2025-05-13 09:20.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (3718ebe9309e6ac813c55f036a309225294304ef) (linux-x86_64:debian-12-5.2_opam-2.3) 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 3718ebe9 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 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.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-13 09:20.24: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-2f9e463b934c3596793f881f51cf211b" 2025-05-13 09:20.24: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 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.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-13 09:20.24: Waiting for resource in pool OCluster 2025-05-13 09:20.24: Waiting for worker… 2025-05-13 09:20.24: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 3718ebe9 Bug fix pp_array_offset (AI slop) (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: Verifying Checksum 9cdcd98c6ce0: Download complete 9cdcd98c6ce0: Pull complete Digest: sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 Status: Downloaded newer image for ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1 2025-05-13 09:20.26 ---> 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")) 2025-05-13 09:20.26 ---> 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. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [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 2025-05-13 09:20.26 ---> using "dd0dd0c6c175495539e514d9b8eb3a5c8c54df3004aef3012bd9510a35431074" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-05-13 09:20.26 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-13 09:20.26 ---> 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 34a3fc46c3..0d013e603b master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-13 09:20.26 ---> using "8fae668f01201e0c07b781e1807b1c0f80497b917ca0e866a96102198ec7eecc" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-13 09:20.26 ---> using "ac66bd279051eea174c8ff38b22abfd7b5917f1f58b5f71d7c3712ff6d23b0cd" 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) 2025-05-13 09:20.26 ---> using "3211f3facbaed203a239a213126041642fcc42dd51b67e05aeff49b7d439e7dd" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-13 09:20.26 ---> using "6f73b58b50d0772dc1e6ddbacfa8a2591c10c3ceb483c5cda8127ace02db4fa8" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 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.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [258 kB] - Fetched 361 kB in 10s (34.7 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) ... 2025-05-13 09:20.26 ---> using "7fc6d15d4b16140a991f829996805d1f2961e3d739e2419cb2877ee2825507ae" 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 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - 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 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> installed ocamlfind.1.9.8 -> retrieved ppxlib_jane.v0.17.0 (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppx_minidebug.2.2.0 (https://github.com/lukstafi/ppx_minidebug/archive/refs/tags/2.2.0.tar.gz) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> installed ocamlbuild.0.16.1 -> retrieved saturn_lockfree.0.5.0 (https://github.com/ocaml-multicore/saturn/releases/download/0.5.0/saturn-0.5.0.tbz) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved thread-local-storage.0.2 (https://github.com/c-cube/thread-local-storage/releases/download/v0.2/thread-local-storage-0.2.tbz) -> retrieved uucp.16.0.