2025-04-02 16:38.46: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (463c57039dce5e7ebd23e4739665cbc647a282e4) (linux-x86_64:(lower-bound)) 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 463c5703 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 a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 || git fetch origin master) && git reset -q --hard a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.16.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-04-02 16:38.46: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-38ef3de5b1f070b8d37c668e32ceaf16" 2025-04-02 16:38.46: 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 a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 || git fetch origin master) && git reset -q --hard a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.16.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-04-02 16:38.46: Waiting for resource in pool OCluster 2025-04-02 16:38.46: Waiting for worker… 2025-04-02 16:39.14: Got resource from pool OCluster Building on doris.caelum.ci.dev All commits already cached HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-04-02 16:39.15 ---> 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")) 2025-04-02 16:39.15 ---> 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 2025-04-02 16:39.15 ---> 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 2025-04-02 16:39.15 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-02 16:39.15 ---> 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 a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 || git fetch origin master) && git reset -q --hard a946f3da7b0891f4818e44ad2b5cc54687bbf0c9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..18be678a8e master -> origin/master a946f3da7b Merge pull request #27691 from lukstafi/opam-publish-ppx_minidebug.2.2.0 <><> 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) 2025-04-02 16:40.09 ---> saved as "fad71d62f0bc5248dc779fccd256524c00bbd1f3127bcd2ae370745720aa4460" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-02 16:40.09 ---> saved as "e64453edb0fcfe71547d94f92ed9e6f34867e3556adfe1c8e3e9942b95c063f9" /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) 2025-04-02 16:40.13 ---> saved as "b00a7d495931a64f747c3d1de34eac7954aac5d290be528e7526c3928262fa64" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-02 16:40.13 ---> saved as "a8c9560c317517e3da0777d42034f2f6ac7396e006807cd08a153cf27274ccc9" /src: (env DEPS "angstrom.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.16.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm-updates/main amd64 Packages.diff/Index [16.2 kB] - Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Get:6 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [250 kB] - Fetched 370 kB in 0s (1021 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) ... 2025-04-02 16:40.32 ---> saved as "88b313211a572b2ca0674b6eff40afa3ca0cc068b3f2bc075b074397750795cd" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 74 packages - install angstrom 0.15.0 - install astring 0.8.5 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install camlp-streams 5.0 - install cmdliner 1.1.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install csexp 1.3.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.16.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install fmt 0.9.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.7.0 - install mdx 2.5.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 2.4.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.32.1 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.0 (cached) -> retrieved angstrom.0.15.0 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> retrieved camlp-streams.5.0 (cached) -> installed conf-pkg-config.1.0 -> retrieved cmdliner.1.1.0 (cached) -> retrieved cppo.1.6.7 (cached) -> retrieved csexp.1.3.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved dune.3.16.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.9.0 (cached) -> retrieved integers.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.7.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> installed cmdliner.1.1.0 -> retrieved ocaml-version.2.4.