2025-05-09 15:39.37: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (e3497ade7ab3c160dfa7da252b570cf008023498) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard e3497ade cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e # debian-12-5.3_ppc64_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 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 2025-05-09 15:39.37: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e-debian-12-5.3_ppc64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc" 2025-05-09 15:39.37: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e) (comment debian-12-5.3_ppc64_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 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")) ) 2025-05-09 15:39.37: Waiting for resource in pool OCluster 2025-05-09 15:39.38: Waiting for worker… 2025-05-09 15:39.38: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at 86bf625e cuda_backend.ml tiny refactoring fixes HEAD is now at e3497ade gcc_backend.ml: tiny fixes to recent refactorings (from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e' locally docker.io/ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e: Pulling from ocaml/opam Digest: sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e Status: Downloaded newer image for ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e 2025-05-09 15:39.38 ---> using "11564f06579ac1abfc4bc8dcbf5fe8e8e80256686f8892cdaae583cd9afa42b8" from cache /: (comment debian-12-5.3_ppc64_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")) 2025-05-09 15:39.38 ---> using "7d9d83b5f12977bcf8066c022c05c5bd5be16362fd0a470da1495b1fd5537301" 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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-09 15:39.38 ---> using "3356b2ee63007def5ceadc9915328f1eea8f5bf3d1e4e2f434bb4052fe0919a6" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-09 15:39.38 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-09 15:39.38 ---> using "8b1bba9974efdc8414b2b8b2a4fed5020d231764a7da89b3dfbeaf9ab99cfe97" 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 da74d7829f..e28c86445c 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) 2025-05-09 15:39.38 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-09 15:39.38 ---> using "edabc3aebfd87acaf4fad3eebe33e30cdaeb435901f4608ea303bf5b4a9a7634" 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) 2025-05-09 15:39.38 ---> using "26beb80314b675d138bba30192f965393c8083f9cbd832ccf014196879db9bc5" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-09 15:39.38 ---> using "fa1f1f82c4ecfb8045e0e3c953a8d541f30b1b4e1ecbf1f5afe4a90c2fd4d4ef" 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 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 "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [247 kB] - Fetched 350 kB in 1s (435 kB/s) - Reading package lists... - <><> 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 pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:ppc64el. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18720 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-05-09 15:39.38 ---> using "f551a02d497253f367f80c69ee589090f98b5d9d3d884b8dbad4ca802e6d574e" 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 74 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 ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (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 dune.3.18.2, dune-configurator.3.18.2 (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) -> installed cmdliner.1.3.0 -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_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_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved 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 seq.base (cached) -> installed seq.base -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed uutf.1.0.4 -> 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 cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed uucp.16.0.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed printbox-text.0.12 -> installed ppx_fields_conv.v0.17.0 -> installed printbox-md.0.12 -> installed ppx_enumerate.