2025-05-21 20:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (dbcdf2e378618e3c8d1d5ac89a107cc5a9fab6ef) (linux-x86_64:fedora-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 dbcdf2e3 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 20:19.55: 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 20:19.55: 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 20:19.55: Waiting for resource in pool OCluster 2025-05-21 20:19.55: Waiting for worker… 2025-05-21 20:30.27: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at dbcdf2e3 Update test target (logging multicore_cc) (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-21 20:30.30 ---> 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% | 7.0 KiB/s | 989.0 B | 00m00s Fedora 41 - x86_64 100% | 190.3 KiB/s | 25.7 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 185.6 KiB/s | 24.3 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 8.1 MiB/s | 9.6 MiB | 00m01s Repositories loaded. Nothing to do. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. 2025-05-21 20:30.30 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 20:30.30 ---> 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 20:30.30 ---> 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 20:30.30 ---> using "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 20:30.30 ---> 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..ffb3d1e34a master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-21 20:30.30 ---> using "47e222691df9f48e96b82354930e643d109158150dc7c77fac9953e2867a0de2" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 20:30.30 ---> 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 20:30.30 ---> using "063b3fe81118ec0277acdaec22f1eecc2dd6a81fe61f9d9f1889e8d0cbd0aebf" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 20:30.30 ---> 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% | 359.6 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 113.2 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 31.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 366.2 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 20:30.30 ---> 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 angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (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 cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved 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_minidebug.2.2.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed 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 ocaml-syntax-shims.1.0.0 -> installed ppx_derivers.1.2.1 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed mdx.2.5.0 -> 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.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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 20:30.30 ---> using "1de4cf5d4fa2045ccadabf4d63be5b5e21a9617c39609bd14197216061357a4d" from cache /src: (copy (src .) (dst /src)) 2025-05-21 20:30.32 ---> saved as "ced0ecca597be7fc15eceb7353fac54b1e4f170e517a24dfc51fb816f7742d2b" /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_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/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/17263b7ce80f1a9cf98cbc275af7e0e0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/444f520f62279ee0f849978e770e40f0/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/444f520f62279ee0f849978e770e40f0/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=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.856726, epoch loss=35.627544 Batch=299, step=300, lr=0.199000, batch loss=1.435283, epoch loss=37.062828 Batch=359, step=360, lr=0.198500, batch loss=1.340531, epoch loss=38.403359 Batch=419, step=420, lr=0.198250, batch loss=0.610151, epoch loss=39.013510 Batch=479, step=480, lr=0.198000, batch loss=0.747829, epoch loss=39.761338 Batch=539, step=540, lr=0.198000, batch loss=0.686948, epoch loss=40.448287 Batch=599, step=600, lr=0.197750, batch loss=1.105553, epoch loss=41.553840 Batch=659, step=660, lr=0.197500, batch loss=0.481548, epoch loss=42.035388 Batch=719, step=720, lr=0.197000, batch loss=0.410705, epoch loss=42.446093 Batch=779, step=780, lr=0.196750, batch loss=0.469751, epoch loss=42.915844 Batch=839, step=840, lr=0.196750, batch loss=0.450216, epoch loss=43.366060 Batch=899, step=900, lr=0.196500, batch loss=0.383525, epoch loss=43.749585 