2025-05-10 12:25.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d36b4190f8f9185142030f887cf3e5946a90527d) (linux-arm64:debian-12-5.3_arm64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d36b4190 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3 # 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-10 12:25.54: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3-debian-12-5.3_arm64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc" 2025-05-10 12:25.54: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3) (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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-10 12:25.54: Waiting for resource in pool OCluster 2025-05-10 12:26.13: Waiting for worker… 2025-05-10 12:27.19: Got resource from pool OCluster Building on okypous.caelum.ci.dev All commits already cached HEAD is now at d36b4190 experiment (from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3' locally docker.io/ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3: Pulling from ocaml/opam b17c8e92fb87: Pulling fs layer b17c8e92fb87: Verifying Checksum b17c8e92fb87: Download complete b17c8e92fb87: Pull complete Digest: sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3 Status: Downloaded newer image for ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3 2025-05-10 12:27.20 ---> using "978b9672b52860448462f39ede8f8b4212c220fbb438fba1dfbc6def719b7210" 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")) 2025-05-10 12:27.20 ---> using "496cc35f114b05b801d3e9ee6474864c453fb63d6b47eb13a1549a1750ca635f" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-10 12:27.20 ---> using "7d05921eabd1fe38008746d72fe6393680f11c689b91eb2d7502bbd1bff3fb98" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-138-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-10 12:27.20 ---> using "9502e2c4f53b5580308524d5b4c73de1f298163f2699b8bac50471099eae33e6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:27.20 ---> using "981e6ce16a11cbfdb1466639b83481acca0dd8d5862dfa3fd7af24a690882e61" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..0d013e603b master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-10 12:27.41 ---> saved as "0311db991aa7f1e838b0202d4f94705b9849b5b9a3e85691611e64a6141397ac" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:27.41 ---> saved as "959fefc82d8d0472e442cc204a9ca76d8147761335e5e009b00cf7ebaf05356e" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-10 12:27.44 ---> saved as "559219e29930c487fa9763b1207a16fee8e4c777dd86ed001e37fb618220f24f" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:27.44 ---> saved as "917b06a5e1fc1c453c8dad6d6fdeab45f636185b54d2cf15b9b39770823630af" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main arm64 Packages [254 kB] - Fetched 357 kB in 0s (860 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev: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) ... 2025-05-10 12:27.57 ---> saved as "cf82943348d85680afa3b42c6f7d609952c0d4eaed58bb8fa6353146de92e8a2" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> installed cmdliner.1.3.0 -> 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_deriving.6.0.3 (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_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 ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed 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 ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed 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.v0.17.2 -> 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_globalize.v0.17.0 -> installed ppx_enumerate.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 printbox-md.0.12 -> installed ppx_sexp_conv.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-10 12:29.24 ---> saved as "7380ec48c267ef7dee5b4e49f89304bb38910580ebbc26403052402453ea6467" /src: (copy (src .) (dst /src)) 2025-05-10 12:29.24 ---> saved as "101c78da1450bd7eb2b339a309fe34c45223926c9c64e8f62a1f79da5ca02ba2" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2796cfb851937068353b0165b53c5b20/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/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/f2db9baee87804f7bce925c89e6c5ae5/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 Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 80)))) @!