, step=16200, lr=0.132750, batch loss=0.100138, epoch loss=0.783754 Batch=659, step=16260, lr=0.132500, batch loss=0.074580, epoch loss=0.858334 Batch=719, step=16320, lr=0.132250, batch loss=0.087478, epoch loss=0.945812 Batch=779, step=16380, lr=0.131750, batch loss=0.138418, epoch loss=1.084230 Batch=839, step=16440, lr=0.131750, batch loss=0.124342, epoch loss=1.208572 Batch=899, step=16500, lr=0.131500, batch loss=0.149691, epoch loss=1.358263 Batch=959, step=16560, lr=0.131250, batch loss=0.032592, epoch loss=1.390855 Batch=1019, step=16620, lr=0.131000, batch loss=0.074349, epoch loss=1.465204 Batch=1079, step=16680, lr=0.130750, batch loss=0.042995, epoch loss=1.508198 Batch=1139, step=16740, lr=0.130500, batch loss=0.077874, epoch loss=1.586073 Batch=1199, step=16800, lr=0.130250, batch loss=0.034831, epoch loss=1.620904 Epoch=13, step=16800, lr=0.130250, epoch loss=1.620904 Batch=59, step=16860, lr=0.130000, batch loss=0.034625, epoch loss=0.034625 Batch=119, step=16920, lr=0.129750, batch loss=0.035757, epoch loss=0.070382 Batch=179, step=16980, lr=0.129500, batch loss=0.041875, epoch loss=0.112257 Batch=239, step=17040, lr=0.129250, batch loss=0.055166, epoch loss=0.167424 Batch=299, step=17100, lr=0.129000, batch loss=0.019522, epoch loss=0.186945 Batch=359, step=17160, lr=0.128750, batch loss=0.045137, epoch loss=0.232082 Batch=419, step=17220, lr=0.128500, batch loss=0.092517, epoch loss=0.324599 Batch=479, step=17280, lr=0.128250, batch loss=0.024306, epoch loss=0.348905 Batch=539, step=17340, lr=0.128000, batch loss=0.027322, epoch loss=0.376226 Batch=599, step=17400, lr=0.127750, batch loss=0.034310, epoch loss=0.410536 Batch=659, step=17460, lr=0.127500, batch loss=0.045154, epoch loss=0.455690 Batch=719, step=17520, lr=0.127250, batch loss=0.037582, epoch loss=0.493272 Batch=779, step=17580, lr=0.127000, batch loss=0.039435, epoch loss=0.532706 Batch=839, step=17640, lr=0.126750, batch loss=0.052684, epoch loss=0.585390 Batch=899, step=17700, lr=0.126500, batch loss=0.055329, epoch loss=0.640719 Batch=959, step=17760, lr=0.126250, batch loss=0.044340, epoch loss=0.685059 Batch=1019, step=17820, lr=0.126000, batch loss=0.115032, epoch loss=0.800091 Batch=1079, step=17880, lr=0.125750, batch loss=0.034535, epoch loss=0.834626 Batch=1139, step=17940, lr=0.125500, batch loss=0.072486, epoch loss=0.907112 Batch=1199, step=18000, lr=0.125250, batch loss=0.026627, epoch loss=0.933739 Epoch=14, step=18000, lr=0.125250, epoch loss=0.933739 Batch=59, step=18060, lr=0.125000, batch loss=0.015217, epoch loss=0.015217 Batch=119, step=18120, lr=0.124750, batch loss=0.027021, epoch loss=0.042238 Batch=179, step=18180, lr=0.124500, batch loss=0.060809, epoch loss=0.103047 Batch=239, step=18240, lr=0.124250, batch loss=0.035398, epoch loss=0.138445 Batch=299, step=18300, lr=0.124000, batch loss=0.010538, epoch loss=0.148983 Batch=359, step=18360, lr=0.123750, batch loss=0.026298, epoch loss=0.175281 Batch=419, step=18420, lr=0.123500, batch loss=0.028202, epoch loss=0.203483 Batch=479, step=18480, lr=0.123250, batch loss=0.010584, epoch loss=0.214068 Batch=539, step=18540, lr=0.123000, batch loss=0.019719, epoch loss=0.233787 Batch=599, step=18600, lr=0.122750, batch loss=0.025841, epoch loss=0.259627 Batch=659, step=18660, lr=0.122500, batch loss=0.024242, epoch loss=0.283869 Batch=719, step=18720, lr=0.122250, batch loss=0.041687, epoch loss=0.325556 Batch=779, step=18780, lr=0.122000, batch loss=0.096545, epoch loss=0.422101 Batch=839, step=18840, lr=0.121750, batch