2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (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 95dddcae 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 12:34.49: 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 12:34.49: 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 12:34.49: Waiting for resource in pool OCluster 2025-05-10 12:34.49: Waiting for worker… 2025-05-10 12:35.16: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at d36b4190 experiment HEAD is now at 95dddcae Don't fail if ocannl_config not found (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 12:35.17 ---> 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 12:35.17 ---> 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 12:35.17 ---> 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 12:35.17 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:35.17 ---> 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 12:35.17 ---> using "92336e4f63f61fa8bc3fb1f9da35d25adc61b5d4a45b6fb6299f8c3b9a89b097" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:35.17 ---> 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 12:35.17 ---> using "fe8bc6f2ad8d88ba4c4dde14270172bc2f079948eab6fd9661ee307a9763fbaf" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:35.17 ---> 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 12:35.17 ---> 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 12:35.17 ---> using "41cecdf5a1d96202c9e4aab36958a151f0c7d4077f1c18c79c52c4535d76a0a7" from cache /src: (copy (src .) (dst /src)) 2025-05-10 12:35.18 ---> saved as "df52e7ed26b0d3349bd47033a5592549b64cac92b6f53b5ceeda7df044dfd6d2" /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 '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 '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 '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=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.186750, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321762, epoch loss=3.844230 Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128131 Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342494 Batch=1019, step=3420, lr=0.186000, batch loss=0.306470, epoch loss=4.648963 Batch=1079, step=3480, lr=0.185750, batch loss=0.177237, epoch loss=4.826201 Batch=1139, step=3540, lr=0.185500, batch loss=0.235620, epoch loss=5.061821 Batch=1199, step=3600, lr=0.185250, batch loss=0.197910, epoch loss=5.259731 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259731 Batch=59, step=3660, lr=0.185000, batch loss=0.226486, epoch loss=0.226486 Batch=119, step=3720, lr=0.184750, batch loss=0.191851, epoch loss=0.418337 Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629047 Batch=239, step=3840, lr=0.184250, batch loss=0.314087, epoch loss=0.943134 Batch=299, step=3900, lr=0.184000, batch loss=0.206077, epoch loss=1.149211 Batch=359, step=3960, lr=0.183750, batch loss=0.291171, epoch loss=1.440382 Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737888 Batch=479, step=4080, lr=0.183250, batch loss=0.260457, epoch loss=1.998345 Batch=539, step=4140, lr=0.183000, batch loss=0.195271, epoch loss=2.193617 Batch=599, step=4200, lr=0.182750, batch loss=0.230327, epoch loss=2.423944 Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761148 Batch=719, step=4320, lr=0.182250, batch loss=0.347068, epoch loss=3.108216 Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454588 Batch=839, step=4440, lr=0.181750, batch loss=0.317724, epoch loss=3.772312 Batch=899, step=4500, lr=0.181500, batch loss=0.283984, epoch loss=4.056295 Batch=959, step=4560, lr=0.181250, batch loss=0.238269, epoch loss=4.294564 Batch=1019, step=4620, lr=0.181000, batch loss=0.337022, epoch