2025-05-15 13:37.50: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9156a204994bc18bf1bb375e2a01c887bd47fc08) (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 9156a204 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 13:37.50: 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 13:37.50: 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 13:37.50: Waiting for resource in pool OCluster 2025-05-15 13:37.50: Waiting for worker… 2025-05-15 13:51.02: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 9156a204 Logging test harness (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-15 13:51.33 ---> 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 13:51.33 ---> 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. Continue? [y/n] y 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. [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 13:52.10 ---> 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 13:52.10 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-15 13:52.10 ---> 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..8efeb9aa26 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 13:52.42 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-15 13:52.42 ---> 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 13:52.50 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-15 13:52.50 ---> 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] - v20250108-8287-g183b05ebd06 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8290-g19ac03e5abc [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8285-gdc4ecc886ee [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58216 distinct packages available <><> 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-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 13:53.18 ---> 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 base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved 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_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) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> 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 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 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 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 ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> 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 13:58.12 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" /src: (copy (src .) (dst /src)) 2025-05-15 13:58.13 ---> saved as "9ccdfa0411ed0aa7208192d25c591e9855b5a8a4cf72328efb1b8eba5475db8d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/acafae3eddf2dbd5bf2f93a73acb3e62/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/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_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=0.189500, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189250, batch loss=0.221141, epoch loss=0.647466 Batch=239, step=2640, lr=0.189250, batch loss=0.328104, epoch loss=0.975570 Batch=299, step=2700, lr=0.189000, batch loss=0.202967, epoch loss=1.178537 Batch=359, step=2760, lr=0.188750, batch loss=0.289874, epoch loss=1.468411 Batch=419, step=2820, lr=0.188500, batch loss=0.281770, epoch loss=1.750181 Batch=479, step=2880, lr=0.188250, batch loss=0.264813, epoch loss=2.014994 Batch=539, step=2940, lr=0.188000, batch loss=0.203835, epoch loss=2.218829 Batch=599, step=3000, lr=0.187750, batch loss=0.248034, epoch loss=2.466863 Batch=659, step=3060, lr=0.187500, batch loss=0.345089, epoch loss=2.811952 Batch=719, step=3120, lr=0.187250, batch loss=0.343512, epoch loss=3.155464 Batch=779, step=3180, lr=0.187000, batch loss=0.367022, epoch loss=3.522486 Batch=839, step=3240, lr=0.186750, batch loss=0.321769, epoch loss=3.844255 Batch=899, step=3300, lr=0.186500, batch loss=0.283891, epoch loss=4.128146 Batch=959, step=3360, lr=0.186250, batch loss=0.214375, epoch loss=4.342521 