Batch=959, step=960, lr=0.196250, batch loss=0.257987, epoch loss=44.007572 Batch=1019, step=1020, lr=0.196000, batch loss=0.485930, epoch loss=44.493502 Batch=1079, step=1080, lr=0.195750, batch loss=0.268652, epoch loss=44.762154 Batch=1139, step=1140, lr=0.195500, batch loss=0.339217, epoch loss=45.101371 Batch=1199, step=1200, lr=0.195250, batch loss=0.265288, epoch loss=45.366659 Epoch=0, step=1200, lr=0.195250, epoch loss=45.366659 Batch=59, step=1260, lr=0.195000, batch loss=0.265130, epoch loss=0.265130 Batch=119, step=1320, lr=0.194750, batch loss=0.204866, epoch loss=0.469997 Batch=179, step=1380, lr=0.194500, batch loss=0.245912, epoch loss=0.715908 Batch=239, step=1440, lr=0.194250, batch loss=0.349617, epoch loss=1.065525 Batch=299, step=1500, lr=0.193750, batch loss=0.236235, epoch loss=1.301760 Batch=359, step=1560, lr=0.193750, batch loss=0.313640, epoch loss=1.615400 Batch=419, step=1620, lr=0.193500, batch loss=0.310219, epoch loss=1.925619 Batch=479, step=1680, lr=0.193000, batch loss=0.274951, epoch loss=2.200570 Batch=539, step=1740, lr=0.192750, batch loss=0.208142, epoch loss=2.408711 Batch=599, step=1800, lr=0.192500, batch loss=0.241452, epoch loss=2.650163 Batch=659, step=1860, lr=0.192500, batch loss=0.359356, epoch loss=3.009519 Batch=719, step=1920, lr=0.192000, batch loss=0.359498, epoch loss=3.369017 Batch=779, step=1980, lr=0.191750, batch loss=0.385112, epoch loss=3.754129 Batch=839, step=2040, lr=0.191500, batch loss=0.350382, epoch loss=4.104510 Batch=899, step=2100, lr=0.191500, batch loss=0.325538, epoch loss=4.430048 Batch=959, step=2160, lr=0.191000, batch loss=0.255850, epoch loss=4.685898 Batch=1019, step=2220, lr=0.191000, batch loss=0.395620, epoch loss=5.081519 Batch=1079, step=2280, lr=0.190750, batch loss=0.244574, epoch loss=5.326093 Batch=1139, step=2340, lr=0.190500, batch loss=0.275932, epoch loss=5.602025 Batch=1199, step=2400, lr=0.190250, batch loss=0.215925, epoch loss=5.817950 Epoch=1, step=2400, lr=0.190250, epoch loss=5.817950 Batch=59, step=2460, lr=0.189750, batch loss=0.233203, epoch loss=0.233203 Batch=119, step=2520, lr=0.189500, batch loss=0.195983, epoch loss=0.429186 Batch=179, step=2580, lr=0.189250, batch loss=0.223950, epoch loss=0.653136 Batch=239, step=2640, lr=0.189000, batch loss=0.331531, epoch loss=0.984667 Batch=299, step=2700, lr=0.188750, batch loss=0.204718, epoch loss=1.189385 Batch=359, step=2760, lr=0.188750, batch loss=0.290919, epoch loss=1.480303 Batch=419, step=2820, lr=0.188500, batch loss=0.282315, epoch loss=1.762619 Batch=479, step=2880, lr=0.188250, batch loss=0.254205, epoch loss=2.016824 Batch=539, step=2940, lr=0.187750, batch loss=0.193072, epoch loss=2.209895 Batch=599, step=3000, lr=0.187500, batch loss=0.227989, epoch loss=2.437884 Batch=659, step=3060, lr=0.187250, batch loss=0.336802, epoch loss=2.774686 Batch=719, step=3120, lr=0.187000, batch loss=0.330992, epoch loss=3.105678 Batch=779, step=3180, lr=0.187000, batch loss=0.355508, epoch loss=3.461186 Batch=839, step=3240, lr=0.186750, batch loss=0.331140, epoch loss=3.792326 Batch=899, step=3300, lr=0.186500, batch loss=0.302722, epoch loss=4.095048 Batch=959, step=3360, lr=0.186250, batch loss=0.242200, epoch loss=4.337248 Batch=1019, step=3420, lr=0.186000, batch loss=0.357403, epoch loss=4.694651 Batch=1079, step=3480, lr=0.185750, batch loss=0.223138, epoch loss=4.917789 Batch=1139, step=3540, lr=0.185500, batch loss=0.262986, epoch loss=5.180776 Batch=1199, step=3600, lr=0.185250, batch loss=0.200890, epoch loss=5.381666 Epoch=2, step=3600, lr=0.185250, epoch loss=5.381666 Batch=59, step=3660, lr=0.185000, batch loss=0.222235, epoch loss=0.222235 Batch=119, step=3720, lr=0.184750, batch loss=0.185618, epoch loss=0.407853 Batch=179, step=3780, lr=0.184500, batch loss=0.212994, epoch loss=0.620847 Batch=239, step=3840, lr=0.184000, batch loss=0.317590, epoch loss=0.938437 Batch=299, step=3900, lr=0.184000, batch loss=0.205661, epoch loss=1.144099 Batch=359, step=3960, lr=0.183750, batch loss=0.286971, epoch loss=1.431070 Batch=419, step=4020, lr=0.183500, batch loss=0.274804, epoch loss=1.705874 Batch=479, step=4080, lr=0.183250, batch loss=0.253642, epoch loss=1.959516 Batch=539, step=4140, lr=0.183000, batch loss=0.190241, epoch loss=2.149757 Batch=599, step=4200, lr=0.182750, batch loss=0.230737, epoch loss=2.380494 Batch=659, step=4260, lr=0.182500, batch