2025-05-10 12:44.17: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (23c9ad3f1bd3375dd27d32b631a0eaaff8ffceb2) (linux-x86_64:(lower-bound)) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 23c9ad3f cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 # debian-12-5.2_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 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && 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.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 12:44.17: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-91d8fc90b89fc825294c5e3d186d1a48" 2025-05-10 12:44.17: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1) (comment debian-12-5.2_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 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && 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.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 12:44.17: Waiting for resource in pool OCluster 2025-05-10 12:44.17: Waiting for worker… 2025-05-10 12:44.42: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 95dddcae Don't fail if ocannl_config not found HEAD is now at 23c9ad3f experiment (from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1) Unable to find image 'ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1' locally docker.io/ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1: Pulling from ocaml/opam 9cdcd98c6ce0: Pulling fs layer 9cdcd98c6ce0: Download complete 9cdcd98c6ce0: Pull complete Digest: sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 Status: Downloaded newer image for ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 2025-05-10 12:44.44 ---> using "1e66ecc7d7e61d810d21a4f5e44a79cf3d0085d03dd619e291339b82babc9396" from cache /: (comment debian-12-5.2_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 12:44.44 ---> using "dc0b666cc75679ae6a49153c6cbce93c4a467ab554efc4453ae4710a80807e28" 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. Continue? [y/n] y 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. [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-10 12:44.44 ---> using "dd0dd0c6c175495539e514d9b8eb3a5c8c54df3004aef3012bd9510a35431074" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-05-10 12:44.44 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:44.44 ---> using "adad71f7be3674bb64006589356cef212f5b208a9e2ccf9dafdea469a7383c30" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && git log --no-decorate -n1 --oneline && opam update -u")) 1b767795a4 Merge pull request #27704 from maiste/release-dune-3.18.0 <><> 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 12:44.44 ---> using "92336e4f63f61fa8bc3fb1f9da35d25adc61b5d4a45b6fb6299f8c3b9a89b097" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:44.44 ---> using "ccbb2c94c8763a1d8e005e2c6410635088a917741b4dea9897bf5ed87fa72a48" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-10 12:44.44 ---> using "fe8bc6f2ad8d88ba4c4dde14270172bc2f079948eab6fd9661ee307a9763fbaf" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:44.44 ---> using "cb93213b4dd3d0d6ec98090e0d12b7811c79d2a579277ff2c04a86c7cf5f26db" from cache /src: (env DEPS "angstrom.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 amd64 Packages [258 kB] - Fetched 361 kB in 1s (412 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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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:amd64. - (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 ... 18778 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-05-10 12:44.44 ---> using "4bd86a8fc39d15b938928ee3aedc834c3e5525ed84a6821f5b2f5eade9fac4a6" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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 0.15.0 - install astring 0.8.5 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install camlp-streams 5.0 - install cmdliner 1.1.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install csexp 1.3.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install fmt 0.9.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.7.0 - install mdx 2.5.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 2.4.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - 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 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - 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 0.32.1 - install ppxlib_jane v0.17.0 - 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 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.0 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.15.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> retrieved camlp-streams.5.0 (cached) -> installed conf-pkg-config.1.0 -> installed conf-libffi.2.0.0 -> retrieved csexp.1.3.2 (cached) -> retrieved cppo.1.6.7 (cached) -> retrieved cmdliner.1.1.0 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.9.0 (cached) -> retrieved integers.