2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 451f36ee cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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 2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-20 22:51.40: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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")) ) 2025-03-20 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:52.32: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-20 22:52.33 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" 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")) 2025-03-20 22:52.33 ---> using "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:52.33 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" 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 2025-03-20 22:52.33 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:52.33 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from 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) 2025-03-20 22:52.33 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:52.33 ---> using "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" 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) 2025-03-20 22:52.33 ---> using "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:52.33 ---> using "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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 [249 kB] - Fetched 353 kB in 0s (974 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 ... 18776 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) ... 2025-03-20 22:52.33 ---> using "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86" 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 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - 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 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - 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_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 2.1.0 - 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 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 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 angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (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 integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (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_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 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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (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_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> 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) -> retrieved time_now.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> 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_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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) 2025-03-20 22:52.33 ---> using "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:52.34 ---> saved as "af96c1054af407d6a723c2174416afea075e208c1e66d23f4a53702f1cdc4d4c" /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/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a5edf3c32dbe828c2dcdd63c54df1abd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa8d4d998c8c1c558b73a6645c1eae3e/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa8d4d998c8c1c558b73a6645c1eae3e/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 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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.329270, epoch loss=38.401074 Batch=419, step=420, lr=0.198500, batch loss=0.619113, epoch loss=39.020187 Batch=479, step=480, lr=0.198000, batch loss=0.822066, epoch loss=39.842253 Batch=539, step=540, lr=0.198000, batch loss=0.689751, epoch loss=40.532004 Batch=599, step=600, lr=0.197750, batch loss=1.065574, epoch loss=41.597578 Batch=659, step=660, lr=0.197500, batch loss=0.483248, epoch loss=42.080826 Batch=719, step=720, lr=0.197250, batch loss=0.411374, epoch loss=42.492200 Batch=779, step=780, lr=0.196750, batch loss=0.468818, epoch loss=42.961018 Batch=839, step=840, lr=0.196500, batch loss=0.443376, epoch loss=43.404394 Batch=899, step=900, lr=0.196500, batch loss=0.383662, epoch loss=43.788056 Batch=959, step=960, lr=0.196000, batch loss=0.237066, epoch loss=44.025122 