2025-05-20 19:21.42: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (330b95092469114814c49ce51971f33e31a97e23) (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 330b9509 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 2025-05-20 19:21.42: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-20 19:21.42: 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")) ) 2025-05-20 19:21.42: Waiting for resource in pool OCluster 2025-05-20 19:21.42: Waiting for worker… 2025-05-20 19:28.19: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at 2c2690bf In progress: getting kernel logging to work again on the cuda backend HEAD is now at 330b9509 Logging: fixes on the Linux side cuda logging on Windows still broken because of stdout capture issue. (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-20 19:30.01 ---> 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% | 76.5 KiB/s | 23.7 KiB | 00m00s Fedora 42 - x86_64 100% | 183.1 KiB/s | 24.9 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 3.6 MiB/s | 5.3 MiB | 00m01s Fedora 42 - x86_64 100% | 255.1 KiB/s | 310.5 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-20 19:30.21 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-20 19:30.22 ---> 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. Continue? [y/n] y 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. Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-20 19:31.22 ---> 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 2025-05-20 19:31.24 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 19:31.24 ---> 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) 2025-05-20 19:32.10 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 19:32.11 ---> 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) 2025-05-20 19:32.15 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 19:32.15 ---> 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% | 155.6 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 78.0 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% | 19.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 299.9 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-20 19:32.44 ---> 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 bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (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 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 dune.3.18.2, dune-configurator.3.18.2 (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_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (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 topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> 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_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) 2025-05-20 19:35.23 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f" /src: (copy (src .) (dst /src)) 2025-05-20 19:35.24 ---> saved as "10d8c9dd107790cf7938a186589343b5744e24fe2975c5008acbeda99f413d4c" /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/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1c74333422c87f4d8453c6312546041a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35512ff209908ba4b58cac9848b818e5/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/35512ff209908ba4b58cac9848b818e5/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=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.199000, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198750, batch loss=1.328603, epoch loss=38.400457 Batch=419, step=420, lr=0.198500, batch loss=0.620952, epoch loss=39.021408 Batch=479, step=480, lr=0.198000, batch loss=0.818831, epoch loss=39.840239 Batch=539, step=540, lr=0.197750, batch loss=0.695264, epoch loss=40.535504 Batch=599, step=600, lr=0.197500, batch loss=1.059893, epoch loss=41.595396 Batch=659, step=660, lr=0.197250, batch loss=0.484497, epoch loss=42.079894 Batch=719, step=720, lr=0.197000, batch loss=0.412473, epoch loss=42.492367 Batch=779, step=780, lr=0.196750, batch loss=0.472169, epoch loss=42.964536 Batch=839, step=840, lr=0.196500, batch loss=0.448804, epoch loss=43.413340 Batch=899, step=900, lr=0.196250, batch loss=0.387640, epoch loss=43.800980 Batch=959, step=960, lr=0.196250, batch loss=0.253359, epoch loss=44.054340 Batch=1019, step=1020, lr=0.196000, batch loss=0.477727, epoch loss=44.532066 Batch=1079, step=1080, lr=0.195750, batch