2025-05-21 11:54.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (b6f271d6237f52725d0809538885b09a54c19329) (linux-x86_64:fedora-41-5.3_opam-2.3) Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard b6f271d6 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992 # fedora-41-5.3_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 11:54.54: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 11:54.54: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) (comment fedora-41-5.3_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 11:54.54: Waiting for resource in pool OCluster 2025-05-21 11:54.54: Waiting for worker… 2025-05-21 11:55.01: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at b6f271d6 Merge branch 'master' of https://github.com/ahrefs/ocannl (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-21 11:55.02 ---> using "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10" from cache /: (comment fedora-41-5.3_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 41 openh264 (From Cisco) - x86_ 100% | 9.3 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 191.8 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 167.8 KiB/s | 23.2 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 6.6 MiB/s | 9.6 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-05-21 11:55.02 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:55.02 ---> using "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" 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 [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 11:55.02 ---> using "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" 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 11:55.02 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:55.02 ---> using "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" 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 35eb2f107a..c7d6d1d2aa 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 11:55.02 ---> using "47e222691df9f48e96b82354930e643d109158150dc7c77fac9953e2867a0de2" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:55.02 ---> using "e7730057529b4754024c66acc0d1018233e8d2f2daf11327df013acb81dd02d8" 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 11:55.02 ---> using "063b3fe81118ec0277acdaec22f1eecc2dd6a81fe61f9d9f1889e8d0cbd0aebf" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:55.02 ---> using "33e409d72e19a2f51ac75adada9ccd6f1a25cd1f594ac1fdee973b79ca82e452" 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/bin/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/bin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 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-0:3.4.6-3.fc41.x86_6 100% | 133.8 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 76.5 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 40.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 552.3 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-05-21 11:55.02 ---> using "56f1fb25cdf08ccfa843e8cf68715585265b4862dc78f3ea7237d6f2aabdd617" 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 dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved 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 ppxlib.0.35.0 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed uutf.1.0.4 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> 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 angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:55.02 ---> using "1de4cf5d4fa2045ccadabf4d63be5b5e21a9617c39609bd14197216061357a4d" from cache /src: (copy (src .) (dst /src)) 2025-05-21 11:55.04 ---> saved as "083fb72fe288bca61e8771dbacdf3b5d3a1677addfd4910c25d2e22f4e4d6d30" /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/77422bab23008974bd332c182e7823e6/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/38824d0015605f298c31e653611b7f82/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/77422bab23008974bd332c182e7823e6/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/77422bab23008974bd332c182e7823e6/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198000, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.197750, batch loss=0.707658, epoch loss=40.534307 Batch=599, step=600, lr=0.197500, batch loss=1.069258, epoch loss=41.603564 Batch=659, step=660, lr=0.197500, batch loss=0.482312, epoch loss=42.085877 Batch=719, step=720, lr=0.197250, batch loss=0.411147, epoch loss=42.497023 