2025-05-21 20:01.19: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (edd537ac0754eda373e727b1fa5e1c23fbf45de0) (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 edd537ac 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 20:01.19: 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 20:01.19: 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 20:01.19: Waiting for resource in pool OCluster 2025-05-21 20:01.19: Waiting for worker… 2025-05-21 20:01.27: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at edd537ac Tiny cleanup: no more advance_captured_logs (from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992) 2025-05-21 20:01.28 ---> 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 20:01.28 ---> using "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 20:01.28 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121" /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 20:02.16 ---> saved as "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb" /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 20:02.17 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 20:02.17 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b" /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 20:02.58 ---> saved as "47e222691df9f48e96b82354930e643d109158150dc7c77fac9953e2867a0de2" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 20:02.58 ---> saved as "e7730057529b4754024c66acc0d1018233e8d2f2daf11327df013acb81dd02d8" /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 20:03.01 ---> saved as "063b3fe81118ec0277acdaec22f1eecc2dd6a81fe61f9d9f1889e8d0cbd0aebf" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 20:03.01 ---> saved as "33e409d72e19a2f51ac75adada9ccd6f1a25cd1f594ac1fdee973b79ca82e452" /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 20:03.22 ---> saved as "56f1fb25cdf08ccfa843e8cf68715585265b4862dc78f3ea7237d6f2aabdd617" /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 20:05.21 ---> saved as "1de4cf5d4fa2045ccadabf4d63be5b5e21a9617c39609bd14197216061357a4d" /src: (copy (src .) (dst /src)) 2025-05-21 20:05.24 ---> saved as "1682615c0172ba8b9ae2e1d2fe79aee27bdbd5873c67cfbceb0ab68696621e19" /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 '' -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 '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 '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=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167250, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309255, epoch loss=2.883484 Batch=779, step=7980, lr=0.167000, batch loss=0.329984, epoch loss=3.213468 Batch=839, step=8040, lr=0.166750, batch loss=0.292403, epoch loss=3.505871 Batch=899, step=8100, lr=0.166500, batch loss=0.261808, epoch loss=3.767679 Batch=959, step=8160, lr=0.166250, batch loss=0.193236, epoch loss=3.960915 Batch=1019, step=8220, lr=0.166000, batch loss=0.314114, epoch loss=4.275029 Batch=1079, step=8280, lr=0.165500, batch loss=0.172029, epoch loss=4.447058 Batch=1139, step=8340, lr=0.165250, batch loss=0.209709, epoch loss=4.656766 Batch=1199, step=8400, lr=0.165000, batch loss=0.178262, epoch loss=4.835028 Epoch=6, step=8400, lr=0.165000, epoch loss=4.835028 Batch=59, step=8460, lr=0.165000, batch loss=0.229693, epoch loss=0.229693 Batch=119, step=8520, lr=0.164750, batch loss=0.175038, epoch loss=0.404730 Batch=179, step=8580, lr=0.164500, batch loss=0.187821, epoch loss=0.592552 