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=0.198250, batch loss=0.618569, epoch loss=39.020080 Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841548 Batch=539, step=540, lr=0.198000, batch loss=0.691338, epoch loss=40.532886 Batch=599, step=600, lr=0.197500, batch loss=1.063206, epoch loss=41.596092 Batch=659, step=660, lr=0.197250, batch loss=0.483290, epoch loss=42.079383 Batch=719, step=720, lr=0.197250, batch loss=0.411313, epoch loss=42.490695 Batch=779, step=780, lr=0.196750, batch loss=0.470202, epoch loss=42.960898 Batch=839, step=840, lr=0.196500, batch loss=0.446680, epoch loss=43.407577 Batch=899, step=900, lr=0.196250, batch loss=0.382807, epoch loss=43.790384 Batch=959, step=960, lr=0.196000, batch loss=0.245401, epoch loss=44.035785 Batch=1019, step=1020, lr=0.195750, batch loss=0.466199, epoch loss=44.501984 Batch=1079, step=1080, lr=0.195500, batch loss=0.249155, epoch loss=44.751138 Batch=1139, step=1140, lr=0.195250, batch loss=0.317228, epoch loss=45.068366 Batch=1199, step=1200, lr=0.195250, batch loss=0.263895, epoch loss=45.332260 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332260 Batch=59, step=1260, lr=0.194750, batch loss=0.262304, epoch loss=0.262304 Batch=119, step=1320, lr=0.194500, batch loss=0.205215, epoch loss=0.467519 Batch=179, step=1380, lr=0.194250, batch loss=0.243701, epoch loss=0.711219 Batch=239, step=1440, lr=0.194000, batch loss=0.347956, epoch loss=1.059175 Batch=299, step=1500, lr=0.194000, batch loss=0.247398, epoch loss=1.306573 Batch=359, step=1560, lr=0.193500, batch loss=0.316800, epoch loss=1.623373 Batch=419, step=1620, lr=0.193500, batch loss=0.312621, epoch loss=1.935994 Batch=479, step=1680, lr=0.193250, batch loss=0.276426, epoch loss=2.212420 Batch=539, step=1740, lr=0.193000, batch loss=0.209786, epoch loss=2.422206 Batch=599, step=1800, lr=0.192500, batch loss=0.250811, epoch loss=2.673017 Batch=659, step=1860, lr=0.192500, batch loss=0.366903, epoch loss=3.039920 Batch=719, step=1920, lr=0.192250, batch loss=0.355196, epoch loss=3.395116 Batch=779, step=1980, lr=0.192000, batch loss=0.381063, epoch loss=3.776178 Batch=839, step=2040, lr=0.191500, batch loss=0.339697, epoch loss=4.115875 Batch=899, step=2100, lr=0.191500, batch loss=0.295249, epoch loss=4.411124 Batch=959, step=2160, lr=0.191250, batch loss=0.214210, epoch loss=4.625334 Batch=1019, step=2220, lr=0.190750, batch loss=0.330329, epoch loss=4.955663 Batch=1079, step=2280, lr=0.190750, batch loss=0.208953, epoch loss=5.164616 Batch=1139, step=2340, lr=0.190250, batch loss=0.278048, epoch loss=5.442664 Batch=1199, step=2400, lr=0.190000, batch loss=0.220842, epoch loss=5.663506 Epoch=1, step=2400, lr=0.190000, epoch loss=5.663506 Batch=59, step=2460, lr=0.189750, batch loss=0.230500, epoch loss=0.230500 Batch=119, step=2520, lr=0.189500, batch loss=0.195841, epoch loss=0.426341 Batch=179, step=2580, lr=0.189500, batch loss=0.221092, epoch loss=0.647433 Batch=239, step=2640, lr=0.189000, batch loss=0.327999, epoch loss=0.975432 Batch=299, step=2700, lr=0.188750, batch loss=0.202959, epoch loss=1.178391 Batch=359, step=2760, lr=0.188500, batch loss=0.288219, epoch loss=1.466610 Batch=419, step=2820, lr=0.188250, batch loss=0.280122, epoch loss=1.746732 Batch=479, step=2880, lr=0.188250, batch loss=0.251456, epoch loss=1.998188 Batch=539, step=2940, lr=0.187750, batch loss=0.191272, epoch loss=2.189460 Batch=599, step=3000, lr=0.187500, batch loss=0.224397, epoch loss=2.413857 Batch=659, step=3060, lr=0.187500, batch loss=0.331004, epoch loss=2.744861 Batch=719, step=3120, lr=0.187250, batch loss=0.333542, epoch loss=3.078403 Batch=779, step=3180, lr=0.187000, batch loss=0.355016, epoch loss=3.433420 Batch=839, step=3240, lr=0.186750, batch loss=0.327661, epoch loss=3.761081 Batch=899, step=3300, lr=0.186500, batch loss=0.296588, epoch loss=4.057669 Batch=959, step=3360, lr=0.186250, batch loss=0.239886, epoch loss=4.297555 Batch=1019, step=3420, lr=0.186000, batch loss=0.352944, epoch loss=4.650499 Batch=1079, step=3480, lr=0.185750, batch loss=0.231890, epoch loss=4.882389 Batch=1139, step=3540, lr=0.185500, batch loss=0.263931, epoch loss=5.146320 Batch=1199, step=3600, lr=0.185250, batch loss=0.199460, epoch loss=5.345780 Epoch=2, step=3600, lr=0.185250, epoch loss=5.345780 Batch=59, step=3660, lr=0.185000, batch loss=0.221468, epoch loss=0.221468 Batch=119, step=3720, lr=0.184750, batch loss=0.184560, epoch loss=0.406028 Batch=179, step=3780, lr=0.184500, batch loss=0.210784, epoch loss=0.616812 Batch=239, step=3840, lr=0.184250, batch loss=0.315537, epoch loss=0.932349 Batch=299, step=3900, lr=0.184000, batch loss=0.202692, epoch loss=1.135041 Batch=359, step=3960, lr=0.183750, batch loss=0.281769, epoch loss=1.416810 Batch=419, step=4020, lr=0.183500, batch loss=0.271253, epoch loss=1.688063 