Batch=779, step=780, lr=0.197000, batch loss=0.469419, epoch loss=42.966442 Batch=839, step=840, lr=0.196750, batch loss=0.443803, epoch loss=43.410245 Batch=899, step=900, lr=0.196250, batch loss=0.383138, epoch loss=43.793383 Batch=959, step=960, lr=0.196000, batch loss=0.242234, epoch loss=44.035617 Batch=1019, step=1020, lr=0.195750, batch loss=0.451228, epoch loss=44.486846 Batch=1079, step=1080, lr=0.195500, batch loss=0.252816, epoch loss=44.739661 Batch=1139, step=1140, lr=0.195250, batch loss=0.330498, epoch loss=45.070159 Batch=1199, step=1200, lr=0.195000, batch loss=0.264166, epoch loss=45.334325 Epoch=0, step=1200, lr=0.195000, epoch loss=45.334325 Batch=59, step=1260, lr=0.194750, batch loss=0.263072, epoch loss=0.263072 Batch=119, step=1320, lr=0.194750, batch loss=0.204588, epoch loss=0.467660 Batch=179, step=1380, lr=0.194500, batch loss=0.243877, epoch loss=0.711537 Batch=239, step=1440, lr=0.194250, batch loss=0.347265, epoch loss=1.058802 Batch=299, step=1500, lr=0.193750, batch loss=0.239152, epoch loss=1.297953 Batch=359, step=1560, lr=0.193500, batch loss=0.311720, epoch loss=1.609673 Batch=419, step=1620, lr=0.193250, batch loss=0.309903, epoch loss=1.919576 Batch=479, step=1680, lr=0.193250, batch loss=0.276240, epoch loss=2.195816 Batch=539, step=1740, lr=0.193000, batch loss=0.211141, epoch loss=2.406957 Batch=599, step=1800, lr=0.192750, batch loss=0.251544, epoch loss=2.658502 Batch=659, step=1860, lr=0.192500, batch loss=0.369184, epoch loss=3.027686 Batch=719, step=1920, lr=0.192250, batch loss=0.364807, epoch loss=3.392493 Batch=779, step=1980, lr=0.192000, batch loss=0.381193, epoch loss=3.773686 Batch=839, step=2040, lr=0.191750, batch loss=0.340483, epoch loss=4.114169 Batch=899, step=2100, lr=0.191500, batch loss=0.295814, epoch loss=4.409983 Batch=959, step=2160, lr=0.191250, batch loss=0.215461, epoch loss=4.625443 Batch=1019, step=2220, lr=0.191000, batch loss=0.327986, epoch loss=4.953429 Batch=1079, step=2280, lr=0.190750, batch loss=0.194899, epoch loss=5.148329 Batch=1139, step=2340, lr=0.190500, batch loss=0.256064, epoch loss=5.404393 Batch=1199, step=2400, lr=0.190250, batch loss=0.210826, epoch loss=5.615218 Epoch=1, step=2400, lr=0.190250, epoch loss=5.615218 Batch=59, step=2460, lr=0.190000, batch loss=0.227758, epoch loss=0.227758 Batch=119, step=2520, lr=0.189750, batch loss=0.199991, epoch loss=0.427749 Batch=179, step=2580, lr=0.189250, batch loss=0.220577, epoch loss=0.648326 Batch=239, step=2640, lr=0.189000, batch loss=0.326713, epoch loss=0.975038 Batch=299, step=2700, lr=0.188750, batch loss=0.216432, epoch loss=1.191470 Batch=359, step=2760, lr=0.188500, batch loss=0.291620, epoch loss=1.483090 Batch=419, step=2820, lr=0.188250, batch loss=0.283741, epoch loss=1.766831 Batch=479, step=2880, lr=0.188000, batch loss=0.262544, epoch loss=2.029375 Batch=539, step=2940, lr=0.187750, batch loss=0.208624, epoch loss=2.237999 Batch=599, step=3000, lr=0.187500, batch loss=0.257324, epoch loss=2.495323 Batch=659, step=3060, lr=0.187500, batch loss=0.355401, epoch loss=2.850724 Batch=719, step=3120, lr=0.187000, batch loss=0.350209, epoch loss=3.200933 Batch=779, step=3180, lr=0.186750, batch loss=0.360974, epoch loss=3.561907 Batch=839, step=3240, lr=0.186500, batch loss=0.326730, epoch loss=3.888637 Batch=899, step=3300, lr=0.186250, batch loss=0.292069, epoch loss=4.180705 Batch=959, step=3360, lr=0.186250, batch loss=0.230545, epoch loss=4.411250 Batch=1019, step=3420, lr=0.186000, batch loss=0.345616, epoch loss=4.756866 Batch=1079, step=3480, lr=0.185500, batch loss=0.221831, epoch loss=4.978697 Batch=1139, step=3540, lr=0.185250, batch loss=0.260976, epoch loss=5.239673 Batch=1199, step=3600, lr=0.185000, batch loss=0.199712, epoch loss=5.439385 Epoch=2, step=3600, lr=0.185000, epoch loss=5.439385 Batch=59, step=3660, lr=0.184750, batch loss=0.223247, epoch loss=0.223247 Batch=119, step=3720, lr=0.184500, batch loss=0.184795, epoch loss=0.408042 Batch=179, step=3780, lr=0.184250, batch loss=0.212944, epoch loss=0.620986 Batch=239, step=3840, lr=0.184250, batch loss=0.317942, epoch loss=0.938928 Batch=299, step=3900, lr=0.184000, batch loss=0.212196, epoch loss=1.151124 Batch=359, step=3960, lr=0.183500, batch loss=0.293601, epoch loss=1.444725 Batch=419, step=4020, lr=0.183250, batch loss=0.301369, epoch loss=1.746093 Batch=479, step=4080, lr=0.183250, batch loss=0.257974, epoch loss=2.004068 