Batch=239, step=8640, lr=0.164250, batch loss=0.278193, epoch loss=0.870744 Batch=299, step=8700, lr=0.164000, batch loss=0.192026, epoch loss=1.062770 Batch=359, step=8760, lr=0.163750, batch loss=0.248611, epoch loss=1.311381 Batch=419, step=8820, lr=0.163500, batch loss=0.245625, epoch loss=1.557007 Batch=479, step=8880, lr=0.163250, batch loss=0.228575, epoch loss=1.785582 Batch=539, step=8940, lr=0.163000, batch loss=0.178163, epoch loss=1.963745 Batch=599, step=9000, lr=0.162750, batch loss=0.217366, epoch loss=2.181111 Batch=659, step=9060, lr=0.162500, batch loss=0.294832, epoch loss=2.475943 Batch=719, step=9120, lr=0.162250, batch loss=0.296406, epoch loss=2.772349 Batch=779, step=9180, lr=0.162000, batch loss=0.316756, epoch loss=3.089105 Batch=839, step=9240, lr=0.161750, batch loss=0.287225, epoch loss=3.376330 Batch=899, step=9300, lr=0.161500, batch loss=0.251081, epoch loss=3.627411 Batch=959, step=9360, lr=0.161250, batch loss=0.190494, epoch loss=3.817905 Batch=1019, step=9420, lr=0.161000, batch loss=0.311785, epoch loss=4.129690 Batch=1079, step=9480, lr=0.160750, batch loss=0.191548, epoch loss=4.321238 Batch=1139, step=9540, lr=0.160500, batch loss=0.215805, epoch loss=4.537043 Batch=1199, step=9600, lr=0.160250, batch loss=0.165628, epoch loss=4.702671 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702671 Batch=59, step=9660, lr=0.159750, batch loss=0.197194, epoch loss=0.197194 Batch=119, step=9720, lr=0.159750, batch loss=0.165425, epoch loss=0.362620 Batch=179, step=9780, lr=0.159500, batch loss=0.179282, epoch loss=0.541902 Batch=239, step=9840, lr=0.159250, batch loss=0.263870, epoch loss=0.805771 Batch=299, step=9900, lr=0.159000, batch loss=0.182120, epoch loss=0.987892 Batch=359, step=9960, lr=0.158750, batch loss=0.240909, epoch loss=1.228801 Batch=419, step=10020, lr=0.158500, batch loss=0.232938, epoch loss=1.461739 Batch=479, step=10080, lr=0.158250, batch loss=0.213256, epoch loss=1.674995 Batch=539, step=10140, lr=0.158000, batch loss=0.170518, epoch loss=1.845513 Batch=599, step=10200, lr=0.157750, batch loss=0.200301, epoch loss=2.045813 Batch=659, step=10260, lr=0.157500, batch loss=0.283026, epoch loss=2.328839 Batch=719, step=10320, lr=0.157250, batch loss=0.279717, epoch loss=2.608556 Batch=779, step=10380, lr=0.157000, batch loss=0.300704, epoch loss=2.909260 Batch=839, step=10440, lr=0.156750, batch loss=0.271034, epoch loss=3.180293 Batch=899, step=10500, lr=0.156500, batch loss=0.239841, epoch loss=3.420134 Batch=959, step=10560, lr=0.156250, batch loss=0.197834, epoch loss=3.617968 Batch=1019, step=10620, lr=0.156000, batch loss=0.281903, epoch loss=3.899871 Batch=1079, step=10680, lr=0.155750, batch loss=0.172614, epoch loss=4.072485 Batch=1139, step=10740, lr=0.155500, batch loss=0.201625, epoch loss=4.274110 Batch=1199, step=10800, lr=0.155250, batch loss=0.153796, epoch loss=4.427906 Epoch=8, step=10800, lr=0.155250, epoch loss=4.427906 Batch=59, step=10860, lr=0.155000, batch loss=0.175880, epoch loss=0.175880 Batch=119, step=10920, lr=0.154750, batch loss=0.143460, epoch loss=0.319340 Batch=179, step=10980, lr=0.154500, batch loss=0.165690, epoch loss=0.485030 Batch=239, step=11040, lr=0.154250, batch loss=0.240877, epoch loss=0.725907 Batch=299, step=11100, lr=0.154000, batch loss=0.172119, epoch loss=0.898027 Batch=359, step=11160, lr=0.153750, batch loss=0.223323, epoch loss=1.121349 Batch=419, step=11220, lr=0.153500, batch