2025-05-09 13:10.43: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a68de5ebb7906aa5c1a5b7b2cfccfe9879c5ca5d) (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 a68de5eb 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 13:10.43: 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 13:10.43: 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 13:10.43: Waiting for resource in pool OCluster 2025-05-09 13:10.43: Waiting for worker… 2025-05-09 13:10.43: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at e847d841 Fix overlooked metal pinned dependency HEAD is now at a68de5eb Formatting (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 13:10.44 ---> 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 13:10.44 ---> 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 13:10.44 ---> 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 13:10.44 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-09 13:10.44 ---> 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 13:10.44 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-09 13:10.44 ---> 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 13:10.44 ---> using "26beb80314b675d138bba30192f965393c8083f9cbd832ccf014196879db9bc5" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-09 13:10.44 ---> 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 13:10.44 ---> 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 13:10.44 ---> using "c151cf1c8cbcb6155f815e7c147004f9685dff84d11ab660ff56be22c684af09" from cache /src: (copy (src .) (dst /src)) 2025-05-09 13:10.48 ---> saved as "36c591207de34c348a66d79b7561668a3d5bfefd3cf1827e3f850343e28b3f75" /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/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 '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 '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 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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626097 Batch=299, step=300, lr=0.198750, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198500, batch loss=1.337152, epoch loss=38.400392 Batch=419, step=420, lr=0.198500, batch loss=0.611795, epoch loss=39.012187 Batch=479, step=480, lr=0.198000, batch loss=0.745675, epoch loss=39.757861 Batch=539, step=540, lr=0.197750, batch loss=0.690571, epoch loss=40.448432 Batch=599, step=600, lr=0.197500, batch loss=1.100677, epoch loss=41.549110 Batch=659, step=660, lr=0.197250, batch loss=0.481930, epoch loss=42.031040 Batch=719, step=720, lr=0.197000, batch loss=0.410691, epoch loss=42.441731 Batch=779, step=780, lr=0.197000, batch loss=0.469145, epoch loss=42.910876 Batch=839, step=840, lr=0.196500, batch loss=0.450510, epoch loss=43.361386 Batch=899, step=900, lr=0.196250, batch loss=0.383690, epoch loss=43.745076 Batch=959, step=960, lr=0.196000, batch loss=0.267898, epoch loss=44.012974 Batch=1019, step=1020, lr=0.196000, batch loss=0.487862, epoch loss=44.500836 Batch=1079, step=1080, lr=0.195750, batch loss=0.265288, epoch loss=44.766124 Batch=1139, step=1140, lr=0.195250, batch loss=0.331105, epoch loss=45.097229 Batch=1199, step=1200, lr=0.195250, batch loss=0.265265, epoch loss=45.362494 Epoch=0, step=1200, lr=0.195250, epoch loss=45.362494 Batch=59, step=1260, lr=0.194750, batch loss=0.263328, epoch loss=0.263328 Batch=119, step=1320, lr=0.194750, batch loss=0.204814, epoch loss=0.468142 Batch=179, step=1380, lr=0.194250, batch loss=0.245326, epoch loss=0.713467 Batch=239, step=1440, lr=0.194250, batch loss=0.349895, epoch loss=1.063362 Batch=299, step=1500, lr=0.194000, batch loss=0.239848, epoch loss=1.303210 Batch=359, step=1560, lr=0.193500, batch loss=0.319193, epoch loss=1.622403 Batch=419, step=1620, lr=0.193500, batch loss=0.312777, epoch loss=1.935180 Batch=479, step=1680, lr=0.193000, batch loss=0.276785, epoch loss=2.211965 Batch=539, step=1740, lr=0.193000, batch loss=0.209688, epoch loss=2.421653 Batch=599, step=1800, lr=0.192500, batch loss=0.247696, epoch loss=2.669349 Batch=659, step=1860, lr=0.192250, batch loss=0.367331, epoch loss=3.036680 Batch=719, step=1920, lr=0.192000, batch loss=0.358743, epoch loss=3.395423 Batch=779, step=1980, lr=0.192000, batch loss=0.389726, epoch