2025-05-20 15:37.45: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0c149bf3ecd92e734e4ff83fd0bdeb75f6d733c8) (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 0c149bf3 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 2025-05-20 15:37.45: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-20 15:37.45: 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")) ) 2025-05-20 15:37.45: Waiting for resource in pool OCluster 2025-05-20 15:37.45: Waiting for worker… 2025-05-20 15:39.27: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 0c149bf3 New executable read_config, and finally a better logging test setup with per-backend targets; important: test/ocannl_config -> test/config/ocannl_config (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-20 15:39.28 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache /: (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")) 2025-05-20 15:39.28 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-20 15:39.28 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" from cache /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 2025-05-20 15:39.28 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-20 15:39.28 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache /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..55711315d0 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) 2025-05-20 15:40.14 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-20 15:40.14 ---> 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) 2025-05-20 15:40.22 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-20 15:40.22 ---> 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 - v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8637-g78d078e426d [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8640-g4d499935eef [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8614-gceaa4b3d2e1 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58258 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 2025-05-20 15:40.52 ---> 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_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 ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> 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 csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed 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 dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed ctypes.0.23.0 -> 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 variantslib.v0.17.0 -> installed fieldslib.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_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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) 2025-05-20 15:42.54 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" /src: (copy (src .) (dst /src)) 2025-05-20 15:42.55 ---> saved as "25639ba1f46952ef3a79fcc6d6b3658628e527960cbd59e6b117e90c443b34f0" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt File "test/dune", lines 42-57, characters 0-506: 42 | (rule 43 | (target "%{read:config/ocannl_backend.txt}-0-0.log.actual") 44 | (action .... 55 | "\\1[0]{=MAYBE UNINITIALIZED} = " 56 | "%{read:config/ocannl_backend.txt}-0-0.log.actual" 57 | "%{read:config/ocannl_backend.txt}-0-0.log.actual")))) (cd _build/default/test && ../tools/minised.exe 0x[0-9a-f]+ 0xNNNN log_files/multicore_cc-0-0.log multicore_cc-0-0.log.actual) Fatal error: exception Sys_error("log_files/multicore_cc-0-0.log: No such file or directory") (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/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2958f79c83813d5007627c1116e3a503/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184250, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314108, epoch loss=0.943160 Batch=299, step=3900, lr=0.184000, batch loss=0.206002, epoch loss=1.149162 