2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (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 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 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 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 2025-05-10 12:34.49: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-9f91c19b9fbd6f2838f4b018cdbeb8f7" 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 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 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")) ) 2025-05-10 12:34.49: Waiting for resource in pool OCluster 2025-05-10 12:34.49: Waiting for worker… 2025-05-10 12:34.58: Got resource from pool OCluster Building on doris.caelum.ci.dev All commits already cached HEAD is now at 95dddcae Don't fail if ocannl_config not found (from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1) 2025-05-10 12:34.58 ---> 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 12:34.58 ---> 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 2025-05-10 12:34.58 ---> 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 12:34.58 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:34.58 ---> 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) 2025-05-10 12:34.58 ---> using "8fae668f01201e0c07b781e1807b1c0f80497b917ca0e866a96102198ec7eecc" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:34.58 ---> using "23d5d5664eb0e6e4a48faa163d9ccc721714e8f017b53c6c635103b94ce60f4f" 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 12:34.58 ---> using "8df7702fb086be62ae954ec1a985202e92bd037ce66cf910a55064728bcc5293" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:34.58 ---> using "ecfa981dcd51b630d683cc9b525162117e4fcf72206c4b78acce5dac78e06699" 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 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 1s (428 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 12:34.58 ---> using "305e47f47332a99e2873bb57c794f848e64aaec3b371bae8cbdd7046842a6ea6" 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 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - 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) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed 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 printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> 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 uucp.16.0.0 -> installed printbox-text.0.12 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.0 -> installed printbox-md.0.12 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed printbox-ext-plot.0.12 -> 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 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.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-10 12:34.58 ---> using "66da72b55e9aad2a6931281664de7c132dd44120de531305757e1aa3f798fef3" from cache /src: (copy (src .) (dst /src)) 2025-05-10 12:34.59 ---> saved as "20c90e41f7b87d7f0395b4dda809355047faab4db791a2a61043bdfc63f12d0b" /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/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/56f021b42dda63733be73c1a494e7c61/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1c44092df504cc9b141eeb612af622f7/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/1c44092df504cc9b141eeb612af622f7/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 128)))) @!