loss=3.785148 Batch=839, step=2040, lr=0.191750, batch loss=0.346840, epoch loss=4.131988 Batch=899, step=2100, lr=0.191250, batch loss=0.323500, epoch loss=4.455488 Batch=959, step=2160, lr=0.191250, batch loss=0.256100, epoch loss=4.711587 Batch=1019, step=2220, lr=0.190750, batch loss=0.398950, epoch loss=5.110537 Batch=1079, step=2280, lr=0.190750, batch loss=0.236211, epoch loss=5.346748 Batch=1139, step=2340, lr=0.190250, batch loss=0.278267, epoch loss=5.625015 Batch=1199, step=2400, lr=0.190000, batch loss=0.213595, epoch loss=5.838610 Epoch=1, step=2400, lr=0.190000, epoch loss=5.838610 Batch=59, step=2460, lr=0.190000, batch loss=0.237200, epoch loss=0.237200 Batch=119, step=2520, lr=0.189750, batch loss=0.195343, epoch loss=0.432543 Batch=179, step=2580, lr=0.189500, batch loss=0.223899, epoch loss=0.656442 Batch=239, step=2640, lr=0.189250, batch loss=0.332019, epoch loss=0.988461 Batch=299, step=2700, lr=0.188750, batch loss=0.205705, epoch loss=1.194166 Batch=359, step=2760, lr=0.188500, batch loss=0.290651, epoch loss=1.484817 Batch=419, step=2820, lr=0.188250, batch loss=0.282797, epoch loss=1.767614 Batch=479, step=2880, lr=0.188000, batch loss=0.254900, epoch loss=2.022514 Batch=539, step=2940, lr=0.187750, batch loss=0.193213, epoch loss=2.215727 Batch=599, step=3000, lr=0.187500, batch loss=0.231830, epoch loss=2.447557 Batch=659, step=3060, lr=0.187250, batch loss=0.345948, epoch loss=2.793505 Batch=719, step=3120, lr=0.187000, batch loss=0.340873, epoch loss=3.134378 Batch=779, step=3180, lr=0.186750, batch loss=0.366823, epoch loss=3.501201 Batch=839, step=3240, lr=0.186500, batch loss=0.323518, epoch loss=3.824720 Batch=899, step=3300, lr=0.186250, batch loss=0.282481, epoch loss=4.107201 Batch=959, step=3360, lr=0.186250, batch loss=0.206637, epoch loss=4.313838 Batch=1019, step=3420, lr=0.185750, batch loss=0.314306, epoch loss=4.628143 Batch=1079, step=3480, lr=0.185500, batch loss=0.191373, epoch loss=4.819516 Batch=1139, step=3540, lr=0.185500, batch loss=0.233493, epoch loss=5.053009 Batch=1199, step=3600, lr=0.185250, batch loss=0.199399, epoch loss=5.252407 Epoch=2, step=3600, lr=0.185250, epoch loss=5.252407 Batch=59, step=3660, lr=0.184750, batch loss=0.227518, epoch loss=0.227518 Batch=119, step=3720, lr=0.184500, batch loss=0.192608, epoch loss=0.420126 Batch=179, step=3780, lr=0.184250, batch loss=0.212191, epoch loss=0.632318 Batch=239, step=3840, lr=0.184000, batch loss=0.318772, epoch loss=0.951090 Batch=299, step=3900, lr=0.184000, batch loss=0.209023, epoch loss=1.160113 Batch=359, step=3960, lr=0.183500, batch loss=0.285841, epoch loss=1.445954 Batch=419, step=4020, lr=0.183250, batch loss=0.273379, epoch loss=1.719333 Batch=479, step=4080, lr=0.183000, batch loss=0.246595, epoch loss=1.965928 Batch=539, step=4140, lr=0.182750, batch loss=0.195659, epoch loss=2.161587 Batch=599, step=4200, lr=0.182500, batch loss=0.243993, epoch loss=2.405580 Batch=659, step=4260, lr=0.182500, batch loss=0.329098, epoch loss=2.734678 Batch=719, step=4320, lr=0.182000, batch loss=0.328232, epoch loss=3.062911 Batch=779, step=4380, lr=0.181750, batch loss=0.351970, epoch loss=3.414881 Batch=839, step=4440, lr=0.181500, batch loss=0.318655, epoch loss=3.733536 Batch=899, step=4500, lr=0.181250, batch loss=0.293618, epoch loss=4.027154 Batch=959, step=4560, lr=0.181000, batch loss=0.241281, epoch loss=4.268435 Batch=1019, step=4620, lr=0.181000, batch loss=0.341911, epoch loss=4.610345 Batch=1079, step=4680, lr=0.180500, batch loss=0.220138, epoch loss=4.830483 Batch=1139, step=4740, lr=0.180500, batch loss=0.248324, epoch loss=5.078807 Batch=1199, step=4800, lr=0.180000, batch loss=0.191851, epoch loss=5.270658 Epoch=3, step=4800, lr=0.180000, epoch loss=5.270658 Batch=59, step=4860, lr=0.180000, batch loss=0.229132, epoch loss=0.229132 Batch=119, step=4920, lr=0.179750, batch loss=0.189461, epoch loss=0.418593 Batch=179, step=4980, lr=0.179500, batch loss=0.207148, epoch loss=0.625741 Batch=239, step=5040, lr=0.179000, batch loss=0.308875, epoch loss=0.934616 Batch=299, step=5100, lr=0.179000, batch loss=0.208822, epoch loss=1.143438 Batch=359, step=5160, lr=0.178750, batch loss=0.274975, epoch