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-09 15:39.38 ---> using "c151cf1c8cbcb6155f815e7c147004f9685dff84d11ab660ff56be22c684af09" from cache /src: (copy (src .) (dst /src)) 2025-05-09 15:39.43 ---> saved as "61bc2e2e698cf8046aadf06a1835a9e92f2baa016d211349e9b5820022fb7678" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/58b4e46b3df4a58eea44858ae7452854/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/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 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=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199250, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626482 Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070286 Batch=359, step=360, lr=0.198750, batch loss=1.330477, epoch loss=38.400763 Batch=419, step=420, lr=0.198500, batch loss=0.618520, epoch loss=39.019283 Batch=479, step=480, lr=0.198250, batch loss=0.823216, epoch loss=39.842499 Batch=539, step=540, lr=0.198000, batch loss=0.689420, epoch loss=40.531920 Batch=599, step=600, lr=0.197750, batch loss=1.066005, epoch loss=41.597925 Batch=659, step=660, lr=0.197500, batch loss=0.483135, epoch loss=42.081060 Batch=719, step=720, lr=0.197250, batch loss=0.411362, epoch loss=42.492422 Batch=779, step=780, lr=0.196750, batch loss=0.468877, epoch loss=42.961299 Batch=839, step=840, lr=0.196750, batch loss=0.443305, epoch loss=43.404603 Batch=899, step=900, lr=0.196500, batch loss=0.383744, epoch loss=43.788348 Batch=959, step=960, lr=0.196250, batch loss=0.237297, epoch loss=44.025645 Batch=1019, step=1020, lr=0.195750, batch loss=0.440452, epoch loss=44.466097 Batch=1079, step=1080, lr=0.195500, batch loss=0.229199, epoch loss=44.695296 Batch=1139, step=1140, lr=0.195250, batch loss=0.315278, epoch loss=45.010574 Batch=1199, step=1200, lr=0.195000, batch loss=0.263256, epoch loss=45.273830 Epoch=0, step=1200, lr=0.195000, epoch loss=45.273830 Batch=59, step=1260, lr=0.194750, batch loss=0.262420, epoch loss=0.262420 Batch=119, step=1320, lr=0.194500, batch loss=0.205491, epoch loss=0.467911 Batch=179, step=1380, lr=0.194250, batch loss=0.243137, epoch loss=0.711048 Batch=239, step=1440, lr=0.194000, batch loss=0.345580, epoch loss=1.056628 Batch=299, step=1500, lr=0.193750, batch loss=0.240534, epoch loss=1.297162 Batch=359, step=1560, lr=0.193500, batch loss=0.312386, epoch loss=1.609548 Batch=419, step=1620, lr=0.193250, batch loss=0.309415, epoch loss=1.918962 Batch=479, step=1680, lr=0.193000, batch loss=0.275982, epoch loss=2.194944 Batch=539, step=1740, lr=0.192750, batch loss=0.212090, epoch loss=2.407034 Batch=599, step=1800, lr=0.192750, batch loss=0.250805, epoch loss=2.657840 Batch=659, step=1860, lr=0.192500, batch loss=0.369426, epoch loss=3.027266 Batch=719, step=1920, lr=0.192250, batch loss=0.362283, epoch loss=3.389548 Batch=779, step=1980, lr=0.192000, batch loss=0.380766, epoch loss=3.770314 Batch=839, step=2040, lr=0.191500, batch loss=0.343489, epoch loss=4.113804 Batch=899, step=2100, lr=0.191500, batch loss=0.319289, epoch loss=4.433092 Batch=959, step=2160, lr=0.191000, batch loss=0.262936, epoch loss=4.696028 Batch=1019, step=2220, lr=0.190750, batch loss=0.422741, epoch loss=5.118769 Batch=1079, step=2280, lr=0.190500, batch loss=0.238842, epoch loss=5.357610 Batch=1139, step=2340, lr=0.190250, batch loss=0.276102, epoch loss=5.633713 Batch=1199, step=2400, lr=0.190000, batch loss=0.212667, epoch loss=5.846380 Epoch=1, step=2400, lr=0.190000, epoch loss=5.846380 Batch=59, step=2460, lr=0.190000, batch loss=0.234617, epoch loss=0.234617 Batch=119, step=2520, lr=0.189750, batch loss=0.195276, epoch loss=0.429893 Batch=179, step=2580, lr=0.189500, batch loss=0.222156, epoch loss=0.652049 Batch=239, step=2640, lr=0.189000, batch loss=0.329325, epoch loss=0.981374 Batch=299, step=2700, lr=0.188750, batch loss=0.203641, epoch loss=1.185015 Batch=359, step=2760, lr=0.188500, batch loss=0.288697, epoch loss=1.473712 Batch=419, step=2820, lr=0.188250, batch loss=0.280912, epoch loss=1.754623 Batch=479, step=2880, lr=0.188250, batch loss=0.252653, epoch loss=2.007277 Batch=539, step=2940, lr=0.188000, batch loss=0.192392, epoch loss=2.199669 Batch=599, step=3000, lr=0.187500, batch loss=0.225489, epoch loss=2.425158 Batch=659, step=3060, lr=0.187500, batch loss=0.332530, epoch loss=2.757688 Batch=719, step=3120, lr=0.187000, batch loss=0.335894, epoch loss=3.093582 Batch=779, step=3180, lr=0.187000, batch loss=0.354494, epoch loss=3.448076 Batch=839, step=3240, lr=0.186500, batch loss=0.330804, epoch loss=3.778880 Batch=899, step=3300, lr=0.186250, batch loss=0.297405, epoch loss=4.076285 Batch=959, step=3360, lr=0.186000, batch loss=0.236604, epoch loss=4.312889 Batch=1019, step=3420, lr=0.185750, batch loss=0.349064, epoch loss=4.661953 Batch=1079, step=3480, lr=0.185750, batch loss=0.213177, epoch loss=4.875130 Batch=1139, step=3540, lr=0.185500, batch loss=0.261596, epoch loss=5.136726 Batch=1199, step=3600, lr=0.185000, batch loss=0.200183, epoch