2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef 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 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-21 12:35.26: 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")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:36.24: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-21 12:36.25 ---> 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")) 2025-03-21 12:36.25 ---> 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 2025-03-21 12:36.25 ---> 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 2025-03-21 12:36.25 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:36.25 ---> 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) 2025-03-21 12:38.14 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:38.15 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" /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) 2025-03-21 12:38.22 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:38.23 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /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 1s (371 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) ... 2025-03-21 12:39.08 ---> saved as "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86" /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 dune.3.17.2, dune-configurator.3.17.2 (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 ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed 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 parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed printbox-text.0.12 -> installed ppx_cold.v0.17.0 -> installed printbox-md.0.12 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:41.00 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" /src: (copy (src .) (dst /src)) 2025-03-21 12:41.01 ---> saved as "4bf288ac921abc8cb46ff2bc3623d115d508257f1777453cfa8d725a9a12b19b" /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/e5657c51417299f29fbe0169cb69520c/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/9e414a63fd89083698760a3ac310d80e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5657c51417299f29fbe0169cb69520c/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/e5657c51417299f29fbe0169cb69520c/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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435 Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073792 Batch=359, step=360, lr=0.198750, batch loss=1.325710, epoch loss=38.399502 Batch=419, step=420, lr=0.198500, batch loss=0.622274, epoch loss=39.021777 Batch=479, step=480, lr=0.198250, batch loss=0.816239, epoch loss=39.838015 Batch=539, step=540, lr=0.198000, batch loss=0.700244, epoch loss=40.538260 Batch=599, step=600, lr=0.197750, batch loss=1.070824, epoch loss=41.609083 Batch=659, step=660, lr=0.197500, batch loss=0.483184, epoch loss=42.092267 Batch=719, step=720, lr=0.197250, batch loss=0.411563, epoch loss=42.503831 Batch=779, step=780, lr=0.197000, batch loss=0.469673, epoch loss=42.973504 Batch=839, step=840, lr=0.196750, batch loss=0.444734, epoch loss=43.418237 Batch=899, step=900, lr=0.196500, batch loss=0.383058, epoch loss=43.801295 Batch=959, step=960, lr=0.196250, batch loss=0.240421, epoch loss=44.041716 Batch=1019, step=1020, lr=0.196000, batch loss=0.438896, epoch loss=44.480613 Batch=1079, step=1080, lr=0.195750, batch loss=0.226064, epoch loss=44.706676 Batch=1139, step=1140, lr=0.195250, batch loss=0.314961, epoch loss=45.021637 Batch=1199, step=1200, lr=0.195000, batch loss=0.262373, epoch loss=45.284010 Epoch=0, step=1200, lr=0.195000, epoch loss=45.284010 Batch=59, step=1260, lr=0.195000, batch loss=0.261931, epoch loss=0.261931 Batch=119, step=1320, lr=0.194750, batch loss=0.210935, epoch loss=0.472866 Batch=179, step=1380, lr=0.194500, batch loss=0.245893, epoch loss=0.718758 Batch=239, step=1440, lr=0.194250, batch loss=0.350889, epoch loss=1.069647 Batch=299, step=1500, lr=0.194000, batch loss=0.238434, epoch loss=1.308082 Batch=359, step=1560, lr=0.193750, batch loss=0.312523, epoch loss=1.620605 Batch=419, step=1620, lr=0.193500, batch