Batch=1019, step=3420, lr=0.186000, batch loss=0.306450, epoch loss=4.648971 Batch=1079, step=3480, lr=0.185750, batch loss=0.177260, epoch loss=4.826231 Batch=1139, step=3540, lr=0.185500, batch loss=0.235606, epoch loss=5.061837 Batch=1199, step=3600, lr=0.185250, batch loss=0.197913, epoch loss=5.259750 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259750 Batch=59, step=3660, lr=0.185000, batch loss=0.226501, epoch loss=0.226501 Batch=119, step=3720, lr=0.184750, batch loss=0.191837, epoch loss=0.418338 Batch=179, step=3780, lr=0.184500, batch loss=0.210713, epoch loss=0.629051 Batch=239, step=3840, lr=0.184250, batch loss=0.314093, epoch loss=0.943144 Batch=299, step=3900, lr=0.184000, batch loss=0.206058, epoch loss=1.149202 Batch=359, step=3960, lr=0.183750, batch loss=0.291197, epoch loss=1.440398 Batch=419, step=4020, lr=0.183500, batch loss=0.297489, epoch loss=1.737888 Batch=479, step=4080, lr=0.183250, batch loss=0.260472, epoch loss=1.998359 Batch=539, step=4140, lr=0.183000, batch loss=0.195261, epoch loss=2.193621 Batch=599, step=4200, lr=0.182750, batch loss=0.230346, epoch loss=2.423967 Batch=659, step=4260, lr=0.182250, batch loss=0.337187, epoch loss=2.761154 Batch=719, step=4320, lr=0.182250, batch loss=0.347007, epoch loss=3.108161 Batch=779, step=4380, lr=0.182000, batch loss=0.346424, epoch loss=3.454585 Batch=839, step=4440, lr=0.181750, batch loss=0.317676, epoch loss=3.772262 Batch=899, step=4500, lr=0.181500, batch loss=0.284061, epoch loss=4.056323 Batch=959, step=4560, lr=0.181250, batch loss=0.238155, epoch loss=4.294479 Batch=1019, step=4620, lr=0.181000, batch loss=0.337155, epoch loss=4.631634 Batch=1079, step=4680, lr=0.180750, batch loss=0.208312, epoch loss=4.839946 Batch=1139, step=4740, lr=0.180500, batch loss=0.249374, epoch loss=5.089319 Batch=1199, step=4800, lr=0.180000, batch loss=0.191773, epoch loss=5.281092 Epoch=3, step=4800, lr=0.180000, epoch loss=5.281092 Batch=59, step=4860, lr=0.180000, batch loss=0.227932, epoch loss=0.227932 Batch=119, step=4920, lr=0.179750, batch loss=0.190343, epoch loss=0.418275 Batch=179, step=4980, lr=0.179500, batch loss=0.205919, epoch loss=0.624194 Batch=239, step=5040, lr=0.179250, batch loss=0.309007, epoch loss=0.933201 Batch=299, step=5100, lr=0.179000, batch loss=0.204718, epoch loss=1.137919 Batch=359, step=5160, lr=0.178750, batch loss=0.271069, epoch loss=1.408988 Batch=419, step=5220, lr=0.178500, batch loss=0.264085, epoch loss=1.673073 Batch=479, step=5280, lr=0.178250, batch loss=0.239639, epoch loss=1.912711 Batch=539, step=5340, lr=0.178000, batch loss=0.189557, epoch loss=2.102268 Batch=599, step=5400, lr=0.177750, batch loss=0.230867, epoch loss=2.333135 Batch=659, step=5460, lr=0.177250, batch loss=0.323708, epoch loss=2.656843 Batch=719, step=5520, lr=0.177250, batch loss=0.325720, epoch loss=2.982563 Batch=779, step=5580, lr=0.177000, batch loss=0.338108, epoch loss=3.320670 Batch=839, step=5640, lr=0.176750, batch loss=0.314255, epoch loss=3.634925 Batch=899, step=5700, lr=0.176500, batch loss=0.277680, epoch loss=3.912605 Batch=959, step=5760, lr=0.176250, batch loss=0.220198, epoch loss=4.132802 Batch=1019, step=5820, lr=0.176000, batch loss=0.333692, epoch loss=4.466494 Batch=1079, step=5880, lr=0.175750, batch loss=0.194685, epoch loss=4.661179 Batch=1139, step=5940, lr=0.175500, batch loss=0.227750, epoch loss=4.888929 Batch=1199, step=6000, lr=0.175250, batch loss=0.183418, epoch loss=5.072347 Epoch=4, step=6000, lr=0.175250, epoch loss=5.072347 Batch=59, step=6060, lr=0.175000, batch loss=0.224419, epoch loss=0.224419 Batch=119, step=6120, lr=0.174750, batch loss=0.184264, epoch loss=0.408682 Batch=179, step=6180, lr=0.174500, batch loss=0.200888, epoch loss=0.609571 Batch=239, step=6240, lr=0.174250, batch loss=0.301114, epoch loss=0.910685 Batch=299, step=6300, lr=0.173750, batch loss=0.212632, epoch loss=1.123317 Batch=359, step=6360, lr=0.173500, batch