2025-04-10 12:25.41: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-arm64:debian-12-5.3_arm64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661 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@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661 # debian-12-5.3_arm64_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 12:25.41: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661-debian-12-5.3_arm64_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-10 12:25.41: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661) (comment debian-12-5.3_arm64_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 12:25.41: Waiting for resource in pool OCluster 2025-04-10 12:25.59: Waiting for worker… 2025-04-10 12:25.59: Got resource from pool OCluster Building on okypous.caelum.ci.dev All commits already cached HEAD is now at a65dd895 Tiny formatting (from ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661' locally docker.io/ocaml/opam@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661: Pulling from ocaml/opam Digest: sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661 Status: Downloaded newer image for ocaml/opam@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661 2025-04-10 12:25.42 ---> using "d28b54bcf65c58f2466132f3f25ef6d2e8fc8819a7932c743b84c913ccd00505" from cache /: (comment debian-12-5.3_arm64_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 12:25.42 ---> saved as "f78708044cfae53a962bc7ad73abd6d985e62edec569df9dab005baa5a11edd7" /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 12:26.10 ---> saved as "16971ad0efb5e71874594e47c41be7ed4df63552ac2969c6388265225d55f7b5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-04-10 12:26.10 ---> saved as "c27eac081e6f4ace2f6a8b562362398f799dfb45b8d78d6fe63a3bfece7ebcd2" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-10 12:26.10 ---> saved as "15fa3b7d3c56cf9b4394ea8aaf844ece905b30183ffec1ed6d09350bf0feefae" /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 12:26.32 ---> saved as "4d383ec5a6d7977cb4ac293644d5e1f0ff5169802b950d2149c39aadf37a4959" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-10 12:26.32 ---> saved as "c7b2bc7dce42ca0c82be4e203265639fffce27c4bc1914201ceb1b0dc98ed304" /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 12:26.35 ---> saved as "81acaef9c10ace11d6e51c97e886b6a917f23c71a7abe0314697b119ec7600dc" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-10 12:26.35 ---> saved as "5590f80c4fcdbc893b76debc2faec450251c5d4a66bb192f8db43dbdb57fcf8d" /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 arm64 Packages [248 kB] - Fetched 352 kB in 0s (799 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:arm64. - (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 ... 18801 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ... - Unpacking libffi-dev:arm64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:arm64. - Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ... - Unpacking libpkgconf3:arm64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:arm64. - Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ... - Unpacking pkgconf:arm64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:arm64. - Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ... - Unpacking pkg-config:arm64 (1.8.1-1) ... - Setting up libffi-dev:arm64 (3.4.4-1) ... - Setting up libpkgconf3:arm64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:arm64 (1.8.1-1) ... - Setting up pkg-config:arm64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-04-10 12:26.48 ---> saved as "2f1c66dd19e98a2e40800cbb84afac618c26b9e66b60dcfd1ea8a528345faaa8" /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 backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.1 (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 -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved 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 multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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 dune.3.18.0, dune-configurator.3.18.0 (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_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_expect.v0.17.2 (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_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ppx_minidebug.2.2.0 (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 ppxlib.0.35.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uucp.16.0.0 (cached) -> 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.