loss=0.262575, epoch loss=44.794641 Batch=1139, step=1140, lr=0.195500, batch loss=0.341101, epoch loss=45.135742 Batch=1199, step=1200, lr=0.195250, batch loss=0.266092, epoch loss=45.401834 Epoch=0, step=1200, lr=0.195250, epoch loss=45.401834 Batch=59, step=1260, lr=0.195000, batch loss=0.265254, epoch loss=0.265254 Batch=119, step=1320, lr=0.194750, batch loss=0.203780, epoch loss=0.469034 Batch=179, step=1380, lr=0.194500, batch loss=0.246633, epoch loss=0.715668 Batch=239, step=1440, lr=0.194000, batch loss=0.348815, epoch loss=1.064482 Batch=299, step=1500, lr=0.193750, batch loss=0.241516, epoch loss=1.305998 Batch=359, step=1560, lr=0.193750, batch loss=0.311699, epoch loss=1.617696 Batch=419, step=1620, lr=0.193500, batch loss=0.308224, epoch loss=1.925921 Batch=479, step=1680, lr=0.193250, batch loss=0.274793, epoch loss=2.200714 Batch=539, step=1740, lr=0.193000, batch loss=0.214256, epoch loss=2.414970 Batch=599, step=1800, lr=0.192500, batch loss=0.258227, epoch loss=2.673197 Batch=659, step=1860, lr=0.192250, batch loss=0.372808, epoch loss=3.046005 Batch=719, step=1920, lr=0.192250, batch loss=0.362704, epoch loss=3.408708 Batch=779, step=1980, lr=0.192000, batch loss=0.384570, epoch loss=3.793278 Batch=839, step=2040, lr=0.191750, batch loss=0.350934, epoch loss=4.144212 Batch=899, step=2100, lr=0.191500, batch loss=0.324380, epoch loss=4.468591 Batch=959, step=2160, lr=0.191250, batch loss=0.255287, epoch loss=4.723878 Batch=1019, step=2220, lr=0.191000, batch loss=0.391642, epoch loss=5.115520 Batch=1079, step=2280, lr=0.190750, batch loss=0.216754, epoch loss=5.332274 Batch=1139, step=2340, lr=0.190500, batch loss=0.258849, epoch loss=5.591123 Batch=1199, step=2400, lr=0.190250, batch loss=0.212513, epoch loss=5.803636 Epoch=1, step=2400, lr=0.190250, epoch loss=5.803636 Batch=59, step=2460, lr=0.190000, batch loss=0.232753, epoch loss=0.232753 Batch=119, step=2520, lr=0.189750, batch loss=0.195727, epoch loss=0.428479 Batch=179, step=2580, lr=0.189500, batch loss=0.222670, epoch loss=0.651150 Batch=239, step=2640, lr=0.189250, batch loss=0.330504, epoch loss=0.981654 Batch=299, step=2700, lr=0.189000, batch loss=0.205681, epoch loss=1.187335 Batch=359, step=2760, lr=0.188750, batch loss=0.289060, epoch loss=1.476395 Batch=419, step=2820, lr=0.188500, batch loss=0.282261, epoch loss=1.758656 Batch=479, step=2880, lr=0.188250, batch loss=0.253920, epoch loss=2.012575 Batch=539, step=2940, lr=0.188000, batch loss=0.193453, epoch loss=2.206029 Batch=599, step=3000, lr=0.187750, batch loss=0.229817, epoch loss=2.435845 Batch=659, step=3060, lr=0.187500, batch loss=0.340575, epoch loss=2.776421 Batch=719, step=3120, lr=0.187250, batch loss=0.340458, epoch loss=3.116878 Batch=779, step=3180, lr=0.187000, batch loss=0.363306, epoch loss=3.480184 Batch=839, step=3240, lr=0.186750, batch loss=0.323190, epoch loss=3.803374 Batch=899, step=3300, lr=0.186250, batch loss=0.297101, epoch loss=4.100475 Batch=959, step=3360, lr=0.186000, batch loss=0.231693, epoch loss=4.332168 Batch=1019, step=3420, lr=0.186000, batch loss=0.341928, epoch loss=4.674096 Batch=1079, step=3480, lr=0.185750, batch loss=0.190057, epoch loss=4.864154 Batch=1139, step=3540, lr=0.185500, batch loss=0.229298, epoch loss=5.093451 Batch=1199, step=3600, lr=0.185250, batch loss=0.199730, epoch loss=5.293181 Epoch=2, step=3600, lr=0.185250, epoch loss=5.293181 Batch=59, step=3660, lr=0.185000, batch loss=0.236230, epoch loss=0.236230 Batch=119, step=3720, lr=0.184750, batch loss=0.194075, epoch loss=0.430305 Batch=179, step=3780, lr=0.184500, batch loss=0.211206, epoch loss=0.641511 Batch=239, step=3840, lr=0.184250, batch loss=0.318514, epoch loss=0.960025 Batch=299, step=3900, lr=0.184000, batch loss=0.207998, epoch loss=1.168023 Batch=359, step=3960, lr=0.183750, batch loss=0.279824, epoch loss=1.447846 Batch=419, step=4020, lr=0.183500, batch loss=0.274168, epoch loss=1.722015 Batch=479, step=4080, lr=0.183250, batch loss=0.252470, epoch loss=1.974485 Batch=539, step=4140, lr=0.183000, batch loss=0.192298, epoch loss=2.166782 Batch=599, step=4200, lr=0.182750, batch loss=0.236043, epoch loss=2.402826 Batch=659, step=4260, lr=0.182500, batch loss=0.333377, epoch loss=2.736203 Batch=719, step=4320, lr=0.182250, batch loss=0.342245, epoch loss=3.078448 Batch=779, step=4380, lr=0.182000, batch