loss=5.336909 Epoch=2, step=3600, lr=0.185000, epoch loss=5.336909 Batch=59, step=3660, lr=0.185000, batch loss=0.222522, epoch loss=0.222522 Batch=119, step=3720, lr=0.184500, batch loss=0.184426, epoch loss=0.406948 Batch=179, step=3780, lr=0.184500, batch loss=0.211922, epoch loss=0.618870 Batch=239, step=3840, lr=0.184250, batch loss=0.318086, epoch loss=0.936956 Batch=299, step=3900, lr=0.184000, batch loss=0.208766, epoch loss=1.145722 Batch=359, step=3960, lr=0.183750, batch loss=0.286438, epoch loss=1.432160 Batch=419, step=4020, lr=0.183250, batch loss=0.274139, epoch loss=1.706300 Batch=479, step=4080, lr=0.183250, batch loss=0.253806, epoch loss=1.960105 Batch=539, step=4140, lr=0.182750, batch loss=0.195050, epoch loss=2.155155 Batch=599, step=4200, lr=0.182750, batch loss=0.232986, epoch loss=2.388142 Batch=659, step=4260, lr=0.182250, batch loss=0.334572, epoch loss=2.722714 Batch=719, step=4320, lr=0.182000, batch loss=0.342330, epoch loss=3.065044 Batch=779, step=4380, lr=0.181750, batch loss=0.350030, epoch loss=3.415074 Batch=839, step=4440, lr=0.181500, batch loss=0.317135, epoch loss=3.732209 Batch=899, step=4500, lr=0.181500, batch loss=0.285951, epoch loss=4.018161 Batch=959, step=4560, lr=0.181000, batch loss=0.237534, epoch loss=4.255695 Batch=1019, step=4620, lr=0.180750, batch loss=0.329509, epoch loss=4.585203 Batch=1079, step=4680, lr=0.180750, batch loss=0.195398, epoch loss=4.780602 Batch=1139, step=4740, lr=0.180500, batch loss=0.228183, epoch loss=5.008785 Batch=1199, step=4800, lr=0.180000, batch loss=0.193580, epoch loss=5.202365 Epoch=3, step=4800, lr=0.180000, epoch loss=5.202365 Batch=59, step=4860, lr=0.180000, batch loss=0.235182, epoch loss=0.235182 Batch=119, step=4920, lr=0.179750, batch loss=0.192889, epoch loss=0.428071 Batch=179, step=4980, lr=0.179250, batch loss=0.206400, epoch loss=0.634472 Batch=239, step=5040, lr=0.179000, batch loss=0.308296, epoch loss=0.942768 Batch=299, step=5100, lr=0.178750, batch loss=0.207738, epoch loss=1.150506 Batch=359, step=5160, lr=0.178750, batch loss=0.274696, epoch loss=1.425202 Batch=419, step=5220, lr=0.178250, batch loss=0.266358, epoch loss=1.691560 Batch=479, step=5280, lr=0.178250, batch loss=0.241863, epoch loss=1.933423 Batch=539, step=5340, lr=0.177750, batch loss=0.195350, epoch loss=2.128773 Batch=599, step=5400, lr=0.177500, batch loss=0.236056, epoch loss=2.364829 Batch=659, step=5460, lr=0.177500, batch loss=0.321504, epoch loss=2.686333 Batch=719, step=5520, lr=0.177250, batch loss=0.323163, epoch loss=3.009496 Batch=779, step=5580, lr=0.176750, batch loss=0.340636, epoch loss=3.350132 Batch=839, step=5640, lr=0.176750, batch loss=0.311597, epoch loss=3.661729 Batch=899, step=5700, lr=0.176250, batch loss=0.272786, epoch loss=3.934515 Batch=959, step=5760, lr=0.176000, batch loss=0.216703, epoch loss=4.151219 Batch=1019, step=5820, lr=0.175750, batch loss=0.332947, epoch loss=4.484166 Batch=1079, step=5880, lr=0.175500, batch loss=0.189812, epoch loss=4.673977 Batch=1139, step=5940, lr=0.175500, batch loss=0.220561, epoch loss=4.894538 Batch=1199, step=6000, lr=0.175250, batch loss=0.187048, epoch loss=5.081586 Epoch=4, step=6000, lr=0.175250, epoch loss=5.081586 Batch=59, step=6060, lr=0.174750, batch loss=0.223917, epoch loss=0.223917 Batch=119, step=6120, lr=0.174500, batch loss=0.185113, epoch loss=0.409030 Batch=179, step=6180, lr=0.174500, batch loss=0.201195, epoch loss=0.610226 Batch=239, step=6240, lr=0.174250, batch loss=0.299377, epoch loss=0.909603 Batch=299, step=6300, lr=0.174000, batch loss=0.204341, epoch loss=1.113944 Batch=359, step=6360, lr=0.173750, batch loss=0.262940, epoch loss=1.376884 Batch=419, step=6420, lr=0.173500, batch loss=0.258677, epoch loss=1.635561 Batch=479, step=6480, lr=0.173250, batch loss=0.234642, epoch loss=1.870203 Batch=539, step=6540, lr=0.173000, batch loss=0.186054, epoch loss=2.056257 Batch=599, step=6600, lr=0.172500, batch loss=0.230677, epoch loss=2.286934 Batch=659, step=6660, lr=0.172250, batch loss=0.314384, epoch loss=2.601318 Batch=719, step=6720, lr=0.172250, batch loss=0.314890, epoch loss=2.916208 Batch=779, step=6780, lr=0.172000, batch loss=0.330520, epoch loss=3.246728 Batch=839, step=6840, lr=0.171750, batch loss=0.304835, epoch loss=3.551563 Batch=899, step=6900, lr=0.171500, batch loss=0.265531, epoch loss=3.817095 Batch=959, step=6960, lr=0.171250, batch loss=0.211712, epoch loss=4.028807 Batch=1019, step=7020, lr=0.171000, batch loss=0.323888, epoch loss=4.352695 Batch=1079, step=7080, lr=0.170500, batch loss=0.178384, epoch