loss=0.273015, epoch loss=1.396332 Batch=419, step=6420, lr=0.173500, batch loss=0.266541, epoch loss=1.662873 Batch=479, step=6480, lr=0.173000, batch loss=0.241823, epoch loss=1.904696 Batch=539, step=6540, lr=0.172750, batch loss=0.195794, epoch loss=2.100490 Batch=599, step=6600, lr=0.172750, batch loss=0.233159, epoch loss=2.333648 Batch=659, step=6660, lr=0.172500, batch loss=0.312575, epoch loss=2.646223 Batch=719, step=6720, lr=0.172250, batch loss=0.318644, epoch loss=2.964867 Batch=779, step=6780, lr=0.172000, batch loss=0.335047, epoch loss=3.299914 Batch=839, step=6840, lr=0.171750, batch loss=0.303041, epoch loss=3.602955 Batch=899, step=6900, lr=0.171500, batch loss=0.267980, epoch loss=3.870935 Batch=959, step=6960, lr=0.171250, batch loss=0.211906, epoch loss=4.082841 Batch=1019, step=7020, lr=0.171000, batch loss=0.331138, epoch loss=4.413979 Batch=1079, step=7080, lr=0.170750, batch loss=0.185474, epoch loss=4.599453 Batch=1139, step=7140, lr=0.170500, batch loss=0.215198, epoch loss=4.814651 Batch=1199, step=7200, lr=0.170250, batch loss=0.185228, epoch loss=4.999880 Epoch=5, step=7200, lr=0.170250, epoch loss=4.999880 Batch=59, step=7260, lr=0.170000, batch loss=0.234904, epoch loss=0.234904 Batch=119, step=7320, lr=0.169750, batch loss=0.183063, epoch loss=0.417967 Batch=179, step=7380, lr=0.169500, batch loss=0.195632, epoch loss=0.613599 Batch=239, step=7440, lr=0.169000, batch loss=0.294191, epoch loss=0.907790 Batch=299, step=7500, lr=0.169000, batch loss=0.202848, epoch loss=1.110638 Batch=359, step=7560, lr=0.168750, batch loss=0.264978, epoch loss=1.375616 Batch=419, step=7620, lr=0.168500, batch loss=0.256502, epoch loss=1.632118 Batch=479, step=7680, lr=0.168250, batch loss=0.236517, epoch loss=1.868635 Batch=539, step=7740, lr=0.168000, batch loss=0.188686, epoch loss=2.057321 Batch=599, step=7800, lr=0.167750, batch loss=0.225093, epoch loss=2.282414 Batch=659, step=7860, lr=0.167500, batch loss=0.304599, epoch loss=2.587013 Batch=719, step=7920, lr=0.167250, batch loss=0.307945, epoch loss=2.894957 Batch=779, step=7980, lr=0.167000, batch loss=0.324418, epoch loss=3.219375 Batch=839, step=8040, lr=0.166750, batch loss=0.293034, epoch loss=3.512410 Batch=899, step=8100, lr=0.166500, batch loss=0.260927, epoch loss=3.773337 Batch=959, step=8160, lr=0.166250, batch loss=0.203094, epoch loss=3.976431 Batch=1019, step=8220, lr=0.166000, batch loss=0.317249, epoch loss=4.293681 Batch=1079, step=8280, lr=0.165750, batch loss=0.170159, epoch loss=4.463840 Batch=1139, step=8340, lr=0.165500, batch loss=0.206955, epoch loss=4.670795 Batch=1199, step=8400, lr=0.165250, batch loss=0.179412, epoch loss=4.850207 Epoch=6, step=8400, lr=0.165250, epoch loss=4.850207 Batch=59, step=8460, lr=0.165000, batch loss=0.227119, epoch loss=0.227119 Batch=119, step=8520, lr=0.164750, batch loss=0.176138, epoch loss=0.403257 Batch=179, step=8580, lr=0.164500, batch loss=0.187505, epoch loss=0.590762 Batch=239, step=8640, lr=0.164250, batch loss=0.280687, epoch loss=0.871449 Batch=299, step=8700, lr=0.164000, batch loss=0.194901, epoch loss=1.066350 Batch=359, step=8760, lr=0.163750, batch loss=0.254007, epoch loss=1.320358 Batch=419, step=8820, lr=0.163250, batch loss=0.245784, epoch loss=1.566142 Batch=479, step=8880, lr=0.163250, batch loss=0.227937, epoch loss=1.794078 Batch=539, step=8940, lr=0.163000, batch loss=0.179633, epoch loss=1.973712 Batch=599, step=9000, lr=0.162750, batch loss=0.217128, epoch loss=2.190839 Batch=659, step=9060, lr=0.162250, batch loss=0.293758, epoch loss=2.484597 Batch=719, step=9120, lr=0.162250, batch loss=0.292758, epoch loss=2.777356 Batch=779, step=9180, lr=0.162000, batch loss=0.315928, epoch loss=3.093283 Batch=839, step=9240, lr=0.161750, batch loss=0.285621, epoch loss=3.378905 Batch=899, step=9300, lr=0.161500, batch loss=0.251498, epoch loss=3.630403 Batch=959, step=9360, lr=0.161250, batch loss=0.188270, epoch loss=3.818673 