2025-05-19 16:39.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (33efa3b22f0833f85bad4a3f7df8cc8ab9e57b82) (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 33efa3b2 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 2025-05-19 16:39.10: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-19 16:39.10: 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")) ) 2025-05-19 16:39.10: Waiting for resource in pool OCluster 2025-05-19 16:39.10: Waiting for worker… 2025-05-19 16:39.35: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-19 16:39.38 ---> 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")) 2025-05-19 16:39.38 ---> 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. Continue? [y/n] y Format upgrade done. 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 <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-19 16:39.38 ---> 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 2025-05-19 16:39.38 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-19 16:39.38 ---> 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) 2025-05-19 16:39.38 ---> using "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-19 16:39.38 ---> using "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-19 16:39.38 ---> using "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-19 16:39.38 ---> using "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "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 - v3.21.3-502-gbacfddd1b1c [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-502-gbacfddd1b1c [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8601-gd2967c12429 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8602-g9f899b0ce97 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8599-g2980f9d77eb [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58250 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) [ERROR] System package install failed with exit code 1 at command: sudo apk add libffi-dev - ERROR: linux-headers-6.6-r1: temporary error (try again later) - (2/2) Installing libffi-dev (3.4.7-r0) - 1 error; 306 MiB in 103 packages 2025-05-19 16:39.38 ---> using "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved 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 dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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 mtime.2.1.0 -> installed fmt.0.10.0 -> installed uutf.1.0.4 -> 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-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> 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 re.1.12.0 -> 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 sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.2 -> installed printbox-ext-plot.0.12 -> 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_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_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) 2025-05-19 16:39.38 ---> using "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" from cache /src: (copy (src .) (dst /src)) 2025-05-19 16:39.40 ---> saved as "040d622ce751e5801bb788c9d9d417e709624d2c758c7e4cbdd7eb923d0e4750" /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/5514f677ba8cf07df41237a7d43086e5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/34df995cd055baa2d99585581d7d0cf1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-29, characters 0-281: 19 | (rule 20 | (alias runtest) 21 | (target 22 | (dir log_files)) 23 | (action 24 | (run 25 | %{dep:micrograd_demo_logging.exe} 26 | "--ocannl_debug_backend=text" 27 | "--ocannl_log_file_stem=micrograd_demo_logging" 28 | "--ocannl_log_main_domain_to_stdout=false" 29 | "--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 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/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/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_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=0.190250, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220716, epoch loss=5.662744 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662744 Batch=59, step=2460, lr=0.190000, batch