2025-04-10 12:26.39: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (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 a65dd895 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 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.3.18.0 dune-configurator.3.18.0 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 2025-04-10 12:26.39: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e-debian-12-5.3_ppc64_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-10 12:26.39: 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 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.3.18.0 dune-configurator.3.18.0 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")) ) 2025-04-10 12:26.39: Waiting for resource in pool OCluster 2025-04-10 12:26.55: Waiting for worker… 2025-04-10 12:26.55: Got resource from pool OCluster Building on orithia.caelum.ci.dev All commits already cached HEAD is now at a65dd895 Tiny 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 2025-04-10 12:26.40 ---> 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")) 2025-04-10 12:26.40 ---> 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 2025-04-10 12:27.34 ---> saved as "3356b2ee63007def5ceadc9915328f1eea8f5bf3d1e4e2f434bb4052fe0919a6" /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 2025-04-10 12:27.35 ---> saved as "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-10 12:27.35 ---> saved as "8b1bba9974efdc8414b2b8b2a4fed5020d231764a7da89b3dfbeaf9ab99cfe97" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD da74d7829f..fa0e8c74bf master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-10 12:28.24 ---> saved as "762fe1fc95f31698332171523df3628c40e438ad8c2c836c39e04700482d133b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-10 12:28.27 ---> saved as "85834d8cf753692d2ae93bd7f103ea5cc5e9f04b87cacc6f2428f4b512b23fb9" /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) 2025-04-10 12:28.37 ---> saved as "5471b0eb175494bc1b5ceb6cbf866260e12a3bd04edec2b7adfa5468fc09fcbd" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-10 12:28.38 ---> saved as "abc59fbc374fb47a7c13b57e1b22f118b807fd1281511ad2e5470fc3ffecf991" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 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.3.18.0 dune-configurator.3.18.0 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 [239 kB] - Fetched 342 kB in 1s (575 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) ... 2025-04-10 12:29.34 ---> saved as "167c8469a5bc7c124fd750183bd07ee2aa3f5b2ca2c791241db959271c93b4ec" /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 v0.17.1 - 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 3.18.0 - install dune-configurator 3.18.0 - 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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved backoff.0.1.1 (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 -> installed conf-libffi.2.0.0 -> retrieved cmdliner.1.3.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved csexp.1.5.2 (cached) -> 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 ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> installed cmdliner.1.3.0 -> retrieved mdx.2.5.0 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved 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 result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 ptime.1.2.0 -> installed fmt.0.10.0 -> installed uutf.1.0.4 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> 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.3.18.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_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 time_now.v0.17.0 -> installed ppx_string.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) 2025-04-10 12:42.37 ---> saved as "2a21e409bf5b3c8b1d28d6d1f34a1b2f869ff3b4b2ec6162b68dbae36556013a" /src: (copy (src .) (dst /src)) 2025-04-10 12:43.33 ---> saved as "6dd258a375d59cd323d7ab725f82797a93a47311337e5ae764bec78b25213048" /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/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89286dee905831ead2a6e8dad26ad79c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020080 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842140 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532384 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596262 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079602 