loss=0.349308, epoch loss=3.427757 Batch=839, step=4440, lr=0.181750, batch loss=0.319423, epoch loss=3.747180 Batch=899, step=4500, lr=0.181500, batch loss=0.289989, epoch loss=4.037169 Batch=959, step=4560, lr=0.181250, batch loss=0.243385, epoch loss=4.280554 Batch=1019, step=4620, lr=0.181000, batch loss=0.343234, epoch loss=4.623788 Batch=1079, step=4680, lr=0.180750, batch loss=0.217456, epoch loss=4.841244 Batch=1139, step=4740, lr=0.180500, batch loss=0.248215, epoch loss=5.089459 Batch=1199, step=4800, lr=0.180250, batch loss=0.191723, epoch loss=5.281182 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281182 Batch=59, step=4860, lr=0.180000, batch loss=0.227933, epoch loss=0.227933 Batch=119, step=4920, lr=0.179750, batch loss=0.189290, epoch loss=0.417223 Batch=179, step=4980, lr=0.179500, batch loss=0.206865, epoch loss=0.624088 Batch=239, step=5040, lr=0.179250, batch loss=0.310102, epoch loss=0.934190 Batch=299, step=5100, lr=0.179000, batch loss=0.206066, epoch loss=1.140255 Batch=359, step=5160, lr=0.178750, batch loss=0.275831, epoch loss=1.416086 Batch=419, step=5220, lr=0.178500, batch loss=0.265979, epoch loss=1.682065 Batch=479, step=5280, lr=0.178250, batch loss=0.244590, epoch loss=1.926656 Batch=539, step=5340, lr=0.178000, batch loss=0.189076, epoch loss=2.115732 Batch=599, step=5400, lr=0.177750, batch loss=0.230048, epoch loss=2.345780 Batch=659, step=5460, lr=0.177500, batch loss=0.324515, epoch loss=2.670296 Batch=719, step=5520, lr=0.177250, batch loss=0.321097, epoch loss=2.991392 Batch=779, step=5580, lr=0.177000, batch loss=0.343636, epoch loss=3.335029 Batch=839, step=5640, lr=0.176750, batch loss=0.310306, epoch loss=3.645335 Batch=899, step=5700, lr=0.176500, batch loss=0.270998, epoch loss=3.916333 Batch=959, step=5760, lr=0.176250, batch loss=0.219098, epoch loss=4.135431 Batch=1019, step=5820, lr=0.176000, batch loss=0.335306, epoch loss=4.470737 Batch=1079, step=5880, lr=0.175750, batch loss=0.187812, epoch loss=4.658549 Batch=1139, step=5940, lr=0.175500, batch loss=0.224643, epoch loss=4.883192 Batch=1199, step=6000, lr=0.175250, batch loss=0.189083, epoch loss=5.072275 Epoch=4, step=6000, lr=0.175250, epoch loss=5.072275 Batch=59, step=6060, lr=0.175000, batch loss=0.231759, epoch loss=0.231759 Batch=119, step=6120, lr=0.174750, batch loss=0.192549, epoch loss=0.424309 Batch=179, step=6180, lr=0.174500, batch loss=0.202177, epoch loss=0.626486 Batch=239, step=6240, lr=0.174250, batch loss=0.301032, epoch loss=0.927518 Batch=299, step=6300, lr=0.174000, batch loss=0.206585, epoch loss=1.134103 Batch=359, step=6360, lr=0.173750, batch loss=0.274364, epoch loss=1.408467 Batch=419, step=6420, lr=0.173500, batch loss=0.266633, epoch loss=1.675100 Batch=479, step=6480, lr=0.173250, batch loss=0.242429, epoch loss=1.917529 Batch=539, step=6540, lr=0.173000, batch loss=0.194130, epoch loss=2.111659 Batch=599, step=6600, lr=0.172750, batch loss=0.227173, epoch loss=2.338832 Batch=659, step=6660, lr=0.172500, batch loss=0.315575, epoch loss=2.654407 Batch=719, step=6720, lr=0.172250, batch loss=0.316277, epoch loss=2.970684 Batch=779, step=6780, lr=0.172000, batch loss=0.332788, epoch loss=3.303473 Batch=839, step=6840, lr=0.171750, batch loss=0.305389, epoch loss=3.608861 Batch=899, step=6900, lr=0.171500, batch loss=0.270437, epoch loss=3.879298 Batch=959, step=6960, lr=0.171250, batch loss=0.204293, epoch loss=4.083591 Batch=1019, step=7020, lr=0.171000, batch loss=0.329879, epoch loss=4.413470 Batch=1079, step=7080, lr=0.170750, batch loss=0.183168, epoch loss=4.596639 Batch=1139, step=7140, lr=0.170500, batch loss=0.215051, epoch loss=4.811690 Batch=1199, step=7200, lr=0.170250, batch loss=0.185348, epoch loss=4.997038 Epoch=5, step=7200, lr=0.170250, epoch loss=4.997038 Batch=59, step=7260, lr=0.170000, batch loss=0.234067, epoch loss=0.234067 Batch=119, step=7320, lr=0.169750, batch loss=0.182279, epoch loss=0.416347 Batch=179, step=7380, lr=0.169500, batch loss=0.195844, epoch loss=0.612191 Batch=239, step=7440, lr=0.169250, batch loss=0.289932, epoch loss=0.902122 Batch=299, step=7500, lr=0.169000, batch loss=0.200657, epoch loss=1.102779 Batch=359, step=7560, lr=0.168750, batch loss=0.257925, epoch loss=1.360704 Batch=419, step=7620, lr=0.168500, batch loss=0.257036, epoch loss=1.617741 Batch=479, step=7680, lr=0.168250, batch loss=0.235009, epoch