2025-05-15 20:27.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (41a9d1e5f397edec7b8eef338a671210d4e6f970) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 41a9d1e5 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 # alpine-3.21-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 2025-05-15 20:27.23: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-15 20:27.23: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) (comment alpine-3.21-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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")) ) 2025-05-15 20:27.23: Waiting for resource in pool OCluster 2025-05-15 20:27.23: Waiting for worker… 2025-05-15 20:33.12: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 41a9d1e5 Unified logging for C_syntax, refactored by Gemini CUDA and Metal in-progress / broken: unfinished and potentially buggy. (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-15 20:33.38 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-15 20:33.38 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" /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 2025-05-15 20:34.34 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-15 20:34.34 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-15 20:34.35 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..e638a97fb8 master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> 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) 2025-05-15 20:35.27 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-15 20:35.27 ---> saved as "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377" /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) 2025-05-15 20:35.37 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-15 20:35.37 ---> saved as "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555" /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 "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-480-gb04256b6954 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-482-gf091f8194f5 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8296-ge2655291296 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8292-g2126bd2c639 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8292-g2126bd2c639 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58216 distinct packages available <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-05-15 20:36.28 ---> saved as "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7" /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 bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> installed num.1.5-1 -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed astring.0.8.5 -> installed ptime.1.2.0 -> installed fmt.0.10.0 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed printbox-md.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> 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_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_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) 2025-05-15 20:40.26 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" /src: (copy (src .) (dst /src)) 2025-05-15 20:40.27 ---> saved as "738d4a95e9cbfb5020e8b836e0c8b96bf1fcfc2d8dae5b800de034ddf221f646" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/16f8211fe8e34e31e11e2241610937d1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-41, characters 0-727: 19 | (rule 20 | (target 21 | (dir log_files)) .... 39 | "\\1[0]{=MAYBE UNINITIALIZED} = " 40 | "log_files/micrograd_demo_logging-g_gradient_update.log" 41 | "log_files/micrograd_demo_logging-g_gradient_update.log")))) (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_routine_files=overwrite) 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 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_debug_log_to_routine_files Found overwrite, commandline --ocannl_debug_log_to_routine_files=overwrite 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/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/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 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_debug_log_to_routine_files Not found, using default no 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=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.198000, batch loss=0.690502, epoch loss=40.449821 Batch=599, step=600, lr=0.197750, batch loss=1.101582, epoch loss=41.551403 Batch=659, step=660, lr=0.197500, batch loss=0.481828, epoch