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved ocamlbuild.0.14.3 (cached) -> retrieved ocamlfind.1.9.6 (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) -> retrieved ppx_deriving.5.2 (cached) -> retrieved ppx_expect.v0.17.0 (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_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed fmt.0.9.0 -> installed ptime.0.8.6 -> installed astring.0.8.5 -> installed logs.0.7.0 -> installed dune.3.16.0 -> installed backoff.0.1.0 -> installed bigarray-compat.1.1.0 -> installed bigstringaf.0.5.0 -> installed camlp-streams.5.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed stdlib-shims.0.1.0 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed multicore-magic.2.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.6.7 -> installed csexp.1.3.2 -> installed ocaml-version.2.4.0 -> installed sexplib0.v0.17.0 -> installed integers.0.6.0 -> installed saturn_lockfree.0.5.0 -> installed ocaml-syntax-shims.1.0.0 -> installed dune-configurator.2.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.9.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.13.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.32.1 -> 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_deriving.5.2 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> 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_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-04-02 16:42.13 ---> saved as "2f7b5ba7648e13bcaa9c163b78f2970c07a9b43a88db77a307450d7c664e93f2" /src: (copy (src .) (dst /src)) 2025-04-02 16:42.13 ---> saved as "68e6a464c2d5a136ce40c38eb8aef90f616db65148cafca62376f064f79280d0" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/89c9333d2f4cd46cf1bbbfba890b28be/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7497ffbcbc865a8c722dd7fbf1e4dac3/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/7497ffbcbc865a8c722dd7fbf1e4dac3/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=0.199500, 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=0.190250, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190000, batch loss=0.220716, epoch loss=5.662744 Epoch=1, step=2400, lr=0.190000, epoch loss=5.662744 Batch=59, step=2460, lr=0.190000, batch loss=0.230305, epoch loss=0.230305 Batch=119, step=2520, lr=0.189750, batch loss=0.196025, epoch loss=0.426330 Batch=179, step=2580, lr=0.189500, batch loss=0.221132, epoch loss=0.647462 Batch=239, step=2640, lr=0.189250, batch loss=0.328101, epoch loss=0.975564 Batch=299, step=2700, lr=0.188750, batch loss=0.203003, epoch loss=1.178567 Batch=359, step=2760, lr=0.188750, batch loss=0.289811, epoch loss=1.468379 Batch=419, step=2820, lr=0.188500, batch loss=0.281830, epoch loss=1.750208 Batch=479, step=2880, lr=0.188250, batch loss=0.264741, epoch loss=2.014949 Batch=539, step=2940, lr=0.188000, batch loss=0.203935, epoch loss=2.218884 Batch=599, step=3000, lr=0.187500, batch loss=0.247932, epoch loss=2.466815 Batch=659, step=3060, lr=0.187500, batch loss=0.345091, epoch loss=2.811906 Batch=719, step=3120, lr=0.187250, batch loss=0.343479, epoch loss=3.155385 Batch=779, step=3180, lr=0.187000, batch loss=0.367021, epoch loss=3.522406 Batch=839, step=3240, lr=0.186500, batch loss=0.321760, epoch loss=3.844167 Batch=899, step=3300, lr=0.186500, batch loss=0.283887, epoch loss=4.128054 Batch=959, step=3360, lr=0.186250, batch loss=0.214385, epoch loss=4.342439 Batch=1019, step=3420, lr=0.186000, batch loss=0.306429, epoch loss=4.648869 Batch=1079, step=3480, lr=0.185750, batch loss=0.177301, epoch loss=4.826169 Batch=1139, step=3540, lr=0.185500, batch loss=0.235601, epoch loss=5.061770 Batch=1199, step=3600, lr=0.185250, batch loss=0.197922, epoch loss=5.259692 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259692 Batch=59, step=3660, lr=0.185000, batch loss=0.226524, epoch loss=0.226524 Batch=119, step=3720, lr=0.184500, batch loss=0.191824, epoch loss=0.418348 Batch=179, step=3780, lr=0.184500, batch loss=0.210707, epoch loss=0.629055 Batch=239, step=3840, lr=0.184000, batch loss=0.316994, epoch loss=0.946049 Batch=299, step=3900, lr=0.183750, batch loss=0.206791, epoch loss=1.152839 Batch=359, step=3960, lr=0.183750, batch loss=0.290262, epoch loss=1.443101 Batch=419, step=4020, lr=0.183500, batch loss=0.290679, epoch loss=1.733780 Batch=479, step=4080, lr=0.183250, batch loss=0.259645, epoch loss=1.993425 Batch=539, step=4140, lr=0.182750, batch loss=0.195793, epoch loss=2.189218 Batch=599, step=4200, lr=0.182500, batch loss=0.232189, epoch loss=2.421407 Batch=659, step=4260, lr=0.182500, batch loss=0.335490, epoch loss=2.756897 Batch=719, step=4320, lr=0.182250, batch loss=0.346207, epoch