loss=0.330982, epoch loss=2.711476 Batch=719, step=4320, lr=0.182250, batch loss=0.334180, epoch loss=3.045656 Batch=779, step=4380, lr=0.182000, batch loss=0.357459, epoch loss=3.403115 Batch=839, step=4440, lr=0.181750, batch loss=0.313330, epoch loss=3.716445 Batch=899, step=4500, lr=0.181500, batch loss=0.285593, epoch loss=4.002037 Batch=959, step=4560, lr=0.181250, batch loss=0.238001, epoch loss=4.240038 Batch=1019, step=4620, lr=0.180750, batch loss=0.328812, epoch loss=4.568850 Batch=1079, step=4680, lr=0.180500, batch loss=0.195629, epoch loss=4.764479 Batch=1139, step=4740, lr=0.180500, batch loss=0.228384, epoch loss=4.992864 Batch=1199, step=4800, lr=0.180250, batch loss=0.194824, epoch loss=5.187688 Epoch=3, step=4800, lr=0.180250, epoch loss=5.187688 Batch=59, step=4860, lr=0.179750, batch loss=0.240432, epoch loss=0.240432 Batch=119, step=4920, lr=0.179750, batch loss=0.196449, epoch loss=0.436881 Batch=179, step=4980, lr=0.179500, batch loss=0.207374, epoch loss=0.644255 Batch=239, step=5040, lr=0.179250, batch loss=0.308194, epoch loss=0.952449 Batch=299, step=5100, lr=0.179000, batch loss=0.201561, epoch loss=1.154010 Batch=359, step=5160, lr=0.178750, batch loss=0.274660, epoch loss=1.428670 Batch=419, step=5220, lr=0.178250, batch loss=0.265491, epoch loss=1.694161 Batch=479, step=5280, lr=0.178250, batch loss=0.240541, epoch loss=1.934702 Batch=539, step=5340, lr=0.178000, batch loss=0.189975, epoch loss=2.124677 Batch=599, step=5400, lr=0.177750, batch loss=0.230908, epoch loss=2.355584 Batch=659, step=5460, lr=0.177250, batch loss=0.325537, epoch loss=2.681121 Batch=719, step=5520, lr=0.177250, batch loss=0.326685, epoch loss=3.007806 Batch=779, step=5580, lr=0.177000, batch loss=0.345298, epoch loss=3.353104 Batch=839, step=5640, lr=0.176750, batch loss=0.309874, epoch loss=3.662978 Batch=899, step=5700, lr=0.176500, batch loss=0.272604, epoch loss=3.935582 Batch=959, step=5760, lr=0.176000, batch loss=0.215708, epoch loss=4.151290 Batch=1019, step=5820, lr=0.176000, batch loss=0.338215, epoch loss=4.489505 Batch=1079, step=5880, lr=0.175500, batch loss=0.202158, epoch loss=4.691663 Batch=1139, step=5940, lr=0.175250, batch loss=0.240068, epoch loss=4.931731 Batch=1199, step=6000, lr=0.175000, batch loss=0.188513, epoch loss=5.120244 Epoch=4, step=6000, lr=0.175000, epoch loss=5.120244 Batch=59, step=6060, lr=0.175000, batch loss=0.229587, epoch loss=0.229587 Batch=119, step=6120, lr=0.174750, batch loss=0.187855, epoch loss=0.417442 Batch=179, step=6180, lr=0.174500, batch loss=0.202973, epoch loss=0.620415 Batch=239, step=6240, lr=0.174250, batch loss=0.300374, epoch loss=0.920788 Batch=299, step=6300, lr=0.174000, batch loss=0.199459, epoch loss=1.120247 Batch=359, step=6360, lr=0.173750, batch loss=0.265110, epoch loss=1.385358 Batch=419, step=6420, lr=0.173500, batch loss=0.259016, epoch loss=1.644374 Batch=479, step=6480, lr=0.173250, batch loss=0.235043, epoch loss=1.879417 Batch=539, step=6540, lr=0.173000, batch loss=0.185633, epoch loss=2.065050 Batch=599, step=6600, lr=0.172750, batch loss=0.230645, epoch loss=2.295695 Batch=659, step=6660, lr=0.172250, batch loss=0.315497, epoch loss=2.611192 Batch=719, step=6720, lr=0.172250, batch loss=0.316886, epoch loss=2.928078 Batch=779, step=6780, lr=0.171750, batch loss=0.331504, epoch loss=3.259583 Batch=839, step=6840, lr=0.171750, batch loss=0.305738, epoch loss=3.565320 Batch=899, step=6900, lr=0.171500, batch loss=0.266378, epoch loss=3.831698 Batch=959, step=6960, lr=0.171000, batch loss=0.214918, epoch loss=4.046616 Batch=1019, step=7020, lr=0.170750, batch loss=0.327607, epoch loss=4.374223 Batch=1079, step=7080, lr=0.170750, batch loss=0.174414, epoch loss=4.548637 Batch=1139, step=7140, lr=0.170250, batch loss=0.213286, epoch loss=4.761923 Batch=1199, step=7200, lr=0.170250, batch loss=0.191075, epoch loss=4.952997 Epoch=5, step=7200, lr=0.170250, epoch loss=4.952997 Batch=59, step=7260, lr=0.170000, batch loss=0.226312, epoch loss=0.226312 Batch=119, step=7320, lr=0.169750, batch loss=0.189682, epoch loss=0.415994 Batch=179, step=7380, lr=0.169500, batch loss=0.194887, epoch loss=0.610881 Batch=239, step=7440, lr=0.169250, batch loss=0.293817, epoch loss=0.904697 Batch=299, step=7500, lr=0.168750, batch loss=0.204938, epoch loss=1.109636 Batch=359, step=7560, lr=0.168500, batch loss=0.264341, epoch loss=1.373977 Batch=419, step=7620, lr=0.168250, batch