loss=0.230272, epoch loss=0.230272 Batch=119, step=2520, lr=0.189750, batch loss=0.196057, epoch loss=0.426329 Batch=179, step=2580, lr=0.189500, batch loss=0.221119, epoch loss=0.647448 Batch=239, step=2640, lr=0.189000, batch loss=0.328105, epoch loss=0.975553 Batch=299, step=2700, lr=0.189000, batch loss=0.203024, epoch loss=1.178576 Batch=359, step=2760, lr=0.188750, batch loss=0.289814, epoch loss=1.468391 Batch=419, step=2820, lr=0.188500, batch loss=0.281831, epoch loss=1.750222 Batch=479, step=2880, lr=0.188250, batch loss=0.264728, epoch loss=2.014950 Batch=539, step=2940, lr=0.188000, batch loss=0.203930, epoch loss=2.218880 Batch=599, step=3000, lr=0.187750, batch loss=0.247916, epoch loss=2.466796 Batch=659, step=3060, lr=0.187500, batch loss=0.345165, epoch loss=2.811960 Batch=719, step=3120, lr=0.187250, batch loss=0.343429, epoch loss=3.155390 Batch=779, step=3180, lr=0.187000, batch loss=0.367106, epoch loss=3.522496 Batch=839, step=3240, lr=0.186750, batch loss=0.321746, epoch loss=3.844242 Batch=899, step=3300, lr=0.186500, batch loss=0.280276, epoch loss=4.124518 Batch=959, step=3360, lr=0.186250, batch loss=0.204678, epoch loss=4.329196 Batch=1019, step=3420, lr=0.186000, batch loss=0.319715, epoch loss=4.648911 Batch=1079, step=3480, lr=0.185750, batch loss=0.193324, epoch loss=4.842235 Batch=1139, step=3540, lr=0.185500, batch loss=0.241051, epoch loss=5.083286 Batch=1199, step=3600, lr=0.185250, batch loss=0.199280, epoch loss=5.282566 Epoch=2, step=3600, lr=0.185250, epoch loss=5.282566 Batch=59, step=3660, lr=0.185000, batch loss=0.220254, epoch loss=0.220254 Batch=119, step=3720, lr=0.184750, batch loss=0.185855, epoch loss=0.406109 Batch=179, step=3780, lr=0.184500, batch loss=0.210591, epoch loss=0.616701 Batch=239, step=3840, lr=0.184250, batch loss=0.314596, epoch loss=0.931297 Batch=299, step=3900, lr=0.184000, batch loss=0.204288, epoch loss=1.135585 Batch=359, step=3960, lr=0.183750, batch loss=0.281048, epoch loss=1.416633 Batch=419, step=4020, lr=0.183500, batch loss=0.271867, epoch loss=1.688501 Batch=479, step=4080, lr=0.183250, batch loss=0.248974, epoch loss=1.937475 Batch=539, step=4140, lr=0.183000, batch loss=0.195842, epoch loss=2.133317 Batch=599, step=4200, lr=0.182750, batch loss=0.242452, epoch loss=2.375770 Batch=659, step=4260, lr=0.182500, batch loss=0.327765, epoch loss=2.703535 Batch=719, step=4320, lr=0.182250, batch loss=0.326101, epoch loss=3.029636 Batch=779, step=4380, lr=0.182000, batch loss=0.353017, epoch loss=3.382652 Batch=839, step=4440, lr=0.181750, batch loss=0.316080, epoch loss=3.698733 Batch=899, step=4500, lr=0.181500, batch loss=0.279866, epoch loss=3.978599 Batch=959, step=4560, lr=0.181250, batch loss=0.217007, epoch loss=4.195606 Batch=1019, step=4620, lr=0.181000, batch loss=0.357542, epoch loss=4.553148 Batch=1079, step=4680, lr=0.180750, batch loss=0.210735, epoch loss=4.763883 Batch=1139, step=4740, lr=0.180500, batch loss=0.248623, epoch loss=5.012506 Batch=1199, step=4800, lr=0.180250, batch loss=0.190087, epoch loss=5.202593 Epoch=3, step=4800, lr=0.180250, epoch loss=5.202593 Batch=59, step=4860, lr=0.180000, batch loss=0.221809, epoch loss=0.221809 Batch=119, step=4920, lr=0.179750, batch loss=0.189089, epoch loss=0.410898 Batch=179, step=4980, lr=0.179500, batch loss=0.206022, epoch loss=0.616920 Batch=239, step=5040, lr=0.179250, batch loss=0.307738, epoch loss=0.924658 Batch=299, step=5100, lr=0.179000, batch loss=0.207979, epoch loss=1.132637 Batch=359, step=5160, lr=0.178750, batch loss=0.277035, epoch loss=1.409672 Batch=419, step=5220, lr=0.178500, batch loss=0.278301, epoch loss=1.687972 Batch=479, step=5280, lr=0.178250, batch loss=0.250864, epoch loss=1.938836 Batch=539, step=5340, lr=0.178000, batch loss=0.195920, epoch loss=2.134756 Batch=599, step=5400, lr=0.177750, batch loss=0.241905, epoch loss=2.376661 Batch=659, step=5460, lr=0.177500, batch loss=0.318371, epoch loss=2.695032 Batch=719, step=5520, lr=0.177250, batch loss=0.320945, epoch loss=3.015977 Batch=779, step=5580, lr=0.177000, batch loss=0.342241, epoch