loss=1.852750 Batch=539, step=7740, lr=0.168000, batch loss=0.188489, epoch loss=2.041239 Batch=599, step=7800, lr=0.167750, batch loss=0.223025, epoch loss=2.264263 Batch=659, step=7860, lr=0.167250, batch loss=0.307190, epoch loss=2.571453 Batch=719, step=7920, lr=0.167250, batch loss=0.306552, epoch loss=2.878005 Batch=779, step=7980, lr=0.167000, batch loss=0.323267, epoch loss=3.201273 Batch=839, step=8040, lr=0.166750, batch loss=0.294790, epoch loss=3.496062 Batch=899, step=8100, lr=0.166500, batch loss=0.260883, epoch loss=3.756945 Batch=959, step=8160, lr=0.166250, batch loss=0.203373, epoch loss=3.960318 Batch=1019, step=8220, lr=0.166000, batch loss=0.320150, epoch loss=4.280468 Batch=1079, step=8280, lr=0.165750, batch loss=0.180535, epoch loss=4.461003 Batch=1139, step=8340, lr=0.165500, batch loss=0.209089, epoch loss=4.670091 Batch=1199, step=8400, lr=0.165250, batch loss=0.178051, epoch loss=4.848142 Epoch=6, step=8400, lr=0.165250, epoch loss=4.848142 Batch=59, step=8460, lr=0.165000, batch loss=0.226594, epoch loss=0.226594 Batch=119, step=8520, lr=0.164750, batch loss=0.174501, epoch loss=0.401095 Batch=179, step=8580, lr=0.164250, batch loss=0.188408, epoch loss=0.589503 Batch=239, step=8640, lr=0.164250, batch loss=0.278892, epoch loss=0.868395 Batch=299, step=8700, lr=0.164000, batch loss=0.190242, epoch loss=1.058638 Batch=359, step=8760, lr=0.163750, batch loss=0.247107, epoch loss=1.305745 Batch=419, step=8820, lr=0.163500, batch loss=0.245370, epoch loss=1.551115 Batch=479, step=8880, lr=0.163250, batch loss=0.226040, epoch loss=1.777155 Batch=539, step=8940, lr=0.162750, batch loss=0.177988, epoch loss=1.955143 Batch=599, step=9000, lr=0.162750, batch loss=0.214795, epoch loss=2.169938 Batch=659, step=9060, lr=0.162500, batch loss=0.294785, epoch loss=2.464722 Batch=719, step=9120, lr=0.162250, batch loss=0.298045, epoch loss=2.762767 Batch=779, step=9180, lr=0.162000, batch loss=0.314779, epoch loss=3.077547 Batch=839, step=9240, lr=0.161750, batch loss=0.281201, epoch loss=3.358748 Batch=899, step=9300, lr=0.161500, batch loss=0.252957, epoch loss=3.611704 Batch=959, step=9360, lr=0.161250, batch loss=0.208844, epoch loss=3.820548 Batch=1019, step=9420, lr=0.161000, batch loss=0.296158, epoch loss=4.116706 Batch=1079, step=9480, lr=0.160750, batch loss=0.170973, epoch loss=4.287679 Batch=1139, step=9540, lr=0.160500, batch loss=0.198734, epoch loss=4.486413 Batch=1199, step=9600, lr=0.160250, batch loss=0.164090, epoch loss=4.650503 Epoch=7, step=9600, lr=0.160250, epoch loss=4.650503 Batch=59, step=9660, lr=0.160000, batch loss=0.193709, epoch loss=0.193709 Batch=119, step=9720, lr=0.159750, batch loss=0.164783, epoch loss=0.358493 Batch=179, step=9780, lr=0.159500, batch loss=0.179127, epoch loss=0.537620 Batch=239, step=9840, lr=0.159250, batch loss=0.261265, epoch loss=0.798885 Batch=299, step=9900, lr=0.159000, batch loss=0.183178, epoch loss=0.982063 Batch=359, step=9960, lr=0.158750, batch loss=0.240916, epoch loss=1.222979 Batch=419, step=10020, lr=0.158500, batch loss=0.243638, epoch loss=1.466617 Batch=479, step=10080, lr=0.158000, batch loss=0.219566, epoch loss=1.686183 Batch=539, step=10140, lr=0.158000, batch loss=0.170024, epoch loss=1.856207 Batch=599, step=10200, lr=0.157500, batch loss=0.202861, epoch loss=2.059068 Batch=659, step=10260, lr=0.157250, batch loss=0.279673, epoch loss=2.338740 Batch=719, step=10320, lr=0.157000, batch loss=0.282424, epoch loss=2.621164 Batch=779, step=10380, lr=0.156750, batch loss=0.292164, epoch loss=2.913328 Batch=839, step=10440, lr=0.156750, batch loss=0.270346, epoch loss=3.183673 Batch=899, step=10500, lr=0.156500, batch loss=0.236446, epoch loss=3.420119 Batch=959, step=10560, lr=0.156250, batch loss=0.177467, epoch loss=3.597586 Batch=1019, step=10620, lr=0.156000, batch loss=0.297865, epoch loss=3.895452 Batch=1079, step=10680, lr=0.155750, batch loss=0.176004, epoch loss=4.071455 Batch=1139, step=10740, lr=0.155500, batch loss=0.198860, epoch loss=4.270316 Batch=1199, step=10800, lr=0.155250, batch loss=0.154074, epoch loss=4.424390 Epoch=8, step=10800, lr=0.155250, epoch loss=4.424390 Batch=59, step=10860, lr=0.155000, batch loss=0.176368, epoch loss=0.176368 Batch=119, step=10920, lr=0.154750, batch loss=0.150433, epoch loss=0.326801 Batch=179, step=10980, lr=0.154500, batch loss=0.165258, epoch