loss=0.307508, epoch loss=1.928113 Batch=479, step=1680, lr=0.193250, batch loss=0.272434, epoch loss=2.200547 Batch=539, step=1740, lr=0.193000, batch loss=0.210781, epoch loss=2.411329 Batch=599, step=1800, lr=0.192750, batch loss=0.251759, epoch loss=2.663088 Batch=659, step=1860, lr=0.192500, batch loss=0.374077, epoch loss=3.037165 Batch=719, step=1920, lr=0.192250, batch loss=0.357892, epoch loss=3.395057 Batch=779, step=1980, lr=0.192000, batch loss=0.385280, epoch loss=3.780337 Batch=839, step=2040, lr=0.191750, batch loss=0.347752, epoch loss=4.128089 Batch=899, step=2100, lr=0.191500, batch loss=0.325678, epoch loss=4.453767 Batch=959, step=2160, lr=0.191250, batch loss=0.254629, epoch loss=4.708396 Batch=1019, step=2220, lr=0.191000, batch loss=0.395254, epoch loss=5.103650 Batch=1079, step=2280, lr=0.190750, batch loss=0.243615, epoch loss=5.347266 Batch=1139, step=2340, lr=0.190250, batch loss=0.273906, epoch loss=5.621172 Batch=1199, step=2400, lr=0.190250, batch loss=0.211888, epoch loss=5.833060 Epoch=1, step=2400, lr=0.190250, epoch loss=5.833060 Batch=59, step=2460, lr=0.190000, batch loss=0.230541, epoch loss=0.230541 Batch=119, step=2520, lr=0.189750, batch loss=0.197005, epoch loss=0.427546 Batch=179, step=2580, lr=0.189500, batch loss=0.221801, epoch loss=0.649346 Batch=239, step=2640, lr=0.189250, batch loss=0.329555, epoch loss=0.978901 Batch=299, step=2700, lr=0.189000, batch loss=0.204424, epoch loss=1.183325 Batch=359, step=2760, lr=0.188750, batch loss=0.288290, epoch loss=1.471615 Batch=419, step=2820, lr=0.188500, batch loss=0.280756, epoch loss=1.752370 Batch=479, step=2880, lr=0.188250, batch loss=0.252481, epoch loss=2.004852 Batch=539, step=2940, lr=0.188000, batch loss=0.192550, epoch loss=2.197402 Batch=599, step=3000, lr=0.187750, batch loss=0.225438, epoch loss=2.422840 Batch=659, step=3060, lr=0.187250, batch loss=0.332108, epoch loss=2.754948 Batch=719, step=3120, lr=0.187250, batch loss=0.335140, epoch loss=3.090087 Batch=779, step=3180, lr=0.187000, batch loss=0.356255, epoch loss=3.446343 Batch=839, step=3240, lr=0.186500, batch loss=0.328369, epoch loss=3.774712 Batch=899, step=3300, lr=0.186500, batch loss=0.300145, epoch loss=4.074857 Batch=959, step=3360, lr=0.186250, batch loss=0.233663, epoch loss=4.308521 Batch=1019, step=3420, lr=0.185750, batch loss=0.340801, epoch loss=4.649321 Batch=1079, step=3480, lr=0.185750, batch loss=0.191086, epoch loss=4.840408 Batch=1139, step=3540, lr=0.185500, batch loss=0.232263, epoch loss=5.072670 Batch=1199, step=3600, lr=0.185250, batch loss=0.198663, epoch loss=5.271333 Epoch=2, step=3600, lr=0.185250, epoch loss=5.271333 Batch=59, step=3660, lr=0.184750, batch loss=0.227642, epoch loss=0.227642 Batch=119, step=3720, lr=0.184750, batch loss=0.190886, epoch loss=0.418528 Batch=179, step=3780, lr=0.184500, batch loss=0.211696, epoch loss=0.630225 Batch=239, step=3840, lr=0.184250, batch loss=0.315506, epoch loss=0.945731 Batch=299, step=3900, lr=0.183750, batch loss=0.205893, epoch loss=1.151624 Batch=359, step=3960, lr=0.183750, batch loss=0.281133, epoch loss=1.432757 Batch=419, step=4020, lr=0.183250, batch loss=0.273962, epoch loss=1.706719 Batch=479, step=4080, lr=0.183000, batch loss=0.253143, epoch loss=1.959862 Batch=539, step=4140, lr=0.182750, batch loss=0.191339, epoch loss=2.151202 Batch=599, step=4200, lr=0.182500, batch loss=0.236421, epoch loss=2.387623 Batch=659, step=4260, lr=0.182250, batch loss=0.332597, epoch loss=2.720219 Batch=719, step=4320, lr=0.182000, batch loss=0.339994, epoch loss=3.060213 Batch=779, step=4380, lr=0.182000, batch loss=0.353428, epoch loss=3.413641 Batch=839, step=4440, lr=0.181500, batch loss=0.315876, epoch loss=3.729517 Batch=899, step=4500, lr=0.181250, batch loss=0.283550, epoch loss=4.013068 Batch=959, step=4560, lr=0.181000, batch loss=0.227663, epoch loss=4.240730 Batch=1019, step=4620, lr=0.180750, batch loss=0.331890, epoch loss=4.572621 Batch=1079, step=4680, lr=0.180500, batch loss=0.191434, epoch loss=4.764055 Batch=1139, step=4740, lr=0.180250, batch loss=0.226116, epoch