loss=3.358218 Batch=839, step=5640, lr=0.176750, batch loss=0.310440, epoch loss=3.668658 Batch=899, step=5700, lr=0.176500, batch loss=0.271962, epoch loss=3.940620 Batch=959, step=5760, lr=0.176250, batch loss=0.216050, epoch loss=4.156670 Batch=1019, step=5820, lr=0.176000, batch loss=0.337104, epoch loss=4.493773 Batch=1079, step=5880, lr=0.175750, batch loss=0.187180, epoch loss=4.680953 Batch=1139, step=5940, lr=0.175500, batch loss=0.220603, epoch loss=4.901556 Batch=1199, step=6000, lr=0.175250, batch loss=0.186670, epoch loss=5.088226 Epoch=4, step=6000, lr=0.175250, epoch loss=5.088226 Batch=59, step=6060, lr=0.175000, batch loss=0.230406, epoch loss=0.230406 Batch=119, step=6120, lr=0.174750, batch loss=0.195903, epoch loss=0.426308 Batch=179, step=6180, lr=0.174500, batch loss=0.201174, epoch loss=0.627482 Batch=239, step=6240, lr=0.174250, batch loss=0.302956, epoch loss=0.930438 Batch=299, step=6300, lr=0.174000, batch loss=0.211336, epoch loss=1.141774 Batch=359, step=6360, lr=0.173750, batch loss=0.274056, epoch loss=1.415830 Batch=419, step=6420, lr=0.173500, batch loss=0.267497, epoch loss=1.683327 Batch=479, step=6480, lr=0.173250, batch loss=0.242548, epoch loss=1.925876 Batch=539, step=6540, lr=0.173000, batch loss=0.195363, epoch loss=2.121239 Batch=599, step=6600, lr=0.172750, batch loss=0.233074, epoch loss=2.354313 Batch=659, step=6660, lr=0.172500, batch loss=0.313521, epoch loss=2.667833 Batch=719, step=6720, lr=0.172250, batch loss=0.318408, epoch loss=2.986242 Batch=779, step=6780, lr=0.172000, batch loss=0.339779, epoch loss=3.326021 Batch=839, step=6840, lr=0.171750, batch loss=0.299122, epoch loss=3.625143 Batch=899, step=6900, lr=0.171500, batch loss=0.262495, epoch loss=3.887637 Batch=959, step=6960, lr=0.171250, batch loss=0.217270, epoch loss=4.104907 Batch=1019, step=7020, lr=0.171000, batch loss=0.321327, epoch loss=4.426234 Batch=1079, step=7080, lr=0.170750, batch loss=0.180770, epoch loss=4.607004 Batch=1139, step=7140, lr=0.170500, batch loss=0.217871, epoch loss=4.824875 Batch=1199, step=7200, lr=0.170250, batch loss=0.181890, epoch loss=5.006765 Epoch=5, step=7200, lr=0.170250, epoch loss=5.006765 Batch=59, step=7260, lr=0.170000, batch loss=0.239209, epoch loss=0.239209 Batch=119, step=7320, lr=0.169750, batch loss=0.181166, epoch loss=0.420375 Batch=179, step=7380, lr=0.169500, batch loss=0.195417, epoch loss=0.615792 Batch=239, step=7440, lr=0.169250, batch loss=0.290761, epoch loss=0.906552 Batch=299, step=7500, lr=0.169000, batch loss=0.209227, epoch loss=1.115779 Batch=359, step=7560, lr=0.168750, batch loss=0.262579, epoch loss=1.378357 Batch=419, step=7620, lr=0.168500, batch loss=0.253547, epoch loss=1.631905 Batch=479, step=7680, lr=0.168250, batch loss=0.233209, epoch loss=1.865114 Batch=539, step=7740, lr=0.168000, batch loss=0.192583, epoch loss=2.057697 Batch=599, step=7800, lr=0.167750, batch loss=0.226532, epoch loss=2.284229 Batch=659, step=7860, lr=0.167250, batch loss=0.305965, epoch loss=2.590194 Batch=719, step=7920, lr=0.167250, batch loss=0.309829, epoch loss=2.900023 Batch=779, step=7980, lr=0.167000, batch loss=0.329868, epoch loss=3.229891 Batch=839, step=8040, lr=0.166750, batch loss=0.292361, epoch loss=3.522252 Batch=899, step=8100, lr=0.166500, batch loss=0.261597, epoch loss=3.783849 Batch=959, step=8160, lr=0.166250, batch loss=0.193897, epoch loss=3.977746 Batch=1019, step=8220, lr=0.166000, batch loss=0.302404, epoch loss=4.280150 Batch=1079, step=8280, lr=0.165750, batch loss=0.183317, epoch loss=4.463468 Batch=1139, step=8340, lr=0.165500, batch loss=0.215656, epoch loss=4.679124 Batch=1199, step=8400, lr=0.165250, batch loss=0.172255, epoch loss=4.851379 Epoch=6, step=8400, lr=0.165250, epoch loss=4.851379 Batch=59, step=8460, lr=0.165000, batch loss=0.212338, epoch loss=0.212338 Batch=119, step=8520, lr=0.164750, batch loss=0.178106, epoch loss=0.390444 Batch=179, step=8580, lr=0.164500, batch loss=0.188532, epoch loss=0.578976 Batch=239, step=8640, lr=0.164250, batch loss=0.279009, epoch loss=0.857986 Batch=299, step=8700, lr=0.164000, batch