loss=4.631586 Batch=1079, step=4680, lr=0.180750, batch loss=0.208455, epoch loss=4.840041 Batch=1139, step=4740, lr=0.180500, batch loss=0.249294, epoch loss=5.089335 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281103 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281103 Batch=59, step=4860, lr=0.180000, batch loss=0.228007, epoch loss=0.228007 Batch=119, step=4920, lr=0.179750, batch loss=0.190278, epoch loss=0.418285 Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624196 Batch=239, step=5040, lr=0.179250, batch loss=0.309038, epoch loss=0.933234 Batch=299, step=5100, lr=0.179000, batch loss=0.204655, epoch loss=1.137889 Batch=359, step=5160, lr=0.178750, batch loss=0.271102, epoch loss=1.408991 Batch=419, step=5220, lr=0.178500, batch loss=0.264067, epoch loss=1.673058 Batch=479, step=5280, lr=0.178250, batch loss=0.239664, epoch loss=1.912722 Batch=539, step=5340, lr=0.178000, batch loss=0.189497, epoch loss=2.102219 Batch=599, step=5400, lr=0.177750, batch loss=0.230943, epoch loss=2.333162 Batch=659, step=5460, lr=0.177500, batch loss=0.323646, epoch loss=2.656808 Batch=719, step=5520, lr=0.177250, batch loss=0.325814, epoch loss=2.982622 Batch=779, step=5580, lr=0.177000, batch loss=0.343243, epoch loss=3.325865 Batch=839, step=5640, lr=0.176750, batch loss=0.309302, epoch loss=3.635167 Batch=899, step=5700, lr=0.176500, batch loss=0.273232, epoch loss=3.908398 Batch=959, step=5760, lr=0.176250, batch loss=0.214814, epoch loss=4.123213 Batch=1019, step=5820, lr=0.176000, batch loss=0.339309, epoch loss=4.462522 Batch=1079, step=5880, lr=0.175750, batch loss=0.207715, epoch loss=4.670236 Batch=1139, step=5940, lr=0.175500, batch loss=0.240062, epoch loss=4.910298 Batch=1199, step=6000, lr=0.175250, batch loss=0.186874, epoch loss=5.097172 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097172 Batch=59, step=6060, lr=0.175000, batch loss=0.230498, epoch loss=0.230498 Batch=119, step=6120, lr=0.174750, batch loss=0.194326, epoch loss=0.424824 Batch=179, step=6180, lr=0.174500, batch loss=0.201550, epoch loss=0.626374 Batch=239, step=6240, lr=0.174250, batch loss=0.302369, epoch loss=0.928743 Batch=299, step=6300, lr=0.174000, batch loss=0.203961, epoch loss=1.132704 Batch=359, step=6360, lr=0.173750, batch loss=0.266085, epoch loss=1.398789 Batch=419, step=6420, lr=0.173500, batch loss=0.265311, epoch loss=1.664100 Batch=479, step=6480, lr=0.173250, batch loss=0.243296, epoch loss=1.907395 Batch=539, step=6540, lr=0.173000, batch loss=0.192997, epoch loss=2.100392 Batch=599, step=6600, lr=0.172750, batch loss=0.234470, epoch loss=2.334862 Batch=659, step=6660, lr=0.172500, batch loss=0.312127, epoch loss=2.646989 Batch=719, step=6720, lr=0.172250, batch loss=0.314218, epoch loss=2.961207 Batch=779, step=6780, lr=0.172000, batch loss=0.333247, epoch loss=3.294454 Batch=839, step=6840, lr=0.171750, batch loss=0.303747, epoch loss=3.598200 Batch=899, step=6900, lr=0.171500, batch loss=0.268494, epoch loss=3.866694 Batch=959, step=6960, lr=0.171250, batch loss=0.211003, epoch loss=4.077697 Batch=1019, step=7020, lr=0.171000, batch loss=0.330494, epoch loss=4.408191 Batch=1079, step=7080, lr=0.170750, batch loss=0.180821, epoch loss=4.589012 Batch=1139, step=7140, lr=0.170500, batch loss=0.216327, epoch loss=4.805340 Batch=1199, step=7200, lr=0.170250, batch loss=0.181927, epoch loss=4.987266 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987266 Batch=59, step=7260, lr=0.170000, batch loss=0.232845, epoch loss=0.232845 Batch=119, step=7320, lr=0.169750, batch loss=0.184478, epoch loss=0.417323 Batch=179, step=7380, lr=0.169500, batch loss=0.196304, epoch loss=0.613628 Batch=239, step=7440, lr=0.169250, batch