2025-05-09 16:04.08: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (e752ddbc7f85bd4a7379f2e2bc07d7a945f73056) (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 e752ddbc 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 16:04.08: 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 16:04.08: 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 16:04.08: Waiting for resource in pool OCluster 2025-05-09 16:04.09: Waiting for worker… 2025-05-09 16:04.09: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at e3497ade gcc_backend.ml: tiny fixes to recent refactorings HEAD is now at e752ddbc Make Metal non-optional on macOS and test it on an M1 GPU (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 16:04.09 ---> 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 16:04.09 ---> 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 16:04.09 ---> 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 16:04.09 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-09 16:04.09 ---> 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 16:04.09 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-09 16:04.10 ---> saved as "c3214a12cf1826639d067304aacd30d73b8de151b1282360f1da7fa2ed1e48ea" /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 16:04.14 ---> saved as "f3f3fb88a117c8b7ba720d37d98d1372f9f03cd9320716f589323b99b0211134" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-09 16:04.15 ---> saved as "51a71a76c58cd4fdeb2cdc963520357cc0c76e3f16b22a8ddd92d6a2f9679c43" /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 0s (784 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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 16:04.29 ---> saved as "9d56f6d76bd60164cac7b022b6b831ab9f5b6b453181e6465decd200f300b5f6" /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) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> installed cmdliner.1.3.0 -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> 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 uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed 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 ppx_derivers.1.2.1 -> 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 bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed angstrom.0.16.1 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> 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 printbox-ext-plot.0.12 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-09 16:05.48 ---> saved as "1f6aab0317fec32e0124c38211b4b29928c5d589090832a66c72117dfbfae512" /src: (copy (src .) (dst /src)) 2025-05-09 16:05.53 ---> saved as "f77859700030eeda39335368bfcfd9d9dbe9d6cea1dfac30f63894103e876135" /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 '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=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852303, epoch loss=35.617934 Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198750, batch loss=1.338572, epoch loss=38.401458 Batch=419, step=420, lr=0.198250, batch loss=0.613821, epoch loss=39.015279 Batch=479, step=480, lr=0.198250, batch loss=0.795007, epoch loss=39.810286 Batch=539, step=540, lr=0.198000, batch loss=0.651935, epoch loss=40.462221 Batch=599, step=600, lr=0.197500, batch loss=1.085091, epoch loss=41.547312 Batch=659, step=660, lr=0.197500, batch loss=0.482169, epoch loss=42.029482 Batch=719, step=720, lr=0.197000, batch loss=0.412734, epoch loss=42.442215 Batch=779, step=780, lr=0.197000, batch loss=0.470679, epoch loss=42.912894 Batch=839, step=840, lr=0.196750, batch loss=0.445128, epoch loss=43.358022 Batch=899, step=900, lr=0.196250, batch loss=0.386173, epoch loss=43.744195 Batch=959, step=960, lr=0.196000, batch loss=0.244529, epoch loss=43.988723 Batch=1019, step=1020, lr=0.196000, batch loss=0.456615, epoch loss=44.445338 Batch=1079, step=1080, lr=0.195500, batch loss=0.252706, epoch loss=44.698044 Batch=1139, step=1140, lr=0.195500, batch loss=0.331637, epoch loss=45.029682 Batch=1199, step=1200, lr=0.195000, batch loss=0.267751, epoch loss=45.297432 Epoch=0, step=1200, lr=0.195000, epoch loss=45.297432 Batch=59, step=1260, lr=0.194750, batch loss=0.265412, epoch loss=0.265412 Batch=119, step=1320, lr=0.194500, batch loss=0.207011, epoch loss=0.472422 Batch=179, step=1380, lr=0.194250, batch loss=0.246914, epoch