loss=0.192687, epoch loss=1.050673 Batch=359, step=8760, lr=0.163750, batch loss=0.255828, epoch loss=1.306501 Batch=419, step=8820, lr=0.163500, batch loss=0.244990, epoch loss=1.551491 Batch=479, step=8880, lr=0.163250, batch loss=0.229284, epoch loss=1.780776 Batch=539, step=8940, lr=0.163000, batch loss=0.177687, epoch loss=1.958463 Batch=599, step=9000, lr=0.162750, batch loss=0.217695, epoch loss=2.176158 Batch=659, step=9060, lr=0.162500, batch loss=0.294171, epoch loss=2.470328 Batch=719, step=9120, lr=0.162250, batch loss=0.297980, epoch loss=2.768308 Batch=779, step=9180, lr=0.161750, batch loss=0.315981, epoch loss=3.084289 Batch=839, step=9240, lr=0.161500, batch loss=0.281267, epoch loss=3.365556 Batch=899, step=9300, lr=0.161500, batch loss=0.250908, epoch loss=3.616464 Batch=959, step=9360, lr=0.161250, batch loss=0.189014, epoch loss=3.805478 Batch=1019, step=9420, lr=0.161000, batch loss=0.318194, epoch loss=4.123672 Batch=1079, step=9480, lr=0.160750, batch loss=0.186117, epoch loss=4.309789 Batch=1139, step=9540, lr=0.160500, batch loss=0.212694, epoch loss=4.522483 Batch=1199, step=9600, lr=0.160250, batch loss=0.166613, epoch loss=4.689096 Epoch=7, step=9600, lr=0.160250, epoch loss=4.689096 Batch=59, step=9660, lr=0.160000, batch loss=0.210624, epoch loss=0.210624 Batch=119, step=9720, lr=0.159750, batch loss=0.170573, epoch loss=0.381197 Batch=179, step=9780, lr=0.159500, batch loss=0.179360, epoch loss=0.560558 Batch=239, step=9840, lr=0.159250, batch loss=0.260814, epoch loss=0.821372 Batch=299, step=9900, lr=0.159000, batch loss=0.186786, epoch loss=1.008158 Batch=359, step=9960, lr=0.158750, batch loss=0.241478, epoch loss=1.249637 Batch=419, step=10020, lr=0.158500, batch loss=0.240662, epoch loss=1.490298 Batch=479, step=10080, lr=0.158250, batch loss=0.225036, epoch loss=1.715334 Batch=539, step=10140, lr=0.158000, batch loss=0.172937, epoch loss=1.888272 Batch=599, step=10200, lr=0.157750, batch loss=0.199788, epoch loss=2.088060 Batch=659, step=10260, lr=0.157500, batch loss=0.283622, epoch loss=2.371682 Batch=719, step=10320, lr=0.157250, batch loss=0.282549, epoch loss=2.654231 Batch=779, step=10380, lr=0.157000, batch loss=0.297017, epoch loss=2.951248 Batch=839, step=10440, lr=0.156750, batch loss=0.271087, epoch loss=3.222335 Batch=899, step=10500, lr=0.156500, batch loss=0.237217, epoch loss=3.459553 Batch=959, step=10560, lr=0.156250, batch loss=0.188121, epoch loss=3.647674 Batch=1019, step=10620, lr=0.156000, batch loss=0.283232, epoch loss=3.930906 Batch=1079, step=10680, lr=0.155750, batch loss=0.171661, epoch loss=4.102567 Batch=1139, step=10740, lr=0.155500, batch loss=0.203668, epoch loss=4.306235 Batch=1199, step=10800, lr=0.155250, batch loss=0.155073, epoch loss=4.461308 Epoch=8, step=10800, lr=0.155250, epoch loss=4.461308 Batch=59, step=10860, lr=0.155000, batch loss=0.178863, epoch loss=0.178863 Batch=119, step=10920, lr=0.154750, batch loss=0.151051, epoch loss=0.329913 Batch=179, step=10980, lr=0.154500, batch loss=0.166842, epoch loss=0.496755 Batch=239, step=11040, lr=0.154250, batch loss=0.250603, epoch loss=0.747358 Batch=299, step=11100, lr=0.154000, batch loss=0.163117, epoch loss=0.910474 Batch=359, step=11160, lr=0.153750, batch loss=0.225099, epoch loss=1.135573 Batch=419, step=11220, lr=0.153500, batch loss=0.233738, epoch loss=1.369311 Batch=479, step=11280, lr=0.153250, batch loss=0.197885, epoch loss=1.567196 Batch=539, step=11340, lr=0.153000, batch loss=0.157510, epoch loss=1.724707 Batch=599, step=11400, lr=0.152750, batch loss=0.180088, epoch loss=1.904795 Batch=659, step=11460, lr=0.152500, batch loss=0.262562, epoch loss=2.167357 Batch=719, step=11520, lr=0.152250, batch loss=0.255253, epoch loss=2.422610 Batch=779, step=11580, lr=0.152000, batch loss=0.269408, epoch loss=2.692019 Batch=839, step=11640, lr=0.151750, batch loss=0.249857, epoch loss=2.941876 Batch=899, step=11700, lr=0.151500, batch loss=0.216547, epoch loss=3.158423 Batch=959, step=11760, lr=0.151250, batch loss=0.172553, epoch loss=3.330975 Batch=1019, step=11820, lr=0.151000, batch