loss=42.033231 Batch=719, step=720, lr=0.197250, batch loss=0.410623, epoch loss=42.443854 Batch=779, step=780, lr=0.197000, batch loss=0.469028, epoch loss=42.912882 Batch=839, step=840, lr=0.196500, batch loss=0.450368, epoch loss=43.363250 Batch=899, step=900, lr=0.196250, batch loss=0.383557, epoch loss=43.746807 Batch=959, step=960, lr=0.196000, batch loss=0.267767, epoch loss=44.014574 Batch=1019, step=1020, lr=0.196000, batch loss=0.487572, epoch loss=44.502147 Batch=1079, step=1080, lr=0.195750, batch loss=0.265005, epoch loss=44.767152 Batch=1139, step=1140, lr=0.195500, batch loss=0.330959, epoch loss=45.098110 Batch=1199, step=1200, lr=0.195250, batch loss=0.265159, epoch loss=45.363270 Epoch=0, step=1200, lr=0.195250, epoch loss=45.363270 Batch=59, step=1260, lr=0.195000, batch loss=0.263230, epoch loss=0.263230 Batch=119, step=1320, lr=0.194750, batch loss=0.204630, epoch loss=0.467860 Batch=179, step=1380, lr=0.194500, batch loss=0.245299, epoch loss=0.713159 Batch=239, step=1440, lr=0.194250, batch loss=0.349917, epoch loss=1.063075 Batch=299, step=1500, lr=0.194000, batch loss=0.239478, epoch loss=1.302553 Batch=359, step=1560, lr=0.193750, batch loss=0.319259, epoch loss=1.621813 Batch=419, step=1620, lr=0.193500, batch loss=0.312583, epoch loss=1.934396 Batch=479, step=1680, lr=0.193250, batch loss=0.276775, epoch loss=2.211171 Batch=539, step=1740, lr=0.192750, batch loss=0.209515, epoch loss=2.420685 Batch=599, step=1800, lr=0.192750, batch loss=0.247611, epoch loss=2.668297 Batch=659, step=1860, lr=0.192500, batch loss=0.367044, epoch loss=3.035340 Batch=719, step=1920, lr=0.192250, batch loss=0.359198, epoch loss=3.394538 Batch=779, step=1980, lr=0.192000, batch loss=0.389444, epoch loss=3.783982 Batch=839, step=2040, lr=0.191750, batch loss=0.347149, epoch loss=4.131131 Batch=899, step=2100, lr=0.191500, batch loss=0.323321, epoch loss=4.454452 Batch=959, step=2160, lr=0.191250, batch loss=0.256509, epoch loss=4.710962 Batch=1019, step=2220, lr=0.191000, batch loss=0.391231, epoch loss=5.102193 Batch=1079, step=2280, lr=0.190750, batch loss=0.220116, epoch loss=5.322308 Batch=1139, step=2340, lr=0.190250, batch loss=0.265383, epoch loss=5.587692 Batch=1199, step=2400, lr=0.190250, batch loss=0.214232, epoch loss=5.801924 Epoch=1, step=2400, lr=0.190250, epoch loss=5.801924 Batch=59, step=2460, lr=0.190000, batch loss=0.230895, epoch loss=0.230895 Batch=119, step=2520, lr=0.189750, batch loss=0.190198, epoch loss=0.421092 Batch=179, step=2580, lr=0.189500, batch loss=0.221044, epoch loss=0.642137 Batch=239, step=2640, lr=0.189250, batch loss=0.330159, epoch loss=0.972295 Batch=299, step=2700, lr=0.189000, batch loss=0.206108, epoch loss=1.178403 Batch=359, step=2760, lr=0.188750, batch loss=0.290336, epoch loss=1.468739 Batch=419, step=2820, lr=0.188500, batch loss=0.282661, epoch loss=1.751400 Batch=479, step=2880, lr=0.188250, batch loss=0.254398, epoch loss=2.005799 Batch=539, step=2940, lr=0.188000, batch loss=0.193610, epoch loss=2.199408 Batch=599, step=3000, lr=0.187750, batch loss=0.228016, epoch loss=2.427425 Batch=659, step=3060, lr=0.187500, batch loss=0.339404, epoch loss=2.766828 Batch=719, step=3120, lr=0.187250, batch loss=0.332497, epoch loss=3.099325 Batch=779, step=3180, lr=0.187000, batch loss=0.355406, epoch loss=3.454731 Batch=839, step=3240, lr=0.186750, batch loss=0.329497, epoch loss=3.784228 Batch=899, step=3300, lr=0.186500, batch loss=0.303397, epoch loss=4.087625 Batch=959, step=3360, lr=0.186250, batch loss=0.241867, epoch loss=4.329492 Batch=1019, step=3420, lr=0.186000, batch loss=0.345903, epoch loss=4.675395 Batch=1079, step=3480, lr=0.185750, batch loss=0.225871, epoch loss=4.901265 Batch=1139, step=3540, lr=0.185500, batch loss=0.262446, epoch loss=5.163711 Batch=1199, step=3600, lr=0.185250, batch loss=0.200533, epoch loss=5.364245 Epoch=2, step=3600, lr=0.185250, epoch loss=5.364245 Batch=59, step=3660, lr=0.185000, batch loss=0.222850, epoch loss=0.222850 Batch=119, step=3720, lr=0.184750, batch loss=0.185676, epoch loss=0.408525 Batch=179, step=3780, lr=0.184500, batch loss=0.212901, epoch loss=0.621426 Batch=239, step=3840, lr=0.184250, batch loss=0.319174, epoch loss=0.940600 Batch=299, step=3900, lr=0.184000, batch loss=0.209739, epoch loss=1.150340 Batch=359, step=3960, lr=0.183750, batch loss=0.287395, epoch loss=1.437735 Batch=419, step=4020, lr=0.183250, batch loss=0.275574, epoch