loss=0.229792, epoch loss=1.351142 Batch=479, step=11280, lr=0.153250, batch loss=0.202987, epoch loss=1.554128 Batch=539, step=11340, lr=0.153000, batch loss=0.160930, epoch loss=1.715058 Batch=599, step=11400, lr=0.152750, batch loss=0.185036, epoch loss=1.900094 Batch=659, step=11460, lr=0.152500, batch loss=0.263669, epoch loss=2.163762 Batch=719, step=11520, lr=0.152250, batch loss=0.249218, epoch loss=2.412980 Batch=779, step=11580, lr=0.152000, batch loss=0.272501, epoch loss=2.685482 Batch=839, step=11640, lr=0.151750, batch loss=0.253635, epoch loss=2.939117 Batch=899, step=11700, lr=0.151500, batch loss=0.218273, epoch loss=3.157390 Batch=959, step=11760, lr=0.151250, batch loss=0.181277, epoch loss=3.338666 Batch=1019, step=11820, lr=0.151000, batch loss=0.255828, epoch loss=3.594494 Batch=1079, step=11880, lr=0.150750, batch loss=0.148754, epoch loss=3.743248 Batch=1139, step=11940, lr=0.150500, batch loss=0.180961, epoch loss=3.924209 Batch=1199, step=12000, lr=0.150250, batch loss=0.139205, epoch loss=4.063414 Epoch=9, step=12000, lr=0.150250, epoch loss=4.063414 Batch=59, step=12060, lr=0.150000, batch loss=0.160869, epoch loss=0.160869 Batch=119, step=12120, lr=0.149750, batch loss=0.133394, epoch loss=0.294264 Batch=179, step=12180, lr=0.149500, batch loss=0.150159, epoch loss=0.444422 Batch=239, step=12240, lr=0.149250, batch loss=0.220133, epoch loss=0.664555 Batch=299, step=12300, lr=0.149000, batch loss=0.138153, epoch loss=0.802709 Batch=359, step=12360, lr=0.148750, batch loss=0.198957, epoch loss=1.001665 Batch=419, step=12420, lr=0.148500, batch loss=0.205792, epoch loss=1.207457 Batch=479, step=12480, lr=0.148250, batch loss=0.178785, epoch loss=1.386242 Batch=539, step=12540, lr=0.148000, batch loss=0.142251, epoch loss=1.528493 Batch=599, step=12600, lr=0.147750, batch loss=0.149976, epoch loss=1.678469 Batch=659, step=12660, lr=0.147250, batch loss=0.224482, epoch loss=1.902951 Batch=719, step=12720, lr=0.147250, batch loss=0.232424, epoch loss=2.135375 Batch=779, step=12780, lr=0.147000, batch loss=0.255941, epoch loss=2.391316 Batch=839, step=12840, lr=0.146750, batch loss=0.236069, epoch loss=2.627385 Batch=899, step=12900, lr=0.146500, batch loss=0.228736, epoch loss=2.856121 Batch=959, step=12960, lr=0.146250, batch loss=0.141693, epoch loss=2.997814 Batch=1019, step=13020, lr=0.146000, batch loss=0.233990, epoch loss=3.231804 Batch=1079, step=13080, lr=0.145750, batch loss=0.108542, epoch loss=3.340346 Batch=1139, step=13140, lr=0.145250, batch loss=0.148527, epoch loss=3.488873 Batch=1199, step=13200, lr=0.145250, batch loss=0.116314, epoch loss=3.605186 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605186 Batch=59, step=13260, lr=0.145000, batch loss=0.140042, epoch loss=0.140042 Batch=119, step=13320, lr=0.144750, batch loss=0.121802, epoch loss=0.261844 Batch=179, step=13380, lr=0.144500, batch loss=0.128691, epoch loss=0.390535 Batch=239, step=13440, lr=0.144000, batch loss=0.192799, epoch loss=0.583334 Batch=299, step=13500, lr=0.144000, batch loss=0.116498, epoch loss=0.699832 Batch=359, step=13560, lr=0.143750, batch loss=0.161111, epoch loss=0.860943 Batch=419, step=13620, lr=0.143500, batch loss=0.160249, epoch loss=1.021192 Batch=479, step=13680, lr=0.143250, batch loss=0.147685, epoch loss=1.168877 Batch=539, step=13740, lr=0.143000, batch loss=0.118010, epoch loss=1.286886 Batch=599, step=13800, lr=0.142750, batch