loss=0.719336 Batch=239, step=1440, lr=0.194000, batch loss=0.350215, epoch loss=1.069551 Batch=299, step=1500, lr=0.194000, batch loss=0.239393, epoch loss=1.308944 Batch=359, step=1560, lr=0.193750, batch loss=0.311269, epoch loss=1.620214 Batch=419, step=1620, lr=0.193500, batch loss=0.308215, epoch loss=1.928429 Batch=479, step=1680, lr=0.193250, batch loss=0.275495, epoch loss=2.203924 Batch=539, step=1740, lr=0.192750, batch loss=0.210056, epoch loss=2.413980 Batch=599, step=1800, lr=0.192500, batch loss=0.251870, epoch loss=2.665850 Batch=659, step=1860, lr=0.192500, batch loss=0.368515, epoch loss=3.034365 Batch=719, step=1920, lr=0.192000, batch loss=0.367937, epoch loss=3.402302 Batch=779, step=1980, lr=0.192000, batch loss=0.382490, epoch loss=3.784793 Batch=839, step=2040, lr=0.191500, batch loss=0.341847, epoch loss=4.126640 Batch=899, step=2100, lr=0.191250, batch loss=0.296873, epoch loss=4.423513 Batch=959, step=2160, lr=0.191250, batch loss=0.216463, epoch loss=4.639976 Batch=1019, step=2220, lr=0.191000, batch loss=0.330405, epoch loss=4.970380 Batch=1079, step=2280, lr=0.190750, batch loss=0.199473, epoch loss=5.169854 Batch=1139, step=2340, lr=0.190500, batch loss=0.262459, epoch loss=5.432313 Batch=1199, step=2400, lr=0.190250, batch loss=0.211494, epoch loss=5.643807 Epoch=1, step=2400, lr=0.190250, epoch loss=5.643807 Batch=59, step=2460, lr=0.189750, batch loss=0.227562, epoch loss=0.227562 Batch=119, step=2520, lr=0.189500, batch loss=0.196605, epoch loss=0.424166 Batch=179, step=2580, lr=0.189500, batch loss=0.219683, epoch loss=0.643849 Batch=239, step=2640, lr=0.189000, batch loss=0.326831, epoch loss=0.970680 Batch=299, step=2700, lr=0.188750, batch loss=0.206307, epoch loss=1.176987 Batch=359, step=2760, lr=0.188750, batch loss=0.292255, epoch loss=1.469242 Batch=419, step=2820, lr=0.188500, batch loss=0.284819, epoch loss=1.754061 Batch=479, step=2880, lr=0.188250, batch loss=0.263084, epoch loss=2.017145 Batch=539, step=2940, lr=0.188000, batch loss=0.209863, epoch loss=2.227008 Batch=599, step=3000, lr=0.187500, batch loss=0.260365, epoch loss=2.487374 Batch=659, step=3060, lr=0.187250, batch loss=0.363008, epoch loss=2.850381 Batch=719, step=3120, lr=0.187000, batch loss=0.358261, epoch loss=3.208642 Batch=779, step=3180, lr=0.187000, batch loss=0.358701, epoch loss=3.567343 Batch=839, step=3240, lr=0.186750, batch loss=0.330867, epoch loss=3.898210 Batch=899, step=3300, lr=0.186500, batch loss=0.296172, epoch loss=4.194382 Batch=959, step=3360, lr=0.186250, batch loss=0.242945, epoch loss=4.437327 Batch=1019, step=3420, lr=0.186000, batch loss=0.367988, epoch loss=4.805315 Batch=1079, step=3480, lr=0.185750, batch loss=0.233337, epoch loss=5.038652 Batch=1139, step=3540, lr=0.185500, batch loss=0.258770, epoch loss=5.297422 Batch=1199, step=3600, lr=0.185250, batch loss=0.202436, epoch loss=5.499858 Epoch=2, step=3600, lr=0.185250, epoch loss=5.499858 Batch=59, step=3660, lr=0.185000, batch loss=0.224266, epoch loss=0.224266 Batch=119, step=3720, lr=0.184500, batch loss=0.185236, epoch loss=0.409502 Batch=179, step=3780, lr=0.184500, batch loss=0.212735, epoch loss=0.622237 Batch=239, step=3840, lr=0.184000, batch loss=0.317641, epoch loss=0.939878 Batch=299, step=3900, lr=0.183750, batch loss=0.204372, epoch loss=1.144250 Batch=359, step=3960, lr=0.183750, batch loss=0.283121, epoch loss=1.427371 Batch=419, step=4020, lr=0.183250, batch loss=0.273592, epoch loss=1.700963 Batch=479, step=4080, lr=0.183250, batch loss=0.252533, epoch loss=1.953496 Batch=539, step=4140, lr=0.183000, batch loss=0.190936, epoch loss=2.144432 Batch=599, step=4200, lr=0.182500, batch loss=0.236029, epoch loss=2.380461 Batch=659, step=4260, lr=0.182500, batch loss=0.333033, epoch loss=2.713494 Batch=719, step=4320, lr=0.182000, batch loss=0.346708, epoch loss=3.060201 Batch=779, step=4380, lr=0.182000, batch loss=0.349621, epoch loss=3.409823 Batch=839, step=4440, lr=0.181750, batch loss=0.319371, epoch loss=3.729194 Batch=899, step=4500, lr=0.181500, batch loss=0.292777, epoch loss=4.021970 Batch=959, step=4560, lr=0.181000, batch loss=0.243577, epoch loss=4.265547 Batch=1019, step=4620, lr=0.180750, batch loss=0.340885, epoch loss=4.606433 Batch=1079, step=4680, lr=0.180750, batch loss=0.199201, epoch loss=4.805634 