loss=0.254794, epoch loss=1.628771 Batch=479, step=7680, lr=0.168000, batch loss=0.233226, epoch loss=1.861997 Batch=539, step=7740, lr=0.168000, batch loss=0.186315, epoch loss=2.048312 Batch=599, step=7800, lr=0.167750, batch loss=0.225681, epoch loss=2.273994 Batch=659, step=7860, lr=0.167500, batch loss=0.305333, epoch loss=2.579326 Batch=719, step=7920, lr=0.167000, batch loss=0.309965, epoch loss=2.889291 Batch=779, step=7980, lr=0.166750, batch loss=0.330698, epoch loss=3.219989 Batch=839, step=8040, lr=0.166500, batch loss=0.292933, epoch loss=3.512922 Batch=899, step=8100, lr=0.166250, batch loss=0.264471, epoch loss=3.777393 Batch=959, step=8160, lr=0.166250, batch loss=0.197856, epoch loss=3.975250 Batch=1019, step=8220, lr=0.166000, batch loss=0.324323, epoch loss=4.299573 Batch=1079, step=8280, lr=0.165500, batch loss=0.188665, epoch loss=4.488239 Batch=1139, step=8340, lr=0.165250, batch loss=0.214684, epoch loss=4.702922 Batch=1199, step=8400, lr=0.165000, batch loss=0.173430, epoch loss=4.876352 Epoch=6, step=8400, lr=0.165000, epoch loss=4.876352 Batch=59, step=8460, lr=0.164750, batch loss=0.211532, epoch loss=0.211532 Batch=119, step=8520, lr=0.164500, batch loss=0.173372, epoch loss=0.384904 Batch=179, step=8580, lr=0.164250, batch loss=0.188820, epoch loss=0.573724 Batch=239, step=8640, lr=0.164000, batch loss=0.282346, epoch loss=0.856070 Batch=299, step=8700, lr=0.164000, batch loss=0.199053, epoch loss=1.055123 Batch=359, step=8760, lr=0.163750, batch loss=0.254709, epoch loss=1.309833 Batch=419, step=8820, lr=0.163250, batch loss=0.247127, epoch loss=1.556960 Batch=479, step=8880, lr=0.163250, batch loss=0.229493, epoch loss=1.786453 Batch=539, step=8940, lr=0.163000, batch loss=0.179814, epoch loss=1.966267 Batch=599, step=9000, lr=0.162750, batch loss=0.218669, epoch loss=2.184936 Batch=659, step=9060, lr=0.162500, batch loss=0.293858, epoch loss=2.478794 Batch=719, step=9120, lr=0.162000, batch loss=0.298471, epoch loss=2.777265 Batch=779, step=9180, lr=0.162000, batch loss=0.315235, epoch loss=3.092500 Batch=839, step=9240, lr=0.161500, batch loss=0.282186, epoch loss=3.374687 Batch=899, step=9300, lr=0.161500, batch loss=0.253662, epoch loss=3.628349 Batch=959, step=9360, lr=0.161000, batch loss=0.188108, epoch loss=3.816457 Batch=1019, step=9420, lr=0.160750, batch loss=0.318748, epoch loss=4.135205 Batch=1079, step=9480, lr=0.160500, batch loss=0.197745, epoch loss=4.332949 Batch=1139, step=9540, lr=0.160250, batch loss=0.213329, epoch loss=4.546278 Batch=1199, step=9600, lr=0.160000, batch loss=0.168846, epoch loss=4.715125 Epoch=7, step=9600, lr=0.160000, epoch loss=4.715125 Batch=59, step=9660, lr=0.159750, batch loss=0.201011, epoch loss=0.201011 Batch=119, step=9720, lr=0.159750, batch loss=0.166348, epoch loss=0.367358 Batch=179, step=9780, lr=0.159250, batch loss=0.180173, epoch loss=0.547531 Batch=239, step=9840, lr=0.159000, batch loss=0.264994, epoch loss=0.812525 Batch=299, step=9900, lr=0.159000, batch loss=0.182999, epoch loss=0.995523 Batch=359, step=9960, lr=0.158500, batch loss=0.242750, epoch loss=1.238273 Batch=419, step=10020, lr=0.158250, batch loss=0.233668, epoch loss=1.471941 Batch=479, step=10080, lr=0.158000, batch loss=0.216997, epoch loss=1.688938 Batch=539, step=10140, lr=0.157750, batch loss=0.170395, epoch loss=1.859333 Batch=599, step=10200, lr=0.157500, batch loss=0.205207, epoch loss=2.064540 Batch=659, step=10260, lr=0.157250, batch loss=0.282656, epoch loss=2.347196 Batch=719, step=10320, lr=0.157000, batch loss=0.282353, epoch loss=2.629550 Batch=779, step=10380, lr=0.157000, batch loss=0.299730, epoch loss=2.929279 Batch=839, step=10440, lr=0.156500, batch loss=0.274869, epoch loss=3.204148 Batch=899, step=10500, lr=0.156500, batch loss=0.239583, epoch loss=3.443731 Batch=959, step=10560, lr=0.156000, batch loss=0.179040, epoch loss=3.622771 Batch=1019, step=10620, lr=0.155750, batch loss=0.286655, epoch loss=3.909426 Batch=1079, step=10680, lr=0.155500, batch loss=0.174820, epoch loss=4.084247 Batch=1139, step=10740, lr=0.155500, batch loss=0.196298, epoch loss=4.280545 Batch=1199, step=10800, lr=0.155000, batch loss=0.156695, epoch loss=4.437240 Epoch=8, step=10800, lr=0.155000, epoch loss=4.437240 Batch=59, step=10860, lr=0.154750, batch loss=0.189377, epoch loss=0.189377 Batch=119, step=10920, lr=0.154500, batch loss=0.152841, epoch