loss=0.492058 Batch=239, step=11040, lr=0.154250, batch loss=0.245756, epoch loss=0.737814 Batch=299, step=11100, lr=0.154000, batch loss=0.166875, epoch loss=0.904689 Batch=359, step=11160, lr=0.153750, batch loss=0.219082, epoch loss=1.123771 Batch=419, step=11220, lr=0.153500, batch loss=0.214717, epoch loss=1.338488 Batch=479, step=11280, lr=0.153250, batch loss=0.210345, epoch loss=1.548833 Batch=539, step=11340, lr=0.152750, batch loss=0.161825, epoch loss=1.710659 Batch=599, step=11400, lr=0.152500, batch loss=0.176018, epoch loss=1.886676 Batch=659, step=11460, lr=0.152500, batch loss=0.266608, epoch loss=2.153284 Batch=719, step=11520, lr=0.152000, batch loss=0.257489, epoch loss=2.410773 Batch=779, step=11580, lr=0.151750, batch loss=0.272682, epoch loss=2.683455 Batch=839, step=11640, lr=0.151500, batch loss=0.254451, epoch loss=2.937906 Batch=899, step=11700, lr=0.151500, batch loss=0.211622, epoch loss=3.149527 Batch=959, step=11760, lr=0.151000, batch loss=0.166698, epoch loss=3.316225 Batch=1019, step=11820, lr=0.150750, batch loss=0.264797, epoch loss=3.581022 Batch=1079, step=11880, lr=0.150500, batch loss=0.135990, epoch loss=3.717012 Batch=1139, step=11940, lr=0.150500, batch loss=0.164453, epoch loss=3.881465 Batch=1199, step=12000, lr=0.150000, batch loss=0.139491, epoch loss=4.020956 Epoch=9, step=12000, lr=0.150000, epoch loss=4.020956 Batch=59, step=12060, lr=0.150000, batch loss=0.165813, epoch loss=0.165813 Batch=119, step=12120, lr=0.149750, batch loss=0.137464, epoch loss=0.303277 Batch=179, step=12180, lr=0.149250, batch loss=0.148447, epoch loss=0.451724 Batch=239, step=12240, lr=0.149000, batch loss=0.214364, epoch loss=0.666088 Batch=299, step=12300, lr=0.148750, batch loss=0.143703, epoch loss=0.809791 Batch=359, step=12360, lr=0.148500, batch loss=0.190906, epoch loss=1.000697 Batch=419, step=12420, lr=0.148250, batch loss=0.207524, epoch loss=1.208221 Batch=479, step=12480, lr=0.148250, batch loss=0.174036, epoch loss=1.382257 Batch=539, step=12540, lr=0.148000, batch loss=0.143095, epoch loss=1.525352 Batch=599, step=12600, lr=0.147500, batch loss=0.146760, epoch loss=1.672112 Batch=659, step=12660, lr=0.147250, batch loss=0.214463, epoch loss=1.886575 Batch=719, step=12720, lr=0.147000, batch loss=0.213449, epoch loss=2.100025 Batch=779, step=12780, lr=0.146750, batch loss=0.239146, epoch loss=2.339170 Batch=839, step=12840, lr=0.146500, batch loss=0.222159, epoch loss=2.561330 Batch=899, step=12900, lr=0.146500, batch loss=0.186643, epoch loss=2.747972 Batch=959, step=12960, lr=0.146250, batch loss=0.164343, epoch loss=2.912315 Batch=1019, step=13020, lr=0.146000, batch loss=0.274312, epoch loss=3.186627 Batch=1079, step=13080, lr=0.145500, batch loss=0.118955, epoch loss=3.305582 Batch=1139, step=13140, lr=0.145250, batch loss=0.156290, epoch loss=3.461872 Batch=1199, step=13200, lr=0.145250, batch loss=0.116348, epoch loss=3.578220 Epoch=10, step=13200, lr=0.145250, epoch loss=3.578220 Batch=59, step=13260, lr=0.145000, batch loss=0.139725, epoch loss=0.139725 Batch=119, step=13320, lr=0.144750, batch loss=0.117994, epoch loss=0.257719 Batch=179, step=13380, lr=0.144500, batch loss=0.126276, epoch loss=0.383995 Batch=239, step=13440, lr=0.144250, batch loss=0.192009, epoch loss=0.576004 Batch=299, step=13500, lr=0.144000, batch loss=0.127052, epoch loss=0.703056 Batch=359, step=13560, lr=0.143750, batch loss=0.155618, epoch loss=0.858674 Batch=419, step=13620, lr=0.143500, batch loss=0.155870, epoch loss=1.014544 Batch=479, step=13680, lr=0.143250, batch loss=0.144634, epoch loss=1.159178 Batch=539, step=13740, lr=0.143000, batch loss=0.116301, epoch loss=1.275479 Batch=599, step=13800, lr=0.142750, batch loss=0.117165, epoch loss=1.392643 Batch=659, step=13860, lr=0.142500, batch loss=0.173194, epoch loss=1.565837 Batch=719, step=13920, lr=0.142250, batch loss=0.168985, epoch loss=1.734822 Batch=779, step=13980, lr=0.142000, batch loss=0.183326, epoch loss=1.918148 Batch=839, step=14040, lr=0.141750, batch loss=0.188564, epoch loss=2.106712 Batch=899, step=14100, lr=0.141500, batch loss=0.208140, epoch loss=2.314853 Batch=959, step=14160, lr=0.141250, batch loss=0.107071, epoch loss=2.421924 Batch=1019, step=14220, lr=0.141000, batch loss=0.184181, epoch loss=2.606105 Batch=1079, step=14280, lr=0.140750, batch loss=0.080667, epoch loss=2.686772 