loss=4.990171 Batch=1199, step=4800, lr=0.180250, batch loss=0.193501, epoch loss=5.183672 Epoch=3, step=4800, lr=0.180250, epoch loss=5.183672 Batch=59, step=4860, lr=0.179750, batch loss=0.231986, epoch loss=0.231986 Batch=119, step=4920, lr=0.179500, batch loss=0.193866, epoch loss=0.425852 Batch=179, step=4980, lr=0.179250, batch loss=0.206216, epoch loss=0.632068 Batch=239, step=5040, lr=0.179000, batch loss=0.308340, epoch loss=0.940408 Batch=299, step=5100, lr=0.178750, batch loss=0.207154, epoch loss=1.147561 Batch=359, step=5160, lr=0.178750, batch loss=0.275329, epoch loss=1.422890 Batch=419, step=5220, lr=0.178250, batch loss=0.269062, epoch loss=1.691952 Batch=479, step=5280, lr=0.178000, batch loss=0.253411, epoch loss=1.945362 Batch=539, step=5340, lr=0.177750, batch loss=0.192868, epoch loss=2.138231 Batch=599, step=5400, lr=0.177750, batch loss=0.238806, epoch loss=2.377037 Batch=659, step=5460, lr=0.177500, batch loss=0.319927, epoch loss=2.696964 Batch=719, step=5520, lr=0.177000, batch loss=0.324274, epoch loss=3.021238 Batch=779, step=5580, lr=0.177000, batch loss=0.339402, epoch loss=3.360639 Batch=839, step=5640, lr=0.176500, batch loss=0.312456, epoch loss=3.673095 Batch=899, step=5700, lr=0.176250, batch loss=0.276992, epoch loss=3.950087 Batch=959, step=5760, lr=0.176000, batch loss=0.209621, epoch loss=4.159708 Batch=1019, step=5820, lr=0.175750, batch loss=0.339440, epoch loss=4.499148 Batch=1079, step=5880, lr=0.175500, batch loss=0.209850, epoch loss=4.708998 Batch=1139, step=5940, lr=0.175250, batch loss=0.238526, epoch loss=4.947524 Batch=1199, step=6000, lr=0.175000, batch loss=0.187539, epoch loss=5.135062 Epoch=4, step=6000, lr=0.175000, epoch loss=5.135062 Batch=59, step=6060, lr=0.174750, batch loss=0.223021, epoch loss=0.223021 Batch=119, step=6120, lr=0.174500, batch loss=0.185805, epoch loss=0.408825 Batch=179, step=6180, lr=0.174250, batch loss=0.200967, epoch loss=0.609793 Batch=239, step=6240, lr=0.174000, batch loss=0.302269, epoch loss=0.912062 Batch=299, step=6300, lr=0.173750, batch loss=0.209983, epoch loss=1.122045 Batch=359, step=6360, lr=0.173750, batch loss=0.274633, epoch loss=1.396678 Batch=419, step=6420, lr=0.173250, batch loss=0.267252, epoch loss=1.663930 Batch=479, step=6480, lr=0.173250, batch loss=0.241406, epoch loss=1.905337 Batch=539, step=6540, lr=0.172750, batch loss=0.195975, epoch loss=2.101311 Batch=599, step=6600, lr=0.172750, batch loss=0.232583, epoch loss=2.333895 Batch=659, step=6660, lr=0.172500, batch loss=0.313687, epoch loss=2.647582 Batch=719, step=6720, lr=0.172000, batch loss=0.318160, epoch loss=2.965741 Batch=779, step=6780, lr=0.172000, batch loss=0.329298, epoch loss=3.295040 Batch=839, step=6840, lr=0.171500, batch loss=0.301667, epoch loss=3.596707 Batch=899, step=6900, lr=0.171500, batch loss=0.270969, epoch loss=3.867676 Batch=959, step=6960, lr=0.171250, batch loss=0.205699, epoch loss=4.073375 Batch=1019, step=7020, lr=0.171000, batch loss=0.329709, epoch loss=4.403083 Batch=1079, step=7080, lr=0.170750, batch loss=0.172615, epoch loss=4.575698 Batch=1139, step=7140, lr=0.170500, batch loss=0.212822, epoch loss=4.788520 Batch=1199, step=7200, lr=0.170250, batch loss=0.191518, epoch loss=4.980038 Epoch=5, step=7200, lr=0.170250, epoch loss=4.980038 Batch=59, step=7260, lr=0.170000, batch loss=0.223540, epoch loss=0.223540 Batch=119, step=7320, lr=0.169750, batch loss=0.190109, epoch loss=0.413649 Batch=179, step=7380, lr=0.169500, batch loss=0.194821, epoch loss=0.608470 Batch=239, step=7440, lr=0.169000, batch loss=0.290627, epoch loss=0.899097 Batch=299, step=7500, lr=0.169000, batch loss=0.208132, epoch loss=1.107228 Batch=359, step=7560, lr=0.168750, batch loss=0.260673, epoch loss=1.367901 Batch=419, step=7620, lr=0.168500, batch loss=0.254378, epoch loss=1.622279 Batch=479, step=7680, lr=0.168000, batch loss=0.238036, epoch loss=1.860315 Batch=539, step=7740, lr=0.168000, batch loss=0.184970, epoch loss=2.045285 Batch=599, step=7800, lr=0.167750, batch loss=0.226850, epoch loss=2.272135 Batch=659, step=7860, lr=0.167500, batch