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (https://github.com/c-cube/printbox/releases/download/v0.12/printbox-0.12.tbz) -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed mdx.2.5.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppx_sexp_conv.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-13 09:20.26 ---> using "b3d434b3f5dace0857c6f02fa64fe35e993c7d24e6b4eab9a85af0bdd387774a" from cache /src: (copy (src .) (dst /src)) 2025-05-13 09:20.26 ---> saved as "1e85c6ebb07535c53fd4e5251bb312897aceb8fbf3820b2fb13309ab8c72278e" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8515e6d34b7ff912b782514b737cd39a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/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=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161250, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190451, epoch loss=3.817829 Batch=1019, step=9420, lr=0.161000, batch loss=0.311857, epoch loss=4.129686 Batch=1079, step=9480, lr=0.160750, batch loss=0.191477, epoch loss=4.321162 Batch=1139, step=9540, lr=0.160500, batch loss=0.215839, epoch loss=4.537001 Batch=1199, step=9600, lr=0.160250, batch loss=0.165626, epoch loss=4.702627 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702627 Batch=59, step=9660, lr=0.160000, batch loss=0.197157, epoch loss=0.197157 Batch=119, step=9720, lr=0.159750, batch loss=0.165512, epoch loss=0.362669 Batch=179, step=9780, lr=0.159500, batch loss=0.179293, epoch loss=0.541962 Batch=239, step=9840, lr=0.159250, batch loss=0.263806, epoch loss=0.805768 Batch=299, step=9900, lr=0.159000, batch loss=0.182262, epoch loss=0.988030 Batch=359, step=9960, lr=0.158750, batch loss=0.240777, epoch loss=1.228807 Batch=419, step=10020, lr=0.158500, batch loss=0.232925, epoch loss=1.461733 Batch=479, step=10080, lr=0.158250, batch loss=0.213024, epoch loss=1.674757 Batch=539, step=10140, lr=0.158000, batch loss=0.170729, epoch loss=1.845486 Batch=599, step=10200, lr=0.157750, batch loss=0.200203, epoch loss=2.045689 Batch=659, step=10260, lr=0.157500, batch loss=0.283064, epoch loss=2.328753 Batch=719, step=10320, lr=0.157250, batch loss=0.288726, epoch loss=2.617479 Batch=779, step=10380, lr=0.157000, batch loss=0.296856, epoch loss=2.914335 Batch=839, step=10440, lr=0.156750, batch loss=0.266764, epoch loss=3.181099 Batch=899, step=10500, lr=0.156500, batch loss=0.243464, epoch loss=3.424562 Batch=959, step=10560, lr=0.156250, batch loss=0.195564, epoch loss=3.620126 Batch=1019, step=10620, lr=0.156000, batch loss=0.284004, epoch loss=3.904130 Batch=1079, step=10680, lr=0.155750, batch loss=0.171405, epoch loss=4.075535 Batch=1139, step=10740, lr=0.155500, batch loss=0.203883, epoch loss=4.279418 Batch=1199, step=10800, lr=0.155250, batch loss=0.156225, epoch loss=4.435644 Epoch=8, step=10800, lr=0.155250, epoch loss=4.435644 Batch=59, step=10860, lr=0.155000, batch loss=0.178789, epoch loss=0.178789 Batch=119, step=10920, lr=0.154750, batch loss=0.151391, epoch loss=0.330179 Batch=179, step=10980, lr=0.154500, batch loss=0.167494, epoch loss=0.497673 Batch=239, step=11040, lr=0.154250, batch loss=0.251292, epoch loss=0.748965 Batch=299, step=11100, lr=0.154000, batch loss=0.163145, epoch loss=0.912110 Batch=359, step=11160, lr=0.153750, batch loss=0.225473, epoch loss=1.137582 Batch=419, step=11220, lr=0.153500, batch loss=0.227132, epoch loss=1.364714 