loss=0.119826, epoch loss=1.406712 Batch=659, step=13860, lr=0.142500, batch loss=0.176068, epoch loss=1.582781 Batch=719, step=13920, lr=0.142250, batch loss=0.172512, epoch loss=1.755293 Batch=779, step=13980, lr=0.142000, batch loss=0.187532, epoch loss=1.942825 Batch=839, step=14040, lr=0.141750, batch loss=0.190690, epoch loss=2.133515 Batch=899, step=14100, lr=0.141500, batch loss=0.196920, epoch loss=2.330435 Batch=959, step=14160, lr=0.141250, batch loss=0.123166, epoch loss=2.453600 Batch=1019, step=14220, lr=0.141000, batch loss=0.213221, epoch loss=2.666821 Batch=1079, step=14280, lr=0.140750, batch loss=0.076577, epoch loss=2.743398 Batch=1139, step=14340, lr=0.140500, batch loss=0.115531, epoch loss=2.858929 Batch=1199, step=14400, lr=0.140250, batch loss=0.084964, epoch loss=2.943892 Epoch=11, step=14400, lr=0.140250, epoch loss=2.943892 Batch=59, step=14460, lr=0.140000, batch loss=0.105710, epoch loss=0.105710 Batch=119, step=14520, lr=0.139750, batch loss=0.105217, epoch loss=0.210926 Batch=179, step=14580, lr=0.139500, batch loss=0.099827, epoch loss=0.310754 Batch=239, step=14640, lr=0.139000, batch loss=0.140941, epoch loss=0.451695 Batch=299, step=14700, lr=0.139000, batch loss=0.074637, epoch loss=0.526331 Batch=359, step=14760, lr=0.138750, batch loss=0.121035, epoch loss=0.647367 Batch=419, step=14820, lr=0.138500, batch loss=0.131850, epoch loss=0.779217 Batch=479, step=14880, lr=0.138250, batch loss=0.098615, epoch loss=0.877832 Batch=539, step=14940, lr=0.138000, batch loss=0.102013, epoch loss=0.979845 Batch=599, step=15000, lr=0.137750, batch loss=0.083541, epoch loss=1.063386 Batch=659, step=15060, lr=0.137500, batch loss=0.135081, epoch loss=1.198467 Batch=719, step=15120, lr=0.137250, batch loss=0.171149, epoch loss=1.369617 Batch=779, step=15180, lr=0.137000, batch loss=0.334699, epoch loss=1.704315 Batch=839, step=15240, lr=0.136750, batch loss=0.133077, epoch loss=1.837392 Batch=899, step=15300, lr=0.136500, batch loss=0.110518, epoch loss=1.947911 Batch=959, step=15360, lr=0.136250, batch loss=0.099871, epoch loss=2.047781 Batch=1019, step=15420, lr=0.136000, batch loss=0.164816, epoch loss=2.212597 Batch=1079, step=15480, lr=0.135750, batch loss=0.043644, epoch loss=2.256241 Batch=1139, step=15540, lr=0.135500, batch loss=0.099489, epoch loss=2.355730 Batch=1199, step=15600, lr=0.135250, batch loss=0.062978, epoch loss=2.418707 Epoch=12, step=15600, lr=0.135250, epoch loss=2.418707 Batch=59, step=15660, lr=0.135000, batch loss=0.076234, epoch loss=0.076234 Batch=119, step=15720, lr=0.134750, batch loss=0.120616, epoch loss=0.196851 Batch=179, step=15780, lr=0.134500, batch loss=0.092826, epoch loss=0.289677 Batch=239, step=15840, lr=0.134250, batch loss=0.094819, epoch loss=0.384496 Batch=299, step=15900, lr=0.134000, batch loss=0.037624, epoch loss=0.422120 Batch=359, step=15960, lr=0.133750, batch loss=0.083132, epoch loss=0.505252 Batch=419, step=16020, lr=0.133500, batch loss=0.079343, epoch loss=0.584595 Batch=479, step=16080, lr=0.133250, batch loss=0.054233, epoch loss=0.638827 Batch=539, step=16140, lr=0.133000, batch loss=0.078011, epoch loss=0.716839 Batch=599, step=16200, lr=0.132750, batch loss=0.174502, epoch loss=0.891340 Batch=659, step=16260, lr=0.132500, batch loss=0.096013, epoch loss=0.987353 Batch=719, step=16320, lr=0.132250, batch loss=0.125720, epoch loss=1.113073 Batch=779, step=16380, lr=0.132000, batch