loss=4.531079 Batch=1139, step=7140, lr=0.170500, batch loss=0.214975, epoch loss=4.746054 Batch=1199, step=7200, lr=0.170000, batch loss=0.181418, epoch loss=4.927472 Epoch=5, step=7200, lr=0.170000, epoch loss=4.927472 Batch=59, step=7260, lr=0.170000, batch loss=0.224574, epoch loss=0.224574 Batch=119, step=7320, lr=0.169750, batch loss=0.190491, epoch loss=0.415065 Batch=179, step=7380, lr=0.169500, batch loss=0.194463, epoch loss=0.609528 Batch=239, step=7440, lr=0.169000, batch loss=0.292116, epoch loss=0.901644 Batch=299, step=7500, lr=0.169000, batch loss=0.206003, epoch loss=1.107647 Batch=359, step=7560, lr=0.168750, batch loss=0.262740, epoch loss=1.370387 Batch=419, step=7620, lr=0.168500, batch loss=0.253845, epoch loss=1.624232 Batch=479, step=7680, lr=0.168250, batch loss=0.238480, epoch loss=1.862712 Batch=539, step=7740, lr=0.168000, batch loss=0.184811, epoch loss=2.047523 Batch=599, step=7800, lr=0.167500, batch loss=0.227863, epoch loss=2.275386 Batch=659, step=7860, lr=0.167250, batch loss=0.303977, epoch loss=2.579363 Batch=719, step=7920, lr=0.167250, batch loss=0.310453, epoch loss=2.889817 Batch=779, step=7980, lr=0.167000, batch loss=0.329049, epoch loss=3.218865 Batch=839, step=8040, lr=0.166500, batch loss=0.293512, epoch loss=3.512377 Batch=899, step=8100, lr=0.166500, batch loss=0.262482, epoch loss=3.774859 Batch=959, step=8160, lr=0.166250, batch loss=0.202083, epoch loss=3.976941 Batch=1019, step=8220, lr=0.166000, batch loss=0.325764, epoch loss=4.302706 Batch=1079, step=8280, lr=0.165750, batch loss=0.201350, epoch loss=4.504056 Batch=1139, step=8340, lr=0.165500, batch loss=0.224861, epoch loss=4.728916 Batch=1199, step=8400, lr=0.165000, batch loss=0.175525, epoch loss=4.904442 Epoch=6, step=8400, lr=0.165000, epoch loss=4.904442 Batch=59, step=8460, lr=0.164750, batch loss=0.216499, epoch loss=0.216499 Batch=119, step=8520, lr=0.164500, batch loss=0.182335, epoch loss=0.398834 Batch=179, step=8580, lr=0.164250, batch loss=0.188662, epoch loss=0.587496 Batch=239, step=8640, lr=0.164000, batch loss=0.278180, epoch loss=0.865675 Batch=299, step=8700, lr=0.163750, batch loss=0.194504, epoch loss=1.060179 Batch=359, step=8760, lr=0.163750, batch loss=0.248758, epoch loss=1.308937 Batch=419, step=8820, lr=0.163250, batch loss=0.244947, epoch loss=1.553884 Batch=479, step=8880, lr=0.163250, batch loss=0.229621, epoch loss=1.783505 Batch=539, step=8940, lr=0.163000, batch loss=0.178123, epoch loss=1.961629 Batch=599, step=9000, lr=0.162750, batch loss=0.218657, epoch loss=2.180286 Batch=659, step=9060, lr=0.162500, batch loss=0.294105, epoch loss=2.474391 Batch=719, step=9120, lr=0.162250, batch loss=0.296698, epoch loss=2.771089 Batch=779, step=9180, lr=0.162000, batch loss=0.314414, epoch loss=3.085502 Batch=839, step=9240, lr=0.161750, batch loss=0.282824, epoch loss=3.368326 Batch=899, step=9300, lr=0.161500, batch loss=0.253144, epoch loss=3.621470 Batch=959, step=9360, lr=0.161000, batch loss=0.187842, epoch loss=3.809311 Batch=1019, step=9420, lr=0.161000, batch loss=0.319054, epoch loss=4.128365 Batch=1079, step=9480, lr=0.160750, batch loss=0.195989, epoch loss=4.324354 Batch=1139, step=9540, lr=0.160500, batch loss=0.208410, epoch loss=4.532765 Batch=1199, step=9600, lr=0.160250, batch loss=0.168483, epoch loss=4.701248 Epoch=7, step=9600, lr=0.160250, epoch loss=4.701248 Batch=59, step=9660, lr=0.160000, batch loss=0.203383, epoch loss=0.203383 Batch=119, step=9720, lr=0.159750, batch loss=0.169672, epoch loss=0.373055 Batch=179, step=9780, lr=0.159500, batch loss=0.180392, epoch loss=0.553447 Batch=239, step=9840, lr=0.159250, batch loss=0.264281, epoch loss=0.817728 Batch=299, step=9900, lr=0.158750, batch loss=0.183211, epoch loss=1.000939 Batch=359, step=9960, lr=0.158750, batch loss=0.241429, epoch loss=1.242368 Batch=419, step=10020, lr=0.158500, batch loss=0.233340, epoch loss=1.475708 Batch=479, step=10080, lr=0.158250, batch loss=0.215222, epoch loss=1.690930 Batch=539, step=10140, lr=0.158000, batch loss=0.170947, epoch loss=1.861878 Batch=599, step=10200, lr=0.157500, batch loss=0.203290, epoch loss=2.065167 Batch=659, step=10260, lr=0.157500, batch loss=0.282571, epoch loss=2.347739 Batch=719, step=10320, lr=0.157000, batch loss=0.282543, epoch loss=2.630281 Batch=779, step=10380, lr=0.157000, batch loss=0.301511, epoch loss=2.931792 Batch=839, step=10440, lr=0.156750, batch loss=0.272774, epoch loss=3.204566 Batch=899, step=10500, lr=0.156500, batch loss=0.241607, epoch loss=3.446174 Batch=959, step=10560, lr=0.156250, batch loss=0.199483, epoch