Batch=479, step=4080, lr=0.183250, batch loss=0.245578, epoch loss=1.933641 Batch=539, step=4140, lr=0.183000, batch loss=0.193811, epoch loss=2.127452 Batch=599, step=4200, lr=0.182750, batch loss=0.234214, epoch loss=2.361665 Batch=659, step=4260, lr=0.182500, batch loss=0.333303, epoch loss=2.694969 Batch=719, step=4320, lr=0.182250, batch loss=0.341883, epoch loss=3.036851 Batch=779, step=4380, lr=0.182000, batch loss=0.350874, epoch loss=3.387726 Batch=839, step=4440, lr=0.181750, batch loss=0.315445, epoch loss=3.703171 Batch=899, step=4500, lr=0.181500, batch loss=0.280812, epoch loss=3.983984 Batch=959, step=4560, lr=0.181250, batch loss=0.217713, epoch loss=4.201696 Batch=1019, step=4620, lr=0.181000, batch loss=0.351089, epoch loss=4.552785 Batch=1079, step=4680, lr=0.180750, batch loss=0.211650, epoch loss=4.764435 Batch=1139, step=4740, lr=0.180500, batch loss=0.248672, epoch loss=5.013107 Batch=1199, step=4800, lr=0.180250, batch loss=0.190529, epoch loss=5.203636 Epoch=3, step=4800, lr=0.180250, epoch loss=5.203636 Batch=59, step=4860, lr=0.180000, batch loss=0.227123, epoch loss=0.227123 Batch=119, step=4920, lr=0.179750, batch loss=0.190241, epoch loss=0.417364 Batch=179, step=4980, lr=0.179500, batch loss=0.206749, epoch loss=0.624113 Batch=239, step=5040, lr=0.179250, batch loss=0.307663, epoch loss=0.931777 Batch=299, step=5100, lr=0.179000, batch loss=0.208710, epoch loss=1.140487 Batch=359, step=5160, lr=0.178750, batch loss=0.275661, epoch loss=1.416148 Batch=419, step=5220, lr=0.178500, batch loss=0.265273, epoch loss=1.681420 Batch=479, step=5280, lr=0.178250, batch loss=0.241447, epoch loss=1.922867 Batch=539, step=5340, lr=0.178000, batch loss=0.188537, epoch loss=2.111405 Batch=599, step=5400, lr=0.177750, batch loss=0.231796, epoch loss=2.343201 Batch=659, step=5460, lr=0.177500, batch loss=0.324209, epoch loss=2.667410 Batch=719, step=5520, lr=0.177250, batch loss=0.321261, epoch loss=2.988671 Batch=779, step=5580, lr=0.177000, batch loss=0.340938, epoch loss=3.329608 Batch=839, step=5640, lr=0.176750, batch loss=0.311883, epoch loss=3.641491 Batch=899, step=5700, lr=0.176500, batch loss=0.275795, epoch loss=3.917286 Batch=959, step=5760, lr=0.176250, batch loss=0.208327, epoch loss=4.125613 Batch=1019, step=5820, lr=0.176000, batch loss=0.339619, epoch loss=4.465232 Batch=1079, step=5880, lr=0.175750, batch loss=0.199778, epoch loss=4.665010 Batch=1139, step=5940, lr=0.175500, batch loss=0.243000, epoch loss=4.908010 Batch=1199, step=6000, lr=0.175250, batch loss=0.185084, epoch loss=5.093094 Epoch=4, step=6000, lr=0.175250, epoch loss=5.093094 Batch=59, step=6060, lr=0.175000, batch loss=0.226273, epoch loss=0.226273 Batch=119, step=6120, lr=0.174750, batch loss=0.184244, epoch loss=0.410517 Batch=179, step=6180, lr=0.174500, batch loss=0.202199, epoch loss=0.612716 Batch=239, step=6240, lr=0.174250, batch loss=0.302841, epoch loss=0.915557 Batch=299, step=6300, lr=0.174000, batch loss=0.204671, epoch loss=1.120228 Batch=359, step=6360, lr=0.173750, batch loss=0.265515, epoch loss=1.385743 Batch=419, step=6420, lr=0.173500, batch loss=0.258624, epoch loss=1.644367 Batch=479, step=6480, lr=0.173250, batch loss=0.235953, epoch loss=1.880320 Batch=539, step=6540, lr=0.173000, batch loss=0.188242, epoch loss=2.068562 Batch=599, step=6600, lr=0.172750, batch loss=0.224367, epoch loss=2.292929 Batch=659, step=6660, lr=0.172500, batch loss=0.316472, epoch loss=2.609401 Batch=719, step=6720, lr=0.172250, batch loss=0.315381, epoch loss=2.924782 Batch=779, step=6780, lr=0.172000, batch loss=0.333954, epoch loss=3.258736 Batch=839, step=6840, lr=0.171750, batch loss=0.304521, epoch loss=3.563257 Batch=899, step=6900, lr=0.171500, batch loss=0.266353, epoch loss=3.829610 Batch=959, step=6960, lr=0.171250, batch loss=0.210453, epoch loss=4.040064 Batch=1019, step=7020, lr=0.171000, batch loss=0.327171, epoch loss=4.367235 Batch=1079, step=7080, lr=0.170750, batch loss=0.174422, epoch loss=4.541656 Batch=1139, step=7140, lr=0.170500, batch loss=0.212888, epoch loss=4.754544 Batch=1199, step=7200, lr=0.170250, batch loss=0.191572, epoch loss=4.946116 Epoch=5, step=7200, lr=0.170250, epoch loss=4.946116 Batch=59, step=7260, lr=0.170000, batch loss=0.222631, epoch loss=0.222631 Batch=119, step=7320, lr=0.169750, batch loss=0.191832, epoch loss=0.414463 Batch=179, step=7380, lr=0.169500, batch loss=0.195075, epoch loss=0.609538 Batch=239, step=7440, lr=0.169250, batch loss=0.289923, epoch loss=0.899461 Batch=299, step=7500, lr=0.169000, batch loss=0.201379, epoch loss=1.100840 Batch=359, step=7560, lr=0.168750, batch