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.7.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved dune.3.18.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.2.4.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ocamlbuild.0.14.3 (cached) -> retrieved ocamlfind.1.9.6 (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.5.2 (cached) -> retrieved ppx_expect.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_minidebug.2.2.0 (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.v0.17.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed cmdliner.1.1.0 -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed fmt.0.9.0 -> installed ptime.0.8.6 -> installed astring.0.8.5 -> installed logs.0.7.0 -> installed dune.3.18.0 -> installed bigstringaf.0.5.0 -> installed backoff.0.1.0 -> installed camlp-streams.5.0 -> installed bigarray-compat.1.1.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed stdlib-shims.0.1.0 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed multicore-magic.2.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-version.2.4.0 -> installed csexp.1.3.2 -> installed sexplib0.v0.17.0 -> installed integers.0.6.0 -> installed cppo.1.6.7 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.2.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.9.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.32.1 -> installed uucp.13.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed printbox-ext-plot.0.12 -> 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.5.2 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-10 12:44.44 ---> using "41cecdf5a1d96202c9e4aab36958a151f0c7d4077f1c18c79c52c4535d76a0a7" from cache /src: (copy (src .) (dst /src)) 2025-05-10 12:44.45 ---> saved as "90fdb63456c98bb4a665b74f02eb71d64b67af920d24da07fee54074b78a6e96" /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/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06cbc034abb7fa2baca3df87e54b14f5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/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 72)))) @!Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.446818, epoch loss=37.063303 Batch=359, step=360, lr=0.198750, batch loss=1.336884, epoch loss=38.400187 Batch=419, step=420, lr=0.198250, batch loss=0.614503, epoch loss=39.014690 Batch=479, step=480, lr=0.198000, batch loss=0.794061, epoch loss=39.808751 Batch=539, step=540, lr=0.198000, batch loss=0.653285, epoch loss=40.462036 Batch=599, step=600, lr=0.197750, batch loss=1.083641, epoch loss=41.545677 Batch=659, step=660, lr=0.197500, batch loss=0.482771, epoch loss=42.028448 Batch=719, step=720, lr=0.197250, batch loss=0.412398, epoch loss=42.440846 Batch=779, step=780, lr=0.197000, batch loss=0.470751, epoch loss=42.911597 Batch=839, step=840, lr=0.196750, batch loss=0.445115, epoch loss=43.356712 Batch=899, step=900, lr=0.196250, batch loss=0.386198, epoch loss=43.742910 Batch=959, step=960, lr=0.196000, batch loss=0.250715, epoch loss=43.993626 Batch=1019, step=1020, lr=0.195750, batch loss=0.472055, epoch loss=44.465680 Batch=1079, step=1080, lr=0.195500, batch loss=0.246555, epoch loss=44.712235 Batch=1139, step=1140, lr=0.195250, batch loss=0.319593, epoch loss=45.031828 Batch=1199, step=1200, lr=0.195000, batch loss=0.265593, epoch loss=45.297421 Epoch=0, step=1200, lr=0.195000, epoch loss=45.297421 Batch=59, step=1260, lr=0.194750, batch loss=0.264110, epoch loss=0.264110 Batch=119, step=1320, lr=0.194750, batch loss=0.206449, epoch loss=0.470559 Batch=179, step=1380, lr=0.194250, batch loss=0.247162, epoch loss=0.717721 Batch=239, step=1440, lr=0.194000, batch loss=0.354024, epoch loss=1.071745 Batch=299, step=1500, lr=0.193750, batch loss=0.237545, epoch loss=1.309289 Batch=359, step=1560, lr=0.193500, batch loss=0.315094, epoch loss=1.624383 Batch=419, step=1620, lr=0.193250, batch loss=0.309441, epoch loss=1.933824 Batch=479, step=1680, lr=0.193000, batch loss=0.274523, epoch loss=2.208346 Batch=539, step=1740, lr=0.192750, batch loss=0.211118, epoch loss=2.419465 Batch=599, step=1800, lr=0.192750, batch loss=0.261431, epoch loss=2.680896 Batch=659, step=1860, lr=0.192250, batch loss=0.377814, epoch loss=3.058710 Batch=719, step=1920, lr=0.192000, batch loss=0.361608, epoch loss=3.420318 Batch=779, step=1980, lr=0.191750, batch loss=0.388570, epoch loss=3.808889 Batch=839, step=2040, lr=0.191500, batch loss=0.349404, epoch loss=4.158292 Batch=899, step=2100, lr=0.191250, batch loss=0.319663, epoch loss=4.477955 Batch=959, step=2160, lr=0.191250, batch loss=0.237292, epoch loss=4.715247 Batch=1019, step=2220, lr=0.191000, batch loss=0.313650, epoch loss=5.028898 Batch=1079, step=2280, lr=0.190500, batch loss=0.177341, epoch loss=5.206239 Batch=1139, step=2340, lr=0.190250, batch