2025-05-21 20:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (dbcdf2e378618e3c8d1d5ac89a107cc5a9fab6ef) (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 dbcdf2e3 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373 # fedora-42-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-21 20:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 20:19.55: Using OBuilder spec: ((from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) (comment fedora-42-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-21 20:19.55: Waiting for resource in pool OCluster 2025-05-21 20:19.55: Waiting for worker… 2025-05-21 20:30.27: Got resource from pool OCluster Building on laodoke.caelum.ci.dev HEAD is now at edd537ac Tiny cleanup: no more advance_captured_logs HEAD is now at dbcdf2e3 Update test target (logging multicore_cc) (from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373) 2025-05-21 20:30.29 ---> using "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" from cache /: (comment fedora-42-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 42 - x86_64 - Updates 100% | 78.7 KiB/s | 24.0 KiB | 00m00s Fedora 42 - x86_64 100% | 185.8 KiB/s | 24.9 KiB | 00m00s Fedora 42 - x86_64 - Updates 100% | 4.6 MiB/s | 5.3 MiB | 00m01s Fedora 42 - x86_64 100% | 302.6 KiB/s | 310.5 KiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed. Nothing to do. 2025-05-21 20:30.29 ---> using "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 20:30.29 ---> using "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 20:30.29 ---> using "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 20:30.29 ---> using "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 20:30.29 ---> using "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 0d013e603b..ffb3d1e34a master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-21 20:30.29 ---> using "6d19d3996dbde981768da10e312cc45f7f699c4b087bc629901db816fcce6f43" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 20:30.29 ---> using "4b1f34a01828d241bb43df747a0805ca6edefb5d3b3690b7a6649fa3e0b35812" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-21 20:30.29 ---> using "b281501d70eec1b964fe055165109ef9bdfa962b0733065c5a726c9ebfcb95e7" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 20:30.29 ---> using "1093f336765b0555b6295790215bc929b41cf35d3f482963b71c849ed281d560" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/sbin/sudo "yum" "makecache" - Updating and loading repositories: - Repositories loaded. - Metadata cache created. <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/sbin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-5.fc42 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-5.fc42.x86_6 100% | 70.0 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 53.0 KiB/s | 28.8 KiB | 00m01s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 32.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-5 100% | 535.3 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-5.fc42.x86_64 2025-05-21 20:30.29 ---> using "4c2ab24e256e5649c481cb2902a6427a29d240da5ecf3085a651e84fa7f04bb6" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> 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 printbox.0.12 -> 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 ppx_derivers.1.2.1 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> 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 sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_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_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 20:30.29 ---> using "988ec11528caf4023f4cf8802ee33a6877da77cf607131ad018b314d3f377508" from cache /src: (copy (src .) (dst /src)) 2025-05-21 20:30.31 ---> saved as "c22e5d41b6fbdecfd615b7464572c697d709dcdcef979a3f247b5bf123817c07" /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/a41a78b796c1fbb36894bc833232dcf9/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a52253931143b4e3d93a2e1352e14004/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/a41a78b796c1fbb36894bc833232dcf9/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/a41a78b796c1fbb36894bc833232dcf9/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=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198750, batch loss=1.330503, epoch loss=38.401201 Batch=419, step=420, lr=0.198250, batch loss=0.617977, epoch loss=39.019178 Batch=479, step=480, lr=0.198000, batch loss=0.822618, epoch loss=39.841797 