loss=0.258729, epoch loss=1.359569 Batch=419, step=7620, lr=0.168500, batch loss=0.256427, epoch loss=1.615996 Batch=479, step=7680, lr=0.168250, batch loss=0.236509, epoch loss=1.852505 Batch=539, step=7740, lr=0.168000, batch loss=0.188052, epoch loss=2.040557 Batch=599, step=7800, lr=0.167750, batch loss=0.224569, epoch loss=2.265126 Batch=659, step=7860, lr=0.167500, batch loss=0.306077, epoch loss=2.571203 Batch=719, step=7920, lr=0.167250, batch loss=0.307649, epoch loss=2.878852 Batch=779, step=7980, lr=0.167000, batch loss=0.322182, epoch loss=3.201034 Batch=839, step=8040, lr=0.166750, batch loss=0.296281, epoch loss=3.497315 Batch=899, step=8100, lr=0.166500, batch loss=0.258714, epoch loss=3.756029 Batch=959, step=8160, lr=0.166250, batch loss=0.209347, epoch loss=3.965376 Batch=1019, step=8220, lr=0.166000, batch loss=0.318930, epoch loss=4.284306 Batch=1079, step=8280, lr=0.165750, batch loss=0.168272, epoch loss=4.452578 Batch=1139, step=8340, lr=0.165500, batch loss=0.207613, epoch loss=4.660191 Batch=1199, step=8400, lr=0.165250, batch loss=0.179675, epoch loss=4.839865 Epoch=6, step=8400, lr=0.165250, epoch loss=4.839865 Batch=59, step=8460, lr=0.165000, batch loss=0.225684, epoch loss=0.225684 Batch=119, step=8520, lr=0.164750, batch loss=0.177313, epoch loss=0.402997 Batch=179, step=8580, lr=0.164500, batch loss=0.187062, epoch loss=0.590059 Batch=239, step=8640, lr=0.164250, batch loss=0.276733, epoch loss=0.866792 Batch=299, step=8700, lr=0.164000, batch loss=0.191414, epoch loss=1.058205 Batch=359, step=8760, lr=0.163750, batch loss=0.249279, epoch loss=1.307485 Batch=419, step=8820, lr=0.163500, batch loss=0.244238, epoch loss=1.551722 Batch=479, step=8880, lr=0.163250, batch loss=0.229431, epoch loss=1.781154 Batch=539, step=8940, lr=0.163000, batch loss=0.178028, epoch loss=1.959182 Batch=599, step=9000, lr=0.162750, batch loss=0.219109, epoch loss=2.178291 Batch=659, step=9060, lr=0.162500, batch loss=0.292807, epoch loss=2.471098 Batch=719, step=9120, lr=0.162250, batch loss=0.294062, epoch loss=2.765160 Batch=779, step=9180, lr=0.162000, batch loss=0.314527, epoch loss=3.079687 Batch=839, step=9240, lr=0.161750, batch loss=0.286798, epoch loss=3.366485 Batch=899, step=9300, lr=0.161500, batch loss=0.250378, epoch loss=3.616862 Batch=959, step=9360, lr=0.161250, batch loss=0.191383, epoch loss=3.808245 Batch=1019, step=9420, lr=0.161000, batch loss=0.316317, epoch loss=4.124562 Batch=1079, step=9480, lr=0.160750, batch loss=0.203835, epoch loss=4.328397 Batch=1139, step=9540, lr=0.160250, batch loss=0.216875, epoch loss=4.545272 Batch=1199, step=9600, lr=0.160250, batch loss=0.165920, epoch loss=4.711192 Epoch=7, step=9600, lr=0.160250, epoch loss=4.711192 Batch=59, step=9660, lr=0.160000, batch loss=0.196361, epoch loss=0.196361 Batch=119, step=9720, lr=0.159750, batch loss=0.166160, epoch loss=0.362521 Batch=179, step=9780, lr=0.159500, batch loss=0.178713, epoch loss=0.541234 Batch=239, step=9840, lr=0.159250, batch loss=0.261919, epoch loss=0.803153 Batch=299, step=9900, lr=0.159000, batch loss=0.183660, epoch loss=0.986813 Batch=359, step=9960, lr=0.158750, batch loss=0.242019, epoch loss=1.228832 Batch=419, step=10020, lr=0.158500, batch loss=0.232939, epoch loss=1.461770 Batch=479, step=10080, lr=0.158250, batch loss=0.212850, epoch loss=1.674620 Batch=539, step=10140, lr=0.158000, batch loss=0.171537, epoch loss=1.846157 Batch=599, step=10200, lr=0.157750, batch loss=0.200644, epoch loss=2.046802 Batch=659, step=10260, lr=0.157500, batch loss=0.282352, epoch loss=2.329154 Batch=719, step=10320, lr=0.157250, batch loss=0.287086, epoch loss=2.616240 Batch=779, step=10380, lr=0.157000, batch loss=0.295703, epoch loss=2.911943 Batch=839, step=10440, lr=0.156750, batch loss=0.266431, epoch loss=3.178374 Batch=899, step=10500, lr=0.156500, batch loss=0.243078, epoch loss=3.421452 Batch=959, step=10560, lr=0.156000, batch loss=0.196360, epoch loss=3.617812 Batch=1019, step=10620, lr=0.156000, batch loss=0.283742, epoch loss=3.901553 Batch=1079, step=10680, lr=0.155750, batch loss=0.173058, epoch loss=4.074611 Batch=1139, step=10740, lr=0.155500, batch loss=0.196540, epoch loss=4.271151 Batch=1199, step=10800, lr=0.155250, batch loss=0.155330, epoch loss=4.426481 Epoch=8, step=10800, lr=0.155250, epoch loss=4.426481 Batch=59, step=10860, lr=0.155000, batch loss=0.185623, epoch loss=0.185623 Batch=119, step=10920, lr=0.154750, batch loss=0.152078, epoch loss=0.337701 Batch=179, step=10980, lr=0.154500, batch loss=0.166411, epoch loss=0.504112 