Batch=479, step=11280, lr=0.153250, batch loss=0.203860, epoch loss=1.568574 Batch=539, step=11340, lr=0.153000, batch loss=0.157961, epoch loss=1.726536 Batch=599, step=11400, lr=0.152750, batch loss=0.180887, epoch loss=1.907423 Batch=659, step=11460, lr=0.152500, batch loss=0.262406, epoch loss=2.169829 Batch=719, step=11520, lr=0.152250, batch loss=0.255290, epoch loss=2.425120 Batch=779, step=11580, lr=0.152000, batch loss=0.272205, epoch loss=2.697325 Batch=839, step=11640, lr=0.151750, batch loss=0.255248, epoch loss=2.952572 Batch=899, step=11700, lr=0.151500, batch loss=0.217377, epoch loss=3.169949 Batch=959, step=11760, lr=0.151250, batch loss=0.176292, epoch loss=3.346241 Batch=1019, step=11820, lr=0.151000, batch loss=0.267059, epoch loss=3.613300 Batch=1079, step=11880, lr=0.150750, batch loss=0.150302, epoch loss=3.763602 Batch=1139, step=11940, lr=0.150500, batch loss=0.185852, epoch loss=3.949454 Batch=1199, step=12000, lr=0.150250, batch loss=0.139275, epoch loss=4.088729 Epoch=9, step=12000, lr=0.150250, epoch loss=4.088729 Batch=59, step=12060, lr=0.150000, batch loss=0.157990, epoch loss=0.157990 Batch=119, step=12120, lr=0.149750, batch loss=0.127891, epoch loss=0.285882 Batch=179, step=12180, lr=0.149500, batch loss=0.151776, epoch loss=0.437658 Batch=239, step=12240, lr=0.149250, batch loss=0.221945, epoch loss=0.659603 Batch=299, step=12300, lr=0.149000, batch loss=0.143590, epoch loss=0.803193 Batch=359, step=12360, lr=0.148750, batch loss=0.196908, epoch loss=1.000101 Batch=419, step=12420, lr=0.148500, batch loss=0.208178, epoch loss=1.208280 Batch=479, step=12480, lr=0.148250, batch loss=0.177163, epoch loss=1.385443 Batch=539, step=12540, lr=0.148000, batch loss=0.143687, epoch loss=1.529130 Batch=599, step=12600, lr=0.147750, batch loss=0.153634, epoch loss=1.682763 Batch=659, step=12660, lr=0.147500, batch loss=0.235081, epoch loss=1.917845 Batch=719, step=12720, lr=0.147250, batch loss=0.233394, epoch loss=2.151238 Batch=779, step=12780, lr=0.147000, batch loss=0.254675, epoch loss=2.405914 Batch=839, step=12840, lr=0.146750, batch loss=0.235098, epoch loss=2.641011 Batch=899, step=12900, lr=0.146500, batch loss=0.221519, epoch loss=2.862531 Batch=959, step=12960, lr=0.146250, batch loss=0.145219, epoch loss=3.007750 Batch=1019, step=13020, lr=0.146000, batch loss=0.242077, epoch loss=3.249827 Batch=1079, step=13080, lr=0.145750, batch loss=0.112937, epoch loss=3.362764 Batch=1139, step=13140, lr=0.145500, batch loss=0.147976, epoch loss=3.510740 Batch=1199, step=13200, lr=0.145250, batch loss=0.116483, epoch loss=3.627223 Epoch=10, step=13200, lr=0.145250, epoch loss=3.627223 Batch=59, step=13260, lr=0.145000, batch loss=0.137973, epoch loss=0.137973 Batch=119, step=13320, lr=0.144750, batch loss=0.122240, epoch loss=0.260212 Batch=179, step=13380, lr=0.144500, batch loss=0.128646, epoch loss=0.388858 Batch=239, step=13440, lr=0.144250, batch loss=0.192953, epoch loss=0.581811 Batch=299, step=13500, lr=0.144000, batch loss=0.117327, epoch loss=0.699138 Batch=359, step=13560, lr=0.143750, batch loss=0.160564, epoch loss=0.859702 Batch=419, step=13620, lr=0.143500, batch loss=0.160997, epoch loss=1.020699 Batch=479, step=13680, lr=0.143250, batch loss=0.144720, epoch loss=1.165419 Batch=539, step=13740, lr=0.143000, batch loss=0.118500, epoch loss=1.283919 Batch=599, step=13800, lr=0.142750, batch loss=0.119989, epoch loss=1.403907 Batch=659, step=13860, lr=0.142500, batch