loss=3.103105 Batch=779, step=4380, lr=0.182000, batch loss=0.347139, epoch loss=3.450243 Batch=839, step=4440, lr=0.181500, batch loss=0.316808, epoch loss=3.767051 Batch=899, step=4500, lr=0.181500, batch loss=0.285451, epoch loss=4.052502 Batch=959, step=4560, lr=0.181000, batch loss=0.240583, epoch loss=4.293086 Batch=1019, step=4620, lr=0.181000, batch loss=0.333507, epoch loss=4.626592 Batch=1079, step=4680, lr=0.180500, batch loss=0.212510, epoch loss=4.839102 Batch=1139, step=4740, lr=0.180500, batch loss=0.250411, epoch loss=5.089514 Batch=1199, step=4800, lr=0.180000, batch loss=0.191934, epoch loss=5.281447 Epoch=3, step=4800, lr=0.180000, epoch loss=5.281447 Batch=59, step=4860, lr=0.180000, batch loss=0.227128, epoch loss=0.227128 Batch=119, step=4920, lr=0.179750, batch loss=0.191036, epoch loss=0.418164 Batch=179, step=4980, lr=0.179500, batch loss=0.206041, epoch loss=0.624205 Batch=239, step=5040, lr=0.179250, batch loss=0.308729, epoch loss=0.932934 Batch=299, step=5100, lr=0.179000, batch loss=0.205713, epoch loss=1.138646 Batch=359, step=5160, lr=0.178500, batch loss=0.275703, epoch loss=1.414349 Batch=419, step=5220, lr=0.178250, batch loss=0.272730, epoch loss=1.687080 Batch=479, step=5280, lr=0.178000, batch loss=0.248751, epoch loss=1.935830 Batch=539, step=5340, lr=0.178000, batch loss=0.197543, epoch loss=2.133374 Batch=599, step=5400, lr=0.177750, batch loss=0.239681, epoch loss=2.373055 Batch=659, step=5460, lr=0.177250, batch loss=0.319277, epoch loss=2.692331 Batch=719, step=5520, lr=0.177250, batch loss=0.325394, epoch loss=3.017725 Batch=779, step=5580, lr=0.177000, batch loss=0.342643, epoch loss=3.360368 Batch=839, step=5640, lr=0.176750, batch loss=0.309647, epoch loss=3.670015 Batch=899, step=5700, lr=0.176500, batch loss=0.273463, epoch loss=3.943478 Batch=959, step=5760, lr=0.176250, batch loss=0.214041, epoch loss=4.157519 Batch=1019, step=5820, lr=0.176000, batch loss=0.337117, epoch loss=4.494636 Batch=1079, step=5880, lr=0.175750, batch loss=0.190597, epoch loss=4.685234 Batch=1139, step=5940, lr=0.175500, batch loss=0.221409, epoch loss=4.906643 Batch=1199, step=6000, lr=0.175250, batch loss=0.187113, epoch loss=5.093756 Epoch=4, step=6000, lr=0.175250, epoch loss=5.093756 Batch=59, step=6060, lr=0.175000, batch loss=0.238167, epoch loss=0.238167 Batch=119, step=6120, lr=0.174750, batch loss=0.189841, epoch loss=0.428008 Batch=179, step=6180, lr=0.174500, batch loss=0.201280, epoch loss=0.629287 Batch=239, step=6240, lr=0.174250, batch loss=0.300542, epoch loss=0.929829 Batch=299, step=6300, lr=0.174000, batch loss=0.203328, epoch loss=1.133157 Batch=359, step=6360, lr=0.173750, batch loss=0.261519, epoch loss=1.394676 Batch=419, step=6420, lr=0.173500, batch loss=0.258101, epoch loss=1.652777 Batch=479, step=6480, lr=0.173250, batch loss=0.231411, epoch loss=1.884188 Batch=539, step=6540, lr=0.172750, batch loss=0.185332, epoch loss=2.069521 Batch=599, step=6600, lr=0.172500, batch loss=0.230787, epoch loss=2.300308 Batch=659, step=6660, lr=0.172500, batch loss=0.313790, epoch loss=2.614098 Batch=719, step=6720, lr=0.172250, batch loss=0.314734, epoch loss=2.928832 Batch=779, step=6780, lr=0.172000, batch loss=0.329666, epoch loss=3.258498 Batch=839, step=6840, lr=0.171750, batch loss=0.305261, epoch loss=3.563758 Batch=899, step=6900, lr=0.171250, batch loss=0.264791, epoch loss=3.828549 Batch=959, step=6960, lr=0.171250, batch loss=0.217162, epoch loss=4.045711 Batch=1019, step=7020, lr=0.171000, batch loss=0.329563, epoch loss=4.375274 Batch=1079, step=7080, lr=0.170750, batch loss=0.188234, epoch loss=4.563508 Batch=1139, step=7140, lr=0.170250, batch loss=0.217998, epoch loss=4.781506 Batch=1199, step=7200, lr=0.170250, batch loss=0.182768, epoch loss=4.964273 Epoch=5, step=7200, lr=0.170250, epoch loss=4.964273 Batch=59, step=7260, lr=0.170000, batch loss=0.240850, epoch loss=0.240850 Batch=119, step=7320, lr=0.169500, batch loss=0.180109, epoch loss=0.420959 Batch=179, step=7380, lr=0.169500, batch loss=0.195212, epoch loss=0.616171 Batch=239, step=7440, lr=0.169250, batch loss=0.292357, epoch loss=0.908528 Batch=299, step=7500, lr=0.168750, batch loss=0.206826, epoch loss=1.115354 Batch=359, step=7560, lr=0.168750, batch loss=0.262587, epoch loss=1.377941 Batch=419, step=7620, lr=0.168250, batch loss=0.254535, epoch loss=1.632476 Batch=479, step=7680, lr=0.168250, batch loss=0.239935, epoch