loss=1.418413 Batch=419, step=5220, lr=0.178250, batch loss=0.265381, epoch loss=1.683794 Batch=479, step=5280, lr=0.178000, batch loss=0.241400, epoch loss=1.925194 Batch=539, step=5340, lr=0.178000, batch loss=0.190929, epoch loss=2.116123 Batch=599, step=5400, lr=0.177750, batch loss=0.230688, epoch loss=2.346811 Batch=659, step=5460, lr=0.177250, batch loss=0.326164, epoch loss=2.672975 Batch=719, step=5520, lr=0.177000, batch loss=0.333872, epoch loss=3.006847 Batch=779, step=5580, lr=0.176750, batch loss=0.343590, epoch loss=3.350438 Batch=839, step=5640, lr=0.176500, batch loss=0.309853, epoch loss=3.660291 Batch=899, step=5700, lr=0.176250, batch loss=0.271830, epoch loss=3.932121 Batch=959, step=5760, lr=0.176000, batch loss=0.217388, epoch loss=4.149509 Batch=1019, step=5820, lr=0.176000, batch loss=0.336973, epoch loss=4.486481 Batch=1079, step=5880, lr=0.175500, batch loss=0.189548, epoch loss=4.676029 Batch=1139, step=5940, lr=0.175250, batch loss=0.221578, epoch loss=4.897608 Batch=1199, step=6000, lr=0.175000, batch loss=0.187660, epoch loss=5.085267 Epoch=4, step=6000, lr=0.175000, epoch loss=5.085267 Batch=59, step=6060, lr=0.174750, batch loss=0.231860, epoch loss=0.231860 Batch=119, step=6120, lr=0.174500, batch loss=0.194124, epoch loss=0.425984 Batch=179, step=6180, lr=0.174500, batch loss=0.201260, epoch loss=0.627244 Batch=239, step=6240, lr=0.174250, batch loss=0.303682, epoch loss=0.930926 Batch=299, step=6300, lr=0.173750, batch loss=0.209193, epoch loss=1.140119 Batch=359, step=6360, lr=0.173750, batch loss=0.272777, epoch loss=1.412897 Batch=419, step=6420, lr=0.173250, batch loss=0.268343, epoch loss=1.681240 Batch=479, step=6480, lr=0.173250, batch loss=0.241447, epoch loss=1.922687 Batch=539, step=6540, lr=0.173000, batch loss=0.196311, epoch loss=2.118998 Batch=599, step=6600, lr=0.172500, batch loss=0.232458, epoch loss=2.351456 Batch=659, step=6660, lr=0.172250, batch loss=0.315294, epoch loss=2.666750 Batch=719, step=6720, lr=0.172000, batch loss=0.319575, epoch loss=2.986325 Batch=779, step=6780, lr=0.172000, batch loss=0.341666, epoch loss=3.327990 Batch=839, step=6840, lr=0.171750, batch loss=0.300086, epoch loss=3.628077 Batch=899, step=6900, lr=0.171250, batch loss=0.268313, epoch loss=3.896390 Batch=959, step=6960, lr=0.171000, batch loss=0.210901, epoch loss=4.107291 Batch=1019, step=7020, lr=0.170750, batch loss=0.325539, epoch loss=4.432829 Batch=1079, step=7080, lr=0.170500, batch loss=0.176316, epoch loss=4.609145 Batch=1139, step=7140, lr=0.170250, batch loss=0.213147, epoch loss=4.822292 Batch=1199, step=7200, lr=0.170250, batch loss=0.187455, epoch loss=5.009747 Epoch=5, step=7200, lr=0.170250, epoch loss=5.009747 Batch=59, step=7260, lr=0.169750, batch loss=0.232597, epoch loss=0.232597 Batch=119, step=7320, lr=0.169750, batch loss=0.184194, epoch loss=0.416791 Batch=179, step=7380, lr=0.169500, batch loss=0.194795, epoch loss=0.611587 Batch=239, step=7440, lr=0.169000, batch loss=0.293210, epoch loss=0.904796 Batch=299, step=7500, lr=0.169000, batch loss=0.205450, epoch loss=1.110246 Batch=359, step=7560, lr=0.168500, batch loss=0.265943, epoch loss=1.376189 Batch=419, step=7620, lr=0.168250, batch loss=0.257112, epoch loss=1.633301 Batch=479, step=7680, lr=0.168250, batch loss=0.236677, epoch loss=1.869978 Batch=539, step=7740, lr=0.167750, batch loss=0.188902, epoch loss=2.058880 Batch=599, step=7800, lr=0.167500, batch loss=0.224786, epoch loss=2.283666 Batch=659, step=7860, lr=0.167250, batch loss=0.304823, epoch loss=2.588489 Batch=719, step=7920, lr=0.167000, batch loss=0.308527, epoch loss=2.897016 Batch=779, step=7980, lr=0.166750, batch loss=0.321091, epoch loss=3.218107 Batch=839, step=8040, lr=0.166500, batch loss=0.297204, epoch loss=3.515311 Batch=899, step=8100, lr=0.166500, batch loss=0.258855, epoch loss=3.774166 Batch=959, step=8160, lr=0.166000, batch loss=0.209904, epoch loss=3.984070 Batch=1019, step=8220, lr=0.165750, batch loss=0.315502, epoch loss=4.299572 Batch=1079, step=8280, lr=0.165500, batch loss=0.171449, epoch loss=4.471021 Batch=1139, step=8340, lr=0.165250, batch loss=0.207389, epoch loss=4.678410 Batch=1199, step=8400, lr=0.165250, batch