loss=1.713309 Batch=479, step=4080, lr=0.183250, batch loss=0.259736, epoch loss=1.973045 Batch=539, step=4140, lr=0.183000, batch loss=0.195754, epoch loss=2.168799 Batch=599, step=4200, lr=0.182750, batch loss=0.241419, epoch loss=2.410218 Batch=659, step=4260, lr=0.182500, batch loss=0.329707, epoch loss=2.739925 Batch=719, step=4320, lr=0.182250, batch loss=0.331115, epoch loss=3.071040 Batch=779, step=4380, lr=0.182000, batch loss=0.350583, epoch loss=3.421623 Batch=839, step=4440, lr=0.181500, batch loss=0.316869, epoch loss=3.738492 Batch=899, step=4500, lr=0.181250, batch loss=0.283177, epoch loss=4.021669 Batch=959, step=4560, lr=0.181250, batch loss=0.211830, epoch loss=4.233500 Batch=1019, step=4620, lr=0.181000, batch loss=0.313858, epoch loss=4.547358 Batch=1079, step=4680, lr=0.180750, batch loss=0.188137, epoch loss=4.735495 Batch=1139, step=4740, lr=0.180250, batch loss=0.225728, epoch loss=4.961223 Batch=1199, step=4800, lr=0.180250, batch loss=0.190733, epoch loss=5.151956 Epoch=3, step=4800, lr=0.180250, epoch loss=5.151956 Batch=59, step=4860, lr=0.180000, batch loss=0.222913, epoch loss=0.222913 Batch=119, step=4920, lr=0.179750, batch loss=0.187089, epoch loss=0.410002 Batch=179, step=4980, lr=0.179500, batch loss=0.205797, epoch loss=0.615799 Batch=239, step=5040, lr=0.179000, batch loss=0.307863, epoch loss=0.923662 Batch=299, step=5100, lr=0.178750, batch loss=0.197356, epoch loss=1.121018 Batch=359, step=5160, lr=0.178750, batch loss=0.275172, epoch loss=1.396190 Batch=419, step=5220, lr=0.178500, batch loss=0.269690, epoch loss=1.665880 Batch=479, step=5280, lr=0.178250, batch loss=0.254067, epoch loss=1.919946 Batch=539, step=5340, lr=0.178000, batch loss=0.192937, epoch loss=2.112884 Batch=599, step=5400, lr=0.177750, batch loss=0.230012, epoch loss=2.342895 Batch=659, step=5460, lr=0.177500, batch loss=0.326787, epoch loss=2.669682 Batch=719, step=5520, lr=0.177250, batch loss=0.334231, epoch loss=3.003913 Batch=779, step=5580, lr=0.177000, batch loss=0.344488, epoch loss=3.348401 Batch=839, step=5640, lr=0.176750, batch loss=0.310061, epoch loss=3.658462 Batch=899, step=5700, lr=0.176500, batch loss=0.272409, epoch loss=3.930871 Batch=959, step=5760, lr=0.176250, batch loss=0.217330, epoch loss=4.148201 Batch=1019, step=5820, lr=0.176000, batch loss=0.333907, epoch loss=4.482108 Batch=1079, step=5880, lr=0.175750, batch loss=0.192194, epoch loss=4.674302 Batch=1139, step=5940, lr=0.175500, batch loss=0.224227, epoch loss=4.898529 Batch=1199, step=6000, lr=0.175250, batch loss=0.189590, epoch loss=5.088119 Epoch=4, step=6000, lr=0.175250, epoch loss=5.088119 Batch=59, step=6060, lr=0.175000, batch loss=0.234559, epoch loss=0.234559 Batch=119, step=6120, lr=0.174750, batch loss=0.192219, epoch loss=0.426778 Batch=179, step=6180, lr=0.174500, batch loss=0.201690, epoch loss=0.628468 Batch=239, step=6240, lr=0.174250, batch loss=0.300000, epoch loss=0.928468 Batch=299, step=6300, lr=0.174000, batch loss=0.197730, epoch loss=1.126199 Batch=359, step=6360, lr=0.173750, batch loss=0.266157, epoch loss=1.392356 Batch=419, step=6420, lr=0.173500, batch loss=0.258499, epoch loss=1.650854 Batch=479, step=6480, lr=0.173250, batch loss=0.232367, epoch loss=1.883221 Batch=539, step=6540, lr=0.173000, batch loss=0.190084, epoch loss=2.073305 Batch=599, step=6600, lr=0.172750, batch loss=0.234110, epoch loss=2.307415 Batch=659, step=6660, lr=0.172500, batch loss=0.313467, epoch loss=2.620882 Batch=719, step=6720, lr=0.172250, batch loss=0.317636, epoch loss=2.938518 Batch=779, step=6780, lr=0.172000, batch loss=0.329101, epoch loss=3.267619 Batch=839, step=6840, lr=0.171750, batch loss=0.301965, epoch loss=3.569584 Batch=899, step=6900, lr=0.171500, batch loss=0.270548, epoch loss=3.840132 Batch=959, step=6960, lr=0.171250, batch loss=0.206273, epoch loss=4.046405 Batch=1019, step=7020, lr=0.171000, batch loss=0.332336, epoch loss=4.378741 Batch=1079, step=7080, lr=0.170750, batch loss=0.195545, epoch loss=4.574286 Batch=1139, step=7140, lr=0.170500, batch loss=0.232248, epoch loss=4.806534 Batch=1199, step=7200, lr=0.170250, batch loss=0.181008, epoch loss=4.987542 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987542 Batch=59, step=7260, lr=0.170000, batch loss=0.221120, epoch loss=0.221120 Batch=119, step=7320, lr=0.169750, batch loss=0.179587, epoch loss=0.400707 Batch=179, step=7380, lr=0.169500, batch loss=0.195763, epoch loss=0.596470 