Batch=359, step=3960, lr=0.183750, batch loss=0.291264, epoch loss=1.440426 Batch=419, step=4020, lr=0.183500, batch loss=0.297429, epoch loss=1.737855 Batch=479, step=4080, lr=0.183250, batch loss=0.260514, epoch loss=1.998369 Batch=539, step=4140, lr=0.183000, batch loss=0.195225, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230399, epoch loss=2.423993 Batch=659, step=4260, lr=0.182500, batch loss=0.337129, epoch loss=2.761122 Batch=719, step=4320, lr=0.182250, batch loss=0.347132, epoch loss=3.108254 Batch=779, step=4380, lr=0.182000, batch loss=0.346318, epoch loss=3.454572 Batch=839, step=4440, lr=0.181750, batch loss=0.317776, epoch loss=3.772348 Batch=899, step=4500, lr=0.181500, batch loss=0.283902, epoch loss=4.056250 Batch=959, step=4560, lr=0.181250, batch loss=0.238378, epoch loss=4.294627 Batch=1019, step=4620, lr=0.181000, batch loss=0.336881, epoch loss=4.631509 Batch=1079, step=4680, lr=0.180750, batch loss=0.208597, epoch loss=4.840106 Batch=1139, step=4740, lr=0.180500, batch loss=0.249205, epoch loss=5.089312 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281080 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281080 Batch=59, step=4860, lr=0.180000, batch loss=0.228084, epoch loss=0.228084 Batch=119, step=4920, lr=0.179750, batch loss=0.190215, epoch loss=0.418299 Batch=179, step=4980, lr=0.179500, batch loss=0.205907, epoch loss=0.624206 Batch=239, step=5040, lr=0.179250, batch loss=0.309072, epoch loss=0.933278 Batch=299, step=5100, lr=0.179000, batch loss=0.204585, epoch loss=1.137863 Batch=359, step=5160, lr=0.178750, batch loss=0.271145, epoch loss=1.409008 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673063 Batch=479, step=5280, lr=0.178250, batch loss=0.239694, epoch loss=1.912757 Batch=539, step=5340, lr=0.178000, batch loss=0.189441, epoch loss=2.102198 Batch=599, step=5400, lr=0.177750, batch loss=0.231023, epoch loss=2.333220 Batch=659, step=5460, lr=0.177500, batch loss=0.323593, epoch loss=2.656813 Batch=719, step=5520, lr=0.177250, batch loss=0.325874, epoch loss=2.982687 Batch=779, step=5580, lr=0.177000, batch loss=0.343177, epoch loss=3.325864 Batch=839, step=5640, lr=0.176750, batch loss=0.309350, epoch loss=3.635214 Batch=899, step=5700, lr=0.176500, batch loss=0.273167, epoch loss=3.908381 Batch=959, step=5760, lr=0.176250, batch loss=0.214927, epoch loss=4.123308 Batch=1019, step=5820, lr=0.176000, batch loss=0.339139, epoch loss=4.462447 Batch=1079, step=5880, lr=0.175750, batch loss=0.207833, epoch loss=4.670280 Batch=1139, step=5940, lr=0.175500, batch loss=0.240049, epoch loss=4.910330 Batch=1199, step=6000, lr=0.175250, batch loss=0.186861, epoch loss=5.097190 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097190 Batch=59, step=6060, lr=0.175000, batch loss=0.230534, epoch loss=0.230534 Batch=119, step=6120, lr=0.174750, batch loss=0.194285, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201543, epoch loss=0.626363 Batch=239, step=6240, lr=0.174250, batch loss=0.302387, epoch loss=0.928750 Batch=299, step=6300, lr=0.174000, batch loss=0.203922, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266122, epoch loss=1.398793 Batch=419, step=6420, lr=0.173500, batch loss=0.265280, epoch loss=1.664073 Batch=479, step=6480, lr=0.173250, batch loss=0.243322, epoch loss=1.907395 Batch=539, step=6540, lr=0.173000, batch loss=0.192962, epoch loss=2.100357 Batch=599, step=6600, lr=0.172750, batch loss=0.234504, epoch loss=2.334861 Batch=659, step=6660, lr=0.172500, batch loss=0.312110, epoch loss=2.646971 Batch=719, step=6720, lr=0.172250, batch loss=0.314228, epoch loss=2.961199 Batch=779, step=6780, lr=0.172000, batch loss=0.333221, epoch loss=3.294420 Batch=839, step=6840, lr=0.171750, batch loss=0.303763, epoch loss=3.598183 Batch=899, step=6900, lr=0.171500, batch