Batch=1019, step=1020, lr=0.196000, batch loss=0.440845, epoch loss=44.465967 Batch=1079, step=1080, lr=0.195500, batch loss=0.228985, epoch loss=44.694952 Batch=1139, step=1140, lr=0.195250, batch loss=0.315494, epoch loss=45.010446 Batch=1199, step=1200, lr=0.195000, batch loss=0.263179, epoch loss=45.273625 Epoch=0, step=1200, lr=0.195000, epoch loss=45.273625 Batch=59, step=1260, lr=0.194750, batch loss=0.262343, epoch loss=0.262343 Batch=119, step=1320, lr=0.194500, batch loss=0.205535, epoch loss=0.467878 Batch=179, step=1380, lr=0.194500, batch loss=0.243059, epoch loss=0.710936 Batch=239, step=1440, lr=0.194250, batch loss=0.345586, epoch loss=1.056522 Batch=299, step=1500, lr=0.193750, batch loss=0.238779, epoch loss=1.295301 Batch=359, step=1560, lr=0.193750, batch loss=0.311364, epoch loss=1.606665 Batch=419, step=1620, lr=0.193500, batch loss=0.309575, epoch loss=1.916240 Batch=479, step=1680, lr=0.193250, batch loss=0.275883, epoch loss=2.192123 Batch=539, step=1740, lr=0.193000, batch loss=0.212300, epoch loss=2.404423 Batch=599, step=1800, lr=0.192500, batch loss=0.252637, epoch loss=2.657061 Batch=659, step=1860, lr=0.192500, batch loss=0.367698, epoch loss=3.024759 Batch=719, step=1920, lr=0.192250, batch loss=0.364660, epoch loss=3.389418 Batch=779, step=1980, lr=0.192000, batch loss=0.381897, epoch loss=3.771316 Batch=839, step=2040, lr=0.191750, batch loss=0.342753, epoch loss=4.114069 Batch=899, step=2100, lr=0.191500, batch loss=0.309095, epoch loss=4.423164 Batch=959, step=2160, lr=0.191250, batch loss=0.235738, epoch loss=4.658901 Batch=1019, step=2220, lr=0.190750, batch loss=0.357575, epoch loss=5.016477 Batch=1079, step=2280, lr=0.190500, batch loss=0.239332, epoch loss=5.255809 Batch=1139, step=2340, lr=0.190500, batch loss=0.283968, epoch loss=5.539777 Batch=1199, step=2400, lr=0.190000, batch loss=0.218513, epoch loss=5.758290 Epoch=1, step=2400, lr=0.190000, epoch loss=5.758290 Batch=59, step=2460, lr=0.189750, batch loss=0.230792, epoch loss=0.230792 Batch=119, step=2520, lr=0.189750, batch loss=0.192264, epoch loss=0.423055 Batch=179, step=2580, lr=0.189500, batch loss=0.221867, epoch loss=0.644922 Batch=239, step=2640, lr=0.189250, batch loss=0.328580, epoch loss=0.973502 Batch=299, step=2700, lr=0.189000, batch loss=0.206227, epoch loss=1.179729 Batch=359, step=2760, lr=0.188750, batch loss=0.294187, epoch loss=1.473916 Batch=419, step=2820, lr=0.188500, batch loss=0.283099, epoch loss=1.757015 Batch=479, step=2880, lr=0.188250, batch loss=0.262100, epoch loss=2.019115 Batch=539, step=2940, lr=0.188000, batch loss=0.201007, epoch loss=2.220122 Batch=599, step=3000, lr=0.187750, batch loss=0.244658, epoch loss=2.464780 Batch=659, step=3060, lr=0.187500, batch loss=0.345466, epoch loss=2.810247 Batch=719, step=3120, lr=0.187250, batch loss=0.342840, epoch loss=3.153087 Batch=779, step=3180, lr=0.187000, batch loss=0.367328, epoch loss=3.520415 Batch=839, step=3240, lr=0.186750, batch loss=0.322395, epoch loss=3.842809 Batch=899, step=3300, lr=0.186250, batch loss=0.280022, epoch loss=4.122831 Batch=959, step=3360, lr=0.186250, batch loss=0.200751, epoch loss=4.323582 Batch=1019, step=3420, lr=0.186000, batch loss=0.322683, epoch loss=4.646265 Batch=1079, step=3480, lr=0.185500, batch loss=0.201579, epoch loss=4.847844 Batch=1139, step=3540, lr=0.185250, batch loss=0.254979, epoch loss=5.102823 Batch=1199, step=3600, lr=0.185000, batch loss=0.199490, epoch loss=5.302312 Epoch=2, step=3600, lr=0.185000, epoch loss=5.302312 Batch=59, step=3660, lr=0.185000, batch loss=0.224814, epoch loss=0.224814 Batch=119, step=3720, lr=0.184500, batch loss=0.193221, epoch loss=0.418034 Batch=179, step=3780, lr=0.184500, batch loss=0.211957, epoch loss=0.629992 Batch=239, step=3840, lr=0.184000, batch loss=0.317203, epoch loss=0.947195 Batch=299, step=3900, lr=0.184000, batch loss=0.209273, epoch loss=1.156468 Batch=359, step=3960, lr=0.183750, batch loss=0.287603, epoch loss=1.444070 Batch=419, step=4020, lr=0.183500, batch loss=0.274692, epoch loss=1.718763 Batch=479, step=4080, lr=0.183250, batch loss=0.258303, epoch loss=1.977065 Batch=539, step=4140, lr=0.183000, batch loss=0.197456, epoch loss=2.174521 Batch=599, step=4200, lr=0.182750, batch loss=0.239728, epoch loss=2.414249 Batch=659, step=4260, lr=0.182500, batch loss=0.329342, epoch loss=2.743591 Batch=719, step=4320, lr=0.182250, batch loss=0.327614, epoch