loss=0.175587, epoch loss=1.579494 Batch=719, step=13920, lr=0.142250, batch loss=0.177817, epoch loss=1.757311 Batch=779, step=13980, lr=0.142000, batch loss=0.197010, epoch loss=1.954321 Batch=839, step=14040, lr=0.141750, batch loss=0.187161, epoch loss=2.141482 Batch=899, step=14100, lr=0.141500, batch loss=0.157426, epoch loss=2.298907 Batch=959, step=14160, lr=0.141250, batch loss=0.134051, epoch loss=2.432958 Batch=1019, step=14220, lr=0.141000, batch loss=0.265493, epoch loss=2.698451 Batch=1079, step=14280, lr=0.140750, batch loss=0.086726, epoch loss=2.785177 Batch=1139, step=14340, lr=0.140500, batch loss=0.130784, epoch loss=2.915961 Batch=1199, step=14400, lr=0.140250, batch loss=0.091472, epoch loss=3.007433 Epoch=11, step=14400, lr=0.140250, epoch loss=3.007433 Batch=59, step=14460, lr=0.140000, batch loss=0.120255, epoch loss=0.120255 Batch=119, step=14520, lr=0.139750, batch loss=0.115438, epoch loss=0.235693 Batch=179, step=14580, lr=0.139500, batch loss=0.106939, epoch loss=0.342632 Batch=239, step=14640, lr=0.139250, batch loss=0.138074, epoch loss=0.480706 Batch=299, step=14700, lr=0.139000, batch loss=0.067290, epoch loss=0.547996 Batch=359, step=14760, lr=0.138750, batch loss=0.110099, epoch loss=0.658095 Batch=419, step=14820, lr=0.138500, batch loss=0.120082, epoch loss=0.778176 Batch=479, step=14880, lr=0.138250, batch loss=0.107740, epoch loss=0.885916 Batch=539, step=14940, lr=0.138000, batch loss=0.115182, epoch loss=1.001098 Batch=599, step=15000, lr=0.137750, batch loss=0.085161, epoch loss=1.086259 Batch=659, step=15060, lr=0.137500, batch loss=0.130559, epoch loss=1.216818 Batch=719, step=15120, lr=0.137250, batch loss=0.117882, epoch loss=1.334700 Batch=779, step=15180, lr=0.137000, batch loss=0.118722, epoch loss=1.453422 Batch=839, step=15240, lr=0.136750, batch loss=0.127219, epoch loss=1.580641 Batch=899, step=15300, lr=0.136500, batch loss=0.122932, epoch loss=1.703573 Batch=959, step=15360, lr=0.136250, batch loss=0.129813, epoch loss=1.833386 Batch=1019, step=15420, lr=0.136000, batch loss=0.412260, epoch loss=2.245646 Batch=1079, step=15480, lr=0.135750, batch loss=0.038492, epoch loss=2.284138 Batch=1139, step=15540, lr=0.135500, batch loss=0.077363, epoch loss=2.361501 Batch=1199, step=15600, lr=0.135250, batch loss=0.056883, epoch loss=2.418385 Epoch=12, step=15600, lr=0.135250, epoch loss=2.418385 Batch=59, step=15660, lr=0.135000, batch loss=0.078188, epoch loss=0.078188 Batch=119, step=15720, lr=0.134750, batch loss=0.097901, epoch loss=0.176088 Batch=179, step=15780, lr=0.134500, batch loss=0.089558, epoch loss=0.265647 Batch=239, step=15840, lr=0.134250, batch loss=0.092812, epoch loss=0.358458 Batch=299, step=15900, lr=0.134000, batch loss=0.040547, epoch loss=0.399006 Batch=359, step=15960, lr=0.133750, batch loss=0.074412, epoch loss=0.473418 Batch=419, step=16020, lr=0.133500, batch loss=0.076436, epoch loss=0.549854 Batch=479, step=16080, lr=0.133250, batch loss=0.049686, epoch loss=0.599540 Batch=539, step=16140, lr=0.133000, batch loss=0.088292, epoch loss=0.687833 Batch=599, step=16200, lr=0.132750, batch loss=0.180492, epoch loss=0.868325 Batch=659, step=16260, lr=0.132500, batch loss=0.101354, epoch loss=0.969679 Batch=719, step=16320, lr=0.132250, batch loss=0.116257, epoch loss=1.085936 Batch=779, step=16380, lr=0.132000, batch loss=0.263592, epoch loss=1.349528 Batch=839, step=16440, lr=0.131750, batch loss=0.090040, epoch loss=1.439568 