Batch=1019, step=9420, lr=0.161000, batch loss=0.317953, epoch loss=4.136625 Batch=1079, step=9480, lr=0.160750, batch loss=0.199970, epoch loss=4.336595 Batch=1139, step=9540, lr=0.160500, batch loss=0.211752, epoch loss=4.548347 Batch=1199, step=9600, lr=0.160250, batch loss=0.166845, epoch loss=4.715192 Epoch=7, step=9600, lr=0.160250, epoch loss=4.715192 Batch=59, step=9660, lr=0.160000, batch loss=0.201917, epoch loss=0.201917 Batch=119, step=9720, lr=0.159750, batch loss=0.169888, epoch loss=0.371805 Batch=179, step=9780, lr=0.159500, batch loss=0.178952, epoch loss=0.550757 Batch=239, step=9840, lr=0.159250, batch loss=0.261786, epoch loss=0.812542 Batch=299, step=9900, lr=0.159000, batch loss=0.183095, epoch loss=0.995637 Batch=359, step=9960, lr=0.158750, batch loss=0.239319, epoch loss=1.234956 Batch=419, step=10020, lr=0.158500, batch loss=0.232811, epoch loss=1.467767 Batch=479, step=10080, lr=0.158250, batch loss=0.213142, epoch loss=1.680910 Batch=539, step=10140, lr=0.158000, batch loss=0.171151, epoch loss=1.852061 Batch=599, step=10200, lr=0.157750, batch loss=0.201097, epoch loss=2.053158 Batch=659, step=10260, lr=0.157500, batch loss=0.281680, epoch loss=2.334838 Batch=719, step=10320, lr=0.157250, batch loss=0.285117, epoch loss=2.619955 Batch=779, step=10380, lr=0.157000, batch loss=0.295041, epoch loss=2.914996 Batch=839, step=10440, lr=0.156750, batch loss=0.273238, epoch loss=3.188234 Batch=899, step=10500, lr=0.156500, batch loss=0.235335, epoch loss=3.423569 Batch=959, step=10560, lr=0.156250, batch loss=0.182181, epoch loss=3.605750 Batch=1019, step=10620, lr=0.156000, batch loss=0.297045, epoch loss=3.902795 Batch=1079, step=10680, lr=0.155750, batch loss=0.177883, epoch loss=4.080678 Batch=1139, step=10740, lr=0.155500, batch loss=0.204808, epoch loss=4.285486 Batch=1199, step=10800, lr=0.155250, batch loss=0.154491, epoch loss=4.439978 Epoch=8, step=10800, lr=0.155250, epoch loss=4.439978 Batch=59, step=10860, lr=0.155000, batch loss=0.176899, epoch loss=0.176899 Batch=119, step=10920, lr=0.154750, batch loss=0.150967, epoch loss=0.327866 Batch=179, step=10980, lr=0.154500, batch loss=0.167355, epoch loss=0.495222 Batch=239, step=11040, lr=0.154250, batch loss=0.247437, epoch loss=0.742659 Batch=299, step=11100, lr=0.154000, batch loss=0.165355, epoch loss=0.908014 Batch=359, step=11160, lr=0.153750, batch loss=0.223306, epoch loss=1.131319 Batch=419, step=11220, lr=0.153500, batch loss=0.227531, epoch loss=1.358850 Batch=479, step=11280, lr=0.153250, batch loss=0.203492, epoch loss=1.562343 Batch=539, step=11340, lr=0.153000, batch loss=0.158311, epoch loss=1.720654 Batch=599, step=11400, lr=0.152750, batch loss=0.179427, epoch loss=1.900081 Batch=659, step=11460, lr=0.152500, batch loss=0.264386, epoch loss=2.164467 Batch=719, step=11520, lr=0.152250, batch loss=0.255621, epoch loss=2.420088 Batch=779, step=11580, lr=0.152000, batch loss=0.271675, epoch loss=2.691763 Batch=839, step=11640, lr=0.151750, batch loss=0.255149, epoch loss=2.946912 Batch=899, step=11700, lr=0.151500, batch loss=0.211950, epoch loss=3.158862 Batch=959, step=11760, lr=0.151250, batch loss=0.169085, epoch loss=3.327948 Batch=1019, step=11820, lr=0.151000, batch loss=0.263981, epoch loss=3.591929 Batch=1079, step=11880, lr=0.150750, batch loss=0.148217, epoch loss=3.740146 Batch=1139, step=11940, lr=0.150500, batch loss=0.186890, epoch loss=3.927036 Batch=1199, step=12000, lr=0.150250, batch loss=0.138704, epoch loss=4.065740 Epoch=9, step=12000, lr=0.150250, epoch loss=4.065740 Batch=59, step=12060, lr=0.150000, batch loss=0.157143, epoch loss=0.157143 Batch=119, step=12120, lr=0.149750, batch loss=0.127549, epoch loss=0.284692 Batch=179, step=12180, lr=0.149500, batch loss=0.151662, epoch loss=0.436354 Batch=239, step=12240, lr=0.149250, batch loss=0.218798, epoch loss=0.655152 Batch=299, step=12300, lr=0.149000, batch loss=0.139726, epoch loss=0.794877 