Batch=1139, step=4740, lr=0.180500, batch loss=0.238665, epoch loss=5.044298 Batch=1199, step=4800, lr=0.180000, batch loss=0.192419, epoch loss=5.236717 Epoch=3, step=4800, lr=0.180000, epoch loss=5.236717 Batch=59, step=4860, lr=0.179750, batch loss=0.226454, epoch loss=0.226454 Batch=119, step=4920, lr=0.179750, batch loss=0.191329, epoch loss=0.417783 Batch=179, step=4980, lr=0.179500, batch loss=0.206446, epoch loss=0.624229 Batch=239, step=5040, lr=0.179250, batch loss=0.307779, epoch loss=0.932008 Batch=299, step=5100, lr=0.179000, batch loss=0.201433, epoch loss=1.133441 Batch=359, step=5160, lr=0.178750, batch loss=0.274720, epoch loss=1.408162 Batch=419, step=5220, lr=0.178500, batch loss=0.264767, epoch loss=1.672928 Batch=479, step=5280, lr=0.178250, batch loss=0.241388, epoch loss=1.914317 Batch=539, step=5340, lr=0.178000, batch loss=0.190717, epoch loss=2.105034 Batch=599, step=5400, lr=0.177500, batch loss=0.231354, epoch loss=2.336388 Batch=659, step=5460, lr=0.177250, batch loss=0.324730, epoch loss=2.661118 Batch=719, step=5520, lr=0.177250, batch loss=0.333758, epoch loss=2.994876 Batch=779, step=5580, lr=0.176750, batch loss=0.342878, epoch loss=3.337754 Batch=839, step=5640, lr=0.176500, batch loss=0.309837, epoch loss=3.647591 Batch=899, step=5700, lr=0.176500, batch loss=0.271193, epoch loss=3.918784 Batch=959, step=5760, lr=0.176000, batch loss=0.219046, epoch loss=4.137830 Batch=1019, step=5820, lr=0.176000, batch loss=0.336512, epoch loss=4.474342 Batch=1079, step=5880, lr=0.175750, batch loss=0.191708, epoch loss=4.666050 Batch=1139, step=5940, lr=0.175250, batch loss=0.221554, epoch loss=4.887603 Batch=1199, step=6000, lr=0.175000, batch loss=0.186809, epoch loss=5.074413 Epoch=4, step=6000, lr=0.175000, epoch loss=5.074413 Batch=59, step=6060, lr=0.175000, batch loss=0.224466, epoch loss=0.224466 Batch=119, step=6120, lr=0.174750, batch loss=0.186111, epoch loss=0.410577 Batch=179, step=6180, lr=0.174250, batch loss=0.201202, epoch loss=0.611778 Batch=239, step=6240, lr=0.174250, batch loss=0.299479, epoch loss=0.911257 Batch=299, step=6300, lr=0.173750, batch loss=0.197803, epoch loss=1.109060 Batch=359, step=6360, lr=0.173750, batch loss=0.265804, epoch loss=1.374863 Batch=419, step=6420, lr=0.173500, batch loss=0.261873, epoch loss=1.636736 Batch=479, step=6480, lr=0.173250, batch loss=0.241080, epoch loss=1.877816 Batch=539, step=6540, lr=0.172750, batch loss=0.196071, epoch loss=2.073887 Batch=599, step=6600, lr=0.172500, batch loss=0.232791, epoch loss=2.306678 Batch=659, step=6660, lr=0.172250, batch loss=0.314434, epoch loss=2.621111 Batch=719, step=6720, lr=0.172000, batch loss=0.318372, epoch loss=2.939483 Batch=779, step=6780, lr=0.172000, batch loss=0.330091, epoch loss=3.269574 Batch=839, step=6840, lr=0.171750, batch loss=0.301975, epoch loss=3.571549 Batch=899, step=6900, lr=0.171250, batch loss=0.271704, epoch loss=3.843253 Batch=959, step=6960, lr=0.171000, batch loss=0.206746, epoch loss=4.049999 Batch=1019, step=7020, lr=0.171000, batch loss=0.329096, epoch loss=4.379094 Batch=1079, step=7080, lr=0.170750, batch loss=0.174816, epoch loss=4.553911 Batch=1139, step=7140, lr=0.170500, batch loss=0.213374, epoch loss=4.767285 Batch=1199, step=7200, lr=0.170250, batch loss=0.182578, epoch loss=4.949863 Epoch=5, step=7200, lr=0.170250, epoch loss=4.949863 Batch=59, step=7260, lr=0.170000, batch loss=0.237076, epoch loss=0.237076 Batch=119, step=7320, lr=0.169750, batch loss=0.182887, epoch loss=0.419962 Batch=179, step=7380, lr=0.169250, batch loss=0.195315, epoch loss=0.615277 Batch=239, step=7440, lr=0.169250, batch loss=0.292211, epoch loss=0.907488 Batch=299, step=7500, lr=0.169000, batch loss=0.207645, epoch loss=1.115134 Batch=359, step=7560, lr=0.168750, batch loss=0.262617, epoch loss=1.377750 Batch=419, step=7620, lr=0.168500, batch loss=0.254543, epoch loss=1.632293 Batch=479, step=7680, lr=0.168000, batch loss=0.233171, epoch loss=1.865465 Batch=539, step=7740, lr=0.168000, batch loss=0.192895, epoch loss=2.058360 Batch=599, step=7800, lr=0.167750, batch loss=0.227129, epoch loss=2.285489 Batch=659, step=7860, lr=0.167500, batch loss=0.307157, epoch loss=2.592646 Batch=719, step=7920, lr=0.167250, batch loss=0.310006, epoch loss=2.902652 Batch=779, step=7980, lr=0.166750, batch loss=0.331684, epoch