loss=0.290834, epoch loss=0.904461 Batch=299, step=7500, lr=0.169000, batch loss=0.200828, epoch loss=1.105290 Batch=359, step=7560, lr=0.168750, batch loss=0.258437, epoch loss=1.363726 Batch=419, step=7620, lr=0.168500, batch loss=0.256805, epoch loss=1.620531 Batch=479, step=7680, lr=0.168250, batch loss=0.236016, epoch loss=1.856547 Batch=539, step=7740, lr=0.168000, batch loss=0.187884, epoch loss=2.044431 Batch=599, step=7800, lr=0.167750, batch loss=0.223945, epoch loss=2.268375 Batch=659, step=7860, lr=0.167500, batch loss=0.305902, epoch loss=2.574278 Batch=719, step=7920, lr=0.167250, batch loss=0.309310, epoch loss=2.883588 Batch=779, step=7980, lr=0.167000, batch loss=0.330002, epoch loss=3.213590 Batch=839, step=8040, lr=0.166750, batch loss=0.292392, epoch loss=3.505981 Batch=899, step=8100, lr=0.166500, batch loss=0.261819, epoch loss=3.767801 Batch=959, step=8160, lr=0.166250, batch loss=0.193224, epoch loss=3.961025 Batch=1019, step=8220, lr=0.166000, batch loss=0.314182, epoch loss=4.275207 Batch=1079, step=8280, lr=0.165750, batch loss=0.172015, epoch loss=4.447222 Batch=1139, step=8340, lr=0.165500, batch loss=0.209780, epoch loss=4.657002 Batch=1199, step=8400, lr=0.165250, batch loss=0.178326, epoch loss=4.835327 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835327 Batch=59, step=8460, lr=0.165000, batch loss=0.229629, epoch loss=0.229629 Batch=119, step=8520, lr=0.164750, batch loss=0.175073, epoch loss=0.404702 Batch=179, step=8580, lr=0.164500, batch loss=0.187823, epoch loss=0.592525 Batch=239, step=8640, lr=0.164250, batch loss=0.278174, epoch loss=0.870698 Batch=299, step=8700, lr=0.164000, batch loss=0.192080, epoch loss=1.062778 Batch=359, step=8760, lr=0.163750, batch loss=0.248569, epoch loss=1.311347 Batch=419, step=8820, lr=0.163500, batch loss=0.245670, epoch loss=1.557017 Batch=479, step=8880, lr=0.163250, batch loss=0.228507, epoch loss=1.785524 Batch=539, step=8940, lr=0.163000, batch loss=0.178217, epoch loss=1.963741 Batch=599, step=9000, lr=0.162750, batch loss=0.217289, epoch loss=2.181030 Batch=659, step=9060, lr=0.162500, batch loss=0.294906, epoch loss=2.475936 Batch=719, step=9120, lr=0.162250, batch loss=0.296363, epoch loss=2.772300 Batch=779, step=9180, lr=0.162000, batch loss=0.316838, epoch loss=3.089138 Batch=839, step=9240, lr=0.161750, batch loss=0.287179, epoch loss=3.376317 Batch=899, step=9300, lr=0.161500, batch loss=0.251126, epoch loss=3.627442 Batch=959, step=9360, lr=0.161250, batch loss=0.190645, epoch loss=3.818087 Batch=1019, step=9420, lr=0.161000, batch loss=0.311488, epoch loss=4.129575 Batch=1079, step=9480, lr=0.160750, batch loss=0.191729, epoch loss=4.321304 Batch=1139, step=9540, lr=0.160500, batch loss=0.215645, epoch loss=4.536950 Batch=1199, step=9600, lr=0.160250, batch loss=0.165625, epoch loss=4.702574 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702574 Batch=59, step=9660, lr=0.160000, batch loss=0.197332, epoch loss=0.197332 Batch=119, step=9720, lr=0.159750, batch loss=0.165530, epoch loss=0.362862 Batch=179, step=9780, lr=0.159500, batch loss=0.179287, epoch loss=0.542149 Batch=239, step=9840, lr=0.159250, batch loss=0.263829, epoch loss=0.805978 Batch=299, step=9900, lr=0.159000, batch loss=0.182267, epoch loss=0.988245 Batch=359, step=9960, lr=0.158750, batch loss=0.240794, epoch loss=1.229039 Batch=419, step=10020, lr=0.158500, batch loss=0.233037, epoch loss=1.462076 Batch=479, step=10080, lr=0.158250, batch loss=0.213360, epoch loss=1.675435 Batch=539, step=10140, lr=0.158000, batch loss=0.170585, epoch loss=1.846020 Batch=599, step=10200, lr=0.157500, batch loss=0.200447, epoch loss=2.046467 Batch=659, step=10260, lr=0.157250, batch loss=0.282753, epoch