Batch=539, step=540, lr=0.198000, batch loss=0.688362, epoch loss=40.530158 Batch=599, step=600, lr=0.197500, batch loss=1.066278, epoch loss=41.596436 Batch=659, step=660, lr=0.197500, batch loss=0.482919, epoch loss=42.079354 Batch=719, step=720, lr=0.197250, batch loss=0.411328, epoch loss=42.490683 Batch=779, step=780, lr=0.196750, batch loss=0.468971, epoch loss=42.959654 Batch=839, step=840, lr=0.196750, batch loss=0.443165, epoch loss=43.402819 Batch=899, step=900, lr=0.196500, batch loss=0.383918, epoch loss=43.786737 Batch=959, step=960, lr=0.196250, batch loss=0.237716, epoch loss=44.024453 Batch=1019, step=1020, lr=0.196000, batch loss=0.444828, epoch loss=44.469280 Batch=1079, step=1080, lr=0.195500, batch loss=0.258592, epoch loss=44.727873 Batch=1139, step=1140, lr=0.195500, batch loss=0.339470, epoch loss=45.067343 Batch=1199, step=1200, lr=0.195250, batch loss=0.260605, epoch loss=45.327948 Epoch=0, step=1200, lr=0.195250, epoch loss=45.327948 Batch=59, step=1260, lr=0.195000, batch loss=0.261558, epoch loss=0.261558 Batch=119, step=1320, lr=0.194500, batch loss=0.205782, epoch loss=0.467339 Batch=179, step=1380, lr=0.194500, batch loss=0.244561, epoch loss=0.711900 Batch=239, step=1440, lr=0.194250, batch loss=0.347680, epoch loss=1.059580 Batch=299, step=1500, lr=0.194000, batch loss=0.238596, epoch loss=1.298176 Batch=359, step=1560, lr=0.193750, batch loss=0.311711, epoch loss=1.609887 Batch=419, step=1620, lr=0.193500, batch loss=0.310006, epoch loss=1.919893 Batch=479, step=1680, lr=0.193250, batch loss=0.276459, epoch loss=2.196352 Batch=539, step=1740, lr=0.193000, batch loss=0.211287, epoch loss=2.407638 Batch=599, step=1800, lr=0.192750, batch loss=0.251105, epoch loss=2.658743 Batch=659, step=1860, lr=0.192500, batch loss=0.369644, epoch loss=3.028387 Batch=719, step=1920, lr=0.192250, batch loss=0.364371, epoch loss=3.392757 Batch=779, step=1980, lr=0.192000, batch loss=0.383525, epoch loss=3.776282 Batch=839, step=2040, lr=0.191750, batch loss=0.350362, epoch loss=4.126644 Batch=899, step=2100, lr=0.191500, batch loss=0.323259, epoch loss=4.449904 Batch=959, step=2160, lr=0.191250, batch loss=0.257076, epoch loss=4.706980 Batch=1019, step=2220, lr=0.191000, batch loss=0.391117, epoch loss=5.098096 Batch=1079, step=2280, lr=0.190750, batch loss=0.218568, epoch loss=5.316664 Batch=1139, step=2340, lr=0.190500, batch loss=0.264391, epoch loss=5.581055 Batch=1199, step=2400, lr=0.190250, batch loss=0.211930, epoch loss=5.792985 Epoch=1, step=2400, lr=0.190250, epoch loss=5.792985 Batch=59, step=2460, lr=0.189750, batch loss=0.229596, epoch loss=0.229596 Batch=119, step=2520, lr=0.189750, batch loss=0.198126, epoch loss=0.427722 Batch=179, step=2580, lr=0.189500, batch loss=0.220539, epoch loss=0.648261 Batch=239, step=2640, lr=0.189250, batch loss=0.328999, epoch loss=0.977259 Batch=299, step=2700, lr=0.189000, batch loss=0.206510, epoch loss=1.183769 Batch=359, step=2760, lr=0.188750, batch loss=0.293690, epoch loss=1.477459 Batch=419, step=2820, lr=0.188500, batch loss=0.281104, epoch loss=1.758563 Batch=479, step=2880, lr=0.188250, batch loss=0.253403, epoch loss=2.011966 Batch=539, step=2940, lr=0.188000, batch loss=0.194996, epoch loss=2.206962 Batch=599, step=3000, lr=0.187750, batch loss=0.231624, epoch loss=2.438586 Batch=659, step=3060, lr=0.187500, batch loss=0.342936, epoch loss=2.781522 Batch=719, step=3120, lr=0.187250, batch loss=0.339730, epoch loss=3.121252 Batch=779, step=3180, lr=0.186750, batch loss=0.365861, epoch loss=3.487113 Batch=839, step=3240, lr=0.186750, batch loss=0.327660, epoch loss=3.814773 Batch=899, step=3300, lr=0.186250, batch loss=0.290733, epoch loss=4.105506 Batch=959, step=3360, lr=0.186250, batch loss=0.219150, epoch loss=4.324656 Batch=1019, step=3420, lr=0.186000, batch loss=0.347320, epoch loss=4.671975 Batch=1079, step=3480, lr=0.185750, batch loss=0.215735, epoch loss=4.887711 Batch=1139, step=3540, lr=0.185500, batch loss=0.268292, epoch loss=5.156002 Batch=1199, step=3600, lr=0.185250, batch loss=0.201926, epoch loss=5.357929 Epoch=2, step=3600, lr=0.185250, epoch loss=5.357929 Batch=59, step=3660, lr=0.185000, batch loss=0.223849, epoch loss=0.223849 Batch=119, step=3720, lr=0.184750, batch loss=0.183306, epoch loss=0.407155 Batch=179, step=3780, lr=0.184500, batch loss=0.212009, epoch loss=0.619164 Batch=239, step=3840, lr=0.184250, batch loss=0.317125, epoch loss=0.936289 Batch=299, step=3900, lr=0.183750, batch