loss=0.078462, epoch loss=0.500563 Batch=899, step=18900, lr=0.121250, batch loss=0.097098, epoch loss=0.597661 Batch=959, step=18960, lr=0.121250, batch loss=0.015503, epoch loss=0.613164 Batch=1019, step=19020, lr=0.120750, batch loss=0.025450, epoch loss=0.638613 Batch=1079, step=19080, lr=0.120750, batch loss=0.004546, epoch loss=0.643160 Batch=1139, step=19140, lr=0.120500, batch loss=0.024914, epoch loss=0.668074 Batch=1199, step=19200, lr=0.120250, batch loss=0.011645, epoch loss=0.679719 Epoch=15, step=19200, lr=0.120250, epoch loss=0.679719 Batch=59, step=19260, lr=0.120000, batch loss=0.005370, epoch loss=0.005370 Batch=119, step=19320, lr=0.119750, batch loss=0.015013, epoch loss=0.020383 Batch=179, step=19380, lr=0.119500, batch loss=0.031327, epoch loss=0.051710 Batch=239, step=19440, lr=0.119250, batch loss=0.022744, epoch loss=0.074454 Batch=299, step=19500, lr=0.119000, batch loss=0.006603, epoch loss=0.081056 Batch=359, step=19560, lr=0.118750, batch loss=0.016376, epoch loss=0.097433 Batch=419, step=19620, lr=0.118500, batch loss=0.019556, epoch loss=0.116988 Batch=479, step=19680, lr=0.118250, batch loss=0.007961, epoch loss=0.124950 Batch=539, step=19740, lr=0.118000, batch loss=0.015911, epoch loss=0.140861 Batch=599, step=19800, lr=0.117750, batch loss=0.021077, epoch loss=0.161938 Batch=659, step=19860, lr=0.117500, batch loss=0.018753, epoch loss=0.180691 Batch=719, step=19920, lr=0.117250, batch loss=0.034601, epoch loss=0.215293 Batch=779, step=19980, lr=0.117000, batch loss=0.080330, epoch loss=0.295623 Batch=839, step=20040, lr=0.116750, batch loss=0.030818, epoch loss=0.326441 Batch=899, step=20100, lr=0.116500, batch loss=0.033289, epoch loss=0.359730 Batch=959, step=20160, lr=0.116250, batch loss=0.011909, epoch loss=0.371639 Batch=1019, step=20220, lr=0.116000, batch loss=0.016250, epoch loss=0.387889 Batch=1079, step=20280, lr=0.115750, batch loss=0.001129, epoch loss=0.389018 Batch=1139, step=20340, lr=0.115500, batch loss=0.015322, epoch loss=0.404341 Batch=1199, step=20400, lr=0.115250, batch loss=0.005715, epoch loss=0.410056 Epoch=16, step=20400, lr=0.115250, epoch loss=0.410056 Batch=59, step=20460, lr=0.115000, batch loss=0.002802, epoch loss=0.002802 Batch=119, step=20520, lr=0.114750, batch loss=0.009055, epoch loss=0.011857 Batch=179, step=20580, lr=0.114500, batch loss=0.019552, epoch loss=0.031409 Batch=239, step=20640, lr=0.114250, batch loss=0.020569, epoch loss=0.051978 Batch=299, step=20700, lr=0.114000, batch loss=0.009795, epoch loss=0.061773 Batch=359, step=20760, lr=0.113750, batch loss=0.014167, epoch loss=0.075941 Batch=419, step=20820, lr=0.113500, batch loss=0.014867, epoch loss=0.090807 Batch=479, step=20880, lr=0.113250, batch loss=0.002885, epoch loss=0.093693 Batch=539, step=20940, lr=0.113000, batch loss=0.017362, epoch loss=0.111055 Batch=599, step=21000, lr=0.112750, batch loss=0.019502, epoch loss=0.130557 Batch=659, step=21060, lr=0.112500, batch loss=0.015266, epoch loss=0.145823 Batch=719, step=21120, lr=0.112250, batch loss=0.040202, epoch loss=0.186025 Batch=779, step=21180, lr=0.112000, batch loss=0.073524, epoch loss=0.259549 Batch=839, step=21240, lr=0.111750, batch loss=0.026137, epoch loss=0.285686 Batch=899, step=21300, lr=0.111500, batch loss=0.034783, epoch loss=0.320469 Batch=959, step=21360, lr=0.111250, batch loss=0.009547, epoch loss=0.330016 Batch=1019, step=21420, lr=0.111000, batch loss=0.010914, epoch loss=0.340930 Batch=1079, step=21480, lr=0.110750, batch loss=0.000925, epoch