loss=0.268464, epoch loss=3.866647 Batch=959, step=6960, lr=0.171250, batch loss=0.211046, epoch loss=4.077694 Batch=1019, step=7020, lr=0.171000, batch loss=0.330452, epoch loss=4.408145 Batch=1079, step=7080, lr=0.170750, batch loss=0.180869, epoch loss=4.589015 Batch=1139, step=7140, lr=0.170500, batch loss=0.216311, epoch loss=4.805325 Batch=1199, step=7200, lr=0.170250, batch loss=0.181909, epoch loss=4.987234 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987234 Batch=59, step=7260, lr=0.170000, batch loss=0.232883, epoch loss=0.232883 Batch=119, step=7320, lr=0.169750, batch loss=0.184419, epoch loss=0.417303 Batch=179, step=7380, lr=0.169500, batch loss=0.196294, epoch loss=0.613596 Batch=239, step=7440, lr=0.169250, batch loss=0.290830, epoch loss=0.904427 Batch=299, step=7500, lr=0.169000, batch loss=0.200828, epoch loss=1.105254 Batch=359, step=7560, lr=0.168750, batch loss=0.258443, epoch loss=1.363697 Batch=419, step=7620, lr=0.168500, batch loss=0.256806, epoch loss=1.620503 Batch=479, step=7680, lr=0.168250, batch loss=0.236002, epoch loss=1.856505 Batch=539, step=7740, lr=0.168000, batch loss=0.187889, epoch loss=2.044394 Batch=599, step=7800, lr=0.167750, batch loss=0.223928, epoch loss=2.268322 Batch=659, step=7860, lr=0.167500, batch loss=0.305916, epoch loss=2.574238 Batch=719, step=7920, lr=0.167250, batch loss=0.309299, epoch loss=2.883537 Batch=779, step=7980, lr=0.167000, batch loss=0.329939, epoch loss=3.213476 Batch=839, step=8040, lr=0.166750, batch loss=0.292431, epoch loss=3.505907 Batch=899, step=8100, lr=0.166500, batch loss=0.261773, epoch loss=3.767680 Batch=959, step=8160, lr=0.166250, batch loss=0.193302, epoch loss=3.960982 Batch=1019, step=8220, lr=0.166000, batch loss=0.314023, epoch loss=4.275005 Batch=1079, step=8280, lr=0.165750, batch loss=0.172104, epoch loss=4.447109 Batch=1139, step=8340, lr=0.165500, batch loss=0.209739, epoch loss=4.656848 Batch=1199, step=8400, lr=0.165250, batch loss=0.178271, epoch loss=4.835119 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835119 Batch=59, step=8460, lr=0.165000, batch loss=0.229733, epoch loss=0.229733 Batch=119, step=8520, lr=0.164750, batch loss=0.175013, epoch loss=0.404746 Batch=179, step=8580, lr=0.164500, batch loss=0.187818, epoch loss=0.592564 Batch=239, step=8640, lr=0.164250, batch loss=0.278210, epoch loss=0.870774 Batch=299, step=8700, lr=0.164000, batch loss=0.191984, epoch loss=1.062758 Batch=359, step=8760, lr=0.163750, batch loss=0.248641, epoch loss=1.311400 Batch=419, step=8820, lr=0.163500, batch loss=0.245597, epoch loss=1.556996 Batch=479, step=8880, lr=0.163250, batch loss=0.228597, epoch loss=1.785593 Batch=539, step=8940, lr=0.163000, batch loss=0.178125, epoch loss=1.963718 Batch=599, step=9000, lr=0.162750, batch loss=0.217395, epoch loss=2.181114 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475927 Batch=719, step=9120, lr=0.162250, batch loss=0.296445, epoch loss=2.772372 Batch=779, step=9180, lr=0.162000, batch loss=0.316722, epoch loss=3.089095 Batch=839, step=9240, lr=0.161750, batch loss=0.287252, epoch loss=3.376346 Batch=899, step=9300, lr=0.161500, batch loss=0.251056, epoch loss=3.627402 Batch=959, step=9360, lr=0.161250, batch loss=0.190544, epoch loss=3.817947 Batch=1019, step=9420, lr=0.160750, batch loss=0.311712, epoch loss=4.129659 Batch=1079, step=9480, lr=0.160750, batch loss=0.191246, epoch loss=4.320904 Batch=1139, step=9540, lr=0.160500, batch loss=0.215972, epoch loss=4.536876 Batch=1199, step=9600, lr=0.160250, batch loss=0.165633, epoch loss=4.702509 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702509 Batch=59, step=9660, lr=0.160000, batch loss=0.197039, epoch loss=0.197039 Batch=119, step=9720, lr=0.159750, batch loss=0.165600, epoch loss=0.362639 Batch=179, step=9780, lr=0.159500, batch