loss=3.645657 Batch=1019, step=10620, lr=0.156000, batch loss=0.279835, epoch loss=3.925492 Batch=1079, step=10680, lr=0.155500, batch loss=0.152458, epoch loss=4.077950 Batch=1139, step=10740, lr=0.155250, batch loss=0.184076, epoch loss=4.262027 Batch=1199, step=10800, lr=0.155250, batch loss=0.162515, epoch loss=4.424542 Epoch=8, step=10800, lr=0.155250, epoch loss=4.424542 Batch=59, step=10860, lr=0.155000, batch loss=0.198623, epoch loss=0.198623 Batch=119, step=10920, lr=0.154750, batch loss=0.160561, epoch loss=0.359184 Batch=179, step=10980, lr=0.154250, batch loss=0.167551, epoch loss=0.526735 Batch=239, step=11040, lr=0.154250, batch loss=0.246301, epoch loss=0.773036 Batch=299, step=11100, lr=0.154000, batch loss=0.166731, epoch loss=0.939767 Batch=359, step=11160, lr=0.153500, batch loss=0.225878, epoch loss=1.165646 Batch=419, step=11220, lr=0.153250, batch loss=0.226522, epoch loss=1.392167 Batch=479, step=11280, lr=0.153250, batch loss=0.207801, epoch loss=1.599968 Batch=539, step=11340, lr=0.153000, batch loss=0.158436, epoch loss=1.758404 Batch=599, step=11400, lr=0.152500, batch loss=0.184955, epoch loss=1.943360 Batch=659, step=11460, lr=0.152250, batch loss=0.262935, epoch loss=2.206295 Batch=719, step=11520, lr=0.152000, batch loss=0.262618, epoch loss=2.468912 Batch=779, step=11580, lr=0.151750, batch loss=0.271605, epoch loss=2.740517 Batch=839, step=11640, lr=0.151500, batch loss=0.252935, epoch loss=2.993452 Batch=899, step=11700, lr=0.151250, batch loss=0.219381, epoch loss=3.212832 Batch=959, step=11760, lr=0.151250, batch loss=0.163802, epoch loss=3.376635 Batch=1019, step=11820, lr=0.150750, batch loss=0.276427, epoch loss=3.653061 Batch=1079, step=11880, lr=0.150750, batch loss=0.151058, epoch loss=3.804119 Batch=1139, step=11940, lr=0.150250, batch loss=0.181413, epoch loss=3.985532 Batch=1199, step=12000, lr=0.150000, batch loss=0.142051, epoch loss=4.127583 Epoch=9, step=12000, lr=0.150000, epoch loss=4.127583 Batch=59, step=12060, lr=0.150000, batch loss=0.162971, epoch loss=0.162971 Batch=119, step=12120, lr=0.149500, batch loss=0.139467, epoch loss=0.302439 Batch=179, step=12180, lr=0.149250, batch loss=0.152959, epoch loss=0.455398 Batch=239, step=12240, lr=0.149250, batch loss=0.222550, epoch loss=0.677947 Batch=299, step=12300, lr=0.149000, batch loss=0.144969, epoch loss=0.822916 Batch=359, step=12360, lr=0.148500, batch loss=0.198673, epoch loss=1.021589 Batch=419, step=12420, lr=0.148250, batch loss=0.210211, epoch loss=1.231800 Batch=479, step=12480, lr=0.148250, batch loss=0.181616, epoch loss=1.413416 Batch=539, step=12540, lr=0.148000, batch loss=0.145956, epoch loss=1.559372 Batch=599, step=12600, lr=0.147500, batch loss=0.152347, epoch loss=1.711718 Batch=659, step=12660, lr=0.147250, batch loss=0.230041, epoch loss=1.941759 Batch=719, step=12720, lr=0.147250, batch loss=0.238015, epoch loss=2.179774 Batch=779, step=12780, lr=0.147000, batch loss=0.260467, epoch loss=2.440241 Batch=839, step=12840, lr=0.146750, batch loss=0.227855, epoch loss=2.668097 Batch=899, step=12900, lr=0.146250, batch loss=0.192337, epoch loss=2.860434 Batch=959, step=12960, lr=0.146250, batch loss=0.162485, epoch loss=3.022919 Batch=1019, step=13020, lr=0.145750, batch loss=0.260094, epoch loss=3.283014 Batch=1079, step=13080, lr=0.145750, batch loss=0.123070, epoch loss=3.406084 Batch=1139, step=13140, lr=0.145250, batch loss=0.160831, epoch loss=3.566915 Batch=1199, step=13200, lr=0.145000, batch loss=0.121869, epoch loss=3.688784 Epoch=10, step=13200, lr=0.145000, epoch loss=3.688784 Batch=59, step=13260, lr=0.145000, batch loss=0.147619, epoch loss=0.147619 Batch=119, step=13320, lr=0.144500, batch loss=0.122849, epoch loss=0.270468 Batch=179, step=13380, lr=0.144250, batch loss=0.130261, epoch loss=0.400729 Batch=239, step=13440, lr=0.144000, batch loss=0.191857, epoch loss=0.592586 Batch=299, step=13500, lr=0.144000, batch loss=0.117193, epoch loss=0.709778 Batch=359, step=13560, lr=0.143500, batch loss=0.166102, epoch loss=0.875881 Batch=419, step=13620, lr=0.143250, batch loss=0.171225, epoch loss=1.047106 Batch=479, step=13680, lr=0.143000, batch loss=0.154813, epoch loss=1.201919 Batch=539, step=13740, lr=0.142750, batch loss=0.120894, epoch loss=1.322813 Batch=599, step=13800, lr=0.142500, batch loss=0.125265, epoch loss=1.448077 Batch=659, step=13860, lr=0.142250, batch loss=0.186463, epoch loss=1.634541 Batch=719, step=13920, lr=0.142250, batch loss=0.200433, epoch loss=1.834974 Batch=779, step=13980, lr=0.142000, batch loss=0.228500, epoch loss=2.063474 