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=0.178750, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271089, epoch loss=1.408952 Batch=419, step=5220, lr=0.178500, batch loss=0.264069, epoch loss=1.673020 Batch=479, step=5280, lr=0.178250, batch loss=0.239664, epoch loss=1.912684 Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102189 Batch=599, step=5400, lr=0.177750, batch loss=0.230944, epoch loss=2.333132 Batch=659, step=5460, lr=0.177500, batch loss=0.323641, epoch loss=2.656773 Batch=719, step=5520, lr=0.177250, batch loss=0.325801, epoch loss=2.982574 Batch=779, step=5580, lr=0.177000, batch loss=0.343238, epoch loss=3.325812 Batch=839, step=5640, lr=0.176750, batch loss=0.309297, epoch loss=3.635108 Batch=899, step=5700, lr=0.176500, batch loss=0.273232, epoch loss=3.908340 Batch=959, step=5760, lr=0.176250, batch loss=0.214812, epoch loss=4.123152 Batch=1019, step=5820, lr=0.176000, batch loss=0.339309, epoch loss=4.462461 Batch=1079, step=5880, lr=0.175750, batch loss=0.207724, epoch loss=4.670186 Batch=1139, step=5940, lr=0.175500, batch loss=0.240063, epoch loss=4.910249 Batch=1199, step=6000, lr=0.175250, batch loss=0.186874, epoch loss=5.097122 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097122 Batch=59, step=6060, lr=0.175000, batch loss=0.230504, epoch loss=0.230504 Batch=119, step=6120, lr=0.174750, batch loss=0.194324, epoch loss=0.424829 Batch=179, step=6180, lr=0.174500, batch loss=0.201545, epoch loss=0.626374 Batch=239, step=6240, lr=0.174250, batch loss=0.302360, epoch loss=0.928734 Batch=299, step=6300, lr=0.174000, batch loss=0.203967, epoch loss=1.132702 Batch=359, step=6360, lr=0.173750, batch loss=0.266082, epoch loss=1.398784 Batch=419, step=6420, lr=0.173500, batch loss=0.265307, epoch loss=1.664091 Batch=479, step=6480, lr=0.173250, batch loss=0.243305, epoch loss=1.907395 Batch=539, step=6540, lr=0.173000, batch loss=0.192998, epoch loss=2.100393 Batch=599, step=6600, lr=0.172750, batch loss=0.234480, epoch loss=2.334873 Batch=659, step=6660, lr=0.172500, batch loss=0.312116, epoch loss=2.646988 Batch=719, step=6720, lr=0.172250, batch loss=0.314214, epoch loss=2.961203 Batch=779, step=6780, lr=0.172000, batch loss=0.333237, epoch loss=3.294439 Batch=839, step=6840, lr=0.171750, batch loss=0.303746, epoch loss=3.598185 Batch=899, step=6900, lr=0.171500, batch loss=0.268488, epoch loss=3.866673 Batch=959, step=6960, lr=0.171250, batch loss=0.211015, epoch loss=4.077688 Batch=1019, step=7020, lr=0.171000, batch loss=0.329767, epoch loss=4.407455 Batch=1079, step=7080, lr=0.170750, batch loss=0.180629, epoch loss=4.588084 Batch=1139, step=7140, lr=0.170500, batch loss=0.216093, epoch loss=4.804177 Batch=1199, step=7200, lr=0.170250, batch loss=0.185678, epoch loss=4.989855 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989855 Batch=59, step=7260, lr=0.170000, batch loss=0.232492, epoch loss=0.232492 Batch=119, step=7320, lr=0.169750, batch loss=0.184626, epoch loss=0.417118 Batch=179, step=7380, lr=0.169500, batch loss=0.196609, epoch loss=0.613727 Batch=239, step=7440, lr=0.169250, batch loss=0.291687, epoch loss=0.905414 Batch=299, step=7500, lr=0.169000, batch loss=0.200874, epoch loss=1.106288 Batch=359, step=7560, lr=0.168750, batch loss=0.258561, epoch loss=1.364848 Batch=419, step=7620, lr=0.168500, batch loss=0.257357, epoch loss=1.622205 Batch=479, step=7680, lr=0.168250, batch loss=0.235375, epoch loss=1.857580 Batch=539, step=7740, lr=0.168000, batch loss=0.188533, epoch loss=2.046113 Batch=599, step=7800, lr=0.167750, batch loss=0.223235, epoch loss=2.269348 Batch=659, step=7860, lr=0.167500, batch loss=0.306292, epoch loss=2.575641 Batch=719, step=7920, lr=0.167250, batch loss=0.308719, epoch loss=2.884359 Batch=779, step=7980, lr=0.167000, batch loss=0.330614, epoch