Batch=1139, step=14340, lr=0.140500, batch loss=0.136894, epoch loss=2.823666 Batch=1199, step=14400, lr=0.140250, batch loss=0.084978, epoch loss=2.908645 Epoch=11, step=14400, lr=0.140250, epoch loss=2.908645 Batch=59, step=14460, lr=0.140000, batch loss=0.112274, epoch loss=0.112274 Batch=119, step=14520, lr=0.139750, batch loss=0.105671, epoch loss=0.217945 Batch=179, step=14580, lr=0.139500, batch loss=0.100367, epoch loss=0.318312 Batch=239, step=14640, lr=0.139250, batch loss=0.134476, epoch loss=0.452788 Batch=299, step=14700, lr=0.139000, batch loss=0.075222, epoch loss=0.528010 Batch=359, step=14760, lr=0.138750, batch loss=0.114821, epoch loss=0.642830 Batch=419, step=14820, lr=0.138500, batch loss=0.130917, epoch loss=0.773748 Batch=479, step=14880, lr=0.138250, batch loss=0.091764, epoch loss=0.865512 Batch=539, step=14940, lr=0.138000, batch loss=0.100928, epoch loss=0.966440 Batch=599, step=15000, lr=0.137750, batch loss=0.080768, epoch loss=1.047208 Batch=659, step=15060, lr=0.137500, batch loss=0.121252, epoch loss=1.168459 Batch=719, step=15120, lr=0.137250, batch loss=0.117661, epoch loss=1.286121 Batch=779, step=15180, lr=0.137000, batch loss=0.125630, epoch loss=1.411751 Batch=839, step=15240, lr=0.136750, batch loss=0.181235, epoch loss=1.592986 Batch=899, step=15300, lr=0.136500, batch loss=0.343011, epoch loss=1.935997 Batch=959, step=15360, lr=0.136250, batch loss=0.053080, epoch loss=1.989077 Batch=1019, step=15420, lr=0.136000, batch loss=0.125644, epoch loss=2.114721 Batch=1079, step=15480, lr=0.135750, batch loss=0.047799, epoch loss=2.162520 Batch=1139, step=15540, lr=0.135500, batch loss=0.103798, epoch loss=2.266318 Batch=1199, step=15600, lr=0.135250, batch loss=0.060507, epoch loss=2.326826 Epoch=12, step=15600, lr=0.135250, epoch loss=2.326826 Batch=59, step=15660, lr=0.135000, batch loss=0.076117, epoch loss=0.076117 Batch=119, step=15720, lr=0.134750, batch loss=0.102095, epoch loss=0.178212 Batch=179, step=15780, lr=0.134500, batch loss=0.087698, epoch loss=0.265910 Batch=239, step=15840, lr=0.134250, batch loss=0.088921, epoch loss=0.354830 Batch=299, step=15900, lr=0.134000, batch loss=0.036867, epoch loss=0.391697 Batch=359, step=15960, lr=0.133750, batch loss=0.077088, epoch loss=0.468786 Batch=419, step=16020, lr=0.133500, batch loss=0.075587, epoch loss=0.544372 Batch=479, step=16080, lr=0.133250, batch loss=0.063451, epoch loss=0.607823 Batch=539, step=16140, lr=0.133000, batch loss=0.053327, epoch loss=0.661150 Batch=599, step=16200, lr=0.132750, batch loss=0.097974, epoch loss=0.759124 Batch=659, step=16260, lr=0.132500, batch loss=0.073761, epoch loss=0.832885 Batch=719, step=16320, lr=0.132250, batch loss=0.072779, epoch loss=0.905664 Batch=779, step=16380, lr=0.132000, batch loss=0.096812, epoch loss=1.002476 Batch=839, step=16440, lr=0.131750, batch loss=0.117184, epoch loss=1.119660 Batch=899, step=16500, lr=0.131500, batch loss=0.150703, epoch loss=1.270363 Batch=959, step=16560, lr=0.131250, batch loss=0.042735, epoch loss=1.313098 Batch=1019, step=16620, lr=0.131000, batch loss=0.097389, epoch loss=1.410487 Batch=1079, step=16680, lr=0.130750, batch loss=0.028415, epoch loss=1.438902 Batch=1139, step=16740, lr=0.130500, batch loss=0.054500, epoch loss=1.493403 Batch=1199, step=16800, lr=0.130250, batch loss=0.029800, epoch loss=1.523203 Epoch=13, step=16800, lr=0.130250, epoch loss=1.523203 Batch=59, step=16860, lr=0.130000, batch loss=0.032728, epoch loss=0.032728 Batch=119, step=16920, lr=0.129750, batch loss=0.038555, epoch loss=0.071283 Batch=179, step=16980, lr=0.129500, batch loss=0.041238, epoch loss=0.112521 Batch=239, step=17040, lr=0.129250, batch loss=0.055572, epoch loss=0.168093 Batch=299, step=17100, lr=0.129000, batch loss=0.027105, epoch loss=0.195198 Batch=359, step=17160, lr=0.128750, batch loss=0.042945, epoch loss=0.238143 Batch=419, step=17220, lr=0.128500, batch loss=0.057058, epoch loss=0.295201 Batch=479, step=17280, lr=0.128250, batch loss=0.023293, epoch loss=0.318494 Batch=539, step=17340, lr=0.128000, batch loss=0.028092, epoch loss=0.346586 Batch=599, step=17400, lr=0.127750, batch loss=0.032937, epoch loss=0.379523 Batch=659, step=17460, lr=0.127500, batch loss=0.042612, epoch loss=0.422135 Batch=719, step=17520, lr=0.127250, batch loss=0.064653, epoch loss=0.486788 Batch=779, step=17580, lr=0.127000, batch