Batch=899, step=16500, lr=0.131500, batch loss=0.075146, epoch loss=1.514714 Batch=959, step=16560, lr=0.131250, batch loss=0.032667, epoch loss=1.547380 Batch=1019, step=16620, lr=0.131000, batch loss=0.067888, epoch loss=1.615268 Batch=1079, step=16680, lr=0.130750, batch loss=0.046525, epoch loss=1.661793 Batch=1139, step=16740, lr=0.130500, batch loss=0.076713, epoch loss=1.738506 Batch=1199, step=16800, lr=0.130250, batch loss=0.033251, epoch loss=1.771757 Epoch=13, step=16800, lr=0.130250, epoch loss=1.771757 Batch=59, step=16860, lr=0.130000, batch loss=0.036902, epoch loss=0.036902 Batch=119, step=16920, lr=0.129750, batch loss=0.043145, epoch loss=0.080046 Batch=179, step=16980, lr=0.129500, batch loss=0.045177, epoch loss=0.125223 Batch=239, step=17040, lr=0.129250, batch loss=0.061689, epoch loss=0.186912 Batch=299, step=17100, lr=0.129000, batch loss=0.022526, epoch loss=0.209438 Batch=359, step=17160, lr=0.128750, batch loss=0.044086, epoch loss=0.253524 Batch=419, step=17220, lr=0.128500, batch loss=0.065186, epoch loss=0.318710 Batch=479, step=17280, lr=0.128250, batch loss=0.024044, epoch loss=0.342754 Batch=539, step=17340, lr=0.128000, batch loss=0.028477, epoch loss=0.371231 Batch=599, step=17400, lr=0.127750, batch loss=0.036063, epoch loss=0.407294 Batch=659, step=17460, lr=0.127500, batch loss=0.049806, epoch loss=0.457100 Batch=719, step=17520, lr=0.127250, batch loss=0.059118, epoch loss=0.516219 Batch=779, step=17580, lr=0.127000, batch loss=0.070052, epoch loss=0.586271 Batch=839, step=17640, lr=0.126750, batch loss=0.113321, epoch loss=0.699592 Batch=899, step=17700, lr=0.126500, batch loss=0.055557, epoch loss=0.755149 Batch=959, step=17760, lr=0.126250, batch loss=0.018066, epoch loss=0.773215 Batch=1019, step=17820, lr=0.126000, batch loss=0.027748, epoch loss=0.800963 Batch=1079, step=17880, lr=0.125750, batch loss=0.021551, epoch loss=0.822514 Batch=1139, step=17940, lr=0.125500, batch loss=0.046255, epoch loss=0.868769 Batch=1199, step=18000, lr=0.125250, batch loss=0.019262, epoch loss=0.888031 Epoch=14, step=18000, lr=0.125250, epoch loss=0.888031 Batch=59, step=18060, lr=0.125000, batch loss=0.011620, epoch loss=0.011620 Batch=119, step=18120, lr=0.124750, batch loss=0.021079, epoch loss=0.032699 Batch=179, step=18180, lr=0.124500, batch loss=0.030638, epoch loss=0.063337 Batch=239, step=18240, lr=0.124250, batch loss=0.034500, epoch loss=0.097837 Batch=299, step=18300, lr=0.124000, batch loss=0.009137, epoch loss=0.106974 Batch=359, step=18360, lr=0.123750, batch loss=0.023411, epoch loss=0.130385 Batch=419, step=18420, lr=0.123500, batch loss=0.028309, epoch loss=0.158695 Batch=479, step=18480, lr=0.123250, batch loss=0.023456, epoch loss=0.182151 Batch=539, step=18540, lr=0.123000, batch loss=0.048958, epoch loss=0.231109 Batch=599, step=18600, lr=0.122750, batch loss=0.025655, epoch loss=0.256764 Batch=659, step=18660, lr=0.122500, batch loss=0.034359, epoch loss=0.291123 Batch=719, step=18720, lr=0.122250, batch loss=0.036588, epoch loss=0.327711 Batch=779, step=18780, lr=0.122000, batch loss=0.091117, epoch loss=0.418827 Batch=839, step=18840, lr=0.121750, batch loss=0.069418, epoch loss=0.488245 Batch=899, step=18900, lr=0.121500, batch loss=0.094245, epoch loss=0.582491 Batch=959, step=18960, lr=0.121250, batch loss=0.018878, epoch loss=0.601369 Batch=1019, step=19020, lr=0.121000, batch loss=0.030409, epoch loss=0.631778 Batch=1079, step=19080, lr=0.120750, batch