Batch=539, step=4140, lr=0.182750, batch loss=0.196876, epoch loss=2.200944 Batch=599, step=4200, lr=0.182500, batch loss=0.228683, epoch loss=2.429627 Batch=659, step=4260, lr=0.182500, batch loss=0.332853, epoch loss=2.762480 Batch=719, step=4320, lr=0.182250, batch loss=0.337493, epoch loss=3.099973 Batch=779, step=4380, lr=0.182000, batch loss=0.352875, epoch loss=3.452848 Batch=839, step=4440, lr=0.181500, batch loss=0.316806, epoch loss=3.769655 Batch=899, step=4500, lr=0.181500, batch loss=0.286525, epoch loss=4.056180 Batch=959, step=4560, lr=0.181000, batch loss=0.237032, epoch loss=4.293211 Batch=1019, step=4620, lr=0.180750, batch loss=0.329584, epoch loss=4.622795 Batch=1079, step=4680, lr=0.180750, batch loss=0.195775, epoch loss=4.818570 Batch=1139, step=4740, lr=0.180500, batch loss=0.228043, epoch loss=5.046613 Batch=1199, step=4800, lr=0.180250, batch loss=0.194110, epoch loss=5.240723 Epoch=3, step=4800, lr=0.180250, epoch loss=5.240723 Batch=59, step=4860, lr=0.180000, batch loss=0.232314, epoch loss=0.232314 Batch=119, step=4920, lr=0.179750, batch loss=0.186897, epoch loss=0.419211 Batch=179, step=4980, lr=0.179250, batch loss=0.206330, epoch loss=0.625541 Batch=239, step=5040, lr=0.179250, batch loss=0.308789, epoch loss=0.934330 Batch=299, step=5100, lr=0.179000, batch loss=0.206457, epoch loss=1.140787 Batch=359, step=5160, lr=0.178750, batch loss=0.270410, epoch loss=1.411197 Batch=419, step=5220, lr=0.178500, batch loss=0.265509, epoch loss=1.676706 Batch=479, step=5280, lr=0.178250, batch loss=0.240504, epoch loss=1.917210 Batch=539, step=5340, lr=0.178000, batch loss=0.191761, epoch loss=2.108971 Batch=599, step=5400, lr=0.177750, batch loss=0.231573, epoch loss=2.340544 Batch=659, step=5460, lr=0.177500, batch loss=0.325099, epoch loss=2.665643 Batch=719, step=5520, lr=0.177250, batch loss=0.331400, epoch loss=2.997043 Batch=779, step=5580, lr=0.177000, batch loss=0.341594, epoch loss=3.338637 Batch=839, step=5640, lr=0.176750, batch loss=0.309438, epoch loss=3.648075 Batch=899, step=5700, lr=0.176500, batch loss=0.273168, epoch loss=3.921244 Batch=959, step=5760, lr=0.176250, batch loss=0.214828, epoch loss=4.136071 Batch=1019, step=5820, lr=0.176000, batch loss=0.333647, epoch loss=4.469718 Batch=1079, step=5880, lr=0.175750, batch loss=0.192633, epoch loss=4.662352 Batch=1139, step=5940, lr=0.175500, batch loss=0.220769, epoch loss=4.883121 Batch=1199, step=6000, lr=0.175250, batch loss=0.187047, epoch loss=5.070168 Epoch=4, step=6000, lr=0.175250, epoch loss=5.070168 Batch=59, step=6060, lr=0.175000, batch loss=0.225084, epoch loss=0.225084 Batch=119, step=6120, lr=0.174750, batch loss=0.185465, epoch loss=0.410549 Batch=179, step=6180, lr=0.174500, batch loss=0.200862, epoch loss=0.611411 Batch=239, step=6240, lr=0.174250, batch loss=0.298880, epoch loss=0.910292 Batch=299, step=6300, lr=0.174000, batch loss=0.198629, epoch loss=1.108921 Batch=359, step=6360, lr=0.173750, batch loss=0.265033, epoch loss=1.373954 Batch=419, step=6420, lr=0.173500, batch loss=0.260968, epoch loss=1.634922 Batch=479, step=6480, lr=0.173250, batch loss=0.241658, epoch loss=1.876580 Batch=539, step=6540, lr=0.173000, batch loss=0.195798, epoch loss=2.072378 Batch=599, step=6600, lr=0.172750, batch loss=0.233288, epoch loss=2.305667 Batch=659, step=6660, lr=0.172500, batch loss=0.314144, epoch loss=2.619811 Batch=719, step=6720, lr=0.172250, batch loss=0.317919, epoch loss=2.937730 Batch=779, step=6780, lr=0.172000, batch loss=0.333858, epoch loss=3.271588 Batch=839, step=6840, lr=0.171750, batch loss=0.304562, epoch loss=3.576150 Batch=899, step=6900, lr=0.171500, batch loss=0.267192, epoch loss=3.843342 Batch=959, step=6960, lr=0.171250, batch loss=0.209000, epoch loss=4.052342 Batch=1019, step=7020, lr=0.171000, batch loss=0.327316, epoch loss=4.379658 Batch=1079, step=7080, lr=0.170750, batch loss=0.175413, epoch loss=4.555071 Batch=1139, step=7140, lr=0.170500, batch loss=0.212487, epoch loss=4.767558 Batch=1199, step=7200, lr=0.170250, batch loss=0.190449, epoch loss=4.958007 Epoch=5, step=7200, lr=0.170250, epoch loss=4.958007 Batch=59, step=7260, lr=0.170000, batch loss=0.227221, epoch loss=0.227221 Batch=119, step=7320, lr=0.169750, batch loss=0.188427, epoch loss=0.415648 Batch=179, step=7380, lr=0.169500, batch loss=0.194772, epoch loss=0.610420 Batch=239, step=7440, lr=0.169250, batch loss=0.288778, epoch loss=0.899198 