loss=0.241082, epoch loss=5.447321 Batch=1199, step=2400, lr=0.190250, batch loss=0.211053, epoch loss=5.658374 Epoch=1, step=2400, lr=0.190250, epoch loss=5.658374 Batch=59, step=2460, lr=0.189750, batch loss=0.242639, epoch loss=0.242639 Batch=119, step=2520, lr=0.189750, batch loss=0.212899, epoch loss=0.455538 Batch=179, step=2580, lr=0.189250, batch loss=0.221255, epoch loss=0.676792 Batch=239, step=2640, lr=0.189000, batch loss=0.327588, epoch loss=1.004380 Batch=299, step=2700, lr=0.189000, batch loss=0.207299, epoch loss=1.211680 Batch=359, step=2760, lr=0.188750, batch loss=0.290720, epoch loss=1.502400 Batch=419, step=2820, lr=0.188250, batch loss=0.282314, epoch loss=1.784714 Batch=479, step=2880, lr=0.188250, batch loss=0.259184, epoch loss=2.043899 Batch=539, step=2940, lr=0.188000, batch loss=0.198383, epoch loss=2.242282 Batch=599, step=3000, lr=0.187750, batch loss=0.243334, epoch loss=2.485616 Batch=659, step=3060, lr=0.187250, batch loss=0.349995, epoch loss=2.835611 Batch=719, step=3120, lr=0.187250, batch loss=0.348939, epoch loss=3.184550 Batch=779, step=3180, lr=0.187000, batch loss=0.363434, epoch loss=3.547985 Batch=839, step=3240, lr=0.186500, batch loss=0.326071, epoch loss=3.874056 Batch=899, step=3300, lr=0.186250, batch loss=0.295822, epoch loss=4.169878 Batch=959, step=3360, lr=0.186000, batch loss=0.239741, epoch loss=4.409619 Batch=1019, step=3420, lr=0.185750, batch loss=0.359091, epoch loss=4.768710 Batch=1079, step=3480, lr=0.185750, batch loss=0.224696, epoch loss=4.993407 Batch=1139, step=3540, lr=0.185500, batch loss=0.265759, epoch loss=5.259166 Batch=1199, step=3600, lr=0.185000, batch loss=0.201041, epoch loss=5.460206 Epoch=2, step=3600, lr=0.185000, epoch loss=5.460206 Batch=59, step=3660, lr=0.185000, batch loss=0.223168, epoch loss=0.223168 Batch=119, step=3720, lr=0.184500, batch loss=0.185476, epoch loss=0.408643 Batch=179, step=3780, lr=0.184250, batch loss=0.212949, epoch loss=0.621592 Batch=239, step=3840, lr=0.184250, batch loss=0.317885, epoch loss=0.939477 Batch=299, step=3900, lr=0.183750, batch loss=0.204207, epoch loss=1.143684 Batch=359, step=3960, lr=0.183500, batch loss=0.290118, epoch loss=1.433802 Batch=419, step=4020, lr=0.183250, batch loss=0.279646, epoch loss=1.713449 Batch=479, step=4080, lr=0.183000, batch loss=0.254552, epoch loss=1.968001 Batch=539, step=4140, lr=0.183000, batch loss=0.193702, epoch loss=2.161703 Batch=599, step=4200, lr=0.182500, batch loss=0.231573, epoch loss=2.393276 Batch=659, step=4260, lr=0.182500, batch loss=0.337770, epoch loss=2.731046 Batch=719, step=4320, lr=0.182000, batch loss=0.342497, epoch loss=3.073543 Batch=779, step=4380, lr=0.181750, batch loss=0.353322, epoch loss=3.426864 Batch=839, step=4440, lr=0.181500, batch loss=0.317973, epoch loss=3.744837 Batch=899, step=4500, lr=0.181250, batch loss=0.286191, epoch loss=4.031029 Batch=959, step=4560, lr=0.181250, batch loss=0.238987, epoch loss=4.270016 Batch=1019, step=4620, lr=0.181000, batch loss=0.348150, epoch loss=4.618166 Batch=1079, step=4680, lr=0.180750, batch loss=0.213329, epoch loss=4.831495 Batch=1139, step=4740, lr=0.180500, batch loss=0.250732, epoch loss=5.082227 Batch=1199, step=4800, lr=0.180250, batch loss=0.192480, epoch loss=5.274707 Epoch=3, step=4800, lr=0.180250, epoch loss=5.274707 Batch=59, step=4860, lr=0.180000, batch loss=0.226230, epoch loss=0.226230 Batch=119, step=4920, lr=0.179500, batch loss=0.186131, epoch loss=0.412361 Batch=179, step=4980, lr=0.179250, batch loss=0.206626, epoch loss=0.618987 Batch=239, step=5040, lr=0.179250, batch loss=0.307921, epoch loss=0.926908 Batch=299, step=5100, lr=0.179000, batch loss=0.201256, epoch loss=1.128164 Batch=359, step=5160, lr=0.178500, batch loss=0.274350, epoch loss=1.402514 Batch=419, step=5220, lr=0.178250, batch loss=0.264612, epoch loss=1.667126 Batch=479, step=5280, lr=0.178000, batch loss=0.240299, epoch loss=1.907426 Batch=539, step=5340, lr=0.178000, batch loss=0.189047, epoch loss=2.096473 Batch=599, step=5400, lr=0.177500, batch loss=0.231770, epoch loss=2.328243 Batch=659, step=5460, lr=0.177250, batch loss=0.324431, epoch loss=2.652674 Batch=719, step=5520, lr=0.177000, batch loss=0.322078, epoch loss=2.974752 Batch=779, step=5580, lr=0.176750, batch loss=0.342907, epoch loss=3.317659 Batch=839, step=5640, lr=0.176500, batch loss=0.311539, epoch loss=3.629198 Batch=899, step=5700, lr=0.176500, batch loss=0.272574, epoch loss=3.901772 Batch=959, step=5760, lr=0.176000, batch loss=0.218288, epoch loss=4.120060 Batch=1019, step=5820, lr=0.175750, batch loss=0.334752, epoch loss=4.454812 Batch=1079, step=5880, lr=0.175750, batch loss=0.190810, epoch loss=4.645622 Batch=1139, step=5940, lr=0.175250, batch loss=0.224680, epoch loss=4.870302 Batch=1199, step=6000, lr=0.175000, batch loss=0.189355, epoch loss=5.059657 