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490901 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790406 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035542 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502048 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750828 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068268 Batch=1199, step=1200, lr=0.195000, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195000, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262160, epoch loss=0.262160 Batch=119, step=1320, lr=0.194750, batch loss=0.205232, epoch loss=0.467392 Batch=179, step=1380, lr=0.194500, batch loss=0.243652, epoch loss=0.711045 Batch=239, step=1440, lr=0.194250, batch loss=0.347910, epoch loss=1.058955 Batch=299, step=1500, lr=0.194000, batch loss=0.247339, epoch loss=1.306294 Batch=359, step=1560, lr=0.193750, batch loss=0.316588, epoch loss=1.622882 Batch=419, step=1620, lr=0.193500, batch loss=0.312721, epoch loss=1.935602 Batch=479, step=1680, lr=0.193250, batch loss=0.276283, epoch loss=2.211885 Batch=539, step=1740, lr=0.193000, batch loss=0.209819, epoch loss=2.421704 Batch=599, step=1800, lr=0.192750, batch loss=0.250427, epoch loss=2.672131 Batch=659, step=1860, lr=0.192500, batch loss=0.367177, epoch loss=3.039308 Batch=719, step=1920, lr=0.192250, batch loss=0.354939, epoch loss=3.394247 Batch=779, step=1980, lr=0.192000, batch loss=0.381355, epoch loss=3.775603 Batch=839, step=2040, lr=0.191750, batch loss=0.339642, epoch loss=4.115244 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410478 Batch=959, step=2160, lr=0.191250, batch loss=0.214043, epoch loss=4.624521 Batch=1019, step=2220, lr=0.191000, batch loss=0.330921, epoch loss=4.955442 Batch=1079, step=2280, lr=0.190750, batch loss=0.208308, epoch loss=5.163750 Batch=1139, step=2340, lr=0.190500, batch loss=0.278308, epoch loss=5.442058 Batch=1199, step=2400, lr=0.190250, batch loss=0.220825, epoch loss=5.662883 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662883 Batch=59, step=2460, lr=0.190000, batch loss=0.230391, epoch loss=0.230391 Batch=119, step=2520, lr=0.189750, batch loss=0.195933, epoch loss=0.426324 Batch=179, step=2580, lr=0.189500, batch loss=0.221168, epoch loss=0.647492 Batch=239, step=2640, lr=0.189250, batch loss=0.328092, epoch loss=0.975584 Batch=299, step=2700, lr=0.189000, batch loss=0.202933, epoch loss=1.178517 Batch=359, step=2760, lr=0.188750, batch loss=0.288270, epoch loss=1.466788 Batch=419, step=2820, lr=0.188500, batch loss=0.280172, epoch loss=1.746960 Batch=479, step=2880, lr=0.188250, batch loss=0.251464, epoch loss=1.998423 Batch=539, step=2940, lr=0.188000, batch loss=0.191281, epoch loss=2.189704 Batch=599, step=3000, lr=0.187750, batch loss=0.224966, epoch loss=2.414670 Batch=659, step=3060, lr=0.187500, batch loss=0.335770, epoch loss=2.750440 Batch=719, step=3120, lr=0.187250, batch loss=0.331401, epoch loss=3.081841 Batch=779, step=3180, lr=0.187000, batch loss=0.357922, epoch loss=3.439763 Batch=839, step=3240, lr=0.186750, batch loss=0.325604, epoch loss=3.765367 Batch=899, step=3300, lr=0.186500, batch loss=0.292371, epoch loss=4.057738 Batch=959, step=3360, lr=0.186250, batch loss=0.244940, epoch loss=4.302678 Batch=1019, step=3420, lr=0.186000, batch loss=0.361929, epoch loss=4.664607 Batch=1079, step=3480, lr=0.185750, batch loss=0.222027, epoch loss=4.886633 Batch=1139, step=3540, lr=0.185500, batch loss=0.264063, epoch loss=5.150697 Batch=1199, step=3600, lr=0.185250, batch loss=0.199943, epoch loss=5.350639 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350639 Batch=59, step=3660, lr=0.185000, batch loss=0.221209, epoch loss=0.221209 Batch=119, step=3720, lr=0.184750, batch loss=0.184967, epoch loss=0.406176 Batch=179, step=3780, lr=0.184500, batch loss=0.211395, epoch loss=0.617570 Batch=239, step=3840, lr=0.184250, batch loss=0.316949, epoch loss=0.934519 Batch=299, step=3900, lr=0.184000, batch loss=0.209226, epoch loss=1.143745 Batch=359, step=3960, lr=0.183750, batch loss=0.285626, epoch loss=1.429371 Batch=419, step=4020, lr=0.183500, batch loss=0.278254, epoch loss=1.707624 Batch=479, step=4080, lr=0.183250, batch loss=0.254968, epoch loss=1.962592 Batch=539, step=4140, lr=0.183000, batch loss=0.199964, epoch loss=2.162556 Batch=599, step=4200, lr=0.182750, batch loss=0.242646, epoch loss=2.405202 Batch=659, step=4260, lr=0.182500, batch