Batch=239, step=7440, lr=0.169250, batch loss=0.292346, epoch loss=0.888816 Batch=299, step=7500, lr=0.169000, batch loss=0.199072, epoch loss=1.087888 Batch=359, step=7560, lr=0.168750, batch loss=0.260521, epoch loss=1.348410 Batch=419, step=7620, lr=0.168500, batch loss=0.255738, epoch loss=1.604148 Batch=479, step=7680, lr=0.168250, batch loss=0.238207, epoch loss=1.842355 Batch=539, step=7740, lr=0.168000, batch loss=0.186888, epoch loss=2.029243 Batch=599, step=7800, lr=0.167750, batch loss=0.227009, epoch loss=2.256252 Batch=659, step=7860, lr=0.167500, batch loss=0.306386, epoch loss=2.562638 Batch=719, step=7920, lr=0.167250, batch loss=0.308906, epoch loss=2.871544 Batch=779, step=7980, lr=0.167000, batch loss=0.331352, epoch loss=3.202896 Batch=839, step=8040, lr=0.166750, batch loss=0.292142, epoch loss=3.495038 Batch=899, step=8100, lr=0.166500, batch loss=0.263021, epoch loss=3.758059 Batch=959, step=8160, lr=0.166250, batch loss=0.197838, epoch loss=3.955897 Batch=1019, step=8220, lr=0.166000, batch loss=0.322373, epoch loss=4.278270 Batch=1079, step=8280, lr=0.165750, batch loss=0.180055, epoch loss=4.458325 Batch=1139, step=8340, lr=0.165500, batch loss=0.211484, epoch loss=4.669808 Batch=1199, step=8400, lr=0.165250, batch loss=0.180356, epoch loss=4.850165 Epoch=6, step=8400, lr=0.165250, epoch loss=4.850165 Batch=59, step=8460, lr=0.165000, batch loss=0.226346, epoch loss=0.226346 Batch=119, step=8520, lr=0.164750, batch loss=0.177050, epoch loss=0.403396 Batch=179, step=8580, lr=0.164250, batch loss=0.189125, epoch loss=0.592521 Batch=239, step=8640, lr=0.164000, batch loss=0.278557, epoch loss=0.871078 Batch=299, step=8700, lr=0.163750, batch loss=0.194537, epoch loss=1.065614 Batch=359, step=8760, lr=0.163750, batch loss=0.254789, epoch loss=1.320404 Batch=419, step=8820, lr=0.163500, batch loss=0.246388, epoch loss=1.566792 Batch=479, step=8880, lr=0.163250, batch loss=0.229247, epoch loss=1.796039 Batch=539, step=8940, lr=0.163000, batch loss=0.178937, epoch loss=1.974976 Batch=599, step=9000, lr=0.162750, batch loss=0.218270, epoch loss=2.193246 Batch=659, step=9060, lr=0.162500, batch loss=0.295611, epoch loss=2.488857 Batch=719, step=9120, lr=0.162250, batch loss=0.295819, epoch loss=2.784676 Batch=779, step=9180, lr=0.162000, batch loss=0.316946, epoch loss=3.101622 Batch=839, step=9240, lr=0.161500, batch loss=0.287867, epoch loss=3.389489 Batch=899, step=9300, lr=0.161500, batch loss=0.251784, epoch loss=3.641273 Batch=959, step=9360, lr=0.161250, batch loss=0.190255, epoch loss=3.831528 Batch=1019, step=9420, lr=0.161000, batch loss=0.317145, epoch loss=4.148673 Batch=1079, step=9480, lr=0.160750, batch loss=0.187867, epoch loss=4.336540 Batch=1139, step=9540, lr=0.160500, batch loss=0.213433, epoch loss=4.549973 Batch=1199, step=9600, lr=0.160250, batch loss=0.168112, epoch loss=4.718085 Epoch=7, step=9600, lr=0.160250, epoch loss=4.718085 Batch=59, step=9660, lr=0.159750, batch loss=0.199461, epoch loss=0.199461 Batch=119, step=9720, lr=0.159500, batch loss=0.164863, epoch loss=0.364324 Batch=179, step=9780, lr=0.159250, batch loss=0.178882, epoch loss=0.543206 Batch=239, step=9840, lr=0.159250, batch loss=0.262530, epoch loss=0.805735 Batch=299, step=9900, lr=0.159000, batch loss=0.184437, epoch loss=0.990172 Batch=359, step=9960, lr=0.158750, batch loss=0.242014, epoch loss=1.232186 Batch=419, step=10020, lr=0.158500, batch loss=0.233942, epoch loss=1.466128 Batch=479, step=10080, lr=0.158250, batch loss=0.214781, epoch loss=1.680909 Batch=539, step=10140, lr=0.157750, batch loss=0.172772, epoch loss=1.853681 Batch=599, step=10200, lr=0.157750, batch loss=0.202534, epoch loss=2.056216 Batch=659, step=10260, lr=0.157500, batch loss=0.283505, epoch loss=2.339721 Batch=719, step=10320, lr=0.157250, batch loss=0.283949, epoch loss=2.623671 Batch=779, step=10380, lr=0.157000, batch loss=0.296629, epoch loss=2.920300 Batch=839, step=10440, lr=0.156750, batch loss=0.272667, epoch loss=3.192967 Batch=899, step=10500, lr=0.156500, batch loss=0.237513, epoch loss=3.430480 Batch=959, step=10560, lr=0.156250, batch loss=0.180194, epoch loss=3.610673 Batch=1019, step=10620, lr=0.156000, batch loss=0.298086, epoch loss=3.908760 Batch=1079, step=10680, lr=0.155750, batch loss=0.178534, epoch loss=4.087294 Batch=1139, step=10740, lr=0.155500, batch loss=0.199570, epoch loss=4.286864 Batch=1199, step=10800, lr=0.155250, batch loss=0.155343, epoch