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> 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 mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed 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_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ppx_sexp_conv.v0.17.0 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-04-10 12:28.08 ---> saved as "896a4c6cfe825b4eb6b71a2c509ff73bf6e5c9b696e797b0dce5c63d1de0ad59" /src: (copy (src .) (dst /src)) 2025-04-10 12:28.08 ---> saved as "c5a20c900a31e86af77ca6256579f53343c432a4b512eb679fc38228ef3f6cd6" /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/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/34018e5a543a5c58b1eb75b030d48876/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/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=0.198750, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198500, batch loss=1.327597, epoch loss=38.399812 Batch=419, step=420, lr=0.198250, batch loss=0.619133, epoch loss=39.018944 Batch=479, step=480, lr=0.198250, batch loss=0.821263, epoch loss=39.840207 Batch=539, step=540, lr=0.198000, batch loss=0.692611, epoch loss=40.532818 Batch=599, step=600, lr=0.197750, batch loss=1.063080, epoch loss=41.595898 Batch=659, step=660, lr=0.197500, batch loss=0.483658, epoch loss=42.079556 Batch=719, step=720, lr=0.197250, batch loss=0.411423, epoch loss=42.490979 Batch=779, step=780, lr=0.197000, batch loss=0.470142, epoch loss=42.961121 Batch=839, step=840, lr=0.196750, batch loss=0.446885, epoch loss=43.408006 Batch=899, step=900, lr=0.196500, batch loss=0.382839, epoch loss=43.790845 Batch=959, step=960, lr=0.196250, batch loss=0.245016, epoch loss=44.035861 Batch=1019, step=1020, lr=0.195750, batch loss=0.467108, epoch loss=44.502969 Batch=1079, step=1080, lr=0.195750, batch loss=0.248258, epoch loss=44.751226 Batch=1139, step=1140, lr=0.195500, batch loss=0.318151, epoch loss=45.069377 Batch=1199, step=1200, lr=0.195000, batch loss=0.263654, epoch loss=45.333031 Epoch=0, step=1200, lr=0.195000, epoch loss=45.333031 Batch=59, step=1260, lr=0.194750, batch loss=0.262140, epoch loss=0.262140 Batch=119, step=1320, lr=0.194750, batch loss=0.205436, epoch loss=0.467577 Batch=179, step=1380, lr=0.194500, batch loss=0.243650, epoch loss=0.711226 Batch=239, step=1440, lr=0.194250, batch loss=0.347729, epoch loss=1.058955 Batch=299, step=1500, lr=0.194000, batch loss=0.247724, epoch loss=1.306679 Batch=359, step=1560, lr=0.193750, batch loss=0.316192, epoch loss=1.622872 Batch=419, step=1620, lr=0.193500, batch loss=0.309075, epoch loss=1.931946 Batch=479, step=1680, lr=0.193250, batch loss=0.274907, epoch loss=2.206853 Batch=539, step=1740, lr=0.193000, batch loss=0.210360, epoch loss=2.417213 Batch=599, step=1800, lr=0.192750, batch loss=0.251984, epoch loss=2.669197 Batch=659, step=1860, lr=0.192500, batch loss=0.367143, epoch loss=3.036340 Batch=719, step=1920, lr=0.192250, batch loss=0.355066, epoch loss=3.391405 Batch=779, step=1980, lr=0.192000, batch loss=0.380862, epoch loss=3.772267 Batch=839, step=2040, lr=0.191750, batch loss=0.340227, epoch loss=4.112494 Batch=899, step=2100, lr=0.191500, batch loss=0.294910, epoch loss=4.407404 Batch=959, step=2160, lr=0.191250, batch loss=0.214422, epoch loss=4.621825 Batch=1019, step=2220, lr=0.191000, batch loss=0.329678, epoch loss=4.951503 Batch=1079, step=2280, lr=0.190500, batch loss=0.196156, epoch loss=5.147659 Batch=1139, step=2340, lr=0.190500, batch loss=0.260763, epoch loss=5.408421 Batch=1199, step=2400, lr=0.190000, batch loss=0.210787, epoch loss=5.619208 Epoch=1, step=2400, lr=0.190000, epoch loss=5.619208 Batch=59, step=2460, lr=0.189750, batch loss=0.228400, epoch loss=0.228400 Batch=119, step=2520, lr=0.189500, batch loss=0.199033, epoch loss=0.427433 Batch=179, step=2580, lr=0.189250, batch loss=0.220940, epoch loss=0.648373 Batch=239, step=2640, lr=0.189250, batch loss=0.326399, epoch loss=0.974773 Batch=299, step=2700, lr=0.189000, batch loss=0.215276, epoch loss=1.190049 Batch=359, step=2760, lr=0.188750, batch loss=0.292615, epoch loss=1.482663 Batch=419, step=2820, lr=0.188250, batch loss=0.286131, epoch loss=1.768795 Batch=479, step=2880, lr=0.188000, batch loss=0.261656, epoch loss=2.030450 Batch=539, step=2940, lr=0.188000, batch loss=0.201956, epoch loss=2.232406 Batch=599, step=3000, lr=0.187750, batch loss=0.245211, epoch loss=2.477617 Batch=659, step=3060, lr=0.187500, batch loss=0.344959, epoch loss=2.822576 Batch=719, step=3120, lr=0.187250, batch loss=0.346642, epoch loss=3.169218 Batch=779, step=3180, lr=0.187000, batch loss=0.363879, epoch loss=3.533097 Batch=839, step=3240, lr=0.186750, batch loss=0.323549, epoch loss=3.856646 Batch=899, step=3300, lr=0.186500, batch