Batch=299, step=7500, lr=0.169000, batch loss=0.193504, epoch loss=1.092702 Batch=359, step=7560, lr=0.168750, batch loss=0.256886, epoch loss=1.349588 Batch=419, step=7620, lr=0.168500, batch loss=0.250346, epoch loss=1.599934 Batch=479, step=7680, lr=0.168250, batch loss=0.226315, epoch loss=1.826250 Batch=539, step=7740, lr=0.168000, batch loss=0.182867, epoch loss=2.009116 Batch=599, step=7800, lr=0.167750, batch loss=0.221159, epoch loss=2.230275 Batch=659, step=7860, lr=0.167500, batch loss=0.307491, epoch loss=2.537767 Batch=719, step=7920, lr=0.167250, batch loss=0.305667, epoch loss=2.843434 Batch=779, step=7980, lr=0.167000, batch loss=0.323498, epoch loss=3.166932 Batch=839, step=8040, lr=0.166750, batch loss=0.294964, epoch loss=3.461896 Batch=899, step=8100, lr=0.166500, batch loss=0.261077, epoch loss=3.722973 Batch=959, step=8160, lr=0.166250, batch loss=0.202948, epoch loss=3.925921 Batch=1019, step=8220, lr=0.166000, batch loss=0.324465, epoch loss=4.250386 Batch=1079, step=8280, lr=0.165750, batch loss=0.190753, epoch loss=4.441139 Batch=1139, step=8340, lr=0.165500, batch loss=0.219925, epoch loss=4.661064 Batch=1199, step=8400, lr=0.165250, batch loss=0.173610, epoch loss=4.834674 Epoch=6, step=8400, lr=0.165250, epoch loss=4.834674 Batch=59, step=8460, lr=0.164750, batch loss=0.210551, epoch loss=0.210551 Batch=119, step=8520, lr=0.164750, batch loss=0.173471, epoch loss=0.384021 Batch=179, step=8580, lr=0.164500, batch loss=0.188663, epoch loss=0.572684 Batch=239, step=8640, lr=0.164000, batch loss=0.280767, epoch loss=0.853451 Batch=299, step=8700, lr=0.164000, batch loss=0.189453, epoch loss=1.042904 Batch=359, step=8760, lr=0.163500, batch loss=0.252010, epoch loss=1.294914 Batch=419, step=8820, lr=0.163500, batch loss=0.249200, epoch loss=1.544114 Batch=479, step=8880, lr=0.163250, batch loss=0.226079, epoch loss=1.770193 Batch=539, step=8940, lr=0.162750, batch loss=0.182854, epoch loss=1.953046 Batch=599, step=9000, lr=0.162750, batch loss=0.214079, epoch loss=2.167126 Batch=659, step=9060, lr=0.162500, batch loss=0.296259, epoch loss=2.463385 Batch=719, step=9120, lr=0.162250, batch loss=0.295842, epoch loss=2.759227 Batch=779, step=9180, lr=0.162000, batch loss=0.318709, epoch loss=3.077935 Batch=839, step=9240, lr=0.161750, batch loss=0.287043, epoch loss=3.364978 Batch=899, step=9300, lr=0.161500, batch loss=0.252366, epoch loss=3.617344 Batch=959, step=9360, lr=0.161250, batch loss=0.200663, epoch loss=3.818008 Batch=1019, step=9420, lr=0.161000, batch loss=0.309919, epoch loss=4.127927 Batch=1079, step=9480, lr=0.160750, batch loss=0.197524, epoch loss=4.325451 Batch=1139, step=9540, lr=0.160500, batch loss=0.214386, epoch loss=4.539837 Batch=1199, step=9600, lr=0.160250, batch loss=0.167343, epoch loss=4.707180 Epoch=7, step=9600, lr=0.160250, epoch loss=4.707180 Batch=59, step=9660, lr=0.160000, batch loss=0.204826, epoch loss=0.204826 Batch=119, step=9720, lr=0.159750, batch loss=0.176236, epoch loss=0.381063 Batch=179, step=9780, lr=0.159500, batch loss=0.180165, epoch loss=0.561228 Batch=239, step=9840, lr=0.159250, batch loss=0.261886, epoch loss=0.823113 Batch=299, step=9900, lr=0.159000, batch loss=0.180243, epoch loss=1.003357 Batch=359, step=9960, lr=0.158750, batch loss=0.242290, epoch loss=1.245647 Batch=419, step=10020, lr=0.158250, batch loss=0.233477, epoch loss=1.479124 Batch=479, step=10080, lr=0.158250, batch loss=0.215013, epoch loss=1.694137 Batch=539, step=10140, lr=0.158000, batch loss=0.171150, epoch loss=1.865287 Batch=599, step=10200, lr=0.157750, batch loss=0.202473, epoch loss=2.067760 Batch=659, step=10260, lr=0.157500, batch loss=0.283103, epoch loss=2.350862 Batch=719, step=10320, lr=0.157250, batch loss=0.280494, epoch loss=2.631357 Batch=779, step=10380, lr=0.157000, batch loss=0.303135, epoch loss=2.934491 Batch=839, step=10440, lr=0.156750, batch loss=0.270976, epoch loss=3.205467 Batch=899, step=10500, lr=0.156500, batch loss=0.242211, epoch loss=3.447679 Batch=959, step=10560, lr=0.156250, batch loss=0.200424, epoch loss=3.648102 Batch=1019, step=10620, lr=0.156000, batch loss=0.281999, epoch loss=3.930101 Batch=1079, step=10680, lr=0.155750, batch loss=0.171706, epoch loss=4.101807 Batch=1139, step=10740, lr=0.155500, batch loss=0.198783, epoch loss=4.300590 Batch=1199, step=10800, lr=0.155000, batch loss=0.155850, epoch loss=4.456440 Epoch=8, step=10800, lr=0.155000, epoch