Epoch=4, step=6000, lr=0.175000, epoch loss=5.059657 Batch=59, step=6060, lr=0.175000, batch loss=0.233790, epoch loss=0.233790 Batch=119, step=6120, lr=0.174500, batch loss=0.192558, epoch loss=0.426348 Batch=179, step=6180, lr=0.174250, batch loss=0.201922, epoch loss=0.628270 Batch=239, step=6240, lr=0.174250, batch loss=0.301070, epoch loss=0.929340 Batch=299, step=6300, lr=0.173750, batch loss=0.206414, epoch loss=1.135754 Batch=359, step=6360, lr=0.173500, batch loss=0.267602, epoch loss=1.403356 Batch=419, step=6420, lr=0.173250, batch loss=0.261527, epoch loss=1.664884 Batch=479, step=6480, lr=0.173000, batch loss=0.237666, epoch loss=1.902549 Batch=539, step=6540, lr=0.172750, batch loss=0.188895, epoch loss=2.091444 Batch=599, step=6600, lr=0.172500, batch loss=0.225794, epoch loss=2.317237 Batch=659, step=6660, lr=0.172250, batch loss=0.317230, epoch loss=2.634467 Batch=719, step=6720, lr=0.172250, batch loss=0.314817, epoch loss=2.949285 Batch=779, step=6780, lr=0.171750, batch loss=0.334820, epoch loss=3.284105 Batch=839, step=6840, lr=0.171750, batch loss=0.304433, epoch loss=3.588538 Batch=899, step=6900, lr=0.171250, batch loss=0.267387, epoch loss=3.855925 Batch=959, step=6960, lr=0.171000, batch loss=0.208368, epoch loss=4.064293 Batch=1019, step=7020, lr=0.171000, batch loss=0.328761, epoch loss=4.393054 Batch=1079, step=7080, lr=0.170750, batch loss=0.174231, epoch loss=4.567285 Batch=1139, step=7140, lr=0.170500, batch loss=0.213349, epoch loss=4.780634 Batch=1199, step=7200, lr=0.170250, batch loss=0.182760, epoch loss=4.963394 Epoch=5, step=7200, lr=0.170250, epoch loss=4.963394 Batch=59, step=7260, lr=0.169750, batch loss=0.235974, epoch loss=0.235974 Batch=119, step=7320, lr=0.169750, batch loss=0.182778, epoch loss=0.418752 Batch=179, step=7380, lr=0.169250, batch loss=0.195294, epoch loss=0.614046 Batch=239, step=7440, lr=0.169000, batch loss=0.291723, epoch loss=0.905770 Batch=299, step=7500, lr=0.168750, batch loss=0.207872, epoch loss=1.113641 Batch=359, step=7560, lr=0.168500, batch loss=0.261936, epoch loss=1.375577 Batch=419, step=7620, lr=0.168500, batch loss=0.255024, epoch loss=1.630602 Batch=479, step=7680, lr=0.168000, batch loss=0.239608, epoch loss=1.870210 Batch=539, step=7740, lr=0.168000, batch loss=0.186081, epoch loss=2.056291 Batch=599, step=7800, lr=0.167500, batch loss=0.226327, epoch loss=2.282619 Batch=659, step=7860, lr=0.167250, batch loss=0.306009, epoch loss=2.588628 Batch=719, step=7920, lr=0.167000, batch loss=0.307076, epoch loss=2.895704 Batch=779, step=7980, lr=0.166750, batch loss=0.322209, epoch loss=3.217913 Batch=839, step=8040, lr=0.166750, batch loss=0.296484, epoch loss=3.514398 Batch=899, step=8100, lr=0.166250, batch loss=0.260623, epoch loss=3.775021 Batch=959, step=8160, lr=0.166250, batch loss=0.207374, epoch loss=3.982395 Batch=1019, step=8220, lr=0.165750, batch loss=0.319012, epoch loss=4.301407 Batch=1079, step=8280, lr=0.165500, batch loss=0.172768, epoch loss=4.474175 Batch=1139, step=8340, lr=0.165250, batch loss=0.209715, epoch loss=4.683890 Batch=1199, step=8400, lr=0.165250, batch loss=0.178047, epoch loss=4.861937 Epoch=6, step=8400, lr=0.165250, epoch loss=4.861937 Batch=59, step=8460, lr=0.164750, batch loss=0.230604, epoch loss=0.230604 Batch=119, step=8520, lr=0.164750, batch loss=0.174773, epoch loss=0.405377 Batch=179, step=8580, lr=0.164500, batch loss=0.188265, epoch loss=0.593642 Batch=239, step=8640, lr=0.164000, batch loss=0.279473, epoch loss=0.873115 Batch=299, step=8700, lr=0.164000, batch loss=0.190860, epoch loss=1.063975 Batch=359, step=8760, lr=0.163500, batch loss=0.250273, epoch loss=1.314247 Batch=419, step=8820, lr=0.163250, batch loss=0.245429, epoch loss=1.559676 Batch=479, step=8880, lr=0.163250, batch loss=0.229604, epoch loss=1.789280 Batch=539, step=8940, lr=0.162750, batch loss=0.178483, epoch loss=1.967763 Batch=599, step=9000, lr=0.162750, batch loss=0.219283, epoch loss=2.187046 Batch=659, step=9060, lr=0.162250, batch loss=0.294825, epoch loss=2.481871 Batch=719, step=9120, lr=0.162000, batch loss=0.294942, epoch loss=2.776813 Batch=779, step=9180, lr=0.161750, batch loss=0.316378, epoch loss=3.093192 Batch=839, step=9240, lr=0.161750, batch loss=0.287421, epoch loss=3.380612 Batch=899, step=9300, lr=0.161500, batch loss=0.251785, epoch loss=3.632398 Batch=959, step=9360, lr=0.161000, batch loss=0.190376, epoch loss=3.822774 Batch=1019, step=9420, lr=0.160750, batch loss=0.317566, epoch loss=4.140340 Batch=1079, step=9480, lr=0.160750, batch loss=0.189691, epoch loss=4.330031 Batch=1139, step=9540, lr=0.160500, batch loss=0.212745, epoch loss=4.542775 Batch=1199, step=9600, lr=0.160000, batch loss=0.167109, epoch loss=4.709885 Epoch=7, step=9600, lr=0.160000, epoch loss=4.709885 Batch=59, step=9660, lr=0.160000, batch loss=0.200468, epoch loss=0.200468 