loss=0.296885, epoch loss=4.153531 Batch=959, step=3360, lr=0.186250, batch loss=0.242275, epoch loss=4.395806 Batch=1019, step=3420, lr=0.186000, batch loss=0.370143, epoch loss=4.765950 Batch=1079, step=3480, lr=0.185500, batch loss=0.231254, epoch loss=4.997204 Batch=1139, step=3540, lr=0.185500, batch loss=0.260003, epoch loss=5.257207 Batch=1199, step=3600, lr=0.185250, batch loss=0.201497, epoch loss=5.458704 Epoch=2, step=3600, lr=0.185250, epoch loss=5.458704 Batch=59, step=3660, lr=0.185000, batch loss=0.223541, epoch loss=0.223541 Batch=119, step=3720, lr=0.184750, batch loss=0.184350, epoch loss=0.407891 Batch=179, step=3780, lr=0.184500, batch loss=0.212050, epoch loss=0.619942 Batch=239, step=3840, lr=0.184250, batch loss=0.315888, epoch loss=0.935829 Batch=299, step=3900, lr=0.184000, batch loss=0.205814, epoch loss=1.141644 Batch=359, step=3960, lr=0.183750, batch loss=0.287322, epoch loss=1.428966 Batch=419, step=4020, lr=0.183500, batch loss=0.273995, epoch loss=1.702960 Batch=479, step=4080, lr=0.183250, batch loss=0.259691, epoch loss=1.962651 Batch=539, step=4140, lr=0.183000, batch loss=0.194362, epoch loss=2.157014 Batch=599, step=4200, lr=0.182750, batch loss=0.229895, epoch loss=2.386908 Batch=659, step=4260, lr=0.182500, batch loss=0.330054, epoch loss=2.716962 Batch=719, step=4320, lr=0.182250, batch loss=0.334770, epoch loss=3.051732 Batch=779, step=4380, lr=0.182000, batch loss=0.356212, epoch loss=3.407944 Batch=839, step=4440, lr=0.181750, batch loss=0.313527, epoch loss=3.721471 Batch=899, step=4500, lr=0.181500, batch loss=0.284331, epoch loss=4.005802 Batch=959, step=4560, lr=0.181250, batch loss=0.234052, epoch loss=4.239854 Batch=1019, step=4620, lr=0.181000, batch loss=0.323336, epoch loss=4.563190 Batch=1079, step=4680, lr=0.180750, batch loss=0.191044, epoch loss=4.754234 Batch=1139, step=4740, lr=0.180500, batch loss=0.227439, epoch loss=4.981672 Batch=1199, step=4800, lr=0.180250, batch loss=0.191730, epoch loss=5.173402 Epoch=3, step=4800, lr=0.180250, epoch loss=5.173402 Batch=59, step=4860, lr=0.180000, batch loss=0.229316, epoch loss=0.229316 Batch=119, step=4920, lr=0.179750, batch loss=0.189597, epoch loss=0.418913 Batch=179, step=4980, lr=0.179500, batch loss=0.206048, epoch loss=0.624960 Batch=239, step=5040, lr=0.179250, batch loss=0.307293, epoch loss=0.932253 Batch=299, step=5100, lr=0.179000, batch loss=0.201143, epoch loss=1.133396 Batch=359, step=5160, lr=0.178750, batch loss=0.274112, epoch loss=1.407508 Batch=419, step=5220, lr=0.178500, batch loss=0.264434, epoch loss=1.671942 Batch=479, step=5280, lr=0.178250, batch loss=0.240162, epoch loss=1.912103 Batch=539, step=5340, lr=0.178000, batch loss=0.189389, epoch loss=2.101493 Batch=599, step=5400, lr=0.177750, batch loss=0.232217, epoch loss=2.333710 Batch=659, step=5460, lr=0.177500, batch loss=0.323760, epoch loss=2.657470 Batch=719, step=5520, lr=0.177250, batch loss=0.325383, epoch loss=2.982853 Batch=779, step=5580, lr=0.177000, batch loss=0.338508, epoch loss=3.321360 Batch=839, step=5640, lr=0.176750, batch loss=0.313890, epoch loss=3.635251 Batch=899, step=5700, lr=0.176500, batch loss=0.277837, epoch loss=3.913087 Batch=959, step=5760, lr=0.176250, batch loss=0.219912, epoch loss=4.133000 Batch=1019, step=5820, lr=0.176000, batch loss=0.332786, epoch loss=4.465786 Batch=1079, step=5880, lr=0.175750, batch loss=0.199415, epoch loss=4.665201 Batch=1139, step=5940, lr=0.175500, batch loss=0.237677, epoch loss=4.902877 Batch=1199, step=6000, lr=0.175000, batch loss=0.186074, epoch loss=5.088951 Epoch=4, step=6000, lr=0.175000, epoch loss=5.088951 Batch=59, step=6060, lr=0.175000, batch loss=0.233263, epoch loss=0.233263 Batch=119, step=6120, lr=0.174750, batch loss=0.192173, epoch loss=0.425436 Batch=179, step=6180, lr=0.174500, batch loss=0.201690, epoch loss=0.627126 Batch=239, step=6240, lr=0.174250, batch loss=0.298294, epoch loss=0.925419 Batch=299, step=6300, lr=0.174000, batch loss=0.201032, epoch loss=1.126452 Batch=359, step=6360, lr=0.173750, batch loss=0.263044, epoch loss=1.389496 Batch=419, step=6420, lr=0.173500, batch loss=0.257564, epoch loss=1.647059 Batch=479, step=6480, lr=0.173250, batch loss=0.231631, epoch loss=1.878690 Batch=539, step=6540, lr=0.172750, batch loss=0.190429, epoch loss=2.069119 Batch=599, step=6600, lr=0.172750, batch loss=0.232504, epoch loss=2.301623 Batch=659, step=6660, lr=0.172500, batch loss=0.312839, epoch loss=2.614462 Batch=719, step=6720, lr=0.172250, batch loss=0.316646, epoch loss=2.931109 Batch=779, step=6780, lr=0.172000, batch loss=0.328930, epoch loss=3.260039 