loss=4.456440 Batch=59, step=10860, lr=0.155000, batch loss=0.203948, epoch loss=0.203948 Batch=119, step=10920, lr=0.154750, batch loss=0.155951, epoch loss=0.359899 Batch=179, step=10980, lr=0.154500, batch loss=0.168863, epoch loss=0.528763 Batch=239, step=11040, lr=0.154250, batch loss=0.247547, epoch loss=0.776310 Batch=299, step=11100, lr=0.154000, batch loss=0.163715, epoch loss=0.940025 Batch=359, step=11160, lr=0.153750, batch loss=0.228826, epoch loss=1.168852 Batch=419, step=11220, lr=0.153500, batch loss=0.229722, epoch loss=1.398574 Batch=479, step=11280, lr=0.153250, batch loss=0.204473, epoch loss=1.603047 Batch=539, step=11340, lr=0.153000, batch loss=0.159982, epoch loss=1.763029 Batch=599, step=11400, lr=0.152750, batch loss=0.185748, epoch loss=1.948777 Batch=659, step=11460, lr=0.152500, batch loss=0.264876, epoch loss=2.213652 Batch=719, step=11520, lr=0.152250, batch loss=0.260312, epoch loss=2.473964 Batch=779, step=11580, lr=0.152000, batch loss=0.271113, epoch loss=2.745077 Batch=839, step=11640, lr=0.151750, batch loss=0.253390, epoch loss=2.998468 Batch=899, step=11700, lr=0.151500, batch loss=0.217311, epoch loss=3.215779 Batch=959, step=11760, lr=0.151250, batch loss=0.177059, epoch loss=3.392837 Batch=1019, step=11820, lr=0.151000, batch loss=0.260490, epoch loss=3.653328 Batch=1079, step=11880, lr=0.150750, batch loss=0.145041, epoch loss=3.798368 Batch=1139, step=11940, lr=0.150500, batch loss=0.179791, epoch loss=3.978159 Batch=1199, step=12000, lr=0.150000, batch loss=0.140440, epoch loss=4.118599 Epoch=9, step=12000, lr=0.150000, epoch loss=4.118599 Batch=59, step=12060, lr=0.150000, batch loss=0.163274, epoch loss=0.163274 Batch=119, step=12120, lr=0.149750, batch loss=0.136989, epoch loss=0.300263 Batch=179, step=12180, lr=0.149500, batch loss=0.152797, epoch loss=0.453060 Batch=239, step=12240, lr=0.149250, batch loss=0.222456, epoch loss=0.675516 Batch=299, step=12300, lr=0.149000, batch loss=0.142665, epoch loss=0.818181 Batch=359, step=12360, lr=0.148750, batch loss=0.200461, epoch loss=1.018642 Batch=419, step=12420, lr=0.148500, batch loss=0.207190, epoch loss=1.225833 Batch=479, step=12480, lr=0.148000, batch loss=0.180812, epoch loss=1.406645 Batch=539, step=12540, lr=0.148000, batch loss=0.142872, epoch loss=1.549516 Batch=599, step=12600, lr=0.147750, batch loss=0.150760, epoch loss=1.700276 Batch=659, step=12660, lr=0.147500, batch loss=0.228518, epoch loss=1.928794 Batch=719, step=12720, lr=0.147250, batch loss=0.241469, epoch loss=2.170263 Batch=779, step=12780, lr=0.147000, batch loss=0.265044, epoch loss=2.435306 Batch=839, step=12840, lr=0.146750, batch loss=0.237920, epoch loss=2.673227 Batch=899, step=12900, lr=0.146500, batch loss=0.213239, epoch loss=2.886466 Batch=959, step=12960, lr=0.146250, batch loss=0.156551, epoch loss=3.043016 Batch=1019, step=13020, lr=0.146000, batch loss=0.267374, epoch loss=3.310390 Batch=1079, step=13080, lr=0.145750, batch loss=0.113670, epoch loss=3.424060 Batch=1139, step=13140, lr=0.145500, batch loss=0.153664, epoch loss=3.577724 Batch=1199, step=13200, lr=0.145250, batch loss=0.118675, epoch loss=3.696399 Epoch=10, step=13200, lr=0.145250, epoch loss=3.696399 Batch=59, step=13260, lr=0.145000, batch loss=0.137759, epoch loss=0.137759 Batch=119, step=13320, lr=0.144750, batch loss=0.120829, epoch loss=0.258588 Batch=179, step=13380, lr=0.144500, batch loss=0.129160, epoch loss=0.387748 Batch=239, step=13440, lr=0.144250, batch loss=0.186047, epoch loss=0.573795 Batch=299, step=13500, lr=0.144000, batch loss=0.116309, epoch loss=0.690104 Batch=359, step=13560, lr=0.143750, batch loss=0.163853, epoch loss=0.853958 Batch=419, step=13620, lr=0.143500, batch loss=0.162944, epoch loss=1.016902 Batch=479, step=13680, lr=0.143250, batch loss=0.148888, epoch loss=1.165789 Batch=539, step=13740, lr=0.143000, batch loss=0.120782, epoch loss=1.286571 Batch=599, step=13800, lr=0.142750, batch loss=0.122464, epoch loss=1.409036 Batch=659, step=13860, lr=0.142250, batch loss=0.178313, epoch loss=1.587349 Batch=719, step=13920, lr=0.142250, batch loss=0.179283, epoch loss=1.766632 Batch=779, step=13980, lr=0.142000, batch loss=0.199148, epoch loss=1.965781 Batch=839, step=14040, lr=0.141750, batch loss=0.187115, epoch loss=2.152896 Batch=899, step=14100, lr=0.141250, batch loss=0.162349, epoch loss=2.315245 Batch=959, step=14160, lr=0.141250, batch loss=0.133388, epoch