loss=0.004788, epoch loss=0.636566 Batch=1139, step=19140, lr=0.120500, batch loss=0.019454, epoch loss=0.656021 Batch=1199, step=19200, lr=0.120250, batch loss=0.011837, epoch loss=0.667858 Epoch=15, step=19200, lr=0.120250, epoch loss=0.667858 Batch=59, step=19260, lr=0.120000, batch loss=0.007428, epoch loss=0.007428 Batch=119, step=19320, lr=0.119750, batch loss=0.020765, epoch loss=0.028193 Batch=179, step=19380, lr=0.119500, batch loss=0.067129, epoch loss=0.095322 Batch=239, step=19440, lr=0.119250, batch loss=0.028499, epoch loss=0.123820 Batch=299, step=19500, lr=0.119000, batch loss=0.009104, epoch loss=0.132925 Batch=359, step=19560, lr=0.118750, batch loss=0.025184, epoch loss=0.158108 Batch=419, step=19620, lr=0.118500, batch loss=0.020648, epoch loss=0.178756 Batch=479, step=19680, lr=0.118250, batch loss=0.007039, epoch loss=0.185796 Batch=539, step=19740, lr=0.118000, batch loss=0.016412, epoch loss=0.202208 Batch=599, step=19800, lr=0.117750, batch loss=0.023127, epoch loss=0.225335 Batch=659, step=19860, lr=0.117500, batch loss=0.019946, epoch loss=0.245281 Batch=719, step=19920, lr=0.117250, batch loss=0.034089, epoch loss=0.279370 Batch=779, step=19980, lr=0.117000, batch loss=0.057557, epoch loss=0.336927 Batch=839, step=20040, lr=0.116750, batch loss=0.034586, epoch loss=0.371513 Batch=899, step=20100, lr=0.116500, batch loss=0.041035, epoch loss=0.412548 Batch=959, step=20160, lr=0.116250, batch loss=0.011893, epoch loss=0.424441 Batch=1019, step=20220, lr=0.116000, batch loss=0.016907, epoch loss=0.441347 Batch=1079, step=20280, lr=0.115750, batch loss=0.002379, epoch loss=0.443726 Batch=1139, step=20340, lr=0.115500, batch loss=0.014793, epoch loss=0.458519 Batch=1199, step=20400, lr=0.115250, batch loss=0.005496, epoch loss=0.464015 Epoch=16, step=20400, lr=0.115250, epoch loss=0.464015 Batch=59, step=20460, lr=0.115000, batch loss=0.002998, epoch loss=0.002998 Batch=119, step=20520, lr=0.114750, batch loss=0.010150, epoch loss=0.013148 Batch=179, step=20580, lr=0.114500, batch loss=0.026192, epoch loss=0.039341 Batch=239, step=20640, lr=0.114250, batch loss=0.014083, epoch loss=0.053423 Batch=299, step=20700, lr=0.114000, batch loss=0.004002, epoch loss=0.057425 Batch=359, step=20760, lr=0.113750, batch loss=0.013120, epoch loss=0.070545 Batch=419, step=20820, lr=0.113500, batch loss=0.015344, epoch loss=0.085889 Batch=479, step=20880, lr=0.113250, batch loss=0.004024, epoch loss=0.089913 Batch=539, step=20940, lr=0.113000, batch loss=0.016612, epoch loss=0.106526 Batch=599, step=21000, lr=0.112750, batch loss=0.017660, epoch loss=0.124186 Batch=659, step=21060, lr=0.112500, batch loss=0.013960, epoch loss=0.138146 Batch=719, step=21120, lr=0.112250, batch loss=0.029094, epoch loss=0.167240 Batch=779, step=21180, lr=0.112000, batch loss=0.044201, epoch loss=0.211441 Batch=839, step=21240, lr=0.111750, batch loss=0.028613, epoch loss=0.240054 Batch=899, step=21300, lr=0.111500, batch loss=0.033816, epoch loss=0.273870 Batch=959, step=21360, lr=0.111250, batch loss=0.010507, epoch loss=0.284378 Batch=1019, step=21420, lr=0.111000, batch loss=0.012725, epoch loss=0.297102 Batch=1079, step=21480, lr=0.110750, batch loss=0.002732, epoch loss=0.299834 Batch=1139, step=21540, lr=0.110500, batch loss=0.011986, epoch loss=0.311820 Batch=1199, step=21600, lr=0.110250, batch loss=0.005145, epoch loss=0.316965 Epoch=17, step=21600, lr=0.110250, epoch loss=0.316965 