2025-05-20 15:37.45: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0c149bf3ecd92e734e4ff83fd0bdeb75f6d733c8) (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 0c149bf3 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 15:37.45: 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 15:37.45: 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 15:37.45: Waiting for resource in pool OCluster 2025-05-20 15:37.45: Waiting for worker… 2025-05-20 15:39.51: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions HEAD is now at 0c149bf3 New executable read_config, and finally a better logging test setup with per-backend targets; important: test/ocannl_config -> test/config/ocannl_config (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-20 15:40.51 ---> 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% | 170.2 KiB/s | 23.7 KiB | 00m00s Fedora 42 - x86_64 100% | 179.2 KiB/s | 24.9 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 5.4 MiB/s | 5.2 MiB | 00m01s Fedora 42 - x86_64 100% | 364.4 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 15:41.07 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-20 15:41.08 ---> 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 2025-05-20 15:41.52 ---> 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 15:41.52 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 15:41.53 ---> 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 15:42.21 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 15:42.22 ---> 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 15:42.24 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 15:42.24 ---> 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% | 575.6 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 152.3 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 21.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 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 2025-05-20 15:42.46 ---> 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 camlp-streams.5.0.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (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 ppx_compare.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 ppxlib.0.35.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.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 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 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 cppo.1.8.0 -> 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 ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> 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 mdx.2.5.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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 15:45.04 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f" /src: (copy (src .) (dst /src)) 2025-05-20 15:45.05 ---> saved as "2d2d739e1e01e541c86034c4249a5f6d60a5600820eb0738ac11c6a216c2e822" /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 File "test/dune", lines 42-57, characters 0-506: 42 | (rule 43 | (target "%{read:config/ocannl_backend.txt}-0-0.log.actual") 44 | (action .... 