loss=0.178917, epoch loss=4.857327 Epoch=6, step=8400, lr=0.165250, epoch loss=4.857327 Batch=59, step=8460, lr=0.164750, batch loss=0.228747, epoch loss=0.228747 Batch=119, step=8520, lr=0.164500, batch loss=0.176006, epoch loss=0.404753 Batch=179, step=8580, lr=0.164250, batch loss=0.187374, epoch loss=0.592127 Batch=239, step=8640, lr=0.164000, batch loss=0.277538, epoch loss=0.869665 Batch=299, step=8700, lr=0.163750, batch loss=0.193419, epoch loss=1.063084 Batch=359, step=8760, lr=0.163500, batch loss=0.247593, epoch loss=1.310677 Batch=419, step=8820, lr=0.163250, batch loss=0.246086, epoch loss=1.556763 Batch=479, step=8880, lr=0.163000, batch loss=0.229063, epoch loss=1.785826 Batch=539, step=8940, lr=0.162750, batch loss=0.179447, epoch loss=1.965273 Batch=599, step=9000, lr=0.162750, batch loss=0.218521, epoch loss=2.183794 Batch=659, step=9060, lr=0.162250, batch loss=0.294230, epoch loss=2.478024 Batch=719, step=9120, lr=0.162250, batch loss=0.292923, epoch loss=2.770947 Batch=779, step=9180, lr=0.162000, batch loss=0.316411, epoch loss=3.087359 Batch=839, step=9240, lr=0.161500, batch loss=0.286238, epoch loss=3.373597 Batch=899, step=9300, lr=0.161500, batch loss=0.252116, epoch loss=3.625713 Batch=959, step=9360, lr=0.161000, batch loss=0.188767, epoch loss=3.814480 Batch=1019, step=9420, lr=0.160750, batch loss=0.311909, epoch loss=4.126389 Batch=1079, step=9480, lr=0.160750, batch loss=0.193530, epoch loss=4.319919 Batch=1139, step=9540, lr=0.160250, batch loss=0.210619, epoch loss=4.530538 Batch=1199, step=9600, lr=0.160250, batch loss=0.166889, epoch loss=4.697427 Epoch=7, step=9600, lr=0.160250, epoch loss=4.697427 Batch=59, step=9660, lr=0.159750, batch loss=0.194144, epoch loss=0.194144 Batch=119, step=9720, lr=0.159500, batch loss=0.162569, epoch loss=0.356713 Batch=179, step=9780, lr=0.159250, batch loss=0.178628, epoch loss=0.535341 Batch=239, step=9840, lr=0.159250, batch loss=0.260719, epoch loss=0.796060 Batch=299, step=9900, lr=0.158750, batch loss=0.178162, epoch loss=0.974222 Batch=359, step=9960, lr=0.158500, batch loss=0.233906, epoch loss=1.208128 Batch=419, step=10020, lr=0.158250, batch loss=0.231764, epoch loss=1.439892 Batch=479, step=10080, lr=0.158250, batch loss=0.214498, epoch loss=1.654390 Batch=539, step=10140, lr=0.157750, batch loss=0.168965, epoch loss=1.823355 Batch=599, step=10200, lr=0.157750, batch loss=0.202777, epoch loss=2.026133 Batch=659, step=10260, lr=0.157250, batch loss=0.281822, epoch loss=2.307955 Batch=719, step=10320, lr=0.157000, batch loss=0.280193, epoch loss=2.588147 Batch=779, step=10380, lr=0.156750, batch loss=0.298642, epoch loss=2.886789 Batch=839, step=10440, lr=0.156500, batch loss=0.272357, epoch loss=3.159146 Batch=899, step=10500, lr=0.156250, batch loss=0.237974, epoch loss=3.397121 Batch=959, step=10560, lr=0.156250, batch loss=0.201864, epoch loss=3.598985 Batch=1019, step=10620, lr=0.155750, batch loss=0.291024, epoch loss=3.890009 Batch=1079, step=10680, lr=0.155500, batch loss=0.184372, epoch loss=4.074381 Batch=1139, step=10740, lr=0.155250, batch loss=0.204348, epoch loss=4.278729 Batch=1199, step=10800, lr=0.155250, batch loss=0.156026, epoch loss=4.434755 Epoch=8, step=10800, lr=0.155250, epoch loss=4.434755 Batch=59, step=10860, lr=0.155000, batch loss=0.177857, epoch loss=0.177857 Batch=119, step=10920, lr=0.154750, batch loss=0.151684, epoch loss=0.329541 Batch=179, step=10980, lr=0.154500, batch loss=0.166240, epoch loss=0.495781 Batch=239, step=11040, lr=0.154250, batch loss=0.247739, epoch loss=0.743520 Batch=299, step=11100, lr=0.154000, batch loss=0.168014, epoch loss=0.911534 Batch=359, step=11160, lr=0.153750, batch loss=0.221709, epoch loss=1.133243 Batch=419, step=11220, lr=0.153500, batch loss=0.215956, epoch loss=1.349198 Batch=479, step=11280, lr=0.153000, batch loss=0.214065, epoch loss=1.563264 Batch=539, step=11340, lr=0.152750, batch loss=0.169284, epoch loss=1.732548 Batch=599, step=11400, lr=0.152500, batch loss=0.175171, epoch loss=1.907718 Batch=659, step=11460, lr=0.152250, batch loss=0.262647, epoch loss=2.170365 Batch=719, step=11520, lr=0.152250, batch loss=0.264964, epoch loss=2.435329 Batch=779, step=11580, lr=0.151750, batch