Batch=239, step=11040, lr=0.154250, batch loss=0.246817, epoch loss=0.750929 Batch=299, step=11100, lr=0.154000, batch loss=0.158220, epoch loss=0.909148 Batch=359, step=11160, lr=0.153750, batch loss=0.212831, epoch loss=1.121980 Batch=419, step=11220, lr=0.153250, batch loss=0.205326, epoch loss=1.327305 Batch=479, step=11280, lr=0.153250, batch loss=0.181939, epoch loss=1.509244 Batch=539, step=11340, lr=0.153000, batch loss=0.145877, epoch loss=1.655120 Batch=599, step=11400, lr=0.152750, batch loss=0.176505, epoch loss=1.831626 Batch=659, step=11460, lr=0.152500, batch loss=0.244712, epoch loss=2.076338 Batch=719, step=11520, lr=0.152250, batch loss=0.249091, epoch loss=2.325428 Batch=779, step=11580, lr=0.152000, batch loss=0.272063, epoch loss=2.597492 Batch=839, step=11640, lr=0.151750, batch loss=0.257776, epoch loss=2.855267 Batch=899, step=11700, lr=0.151500, batch loss=0.238514, epoch loss=3.093781 Batch=959, step=11760, lr=0.151000, batch loss=0.167065, epoch loss=3.260846 Batch=1019, step=11820, lr=0.151000, batch loss=0.268635, epoch loss=3.529482 Batch=1079, step=11880, lr=0.150750, batch loss=0.146616, epoch loss=3.676098 Batch=1139, step=11940, lr=0.150500, batch loss=0.181841, epoch loss=3.857939 Batch=1199, step=12000, lr=0.150250, batch loss=0.139106, epoch loss=3.997045 Epoch=9, step=12000, lr=0.150250, epoch loss=3.997045 Batch=59, step=12060, lr=0.150000, batch loss=0.159440, epoch loss=0.159440 Batch=119, step=12120, lr=0.149750, batch loss=0.137540, epoch loss=0.296980 Batch=179, step=12180, lr=0.149500, batch loss=0.150751, epoch loss=0.447730 Batch=239, step=12240, lr=0.149250, batch loss=0.217935, epoch loss=0.665666 Batch=299, step=12300, lr=0.149000, batch loss=0.142688, epoch loss=0.808354 Batch=359, step=12360, lr=0.148750, batch loss=0.196587, epoch loss=1.004940 Batch=419, step=12420, lr=0.148500, batch loss=0.208017, epoch loss=1.212957 Batch=479, step=12480, lr=0.148250, batch loss=0.176659, epoch loss=1.389616 Batch=539, step=12540, lr=0.148000, batch loss=0.143132, epoch loss=1.532748 Batch=599, step=12600, lr=0.147750, batch loss=0.147111, epoch loss=1.679859 Batch=659, step=12660, lr=0.147250, batch loss=0.221694, epoch loss=1.901554 Batch=719, step=12720, lr=0.147250, batch loss=0.228721, epoch loss=2.130275 Batch=779, step=12780, lr=0.147000, batch loss=0.243438, epoch loss=2.373713 Batch=839, step=12840, lr=0.146750, batch loss=0.227273, epoch loss=2.600986 Batch=899, step=12900, lr=0.146500, batch loss=0.188631, epoch loss=2.789617 Batch=959, step=12960, lr=0.146250, batch loss=0.172906, epoch loss=2.962523 Batch=1019, step=13020, lr=0.146000, batch loss=0.316138, epoch loss=3.278662 Batch=1079, step=13080, lr=0.145750, batch loss=0.108352, epoch loss=3.387014 Batch=1139, step=13140, lr=0.145500, batch loss=0.150908, epoch loss=3.537922 Batch=1199, step=13200, lr=0.145250, batch loss=0.117110, epoch loss=3.655031 Epoch=10, step=13200, lr=0.145250, epoch loss=3.655031 Batch=59, step=13260, lr=0.145000, batch loss=0.144523, epoch loss=0.144523 Batch=119, step=13320, lr=0.144750, batch loss=0.123013, epoch loss=0.267536 Batch=179, step=13380, lr=0.144500, batch loss=0.130717, epoch loss=0.398253 Batch=239, step=13440, lr=0.144250, batch loss=0.192651, epoch loss=0.590904 Batch=299, step=13500, lr=0.144000, batch loss=0.115894, epoch loss=0.706798 Batch=359, step=13560, lr=0.143750, batch loss=0.158305, epoch loss=0.865104 Batch=419, step=13620, lr=0.143500, batch loss=0.156463, epoch loss=1.021567 Batch=479, step=13680, lr=0.143250, batch loss=0.148950, epoch loss=1.170517 Batch=539, step=13740, lr=0.143000, batch loss=0.116696, epoch loss=1.287212 Batch=599, step=13800, lr=0.142750, batch loss=0.119677, epoch loss=1.406890 Batch=659, step=13860, lr=0.142500, batch loss=0.176609, epoch loss=1.583499 Batch=719, step=13920, lr=0.142250, batch loss=0.172285, epoch loss=1.755784 Batch=779, step=13980, lr=0.142000, batch loss=0.186698, epoch loss=1.942482 Batch=839, step=14040, lr=0.141750, batch loss=0.192145, epoch loss=2.134626 Batch=899, step=14100, lr=0.141500, batch loss=0.211547, epoch loss=2.346174 Batch=959, step=14160, lr=0.141000, batch loss=0.108544, epoch loss=2.454718 Batch=1019, step=14220, lr=0.141000, batch loss=0.188199, epoch loss=2.642917 Batch=1079, step=14280, lr=0.140750, batch loss=0.084336, epoch loss=2.727254 Batch=1139, step=14340, lr=0.140250, batch loss=0.147229, epoch loss=2.874483 Batch=1199, step=14400, lr=0.140000, batch loss=0.085980, epoch loss=2.960463 Epoch=11, step=14400, lr=0.140000, epoch loss=2.960463 Batch=59, step=14460, lr=0.139750, batch