loss=1.872411 Batch=539, step=7740, lr=0.168000, batch loss=0.185626, epoch loss=2.058036 Batch=599, step=7800, lr=0.167750, batch loss=0.226116, epoch loss=2.284153 Batch=659, step=7860, lr=0.167500, batch loss=0.304327, epoch loss=2.588480 Batch=719, step=7920, lr=0.167250, batch loss=0.308784, epoch loss=2.897264 Batch=779, step=7980, lr=0.166750, batch loss=0.324151, epoch loss=3.221415 Batch=839, step=8040, lr=0.166500, batch loss=0.293422, epoch loss=3.514837 Batch=899, step=8100, lr=0.166500, batch loss=0.260387, epoch loss=3.775224 Batch=959, step=8160, lr=0.166250, batch loss=0.203873, epoch loss=3.979097 Batch=1019, step=8220, lr=0.166000, batch loss=0.326243, epoch loss=4.305340 Batch=1079, step=8280, lr=0.165500, batch loss=0.197025, epoch loss=4.502365 Batch=1139, step=8340, lr=0.165500, batch loss=0.220703, epoch loss=4.723069 Batch=1199, step=8400, lr=0.165250, batch loss=0.173328, epoch loss=4.896396 Epoch=6, step=8400, lr=0.165250, epoch loss=4.896396 Batch=59, step=8460, lr=0.165000, batch loss=0.211033, epoch loss=0.211033 Batch=119, step=8520, lr=0.164500, batch loss=0.173169, epoch loss=0.384202 Batch=179, step=8580, lr=0.164500, batch loss=0.188338, epoch loss=0.572540 Batch=239, step=8640, lr=0.164250, batch loss=0.279987, epoch loss=0.852527 Batch=299, step=8700, lr=0.163750, batch loss=0.191771, epoch loss=1.044298 Batch=359, step=8760, lr=0.163750, batch loss=0.248682, epoch loss=1.292980 Batch=419, step=8820, lr=0.163250, batch loss=0.244443, epoch loss=1.537423 Batch=479, step=8880, lr=0.163250, batch loss=0.227825, epoch loss=1.765248 Batch=539, step=8940, lr=0.163000, batch loss=0.179708, epoch loss=1.944956 Batch=599, step=9000, lr=0.162750, batch loss=0.216814, epoch loss=2.161771 Batch=659, step=9060, lr=0.162500, batch loss=0.293678, epoch loss=2.455449 Batch=719, step=9120, lr=0.162250, batch loss=0.296858, epoch loss=2.752307 Batch=779, step=9180, lr=0.162000, batch loss=0.315204, epoch loss=3.067511 Batch=839, step=9240, lr=0.161750, batch loss=0.279905, epoch loss=3.347416 Batch=899, step=9300, lr=0.161500, batch loss=0.251131, epoch loss=3.598547 Batch=959, step=9360, lr=0.161250, batch loss=0.188591, epoch loss=3.787138 Batch=1019, step=9420, lr=0.161000, batch loss=0.316581, epoch loss=4.103719 Batch=1079, step=9480, lr=0.160750, batch loss=0.186887, epoch loss=4.290606 Batch=1139, step=9540, lr=0.160500, batch loss=0.212770, epoch loss=4.503377 Batch=1199, step=9600, lr=0.160250, batch loss=0.167478, epoch loss=4.670855 Epoch=7, step=9600, lr=0.160250, epoch loss=4.670855 Batch=59, step=9660, lr=0.160000, batch loss=0.201502, epoch loss=0.201502 Batch=119, step=9720, lr=0.159500, batch loss=0.164420, epoch loss=0.365921 Batch=179, step=9780, lr=0.159500, batch loss=0.178539, epoch loss=0.544460 Batch=239, step=9840, lr=0.159250, batch loss=0.261688, epoch loss=0.806148 Batch=299, step=9900, lr=0.159000, batch loss=0.183498, epoch loss=0.989647 Batch=359, step=9960, lr=0.158500, batch loss=0.238919, epoch loss=1.228566 Batch=419, step=10020, lr=0.158500, batch loss=0.233362, epoch loss=1.461928 Batch=479, step=10080, lr=0.158250, batch loss=0.214028, epoch loss=1.675956 Batch=539, step=10140, lr=0.158000, batch loss=0.172139, epoch loss=1.848094 Batch=599, step=10200, lr=0.157500, batch loss=0.201559, epoch loss=2.049653 Batch=659, step=10260, lr=0.157500, batch loss=0.282904, epoch loss=2.332557 Batch=719, step=10320, lr=0.157250, batch loss=0.282042, epoch loss=2.614599 Batch=779, step=10380, lr=0.157000, batch loss=0.296185, epoch loss=2.910784 Batch=839, step=10440, lr=0.156750, batch loss=0.271527, epoch loss=3.182311 Batch=899, step=10500, lr=0.156500, batch loss=0.236919, epoch loss=3.419230 Batch=959, step=10560, lr=0.156250, batch loss=0.177392, epoch loss=3.596622 Batch=1019, step=10620, lr=0.156000, batch loss=0.298004, epoch loss=3.894625 Batch=1079, step=10680, lr=0.155750, batch loss=0.177083, epoch loss=4.071708 Batch=1139, step=10740, lr=0.155500, batch loss=0.198534, epoch loss=4.270242 Batch=1199, step=10800, lr=0.155250, batch loss=0.154017, epoch loss=4.424259 Epoch=8, step=10800, lr=0.155250, epoch loss=4.424259 Batch=59, step=10860, lr=0.155000, batch loss=0.177563, epoch loss=0.177563 Batch=119, step=10920, lr=0.154750, batch loss=0.152295, epoch loss=0.329858 Batch=179, step=10980, lr=0.154500, batch loss=0.167208, epoch loss=0.497066 Batch=239, step=11040, lr=0.154250, batch