55 | "\\1[0]{=MAYBE UNINITIALIZED} = " 56 | "%{read:config/ocannl_backend.txt}-0-0.log.actual" 57 | "%{read:config/ocannl_backend.txt}-0-0.log.actual")))) (cd _build/default/test && ../tools/minised.exe 0x[0-9a-f]+ 0xNNNN log_files/multicore_cc-0-0.log multicore_cc-0-0.log.actual) Fatal error: exception Sys_error("log_files/multicore_cc-0-0.log: No such file or directory") (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/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 '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 (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 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=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178000, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189424, epoch loss=2.102172 Batch=599, step=5400, lr=0.177750, batch loss=0.231054, epoch loss=2.333226 Batch=659, step=5460, lr=0.177500, batch loss=0.323571, epoch loss=2.656797 Batch=719, step=5520, lr=0.177250, batch loss=0.325888, epoch loss=2.982685 Batch=779, step=5580, lr=0.177000, batch loss=0.343153, epoch loss=3.325838 Batch=839, step=5640, lr=0.176750, batch loss=0.309363, epoch loss=3.635201 Batch=899, step=5700, lr=0.176500, batch loss=0.273146, epoch loss=3.908347 Batch=959, step=5760, lr=0.176250, batch loss=0.214962, epoch loss=4.123309 Batch=1019, step=5820, lr=0.176000, batch loss=0.339084, epoch loss=4.462393 Batch=1079, step=5880, lr=0.175750, batch loss=0.207893, epoch loss=4.670286 Batch=1139, step=5940, lr=0.175500, batch loss=0.240025, epoch loss=4.910311 Batch=1199, step=6000, lr=0.175250, batch loss=0.186853, epoch loss=5.097164 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097164 Batch=59, step=6060, lr=0.174750, batch loss=0.230573, epoch loss=0.230573 Batch=119, step=6120, lr=0.174500, batch loss=0.194149, epoch loss=0.424721 Batch=179, step=6180, lr=0.174500, batch loss=0.201536, epoch loss=0.626257 Batch=239, step=6240, lr=0.174000, batch loss=0.302407, epoch loss=0.928664 Batch=299, step=6300, lr=0.173750, batch loss=0.203820, epoch loss=1.132484 Batch=359, step=6360, lr=0.173750, batch loss=0.266127, epoch loss=1.398611 Batch=419, step=6420, lr=0.173500, batch loss=0.265274, epoch loss=1.663885 Batch=479, step=6480, lr=0.173250, batch loss=0.243335, epoch loss=1.907220 Batch=539, step=6540, lr=0.173000, batch loss=0.192957, epoch loss=2.100177 Batch=599, step=6600, lr=0.172750, batch loss=0.234519, epoch loss=2.334696 Batch=659, step=6660, lr=0.172250, batch loss=0.312100, epoch loss=2.646796 Batch=719, step=6720, lr=0.172250, batch loss=0.314214, epoch loss=2.961011 Batch=779, step=6780, lr=0.172000, batch loss=0.333242, epoch loss=3.294252 Batch=839, step=6840, lr=0.171750, batch loss=0.303751, epoch loss=3.598003 Batch=899, step=6900, lr=0.171500, batch loss=0.268485, epoch loss=3.866488 Batch=959, step=6960, lr=0.171250, batch loss=0.211015, epoch loss=4.077503 Batch=1019, step=7020, lr=0.171000, batch loss=0.329785, epoch loss=4.407288 Batch=1079, step=7080, lr=0.170750, batch loss=0.180623, epoch loss=4.587911 Batch=1139, step=7140, lr=0.170500, batch loss=0.216093, epoch loss=4.804005 Batch=1199, step=7200, lr=0.170250, batch loss=0.185676, epoch loss=4.989680 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989680 Batch=59, step=7260, lr=0.170000, batch loss=0.232488, epoch loss=0.232488 Batch=119, step=7320, lr=0.169750, batch loss=0.184593, epoch loss=0.417081 Batch=179, step=7380, lr=0.169500, batch loss=0.196609, epoch loss=0.613690 Batch=239, step=7440, lr=0.169250, batch loss=0.291677, epoch loss=0.905367 Batch=299, step=7500, lr=0.169000, batch loss=0.200903, epoch loss=1.106269 Batch=359, step=7560, lr=0.168750, batch loss=0.258543, epoch loss=1.364812 Batch=419, step=7620, lr=0.168500, batch loss=0.257386, epoch loss=1.622198 Batch=479, step=7680, lr=0.168250, batch loss=0.235329, epoch loss=1.857527 Batch=539, step=7740, lr=0.168000, batch loss=0.188570, epoch loss=2.046097 Batch=599, step=7800, lr=0.167750, batch loss=0.223181, epoch loss=2.269278 Batch=659, step=7860, lr=0.167250, batch loss=0.306337, epoch