Batch=839, step=6840, lr=0.171750, batch loss=0.305904, epoch loss=3.565943 Batch=899, step=6900, lr=0.171500, batch loss=0.263295, epoch loss=3.829238 Batch=959, step=6960, lr=0.171250, batch loss=0.217025, epoch loss=4.046263 Batch=1019, step=7020, lr=0.171000, batch loss=0.322260, epoch loss=4.368523 Batch=1079, step=7080, lr=0.170750, batch loss=0.180285, epoch loss=4.548808 Batch=1139, step=7140, lr=0.170500, batch loss=0.218028, epoch loss=4.766835 Batch=1199, step=7200, lr=0.170250, batch loss=0.182537, epoch loss=4.949372 Epoch=5, step=7200, lr=0.170250, epoch loss=4.949372 Batch=59, step=7260, lr=0.170000, batch loss=0.241002, epoch loss=0.241002 Batch=119, step=7320, lr=0.169750, batch loss=0.179525, epoch loss=0.420527 Batch=179, step=7380, lr=0.169500, batch loss=0.194421, epoch loss=0.614947 Batch=239, step=7440, lr=0.169250, batch loss=0.290014, epoch loss=0.904961 Batch=299, step=7500, lr=0.169000, batch loss=0.209190, epoch loss=1.114152 Batch=359, step=7560, lr=0.168750, batch loss=0.260667, epoch loss=1.374818 Batch=419, step=7620, lr=0.168500, batch loss=0.255162, epoch loss=1.629980 Batch=479, step=7680, lr=0.168250, batch loss=0.238340, epoch loss=1.868320 Batch=539, step=7740, lr=0.168000, batch loss=0.186744, epoch loss=2.055064 Batch=599, step=7800, lr=0.167750, batch loss=0.227179, epoch loss=2.282243 Batch=659, step=7860, lr=0.167500, batch loss=0.303890, epoch loss=2.586133 Batch=719, step=7920, lr=0.167250, batch loss=0.307080, epoch loss=2.893213 Batch=779, step=7980, lr=0.167000, batch loss=0.320284, epoch loss=3.213497 Batch=839, step=8040, lr=0.166750, batch loss=0.296051, epoch loss=3.509548 Batch=899, step=8100, lr=0.166500, batch loss=0.258706, epoch loss=3.768254 Batch=959, step=8160, lr=0.166250, batch loss=0.208634, epoch loss=3.976888 Batch=1019, step=8220, lr=0.166000, batch loss=0.315640, epoch loss=4.292528 Batch=1079, step=8280, lr=0.165750, batch loss=0.175026, epoch loss=4.467554 Batch=1139, step=8340, lr=0.165500, batch loss=0.208597, epoch loss=4.676151 Batch=1199, step=8400, lr=0.165250, batch loss=0.176787, epoch loss=4.852938 Epoch=6, step=8400, lr=0.165250, epoch loss=4.852938 Batch=59, step=8460, lr=0.165000, batch loss=0.231619, epoch loss=0.231619 Batch=119, step=8520, lr=0.164750, batch loss=0.173569, epoch loss=0.405188 Batch=179, step=8580, lr=0.164500, batch loss=0.186977, epoch loss=0.592165 Batch=239, step=8640, lr=0.164250, batch loss=0.276770, epoch loss=0.868935 Batch=299, step=8700, lr=0.164000, batch loss=0.189737, epoch loss=1.058672 Batch=359, step=8760, lr=0.163750, batch loss=0.249708, epoch loss=1.308381 Batch=419, step=8820, lr=0.163500, batch loss=0.243668, epoch loss=1.552048 Batch=479, step=8880, lr=0.163250, batch loss=0.229494, epoch loss=1.781542 Batch=539, step=8940, lr=0.163000, batch loss=0.176860, epoch loss=1.958403 Batch=599, step=9000, lr=0.162500, batch loss=0.219279, epoch loss=2.177681 Batch=659, step=9060, lr=0.162500, batch loss=0.292862, epoch loss=2.470544 Batch=719, step=9120, lr=0.162000, batch loss=0.294938, epoch loss=2.765481 Batch=779, step=9180, lr=0.162000, batch loss=0.313663, epoch loss=3.079144 Batch=839, step=9240, lr=0.161750, batch loss=0.287078, epoch loss=3.366222 Batch=899, step=9300, lr=0.161250, batch loss=0.249822, epoch loss=3.616044 Batch=959, step=9360, lr=0.161250, batch loss=0.190792, epoch loss=3.806836 Batch=1019, step=9420, lr=0.161000, batch loss=0.314111, epoch loss=4.120947 Batch=1079, step=9480, lr=0.160500, batch loss=0.191342, epoch loss=4.312289 Batch=1139, step=9540, lr=0.160500, batch loss=0.211409, epoch loss=4.523698 Batch=1199, step=9600, lr=0.160250, batch loss=0.166937, epoch loss=4.690634 Epoch=7, step=9600, lr=0.160250, epoch loss=4.690634 Batch=59, step=9660, lr=0.160000, batch loss=0.199586, epoch loss=0.199586 Batch=119, step=9720, lr=0.159750, batch loss=0.162847, epoch loss=0.362434 Batch=179, step=9780, lr=0.159500, batch loss=0.177444, epoch loss=0.539878 Batch=239, step=9840, lr=0.159250, batch loss=0.261416, epoch loss=0.801294 Batch=299, step=9900, lr=0.159000, batch loss=0.181161, epoch loss=0.982454 Batch=359, step=9960, lr=0.158750, batch loss=0.240239, epoch loss=1.222693 Batch=419, step=10020, lr=0.158500, batch loss=0.230829, epoch loss=1.453523 Batch=479, step=10080, lr=0.158250, batch loss=0.214238, epoch loss=1.667761 Batch=539, step=10140, lr=0.158000, batch loss=0.169794, epoch loss=1.837555 Batch=599, step=10200, lr=0.157750, batch loss=0.202477, epoch loss=2.040032 Batch=659, step=10260, lr=0.157500, batch loss=0.279968, epoch loss=2.320000 Batch=719, step=10320, lr=0.157250, batch