loss=0.342219 Batch=179, step=10980, lr=0.154250, batch loss=0.168886, epoch loss=0.511105 Batch=239, step=11040, lr=0.154000, batch loss=0.244770, epoch loss=0.755875 Batch=299, step=11100, lr=0.153750, batch loss=0.175296, epoch loss=0.931172 Batch=359, step=11160, lr=0.153500, batch loss=0.221843, epoch loss=1.153015 Batch=419, step=11220, lr=0.153250, batch loss=0.218947, epoch loss=1.371963 Batch=479, step=11280, lr=0.153000, batch loss=0.210596, epoch loss=1.582559 Batch=539, step=11340, lr=0.152750, batch loss=0.160107, epoch loss=1.742665 Batch=599, step=11400, lr=0.152500, batch loss=0.179533, epoch loss=1.922198 Batch=659, step=11460, lr=0.152250, batch loss=0.268393, epoch loss=2.190591 Batch=719, step=11520, lr=0.152000, batch loss=0.267711, epoch loss=2.458302 Batch=779, step=11580, lr=0.151750, batch loss=0.276312, epoch loss=2.734615 Batch=839, step=11640, lr=0.151500, batch loss=0.254213, epoch loss=2.988827 Batch=899, step=11700, lr=0.151250, batch loss=0.222756, epoch loss=3.211583 Batch=959, step=11760, lr=0.151250, batch loss=0.186006, epoch loss=3.397589 Batch=1019, step=11820, lr=0.150750, batch loss=0.280999, epoch loss=3.678588 Batch=1079, step=11880, lr=0.150500, batch loss=0.158448, epoch loss=3.837035 Batch=1139, step=11940, lr=0.150250, batch loss=0.190811, epoch loss=4.027846 Batch=1199, step=12000, lr=0.150000, batch loss=0.141981, epoch loss=4.169827 Epoch=9, step=12000, lr=0.150000, epoch loss=4.169827 Batch=59, step=12060, lr=0.149750, batch loss=0.165675, epoch loss=0.165675 Batch=119, step=12120, lr=0.149500, batch loss=0.137983, epoch loss=0.303658 Batch=179, step=12180, lr=0.149250, batch loss=0.153918, epoch loss=0.457576 Batch=239, step=12240, lr=0.149250, batch loss=0.223153, epoch loss=0.680729 Batch=299, step=12300, lr=0.149000, batch loss=0.147787, epoch loss=0.828516 Batch=359, step=12360, lr=0.148750, batch loss=0.198830, epoch loss=1.027347 Batch=419, step=12420, lr=0.148500, batch loss=0.203509, epoch loss=1.230856 Batch=479, step=12480, lr=0.148250, batch loss=0.182129, epoch loss=1.412985 Batch=539, step=12540, lr=0.147750, batch loss=0.146415, epoch loss=1.559400 Batch=599, step=12600, lr=0.147500, batch loss=0.153498, epoch loss=1.712898 Batch=659, step=12660, lr=0.147250, batch loss=0.231187, epoch loss=1.944085 Batch=719, step=12720, lr=0.147250, batch loss=0.241893, epoch loss=2.185978 Batch=779, step=12780, lr=0.146750, batch loss=0.258634, epoch loss=2.444612 Batch=839, step=12840, lr=0.146750, batch loss=0.229037, epoch loss=2.673650 Batch=899, step=12900, lr=0.146250, batch loss=0.192955, epoch loss=2.866605 Batch=959, step=12960, lr=0.146250, batch loss=0.171165, epoch loss=3.037770 Batch=1019, step=13020, lr=0.145750, batch loss=0.276257, epoch loss=3.314028 Batch=1079, step=13080, lr=0.145500, batch loss=0.124501, epoch loss=3.438528 Batch=1139, step=13140, lr=0.145250, batch loss=0.160512, epoch loss=3.599041 Batch=1199, step=13200, lr=0.145000, batch loss=0.122961, epoch loss=3.722002 Epoch=10, step=13200, lr=0.145000, epoch loss=3.722002 Batch=59, step=13260, lr=0.144750, batch loss=0.147328, epoch loss=0.147328 Batch=119, step=13320, lr=0.144500, batch loss=0.123719, epoch loss=0.271047 Batch=179, step=13380, lr=0.144250, batch loss=0.132259, epoch loss=0.403306 Batch=239, step=13440, lr=0.144250, batch loss=0.194425, epoch loss=0.597731 Batch=299, step=13500, lr=0.143750, batch loss=0.117688, epoch loss=0.715419 Batch=359, step=13560, lr=0.143500, batch loss=0.167483, epoch loss=0.882902 Batch=419, step=13620, lr=0.143500, batch loss=0.164446, epoch loss=1.047347 Batch=479, step=13680, lr=0.143000, batch loss=0.154531, epoch loss=1.201878 Batch=539, step=13740, lr=0.142750, batch loss=0.123036, epoch loss=1.324914 Batch=599, step=13800, lr=0.142500, batch loss=0.126765, epoch loss=1.451679 Batch=659, step=13860, lr=0.142250, batch loss=0.187248, epoch loss=1.638926 Batch=719, step=13920, lr=0.142250, batch loss=0.198756, epoch loss=1.837682 Batch=779, step=13980, lr=0.142000, batch loss=0.228213, epoch loss=2.065895 Batch=839, step=14040, lr=0.141500, batch loss=0.206620, epoch loss=2.272515 Batch=899, step=14100, lr=0.141250, batch loss=0.214788, epoch loss=2.487303 Batch=959, step=14160, lr=0.141000, batch loss=0.110848, epoch loss=2.598151 Batch=1019, step=14220, lr=0.140750, batch loss=0.199740, epoch loss=2.797891 Batch=1079, step=14280, lr=0.140750, batch