loss=0.271380, epoch loss=2.706709 Batch=839, step=11640, lr=0.151500, batch loss=0.251523, epoch loss=2.958232 Batch=899, step=11700, lr=0.151500, batch loss=0.217616, epoch loss=3.175848 Batch=959, step=11760, lr=0.151250, batch loss=0.187329, epoch loss=3.363177 Batch=1019, step=11820, lr=0.151000, batch loss=0.277315, epoch loss=3.640492 Batch=1079, step=11880, lr=0.150500, batch loss=0.147512, epoch loss=3.788004 Batch=1139, step=11940, lr=0.150500, batch loss=0.180487, epoch loss=3.968491 Batch=1199, step=12000, lr=0.150250, batch loss=0.140094, epoch loss=4.108585 Epoch=9, step=12000, lr=0.150250, epoch loss=4.108585 Batch=59, step=12060, lr=0.149750, batch loss=0.161826, epoch loss=0.161826 Batch=119, step=12120, lr=0.149750, batch loss=0.137349, epoch loss=0.299175 Batch=179, step=12180, lr=0.149250, batch loss=0.151759, epoch loss=0.450934 Batch=239, step=12240, lr=0.149000, batch loss=0.219999, epoch loss=0.670932 Batch=299, step=12300, lr=0.148750, batch loss=0.142276, epoch loss=0.813208 Batch=359, step=12360, lr=0.148500, batch loss=0.198201, epoch loss=1.011409 Batch=419, step=12420, lr=0.148500, batch loss=0.206979, epoch loss=1.218389 Batch=479, step=12480, lr=0.148250, batch loss=0.179559, epoch loss=1.397947 Batch=539, step=12540, lr=0.147750, batch loss=0.142528, epoch loss=1.540475 Batch=599, step=12600, lr=0.147500, batch loss=0.148841, epoch loss=1.689315 Batch=659, step=12660, lr=0.147250, batch loss=0.228322, epoch loss=1.917637 Batch=719, step=12720, lr=0.147000, batch loss=0.242479, epoch loss=2.160116 Batch=779, step=12780, lr=0.146750, batch loss=0.264090, epoch loss=2.424206 Batch=839, step=12840, lr=0.146500, batch loss=0.237650, epoch loss=2.661856 Batch=899, step=12900, lr=0.146250, batch loss=0.196333, epoch loss=2.858189 Batch=959, step=12960, lr=0.146000, batch loss=0.160774, epoch loss=3.018963 Batch=1019, step=13020, lr=0.146000, batch loss=0.261173, epoch loss=3.280136 Batch=1079, step=13080, lr=0.145500, batch loss=0.116125, epoch loss=3.396261 Batch=1139, step=13140, lr=0.145250, batch loss=0.154633, epoch loss=3.550893 Batch=1199, step=13200, lr=0.145000, batch loss=0.118693, epoch loss=3.669587 Epoch=10, step=13200, lr=0.145000, epoch loss=3.669587 Batch=59, step=13260, lr=0.145000, batch loss=0.143930, epoch loss=0.143930 Batch=119, step=13320, lr=0.144500, batch loss=0.121102, epoch loss=0.265031 Batch=179, step=13380, lr=0.144250, batch loss=0.129029, epoch loss=0.394060 Batch=239, step=13440, lr=0.144250, batch loss=0.189294, epoch loss=0.583354 Batch=299, step=13500, lr=0.143750, batch loss=0.114308, epoch loss=0.697662 Batch=359, step=13560, lr=0.143500, batch loss=0.162592, epoch loss=0.860254 Batch=419, step=13620, lr=0.143250, batch loss=0.161342, epoch loss=1.021596 Batch=479, step=13680, lr=0.143250, batch loss=0.147774, epoch loss=1.169370 Batch=539, step=13740, lr=0.142750, batch loss=0.118609, epoch loss=1.287979 Batch=599, step=13800, lr=0.142500, batch loss=0.121277, epoch loss=1.409256 Batch=659, step=13860, lr=0.142500, batch loss=0.178084, epoch loss=1.587340 Batch=719, step=13920, lr=0.142000, batch loss=0.174520, epoch loss=1.761860 Batch=779, step=13980, lr=0.141750, batch loss=0.181430, epoch loss=1.943290 Batch=839, step=14040, lr=0.141750, batch loss=0.186508, epoch loss=2.129797 Batch=899, step=14100, lr=0.141250, batch loss=0.159000, epoch loss=2.288798 Batch=959, step=14160, lr=0.141000, batch loss=0.140135, epoch loss=2.428933 Batch=1019, step=14220, lr=0.141000, batch loss=0.309969, epoch loss=2.738901 Batch=1079, step=14280, lr=0.140500, batch loss=0.085542, epoch loss=2.824444 Batch=1139, step=14340, lr=0.140500, batch loss=0.121589, epoch loss=2.946033 Batch=1199, step=14400, lr=0.140000, batch loss=0.090900, epoch loss=3.036933 Epoch=11, step=14400, lr=0.140000, epoch loss=3.036933 Batch=59, step=14460, lr=0.140000, batch loss=0.105659, epoch loss=0.105659 Batch=119, step=14520, lr=0.139500, batch loss=0.100883, epoch loss=0.206542 Batch=179, step=14580, lr=0.139250, batch loss=0.104539, epoch loss=0.311082 Batch=239, step=14640, lr=0.139000, batch loss=0.143600, epoch loss=0.454682 Batch=299, step=14700, lr=0.138750, batch loss=0.079485, epoch