Batch=839, step=14040, lr=0.141500, batch loss=0.203940, epoch loss=2.267414 Batch=899, step=14100, lr=0.141500, batch loss=0.212223, epoch loss=2.479637 Batch=959, step=14160, lr=0.141000, batch loss=0.111658, epoch loss=2.591296 Batch=1019, step=14220, lr=0.140750, batch loss=0.196929, epoch loss=2.788225 Batch=1079, step=14280, lr=0.140750, batch loss=0.080326, epoch loss=2.868551 Batch=1139, step=14340, lr=0.140250, batch loss=0.126595, epoch loss=2.995146 Batch=1199, step=14400, lr=0.140000, batch loss=0.090945, epoch loss=3.086091 Epoch=11, step=14400, lr=0.140000, epoch loss=3.086091 Batch=59, step=14460, lr=0.139750, batch loss=0.116476, epoch loss=0.116476 Batch=119, step=14520, lr=0.139750, batch loss=0.113857, epoch loss=0.230333 Batch=179, step=14580, lr=0.139250, batch loss=0.107075, epoch loss=0.337409 Batch=239, step=14640, lr=0.139000, batch loss=0.147285, epoch loss=0.484693 Batch=299, step=14700, lr=0.138750, batch loss=0.085827, epoch loss=0.570521 Batch=359, step=14760, lr=0.138500, batch loss=0.127045, epoch loss=0.697566 Batch=419, step=14820, lr=0.138250, batch loss=0.129857, epoch loss=0.827423 Batch=479, step=14880, lr=0.138250, batch loss=0.110869, epoch loss=0.938292 Batch=539, step=14940, lr=0.138000, batch loss=0.102033, epoch loss=1.040325 Batch=599, step=15000, lr=0.137750, batch loss=0.090229, epoch loss=1.130554 Batch=659, step=15060, lr=0.137250, batch loss=0.142955, epoch loss=1.273508 Batch=719, step=15120, lr=0.137000, batch loss=0.176043, epoch loss=1.449552 Batch=779, step=15180, lr=0.136750, batch loss=0.302158, epoch loss=1.751709 Batch=839, step=15240, lr=0.136500, batch loss=0.140781, epoch loss=1.892491 Batch=899, step=15300, lr=0.136250, batch loss=0.135243, epoch loss=2.027733 Batch=959, step=15360, lr=0.136000, batch loss=0.097659, epoch loss=2.125392 Batch=1019, step=15420, lr=0.135750, batch loss=0.169088, epoch loss=2.294480 Batch=1079, step=15480, lr=0.135500, batch loss=0.044547, epoch loss=2.339027 Batch=1139, step=15540, lr=0.135250, batch loss=0.096323, epoch loss=2.435350 Batch=1199, step=15600, lr=0.135000, batch loss=0.063461, epoch loss=2.498811 Epoch=12, step=15600, lr=0.135000, epoch loss=2.498811 Batch=59, step=15660, lr=0.134750, batch loss=0.093766, epoch loss=0.093766 Batch=119, step=15720, lr=0.134500, batch loss=0.143396, epoch loss=0.237161 Batch=179, step=15780, lr=0.134500, batch loss=0.104335, epoch loss=0.341497 Batch=239, step=15840, lr=0.134000, batch loss=0.106341, epoch loss=0.447838 Batch=299, step=15900, lr=0.133750, batch loss=0.047585, epoch loss=0.495423 Batch=359, step=15960, lr=0.133750, batch loss=0.089121, epoch loss=0.584544 Batch=419, step=16020, lr=0.133250, batch loss=0.085631, epoch loss=0.670175 Batch=479, step=16080, lr=0.133000, batch loss=0.068740, epoch loss=0.738915 Batch=539, step=16140, lr=0.133000, batch loss=0.058013, epoch loss=0.796928 Batch=599, step=16200, lr=0.132500, batch loss=0.113610, epoch loss=0.910539 Batch=659, step=16260, lr=0.132250, batch loss=0.085995, epoch loss=0.996534 Batch=719, step=16320, lr=0.132250, batch loss=0.096923, epoch loss=1.093457 Batch=779, step=16380, lr=0.131750, batch loss=0.150321, epoch loss=1.243778 Batch=839, step=16440, lr=0.131500, batch loss=0.109856, epoch loss=1.353634 Batch=899, step=16500, lr=0.131250, batch loss=0.129537, epoch loss=1.483170 Batch=959, step=16560, lr=0.131250, batch loss=0.045123, epoch loss=1.528294 Batch=1019, step=16620, lr=0.130750, batch loss=0.108149, epoch loss=1.636443 Batch=1079, step=16680, lr=0.130750, batch loss=0.027294, epoch loss=1.663737 Batch=1139, step=16740, lr=0.130250, batch loss=0.058597, epoch loss=1.722334 Batch=1199, step=16800, lr=0.130000, batch loss=0.030452, epoch loss=1.752786 Epoch=13, step=16800, lr=0.130000, epoch loss=1.752786 Batch=59, step=16860, lr=0.129750, batch loss=0.042038, epoch loss=0.042038 Batch=119, step=16920, lr=0.129750, batch loss=0.071241, epoch loss=0.113279 Batch=179, step=16980, lr=0.129250, batch loss=0.057263, epoch loss=0.170541 Batch=239, step=17040, lr=0.129250, batch loss=0.064904, epoch loss=0.235445 Batch=299, step=17100, lr=0.128750, batch loss=0.030393, epoch loss=0.265839 Batch=359, step=17160, lr=0.128500, batch loss=0.051069, epoch loss=0.316908 Batch=419, step=17220, lr=0.128250, batch loss=0.056225, epoch loss=0.373133 Batch=479, step=17280, lr=0.128000, batch loss=0.035768, epoch loss=0.408901 Batch=539, step=17340, lr=0.127750, batch loss=0.066008, epoch loss=0.474909 Batch=599, step=17400, lr=0.127500, batch loss=0.038914, epoch loss=0.513824 Batch=659, step=17460, lr=0.127500, batch