loss=0.083151, epoch loss=2.881042 Batch=1139, step=14340, lr=0.140250, batch loss=0.134136, epoch loss=3.015178 Batch=1199, step=14400, lr=0.140000, batch loss=0.092579, epoch loss=3.107756 Epoch=11, step=14400, lr=0.140000, epoch loss=3.107756 Batch=59, step=14460, lr=0.139750, batch loss=0.108077, epoch loss=0.108077 Batch=119, step=14520, lr=0.139750, batch loss=0.093636, epoch loss=0.201712 Batch=179, step=14580, lr=0.139250, batch loss=0.102079, epoch loss=0.303791 Batch=239, step=14640, lr=0.139000, batch loss=0.150383, epoch loss=0.454174 Batch=299, step=14700, lr=0.138750, batch loss=0.084573, epoch loss=0.538747 Batch=359, step=14760, lr=0.138500, batch loss=0.131940, epoch loss=0.670687 Batch=419, step=14820, lr=0.138500, batch loss=0.147879, epoch loss=0.818566 Batch=479, step=14880, lr=0.138250, batch loss=0.105309, epoch loss=0.923875 Batch=539, step=14940, lr=0.137750, batch loss=0.090686, epoch loss=1.014561 Batch=599, step=15000, lr=0.137500, batch loss=0.091139, epoch loss=1.105700 Batch=659, step=15060, lr=0.137250, batch loss=0.134915, epoch loss=1.240615 Batch=719, step=15120, lr=0.137000, batch loss=0.128662, epoch loss=1.369276 Batch=779, step=15180, lr=0.136750, batch loss=0.137319, epoch loss=1.506596 Batch=839, step=15240, lr=0.136500, batch loss=0.161513, epoch loss=1.668109 Batch=899, step=15300, lr=0.136250, batch loss=0.227487, epoch loss=1.895595 Batch=959, step=15360, lr=0.136000, batch loss=0.062480, epoch loss=1.958075 Batch=1019, step=15420, lr=0.136000, batch loss=0.171842, epoch loss=2.129917 Batch=1079, step=15480, lr=0.135500, batch loss=0.051177, epoch loss=2.181095 Batch=1139, step=15540, lr=0.135250, batch loss=0.113924, epoch loss=2.295019 Batch=1199, step=15600, lr=0.135250, batch loss=0.063646, epoch loss=2.358665 Epoch=12, step=15600, lr=0.135250, epoch loss=2.358665 Batch=59, step=15660, lr=0.134750, batch loss=0.094746, epoch loss=0.094746 Batch=119, step=15720, lr=0.134500, batch loss=0.152456, epoch loss=0.247203 Batch=179, step=15780, lr=0.134250, batch loss=0.109206, epoch loss=0.356409 Batch=239, step=15840, lr=0.134250, batch loss=0.107581, epoch loss=0.463991 Batch=299, step=15900, lr=0.134000, batch loss=0.046973, epoch loss=0.510964 Batch=359, step=15960, lr=0.133500, batch loss=0.086677, epoch loss=0.597641 Batch=419, step=16020, lr=0.133250, batch loss=0.085874, epoch loss=0.683515 Batch=479, step=16080, lr=0.133000, batch loss=0.068947, epoch loss=0.752462 Batch=539, step=16140, lr=0.132750, batch loss=0.060970, epoch loss=0.813432 Batch=599, step=16200, lr=0.132500, batch loss=0.141371, epoch loss=0.954803 Batch=659, step=16260, lr=0.132500, batch loss=0.089557, epoch loss=1.044360 Batch=719, step=16320, lr=0.132000, batch loss=0.094340, epoch loss=1.138700 Batch=779, step=16380, lr=0.131750, batch loss=0.112340, epoch loss=1.251040 Batch=839, step=16440, lr=0.131500, batch loss=0.119861, epoch loss=1.370901 Batch=899, step=16500, lr=0.131250, batch loss=0.147983, epoch loss=1.518885 Batch=959, step=16560, lr=0.131000, batch loss=0.052091, epoch loss=1.570975 Batch=1019, step=16620, lr=0.130750, batch loss=0.135252, epoch loss=1.706228 Batch=1079, step=16680, lr=0.130750, batch loss=0.021411, epoch loss=1.727639 Batch=1139, step=16740, lr=0.130250, batch loss=0.046263, epoch loss=1.773901 Batch=1199, step=16800, lr=0.130000, batch loss=0.029554, epoch loss=1.803455 Epoch=13, step=16800, lr=0.130000, epoch loss=1.803455 Batch=59, step=16860, lr=0.130000, batch loss=0.052910, epoch loss=0.052910 Batch=119, step=16920, lr=0.129750, batch loss=0.101723, epoch loss=0.154633 Batch=179, step=16980, lr=0.129250, batch loss=0.071483, epoch loss=0.226116 Batch=239, step=17040, lr=0.129000, batch loss=0.066094, epoch loss=0.292211 Batch=299, step=17100, lr=0.128750, batch loss=0.021128, epoch loss=0.313339 Batch=359, step=17160, lr=0.128500, batch loss=0.050999, epoch loss=0.364338 Batch=419, step=17220, lr=0.128250, batch loss=0.052584, epoch loss=0.416922 Batch=479, step=17280, lr=0.128000, batch loss=0.031832, epoch loss=0.448754 Batch=539, step=17340, lr=0.127750, batch loss=0.058296, epoch loss=0.507050 Batch=599, step=17400, lr=0.127750, batch loss=0.036379, epoch loss=0.543429 Batch=659, step=17460, lr=0.127250, batch loss=0.051062, epoch loss=0.594491 Batch=719, step=17520, lr=0.127250, batch loss=0.064116, epoch loss=0.658607 Batch=779, step=17580, lr=0.126750, batch