loss=0.179305, epoch loss=0.541944 Batch=239, step=9840, lr=0.159250, batch loss=0.263747, epoch loss=0.805692 Batch=299, step=9900, lr=0.159000, batch loss=0.182407, epoch loss=0.988099 Batch=359, step=9960, lr=0.158750, batch loss=0.240655, epoch loss=1.228755 Batch=419, step=10020, lr=0.158500, batch loss=0.233015, epoch loss=1.461770 Batch=479, step=10080, lr=0.158250, batch loss=0.212925, epoch loss=1.674695 Batch=539, step=10140, lr=0.158000, batch loss=0.170844, epoch loss=1.845538 Batch=599, step=10200, lr=0.157750, batch loss=0.200083, epoch loss=2.045622 Batch=659, step=10260, lr=0.157500, batch loss=0.283157, epoch loss=2.328779 Batch=719, step=10320, lr=0.157250, batch loss=0.288611, epoch loss=2.617390 Batch=779, step=10380, lr=0.157000, batch loss=0.297018, epoch loss=2.914408 Batch=839, step=10440, lr=0.156750, batch loss=0.267556, epoch loss=3.181964 Batch=899, step=10500, lr=0.156500, batch loss=0.242868, epoch loss=3.424832 Batch=959, step=10560, lr=0.156250, batch loss=0.198423, epoch loss=3.623255 Batch=1019, step=10620, lr=0.156000, batch loss=0.295455, epoch loss=3.918710 Batch=1079, step=10680, lr=0.155750, batch loss=0.178342, epoch loss=4.097052 Batch=1139, step=10740, lr=0.155500, batch loss=0.205640, epoch loss=4.302692 Batch=1199, step=10800, lr=0.155250, batch loss=0.156099, epoch loss=4.458791 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458791 Batch=59, step=10860, lr=0.155000, batch loss=0.177289, epoch loss=0.177289 Batch=119, step=10920, lr=0.154750, batch loss=0.152494, epoch loss=0.329783 Batch=179, step=10980, lr=0.154500, batch loss=0.167110, epoch loss=0.496894 Batch=239, step=11040, lr=0.154250, batch loss=0.242549, epoch loss=0.739443 Batch=299, step=11100, lr=0.154000, batch loss=0.170181, epoch loss=0.909623 Batch=359, step=11160, lr=0.153750, batch loss=0.221941, epoch loss=1.131565 Batch=419, step=11220, lr=0.153500, batch loss=0.229434, epoch loss=1.360999 Batch=479, step=11280, lr=0.153250, batch loss=0.202712, epoch loss=1.563710 Batch=539, step=11340, lr=0.153000, batch loss=0.159252, epoch loss=1.722962 Batch=599, step=11400, lr=0.152750, batch loss=0.178347, epoch loss=1.901309 Batch=659, step=11460, lr=0.152500, batch loss=0.264857, epoch loss=2.166166 Batch=719, step=11520, lr=0.152250, batch loss=0.256810, epoch loss=2.422976 Batch=779, step=11580, lr=0.152000, batch loss=0.273470, epoch loss=2.696446 Batch=839, step=11640, lr=0.151750, batch loss=0.255668, epoch loss=2.952115 Batch=899, step=11700, lr=0.151500, batch loss=0.213058, epoch loss=3.165173 Batch=959, step=11760, lr=0.151250, batch loss=0.167954, epoch loss=3.333127 Batch=1019, step=11820, lr=0.151000, batch loss=0.266349, epoch loss=3.599476 Batch=1079, step=11880, lr=0.150750, batch loss=0.149465, epoch loss=3.748940 Batch=1139, step=11940, lr=0.150500, batch loss=0.185734, epoch loss=3.934674 Batch=1199, step=12000, lr=0.150250, batch loss=0.139448, epoch loss=4.074122 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074122 Batch=59, step=12060, lr=0.150000, batch loss=0.157926, epoch loss=0.157926 Batch=119, step=12120, lr=0.149750, batch loss=0.128911, epoch loss=0.286838 Batch=179, step=12180, lr=0.149500, batch loss=0.150447, epoch loss=0.437284 Batch=239, step=12240, lr=0.149250, batch loss=0.223177, epoch loss=0.660461 Batch=299, step=12300, lr=0.149000, batch loss=0.142774, epoch loss=0.803235 Batch=359, step=12360, lr=0.148750, batch loss=0.195266, epoch loss=0.998501 Batch=419, step=12420, lr=0.148500, batch loss=0.206382, epoch loss=1.204883 Batch=479, step=12480, lr=0.148250, batch loss=0.178604, epoch loss=1.383487 Batch=539, step=12540, lr=0.148000, batch loss=0.142696, epoch loss=1.526182 Batch=599, step=12600, lr=0.147750, batch loss=0.150359, epoch loss=1.676541 Batch=659, step=12660, lr=0.147500, batch