loss=0.053696, epoch loss=0.567520 Batch=719, step=17520, lr=0.127250, batch loss=0.062129, epoch loss=0.629648 Batch=779, step=17580, lr=0.126750, batch loss=0.130401, epoch loss=0.760049 Batch=839, step=17640, lr=0.126500, batch loss=0.094852, epoch loss=0.854901 Batch=899, step=17700, lr=0.126500, batch loss=0.117707, epoch loss=0.972608 Batch=959, step=17760, lr=0.126000, batch loss=0.025448, epoch loss=0.998056 Batch=1019, step=17820, lr=0.126000, batch loss=0.045202, epoch loss=1.043258 Batch=1079, step=17880, lr=0.125500, batch loss=0.019038, epoch loss=1.062296 Batch=1139, step=17940, lr=0.125250, batch loss=0.047320, epoch loss=1.109616 Batch=1199, step=18000, lr=0.125000, batch loss=0.020583, epoch loss=1.130199 Epoch=14, step=18000, lr=0.125000, epoch loss=1.130199 Batch=59, step=18060, lr=0.125000, batch loss=0.014770, epoch loss=0.014770 Batch=119, step=18120, lr=0.124750, batch loss=0.021304, epoch loss=0.036074 Batch=179, step=18180, lr=0.124500, batch loss=0.031168, epoch loss=0.067242 Batch=239, step=18240, lr=0.124000, batch loss=0.036584, epoch loss=0.103826 Batch=299, step=18300, lr=0.124000, batch loss=0.010442, epoch loss=0.114268 Batch=359, step=18360, lr=0.123500, batch loss=0.027006, epoch loss=0.141274 Batch=419, step=18420, lr=0.123500, batch loss=0.032592, epoch loss=0.173866 Batch=479, step=18480, lr=0.123250, batch loss=0.018205, epoch loss=0.192071 Batch=539, step=18540, lr=0.123000, batch loss=0.023621, epoch loss=0.215692 Batch=599, step=18600, lr=0.122750, batch loss=0.027439, epoch loss=0.243131 Batch=659, step=18660, lr=0.122250, batch loss=0.029883, epoch loss=0.273015 Batch=719, step=18720, lr=0.122250, batch loss=0.044700, epoch loss=0.317715 Batch=779, step=18780, lr=0.122000, batch loss=0.107828, epoch loss=0.425543 Batch=839, step=18840, lr=0.121500, batch loss=0.071065, epoch loss=0.496608 Batch=899, step=18900, lr=0.121250, batch loss=0.104334, epoch loss=0.600942 Batch=959, step=18960, lr=0.121250, batch loss=0.015400, epoch loss=0.616342 Batch=1019, step=19020, lr=0.121000, batch loss=0.020275, epoch loss=0.636617 Batch=1079, step=19080, lr=0.120500, batch loss=0.006253, epoch loss=0.642870 Batch=1139, step=19140, lr=0.120500, batch loss=0.026050, epoch loss=0.668920 Batch=1199, step=19200, lr=0.120250, batch loss=0.011161, epoch loss=0.680081 Epoch=15, step=19200, lr=0.120250, epoch loss=0.680081 Batch=59, step=19260, lr=0.120000, batch loss=0.005883, epoch loss=0.005883 Batch=119, step=19320, lr=0.119750, batch loss=0.021178, epoch loss=0.027061 Batch=179, step=19380, lr=0.119250, batch loss=0.054664, epoch loss=0.081725 Batch=239, step=19440, lr=0.119250, batch loss=0.026186, epoch loss=0.107911 Batch=299, step=19500, lr=0.118750, batch loss=0.013707, epoch loss=0.121618 Batch=359, step=19560, lr=0.118750, batch loss=0.029065, epoch loss=0.150683 Batch=419, step=19620, lr=0.118500, batch loss=0.021352, epoch loss=0.172035 Batch=479, step=19680, lr=0.118250, batch loss=0.006611, epoch loss=0.178645 Batch=539, step=19740, lr=0.117750, batch loss=0.020540, epoch loss=0.199185 Batch=599, step=19800, lr=0.117750, batch loss=0.022899, epoch loss=0.222084 Batch=659, step=19860, lr=0.117500, batch loss=0.019538, epoch loss=0.241622 Batch=719, step=19920, lr=0.117000, batch loss=0.059151, epoch loss=0.300773 Batch=779, step=19980, lr=0.117000, batch loss=0.072697, epoch loss=0.373470 Batch=839, step=20040, lr=0.116500, batch loss=0.031740, epoch loss=0.405210 Batch=899, step=20100, lr=0.116250, batch loss=0.029538, epoch loss=0.434748 Batch=959, step=20160, lr=0.116000, batch loss=0.012682, epoch loss=0.447430 Batch=1019, step=20220, lr=0.116000, batch loss=0.015128, epoch loss=0.462558 Batch=1079, step=20280, lr=0.115750, batch loss=0.001855, epoch loss=0.464413 Batch=1139, step=20340, lr=0.115500, batch loss=0.015516, epoch loss=0.479929 Batch=1199, step=20400, lr=0.115000, batch loss=0.007853, epoch loss=0.487782 Epoch=16, step=20400, lr=0.115000, epoch loss=0.487782 Batch=59, step=20460, lr=0.115000, batch loss=0.004025, epoch loss=0.004025 Batch=119, step=20520, lr=0.114750, batch loss=0.015323, epoch loss=0.019348 Batch=179, step=20580, lr=0.114500, batch loss=0.035482, epoch loss=0.054830 Batch=239, step=20640, lr=0.114250, batch loss=0.015490, epoch loss=0.070320 Batch=299, step=20700, lr=0.113750, batch loss=0.009898, epoch loss=0.080218 Batch=359, step=20760, lr=0.113750, batch loss=0.018863, epoch loss=0.099081 Batch=419, step=20820, lr=0.113500, batch loss=0.015582, epoch loss=0.114663 Batch=479, step=20880, lr=0.113250, batch