loss=0.204704, epoch loss=1.140993 Batch=359, step=3960, lr=0.183750, batch loss=0.281569, epoch loss=1.422563 Batch=419, step=4020, lr=0.183250, batch loss=0.272823, epoch loss=1.695386 Batch=479, step=4080, lr=0.183250, batch loss=0.252052, epoch loss=1.947438 Batch=539, step=4140, lr=0.182750, batch loss=0.189856, epoch loss=2.137294 Batch=599, step=4200, lr=0.182500, batch loss=0.229127, epoch loss=2.366421 Batch=659, step=4260, lr=0.182500, batch loss=0.330714, epoch loss=2.697135 Batch=719, step=4320, lr=0.182250, batch loss=0.336824, epoch loss=3.033959 Batch=779, step=4380, lr=0.181750, batch loss=0.354633, epoch loss=3.388592 Batch=839, step=4440, lr=0.181500, batch loss=0.314776, epoch loss=3.703368 Batch=899, step=4500, lr=0.181500, batch loss=0.282740, epoch loss=3.986108 Batch=959, step=4560, lr=0.181000, batch loss=0.211806, epoch loss=4.197914 Batch=1019, step=4620, lr=0.180750, batch loss=0.348683, epoch loss=4.546596 Batch=1079, step=4680, lr=0.180500, batch loss=0.205969, epoch loss=4.752566 Batch=1139, step=4740, lr=0.180250, batch loss=0.241182, epoch loss=4.993748 Batch=1199, step=4800, lr=0.180250, batch loss=0.192073, epoch loss=5.185821 Epoch=3, step=4800, lr=0.180250, epoch loss=5.185821 Batch=59, step=4860, lr=0.179750, batch loss=0.229572, epoch loss=0.229572 Batch=119, step=4920, lr=0.179500, batch loss=0.187776, epoch loss=0.417348 Batch=179, step=4980, lr=0.179500, batch loss=0.206766, epoch loss=0.624114 Batch=239, step=5040, lr=0.179250, batch loss=0.307542, epoch loss=0.931656 Batch=299, step=5100, lr=0.179000, batch loss=0.202929, epoch loss=1.134585 Batch=359, step=5160, lr=0.178750, batch loss=0.272846, epoch loss=1.407430 Batch=419, step=5220, lr=0.178500, batch loss=0.265105, epoch loss=1.672536 Batch=479, step=5280, lr=0.178250, batch loss=0.239591, epoch loss=1.912127 Batch=539, step=5340, lr=0.178000, batch loss=0.190326, epoch loss=2.102453 Batch=599, step=5400, lr=0.177500, batch loss=0.230040, epoch loss=2.332493 Batch=659, step=5460, lr=0.177250, batch loss=0.324561, epoch loss=2.657055 Batch=719, step=5520, lr=0.177000, batch loss=0.320764, epoch loss=2.977819 Batch=779, step=5580, lr=0.177000, batch loss=0.343669, epoch loss=3.321487 Batch=839, step=5640, lr=0.176500, batch loss=0.309606, epoch loss=3.631093 Batch=899, step=5700, lr=0.176250, batch loss=0.271400, epoch loss=3.902493 Batch=959, step=5760, lr=0.176250, batch loss=0.216784, epoch loss=4.119277 Batch=1019, step=5820, lr=0.175750, batch loss=0.335850, epoch loss=4.455128 Batch=1079, step=5880, lr=0.175750, batch loss=0.187669, epoch loss=4.642797 Batch=1139, step=5940, lr=0.175500, batch loss=0.221228, epoch loss=4.864025 Batch=1199, step=6000, lr=0.175000, batch loss=0.188159, epoch loss=5.052183 Epoch=4, step=6000, lr=0.175000, epoch loss=5.052183 Batch=59, step=6060, lr=0.174750, batch loss=0.227591, epoch loss=0.227591 Batch=119, step=6120, lr=0.174750, batch loss=0.188398, epoch loss=0.415989 Batch=179, step=6180, lr=0.174250, batch loss=0.201332, epoch loss=0.617320 Batch=239, step=6240, lr=0.174250, batch loss=0.300154, epoch loss=0.917475 Batch=299, step=6300, lr=0.173750, batch loss=0.205151, epoch loss=1.122626 Batch=359, step=6360, lr=0.173500, batch loss=0.267538, epoch loss=1.390164 Batch=419, step=6420, lr=0.173500, batch loss=0.266947, epoch loss=1.657112 Batch=479, step=6480, lr=0.173250, batch loss=0.242263, epoch loss=1.899375 Batch=539, step=6540, lr=0.173000, batch loss=0.194502, epoch loss=2.093876 Batch=599, step=6600, lr=0.172750, batch loss=0.227034, epoch loss=2.320910 Batch=659, step=6660, lr=0.172250, batch loss=0.317297, epoch loss=2.638207 Batch=719, step=6720, lr=0.172250, batch loss=0.314371, epoch loss=2.952578 Batch=779, step=6780, lr=0.172000, batch loss=0.333110, epoch loss=3.285689 Batch=839, step=6840, lr=0.171750, batch loss=0.304030, epoch loss=3.589718 Batch=899, step=6900, lr=0.171250, batch loss=0.267884, epoch loss=3.857603 Batch=959, step=6960, lr=0.171250, batch loss=0.210835, epoch loss=4.068438 Batch=1019, step=7020, lr=0.171000, batch loss=0.327069, epoch loss=4.395507 Batch=1079, step=7080, lr=0.170750, batch loss=0.173584, epoch loss=4.569090 Batch=1139, step=7140, lr=0.170500, batch loss=0.212641, epoch loss=4.781732 Batch=1199, step=7200, lr=0.170000, batch loss=0.190925, epoch loss=4.972657 Epoch=5, step=7200, lr=0.170000, epoch loss=4.972657 Batch=59, step=7260, lr=0.169750, batch loss=0.225005, epoch loss=0.225005 