loss=0.341855 Batch=1139, step=21540, lr=0.110500, batch loss=0.012510, epoch loss=0.354365 Batch=1199, step=21600, lr=0.110250, batch loss=0.005058, epoch loss=0.359423 Epoch=17, step=21600, lr=0.110250, epoch loss=0.359423 Batch=59, step=21660, lr=0.109750, batch loss=0.001850, epoch loss=0.001850 Batch=119, step=21720, lr=0.109750, batch loss=0.006369, epoch loss=0.008219 Batch=179, step=21780, lr=0.109500, batch loss=0.012618, epoch loss=0.020837 Batch=239, step=21840, lr=0.109250, batch loss=0.011823, epoch loss=0.032659 Batch=299, step=21900, lr=0.109000, batch loss=0.002408, epoch loss=0.035067 Batch=359, step=21960, lr=0.108750, batch loss=0.010657, epoch loss=0.045725 Batch=419, step=22020, lr=0.108500, batch loss=0.011055, epoch loss=0.056779 Batch=479, step=22080, lr=0.108000, batch loss=0.002651, epoch loss=0.059430 Batch=539, step=22140, lr=0.108000, batch loss=0.019184, epoch loss=0.078614 Batch=599, step=22200, lr=0.107750, batch loss=0.016159, epoch loss=0.094773 Batch=659, step=22260, lr=0.107500, batch loss=0.015711, epoch loss=0.110483 Batch=719, step=22320, lr=0.107250, batch loss=0.024010, epoch loss=0.134493 Batch=779, step=22380, lr=0.107000, batch loss=0.036597, epoch loss=0.171090 Batch=839, step=22440, lr=0.106750, batch loss=0.025205, epoch loss=0.196295 Batch=899, step=22500, lr=0.106500, batch loss=0.027589, epoch loss=0.223884 Batch=959, step=22560, lr=0.106250, batch loss=0.008987, epoch loss=0.232871 Batch=1019, step=22620, lr=0.106000, batch loss=0.010089, epoch loss=0.242960 Batch=1079, step=22680, lr=0.105500, batch loss=0.000701, epoch loss=0.243661 Batch=1139, step=22740, lr=0.105500, batch loss=0.010085, epoch loss=0.253746 Batch=1199, step=22800, lr=0.105250, batch loss=0.004485, epoch loss=0.258231 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258231 Batch=59, step=22860, lr=0.105000, batch loss=0.001345, epoch loss=0.001345 Batch=119, step=22920, lr=0.104750, batch loss=0.005471, epoch loss=0.006816 Batch=179, step=22980, lr=0.104500, batch loss=0.010285, epoch loss=0.017101 Batch=239, step=23040, lr=0.104000, batch loss=0.008825, epoch loss=0.025926 Batch=299, step=23100, lr=0.104000, batch loss=0.001888, epoch loss=0.027814 Batch=359, step=23160, lr=0.103500, batch loss=0.010701, epoch loss=0.038515 Batch=419, step=23220, lr=0.103500, batch loss=0.010023, epoch loss=0.048538 Batch=479, step=23280, lr=0.103250, batch loss=0.002442, epoch loss=0.050980 Batch=539, step=23340, lr=0.103000, batch loss=0.017291, epoch loss=0.068271 Batch=599, step=23400, lr=0.102750, batch loss=0.013523, epoch loss=0.081794 Batch=659, step=23460, lr=0.102500, batch loss=0.011640, epoch loss=0.093435 Batch=719, step=23520, lr=0.102250, batch loss=0.011199, epoch loss=0.104633 Batch=779, step=23580, lr=0.102000, batch loss=0.019380, epoch loss=0.124014 Batch=839, step=23640, lr=0.101750, batch loss=0.027153, epoch loss=0.151166 Batch=899, step=23700, lr=0.101500, batch loss=0.020539, epoch loss=0.171706 Batch=959, step=23760, lr=0.101250, batch loss=0.007792, epoch loss=0.179497 Batch=1019, step=23820, lr=0.101000, batch loss=0.006916, epoch loss=0.186413 Batch=1079, step=23880, lr=0.100750, batch loss=0.001223, epoch loss=0.187636 Batch=1139, step=23940, lr=0.100500, batch loss=0.008162, epoch loss=0.195798 Batch=1199, step=24000, lr=0.100250, batch loss=0.004027, epoch loss=0.199825 Epoch=19, step=24000, lr=0.100250, epoch loss=0.199825 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 2025-05-15 20:39.20: Job failed: Failed: Build failed