loss=0.284730, epoch loss=2.604730 Batch=779, step=10380, lr=0.157000, batch loss=0.293180, epoch loss=2.897911 Batch=839, step=10440, lr=0.156750, batch loss=0.272721, epoch loss=3.170632 Batch=899, step=10500, lr=0.156500, batch loss=0.234749, epoch loss=3.405381 Batch=959, step=10560, lr=0.156250, batch loss=0.182498, epoch loss=3.587880 Batch=1019, step=10620, lr=0.156000, batch loss=0.294485, epoch loss=3.882364 Batch=1079, step=10680, lr=0.155750, batch loss=0.181188, epoch loss=4.063552 Batch=1139, step=10740, lr=0.155500, batch loss=0.203746, epoch loss=4.267298 Batch=1199, step=10800, lr=0.155250, batch loss=0.155334, epoch loss=4.422631 Epoch=8, step=10800, lr=0.155250, epoch loss=4.422631 Batch=59, step=10860, lr=0.155000, batch loss=0.179277, epoch loss=0.179277 Batch=119, step=10920, lr=0.154750, batch loss=0.149895, epoch loss=0.329172 Batch=179, step=10980, lr=0.154500, batch loss=0.166456, epoch loss=0.495628 Batch=239, step=11040, lr=0.154250, batch loss=0.247665, epoch loss=0.743293 Batch=299, step=11100, lr=0.154000, batch loss=0.164038, epoch loss=0.907331 Batch=359, step=11160, lr=0.153750, batch loss=0.223320, epoch loss=1.130651 Batch=419, step=11220, lr=0.153500, batch loss=0.228499, epoch loss=1.359150 Batch=479, step=11280, lr=0.153250, batch loss=0.201631, epoch loss=1.560781 Batch=539, step=11340, lr=0.153000, batch loss=0.159446, epoch loss=1.720226 Batch=599, step=11400, lr=0.152750, batch loss=0.183126, epoch loss=1.903352 Batch=659, step=11460, lr=0.152500, batch loss=0.260910, epoch loss=2.164262 Batch=719, step=11520, lr=0.152250, batch loss=0.256431, epoch loss=2.420693 Batch=779, step=11580, lr=0.152000, batch loss=0.268897, epoch loss=2.689589 Batch=839, step=11640, lr=0.151750, batch loss=0.255436, epoch loss=2.945026 Batch=899, step=11700, lr=0.151500, batch loss=0.215305, epoch loss=3.160331 Batch=959, step=11760, lr=0.151250, batch loss=0.172891, epoch loss=3.333222 Batch=1019, step=11820, lr=0.151000, batch loss=0.257727, epoch loss=3.590949 Batch=1079, step=11880, lr=0.150750, batch loss=0.139675, epoch loss=3.730624 Batch=1139, step=11940, lr=0.150500, batch loss=0.178986, epoch loss=3.909610 Batch=1199, step=12000, lr=0.150250, batch loss=0.138553, epoch loss=4.048163 Epoch=9, step=12000, lr=0.150250, epoch loss=4.048163 Batch=59, step=12060, lr=0.150000, batch loss=0.159962, epoch loss=0.159962 Batch=119, step=12120, lr=0.149750, batch loss=0.135911, epoch loss=0.295873 Batch=179, step=12180, lr=0.149500, batch loss=0.150006, epoch loss=0.445880 Batch=239, step=12240, lr=0.149250, batch loss=0.217792, epoch loss=0.663672 Batch=299, step=12300, lr=0.149000, batch loss=0.140411, epoch loss=0.804083 Batch=359, step=12360, lr=0.148750, batch loss=0.197512, epoch loss=1.001595 Batch=419, step=12420, lr=0.148500, batch loss=0.204447, epoch loss=1.206042 Batch=479, step=12480, lr=0.148250, batch loss=0.177415, epoch loss=1.383457 Batch=539, step=12540, lr=0.148000, batch loss=0.141127, epoch loss=1.524584 Batch=599, step=12600, lr=0.147750, batch loss=0.147509, epoch loss=1.672092 Batch=659, step=12660, lr=0.147500, batch loss=0.224938, epoch loss=1.897030 Batch=719, step=12720, lr=0.147250, batch loss=0.233561, epoch loss=2.130591 Batch=779, step=12780, lr=0.147000, batch loss=0.263197, epoch loss=2.393788 Batch=839, step=12840, lr=0.146750, batch loss=0.231946, epoch loss=2.625734 Batch=899, step=12900, lr=0.146500, batch loss=0.202327, epoch loss=2.828061 Batch=959, step=12960, lr=0.146250, batch loss=0.143807, epoch loss=2.971868 Batch=1019, step=13020, lr=0.146000, batch loss=0.242086, epoch loss=3.213954 Batch=1079, step=13080, lr=0.145750, batch loss=0.111415, epoch loss=3.325369 Batch=1139, step=13140, lr=0.145500, batch loss=0.148406, epoch loss=3.473775 Batch=1199, step=13200, lr=0.145250, batch loss=0.114691, epoch loss=3.588465 Epoch=10, step=13200, lr=0.145250, epoch loss=3.588465 Batch=59, step=13260, lr=0.145000, batch loss=0.135848, epoch loss=0.135848 Batch=119, step=13320, lr=0.144750, batch loss=0.122204, epoch loss=0.258052 Batch=179, step=13380, lr=0.144500, batch loss=0.125815, epoch loss=0.383867 Batch=239, step=13440, lr=0.144250, batch loss=0.185045, epoch loss=0.568912 Batch=299, step=13500, lr=0.144000, batch loss=0.113481, epoch loss=0.682393 Batch=359, step=13560, lr=0.143750, batch loss=0.157747, epoch loss=0.840140 Batch=419, step=13620, lr=0.143500, batch loss=0.158752, epoch loss=0.998892 Batch=479, step=13680, lr=0.143250, batch loss=0.143326, epoch loss=1.142218 Batch=539, step=13740, lr=0.143000, batch loss=0.116851, epoch loss=1.259069 Batch=599, step=13800, lr=0.142750, batch