2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-x86_64:opensuse-15.6-5.3_opam-2.3) Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907 # opensuse-15.6-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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 2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907-opensuse-15.6-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 13:23.09: Using OBuilder spec: ((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907) (comment opensuse-15.6-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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")) ) 2025-03-21 13:23.09: Waiting for resource in pool OCluster 2025-03-21 13:23.10: Waiting for worker… 2025-03-21 13:25.58: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at d63fdf0d Expose and test the new unary ops (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907) 2025-03-21 13:25.59 ---> using "97c0fadd2a2f6fc0d6f7c024b06fdc5e37314bdc6a75a12d7cd819ed6ccf2aa0" from cache /: (comment opensuse-15.6-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 13:25.59 ---> using "ae8deb97ac3f0d225fc1c09301f1ecf73216745312621d386a5a7c1d83af4ac0" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 13:25.59 ---> using "b9e7493c2d0282d19720dc154beb4021e405218902724c60e81ee6d906a24ad1" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 13:25.59 ---> using "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:25.59 ---> using "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from 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) 2025-03-21 13:25.59 ---> using "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:25.59 ---> using "5e66a281da679ea54cc763b9eee1458a39f12e00c5f33d20db9db3b5ae6e3cb6" 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) 2025-03-21 13:25.59 ---> using "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:25.59 ---> using "f55e7ac5f29f517c31f26aaca6e22d29e8e4db7c25088e26154874f701058085" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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/bin/sudo "zypper" "--non-interactive" "refresh" - Retrieving repository 'Update repository of openSUSE Backports' metadata [... - .........done] - Building repository 'Update repository of openSUSE Backports' cache [.. - ..done] - Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [.... - ......... - ........ - ......... - ...... - ..done] - Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [.. - ..done] - Repository 'Main Update Repository' is up to date. - Repository 'Update Repository (Non-Oss)' is up to date. - Repository 'Non-OSS Repository' is up to date. - Repository 'Main Repository' is up to date. - All repositories have been refreshed. <><> 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/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel" - Loading repository data... - Reading installed packages... - Resolving package dependencies... - - The following NEW package is going to be installed: - libffi-devel - - 1 new package to install. - - Package download size: 26.7 KiB - - Package install size change: - | 29.1 KiB required by packages that will be installed - 29.1 KiB | - 0 B released by packages that will be removed - - Backend: classic_rpmtrans - Continue? [y/n/v/...? shows all options] (y): y - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1), 26.7 KiB - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (21.9 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-03-21 13:25.59 ---> using "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303" 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 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - 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 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - 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_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - 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 2.1.0 - 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 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 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 bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (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 integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (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 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_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (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 ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed bigarray-compat.1.1.0 -> installed stdlib-shims.0.3.0 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed integers.0.7.