loss=2.329219 Batch=719, step=10320, lr=0.157250, batch loss=0.279303, epoch loss=2.608522 Batch=779, step=10380, lr=0.157000, batch loss=0.300474, epoch loss=2.908996 Batch=839, step=10440, lr=0.156750, batch loss=0.270904, epoch loss=3.179900 Batch=899, step=10500, lr=0.156500, batch loss=0.239660, epoch loss=3.419560 Batch=959, step=10560, lr=0.156250, batch loss=0.197782, epoch loss=3.617341 Batch=1019, step=10620, lr=0.156000, batch loss=0.282442, epoch loss=3.899783 Batch=1079, step=10680, lr=0.155500, batch loss=0.172295, epoch loss=4.072078 Batch=1139, step=10740, lr=0.155500, batch loss=0.201785, epoch loss=4.273863 Batch=1199, step=10800, lr=0.155000, batch loss=0.154106, epoch loss=4.427969 Epoch=8, step=10800, lr=0.155000, epoch loss=4.427969 Batch=59, step=10860, lr=0.154750, batch loss=0.175862, epoch loss=0.175862 Batch=119, step=10920, lr=0.154750, batch loss=0.143396, epoch loss=0.319258 Batch=179, step=10980, lr=0.154500, batch loss=0.165504, epoch loss=0.484762 Batch=239, step=11040, lr=0.154250, batch loss=0.240914, epoch loss=0.725677 Batch=299, step=11100, lr=0.154000, batch loss=0.171849, epoch loss=0.897526 Batch=359, step=11160, lr=0.153750, batch loss=0.223464, epoch loss=1.120990 Batch=419, step=11220, lr=0.153500, batch loss=0.229435, epoch loss=1.350425 Batch=479, step=11280, lr=0.153250, batch loss=0.203153, epoch loss=1.553578 Batch=539, step=11340, lr=0.153000, batch loss=0.160536, epoch loss=1.714114 Batch=599, step=11400, lr=0.152750, batch loss=0.185006, epoch loss=1.899119 Batch=659, step=11460, lr=0.152500, batch loss=0.263891, epoch loss=2.163011 Batch=719, step=11520, lr=0.152250, batch loss=0.249621, epoch loss=2.412632 Batch=779, step=11580, lr=0.151750, batch loss=0.272103, epoch loss=2.684735 Batch=839, step=11640, lr=0.151750, batch loss=0.254096, epoch loss=2.938831 Batch=899, step=11700, lr=0.151500, batch loss=0.218181, epoch loss=3.157012 Batch=959, step=11760, lr=0.151000, batch loss=0.181671, epoch loss=3.338682 Batch=1019, step=11820, lr=0.151000, batch loss=0.266147, epoch loss=3.604830 Batch=1079, step=11880, lr=0.150500, batch loss=0.159258, epoch loss=3.764088 Batch=1139, step=11940, lr=0.150500, batch loss=0.190702, epoch loss=3.954790 Batch=1199, step=12000, lr=0.150250, batch loss=0.139267, epoch loss=4.094057 Epoch=9, step=12000, lr=0.150250, epoch loss=4.094057 Batch=59, step=12060, lr=0.150000, batch loss=0.161308, epoch loss=0.161308 Batch=119, step=12120, lr=0.149750, batch loss=0.136732, epoch loss=0.298040 Batch=179, step=12180, lr=0.149500, batch loss=0.150195, epoch loss=0.448235 Batch=239, step=12240, lr=0.149250, batch loss=0.218379, epoch loss=0.666614 Batch=299, step=12300, lr=0.148750, batch loss=0.143336, epoch loss=0.809951 Batch=359, step=12360, lr=0.148750, batch loss=0.196828, epoch loss=1.006779 Batch=419, step=12420, lr=0.148500, batch loss=0.206258, epoch loss=1.213037 Batch=479, step=12480, lr=0.148250, batch loss=0.178782, epoch loss=1.391819 Batch=539, step=12540, lr=0.148000, batch loss=0.142692, epoch loss=1.534512 Batch=599, step=12600, lr=0.147750, batch loss=0.149940, epoch loss=1.684452 Batch=659, step=12660, lr=0.147500, batch loss=0.225845, epoch loss=1.910297 Batch=719, step=12720, lr=0.147250, batch loss=0.232203, epoch loss=2.142500 Batch=779, step=12780, lr=0.147000, batch loss=0.255880, epoch loss=2.398380 Batch=839, step=12840, lr=0.146750, batch loss=0.234665, epoch loss=2.633046 Batch=899, step=12900, lr=0.146500, batch loss=0.221368, epoch loss=2.854414 Batch=959, step=12960, lr=0.146250, batch loss=0.144871, epoch loss=2.999284 Batch=1019, step=13020, lr=0.146000, batch loss=0.244038, epoch loss=3.243322 Batch=1079, step=13080, lr=0.145750, batch