loss=0.304888, epoch loss=2.577023 Batch=719, step=7920, lr=0.167250, batch loss=0.309081, epoch loss=2.886104 Batch=779, step=7980, lr=0.167000, batch loss=0.329535, epoch loss=3.215639 Batch=839, step=8040, lr=0.166500, batch loss=0.292163, epoch loss=3.507802 Batch=899, step=8100, lr=0.166250, batch loss=0.263544, epoch loss=3.771345 Batch=959, step=8160, lr=0.166000, batch loss=0.207989, epoch loss=3.979334 Batch=1019, step=8220, lr=0.166000, batch loss=0.320183, epoch loss=4.299518 Batch=1079, step=8280, lr=0.165500, batch loss=0.178221, epoch loss=4.477739 Batch=1139, step=8340, lr=0.165250, batch loss=0.208839, epoch loss=4.686578 Batch=1199, step=8400, lr=0.165250, batch loss=0.178061, epoch loss=4.864640 Epoch=6, step=8400, lr=0.165250, epoch loss=4.864640 Batch=59, step=8460, lr=0.164750, batch loss=0.231663, epoch loss=0.231663 Batch=119, step=8520, lr=0.164750, batch loss=0.172730, epoch loss=0.404394 Batch=179, step=8580, lr=0.164500, batch loss=0.187557, epoch loss=0.591950 Batch=239, step=8640, lr=0.164250, batch loss=0.276416, epoch loss=0.868366 Batch=299, step=8700, lr=0.164000, batch loss=0.186450, epoch loss=1.054817 Batch=359, step=8760, lr=0.163750, batch loss=0.244061, epoch loss=1.298877 Batch=419, step=8820, lr=0.163500, batch loss=0.238663, epoch loss=1.537540 Batch=479, step=8880, lr=0.163000, batch loss=0.214187, epoch loss=1.751727 Batch=539, step=8940, lr=0.162750, batch loss=0.176895, epoch loss=1.928622 Batch=599, step=9000, lr=0.162750, batch loss=0.219745, epoch loss=2.148367 Batch=659, step=9060, lr=0.162500, batch loss=0.292713, epoch loss=2.441080 Batch=719, step=9120, lr=0.162250, batch loss=0.296595, epoch loss=2.737675 Batch=779, step=9180, lr=0.162000, batch loss=0.314064, epoch loss=3.051739 Batch=839, step=9240, lr=0.161750, batch loss=0.281685, epoch loss=3.333424 Batch=899, step=9300, lr=0.161500, batch loss=0.253223, epoch loss=3.586647 Batch=959, step=9360, lr=0.161000, batch loss=0.187152, epoch loss=3.773798 Batch=1019, step=9420, lr=0.160750, batch loss=0.313662, epoch loss=4.087460 Batch=1079, step=9480, lr=0.160750, batch loss=0.190665, epoch loss=4.278125 Batch=1139, step=9540, lr=0.160500, batch loss=0.210699, epoch loss=4.488824 Batch=1199, step=9600, lr=0.160250, batch loss=0.167324, epoch loss=4.656148 Epoch=7, step=9600, lr=0.160250, epoch loss=4.656148 Batch=59, step=9660, lr=0.160000, batch loss=0.201094, epoch loss=0.201094 Batch=119, step=9720, lr=0.159750, batch loss=0.164430, epoch loss=0.365524 Batch=179, step=9780, lr=0.159500, batch loss=0.178604, epoch loss=0.544128 Batch=239, step=9840, lr=0.159250, batch loss=0.263669, epoch loss=0.807797 Batch=299, step=9900, lr=0.159000, batch loss=0.181001, epoch loss=0.988799 Batch=359, step=9960, lr=0.158750, batch loss=0.239956, epoch loss=1.228754 Batch=419, step=10020, lr=0.158500, batch loss=0.232844, epoch loss=1.461598 Batch=479, step=10080, lr=0.158250, batch loss=0.214029, epoch loss=1.675627 Batch=539, step=10140, lr=0.158000, batch loss=0.171187, epoch loss=1.846815 Batch=599, step=10200, lr=0.157750, batch loss=0.202529, epoch loss=2.049344 Batch=659, step=10260, lr=0.157500, batch loss=0.281374, epoch loss=2.330718 Batch=719, step=10320, lr=0.157250, batch loss=0.287370, epoch loss=2.618088 Batch=779, step=10380, lr=0.157000, batch loss=0.295444, epoch loss=2.913532 Batch=839, step=10440, lr=0.156750, batch loss=0.267417, epoch loss=3.180949 Batch=899, step=10500, lr=0.156500, batch loss=0.242742, epoch loss=3.423691 Batch=959, step=10560, lr=0.156250, batch loss=0.197974, epoch loss=3.621665 Batch=1019, step=10620, lr=0.156000, batch loss=0.282480, epoch loss=3.904145 Batch=1079, step=10680, lr=0.155750, batch loss=0.167606, epoch loss=4.071751 Batch=1139, step=10740, lr=0.155500, batch loss=0.195254, epoch loss=4.267005 Batch=1199, step=10800, lr=0.155250, batch loss=0.154820, epoch loss=4.421825 Epoch=8, step=10800, lr=0.155250, epoch loss=4.421825 Batch=59, step=10860, lr=0.155000, batch loss=0.187829, epoch loss=0.187829 Batch=119, step=10920, lr=0.154750, batch loss=0.152059, epoch loss=0.339888 