loss=4.442207 Epoch=8, step=10800, lr=0.155250, epoch loss=4.442207 Batch=59, step=10860, lr=0.155000, batch loss=0.178893, epoch loss=0.178893 Batch=119, step=10920, lr=0.154750, batch loss=0.152818, epoch loss=0.331711 Batch=179, step=10980, lr=0.154500, batch loss=0.167217, epoch loss=0.498928 Batch=239, step=11040, lr=0.154250, batch loss=0.248309, epoch loss=0.747236 Batch=299, step=11100, lr=0.154000, batch loss=0.160399, epoch loss=0.907636 Batch=359, step=11160, lr=0.153750, batch loss=0.213028, epoch loss=1.120663 Batch=419, step=11220, lr=0.153500, batch loss=0.207048, epoch loss=1.327711 Batch=479, step=11280, lr=0.153250, batch loss=0.184868, epoch loss=1.512579 Batch=539, step=11340, lr=0.153000, batch loss=0.153687, epoch loss=1.666266 Batch=599, step=11400, lr=0.152750, batch loss=0.180584, epoch loss=1.846849 Batch=659, step=11460, lr=0.152500, batch loss=0.264195, epoch loss=2.111045 Batch=719, step=11520, lr=0.152250, batch loss=0.257658, epoch loss=2.368702 Batch=779, step=11580, lr=0.152000, batch loss=0.272276, epoch loss=2.640979 Batch=839, step=11640, lr=0.151750, batch loss=0.250085, epoch loss=2.891064 Batch=899, step=11700, lr=0.151500, batch loss=0.219236, epoch loss=3.110299 Batch=959, step=11760, lr=0.151250, batch loss=0.189494, epoch loss=3.299793 Batch=1019, step=11820, lr=0.151000, batch loss=0.275833, epoch loss=3.575626 Batch=1079, step=11880, lr=0.150750, batch loss=0.153373, epoch loss=3.728999 Batch=1139, step=11940, lr=0.150500, batch loss=0.188095, epoch loss=3.917094 Batch=1199, step=12000, lr=0.150250, batch loss=0.140657, epoch loss=4.057751 Epoch=9, step=12000, lr=0.150250, epoch loss=4.057751 Batch=59, step=12060, lr=0.150000, batch loss=0.161593, epoch loss=0.161593 Batch=119, step=12120, lr=0.149750, batch loss=0.137768, epoch loss=0.299360 Batch=179, step=12180, lr=0.149500, batch loss=0.151377, epoch loss=0.450737 Batch=239, step=12240, lr=0.149250, batch loss=0.218504, epoch loss=0.669241 Batch=299, step=12300, lr=0.149000, batch loss=0.146045, epoch loss=0.815287 Batch=359, step=12360, lr=0.148750, batch loss=0.195545, epoch loss=1.010832 Batch=419, step=12420, lr=0.148500, batch loss=0.193853, epoch loss=1.204685 Batch=479, step=12480, lr=0.148250, batch loss=0.182968, epoch loss=1.387653 Batch=539, step=12540, lr=0.148000, batch loss=0.141166, epoch loss=1.528819 Batch=599, step=12600, lr=0.147750, batch loss=0.151910, epoch loss=1.680729 Batch=659, step=12660, lr=0.147500, batch loss=0.232130, epoch loss=1.912859 Batch=719, step=12720, lr=0.147250, batch loss=0.234924, epoch loss=2.147783 Batch=779, step=12780, lr=0.147000, batch loss=0.258489, epoch loss=2.406272 Batch=839, step=12840, lr=0.146750, batch loss=0.238902, epoch loss=2.645174 Batch=899, step=12900, lr=0.146500, batch loss=0.233152, epoch loss=2.878326 Batch=959, step=12960, lr=0.146250, batch loss=0.139708, epoch loss=3.018034 Batch=1019, step=13020, lr=0.146000, batch loss=0.213748, epoch loss=3.231782 Batch=1079, step=13080, lr=0.145750, batch loss=0.118036, epoch loss=3.349818 Batch=1139, step=13140, lr=0.145500, batch loss=0.153346, epoch loss=3.503164 Batch=1199, step=13200, lr=0.145250, batch loss=0.116961, epoch loss=3.620126 Epoch=10, step=13200, lr=0.145250, epoch loss=3.620126 Batch=59, step=13260, lr=0.145000, batch loss=0.140843, epoch loss=0.140843 Batch=119, step=13320, lr=0.144750, batch loss=0.122848, epoch loss=0.263692 Batch=179, step=13380, lr=0.144500, batch loss=0.128684, epoch loss=0.392376 Batch=239, step=13440, lr=0.144250, batch loss=0.187966, epoch loss=0.580342 Batch=299, step=13500, lr=0.144000, batch loss=0.116653, epoch loss=0.696995 Batch=359, step=13560, lr=0.143750, batch loss=0.161284, epoch loss=0.858279 Batch=419, step=13620, lr=0.143500, batch loss=0.161644, epoch loss=1.019923 Batch=479, step=13680, lr=0.143250, batch loss=0.149920, epoch loss=1.169842 Batch=539, step=13740, lr=0.143000, batch loss=0.119676, epoch loss=1.289518 Batch=599, step=13800, lr=0.142750, batch loss=0.122557, epoch loss=1.412076 Batch=659, step=13860, lr=0.142500, batch loss=0.187691, epoch loss=1.599767 Batch=719, step=13920, lr=0.142250, batch loss=0.215946, epoch loss=1.815713 Batch=779, step=13980, lr=0.142000, batch loss=0.256141, epoch loss=2.071854 Batch=839, step=14040, lr=0.141750, batch loss=0.189195, epoch loss=2.261049 Batch=899, step=14100, lr=0.141500, batch loss=0.163801, epoch loss=2.424850 