loss=0.112181, epoch loss=3.355503 Batch=1139, step=13140, lr=0.145500, batch loss=0.148686, epoch loss=3.504189 Batch=1199, step=13200, lr=0.145250, batch loss=0.116278, epoch loss=3.620467 Epoch=10, step=13200, lr=0.145250, epoch loss=3.620467 Batch=59, step=13260, lr=0.145000, batch loss=0.139972, epoch loss=0.139972 Batch=119, step=13320, lr=0.144750, batch loss=0.122441, epoch loss=0.262413 Batch=179, step=13380, lr=0.144250, batch loss=0.128317, epoch loss=0.390730 Batch=239, step=13440, lr=0.144000, batch loss=0.192410, epoch loss=0.583140 Batch=299, step=13500, lr=0.143750, batch loss=0.117649, epoch loss=0.700789 Batch=359, step=13560, lr=0.143750, batch loss=0.166172, epoch loss=0.866961 Batch=419, step=13620, lr=0.143500, batch loss=0.182139, epoch loss=1.049100 Batch=479, step=13680, lr=0.143250, batch loss=0.137118, epoch loss=1.186218 Batch=539, step=13740, lr=0.143000, batch loss=0.117719, epoch loss=1.303937 Batch=599, step=13800, lr=0.142750, batch loss=0.119947, epoch loss=1.423883 Batch=659, step=13860, lr=0.142500, batch loss=0.177084, epoch loss=1.600967 Batch=719, step=13920, lr=0.142000, batch loss=0.175359, epoch loss=1.776326 Batch=779, step=13980, lr=0.142000, batch loss=0.197170, epoch loss=1.973496 Batch=839, step=14040, lr=0.141500, batch loss=0.184209, epoch loss=2.157706 Batch=899, step=14100, lr=0.141250, batch loss=0.160696, epoch loss=2.318402 Batch=959, step=14160, lr=0.141250, batch loss=0.152125, epoch loss=2.470526 Batch=1019, step=14220, lr=0.141000, batch loss=0.336793, epoch loss=2.807319 Batch=1079, step=14280, lr=0.140750, batch loss=0.076237, epoch loss=2.883557 Batch=1139, step=14340, lr=0.140500, batch loss=0.123790, epoch loss=3.007347 Batch=1199, step=14400, lr=0.140250, batch loss=0.092447, epoch loss=3.099794 Epoch=11, step=14400, lr=0.140250, epoch loss=3.099794 Batch=59, step=14460, lr=0.140000, batch loss=0.122899, epoch loss=0.122899 Batch=119, step=14520, lr=0.139750, batch loss=0.108194, epoch loss=0.231093 Batch=179, step=14580, lr=0.139500, batch loss=0.107891, epoch loss=0.338985 Batch=239, step=14640, lr=0.139250, batch loss=0.140668, epoch loss=0.479652 Batch=299, step=14700, lr=0.139000, batch loss=0.067267, epoch loss=0.546919 Batch=359, step=14760, lr=0.138750, batch loss=0.110575, epoch loss=0.657495 Batch=419, step=14820, lr=0.138500, batch loss=0.114787, epoch loss=0.772282 Batch=479, step=14880, lr=0.138250, batch loss=0.089467, epoch loss=0.861749 Batch=539, step=14940, lr=0.138000, batch loss=0.089633, epoch loss=0.951382 Batch=599, step=15000, lr=0.137750, batch loss=0.084558, epoch loss=1.035940 Batch=659, step=15060, lr=0.137500, batch loss=0.136132, epoch loss=1.172072 Batch=719, step=15120, lr=0.137250, batch loss=0.171234, epoch loss=1.343306 Batch=779, step=15180, lr=0.137000, batch loss=0.309106, epoch loss=1.652413 Batch=839, step=15240, lr=0.136750, batch loss=0.133239, epoch loss=1.785652 Batch=899, step=15300, lr=0.136500, batch loss=0.114172, epoch loss=1.899824 Batch=959, step=15360, lr=0.136250, batch loss=0.095347, epoch loss=1.995171 Batch=1019, step=15420, lr=0.136000, batch loss=0.162079, epoch loss=2.157250 Batch=1079, step=15480, lr=0.135750, batch loss=0.045314, epoch loss=2.202564 Batch=1139, step=15540, lr=0.135500, batch loss=0.097955, epoch loss=2.300519 Batch=1199, step=15600, lr=0.135250, batch loss=0.061968, epoch loss=2.362487 Epoch=12, step=15600, lr=0.135250, epoch loss=2.362487 Batch=59, step=15660, lr=0.135000, batch loss=0.078243, epoch loss=0.078243 Batch=119, step=15720, lr=0.134750, batch loss=0.118812, epoch loss=0.197055 Batch=179, step=15780, lr=0.134500, batch loss=0.092177, epoch loss=0.289232 Batch=239, step=15840, lr=0.134250, batch