Batch=119, step=7320, lr=0.169750, batch loss=0.189077, epoch loss=0.414083 Batch=179, step=7380, lr=0.169250, batch loss=0.194693, epoch loss=0.608776 Batch=239, step=7440, lr=0.169000, batch loss=0.292796, epoch loss=0.901572 Batch=299, step=7500, lr=0.168750, batch loss=0.203926, epoch loss=1.105498 Batch=359, step=7560, lr=0.168500, batch loss=0.263734, epoch loss=1.369232 Batch=419, step=7620, lr=0.168250, batch loss=0.258683, epoch loss=1.627914 Batch=479, step=7680, lr=0.168250, batch loss=0.234004, epoch loss=1.861918 Batch=539, step=7740, lr=0.167750, batch loss=0.191203, epoch loss=2.053121 Batch=599, step=7800, lr=0.167500, batch loss=0.227807, epoch loss=2.280928 Batch=659, step=7860, lr=0.167500, batch loss=0.304786, epoch loss=2.585714 Batch=719, step=7920, lr=0.167250, batch loss=0.309587, epoch loss=2.895301 Batch=779, step=7980, lr=0.166750, batch loss=0.328674, epoch loss=3.223974 Batch=839, step=8040, lr=0.166500, batch loss=0.292675, epoch loss=3.516649 Batch=899, step=8100, lr=0.166250, batch loss=0.262854, epoch loss=3.779503 Batch=959, step=8160, lr=0.166000, batch loss=0.197958, epoch loss=3.977462 Batch=1019, step=8220, lr=0.166000, batch loss=0.329321, epoch loss=4.306783 Batch=1079, step=8280, lr=0.165750, batch loss=0.194763, epoch loss=4.501546 Batch=1139, step=8340, lr=0.165250, batch loss=0.221160, epoch loss=4.722706 Batch=1199, step=8400, lr=0.165000, batch loss=0.175309, epoch loss=4.898016 Epoch=6, step=8400, lr=0.165000, epoch loss=4.898016 Batch=59, step=8460, lr=0.165000, batch loss=0.215687, epoch loss=0.215687 Batch=119, step=8520, lr=0.164500, batch loss=0.181929, epoch loss=0.397616 Batch=179, step=8580, lr=0.164500, batch loss=0.188993, epoch loss=0.586609 Batch=239, step=8640, lr=0.164000, batch loss=0.275741, epoch loss=0.862350 Batch=299, step=8700, lr=0.163750, batch loss=0.190545, epoch loss=1.052895 Batch=359, step=8760, lr=0.163500, batch loss=0.248133, epoch loss=1.301028 Batch=419, step=8820, lr=0.163250, batch loss=0.245492, epoch loss=1.546520 Batch=479, step=8880, lr=0.163000, batch loss=0.227073, epoch loss=1.773593 Batch=539, step=8940, lr=0.162750, batch loss=0.177900, epoch loss=1.951493 Batch=599, step=9000, lr=0.162750, batch loss=0.215558, epoch loss=2.167051 Batch=659, step=9060, lr=0.162250, batch loss=0.296333, epoch loss=2.463384 Batch=719, step=9120, lr=0.162000, batch loss=0.297791, epoch loss=2.761176 Batch=779, step=9180, lr=0.162000, batch loss=0.316663, epoch loss=3.077838 Batch=839, step=9240, lr=0.161500, batch loss=0.281908, epoch loss=3.359747 Batch=899, step=9300, lr=0.161250, batch loss=0.255142, epoch loss=3.614889 Batch=959, step=9360, lr=0.161000, batch loss=0.207291, epoch loss=3.822180 Batch=1019, step=9420, lr=0.160750, batch loss=0.298390, epoch loss=4.120570 Batch=1079, step=9480, lr=0.160500, batch loss=0.183109, epoch loss=4.303679 Batch=1139, step=9540, lr=0.160250, batch loss=0.206604, epoch loss=4.510283 Batch=1199, step=9600, lr=0.160250, batch loss=0.165920, epoch loss=4.676203 Epoch=7, step=9600, lr=0.160250, epoch loss=4.676203 Batch=59, step=9660, lr=0.159750, batch loss=0.204910, epoch loss=0.204910 Batch=119, step=9720, lr=0.159500, batch loss=0.173962, epoch loss=0.378872 Batch=179, step=9780, lr=0.159250, batch loss=0.181196, epoch loss=0.560068 Batch=239, step=9840, lr=0.159000, batch loss=0.263552, epoch loss=0.823619 Batch=299, step=9900, lr=0.158750, batch loss=0.185227, epoch loss=1.008846 Batch=359, step=9960, lr=0.158500, batch loss=0.237956, epoch loss=1.246802 Batch=419, step=10020, lr=0.158250, batch loss=0.233598, epoch loss=1.480401 Batch=479, step=10080, lr=0.158000, batch loss=0.212773, epoch loss=1.693174 Batch=539, step=10140, lr=0.157750, batch loss=0.171063, epoch loss=1.864237 Batch=599, step=10200, lr=0.157500, batch loss=0.200338, epoch loss=2.064575 Batch=659, step=10260, lr=0.157250, batch loss=0.284151, epoch loss=2.348725 Batch=719, step=10320, lr=0.157000, batch loss=0.281739, epoch loss=2.630465 Batch=779, step=10380, lr=0.156750, batch loss=0.302893, epoch loss=2.933357 Batch=839, step=10440, lr=0.156500, batch loss=0.271519, epoch loss=3.204876 Batch=899, step=10500, lr=0.156500, batch loss=0.242551, epoch loss=3.447427 Batch=959, step=10560, lr=0.156000, batch loss=0.199806, epoch loss=3.647233 Batch=1019, step=10620, lr=0.155750, batch loss=0.290986, epoch loss=3.938219 Batch=1079, step=10680, lr=0.155500, batch loss=0.178928, epoch loss=4.117147 Batch=1139, step=10740, lr=0.155250, batch