loss=0.327748, epoch loss=2.732951 Batch=719, step=4320, lr=0.182250, batch loss=0.330860, epoch loss=3.063810 Batch=779, step=4380, lr=0.182000, batch loss=0.349734, epoch loss=3.413544 Batch=839, step=4440, lr=0.181750, batch loss=0.317836, epoch loss=3.731380 Batch=899, step=4500, lr=0.181500, batch loss=0.285763, epoch loss=4.017143 Batch=959, step=4560, lr=0.181250, batch loss=0.239671, epoch loss=4.256814 Batch=1019, step=4620, lr=0.181000, batch loss=0.332967, epoch loss=4.589781 Batch=1079, step=4680, lr=0.180750, batch loss=0.195766, epoch loss=4.785547 Batch=1139, step=4740, lr=0.180500, batch loss=0.229051, epoch loss=5.014598 Batch=1199, step=4800, lr=0.180250, batch loss=0.193315, epoch loss=5.207914 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207914 Batch=59, step=4860, lr=0.180000, batch loss=0.234174, epoch loss=0.234174 Batch=119, step=4920, lr=0.179750, batch loss=0.192066, epoch loss=0.426241 Batch=179, step=4980, lr=0.179500, batch loss=0.205723, epoch loss=0.631964 Batch=239, step=5040, lr=0.179250, batch loss=0.307543, epoch loss=0.939506 Batch=299, step=5100, lr=0.179000, batch loss=0.205972, epoch loss=1.145478 Batch=359, step=5160, lr=0.178750, batch loss=0.270796, epoch loss=1.416274 Batch=419, step=5220, lr=0.178500, batch loss=0.265479, epoch loss=1.681753 Batch=479, step=5280, lr=0.178250, batch loss=0.242000, epoch loss=1.923753 Batch=539, step=5340, lr=0.178000, batch loss=0.195162, epoch loss=2.118916 Batch=599, step=5400, lr=0.177750, batch loss=0.243540, epoch loss=2.362455 Batch=659, step=5460, lr=0.177500, batch loss=0.317066, epoch loss=2.679521 Batch=719, step=5520, lr=0.177250, batch loss=0.317765, epoch loss=2.997286 Batch=779, step=5580, lr=0.177000, batch loss=0.343124, epoch loss=3.340410 Batch=839, step=5640, lr=0.176750, batch loss=0.308248, epoch loss=3.648658 Batch=899, step=5700, lr=0.176500, batch loss=0.273814, epoch loss=3.922472 Batch=959, step=5760, lr=0.176250, batch loss=0.210783, epoch loss=4.133256 Batch=1019, step=5820, lr=0.176000, batch loss=0.338759, epoch loss=4.472015 Batch=1079, step=5880, lr=0.175750, batch loss=0.201338, epoch loss=4.673352 Batch=1139, step=5940, lr=0.175500, batch loss=0.243014, epoch loss=4.916366 Batch=1199, step=6000, lr=0.175250, batch loss=0.185387, epoch loss=5.101753 Epoch=4, step=6000, lr=0.175250, epoch loss=5.101753 Batch=59, step=6060, lr=0.175000, batch loss=0.226399, epoch loss=0.226399 Batch=119, step=6120, lr=0.174750, batch loss=0.184051, epoch loss=0.410450 Batch=179, step=6180, lr=0.174500, batch loss=0.201402, epoch loss=0.611852 Batch=239, step=6240, lr=0.174250, batch loss=0.301269, epoch loss=0.913121 Batch=299, step=6300, lr=0.174000, batch loss=0.205695, epoch loss=1.118816 Batch=359, step=6360, lr=0.173750, batch loss=0.264949, epoch loss=1.383765 Batch=419, step=6420, lr=0.173500, batch loss=0.261315, epoch loss=1.645080 Batch=479, step=6480, lr=0.173250, batch loss=0.241205, epoch loss=1.886285 Batch=539, step=6540, lr=0.173000, batch loss=0.196266, epoch loss=2.082552 Batch=599, step=6600, lr=0.172750, batch loss=0.232381, epoch loss=2.314933 Batch=659, step=6660, lr=0.172500, batch loss=0.313599, epoch loss=2.628532 Batch=719, step=6720, lr=0.172250, batch loss=0.316686, epoch loss=2.945218 Batch=779, step=6780, lr=0.172000, batch loss=0.330895, epoch loss=3.276113 Batch=839, step=6840, lr=0.171750, batch loss=0.306307, epoch loss=3.582420 Batch=899, step=6900, lr=0.171500, batch loss=0.268576, epoch loss=3.850996 Batch=959, step=6960, lr=0.171250, batch loss=0.207619, epoch loss=4.058615 Batch=1019, step=7020, lr=0.171000, batch loss=0.331483, epoch loss=4.390098 Batch=1079, step=7080, lr=0.170750, batch loss=0.180617, epoch loss=4.570715 Batch=1139, step=7140, lr=0.170250, batch loss=0.216855, epoch loss=4.787571 Batch=1199, step=7200, lr=0.170250, batch loss=0.182296, epoch loss=4.969867 Epoch=5, step=7200, lr=0.170250, epoch loss=4.969867 Batch=59, step=7260, lr=0.169750, batch loss=0.240073, epoch loss=0.240073 Batch=119, step=7320, lr=0.169750, batch loss=0.179713, epoch loss=0.419786 Batch=179, step=7380, lr=0.169500, batch loss=0.195236, epoch loss=0.615022 Batch=239, step=7440, lr=0.169250, batch loss=0.292299, epoch loss=0.907320 Batch=299, step=7500, lr=0.168750, batch loss=0.207800, epoch loss=1.115121 Batch=359, step=7560, lr=0.168750, batch loss=0.261215, epoch loss=1.376336 