loss=0.260754, epoch loss=3.591729 Batch=1079, step=11880, lr=0.150750, batch loss=0.145574, epoch loss=3.737303 Batch=1139, step=11940, lr=0.150500, batch loss=0.181064, epoch loss=3.918367 Batch=1199, step=12000, lr=0.150250, batch loss=0.138704, epoch loss=4.057071 Epoch=9, step=12000, lr=0.150250, epoch loss=4.057071 Batch=59, step=12060, lr=0.150000, batch loss=0.159259, epoch loss=0.159259 Batch=119, step=12120, lr=0.149750, batch loss=0.137570, epoch loss=0.296828 Batch=179, step=12180, lr=0.149500, batch loss=0.150286, epoch loss=0.447114 Batch=239, step=12240, lr=0.149250, batch loss=0.217674, epoch loss=0.664788 Batch=299, step=12300, lr=0.149000, batch loss=0.142166, epoch loss=0.806954 Batch=359, step=12360, lr=0.148750, batch loss=0.196062, epoch loss=1.003016 Batch=419, step=12420, lr=0.148500, batch loss=0.206328, epoch loss=1.209344 Batch=479, step=12480, lr=0.148250, batch loss=0.176916, epoch loss=1.386260 Batch=539, step=12540, lr=0.148000, batch loss=0.142278, epoch loss=1.528538 Batch=599, step=12600, lr=0.147750, batch loss=0.147140, epoch loss=1.675678 Batch=659, step=12660, lr=0.147500, batch loss=0.220436, epoch loss=1.896114 Batch=719, step=12720, lr=0.147250, batch loss=0.229987, epoch loss=2.126101 Batch=779, step=12780, lr=0.147000, batch loss=0.239845, epoch loss=2.365946 Batch=839, step=12840, lr=0.146750, batch loss=0.230935, epoch loss=2.596880 Batch=899, step=12900, lr=0.146500, batch loss=0.214627, epoch loss=2.811507 Batch=959, step=12960, lr=0.146250, batch loss=0.152580, epoch loss=2.964087 Batch=1019, step=13020, lr=0.146000, batch loss=0.262237, epoch loss=3.226324 Batch=1079, step=13080, lr=0.145750, batch loss=0.112510, epoch loss=3.338834 Batch=1139, step=13140, lr=0.145500, batch loss=0.155550, epoch loss=3.494384 Batch=1199, step=13200, lr=0.145000, batch loss=0.117351, epoch loss=3.611735 Epoch=10, step=13200, lr=0.145000, epoch loss=3.611735 Batch=59, step=13260, lr=0.145000, batch loss=0.140864, epoch loss=0.140864 Batch=119, step=13320, lr=0.144750, batch loss=0.120670, epoch loss=0.261534 Batch=179, step=13380, lr=0.144500, batch loss=0.126744, epoch loss=0.388278 Batch=239, step=13440, lr=0.144250, batch loss=0.185879, epoch loss=0.574157 Batch=299, step=13500, lr=0.144000, batch loss=0.114885, epoch loss=0.689041 Batch=359, step=13560, lr=0.143750, batch loss=0.157601, epoch loss=0.846642 Batch=419, step=13620, lr=0.143500, batch loss=0.160850, epoch loss=1.007492 Batch=479, step=13680, lr=0.143250, batch loss=0.145100, epoch loss=1.152592 Batch=539, step=13740, lr=0.143000, batch loss=0.118044, epoch loss=1.270636 Batch=599, step=13800, lr=0.142500, batch loss=0.118731, epoch loss=1.389367 Batch=659, step=13860, lr=0.142500, batch loss=0.173016, epoch loss=1.562383 Batch=719, step=13920, lr=0.142250, batch loss=0.174502, epoch loss=1.736886 Batch=779, step=13980, lr=0.142000, batch loss=0.196249, epoch loss=1.933135 Batch=839, step=14040, lr=0.141750, batch loss=0.186556, epoch loss=2.119691 Batch=899, step=14100, lr=0.141500, batch loss=0.178202, epoch loss=2.297893 Batch=959, step=14160, lr=0.141250, batch loss=0.140096, epoch loss=2.437989 Batch=1019, step=14220, lr=0.141000, batch loss=0.298255, epoch loss=2.736244 Batch=1079, step=14280, lr=0.140750, batch loss=0.076679, epoch loss=2.812923 Batch=1139, step=14340, lr=0.140500, batch loss=0.122571, epoch loss=2.935494 Batch=1199, step=14400, lr=0.140250, batch loss=0.090669, epoch loss=3.026163 Epoch=11, step=14400, lr=0.140250, epoch loss=3.026163 Batch=59, step=14460, lr=0.140000, batch loss=0.120687, epoch loss=0.120687 Batch=119, step=14520, lr=0.139750, batch loss=0.112674, epoch loss=0.233361 Batch=179, step=14580, lr=0.139500, batch loss=0.107143, epoch loss=0.340504 Batch=239, step=14640, lr=0.139250, batch loss=0.137794, epoch loss=0.478298 Batch=299, step=14700, lr=0.139000, batch loss=0.066844, epoch loss=0.545142 Batch=359, step=14760, lr=0.138750, batch loss=0.108534, epoch loss=0.653676 Batch=419, step=14820, lr=0.138500, batch loss=0.118051, epoch loss=0.771727 Batch=479, step=14880, lr=0.138250, batch