loss=0.125279, epoch loss=0.612067 Batch=839, step=17640, lr=0.126750, batch loss=0.103342, epoch loss=0.715409 Batch=899, step=17700, lr=0.126500, batch loss=0.147043, epoch loss=0.862452 Batch=959, step=17760, lr=0.126250, batch loss=0.018723, epoch loss=0.881175 Batch=1019, step=17820, lr=0.126000, batch loss=0.038506, epoch loss=0.919681 Batch=1079, step=17880, lr=0.125750, batch loss=0.018153, epoch loss=0.937834 Batch=1139, step=17940, lr=0.125500, batch loss=0.044643, epoch loss=0.982476 Batch=1199, step=18000, lr=0.125250, batch loss=0.017354, epoch loss=0.999830 Epoch=14, step=18000, lr=0.125250, epoch loss=0.999830 Batch=59, step=18060, lr=0.125000, batch loss=0.010644, epoch loss=0.010644 Batch=119, step=18120, lr=0.124750, batch loss=0.017911, epoch loss=0.028555 Batch=179, step=18180, lr=0.124500, batch loss=0.028633, epoch loss=0.057188 Batch=239, step=18240, lr=0.124250, batch loss=0.032842, epoch loss=0.090029 Batch=299, step=18300, lr=0.123750, batch loss=0.008456, epoch loss=0.098485 Batch=359, step=18360, lr=0.123750, batch loss=0.022444, epoch loss=0.120929 Batch=419, step=18420, lr=0.123500, batch loss=0.025449, epoch loss=0.146378 Batch=479, step=18480, lr=0.123250, batch loss=0.012440, epoch loss=0.158818 Batch=539, step=18540, lr=0.123000, batch loss=0.019766, epoch loss=0.178584 Batch=599, step=18600, lr=0.122750, batch loss=0.025777, epoch loss=0.204361 Batch=659, step=18660, lr=0.122500, batch loss=0.023880, epoch loss=0.228241 Batch=719, step=18720, lr=0.122250, batch loss=0.049462, epoch loss=0.277704 Batch=779, step=18780, lr=0.122000, batch loss=0.093594, epoch loss=0.371298 Batch=839, step=18840, lr=0.121750, batch loss=0.064152, epoch loss=0.435450 Batch=899, step=18900, lr=0.121500, batch loss=0.077790, epoch loss=0.513240 Batch=959, step=18960, lr=0.121250, batch loss=0.013465, epoch loss=0.526705 Batch=1019, step=19020, lr=0.121000, batch loss=0.022275, epoch loss=0.548980 Batch=1079, step=19080, lr=0.120750, batch loss=0.008279, epoch loss=0.557259 Batch=1139, step=19140, lr=0.120500, batch loss=0.023381, epoch loss=0.580640 Batch=1199, step=19200, lr=0.120250, batch loss=0.009472, epoch loss=0.590112 Epoch=15, step=19200, lr=0.120250, epoch loss=0.590112 Batch=59, step=19260, lr=0.120000, batch loss=0.004139, epoch loss=0.004139 Batch=119, step=19320, lr=0.119750, batch loss=0.012428, epoch loss=0.016567 Batch=179, step=19380, lr=0.119500, batch loss=0.031748, epoch loss=0.048315 Batch=239, step=19440, lr=0.119250, batch loss=0.021421, epoch loss=0.069736 Batch=299, step=19500, lr=0.119000, batch loss=0.004635, epoch loss=0.074371 Batch=359, step=19560, lr=0.118750, batch loss=0.016174, epoch loss=0.090545 Batch=419, step=19620, lr=0.118500, batch loss=0.019863, epoch loss=0.110408 Batch=479, step=19680, lr=0.118250, batch loss=0.005637, epoch loss=0.116045 Batch=539, step=19740, lr=0.118000, batch loss=0.016287, epoch loss=0.132333 Batch=599, step=19800, lr=0.117750, batch loss=0.021781, epoch loss=0.154113 Batch=659, step=19860, lr=0.117500, batch loss=0.019311, epoch loss=0.173424 Batch=719, step=19920, lr=0.117250, batch loss=0.046944, epoch loss=0.220368 Batch=779, step=19980, lr=0.117000, batch loss=0.087918, epoch loss=0.308287 Batch=839, step=20040, lr=0.116750, batch loss=0.031142, epoch loss=0.339429 Batch=899, step=20100, lr=0.116500, batch loss=0.031258, epoch loss=0.370687 Batch=959, step=20160, lr=0.116250, batch loss=0.010802, epoch loss=0.381489 Batch=1019, step=20220, lr=0.116000, batch loss=0.012196, epoch loss=0.393684 Batch=1079, step=20280, lr=0.115750, batch loss=0.005258, epoch loss=0.398942 Batch=1139, step=20340, lr=0.115500, batch loss=0.018727, epoch loss=0.417669 Batch=1199, step=20400, lr=0.115250, batch loss=0.007524, epoch loss=0.425193 Epoch=16, step=20400, lr=0.115250, epoch loss=0.425193 Batch=59, step=20460, lr=0.115000, batch loss=0.003342, epoch loss=0.003342 Batch=119, step=20520, lr=0.114750, batch loss=0.008392, epoch loss=0.011734 Batch=179, step=20580, lr=0.114500, batch loss=0.015303, epoch loss=0.027037 Batch=239, step=20640, lr=0.114250, batch loss=0.013058, epoch loss=0.040095 Batch=299, step=20700, lr=0.114000, batch loss=0.003356, epoch loss=0.043451 Batch=359, step=20760, lr=0.113750, batch loss=0.013044, epoch loss=0.056495 Batch=419, step=20820, lr=0.113500, batch loss=0.016293, epoch loss=0.072787 