Batch=359, step=12360, lr=0.148750, batch loss=0.196833, epoch loss=0.991710 Batch=419, step=12420, lr=0.148500, batch loss=0.213506, epoch loss=1.205216 Batch=479, step=12480, lr=0.148000, batch loss=0.171676, epoch loss=1.376893 Batch=539, step=12540, lr=0.148000, batch loss=0.145714, epoch loss=1.522607 Batch=599, step=12600, lr=0.147750, batch loss=0.154854, epoch loss=1.677461 Batch=659, step=12660, lr=0.147500, batch loss=0.232536, epoch loss=1.909996 Batch=719, step=12720, lr=0.147250, batch loss=0.224175, epoch loss=2.134172 Batch=779, step=12780, lr=0.147000, batch loss=0.236046, epoch loss=2.370217 Batch=839, step=12840, lr=0.146750, batch loss=0.229137, epoch loss=2.599354 Batch=899, step=12900, lr=0.146500, batch loss=0.215086, epoch loss=2.814441 Batch=959, step=12960, lr=0.146250, batch loss=0.158598, epoch loss=2.973038 Batch=1019, step=13020, lr=0.146000, batch loss=0.262143, epoch loss=3.235181 Batch=1079, step=13080, lr=0.145750, batch loss=0.112150, epoch loss=3.347331 Batch=1139, step=13140, lr=0.145500, batch loss=0.155952, epoch loss=3.503283 Batch=1199, step=13200, lr=0.145250, batch loss=0.117849, epoch loss=3.621132 Epoch=10, step=13200, lr=0.145250, epoch loss=3.621132 Batch=59, step=13260, lr=0.145000, batch loss=0.141503, epoch loss=0.141503 Batch=119, step=13320, lr=0.144750, batch loss=0.120024, epoch loss=0.261527 Batch=179, step=13380, lr=0.144500, batch loss=0.127928, epoch loss=0.389455 Batch=239, step=13440, lr=0.144250, batch loss=0.187394, epoch loss=0.576849 Batch=299, step=13500, lr=0.144000, batch loss=0.112715, epoch loss=0.689563 Batch=359, step=13560, lr=0.143500, batch loss=0.161050, epoch loss=0.850613 Batch=419, step=13620, lr=0.143500, batch loss=0.159536, epoch loss=1.010149 Batch=479, step=13680, lr=0.143250, batch loss=0.145303, epoch loss=1.155452 Batch=539, step=13740, lr=0.143000, batch loss=0.117115, epoch loss=1.272567 Batch=599, step=13800, lr=0.142750, batch loss=0.119561, epoch loss=1.392128 Batch=659, step=13860, lr=0.142500, batch loss=0.176290, epoch loss=1.568418 Batch=719, step=13920, lr=0.142250, batch loss=0.172707, epoch loss=1.741125 Batch=779, step=13980, lr=0.141750, batch loss=0.187010, epoch loss=1.928135 Batch=839, step=14040, lr=0.141750, batch loss=0.190774, epoch loss=2.118909 Batch=899, step=14100, lr=0.141500, batch loss=0.199862, epoch loss=2.318771 Batch=959, step=14160, lr=0.141250, batch loss=0.119797, epoch loss=2.438568 Batch=1019, step=14220, lr=0.141000, batch loss=0.201452, epoch loss=2.640020 Batch=1079, step=14280, lr=0.140750, batch loss=0.075796, epoch loss=2.715817 Batch=1139, step=14340, lr=0.140500, batch loss=0.121807, epoch loss=2.837624 Batch=1199, step=14400, lr=0.140250, batch loss=0.084764, epoch loss=2.922388 Epoch=11, step=14400, lr=0.140250, epoch loss=2.922388 Batch=59, step=14460, lr=0.140000, batch loss=0.108030, epoch loss=0.108030 Batch=119, step=14520, lr=0.139750, batch loss=0.103599, epoch loss=0.211629 Batch=179, step=14580, lr=0.139500, batch loss=0.099002, epoch loss=0.310631 Batch=239, step=14640, lr=0.139250, batch loss=0.142408, epoch loss=0.453040 Batch=299, step=14700, lr=0.139000, batch loss=0.073035, epoch loss=0.526075 Batch=359, step=14760, lr=0.138750, batch loss=0.122726, epoch loss=0.648801 Batch=419, step=14820, lr=0.138500, batch loss=0.135413, epoch loss=0.784214 Batch=479, step=14880, lr=0.138250, batch loss=0.092948, epoch loss=0.877162 Batch=539, step=14940, lr=0.138000, batch loss=0.085510, epoch loss=0.962672 Batch=599, step=15000, lr=0.137750, batch loss=0.085563, epoch loss=1.048235 Batch=659, step=15060, lr=0.137500, batch loss=0.140075, epoch loss=1.188310 Batch=719, step=15120, lr=0.137250, batch loss=0.172885, epoch loss=1.361194 Batch=779, step=15180, lr=0.137000, batch loss=0.348999, epoch loss=1.710193 Batch=839, step=15240, lr=0.136500, batch loss=0.133061, epoch loss=1.843254 Batch=899, step=15300, lr=0.136500, batch loss=0.114068, epoch loss=1.957323 