loss=0.108113, epoch loss=0.879840 Batch=539, step=14940, lr=0.138000, batch loss=0.119182, epoch loss=0.999022 Batch=599, step=15000, lr=0.137750, batch loss=0.086916, epoch loss=1.085938 Batch=659, step=15060, lr=0.137500, batch loss=0.127202, epoch loss=1.213140 Batch=719, step=15120, lr=0.137250, batch loss=0.134691, epoch loss=1.347831 Batch=779, step=15180, lr=0.137000, batch loss=0.174855, epoch loss=1.522687 Batch=839, step=15240, lr=0.136500, batch loss=0.149339, epoch loss=1.672026 Batch=899, step=15300, lr=0.136250, batch loss=0.142241, epoch loss=1.814267 Batch=959, step=15360, lr=0.136250, batch loss=0.088597, epoch loss=1.902864 Batch=1019, step=15420, lr=0.136000, batch loss=0.170039, epoch loss=2.072903 Batch=1079, step=15480, lr=0.135750, batch loss=0.045551, epoch loss=2.118454 Batch=1139, step=15540, lr=0.135500, batch loss=0.103229, epoch loss=2.221682 Batch=1199, step=15600, lr=0.135250, batch loss=0.057025, epoch loss=2.278707 Epoch=12, step=15600, lr=0.135250, epoch loss=2.278707 Batch=59, step=15660, lr=0.135000, batch loss=0.074546, epoch loss=0.074546 Batch=119, step=15720, lr=0.134750, batch loss=0.129090, epoch loss=0.203636 Batch=179, step=15780, lr=0.134500, batch loss=0.094182, epoch loss=0.297818 Batch=239, step=15840, lr=0.134250, batch loss=0.093070, epoch loss=0.390888 Batch=299, step=15900, lr=0.134000, batch loss=0.037913, epoch loss=0.428801 Batch=359, step=15960, lr=0.133750, batch loss=0.082300, epoch loss=0.511101 Batch=419, step=16020, lr=0.133500, batch loss=0.077517, epoch loss=0.588618 Batch=479, step=16080, lr=0.133250, batch loss=0.060303, epoch loss=0.648920 Batch=539, step=16140, lr=0.133000, batch loss=0.064012, epoch loss=0.712933 Batch=599, step=16200, lr=0.132750, batch loss=0.149812, epoch loss=0.862745 Batch=659, step=16260, lr=0.132500, batch loss=0.086309, epoch loss=0.949054 Batch=719, step=16320, lr=0.132250, batch loss=0.137368, epoch loss=1.086422 Batch=779, step=16380, lr=0.131750, batch loss=0.337011, epoch loss=1.423433 Batch=839, step=16440, lr=0.131750, batch loss=0.100069, epoch loss=1.523503 Batch=899, step=16500, lr=0.131500, batch loss=0.088705, epoch loss=1.612208 Batch=959, step=16560, lr=0.131250, batch loss=0.033704, epoch loss=1.645912 Batch=1019, step=16620, lr=0.131000, batch loss=0.061536, epoch loss=1.707448 Batch=1079, step=16680, lr=0.130750, batch loss=0.053491, epoch loss=1.760939 Batch=1139, step=16740, lr=0.130500, batch loss=0.098179, epoch loss=1.859118 Batch=1199, step=16800, lr=0.130250, batch loss=0.048357, epoch loss=1.907475 Epoch=13, step=16800, lr=0.130250, epoch loss=1.907475 Batch=59, step=16860, lr=0.130000, batch loss=0.034004, epoch loss=0.034004 Batch=119, step=16920, lr=0.129750, batch loss=0.033918, epoch loss=0.067921 Batch=179, step=16980, lr=0.129500, batch loss=0.042837, epoch loss=0.110758 Batch=239, step=17040, lr=0.129250, batch loss=0.063630, epoch loss=0.174387 Batch=299, step=17100, lr=0.129000, batch loss=0.027457, epoch loss=0.201844 Batch=359, step=17160, lr=0.128750, batch loss=0.046427, epoch loss=0.248271 Batch=419, step=17220, lr=0.128500, batch loss=0.071089, epoch loss=0.319361 Batch=479, step=17280, lr=0.128250, batch loss=0.021331, epoch loss=0.340691 Batch=539, step=17340, lr=0.128000, batch loss=0.027416, epoch loss=0.368108 Batch=599, step=17400, lr=0.127750, batch loss=0.035382, epoch loss=0.403489 Batch=659, step=17460, lr=0.127500, batch loss=0.056923, epoch loss=0.460412 Batch=719, step=17520, lr=0.127250, batch loss=0.091702, epoch loss=0.552114 Batch=779, step=17580, lr=0.127000, batch loss=0.059358, epoch loss=0.611471 Batch=839, step=17640, lr=0.126750, batch loss=0.091701, epoch loss=0.703172 Batch=899, step=17700, lr=0.126500, batch loss=0.049028, epoch loss=0.752200 Batch=959, step=17760, lr=0.126250, batch loss=0.019660, epoch loss=0.771860 Batch=1019, step=17820, lr=0.126000, batch loss=0.049376, epoch loss=0.821237 Batch=1079, step=17880, lr=0.125750, batch loss=0.029980, epoch loss=0.851217 Batch=1139, step=17940, lr=0.125500, batch loss=0.060622, epoch loss=0.911838 Batch=1199, step=18000, lr=0.125250, batch