Batch=419, step=7620, lr=0.168250, batch loss=0.253888, epoch loss=1.630224 Batch=479, step=7680, lr=0.168000, batch loss=0.232121, epoch loss=1.862345 Batch=539, step=7740, lr=0.167750, batch loss=0.185288, epoch loss=2.047633 Batch=599, step=7800, lr=0.167500, batch loss=0.227366, epoch loss=2.274999 Batch=659, step=7860, lr=0.167250, batch loss=0.304118, epoch loss=2.579118 Batch=719, step=7920, lr=0.167000, batch loss=0.308381, epoch loss=2.887499 Batch=779, step=7980, lr=0.166750, batch loss=0.320344, epoch loss=3.207843 Batch=839, step=8040, lr=0.166750, batch loss=0.296675, epoch loss=3.504518 Batch=899, step=8100, lr=0.166500, batch loss=0.258483, epoch loss=3.763001 Batch=959, step=8160, lr=0.166000, batch loss=0.209745, epoch loss=3.972747 Batch=1019, step=8220, lr=0.166000, batch loss=0.313773, epoch loss=4.286520 Batch=1079, step=8280, lr=0.165750, batch loss=0.174838, epoch loss=4.461358 Batch=1139, step=8340, lr=0.165500, batch loss=0.209455, epoch loss=4.670813 Batch=1199, step=8400, lr=0.165250, batch loss=0.178046, epoch loss=4.848859 Epoch=6, step=8400, lr=0.165250, epoch loss=4.848859 Batch=59, step=8460, lr=0.165000, batch loss=0.229022, epoch loss=0.229022 Batch=119, step=8520, lr=0.164750, batch loss=0.174762, epoch loss=0.403784 Batch=179, step=8580, lr=0.164500, batch loss=0.187567, epoch loss=0.591351 Batch=239, step=8640, lr=0.164250, batch loss=0.277894, epoch loss=0.869245 Batch=299, step=8700, lr=0.164000, batch loss=0.191061, epoch loss=1.060306 Batch=359, step=8760, lr=0.163750, batch loss=0.248257, epoch loss=1.308563 Batch=419, step=8820, lr=0.163500, batch loss=0.244498, epoch loss=1.553060 Batch=479, step=8880, lr=0.163250, batch loss=0.228366, epoch loss=1.781426 Batch=539, step=8940, lr=0.163000, batch loss=0.177396, epoch loss=1.958821 Batch=599, step=9000, lr=0.162750, batch loss=0.217879, epoch loss=2.176700 Batch=659, step=9060, lr=0.162500, batch loss=0.293991, epoch loss=2.470691 Batch=719, step=9120, lr=0.162250, batch loss=0.296051, epoch loss=2.766742 Batch=779, step=9180, lr=0.162000, batch loss=0.315172, epoch loss=3.081914 Batch=839, step=9240, lr=0.161750, batch loss=0.280868, epoch loss=3.362782 Batch=899, step=9300, lr=0.161500, batch loss=0.251724, epoch loss=3.614506 Batch=959, step=9360, lr=0.161250, batch loss=0.188516, epoch loss=3.803021 Batch=1019, step=9420, lr=0.161000, batch loss=0.316526, epoch loss=4.119547 Batch=1079, step=9480, lr=0.160750, batch loss=0.186322, epoch loss=4.305869 Batch=1139, step=9540, lr=0.160500, batch loss=0.211954, epoch loss=4.517822 Batch=1199, step=9600, lr=0.160250, batch loss=0.167118, epoch loss=4.684941 Epoch=7, step=9600, lr=0.160250, epoch loss=4.684941 Batch=59, step=9660, lr=0.160000, batch loss=0.198531, epoch loss=0.198531 Batch=119, step=9720, lr=0.159750, batch loss=0.163844, epoch loss=0.362375 Batch=179, step=9780, lr=0.159500, batch loss=0.178696, epoch loss=0.541071 Batch=239, step=9840, lr=0.159250, batch loss=0.259543, epoch loss=0.800614 Batch=299, step=9900, lr=0.159000, batch loss=0.180098, epoch loss=0.980712 Batch=359, step=9960, lr=0.158750, batch loss=0.241303, epoch loss=1.222015 Batch=419, step=10020, lr=0.158500, batch loss=0.236856, epoch loss=1.458872 Batch=479, step=10080, lr=0.158250, batch loss=0.224850, epoch loss=1.683722 Batch=539, step=10140, lr=0.158000, batch loss=0.172418, epoch loss=1.856140 Batch=599, step=10200, lr=0.157750, batch loss=0.200638, epoch loss=2.056778 Batch=659, step=10260, lr=0.157500, batch loss=0.280657, epoch loss=2.337435 Batch=719, step=10320, lr=0.157000, batch loss=0.284456, epoch loss=2.621891 Batch=779, step=10380, lr=0.157000, batch loss=0.293578, epoch loss=2.915469 Batch=839, step=10440, lr=0.156750, batch loss=0.271193, epoch loss=3.186662 Batch=899, step=10500, lr=0.156500, batch loss=0.237996, epoch loss=3.424658 Batch=959, step=10560, lr=0.156250, batch loss=0.176312, epoch loss=3.600970 Batch=1019, step=10620, lr=0.156000, batch loss=0.299172, epoch loss=3.900142 Batch=1079, step=10680, lr=0.155750, batch loss=0.175555, epoch loss=4.075697 Batch=1139, step=10740, lr=0.155500, batch loss=0.200301, epoch loss=4.275998 Batch=1199, step=10800, lr=0.155250, batch loss=0.154436, epoch loss=4.430434 Epoch=8, step=10800, lr=0.155250, epoch loss=4.430434 Batch=59, step=10860, lr=0.155000, batch loss=0.176977, epoch loss=0.176977 Batch=119, step=10920, lr=0.154750, batch loss=0.151259, epoch