loss=2.575615 Batch=719, step=7920, lr=0.167250, batch loss=0.308654, epoch loss=2.884269 Batch=779, step=7980, lr=0.167000, batch loss=0.330631, epoch loss=3.214900 Batch=839, step=8040, lr=0.166500, batch loss=0.292027, epoch loss=3.506927 Batch=899, step=8100, lr=0.166250, batch loss=0.262261, epoch loss=3.769188 Batch=959, step=8160, lr=0.166000, batch loss=0.192421, epoch loss=3.961609 Batch=1019, step=8220, lr=0.166000, batch loss=0.291075, epoch loss=4.252683 Batch=1079, step=8280, lr=0.165750, batch loss=0.184322, epoch loss=4.437006 Batch=1139, step=8340, lr=0.165500, batch loss=0.216251, epoch loss=4.653257 Batch=1199, step=8400, lr=0.165250, batch loss=0.172754, epoch loss=4.826011 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826011 Batch=59, step=8460, lr=0.165000, batch loss=0.212089, epoch loss=0.212089 Batch=119, step=8520, lr=0.164750, batch loss=0.178015, epoch loss=0.390105 Batch=179, step=8580, lr=0.164500, batch loss=0.188616, epoch loss=0.578721 Batch=239, step=8640, lr=0.164250, batch loss=0.278039, epoch loss=0.856760 Batch=299, step=8700, lr=0.164000, batch loss=0.193982, epoch loss=1.050742 Batch=359, step=8760, lr=0.163750, batch loss=0.247145, epoch loss=1.297886 Batch=419, step=8820, lr=0.163500, batch loss=0.245421, epoch loss=1.543307 Batch=479, step=8880, lr=0.163250, batch loss=0.229249, epoch loss=1.772557 Batch=539, step=8940, lr=0.163000, batch loss=0.177718, epoch loss=1.950275 Batch=599, step=9000, lr=0.162500, batch loss=0.217589, epoch loss=2.167864 Batch=659, step=9060, lr=0.162500, batch loss=0.295080, epoch loss=2.462943 Batch=719, step=9120, lr=0.162250, batch loss=0.299194, epoch loss=2.762138 Batch=779, step=9180, lr=0.162000, batch loss=0.316325, epoch loss=3.078463 Batch=839, step=9240, lr=0.161750, batch loss=0.281909, epoch loss=3.360372 Batch=899, step=9300, lr=0.161500, batch loss=0.250747, epoch loss=3.611119 Batch=959, step=9360, lr=0.161250, batch loss=0.197832, epoch loss=3.808951 Batch=1019, step=9420, lr=0.161000, batch loss=0.307378, epoch loss=4.116329 Batch=1079, step=9480, lr=0.160750, batch loss=0.197020, epoch loss=4.313348 Batch=1139, step=9540, lr=0.160500, batch loss=0.213438, epoch loss=4.526786 Batch=1199, step=9600, lr=0.160250, batch loss=0.167264, epoch loss=4.694051 Epoch=7, step=9600, lr=0.160250, epoch loss=4.694051 Batch=59, step=9660, lr=0.160000, batch loss=0.200846, epoch loss=0.200846 Batch=119, step=9720, lr=0.159750, batch loss=0.164842, epoch loss=0.365688 Batch=179, step=9780, lr=0.159500, batch loss=0.178483, epoch loss=0.544171 Batch=239, step=9840, lr=0.159000, batch loss=0.262600, epoch loss=0.806771 Batch=299, step=9900, lr=0.158750, batch loss=0.181190, epoch loss=0.987960 Batch=359, step=9960, lr=0.158750, batch loss=0.241301, epoch loss=1.229261 Batch=419, step=10020, lr=0.158250, batch loss=0.233339, epoch loss=1.462600 Batch=479, step=10080, lr=0.158000, batch loss=0.213243, epoch loss=1.675843 Batch=539, step=10140, lr=0.158000, batch loss=0.172136, epoch loss=1.847980 Batch=599, step=10200, lr=0.157750, batch loss=0.200919, epoch loss=2.048898 Batch=659, step=10260, lr=0.157500, batch loss=0.281454, epoch loss=2.330352 Batch=719, step=10320, lr=0.157250, batch loss=0.286288, epoch loss=2.616640 Batch=779, step=10380, lr=0.157000, batch loss=0.294838, epoch loss=2.911478 Batch=839, step=10440, lr=0.156750, batch loss=0.266159, epoch loss=3.177637 Batch=899, step=10500, lr=0.156500, batch loss=0.244249, epoch loss=3.421886 Batch=959, step=10560, lr=0.156250, batch loss=0.197597, epoch loss=3.619482 Batch=1019, step=10620, lr=0.156000, batch