loss=3.214973 Batch=839, step=8040, lr=0.166750, batch loss=0.292025, epoch loss=3.506997 Batch=899, step=8100, lr=0.166500, batch loss=0.262276, epoch loss=3.769274 Batch=959, step=8160, lr=0.166250, batch loss=0.192443, epoch loss=3.961717 Batch=1019, step=8220, lr=0.166000, batch loss=0.291185, epoch loss=4.252902 Batch=1079, step=8280, lr=0.165750, batch loss=0.184272, epoch loss=4.437174 Batch=1139, step=8340, lr=0.165500, batch loss=0.216320, epoch loss=4.653494 Batch=1199, step=8400, lr=0.165250, batch loss=0.172778, epoch loss=4.826272 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826272 Batch=59, step=8460, lr=0.165000, batch loss=0.212011, epoch loss=0.212011 Batch=119, step=8520, lr=0.164750, batch loss=0.177974, epoch loss=0.389985 Batch=179, step=8580, lr=0.164500, batch loss=0.188659, epoch loss=0.578644 Batch=239, step=8640, lr=0.164250, batch loss=0.278198, epoch loss=0.856843 Batch=299, step=8700, lr=0.164000, batch loss=0.193590, epoch loss=1.050433 Batch=359, step=8760, lr=0.163750, batch loss=0.247287, epoch loss=1.297720 Batch=419, step=8820, lr=0.163500, batch loss=0.245220, epoch loss=1.542940 Batch=479, step=8880, lr=0.163250, batch loss=0.229315, epoch loss=1.772254 Batch=539, step=8940, lr=0.163000, batch loss=0.177507, epoch loss=1.949762 Batch=599, step=9000, lr=0.162750, batch loss=0.217620, epoch loss=2.167381 Batch=659, step=9060, lr=0.162500, batch loss=0.294968, epoch loss=2.462350 Batch=719, step=9120, lr=0.162250, batch loss=0.299589, epoch loss=2.761939 Batch=779, step=9180, lr=0.162000, batch loss=0.316372, epoch loss=3.078311 Batch=839, step=9240, lr=0.161750, batch loss=0.282036, epoch loss=3.360347 Batch=899, step=9300, lr=0.161500, batch loss=0.250604, epoch loss=3.610951 Batch=959, step=9360, lr=0.161250, batch loss=0.198190, epoch loss=3.809141 Batch=1019, step=9420, lr=0.161000, batch loss=0.307229, epoch loss=4.116370 Batch=1079, step=9480, lr=0.160750, batch loss=0.197083, epoch loss=4.313454 Batch=1139, step=9540, lr=0.160500, batch loss=0.213348, epoch loss=4.526802 Batch=1199, step=9600, lr=0.160250, batch loss=0.167158, epoch loss=4.693960 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693960 Batch=59, step=9660, lr=0.160000, batch loss=0.200975, epoch loss=0.200975 Batch=119, step=9720, lr=0.159750, batch loss=0.164876, epoch loss=0.365851 Batch=179, step=9780, lr=0.159500, batch loss=0.178461, epoch loss=0.544312 Batch=239, step=9840, lr=0.159250, batch loss=0.262487, epoch loss=0.806800 Batch=299, step=9900, lr=0.159000, batch loss=0.181482, epoch loss=0.988281 Batch=359, step=9960, lr=0.158750, batch loss=0.241041, epoch loss=1.229323 Batch=419, step=10020, lr=0.158500, batch loss=0.233490, epoch loss=1.462812 Batch=479, step=10080, lr=0.158250, batch loss=0.213437, epoch loss=1.676250 Batch=539, step=10140, lr=0.158000, batch loss=0.172224, epoch loss=1.848474 Batch=599, step=10200, lr=0.157750, batch loss=0.200961, epoch loss=2.049434 Batch=659, step=10260, lr=0.157500, batch loss=0.281312, epoch loss=2.330746 Batch=719, step=10320, lr=0.157250, batch loss=0.286121, epoch loss=2.616867 Batch=779, step=10380, lr=0.157000, batch loss=0.294796, epoch loss=2.911663 Batch=839, step=10440, lr=0.156750, batch loss=0.266074, epoch loss=3.177736 Batch=899, step=10500, lr=0.156500, batch loss=0.244201, epoch loss=3.421937 Batch=959, step=10560, lr=0.156250, batch loss=0.197611, epoch loss=3.619549 Batch=1019, step=10620, lr=0.156000, batch loss=0.279695, epoch loss=3.899244 Batch=1079, step=10680, lr=0.155750, batch loss=0.167749, epoch loss=4.066993 