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> 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.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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) 2025-03-21 13:25.59 ---> using "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05" from cache /src: (copy (src .) (dst /src)) 2025-03-21 13:25.59 ---> saved as "017e70896c658e95d16628397c4f6c0b0e84dabb71d95b4c16e5754b591f4a1b" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/dd3255270d693352f27b0f4d2935521a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/primitive_ops.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected @@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" = [%expect {| ┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐ - │ inf │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │f │ │ - │( │ │ - │x │ │ - │) │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ 0.00│*************************-*************** ********-******************************* **** *******-****│ + │ 2.23│ #│ + │ │ ##### │ + │ │ ##### │ + │ │ #### │ + │ │ ## ## │ + │ │ ##### │ + │ │ #### │ + │ │ ##### │ + │ │ #### │ + │ │ ## # │ + │ │ # ## │ + │ │ ### │ + │ │* #### │ + │ │ #### │ + │ │ # # │ + │ │ ### │ + │ │ ### │ + │ │ * ### │ + │f │ ## │ + │( │ ### │ + │x │ * ### │ + │) │ ## │ + │ │ * ## │ + │ │ # ## │ + │ │ * ## │ + │ │ * ## │ + │ │ ** # │ + │ │ *# │ + │ │ # ** │ + │ │ ## *** │ + │ │ # * * │ + │ │ # ***** │ + │ │ # ******** │ + │ │ # * ********** │ + │ │# * ************* **** │ + │ │ * ********************* ************ │ + │ │ *****│ + │ │ │ + │ │ │ + │ 0.00│- - - - - - - - - - - - - - - - - - - - │ ├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤ - │ │0.00 5.00│ + │ │1.00e-1 5.00│ │ │ x │ └─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘ |}] @@ -585,7 +585,35 @@ let%expect_test "recip(x)" = let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in PrintBox_text.output Stdio.stdout plot_box; (* FIXME: There's is a bug here in the shape inference. *) - [%expect {||}] + [%expect.unreachable] +[@@expect.uncaught_exn {| + (* CR expect_test_collector: This test expectation appears to contain a backtrace. + This is strongly discouraged as backtraces are fragile. + Please change this test to not include a backtrace. *) + (lib/shape.ml.Shape_error "Too many axes in a subtensor" + ((Row_mismatch + ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input)))) + ((dims ((Var ((id 166) (label ()))))) + (bcast (Row_var (v (Row_var 167)) (beg_dims ()))) + (id ((sh_id 7) (kind Output))))))) + Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91 + Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44 + Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68 + Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37 + Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56 + Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25 + Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65 + Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44 + Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73 + Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14 + Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57 + Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65 + Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17 + Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54 + Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28 + |}] let%expect_test "recip_sqrt(x)" = let%op