Batch=479, step=20880, lr=0.113250, batch loss=0.005725, epoch loss=0.078512 Batch=539, step=20940, lr=0.113000, batch loss=0.015946, epoch loss=0.094458 Batch=599, step=21000, lr=0.112750, batch loss=0.017827, epoch loss=0.112285 Batch=659, step=21060, lr=0.112500, batch loss=0.015450, epoch loss=0.127735 Batch=719, step=21120, lr=0.112250, batch loss=0.039520, epoch loss=0.167255 Batch=779, step=21180, lr=0.112000, batch loss=0.064761, epoch loss=0.232016 Batch=839, step=21240, lr=0.111750, batch loss=0.024363, epoch loss=0.256379 Batch=899, step=21300, lr=0.111500, batch loss=0.027419, epoch loss=0.283798 Batch=959, step=21360, lr=0.111250, batch loss=0.010308, epoch loss=0.294106 Batch=1019, step=21420, lr=0.111000, batch loss=0.010292, epoch loss=0.304397 Batch=1079, step=21480, lr=0.110750, batch loss=0.002070, epoch loss=0.306468 Batch=1139, step=21540, lr=0.110500, batch loss=0.012067, epoch loss=0.318535 Batch=1199, step=21600, lr=0.110000, batch loss=0.004799, epoch loss=0.323333 Epoch=17, step=21600, lr=0.110000, epoch loss=0.323333 Batch=59, step=21660, lr=0.110000, batch loss=0.002376, epoch loss=0.002376 Batch=119, step=21720, lr=0.109500, batch loss=0.006642, epoch loss=0.009018 Batch=179, step=21780, lr=0.109500, batch loss=0.012294, epoch loss=0.021312 Batch=239, step=21840, lr=0.109250, batch loss=0.009141, epoch loss=0.030453 Batch=299, step=21900, lr=0.109000, batch loss=0.004393, epoch loss=0.034846 Batch=359, step=21960, lr=0.108750, batch loss=0.013016, epoch loss=0.047862 Batch=419, step=22020, lr=0.108500, batch loss=0.011866, epoch loss=0.059729 Batch=479, step=22080, lr=0.108250, batch loss=0.003729, epoch loss=0.063458 Batch=539, step=22140, lr=0.108000, batch loss=0.016412, epoch loss=0.079870 Batch=599, step=22200, lr=0.107750, batch loss=0.015366, epoch loss=0.095236 Batch=659, step=22260, lr=0.107500, batch loss=0.012961, epoch loss=0.108197 Batch=719, step=22320, lr=0.107250, batch loss=0.021748, epoch loss=0.129946 Batch=779, step=22380, lr=0.107000, batch loss=0.029686, epoch loss=0.159631 Batch=839, step=22440, lr=0.106750, batch loss=0.025242, epoch loss=0.184873 Batch=899, step=22500, lr=0.106500, batch loss=0.026117, epoch loss=0.210990 Batch=959, step=22560, lr=0.106250, batch loss=0.008899, epoch loss=0.219889 Batch=1019, step=22620, lr=0.106000, batch loss=0.008860, epoch loss=0.228748 Batch=1079, step=22680, lr=0.105750, batch loss=0.000557, epoch loss=0.229305 Batch=1139, step=22740, lr=0.105500, batch loss=0.010456, epoch loss=0.239762 Batch=1199, step=22800, lr=0.105250, batch loss=0.004601, epoch loss=0.244362 Epoch=18, step=22800, lr=0.105250, epoch loss=0.244362 Batch=59, step=22860, lr=0.105000, batch loss=0.001645, epoch loss=0.001645 Batch=119, step=22920, lr=0.104750, batch loss=0.005576, epoch loss=0.007220 Batch=179, step=22980, lr=0.104500, batch loss=0.011197, epoch loss=0.018417 Batch=239, step=23040, lr=0.104250, batch loss=0.010774, epoch loss=0.029191 Batch=299, step=23100, lr=0.104000, batch loss=0.009070, epoch loss=0.038261 Batch=359, step=23160, lr=0.103500, batch loss=0.012601, epoch loss=0.050862 Batch=419, step=23220, lr=0.103250, batch loss=0.010597, epoch loss=0.061459 Batch=479, step=23280, lr=0.103250, batch loss=0.002600, epoch loss=0.064058 Batch=539, step=23340, lr=0.103000, batch loss=0.016952, epoch loss=0.081010 Batch=599, step=23400, lr=0.102750, batch loss=0.013539, epoch loss=0.094549 Batch=659, step=23460, lr=0.102500, batch loss=0.011441, epoch loss=0.105990 Batch=719, step=23520, lr=0.102250, batch loss=0.011871, epoch loss=0.117861 Batch=779, step=23580, lr=0.102000, batch loss=0.022420, epoch loss=0.140281 Batch=839, step=23640, lr=0.101750, batch loss=0.025052, epoch loss=0.165333 Batch=899, step=23700, lr=0.101500, batch loss=0.023166, epoch loss=0.188499 Batch=959, step=23760, lr=0.101250, batch loss=0.008408, epoch loss=0.196907 Batch=1019, step=23820, lr=0.101000, batch loss=0.008004, epoch loss=0.204911 Batch=1079, step=23880, lr=0.100750, batch loss=0.000814, epoch loss=0.205725 Batch=1139, step=23940, lr=0.100500, batch loss=0.009483, epoch loss=0.215208 Batch=1199, step=24000, lr=0.100250, batch loss=0.004706, epoch loss=0.219914 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219914 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 2025-05-20 19:36.44: Job failed: Failed: Build failed