loss=0.279767, epoch loss=3.899249 Batch=1079, step=10680, lr=0.155750, batch loss=0.167564, epoch loss=4.066813 Batch=1139, step=10740, lr=0.155500, batch loss=0.199705, epoch loss=4.266519 Batch=1199, step=10800, lr=0.155250, batch loss=0.154087, epoch loss=4.420606 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420606 Batch=59, step=10860, lr=0.155000, batch loss=0.180019, epoch loss=0.180019 Batch=119, step=10920, lr=0.154750, batch loss=0.150699, epoch loss=0.330718 Batch=179, step=10980, lr=0.154500, batch loss=0.166463, epoch loss=0.497181 Batch=239, step=11040, lr=0.154250, batch loss=0.240745, epoch loss=0.737926 Batch=299, step=11100, lr=0.153750, batch loss=0.172188, epoch loss=0.910114 Batch=359, step=11160, lr=0.153750, batch loss=0.220683, epoch loss=1.130797 Batch=419, step=11220, lr=0.153500, batch loss=0.228671, epoch loss=1.359468 Batch=479, step=11280, lr=0.153250, batch loss=0.203851, epoch loss=1.563319 Batch=539, step=11340, lr=0.153000, batch loss=0.158910, epoch loss=1.722228 Batch=599, step=11400, lr=0.152750, batch loss=0.179458, epoch loss=1.901686 Batch=659, step=11460, lr=0.152250, batch loss=0.265493, epoch loss=2.167180 Batch=719, step=11520, lr=0.152000, batch loss=0.252963, epoch loss=2.420143 Batch=779, step=11580, lr=0.151750, batch loss=0.272309, epoch loss=2.692452 Batch=839, step=11640, lr=0.151500, batch loss=0.255340, epoch loss=2.947793 Batch=899, step=11700, lr=0.151250, batch loss=0.212337, epoch loss=3.160130 Batch=959, step=11760, lr=0.151000, batch loss=0.164825, epoch loss=3.324955 Batch=1019, step=11820, lr=0.151000, batch loss=0.270107, epoch loss=3.595062 Batch=1079, step=11880, lr=0.150750, batch loss=0.153351, epoch loss=3.748414 Batch=1139, step=11940, lr=0.150250, batch loss=0.184170, epoch loss=3.932584 Batch=1199, step=12000, lr=0.150000, batch loss=0.139684, epoch loss=4.072268 Epoch=9, step=12000, lr=0.150000, epoch loss=4.072268 Batch=59, step=12060, lr=0.150000, batch loss=0.158717, epoch loss=0.158717 Batch=119, step=12120, lr=0.149500, batch loss=0.128034, epoch loss=0.286750 Batch=179, step=12180, lr=0.149500, batch loss=0.152278, epoch loss=0.439028 Batch=239, step=12240, lr=0.149250, batch loss=0.221147, epoch loss=0.660175 Batch=299, step=12300, lr=0.149000, batch loss=0.143967, epoch loss=0.804142 Batch=359, step=12360, lr=0.148750, batch loss=0.196732, epoch loss=1.000874 Batch=419, step=12420, lr=0.148500, batch loss=0.209006, epoch loss=1.209880 Batch=479, step=12480, lr=0.148250, batch loss=0.176429, epoch loss=1.386309 Batch=539, step=12540, lr=0.148000, batch loss=0.144198, epoch loss=1.530507 Batch=599, step=12600, lr=0.147750, batch loss=0.152182, epoch loss=1.682688 Batch=659, step=12660, lr=0.147500, batch loss=0.236039, epoch loss=1.918727 Batch=719, step=12720, lr=0.147250, batch loss=0.234620, epoch loss=2.153347 Batch=779, step=12780, lr=0.147000, batch loss=0.262993, epoch loss=2.416340 Batch=839, step=12840, lr=0.146750, batch loss=0.230672, epoch loss=2.647012 Batch=899, step=12900, lr=0.146500, batch loss=0.192097, epoch loss=2.839109 Batch=959, step=12960, lr=0.146250, batch loss=0.164351, epoch loss=3.003460 Batch=1019, step=13020, lr=0.146000, batch loss=0.259080, epoch loss=3.262540 Batch=1079, step=13080, lr=0.145750, batch loss=0.118295, epoch loss=3.380835 Batch=1139, step=13140, lr=0.145500, batch loss=0.159853, epoch loss=3.540688 Batch=1199, step=13200, lr=0.145250, batch loss=0.119025, epoch loss=3.659713 Epoch=10, step=13200, lr=0.145250, epoch loss=3.659713 Batch=59, step=13260, lr=0.145000, batch loss=0.140628, epoch loss=0.140628 