loss=0.224988, epoch loss=1.901529 Batch=719, step=12720, lr=0.147250, batch loss=0.235153, epoch loss=2.136682 Batch=779, step=12780, lr=0.147000, batch loss=0.252840, epoch loss=2.389522 Batch=839, step=12840, lr=0.146750, batch loss=0.224872, epoch loss=2.614394 Batch=899, step=12900, lr=0.146500, batch loss=0.185406, epoch loss=2.799799 Batch=959, step=12960, lr=0.146250, batch loss=0.148735, epoch loss=2.948534 Batch=1019, step=13020, lr=0.146000, batch loss=0.268276, epoch loss=3.216810 Batch=1079, step=13080, lr=0.145750, batch loss=0.115148, epoch loss=3.331958 Batch=1139, step=13140, lr=0.145500, batch loss=0.155510, epoch loss=3.487468 Batch=1199, step=13200, lr=0.145250, batch loss=0.118536, epoch loss=3.606005 Epoch=10, step=13200, lr=0.145250, epoch loss=3.606005 Batch=59, step=13260, lr=0.145000, batch loss=0.143236, epoch loss=0.143236 Batch=119, step=13320, lr=0.144750, batch loss=0.119798, epoch loss=0.263034 Batch=179, step=13380, lr=0.144500, batch loss=0.127210, epoch loss=0.390244 Batch=239, step=13440, lr=0.144250, batch loss=0.186722, epoch loss=0.576967 Batch=299, step=13500, lr=0.144000, batch loss=0.112856, epoch loss=0.689823 Batch=359, step=13560, lr=0.143750, batch loss=0.161491, epoch loss=0.851314 Batch=419, step=13620, lr=0.143500, batch loss=0.160685, epoch loss=1.012000 Batch=479, step=13680, lr=0.143250, batch loss=0.147204, epoch loss=1.159204 Batch=539, step=13740, lr=0.143000, batch loss=0.118143, epoch loss=1.277347 Batch=599, step=13800, lr=0.142750, batch loss=0.119973, epoch loss=1.397320 Batch=659, step=13860, lr=0.142500, batch loss=0.174570, epoch loss=1.571891 Batch=719, step=13920, lr=0.142250, batch loss=0.177134, epoch loss=1.749025 Batch=779, step=13980, lr=0.142000, batch loss=0.196835, epoch loss=1.945860 Batch=839, step=14040, lr=0.141750, batch loss=0.192712, epoch loss=2.138572 Batch=899, step=14100, lr=0.141500, batch loss=0.208067, epoch loss=2.346639 Batch=959, step=14160, lr=0.141250, batch loss=0.106210, epoch loss=2.452849 Batch=1019, step=14220, lr=0.141000, batch loss=0.190772, epoch loss=2.643621 Batch=1079, step=14280, lr=0.140750, batch loss=0.082299, epoch loss=2.725920 Batch=1139, step=14340, lr=0.140500, batch loss=0.134471, epoch loss=2.860391 Batch=1199, step=14400, lr=0.140250, batch loss=0.087210, epoch loss=2.947601 Epoch=11, step=14400, lr=0.140250, epoch loss=2.947601 Batch=59, step=14460, lr=0.140000, batch loss=0.102506, epoch loss=0.102506 Batch=119, step=14520, lr=0.139750, batch loss=0.099985, epoch loss=0.202491 Batch=179, step=14580, lr=0.139500, batch loss=0.098669, epoch loss=0.301160 Batch=239, step=14640, lr=0.139250, batch loss=0.143288, epoch loss=0.444449 Batch=299, step=14700, lr=0.139000, batch loss=0.086898, epoch loss=0.531347 Batch=359, step=14760, lr=0.138750, batch loss=0.147858, epoch loss=0.679205 Batch=419, step=14820, lr=0.138500, batch loss=0.208232, epoch loss=0.887437 Batch=479, step=14880, lr=0.138250, batch loss=0.090914, epoch loss=0.978351 Batch=539, step=14940, lr=0.138000, batch loss=0.071876, epoch loss=1.050227 Batch=599, step=15000, lr=0.137750, batch loss=0.099102, epoch loss=1.149329 Batch=659, step=15060, lr=0.137500, batch loss=0.129949, epoch loss=1.279278 Batch=719, step=15120, lr=0.137250, batch loss=0.121040, epoch loss=1.400318 Batch=779, step=15180, lr=0.137000, batch loss=0.136138, epoch loss=1.536456 Batch=839, step=15240, lr=0.136750, batch loss=0.157416, epoch loss=1.693872 Batch=899, step=15300, lr=0.136500, batch loss=0.222952, epoch loss=1.916824 Batch=959, step=15360, lr=0.136250, batch loss=0.056856, epoch loss=1.973679 Batch=1019, step=15420, lr=0.136000, batch loss=0.135980, epoch loss=2.109659 Batch=1079, step=15480, lr=0.135750, batch loss=0.050665, epoch loss=2.160324 Batch=1139, step=15540, lr=0.135500, batch