loss=0.197473, epoch loss=4.314621 Batch=1199, step=10800, lr=0.155250, batch loss=0.157450, epoch loss=4.472070 Epoch=8, step=10800, lr=0.155250, epoch loss=4.472070 Batch=59, step=10860, lr=0.154750, batch loss=0.193950, epoch loss=0.193950 Batch=119, step=10920, lr=0.154500, batch loss=0.162219, epoch loss=0.356169 Batch=179, step=10980, lr=0.154250, batch loss=0.168678, epoch loss=0.524847 Batch=239, step=11040, lr=0.154000, batch loss=0.245279, epoch loss=0.770126 Batch=299, step=11100, lr=0.153750, batch loss=0.168936, epoch loss=0.939062 Batch=359, step=11160, lr=0.153500, batch loss=0.220070, epoch loss=1.159133 Batch=419, step=11220, lr=0.153500, batch loss=0.216955, epoch loss=1.376088 Batch=479, step=11280, lr=0.153000, batch loss=0.206020, epoch loss=1.582108 Batch=539, step=11340, lr=0.152750, batch loss=0.157191, epoch loss=1.739299 Batch=599, step=11400, lr=0.152500, batch loss=0.177034, epoch loss=1.916332 Batch=659, step=11460, lr=0.152250, batch loss=0.262462, epoch loss=2.178794 Batch=719, step=11520, lr=0.152250, batch loss=0.261145, epoch loss=2.439940 Batch=779, step=11580, lr=0.151750, batch loss=0.272195, epoch loss=2.712135 Batch=839, step=11640, lr=0.151750, batch loss=0.252354, epoch loss=2.964489 Batch=899, step=11700, lr=0.151250, batch loss=0.218928, epoch loss=3.183416 Batch=959, step=11760, lr=0.151000, batch loss=0.174553, epoch loss=3.357969 Batch=1019, step=11820, lr=0.151000, batch loss=0.260715, epoch loss=3.618685 Batch=1079, step=11880, lr=0.150750, batch loss=0.139250, epoch loss=3.757934 Batch=1139, step=11940, lr=0.150250, batch loss=0.166594, epoch loss=3.924529 Batch=1199, step=12000, lr=0.150000, batch loss=0.141693, epoch loss=4.066221 Epoch=9, step=12000, lr=0.150000, epoch loss=4.066221 Batch=59, step=12060, lr=0.149750, batch loss=0.180759, epoch loss=0.180759 Batch=119, step=12120, lr=0.149500, batch loss=0.146315, epoch loss=0.327073 Batch=179, step=12180, lr=0.149250, batch loss=0.151527, epoch loss=0.478600 Batch=239, step=12240, lr=0.149000, batch loss=0.221544, epoch loss=0.700144 Batch=299, step=12300, lr=0.149000, batch loss=0.141907, epoch loss=0.842051 Batch=359, step=12360, lr=0.148500, batch loss=0.197455, epoch loss=1.039506 Batch=419, step=12420, lr=0.148250, batch loss=0.206455, epoch loss=1.245960 Batch=479, step=12480, lr=0.148000, batch loss=0.181726, epoch loss=1.427686 Batch=539, step=12540, lr=0.148000, batch loss=0.143279, epoch loss=1.570965 Batch=599, step=12600, lr=0.147500, batch loss=0.152817, epoch loss=1.723782 Batch=659, step=12660, lr=0.147250, batch loss=0.225703, epoch loss=1.949485 Batch=719, step=12720, lr=0.147250, batch loss=0.234568, epoch loss=2.184052 Batch=779, step=12780, lr=0.147000, batch loss=0.256668, epoch loss=2.440721 Batch=839, step=12840, lr=0.146750, batch loss=0.225389, epoch loss=2.666109 Batch=899, step=12900, lr=0.146250, batch loss=0.188529, epoch loss=2.854638 Batch=959, step=12960, lr=0.146250, batch loss=0.151204, epoch loss=3.005842 Batch=1019, step=13020, lr=0.145750, batch loss=0.252703, epoch loss=3.258545 Batch=1079, step=13080, lr=0.145750, batch loss=0.112523, epoch loss=3.371067 Batch=1139, step=13140, lr=0.145500, batch loss=0.150583, epoch loss=3.521650 Batch=1199, step=13200, lr=0.145250, batch loss=0.118656, epoch loss=3.640306 Epoch=10, step=13200, lr=0.145250, epoch loss=3.640306 Batch=59, step=13260, lr=0.145000, batch loss=0.140410, epoch loss=0.140410 Batch=119, step=13320, lr=0.144500, batch loss=0.124002, epoch loss=0.264412 Batch=179, step=13380, lr=0.144250, batch loss=0.130696, epoch loss=0.395108 Batch=239, step=13440, lr=0.144000, batch loss=0.196868, epoch loss=0.591976 Batch=299, step=13500, lr=0.143750, batch loss=0.117217, epoch loss=0.709193 Batch=359, step=13560, lr=0.143750, batch loss=0.163808, epoch loss=0.873001 Batch=419, step=13620, lr=0.143500, batch loss=0.163944, epoch loss=1.036945 Batch=479, step=13680, lr=0.143000, batch loss=0.147943, epoch loss=1.184888 Batch=539, step=13740, lr=0.143000, batch loss=0.119185, epoch loss=1.304073 Batch=599, step=13800, lr=0.142500, batch loss=0.122594, epoch loss=1.426667 Batch=659, step=13860, lr=0.142500, batch loss=0.180432, epoch loss=1.607099 Batch=719, step=13920, lr=0.142000, batch loss=0.175823, epoch loss=1.782922 Batch=779, step=13980, lr=0.142000, batch loss=0.183594, epoch loss=1.966516 Batch=839, step=14040, lr=0.141500, batch loss=0.205083, epoch loss=2.171600 