loss=0.111131, epoch loss=0.111131 Batch=119, step=14520, lr=0.139500, batch loss=0.107547, epoch loss=0.218678 Batch=179, step=14580, lr=0.139500, batch loss=0.104195, epoch loss=0.322873 Batch=239, step=14640, lr=0.139000, batch loss=0.136599, epoch loss=0.459472 Batch=299, step=14700, lr=0.139000, batch loss=0.079591, epoch loss=0.539063 Batch=359, step=14760, lr=0.138500, batch loss=0.130162, epoch loss=0.669224 Batch=419, step=14820, lr=0.138500, batch loss=0.157939, epoch loss=0.827163 Batch=479, step=14880, lr=0.138000, batch loss=0.084323, epoch loss=0.911486 Batch=539, step=14940, lr=0.138000, batch loss=0.067649, epoch loss=0.979135 Batch=599, step=15000, lr=0.137500, batch loss=0.099014, epoch loss=1.078149 Batch=659, step=15060, lr=0.137250, batch loss=0.191717, epoch loss=1.269867 Batch=719, step=15120, lr=0.137250, batch loss=0.120238, epoch loss=1.390105 Batch=779, step=15180, lr=0.136750, batch loss=0.131691, epoch loss=1.521796 Batch=839, step=15240, lr=0.136500, batch loss=0.167322, epoch loss=1.689118 Batch=899, step=15300, lr=0.136500, batch loss=0.283012, epoch loss=1.972130 Batch=959, step=15360, lr=0.136000, batch loss=0.063638, epoch loss=2.035768 Batch=1019, step=15420, lr=0.135750, batch loss=0.130231, epoch loss=2.165998 Batch=1079, step=15480, lr=0.135500, batch loss=0.047899, epoch loss=2.213897 Batch=1139, step=15540, lr=0.135500, batch loss=0.104523, epoch loss=2.318420 Batch=1199, step=15600, lr=0.135000, batch loss=0.061524, epoch loss=2.379944 Epoch=12, step=15600, lr=0.135000, epoch loss=2.379944 Batch=59, step=15660, lr=0.135000, batch loss=0.075309, epoch loss=0.075309 Batch=119, step=15720, lr=0.134750, batch loss=0.103282, epoch loss=0.178591 Batch=179, step=15780, lr=0.134500, batch loss=0.087712, epoch loss=0.266303 Batch=239, step=15840, lr=0.134250, batch loss=0.092449, epoch loss=0.358752 Batch=299, step=15900, lr=0.134000, batch loss=0.038649, epoch loss=0.397401 Batch=359, step=15960, lr=0.133750, batch loss=0.076434, epoch loss=0.473835 Batch=419, step=16020, lr=0.133500, batch loss=0.075579, epoch loss=0.549414 Batch=479, step=16080, lr=0.133000, batch loss=0.050927, epoch loss=0.600341 Batch=539, step=16140, lr=0.133000, batch loss=0.080968, epoch loss=0.681309 Batch=599, step=16200, lr=0.132750, batch loss=0.172579, epoch loss=0.853887 Batch=659, step=16260, lr=0.132500, batch loss=0.094205, epoch loss=0.948092 Batch=719, step=16320, lr=0.132250, batch loss=0.116509, epoch loss=1.064601 Batch=779, step=16380, lr=0.132000, batch loss=0.267730, epoch loss=1.332332 Batch=839, step=16440, lr=0.131750, batch loss=0.088676, epoch loss=1.421008 Batch=899, step=16500, lr=0.131500, batch loss=0.073916, epoch loss=1.494924 Batch=959, step=16560, lr=0.131250, batch loss=0.030654, epoch loss=1.525578 Batch=1019, step=16620, lr=0.131000, batch loss=0.072773, epoch loss=1.598351 Batch=1079, step=16680, lr=0.130750, batch loss=0.042683, epoch loss=1.641034 Batch=1139, step=16740, lr=0.130500, batch loss=0.076804, epoch loss=1.717838 Batch=1199, step=16800, lr=0.130250, batch loss=0.036121, epoch loss=1.753960 Epoch=13, step=16800, lr=0.130250, epoch loss=1.753960 Batch=59, step=16860, lr=0.130000, batch loss=0.032540, epoch loss=0.032540 Batch=119, step=16920, lr=0.129750, batch loss=0.035765, epoch loss=0.068305 Batch=179, step=16980, lr=0.129500, batch loss=0.041736, epoch loss=0.110041 Batch=239, step=17040, lr=0.129250, batch loss=0.054410, epoch loss=0.164451 Batch=299, step=17100, lr=0.129000, batch loss=0.018822, epoch loss=0.183274 Batch=359, step=17160, lr=0.128750, batch loss=0.042573, epoch loss=0.225847 Batch=419, step=17220, lr=0.128500, batch loss=0.044277, epoch loss=0.270123 Batch=479, step=17280, lr=0.128250, batch loss=0.021351, epoch loss=0.291474 Batch=539, step=17340, lr=0.128000, batch loss=0.027690, epoch loss=0.319164 Batch=599, step=17400, lr=0.127750, batch loss=0.040335, epoch loss=0.359499 Batch=659, step=17460, lr=0.127500, batch loss=0.052187, epoch loss=0.411687 Batch=719, step=17520, lr=0.127250, batch loss=0.069296, epoch loss=0.480983 Batch=779, step=17580, lr=0.127000, batch loss=0.067833, epoch loss=0.548815 Batch=839, step=17640, lr=0.126750, batch loss=0.114388, epoch loss=0.663203 Batch=899, step=17700, lr=0.126500, batch loss=0.055598, epoch loss=0.718801 Batch=959, step=17760, lr=0.126250, batch loss=0.017717, epoch loss=0.736518 Batch=1019, step=17820, lr=0.126000, batch loss=0.026964, epoch loss=0.763482 Batch=1079, step=17880, lr=0.125750, batch loss=0.023077, epoch loss=0.786559 Batch=1139, step=17940, lr=0.125500, batch