loss=0.247994, epoch loss=0.745060 Batch=299, step=11100, lr=0.153750, batch loss=0.164380, epoch loss=0.909440 Batch=359, step=11160, lr=0.153750, batch loss=0.223947, epoch loss=1.133386 Batch=419, step=11220, lr=0.153500, batch loss=0.226623, epoch loss=1.360009 Batch=479, step=11280, lr=0.153250, batch loss=0.203425, epoch loss=1.563434 Batch=539, step=11340, lr=0.153000, batch loss=0.158061, epoch loss=1.721495 Batch=599, step=11400, lr=0.152750, batch loss=0.179557, epoch loss=1.901053 Batch=659, step=11460, lr=0.152250, batch loss=0.264679, epoch loss=2.165732 Batch=719, step=11520, lr=0.152250, batch loss=0.252706, epoch loss=2.418438 Batch=779, step=11580, lr=0.151750, batch loss=0.273804, epoch loss=2.692243 Batch=839, step=11640, lr=0.151750, batch loss=0.253638, epoch loss=2.945881 Batch=899, step=11700, lr=0.151500, batch loss=0.213722, epoch loss=3.159602 Batch=959, step=11760, lr=0.151250, batch loss=0.165721, epoch loss=3.325323 Batch=1019, step=11820, lr=0.151000, batch loss=0.267230, epoch loss=3.592553 Batch=1079, step=11880, lr=0.150500, batch loss=0.149208, epoch loss=3.741761 Batch=1139, step=11940, lr=0.150500, batch loss=0.185765, epoch loss=3.927526 Batch=1199, step=12000, lr=0.150250, batch loss=0.138745, epoch loss=4.066271 Epoch=9, step=12000, lr=0.150250, epoch loss=4.066271 Batch=59, step=12060, lr=0.149750, batch loss=0.157300, epoch loss=0.157300 Batch=119, step=12120, lr=0.149500, batch loss=0.127607, epoch loss=0.284908 Batch=179, step=12180, lr=0.149250, batch loss=0.151990, epoch loss=0.436897 Batch=239, step=12240, lr=0.149250, batch loss=0.217915, epoch loss=0.654813 Batch=299, step=12300, lr=0.148750, batch loss=0.140434, epoch loss=0.795247 Batch=359, step=12360, lr=0.148500, batch loss=0.195363, epoch loss=0.990610 Batch=419, step=12420, lr=0.148500, batch loss=0.204587, epoch loss=1.195197 Batch=479, step=12480, lr=0.148000, batch loss=0.179523, epoch loss=1.374720 Batch=539, step=12540, lr=0.148000, batch loss=0.141234, epoch loss=1.515955 Batch=599, step=12600, lr=0.147750, batch loss=0.151218, epoch loss=1.667172 Batch=659, step=12660, lr=0.147250, batch loss=0.229242, epoch loss=1.896415 Batch=719, step=12720, lr=0.147250, batch loss=0.223997, epoch loss=2.120412 Batch=779, step=12780, lr=0.147000, batch loss=0.242507, epoch loss=2.362919 Batch=839, step=12840, lr=0.146750, batch loss=0.222448, epoch loss=2.585366 Batch=899, step=12900, lr=0.146500, batch loss=0.185139, epoch loss=2.770506 Batch=959, step=12960, lr=0.146000, batch loss=0.140813, epoch loss=2.911319 Batch=1019, step=13020, lr=0.146000, batch loss=0.244322, epoch loss=3.155641 Batch=1079, step=13080, lr=0.145750, batch loss=0.117181, epoch loss=3.272823 Batch=1139, step=13140, lr=0.145500, batch loss=0.160134, epoch loss=3.432957 Batch=1199, step=13200, lr=0.145250, batch loss=0.116954, epoch loss=3.549911 Epoch=10, step=13200, lr=0.145250, epoch loss=3.549911 Batch=59, step=13260, lr=0.144750, batch loss=0.144524, epoch loss=0.144524 Batch=119, step=13320, lr=0.144750, batch loss=0.124476, epoch loss=0.269000 Batch=179, step=13380, lr=0.144500, batch loss=0.128142, epoch loss=0.397142 Batch=239, step=13440, lr=0.144250, batch loss=0.188665, epoch loss=0.585807 Batch=299, step=13500, lr=0.144000, batch loss=0.118100, epoch loss=0.703907 Batch=359, step=13560, lr=0.143750, batch loss=0.163344, epoch loss=0.867251 Batch=419, step=13620, lr=0.143250, batch loss=0.165351, epoch loss=1.032602 Batch=479, step=13680, lr=0.143250, batch loss=0.148173, epoch loss=1.180775 Batch=539, step=13740, lr=0.143000, batch loss=0.115249, epoch loss=1.296024 Batch=599, step=13800, lr=0.142500, batch loss=0.118383, epoch loss=1.414407 Batch=659, step=13860, lr=0.142500, batch loss=0.176094, epoch loss=1.590501 Batch=719, step=13920, lr=0.142250, batch loss=0.171232, epoch loss=1.761733 Batch=779, step=13980, lr=0.142000, batch loss=0.180649, epoch loss=1.942382 Batch=839, step=14040, lr=0.141750, batch loss=0.195033, epoch loss=2.137415 Batch=899, step=14100, lr=0.141500, batch loss=0.207781, epoch loss=2.345196 Batch=959, step=14160, lr=0.141250, batch loss=0.111566, epoch loss=2.456761 Batch=1019, step=14220, lr=0.141000, batch loss=0.196175, epoch loss=2.652936 Batch=1079, step=14280, lr=0.140750, batch loss=0.079391, epoch loss=2.732327 Batch=1139, step=14340, lr=0.140500, batch loss=0.131328, epoch loss=2.863655 Batch=1199, step=14400, lr=0.140250, batch