loss=0.328235 Batch=179, step=10980, lr=0.154500, batch loss=0.166528, epoch loss=0.494763 Batch=239, step=11040, lr=0.154250, batch loss=0.244590, epoch loss=0.739353 Batch=299, step=11100, lr=0.154000, batch loss=0.164608, epoch loss=0.903961 Batch=359, step=11160, lr=0.153750, batch loss=0.223481, epoch loss=1.127443 Batch=419, step=11220, lr=0.153500, batch loss=0.227862, epoch loss=1.355304 Batch=479, step=11280, lr=0.153250, batch loss=0.202713, epoch loss=1.558017 Batch=539, step=11340, lr=0.153000, batch loss=0.159532, epoch loss=1.717548 Batch=599, step=11400, lr=0.152750, batch loss=0.184631, epoch loss=1.902180 Batch=659, step=11460, lr=0.152500, batch loss=0.262169, epoch loss=2.164349 Batch=719, step=11520, lr=0.152000, batch loss=0.256379, epoch loss=2.420728 Batch=779, step=11580, lr=0.152000, batch loss=0.269263, epoch loss=2.689992 Batch=839, step=11640, lr=0.151750, batch loss=0.256718, epoch loss=2.946710 Batch=899, step=11700, lr=0.151500, batch loss=0.216356, epoch loss=3.163066 Batch=959, step=11760, lr=0.151250, batch loss=0.160848, epoch loss=3.323914 Batch=1019, step=11820, lr=0.151000, batch loss=0.257623, epoch loss=3.581537 Batch=1079, step=11880, lr=0.150750, batch loss=0.144514, epoch loss=3.726051 Batch=1139, step=11940, lr=0.150500, batch loss=0.178658, epoch loss=3.904709 Batch=1199, step=12000, lr=0.150250, batch loss=0.139358, epoch loss=4.044067 Epoch=9, step=12000, lr=0.150250, epoch loss=4.044067 Batch=59, step=12060, lr=0.150000, batch loss=0.161769, epoch loss=0.161769 Batch=119, step=12120, lr=0.149750, batch loss=0.135736, epoch loss=0.297505 Batch=179, step=12180, lr=0.149500, batch loss=0.150944, epoch loss=0.448449 Batch=239, step=12240, lr=0.149250, batch loss=0.219626, epoch loss=0.668075 Batch=299, step=12300, lr=0.149000, batch loss=0.141713, epoch loss=0.809789 Batch=359, step=12360, lr=0.148750, batch loss=0.197009, epoch loss=1.006798 Batch=419, step=12420, lr=0.148500, batch loss=0.205396, epoch loss=1.212193 Batch=479, step=12480, lr=0.148250, batch loss=0.178497, epoch loss=1.390691 Batch=539, step=12540, lr=0.148000, batch loss=0.142024, epoch loss=1.532715 Batch=599, step=12600, lr=0.147750, batch loss=0.149102, epoch loss=1.681816 Batch=659, step=12660, lr=0.147500, batch loss=0.225962, epoch loss=1.907778 Batch=719, step=12720, lr=0.147250, batch loss=0.234533, epoch loss=2.142311 Batch=779, step=12780, lr=0.147000, batch loss=0.263845, epoch loss=2.406156 Batch=839, step=12840, lr=0.146750, batch loss=0.232879, epoch loss=2.639035 Batch=899, step=12900, lr=0.146500, batch loss=0.203262, epoch loss=2.842296 Batch=959, step=12960, lr=0.146250, batch loss=0.146352, epoch loss=2.988648 Batch=1019, step=13020, lr=0.146000, batch loss=0.256188, epoch loss=3.244836 Batch=1079, step=13080, lr=0.145750, batch loss=0.117453, epoch loss=3.362289 Batch=1139, step=13140, lr=0.145500, batch loss=0.153928, epoch loss=3.516217 Batch=1199, step=13200, lr=0.145250, batch loss=0.117755, epoch loss=3.633972 Epoch=10, step=13200, lr=0.145250, epoch loss=3.633972 Batch=59, step=13260, lr=0.145000, batch loss=0.142343, epoch loss=0.142343 Batch=119, step=13320, lr=0.144750, batch loss=0.120477, epoch loss=0.262820 Batch=179, step=13380, lr=0.144500, batch loss=0.127007, epoch loss=0.389827 Batch=239, step=13440, lr=0.144250, batch loss=0.186953, epoch loss=0.576780 Batch=299, step=13500, lr=0.144000, batch loss=0.115329, epoch loss=0.692108 Batch=359, step=13560, lr=0.143750, batch loss=0.158705, epoch loss=0.850813 Batch=419, step=13620, lr=0.143500, batch loss=0.161008, epoch loss=1.011821 Batch=479, step=13680, lr=0.143000, batch loss=0.147088, epoch loss=1.158908 Batch=539, step=13740, lr=0.143000, batch loss=0.118183, epoch loss=1.277092 Batch=599, step=13800, lr=0.142750, batch loss=0.120138, epoch loss=1.397229 Batch=659, step=13860, lr=0.142500, batch loss=0.173660, epoch loss=1.570890 Batch=719, step=13920, lr=0.142000, batch loss=0.176725, epoch loss=1.747615 Batch=779, step=13980, lr=0.142000, batch loss=0.195915, epoch loss=1.943530 Batch=839, step=14040, lr=0.141750, batch loss=0.188927, epoch loss=2.132457 Batch=899, step=14100, lr=0.141500, batch loss=0.177105, epoch loss=2.309563 Batch=959, step=14160, lr=0.141250, batch loss=0.144262, epoch loss=2.453825 Batch=1019, step=14220, lr=0.141000, batch loss=0.289180, epoch loss=2.743005 Batch=1079, step=14280, lr=0.140750, batch