f x = recip_sqrt x in (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file 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=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.175750, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207489, epoch loss=4.669925 Batch=1139, step=5940, lr=0.175500, batch loss=0.240219, epoch loss=4.910144 Batch=1199, step=6000, lr=0.175250, batch loss=0.186922, epoch loss=5.097066 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097066 Batch=59, step=6060, lr=0.175000, batch loss=0.230304, epoch loss=0.230304 Batch=119, step=6120, lr=0.174750, batch loss=0.194470, epoch loss=0.424773 Batch=179, step=6180, lr=0.174500, batch loss=0.201550, epoch loss=0.626323 Batch=239, step=6240, lr=0.174250, batch loss=0.302284, epoch loss=0.928607 Batch=299, step=6300, lr=0.174000, batch loss=0.204120, epoch loss=1.132727 Batch=359, step=6360, lr=0.173750, batch loss=0.265950, epoch loss=1.398677 Batch=419, step=6420, lr=0.173500, batch loss=0.265409, epoch loss=1.664086 Batch=479, step=6480, lr=0.173250, batch loss=0.243177, epoch loss=1.907263 Batch=539, step=6540, lr=0.173000, batch loss=0.193160, epoch loss=2.100423 Batch=599, step=6600, lr=0.172750, batch loss=0.234320, epoch loss=2.334743 Batch=659, step=6660, lr=0.172500, batch loss=0.312176, epoch loss=2.646919 Batch=719, step=6720, lr=0.172250, batch loss=0.314107, epoch loss=2.961026 Batch=779, step=6780, lr=0.172000, batch loss=0.333356, epoch loss=3.294382 Batch=839, step=6840, lr=0.171750, batch loss=0.303649, epoch loss=3.598032 Batch=899, step=6900, lr=0.171500, batch loss=0.268605, epoch loss=3.866637 Batch=959, step=6960, lr=0.171250, batch loss=0.210783, epoch loss=4.077420 Batch=1019, step=7020, lr=0.171000, batch loss=0.330087, epoch loss=4.407506 Batch=1079, step=7080, lr=0.170750, batch loss=0.180404, epoch loss=4.587910 Batch=1139, step=7140, lr=0.170500, batch loss=0.216152, epoch loss=4.804063 Batch=1199, step=7200, lr=0.170250, batch loss=0.185775, epoch loss=4.989838 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989838 Batch=59, step=7260, lr=0.170000, batch loss=0.232263, epoch loss=0.232263 Batch=119, step=7320, lr=0.169750, batch loss=0.184724, epoch loss=0.416987 Batch=179, step=7380, lr=0.169500, batch loss=0.196627, epoch loss=0.613614 Batch=239, step=7440, lr=0.169250, batch loss=0.291579, epoch loss=0.905193 Batch=299, step=7500, lr=0.169000, batch loss=0.201092, epoch loss=1.106284 Batch=359, step=7560, lr=0.168750, batch loss=0.258375, epoch loss=1.364660 Batch=419, step=7620, lr=0.168500, batch loss=0.257506, epoch loss=1.622166 Batch=479, step=7680, lr=0.168250, batch loss=0.235183, epoch loss=1.857349 Batch=539, step=7740, lr=0.168000, batch loss=0.188741, epoch loss=2.046090 Batch=599, step=7800, lr=0.167750, batch loss=0.223004, epoch loss=2.269094 Batch=659, step=7860, lr=0.167500, batch loss=0.306428, epoch loss=2.575521 Batch=719, step=7920, lr=0.167250, batch loss=0.308516, epoch loss=2.884038 Batch=779, step=7980, lr=0.167000, batch loss=0.330730, epoch loss=3.214767 Batch=839, step=8040, lr=0.166750, batch loss=0.291940, epoch loss=3.506707 Batch=899, step=8100, lr=0.166500, batch loss=0.262371, epoch loss=3.769078 Batch=959, step=8160, lr=0.166250, batch loss=0.194363, epoch loss=3.963441 Batch=1019, step=8220, lr=0.166000, batch loss=0.326526, epoch loss=4.289967 Batch=1079, step=8280, lr=0.165750, batch loss=0.184656, epoch loss=4.474623 Batch=1139, step=8340, lr=0.165500, batch loss=0.218730, epoch loss=4.693353 Batch=1199, step=8400, lr=0.165250, batch loss=0.173608, epoch loss=4.866961 Epoch=6, step=8400, lr=0.165250, epoch loss=4.866961 Batch=59, step=8460, lr=0.165000, batch loss=0.211167, epoch loss=0.211167 Batch=119, step=8520, lr=0.164750, batch loss=0.173048, epoch loss=0.384214 Batch=179, step=8580, lr=0.164500, batch loss=0.188428, epoch loss=0.572643 Batch=239, step=8640, lr=0.164250, batch loss=0.280332, epoch loss=0.852975 Batch=299, step=8700, lr=0.164000, batch loss=0.192020, epoch loss=1.044995 Batch=359, step=8760, lr=0.163750, batch loss=0.248166, epoch