loss=3.071205 Batch=779, step=4380, lr=0.182000, batch loss=0.352078, epoch loss=3.423282 Batch=839, step=4440, lr=0.181750, batch loss=0.318203, epoch loss=3.741485 Batch=899, step=4500, lr=0.181500, batch loss=0.284678, epoch loss=4.026163 Batch=959, step=4560, lr=0.181250, batch loss=0.236978, epoch loss=4.263141 Batch=1019, step=4620, lr=0.181000, batch loss=0.337079, epoch loss=4.600220 Batch=1079, step=4680, lr=0.180500, batch loss=0.204723, epoch loss=4.804943 Batch=1139, step=4740, lr=0.180500, batch loss=0.247814, epoch loss=5.052758 Batch=1199, step=4800, lr=0.180250, batch loss=0.190860, epoch loss=5.243618 Epoch=3, step=4800, lr=0.180250, epoch loss=5.243618 Batch=59, step=4860, lr=0.180000, batch loss=0.225779, epoch loss=0.225779 Batch=119, step=4920, lr=0.179500, batch loss=0.185931, epoch loss=0.411711 Batch=179, step=4980, lr=0.179250, batch loss=0.206700, epoch loss=0.618411 Batch=239, step=5040, lr=0.179250, batch loss=0.308057, epoch loss=0.926469 Batch=299, step=5100, lr=0.179000, batch loss=0.207570, epoch loss=1.134039 Batch=359, step=5160, lr=0.178750, batch loss=0.275023, epoch loss=1.409062 Batch=419, step=5220, lr=0.178500, batch loss=0.265753, epoch loss=1.674815 Batch=479, step=5280, lr=0.178250, batch loss=0.241183, epoch loss=1.915998 Batch=539, step=5340, lr=0.178000, batch loss=0.189523, epoch loss=2.105522 Batch=599, step=5400, lr=0.177500, batch loss=0.231174, epoch loss=2.336696 Batch=659, step=5460, lr=0.177500, batch loss=0.324180, epoch loss=2.660875 Batch=719, step=5520, lr=0.177000, batch loss=0.326150, epoch loss=2.987025 Batch=779, step=5580, lr=0.177000, batch loss=0.343828, epoch loss=3.330853 Batch=839, step=5640, lr=0.176750, batch loss=0.309976, epoch loss=3.640828 Batch=899, step=5700, lr=0.176500, batch loss=0.273827, epoch loss=3.914655 Batch=959, step=5760, lr=0.176250, batch loss=0.214700, epoch loss=4.129355 Batch=1019, step=5820, lr=0.176000, batch loss=0.338347, epoch loss=4.467703 Batch=1079, step=5880, lr=0.175500, batch loss=0.188936, epoch loss=4.656638 Batch=1139, step=5940, lr=0.175500, batch loss=0.221623, epoch loss=4.878261 Batch=1199, step=6000, lr=0.175250, batch loss=0.186651, epoch loss=5.064912 Epoch=4, step=6000, lr=0.175250, epoch loss=5.064912 Batch=59, step=6060, lr=0.175000, batch loss=0.232360, epoch loss=0.232360 Batch=119, step=6120, lr=0.174750, batch loss=0.193671, epoch loss=0.426030 Batch=179, step=6180, lr=0.174500, batch loss=0.201505, epoch loss=0.627535 Batch=239, step=6240, lr=0.174250, batch loss=0.299058, epoch loss=0.926593 Batch=299, step=6300, lr=0.174000, batch loss=0.199088, epoch loss=1.125681 Batch=359, step=6360, lr=0.173750, batch loss=0.264718, epoch loss=1.390399 Batch=419, step=6420, lr=0.173250, batch loss=0.258014, epoch loss=1.648413 Batch=479, step=6480, lr=0.173250, batch loss=0.231581, epoch loss=1.879994 Batch=539, step=6540, lr=0.173000, batch loss=0.185540, epoch loss=2.065534 Batch=599, step=6600, lr=0.172750, batch loss=0.231080, epoch loss=2.296614 Batch=659, step=6660, lr=0.172500, batch loss=0.314284, epoch loss=2.610898 Batch=719, step=6720, lr=0.172250, batch loss=0.315274, epoch loss=2.926172 Batch=779, step=6780, lr=0.172000, batch loss=0.332393, epoch loss=3.258565 Batch=839, step=6840, lr=0.171750, batch loss=0.305325, epoch loss=3.563890 Batch=899, step=6900, lr=0.171250, batch loss=0.264713, epoch loss=3.828603 Batch=959, step=6960, lr=0.171250, batch loss=0.213195, epoch loss=4.041798 Batch=1019, step=7020, lr=0.171000, batch loss=0.325597, epoch loss=4.367396 Batch=1079, step=7080, lr=0.170500, batch loss=0.187937, epoch loss=4.555332 Batch=1139, step=7140, lr=0.170500, batch loss=0.218324, epoch loss=4.773656 Batch=1199, step=7200, lr=0.170250, batch loss=0.183879, epoch loss=4.957535 Epoch=5, step=7200, lr=0.170250, epoch loss=4.957535 Batch=59, step=7260, lr=0.170000, batch loss=0.238265, epoch loss=0.238265 Batch=119, step=7320, lr=0.169750, batch loss=0.181711, epoch loss=0.419976 Batch=179, step=7380, lr=0.169250, batch loss=0.195686, epoch loss=0.615662 Batch=239, step=7440, lr=0.169250, batch loss=0.291282, epoch loss=0.906944 Batch=299, step=7500, lr=0.169000, batch loss=0.209330, epoch loss=1.116274 Batch=359, step=7560, lr=0.168750, batch loss=0.261275, epoch loss=1.377549 Batch=419, step=7620, lr=0.168500, batch loss=0.255579, epoch loss=1.633128 Batch=479, step=7680, lr=0.168250, batch