loss=3.234335 Batch=839, step=8040, lr=0.166750, batch loss=0.293239, epoch loss=3.527574 Batch=899, step=8100, lr=0.166500, batch loss=0.262895, epoch loss=3.790469 Batch=959, step=8160, lr=0.166250, batch loss=0.200222, epoch loss=3.990691 Batch=1019, step=8220, lr=0.166000, batch loss=0.326179, epoch loss=4.316871 Batch=1079, step=8280, lr=0.165750, batch loss=0.186767, epoch loss=4.503637 Batch=1139, step=8340, lr=0.165250, batch loss=0.220345, epoch loss=4.723982 Batch=1199, step=8400, lr=0.165250, batch loss=0.174117, epoch loss=4.898099 Epoch=6, step=8400, lr=0.165250, epoch loss=4.898099 Batch=59, step=8460, lr=0.164750, batch loss=0.222309, epoch loss=0.222309 Batch=119, step=8520, lr=0.164500, batch loss=0.179699, epoch loss=0.402008 Batch=179, step=8580, lr=0.164500, batch loss=0.191238, epoch loss=0.593246 Batch=239, step=8640, lr=0.164250, batch loss=0.284170, epoch loss=0.877416 Batch=299, step=8700, lr=0.164000, batch loss=0.198182, epoch loss=1.075598 Batch=359, step=8760, lr=0.163500, batch loss=0.253121, epoch loss=1.328719 Batch=419, step=8820, lr=0.163250, batch loss=0.249692, epoch loss=1.578411 Batch=479, step=8880, lr=0.163000, batch loss=0.226923, epoch loss=1.805334 Batch=539, step=8940, lr=0.163000, batch loss=0.182115, epoch loss=1.987449 Batch=599, step=9000, lr=0.162750, batch loss=0.215372, epoch loss=2.202821 Batch=659, step=9060, lr=0.162250, batch loss=0.297135, epoch loss=2.499956 Batch=719, step=9120, lr=0.162000, batch loss=0.298042, epoch loss=2.797998 Batch=779, step=9180, lr=0.161750, batch loss=0.318601, epoch loss=3.116599 Batch=839, step=9240, lr=0.161500, batch loss=0.288746, epoch loss=3.405344 Batch=899, step=9300, lr=0.161500, batch loss=0.252881, epoch loss=3.658226 Batch=959, step=9360, lr=0.161250, batch loss=0.189657, epoch loss=3.847883 Batch=1019, step=9420, lr=0.161000, batch loss=0.319622, epoch loss=4.167505 Batch=1079, step=9480, lr=0.160750, batch loss=0.185805, epoch loss=4.353309 Batch=1139, step=9540, lr=0.160500, batch loss=0.207948, epoch loss=4.561257 Batch=1199, step=9600, lr=0.160250, batch loss=0.166749, epoch loss=4.728006 Epoch=7, step=9600, lr=0.160250, epoch loss=4.728006 Batch=59, step=9660, lr=0.159750, batch loss=0.203360, epoch loss=0.203360 Batch=119, step=9720, lr=0.159500, batch loss=0.164505, epoch loss=0.367865 Batch=179, step=9780, lr=0.159250, batch loss=0.180712, epoch loss=0.548577 Batch=239, step=9840, lr=0.159000, batch loss=0.263907, epoch loss=0.812484 Batch=299, step=9900, lr=0.158750, batch loss=0.187899, epoch loss=1.000383 Batch=359, step=9960, lr=0.158750, batch loss=0.243569, epoch loss=1.243951 Batch=419, step=10020, lr=0.158500, batch loss=0.234786, epoch loss=1.478737 Batch=479, step=10080, lr=0.158250, batch loss=0.214739, epoch loss=1.693477 Batch=539, step=10140, lr=0.158000, batch loss=0.172058, epoch loss=1.865535 Batch=599, step=10200, lr=0.157750, batch loss=0.202741, epoch loss=2.068275 Batch=659, step=10260, lr=0.157500, batch loss=0.283920, epoch loss=2.352196 Batch=719, step=10320, lr=0.157000, batch loss=0.281140, epoch loss=2.633336 Batch=779, step=10380, lr=0.157000, batch loss=0.301585, epoch loss=2.934921 Batch=839, step=10440, lr=0.156750, batch loss=0.273552, epoch loss=3.208473 Batch=899, step=10500, lr=0.156500, batch loss=0.241086, epoch loss=3.449560 Batch=959, step=10560, lr=0.156250, batch loss=0.200368, epoch loss=3.649927 Batch=1019, step=10620, lr=0.156000, batch loss=0.283213, epoch loss=3.933141 Batch=1079, step=10680, lr=0.155750, batch loss=0.153233, epoch loss=4.086373 Batch=1139, step=10740, lr=0.155250, batch loss=0.184315, epoch loss=4.270688 Batch=1199, step=10800, lr=0.155250, batch loss=0.157556, epoch loss=4.428244 Epoch=8, step=10800, lr=0.155250, epoch loss=4.428244 Batch=59, step=10860, lr=0.155000, batch loss=0.203144, epoch loss=0.203144 Batch=119, step=10920, lr=0.154750, batch loss=0.159742, epoch loss=0.362886 Batch=179, step=10980, lr=0.154500, batch loss=0.167642, epoch loss=0.530528 Batch=239, step=11040, lr=0.154000, batch loss=0.247141, epoch loss=0.777669 Batch=299, step=11100, lr=0.154000, batch loss=0.164931, epoch loss=0.942600 Batch=359, step=11160, lr=0.153750, batch loss=0.229073, epoch loss=1.171673 Batch=419, step=11220, lr=0.153500, batch loss=0.235799, epoch loss=1.407472 