loss=1.293161 Batch=419, step=8820, lr=0.163500, batch loss=0.246012, epoch loss=1.539173 Batch=479, step=8880, lr=0.163250, batch loss=0.227866, epoch loss=1.767039 Batch=539, step=8940, lr=0.163000, batch loss=0.178374, epoch loss=1.945413 Batch=599, step=9000, lr=0.162750, batch loss=0.216569, epoch loss=2.161982 Batch=659, step=9060, lr=0.162500, batch loss=0.294291, epoch loss=2.456273 Batch=719, step=9120, lr=0.162250, batch loss=0.297837, epoch loss=2.754110 Batch=779, step=9180, lr=0.162000, batch loss=0.315451, epoch loss=3.069561 Batch=839, step=9240, lr=0.161750, batch loss=0.280212, epoch loss=3.349773 Batch=899, step=9300, lr=0.161500, batch loss=0.253451, epoch loss=3.603224 Batch=959, step=9360, lr=0.161250, batch loss=0.208232, epoch loss=3.811456 Batch=1019, step=9420, lr=0.161000, batch loss=0.297207, epoch loss=4.108663 Batch=1079, step=9480, lr=0.160750, batch loss=0.173127, epoch loss=4.281790 Batch=1139, step=9540, lr=0.160500, batch loss=0.200573, epoch loss=4.482364 Batch=1199, step=9600, lr=0.160250, batch loss=0.164585, epoch loss=4.646949 Epoch=7, step=9600, lr=0.160250, epoch loss=4.646949 Batch=59, step=9660, lr=0.160000, batch loss=0.188685, epoch loss=0.188685 Batch=119, step=9720, lr=0.159750, batch loss=0.158557, epoch loss=0.347242 Batch=179, step=9780, lr=0.159500, batch loss=0.178672, epoch loss=0.525914 Batch=239, step=9840, lr=0.159250, batch loss=0.266775, epoch loss=0.792689 Batch=299, step=9900, lr=0.159000, batch loss=0.180790, epoch loss=0.973479 Batch=359, step=9960, lr=0.158750, batch loss=0.245487, epoch loss=1.218966 Batch=419, step=10020, lr=0.158500, batch loss=0.249508, epoch loss=1.468474 Batch=479, step=10080, lr=0.158250, batch loss=0.218043, epoch loss=1.686517 Batch=539, step=10140, lr=0.158000, batch loss=0.170060, epoch loss=1.856576 Batch=599, step=10200, lr=0.157750, batch loss=0.207239, epoch loss=2.063816 Batch=659, step=10260, lr=0.157500, batch loss=0.278235, epoch loss=2.342051 Batch=719, step=10320, lr=0.157250, batch loss=0.278403, epoch loss=2.620454 Batch=779, step=10380, lr=0.157000, batch loss=0.291568, epoch loss=2.912023 Batch=839, step=10440, lr=0.156750, batch loss=0.270674, epoch loss=3.182697 Batch=899, step=10500, lr=0.156500, batch loss=0.236981, epoch loss=3.419678 Batch=959, step=10560, lr=0.156250, batch loss=0.179161, epoch loss=3.598839 Batch=1019, step=10620, lr=0.156000, batch loss=0.296412, epoch loss=3.895251 Batch=1079, step=10680, lr=0.155750, batch loss=0.182429, epoch loss=4.077679 Batch=1139, step=10740, lr=0.155500, batch loss=0.197613, epoch loss=4.275293 Batch=1199, step=10800, lr=0.155250, batch loss=0.154466, epoch loss=4.429759 Epoch=8, step=10800, lr=0.155250, epoch loss=4.429759 Batch=59, step=10860, lr=0.155000, batch loss=0.179809, epoch loss=0.179809 Batch=119, step=10920, lr=0.154750, batch loss=0.149371, epoch loss=0.329179 Batch=179, step=10980, lr=0.154500, batch loss=0.165453, epoch loss=0.494632 Batch=239, step=11040, lr=0.154250, batch loss=0.241031, epoch loss=0.735664 Batch=299, step=11100, lr=0.154000, batch loss=0.171622, epoch loss=0.907286 Batch=359, step=11160, lr=0.153750, batch loss=0.220002, epoch loss=1.127288 Batch=419, step=11220, lr=0.153500, batch loss=0.215714, epoch loss=1.343002 Batch=479, step=11280, lr=0.153250, batch loss=0.201884, epoch loss=1.544886 Batch=539, step=11340, lr=0.153000, batch loss=0.158975, epoch loss=1.703861 Batch=599, step=11400, lr=0.152750, batch loss=0.178541, epoch loss=1.882401 Batch=659, step=11460, lr=0.152500, batch loss=0.263901, epoch loss=2.146302 Batch=719, step=11520, lr=0.152250, batch loss=0.256886, epoch loss=2.403188 Batch=779, step=11580, lr=0.152000, batch loss=0.271211, epoch loss=2.674400 Batch=839, step=11640, lr=0.151750, batch loss=0.256161, epoch loss=2.930560 Batch=899, step=11700, lr=0.151500, batch loss=0.212441, epoch loss=3.143001 Batch=959, step=11760, lr=0.151250, batch loss=0.169580, epoch loss=3.312581 Batch=1019, step=11820, lr=0.151000, batch loss=0.265236, epoch loss=3.577816 Batch=1079, step=11880, lr=0.150750, batch