loss=0.534167 Batch=359, step=14760, lr=0.138500, batch loss=0.121649, epoch loss=0.655816 Batch=419, step=14820, lr=0.138250, batch loss=0.130393, epoch loss=0.786209 Batch=479, step=14880, lr=0.138000, batch loss=0.103223, epoch loss=0.889432 Batch=539, step=14940, lr=0.137750, batch loss=0.100164, epoch loss=0.989596 Batch=599, step=15000, lr=0.137500, batch loss=0.085120, epoch loss=1.074716 Batch=659, step=15060, lr=0.137250, batch loss=0.128905, epoch loss=1.203621 Batch=719, step=15120, lr=0.137250, batch loss=0.124605, epoch loss=1.328225 Batch=779, step=15180, lr=0.136750, batch loss=0.127964, epoch loss=1.456189 Batch=839, step=15240, lr=0.136750, batch loss=0.149939, epoch loss=1.606128 Batch=899, step=15300, lr=0.136500, batch loss=0.221232, epoch loss=1.827360 Batch=959, step=15360, lr=0.136250, batch loss=0.057549, epoch loss=1.884909 Batch=1019, step=15420, lr=0.136000, batch loss=0.151913, epoch loss=2.036822 Batch=1079, step=15480, lr=0.135750, batch loss=0.058520, epoch loss=2.095342 Batch=1139, step=15540, lr=0.135250, batch loss=0.121022, epoch loss=2.216363 Batch=1199, step=15600, lr=0.135250, batch loss=0.058713, epoch loss=2.275077 Epoch=12, step=15600, lr=0.135250, epoch loss=2.275077 Batch=59, step=15660, lr=0.134750, batch loss=0.078402, epoch loss=0.078402 Batch=119, step=15720, lr=0.134500, batch loss=0.122668, epoch loss=0.201070 Batch=179, step=15780, lr=0.134250, batch loss=0.092525, epoch loss=0.293595 Batch=239, step=15840, lr=0.134000, batch loss=0.095636, epoch loss=0.389230 Batch=299, step=15900, lr=0.134000, batch loss=0.038737, epoch loss=0.427967 Batch=359, step=15960, lr=0.133500, batch loss=0.082615, epoch loss=0.510582 Batch=419, step=16020, lr=0.133250, batch loss=0.079938, epoch loss=0.590520 Batch=479, step=16080, lr=0.133000, batch loss=0.061198, epoch loss=0.651718 Batch=539, step=16140, lr=0.132750, batch loss=0.063812, epoch loss=0.715531 Batch=599, step=16200, lr=0.132500, batch loss=0.151330, epoch loss=0.866861 Batch=659, step=16260, lr=0.132250, batch loss=0.088348, epoch loss=0.955209 Batch=719, step=16320, lr=0.132250, batch loss=0.136856, epoch loss=1.092065 Batch=779, step=16380, lr=0.131750, batch loss=0.325386, epoch loss=1.417451 Batch=839, step=16440, lr=0.131500, batch loss=0.100168, epoch loss=1.517619 Batch=899, step=16500, lr=0.131250, batch loss=0.093103, epoch loss=1.610722 Batch=959, step=16560, lr=0.131250, batch loss=0.035793, epoch loss=1.646515 Batch=1019, step=16620, lr=0.130750, batch loss=0.059577, epoch loss=1.706092 Batch=1079, step=16680, lr=0.130750, batch loss=0.053864, epoch loss=1.759956 Batch=1139, step=16740, lr=0.130250, batch loss=0.095974, epoch loss=1.855930 Batch=1199, step=16800, lr=0.130000, batch loss=0.047056, epoch loss=1.902987 Epoch=13, step=16800, lr=0.130000, epoch loss=1.902987 Batch=59, step=16860, lr=0.129750, batch loss=0.037101, epoch loss=0.037101 Batch=119, step=16920, lr=0.129500, batch loss=0.037082, epoch loss=0.074183 Batch=179, step=16980, lr=0.129500, batch loss=0.044749, epoch loss=0.118931 Batch=239, step=17040, lr=0.129000, batch loss=0.061324, epoch loss=0.180255 Batch=299, step=17100, lr=0.129000, batch loss=0.018977, epoch loss=0.199232 Batch=359, step=17160, lr=0.128500, batch loss=0.042657, epoch loss=0.241889 Batch=419, step=17220, lr=0.128250, batch loss=0.045429, epoch loss=0.287319 Batch=479, step=17280, lr=0.128000, batch loss=0.025765, epoch loss=0.313084 Batch=539, step=17340, lr=0.128000, batch loss=0.048648, epoch loss=0.361731 Batch=599, step=17400, lr=0.127750, batch loss=0.035621, epoch loss=0.397352 Batch=659, step=17460, lr=0.127250, batch loss=0.048484, epoch loss=0.445836 Batch=719, step=17520, lr=0.127000, batch loss=0.045940, epoch loss=0.491776 Batch=779, step=17580, lr=0.127000, batch loss=0.083394, epoch loss=0.575170 Batch=839, step=17640, lr=0.126750, batch loss=0.197438, epoch loss=0.772608 Batch=899, step=17700, lr=0.126250, batch loss=0.054396, epoch loss=0.827004 Batch=959, step=17760, lr=0.126000, batch loss=0.022593, epoch loss=0.849597 Batch=1019, step=17820, lr=0.125750, batch loss=0.047961, epoch loss=0.897559 Batch=1079, step=17880, lr=0.125500, batch loss=0.020279, epoch