Batch=479, step=11280, lr=0.153250, batch loss=0.201341, epoch loss=1.608813 Batch=539, step=11340, lr=0.153000, batch loss=0.158835, epoch loss=1.767648 Batch=599, step=11400, lr=0.152750, batch loss=0.183213, epoch loss=1.950861 Batch=659, step=11460, lr=0.152500, batch loss=0.264994, epoch loss=2.215855 Batch=719, step=11520, lr=0.152250, batch loss=0.264986, epoch loss=2.480841 Batch=779, step=11580, lr=0.152000, batch loss=0.273273, epoch loss=2.754114 Batch=839, step=11640, lr=0.151500, batch loss=0.253097, epoch loss=3.007211 Batch=899, step=11700, lr=0.151500, batch loss=0.220145, epoch loss=3.227356 Batch=959, step=11760, lr=0.151250, batch loss=0.179290, epoch loss=3.406646 Batch=1019, step=11820, lr=0.150750, batch loss=0.260747, epoch loss=3.667393 Batch=1079, step=11880, lr=0.150750, batch loss=0.140923, epoch loss=3.808316 Batch=1139, step=11940, lr=0.150250, batch loss=0.176281, epoch loss=3.984597 Batch=1199, step=12000, lr=0.150250, batch loss=0.140611, epoch loss=4.125207 Epoch=9, step=12000, lr=0.150250, epoch loss=4.125207 Batch=59, step=12060, lr=0.149750, batch loss=0.173705, epoch loss=0.173705 Batch=119, step=12120, lr=0.149500, batch loss=0.151068, epoch loss=0.324773 Batch=179, step=12180, lr=0.149250, batch loss=0.153674, epoch loss=0.478447 Batch=239, step=12240, lr=0.149000, batch loss=0.225534, epoch loss=0.703981 Batch=299, step=12300, lr=0.149000, batch loss=0.139883, epoch loss=0.843863 Batch=359, step=12360, lr=0.148500, batch loss=0.204519, epoch loss=1.048382 Batch=419, step=12420, lr=0.148500, batch loss=0.211164, epoch loss=1.259546 Batch=479, step=12480, lr=0.148000, batch loss=0.180176, epoch loss=1.439722 Batch=539, step=12540, lr=0.147750, batch loss=0.145763, epoch loss=1.585485 Batch=599, step=12600, lr=0.147500, batch loss=0.151562, epoch loss=1.737047 Batch=659, step=12660, lr=0.147500, batch loss=0.231004, epoch loss=1.968051 Batch=719, step=12720, lr=0.147250, batch loss=0.238416, epoch loss=2.206468 Batch=779, step=12780, lr=0.147000, batch loss=0.261380, epoch loss=2.467848 Batch=839, step=12840, lr=0.146500, batch loss=0.229552, epoch loss=2.697399 Batch=899, step=12900, lr=0.146250, batch loss=0.195188, epoch loss=2.892587 Batch=959, step=12960, lr=0.146250, batch loss=0.163983, epoch loss=3.056570 Batch=1019, step=13020, lr=0.146000, batch loss=0.267294, epoch loss=3.323864 Batch=1079, step=13080, lr=0.145500, batch loss=0.118536, epoch loss=3.442400 Batch=1139, step=13140, lr=0.145250, batch loss=0.152146, epoch loss=3.594546 Batch=1199, step=13200, lr=0.145250, batch loss=0.119799, epoch loss=3.714345 Epoch=10, step=13200, lr=0.145250, epoch loss=3.714345 Batch=59, step=13260, lr=0.145000, batch loss=0.143006, epoch loss=0.143006 Batch=119, step=13320, lr=0.144500, batch loss=0.125307, epoch loss=0.268312 Batch=179, step=13380, lr=0.144250, batch loss=0.131266, epoch loss=0.399578 Batch=239, step=13440, lr=0.144000, batch loss=0.196337, epoch loss=0.595916 Batch=299, step=13500, lr=0.144000, batch loss=0.121939, epoch loss=0.717854 Batch=359, step=13560, lr=0.143750, batch loss=0.170274, epoch loss=0.888128 Batch=419, step=13620, lr=0.143250, batch loss=0.184688, epoch loss=1.072816 Batch=479, step=13680, lr=0.143000, batch loss=0.143005, epoch loss=1.215821 Batch=539, step=13740, lr=0.142750, batch loss=0.120249, epoch loss=1.336070 Batch=599, step=13800, lr=0.142750, batch loss=0.123991, epoch loss=1.460061 Batch=659, step=13860, lr=0.142500, batch loss=0.186435, epoch loss=1.646496 Batch=719, step=13920, lr=0.142000, batch loss=0.198973, epoch loss=1.845469 Batch=779, step=13980, lr=0.141750, batch loss=0.231712, epoch loss=2.077181 Batch=839, step=14040, lr=0.141500, batch loss=0.200952, epoch loss=2.278133 Batch=899, step=14100, lr=0.141500, batch loss=0.203474, epoch loss=2.481607 Batch=959, step=14160, lr=0.141000, batch loss=0.116580, epoch loss=2.598187 Batch=1019, step=14220, lr=0.140750, batch loss=0.203531, epoch loss=2.801718 Batch=1079, step=14280, lr=0.140500, batch loss=0.079823, epoch loss=2.881542 Batch=1139, step=14340, lr=0.140500, batch loss=0.119531, epoch loss=3.001073 Batch=1199, step=14400, lr=0.140000, batch loss=0.089222, epoch loss=3.090294 Epoch=11, step=14400, lr=0.140000, epoch loss=3.090294 Batch=59, step=14460, lr=0.139750, batch loss=0.115097, epoch loss=0.115097 