loss=0.238447, epoch loss=1.871575 Batch=539, step=7740, lr=0.168000, batch loss=0.186749, epoch loss=2.058324 Batch=599, step=7800, lr=0.167500, batch loss=0.227347, epoch loss=2.285671 Batch=659, step=7860, lr=0.167500, batch loss=0.304579, epoch loss=2.590250 Batch=719, step=7920, lr=0.167250, batch loss=0.309579, epoch loss=2.899829 Batch=779, step=7980, lr=0.167000, batch loss=0.321106, epoch loss=3.220935 Batch=839, step=8040, lr=0.166500, batch loss=0.297659, epoch loss=3.518594 Batch=899, step=8100, lr=0.166500, batch loss=0.258656, epoch loss=3.777250 Batch=959, step=8160, lr=0.166000, batch loss=0.211484, epoch loss=3.988734 Batch=1019, step=8220, lr=0.166000, batch loss=0.315380, epoch loss=4.304113 Batch=1079, step=8280, lr=0.165750, batch loss=0.172455, epoch loss=4.476569 Batch=1139, step=8340, lr=0.165500, batch loss=0.210386, epoch loss=4.686955 Batch=1199, step=8400, lr=0.165250, batch loss=0.178097, epoch loss=4.865052 Epoch=6, step=8400, lr=0.165250, epoch loss=4.865052 Batch=59, step=8460, lr=0.164750, batch loss=0.230194, epoch loss=0.230194 Batch=119, step=8520, lr=0.164500, batch loss=0.175545, epoch loss=0.405739 Batch=179, step=8580, lr=0.164250, batch loss=0.187742, epoch loss=0.593482 Batch=239, step=8640, lr=0.164250, batch loss=0.278346, epoch loss=0.871828 Batch=299, step=8700, lr=0.164000, batch loss=0.202098, epoch loss=1.073926 Batch=359, step=8760, lr=0.163750, batch loss=0.251965, epoch loss=1.325890 Batch=419, step=8820, lr=0.163500, batch loss=0.243235, epoch loss=1.569125 Batch=479, step=8880, lr=0.163250, batch loss=0.224788, epoch loss=1.793913 Batch=539, step=8940, lr=0.162750, batch loss=0.183282, epoch loss=1.977195 Batch=599, step=9000, lr=0.162750, batch loss=0.213248, epoch loss=2.190443 Batch=659, step=9060, lr=0.162250, batch loss=0.295022, epoch loss=2.485465 Batch=719, step=9120, lr=0.162250, batch loss=0.296261, epoch loss=2.781727 Batch=779, step=9180, lr=0.162000, batch loss=0.316661, epoch loss=3.098387 Batch=839, step=9240, lr=0.161500, batch loss=0.287771, epoch loss=3.386159 Batch=899, step=9300, lr=0.161500, batch loss=0.251482, epoch loss=3.637640 Batch=959, step=9360, lr=0.161250, batch loss=0.191512, epoch loss=3.829152 Batch=1019, step=9420, lr=0.161000, batch loss=0.316394, epoch loss=4.145546 Batch=1079, step=9480, lr=0.160750, batch loss=0.188589, epoch loss=4.334136 Batch=1139, step=9540, lr=0.160500, batch loss=0.212249, epoch loss=4.546385 Batch=1199, step=9600, lr=0.160000, batch loss=0.167481, epoch loss=4.713866 Epoch=7, step=9600, lr=0.160000, epoch loss=4.713866 Batch=59, step=9660, lr=0.160000, batch loss=0.200524, epoch loss=0.200524 Batch=119, step=9720, lr=0.159750, batch loss=0.165922, epoch loss=0.366446 Batch=179, step=9780, lr=0.159250, batch loss=0.179390, epoch loss=0.545836 Batch=239, step=9840, lr=0.159250, batch loss=0.263708, epoch loss=0.809544 Batch=299, step=9900, lr=0.158750, batch loss=0.183174, epoch loss=0.992718 Batch=359, step=9960, lr=0.158500, batch loss=0.241337, epoch loss=1.234055 Batch=419, step=10020, lr=0.158500, batch loss=0.233456, epoch loss=1.467511 Batch=479, step=10080, lr=0.158250, batch loss=0.215167, epoch loss=1.682678 Batch=539, step=10140, lr=0.157750, batch loss=0.171387, epoch loss=1.854065 Batch=599, step=10200, lr=0.157750, batch loss=0.203385, epoch loss=2.057450 Batch=659, step=10260, lr=0.157250, batch loss=0.281771, epoch loss=2.339221 Batch=719, step=10320, lr=0.157250, batch loss=0.286877, epoch loss=2.626099 Batch=779, step=10380, lr=0.157000, batch loss=0.296058, epoch loss=2.922156 Batch=839, step=10440, lr=0.156500, batch loss=0.267643, epoch loss=3.189799 Batch=899, step=10500, lr=0.156500, batch loss=0.245328, epoch loss=3.435127 Batch=959, step=10560, lr=0.156250, batch loss=0.198187, epoch loss=3.633314 Batch=1019, step=10620, lr=0.156000, batch loss=0.281734, epoch loss=3.915049 Batch=1079, step=10680, lr=0.155750, batch loss=0.168245, epoch loss=4.083294 Batch=1139, step=10740, lr=0.155250, batch loss=0.194957, epoch loss=4.278251 Batch=1199, step=10800, lr=0.155250, batch loss=0.155239, epoch loss=4.433491 Epoch=8, step=10800, lr=0.155250, epoch loss=4.433491 Batch=59, step=10860, lr=0.155000, batch loss=0.180822, epoch loss=0.180822 Batch=119, step=10920, lr=0.154500, batch loss=0.151753, epoch loss=0.332574 Batch=179, step=10980, lr=0.154500, batch