loss=0.117852, epoch loss=1.376921 Batch=659, step=13860, lr=0.142500, batch loss=0.171760, epoch loss=1.548681 Batch=719, step=13920, lr=0.142250, batch loss=0.172798, epoch loss=1.721479 Batch=779, step=13980, lr=0.142000, batch loss=0.193665, epoch loss=1.915145 Batch=839, step=14040, lr=0.141750, batch loss=0.186568, epoch loss=2.101713 Batch=899, step=14100, lr=0.141500, batch loss=0.175447, epoch loss=2.277160 Batch=959, step=14160, lr=0.141250, batch loss=0.143029, epoch loss=2.420190 Batch=1019, step=14220, lr=0.141000, batch loss=0.320426, epoch loss=2.740615 Batch=1079, step=14280, lr=0.140750, batch loss=0.070934, epoch loss=2.811550 Batch=1139, step=14340, lr=0.140500, batch loss=0.126544, epoch loss=2.938094 Batch=1199, step=14400, lr=0.140250, batch loss=0.093770, epoch loss=3.031864 Epoch=11, step=14400, lr=0.140250, epoch loss=3.031864 Batch=59, step=14460, lr=0.140000, batch loss=0.113028, epoch loss=0.113028 Batch=119, step=14520, lr=0.139750, batch loss=0.105639, epoch loss=0.218667 Batch=179, step=14580, lr=0.139500, batch loss=0.104844, epoch loss=0.323510 Batch=239, step=14640, lr=0.139000, batch loss=0.138180, epoch loss=0.461691 Batch=299, step=14700, lr=0.138750, batch loss=0.070932, epoch loss=0.532623 Batch=359, step=14760, lr=0.138750, batch loss=0.118290, epoch loss=0.650913 Batch=419, step=14820, lr=0.138500, batch loss=0.124877, epoch loss=0.775791 Batch=479, step=14880, lr=0.138250, batch loss=0.101459, epoch loss=0.877250 Batch=539, step=14940, lr=0.137750, batch loss=0.117129, epoch loss=0.994379 Batch=599, step=15000, lr=0.137750, batch loss=0.087652, epoch loss=1.082031 Batch=659, step=15060, lr=0.137500, batch loss=0.124138, epoch loss=1.206169 Batch=719, step=15120, lr=0.137250, batch loss=0.127460, epoch loss=1.333629 Batch=779, step=15180, lr=0.137000, batch loss=0.149045, epoch loss=1.482673 Batch=839, step=15240, lr=0.136750, batch loss=0.156915, epoch loss=1.639588 Batch=899, step=15300, lr=0.136500, batch loss=0.253568, epoch loss=1.893157 Batch=959, step=15360, lr=0.136250, batch loss=0.051342, epoch loss=1.944499 Batch=1019, step=15420, lr=0.136000, batch loss=0.122899, epoch loss=2.067398 Batch=1079, step=15480, lr=0.135750, batch loss=0.054903, epoch loss=2.122301 Batch=1139, step=15540, lr=0.135500, batch loss=0.103240, epoch loss=2.225540 Batch=1199, step=15600, lr=0.135250, batch loss=0.058150, epoch loss=2.283691 Epoch=12, step=15600, lr=0.135250, epoch loss=2.283691 Batch=59, step=15660, lr=0.135000, batch loss=0.087963, epoch loss=0.087963 Batch=119, step=15720, lr=0.134750, batch loss=0.142104, epoch loss=0.230067 Batch=179, step=15780, lr=0.134500, batch loss=0.101176, epoch loss=0.331243 Batch=239, step=15840, lr=0.134250, batch loss=0.097505, epoch loss=0.428748 Batch=299, step=15900, lr=0.134000, batch loss=0.052070, epoch loss=0.480818 Batch=359, step=15960, lr=0.133750, batch loss=0.094373, epoch loss=0.575191 Batch=419, step=16020, lr=0.133500, batch loss=0.074994, epoch loss=0.650185 Batch=479, step=16080, lr=0.133250, batch loss=0.048455, epoch loss=0.698640 Batch=539, step=16140, lr=0.133000, batch loss=0.064913, epoch loss=0.763553 Batch=599, step=16200, lr=0.132750, batch loss=0.158691, epoch loss=0.922245 Batch=659, step=16260, lr=0.132500, batch loss=0.092897, epoch loss=1.015141 Batch=719, step=16320, lr=0.132000, batch loss=0.115900, epoch loss=1.131041 Batch=779, step=16380, lr=0.132000, batch loss=0.261661, epoch loss=1.392703 Batch=839, step=16440, lr=0.131750, batch loss=0.088229, epoch loss=1.480932 Batch=899, step=16500, lr=0.131500, batch loss=0.073777, epoch loss=1.554708 Batch=959, step=16560, lr=0.131250, batch loss=0.032272, epoch loss=1.586980 Batch=1019, step=16620, lr=0.131000, batch loss=0.064395, epoch loss=1.651375 Batch=1079, step=16680, lr=0.130750, batch loss=0.045851, epoch loss=1.697226 Batch=1139, step=16740, lr=0.130500, batch loss=0.073751, epoch loss=1.770977 Batch=1199, step=16800, lr=0.130250, batch loss=0.033408, epoch loss=1.804386 Epoch=13, step=16800, lr=0.130250, epoch loss=1.804386 Batch=59, step=16860, lr=0.130000, batch loss=0.032370, epoch loss=0.032370 Batch=119, step=16920, lr=0.129750, batch loss=0.034697, epoch loss=0.067067 Batch=179, step=16980, lr=0.129500, batch loss=0.041011, epoch loss=0.108078 Batch=239, step=17040, lr=0.129250, batch loss=0.059244, epoch loss=0.167322 Batch=299, step=17100, lr=0.129000, batch loss=0.021621, epoch loss=0.188944 Batch=359, step=17160, lr=0.128750, batch loss=0.044572, epoch loss=0.233515 Batch=419, step=17220, lr=0.128500, batch loss=0.067318, epoch loss=0.300834 