loss=0.094657, epoch loss=0.383889 Batch=299, step=15900, lr=0.134000, batch loss=0.039113, epoch loss=0.423003 Batch=359, step=15960, lr=0.133750, batch loss=0.081352, epoch loss=0.504355 Batch=419, step=16020, lr=0.133500, batch loss=0.081845, epoch loss=0.586200 Batch=479, step=16080, lr=0.133250, batch loss=0.071547, epoch loss=0.657747 Batch=539, step=16140, lr=0.133000, batch loss=0.048377, epoch loss=0.706124 Batch=599, step=16200, lr=0.132750, batch loss=0.097068, epoch loss=0.803192 Batch=659, step=16260, lr=0.132500, batch loss=0.077554, epoch loss=0.880746 Batch=719, step=16320, lr=0.132250, batch loss=0.080044, epoch loss=0.960790 Batch=779, step=16380, lr=0.132000, batch loss=0.106901, epoch loss=1.067691 Batch=839, step=16440, lr=0.131750, batch loss=0.125918, epoch loss=1.193609 Batch=899, step=16500, lr=0.131250, batch loss=0.151443, epoch loss=1.345052 Batch=959, step=16560, lr=0.131000, batch loss=0.045383, epoch loss=1.390435 Batch=1019, step=16620, lr=0.131000, batch loss=0.115398, epoch loss=1.505833 Batch=1079, step=16680, lr=0.130750, batch loss=0.020114, epoch loss=1.525947 Batch=1139, step=16740, lr=0.130500, batch loss=0.045886, epoch loss=1.571833 Batch=1199, step=16800, lr=0.130250, batch loss=0.025448, epoch loss=1.597281 Epoch=13, step=16800, lr=0.130250, epoch loss=1.597281 Batch=59, step=16860, lr=0.130000, batch loss=0.039998, epoch loss=0.039998 Batch=119, step=16920, lr=0.129500, batch loss=0.079133, epoch loss=0.119130 Batch=179, step=16980, lr=0.129500, batch loss=0.059134, epoch loss=0.178264 Batch=239, step=17040, lr=0.129250, batch loss=0.060652, epoch loss=0.238916 Batch=299, step=17100, lr=0.129000, batch loss=0.018582, epoch loss=0.257498 Batch=359, step=17160, lr=0.128750, batch loss=0.045718, epoch loss=0.303217 Batch=419, step=17220, lr=0.128500, batch loss=0.046544, epoch loss=0.349761 Batch=479, step=17280, lr=0.128250, batch loss=0.030346, epoch loss=0.380106 Batch=539, step=17340, lr=0.128000, batch loss=0.056091, epoch loss=0.436198 Batch=599, step=17400, lr=0.127750, batch loss=0.034036, epoch loss=0.470233 Batch=659, step=17460, lr=0.127500, batch loss=0.046520, epoch loss=0.516753 Batch=719, step=17520, lr=0.127250, batch loss=0.040338, epoch loss=0.557091 Batch=779, step=17580, lr=0.127000, batch loss=0.069043, epoch loss=0.626134 Batch=839, step=17640, lr=0.126750, batch loss=0.089188, epoch loss=0.715322 Batch=899, step=17700, lr=0.126500, batch loss=0.120264, epoch loss=0.835586 Batch=959, step=17760, lr=0.126250, batch loss=0.029208, epoch loss=0.864794 Batch=1019, step=17820, lr=0.126000, batch loss=0.047841, epoch loss=0.912635 Batch=1079, step=17880, lr=0.125750, batch loss=0.013898, epoch loss=0.926533 Batch=1139, step=17940, lr=0.125500, batch loss=0.032202, epoch loss=0.958735 Batch=1199, step=18000, lr=0.125250, batch loss=0.015098, epoch loss=0.973833 Epoch=14, step=18000, lr=0.125250, epoch loss=0.973833 Batch=59, step=18060, lr=0.125000, batch loss=0.012722, epoch loss=0.012722 Batch=119, step=18120, lr=0.124750, batch loss=0.033628, epoch loss=0.046351 Batch=179, step=18180, lr=0.124500, batch loss=0.099353, epoch loss=0.145703 Batch=239, step=18240, lr=0.124250, batch loss=0.049763, epoch loss=0.195466 Batch=299, step=18300, lr=0.124000, batch loss=0.014301, epoch loss=0.209767 Batch=359, step=18360, lr=0.123750, batch loss=0.044714, epoch loss=0.254481 Batch=419, step=18420, lr=0.123500, batch loss=0.033544, epoch loss=0.288025 Batch=479, step=18480, lr=0.123250, batch loss=0.015939, epoch loss=0.303964 Batch=539, step=18540, lr=0.123000, batch loss=0.022624, epoch loss=0.326588 Batch=599, step=18600, lr=0.122750, batch loss=0.024440, epoch loss=0.351028 