Batch=119, step=9720, lr=0.159750, batch loss=0.164173, epoch loss=0.364641 Batch=179, step=9780, lr=0.159500, batch loss=0.178773, epoch loss=0.543414 Batch=239, step=9840, lr=0.159000, batch loss=0.263266, epoch loss=0.806680 Batch=299, step=9900, lr=0.158750, batch loss=0.182847, epoch loss=0.989527 Batch=359, step=9960, lr=0.158750, batch loss=0.244034, epoch loss=1.233560 Batch=419, step=10020, lr=0.158250, batch loss=0.238271, epoch loss=1.471831 Batch=479, step=10080, lr=0.158000, batch loss=0.229106, epoch loss=1.700938 Batch=539, step=10140, lr=0.158000, batch loss=0.186598, epoch loss=1.887535 Batch=599, step=10200, lr=0.157750, batch loss=0.204767, epoch loss=2.092302 Batch=659, step=10260, lr=0.157500, batch loss=0.283510, epoch loss=2.375812 Batch=719, step=10320, lr=0.157000, batch loss=0.283805, epoch loss=2.659616 Batch=779, step=10380, lr=0.157000, batch loss=0.296664, epoch loss=2.956280 Batch=839, step=10440, lr=0.156500, batch loss=0.272570, epoch loss=3.228850 Batch=899, step=10500, lr=0.156500, batch loss=0.237601, epoch loss=3.466452 Batch=959, step=10560, lr=0.156250, batch loss=0.179102, epoch loss=3.645554 Batch=1019, step=10620, lr=0.155750, batch loss=0.297720, epoch loss=3.943274 Batch=1079, step=10680, lr=0.155500, batch loss=0.177928, epoch loss=4.121202 Batch=1139, step=10740, lr=0.155250, batch loss=0.199416, epoch loss=4.320618 Batch=1199, step=10800, lr=0.155250, batch loss=0.155623, epoch loss=4.476241 Epoch=8, step=10800, lr=0.155250, epoch loss=4.476241 Batch=59, step=10860, lr=0.155000, batch loss=0.178949, epoch loss=0.178949 Batch=119, step=10920, lr=0.154750, batch loss=0.152746, epoch loss=0.331695 Batch=179, step=10980, lr=0.154500, batch loss=0.167329, epoch loss=0.499023 Batch=239, step=11040, lr=0.154250, batch loss=0.244764, epoch loss=0.743787 Batch=299, step=11100, lr=0.154000, batch loss=0.168205, epoch loss=0.911992 Batch=359, step=11160, lr=0.153750, batch loss=0.222121, epoch loss=1.134113 Batch=419, step=11220, lr=0.153500, batch loss=0.229175, epoch loss=1.363288 Batch=479, step=11280, lr=0.153250, batch loss=0.204790, epoch loss=1.568078 Batch=539, step=11340, lr=0.153000, batch loss=0.159341, epoch loss=1.727418 Batch=599, step=11400, lr=0.152750, batch loss=0.181253, epoch loss=1.908671 Batch=659, step=11460, lr=0.152250, batch loss=0.264429, epoch loss=2.173101 Batch=719, step=11520, lr=0.152000, batch loss=0.257094, epoch loss=2.430195 Batch=779, step=11580, lr=0.151750, batch loss=0.273362, epoch loss=2.703557 Batch=839, step=11640, lr=0.151750, batch loss=0.257053, epoch loss=2.960610 Batch=899, step=11700, lr=0.151500, batch loss=0.213823, epoch loss=3.174433 Batch=959, step=11760, lr=0.151000, batch loss=0.170716, epoch loss=3.345149 Batch=1019, step=11820, lr=0.150750, batch loss=0.264560, epoch loss=3.609709 Batch=1079, step=11880, lr=0.150750, batch loss=0.153443, epoch loss=3.763151 Batch=1139, step=11940, lr=0.150250, batch loss=0.185254, epoch loss=3.948405 Batch=1199, step=12000, lr=0.150000, batch loss=0.140638, epoch loss=4.089043 Epoch=9, step=12000, lr=0.150000, epoch loss=4.089043 Batch=59, step=12060, lr=0.150000, batch loss=0.160195, epoch loss=0.160195 Batch=119, step=12120, lr=0.149500, batch loss=0.128978, epoch loss=0.289172 Batch=179, step=12180, lr=0.149500, batch loss=0.153273, epoch loss=0.442445 Batch=239, step=12240, lr=0.149250, batch loss=0.223148, epoch loss=0.665593 Batch=299, step=12300, lr=0.149000, batch loss=0.145142, epoch loss=0.810735 Batch=359, step=12360, lr=0.148750, batch loss=0.197927, epoch loss=1.008663 Batch=419, step=12420, lr=0.148250, batch loss=0.207343, epoch loss=1.216006 Batch=479, step=12480, lr=0.148250, batch loss=0.180850, epoch loss=1.396856 Batch=539, step=12540, lr=0.148000, batch loss=0.143511, epoch loss=1.540367 Batch=599, step=12600, lr=0.147750, batch loss=0.152354, epoch loss=1.692721 Batch=659, step=12660, lr=0.147500, batch loss=0.225752, epoch loss=1.918472 Batch=719, step=12720, lr=0.147000, batch loss=0.233860, epoch loss=2.152332 Batch=779, step=12780, lr=0.147000, batch loss=0.257314, epoch loss=2.409645 Batch=839, step=12840, lr=0.146750, batch loss=0.234903, epoch loss=2.644549 Batch=899, step=12900, lr=0.146500, batch loss=0.226690, epoch loss=2.871239 Batch=959, step=12960, lr=0.146250, batch loss=0.146094, epoch loss=3.017333 Batch=1019, step=13020, lr=0.145750, batch loss=0.243460, epoch loss=3.260793 Batch=1079, step=13080, lr=0.145500, batch loss=0.105401, epoch loss=3.366194 Batch=1139, step=13140, lr=0.145500, batch loss=0.143613, epoch loss=3.509807 Batch=1199, step=13200, lr=0.145250, batch loss=0.123515, epoch loss=3.633322 Epoch=10, step=13200, lr=0.145250, epoch loss=3.633322 Batch=59, step=13260, lr=0.145000, batch loss=0.157292, epoch loss=0.157292 Batch=119, step=13320, lr=0.144500, batch loss=0.130140, epoch