loss=0.285650, epoch loss=1.398723 Batch=839, step=16440, lr=0.131750, batch loss=0.093927, epoch loss=1.492650 Batch=899, step=16500, lr=0.131500, batch loss=0.081843, epoch loss=1.574493 Batch=959, step=16560, lr=0.131250, batch loss=0.031563, epoch loss=1.606056 Batch=1019, step=16620, lr=0.131000, batch loss=0.064186, epoch loss=1.670243 Batch=1079, step=16680, lr=0.130750, batch loss=0.049647, epoch loss=1.719890 Batch=1139, step=16740, lr=0.130500, batch loss=0.082916, epoch loss=1.802806 Batch=1199, step=16800, lr=0.130250, batch loss=0.037561, epoch loss=1.840367 Epoch=13, step=16800, lr=0.130250, epoch loss=1.840367 Batch=59, step=16860, lr=0.130000, batch loss=0.033644, epoch loss=0.033644 Batch=119, step=16920, lr=0.129750, batch loss=0.037312, epoch loss=0.070956 Batch=179, step=16980, lr=0.129500, batch loss=0.043264, epoch loss=0.114220 Batch=239, step=17040, lr=0.129250, batch loss=0.059678, epoch loss=0.173899 Batch=299, step=17100, lr=0.129000, batch loss=0.024783, epoch loss=0.198682 Batch=359, step=17160, lr=0.128750, batch loss=0.053060, epoch loss=0.251742 Batch=419, step=17220, lr=0.128500, batch loss=0.087362, epoch loss=0.339104 Batch=479, step=17280, lr=0.128250, batch loss=0.024763, epoch loss=0.363867 Batch=539, step=17340, lr=0.128000, batch loss=0.026111, epoch loss=0.389978 Batch=599, step=17400, lr=0.127750, batch loss=0.041057, epoch loss=0.431035 Batch=659, step=17460, lr=0.127500, batch loss=0.053092, epoch loss=0.484127 Batch=719, step=17520, lr=0.127250, batch loss=0.054872, epoch loss=0.538999 Batch=779, step=17580, lr=0.127000, batch loss=0.066733, epoch loss=0.605732 Batch=839, step=17640, lr=0.126750, batch loss=0.097852, epoch loss=0.703584 Batch=899, step=17700, lr=0.126500, batch loss=0.049099, epoch loss=0.752683 Batch=959, step=17760, lr=0.126250, batch loss=0.020208, epoch loss=0.772891 Batch=1019, step=17820, lr=0.126000, batch loss=0.047161, epoch loss=0.820052 Batch=1079, step=17880, lr=0.125750, batch loss=0.037503, epoch loss=0.857556 Batch=1139, step=17940, lr=0.125500, batch loss=0.073437, epoch loss=0.930992 Batch=1199, step=18000, lr=0.125250, batch loss=0.023316, epoch loss=0.954309 Epoch=14, step=18000, lr=0.125250, epoch loss=0.954309 Batch=59, step=18060, lr=0.125000, batch loss=0.015771, epoch loss=0.015771 Batch=119, step=18120, lr=0.124750, batch loss=0.018759, epoch loss=0.034530 Batch=179, step=18180, lr=0.124500, batch loss=0.029505, epoch loss=0.064035 Batch=239, step=18240, lr=0.124250, batch loss=0.037437, epoch loss=0.101472 Batch=299, step=18300, lr=0.124000, batch loss=0.015644, epoch loss=0.117116 Batch=359, step=18360, lr=0.123750, batch loss=0.024687, epoch loss=0.141803 Batch=419, step=18420, lr=0.123500, batch loss=0.031412, epoch loss=0.173216 Batch=479, step=18480, lr=0.123250, batch loss=0.016027, epoch loss=0.189243 Batch=539, step=18540, lr=0.123000, batch loss=0.020422, epoch loss=0.209665 Batch=599, step=18600, lr=0.122750, batch loss=0.026373, epoch loss=0.236038 Batch=659, step=18660, lr=0.122500, batch loss=0.025047, epoch loss=0.261085 Batch=719, step=18720, lr=0.122250, batch loss=0.029680, epoch loss=0.290765 Batch=779, step=18780, lr=0.122000, batch loss=0.069051, epoch loss=0.359817 Batch=839, step=18840, lr=0.121750, batch loss=0.133660, epoch loss=0.493477 Batch=899, step=18900, lr=0.121500, batch loss=0.035934, epoch loss=0.529411 Batch=959, step=18960, lr=0.121250, batch loss=0.014641, epoch