loss=0.151429, epoch loss=3.729245 Batch=1139, step=11940, lr=0.150500, batch loss=0.185856, epoch loss=3.915101 Batch=1199, step=12000, lr=0.150250, batch loss=0.139369, epoch loss=4.054470 Epoch=9, step=12000, lr=0.150250, epoch loss=4.054470 Batch=59, step=12060, lr=0.150000, batch loss=0.157817, epoch loss=0.157817 Batch=119, step=12120, lr=0.149750, batch loss=0.128121, epoch loss=0.285937 Batch=179, step=12180, lr=0.149500, batch loss=0.149445, epoch loss=0.435382 Batch=239, step=12240, lr=0.149250, batch loss=0.217863, epoch loss=0.653245 Batch=299, step=12300, lr=0.149000, batch loss=0.141839, epoch loss=0.795084 Batch=359, step=12360, lr=0.148750, batch loss=0.197034, epoch loss=0.992117 Batch=419, step=12420, lr=0.148500, batch loss=0.206091, epoch loss=1.198209 Batch=479, step=12480, lr=0.148250, batch loss=0.178521, epoch loss=1.376730 Batch=539, step=12540, lr=0.148000, batch loss=0.142404, epoch loss=1.519133 Batch=599, step=12600, lr=0.147750, batch loss=0.150353, epoch loss=1.669486 Batch=659, step=12660, lr=0.147500, batch loss=0.223484, epoch loss=1.892970 Batch=719, step=12720, lr=0.147250, batch loss=0.233322, epoch loss=2.126292 Batch=779, step=12780, lr=0.147000, batch loss=0.252640, epoch loss=2.378932 Batch=839, step=12840, lr=0.146750, batch loss=0.235124, epoch loss=2.614056 Batch=899, step=12900, lr=0.146500, batch loss=0.228896, epoch loss=2.842952 Batch=959, step=12960, lr=0.146250, batch loss=0.141048, epoch loss=2.984001 Batch=1019, step=13020, lr=0.146000, batch loss=0.218111, epoch loss=3.202112 Batch=1079, step=13080, lr=0.145750, batch loss=0.109246, epoch loss=3.311358 Batch=1139, step=13140, lr=0.145500, batch loss=0.147658, epoch loss=3.459016 Batch=1199, step=13200, lr=0.145250, batch loss=0.115267, epoch loss=3.574282 Epoch=10, step=13200, lr=0.145250, epoch loss=3.574282 Batch=59, step=13260, lr=0.145000, batch loss=0.133269, epoch loss=0.133269 Batch=119, step=13320, lr=0.144750, batch loss=0.111256, epoch loss=0.244526 Batch=179, step=13380, lr=0.144500, batch loss=0.126827, epoch loss=0.371353 Batch=239, step=13440, lr=0.144250, batch loss=0.184909, epoch loss=0.556262 Batch=299, step=13500, lr=0.144000, batch loss=0.116059, epoch loss=0.672321 Batch=359, step=13560, lr=0.143750, batch loss=0.158219, epoch loss=0.830540 Batch=419, step=13620, lr=0.143500, batch loss=0.160251, epoch loss=0.990791 Batch=479, step=13680, lr=0.143250, batch loss=0.149628, epoch loss=1.140419 Batch=539, step=13740, lr=0.143000, batch loss=0.122504, epoch loss=1.262923 Batch=599, step=13800, lr=0.142750, batch loss=0.119414, epoch loss=1.382336 Batch=659, step=13860, lr=0.142500, batch loss=0.175210, epoch loss=1.557547 Batch=719, step=13920, lr=0.142250, batch loss=0.175944, epoch loss=1.733490 Batch=779, step=13980, lr=0.142000, batch loss=0.196304, epoch loss=1.929794 Batch=839, step=14040, lr=0.141750, batch loss=0.186282, epoch loss=2.116076 Batch=899, step=14100, lr=0.141500, batch loss=0.159015, epoch loss=2.275091 Batch=959, step=14160, lr=0.141250, batch loss=0.157548, epoch loss=2.432639 Batch=1019, step=14220, lr=0.141000, batch loss=0.377316, epoch loss=2.809955 Batch=1079, step=14280, lr=0.140750, batch loss=0.068219, epoch loss=2.878174 Batch=1139, step=14340, lr=0.140500, batch loss=0.121781, epoch loss=2.999955 Batch=1199, step=14400, lr=0.140250, batch loss=0.091817, epoch loss=3.091772 Epoch=11, step=14400, lr=0.140250, epoch loss=3.091772 Batch=59, step=14460, lr=0.140000, batch loss=0.111289, epoch loss=0.111289 Batch=119, step=14520, lr=0.139750, batch loss=0.102335, epoch loss=0.213625 Batch=179, step=14580, lr=0.139500, batch loss=0.106558, epoch loss=0.320182 Batch=239, step=14640, lr=0.139250, batch loss=0.140485, epoch loss=0.460667 Batch=299, step=14700, lr=0.139000, batch loss=0.081376, epoch loss=0.542043 Batch=359, step=14760, lr=0.138750, batch loss=0.124634, epoch loss=0.666677 Batch=419, step=14820, lr=0.138500, batch loss=0.124413, epoch loss=0.791090 Batch=479, step=14880, lr=0.138250, batch loss=0.108015, epoch loss=0.899105 Batch=539, step=14940, lr=0.138000, batch