Batch=479, step=17280, lr=0.128250, batch loss=0.020953, epoch loss=0.321786 Batch=539, step=17340, lr=0.128000, batch loss=0.027147, epoch loss=0.348934 Batch=599, step=17400, lr=0.127750, batch loss=0.038668, epoch loss=0.387601 Batch=659, step=17460, lr=0.127500, batch loss=0.050242, epoch loss=0.437844 Batch=719, step=17520, lr=0.127250, batch loss=0.069035, epoch loss=0.506879 Batch=779, step=17580, lr=0.127000, batch loss=0.065300, epoch loss=0.572179 Batch=839, step=17640, lr=0.126750, batch loss=0.099542, epoch loss=0.671721 Batch=899, step=17700, lr=0.126500, batch loss=0.047601, epoch loss=0.719322 Batch=959, step=17760, lr=0.126250, batch loss=0.018173, epoch loss=0.737494 Batch=1019, step=17820, lr=0.126000, batch loss=0.051643, epoch loss=0.789137 Batch=1079, step=17880, lr=0.125750, batch loss=0.042987, epoch loss=0.832124 Batch=1139, step=17940, lr=0.125500, batch loss=0.069289, epoch loss=0.901413 Batch=1199, step=18000, lr=0.125250, batch loss=0.021577, epoch loss=0.922990 Epoch=14, step=18000, lr=0.125250, epoch loss=0.922990 Batch=59, step=18060, lr=0.124750, batch loss=0.015798, epoch loss=0.015798 Batch=119, step=18120, lr=0.124750, batch loss=0.019511, epoch loss=0.035309 Batch=179, step=18180, lr=0.124500, batch loss=0.028787, epoch loss=0.064096 Batch=239, step=18240, lr=0.124250, batch loss=0.036141, epoch loss=0.100237 Batch=299, step=18300, lr=0.124000, batch loss=0.013089, epoch loss=0.113326 Batch=359, step=18360, lr=0.123500, batch loss=0.022894, epoch loss=0.136219 Batch=419, step=18420, lr=0.123500, batch loss=0.026497, epoch loss=0.162717 Batch=479, step=18480, lr=0.123250, batch loss=0.021903, epoch loss=0.184620 Batch=539, step=18540, lr=0.123000, batch loss=0.042412, epoch loss=0.227032 Batch=599, step=18600, lr=0.122750, batch loss=0.025722, epoch loss=0.252754 Batch=659, step=18660, lr=0.122500, batch loss=0.031448, epoch loss=0.284203 Batch=719, step=18720, lr=0.122000, batch loss=0.044988, epoch loss=0.329191 Batch=779, step=18780, lr=0.122000, batch loss=0.117403, epoch loss=0.446594 Batch=839, step=18840, lr=0.121750, batch loss=0.055181, epoch loss=0.501774 Batch=899, step=18900, lr=0.121500, batch loss=0.057965, epoch loss=0.559740 Batch=959, step=18960, lr=0.121250, batch loss=0.013711, epoch loss=0.573451 Batch=1019, step=19020, lr=0.121000, batch loss=0.021748, epoch loss=0.595199 Batch=1079, step=19080, lr=0.120750, batch loss=0.009064, epoch loss=0.604263 Batch=1139, step=19140, lr=0.120500, batch loss=0.023146, epoch loss=0.627408 Batch=1199, step=19200, lr=0.120250, batch loss=0.008922, epoch loss=0.636331 Epoch=15, step=19200, lr=0.120250, epoch loss=0.636331 Batch=59, step=19260, lr=0.120000, batch loss=0.004108, epoch loss=0.004108 Batch=119, step=19320, lr=0.119750, batch loss=0.014478, epoch loss=0.018586 Batch=179, step=19380, lr=0.119500, batch loss=0.033483, epoch loss=0.052069 Batch=239, step=19440, lr=0.119250, batch loss=0.020096, epoch loss=0.072165 Batch=299, step=19500, lr=0.119000, batch loss=0.005069, epoch loss=0.077234 Batch=359, step=19560, lr=0.118750, batch loss=0.016885, epoch loss=0.094120 Batch=419, step=19620, lr=0.118500, batch loss=0.019733, epoch loss=0.113852 Batch=479, step=19680, lr=0.118250, batch loss=0.008669, epoch loss=0.122521 Batch=539, step=19740, lr=0.118000, batch loss=0.017373, epoch loss=0.139894 Batch=599, step=19800, lr=0.117750, batch loss=0.023226, epoch loss=0.163120 Batch=659, step=19860, lr=0.117500, batch loss=0.020298, epoch loss=0.183418 Batch=719, step=19920, lr=0.117250, batch loss=0.053681, epoch loss=0.237099 Batch=779, step=19980, lr=0.117000, batch loss=0.081863, epoch loss=0.318962 Batch=839, step=20040, lr=0.116750, batch loss=0.030410, epoch loss=0.349372 Batch=899, step=20100, lr=0.116500, batch loss=0.028344, epoch loss=0.377716 Batch=959, step=20160, lr=0.116250, batch loss=0.019678, epoch loss=0.397394 Batch=1019, step=20220, lr=0.116000, batch loss=0.025083, epoch loss=0.422477 Batch=1079, step=20280, lr=0.115750, batch loss=0.003151, epoch loss=0.425628 Batch=1139, step=20340, lr=0.115500, batch loss=0.014780, epoch loss=0.440408 Batch=1199, step=20400, lr=0.115250, batch loss=0.005968, epoch loss=0.446376 Epoch=16, step=20400, lr=0.115250, epoch loss=0.446376 Batch=59, step=20460, lr=0.115000, batch loss=0.002907, epoch loss=0.002907 Batch=119, step=20520, lr=0.114750, batch loss=0.009873, epoch loss=0.012779 Batch=179, step=20580, lr=0.114500, batch loss=0.025976, epoch loss=0.038756 Batch=239, step=20640, lr=0.114250, batch loss=0.013974, epoch loss=0.052730 Batch=299, step=20700, lr=0.114000, batch loss=0.002686, epoch