Batch=899, step=14100, lr=0.141250, batch loss=0.215877, epoch loss=2.387477 Batch=959, step=14160, lr=0.141000, batch loss=0.108910, epoch loss=2.496387 Batch=1019, step=14220, lr=0.140750, batch loss=0.193122, epoch loss=2.689509 Batch=1079, step=14280, lr=0.140500, batch loss=0.086015, epoch loss=2.775524 Batch=1139, step=14340, lr=0.140500, batch loss=0.143542, epoch loss=2.919066 Batch=1199, step=14400, lr=0.140250, batch loss=0.091117, epoch loss=3.010183 Epoch=11, step=14400, lr=0.140250, epoch loss=3.010183 Batch=59, step=14460, lr=0.139750, batch loss=0.117263, epoch loss=0.117263 Batch=119, step=14520, lr=0.139500, batch loss=0.110767, epoch loss=0.228029 Batch=179, step=14580, lr=0.139250, batch loss=0.105698, epoch loss=0.333727 Batch=239, step=14640, lr=0.139000, batch loss=0.142564, epoch loss=0.476291 Batch=299, step=14700, lr=0.138750, batch loss=0.083630, epoch loss=0.559920 Batch=359, step=14760, lr=0.138750, batch loss=0.124650, epoch loss=0.684570 Batch=419, step=14820, lr=0.138500, batch loss=0.132942, epoch loss=0.817512 Batch=479, step=14880, lr=0.138250, batch loss=0.102622, epoch loss=0.920134 Batch=539, step=14940, lr=0.138000, batch loss=0.090106, epoch loss=1.010240 Batch=599, step=15000, lr=0.137750, batch loss=0.087260, epoch loss=1.097500 Batch=659, step=15060, lr=0.137250, batch loss=0.143183, epoch loss=1.240683 Batch=719, step=15120, lr=0.137000, batch loss=0.166854, epoch loss=1.407537 Batch=779, step=15180, lr=0.137000, batch loss=0.275980, epoch loss=1.683517 Batch=839, step=15240, lr=0.136750, batch loss=0.146604, epoch loss=1.830121 Batch=899, step=15300, lr=0.136500, batch loss=0.150879, epoch loss=1.981000 Batch=959, step=15360, lr=0.136250, batch loss=0.082076, epoch loss=2.063076 Batch=1019, step=15420, lr=0.136000, batch loss=0.163283, epoch loss=2.226359 Batch=1079, step=15480, lr=0.135750, batch loss=0.043192, epoch loss=2.269551 Batch=1139, step=15540, lr=0.135500, batch loss=0.093434, epoch loss=2.362985 Batch=1199, step=15600, lr=0.135250, batch loss=0.061264, epoch loss=2.424248 Epoch=12, step=15600, lr=0.135250, epoch loss=2.424248 Batch=59, step=15660, lr=0.135000, batch loss=0.090512, epoch loss=0.090512 Batch=119, step=15720, lr=0.134750, batch loss=0.153808, epoch loss=0.244320 Batch=179, step=15780, lr=0.134500, batch loss=0.108556, epoch loss=0.352876 Batch=239, step=15840, lr=0.134250, batch loss=0.105574, epoch loss=0.458450 Batch=299, step=15900, lr=0.134000, batch loss=0.051111, epoch loss=0.509561 Batch=359, step=15960, lr=0.133750, batch loss=0.098946, epoch loss=0.608508 Batch=419, step=16020, lr=0.133250, batch loss=0.083712, epoch loss=0.692220 Batch=479, step=16080, lr=0.133250, batch loss=0.057507, epoch loss=0.749727 Batch=539, step=16140, lr=0.133000, batch loss=0.071988, epoch loss=0.821715 Batch=599, step=16200, lr=0.132750, batch loss=0.156625, epoch loss=0.978340 Batch=659, step=16260, lr=0.132500, batch loss=0.098195, epoch loss=1.076535 Batch=719, step=16320, lr=0.132250, batch loss=0.121805, epoch loss=1.198340 Batch=779, step=16380, lr=0.132000, batch loss=0.260453, epoch loss=1.458793 Batch=839, step=16440, lr=0.131500, batch loss=0.093406, epoch loss=1.552199 Batch=899, step=16500, lr=0.131500, batch loss=0.077284, epoch loss=1.629483 Batch=959, step=16560, lr=0.131250, batch loss=0.035396, epoch loss=1.664879 Batch=1019, step=16620, lr=0.131000, batch loss=0.068450, epoch loss=1.733329 Batch=1079, step=16680, lr=0.130750, batch loss=0.049337, epoch loss=1.782666 Batch=1139, step=16740, lr=0.130500, batch loss=0.091844, epoch loss=1.874511 Batch=1199, step=16800, lr=0.130250, batch loss=0.044223, epoch loss=1.918733 Epoch=13, step=16800, lr=0.130250, epoch loss=1.918733 Batch=59, step=16860, lr=0.130000, batch loss=0.039363, epoch loss=0.039363 Batch=119, step=16920, lr=0.129750, batch loss=0.037713, epoch loss=0.077076 Batch=179, step=16980, lr=0.129500, batch loss=0.045583, epoch loss=0.122659 Batch=239, step=17040, lr=0.129250, batch loss=0.059205, epoch loss=0.181864 Batch=299, step=17100, lr=0.129000, batch loss=0.020784, epoch loss=0.202648 Batch=359, step=17160, lr=0.128750, batch loss=0.045702, epoch loss=0.248350 Batch=419, step=17220, lr=0.128500, batch loss=0.047753, epoch loss=0.296103 Batch=479, step=17280, lr=0.128250, batch loss=0.023834, epoch loss=0.319936 Batch=539, step=17340, lr=0.128000, batch loss=0.029004, epoch loss=0.348941 Batch=599, step=17400, lr=0.127750, batch loss=0.039013, epoch