Batch=959, step=15360, lr=0.136250, batch loss=0.096722, epoch loss=2.054045 Batch=1019, step=15420, lr=0.136000, batch loss=0.168248, epoch loss=2.222293 Batch=1079, step=15480, lr=0.135500, batch loss=0.037735, epoch loss=2.260028 Batch=1139, step=15540, lr=0.135500, batch loss=0.087663, epoch loss=2.347691 Batch=1199, step=15600, lr=0.135250, batch loss=0.056237, epoch loss=2.403929 Epoch=12, step=15600, lr=0.135250, epoch loss=2.403929 Batch=59, step=15660, lr=0.134750, batch loss=0.082339, epoch loss=0.082339 Batch=119, step=15720, lr=0.134750, batch loss=0.126087, epoch loss=0.208426 Batch=179, step=15780, lr=0.134500, batch loss=0.095184, epoch loss=0.303610 Batch=239, step=15840, lr=0.134250, batch loss=0.095787, epoch loss=0.399396 Batch=299, step=15900, lr=0.134000, batch loss=0.039169, epoch loss=0.438566 Batch=359, step=15960, lr=0.133750, batch loss=0.083297, epoch loss=0.521863 Batch=419, step=16020, lr=0.133250, batch loss=0.078691, epoch loss=0.600554 Batch=479, step=16080, lr=0.133250, batch loss=0.054573, epoch loss=0.655127 Batch=539, step=16140, lr=0.133000, batch loss=0.076570, epoch loss=0.731696 Batch=599, step=16200, lr=0.132750, batch loss=0.174699, epoch loss=0.906396 Batch=659, step=16260, lr=0.132500, batch loss=0.096322, epoch loss=1.002718 Batch=719, step=16320, lr=0.132250, batch loss=0.124230, epoch loss=1.126948 Batch=779, step=16380, lr=0.131750, batch loss=0.285667, epoch loss=1.412614 Batch=839, step=16440, lr=0.131750, batch loss=0.093069, epoch loss=1.505683 Batch=899, step=16500, lr=0.131500, batch loss=0.080956, epoch loss=1.586639 Batch=959, step=16560, lr=0.131250, batch loss=0.031501, epoch loss=1.618140 Batch=1019, step=16620, lr=0.131000, batch loss=0.061698, epoch loss=1.679838 Batch=1079, step=16680, lr=0.130500, batch loss=0.058489, epoch loss=1.738327 Batch=1139, step=16740, lr=0.130500, batch loss=0.104005, epoch loss=1.842332 Batch=1199, step=16800, lr=0.130000, batch loss=0.050055, epoch loss=1.892388 Epoch=13, step=16800, lr=0.130000, epoch loss=1.892388 Batch=59, step=16860, lr=0.130000, batch loss=0.035345, epoch loss=0.035345 Batch=119, step=16920, lr=0.129750, batch loss=0.035217, epoch loss=0.070562 Batch=179, step=16980, lr=0.129250, batch loss=0.044185, epoch loss=0.114747 Batch=239, step=17040, lr=0.129250, batch loss=0.059259, epoch loss=0.174006 Batch=299, step=17100, lr=0.128750, batch loss=0.018693, epoch loss=0.192699 Batch=359, step=17160, lr=0.128750, batch loss=0.042567, epoch loss=0.235267 Batch=419, step=17220, lr=0.128500, batch loss=0.044381, epoch loss=0.279647 Batch=479, step=17280, lr=0.128250, batch loss=0.023641, epoch loss=0.303288 Batch=539, step=17340, lr=0.127750, batch loss=0.028686, epoch loss=0.331974 Batch=599, step=17400, lr=0.127750, batch loss=0.034436, epoch loss=0.366411 Batch=659, step=17460, lr=0.127250, batch loss=0.045902, epoch loss=0.412313 Batch=719, step=17520, lr=0.127000, batch loss=0.044549, epoch loss=0.456862 Batch=779, step=17580, lr=0.127000, batch loss=0.088882, epoch loss=0.545744 Batch=839, step=17640, lr=0.126750, batch loss=0.227508, epoch loss=0.773252 Batch=899, step=17700, lr=0.126500, batch loss=0.052333, epoch loss=0.825585 Batch=959, step=17760, lr=0.126250, batch loss=0.024002, epoch loss=0.849587 Batch=1019, step=17820, lr=0.126000, batch loss=0.044181, epoch loss=0.893768 Batch=1079, step=17880, lr=0.125750, batch loss=0.022075, epoch loss=0.915842 Batch=1139, step=17940, lr=0.125500, batch loss=0.049667, epoch loss=0.965509 Batch=1199, step=18000, lr=0.125250, batch loss=0.021920, epoch loss=0.987429 Epoch=14, step=18000, lr=0.125250, epoch loss=0.987429 Batch=59, step=18060, lr=0.124750, batch loss=0.013150, epoch loss=0.013150 Batch=119, step=18120, lr=0.124750, batch loss=0.019447, epoch loss=0.032597 Batch=179, step=18180, lr=0.124500, batch loss=0.029046, epoch loss=0.061643 Batch=239, step=18240, lr=0.124250, batch loss=0.035642, epoch loss=0.097285 