Batch=119, step=14520, lr=0.139500, batch loss=0.114612, epoch loss=0.229708 Batch=179, step=14580, lr=0.139250, batch loss=0.105867, epoch loss=0.335575 Batch=239, step=14640, lr=0.139000, batch loss=0.146978, epoch loss=0.482553 Batch=299, step=14700, lr=0.138750, batch loss=0.083442, epoch loss=0.565995 Batch=359, step=14760, lr=0.138500, batch loss=0.127824, epoch loss=0.693819 Batch=419, step=14820, lr=0.138250, batch loss=0.133440, epoch loss=0.827259 Batch=479, step=14880, lr=0.138000, batch loss=0.107168, epoch loss=0.934427 Batch=539, step=14940, lr=0.138000, batch loss=0.097665, epoch loss=1.032092 Batch=599, step=15000, lr=0.137750, batch loss=0.090252, epoch loss=1.122344 Batch=659, step=15060, lr=0.137250, batch loss=0.143834, epoch loss=1.266178 Batch=719, step=15120, lr=0.137000, batch loss=0.173972, epoch loss=1.440150 Batch=779, step=15180, lr=0.136750, batch loss=0.290792, epoch loss=1.730942 Batch=839, step=15240, lr=0.136500, batch loss=0.141859, epoch loss=1.872801 Batch=899, step=15300, lr=0.136250, batch loss=0.142690, epoch loss=2.015491 Batch=959, step=15360, lr=0.136250, batch loss=0.087805, epoch loss=2.103296 Batch=1019, step=15420, lr=0.135750, batch loss=0.162052, epoch loss=2.265348 Batch=1079, step=15480, lr=0.135500, batch loss=0.050539, epoch loss=2.315887 Batch=1139, step=15540, lr=0.135250, batch loss=0.102595, epoch loss=2.418482 Batch=1199, step=15600, lr=0.135250, batch loss=0.064004, epoch loss=2.482486 Epoch=12, step=15600, lr=0.135250, epoch loss=2.482486 Batch=59, step=15660, lr=0.135000, batch loss=0.090682, epoch loss=0.090682 Batch=119, step=15720, lr=0.134750, batch loss=0.140951, epoch loss=0.231633 Batch=179, step=15780, lr=0.134250, batch loss=0.101948, epoch loss=0.333580 Batch=239, step=15840, lr=0.134000, batch loss=0.103824, epoch loss=0.437405 Batch=299, step=15900, lr=0.133750, batch loss=0.047338, epoch loss=0.484742 Batch=359, step=15960, lr=0.133500, batch loss=0.087027, epoch loss=0.571769 Batch=419, step=16020, lr=0.133250, batch loss=0.085118, epoch loss=0.656888 Batch=479, step=16080, lr=0.133250, batch loss=0.066471, epoch loss=0.723359 Batch=539, step=16140, lr=0.133000, batch loss=0.059003, epoch loss=0.782361 Batch=599, step=16200, lr=0.132750, batch loss=0.112379, epoch loss=0.894740 Batch=659, step=16260, lr=0.132250, batch loss=0.084601, epoch loss=0.979341 Batch=719, step=16320, lr=0.132000, batch loss=0.088539, epoch loss=1.067880 Batch=779, step=16380, lr=0.131750, batch loss=0.108139, epoch loss=1.176019 Batch=839, step=16440, lr=0.131750, batch loss=0.131530, epoch loss=1.307549 Batch=899, step=16500, lr=0.131500, batch loss=0.156368, epoch loss=1.463916 Batch=959, step=16560, lr=0.131250, batch loss=0.053286, epoch loss=1.517202 Batch=1019, step=16620, lr=0.130750, batch loss=0.131711, epoch loss=1.648913 Batch=1079, step=16680, lr=0.130750, batch loss=0.020745, epoch loss=1.669658 Batch=1139, step=16740, lr=0.130500, batch loss=0.045836, epoch loss=1.715494 Batch=1199, step=16800, lr=0.130250, batch loss=0.032936, epoch loss=1.748430 Epoch=13, step=16800, lr=0.130250, epoch loss=1.748430 Batch=59, step=16860, lr=0.129750, batch loss=0.040364, epoch loss=0.040364 Batch=119, step=16920, lr=0.129750, batch loss=0.066106, epoch loss=0.106470 Batch=179, step=16980, lr=0.129250, batch loss=0.055480, epoch loss=0.161951 Batch=239, step=17040, lr=0.129000, batch loss=0.065884, epoch loss=0.227835 Batch=299, step=17100, lr=0.128750, batch loss=0.029325, epoch loss=0.257160 Batch=359, step=17160, lr=0.128500, batch loss=0.050062, epoch loss=0.307223 Batch=419, step=17220, lr=0.128250, batch loss=0.058277, epoch loss=0.365500 Batch=479, step=17280, lr=0.128000, batch loss=0.029623, epoch loss=0.395122 Batch=539, step=17340, lr=0.127750, batch loss=0.041742, epoch loss=0.436865 Batch=599, step=17400, lr=0.127500, batch loss=0.035827, epoch loss=0.472691 Batch=659, step=17460, lr=0.127250, batch loss=0.053667, epoch loss=0.526358 Batch=719, step=17520, lr=0.127250, batch loss=0.076235, epoch loss=0.602593 Batch=779, step=17580, lr=0.127000, batch loss=0.064207, epoch loss=0.666800 Batch=839, step=17640, lr=0.126500, batch loss=0.110840, epoch loss=0.777640 Batch=899, step=17700, lr=0.126500, batch loss=0.061105, epoch loss=0.838745 Batch=959, step=17760, lr=0.126000, batch loss=0.025100, epoch