Batch=179, step=10980, lr=0.154500, batch loss=0.166478, epoch loss=0.506366 Batch=239, step=11040, lr=0.154250, batch loss=0.240942, epoch loss=0.747308 Batch=299, step=11100, lr=0.154000, batch loss=0.174733, epoch loss=0.922041 Batch=359, step=11160, lr=0.153750, batch loss=0.222088, epoch loss=1.144129 Batch=419, step=11220, lr=0.153500, batch loss=0.227558, epoch loss=1.371687 Batch=479, step=11280, lr=0.153250, batch loss=0.205723, epoch loss=1.577410 Batch=539, step=11340, lr=0.153000, batch loss=0.158876, epoch loss=1.736287 Batch=599, step=11400, lr=0.152750, batch loss=0.187184, epoch loss=1.923470 Batch=659, step=11460, lr=0.152500, batch loss=0.263733, epoch loss=2.187204 Batch=719, step=11520, lr=0.152250, batch loss=0.255034, epoch loss=2.442238 Batch=779, step=11580, lr=0.152000, batch loss=0.272158, epoch loss=2.714396 Batch=839, step=11640, lr=0.151750, batch loss=0.256431, epoch loss=2.970827 Batch=899, step=11700, lr=0.151500, batch loss=0.217876, epoch loss=3.188703 Batch=959, step=11760, lr=0.151250, batch loss=0.174270, epoch loss=3.362974 Batch=1019, step=11820, lr=0.151000, batch loss=0.261124, epoch loss=3.624098 Batch=1079, step=11880, lr=0.150750, batch loss=0.144442, epoch loss=3.768540 Batch=1139, step=11940, lr=0.150500, batch loss=0.181400, epoch loss=3.949939 Batch=1199, step=12000, lr=0.150250, batch loss=0.140237, epoch loss=4.090176 Epoch=9, step=12000, lr=0.150250, epoch loss=4.090176 Batch=59, step=12060, lr=0.150000, batch loss=0.162014, epoch loss=0.162014 Batch=119, step=12120, lr=0.149750, batch loss=0.137373, epoch loss=0.299388 Batch=179, step=12180, lr=0.149500, batch loss=0.151663, epoch loss=0.451050 Batch=239, step=12240, lr=0.149250, batch loss=0.221149, epoch loss=0.672199 Batch=299, step=12300, lr=0.149000, batch loss=0.142389, epoch loss=0.814588 Batch=359, step=12360, lr=0.148750, batch loss=0.199380, epoch loss=1.013968 Batch=419, step=12420, lr=0.148500, batch loss=0.205586, epoch loss=1.219554 Batch=479, step=12480, lr=0.148250, batch loss=0.181512, epoch loss=1.401067 Batch=539, step=12540, lr=0.148000, batch loss=0.142410, epoch loss=1.543476 Batch=599, step=12600, lr=0.147750, batch loss=0.151061, epoch loss=1.694537 Batch=659, step=12660, lr=0.147500, batch loss=0.226459, epoch loss=1.920996 Batch=719, step=12720, lr=0.147250, batch loss=0.237874, epoch loss=2.158870 Batch=779, step=12780, lr=0.147000, batch loss=0.262809, epoch loss=2.421678 Batch=839, step=12840, lr=0.146750, batch loss=0.236774, epoch loss=2.658453 Batch=899, step=12900, lr=0.146500, batch loss=0.223879, epoch loss=2.882331 Batch=959, step=12960, lr=0.146250, batch loss=0.143596, epoch loss=3.025927 Batch=1019, step=13020, lr=0.146000, batch loss=0.219634, epoch loss=3.245561 Batch=1079, step=13080, lr=0.145750, batch loss=0.111383, epoch loss=3.356944 Batch=1139, step=13140, lr=0.145500, batch loss=0.144552, epoch loss=3.501496 Batch=1199, step=13200, lr=0.145250, batch loss=0.121526, epoch loss=3.623022 Epoch=10, step=13200, lr=0.145250, epoch loss=3.623022 Batch=59, step=13260, lr=0.145000, batch loss=0.137949, epoch loss=0.137949 Batch=119, step=13320, lr=0.144750, batch loss=0.117887, epoch loss=0.255836 Batch=179, step=13380, lr=0.144500, batch loss=0.127340, epoch loss=0.383176 Batch=239, step=13440, lr=0.144250, batch loss=0.184136, epoch loss=0.567312 Batch=299, step=13500, lr=0.144000, batch loss=0.120698, epoch loss=0.688009 Batch=359, step=13560, lr=0.143750, batch loss=0.162242, epoch loss=0.850251 Batch=419, step=13620, lr=0.143500, batch loss=0.161723, epoch loss=1.011974 Batch=479, step=13680, lr=0.143250, batch loss=0.148942, epoch loss=1.160916 Batch=539, step=13740, lr=0.143000, batch loss=0.117946, epoch loss=1.278861 Batch=599, step=13800, lr=0.142750, batch loss=0.121695, epoch loss=1.400556 Batch=659, step=13860, lr=0.142500, batch loss=0.181238, epoch loss=1.581794 Batch=719, step=13920, lr=0.142250, batch loss=0.197066, epoch loss=1.778860 Batch=779, step=13980, lr=0.142000, batch loss=0.236070, epoch loss=2.014930 Batch=839, step=14040, lr=0.141750, batch loss=0.196860, epoch