loss=0.544052 Batch=1019, step=19020, lr=0.121000, batch loss=0.022608, epoch loss=0.566660 Batch=1079, step=19080, lr=0.120750, batch loss=0.008055, epoch loss=0.574715 Batch=1139, step=19140, lr=0.120500, batch loss=0.024079, epoch loss=0.598794 Batch=1199, step=19200, lr=0.120250, batch loss=0.010699, epoch loss=0.609493 Epoch=15, step=19200, lr=0.120250, epoch loss=0.609493 Batch=59, step=19260, lr=0.120000, batch loss=0.005553, epoch loss=0.005553 Batch=119, step=19320, lr=0.119750, batch loss=0.015275, epoch loss=0.020828 Batch=179, step=19380, lr=0.119500, batch loss=0.039432, epoch loss=0.060260 Batch=239, step=19440, lr=0.119250, batch loss=0.023627, epoch loss=0.083887 Batch=299, step=19500, lr=0.119000, batch loss=0.006218, epoch loss=0.090106 Batch=359, step=19560, lr=0.118750, batch loss=0.016619, epoch loss=0.106725 Batch=419, step=19620, lr=0.118500, batch loss=0.019878, epoch loss=0.126602 Batch=479, step=19680, lr=0.118250, batch loss=0.006750, epoch loss=0.133353 Batch=539, step=19740, lr=0.117750, batch loss=0.016933, epoch loss=0.150285 Batch=599, step=19800, lr=0.117750, batch loss=0.021027, epoch loss=0.171313 Batch=659, step=19860, lr=0.117500, batch loss=0.017942, epoch loss=0.189255 Batch=719, step=19920, lr=0.117250, batch loss=0.027848, epoch loss=0.217102 Batch=779, step=19980, lr=0.117000, batch loss=0.067274, epoch loss=0.284376 Batch=839, step=20040, lr=0.116750, batch loss=0.033291, epoch loss=0.317667 Batch=899, step=20100, lr=0.116500, batch loss=0.034142, epoch loss=0.351809 Batch=959, step=20160, lr=0.116250, batch loss=0.015840, epoch loss=0.367650 Batch=1019, step=20220, lr=0.116000, batch loss=0.017899, epoch loss=0.385549 Batch=1079, step=20280, lr=0.115750, batch loss=0.003222, epoch loss=0.388771 Batch=1139, step=20340, lr=0.115500, batch loss=0.014799, epoch loss=0.403570 Batch=1199, step=20400, lr=0.115250, batch loss=0.006019, epoch loss=0.409589 Epoch=16, step=20400, lr=0.115250, epoch loss=0.409589 Batch=59, step=20460, lr=0.115000, batch loss=0.002945, epoch loss=0.002945 Batch=119, step=20520, lr=0.114750, batch loss=0.010726, epoch loss=0.013670 Batch=179, step=20580, lr=0.114500, batch loss=0.025990, epoch loss=0.039661 Batch=239, step=20640, lr=0.114250, batch loss=0.015203, epoch loss=0.054864 Batch=299, step=20700, lr=0.114000, batch loss=0.003052, epoch loss=0.057916 Batch=359, step=20760, lr=0.113750, batch loss=0.013587, epoch loss=0.071503 Batch=419, step=20820, lr=0.113500, batch loss=0.014967, epoch loss=0.086470 Batch=479, step=20880, lr=0.113250, batch loss=0.004669, epoch loss=0.091139 Batch=539, step=20940, lr=0.113000, batch loss=0.015630, epoch loss=0.106768 Batch=599, step=21000, lr=0.112750, batch loss=0.019070, epoch loss=0.125838 Batch=659, step=21060, lr=0.112500, batch loss=0.014016, epoch loss=0.139855 Batch=719, step=21120, lr=0.112250, batch loss=0.047684, epoch loss=0.187539 Batch=779, step=21180, lr=0.112000, batch loss=0.069471, epoch loss=0.257010 Batch=839, step=21240, lr=0.111750, batch loss=0.025746, epoch loss=0.282756 Batch=899, step=21300, lr=0.111500, batch loss=0.029855, epoch loss=0.312611 Batch=959, step=21360, lr=0.111250, batch loss=0.009781, epoch loss=0.322393 Batch=1019, step=21420, lr=0.111000, batch loss=0.011151, epoch loss=0.333544 Batch=1079, step=21480, lr=0.110750, batch loss=0.001453, epoch loss=0.334997 Batch=1139, step=21540, lr=0.110500, batch loss=0.012838, epoch