loss=0.055416 Batch=359, step=20760, lr=0.113750, batch loss=0.012661, epoch loss=0.068077 Batch=419, step=20820, lr=0.113500, batch loss=0.016924, epoch loss=0.085000 Batch=479, step=20880, lr=0.113250, batch loss=0.005751, epoch loss=0.090751 Batch=539, step=20940, lr=0.113000, batch loss=0.015805, epoch loss=0.106556 Batch=599, step=21000, lr=0.112750, batch loss=0.018308, epoch loss=0.124864 Batch=659, step=21060, lr=0.112500, batch loss=0.014217, epoch loss=0.139081 Batch=719, step=21120, lr=0.112250, batch loss=0.043211, epoch loss=0.182292 Batch=779, step=21180, lr=0.112000, batch loss=0.070404, epoch loss=0.252696 Batch=839, step=21240, lr=0.111750, batch loss=0.025049, epoch loss=0.277745 Batch=899, step=21300, lr=0.111500, batch loss=0.028087, epoch loss=0.305832 Batch=959, step=21360, lr=0.111250, batch loss=0.009952, epoch loss=0.315784 Batch=1019, step=21420, lr=0.111000, batch loss=0.010478, epoch loss=0.326261 Batch=1079, step=21480, lr=0.110750, batch loss=0.001797, epoch loss=0.328058 Batch=1139, step=21540, lr=0.110500, batch loss=0.012573, epoch loss=0.340631 Batch=1199, step=21600, lr=0.110250, batch loss=0.005140, epoch loss=0.345771 Epoch=17, step=21600, lr=0.110250, epoch loss=0.345771 Batch=59, step=21660, lr=0.110000, batch loss=0.002412, epoch loss=0.002412 Batch=119, step=21720, lr=0.109750, batch loss=0.006477, epoch loss=0.008888 Batch=179, step=21780, lr=0.109500, batch loss=0.012110, epoch loss=0.020998 Batch=239, step=21840, lr=0.109250, batch loss=0.009814, epoch loss=0.030812 Batch=299, step=21900, lr=0.109000, batch loss=0.001661, epoch loss=0.032474 Batch=359, step=21960, lr=0.108750, batch loss=0.011844, epoch loss=0.044318 Batch=419, step=22020, lr=0.108500, batch loss=0.011733, epoch loss=0.056051 Batch=479, step=22080, lr=0.108250, batch loss=0.002740, epoch loss=0.058791 Batch=539, step=22140, lr=0.108000, batch loss=0.018016, epoch loss=0.076807 Batch=599, step=22200, lr=0.107750, batch loss=0.016932, epoch loss=0.093738 Batch=659, step=22260, lr=0.107500, batch loss=0.015985, epoch loss=0.109723 Batch=719, step=22320, lr=0.107250, batch loss=0.020927, epoch loss=0.130650 Batch=779, step=22380, lr=0.107000, batch loss=0.028520, epoch loss=0.159170 Batch=839, step=22440, lr=0.106750, batch loss=0.028561, epoch loss=0.187731 Batch=899, step=22500, lr=0.106500, batch loss=0.023991, epoch loss=0.211722 Batch=959, step=22560, lr=0.106250, batch loss=0.008820, epoch loss=0.220542 Batch=1019, step=22620, lr=0.106000, batch loss=0.007888, epoch loss=0.228429 Batch=1079, step=22680, lr=0.105750, batch loss=0.002083, epoch loss=0.230512 Batch=1139, step=22740, lr=0.105500, batch loss=0.010473, epoch loss=0.240985 Batch=1199, step=22800, lr=0.105250, batch loss=0.005057, epoch loss=0.246041 Epoch=18, step=22800, lr=0.105250, epoch loss=0.246041 Batch=59, step=22860, lr=0.105000, batch loss=0.002463, epoch loss=0.002463 Batch=119, step=22920, lr=0.104750, batch loss=0.004793, epoch loss=0.007256 Batch=179, step=22980, lr=0.104500, batch loss=0.012471, epoch loss=0.019727 Batch=239, step=23040, lr=0.104250, batch loss=0.008279, epoch loss=0.028006 Batch=299, step=23100, lr=0.104000, batch loss=0.009159, epoch loss=0.037165 Batch=359, step=23160, lr=0.103750, batch loss=0.011894, epoch loss=0.049059 Batch=419, step=23220, lr=0.103500, batch loss=0.010453, epoch loss=0.059513 Batch=479, step=23280, lr=0.103250, batch loss=0.003843, epoch loss=0.063355 Batch=539, step=23340, lr=0.103000, batch loss=0.015646, epoch loss=0.079001 Batch=599, step=23400, lr=0.102750, batch loss=0.013525, epoch loss=0.092526 Batch=659, step=23460, lr=0.102500, batch loss=0.010905, epoch loss=0.103431 Batch=719, step=23520, lr=0.102250, batch loss=0.011915, epoch loss=0.115346 Batch=779, step=23580, lr=0.102000, batch loss=0.023850, epoch loss=0.139195 Batch=839, step=23640, lr=0.101750, batch loss=0.025464, epoch loss=0.164659 Batch=899, step=23700, lr=0.101500, batch loss=0.022233, epoch loss=0.186892 Batch=959, step=23760, lr=0.101250, batch loss=0.008358, epoch loss=0.195250 Batch=1019, step=23820, lr=0.101000, batch loss=0.008332, epoch loss=0.203583 Batch=1079, step=23880, lr=0.100750, batch loss=0.000540, epoch loss=0.204123 Batch=1139, step=23940, lr=0.100500, batch loss=0.009149, epoch loss=0.213272 Batch=1199, step=24000, lr=0.100250, batch loss=0.004187, epoch loss=0.217460 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217460 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-10 12:28.30 ---> saved as "6792f6a2b3d0a10045cce3c2e783b90ec380702272735a94e5e72dc87ae48dec" Job succeeded 2025-04-10 12:28.37: Job succeeded