Batch=659, step=18660, lr=0.122500, batch loss=0.031375, epoch loss=0.382403 Batch=719, step=18720, lr=0.122250, batch loss=0.042180, epoch loss=0.424583 Batch=779, step=18780, lr=0.122000, batch loss=0.100526, epoch loss=0.525109 Batch=839, step=18840, lr=0.121750, batch loss=0.059811, epoch loss=0.584920 Batch=899, step=18900, lr=0.121500, batch loss=0.077396, epoch loss=0.662317 Batch=959, step=18960, lr=0.121250, batch loss=0.014467, epoch loss=0.676784 Batch=1019, step=19020, lr=0.121000, batch loss=0.018666, epoch loss=0.695450 Batch=1079, step=19080, lr=0.120750, batch loss=0.003567, epoch loss=0.699017 Batch=1139, step=19140, lr=0.120500, batch loss=0.021184, epoch loss=0.720201 Batch=1199, step=19200, lr=0.120250, batch loss=0.008715, epoch loss=0.728916 Epoch=15, step=19200, lr=0.120250, epoch loss=0.728916 Batch=59, step=19260, lr=0.120000, batch loss=0.004068, epoch loss=0.004068 Batch=119, step=19320, lr=0.119750, batch loss=0.014683, epoch loss=0.018752 Batch=179, step=19380, lr=0.119500, batch loss=0.032083, epoch loss=0.050835 Batch=239, step=19440, lr=0.119250, batch loss=0.020562, epoch loss=0.071397 Batch=299, step=19500, lr=0.119000, batch loss=0.006121, epoch loss=0.077519 Batch=359, step=19560, lr=0.118750, batch loss=0.016878, epoch loss=0.094397 Batch=419, step=19620, lr=0.118500, batch loss=0.019423, epoch loss=0.113820 Batch=479, step=19680, lr=0.118250, batch loss=0.009775, epoch loss=0.123595 Batch=539, step=19740, lr=0.118000, batch loss=0.019992, epoch loss=0.143587 Batch=599, step=19800, lr=0.117750, batch loss=0.019694, epoch loss=0.163281 Batch=659, step=19860, lr=0.117500, batch loss=0.020528, epoch loss=0.183809 Batch=719, step=19920, lr=0.117250, batch loss=0.015380, epoch loss=0.199190 Batch=779, step=19980, lr=0.117000, batch loss=0.018449, epoch loss=0.217639 Batch=839, step=20040, lr=0.116500, batch loss=0.031488, epoch loss=0.249127 Batch=899, step=20100, lr=0.116250, batch loss=0.028945, epoch loss=0.278072 Batch=959, step=20160, lr=0.116250, batch loss=0.011828, epoch loss=0.289900 Batch=1019, step=20220, lr=0.116000, batch loss=0.014096, epoch loss=0.303996 Batch=1079, step=20280, lr=0.115750, batch loss=0.005536, epoch loss=0.309532 Batch=1139, step=20340, lr=0.115500, batch loss=0.018627, epoch loss=0.328158 Batch=1199, step=20400, lr=0.115250, batch loss=0.007594, epoch loss=0.335752 Epoch=16, step=20400, lr=0.115250, epoch loss=0.335752 Batch=59, step=20460, lr=0.115000, batch loss=0.003485, epoch loss=0.003485 Batch=119, step=20520, lr=0.114750, batch loss=0.009367, epoch loss=0.012852 Batch=179, step=20580, lr=0.114500, batch loss=0.020549, epoch loss=0.033401 Batch=239, step=20640, lr=0.114000, batch loss=0.019935, epoch loss=0.053336 Batch=299, step=20700, lr=0.114000, batch loss=0.008218, epoch loss=0.061554 Batch=359, step=20760, lr=0.113750, batch loss=0.014194, epoch loss=0.075749 Batch=419, step=20820, lr=0.113500, batch loss=0.013982, epoch loss=0.089731 Batch=479, step=20880, lr=0.113250, batch loss=0.003214, epoch loss=0.092945 Batch=539, step=20940, lr=0.113000, batch loss=0.018582, epoch loss=0.111527 Batch=599, step=21000, lr=0.112750, batch loss=0.020814, epoch loss=0.132342 Batch=659, step=21060, lr=0.112500, batch loss=0.014199, epoch loss=0.146541 Batch=719, step=21120, lr=0.112250, batch loss=0.048598, epoch loss=0.195138 Batch=779, step=21180, lr=0.112000, batch loss=0.071101, epoch loss=0.266239 Batch=839, step=21240, lr=0.111750, batch loss=0.025260, epoch loss=0.291500 Batch=899, step=21300, lr=0.111500, batch loss=0.029666, epoch loss=0.321166 Batch=959, step=21360, lr=0.111250, batch loss=0.010666, epoch loss=0.331832 Batch=1019, step=21420, lr=0.111000, batch