loss=0.077999, epoch loss=2.821004 Batch=1139, step=14340, lr=0.140500, batch loss=0.122353, epoch loss=2.943357 Batch=1199, step=14400, lr=0.140250, batch loss=0.090262, epoch loss=3.033618 Epoch=11, step=14400, lr=0.140250, epoch loss=3.033618 Batch=59, step=14460, lr=0.140000, batch loss=0.108944, epoch loss=0.108944 Batch=119, step=14520, lr=0.139750, batch loss=0.103404, epoch loss=0.212348 Batch=179, step=14580, lr=0.139500, batch loss=0.103705, epoch loss=0.316052 Batch=239, step=14640, lr=0.139250, batch loss=0.141023, epoch loss=0.457075 Batch=299, step=14700, lr=0.139000, batch loss=0.078109, epoch loss=0.535185 Batch=359, step=14760, lr=0.138750, batch loss=0.118350, epoch loss=0.653535 Batch=419, step=14820, lr=0.138500, batch loss=0.126690, epoch loss=0.780225 Batch=479, step=14880, lr=0.138250, batch loss=0.103504, epoch loss=0.883729 Batch=539, step=14940, lr=0.138000, batch loss=0.107278, epoch loss=0.991007 Batch=599, step=15000, lr=0.137750, batch loss=0.085708, epoch loss=1.076715 Batch=659, step=15060, lr=0.137500, batch loss=0.127116, epoch loss=1.203831 Batch=719, step=15120, lr=0.137250, batch loss=0.120574, epoch loss=1.324405 Batch=779, step=15180, lr=0.137000, batch loss=0.130691, epoch loss=1.455096 Batch=839, step=15240, lr=0.136750, batch loss=0.176709, epoch loss=1.631805 Batch=899, step=15300, lr=0.136500, batch loss=0.290547, epoch loss=1.922353 Batch=959, step=15360, lr=0.136250, batch loss=0.060559, epoch loss=1.982912 Batch=1019, step=15420, lr=0.136000, batch loss=0.136264, epoch loss=2.119176 Batch=1079, step=15480, lr=0.135750, batch loss=0.049105, epoch loss=2.168281 Batch=1139, step=15540, lr=0.135500, batch loss=0.105718, epoch loss=2.273999 Batch=1199, step=15600, lr=0.135250, batch loss=0.060903, epoch loss=2.334902 Epoch=12, step=15600, lr=0.135250, epoch loss=2.334902 Batch=59, step=15660, lr=0.135000, batch loss=0.078866, epoch loss=0.078866 Batch=119, step=15720, lr=0.134750, batch loss=0.099245, epoch loss=0.178111 Batch=179, step=15780, lr=0.134500, batch loss=0.087336, epoch loss=0.265447 Batch=239, step=15840, lr=0.134250, batch loss=0.090679, epoch loss=0.356126 Batch=299, step=15900, lr=0.134000, batch loss=0.039977, epoch loss=0.396103 Batch=359, step=15960, lr=0.133750, batch loss=0.075908, epoch loss=0.472012 Batch=419, step=16020, lr=0.133500, batch loss=0.077993, epoch loss=0.550005 Batch=479, step=16080, lr=0.133250, batch loss=0.058522, epoch loss=0.608527 Batch=539, step=16140, lr=0.133000, batch loss=0.061822, epoch loss=0.670348 Batch=599, step=16200, lr=0.132750, batch loss=0.134579, epoch loss=0.804927 Batch=659, step=16260, lr=0.132500, batch loss=0.081916, epoch loss=0.886843 Batch=719, step=16320, lr=0.132000, batch loss=0.133489, epoch loss=1.020332 Batch=779, step=16380, lr=0.132000, batch loss=0.290687, epoch loss=1.311019 Batch=839, step=16440, lr=0.131750, batch loss=0.089930, epoch loss=1.400948 Batch=899, step=16500, lr=0.131500, batch loss=0.075060, epoch loss=1.476008 Batch=959, step=16560, lr=0.131250, batch loss=0.033263, epoch loss=1.509272 Batch=1019, step=16620, lr=0.131000, batch loss=0.064446, epoch loss=1.573718 Batch=1079, step=16680, lr=0.130750, batch loss=0.051965, epoch loss=1.625683 Batch=1139, step=16740, lr=0.130500, batch loss=0.089246, epoch loss=1.714929 Batch=1199, step=16800, lr=0.130250, batch loss=0.041471, epoch loss=1.756400 Epoch=13, step=16800, lr=0.130250, epoch loss=1.756400 Batch=59, step=16860, lr=0.130000, batch loss=0.033527, epoch loss=0.033527 Batch=119, step=16920, lr=0.129750, batch loss=0.034642, epoch loss=0.068170 Batch=179, step=16980, lr=0.129500, batch loss=0.043199, epoch loss=0.111369 Batch=239, step=17040, lr=0.129250, batch loss=0.060069, epoch loss=0.171438 Batch=299, step=17100, lr=0.129000, batch loss=0.025882, epoch loss=0.197320 Batch=359, step=17160, lr=0.128750, batch loss=0.049111, epoch loss=0.246431 Batch=419, step=17220, lr=0.128500, batch loss=0.076096, epoch loss=0.322528 Batch=479, step=17280, lr=0.128250, batch loss=0.022726, epoch loss=0.345254 Batch=539, step=17340, lr=0.128000, batch loss=0.027223, epoch loss=0.372477 Batch=599, step=17400, lr=0.127750, batch loss=0.041181, epoch loss=0.413658 Batch=659, step=17460, lr=0.127500, batch loss=0.051470, epoch loss=0.465128 Batch=719, step=17520, lr=0.127250, batch loss=0.057537, epoch loss=0.522666 Batch=779, step=17580, lr=0.127000, batch