loss=0.387954 Batch=659, step=17460, lr=0.127500, batch loss=0.051897, epoch loss=0.439851 Batch=719, step=17520, lr=0.127250, batch loss=0.061846, epoch loss=0.501697 Batch=779, step=17580, lr=0.127000, batch loss=0.071937, epoch loss=0.573635 Batch=839, step=17640, lr=0.126750, batch loss=0.133276, epoch loss=0.706910 Batch=899, step=17700, lr=0.126500, batch loss=0.059806, epoch loss=0.766717 Batch=959, step=17760, lr=0.126250, batch loss=0.020741, epoch loss=0.787458 Batch=1019, step=17820, lr=0.126000, batch loss=0.032165, epoch loss=0.819624 Batch=1079, step=17880, lr=0.125750, batch loss=0.018426, epoch loss=0.838049 Batch=1139, step=17940, lr=0.125500, batch loss=0.043041, epoch loss=0.881091 Batch=1199, step=18000, lr=0.125250, batch loss=0.017775, epoch loss=0.898866 Epoch=14, step=18000, lr=0.125250, epoch loss=0.898866 Batch=59, step=18060, lr=0.125000, batch loss=0.015656, epoch loss=0.015656 Batch=119, step=18120, lr=0.124500, batch loss=0.025262, epoch loss=0.040917 Batch=179, step=18180, lr=0.124500, batch loss=0.031123, epoch loss=0.072040 Batch=239, step=18240, lr=0.124250, batch loss=0.036753, epoch loss=0.108793 Batch=299, step=18300, lr=0.123750, batch loss=0.009865, epoch loss=0.118658 Batch=359, step=18360, lr=0.123750, batch loss=0.026391, epoch loss=0.145049 Batch=419, step=18420, lr=0.123250, batch loss=0.033895, epoch loss=0.178944 Batch=479, step=18480, lr=0.123000, batch loss=0.026966, epoch loss=0.205910 Batch=539, step=18540, lr=0.123000, batch loss=0.058135, epoch loss=0.264045 Batch=599, step=18600, lr=0.122500, batch loss=0.029040, epoch loss=0.293085 Batch=659, step=18660, lr=0.122500, batch loss=0.035931, epoch loss=0.329016 Batch=719, step=18720, lr=0.122250, batch loss=0.033538, epoch loss=0.362554 Batch=779, step=18780, lr=0.122000, batch loss=0.068135, epoch loss=0.430689 Batch=839, step=18840, lr=0.121750, batch loss=0.154356, epoch loss=0.585045 Batch=899, step=18900, lr=0.121500, batch loss=0.037613, epoch loss=0.622658 Batch=959, step=18960, lr=0.121250, batch loss=0.024536, epoch loss=0.647193 Batch=1019, step=19020, lr=0.121000, batch loss=0.051230, epoch loss=0.698423 Batch=1079, step=19080, lr=0.120750, batch loss=0.010008, epoch loss=0.708431 Batch=1139, step=19140, lr=0.120500, batch loss=0.025392, epoch loss=0.733823 Batch=1199, step=19200, lr=0.120250, batch loss=0.012263, epoch loss=0.746086 Epoch=15, step=19200, lr=0.120250, epoch loss=0.746086 Batch=59, step=19260, lr=0.120000, batch loss=0.006454, epoch loss=0.006454 Batch=119, step=19320, lr=0.119750, batch loss=0.012686, epoch loss=0.019139 Batch=179, step=19380, lr=0.119250, batch loss=0.026758, epoch loss=0.045897 Batch=239, step=19440, lr=0.119250, batch loss=0.024584, epoch loss=0.070481 Batch=299, step=19500, lr=0.119000, batch loss=0.009027, epoch loss=0.079508 Batch=359, step=19560, lr=0.118750, batch loss=0.016789, epoch loss=0.096297 Batch=419, step=19620, lr=0.118500, batch loss=0.020313, epoch loss=0.116610 Batch=479, step=19680, lr=0.118250, batch loss=0.007426, epoch loss=0.124036 Batch=539, step=19740, lr=0.118000, batch loss=0.019708, epoch loss=0.143744 Batch=599, step=19800, lr=0.117750, batch loss=0.021640, epoch loss=0.165384 Batch=659, step=19860, lr=0.117500, batch loss=0.020863, epoch loss=0.186246 Batch=719, step=19920, lr=0.117250, batch loss=0.022712, epoch loss=0.208959 Batch=779, step=19980, lr=0.117000, batch loss=0.051316, epoch loss=0.260275 Batch=839, step=20040, lr=0.116500, batch loss=0.043604, epoch loss=0.303878 Batch=899, step=20100, lr=0.116500, batch loss=0.049584, epoch loss=0.353462 Batch=959, step=20160, lr=0.116250, batch loss=0.011255, epoch loss=0.364717 Batch=1019, step=20220, lr=0.115750, batch loss=0.012314, epoch loss=0.377030 Batch=1079, step=20280, lr=0.115750, batch loss=0.003592, epoch loss=0.380622 Batch=1139, step=20340, lr=0.115500, batch loss=0.017117, epoch loss=0.397739 Batch=1199, step=20400, lr=0.115250, batch loss=0.006824, epoch loss=0.404563 Epoch=16, step=20400, lr=0.115250, epoch loss=0.404563 Batch=59, step=20460, lr=0.115000, batch loss=0.003718, epoch loss=0.003718 Batch=119, step=20520, lr=0.114750, batch loss=0.008726, epoch loss=0.012443 Batch=179, step=20580, lr=0.114500, batch loss=0.015634, epoch loss=0.028077 Batch=239, step=20640, lr=0.114250, batch loss=0.013951, epoch loss=0.042028 Batch=299, step=20700, lr=0.113750, batch loss=0.004133, epoch loss=0.046161 Batch=359, step=20760, lr=0.113750, batch