loss=0.109195, epoch loss=2.269519 Batch=1199, step=15600, lr=0.135250, batch loss=0.059892, epoch loss=2.329411 Epoch=12, step=15600, lr=0.135250, epoch loss=2.329411 Batch=59, step=15660, lr=0.135000, batch loss=0.083847, epoch loss=0.083847 Batch=119, step=15720, lr=0.134750, batch loss=0.128667, epoch loss=0.212514 Batch=179, step=15780, lr=0.134500, batch loss=0.094162, epoch loss=0.306675 Batch=239, step=15840, lr=0.134250, batch loss=0.094674, epoch loss=0.401349 Batch=299, step=15900, lr=0.134000, batch loss=0.039526, epoch loss=0.440876 Batch=359, step=15960, lr=0.133750, batch loss=0.082832, epoch loss=0.523708 Batch=419, step=16020, lr=0.133500, batch loss=0.078584, epoch loss=0.602292 Batch=479, step=16080, lr=0.133250, batch loss=0.061043, epoch loss=0.663335 Batch=539, step=16140, lr=0.133000, batch loss=0.058060, epoch loss=0.721395 Batch=599, step=16200, lr=0.132750, batch loss=0.121319, epoch loss=0.842714 Batch=659, step=16260, lr=0.132500, batch loss=0.083364, epoch loss=0.926078 Batch=719, step=16320, lr=0.132250, batch loss=0.120491, epoch loss=1.046569 Batch=779, step=16380, lr=0.132000, batch loss=0.261022, epoch loss=1.307591 Batch=839, step=16440, lr=0.131750, batch loss=0.088218, epoch loss=1.395809 Batch=899, step=16500, lr=0.131500, batch loss=0.077028, epoch loss=1.472838 Batch=959, step=16560, lr=0.131250, batch loss=0.048003, epoch loss=1.520840 Batch=1019, step=16620, lr=0.131000, batch loss=0.132448, epoch loss=1.653288 Batch=1079, step=16680, lr=0.130750, batch loss=0.021398, epoch loss=1.674686 Batch=1139, step=16740, lr=0.130500, batch loss=0.046371, epoch loss=1.721057 Batch=1199, step=16800, lr=0.130250, batch loss=0.026627, epoch loss=1.747684 Epoch=13, step=16800, lr=0.130250, epoch loss=1.747684 Batch=59, step=16860, lr=0.130000, batch loss=0.038170, epoch loss=0.038170 Batch=119, step=16920, lr=0.129750, batch loss=0.053487, epoch loss=0.091657 Batch=179, step=16980, lr=0.129500, batch loss=0.051395, epoch loss=0.143053 Batch=239, step=17040, lr=0.129250, batch loss=0.068191, epoch loss=0.211243 Batch=299, step=17100, lr=0.129000, batch loss=0.035191, epoch loss=0.246435 Batch=359, step=17160, lr=0.128750, batch loss=0.049753, epoch loss=0.296188 Batch=419, step=17220, lr=0.128500, batch loss=0.076200, epoch loss=0.372387 Batch=479, step=17280, lr=0.128250, batch loss=0.022810, epoch loss=0.395197 Batch=539, step=17340, lr=0.128000, batch loss=0.029694, epoch loss=0.424891 Batch=599, step=17400, lr=0.127750, batch loss=0.043777, epoch loss=0.468667 Batch=659, step=17460, lr=0.127500, batch loss=0.051651, epoch loss=0.520318 Batch=719, step=17520, lr=0.127250, batch loss=0.063927, epoch loss=0.584246 Batch=779, step=17580, lr=0.127000, batch loss=0.065256, epoch loss=0.649502 Batch=839, step=17640, lr=0.126750, batch loss=0.100821, epoch loss=0.750323 Batch=899, step=17700, lr=0.126500, batch loss=0.048950, epoch loss=0.799273 Batch=959, step=17760, lr=0.126250, batch loss=0.018991, epoch loss=0.818264 Batch=1019, step=17820, lr=0.126000, batch loss=0.053137, epoch loss=0.871401 Batch=1079, step=17880, lr=0.125750, batch loss=0.044582, epoch loss=0.915983 Batch=1139, step=17940, lr=0.125500, batch loss=0.079471, epoch loss=0.995454 Batch=1199, step=18000, lr=0.125250, batch loss=0.024344, epoch loss=1.019798 Epoch=14, step=18000, lr=0.125250, epoch loss=1.019798 Batch=59, step=18060, lr=0.125000, batch loss=0.016634, epoch loss=0.016634 Batch=119, step=18120, lr=0.124750, batch loss=0.019359, epoch loss=0.035992 Batch=179, step=18180, lr=0.124500, batch loss=0.030192, epoch loss=0.066184 Batch=239, step=18240, lr=0.124250, batch loss=0.037355, epoch loss=0.103539 Batch=299, step=18300, lr=0.124000, batch loss=0.010289, epoch loss=0.113828 Batch=359, step=18360, lr=0.123750, batch loss=0.024642, epoch loss=0.138471 