loss=2.211790 Batch=899, step=14100, lr=0.141250, batch loss=0.201426, epoch loss=2.413216 Batch=959, step=14160, lr=0.141000, batch loss=0.116306, epoch loss=2.529521 Batch=1019, step=14220, lr=0.140750, batch loss=0.197587, epoch loss=2.727108 Batch=1079, step=14280, lr=0.140500, batch loss=0.079744, epoch loss=2.806853 Batch=1139, step=14340, lr=0.140250, batch loss=0.129504, epoch loss=2.936357 Batch=1199, step=14400, lr=0.140250, batch loss=0.088957, epoch loss=3.025314 Epoch=11, step=14400, lr=0.140250, epoch loss=3.025314 Batch=59, step=14460, lr=0.139750, batch loss=0.117687, epoch loss=0.117687 Batch=119, step=14520, lr=0.139500, batch loss=0.108650, epoch loss=0.226337 Batch=179, step=14580, lr=0.139500, batch loss=0.103223, epoch loss=0.329560 Batch=239, step=14640, lr=0.139000, batch loss=0.143352, epoch loss=0.472912 Batch=299, step=14700, lr=0.139000, batch loss=0.078832, epoch loss=0.551744 Batch=359, step=14760, lr=0.138750, batch loss=0.122586, epoch loss=0.674330 Batch=419, step=14820, lr=0.138500, batch loss=0.133060, epoch loss=0.807390 Batch=479, step=14880, lr=0.138000, batch loss=0.102996, epoch loss=0.910386 Batch=539, step=14940, lr=0.138000, batch loss=0.106646, epoch loss=1.017031 Batch=599, step=15000, lr=0.137500, batch loss=0.085401, epoch loss=1.102433 Batch=659, step=15060, lr=0.137250, batch loss=0.129252, epoch loss=1.231685 Batch=719, step=15120, lr=0.137000, batch loss=0.130539, epoch loss=1.362224 Batch=779, step=15180, lr=0.136750, batch loss=0.154404, epoch loss=1.516628 Batch=839, step=15240, lr=0.136500, batch loss=0.172156, epoch loss=1.688784 Batch=899, step=15300, lr=0.136500, batch loss=0.307393, epoch loss=1.996177 Batch=959, step=15360, lr=0.136000, batch loss=0.062179, epoch loss=2.058356 Batch=1019, step=15420, lr=0.135750, batch loss=0.138013, epoch loss=2.196369 Batch=1079, step=15480, lr=0.135750, batch loss=0.042164, epoch loss=2.238534 Batch=1139, step=15540, lr=0.135250, batch loss=0.095906, epoch loss=2.334439 Batch=1199, step=15600, lr=0.135250, batch loss=0.061356, epoch loss=2.395795 Epoch=12, step=15600, lr=0.135250, epoch loss=2.395795 Batch=59, step=15660, lr=0.134750, batch loss=0.090123, epoch loss=0.090123 Batch=119, step=15720, lr=0.134750, batch loss=0.135371, epoch loss=0.225494 Batch=179, step=15780, lr=0.134250, batch loss=0.100039, epoch loss=0.325533 Batch=239, step=15840, lr=0.134000, batch loss=0.101313, epoch loss=0.426846 Batch=299, step=15900, lr=0.133750, batch loss=0.046673, epoch loss=0.473519 Batch=359, step=15960, lr=0.133500, batch loss=0.083636, epoch loss=0.557155 Batch=419, step=16020, lr=0.133500, batch loss=0.081000, epoch loss=0.638155 Batch=479, step=16080, lr=0.133250, batch loss=0.064961, epoch loss=0.703116 Batch=539, step=16140, lr=0.133000, batch loss=0.056362, epoch loss=0.759478 Batch=599, step=16200, lr=0.132750, batch loss=0.097102, epoch loss=0.856580 Batch=659, step=16260, lr=0.132500, batch loss=0.077986, epoch loss=0.934566 Batch=719, step=16320, lr=0.132250, batch loss=0.071689, epoch loss=1.006255 Batch=779, step=16380, lr=0.131750, batch loss=0.077731, epoch loss=1.083987 Batch=839, step=16440, lr=0.131500, batch loss=0.118690, epoch loss=1.202676 Batch=899, step=16500, lr=0.131250, batch loss=0.163680, epoch loss=1.366356 Batch=959, step=16560, lr=0.131000, batch loss=0.051392, epoch loss=1.417748 Batch=1019, step=16620, lr=0.130750, batch loss=0.130447, epoch loss=1.548195 Batch=1079, step=16680, lr=0.130500, batch loss=0.024012, epoch loss=1.572206 Batch=1139, step=16740, lr=0.130500, batch loss=0.058201, epoch loss=1.630407 Batch=1199, step=16800, lr=0.130000, batch loss=0.029202, epoch loss=1.659610 Epoch=13, step=16800, lr=0.130000, epoch loss=1.659610 Batch=59, step=16860, lr=0.129750, batch loss=0.037021, epoch loss=0.037021 Batch=119, step=16920, lr=0.129500, batch loss=0.047757, epoch loss=0.084778 Batch=179, step=16980, lr=0.129500, batch loss=0.047106, epoch loss=0.131884 Batch=239, step=17040, lr=0.129000, batch loss=0.074667, epoch loss=0.206551 Batch=299, step=17100, lr=0.128750, batch loss=0.079894, epoch