loss=0.167127, epoch loss=0.499701 Batch=239, step=11040, lr=0.154250, batch loss=0.242110, epoch loss=0.741812 Batch=299, step=11100, lr=0.154000, batch loss=0.173862, epoch loss=0.915674 Batch=359, step=11160, lr=0.153500, batch loss=0.221017, epoch loss=1.136691 Batch=419, step=11220, lr=0.153250, batch loss=0.217216, epoch loss=1.353908 Batch=479, step=11280, lr=0.153000, batch loss=0.213263, epoch loss=1.567171 Batch=539, step=11340, lr=0.152750, batch loss=0.169926, epoch loss=1.737097 Batch=599, step=11400, lr=0.152500, batch loss=0.175744, epoch loss=1.912841 Batch=659, step=11460, lr=0.152250, batch loss=0.262724, epoch loss=2.175564 Batch=719, step=11520, lr=0.152250, batch loss=0.265817, epoch loss=2.441382 Batch=779, step=11580, lr=0.151750, batch loss=0.272414, epoch loss=2.713795 Batch=839, step=11640, lr=0.151750, batch loss=0.252422, epoch loss=2.966217 Batch=899, step=11700, lr=0.151250, batch loss=0.219490, epoch loss=3.185707 Batch=959, step=11760, lr=0.151250, batch loss=0.185908, epoch loss=3.371615 Batch=1019, step=11820, lr=0.151000, batch loss=0.280179, epoch loss=3.651794 Batch=1079, step=11880, lr=0.150500, batch loss=0.146895, epoch loss=3.798689 Batch=1139, step=11940, lr=0.150500, batch loss=0.181672, epoch loss=3.980361 Batch=1199, step=12000, lr=0.150000, batch loss=0.140644, epoch loss=4.121005 Epoch=9, step=12000, lr=0.150000, epoch loss=4.121005 Batch=59, step=12060, lr=0.150000, batch loss=0.161524, epoch loss=0.161524 Batch=119, step=12120, lr=0.149750, batch loss=0.138610, epoch loss=0.300133 Batch=179, step=12180, lr=0.149500, batch loss=0.152359, epoch loss=0.452492 Batch=239, step=12240, lr=0.149250, batch loss=0.220490, epoch loss=0.672982 Batch=299, step=12300, lr=0.148750, batch loss=0.144310, epoch loss=0.817292 Batch=359, step=12360, lr=0.148750, batch loss=0.197821, epoch loss=1.015113 Batch=419, step=12420, lr=0.148500, batch loss=0.209087, epoch loss=1.224200 Batch=479, step=12480, lr=0.148250, batch loss=0.178987, epoch loss=1.403187 Batch=539, step=12540, lr=0.147750, batch loss=0.144101, epoch loss=1.547288 Batch=599, step=12600, lr=0.147750, batch loss=0.149244, epoch loss=1.696532 Batch=659, step=12660, lr=0.147250, batch loss=0.224331, epoch loss=1.920864 Batch=719, step=12720, lr=0.147250, batch loss=0.236097, epoch loss=2.156961 Batch=779, step=12780, lr=0.146750, batch loss=0.243234, epoch loss=2.400194 Batch=839, step=12840, lr=0.146750, batch loss=0.232143, epoch loss=2.632338 Batch=899, step=12900, lr=0.146500, batch loss=0.197593, epoch loss=2.829930 Batch=959, step=12960, lr=0.146250, batch loss=0.162601, epoch loss=2.992531 Batch=1019, step=13020, lr=0.145750, batch loss=0.257923, epoch loss=3.250453 Batch=1079, step=13080, lr=0.145750, batch loss=0.122789, epoch loss=3.373243 Batch=1139, step=13140, lr=0.145250, batch loss=0.159417, epoch loss=3.532660 Batch=1199, step=13200, lr=0.145250, batch loss=0.119826, epoch loss=3.652486 Epoch=10, step=13200, lr=0.145250, epoch loss=3.652486 Batch=59, step=13260, lr=0.145000, batch loss=0.144785, epoch loss=0.144785 Batch=119, step=13320, lr=0.144750, batch loss=0.121717, epoch loss=0.266501 Batch=179, step=13380, lr=0.144250, batch loss=0.128582, epoch loss=0.395084 Batch=239, step=13440, lr=0.144250, batch loss=0.189971, epoch loss=0.585055 Batch=299, step=13500, lr=0.143750, batch loss=0.113998, epoch loss=0.699053 Batch=359, step=13560, lr=0.143750, batch loss=0.164354, epoch loss=0.863406 Batch=419, step=13620, lr=0.143500, batch loss=0.169168, epoch loss=1.032574 Batch=479, step=13680, lr=0.143250, batch loss=0.151794, epoch loss=1.184368 Batch=539, step=13740, lr=0.142750, batch loss=0.118553, epoch loss=1.302921 Batch=599, step=13800, lr=0.142500, batch loss=0.122459, epoch loss=1.425380 Batch=659, step=13860, lr=0.142250, batch loss=0.183072, epoch loss=1.608452 Batch=719, step=13920, lr=0.142250, batch loss=0.196454, epoch loss=1.804906 Batch=779, step=13980, lr=0.142000, batch loss=0.227230, epoch loss=2.032135 Batch=839, step=14040, lr=0.141500, batch loss=0.201461, epoch loss=2.233596 Batch=899, step=14100, lr=0.141250, batch loss=0.210014, epoch loss=2.443610 Batch=959, step=14160, lr=0.141000, batch loss=0.108362, epoch loss=2.551972 Batch=1019, step=14220, lr=0.140750, batch loss=0.193828, epoch loss=2.745800 Batch=1079, step=14280, lr=0.140500, batch loss=0.078171, epoch loss=2.823971 