loss=0.347834 Batch=1199, step=21600, lr=0.110250, batch loss=0.005245, epoch loss=0.353079 Epoch=17, step=21600, lr=0.110250, epoch loss=0.353079 Batch=59, step=21660, lr=0.110000, batch loss=0.002650, epoch loss=0.002650 Batch=119, step=21720, lr=0.109750, batch loss=0.006513, epoch loss=0.009162 Batch=179, step=21780, lr=0.109500, batch loss=0.012738, epoch loss=0.021900 Batch=239, step=21840, lr=0.109250, batch loss=0.010325, epoch loss=0.032226 Batch=299, step=21900, lr=0.109000, batch loss=0.001877, epoch loss=0.034102 Batch=359, step=21960, lr=0.108750, batch loss=0.011161, epoch loss=0.045263 Batch=419, step=22020, lr=0.108500, batch loss=0.011750, epoch loss=0.057013 Batch=479, step=22080, lr=0.108250, batch loss=0.002793, epoch loss=0.059806 Batch=539, step=22140, lr=0.108000, batch loss=0.018791, epoch loss=0.078598 Batch=599, step=22200, lr=0.107750, batch loss=0.016987, epoch loss=0.095584 Batch=659, step=22260, lr=0.107500, batch loss=0.014909, epoch loss=0.110493 Batch=719, step=22320, lr=0.107250, batch loss=0.027141, epoch loss=0.137635 Batch=779, step=22380, lr=0.107000, batch loss=0.044890, epoch loss=0.182525 Batch=839, step=22440, lr=0.106750, batch loss=0.021528, epoch loss=0.204053 Batch=899, step=22500, lr=0.106500, batch loss=0.021528, epoch loss=0.225582 Batch=959, step=22560, lr=0.106250, batch loss=0.010543, epoch loss=0.236125 Batch=1019, step=22620, lr=0.106000, batch loss=0.010200, epoch loss=0.246324 Batch=1079, step=22680, lr=0.105750, batch loss=0.000364, epoch loss=0.246688 Batch=1139, step=22740, lr=0.105500, batch loss=0.010738, epoch loss=0.257426 Batch=1199, step=22800, lr=0.105250, batch loss=0.004405, epoch loss=0.261831 Epoch=18, step=22800, lr=0.105250, epoch loss=0.261831 Batch=59, step=22860, lr=0.105000, batch loss=0.001507, epoch loss=0.001507 Batch=119, step=22920, lr=0.104750, batch loss=0.005408, epoch loss=0.006915 Batch=179, step=22980, lr=0.104500, batch loss=0.011142, epoch loss=0.018056 Batch=239, step=23040, lr=0.104250, batch loss=0.010127, epoch loss=0.028184 Batch=299, step=23100, lr=0.104000, batch loss=0.011053, epoch loss=0.039237 Batch=359, step=23160, lr=0.103750, batch loss=0.011791, epoch loss=0.051028 Batch=419, step=23220, lr=0.103500, batch loss=0.010687, epoch loss=0.061714 Batch=479, step=23280, lr=0.103250, batch loss=0.002523, epoch loss=0.064238 Batch=539, step=23340, lr=0.103000, batch loss=0.016471, epoch loss=0.080709 Batch=599, step=23400, lr=0.102750, batch loss=0.013930, epoch loss=0.094638 Batch=659, step=23460, lr=0.102500, batch loss=0.010620, epoch loss=0.105258 Batch=719, step=23520, lr=0.102250, batch loss=0.015517, epoch loss=0.120775 Batch=779, step=23580, lr=0.102000, batch loss=0.021870, epoch loss=0.142645 Batch=839, step=23640, lr=0.101750, batch loss=0.025062, epoch loss=0.167707 Batch=899, step=23700, lr=0.101500, batch loss=0.023871, epoch loss=0.191578 Batch=959, step=23760, lr=0.101250, batch loss=0.008780, epoch loss=0.200357 Batch=1019, step=23820, lr=0.101000, batch loss=0.008033, epoch loss=0.208390 Batch=1079, step=23880, lr=0.100750, batch loss=0.000461, epoch loss=0.208851 Batch=1139, step=23940, lr=0.100500, batch loss=0.009690, epoch loss=0.218541 Batch=1199, step=24000, lr=0.100250, batch loss=0.004592, epoch loss=0.223134 Epoch=19, step=24000, lr=0.100250, epoch loss=0.223134 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 20:06.08: Job failed: Failed: Build failed