loss=0.286445 Batch=359, step=17160, lr=0.128500, batch loss=0.051944, epoch loss=0.338388 Batch=419, step=17220, lr=0.128250, batch loss=0.051076, epoch loss=0.389464 Batch=479, step=17280, lr=0.128000, batch loss=0.027200, epoch loss=0.416664 Batch=539, step=17340, lr=0.127750, batch loss=0.032806, epoch loss=0.449470 Batch=599, step=17400, lr=0.127500, batch loss=0.034751, epoch loss=0.484221 Batch=659, step=17460, lr=0.127500, batch loss=0.048182, epoch loss=0.532404 Batch=719, step=17520, lr=0.127250, batch loss=0.049920, epoch loss=0.582323 Batch=779, step=17580, lr=0.127000, batch loss=0.072131, epoch loss=0.654454 Batch=839, step=17640, lr=0.126500, batch loss=0.145778, epoch loss=0.800233 Batch=899, step=17700, lr=0.126500, batch loss=0.060086, epoch loss=0.860319 Batch=959, step=17760, lr=0.126000, batch loss=0.021971, epoch loss=0.882290 Batch=1019, step=17820, lr=0.125750, batch loss=0.033646, epoch loss=0.915936 Batch=1079, step=17880, lr=0.125750, batch loss=0.013300, epoch loss=0.929236 Batch=1139, step=17940, lr=0.125250, batch loss=0.032618, epoch loss=0.961854 Batch=1199, step=18000, lr=0.125250, batch loss=0.014614, epoch loss=0.976469 Epoch=14, step=18000, lr=0.125250, epoch loss=0.976469 Batch=59, step=18060, lr=0.124750, batch loss=0.012350, epoch loss=0.012350 Batch=119, step=18120, lr=0.124500, batch loss=0.020096, epoch loss=0.032446 Batch=179, step=18180, lr=0.124250, batch loss=0.040092, epoch loss=0.072538 Batch=239, step=18240, lr=0.124250, batch loss=0.041735, epoch loss=0.114274 Batch=299, step=18300, lr=0.123750, batch loss=0.023753, epoch loss=0.138027 Batch=359, step=18360, lr=0.123500, batch loss=0.023934, epoch loss=0.161961 Batch=419, step=18420, lr=0.123250, batch loss=0.026552, epoch loss=0.188514 Batch=479, step=18480, lr=0.123000, batch loss=0.023765, epoch loss=0.212279 Batch=539, step=18540, lr=0.122750, batch loss=0.048864, epoch loss=0.261143 Batch=599, step=18600, lr=0.122500, batch loss=0.025922, epoch loss=0.287065 Batch=659, step=18660, lr=0.122250, batch loss=0.033192, epoch loss=0.320256 Batch=719, step=18720, lr=0.122000, batch loss=0.053125, epoch loss=0.373382 Batch=779, step=18780, lr=0.121750, batch loss=0.114367, epoch loss=0.487749 Batch=839, step=18840, lr=0.121500, batch loss=0.061919, epoch loss=0.549668 Batch=899, step=18900, lr=0.121250, batch loss=0.084049, epoch loss=0.633717 Batch=959, step=18960, lr=0.121000, batch loss=0.013613, epoch loss=0.647330 Batch=1019, step=19020, lr=0.120750, batch loss=0.020146, epoch loss=0.667477 Batch=1079, step=19080, lr=0.120500, batch loss=0.009944, epoch loss=0.677421 Batch=1139, step=19140, lr=0.120500, batch loss=0.023282, epoch loss=0.700703 Batch=1199, step=19200, lr=0.120000, batch loss=0.010137, epoch loss=0.710840 Epoch=15, step=19200, lr=0.120000, epoch loss=0.710840 Batch=59, step=19260, lr=0.120000, batch loss=0.004536, epoch loss=0.004536 Batch=119, step=19320, lr=0.119500, batch loss=0.018726, epoch loss=0.023263 Batch=179, step=19380, lr=0.119250, batch loss=0.061998, epoch loss=0.085260 Batch=239, step=19440, lr=0.119000, batch loss=0.026394, epoch loss=0.111655 Batch=299, step=19500, lr=0.118750, batch loss=0.012443, epoch loss=0.124097 Batch=359, step=19560, lr=0.118500, batch loss=0.024292, epoch loss=0.148389 Batch=419, step=19620, lr=0.118500, batch loss=0.020250, epoch loss=0.168639 Batch=479, step=19680, lr=0.118000, batch loss=0.007574, epoch loss=0.176213 Batch=539, step=19740, lr=0.117750, batch loss=0.016538, epoch loss=0.192751 Batch=599, step=19800, lr=0.117500, batch loss=0.024750, epoch loss=0.217501 Batch=659, step=19860, lr=0.117250, batch loss=0.019553, epoch loss=0.237054 Batch=719, step=19920, lr=0.117000, batch loss=0.044886, epoch loss=0.281940 Batch=779, step=19980, lr=0.116750, batch loss=0.082204, epoch loss=0.364144 Batch=839, step=20040, lr=0.116500, batch loss=0.031557, epoch loss=0.395701 Batch=899, step=20100, lr=0.116500, batch loss=0.031853, epoch loss=0.427554 Batch=959, step=20160, lr=0.116000, batch loss=0.011059, epoch loss=0.438613 Batch=1019, step=20220, lr=0.116000, batch