Batch=959, step=14160, lr=0.141250, batch loss=0.144164, epoch loss=2.569015 Batch=1019, step=14220, lr=0.141000, batch loss=0.285848, epoch loss=2.854862 Batch=1079, step=14280, lr=0.140750, batch loss=0.079596, epoch loss=2.934459 Batch=1139, step=14340, lr=0.140500, batch loss=0.123161, epoch loss=3.057620 Batch=1199, step=14400, lr=0.140250, batch loss=0.091301, epoch loss=3.148921 Epoch=11, step=14400, lr=0.140250, epoch loss=3.148921 Batch=59, step=14460, lr=0.140000, batch loss=0.115466, epoch loss=0.115466 Batch=119, step=14520, lr=0.139750, batch loss=0.110583, epoch loss=0.226049 Batch=179, step=14580, lr=0.139500, batch loss=0.107137, epoch loss=0.333186 Batch=239, step=14640, lr=0.139250, batch loss=0.142689, epoch loss=0.475875 Batch=299, step=14700, lr=0.138750, batch loss=0.083231, epoch loss=0.559106 Batch=359, step=14760, lr=0.138750, batch loss=0.122702, epoch loss=0.681808 Batch=419, step=14820, lr=0.138500, batch loss=0.128033, epoch loss=0.809841 Batch=479, step=14880, lr=0.138250, batch loss=0.105460, epoch loss=0.915301 Batch=539, step=14940, lr=0.138000, batch loss=0.105794, epoch loss=1.021094 Batch=599, step=15000, lr=0.137750, batch loss=0.086626, epoch loss=1.107720 Batch=659, step=15060, lr=0.137500, batch loss=0.130917, epoch loss=1.238637 Batch=719, step=15120, lr=0.137250, batch loss=0.121335, epoch loss=1.359973 Batch=779, step=15180, lr=0.137000, batch loss=0.125869, epoch loss=1.485842 Batch=839, step=15240, lr=0.136750, batch loss=0.157576, epoch loss=1.643418 Batch=899, step=15300, lr=0.136500, batch loss=0.232466, epoch loss=1.875884 Batch=959, step=15360, lr=0.136250, batch loss=0.055954, epoch loss=1.931838 Batch=1019, step=15420, lr=0.135750, batch loss=0.137981, epoch loss=2.069820 Batch=1079, step=15480, lr=0.135750, batch loss=0.055315, epoch loss=2.125135 Batch=1139, step=15540, lr=0.135500, batch loss=0.114398, epoch loss=2.239533 Batch=1199, step=15600, lr=0.135250, batch loss=0.057309, epoch loss=2.296842 Epoch=12, step=15600, lr=0.135250, epoch loss=2.296842 Batch=59, step=15660, lr=0.135000, batch loss=0.083475, epoch loss=0.083475 Batch=119, step=15720, lr=0.134750, batch loss=0.131822, epoch loss=0.215297 Batch=179, step=15780, lr=0.134500, batch loss=0.096387, epoch loss=0.311683 Batch=239, step=15840, lr=0.134250, batch loss=0.096847, epoch loss=0.408530 Batch=299, step=15900, lr=0.134000, batch loss=0.040403, epoch loss=0.448934 Batch=359, step=15960, lr=0.133750, batch loss=0.082391, epoch loss=0.531325 Batch=419, step=16020, lr=0.133500, batch loss=0.081266, epoch loss=0.612591 Batch=479, step=16080, lr=0.133250, batch loss=0.066781, epoch loss=0.679372 Batch=539, step=16140, lr=0.133000, batch loss=0.056272, epoch loss=0.735644 Batch=599, step=16200, lr=0.132750, batch loss=0.104838, epoch loss=0.840482 Batch=659, step=16260, lr=0.132500, batch loss=0.079133, epoch loss=0.919615 Batch=719, step=16320, lr=0.132250, batch loss=0.089029, epoch loss=1.008644 Batch=779, step=16380, lr=0.132000, batch loss=0.130106, epoch loss=1.138750 Batch=839, step=16440, lr=0.131750, batch loss=0.127057, epoch loss=1.265807 Batch=899, step=16500, lr=0.131500, batch loss=0.149798, epoch loss=1.415605 Batch=959, step=16560, lr=0.131250, batch loss=0.034684, epoch loss=1.450289 Batch=1019, step=16620, lr=0.131000, batch loss=0.085228, epoch loss=1.535517 Batch=1079, step=16680, lr=0.130750, batch loss=0.038462, epoch loss=1.573979 Batch=1139, step=16740, lr=0.130500, batch loss=0.081457, epoch loss=1.655437 Batch=1199, step=16800, lr=0.130250, batch loss=0.038099, epoch loss=1.693536 Epoch=13, step=16800, lr=0.130250, epoch loss=1.693536 Batch=59, step=16860, lr=0.130000, batch loss=0.035603, epoch loss=0.035603 Batch=119, step=16920, lr=0.129750, batch loss=0.034541, epoch loss=0.070145 Batch=179, step=16980, lr=0.129500, batch loss=0.042303, epoch loss=0.112447 Batch=239, step=17040, lr=0.129250, batch loss=0.056153, epoch loss=0.168600 Batch=299, step=17100, lr=0.129000, batch loss=0.020481, epoch loss=0.189081 Batch=359, step=17160, lr=0.128750, batch loss=0.042484, epoch loss=0.231565 Batch=419, step=17220, lr=0.128500, batch loss=0.044621, epoch loss=0.276186 Batch=479, step=17280, lr=0.128250, batch loss=0.023188, epoch loss=0.299375 Batch=539, step=17340, lr=0.128000, batch loss=0.027648, epoch loss=0.327023 Batch=599, step=17400, lr=0.127750, batch loss=0.040253, epoch loss=0.367275 Batch=659, step=17460, lr=0.127500, batch