Batch=1139, step=10740, lr=0.155500, batch loss=0.199727, epoch loss=4.266720 Batch=1199, step=10800, lr=0.155250, batch loss=0.154107, epoch loss=4.420826 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420826 Batch=59, step=10860, lr=0.155000, batch loss=0.180056, epoch loss=0.180056 Batch=119, step=10920, lr=0.154750, batch loss=0.150649, epoch loss=0.330705 Batch=179, step=10980, lr=0.154500, batch loss=0.166386, epoch loss=0.497090 Batch=239, step=11040, lr=0.154250, batch loss=0.240677, epoch loss=0.737767 Batch=299, step=11100, lr=0.154000, batch loss=0.172320, epoch loss=0.910087 Batch=359, step=11160, lr=0.153750, batch loss=0.220749, epoch loss=1.130835 Batch=419, step=11220, lr=0.153500, batch loss=0.228466, epoch loss=1.359302 Batch=479, step=11280, lr=0.153250, batch loss=0.204087, epoch loss=1.563389 Batch=539, step=11340, lr=0.153000, batch loss=0.159033, epoch loss=1.722422 Batch=599, step=11400, lr=0.152750, batch loss=0.184361, epoch loss=1.906783 Batch=659, step=11460, lr=0.152500, batch loss=0.264434, epoch loss=2.171217 Batch=719, step=11520, lr=0.152250, batch loss=0.255863, epoch loss=2.427080 Batch=779, step=11580, lr=0.152000, batch loss=0.271106, epoch loss=2.698185 Batch=839, step=11640, lr=0.151750, batch loss=0.256596, epoch loss=2.954781 Batch=899, step=11700, lr=0.151500, batch loss=0.216893, epoch loss=3.171674 Batch=959, step=11760, lr=0.151250, batch loss=0.186273, epoch loss=3.357947 Batch=1019, step=11820, lr=0.151000, batch loss=0.276848, epoch loss=3.634795 Batch=1079, step=11880, lr=0.150750, batch loss=0.148699, epoch loss=3.783494 Batch=1139, step=11940, lr=0.150500, batch loss=0.180533, epoch loss=3.964027 Batch=1199, step=12000, lr=0.150250, batch loss=0.139756, epoch loss=4.103783 Epoch=9, step=12000, lr=0.150250, epoch loss=4.103783 Batch=59, step=12060, lr=0.150000, batch loss=0.161227, epoch loss=0.161227 Batch=119, step=12120, lr=0.149750, batch loss=0.136855, epoch loss=0.298082 Batch=179, step=12180, lr=0.149500, batch loss=0.150770, epoch loss=0.448852 Batch=239, step=12240, lr=0.149250, batch loss=0.218836, epoch loss=0.667689 Batch=299, step=12300, lr=0.149000, batch loss=0.142148, epoch loss=0.809837 Batch=359, step=12360, lr=0.148750, batch loss=0.198679, epoch loss=1.008517 Batch=419, step=12420, lr=0.148500, batch loss=0.206475, epoch loss=1.214991 Batch=479, step=12480, lr=0.148250, batch loss=0.178585, epoch loss=1.393576 Batch=539, step=12540, lr=0.148000, batch loss=0.142762, epoch loss=1.536337 Batch=599, step=12600, lr=0.147750, batch loss=0.149234, epoch loss=1.685571 Batch=659, step=12660, lr=0.147500, batch loss=0.226640, epoch loss=1.912211 Batch=719, step=12720, lr=0.147250, batch loss=0.233506, epoch loss=2.145717 Batch=779, step=12780, lr=0.147000, batch loss=0.263748, epoch loss=2.409465 Batch=839, step=12840, lr=0.146750, batch loss=0.233587, epoch loss=2.643052 Batch=899, step=12900, lr=0.146500, batch loss=0.203447, epoch loss=2.846499 Batch=959, step=12960, lr=0.146250, batch loss=0.146937, epoch loss=2.993436 Batch=1019, step=13020, lr=0.146000, batch loss=0.256871, epoch loss=3.250307 Batch=1079, step=13080, lr=0.145750, batch loss=0.114202, epoch loss=3.364509 Batch=1139, step=13140, lr=0.145500, batch loss=0.155010, epoch loss=3.519519 Batch=1199, step=13200, lr=0.145250, batch loss=0.117527, epoch loss=3.637046 Epoch=10, step=13200, lr=0.145250, epoch loss=3.637046 Batch=59, step=13260, lr=0.145000, batch loss=0.143798, epoch loss=0.143798 Batch=119, step=13320, lr=0.144750, batch loss=0.119865, epoch loss=0.263663 Batch=179, step=13380, lr=0.144500, batch