loss=0.013265, epoch loss=0.059427 Batch=419, step=20820, lr=0.113500, batch loss=0.016931, epoch loss=0.076358 Batch=479, step=20880, lr=0.113250, batch loss=0.007424, epoch loss=0.083781 Batch=539, step=20940, lr=0.113000, batch loss=0.015979, epoch loss=0.099760 Batch=599, step=21000, lr=0.112750, batch loss=0.019483, epoch loss=0.119243 Batch=659, step=21060, lr=0.112500, batch loss=0.015744, epoch loss=0.134987 Batch=719, step=21120, lr=0.112250, batch loss=0.035290, epoch loss=0.170277 Batch=779, step=21180, lr=0.112000, batch loss=0.069712, epoch loss=0.239989 Batch=839, step=21240, lr=0.111750, batch loss=0.025862, epoch loss=0.265851 Batch=899, step=21300, lr=0.111500, batch loss=0.027040, epoch loss=0.292892 Batch=959, step=21360, lr=0.111250, batch loss=0.011256, epoch loss=0.304148 Batch=1019, step=21420, lr=0.111000, batch loss=0.013107, epoch loss=0.317255 Batch=1079, step=21480, lr=0.110500, batch loss=0.001769, epoch loss=0.319024 Batch=1139, step=21540, lr=0.110250, batch loss=0.012454, epoch loss=0.331479 Batch=1199, step=21600, lr=0.110250, batch loss=0.005049, epoch loss=0.336528 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336528 Batch=59, step=21660, lr=0.109750, batch loss=0.002688, epoch loss=0.002688 Batch=119, step=21720, lr=0.109500, batch loss=0.007600, epoch loss=0.010288 Batch=179, step=21780, lr=0.109250, batch loss=0.012944, epoch loss=0.023231 Batch=239, step=21840, lr=0.109250, batch loss=0.009875, epoch loss=0.033106 Batch=299, step=21900, lr=0.108750, batch loss=0.013527, epoch loss=0.046633 Batch=359, step=21960, lr=0.108500, batch loss=0.013909, epoch loss=0.060542 Batch=419, step=22020, lr=0.108250, batch loss=0.013438, epoch loss=0.073980 Batch=479, step=22080, lr=0.108250, batch loss=0.003102, epoch loss=0.077081 Batch=539, step=22140, lr=0.108000, batch loss=0.016852, epoch loss=0.093933 Batch=599, step=22200, lr=0.107500, batch loss=0.015937, epoch loss=0.109870 Batch=659, step=22260, lr=0.107500, batch loss=0.011708, epoch loss=0.121578 Batch=719, step=22320, lr=0.107250, batch loss=0.019515, epoch loss=0.141093 Batch=779, step=22380, lr=0.106750, batch loss=0.024796, epoch loss=0.165889 Batch=839, step=22440, lr=0.106500, batch loss=0.027275, epoch loss=0.193164 Batch=899, step=22500, lr=0.106250, batch loss=0.027110, epoch loss=0.220274 Batch=959, step=22560, lr=0.106000, batch loss=0.009095, epoch loss=0.229370 Batch=1019, step=22620, lr=0.106000, batch loss=0.009387, epoch loss=0.238757 Batch=1079, step=22680, lr=0.105500, batch loss=0.001877, epoch loss=0.240634 Batch=1139, step=22740, lr=0.105500, batch loss=0.011086, epoch loss=0.251719 Batch=1199, step=22800, lr=0.105250, batch loss=0.005024, epoch loss=0.256744 Epoch=18, step=22800, lr=0.105250, epoch loss=0.256744 Batch=59, step=22860, lr=0.105000, batch loss=0.002046, epoch loss=0.002046 Batch=119, step=22920, lr=0.104500, batch loss=0.005751, epoch loss=0.007797 Batch=179, step=22980, lr=0.104250, batch loss=0.011528, epoch loss=0.019324 Batch=239, step=23040, lr=0.104250, batch loss=0.008652, epoch loss=0.027976 Batch=299, step=23100, lr=0.103750, batch loss=0.008635, epoch loss=0.036611 Batch=359, step=23160, lr=0.103500, batch loss=0.013543, epoch loss=0.050154 Batch=419, step=23220, lr=0.103500, batch loss=0.011656, epoch loss=0.061810 Batch=479, step=23280, lr=0.103250, batch loss=0.003869, epoch loss=0.065679 Batch=539, step=23340, lr=0.103000, batch loss=0.014127, epoch loss=0.079806 Batch=599, step=23400, lr=0.102500, batch loss=0.015281, epoch loss=0.095087 Batch=659, step=23460, lr=0.102250, batch loss=0.014109, epoch loss=0.109196 Batch=719, step=23520, lr=0.102000, batch loss=0.021476, epoch loss=0.130672 Batch=779, step=23580, lr=0.101750, batch loss=0.025929, epoch loss=0.156601 Batch=839, step=23640, lr=0.101500, batch loss=0.028678, epoch loss=0.185280 Batch=899, step=23700, lr=0.101250, batch loss=0.021990, epoch loss=0.207269 Batch=959, step=23760, lr=0.101000, batch loss=0.010399, epoch loss=0.217668 Batch=1019, step=23820, lr=0.100750, batch loss=0.007602, epoch loss=0.225270 Batch=1079, step=23880, lr=0.100500, batch loss=0.001198, epoch loss=0.226469 Batch=1139, step=23940, lr=0.100250, batch loss=0.008872, epoch loss=0.235341 Batch=1199, step=24000, lr=0.100000, batch loss=0.004849, epoch loss=0.240189 Epoch=19, step=24000, lr=0.100000, epoch loss=0.240189 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-21 20:32.01: Job failed: Failed: Build failed