loss=0.917838 Batch=1139, step=17940, lr=0.125250, batch loss=0.050682, epoch loss=0.968521 Batch=1199, step=18000, lr=0.125250, batch loss=0.021535, epoch loss=0.990055 Epoch=14, step=18000, lr=0.125250, epoch loss=0.990055 Batch=59, step=18060, lr=0.125000, batch loss=0.012722, epoch loss=0.012722 Batch=119, step=18120, lr=0.124750, batch loss=0.018877, epoch loss=0.031599 Batch=179, step=18180, lr=0.124250, batch loss=0.028593, epoch loss=0.060192 Batch=239, step=18240, lr=0.124000, batch loss=0.035100, epoch loss=0.095293 Batch=299, step=18300, lr=0.124000, batch loss=0.015237, epoch loss=0.110529 Batch=359, step=18360, lr=0.123500, batch loss=0.022689, epoch loss=0.133218 Batch=419, step=18420, lr=0.123500, batch loss=0.027406, epoch loss=0.160624 Batch=479, step=18480, lr=0.123000, batch loss=0.025201, epoch loss=0.185825 Batch=539, step=18540, lr=0.122750, batch loss=0.055975, epoch loss=0.241800 Batch=599, step=18600, lr=0.122500, batch loss=0.027214, epoch loss=0.269015 Batch=659, step=18660, lr=0.122500, batch loss=0.031074, epoch loss=0.300088 Batch=719, step=18720, lr=0.122000, batch loss=0.031411, epoch loss=0.331499 Batch=779, step=18780, lr=0.121750, batch loss=0.081132, epoch loss=0.412631 Batch=839, step=18840, lr=0.121500, batch loss=0.050006, epoch loss=0.462637 Batch=899, step=18900, lr=0.121250, batch loss=0.049513, epoch loss=0.512150 Batch=959, step=18960, lr=0.121000, batch loss=0.013466, epoch loss=0.525616 Batch=1019, step=19020, lr=0.120750, batch loss=0.024920, epoch loss=0.550536 Batch=1079, step=19080, lr=0.120500, batch loss=0.011467, epoch loss=0.562004 Batch=1139, step=19140, lr=0.120500, batch loss=0.023694, epoch loss=0.585697 Batch=1199, step=19200, lr=0.120250, batch loss=0.009238, epoch loss=0.594935 Epoch=15, step=19200, lr=0.120250, epoch loss=0.594935 Batch=59, step=19260, lr=0.119750, batch loss=0.004861, epoch loss=0.004861 Batch=119, step=19320, lr=0.119750, batch loss=0.019977, epoch loss=0.024838 Batch=179, step=19380, lr=0.119500, batch loss=0.057832, epoch loss=0.082670 Batch=239, step=19440, lr=0.119000, batch loss=0.023154, epoch loss=0.105824 Batch=299, step=19500, lr=0.118750, batch loss=0.017524, epoch loss=0.123348 Batch=359, step=19560, lr=0.118750, batch loss=0.033632, epoch loss=0.156980 Batch=419, step=19620, lr=0.118250, batch loss=0.020686, epoch loss=0.177666 Batch=479, step=19680, lr=0.118250, batch loss=0.007936, epoch loss=0.185602 Batch=539, step=19740, lr=0.117750, batch loss=0.018676, epoch loss=0.204278 Batch=599, step=19800, lr=0.117500, batch loss=0.021496, epoch loss=0.225774 Batch=659, step=19860, lr=0.117250, batch loss=0.016882, epoch loss=0.242656 Batch=719, step=19920, lr=0.117250, batch loss=0.032011, epoch loss=0.274667 Batch=779, step=19980, lr=0.116750, batch loss=0.063209, epoch loss=0.337876 Batch=839, step=20040, lr=0.116500, batch loss=0.030726, epoch loss=0.368602 Batch=899, step=20100, lr=0.116250, batch loss=0.029096, epoch loss=0.397699 Batch=959, step=20160, lr=0.116000, batch loss=0.013126, epoch loss=0.410825 Batch=1019, step=20220, lr=0.115750, batch loss=0.015230, epoch loss=0.426055 Batch=1079, step=20280, lr=0.115500, batch loss=0.002601, epoch loss=0.428655 Batch=1139, step=20340, lr=0.115250, batch loss=0.015763, epoch loss=0.444418 Batch=1199, step=20400, lr=0.115000, batch loss=0.005864, epoch loss=0.450282 Epoch=16, step=20400, lr=0.115000, epoch loss=0.450282 Batch=59, step=20460, lr=0.114750, batch loss=0.002871, epoch loss=0.002871 Batch=119, step=20520, lr=0.114500, batch loss=0.011858, epoch loss=0.014728 Batch=179, step=20580, lr=0.114250, batch loss=0.025436, epoch loss=0.040164 Batch=239, step=20640, lr=0.114000, batch loss=0.013596, epoch loss=0.053760 Batch=299, step=20700, lr=0.113750, batch loss=0.004189, epoch loss=0.057949 Batch=359, step=20760, lr=0.113750, batch loss=0.014904, epoch loss=0.072853 Batch=419, step=20820, lr=0.113250, batch loss=0.015236, epoch loss=0.088088 Batch=479, step=20880, lr=0.113000, batch loss=0.005608, epoch loss=0.093696 Batch=539, step=20940, lr=0.112750, batch loss=0.017135, epoch loss=0.110831 Batch=599, step=21000, lr=0.112500, batch loss=0.018122, epoch loss=0.128953 