loss=0.084822, epoch loss=2.948477 Epoch=11, step=14400, lr=0.140250, epoch loss=2.948477 Batch=59, step=14460, lr=0.140000, batch loss=0.107587, epoch loss=0.107587 Batch=119, step=14520, lr=0.139750, batch loss=0.103577, epoch loss=0.211165 Batch=179, step=14580, lr=0.139500, batch loss=0.099786, epoch loss=0.310951 Batch=239, step=14640, lr=0.139250, batch loss=0.139219, epoch loss=0.450170 Batch=299, step=14700, lr=0.139000, batch loss=0.073403, epoch loss=0.523574 Batch=359, step=14760, lr=0.138750, batch loss=0.120182, epoch loss=0.643756 Batch=419, step=14820, lr=0.138500, batch loss=0.132921, epoch loss=0.776677 Batch=479, step=14880, lr=0.138250, batch loss=0.093955, epoch loss=0.870632 Batch=539, step=14940, lr=0.138000, batch loss=0.102782, epoch loss=0.973414 Batch=599, step=15000, lr=0.137750, batch loss=0.081696, epoch loss=1.055110 Batch=659, step=15060, lr=0.137500, batch loss=0.123367, epoch loss=1.178477 Batch=719, step=15120, lr=0.137250, batch loss=0.123560, epoch loss=1.302036 Batch=779, step=15180, lr=0.137000, batch loss=0.149296, epoch loss=1.451333 Batch=839, step=15240, lr=0.136750, batch loss=0.172194, epoch loss=1.623527 Batch=899, step=15300, lr=0.136500, batch loss=0.304295, epoch loss=1.927822 Batch=959, step=15360, lr=0.136250, batch loss=0.053355, epoch loss=1.981177 Batch=1019, step=15420, lr=0.136000, batch loss=0.130931, epoch loss=2.112108 Batch=1079, step=15480, lr=0.135750, batch loss=0.044472, epoch loss=2.156580 Batch=1139, step=15540, lr=0.135250, batch loss=0.099060, epoch loss=2.255640 Batch=1199, step=15600, lr=0.135250, batch loss=0.061222, epoch loss=2.316862 Epoch=12, step=15600, lr=0.135250, epoch loss=2.316862 Batch=59, step=15660, lr=0.134750, batch loss=0.074249, epoch loss=0.074249 Batch=119, step=15720, lr=0.134500, batch loss=0.105628, epoch loss=0.179877 Batch=179, step=15780, lr=0.134250, batch loss=0.086714, epoch loss=0.266591 Batch=239, step=15840, lr=0.134250, batch loss=0.090384, epoch loss=0.356975 Batch=299, step=15900, lr=0.133750, batch loss=0.037747, epoch loss=0.394722 Batch=359, step=15960, lr=0.133750, batch loss=0.080103, epoch loss=0.474826 Batch=419, step=16020, lr=0.133500, batch loss=0.075200, epoch loss=0.550025 Batch=479, step=16080, lr=0.133250, batch loss=0.054253, epoch loss=0.604278 Batch=539, step=16140, lr=0.132750, batch loss=0.071703, epoch loss=0.675981 Batch=599, step=16200, lr=0.132750, batch loss=0.178259, epoch loss=0.854240 Batch=659, step=16260, lr=0.132500, batch loss=0.095055, epoch loss=0.949295 Batch=719, step=16320, lr=0.132250, batch loss=0.123554, epoch loss=1.072849 Batch=779, step=16380, lr=0.132000, batch loss=0.287027, epoch loss=1.359876 Batch=839, step=16440, lr=0.131500, batch loss=0.091545, epoch loss=1.451421 Batch=899, step=16500, lr=0.131500, batch loss=0.078329, epoch loss=1.529750 Batch=959, step=16560, lr=0.131250, batch loss=0.030384, epoch loss=1.560134 Batch=1019, step=16620, lr=0.131000, batch loss=0.059199, epoch loss=1.619333 Batch=1079, step=16680, lr=0.130750, batch loss=0.059650, epoch loss=1.678984 Batch=1139, step=16740, lr=0.130500, batch loss=0.105020, epoch loss=1.784003 Batch=1199, step=16800, lr=0.130250, batch loss=0.049938, epoch loss=1.833941 Epoch=13, step=16800, lr=0.130250, epoch loss=1.833941 Batch=59, step=16860, lr=0.130000, batch loss=0.033863, epoch loss=0.033863 Batch=119, step=16920, lr=0.129750, batch loss=0.032072, epoch loss=0.065935 Batch=179, step=16980, lr=0.129500, batch loss=0.043396, epoch loss=0.109331 Batch=239, step=17040, lr=0.129250, batch loss=0.057664, epoch loss=0.166995 Batch=299, step=17100, lr=0.129000, batch loss=0.017996, epoch loss=0.184991 Batch=359, step=17160, lr=0.128750, batch loss=0.041135, epoch loss=0.226126 Batch=419, step=17220, lr=0.128500, batch loss=0.043049, epoch loss=0.269175 Batch=479, step=17280, lr=0.128250, batch loss=0.022244, epoch loss=0.291419 Batch=539, step=17340, lr=0.128000, batch loss=0.032746, epoch loss=0.324165 Batch=599, step=17400, lr=0.127500, batch loss=0.034811, epoch loss=0.358977 Batch=659, step=17460, lr=0.127250, batch loss=0.046080, epoch loss=0.405056 Batch=719, step=17520, lr=0.127250, batch loss=0.054744, epoch loss=0.459800 Batch=779, step=17580, lr=0.127000, batch loss=0.076329, epoch loss=0.536129 Batch=839, step=17640, lr=0.126500, batch loss=0.151369, epoch loss=0.687498 Batch=899, step=17700, lr=0.126500, batch loss=0.059057, epoch