loss=0.127624, epoch loss=0.391287 Batch=239, step=13440, lr=0.144250, batch loss=0.187988, epoch loss=0.579275 Batch=299, step=13500, lr=0.144000, batch loss=0.114659, epoch loss=0.693934 Batch=359, step=13560, lr=0.143750, batch loss=0.160286, epoch loss=0.854220 Batch=419, step=13620, lr=0.143500, batch loss=0.160647, epoch loss=1.014867 Batch=479, step=13680, lr=0.143250, batch loss=0.147767, epoch loss=1.162635 Batch=539, step=13740, lr=0.143000, batch loss=0.117052, epoch loss=1.279687 Batch=599, step=13800, lr=0.142750, batch loss=0.120622, epoch loss=1.400309 Batch=659, step=13860, lr=0.142500, batch loss=0.179584, epoch loss=1.579893 Batch=719, step=13920, lr=0.142250, batch loss=0.192490, epoch loss=1.772382 Batch=779, step=13980, lr=0.142000, batch loss=0.225410, epoch loss=1.997792 Batch=839, step=14040, lr=0.141750, batch loss=0.203111, epoch loss=2.200903 Batch=899, step=14100, lr=0.141500, batch loss=0.225136, epoch loss=2.426039 Batch=959, step=14160, lr=0.141250, batch loss=0.095880, epoch loss=2.521919 Batch=1019, step=14220, lr=0.141000, batch loss=0.188546, epoch loss=2.710466 Batch=1079, step=14280, lr=0.140750, batch loss=0.079928, epoch loss=2.790394 Batch=1139, step=14340, lr=0.140500, batch loss=0.126603, epoch loss=2.916997 Batch=1199, step=14400, lr=0.140250, batch loss=0.086614, epoch loss=3.003612 Epoch=11, step=14400, lr=0.140250, epoch loss=3.003612 Batch=59, step=14460, lr=0.140000, batch loss=0.104088, epoch loss=0.104088 Batch=119, step=14520, lr=0.139750, batch loss=0.098619, epoch loss=0.202707 Batch=179, step=14580, lr=0.139500, batch loss=0.100702, epoch loss=0.303409 Batch=239, step=14640, lr=0.139250, batch loss=0.142335, epoch loss=0.445744 Batch=299, step=14700, lr=0.139000, batch loss=0.075847, epoch loss=0.521591 Batch=359, step=14760, lr=0.138750, batch loss=0.121101, epoch loss=0.642692 Batch=419, step=14820, lr=0.138500, batch loss=0.129964, epoch loss=0.772657 Batch=479, step=14880, lr=0.138250, batch loss=0.101828, epoch loss=0.874484 Batch=539, step=14940, lr=0.138000, batch loss=0.108934, epoch loss=0.983418 Batch=599, step=15000, lr=0.137750, batch loss=0.083951, epoch loss=1.067369 Batch=659, step=15060, lr=0.137500, batch loss=0.128351, epoch loss=1.195720 Batch=719, step=15120, lr=0.137250, batch loss=0.131343, epoch loss=1.327064 Batch=779, step=15180, lr=0.137000, batch loss=0.162634, epoch loss=1.489698 Batch=839, step=15240, lr=0.136750, batch loss=0.161749, epoch loss=1.651447 Batch=899, step=15300, lr=0.136500, batch loss=0.285650, epoch loss=1.937097 Batch=959, step=15360, lr=0.136250, batch loss=0.060894, epoch loss=1.997991 Batch=1019, step=15420, lr=0.136000, batch loss=0.135552, epoch loss=2.133542 Batch=1079, step=15480, lr=0.135750, batch loss=0.044033, epoch loss=2.177576 Batch=1139, step=15540, lr=0.135500, batch loss=0.093975, epoch loss=2.271550 Batch=1199, step=15600, lr=0.135250, batch loss=0.059167, epoch loss=2.330717 Epoch=12, step=15600, lr=0.135250, epoch loss=2.330717 Batch=59, step=15660, lr=0.135000, batch loss=0.075991, epoch loss=0.075991 Batch=119, step=15720, lr=0.134750, batch loss=0.105021, epoch loss=0.181012 Batch=179, step=15780, lr=0.134500, batch loss=0.088558, epoch loss=0.269570 Batch=239, step=15840, lr=0.134250, batch loss=0.092986, epoch loss=0.362557 Batch=299, step=15900, lr=0.134000, batch loss=0.039923, epoch loss=0.402480 Batch=359, step=15960, lr=0.133750, batch loss=0.078476, epoch loss=0.480956 Batch=419, step=16020, lr=0.133500, batch loss=0.080760, epoch loss=0.561716 Batch=479, step=16080, lr=0.133250, batch loss=0.071128, epoch