loss=0.287432 Batch=179, step=13380, lr=0.144250, batch loss=0.129678, epoch loss=0.417110 Batch=239, step=13440, lr=0.144000, batch loss=0.192698, epoch loss=0.609808 Batch=299, step=13500, lr=0.143750, batch loss=0.120979, epoch loss=0.730788 Batch=359, step=13560, lr=0.143500, batch loss=0.163815, epoch loss=0.894603 Batch=419, step=13620, lr=0.143500, batch loss=0.162419, epoch loss=1.057022 Batch=479, step=13680, lr=0.143000, batch loss=0.148624, epoch loss=1.205645 Batch=539, step=13740, lr=0.142750, batch loss=0.119912, epoch loss=1.325557 Batch=599, step=13800, lr=0.142500, batch loss=0.122206, epoch loss=1.447763 Batch=659, step=13860, lr=0.142500, batch loss=0.177755, epoch loss=1.625518 Batch=719, step=13920, lr=0.142250, batch loss=0.180381, epoch loss=1.805898 Batch=779, step=13980, lr=0.141750, batch loss=0.198898, epoch loss=2.004797 Batch=839, step=14040, lr=0.141750, batch loss=0.189078, epoch loss=2.193875 Batch=899, step=14100, lr=0.141500, batch loss=0.158933, epoch loss=2.352807 Batch=959, step=14160, lr=0.141250, batch loss=0.136148, epoch loss=2.488955 Batch=1019, step=14220, lr=0.141000, batch loss=0.282596, epoch loss=2.771551 Batch=1079, step=14280, lr=0.140500, batch loss=0.087857, epoch loss=2.859408 Batch=1139, step=14340, lr=0.140250, batch loss=0.133021, epoch loss=2.992429 Batch=1199, step=14400, lr=0.140000, batch loss=0.094783, epoch loss=3.087212 Epoch=11, step=14400, lr=0.140000, epoch loss=3.087212 Batch=59, step=14460, lr=0.140000, batch loss=0.122081, epoch loss=0.122081 Batch=119, step=14520, lr=0.139750, batch loss=0.106899, epoch loss=0.228980 Batch=179, step=14580, lr=0.139500, batch loss=0.104891, epoch loss=0.333871 Batch=239, step=14640, lr=0.139000, batch loss=0.145670, epoch loss=0.479541 Batch=299, step=14700, lr=0.138750, batch loss=0.077996, epoch loss=0.557537 Batch=359, step=14760, lr=0.138500, batch loss=0.122960, epoch loss=0.680497 Batch=419, step=14820, lr=0.138250, batch loss=0.128792, epoch loss=0.809289 Batch=479, step=14880, lr=0.138000, batch loss=0.107067, epoch loss=0.916357 Batch=539, step=14940, lr=0.138000, batch loss=0.105433, epoch loss=1.021790 Batch=599, step=15000, lr=0.137500, batch loss=0.086497, epoch loss=1.108287 Batch=659, step=15060, lr=0.137250, batch loss=0.129815, epoch loss=1.238102 Batch=719, step=15120, lr=0.137000, batch loss=0.120316, epoch loss=1.358418 Batch=779, step=15180, lr=0.136750, batch loss=0.140451, epoch loss=1.498868 Batch=839, step=15240, lr=0.136500, batch loss=0.165948, epoch loss=1.664816 Batch=899, step=15300, lr=0.136500, batch loss=0.271299, epoch loss=1.936115 Batch=959, step=15360, lr=0.136250, batch loss=0.071584, epoch loss=2.007699 Batch=1019, step=15420, lr=0.135750, batch loss=0.156870, epoch loss=2.164569 Batch=1079, step=15480, lr=0.135500, batch loss=0.043945, epoch loss=2.208513 Batch=1139, step=15540, lr=0.135500, batch loss=0.099641, epoch loss=2.308154 Batch=1199, step=15600, lr=0.135000, batch loss=0.062877, epoch loss=2.371031 Epoch=12, step=15600, lr=0.135000, epoch loss=2.371031 Batch=59, step=15660, lr=0.134750, batch loss=0.082722, epoch loss=0.082722 Batch=119, step=15720, lr=0.134500, batch loss=0.120256, epoch loss=0.202978 Batch=179, step=15780, lr=0.134250, batch loss=0.093630, epoch loss=0.296608 Batch=239, step=15840, lr=0.134000, batch loss=0.097619, epoch loss=0.394227 Batch=299, step=15900, lr=0.133750, batch loss=0.041769, epoch loss=0.435997 Batch=359, step=15960, lr=0.133500, batch loss=0.084012, epoch loss=0.520009 Batch=419, step=16020, lr=0.133500, batch loss=0.081762, epoch loss=0.601770 Batch=479, step=16080, lr=0.133000, batch loss=0.063850, epoch loss=0.665620 Batch=539, step=16140, lr=0.132750, batch loss=0.061640, epoch loss=0.727260 Batch=599, step=16200, lr=0.132500, batch loss=0.138363, epoch loss=0.865623 Batch=659, step=16260, lr=0.132500, batch loss=0.086434, epoch loss=0.952057 Batch=719, step=16320, lr=0.132000, batch loss=0.129711, epoch loss=1.081767 Batch=779, step=16380, lr=0.131750, batch loss=0.276338, epoch loss=1.358105 Batch=839, step=16440, lr=0.131750, batch loss=0.090989, epoch loss=1.449094 Batch=899, step=16500, lr=0.131500, batch loss=0.076162, epoch loss=1.525256 Batch=959, step=16560, lr=0.131000, batch loss=0.031918, epoch loss=1.557174 Batch=1019, step=16620, lr=0.130750, batch loss=0.071098, epoch loss=1.628271 Batch=1079, step=16680, lr=0.130500, batch loss=0.045551, epoch loss=1.673822 Batch=1139, step=16740, lr=0.130250, batch loss=0.079010, epoch loss=1.752832 Batch=1199, step=16800, lr=0.130000, batch loss=0.037486, epoch loss=1.790318 Epoch=13, step=16800, lr=0.130000, epoch loss=1.790318 Batch=59, step=16860, lr=0.129750, batch loss=0.034794, epoch loss=0.034794 Batch=119, step=16920, lr=0.129750, batch loss=0.037295, epoch loss=0.072090 Batch=179, step=16980, lr=0.129250, batch