loss=0.060206, epoch loss=0.582871 Batch=839, step=17640, lr=0.126750, batch loss=0.100330, epoch loss=0.683202 Batch=899, step=17700, lr=0.126500, batch loss=0.047819, epoch loss=0.731021 Batch=959, step=17760, lr=0.126250, batch loss=0.018615, epoch loss=0.749636 Batch=1019, step=17820, lr=0.126000, batch loss=0.049633, epoch loss=0.799269 Batch=1079, step=17880, lr=0.125750, batch loss=0.040985, epoch loss=0.840255 Batch=1139, step=17940, lr=0.125500, batch loss=0.081394, epoch loss=0.921648 Batch=1199, step=18000, lr=0.125250, batch loss=0.025120, epoch loss=0.946768 Epoch=14, step=18000, lr=0.125250, epoch loss=0.946768 Batch=59, step=18060, lr=0.125000, batch loss=0.016416, epoch loss=0.016416 Batch=119, step=18120, lr=0.124750, batch loss=0.024339, epoch loss=0.040754 Batch=179, step=18180, lr=0.124250, batch loss=0.056986, epoch loss=0.097740 Batch=239, step=18240, lr=0.124250, batch loss=0.036410, epoch loss=0.134151 Batch=299, step=18300, lr=0.124000, batch loss=0.016975, epoch loss=0.151126 Batch=359, step=18360, lr=0.123750, batch loss=0.043678, epoch loss=0.194803 Batch=419, step=18420, lr=0.123500, batch loss=0.031351, epoch loss=0.226154 Batch=479, step=18480, lr=0.123250, batch loss=0.019239, epoch loss=0.245394 Batch=539, step=18540, lr=0.123000, batch loss=0.023117, epoch loss=0.268511 Batch=599, step=18600, lr=0.122750, batch loss=0.025177, epoch loss=0.293688 Batch=659, step=18660, lr=0.122500, batch loss=0.029861, epoch loss=0.323548 Batch=719, step=18720, lr=0.122250, batch loss=0.038488, epoch loss=0.362036 Batch=779, step=18780, lr=0.122000, batch loss=0.102966, epoch loss=0.465003 Batch=839, step=18840, lr=0.121750, batch loss=0.053444, epoch loss=0.518447 Batch=899, step=18900, lr=0.121500, batch loss=0.056247, epoch loss=0.574694 Batch=959, step=18960, lr=0.121250, batch loss=0.013592, epoch loss=0.588286 Batch=1019, step=19020, lr=0.121000, batch loss=0.023238, epoch loss=0.611524 Batch=1079, step=19080, lr=0.120750, batch loss=0.012771, epoch loss=0.624295 Batch=1139, step=19140, lr=0.120500, batch loss=0.023655, epoch loss=0.647950 Batch=1199, step=19200, lr=0.120250, batch loss=0.009064, epoch loss=0.657014 Epoch=15, step=19200, lr=0.120250, epoch loss=0.657014 Batch=59, step=19260, lr=0.119750, batch loss=0.005199, epoch loss=0.005199 Batch=119, step=19320, lr=0.119750, batch loss=0.020073, epoch loss=0.025272 Batch=179, step=19380, lr=0.119500, batch loss=0.048252, epoch loss=0.073524 Batch=239, step=19440, lr=0.119250, batch loss=0.020807, epoch loss=0.094330 Batch=299, step=19500, lr=0.119000, batch loss=0.012674, epoch loss=0.107004 Batch=359, step=19560, lr=0.118750, batch loss=0.029050, epoch loss=0.136055 Batch=419, step=19620, lr=0.118500, batch loss=0.019946, epoch loss=0.156001 Batch=479, step=19680, lr=0.118250, batch loss=0.009324, epoch loss=0.165325 Batch=539, step=19740, lr=0.118000, batch loss=0.017704, epoch loss=0.183029 Batch=599, step=19800, lr=0.117750, batch loss=0.023702, epoch loss=0.206731 Batch=659, step=19860, lr=0.117500, batch loss=0.020147, epoch loss=0.226878 Batch=719, step=19920, lr=0.117000, batch loss=0.056883, epoch loss=0.283760 Batch=779, step=19980, lr=0.117000, batch loss=0.083267, epoch loss=0.367027 Batch=839, step=20040, lr=0.116500, batch loss=0.030516, epoch loss=0.397544 Batch=899, step=20100, lr=0.116500, batch loss=0.032543, epoch loss=0.430087 Batch=959, step=20160, lr=0.116250, batch loss=0.011089, epoch loss=0.441176 Batch=1019, step=20220, lr=0.116000, batch loss=0.014086, epoch loss=0.455262 Batch=1079, step=20280, lr=0.115750, batch loss=0.002800, epoch loss=0.458061 Batch=1139, step=20340, lr=0.115250, batch loss=0.016442, epoch loss=0.474504 Batch=1199, step=20400, lr=0.115250, batch loss=0.006631, epoch loss=0.481135 Epoch=16, step=20400, lr=0.115250, epoch loss=0.481135 Batch=59, step=20460, lr=0.115000, batch loss=0.003229, epoch loss=0.003229 Batch=119, step=20520, lr=0.114500, batch loss=0.009986, epoch loss=0.013215 Batch=179, step=20580, lr=0.114500, batch loss=0.026385, epoch loss=0.039600 Batch=239, step=20640, lr=0.114250, batch loss=0.014726, epoch loss=0.054326 Batch=299, step=20700, lr=0.114000, batch loss=0.003097, epoch loss=0.057424 Batch=359, step=20760, lr=0.113750, batch loss=0.013078, epoch loss=0.070502 Batch=419, step=20820, lr=0.113500, batch loss=0.014137, epoch loss=0.084639 Batch=479, step=20880, lr=0.113250, batch