loss=2.448633 Batch=1019, step=14220, lr=0.141000, batch loss=0.281743, epoch loss=2.730376 Batch=1079, step=14280, lr=0.140750, batch loss=0.089873, epoch loss=2.820248 Batch=1139, step=14340, lr=0.140500, batch loss=0.132337, epoch loss=2.952586 Batch=1199, step=14400, lr=0.140250, batch loss=0.095612, epoch loss=3.048198 Epoch=11, step=14400, lr=0.140250, epoch loss=3.048198 Batch=59, step=14460, lr=0.140000, batch loss=0.122462, epoch loss=0.122462 Batch=119, step=14520, lr=0.139750, batch loss=0.106238, epoch loss=0.228700 Batch=179, step=14580, lr=0.139500, batch loss=0.104583, epoch loss=0.333283 Batch=239, step=14640, lr=0.139250, batch loss=0.146273, epoch loss=0.479556 Batch=299, step=14700, lr=0.139000, batch loss=0.078637, epoch loss=0.558192 Batch=359, step=14760, lr=0.138750, batch loss=0.123934, epoch loss=0.682127 Batch=419, step=14820, lr=0.138500, batch loss=0.134202, epoch loss=0.816328 Batch=479, step=14880, lr=0.138000, batch loss=0.102938, epoch loss=0.919267 Batch=539, step=14940, lr=0.138000, batch loss=0.101778, epoch loss=1.021045 Batch=599, step=15000, lr=0.137750, batch loss=0.086753, epoch loss=1.107798 Batch=659, step=15060, lr=0.137500, batch loss=0.131085, epoch loss=1.238883 Batch=719, step=15120, lr=0.137250, batch loss=0.126464, epoch loss=1.365347 Batch=779, step=15180, lr=0.137000, batch loss=0.129997, epoch loss=1.495344 Batch=839, step=15240, lr=0.136750, batch loss=0.156105, epoch loss=1.651449 Batch=899, step=15300, lr=0.136500, batch loss=0.256056, epoch loss=1.907505 Batch=959, step=15360, lr=0.136250, batch loss=0.067522, epoch loss=1.975027 Batch=1019, step=15420, lr=0.136000, batch loss=0.159838, epoch loss=2.134865 Batch=1079, step=15480, lr=0.135750, batch loss=0.052038, epoch loss=2.186903 Batch=1139, step=15540, lr=0.135500, batch loss=0.113187, epoch loss=2.300090 Batch=1199, step=15600, lr=0.135250, batch loss=0.063721, epoch loss=2.363812 Epoch=12, step=15600, lr=0.135250, epoch loss=2.363812 Batch=59, step=15660, lr=0.135000, batch loss=0.079583, epoch loss=0.079583 Batch=119, step=15720, lr=0.134750, batch loss=0.121747, epoch loss=0.201330 Batch=179, step=15780, lr=0.134500, batch loss=0.092957, epoch loss=0.294287 Batch=239, step=15840, lr=0.134250, batch loss=0.096757, epoch loss=0.391044 Batch=299, step=15900, lr=0.134000, batch loss=0.039619, epoch loss=0.430663 Batch=359, step=15960, lr=0.133750, batch loss=0.083500, epoch loss=0.514163 Batch=419, step=16020, lr=0.133500, batch loss=0.082272, epoch loss=0.596435 Batch=479, step=16080, lr=0.133250, batch loss=0.066408, epoch loss=0.662844 Batch=539, step=16140, lr=0.133000, batch loss=0.056760, epoch loss=0.719604 Batch=599, step=16200, lr=0.132750, batch loss=0.098676, epoch loss=0.818280 Batch=659, step=16260, lr=0.132500, batch loss=0.077690, epoch loss=0.895970 Batch=719, step=16320, lr=0.132000, batch loss=0.077221, epoch loss=0.973191 Batch=779, step=16380, lr=0.132000, batch loss=0.090038, epoch loss=1.063229 Batch=839, step=16440, lr=0.131750, batch loss=0.099665, epoch loss=1.162894 Batch=899, step=16500, lr=0.131500, batch loss=0.149294, epoch loss=1.312188 Batch=959, step=16560, lr=0.131250, batch loss=0.055606, epoch loss=1.367793 Batch=1019, step=16620, lr=0.131000, batch loss=0.148439, epoch loss=1.516233 Batch=1079, step=16680, lr=0.130750, batch loss=0.021140, epoch loss=1.537373 Batch=1139, step=16740, lr=0.130500, batch loss=0.043044, epoch loss=1.580417 Batch=1199, step=16800, lr=0.130250, batch loss=0.025239, epoch loss=1.605656 Epoch=13, step=16800, lr=0.130250, epoch loss=1.605656 Batch=59, step=16860, lr=0.130000, batch loss=0.036838, epoch loss=0.036838 Batch=119, step=16920, lr=0.129750, batch loss=0.068865, epoch loss=0.105703 Batch=179, step=16980, lr=0.129500, batch loss=0.051695, epoch loss=0.157398 Batch=239, step=17040, lr=0.129000, batch loss=0.070539, epoch loss=0.227937 Batch=299, step=17100, lr=0.129000, batch loss=0.039023, epoch loss=0.266960 Batch=359, step=17160, lr=0.128750, batch loss=0.050201, epoch loss=0.317161 Batch=419, step=17220, lr=0.128500, batch loss=0.081324, epoch loss=0.398486 Batch=479, step=17280, lr=0.128250, batch loss=0.023643, epoch loss=0.422128 Batch=539, step=17340, lr=0.128000, batch loss=0.028746, epoch loss=0.450874 Batch=599, step=17400, lr=0.127750, batch loss=0.036784, epoch loss=0.487658 Batch=659, step=17460, lr=0.127500, batch loss=0.056465, epoch loss=0.544123 