loss=0.043323, epoch loss=0.115412 Batch=239, step=17040, lr=0.129000, batch loss=0.061428, epoch loss=0.176840 Batch=299, step=17100, lr=0.128750, batch loss=0.034074, epoch loss=0.210914 Batch=359, step=17160, lr=0.128500, batch loss=0.053580, epoch loss=0.264494 Batch=419, step=17220, lr=0.128250, batch loss=0.092090, epoch loss=0.356583 Batch=479, step=17280, lr=0.128000, batch loss=0.026576, epoch loss=0.383159 Batch=539, step=17340, lr=0.127750, batch loss=0.027029, epoch loss=0.410188 Batch=599, step=17400, lr=0.127500, batch loss=0.042170, epoch loss=0.452358 Batch=659, step=17460, lr=0.127500, batch loss=0.055062, epoch loss=0.507420 Batch=719, step=17520, lr=0.127000, batch loss=0.054208, epoch loss=0.561628 Batch=779, step=17580, lr=0.127000, batch loss=0.072162, epoch loss=0.633790 Batch=839, step=17640, lr=0.126500, batch loss=0.130192, epoch loss=0.763982 Batch=899, step=17700, lr=0.126250, batch loss=0.061381, epoch loss=0.825363 Batch=959, step=17760, lr=0.126000, batch loss=0.021215, epoch loss=0.846578 Batch=1019, step=17820, lr=0.125750, batch loss=0.032810, epoch loss=0.879388 Batch=1079, step=17880, lr=0.125500, batch loss=0.014556, epoch loss=0.893944 Batch=1139, step=17940, lr=0.125250, batch loss=0.044342, epoch loss=0.938286 Batch=1199, step=18000, lr=0.125250, batch loss=0.018294, epoch loss=0.956579 Epoch=14, step=18000, lr=0.125250, epoch loss=0.956579 Batch=59, step=18060, lr=0.124750, batch loss=0.014609, epoch loss=0.014609 Batch=119, step=18120, lr=0.124500, batch loss=0.025349, epoch loss=0.039957 Batch=179, step=18180, lr=0.124250, batch loss=0.030305, epoch loss=0.070263 Batch=239, step=18240, lr=0.124000, batch loss=0.035866, epoch loss=0.106129 Batch=299, step=18300, lr=0.124000, batch loss=0.009536, epoch loss=0.115665 Batch=359, step=18360, lr=0.123500, batch loss=0.026276, epoch loss=0.141941 Batch=419, step=18420, lr=0.123250, batch loss=0.030937, epoch loss=0.172878 Batch=479, step=18480, lr=0.123250, batch loss=0.018825, epoch loss=0.191703 Batch=539, step=18540, lr=0.122750, batch loss=0.024567, epoch loss=0.216270 Batch=599, step=18600, lr=0.122500, batch loss=0.027226, epoch loss=0.243496 Batch=659, step=18660, lr=0.122250, batch loss=0.030510, epoch loss=0.274006 Batch=719, step=18720, lr=0.122250, batch loss=0.026785, epoch loss=0.300791 Batch=779, step=18780, lr=0.121750, batch loss=0.063319, epoch loss=0.364111 Batch=839, step=18840, lr=0.121500, batch loss=0.068748, epoch loss=0.432859 Batch=899, step=18900, lr=0.121250, batch loss=0.117107, epoch loss=0.549966 Batch=959, step=18960, lr=0.121000, batch loss=0.022027, epoch loss=0.571993 Batch=1019, step=19020, lr=0.120750, batch loss=0.027388, epoch loss=0.599381 Batch=1079, step=19080, lr=0.120500, batch loss=0.003779, epoch loss=0.603160 Batch=1139, step=19140, lr=0.120250, batch loss=0.022670, epoch loss=0.625830 Batch=1199, step=19200, lr=0.120000, batch loss=0.013160, epoch loss=0.638990 Epoch=15, step=19200, lr=0.120000, epoch loss=0.638990 Batch=59, step=19260, lr=0.119750, batch loss=0.010461, epoch loss=0.010461 Batch=119, step=19320, lr=0.119500, batch loss=0.026718, epoch loss=0.037179 Batch=179, step=19380, lr=0.119250, batch loss=0.069635, epoch loss=0.106814 Batch=239, step=19440, lr=0.119000, batch loss=0.031628, epoch loss=0.138442 Batch=299, step=19500, lr=0.118750, batch loss=0.006478, epoch loss=0.144920 Batch=359, step=19560, lr=0.118500, batch loss=0.023751, epoch loss=0.168671 Batch=419, step=19620, lr=0.118250, batch loss=0.021691, epoch loss=0.190363 Batch=479, step=19680, lr=0.118250, batch loss=0.008040, epoch loss=0.198403 Batch=539, step=19740, lr=0.117750, batch loss=0.018010, epoch loss=0.216413 Batch=599, step=19800, lr=0.117500, batch loss=0.023807, epoch loss=0.240220 Batch=659, step=19860, lr=0.117500, batch loss=0.022316, epoch loss=0.262536 Batch=719, step=19920, lr=0.117000, batch loss=0.051758, epoch loss=0.314293 Batch=779, step=19980, lr=0.116750, batch loss=0.086208, epoch loss=0.400501 Batch=839, step=20040, lr=0.116500, batch loss=0.031577, epoch loss=0.432078 Batch=899, step=20100, lr=0.116250, batch loss=0.033956, epoch loss=0.466034 Batch=959, step=20160, lr=0.116000, batch loss=0.011105, epoch loss=0.477139 Batch=1019, step=20220, lr=0.115750, batch loss=0.013913, epoch loss=0.491052 Batch=1079, step=20280, lr=0.115500, batch loss=0.003719, epoch loss=0.494771 Batch=1139, step=20340, lr=0.115500, batch loss=0.015319, epoch loss=0.510090 Batch=1199, step=20400, lr=0.115000, batch loss=0.005990, epoch loss=0.516080 Epoch=16, step=20400, lr=0.115000, epoch loss=0.516080 Batch=59, step=20460, lr=0.114750, batch loss=0.003152, epoch loss=0.003152 Batch=119, step=20520, lr=0.114500, batch loss=0.009609, epoch loss=0.012761 Batch=179, step=20580, lr=0.114250, batch loss=0.020156, epoch loss=0.032916 