Batch=1139, step=14340, lr=0.140250, batch loss=0.116850, epoch loss=2.940821 Batch=1199, step=14400, lr=0.140000, batch loss=0.086651, epoch loss=3.027472 Epoch=11, step=14400, lr=0.140000, epoch loss=3.027472 Batch=59, step=14460, lr=0.140000, batch loss=0.112499, epoch loss=0.112499 Batch=119, step=14520, lr=0.139750, batch loss=0.114214, epoch loss=0.226713 Batch=179, step=14580, lr=0.139250, batch loss=0.103896, epoch loss=0.330609 Batch=239, step=14640, lr=0.139000, batch loss=0.143453, epoch loss=0.474062 Batch=299, step=14700, lr=0.139000, batch loss=0.081378, epoch loss=0.555440 Batch=359, step=14760, lr=0.138500, batch loss=0.125012, epoch loss=0.680452 Batch=419, step=14820, lr=0.138500, batch loss=0.130237, epoch loss=0.810688 Batch=479, step=14880, lr=0.138000, batch loss=0.108331, epoch loss=0.919019 Batch=539, step=14940, lr=0.138000, batch loss=0.107758, epoch loss=1.026778 Batch=599, step=15000, lr=0.137750, batch loss=0.086274, epoch loss=1.113051 Batch=659, step=15060, lr=0.137500, batch loss=0.131586, epoch loss=1.244637 Batch=719, step=15120, lr=0.137000, batch loss=0.123418, epoch loss=1.368055 Batch=779, step=15180, lr=0.137000, batch loss=0.134929, epoch loss=1.502985 Batch=839, step=15240, lr=0.136750, batch loss=0.172517, epoch loss=1.675502 Batch=899, step=15300, lr=0.136500, batch loss=0.303018, epoch loss=1.978520 Batch=959, step=15360, lr=0.136250, batch loss=0.060365, epoch loss=2.038886 Batch=1019, step=15420, lr=0.135750, batch loss=0.140810, epoch loss=2.179695 Batch=1079, step=15480, lr=0.135500, batch loss=0.047164, epoch loss=2.226859 Batch=1139, step=15540, lr=0.135250, batch loss=0.103991, epoch loss=2.330850 Batch=1199, step=15600, lr=0.135000, batch loss=0.062263, epoch loss=2.393113 Epoch=12, step=15600, lr=0.135000, epoch loss=2.393113 Batch=59, step=15660, lr=0.135000, batch loss=0.087955, epoch loss=0.087955 Batch=119, step=15720, lr=0.134750, batch loss=0.139142, epoch loss=0.227097 Batch=179, step=15780, lr=0.134250, batch loss=0.101109, epoch loss=0.328207 Batch=239, step=15840, lr=0.134000, batch loss=0.101811, epoch loss=0.430018 Batch=299, step=15900, lr=0.134000, batch loss=0.047082, epoch loss=0.477100 Batch=359, step=15960, lr=0.133500, batch loss=0.084341, epoch loss=0.561441 Batch=419, step=16020, lr=0.133250, batch loss=0.082370, epoch loss=0.643811 Batch=479, step=16080, lr=0.133250, batch loss=0.065447, epoch loss=0.709257 Batch=539, step=16140, lr=0.133000, batch loss=0.057546, epoch loss=0.766803 Batch=599, step=16200, lr=0.132500, batch loss=0.108020, epoch loss=0.874823 Batch=659, step=16260, lr=0.132250, batch loss=0.081286, epoch loss=0.956109 Batch=719, step=16320, lr=0.132000, batch loss=0.088204, epoch loss=1.044313 Batch=779, step=16380, lr=0.131750, batch loss=0.103333, epoch loss=1.147645 Batch=839, step=16440, lr=0.131750, batch loss=0.124237, epoch loss=1.271882 Batch=899, step=16500, lr=0.131500, batch loss=0.139745, epoch loss=1.411628 Batch=959, step=16560, lr=0.131250, batch loss=0.055864, epoch loss=1.467492 Batch=1019, step=16620, lr=0.131000, batch loss=0.131789, epoch loss=1.599281 Batch=1079, step=16680, lr=0.130500, batch loss=0.023276, epoch loss=1.622556 Batch=1139, step=16740, lr=0.130500, batch loss=0.052984, epoch loss=1.675540 Batch=1199, step=16800, lr=0.130250, batch loss=0.030297, epoch loss=1.705837 Epoch=13, step=16800, lr=0.130250, epoch loss=1.705837 Batch=59, step=16860, lr=0.130000, batch loss=0.043149, epoch loss=0.043149 Batch=119, step=16920, lr=0.129750, batch loss=0.074879, epoch loss=0.118027 Batch=179, step=16980, lr=0.129500, batch loss=0.057716, epoch loss=0.175743 Batch=239, step=17040, lr=0.129250, batch loss=0.062406, epoch loss=0.238149 Batch=299, step=17100, lr=0.129000, batch loss=0.020351, epoch loss=0.258501 Batch=359, step=17160, lr=0.128750, batch loss=0.047518, epoch loss=0.306018 Batch=419, step=17220, lr=0.128250, batch loss=0.059728, epoch loss=0.365746 Batch=479, step=17280, lr=0.128250, batch loss=0.030134, epoch loss=0.395880 Batch=539, step=17340, lr=0.128000, batch loss=0.056799, epoch loss=0.452679 Batch=599, step=17400, lr=0.127750, batch loss=0.036577, epoch loss=0.489256 Batch=659, step=17460, lr=0.127500, batch loss=0.051355, epoch loss=0.540611 Batch=719, step=17520, lr=0.127250, batch loss=0.039270, epoch loss=0.579882 Batch=779, step=17580, lr=0.126750, batch loss=0.041450, epoch loss=0.621332 