loss=0.109155, epoch loss=1.008260 Batch=599, step=15000, lr=0.137750, batch loss=0.088079, epoch loss=1.096339 Batch=659, step=15060, lr=0.137500, batch loss=0.128407, epoch loss=1.224745 Batch=719, step=15120, lr=0.137250, batch loss=0.136146, epoch loss=1.360892 Batch=779, step=15180, lr=0.137000, batch loss=0.160933, epoch loss=1.521824 Batch=839, step=15240, lr=0.136750, batch loss=0.161316, epoch loss=1.683140 Batch=899, step=15300, lr=0.136500, batch loss=0.242462, epoch loss=1.925602 Batch=959, step=15360, lr=0.136250, batch loss=0.057907, epoch loss=1.983509 Batch=1019, step=15420, lr=0.136000, batch loss=0.138686, epoch loss=2.122195 Batch=1079, step=15480, lr=0.135750, batch loss=0.047276, epoch loss=2.169471 Batch=1139, step=15540, lr=0.135500, batch loss=0.110340, epoch loss=2.279811 Batch=1199, step=15600, lr=0.135250, batch loss=0.060694, epoch loss=2.340505 Epoch=12, step=15600, lr=0.135250, epoch loss=2.340505 Batch=59, step=15660, lr=0.135000, batch loss=0.080201, epoch loss=0.080201 Batch=119, step=15720, lr=0.134750, batch loss=0.117356, epoch loss=0.197557 Batch=179, step=15780, lr=0.134500, batch loss=0.091137, epoch loss=0.288694 Batch=239, step=15840, lr=0.134250, batch loss=0.094859, epoch loss=0.383553 Batch=299, step=15900, lr=0.134000, batch loss=0.039482, epoch loss=0.423035 Batch=359, step=15960, lr=0.133750, batch loss=0.079882, epoch loss=0.502917 Batch=419, step=16020, lr=0.133500, batch loss=0.079991, epoch loss=0.582908 Batch=479, step=16080, lr=0.133250, batch loss=0.072569, epoch loss=0.655477 Batch=539, step=16140, lr=0.133000, batch loss=0.045504, epoch loss=0.700980 Batch=599, step=16200, lr=0.132750, batch loss=0.089443, epoch loss=0.790423 Batch=659, step=16260, lr=0.132500, batch loss=0.077332, epoch loss=0.867755 Batch=719, step=16320, lr=0.132250, batch loss=0.070966, epoch loss=0.938721 Batch=779, step=16380, lr=0.132000, batch loss=0.069299, epoch loss=1.008020 Batch=839, step=16440, lr=0.131750, batch loss=0.106064, epoch loss=1.114083 Batch=899, step=16500, lr=0.131500, batch loss=0.147877, epoch loss=1.261961 Batch=959, step=16560, lr=0.131250, batch loss=0.062389, epoch loss=1.324350 Batch=1019, step=16620, lr=0.131000, batch loss=0.141829, epoch loss=1.466179 Batch=1079, step=16680, lr=0.130750, batch loss=0.024763, epoch loss=1.490942 Batch=1139, step=16740, lr=0.130500, batch loss=0.060940, epoch loss=1.551882 Batch=1199, step=16800, lr=0.130250, batch loss=0.030653, epoch loss=1.582535 Epoch=13, step=16800, lr=0.130250, epoch loss=1.582535 Batch=59, step=16860, lr=0.130000, batch loss=0.034990, epoch loss=0.034990 Batch=119, step=16920, lr=0.129500, batch loss=0.041544, epoch loss=0.076534 Batch=179, step=16980, lr=0.129500, batch loss=0.042248, epoch loss=0.118782 Batch=239, step=17040, lr=0.129250, batch loss=0.054654, epoch loss=0.173435 Batch=299, step=17100, lr=0.129000, batch loss=0.021228, epoch loss=0.194663 Batch=359, step=17160, lr=0.128750, batch loss=0.043489, epoch loss=0.238152 Batch=419, step=17220, lr=0.128500, batch loss=0.082238, epoch loss=0.320390 Batch=479, step=17280, lr=0.128250, batch loss=0.028504, epoch loss=0.348894 Batch=539, step=17340, lr=0.128000, batch loss=0.037826, epoch loss=0.386720 Batch=599, step=17400, lr=0.127750, batch loss=0.033782, epoch loss=0.420502 Batch=659, step=17460, lr=0.127500, batch loss=0.045348, epoch loss=0.465849 Batch=719, step=17520, lr=0.127250, batch loss=0.050623, epoch loss=0.516473 Batch=779, step=17580, lr=0.127000, batch loss=0.120754, epoch loss=0.637226 Batch=839, step=17640, lr=0.126750, batch loss=0.102879, epoch loss=0.740105 Batch=899, step=17700, lr=0.126500, batch loss=0.148086, epoch loss=0.888192 Batch=959, step=17760, lr=0.126250, batch loss=0.019134, epoch loss=0.907326 Batch=1019, step=17820, lr=0.126000, batch loss=0.031002, epoch loss=0.938328 Batch=1079, step=17880, lr=0.125750, batch loss=0.012978, epoch loss=0.951306 Batch=1139, step=17940, lr=0.125500, batch loss=0.035684, epoch loss=0.986990 Batch=1199, step=18000, lr=0.125250, batch loss=0.015870, epoch