loss=0.863844 Batch=1019, step=17820, lr=0.125750, batch loss=0.039788, epoch loss=0.903633 Batch=1079, step=17880, lr=0.125750, batch loss=0.024075, epoch loss=0.927707 Batch=1139, step=17940, lr=0.125250, batch loss=0.052856, epoch loss=0.980564 Batch=1199, step=18000, lr=0.125000, batch loss=0.021409, epoch loss=1.001973 Epoch=14, step=18000, lr=0.125000, epoch loss=1.001973 Batch=59, step=18060, lr=0.124750, batch loss=0.015073, epoch loss=0.015073 Batch=119, step=18120, lr=0.124500, batch loss=0.021493, epoch loss=0.036566 Batch=179, step=18180, lr=0.124250, batch loss=0.030242, epoch loss=0.066808 Batch=239, step=18240, lr=0.124000, batch loss=0.036806, epoch loss=0.103613 Batch=299, step=18300, lr=0.124000, batch loss=0.010779, epoch loss=0.114392 Batch=359, step=18360, lr=0.123500, batch loss=0.027937, epoch loss=0.142329 Batch=419, step=18420, lr=0.123250, batch loss=0.031294, epoch loss=0.173623 Batch=479, step=18480, lr=0.123000, batch loss=0.016424, epoch loss=0.190047 Batch=539, step=18540, lr=0.122750, batch loss=0.037492, epoch loss=0.227538 Batch=599, step=18600, lr=0.122750, batch loss=0.054073, epoch loss=0.281612 Batch=659, step=18660, lr=0.122500, batch loss=0.032407, epoch loss=0.314019 Batch=719, step=18720, lr=0.122000, batch loss=0.053345, epoch loss=0.367363 Batch=779, step=18780, lr=0.121750, batch loss=0.099819, epoch loss=0.467182 Batch=839, step=18840, lr=0.121500, batch loss=0.073059, epoch loss=0.540242 Batch=899, step=18900, lr=0.121250, batch loss=0.103221, epoch loss=0.643463 Batch=959, step=18960, lr=0.121250, batch loss=0.015987, epoch loss=0.659450 Batch=1019, step=19020, lr=0.121000, batch loss=0.020987, epoch loss=0.680437 Batch=1079, step=19080, lr=0.120750, batch loss=0.005774, epoch loss=0.686211 Batch=1139, step=19140, lr=0.120500, batch loss=0.026691, epoch loss=0.712902 Batch=1199, step=19200, lr=0.120250, batch loss=0.011632, epoch loss=0.724534 Epoch=15, step=19200, lr=0.120250, epoch loss=0.724534 Batch=59, step=19260, lr=0.119750, batch loss=0.006258, epoch loss=0.006258 Batch=119, step=19320, lr=0.119500, batch loss=0.017041, epoch loss=0.023300 Batch=179, step=19380, lr=0.119250, batch loss=0.035832, epoch loss=0.059131 Batch=239, step=19440, lr=0.119000, batch loss=0.024793, epoch loss=0.083924 Batch=299, step=19500, lr=0.118750, batch loss=0.008050, epoch loss=0.091974 Batch=359, step=19560, lr=0.118500, batch loss=0.017416, epoch loss=0.109391 Batch=419, step=19620, lr=0.118250, batch loss=0.021010, epoch loss=0.130400 Batch=479, step=19680, lr=0.118000, batch loss=0.011853, epoch loss=0.142254 Batch=539, step=19740, lr=0.117750, batch loss=0.019488, epoch loss=0.161742 Batch=599, step=19800, lr=0.117750, batch loss=0.020529, epoch loss=0.182271 Batch=659, step=19860, lr=0.117500, batch loss=0.020415, epoch loss=0.202686 Batch=719, step=19920, lr=0.117250, batch loss=0.016711, epoch loss=0.219397 Batch=779, step=19980, lr=0.117000, batch loss=0.022106, epoch loss=0.241503 Batch=839, step=20040, lr=0.116500, batch loss=0.031769, epoch loss=0.273272 Batch=899, step=20100, lr=0.116250, batch loss=0.026510, epoch loss=0.299783 Batch=959, step=20160, lr=0.116250, batch loss=0.018398, epoch loss=0.318180 Batch=1019, step=20220, lr=0.116000, batch loss=0.028355, epoch loss=0.346535 Batch=1079, step=20280, lr=0.115500, batch loss=0.004179, epoch loss=0.350714 Batch=1139, step=20340, lr=0.115500, batch loss=0.014823, epoch loss=0.365538 Batch=1199, step=20400, lr=0.115250, batch loss=0.007181, epoch loss=0.372719 Epoch=16, step=20400, lr=0.115250, epoch loss=0.372719 Batch=59, step=20460, lr=0.115000, batch loss=0.003821, epoch loss=0.003821 Batch=119, step=20520, lr=0.114750, batch loss=0.009125, epoch loss=0.012947 Batch=179, step=20580, lr=0.114500, batch loss=0.016902, epoch loss=0.029848 Batch=239, step=20640, lr=0.114000, batch loss=0.016354, epoch loss=0.046202 Batch=299, step=20700, lr=0.113750, batch loss=0.004244, epoch loss=0.050446 Batch=359, step=20760, lr=0.113750, batch loss=0.013244, epoch loss=0.063691 Batch=419, step=20820, lr=0.113500, batch loss=0.016829, epoch loss=0.080519 Batch=479, step=20880, lr=0.113000, batch loss=0.008499, epoch loss=0.089018 Batch=539, step=20940, lr=0.112750, batch loss=0.018816, epoch loss=0.107834 Batch=599, step=21000, lr=0.112750, batch