loss=0.022152, epoch loss=0.933990 Epoch=14, step=18000, lr=0.125250, epoch loss=0.933990 Batch=59, step=18060, lr=0.124750, batch loss=0.012795, epoch loss=0.012795 Batch=119, step=18120, lr=0.124750, batch loss=0.017993, epoch loss=0.030788 Batch=179, step=18180, lr=0.124500, batch loss=0.029476, epoch loss=0.060264 Batch=239, step=18240, lr=0.124250, batch loss=0.033755, epoch loss=0.094019 Batch=299, step=18300, lr=0.124000, batch loss=0.012457, epoch loss=0.106477 Batch=359, step=18360, lr=0.123750, batch loss=0.022685, epoch loss=0.129162 Batch=419, step=18420, lr=0.123500, batch loss=0.029527, epoch loss=0.158689 Batch=479, step=18480, lr=0.123250, batch loss=0.018841, epoch loss=0.177530 Batch=539, step=18540, lr=0.123000, batch loss=0.044060, epoch loss=0.221590 Batch=599, step=18600, lr=0.122750, batch loss=0.025582, epoch loss=0.247172 Batch=659, step=18660, lr=0.122500, batch loss=0.034857, epoch loss=0.282030 Batch=719, step=18720, lr=0.122250, batch loss=0.034093, epoch loss=0.316122 Batch=779, step=18780, lr=0.122000, batch loss=0.097422, epoch loss=0.413544 Batch=839, step=18840, lr=0.121750, batch loss=0.058097, epoch loss=0.471642 Batch=899, step=18900, lr=0.121500, batch loss=0.075123, epoch loss=0.546765 Batch=959, step=18960, lr=0.121250, batch loss=0.013644, epoch loss=0.560408 Batch=1019, step=19020, lr=0.121000, batch loss=0.018877, epoch loss=0.579285 Batch=1079, step=19080, lr=0.120750, batch loss=0.007658, epoch loss=0.586943 Batch=1139, step=19140, lr=0.120500, batch loss=0.023640, epoch loss=0.610583 Batch=1199, step=19200, lr=0.120250, batch loss=0.009972, epoch loss=0.620555 Epoch=15, step=19200, lr=0.120250, epoch loss=0.620555 Batch=59, step=19260, lr=0.120000, batch loss=0.004736, epoch loss=0.004736 Batch=119, step=19320, lr=0.119750, batch loss=0.018022, epoch loss=0.022758 Batch=179, step=19380, lr=0.119500, batch loss=0.045128, epoch loss=0.067886 Batch=239, step=19440, lr=0.119250, batch loss=0.020620, epoch loss=0.088506 Batch=299, step=19500, lr=0.119000, batch loss=0.004985, epoch loss=0.093492 Batch=359, step=19560, lr=0.118750, batch loss=0.016536, epoch loss=0.110028 Batch=419, step=19620, lr=0.118500, batch loss=0.019802, epoch loss=0.129830 Batch=479, step=19680, lr=0.118250, batch loss=0.007399, epoch loss=0.137228 Batch=539, step=19740, lr=0.118000, batch loss=0.016259, epoch loss=0.153487 Batch=599, step=19800, lr=0.117750, batch loss=0.022634, epoch loss=0.176121 Batch=659, step=19860, lr=0.117500, batch loss=0.017516, epoch loss=0.193638 Batch=719, step=19920, lr=0.117250, batch loss=0.045035, epoch loss=0.238673 Batch=779, step=19980, lr=0.117000, batch loss=0.079600, epoch loss=0.318272 Batch=839, step=20040, lr=0.116750, batch loss=0.031001, epoch loss=0.349274 Batch=899, step=20100, lr=0.116500, batch loss=0.028893, epoch loss=0.378166 Batch=959, step=20160, lr=0.116250, batch loss=0.017345, epoch loss=0.395511 Batch=1019, step=20220, lr=0.116000, batch loss=0.023526, epoch loss=0.419037 Batch=1079, step=20280, lr=0.115750, batch loss=0.002230, epoch loss=0.421268 Batch=1139, step=20340, lr=0.115500, batch loss=0.014758, epoch loss=0.436026 Batch=1199, step=20400, lr=0.115250, batch loss=0.005954, epoch loss=0.441980 Epoch=16, step=20400, lr=0.115250, epoch loss=0.441980 Batch=59, step=20460, lr=0.115000, batch loss=0.003292, epoch loss=0.003292 Batch=119, step=20520, lr=0.114750, batch loss=0.009702, epoch loss=0.012995 Batch=179, step=20580, lr=0.114500, batch loss=0.025682, epoch loss=0.038677 Batch=239, step=20640, lr=0.114250, batch loss=0.014873, epoch loss=0.053550 Batch=299, step=20700, lr=0.114000, batch loss=0.003388, epoch loss=0.056938 Batch=359, step=20760, lr=0.113750, batch loss=0.013120, epoch loss=0.070058 Batch=419, step=20820, lr=0.113500, batch loss=0.014066, epoch loss=0.084124 Batch=479, step=20880, lr=0.113250, batch loss=0.005894, epoch loss=0.090019 Batch=539, step=20940, lr=0.113000, batch loss=0.016308, epoch loss=0.106327 Batch=599, step=21000, lr=0.112750, batch loss=0.017674, epoch loss=0.124001 Batch=659, step=21060, lr=0.112500, batch