Batch=299, step=18300, lr=0.123750, batch loss=0.011460, epoch loss=0.108744 Batch=359, step=18360, lr=0.123750, batch loss=0.023849, epoch loss=0.132593 Batch=419, step=18420, lr=0.123500, batch loss=0.027124, epoch loss=0.159717 Batch=479, step=18480, lr=0.123250, batch loss=0.013468, epoch loss=0.173185 Batch=539, step=18540, lr=0.123000, batch loss=0.020391, epoch loss=0.193576 Batch=599, step=18600, lr=0.122750, batch loss=0.027076, epoch loss=0.220652 Batch=659, step=18660, lr=0.122500, batch loss=0.025217, epoch loss=0.245869 Batch=719, step=18720, lr=0.122250, batch loss=0.025141, epoch loss=0.271010 Batch=779, step=18780, lr=0.121750, batch loss=0.034345, epoch loss=0.305355 Batch=839, step=18840, lr=0.121750, batch loss=0.039496, epoch loss=0.344851 Batch=899, step=18900, lr=0.121500, batch loss=0.035804, epoch loss=0.380655 Batch=959, step=18960, lr=0.121000, batch loss=0.031739, epoch loss=0.412394 Batch=1019, step=19020, lr=0.120750, batch loss=0.059700, epoch loss=0.472094 Batch=1079, step=19080, lr=0.120750, batch loss=0.014996, epoch loss=0.487089 Batch=1139, step=19140, lr=0.120500, batch loss=0.023402, epoch loss=0.510491 Batch=1199, step=19200, lr=0.120250, batch loss=0.009664, epoch loss=0.520156 Epoch=15, step=19200, lr=0.120250, epoch loss=0.520156 Batch=59, step=19260, lr=0.120000, batch loss=0.005581, epoch loss=0.005581 Batch=119, step=19320, lr=0.119750, batch loss=0.021521, epoch loss=0.027102 Batch=179, step=19380, lr=0.119500, batch loss=0.061347, epoch loss=0.088449 Batch=239, step=19440, lr=0.119250, batch loss=0.025204, epoch loss=0.113652 Batch=299, step=19500, lr=0.118750, batch loss=0.018485, epoch loss=0.132137 Batch=359, step=19560, lr=0.118750, batch loss=0.034220, epoch loss=0.166357 Batch=419, step=19620, lr=0.118500, batch loss=0.021017, epoch loss=0.187374 Batch=479, step=19680, lr=0.118250, batch loss=0.007131, epoch loss=0.194505 Batch=539, step=19740, lr=0.118000, batch loss=0.025852, epoch loss=0.220357 Batch=599, step=19800, lr=0.117500, batch loss=0.029571, epoch loss=0.249927 Batch=659, step=19860, lr=0.117500, batch loss=0.018163, epoch loss=0.268090 Batch=719, step=19920, lr=0.117250, batch loss=0.038797, epoch loss=0.306887 Batch=779, step=19980, lr=0.117000, batch loss=0.082359, epoch loss=0.389246 Batch=839, step=20040, lr=0.116750, batch loss=0.031024, epoch loss=0.420270 Batch=899, step=20100, lr=0.116500, batch loss=0.034939, epoch loss=0.455209 Batch=959, step=20160, lr=0.116250, batch loss=0.011383, epoch loss=0.466592 Batch=1019, step=20220, lr=0.116000, batch loss=0.013842, epoch loss=0.480434 Batch=1079, step=20280, lr=0.115750, batch loss=0.003251, epoch loss=0.483685 Batch=1139, step=20340, lr=0.115500, batch loss=0.017365, epoch loss=0.501050 Batch=1199, step=20400, lr=0.115250, batch loss=0.007358, epoch loss=0.508408 Epoch=16, step=20400, lr=0.115250, epoch loss=0.508408 Batch=59, step=20460, lr=0.115000, batch loss=0.003329, epoch loss=0.003329 Batch=119, step=20520, lr=0.114750, batch loss=0.008945, epoch loss=0.012274 Batch=179, step=20580, lr=0.114500, batch loss=0.020939, epoch loss=0.033212 Batch=239, step=20640, lr=0.114250, batch loss=0.019914, epoch loss=0.053127 Batch=299, step=20700, lr=0.114000, batch loss=0.010834, epoch loss=0.063961 Batch=359, step=20760, lr=0.113750, batch loss=0.015051, epoch loss=0.079011 Batch=419, step=20820, lr=0.113500, batch loss=0.015388, epoch loss=0.094399 Batch=479, step=20880, lr=0.113250, batch loss=0.003883, epoch loss=0.098282 Batch=539, step=20940, lr=0.113000, batch loss=0.015966, epoch loss=0.114248 Batch=599, step=21000, lr=0.112750, batch loss=0.018412, epoch loss=0.132661 Batch=659, step=21060, lr=0.112500, batch loss=0.013666, epoch loss=0.146327 Batch=719, step=21120, lr=0.112250, batch loss=0.029361, epoch loss=0.175688 Batch=779, step=21180, lr=0.112000, batch loss=0.046567, epoch loss=0.222255 Batch=839, step=21240, lr=0.111750, batch loss=0.028993, epoch