Batch=119, step=13320, lr=0.144750, batch loss=0.121946, epoch loss=0.262574 Batch=179, step=13380, lr=0.144500, batch loss=0.127992, epoch loss=0.390566 Batch=239, step=13440, lr=0.144250, batch loss=0.192820, epoch loss=0.583386 Batch=299, step=13500, lr=0.144000, batch loss=0.116096, epoch loss=0.699482 Batch=359, step=13560, lr=0.143750, batch loss=0.164313, epoch loss=0.863795 Batch=419, step=13620, lr=0.143500, batch loss=0.173754, epoch loss=1.037549 Batch=479, step=13680, lr=0.143250, batch loss=0.141734, epoch loss=1.179283 Batch=539, step=13740, lr=0.143000, batch loss=0.119626, epoch loss=1.298909 Batch=599, step=13800, lr=0.142750, batch loss=0.119392, epoch loss=1.418301 Batch=659, step=13860, lr=0.142500, batch loss=0.177314, epoch loss=1.595615 Batch=719, step=13920, lr=0.142250, batch loss=0.173997, epoch loss=1.769613 Batch=779, step=13980, lr=0.142000, batch loss=0.195778, epoch loss=1.965391 Batch=839, step=14040, lr=0.141750, batch loss=0.185009, epoch loss=2.150400 Batch=899, step=14100, lr=0.141500, batch loss=0.159022, epoch loss=2.309422 Batch=959, step=14160, lr=0.141000, batch loss=0.129831, epoch loss=2.439253 Batch=1019, step=14220, lr=0.141000, batch loss=0.267972, epoch loss=2.707224 Batch=1079, step=14280, lr=0.140750, batch loss=0.084599, epoch loss=2.791824 Batch=1139, step=14340, lr=0.140500, batch loss=0.131574, epoch loss=2.923398 Batch=1199, step=14400, lr=0.140250, batch loss=0.092190, epoch loss=3.015588 Epoch=11, step=14400, lr=0.140250, epoch loss=3.015588 Batch=59, step=14460, lr=0.140000, batch loss=0.118036, epoch loss=0.118036 Batch=119, step=14520, lr=0.139750, batch loss=0.105947, epoch loss=0.223983 Batch=179, step=14580, lr=0.139500, batch loss=0.102917, epoch loss=0.326899 Batch=239, step=14640, lr=0.139250, batch loss=0.141412, epoch loss=0.468312 Batch=299, step=14700, lr=0.139000, batch loss=0.076639, epoch loss=0.544951 Batch=359, step=14760, lr=0.138750, batch loss=0.119681, epoch loss=0.664632 Batch=419, step=14820, lr=0.138500, batch loss=0.133093, epoch loss=0.797724 Batch=479, step=14880, lr=0.138250, batch loss=0.096902, epoch loss=0.894626 Batch=539, step=14940, lr=0.137750, batch loss=0.092679, epoch loss=0.987305 Batch=599, step=15000, lr=0.137750, batch loss=0.083636, epoch loss=1.070941 Batch=659, step=15060, lr=0.137250, batch loss=0.125745, epoch loss=1.196686 Batch=719, step=15120, lr=0.137250, batch loss=0.130015, epoch loss=1.326701 Batch=779, step=15180, lr=0.137000, batch loss=0.159406, epoch loss=1.486107 Batch=839, step=15240, lr=0.136750, batch loss=0.159517, epoch loss=1.645624 Batch=899, step=15300, lr=0.136250, batch loss=0.287348, epoch loss=1.932972 Batch=959, step=15360, lr=0.136250, batch loss=0.059933, epoch loss=1.992905 Batch=1019, step=15420, lr=0.136000, batch loss=0.135493, epoch loss=2.128398 Batch=1079, step=15480, lr=0.135750, batch loss=0.042551, epoch loss=2.170948 Batch=1139, step=15540, lr=0.135500, batch loss=0.094607, epoch loss=2.265555 Batch=1199, step=15600, lr=0.135000, batch loss=0.058748, epoch loss=2.324303 Epoch=12, step=15600, lr=0.135000, epoch loss=2.324303 Batch=59, step=15660, lr=0.135000, batch loss=0.072836, epoch loss=0.072836 Batch=119, step=15720, lr=0.134750, batch loss=0.105830, epoch loss=0.178666 Batch=179, step=15780, lr=0.134500, batch loss=0.087173, epoch loss=0.265839 Batch=239, step=15840, lr=0.134250, batch loss=0.092201, epoch loss=0.358040 Batch=299, step=15900, lr=0.134000, batch loss=0.039999, epoch loss=0.398039 Batch=359, step=15960, lr=0.133750, batch loss=0.077732, epoch loss=0.475770 