loss=0.004111, epoch loss=0.088750 Batch=539, step=20940, lr=0.113000, batch loss=0.018295, epoch loss=0.107045 Batch=599, step=21000, lr=0.112750, batch loss=0.020586, epoch loss=0.127631 Batch=659, step=21060, lr=0.112250, batch loss=0.013900, epoch loss=0.141531 Batch=719, step=21120, lr=0.112250, batch loss=0.045191, epoch loss=0.186722 Batch=779, step=21180, lr=0.112000, batch loss=0.069121, epoch loss=0.255843 Batch=839, step=21240, lr=0.111750, batch loss=0.025490, epoch loss=0.281333 Batch=899, step=21300, lr=0.111500, batch loss=0.027825, epoch loss=0.309158 Batch=959, step=21360, lr=0.111250, batch loss=0.010548, epoch loss=0.319705 Batch=1019, step=21420, lr=0.111000, batch loss=0.011462, epoch loss=0.331168 Batch=1079, step=21480, lr=0.110750, batch loss=0.001319, epoch loss=0.332486 Batch=1139, step=21540, lr=0.110500, batch loss=0.013197, epoch loss=0.345683 Batch=1199, step=21600, lr=0.110250, batch loss=0.005017, epoch loss=0.350700 Epoch=17, step=21600, lr=0.110250, epoch loss=0.350700 Batch=59, step=21660, lr=0.110000, batch loss=0.002711, epoch loss=0.002711 Batch=119, step=21720, lr=0.109750, batch loss=0.007080, epoch loss=0.009791 Batch=179, step=21780, lr=0.109500, batch loss=0.012985, epoch loss=0.022777 Batch=239, step=21840, lr=0.109250, batch loss=0.009950, epoch loss=0.032727 Batch=299, step=21900, lr=0.109000, batch loss=0.015852, epoch loss=0.048579 Batch=359, step=21960, lr=0.108750, batch loss=0.015254, epoch loss=0.063833 Batch=419, step=22020, lr=0.108500, batch loss=0.012540, epoch loss=0.076373 Batch=479, step=22080, lr=0.108250, batch loss=0.002840, epoch loss=0.079212 Batch=539, step=22140, lr=0.108000, batch loss=0.019032, epoch loss=0.098244 Batch=599, step=22200, lr=0.107750, batch loss=0.017295, epoch loss=0.115539 Batch=659, step=22260, lr=0.107500, batch loss=0.015984, epoch loss=0.131523 Batch=719, step=22320, lr=0.107250, batch loss=0.022936, epoch loss=0.154459 Batch=779, step=22380, lr=0.107000, batch loss=0.029379, epoch loss=0.183838 Batch=839, step=22440, lr=0.106750, batch loss=0.029626, epoch loss=0.213464 Batch=899, step=22500, lr=0.106500, batch loss=0.023818, epoch loss=0.237282 Batch=959, step=22560, lr=0.106000, batch loss=0.008953, epoch loss=0.246236 Batch=1019, step=22620, lr=0.106000, batch loss=0.007482, epoch loss=0.253718 Batch=1079, step=22680, lr=0.105750, batch loss=0.002562, epoch loss=0.256280 Batch=1139, step=22740, lr=0.105500, batch loss=0.011183, epoch loss=0.267463 Batch=1199, step=22800, lr=0.105000, batch loss=0.005136, epoch loss=0.272599 Epoch=18, step=22800, lr=0.105000, epoch loss=0.272599 Batch=59, step=22860, lr=0.105000, batch loss=0.002374, epoch loss=0.002374 Batch=119, step=22920, lr=0.104750, batch loss=0.005250, epoch loss=0.007624 Batch=179, step=22980, lr=0.104500, batch loss=0.012256, epoch loss=0.019880 Batch=239, step=23040, lr=0.104250, batch loss=0.008537, epoch loss=0.028417 Batch=299, step=23100, lr=0.104000, batch loss=0.004765, epoch loss=0.033182 Batch=359, step=23160, lr=0.103750, batch loss=0.011774, epoch loss=0.044956 Batch=419, step=23220, lr=0.103500, batch loss=0.010069, epoch loss=0.055025 Batch=479, step=23280, lr=0.103250, batch loss=0.004654, epoch loss=0.059679 Batch=539, step=23340, lr=0.103000, batch loss=0.014986, epoch loss=0.074665 Batch=599, step=23400, lr=0.102750, batch loss=0.014314, epoch loss=0.088979 Batch=659, step=23460, lr=0.102500, batch loss=0.012704, epoch loss=0.101683 Batch=719, step=23520, lr=0.102000, batch loss=0.017444, epoch loss=0.119127 Batch=779, step=23580, lr=0.102000, batch loss=0.021115, epoch loss=0.140242 Batch=839, step=23640, lr=0.101750, batch loss=0.025480, epoch loss=0.165722 Batch=899, step=23700, lr=0.101500, batch loss=0.022198, epoch loss=0.187920 Batch=959, step=23760, lr=0.101250, batch loss=0.008674, epoch loss=0.196594 Batch=1019, step=23820, lr=0.101000, batch loss=0.008302, epoch loss=0.204896 Batch=1079, step=23880, lr=0.100750, batch loss=0.001513, epoch loss=0.206409 Batch=1139, step=23940, lr=0.100500, batch loss=0.008835, epoch loss=0.215244 Batch=1199, step=24000, lr=0.100250, batch loss=0.004933, epoch loss=0.220177 Epoch=19, step=24000, lr=0.100250, epoch loss=0.220177 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-10 12:45.19 ---> saved as "151544b23c5d777787d43f5da0c528313b65ec1cd865e9e8fdbc2d18adea11c1" Job succeeded 2025-04-10 12:45.20: Job succeeded