loss=1.002860 Epoch=14, step=18000, lr=0.125250, epoch loss=1.002860 Batch=59, step=18060, lr=0.125000, batch loss=0.011821, epoch loss=0.011821 Batch=119, step=18120, lr=0.124750, batch loss=0.035401, epoch loss=0.047222 Batch=179, step=18180, lr=0.124500, batch loss=0.094412, epoch loss=0.141634 Batch=239, step=18240, lr=0.124250, batch loss=0.045557, epoch loss=0.187190 Batch=299, step=18300, lr=0.124000, batch loss=0.010232, epoch loss=0.197423 Batch=359, step=18360, lr=0.123750, batch loss=0.025487, epoch loss=0.222910 Batch=419, step=18420, lr=0.123500, batch loss=0.027817, epoch loss=0.250727 Batch=479, step=18480, lr=0.123250, batch loss=0.018476, epoch loss=0.269204 Batch=539, step=18540, lr=0.123000, batch loss=0.039881, epoch loss=0.309085 Batch=599, step=18600, lr=0.122750, batch loss=0.026177, epoch loss=0.335263 Batch=659, step=18660, lr=0.122500, batch loss=0.031527, epoch loss=0.366790 Batch=719, step=18720, lr=0.122250, batch loss=0.031957, epoch loss=0.398746 Batch=779, step=18780, lr=0.122000, batch loss=0.081908, epoch loss=0.480654 Batch=839, step=18840, lr=0.121750, batch loss=0.050238, epoch loss=0.530892 Batch=899, step=18900, lr=0.121500, batch loss=0.049128, epoch loss=0.580020 Batch=959, step=18960, lr=0.121250, batch loss=0.013734, epoch loss=0.593754 Batch=1019, step=19020, lr=0.121000, batch loss=0.025420, epoch loss=0.619174 Batch=1079, step=19080, lr=0.120750, batch loss=0.007516, epoch loss=0.626690 Batch=1139, step=19140, lr=0.120500, batch loss=0.023625, epoch loss=0.650315 Batch=1199, step=19200, lr=0.120250, batch loss=0.010157, epoch loss=0.660472 Epoch=15, step=19200, lr=0.120250, epoch loss=0.660472 Batch=59, step=19260, lr=0.120000, batch loss=0.005478, epoch loss=0.005478 Batch=119, step=19320, lr=0.119750, batch loss=0.016465, epoch loss=0.021943 Batch=179, step=19380, lr=0.119500, batch loss=0.042436, epoch loss=0.064379 Batch=239, step=19440, lr=0.119250, batch loss=0.022094, epoch loss=0.086473 Batch=299, step=19500, lr=0.119000, batch loss=0.005539, epoch loss=0.092012 Batch=359, step=19560, lr=0.118750, batch loss=0.016346, epoch loss=0.108358 Batch=419, step=19620, lr=0.118500, batch loss=0.019857, epoch loss=0.128215 Batch=479, step=19680, lr=0.118250, batch loss=0.006850, epoch loss=0.135065 Batch=539, step=19740, lr=0.118000, batch loss=0.016237, epoch loss=0.151302 Batch=599, step=19800, lr=0.117750, batch loss=0.021303, epoch loss=0.172606 Batch=659, step=19860, lr=0.117500, batch loss=0.017752, epoch loss=0.190357 Batch=719, step=19920, lr=0.117250, batch loss=0.040649, epoch loss=0.231006 Batch=779, step=19980, lr=0.117000, batch loss=0.076466, epoch loss=0.307472 Batch=839, step=20040, lr=0.116750, batch loss=0.032080, epoch loss=0.339553 Batch=899, step=20100, lr=0.116500, batch loss=0.027762, epoch loss=0.367315 Batch=959, step=20160, lr=0.116250, batch loss=0.011691, epoch loss=0.379006 Batch=1019, step=20220, lr=0.116000, batch loss=0.015784, epoch loss=0.394790 Batch=1079, step=20280, lr=0.115750, batch loss=0.002417, epoch loss=0.397207 Batch=1139, step=20340, lr=0.115500, batch loss=0.015162, epoch loss=0.412370 Batch=1199, step=20400, lr=0.115250, batch loss=0.006054, epoch loss=0.418424 Epoch=16, step=20400, lr=0.115250, epoch loss=0.418424 Batch=59, step=20460, lr=0.115000, batch loss=0.004454, epoch loss=0.004454 Batch=119, step=20520, lr=0.114750, batch loss=0.010806, epoch loss=0.015260 Batch=179, step=20580, lr=0.114500, batch loss=0.026203, epoch loss=0.041463 Batch=239, step=20640, lr=0.114250, batch loss=0.014729, epoch loss=0.056192 Batch=299, step=20700, lr=0.114000, batch loss=0.002528, epoch loss=0.058720 Batch=359, step=20760, lr=0.113750, batch loss=0.015038, epoch loss=0.073758 Batch=419, step=20820, lr=0.113500, batch loss=0.014615, epoch loss=0.088373 Batch=479, step=20880, lr=0.113250, batch loss=0.003650, epoch loss=0.092023 Batch=539, step=20940, lr=0.113000, batch loss=0.018864, epoch loss=0.110887 Batch=599, step=21000, lr=0.112750, batch loss=0.020130, epoch loss=0.131017 Batch=659, step=21060, lr=0.112500, batch loss=0.016612, epoch