Batch=419, step=16020, lr=0.133500, batch loss=0.079614, epoch loss=0.555384 Batch=479, step=16080, lr=0.133250, batch loss=0.066222, epoch loss=0.621606 Batch=539, step=16140, lr=0.133000, batch loss=0.055381, epoch loss=0.676987 Batch=599, step=16200, lr=0.132750, batch loss=0.101680, epoch loss=0.778668 Batch=659, step=16260, lr=0.132500, batch loss=0.075571, epoch loss=0.854239 Batch=719, step=16320, lr=0.132250, batch loss=0.072222, epoch loss=0.926460 Batch=779, step=16380, lr=0.132000, batch loss=0.091470, epoch loss=1.017930 Batch=839, step=16440, lr=0.131750, batch loss=0.115417, epoch loss=1.133347 Batch=899, step=16500, lr=0.131500, batch loss=0.166714, epoch loss=1.300061 Batch=959, step=16560, lr=0.131250, batch loss=0.042737, epoch loss=1.342798 Batch=1019, step=16620, lr=0.131000, batch loss=0.101914, epoch loss=1.444713 Batch=1079, step=16680, lr=0.130750, batch loss=0.028799, epoch loss=1.473512 Batch=1139, step=16740, lr=0.130500, batch loss=0.065212, epoch loss=1.538723 Batch=1199, step=16800, lr=0.130250, batch loss=0.029450, epoch loss=1.568173 Epoch=13, step=16800, lr=0.130250, epoch loss=1.568173 Batch=59, step=16860, lr=0.130000, batch loss=0.032625, epoch loss=0.032625 Batch=119, step=16920, lr=0.129750, batch loss=0.034268, epoch loss=0.066894 Batch=179, step=16980, lr=0.129500, batch loss=0.040939, epoch loss=0.107833 Batch=239, step=17040, lr=0.129250, batch loss=0.052502, epoch loss=0.160335 Batch=299, step=17100, lr=0.129000, batch loss=0.018522, epoch loss=0.178857 Batch=359, step=17160, lr=0.128750, batch loss=0.041141, epoch loss=0.219997 Batch=419, step=17220, lr=0.128500, batch loss=0.059564, epoch loss=0.279561 Batch=479, step=17280, lr=0.128250, batch loss=0.025405, epoch loss=0.304966 Batch=539, step=17340, lr=0.128000, batch loss=0.035286, epoch loss=0.340251 Batch=599, step=17400, lr=0.127750, batch loss=0.033206, epoch loss=0.373458 Batch=659, step=17460, lr=0.127500, batch loss=0.043150, epoch loss=0.416608 Batch=719, step=17520, lr=0.127250, batch loss=0.038207, epoch loss=0.454815 Batch=779, step=17580, lr=0.127000, batch loss=0.037076, epoch loss=0.491892 Batch=839, step=17640, lr=0.126750, batch loss=0.058840, epoch loss=0.550732 Batch=899, step=17700, lr=0.126500, batch loss=0.073142, epoch loss=0.623874 Batch=959, step=17760, lr=0.126000, batch loss=0.049268, epoch loss=0.673142 Batch=1019, step=17820, lr=0.126000, batch loss=0.124715, epoch loss=0.797858 Batch=1079, step=17880, lr=0.125750, batch loss=0.017820, epoch loss=0.815677 Batch=1139, step=17940, lr=0.125500, batch loss=0.039245, epoch loss=0.854923 Batch=1199, step=18000, lr=0.125250, batch loss=0.015456, epoch loss=0.870379 Epoch=14, step=18000, lr=0.125250, epoch loss=0.870379 Batch=59, step=18060, lr=0.125000, batch loss=0.013948, epoch loss=0.013948 Batch=119, step=18120, lr=0.124750, batch loss=0.031717, epoch loss=0.045665 Batch=179, step=18180, lr=0.124500, batch loss=0.092673, epoch loss=0.138338 Batch=239, step=18240, lr=0.124250, batch loss=0.044362, epoch loss=0.182700 Batch=299, step=18300, lr=0.124000, batch loss=0.010612, epoch loss=0.193312 Batch=359, step=18360, lr=0.123750, batch loss=0.027429, epoch loss=0.220741 Batch=419, step=18420, lr=0.123500, batch loss=0.030585, epoch loss=0.251325 Batch=479, step=18480, lr=0.123250, batch loss=0.014497, epoch loss=0.265823 Batch=539, step=18540, lr=0.123000, batch loss=0.034854, epoch loss=0.300676 Batch=599, step=18600, lr=0.122750, batch loss=0.038563, epoch loss=0.339239 Batch=659, step=18660, lr=0.122500, batch loss=0.026057, epoch loss=0.365296 Batch=719, step=18720, lr=0.122250, batch