loss=0.133834, epoch loss=0.792441 Batch=839, step=17640, lr=0.126500, batch loss=0.112525, epoch loss=0.904966 Batch=899, step=17700, lr=0.126250, batch loss=0.138281, epoch loss=1.043247 Batch=959, step=17760, lr=0.126000, batch loss=0.022211, epoch loss=1.065458 Batch=1019, step=17820, lr=0.126000, batch loss=0.041669, epoch loss=1.107127 Batch=1079, step=17880, lr=0.125500, batch loss=0.017374, epoch loss=1.124501 Batch=1139, step=17940, lr=0.125250, batch loss=0.044606, epoch loss=1.169107 Batch=1199, step=18000, lr=0.125000, batch loss=0.017518, epoch loss=1.186625 Epoch=14, step=18000, lr=0.125000, epoch loss=1.186625 Batch=59, step=18060, lr=0.124750, batch loss=0.016703, epoch loss=0.016703 Batch=119, step=18120, lr=0.124500, batch loss=0.027866, epoch loss=0.044569 Batch=179, step=18180, lr=0.124250, batch loss=0.031689, epoch loss=0.076258 Batch=239, step=18240, lr=0.124250, batch loss=0.038968, epoch loss=0.115226 Batch=299, step=18300, lr=0.124000, batch loss=0.011402, epoch loss=0.126628 Batch=359, step=18360, lr=0.123750, batch loss=0.028285, epoch loss=0.154913 Batch=419, step=18420, lr=0.123500, batch loss=0.033494, epoch loss=0.188407 Batch=479, step=18480, lr=0.123250, batch loss=0.024304, epoch loss=0.212711 Batch=539, step=18540, lr=0.123000, batch loss=0.042305, epoch loss=0.255016 Batch=599, step=18600, lr=0.122750, batch loss=0.026688, epoch loss=0.281703 Batch=659, step=18660, lr=0.122500, batch loss=0.035205, epoch loss=0.316909 Batch=719, step=18720, lr=0.122250, batch loss=0.039015, epoch loss=0.355924 Batch=779, step=18780, lr=0.122000, batch loss=0.125535, epoch loss=0.481459 Batch=839, step=18840, lr=0.121500, batch loss=0.060624, epoch loss=0.542083 Batch=899, step=18900, lr=0.121500, batch loss=0.062173, epoch loss=0.604256 Batch=959, step=18960, lr=0.121250, batch loss=0.014488, epoch loss=0.618744 Batch=1019, step=19020, lr=0.120750, batch loss=0.019110, epoch loss=0.637854 Batch=1079, step=19080, lr=0.120750, batch loss=0.014310, epoch loss=0.652164 Batch=1139, step=19140, lr=0.120250, batch loss=0.029291, epoch loss=0.681456 Batch=1199, step=19200, lr=0.120000, batch loss=0.012277, epoch loss=0.693733 Epoch=15, step=19200, lr=0.120000, epoch loss=0.693733 Batch=59, step=19260, lr=0.119750, batch loss=0.010554, epoch loss=0.010554 Batch=119, step=19320, lr=0.119750, batch loss=0.032024, epoch loss=0.042578 Batch=179, step=19380, lr=0.119250, batch loss=0.085302, epoch loss=0.127880 Batch=239, step=19440, lr=0.119000, batch loss=0.036372, epoch loss=0.164252 Batch=299, step=19500, lr=0.118750, batch loss=0.009467, epoch loss=0.173719 Batch=359, step=19560, lr=0.118750, batch loss=0.027981, epoch loss=0.201699 Batch=419, step=19620, lr=0.118500, batch loss=0.022475, epoch loss=0.224174 Batch=479, step=19680, lr=0.118250, batch loss=0.007479, epoch loss=0.231653 Batch=539, step=19740, lr=0.118000, batch loss=0.021231, epoch loss=0.252884 Batch=599, step=19800, lr=0.117500, batch loss=0.024102, epoch loss=0.276986 Batch=659, step=19860, lr=0.117250, batch loss=0.021061, epoch loss=0.298047 Batch=719, step=19920, lr=0.117000, batch loss=0.056439, epoch loss=0.354486 Batch=779, step=19980, lr=0.116750, batch loss=0.076257, epoch loss=0.430743 Batch=839, step=20040, lr=0.116500, batch loss=0.033783, epoch loss=0.464525 Batch=899, step=20100, lr=0.116500, batch loss=0.030292, epoch loss=0.494817 Batch=959, step=20160, lr=0.116250, batch loss=0.019502, epoch loss=0.514320 Batch=1019, step=20220, lr=0.116000, batch loss=0.025552, epoch loss=0.539871 Batch=1079, step=20280, lr=0.115500, batch loss=0.004091, epoch loss=0.543962 Batch=1139, step=20340, lr=0.115250, batch loss=0.015602, epoch loss=0.559565 Batch=1199, step=20400, lr=0.115000, batch loss=0.006620, epoch loss=0.566185 Epoch=16, step=20400, lr=0.115000, epoch loss=0.566185 Batch=59, step=20460, lr=0.115000, batch loss=0.003485, epoch loss=0.003485 Batch=119, step=20520, lr=0.114750, batch loss=0.009661, epoch loss=0.013147 Batch=179, step=20580, lr=0.114250, batch loss=0.024426, epoch loss=0.037573 Batch=239, step=20640, lr=0.114000, batch loss=0.016541, epoch loss=0.054114 Batch=299, step=20700, lr=0.114000, batch loss=0.006126, epoch loss=0.060240 Batch=359, step=20760, lr=0.113750, batch loss=0.014625, epoch loss=0.074865 Batch=419, step=20820, lr=0.113500, batch loss=0.015285, epoch loss=0.090150 Batch=479, step=20880, lr=0.113250, batch