loss=0.017840, epoch loss=0.125674 Batch=659, step=21060, lr=0.112250, batch loss=0.013930, epoch loss=0.139604 Batch=719, step=21120, lr=0.112000, batch loss=0.019490, epoch loss=0.159094 Batch=779, step=21180, lr=0.111750, batch loss=0.031972, epoch loss=0.191067 Batch=839, step=21240, lr=0.111500, batch loss=0.026921, epoch loss=0.217987 Batch=899, step=21300, lr=0.111500, batch loss=0.027011, epoch loss=0.244998 Batch=959, step=21360, lr=0.111250, batch loss=0.010490, epoch loss=0.255489 Batch=1019, step=21420, lr=0.111000, batch loss=0.011918, epoch loss=0.267407 Batch=1079, step=21480, lr=0.110500, batch loss=0.003740, epoch loss=0.271147 Batch=1139, step=21540, lr=0.110250, batch loss=0.014653, epoch loss=0.285800 Batch=1199, step=21600, lr=0.110000, batch loss=0.006386, epoch loss=0.292186 Epoch=17, step=21600, lr=0.110000, epoch loss=0.292186 Batch=59, step=21660, lr=0.110000, batch loss=0.002789, epoch loss=0.002789 Batch=119, step=21720, lr=0.109500, batch loss=0.007538, epoch loss=0.010327 Batch=179, step=21780, lr=0.109500, batch loss=0.014614, epoch loss=0.024941 Batch=239, step=21840, lr=0.109250, batch loss=0.017874, epoch loss=0.042814 Batch=299, step=21900, lr=0.109000, batch loss=0.008427, epoch loss=0.051241 Batch=359, step=21960, lr=0.108750, batch loss=0.013419, epoch loss=0.064660 Batch=419, step=22020, lr=0.108250, batch loss=0.012226, epoch loss=0.076885 Batch=479, step=22080, lr=0.108000, batch loss=0.003553, epoch loss=0.080438 Batch=539, step=22140, lr=0.107750, batch loss=0.016409, epoch loss=0.096847 Batch=599, step=22200, lr=0.107500, batch loss=0.016245, epoch loss=0.113092 Batch=659, step=22260, lr=0.107500, batch loss=0.013321, epoch loss=0.126413 Batch=719, step=22320, lr=0.107000, batch loss=0.029879, epoch loss=0.156292 Batch=779, step=22380, lr=0.106750, batch loss=0.039406, epoch loss=0.195697 Batch=839, step=22440, lr=0.106750, batch loss=0.023028, epoch loss=0.218725 Batch=899, step=22500, lr=0.106250, batch loss=0.021216, epoch loss=0.239941 Batch=959, step=22560, lr=0.106000, batch loss=0.011056, epoch loss=0.250997 Batch=1019, step=22620, lr=0.105750, batch loss=0.009825, epoch loss=0.260823 Batch=1079, step=22680, lr=0.105500, batch loss=0.001436, epoch loss=0.262258 Batch=1139, step=22740, lr=0.105250, batch loss=0.011301, epoch loss=0.273559 Batch=1199, step=22800, lr=0.105250, batch loss=0.004842, epoch loss=0.278401 Epoch=18, step=22800, lr=0.105250, epoch loss=0.278401 Batch=59, step=22860, lr=0.105000, batch loss=0.002070, epoch loss=0.002070 Batch=119, step=22920, lr=0.104500, batch loss=0.005781, epoch loss=0.007851 Batch=179, step=22980, lr=0.104500, batch loss=0.011639, epoch loss=0.019489 Batch=239, step=23040, lr=0.104250, batch loss=0.009710, epoch loss=0.029199 Batch=299, step=23100, lr=0.103750, batch loss=0.010107, epoch loss=0.039306 Batch=359, step=23160, lr=0.103750, batch loss=0.013266, epoch loss=0.052572 Batch=419, step=23220, lr=0.103500, batch loss=0.011198, epoch loss=0.063770 Batch=479, step=23280, lr=0.103250, batch loss=0.004342, epoch loss=0.068112 Batch=539, step=23340, lr=0.103000, batch loss=0.014189, epoch loss=0.082301 Batch=599, step=23400, lr=0.102750, batch loss=0.014940, epoch loss=0.097241 Batch=659, step=23460, lr=0.102250, batch loss=0.014995, epoch loss=0.112236 Batch=719, step=23520, lr=0.102000, batch loss=0.022199, epoch loss=0.134435 Batch=779, step=23580, lr=0.102000, batch loss=0.026270, epoch loss=0.160704 Batch=839, step=23640, lr=0.101500, batch loss=0.029158, epoch loss=0.189862 Batch=899, step=23700, lr=0.101500, batch loss=0.021653, epoch loss=0.211515 Batch=959, step=23760, lr=0.101000, batch loss=0.010308, epoch loss=0.221822 Batch=1019, step=23820, lr=0.101000, batch loss=0.010478, epoch loss=0.232300 Batch=1079, step=23880, lr=0.100750, batch loss=0.000818, epoch loss=0.233119 Batch=1139, step=23940, lr=0.100250, batch loss=0.009857, epoch loss=0.242976 Batch=1199, step=24000, lr=0.100000, batch loss=0.004862, epoch loss=0.247838 Epoch=19, step=24000, lr=0.100000, epoch loss=0.247838 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │**********........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-09 16:06.30 ---> saved as "ce987ef2546de2bb410a551e83425319a9c119e94625c08624699e238cc2d078" Job succeeded 2025-05-09 16:06.31: Job succeeded