Batch=839, step=17640, lr=0.126500, batch loss=0.059484, epoch loss=0.680817 Batch=899, step=17700, lr=0.126250, batch loss=0.068370, epoch loss=0.749186 Batch=959, step=17760, lr=0.126250, batch loss=0.034900, epoch loss=0.784087 Batch=1019, step=17820, lr=0.126000, batch loss=0.085045, epoch loss=0.869131 Batch=1079, step=17880, lr=0.125750, batch loss=0.018977, epoch loss=0.888108 Batch=1139, step=17940, lr=0.125250, batch loss=0.046145, epoch loss=0.934254 Batch=1199, step=18000, lr=0.125250, batch loss=0.018938, epoch loss=0.953192 Epoch=14, step=18000, lr=0.125250, epoch loss=0.953192 Batch=59, step=18060, lr=0.125000, batch loss=0.012190, epoch loss=0.012190 Batch=119, step=18120, lr=0.124750, batch loss=0.019055, epoch loss=0.031244 Batch=179, step=18180, lr=0.124500, batch loss=0.028976, epoch loss=0.060220 Batch=239, step=18240, lr=0.124250, batch loss=0.034204, epoch loss=0.094424 Batch=299, step=18300, lr=0.124000, batch loss=0.009493, epoch loss=0.103917 Batch=359, step=18360, lr=0.123500, batch loss=0.025315, epoch loss=0.129232 Batch=419, step=18420, lr=0.123500, batch loss=0.031938, epoch loss=0.161170 Batch=479, step=18480, lr=0.123000, batch loss=0.016819, epoch loss=0.177989 Batch=539, step=18540, lr=0.123000, batch loss=0.021210, epoch loss=0.199199 Batch=599, step=18600, lr=0.122750, batch loss=0.027257, epoch loss=0.226456 Batch=659, step=18660, lr=0.122500, batch loss=0.026824, epoch loss=0.253281 Batch=719, step=18720, lr=0.122000, batch loss=0.024274, epoch loss=0.277554 Batch=779, step=18780, lr=0.122000, batch loss=0.045175, epoch loss=0.322729 Batch=839, step=18840, lr=0.121750, batch loss=0.071643, epoch loss=0.394372 Batch=899, step=18900, lr=0.121500, batch loss=0.040480, epoch loss=0.434853 Batch=959, step=18960, lr=0.121000, batch loss=0.012779, epoch loss=0.447632 Batch=1019, step=19020, lr=0.121000, batch loss=0.019966, epoch loss=0.467597 Batch=1079, step=19080, lr=0.120500, batch loss=0.018317, epoch loss=0.485914 Batch=1139, step=19140, lr=0.120500, batch loss=0.036808, epoch loss=0.522722 Batch=1199, step=19200, lr=0.120000, batch loss=0.012814, epoch loss=0.535536 Epoch=15, step=19200, lr=0.120000, epoch loss=0.535536 Batch=59, step=19260, lr=0.120000, batch loss=0.010597, epoch loss=0.010597 Batch=119, step=19320, lr=0.119750, batch loss=0.030500, epoch loss=0.041097 Batch=179, step=19380, lr=0.119500, batch loss=0.079244, epoch loss=0.120341 Batch=239, step=19440, lr=0.119000, batch loss=0.031713, epoch loss=0.152054 Batch=299, step=19500, lr=0.119000, batch loss=0.014953, epoch loss=0.167007 Batch=359, step=19560, lr=0.118750, batch loss=0.028466, epoch loss=0.195473 Batch=419, step=19620, lr=0.118250, batch loss=0.021594, epoch loss=0.217067 Batch=479, step=19680, lr=0.118250, batch loss=0.006371, epoch loss=0.223438 Batch=539, step=19740, lr=0.118000, batch loss=0.022731, epoch loss=0.246169 Batch=599, step=19800, lr=0.117750, batch loss=0.032457, epoch loss=0.278626 Batch=659, step=19860, lr=0.117250, batch loss=0.018967, epoch loss=0.297593 Batch=719, step=19920, lr=0.117000, batch loss=0.038972, epoch loss=0.336565 Batch=779, step=19980, lr=0.117000, batch loss=0.079378, epoch loss=0.415943 Batch=839, step=20040, lr=0.116750, batch loss=0.033383, epoch loss=0.449326 Batch=899, step=20100, lr=0.116250, batch loss=0.030449, epoch loss=0.479774 Batch=959, step=20160, lr=0.116000, batch loss=0.013342, epoch loss=0.493117 Batch=1019, step=20220, lr=0.116000, batch loss=0.013626, epoch loss=0.506742 Batch=1079, step=20280, lr=0.115750, batch loss=0.002728, epoch loss=0.509470 Batch=1139, step=20340, lr=0.115500, batch loss=0.016579, epoch loss=0.526049 Batch=1199, step=20400, lr=0.115000, batch loss=0.006543, epoch loss=0.532592 Epoch=16, step=20400, lr=0.115000, epoch loss=0.532592 Batch=59, step=20460, lr=0.115000, batch loss=0.003191, epoch loss=0.003191 Batch=119, step=20520, lr=0.114750, batch loss=0.010632, epoch loss=0.013823 Batch=179, step=20580, lr=0.114250, batch loss=0.027076, epoch loss=0.040899 Batch=239, step=20640, lr=0.114250, batch loss=0.015570, epoch loss=0.056470 Batch=299, step=20700, lr=0.113750, batch loss=0.003021, epoch loss=0.059490 Batch=359, step=20760, lr=0.113750, batch loss=0.015368, epoch loss=0.074858 Batch=419, step=20820, lr=0.113500, batch loss=0.016102, epoch loss=0.090960 Batch=479, step=20880, lr=0.113000, batch loss=0.005850, epoch