Batch=419, step=18420, lr=0.123500, batch loss=0.032165, epoch loss=0.170636 Batch=479, step=18480, lr=0.123250, batch loss=0.027718, epoch loss=0.198354 Batch=539, step=18540, lr=0.123000, batch loss=0.054991, epoch loss=0.253344 Batch=599, step=18600, lr=0.122750, batch loss=0.027198, epoch loss=0.280542 Batch=659, step=18660, lr=0.122500, batch loss=0.032806, epoch loss=0.313348 Batch=719, step=18720, lr=0.122250, batch loss=0.031271, epoch loss=0.344618 Batch=779, step=18780, lr=0.122000, batch loss=0.084657, epoch loss=0.429276 Batch=839, step=18840, lr=0.121750, batch loss=0.055584, epoch loss=0.484860 Batch=899, step=18900, lr=0.121500, batch loss=0.056183, epoch loss=0.541043 Batch=959, step=18960, lr=0.121250, batch loss=0.014211, epoch loss=0.555254 Batch=1019, step=19020, lr=0.121000, batch loss=0.023673, epoch loss=0.578927 Batch=1079, step=19080, lr=0.120750, batch loss=0.008897, epoch loss=0.587824 Batch=1139, step=19140, lr=0.120500, batch loss=0.023396, epoch loss=0.611220 Batch=1199, step=19200, lr=0.120250, batch loss=0.009493, epoch loss=0.620713 Epoch=15, step=19200, lr=0.120250, epoch loss=0.620713 Batch=59, step=19260, lr=0.120000, batch loss=0.004576, epoch loss=0.004576 Batch=119, step=19320, lr=0.119750, batch loss=0.021245, epoch loss=0.025821 Batch=179, step=19380, lr=0.119500, batch loss=0.068654, epoch loss=0.094475 Batch=239, step=19440, lr=0.119250, batch loss=0.027677, epoch loss=0.122152 Batch=299, step=19500, lr=0.119000, batch loss=0.012428, epoch loss=0.134580 Batch=359, step=19560, lr=0.118750, batch loss=0.023817, epoch loss=0.158397 Batch=419, step=19620, lr=0.118500, batch loss=0.020719, epoch loss=0.179116 Batch=479, step=19680, lr=0.118250, batch loss=0.007257, epoch loss=0.186373 Batch=539, step=19740, lr=0.118000, batch loss=0.016954, epoch loss=0.203327 Batch=599, step=19800, lr=0.117750, batch loss=0.023042, epoch loss=0.226368 Batch=659, step=19860, lr=0.117500, batch loss=0.020194, epoch loss=0.246562 Batch=719, step=19920, lr=0.117250, batch loss=0.042499, epoch loss=0.289062 Batch=779, step=19980, lr=0.117000, batch loss=0.081460, epoch loss=0.370521 Batch=839, step=20040, lr=0.116750, batch loss=0.032301, epoch loss=0.402823 Batch=899, step=20100, lr=0.116500, batch loss=0.029368, epoch loss=0.432190 Batch=959, step=20160, lr=0.116250, batch loss=0.019580, epoch loss=0.451770 Batch=1019, step=20220, lr=0.116000, batch loss=0.022945, epoch loss=0.474715 Batch=1079, step=20280, lr=0.115750, batch loss=0.002451, epoch loss=0.477167 Batch=1139, step=20340, lr=0.115500, batch loss=0.014895, epoch loss=0.492062 Batch=1199, step=20400, lr=0.115250, batch loss=0.005940, epoch loss=0.498002 Epoch=16, step=20400, lr=0.115250, epoch loss=0.498002 Batch=59, step=20460, lr=0.115000, batch loss=0.002911, epoch loss=0.002911 Batch=119, step=20520, lr=0.114750, batch loss=0.009724, epoch loss=0.012635 Batch=179, step=20580, lr=0.114500, batch loss=0.026282, epoch loss=0.038917 Batch=239, step=20640, lr=0.114250, batch loss=0.014555, epoch loss=0.053472 Batch=299, step=20700, lr=0.114000, batch loss=0.002672, epoch loss=0.056143 Batch=359, step=20760, lr=0.113750, batch loss=0.013139, epoch loss=0.069283 Batch=419, step=20820, lr=0.113500, batch loss=0.016895, epoch loss=0.086178 Batch=479, step=20880, lr=0.113250, batch loss=0.005310, epoch loss=0.091488 Batch=539, step=20940, lr=0.113000, batch loss=0.015629, epoch loss=0.107117 Batch=599, step=21000, lr=0.112750, batch loss=0.018278, epoch loss=0.125395 Batch=659, step=21060, lr=0.112500, batch loss=0.016136, epoch loss=0.141531 Batch=719, step=21120, lr=0.112250, batch loss=0.038262, epoch loss=0.179794 Batch=779, step=21180, lr=0.112000, batch loss=0.065532, epoch loss=0.245325 Batch=839, step=21240, lr=0.111750, batch loss=0.025200, epoch loss=0.270526 