loss=0.632844 Batch=539, step=16140, lr=0.133000, batch loss=0.059205, epoch loss=0.692049 Batch=599, step=16200, lr=0.132750, batch loss=0.136027, epoch loss=0.828076 Batch=659, step=16260, lr=0.132500, batch loss=0.084186, epoch loss=0.912262 Batch=719, step=16320, lr=0.132250, batch loss=0.124066, epoch loss=1.036329 Batch=779, step=16380, lr=0.132000, batch loss=0.294445, epoch loss=1.330773 Batch=839, step=16440, lr=0.131750, batch loss=0.091829, epoch loss=1.422603 Batch=899, step=16500, lr=0.131500, batch loss=0.076059, epoch loss=1.498661 Batch=959, step=16560, lr=0.131250, batch loss=0.038911, epoch loss=1.537573 Batch=1019, step=16620, lr=0.131000, batch loss=0.097028, epoch loss=1.634601 Batch=1079, step=16680, lr=0.130750, batch loss=0.028980, epoch loss=1.663580 Batch=1139, step=16740, lr=0.130500, batch loss=0.067281, epoch loss=1.730861 Batch=1199, step=16800, lr=0.130250, batch loss=0.032407, epoch loss=1.763268 Epoch=13, step=16800, lr=0.130250, epoch loss=1.763268 Batch=59, step=16860, lr=0.130000, batch loss=0.036801, epoch loss=0.036801 Batch=119, step=16920, lr=0.129750, batch loss=0.039211, epoch loss=0.076011 Batch=179, step=16980, lr=0.129500, batch loss=0.043212, epoch loss=0.119224 Batch=239, step=17040, lr=0.129250, batch loss=0.056919, epoch loss=0.176143 Batch=299, step=17100, lr=0.129000, batch loss=0.022008, epoch loss=0.198151 Batch=359, step=17160, lr=0.128750, batch loss=0.050864, epoch loss=0.249016 Batch=419, step=17220, lr=0.128500, batch loss=0.095863, epoch loss=0.344879 Batch=479, step=17280, lr=0.128250, batch loss=0.023700, epoch loss=0.368579 Batch=539, step=17340, lr=0.128000, batch loss=0.027179, epoch loss=0.395758 Batch=599, step=17400, lr=0.127750, batch loss=0.039835, epoch loss=0.435593 Batch=659, step=17460, lr=0.127500, batch loss=0.053311, epoch loss=0.488904 Batch=719, step=17520, lr=0.127250, batch loss=0.066183, epoch loss=0.555087 Batch=779, step=17580, lr=0.127000, batch loss=0.073058, epoch loss=0.628146 Batch=839, step=17640, lr=0.126750, batch loss=0.111734, epoch loss=0.739880 Batch=899, step=17700, lr=0.126500, batch loss=0.050913, epoch loss=0.790793 Batch=959, step=17760, lr=0.126250, batch loss=0.020095, epoch loss=0.810888 Batch=1019, step=17820, lr=0.126000, batch loss=0.049462, epoch loss=0.860350 Batch=1079, step=17880, lr=0.125750, batch loss=0.039747, epoch loss=0.900097 Batch=1139, step=17940, lr=0.125500, batch loss=0.072362, epoch loss=0.972459 Batch=1199, step=18000, lr=0.125250, batch loss=0.024588, epoch loss=0.997047 Epoch=14, step=18000, lr=0.125250, epoch loss=0.997047 Batch=59, step=18060, lr=0.125000, batch loss=0.015278, epoch loss=0.015278 Batch=119, step=18120, lr=0.124750, batch loss=0.024427, epoch loss=0.039705 Batch=179, step=18180, lr=0.124500, batch loss=0.059755, epoch loss=0.099460 Batch=239, step=18240, lr=0.124250, batch loss=0.035610, epoch loss=0.135069 Batch=299, step=18300, lr=0.124000, batch loss=0.009946, epoch loss=0.145015 Batch=359, step=18360, lr=0.123750, batch loss=0.028541, epoch loss=0.173556 Batch=419, step=18420, lr=0.123500, batch loss=0.030475, epoch loss=0.204030 Batch=479, step=18480, lr=0.123250, batch loss=0.013989, epoch loss=0.218019 Batch=539, step=18540, lr=0.123000, batch loss=0.032364, epoch loss=0.250383 Batch=599, step=18600, lr=0.122750, batch loss=0.039775, epoch loss=0.290158 Batch=659, step=18660, lr=0.122500, batch loss=0.028148, epoch loss=0.318306 Batch=719, step=18720, lr=0.122250, batch loss=0.059446, epoch loss=0.377752 Batch=779, step=18780, lr=0.122000, batch loss=0.095773, epoch