loss=0.096811 Batch=539, step=20940, lr=0.113000, batch loss=0.016155, epoch loss=0.112966 Batch=599, step=21000, lr=0.112750, batch loss=0.019251, epoch loss=0.132217 Batch=659, step=21060, lr=0.112500, batch loss=0.015671, epoch loss=0.147888 Batch=719, step=21120, lr=0.112250, batch loss=0.041257, epoch loss=0.189145 Batch=779, step=21180, lr=0.111750, batch loss=0.075030, epoch loss=0.264175 Batch=839, step=21240, lr=0.111750, batch loss=0.026493, epoch loss=0.290668 Batch=899, step=21300, lr=0.111500, batch loss=0.028018, epoch loss=0.318686 Batch=959, step=21360, lr=0.111250, batch loss=0.010290, epoch loss=0.328976 Batch=1019, step=21420, lr=0.111000, batch loss=0.010967, epoch loss=0.339944 Batch=1079, step=21480, lr=0.110500, batch loss=0.002290, epoch loss=0.342234 Batch=1139, step=21540, lr=0.110250, batch loss=0.012817, epoch loss=0.355051 Batch=1199, step=21600, lr=0.110000, batch loss=0.005371, epoch loss=0.360421 Epoch=17, step=21600, lr=0.110000, epoch loss=0.360421 Batch=59, step=21660, lr=0.109750, batch loss=0.002722, epoch loss=0.002722 Batch=119, step=21720, lr=0.109750, batch loss=0.007041, epoch loss=0.009762 Batch=179, step=21780, lr=0.109500, batch loss=0.012826, epoch loss=0.022589 Batch=239, step=21840, lr=0.109250, batch loss=0.009611, epoch loss=0.032199 Batch=299, step=21900, lr=0.108750, batch loss=0.003187, epoch loss=0.035387 Batch=359, step=21960, lr=0.108750, batch loss=0.015156, epoch loss=0.050542 Batch=419, step=22020, lr=0.108500, batch loss=0.013010, epoch loss=0.063552 Batch=479, step=22080, lr=0.108250, batch loss=0.003426, epoch loss=0.066978 Batch=539, step=22140, lr=0.108000, batch loss=0.017714, epoch loss=0.084692 Batch=599, step=22200, lr=0.107750, batch loss=0.017758, epoch loss=0.102450 Batch=659, step=22260, lr=0.107250, batch loss=0.015166, epoch loss=0.117615 Batch=719, step=22320, lr=0.107250, batch loss=0.025768, epoch loss=0.143383 Batch=779, step=22380, lr=0.107000, batch loss=0.045796, epoch loss=0.189179 Batch=839, step=22440, lr=0.106500, batch loss=0.022182, epoch loss=0.211361 Batch=899, step=22500, lr=0.106500, batch loss=0.022305, epoch loss=0.233666 Batch=959, step=22560, lr=0.106000, batch loss=0.010382, epoch loss=0.244048 Batch=1019, step=22620, lr=0.106000, batch loss=0.010495, epoch loss=0.254543 Batch=1079, step=22680, lr=0.105750, batch loss=0.000505, epoch loss=0.255047 Batch=1139, step=22740, lr=0.105500, batch loss=0.011009, epoch loss=0.266057 Batch=1199, step=22800, lr=0.105250, batch loss=0.004544, epoch loss=0.270601 Epoch=18, step=22800, lr=0.105250, epoch loss=0.270601 Batch=59, step=22860, lr=0.105000, batch loss=0.001622, epoch loss=0.001622 Batch=119, step=22920, lr=0.104750, batch loss=0.005816, epoch loss=0.007439 Batch=179, step=22980, lr=0.104500, batch loss=0.010739, epoch loss=0.018177 Batch=239, step=23040, lr=0.104250, batch loss=0.008542, epoch loss=0.026720 Batch=299, step=23100, lr=0.104000, batch loss=0.007175, epoch loss=0.033894 Batch=359, step=23160, lr=0.103500, batch loss=0.011764, epoch loss=0.045659 Batch=419, step=23220, lr=0.103250, batch loss=0.011088, epoch loss=0.056747 Batch=479, step=23280, lr=0.103000, batch loss=0.002545, epoch loss=0.059293 Batch=539, step=23340, lr=0.103000, batch loss=0.016844, epoch loss=0.076137 Batch=599, step=23400, lr=0.102500, batch loss=0.014607, epoch loss=0.090744 Batch=659, step=23460, lr=0.102250, batch loss=0.011053, epoch loss=0.101797 Batch=719, step=23520, lr=0.102250, batch loss=0.012767, epoch loss=0.114564 Batch=779, step=23580, lr=0.102000, batch loss=0.023669, epoch loss=0.138232 Batch=839, step=23640, lr=0.101500, batch loss=0.025952, epoch loss=0.164185 Batch=899, step=23700, lr=0.101250, batch loss=0.023061, epoch loss=0.187246 Batch=959, step=23760, lr=0.101250, batch loss=0.008525, epoch loss=0.195770 Batch=1019, step=23820, lr=0.100750, batch loss=0.006690, epoch loss=0.202460 Batch=1079, step=23880, lr=0.100750, batch loss=0.002359, epoch loss=0.204820 Batch=1139, step=23940, lr=0.100500, batch loss=0.008833, epoch loss=0.213652 Batch=1199, step=24000, lr=0.100250, batch loss=0.004670, epoch loss=0.218322 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218322 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:55.13 ---> saved as "471ebadac9d5304a086fe47c0202a261b9d7b5c8f173b1212114b0bf5680c11e" Job succeeded 2025-03-20 22:55.14: Job succeeded