loss=0.051447, epoch loss=0.416744 Batch=779, step=18780, lr=0.121750, batch loss=0.098332, epoch loss=0.515076 Batch=839, step=18840, lr=0.121750, batch loss=0.060847, epoch loss=0.575923 Batch=899, step=18900, lr=0.121500, batch loss=0.071964, epoch loss=0.647886 Batch=959, step=18960, lr=0.121250, batch loss=0.014219, epoch loss=0.662106 Batch=1019, step=19020, lr=0.121000, batch loss=0.018098, epoch loss=0.680203 Batch=1079, step=19080, lr=0.120750, batch loss=0.005042, epoch loss=0.685246 Batch=1139, step=19140, lr=0.120500, batch loss=0.024166, epoch loss=0.709412 Batch=1199, step=19200, lr=0.120250, batch loss=0.010232, epoch loss=0.719644 Epoch=15, step=19200, lr=0.120250, epoch loss=0.719644 Batch=59, step=19260, lr=0.120000, batch loss=0.005070, epoch loss=0.005070 Batch=119, step=19320, lr=0.119750, batch loss=0.019733, epoch loss=0.024803 Batch=179, step=19380, lr=0.119500, batch loss=0.046019, epoch loss=0.070822 Batch=239, step=19440, lr=0.119250, batch loss=0.020744, epoch loss=0.091566 Batch=299, step=19500, lr=0.118750, batch loss=0.005202, epoch loss=0.096768 Batch=359, step=19560, lr=0.118750, batch loss=0.017199, epoch loss=0.113967 Batch=419, step=19620, lr=0.118250, batch loss=0.019413, epoch loss=0.133379 Batch=479, step=19680, lr=0.118250, batch loss=0.010784, epoch loss=0.144163 Batch=539, step=19740, lr=0.118000, batch loss=0.020058, epoch loss=0.164222 Batch=599, step=19800, lr=0.117750, batch loss=0.020686, epoch loss=0.184907 Batch=659, step=19860, lr=0.117500, batch loss=0.018245, epoch loss=0.203152 Batch=719, step=19920, lr=0.117250, batch loss=0.015939, epoch loss=0.219092 Batch=779, step=19980, lr=0.117000, batch loss=0.018524, epoch loss=0.237615 Batch=839, step=20040, lr=0.116750, batch loss=0.031146, epoch loss=0.268761 Batch=899, step=20100, lr=0.116500, batch loss=0.026931, epoch loss=0.295692 Batch=959, step=20160, lr=0.116250, batch loss=0.012675, epoch loss=0.308367 Batch=1019, step=20220, lr=0.116000, batch loss=0.015809, epoch loss=0.324176 Batch=1079, step=20280, lr=0.115750, batch loss=0.003850, epoch loss=0.328026 Batch=1139, step=20340, lr=0.115500, batch loss=0.019893, epoch loss=0.347919 Batch=1199, step=20400, lr=0.115250, batch loss=0.007766, epoch loss=0.355686 Epoch=16, step=20400, lr=0.115250, epoch loss=0.355686 Batch=59, step=20460, lr=0.115000, batch loss=0.003574, epoch loss=0.003574 Batch=119, step=20520, lr=0.114750, batch loss=0.009760, epoch loss=0.013335 Batch=179, step=20580, lr=0.114500, batch loss=0.022760, epoch loss=0.036094 Batch=239, step=20640, lr=0.114250, batch loss=0.018077, epoch loss=0.054171 Batch=299, step=20700, lr=0.114000, batch loss=0.005385, epoch loss=0.059557 Batch=359, step=20760, lr=0.113750, batch loss=0.014481, epoch loss=0.074038 Batch=419, step=20820, lr=0.113500, batch loss=0.014675, epoch loss=0.088713 Batch=479, step=20880, lr=0.113250, batch loss=0.004716, epoch loss=0.093429 Batch=539, step=20940, lr=0.113000, batch loss=0.015790, epoch loss=0.109219 Batch=599, step=21000, lr=0.112750, batch loss=0.019676, epoch loss=0.128895 Batch=659, step=21060, lr=0.112500, batch loss=0.017071, epoch loss=0.145966 Batch=719, step=21120, lr=0.112250, batch loss=0.055915, epoch loss=0.201880 Batch=779, step=21180, lr=0.112000, batch loss=0.068790, epoch loss=0.270671 Batch=839, step=21240, lr=0.111750, batch loss=0.025234, epoch loss=0.295905 Batch=899, step=21300, lr=0.111500, batch loss=0.028779, epoch loss=0.324684 Batch=959, step=21360, lr=0.111250, batch loss=0.010616, epoch loss=0.335300 Batch=1019, step=21420, lr=0.111000, batch loss=0.010407, epoch