loss=0.746555 Batch=959, step=17760, lr=0.126250, batch loss=0.020482, epoch loss=0.767038 Batch=1019, step=17820, lr=0.125750, batch loss=0.030823, epoch loss=0.797861 Batch=1079, step=17880, lr=0.125750, batch loss=0.012103, epoch loss=0.809964 Batch=1139, step=17940, lr=0.125500, batch loss=0.032652, epoch loss=0.842616 Batch=1199, step=18000, lr=0.125000, batch loss=0.014371, epoch loss=0.856987 Epoch=14, step=18000, lr=0.125000, epoch loss=0.856987 Batch=59, step=18060, lr=0.125000, batch loss=0.011790, epoch loss=0.011790 Batch=119, step=18120, lr=0.124500, batch loss=0.018461, epoch loss=0.030250 Batch=179, step=18180, lr=0.124250, batch loss=0.039843, epoch loss=0.070093 Batch=239, step=18240, lr=0.124250, batch loss=0.039791, epoch loss=0.109884 Batch=299, step=18300, lr=0.124000, batch loss=0.023171, epoch loss=0.133055 Batch=359, step=18360, lr=0.123500, batch loss=0.021938, epoch loss=0.154993 Batch=419, step=18420, lr=0.123500, batch loss=0.025566, epoch loss=0.180559 Batch=479, step=18480, lr=0.123250, batch loss=0.017457, epoch loss=0.198017 Batch=539, step=18540, lr=0.123000, batch loss=0.042811, epoch loss=0.240828 Batch=599, step=18600, lr=0.122750, batch loss=0.026966, epoch loss=0.267793 Batch=659, step=18660, lr=0.122500, batch loss=0.033851, epoch loss=0.301645 Batch=719, step=18720, lr=0.122250, batch loss=0.024300, epoch loss=0.325944 Batch=779, step=18780, lr=0.122000, batch loss=0.055936, epoch loss=0.381880 Batch=839, step=18840, lr=0.121500, batch loss=0.060188, epoch loss=0.442068 Batch=899, step=18900, lr=0.121500, batch loss=0.094106, epoch loss=0.536174 Batch=959, step=18960, lr=0.121250, batch loss=0.018288, epoch loss=0.554461 Batch=1019, step=19020, lr=0.121000, batch loss=0.030387, epoch loss=0.584849 Batch=1079, step=19080, lr=0.120750, batch loss=0.005162, epoch loss=0.590011 Batch=1139, step=19140, lr=0.120500, batch loss=0.019067, epoch loss=0.609078 Batch=1199, step=19200, lr=0.120250, batch loss=0.011236, epoch loss=0.620313 Epoch=15, step=19200, lr=0.120250, epoch loss=0.620313 Batch=59, step=19260, lr=0.120000, batch loss=0.005436, epoch loss=0.005436 Batch=119, step=19320, lr=0.119750, batch loss=0.012856, epoch loss=0.018292 Batch=179, step=19380, lr=0.119250, batch loss=0.033796, epoch loss=0.052088 Batch=239, step=19440, lr=0.119250, batch loss=0.020509, epoch loss=0.072596 Batch=299, step=19500, lr=0.119000, batch loss=0.006497, epoch loss=0.079093 Batch=359, step=19560, lr=0.118750, batch loss=0.021809, epoch loss=0.100902 Batch=419, step=19620, lr=0.118500, batch loss=0.018401, epoch loss=0.119303 Batch=479, step=19680, lr=0.118250, batch loss=0.008613, epoch loss=0.127915 Batch=539, step=19740, lr=0.118000, batch loss=0.016896, epoch loss=0.144811 Batch=599, step=19800, lr=0.117750, batch loss=0.021672, epoch loss=0.166483 Batch=659, step=19860, lr=0.117500, batch loss=0.017275, epoch loss=0.183758 Batch=719, step=19920, lr=0.117250, batch loss=0.039503, epoch loss=0.223261 Batch=779, step=19980, lr=0.117000, batch loss=0.084973, epoch loss=0.308234 Batch=839, step=20040, lr=0.116750, batch loss=0.030387, epoch loss=0.338622 Batch=899, step=20100, lr=0.116500, batch loss=0.030631, epoch loss=0.369253 Batch=959, step=20160, lr=0.116250, batch loss=0.011149, epoch loss=0.380402 Batch=1019, step=20220, lr=0.116000, batch loss=0.012742, epoch loss=0.393145 Batch=1079, step=20280, lr=0.115750, batch loss=0.004417, epoch loss=0.397561 Batch=1139, step=20340, lr=0.115500, batch loss=0.016463, epoch loss=0.414024 Batch=1199, step=20400, lr=0.115250, batch loss=0.006652, epoch loss=0.420676 Epoch=16, step=20400, lr=0.115250, epoch loss=0.420676 Batch=59, step=20460, lr=0.115000, batch loss=0.003184, epoch loss=0.003184 Batch=119, step=20520, lr=0.114750, batch loss=0.009092, epoch loss=0.012275 Batch=179, step=20580, lr=0.114500, batch loss=0.019877, epoch loss=0.032153 Batch=239, step=20640, lr=0.114250, batch loss=0.019619, epoch loss=0.051772 Batch=299, step=20700, lr=0.114000, batch loss=0.010253, epoch loss=0.062025 Batch=359, step=20760, lr=0.113750, batch loss=0.014257, epoch loss=0.076282 Batch=419, step=20820, lr=0.113500, batch loss=0.014616, epoch loss=0.090898 Batch=479, step=20880, lr=0.113250, batch loss=0.003308, epoch loss=0.094206 Batch=539, step=20940, lr=0.113000, batch loss=0.018079, epoch loss=0.112285 Batch=599, step=21000, lr=0.112750, batch loss=0.020593, epoch loss=0.132877 