loss=0.012831, epoch loss=0.344662 Batch=1079, step=21480, lr=0.110750, batch loss=0.001904, epoch loss=0.346566 Batch=1139, step=21540, lr=0.110500, batch loss=0.012663, epoch loss=0.359229 Batch=1199, step=21600, lr=0.110250, batch loss=0.005111, epoch loss=0.364340 Epoch=17, step=21600, lr=0.110250, epoch loss=0.364340 Batch=59, step=21660, lr=0.110000, batch loss=0.002499, epoch loss=0.002499 Batch=119, step=21720, lr=0.109750, batch loss=0.006563, epoch loss=0.009062 Batch=179, step=21780, lr=0.109500, batch loss=0.013040, epoch loss=0.022102 Batch=239, step=21840, lr=0.109000, batch loss=0.010397, epoch loss=0.032499 Batch=299, step=21900, lr=0.109000, batch loss=0.001582, epoch loss=0.034080 Batch=359, step=21960, lr=0.108750, batch loss=0.011114, epoch loss=0.045195 Batch=419, step=22020, lr=0.108500, batch loss=0.011828, epoch loss=0.057022 Batch=479, step=22080, lr=0.108250, batch loss=0.003513, epoch loss=0.060536 Batch=539, step=22140, lr=0.108000, batch loss=0.015985, epoch loss=0.076521 Batch=599, step=22200, lr=0.107750, batch loss=0.017265, epoch loss=0.093786 Batch=659, step=22260, lr=0.107500, batch loss=0.015238, epoch loss=0.109024 Batch=719, step=22320, lr=0.107250, batch loss=0.028549, epoch loss=0.137573 Batch=779, step=22380, lr=0.107000, batch loss=0.035007, epoch loss=0.172580 Batch=839, step=22440, lr=0.106750, batch loss=0.025026, epoch loss=0.197606 Batch=899, step=22500, lr=0.106500, batch loss=0.029769, epoch loss=0.227375 Batch=959, step=22560, lr=0.106250, batch loss=0.008903, epoch loss=0.236278 Batch=1019, step=22620, lr=0.106000, batch loss=0.009881, epoch loss=0.246159 Batch=1079, step=22680, lr=0.105750, batch loss=0.001036, epoch loss=0.247195 Batch=1139, step=22740, lr=0.105500, batch loss=0.011311, epoch loss=0.258506 Batch=1199, step=22800, lr=0.105250, batch loss=0.004845, epoch loss=0.263351 Epoch=18, step=22800, lr=0.105250, epoch loss=0.263351 Batch=59, step=22860, lr=0.105000, batch loss=0.001779, epoch loss=0.001779 Batch=119, step=22920, lr=0.104750, batch loss=0.005424, epoch loss=0.007203 Batch=179, step=22980, lr=0.104500, batch loss=0.010955, epoch loss=0.018158 Batch=239, step=23040, lr=0.104250, batch loss=0.008722, epoch loss=0.026880 Batch=299, step=23100, lr=0.104000, batch loss=0.008114, epoch loss=0.034994 Batch=359, step=23160, lr=0.103750, batch loss=0.011649, epoch loss=0.046642 Batch=419, step=23220, lr=0.103500, batch loss=0.010749, epoch loss=0.057391 Batch=479, step=23280, lr=0.103250, batch loss=0.002412, epoch loss=0.059803 Batch=539, step=23340, lr=0.103000, batch loss=0.016900, epoch loss=0.076702 Batch=599, step=23400, lr=0.102750, batch loss=0.013921, epoch loss=0.090623 Batch=659, step=23460, lr=0.102500, batch loss=0.012151, epoch loss=0.102774 Batch=719, step=23520, lr=0.102250, batch loss=0.017367, epoch loss=0.120141 Batch=779, step=23580, lr=0.102000, batch loss=0.019120, epoch loss=0.139260 Batch=839, step=23640, lr=0.101750, batch loss=0.027196, epoch loss=0.166456 Batch=899, step=23700, lr=0.101500, batch loss=0.022132, epoch loss=0.188588 Batch=959, step=23760, lr=0.101250, batch loss=0.007949, epoch loss=0.196536 Batch=1019, step=23820, lr=0.101000, batch loss=0.006677, epoch loss=0.203214 Batch=1079, step=23880, lr=0.100750, batch loss=0.002188, epoch loss=0.205401 Batch=1139, step=23940, lr=0.100500, batch loss=0.008525, epoch loss=0.213926 Batch=1199, step=24000, lr=0.100250, batch loss=0.004754, epoch loss=0.218680 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218680 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:35.50 ---> saved as "3dd19277082d8062bb6b02145b881a2378423cf60ca29ba770fe744a37e74d3c" Job succeeded 2025-05-10 12:35.51: Job succeeded