loss=0.057386, epoch loss=0.843944 Batch=1199, step=18000, lr=0.125250, batch loss=0.020002, epoch loss=0.863947 Epoch=14, step=18000, lr=0.125250, epoch loss=0.863947 Batch=59, step=18060, lr=0.125000, batch loss=0.011792, epoch loss=0.011792 Batch=119, step=18120, lr=0.124750, batch loss=0.017778, epoch loss=0.029570 Batch=179, step=18180, lr=0.124500, batch loss=0.028148, epoch loss=0.057717 Batch=239, step=18240, lr=0.124250, batch loss=0.034651, epoch loss=0.092368 Batch=299, step=18300, lr=0.124000, batch loss=0.015700, epoch loss=0.108069 Batch=359, step=18360, lr=0.123750, batch loss=0.022104, epoch loss=0.130172 Batch=419, step=18420, lr=0.123500, batch loss=0.025414, epoch loss=0.155586 Batch=479, step=18480, lr=0.123250, batch loss=0.017640, epoch loss=0.173226 Batch=539, step=18540, lr=0.123000, batch loss=0.040106, epoch loss=0.213332 Batch=599, step=18600, lr=0.122750, batch loss=0.026073, epoch loss=0.239405 Batch=659, step=18660, lr=0.122500, batch loss=0.032324, epoch loss=0.271729 Batch=719, step=18720, lr=0.122250, batch loss=0.023172, epoch loss=0.294901 Batch=779, step=18780, lr=0.122000, batch loss=0.042168, epoch loss=0.337069 Batch=839, step=18840, lr=0.121750, batch loss=0.070999, epoch loss=0.408068 Batch=899, step=18900, lr=0.121500, batch loss=0.036106, epoch loss=0.444174 Batch=959, step=18960, lr=0.121250, batch loss=0.012842, epoch loss=0.457017 Batch=1019, step=19020, lr=0.121000, batch loss=0.024998, epoch loss=0.482015 Batch=1079, step=19080, lr=0.120750, batch loss=0.014560, epoch loss=0.496575 Batch=1139, step=19140, lr=0.120500, batch loss=0.028239, epoch loss=0.524814 Batch=1199, step=19200, lr=0.120250, batch loss=0.011817, epoch loss=0.536631 Epoch=15, step=19200, lr=0.120250, epoch loss=0.536631 Batch=59, step=19260, lr=0.120000, batch loss=0.009998, epoch loss=0.009998 Batch=119, step=19320, lr=0.119750, batch loss=0.028932, epoch loss=0.038930 Batch=179, step=19380, lr=0.119500, batch loss=0.079068, epoch loss=0.117998 Batch=239, step=19440, lr=0.119250, batch loss=0.033217, epoch loss=0.151215 Batch=299, step=19500, lr=0.119000, batch loss=0.011926, epoch loss=0.163141 Batch=359, step=19560, lr=0.118750, batch loss=0.023633, epoch loss=0.186774 Batch=419, step=19620, lr=0.118500, batch loss=0.019541, epoch loss=0.206315 Batch=479, step=19680, lr=0.118250, batch loss=0.005664, epoch loss=0.211979 Batch=539, step=19740, lr=0.118000, batch loss=0.027649, epoch loss=0.239629 Batch=599, step=19800, lr=0.117750, batch loss=0.027470, epoch loss=0.267099 Batch=659, step=19860, lr=0.117500, batch loss=0.016054, epoch loss=0.283152 Batch=719, step=19920, lr=0.117250, batch loss=0.035306, epoch loss=0.318458 Batch=779, step=19980, lr=0.117000, batch loss=0.074673, epoch loss=0.393131 Batch=839, step=20040, lr=0.116750, batch loss=0.032445, epoch loss=0.425576 Batch=899, step=20100, lr=0.116500, batch loss=0.028796, epoch loss=0.454372 Batch=959, step=20160, lr=0.116250, batch loss=0.013694, epoch loss=0.468066 Batch=1019, step=20220, lr=0.116000, batch loss=0.025092, epoch loss=0.493158 Batch=1079, step=20280, lr=0.115750, batch loss=0.003927, epoch loss=0.497085 Batch=1139, step=20340, lr=0.115500, batch loss=0.015129, epoch loss=0.512214 Batch=1199, step=20400, lr=0.115250, batch loss=0.006056, epoch loss=0.518270 Epoch=16, step=20400, lr=0.115250, epoch loss=0.518270 Batch=59, step=20460, lr=0.115000, batch loss=0.003697, epoch loss=0.003697 Batch=119, step=20520, lr=0.114750, batch loss=0.008200, epoch loss=0.011897 Batch=179, step=20580, lr=0.114500, batch loss=0.015558, epoch loss=0.027455 Batch=239, step=20640, lr=0.114250, batch loss=0.013194, epoch loss=0.040649 Batch=299, step=20700, lr=0.114000, batch loss=0.003183, epoch loss=0.043833 Batch=359, step=20760, lr=0.113750, batch loss=0.014818, epoch loss=0.058651 Batch=419, step=20820, lr=0.113500, batch loss=0.015078, epoch loss=0.073729 Batch=479, step=20880, lr=0.113250, batch loss=0.006330, epoch loss=0.080059 Batch=539, step=20940, lr=0.113000, batch loss=0.016559, epoch loss=0.096618 Batch=599, step=21000, lr=0.112750, batch loss=0.018168, epoch loss=0.114786 Batch=659, step=21060, lr=0.112500, batch loss=0.015476, epoch loss=0.130262 Batch=719, step=21120, lr=0.112250, batch loss=0.041039, epoch loss=0.171302 Batch=779, step=21180, lr=0.112000, batch loss=0.074190, epoch loss=0.245492 Batch=839, step=21240, lr=0.111750, batch loss=0.025798, epoch loss=0.271290 Batch=899, step=21300, lr=0.111500, batch loss=0.035782, epoch loss=0.307072 Batch=959, step=21360, lr=0.111250, batch loss=0.010062, epoch loss=0.317133 