loss=0.005771, epoch loss=0.120434 Batch=539, step=20940, lr=0.112750, batch loss=0.015658, epoch loss=0.136093 Batch=599, step=21000, lr=0.112500, batch loss=0.018936, epoch loss=0.155028 Batch=659, step=21060, lr=0.112250, batch loss=0.015255, epoch loss=0.170284 Batch=719, step=21120, lr=0.112250, batch loss=0.039949, epoch loss=0.210233 Batch=779, step=21180, lr=0.112000, batch loss=0.074043, epoch loss=0.284276 Batch=839, step=21240, lr=0.111750, batch loss=0.027573, epoch loss=0.311848 Batch=899, step=21300, lr=0.111250, batch loss=0.026944, epoch loss=0.338792 Batch=959, step=21360, lr=0.111250, batch loss=0.010255, epoch loss=0.349047 Batch=1019, step=21420, lr=0.111000, batch loss=0.011723, epoch loss=0.360770 Batch=1079, step=21480, lr=0.110750, batch loss=0.001293, epoch loss=0.362063 Batch=1139, step=21540, lr=0.110250, batch loss=0.013319, epoch loss=0.375382 Batch=1199, step=21600, lr=0.110000, batch loss=0.005462, epoch loss=0.380844 Epoch=17, step=21600, lr=0.110000, epoch loss=0.380844 Batch=59, step=21660, lr=0.110000, batch loss=0.002547, epoch loss=0.002547 Batch=119, step=21720, lr=0.109750, batch loss=0.006999, epoch loss=0.009546 Batch=179, step=21780, lr=0.109500, batch loss=0.013250, epoch loss=0.022796 Batch=239, step=21840, lr=0.109000, batch loss=0.009925, epoch loss=0.032721 Batch=299, step=21900, lr=0.109000, batch loss=0.014841, epoch loss=0.047561 Batch=359, step=21960, lr=0.108750, batch loss=0.016066, epoch loss=0.063628 Batch=419, step=22020, lr=0.108500, batch loss=0.013362, epoch loss=0.076990 Batch=479, step=22080, lr=0.108250, batch loss=0.002762, epoch loss=0.079753 Batch=539, step=22140, lr=0.107750, batch loss=0.018221, epoch loss=0.097974 Batch=599, step=22200, lr=0.107750, batch loss=0.018063, epoch loss=0.116036 Batch=659, step=22260, lr=0.107250, batch loss=0.015488, epoch loss=0.131524 Batch=719, step=22320, lr=0.107000, batch loss=0.023264, epoch loss=0.154788 Batch=779, step=22380, lr=0.106750, batch loss=0.033288, epoch loss=0.188076 Batch=839, step=22440, lr=0.106500, batch loss=0.030286, epoch loss=0.218362 Batch=899, step=22500, lr=0.106500, batch loss=0.024272, epoch loss=0.242634 Batch=959, step=22560, lr=0.106250, batch loss=0.012392, epoch loss=0.255026 Batch=1019, step=22620, lr=0.106000, batch loss=0.013654, epoch loss=0.268680 Batch=1079, step=22680, lr=0.105500, batch loss=0.001103, epoch loss=0.269783 Batch=1139, step=22740, lr=0.105500, batch loss=0.010875, epoch loss=0.280658 Batch=1199, step=22800, lr=0.105250, batch loss=0.005564, epoch loss=0.286223 Epoch=18, step=22800, lr=0.105250, epoch loss=0.286223 Batch=59, step=22860, lr=0.104750, batch loss=0.002265, epoch loss=0.002265 Batch=119, step=22920, lr=0.104500, batch loss=0.005950, epoch loss=0.008215 Batch=179, step=22980, lr=0.104500, batch loss=0.010839, epoch loss=0.019054 Batch=239, step=23040, lr=0.104250, batch loss=0.010063, epoch loss=0.029117 Batch=299, step=23100, lr=0.103750, batch loss=0.001530, epoch loss=0.030647 Batch=359, step=23160, lr=0.103500, batch loss=0.010943, epoch loss=0.041590 Batch=419, step=23220, lr=0.103500, batch loss=0.010886, epoch loss=0.052476 Batch=479, step=23280, lr=0.103250, batch loss=0.002425, epoch loss=0.054902 Batch=539, step=23340, lr=0.103000, batch loss=0.017125, epoch loss=0.072026 Batch=599, step=23400, lr=0.102750, batch loss=0.013931, epoch loss=0.085957 Batch=659, step=23460, lr=0.102500, batch loss=0.010376, epoch loss=0.096333 Batch=719, step=23520, lr=0.102000, batch loss=0.016754, epoch loss=0.113088 Batch=779, step=23580, lr=0.102000, batch loss=0.021431, epoch loss=0.134519 Batch=839, step=23640, lr=0.101500, batch loss=0.027789, epoch loss=0.162308 Batch=899, step=23700, lr=0.101500, batch loss=0.022168, epoch loss=0.184477 Batch=959, step=23760, lr=0.101000, batch loss=0.010867, epoch loss=0.195344 Batch=1019, step=23820, lr=0.101000, batch loss=0.011631, epoch loss=0.206975 Batch=1079, step=23880, lr=0.100500, batch loss=0.001018, epoch loss=0.207993 Batch=1139, step=23940, lr=0.100250, batch loss=0.009184, epoch loss=0.217176 Batch=1199, step=24000, lr=0.100000, batch loss=0.004834, epoch loss=0.222011 Epoch=19, step=24000, lr=0.100000, epoch loss=0.222011 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##**************...*****************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │**************.......................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-09 15:40.19 ---> saved as "4c1853df6a706ea52e06ae5a1d8ea4643d6091ca1072ef1151e95021696c3545" Job succeeded 2025-05-09 15:40.20: Job succeeded