Batch=659, step=21060, lr=0.112500, batch loss=0.013787, epoch loss=0.146664 Batch=719, step=21120, lr=0.112250, batch loss=0.037107, epoch loss=0.183770 Batch=779, step=21180, lr=0.112000, batch loss=0.074843, epoch loss=0.258614 Batch=839, step=21240, lr=0.111750, batch loss=0.026087, epoch loss=0.284701 Batch=899, step=21300, lr=0.111500, batch loss=0.034699, epoch loss=0.319400 Batch=959, step=21360, lr=0.111250, batch loss=0.010067, epoch loss=0.329467 Batch=1019, step=21420, lr=0.111000, batch loss=0.011505, epoch loss=0.340973 Batch=1079, step=21480, lr=0.110500, batch loss=0.000755, epoch loss=0.341727 Batch=1139, step=21540, lr=0.110500, batch loss=0.013092, epoch loss=0.354819 Batch=1199, step=21600, lr=0.110250, batch loss=0.005183, epoch loss=0.360002 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360002 Batch=59, step=21660, lr=0.110000, batch loss=0.002531, epoch loss=0.002531 Batch=119, step=21720, lr=0.109750, batch loss=0.006416, epoch loss=0.008947 Batch=179, step=21780, lr=0.109500, batch loss=0.012547, epoch loss=0.021494 Batch=239, step=21840, lr=0.109250, batch loss=0.009019, epoch loss=0.030513 Batch=299, step=21900, lr=0.109000, batch loss=0.004101, epoch loss=0.034614 Batch=359, step=21960, lr=0.108750, batch loss=0.013559, epoch loss=0.048173 Batch=419, step=22020, lr=0.108250, batch loss=0.012334, epoch loss=0.060507 Batch=479, step=22080, lr=0.108250, batch loss=0.002923, epoch loss=0.063430 Batch=539, step=22140, lr=0.108000, batch loss=0.017410, epoch loss=0.080840 Batch=599, step=22200, lr=0.107750, batch loss=0.016914, epoch loss=0.097755 Batch=659, step=22260, lr=0.107500, batch loss=0.014859, epoch loss=0.112614 Batch=719, step=22320, lr=0.107250, batch loss=0.024979, epoch loss=0.137593 Batch=779, step=22380, lr=0.107000, batch loss=0.035845, epoch loss=0.173438 Batch=839, step=22440, lr=0.106500, batch loss=0.025955, epoch loss=0.199393 Batch=899, step=22500, lr=0.106250, batch loss=0.025652, epoch loss=0.225044 Batch=959, step=22560, lr=0.106250, batch loss=0.009490, epoch loss=0.234535 Batch=1019, step=22620, lr=0.106000, batch loss=0.008737, epoch loss=0.243272 Batch=1079, step=22680, lr=0.105750, batch loss=0.000716, epoch loss=0.243988 Batch=1139, step=22740, lr=0.105500, batch loss=0.010774, epoch loss=0.254761 Batch=1199, step=22800, lr=0.105250, batch loss=0.004642, epoch loss=0.259403 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259403 Batch=59, step=22860, lr=0.105000, batch loss=0.001927, epoch loss=0.001927 Batch=119, step=22920, lr=0.104750, batch loss=0.005803, epoch loss=0.007730 Batch=179, step=22980, lr=0.104500, batch loss=0.010693, epoch loss=0.018423 Batch=239, step=23040, lr=0.104000, batch loss=0.009095, epoch loss=0.027518 Batch=299, step=23100, lr=0.104000, batch loss=0.001272, epoch loss=0.028790 Batch=359, step=23160, lr=0.103750, batch loss=0.010979, epoch loss=0.039769 Batch=419, step=23220, lr=0.103250, batch loss=0.010180, epoch loss=0.049949 Batch=479, step=23280, lr=0.103250, batch loss=0.002531, epoch loss=0.052480 Batch=539, step=23340, lr=0.103000, batch loss=0.017294, epoch loss=0.069774 Batch=599, step=23400, lr=0.102750, batch loss=0.013321, epoch loss=0.083095 Batch=659, step=23460, lr=0.102500, batch loss=0.011546, epoch loss=0.094641 Batch=719, step=23520, lr=0.102000, batch loss=0.009693, epoch loss=0.104334 Batch=779, step=23580, lr=0.102000, batch loss=0.010570, epoch loss=0.114905 Batch=839, step=23640, lr=0.101500, batch loss=0.018321, epoch loss=0.133225 Batch=899, step=23700, lr=0.101500, batch loss=0.023270, epoch loss=0.156496 Batch=959, step=23760, lr=0.101250, batch loss=0.007998, epoch loss=0.164493 Batch=1019, step=23820, lr=0.100750, batch loss=0.007170, epoch loss=0.171663 Batch=1079, step=23880, lr=0.100500, batch loss=0.001182, epoch loss=0.172845 Batch=1139, step=23940, lr=0.100500, batch loss=0.008373, epoch loss=0.181217 Batch=1199, step=24000, lr=0.100250, batch loss=0.003958, epoch loss=0.185175 Epoch=19, step=24000, lr=0.100250, epoch loss=0.185175 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#*********************************......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%.........**************##*#####*************************.....%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-02 16:42.54 ---> saved as "793a18540fcc120b80b59dc07e0480534ed5576941dd2acc8d64800c840886c8" Job succeeded 2025-04-02 16:42.55: Job succeeded