loss=0.473525 Batch=839, step=18840, lr=0.121750, batch loss=0.061717, epoch loss=0.535242 Batch=899, step=18900, lr=0.121500, batch loss=0.070646, epoch loss=0.605887 Batch=959, step=18960, lr=0.121250, batch loss=0.014087, epoch loss=0.619974 Batch=1019, step=19020, lr=0.121000, batch loss=0.017737, epoch loss=0.637711 Batch=1079, step=19080, lr=0.120750, batch loss=0.005329, epoch loss=0.643040 Batch=1139, step=19140, lr=0.120500, batch loss=0.025541, epoch loss=0.668582 Batch=1199, step=19200, lr=0.120250, batch loss=0.010518, epoch loss=0.679100 Epoch=15, step=19200, lr=0.120250, epoch loss=0.679100 Batch=59, step=19260, lr=0.120000, batch loss=0.005711, epoch loss=0.005711 Batch=119, step=19320, lr=0.119750, batch loss=0.019115, epoch loss=0.024825 Batch=179, step=19380, lr=0.119500, batch loss=0.045394, epoch loss=0.070219 Batch=239, step=19440, lr=0.119250, batch loss=0.020842, epoch loss=0.091061 Batch=299, step=19500, lr=0.119000, batch loss=0.005228, epoch loss=0.096289 Batch=359, step=19560, lr=0.118750, batch loss=0.020768, epoch loss=0.117057 Batch=419, step=19620, lr=0.118500, batch loss=0.020260, epoch loss=0.137317 Batch=479, step=19680, lr=0.118250, batch loss=0.007150, epoch loss=0.144467 Batch=539, step=19740, lr=0.118000, batch loss=0.026804, epoch loss=0.171270 Batch=599, step=19800, lr=0.117750, batch loss=0.026337, epoch loss=0.197608 Batch=659, step=19860, lr=0.117500, batch loss=0.015322, epoch loss=0.212930 Batch=719, step=19920, lr=0.117250, batch loss=0.034076, epoch loss=0.247006 Batch=779, step=19980, lr=0.117000, batch loss=0.079056, epoch loss=0.326061 Batch=839, step=20040, lr=0.116750, batch loss=0.031417, epoch loss=0.357478 Batch=899, step=20100, lr=0.116500, batch loss=0.029717, epoch loss=0.387195 Batch=959, step=20160, lr=0.116250, batch loss=0.019216, epoch loss=0.406411 Batch=1019, step=20220, lr=0.116000, batch loss=0.023277, epoch loss=0.429688 Batch=1079, step=20280, lr=0.115750, batch loss=0.002002, epoch loss=0.431690 Batch=1139, step=20340, lr=0.115500, batch loss=0.015038, epoch loss=0.446729 Batch=1199, step=20400, lr=0.115250, batch loss=0.005791, epoch loss=0.452519 Epoch=16, step=20400, lr=0.115250, epoch loss=0.452519 Batch=59, step=20460, lr=0.115000, batch loss=0.002545, epoch loss=0.002545 Batch=119, step=20520, lr=0.114750, batch loss=0.011859, epoch loss=0.014404 Batch=179, step=20580, lr=0.114500, batch loss=0.023784, epoch loss=0.038189 Batch=239, step=20640, lr=0.114250, batch loss=0.017018, epoch loss=0.055207 Batch=299, step=20700, lr=0.114000, batch loss=0.005254, epoch loss=0.060461 Batch=359, step=20760, lr=0.113750, batch loss=0.013770, epoch loss=0.074230 Batch=419, step=20820, lr=0.113500, batch loss=0.014709, epoch loss=0.088939 Batch=479, step=20880, lr=0.113250, batch loss=0.005399, epoch loss=0.094338 Batch=539, step=20940, lr=0.113000, batch loss=0.016219, epoch loss=0.110556 Batch=599, step=21000, lr=0.112750, batch loss=0.018357, epoch loss=0.128914 Batch=659, step=21060, lr=0.112500, batch loss=0.013083, epoch loss=0.141997 Batch=719, step=21120, lr=0.112250, batch loss=0.035452, epoch loss=0.177449 Batch=779, step=21180, lr=0.112000, batch loss=0.077185, epoch loss=0.254634 Batch=839, step=21240, lr=0.111750, batch loss=0.027060, epoch loss=0.281694 Batch=899, step=21300, lr=0.111500, batch loss=0.034447, epoch loss=0.316141 Batch=959, step=21360, lr=0.111250, batch loss=0.009948, epoch loss=0.326089 Batch=1019, step=21420, lr=0.111000, batch loss=0.010598, epoch loss=0.336687 Batch=1079, step=21480, lr=0.110750, batch loss=0.001306, epoch loss=0.337992 