Batch=659, step=21060, lr=0.112250, batch loss=0.013927, epoch loss=0.142880 Batch=719, step=21120, lr=0.112000, batch loss=0.043752, epoch loss=0.186632 Batch=779, step=21180, lr=0.111750, batch loss=0.066711, epoch loss=0.253342 Batch=839, step=21240, lr=0.111500, batch loss=0.024139, epoch loss=0.277482 Batch=899, step=21300, lr=0.111250, batch loss=0.032109, epoch loss=0.309591 Batch=959, step=21360, lr=0.111000, batch loss=0.010963, epoch loss=0.320554 Batch=1019, step=21420, lr=0.110750, batch loss=0.012752, epoch loss=0.333306 Batch=1079, step=21480, lr=0.110500, batch loss=0.002254, epoch loss=0.335560 Batch=1139, step=21540, lr=0.110250, batch loss=0.012388, epoch loss=0.347948 Batch=1199, step=21600, lr=0.110250, batch loss=0.004873, epoch loss=0.352821 Epoch=17, step=21600, lr=0.110250, epoch loss=0.352821 Batch=59, step=21660, lr=0.110000, batch loss=0.002055, epoch loss=0.002055 Batch=119, step=21720, lr=0.109500, batch loss=0.007453, epoch loss=0.009508 Batch=179, step=21780, lr=0.109250, batch loss=0.012287, epoch loss=0.021795 Batch=239, step=21840, lr=0.109250, batch loss=0.009479, epoch loss=0.031274 Batch=299, step=21900, lr=0.108750, batch loss=0.006274, epoch loss=0.037547 Batch=359, step=21960, lr=0.108500, batch loss=0.014742, epoch loss=0.052290 Batch=419, step=22020, lr=0.108500, batch loss=0.012882, epoch loss=0.065171 Batch=479, step=22080, lr=0.108000, batch loss=0.002843, epoch loss=0.068014 Batch=539, step=22140, lr=0.108000, batch loss=0.016477, epoch loss=0.084491 Batch=599, step=22200, lr=0.107750, batch loss=0.016190, epoch loss=0.100680 Batch=659, step=22260, lr=0.107250, batch loss=0.012530, epoch loss=0.113210 Batch=719, step=22320, lr=0.107000, batch loss=0.022306, epoch loss=0.135517 Batch=779, step=22380, lr=0.106750, batch loss=0.034480, epoch loss=0.169996 Batch=839, step=22440, lr=0.106750, batch loss=0.025931, epoch loss=0.195927 Batch=899, step=22500, lr=0.106250, batch loss=0.028663, epoch loss=0.224589 Batch=959, step=22560, lr=0.106250, batch loss=0.009048, epoch loss=0.233638 Batch=1019, step=22620, lr=0.106000, batch loss=0.010195, epoch loss=0.243833 Batch=1079, step=22680, lr=0.105500, batch loss=0.001045, epoch loss=0.244878 Batch=1139, step=22740, lr=0.105500, batch loss=0.011699, epoch loss=0.256577 Batch=1199, step=22800, lr=0.105000, batch loss=0.005162, epoch loss=0.261738 Epoch=18, step=22800, lr=0.105000, epoch loss=0.261738 Batch=59, step=22860, lr=0.104750, batch loss=0.002303, epoch loss=0.002303 Batch=119, step=22920, lr=0.104750, batch loss=0.005567, epoch loss=0.007870 Batch=179, step=22980, lr=0.104250, batch loss=0.010837, epoch loss=0.018707 Batch=239, step=23040, lr=0.104000, batch loss=0.009321, epoch loss=0.028027 Batch=299, step=23100, lr=0.103750, batch loss=0.001151, epoch loss=0.029178 Batch=359, step=23160, lr=0.103500, batch loss=0.010921, epoch loss=0.040099 Batch=419, step=23220, lr=0.103250, batch loss=0.010655, epoch loss=0.050754 Batch=479, step=23280, lr=0.103250, batch loss=0.004204, epoch loss=0.054958 Batch=539, step=23340, lr=0.102750, batch loss=0.014112, epoch loss=0.069070 Batch=599, step=23400, lr=0.102500, batch loss=0.014659, epoch loss=0.083729 Batch=659, step=23460, lr=0.102250, batch loss=0.014452, epoch loss=0.098180 Batch=719, step=23520, lr=0.102000, batch loss=0.020063, epoch loss=0.118243 Batch=779, step=23580, lr=0.101750, batch loss=0.025380, epoch loss=0.143623 Batch=839, step=23640, lr=0.101500, batch loss=0.028555, epoch loss=0.172177 Batch=899, step=23700, lr=0.101250, batch loss=0.021128, epoch loss=0.193305 Batch=959, step=23760, lr=0.101000, batch loss=0.009611, epoch loss=0.202916 Batch=1019, step=23820, lr=0.100750, batch loss=0.007579, epoch loss=0.210495 Batch=1079, step=23880, lr=0.100500, batch loss=0.001288, epoch loss=0.211784 Batch=1139, step=23940, lr=0.100250, batch loss=0.008459, epoch loss=0.220242 Batch=1199, step=24000, lr=0.100000, batch loss=0.004588, epoch loss=0.224831 Epoch=19, step=24000, lr=0.100000, epoch loss=0.224831 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-09 13:11.27 ---> saved as "d0c40fbf393ddfb47f462a72c975fbe038b8c4a78bfa254a9bf62fb5b2ae04b1" Job succeeded 2025-05-09 13:11.27: Job succeeded