loss=0.251249 Batch=899, step=21300, lr=0.111500, batch loss=0.034567, epoch loss=0.285815 Batch=959, step=21360, lr=0.111250, batch loss=0.010482, epoch loss=0.296297 Batch=1019, step=21420, lr=0.111000, batch loss=0.013297, epoch loss=0.309594 Batch=1079, step=21480, lr=0.110750, batch loss=0.002180, epoch loss=0.311774 Batch=1139, step=21540, lr=0.110500, batch loss=0.012028, epoch loss=0.323802 Batch=1199, step=21600, lr=0.110250, batch loss=0.004665, epoch loss=0.328467 Epoch=17, step=21600, lr=0.110250, epoch loss=0.328467 Batch=59, step=21660, lr=0.110000, batch loss=0.002139, epoch loss=0.002139 Batch=119, step=21720, lr=0.109750, batch loss=0.007240, epoch loss=0.009379 Batch=179, step=21780, lr=0.109500, batch loss=0.012184, epoch loss=0.021563 Batch=239, step=21840, lr=0.109250, batch loss=0.010184, epoch loss=0.031747 Batch=299, step=21900, lr=0.109000, batch loss=0.002420, epoch loss=0.034167 Batch=359, step=21960, lr=0.108750, batch loss=0.011895, epoch loss=0.046062 Batch=419, step=22020, lr=0.108500, batch loss=0.012814, epoch loss=0.058876 Batch=479, step=22080, lr=0.108250, batch loss=0.003380, epoch loss=0.062256 Batch=539, step=22140, lr=0.108000, batch loss=0.017275, epoch loss=0.079530 Batch=599, step=22200, lr=0.107750, batch loss=0.015567, epoch loss=0.095097 Batch=659, step=22260, lr=0.107500, batch loss=0.011792, epoch loss=0.106889 Batch=719, step=22320, lr=0.107250, batch loss=0.018489, epoch loss=0.125378 Batch=779, step=22380, lr=0.107000, batch loss=0.022725, epoch loss=0.148103 Batch=839, step=22440, lr=0.106750, batch loss=0.025321, epoch loss=0.173424 Batch=899, step=22500, lr=0.106500, batch loss=0.028697, epoch loss=0.202121 Batch=959, step=22560, lr=0.106250, batch loss=0.008971, epoch loss=0.211092 Batch=1019, step=22620, lr=0.106000, batch loss=0.009134, epoch loss=0.220226 Batch=1079, step=22680, lr=0.105750, batch loss=0.001868, epoch loss=0.222094 Batch=1139, step=22740, lr=0.105500, batch loss=0.010644, epoch loss=0.232739 Batch=1199, step=22800, lr=0.105250, batch loss=0.005081, epoch loss=0.237819 Epoch=18, step=22800, lr=0.105250, epoch loss=0.237819 Batch=59, step=22860, lr=0.105000, batch loss=0.002466, epoch loss=0.002466 Batch=119, step=22920, lr=0.104750, batch loss=0.004713, epoch loss=0.007179 Batch=179, step=22980, lr=0.104500, batch loss=0.012499, epoch loss=0.019678 Batch=239, step=23040, lr=0.104250, batch loss=0.010632, epoch loss=0.030310 Batch=299, step=23100, lr=0.104000, batch loss=0.000932, epoch loss=0.031242 Batch=359, step=23160, lr=0.103750, batch loss=0.011028, epoch loss=0.042270 Batch=419, step=23220, lr=0.103500, batch loss=0.009533, epoch loss=0.051802 Batch=479, step=23280, lr=0.103250, batch loss=0.002042, epoch loss=0.053844 Batch=539, step=23340, lr=0.103000, batch loss=0.016641, epoch loss=0.070486 Batch=599, step=23400, lr=0.102750, batch loss=0.015351, epoch loss=0.085837 Batch=659, step=23460, lr=0.102500, batch loss=0.011298, epoch loss=0.097136 Batch=719, step=23520, lr=0.102250, batch loss=0.014661, epoch loss=0.111797 Batch=779, step=23580, lr=0.102000, batch loss=0.023206, epoch loss=0.135003 Batch=839, step=23640, lr=0.101750, batch loss=0.024362, epoch loss=0.159365 Batch=899, step=23700, lr=0.101500, batch loss=0.023149, epoch loss=0.182514 Batch=959, step=23760, lr=0.101250, batch loss=0.008156, epoch loss=0.190670 Batch=1019, step=23820, lr=0.101000, batch loss=0.007632, epoch loss=0.198303 Batch=1079, step=23880, lr=0.100750, batch loss=0.000792, epoch loss=0.199094 Batch=1139, step=23940, lr=0.100500, batch loss=0.008698, epoch loss=0.207792 Batch=1199, step=24000, lr=0.100250, batch loss=0.004379, epoch loss=0.212171 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212171 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ 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│#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-15 13:59.32: Job failed: Failed: Build failed