Batch=719, step=17520, lr=0.127250, batch loss=0.091422, epoch loss=0.635545 Batch=779, step=17580, lr=0.127000, batch loss=0.061489, epoch loss=0.697035 Batch=839, step=17640, lr=0.126750, batch loss=0.095570, epoch loss=0.792605 Batch=899, step=17700, lr=0.126500, batch loss=0.049652, epoch loss=0.842257 Batch=959, step=17760, lr=0.126250, batch loss=0.020241, epoch loss=0.862498 Batch=1019, step=17820, lr=0.126000, batch loss=0.050003, epoch loss=0.912501 Batch=1079, step=17880, lr=0.125750, batch loss=0.040425, epoch loss=0.952926 Batch=1139, step=17940, lr=0.125500, batch loss=0.074279, epoch loss=1.027205 Batch=1199, step=18000, lr=0.125250, batch loss=0.023678, epoch loss=1.050883 Epoch=14, step=18000, lr=0.125250, epoch loss=1.050883 Batch=59, step=18060, lr=0.125000, batch loss=0.016673, epoch loss=0.016673 Batch=119, step=18120, lr=0.124750, batch loss=0.019159, epoch loss=0.035833 Batch=179, step=18180, lr=0.124500, batch loss=0.029669, epoch loss=0.065501 Batch=239, step=18240, lr=0.124250, batch loss=0.037708, epoch loss=0.103209 Batch=299, step=18300, lr=0.124000, batch loss=0.011416, epoch loss=0.114625 Batch=359, step=18360, lr=0.123750, batch loss=0.024558, epoch loss=0.139183 Batch=419, step=18420, lr=0.123500, batch loss=0.031944, epoch loss=0.171128 Batch=479, step=18480, lr=0.123250, batch loss=0.020321, epoch loss=0.191449 Batch=539, step=18540, lr=0.123000, batch loss=0.039904, epoch loss=0.231352 Batch=599, step=18600, lr=0.122750, batch loss=0.026595, epoch loss=0.257948 Batch=659, step=18660, lr=0.122500, batch loss=0.033404, epoch loss=0.291352 Batch=719, step=18720, lr=0.122250, batch loss=0.043595, epoch loss=0.334947 Batch=779, step=18780, lr=0.122000, batch loss=0.117532, epoch loss=0.452479 Batch=839, step=18840, lr=0.121750, batch loss=0.057593, epoch loss=0.510073 Batch=899, step=18900, lr=0.121500, batch loss=0.058414, epoch loss=0.568487 Batch=959, step=18960, lr=0.121250, batch loss=0.013962, epoch loss=0.582449 Batch=1019, step=19020, lr=0.121000, batch loss=0.016743, epoch loss=0.599192 Batch=1079, step=19080, lr=0.120500, batch loss=0.008699, epoch loss=0.607891 Batch=1139, step=19140, lr=0.120500, batch loss=0.023921, epoch loss=0.631812 Batch=1199, step=19200, lr=0.120250, batch loss=0.009650, epoch loss=0.641462 Epoch=15, step=19200, lr=0.120250, epoch loss=0.641462 Batch=59, step=19260, lr=0.120000, batch loss=0.004583, epoch loss=0.004583 Batch=119, step=19320, lr=0.119750, batch loss=0.021185, epoch loss=0.025767 Batch=179, step=19380, lr=0.119500, batch loss=0.070785, epoch loss=0.096552 Batch=239, step=19440, lr=0.119250, batch loss=0.028468, epoch loss=0.125020 Batch=299, step=19500, lr=0.119000, batch loss=0.011300, epoch loss=0.136320 Batch=359, step=19560, lr=0.118750, batch loss=0.025215, epoch loss=0.161535 Batch=419, step=19620, lr=0.118500, batch loss=0.021316, epoch loss=0.182851 Batch=479, step=19680, lr=0.118250, batch loss=0.007378, epoch loss=0.190229 Batch=539, step=19740, lr=0.118000, batch loss=0.016840, epoch loss=0.207069 Batch=599, step=19800, lr=0.117750, batch loss=0.024761, epoch loss=0.231829 Batch=659, step=19860, lr=0.117500, batch loss=0.020798, epoch loss=0.252628 Batch=719, step=19920, lr=0.117250, batch loss=0.048514, epoch loss=0.301142 Batch=779, step=19980, lr=0.117000, batch loss=0.083913, epoch loss=0.385055 Batch=839, step=20040, lr=0.116750, batch loss=0.031148, epoch loss=0.416203 Batch=899, step=20100, lr=0.116500, batch loss=0.029189, epoch loss=0.445392 Batch=959, step=20160, lr=0.116250, batch loss=0.013227, epoch loss=0.458619 Batch=1019, step=20220, lr=0.116000, batch loss=0.014887, epoch loss=0.473507 Batch=1079, step=20280, lr=0.115750, batch loss=0.002812, epoch loss=0.476319 Batch=1139, step=20340, lr=0.115500, batch loss=0.015995, epoch loss=0.492315 Batch=1199, step=20400, lr=0.115250, batch loss=0.006134, epoch loss=0.498449 Epoch=16, step=20400, lr=0.115250, epoch loss=0.498449 Batch=59, step=20460, lr=0.115000, batch loss=0.003048, epoch loss=0.003048 Batch=119, step=20520, lr=0.114750, batch loss=0.010828, epoch loss=0.013875 Batch=179, step=20580, lr=0.114500, batch loss=0.026278, epoch loss=0.040153 Batch=239, step=20640, lr=0.114250, batch loss=0.014368, epoch loss=0.054521 Batch=299, step=20700, lr=0.114000, batch loss=0.004585, epoch loss=0.059106 Batch=359, step=20760, lr=0.113750, batch loss=0.013759, epoch loss=0.072865 