Batch=59, step=21660, lr=0.110000, batch loss=0.002555, epoch loss=0.002555 Batch=119, step=21720, lr=0.109750, batch loss=0.006852, epoch loss=0.009407 Batch=179, step=21780, lr=0.109500, batch loss=0.012510, epoch loss=0.021917 Batch=239, step=21840, lr=0.109250, batch loss=0.010097, epoch loss=0.032014 Batch=299, step=21900, lr=0.109000, batch loss=0.012388, epoch loss=0.044402 Batch=359, step=21960, lr=0.108750, batch loss=0.015147, epoch loss=0.059549 Batch=419, step=22020, lr=0.108500, batch loss=0.012514, epoch loss=0.072063 Batch=479, step=22080, lr=0.108250, batch loss=0.002762, epoch loss=0.074825 Batch=539, step=22140, lr=0.108000, batch loss=0.017643, epoch loss=0.092468 Batch=599, step=22200, lr=0.107750, batch loss=0.015741, epoch loss=0.108209 Batch=659, step=22260, lr=0.107500, batch loss=0.011567, epoch loss=0.119776 Batch=719, step=22320, lr=0.107250, batch loss=0.018154, epoch loss=0.137929 Batch=779, step=22380, lr=0.107000, batch loss=0.024387, epoch loss=0.162316 Batch=839, step=22440, lr=0.106750, batch loss=0.027222, epoch loss=0.189539 Batch=899, step=22500, lr=0.106500, batch loss=0.025109, epoch loss=0.214648 Batch=959, step=22560, lr=0.106250, batch loss=0.009564, epoch loss=0.224212 Batch=1019, step=22620, lr=0.106000, batch loss=0.009628, epoch loss=0.233840 Batch=1079, step=22680, lr=0.105750, batch loss=0.001657, epoch loss=0.235497 Batch=1139, step=22740, lr=0.105500, batch loss=0.011046, epoch loss=0.246543 Batch=1199, step=22800, lr=0.105250, batch loss=0.005063, epoch loss=0.251606 Epoch=18, step=22800, lr=0.105250, epoch loss=0.251606 Batch=59, step=22860, lr=0.105000, batch loss=0.002226, epoch loss=0.002226 Batch=119, step=22920, lr=0.104750, batch loss=0.005336, epoch loss=0.007561 Batch=179, step=22980, lr=0.104500, batch loss=0.011951, epoch loss=0.019513 Batch=239, step=23040, lr=0.104250, batch loss=0.008676, epoch loss=0.028189 Batch=299, step=23100, lr=0.104000, batch loss=0.001461, epoch loss=0.029650 Batch=359, step=23160, lr=0.103750, batch loss=0.011833, epoch loss=0.041483 Batch=419, step=23220, lr=0.103500, batch loss=0.010195, epoch loss=0.051678 Batch=479, step=23280, lr=0.103250, batch loss=0.004199, epoch loss=0.055877 Batch=539, step=23340, lr=0.103000, batch loss=0.014597, epoch loss=0.070474 Batch=599, step=23400, lr=0.102750, batch loss=0.014158, epoch loss=0.084632 Batch=659, step=23460, lr=0.102500, batch loss=0.012901, epoch loss=0.097533 Batch=719, step=23520, lr=0.102250, batch loss=0.016351, epoch loss=0.113884 Batch=779, step=23580, lr=0.102000, batch loss=0.021918, epoch loss=0.135802 Batch=839, step=23640, lr=0.101750, batch loss=0.025757, epoch loss=0.161559 Batch=899, step=23700, lr=0.101500, batch loss=0.021620, epoch loss=0.183179 Batch=959, step=23760, lr=0.101250, batch loss=0.008307, epoch loss=0.191486 Batch=1019, step=23820, lr=0.101000, batch loss=0.008180, epoch loss=0.199666 Batch=1079, step=23880, lr=0.100750, batch loss=0.001121, epoch loss=0.200787 Batch=1139, step=23940, lr=0.100500, batch loss=0.009059, epoch loss=0.209846 Batch=1199, step=24000, lr=0.100250, batch loss=0.004695, epoch loss=0.214541 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214541 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ 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│#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-13 10:20.24: Cancelling: Timeout (60.0 minutes) Job cancelled 2025-05-13 10:20.25: Timeout (60.0 minutes)