Batch=1139, step=21540, lr=0.110500, batch loss=0.012821, epoch loss=0.350814 Batch=1199, step=21600, lr=0.110250, batch loss=0.005178, epoch loss=0.355992 Epoch=17, step=21600, lr=0.110250, epoch loss=0.355992 Batch=59, step=21660, lr=0.110000, batch loss=0.001912, epoch loss=0.001912 Batch=119, step=21720, lr=0.109750, batch loss=0.006549, epoch loss=0.008460 Batch=179, step=21780, lr=0.109500, batch loss=0.012796, epoch loss=0.021256 Batch=239, step=21840, lr=0.109250, batch loss=0.012298, epoch loss=0.033554 Batch=299, step=21900, lr=0.109000, batch loss=0.002376, epoch loss=0.035930 Batch=359, step=21960, lr=0.108750, batch loss=0.012311, epoch loss=0.048241 Batch=419, step=22020, lr=0.108500, batch loss=0.011663, epoch loss=0.059904 Batch=479, step=22080, lr=0.108250, batch loss=0.002585, epoch loss=0.062488 Batch=539, step=22140, lr=0.108000, batch loss=0.018164, epoch loss=0.080653 Batch=599, step=22200, lr=0.107750, batch loss=0.016610, epoch loss=0.097263 Batch=659, step=22260, lr=0.107500, batch loss=0.015666, epoch loss=0.112928 Batch=719, step=22320, lr=0.107250, batch loss=0.024265, epoch loss=0.137194 Batch=779, step=22380, lr=0.107000, batch loss=0.035729, epoch loss=0.172923 Batch=839, step=22440, lr=0.106750, batch loss=0.025489, epoch loss=0.198412 Batch=899, step=22500, lr=0.106500, batch loss=0.028520, epoch loss=0.226931 Batch=959, step=22560, lr=0.106250, batch loss=0.009023, epoch loss=0.235954 Batch=1019, step=22620, lr=0.106000, batch loss=0.009930, epoch loss=0.245884 Batch=1079, step=22680, lr=0.105750, batch loss=0.000697, epoch loss=0.246581 Batch=1139, step=22740, lr=0.105500, batch loss=0.011479, epoch loss=0.258059 Batch=1199, step=22800, lr=0.105250, batch loss=0.004892, epoch loss=0.262952 Epoch=18, step=22800, lr=0.105250, epoch loss=0.262952 Batch=59, step=22860, lr=0.105000, batch loss=0.001729, epoch loss=0.001729 Batch=119, step=22920, lr=0.104750, batch loss=0.005525, epoch loss=0.007254 Batch=179, step=22980, lr=0.104500, batch loss=0.010356, epoch loss=0.017610 Batch=239, step=23040, lr=0.104250, batch loss=0.008989, epoch loss=0.026599 Batch=299, step=23100, lr=0.104000, batch loss=0.001922, epoch loss=0.028521 Batch=359, step=23160, lr=0.103750, batch loss=0.010626, epoch loss=0.039147 Batch=419, step=23220, lr=0.103500, batch loss=0.010400, epoch loss=0.049547 Batch=479, step=23280, lr=0.103250, batch loss=0.002374, epoch loss=0.051921 Batch=539, step=23340, lr=0.103000, batch loss=0.017085, epoch loss=0.069007 Batch=599, step=23400, lr=0.102750, batch loss=0.013633, epoch loss=0.082640 Batch=659, step=23460, lr=0.102500, batch loss=0.011718, epoch loss=0.094358 Batch=719, step=23520, lr=0.102250, batch loss=0.011464, epoch loss=0.105822 Batch=779, step=23580, lr=0.102000, batch loss=0.019165, epoch loss=0.124987 Batch=839, step=23640, lr=0.101750, batch loss=0.026272, epoch loss=0.151258 Batch=899, step=23700, lr=0.101500, batch loss=0.022198, epoch loss=0.173456 Batch=959, step=23760, lr=0.101250, batch loss=0.008458, epoch loss=0.181914 Batch=1019, step=23820, lr=0.101000, batch loss=0.008910, epoch loss=0.190824 Batch=1079, step=23880, lr=0.100750, batch loss=0.000760, epoch loss=0.191584 Batch=1139, step=23940, lr=0.100500, batch loss=0.008749, epoch loss=0.200333 Batch=1199, step=24000, lr=0.100250, batch loss=0.004572, epoch loss=0.204905 Epoch=19, step=24000, lr=0.100250, epoch loss=0.204905 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:35.16 ---> saved as "2810fb9848b75d444a194dd9231988c9264a166a73e27c10ab33edb661620fa5" Job succeeded 2025-05-10 12:35.17: Job succeeded