loss=0.345708 Batch=1079, step=21480, lr=0.110750, batch loss=0.002553, epoch loss=0.348260 Batch=1139, step=21540, lr=0.110500, batch loss=0.012152, epoch loss=0.360412 Batch=1199, step=21600, lr=0.110250, batch loss=0.005148, epoch loss=0.365560 Epoch=17, step=21600, lr=0.110250, epoch loss=0.365560 Batch=59, step=21660, lr=0.110000, batch loss=0.002490, epoch loss=0.002490 Batch=119, step=21720, lr=0.109750, batch loss=0.007138, epoch loss=0.009628 Batch=179, step=21780, lr=0.109500, batch loss=0.013826, epoch loss=0.023454 Batch=239, step=21840, lr=0.109250, batch loss=0.010436, epoch loss=0.033890 Batch=299, step=21900, lr=0.109000, batch loss=0.001993, epoch loss=0.035883 Batch=359, step=21960, lr=0.108750, batch loss=0.011701, epoch loss=0.047584 Batch=419, step=22020, lr=0.108500, batch loss=0.011912, epoch loss=0.059495 Batch=479, step=22080, lr=0.108250, batch loss=0.002916, epoch loss=0.062411 Batch=539, step=22140, lr=0.108000, batch loss=0.020728, epoch loss=0.083139 Batch=599, step=22200, lr=0.107750, batch loss=0.020664, epoch loss=0.103803 Batch=659, step=22260, lr=0.107500, batch loss=0.015162, epoch loss=0.118965 Batch=719, step=22320, lr=0.107250, batch loss=0.029521, epoch loss=0.148486 Batch=779, step=22380, lr=0.107000, batch loss=0.043335, epoch loss=0.191821 Batch=839, step=22440, lr=0.106750, batch loss=0.021646, epoch loss=0.213467 Batch=899, step=22500, lr=0.106500, batch loss=0.022225, epoch loss=0.235692 Batch=959, step=22560, lr=0.106250, batch loss=0.011336, epoch loss=0.247028 Batch=1019, step=22620, lr=0.106000, batch loss=0.010024, epoch loss=0.257052 Batch=1079, step=22680, lr=0.105750, batch loss=0.000956, epoch loss=0.258008 Batch=1139, step=22740, lr=0.105500, batch loss=0.011500, epoch loss=0.269508 Batch=1199, step=22800, lr=0.105250, batch loss=0.004364, epoch loss=0.273872 Epoch=18, step=22800, lr=0.105250, epoch loss=0.273872 Batch=59, step=22860, lr=0.105000, batch loss=0.001477, epoch loss=0.001477 Batch=119, step=22920, lr=0.104750, batch loss=0.005858, epoch loss=0.007335 Batch=179, step=22980, lr=0.104500, batch loss=0.011574, epoch loss=0.018909 Batch=239, step=23040, lr=0.104250, batch loss=0.011673, epoch loss=0.030581 Batch=299, step=23100, lr=0.104000, batch loss=0.009384, epoch loss=0.039965 Batch=359, step=23160, lr=0.103750, batch loss=0.013045, epoch loss=0.053010 Batch=419, step=23220, lr=0.103500, batch loss=0.011221, epoch loss=0.064231 Batch=479, step=23280, lr=0.103250, batch loss=0.004142, epoch loss=0.068373 Batch=539, step=23340, lr=0.103000, batch loss=0.013849, epoch loss=0.082222 Batch=599, step=23400, lr=0.102750, batch loss=0.015110, epoch loss=0.097332 Batch=659, step=23460, lr=0.102250, batch loss=0.014610, epoch loss=0.111941 Batch=719, step=23520, lr=0.102250, batch loss=0.020793, epoch loss=0.132734 Batch=779, step=23580, lr=0.102000, batch loss=0.026164, epoch loss=0.158899 Batch=839, step=23640, lr=0.101750, batch loss=0.028981, epoch loss=0.187880 Batch=899, step=23700, lr=0.101500, batch loss=0.021608, epoch loss=0.209488 Batch=959, step=23760, lr=0.101250, batch loss=0.009974, epoch loss=0.219462 Batch=1019, step=23820, lr=0.101000, batch loss=0.007619, epoch loss=0.227081 Batch=1079, step=23880, lr=0.100750, batch loss=0.000895, epoch loss=0.227976 Batch=1139, step=23940, lr=0.100500, batch loss=0.009062, epoch loss=0.237038 Batch=1199, step=24000, lr=0.100250, batch loss=0.004382, epoch loss=0.241420 Epoch=19, step=24000, lr=0.100250, epoch loss=0.241420 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 15:45.46: Job failed: Failed: Build failed