Batch=899, step=21300, lr=0.111500, batch loss=0.027402, epoch loss=0.297928 Batch=959, step=21360, lr=0.111250, batch loss=0.010220, epoch loss=0.308147 Batch=1019, step=21420, lr=0.111000, batch loss=0.009850, epoch loss=0.317997 Batch=1079, step=21480, lr=0.110750, batch loss=0.002284, epoch loss=0.320280 Batch=1139, step=21540, lr=0.110500, batch loss=0.012291, epoch loss=0.332572 Batch=1199, step=21600, lr=0.110250, batch loss=0.005211, epoch loss=0.337782 Epoch=17, step=21600, lr=0.110250, epoch loss=0.337782 Batch=59, step=21660, lr=0.110000, batch loss=0.002216, epoch loss=0.002216 Batch=119, step=21720, lr=0.109750, batch loss=0.006676, epoch loss=0.008892 Batch=179, step=21780, lr=0.109500, batch loss=0.012710, epoch loss=0.021601 Batch=239, step=21840, lr=0.109250, batch loss=0.010551, epoch loss=0.032152 Batch=299, step=21900, lr=0.109000, batch loss=0.012207, epoch loss=0.044359 Batch=359, step=21960, lr=0.108750, batch loss=0.013018, epoch loss=0.057378 Batch=419, step=22020, lr=0.108500, batch loss=0.012580, epoch loss=0.069957 Batch=479, step=22080, lr=0.108250, batch loss=0.002754, epoch loss=0.072711 Batch=539, step=22140, lr=0.108000, batch loss=0.016488, epoch loss=0.089199 Batch=599, step=22200, lr=0.107750, batch loss=0.015344, epoch loss=0.104543 Batch=659, step=22260, lr=0.107500, batch loss=0.011085, epoch loss=0.115628 Batch=719, step=22320, lr=0.107250, batch loss=0.021481, epoch loss=0.137108 Batch=779, step=22380, lr=0.107000, batch loss=0.029532, epoch loss=0.166640 Batch=839, step=22440, lr=0.106750, batch loss=0.029727, epoch loss=0.196368 Batch=899, step=22500, lr=0.106500, batch loss=0.023989, epoch loss=0.220356 Batch=959, step=22560, lr=0.106000, batch loss=0.008610, epoch loss=0.228967 Batch=1019, step=22620, lr=0.106000, batch loss=0.007558, epoch loss=0.236524 Batch=1079, step=22680, lr=0.105750, batch loss=0.001766, epoch loss=0.238290 Batch=1139, step=22740, lr=0.105500, batch loss=0.010483, epoch loss=0.248773 Batch=1199, step=22800, lr=0.105250, batch loss=0.004966, epoch loss=0.253740 Epoch=18, step=22800, lr=0.105250, epoch loss=0.253740 Batch=59, step=22860, lr=0.105000, batch loss=0.002071, epoch loss=0.002071 Batch=119, step=22920, lr=0.104750, batch loss=0.005321, epoch loss=0.007391 Batch=179, step=22980, lr=0.104500, batch loss=0.011878, epoch loss=0.019269 Batch=239, step=23040, lr=0.104250, batch loss=0.008640, epoch loss=0.027909 Batch=299, step=23100, lr=0.104000, batch loss=0.005526, epoch loss=0.033435 Batch=359, step=23160, lr=0.103750, batch loss=0.010936, epoch loss=0.044371 Batch=419, step=23220, lr=0.103500, batch loss=0.009919, epoch loss=0.054290 Batch=479, step=23280, lr=0.103250, batch loss=0.002001, epoch loss=0.056291 Batch=539, step=23340, lr=0.103000, batch loss=0.017071, epoch loss=0.073362 Batch=599, step=23400, lr=0.102750, batch loss=0.013348, epoch loss=0.086710 Batch=659, step=23460, lr=0.102500, batch loss=0.010964, epoch loss=0.097674 Batch=719, step=23520, lr=0.102250, batch loss=0.013783, epoch loss=0.111458 Batch=779, step=23580, lr=0.102000, batch loss=0.023049, epoch loss=0.134507 Batch=839, step=23640, lr=0.101750, batch loss=0.024172, epoch loss=0.158679 Batch=899, step=23700, lr=0.101500, batch loss=0.024569, epoch loss=0.183248 Batch=959, step=23760, lr=0.101250, batch loss=0.007862, epoch loss=0.191109 Batch=1019, step=23820, lr=0.101000, batch loss=0.007566, epoch loss=0.198676 Batch=1079, step=23880, lr=0.100750, batch loss=0.000820, epoch loss=0.199496 Batch=1139, step=23940, lr=0.100500, batch loss=0.008694, epoch loss=0.208190 Batch=1199, step=24000, lr=0.100250, batch loss=0.004468, epoch loss=0.212657 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212657 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 2025-05-20 15:43.32: Job failed: Failed: Build failed