loss=0.055460, epoch loss=0.422736 Batch=719, step=17520, lr=0.127250, batch loss=0.079748, epoch loss=0.502484 Batch=779, step=17580, lr=0.127000, batch loss=0.068011, epoch loss=0.570495 Batch=839, step=17640, lr=0.126750, batch loss=0.100813, epoch loss=0.671308 Batch=899, step=17700, lr=0.126500, batch loss=0.051284, epoch loss=0.722591 Batch=959, step=17760, lr=0.126250, batch loss=0.017585, epoch loss=0.740177 Batch=1019, step=17820, lr=0.126000, batch loss=0.025799, epoch loss=0.765976 Batch=1079, step=17880, lr=0.125750, batch loss=0.029201, epoch loss=0.795177 Batch=1139, step=17940, lr=0.125500, batch loss=0.076369, epoch loss=0.871546 Batch=1199, step=18000, lr=0.125250, batch loss=0.021840, epoch loss=0.893386 Epoch=14, step=18000, lr=0.125250, epoch loss=0.893386 Batch=59, step=18060, lr=0.125000, batch loss=0.016089, epoch loss=0.016089 Batch=119, step=18120, lr=0.124750, batch loss=0.018749, epoch loss=0.034838 Batch=179, step=18180, lr=0.124500, batch loss=0.030488, epoch loss=0.065326 Batch=239, step=18240, lr=0.124250, batch loss=0.036431, epoch loss=0.101757 Batch=299, step=18300, lr=0.124000, batch loss=0.010099, epoch loss=0.111855 Batch=359, step=18360, lr=0.123750, batch loss=0.023060, epoch loss=0.134915 Batch=419, step=18420, lr=0.123500, batch loss=0.028421, epoch loss=0.163336 Batch=479, step=18480, lr=0.123250, batch loss=0.025064, epoch loss=0.188400 Batch=539, step=18540, lr=0.123000, batch loss=0.055308, epoch loss=0.243708 Batch=599, step=18600, lr=0.122500, batch loss=0.026785, epoch loss=0.270493 Batch=659, step=18660, lr=0.122250, batch loss=0.031625, epoch loss=0.302118 Batch=719, step=18720, lr=0.122250, batch loss=0.042027, epoch loss=0.344145 Batch=779, step=18780, lr=0.122000, batch loss=0.128458, epoch loss=0.472604 Batch=839, step=18840, lr=0.121750, batch loss=0.059371, epoch loss=0.531974 Batch=899, step=18900, lr=0.121500, batch loss=0.076409, epoch loss=0.608383 Batch=959, step=18960, lr=0.121250, batch loss=0.014288, epoch loss=0.622671 Batch=1019, step=19020, lr=0.121000, batch loss=0.022247, epoch loss=0.644918 Batch=1079, step=19080, lr=0.120750, batch loss=0.008667, epoch loss=0.653585 Batch=1139, step=19140, lr=0.120500, batch loss=0.024214, epoch loss=0.677798 Batch=1199, step=19200, lr=0.120250, batch loss=0.009968, epoch loss=0.687766 Epoch=15, step=19200, lr=0.120250, epoch loss=0.687766 Batch=59, step=19260, lr=0.120000, batch loss=0.004765, epoch loss=0.004765 Batch=119, step=19320, lr=0.119750, batch loss=0.020345, epoch loss=0.025109 Batch=179, step=19380, lr=0.119500, batch loss=0.054714, epoch loss=0.079823 Batch=239, step=19440, lr=0.119250, batch loss=0.025458, epoch loss=0.105281 Batch=299, step=19500, lr=0.119000, batch loss=0.014753, epoch loss=0.120034 Batch=359, step=19560, lr=0.118750, batch loss=0.036626, epoch loss=0.156660 Batch=419, step=19620, lr=0.118500, batch loss=0.021462, epoch loss=0.178122 Batch=479, step=19680, lr=0.118250, batch loss=0.007124, epoch loss=0.185246 Batch=539, step=19740, lr=0.118000, batch loss=0.018582, epoch loss=0.203828 Batch=599, step=19800, lr=0.117750, batch loss=0.021481, epoch loss=0.225309 Batch=659, step=19860, lr=0.117500, batch loss=0.018798, epoch loss=0.244107 Batch=719, step=19920, lr=0.117250, batch loss=0.036635, epoch loss=0.280742 Batch=779, step=19980, lr=0.117000, batch loss=0.084255, epoch loss=0.364997 Batch=839, step=20040, lr=0.116750, batch loss=0.031475, epoch loss=0.396472 Batch=899, step=20100, lr=0.116500, batch loss=0.033556, epoch loss=0.430028 Batch=959, step=20160, lr=0.116250, batch loss=0.011116, epoch loss=0.441144 Batch=1019, step=20220, lr=0.116000, batch loss=0.015101, epoch loss=0.456245 Batch=1079, step=20280, lr=0.115750, batch loss=0.002320, epoch loss=0.458565 Batch=1139, step=20340, lr=0.115500, batch loss=0.014880, epoch loss=0.473445 Batch=1199, step=20400, lr=0.115250, batch loss=0.007165, epoch loss=0.480610 Epoch=16, step=20400, lr=0.115250, epoch loss=0.480610 Batch=59, step=20460, lr=0.114750, batch loss=0.003225, epoch loss=0.003225 Batch=119, step=20520, lr=0.114750, batch loss=0.008895, epoch loss=0.012120 Batch=179, step=20580, lr=0.114250, batch loss=0.020472, epoch loss=0.032592 Batch=239, step=20640, lr=0.114250, batch loss=0.020162, epoch loss=0.052754 Batch=299, step=20700, lr=0.114000, batch loss=0.010517, epoch loss=0.063271 Batch=359, step=20760, lr=0.113750, batch loss=0.014881, epoch loss=0.078151 