loss=0.013765, epoch loss=0.137766 Batch=719, step=21120, lr=0.112250, batch loss=0.032283, epoch loss=0.170050 Batch=779, step=21180, lr=0.112000, batch loss=0.055125, epoch loss=0.225175 Batch=839, step=21240, lr=0.111750, batch loss=0.024082, epoch loss=0.249257 Batch=899, step=21300, lr=0.111500, batch loss=0.023508, epoch loss=0.272765 Batch=959, step=21360, lr=0.111250, batch loss=0.014695, epoch loss=0.287460 Batch=1019, step=21420, lr=0.111000, batch loss=0.014303, epoch loss=0.301764 Batch=1079, step=21480, lr=0.110500, batch loss=0.001632, epoch loss=0.303396 Batch=1139, step=21540, lr=0.110500, batch loss=0.012679, epoch loss=0.316075 Batch=1199, step=21600, lr=0.110250, batch loss=0.005195, epoch loss=0.321270 Epoch=17, step=21600, lr=0.110250, epoch loss=0.321270 Batch=59, step=21660, lr=0.110000, batch loss=0.002381, epoch loss=0.002381 Batch=119, step=21720, lr=0.109750, batch loss=0.006826, epoch loss=0.009207 Batch=179, step=21780, lr=0.109500, batch loss=0.012433, epoch loss=0.021640 Batch=239, step=21840, lr=0.109250, batch loss=0.009885, epoch loss=0.031524 Batch=299, step=21900, lr=0.109000, batch loss=0.011060, epoch loss=0.042585 Batch=359, step=21960, lr=0.108750, batch loss=0.013243, epoch loss=0.055828 Batch=419, step=22020, lr=0.108500, batch loss=0.012790, epoch loss=0.068617 Batch=479, step=22080, lr=0.108250, batch loss=0.003385, epoch loss=0.072003 Batch=539, step=22140, lr=0.108000, batch loss=0.015721, epoch loss=0.087724 Batch=599, step=22200, lr=0.107750, batch loss=0.016228, epoch loss=0.103953 Batch=659, step=22260, lr=0.107500, batch loss=0.012846, epoch loss=0.116798 Batch=719, step=22320, lr=0.107250, batch loss=0.020455, epoch loss=0.137253 Batch=779, step=22380, lr=0.107000, batch loss=0.028938, epoch loss=0.166191 Batch=839, step=22440, lr=0.106750, batch loss=0.029240, epoch loss=0.195431 Batch=899, step=22500, lr=0.106500, batch loss=0.023672, epoch loss=0.219104 Batch=959, step=22560, lr=0.106250, batch loss=0.011147, epoch loss=0.230251 Batch=1019, step=22620, lr=0.106000, batch loss=0.009608, epoch loss=0.239859 Batch=1079, step=22680, lr=0.105750, batch loss=0.001781, epoch loss=0.241640 Batch=1139, step=22740, lr=0.105500, batch loss=0.010723, epoch loss=0.252363 Batch=1199, step=22800, lr=0.105250, batch loss=0.005228, epoch loss=0.257592 Epoch=18, step=22800, lr=0.105250, epoch loss=0.257592 Batch=59, step=22860, lr=0.105000, batch loss=0.002265, epoch loss=0.002265 Batch=119, step=22920, lr=0.104750, batch loss=0.005491, epoch loss=0.007756 Batch=179, step=22980, lr=0.104500, batch loss=0.012249, epoch loss=0.020005 Batch=239, step=23040, lr=0.104250, batch loss=0.008261, epoch loss=0.028266 Batch=299, step=23100, lr=0.104000, batch loss=0.004479, epoch loss=0.032745 Batch=359, step=23160, lr=0.103750, batch loss=0.011586, epoch loss=0.044332 Batch=419, step=23220, lr=0.103500, batch loss=0.010265, epoch loss=0.054597 Batch=479, step=23280, lr=0.103250, batch loss=0.004401, epoch loss=0.058998 Batch=539, step=23340, lr=0.103000, batch loss=0.014321, epoch loss=0.073319 Batch=599, step=23400, lr=0.102750, batch loss=0.014471, epoch loss=0.087791 Batch=659, step=23460, lr=0.102500, batch loss=0.011791, epoch loss=0.099582 Batch=719, step=23520, lr=0.102250, batch loss=0.012572, epoch loss=0.112154 Batch=779, step=23580, lr=0.102000, batch loss=0.023629, epoch loss=0.135784 Batch=839, step=23640, lr=0.101750, batch loss=0.025420, epoch loss=0.161204 Batch=899, step=23700, lr=0.101500, batch loss=0.022725, epoch loss=0.183929 Batch=959, step=23760, lr=0.101250, batch loss=0.008469, epoch loss=0.192398 Batch=1019, step=23820, lr=0.101000, batch loss=0.008561, epoch loss=0.200959 Batch=1079, step=23880, lr=0.100750, batch loss=0.000451, epoch loss=0.201410 Batch=1139, step=23940, lr=0.100500, batch loss=0.009523, epoch loss=0.210933 Batch=1199, step=24000, lr=0.100250, batch loss=0.004612, epoch loss=0.215544 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215544 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 2025-05-19 16:41.24: Job failed: Failed: Build failed