Batch=1019, step=21420, lr=0.111000, batch loss=0.010897, epoch loss=0.328030 Batch=1079, step=21480, lr=0.110750, batch loss=0.001137, epoch loss=0.329167 Batch=1139, step=21540, lr=0.110500, batch loss=0.012911, epoch loss=0.342078 Batch=1199, step=21600, lr=0.110250, batch loss=0.005134, epoch loss=0.347212 Epoch=17, step=21600, lr=0.110250, epoch loss=0.347212 Batch=59, step=21660, lr=0.110000, batch loss=0.002272, epoch loss=0.002272 Batch=119, step=21720, lr=0.109750, batch loss=0.006603, epoch loss=0.008875 Batch=179, step=21780, lr=0.109500, batch loss=0.013315, epoch loss=0.022190 Batch=239, step=21840, lr=0.109250, batch loss=0.016093, epoch loss=0.038283 Batch=299, step=21900, lr=0.109000, batch loss=0.003384, epoch loss=0.041667 Batch=359, step=21960, lr=0.108750, batch loss=0.010510, epoch loss=0.052177 Batch=419, step=22020, lr=0.108500, batch loss=0.011115, epoch loss=0.063291 Batch=479, step=22080, lr=0.108250, batch loss=0.002814, epoch loss=0.066106 Batch=539, step=22140, lr=0.108000, batch loss=0.019808, epoch loss=0.085914 Batch=599, step=22200, lr=0.107750, batch loss=0.016086, epoch loss=0.102000 Batch=659, step=22260, lr=0.107500, batch loss=0.015903, epoch loss=0.117903 Batch=719, step=22320, lr=0.107250, batch loss=0.025914, epoch loss=0.143817 Batch=779, step=22380, lr=0.107000, batch loss=0.036625, epoch loss=0.180443 Batch=839, step=22440, lr=0.106750, batch loss=0.025570, epoch loss=0.206012 Batch=899, step=22500, lr=0.106500, batch loss=0.027649, epoch loss=0.233661 Batch=959, step=22560, lr=0.106250, batch loss=0.008945, epoch loss=0.242606 Batch=1019, step=22620, lr=0.106000, batch loss=0.010008, epoch loss=0.252614 Batch=1079, step=22680, lr=0.105750, batch loss=0.000926, epoch loss=0.253540 Batch=1139, step=22740, lr=0.105500, batch loss=0.010211, epoch loss=0.263751 Batch=1199, step=22800, lr=0.105250, batch loss=0.004533, epoch loss=0.268284 Epoch=18, step=22800, lr=0.105250, epoch loss=0.268284 Batch=59, step=22860, lr=0.105000, batch loss=0.001573, epoch loss=0.001573 Batch=119, step=22920, lr=0.104750, batch loss=0.005594, epoch loss=0.007167 Batch=179, step=22980, lr=0.104500, batch loss=0.011278, epoch loss=0.018445 Batch=239, step=23040, lr=0.104250, batch loss=0.009339, epoch loss=0.027784 Batch=299, step=23100, lr=0.104000, batch loss=0.008642, epoch loss=0.036426 Batch=359, step=23160, lr=0.103750, batch loss=0.011378, epoch loss=0.047804 Batch=419, step=23220, lr=0.103500, batch loss=0.010264, epoch loss=0.058068 Batch=479, step=23280, lr=0.103250, batch loss=0.002433, epoch loss=0.060501 Batch=539, step=23340, lr=0.103000, batch loss=0.017669, epoch loss=0.078170 Batch=599, step=23400, lr=0.102750, batch loss=0.013543, epoch loss=0.091712 Batch=659, step=23460, lr=0.102500, batch loss=0.011734, epoch loss=0.103446 Batch=719, step=23520, lr=0.102250, batch loss=0.009863, epoch loss=0.113309 Batch=779, step=23580, lr=0.102000, batch loss=0.011340, epoch loss=0.124649 Batch=839, step=23640, lr=0.101750, batch loss=0.018943, epoch loss=0.143592 Batch=899, step=23700, lr=0.101500, batch loss=0.022736, epoch loss=0.166328 Batch=959, step=23760, lr=0.101250, batch loss=0.007976, epoch loss=0.174304 Batch=1019, step=23820, lr=0.101000, batch loss=0.008031, epoch loss=0.182335 Batch=1079, step=23880, lr=0.100750, batch loss=0.000471, epoch loss=0.182806 Batch=1139, step=23940, lr=0.100500, batch loss=0.009174, epoch loss=0.191980 Batch=1199, step=24000, lr=0.100250, batch loss=0.003881, epoch loss=0.195861 Epoch=19, step=24000, lr=0.100250, epoch loss=0.195861 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#*********************************......│ │*******##*##**##**********...........***************########*##*****************************........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####*************************.....%.%.%.│ │***#########**********.........%%%.%%......*************#*#######***********************.....%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########******************.........%%%%%%.│ │*#######************...........%%%%%%%..........************#######****************..........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######***********............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###********..............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................********.................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:29.46 ---> saved as "35b677869a5d777fd63fab36983fb26d288648b62b6e80af0cb90a792aeeb73a" Job succeeded 2025-05-10 12:29.46: Job succeeded