Batch=419, step=20820, lr=0.113500, batch loss=0.014913, epoch loss=0.093064 Batch=479, step=20880, lr=0.113250, batch loss=0.003826, epoch loss=0.096890 Batch=539, step=20940, lr=0.113000, batch loss=0.018372, epoch loss=0.115261 Batch=599, step=21000, lr=0.112750, batch loss=0.021393, epoch loss=0.136654 Batch=659, step=21060, lr=0.112500, batch loss=0.014714, epoch loss=0.151369 Batch=719, step=21120, lr=0.112250, batch loss=0.042135, epoch loss=0.193504 Batch=779, step=21180, lr=0.112000, batch loss=0.072617, epoch loss=0.266121 Batch=839, step=21240, lr=0.111750, batch loss=0.025442, epoch loss=0.291563 Batch=899, step=21300, lr=0.111500, batch loss=0.027886, epoch loss=0.319449 Batch=959, step=21360, lr=0.111250, batch loss=0.010225, epoch loss=0.329674 Batch=1019, step=21420, lr=0.111000, batch loss=0.010795, epoch loss=0.340468 Batch=1079, step=21480, lr=0.110750, batch loss=0.001778, epoch loss=0.342246 Batch=1139, step=21540, lr=0.110500, batch loss=0.013064, epoch loss=0.355310 Batch=1199, step=21600, lr=0.110250, batch loss=0.005268, epoch loss=0.360578 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360578 Batch=59, step=21660, lr=0.110000, batch loss=0.002719, epoch loss=0.002719 Batch=119, step=21720, lr=0.109750, batch loss=0.006730, epoch loss=0.009449 Batch=179, step=21780, lr=0.109500, batch loss=0.012400, epoch loss=0.021849 Batch=239, step=21840, lr=0.109250, batch loss=0.009358, epoch loss=0.031207 Batch=299, step=21900, lr=0.109000, batch loss=0.007829, epoch loss=0.039036 Batch=359, step=21960, lr=0.108750, batch loss=0.013665, epoch loss=0.052701 Batch=419, step=22020, lr=0.108500, batch loss=0.012948, epoch loss=0.065650 Batch=479, step=22080, lr=0.108250, batch loss=0.003047, epoch loss=0.068697 Batch=539, step=22140, lr=0.108000, batch loss=0.016850, epoch loss=0.085547 Batch=599, step=22200, lr=0.107750, batch loss=0.015632, epoch loss=0.101179 Batch=659, step=22260, lr=0.107500, batch loss=0.011377, epoch loss=0.112556 Batch=719, step=22320, lr=0.107250, batch loss=0.016775, epoch loss=0.129331 Batch=779, step=22380, lr=0.107000, batch loss=0.024009, epoch loss=0.153340 Batch=839, step=22440, lr=0.106750, batch loss=0.026501, epoch loss=0.179841 Batch=899, step=22500, lr=0.106500, batch loss=0.025853, epoch loss=0.205694 Batch=959, step=22560, lr=0.106250, batch loss=0.008928, epoch loss=0.214623 Batch=1019, step=22620, lr=0.106000, batch loss=0.008810, epoch loss=0.223432 Batch=1079, step=22680, lr=0.105750, batch loss=0.001025, epoch loss=0.224458 Batch=1139, step=22740, lr=0.105500, batch loss=0.010171, epoch loss=0.234629 Batch=1199, step=22800, lr=0.105250, batch loss=0.005007, epoch loss=0.239636 Epoch=18, step=22800, lr=0.105250, epoch loss=0.239636 Batch=59, step=22860, lr=0.105000, batch loss=0.002135, epoch loss=0.002135 Batch=119, step=22920, lr=0.104750, batch loss=0.005465, epoch loss=0.007600 Batch=179, step=22980, lr=0.104500, batch loss=0.010941, epoch loss=0.018541 Batch=239, step=23040, lr=0.104250, batch loss=0.008925, epoch loss=0.027466 Batch=299, step=23100, lr=0.104000, batch loss=0.008562, epoch loss=0.036028 Batch=359, step=23160, lr=0.103500, batch loss=0.013405, epoch loss=0.049433 Batch=419, step=23220, lr=0.103500, batch loss=0.011232, epoch loss=0.060665 Batch=479, step=23280, lr=0.103250, batch loss=0.004018, epoch loss=0.064683 Batch=539, step=23340, lr=0.103000, batch loss=0.014151, epoch loss=0.078834 Batch=599, step=23400, lr=0.102750, batch loss=0.014782, epoch loss=0.093617 Batch=659, step=23460, lr=0.102500, batch loss=0.015224, epoch loss=0.108841 Batch=719, step=23520, lr=0.102000, batch loss=0.018426, epoch loss=0.127267 Batch=779, step=23580, lr=0.102000, batch loss=0.020379, epoch loss=0.147645 Batch=839, step=23640, lr=0.101750, batch loss=0.026955, epoch loss=0.174600 Batch=899, step=23700, lr=0.101500, batch loss=0.022040, epoch loss=0.196640 Batch=959, step=23760, lr=0.101250, batch loss=0.007954, epoch loss=0.204594 Batch=1019, step=23820, lr=0.101000, batch loss=0.008449, epoch loss=0.213043 Batch=1079, step=23880, lr=0.100750, batch loss=0.001349, epoch loss=0.214392 Batch=1139, step=23940, lr=0.100500, batch loss=0.008514, epoch loss=0.222907 Batch=1199, step=24000, lr=0.100250, batch loss=0.004643, epoch loss=0.227550 Epoch=19, step=24000, lr=0.100250, epoch loss=0.227550 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 2025-05-15 20:41.53: Job failed: Failed: Build failed