Batch=419, step=20820, lr=0.113500, batch loss=0.014645, epoch loss=0.087510 Batch=479, step=20880, lr=0.113250, batch loss=0.006142, epoch loss=0.093652 Batch=539, step=20940, lr=0.113000, batch loss=0.016113, epoch loss=0.109765 Batch=599, step=21000, lr=0.112750, batch loss=0.018324, epoch loss=0.128089 Batch=659, step=21060, lr=0.112500, batch loss=0.015961, epoch loss=0.144050 Batch=719, step=21120, lr=0.112250, batch loss=0.038588, epoch loss=0.182638 Batch=779, step=21180, lr=0.112000, batch loss=0.074835, epoch loss=0.257473 Batch=839, step=21240, lr=0.111750, batch loss=0.026583, epoch loss=0.284056 Batch=899, step=21300, lr=0.111500, batch loss=0.033893, epoch loss=0.317948 Batch=959, step=21360, lr=0.111250, batch loss=0.009753, epoch loss=0.327702 Batch=1019, step=21420, lr=0.111000, batch loss=0.010502, epoch loss=0.338204 Batch=1079, step=21480, lr=0.110750, batch loss=0.001459, epoch loss=0.339663 Batch=1139, step=21540, lr=0.110500, batch loss=0.012755, epoch loss=0.352418 Batch=1199, step=21600, lr=0.110250, batch loss=0.005272, epoch loss=0.357691 Epoch=17, step=21600, lr=0.110250, epoch loss=0.357691 Batch=59, step=21660, lr=0.110000, batch loss=0.002446, epoch loss=0.002446 Batch=119, step=21720, lr=0.109750, batch loss=0.006337, epoch loss=0.008783 Batch=179, step=21780, lr=0.109500, batch loss=0.012688, epoch loss=0.021471 Batch=239, step=21840, lr=0.109250, batch loss=0.009383, epoch loss=0.030854 Batch=299, step=21900, lr=0.109000, batch loss=0.003570, epoch loss=0.034423 Batch=359, step=21960, lr=0.108750, batch loss=0.014740, epoch loss=0.049163 Batch=419, step=22020, lr=0.108250, batch loss=0.012031, epoch loss=0.061194 Batch=479, step=22080, lr=0.108250, batch loss=0.002802, epoch loss=0.063997 Batch=539, step=22140, lr=0.108000, batch loss=0.016863, epoch loss=0.080860 Batch=599, step=22200, lr=0.107750, batch loss=0.017198, epoch loss=0.098057 Batch=659, step=22260, lr=0.107500, batch loss=0.015528, epoch loss=0.113585 Batch=719, step=22320, lr=0.107250, batch loss=0.025131, epoch loss=0.138716 Batch=779, step=22380, lr=0.107000, batch loss=0.037396, epoch loss=0.176112 Batch=839, step=22440, lr=0.106750, batch loss=0.023368, epoch loss=0.199480 Batch=899, step=22500, lr=0.106250, batch loss=0.031039, epoch loss=0.230518 Batch=959, step=22560, lr=0.106250, batch loss=0.009184, epoch loss=0.239703 Batch=1019, step=22620, lr=0.106000, batch loss=0.009868, epoch loss=0.249571 Batch=1079, step=22680, lr=0.105750, batch loss=0.000348, epoch loss=0.249919 Batch=1139, step=22740, lr=0.105500, batch loss=0.011633, epoch loss=0.261552 Batch=1199, step=22800, lr=0.105000, batch loss=0.004624, epoch loss=0.266176 Epoch=18, step=22800, lr=0.105000, epoch loss=0.266176 Batch=59, step=22860, lr=0.105000, batch loss=0.001509, epoch loss=0.001509 Batch=119, step=22920, lr=0.104750, batch loss=0.005451, epoch loss=0.006960 Batch=179, step=22980, lr=0.104500, batch loss=0.011167, epoch loss=0.018127 Batch=239, step=23040, lr=0.104250, batch loss=0.010448, epoch loss=0.028575 Batch=299, step=23100, lr=0.104000, batch loss=0.008435, epoch loss=0.037010 Batch=359, step=23160, lr=0.103500, batch loss=0.011086, epoch loss=0.048096 Batch=419, step=23220, lr=0.103250, batch loss=0.011246, epoch loss=0.059342 Batch=479, step=23280, lr=0.103250, batch loss=0.003327, epoch loss=0.062669 Batch=539, step=23340, lr=0.103000, batch loss=0.015266, epoch loss=0.077935 Batch=599, step=23400, lr=0.102750, batch loss=0.014062, epoch loss=0.091997 Batch=659, step=23460, lr=0.102250, batch loss=0.011986, epoch loss=0.103982 Batch=719, step=23520, lr=0.102250, batch loss=0.010736, epoch loss=0.114718 Batch=779, step=23580, lr=0.102000, batch loss=0.018547, epoch loss=0.133265 Batch=839, step=23640, lr=0.101750, batch loss=0.029811, epoch loss=0.163076 Batch=899, step=23700, lr=0.101250, batch loss=0.020337, epoch loss=0.183413 Batch=959, step=23760, lr=0.101250, batch loss=0.009328, epoch loss=0.192742 Batch=1019, step=23820, lr=0.101000, batch loss=0.007915, epoch loss=0.200657 Batch=1079, step=23880, lr=0.100750, batch loss=0.000469, epoch loss=0.201125 Batch=1139, step=23940, lr=0.100500, batch loss=0.009409, epoch loss=0.210534 Batch=1199, step=24000, lr=0.100250, batch loss=0.004439, epoch loss=0.214973 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214973 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 11:56.38: Job failed: Failed: Build failed