loss=0.147629 Batch=719, step=21120, lr=0.112250, batch loss=0.053537, epoch loss=0.201166 Batch=779, step=21180, lr=0.112000, batch loss=0.064476, epoch loss=0.265642 Batch=839, step=21240, lr=0.111750, batch loss=0.024165, epoch loss=0.289807 Batch=899, step=21300, lr=0.111500, batch loss=0.026895, epoch loss=0.316701 Batch=959, step=21360, lr=0.111250, batch loss=0.010653, epoch loss=0.327354 Batch=1019, step=21420, lr=0.111000, batch loss=0.010676, epoch loss=0.338031 Batch=1079, step=21480, lr=0.110750, batch loss=0.001599, epoch loss=0.339629 Batch=1139, step=21540, lr=0.110500, batch loss=0.012826, epoch loss=0.352456 Batch=1199, step=21600, lr=0.110250, batch loss=0.004814, epoch loss=0.357270 Epoch=17, step=21600, lr=0.110250, epoch loss=0.357270 Batch=59, step=21660, lr=0.110000, batch loss=0.002417, epoch loss=0.002417 Batch=119, step=21720, lr=0.109750, batch loss=0.007035, epoch loss=0.009452 Batch=179, step=21780, lr=0.109500, batch loss=0.012700, epoch loss=0.022152 Batch=239, step=21840, lr=0.109250, batch loss=0.009258, epoch loss=0.031410 Batch=299, step=21900, lr=0.109000, batch loss=0.007412, epoch loss=0.038823 Batch=359, step=21960, lr=0.108750, batch loss=0.014068, epoch loss=0.052891 Batch=419, step=22020, lr=0.108500, batch loss=0.012263, epoch loss=0.065154 Batch=479, step=22080, lr=0.108250, batch loss=0.003553, epoch loss=0.068707 Batch=539, step=22140, lr=0.108000, batch loss=0.018214, epoch loss=0.086921 Batch=599, step=22200, lr=0.107750, batch loss=0.017151, epoch loss=0.104072 Batch=659, step=22260, lr=0.107500, batch loss=0.015330, epoch loss=0.119403 Batch=719, step=22320, lr=0.107250, batch loss=0.022361, epoch loss=0.141764 Batch=779, step=22380, lr=0.107000, batch loss=0.028985, epoch loss=0.170749 Batch=839, step=22440, lr=0.106750, batch loss=0.029065, epoch loss=0.199814 Batch=899, step=22500, lr=0.106500, batch loss=0.022968, epoch loss=0.222782 Batch=959, step=22560, lr=0.106250, batch loss=0.010247, epoch loss=0.233030 Batch=1019, step=22620, lr=0.106000, batch loss=0.008654, epoch loss=0.241684 Batch=1079, step=22680, lr=0.105750, batch loss=0.001692, epoch loss=0.243376 Batch=1139, step=22740, lr=0.105500, batch loss=0.010110, epoch loss=0.253486 Batch=1199, step=22800, lr=0.105250, batch loss=0.005399, epoch loss=0.258885 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258885 Batch=59, step=22860, lr=0.105000, batch loss=0.002888, epoch loss=0.002888 Batch=119, step=22920, lr=0.104750, batch loss=0.004734, epoch loss=0.007622 Batch=179, step=22980, lr=0.104500, batch loss=0.012741, epoch loss=0.020362 Batch=239, step=23040, lr=0.104250, batch loss=0.008109, epoch loss=0.028471 Batch=299, step=23100, lr=0.104000, batch loss=0.003844, epoch loss=0.032315 Batch=359, step=23160, lr=0.103750, batch loss=0.012084, epoch loss=0.044399 Batch=419, step=23220, lr=0.103500, batch loss=0.011207, epoch loss=0.055606 Batch=479, step=23280, lr=0.103250, batch loss=0.002766, epoch loss=0.058372 Batch=539, step=23340, lr=0.103000, batch loss=0.017085, epoch loss=0.075457 Batch=599, step=23400, lr=0.102750, batch loss=0.014266, epoch loss=0.089723 Batch=659, step=23460, lr=0.102500, batch loss=0.011791, epoch loss=0.101514 Batch=719, step=23520, lr=0.102250, batch loss=0.010422, epoch loss=0.111937 Batch=779, step=23580, lr=0.102000, batch loss=0.016802, epoch loss=0.128739 Batch=839, step=23640, lr=0.101750, batch loss=0.026889, epoch loss=0.155627 Batch=899, step=23700, lr=0.101500, batch loss=0.019905, epoch loss=0.175533 Batch=959, step=23760, lr=0.101250, batch loss=0.008076, epoch loss=0.183609 Batch=1019, step=23820, lr=0.101000, batch loss=0.009251, epoch loss=0.192860 Batch=1079, step=23880, lr=0.100750, batch loss=0.001918, epoch loss=0.194777 Batch=1139, step=23940, lr=0.100500, batch loss=0.008623, epoch loss=0.203400 Batch=1199, step=24000, lr=0.100250, batch loss=0.004331, epoch loss=0.207731 Epoch=19, step=24000, lr=0.100250, epoch loss=0.207731 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 2025-03-21 13:26.31: Job failed: Failed: Build failed