loss=0.004205, epoch loss=0.094356 Batch=539, step=20940, lr=0.113000, batch loss=0.017155, epoch loss=0.111510 Batch=599, step=21000, lr=0.112750, batch loss=0.020085, epoch loss=0.131595 Batch=659, step=21060, lr=0.112500, batch loss=0.015588, epoch loss=0.147183 Batch=719, step=21120, lr=0.112250, batch loss=0.037189, epoch loss=0.184372 Batch=779, step=21180, lr=0.111750, batch loss=0.068927, epoch loss=0.253299 Batch=839, step=21240, lr=0.111500, batch loss=0.026557, epoch loss=0.279856 Batch=899, step=21300, lr=0.111500, batch loss=0.027501, epoch loss=0.307357 Batch=959, step=21360, lr=0.111250, batch loss=0.010695, epoch loss=0.318052 Batch=1019, step=21420, lr=0.110750, batch loss=0.011525, epoch loss=0.329577 Batch=1079, step=21480, lr=0.110500, batch loss=0.001756, epoch loss=0.331333 Batch=1139, step=21540, lr=0.110250, batch loss=0.012961, epoch loss=0.344294 Batch=1199, step=21600, lr=0.110000, batch loss=0.004869, epoch loss=0.349164 Epoch=17, step=21600, lr=0.110000, epoch loss=0.349164 Batch=59, step=21660, lr=0.110000, batch loss=0.002235, epoch loss=0.002235 Batch=119, step=21720, lr=0.109750, batch loss=0.007915, epoch loss=0.010150 Batch=179, step=21780, lr=0.109500, batch loss=0.016698, epoch loss=0.026849 Batch=239, step=21840, lr=0.109250, batch loss=0.013831, epoch loss=0.040680 Batch=299, step=21900, lr=0.109000, batch loss=0.003905, epoch loss=0.044585 Batch=359, step=21960, lr=0.108750, batch loss=0.012219, epoch loss=0.056804 Batch=419, step=22020, lr=0.108250, batch loss=0.012010, epoch loss=0.068814 Batch=479, step=22080, lr=0.108000, batch loss=0.003004, epoch loss=0.071818 Batch=539, step=22140, lr=0.107750, batch loss=0.019388, epoch loss=0.091206 Batch=599, step=22200, lr=0.107750, batch loss=0.018673, epoch loss=0.109879 Batch=659, step=22260, lr=0.107500, batch loss=0.012780, epoch loss=0.122659 Batch=719, step=22320, lr=0.107000, batch loss=0.023138, epoch loss=0.145796 Batch=779, step=22380, lr=0.107000, batch loss=0.033534, epoch loss=0.179331 Batch=839, step=22440, lr=0.106500, batch loss=0.029456, epoch loss=0.208787 Batch=899, step=22500, lr=0.106250, batch loss=0.024088, epoch loss=0.232874 Batch=959, step=22560, lr=0.106250, batch loss=0.009382, epoch loss=0.242257 Batch=1019, step=22620, lr=0.106000, batch loss=0.008104, epoch loss=0.250360 Batch=1079, step=22680, lr=0.105500, batch loss=0.002369, epoch loss=0.252729 Batch=1139, step=22740, lr=0.105500, batch loss=0.011599, epoch loss=0.264328 Batch=1199, step=22800, lr=0.105000, batch loss=0.005152, epoch loss=0.269479 Epoch=18, step=22800, lr=0.105000, epoch loss=0.269479 Batch=59, step=22860, lr=0.105000, batch loss=0.002877, epoch loss=0.002877 Batch=119, step=22920, lr=0.104750, batch loss=0.005300, epoch loss=0.008177 Batch=179, step=22980, lr=0.104500, batch loss=0.012712, epoch loss=0.020889 Batch=239, step=23040, lr=0.104250, batch loss=0.008983, epoch loss=0.029872 Batch=299, step=23100, lr=0.103750, batch loss=0.003968, epoch loss=0.033841 Batch=359, step=23160, lr=0.103500, batch loss=0.012686, epoch loss=0.046527 Batch=419, step=23220, lr=0.103250, batch loss=0.011272, epoch loss=0.057799 Batch=479, step=23280, lr=0.103000, batch loss=0.003469, epoch loss=0.061268 Batch=539, step=23340, lr=0.102750, batch loss=0.015701, epoch loss=0.076969 Batch=599, step=23400, lr=0.102500, batch loss=0.013991, epoch loss=0.090960 Batch=659, step=23460, lr=0.102500, batch loss=0.012675, epoch loss=0.103635 Batch=719, step=23520, lr=0.102250, batch loss=0.018928, epoch loss=0.122562 Batch=779, step=23580, lr=0.101750, batch loss=0.020500, epoch loss=0.143062 Batch=839, step=23640, lr=0.101750, batch loss=0.022961, epoch loss=0.166023 Batch=899, step=23700, lr=0.101500, batch loss=0.025939, epoch loss=0.191962 Batch=959, step=23760, lr=0.101250, batch loss=0.008221, epoch loss=0.200183 Batch=1019, step=23820, lr=0.101000, batch loss=0.007848, epoch loss=0.208031 Batch=1079, step=23880, lr=0.100750, batch loss=0.001144, epoch loss=0.209176 Batch=1139, step=23940, lr=0.100500, batch loss=0.008654, epoch loss=0.217830 Batch=1199, step=24000, lr=0.100000, batch loss=0.004520, epoch loss=0.222350 Epoch=19, step=24000, lr=0.100000, epoch loss=0.222350 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%..............********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-21 20:31.54: Job failed: Failed: Build failed