Batch=239, step=20640, lr=0.114000, batch loss=0.021119, epoch loss=0.054036 Batch=299, step=20700, lr=0.114000, batch loss=0.010305, epoch loss=0.064341 Batch=359, step=20760, lr=0.113500, batch loss=0.014610, epoch loss=0.078951 Batch=419, step=20820, lr=0.113250, batch loss=0.014658, epoch loss=0.093608 Batch=479, step=20880, lr=0.113000, batch loss=0.003954, epoch loss=0.097563 Batch=539, step=20940, lr=0.112750, batch loss=0.016140, epoch loss=0.113703 Batch=599, step=21000, lr=0.112500, batch loss=0.017564, epoch loss=0.131267 Batch=659, step=21060, lr=0.112250, batch loss=0.012988, epoch loss=0.144255 Batch=719, step=21120, lr=0.112250, batch loss=0.036182, epoch loss=0.180437 Batch=779, step=21180, lr=0.111750, batch loss=0.061775, epoch loss=0.242212 Batch=839, step=21240, lr=0.111750, batch loss=0.025541, epoch loss=0.267753 Batch=899, step=21300, lr=0.111500, batch loss=0.028311, epoch loss=0.296064 Batch=959, step=21360, lr=0.111000, batch loss=0.010104, epoch loss=0.306168 Batch=1019, step=21420, lr=0.110750, batch loss=0.010611, epoch loss=0.316779 Batch=1079, step=21480, lr=0.110500, batch loss=0.002009, epoch loss=0.318788 Batch=1139, step=21540, lr=0.110250, batch loss=0.012528, epoch loss=0.331316 Batch=1199, step=21600, lr=0.110000, batch loss=0.005070, epoch loss=0.336386 Epoch=17, step=21600, lr=0.110000, epoch loss=0.336386 Batch=59, step=21660, lr=0.110000, batch loss=0.002593, epoch loss=0.002593 Batch=119, step=21720, lr=0.109500, batch loss=0.006636, epoch loss=0.009229 Batch=179, step=21780, lr=0.109250, batch loss=0.012956, epoch loss=0.022185 Batch=239, step=21840, lr=0.109000, batch loss=0.009844, epoch loss=0.032029 Batch=299, step=21900, lr=0.108750, batch loss=0.001523, epoch loss=0.033553 Batch=359, step=21960, lr=0.108500, batch loss=0.011542, epoch loss=0.045095 Batch=419, step=22020, lr=0.108250, batch loss=0.012680, epoch loss=0.057774 Batch=479, step=22080, lr=0.108250, batch loss=0.002979, epoch loss=0.060753 Batch=539, step=22140, lr=0.107750, batch loss=0.017283, epoch loss=0.078036 Batch=599, step=22200, lr=0.107500, batch loss=0.017549, epoch loss=0.095585 Batch=659, step=22260, lr=0.107250, batch loss=0.015401, epoch loss=0.110987 Batch=719, step=22320, lr=0.107000, batch loss=0.026585, epoch loss=0.137571 Batch=779, step=22380, lr=0.107000, batch loss=0.037513, epoch loss=0.175084 Batch=839, step=22440, lr=0.106500, batch loss=0.024315, epoch loss=0.199400 Batch=899, step=22500, lr=0.106250, batch loss=0.029256, epoch loss=0.228656 Batch=959, step=22560, lr=0.106000, batch loss=0.009030, epoch loss=0.237686 Batch=1019, step=22620, lr=0.105750, batch loss=0.009823, epoch loss=0.247509 Batch=1079, step=22680, lr=0.105500, batch loss=0.000976, epoch loss=0.248484 Batch=1139, step=22740, lr=0.105250, batch loss=0.011345, epoch loss=0.259829 Batch=1199, step=22800, lr=0.105000, batch loss=0.004694, epoch loss=0.264523 Epoch=18, step=22800, lr=0.105000, epoch loss=0.264523 Batch=59, step=22860, lr=0.104750, batch loss=0.001830, epoch loss=0.001830 Batch=119, step=22920, lr=0.104500, batch loss=0.005580, epoch loss=0.007410 Batch=179, step=22980, lr=0.104250, batch loss=0.011385, epoch loss=0.018796 Batch=239, step=23040, lr=0.104000, batch loss=0.009223, epoch loss=0.028018 Batch=299, step=23100, lr=0.103750, batch loss=0.010060, epoch loss=0.038078 Batch=359, step=23160, lr=0.103500, batch loss=0.012418, epoch loss=0.050496 Batch=419, step=23220, lr=0.103250, batch loss=0.010643, epoch loss=0.061139 Batch=479, step=23280, lr=0.103000, batch loss=0.002444, epoch loss=0.063583 Batch=539, step=23340, lr=0.102750, batch loss=0.016746, epoch loss=0.080329 Batch=599, step=23400, lr=0.102500, batch loss=0.013871, epoch loss=0.094200 Batch=659, step=23460, lr=0.102250, batch loss=0.012087, epoch loss=0.106286 Batch=719, step=23520, lr=0.102250, batch loss=0.017219, epoch loss=0.123505 Batch=779, step=23580, lr=0.101750, batch loss=0.019639, epoch loss=0.143144 Batch=839, step=23640, lr=0.101500, batch loss=0.025422, epoch loss=0.168565 Batch=899, step=23700, lr=0.101250, batch loss=0.022698, epoch loss=0.191264 Batch=959, step=23760, lr=0.101250, batch loss=0.007833, epoch loss=0.199097 Batch=1019, step=23820, lr=0.100750, batch loss=0.006776, epoch loss=0.205873 Batch=1079, step=23880, lr=0.100500, batch loss=0.001663, epoch loss=0.207536 Batch=1139, step=23940, lr=0.100250, batch loss=0.008249, epoch loss=0.215785 Batch=1199, step=24000, lr=0.100000, batch loss=0.004466, epoch loss=0.220251 Epoch=19, step=24000, lr=0.100000, epoch loss=0.220251 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ 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│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:46.48 ---> saved as "3236b55ad4587518f681213d671be84664fcb7bd4a21ed88886f9d11518b0696" Job succeeded 2025-05-10 12:46.49: Job succeeded