loss=0.012940, epoch loss=0.451553 Batch=1079, step=20280, lr=0.115750, batch loss=0.003940, epoch loss=0.455493 Batch=1139, step=20340, lr=0.115250, batch loss=0.020105, epoch loss=0.475598 Batch=1199, step=20400, lr=0.115000, batch loss=0.007113, epoch loss=0.482711 Epoch=16, step=20400, lr=0.115000, epoch loss=0.482711 Batch=59, step=20460, lr=0.114750, batch loss=0.003298, epoch loss=0.003298 Batch=119, step=20520, lr=0.114500, batch loss=0.008654, epoch loss=0.011951 Batch=179, step=20580, lr=0.114250, batch loss=0.017236, epoch loss=0.029187 Batch=239, step=20640, lr=0.114000, batch loss=0.018904, epoch loss=0.048091 Batch=299, step=20700, lr=0.114000, batch loss=0.008701, epoch loss=0.056792 Batch=359, step=20760, lr=0.113500, batch loss=0.013328, epoch loss=0.070120 Batch=419, step=20820, lr=0.113500, batch loss=0.014408, epoch loss=0.084529 Batch=479, step=20880, lr=0.113250, batch loss=0.004895, epoch loss=0.089423 Batch=539, step=20940, lr=0.112750, batch loss=0.015946, epoch loss=0.105369 Batch=599, step=21000, lr=0.112500, batch loss=0.018347, epoch loss=0.123716 Batch=659, step=21060, lr=0.112250, batch loss=0.014241, epoch loss=0.137957 Batch=719, step=21120, lr=0.112000, batch loss=0.038670, epoch loss=0.176628 Batch=779, step=21180, lr=0.111750, batch loss=0.064507, epoch loss=0.241135 Batch=839, step=21240, lr=0.111750, batch loss=0.025327, epoch loss=0.266462 Batch=899, step=21300, lr=0.111500, batch loss=0.027338, epoch loss=0.293799 Batch=959, step=21360, lr=0.111250, batch loss=0.010372, epoch loss=0.304172 Batch=1019, step=21420, lr=0.110750, batch loss=0.009970, epoch loss=0.314141 Batch=1079, step=21480, lr=0.110750, batch loss=0.002119, epoch loss=0.316261 Batch=1139, step=21540, lr=0.110500, batch loss=0.012463, epoch loss=0.328723 Batch=1199, step=21600, lr=0.110250, batch loss=0.005055, epoch loss=0.333778 Epoch=17, step=21600, lr=0.110250, epoch loss=0.333778 Batch=59, step=21660, lr=0.109750, batch loss=0.002346, epoch loss=0.002346 Batch=119, step=21720, lr=0.109750, batch loss=0.006650, epoch loss=0.008996 Batch=179, step=21780, lr=0.109500, batch loss=0.012722, epoch loss=0.021718 Batch=239, step=21840, lr=0.109250, batch loss=0.009893, epoch loss=0.031611 Batch=299, step=21900, lr=0.109000, batch loss=0.002240, epoch loss=0.033851 Batch=359, step=21960, lr=0.108750, batch loss=0.011236, epoch loss=0.045087 Batch=419, step=22020, lr=0.108250, batch loss=0.011515, epoch loss=0.056602 Batch=479, step=22080, lr=0.108000, batch loss=0.002772, epoch loss=0.059374 Batch=539, step=22140, lr=0.108000, batch loss=0.017220, epoch loss=0.076594 Batch=599, step=22200, lr=0.107750, batch loss=0.017047, epoch loss=0.093641 Batch=659, step=22260, lr=0.107500, batch loss=0.011548, epoch loss=0.105189 Batch=719, step=22320, lr=0.107250, batch loss=0.016076, epoch loss=0.121265 Batch=779, step=22380, lr=0.107000, batch loss=0.024151, epoch loss=0.145415 Batch=839, step=22440, lr=0.106500, batch loss=0.026519, epoch loss=0.171934 Batch=899, step=22500, lr=0.106500, batch loss=0.026104, epoch loss=0.198038 Batch=959, step=22560, lr=0.106250, batch loss=0.008779, epoch loss=0.206817 Batch=1019, step=22620, lr=0.106000, batch loss=0.009018, epoch loss=0.215835 Batch=1079, step=22680, lr=0.105750, batch loss=0.001712, epoch loss=0.217546 Batch=1139, step=22740, lr=0.105500, batch loss=0.010581, epoch loss=0.228127 Batch=1199, step=22800, lr=0.105250, batch loss=0.004627, epoch loss=0.232754 Epoch=18, step=22800, lr=0.105250, epoch loss=0.232754 Batch=59, step=22860, lr=0.105000, batch loss=0.001873, epoch loss=0.001873 Batch=119, step=22920, lr=0.104750, batch loss=0.005138, epoch loss=0.007012 Batch=179, step=22980, lr=0.104500, batch loss=0.011470, epoch loss=0.018481 Batch=239, step=23040, lr=0.104250, batch loss=0.008711, epoch loss=0.027192 Batch=299, step=23100, lr=0.104000, batch loss=0.006871, epoch loss=0.034063 Batch=359, step=23160, lr=0.103750, batch loss=0.012938, epoch loss=0.047001 Batch=419, step=23220, lr=0.103250, batch loss=0.011376, epoch loss=0.058377 Batch=479, step=23280, lr=0.103000, batch loss=0.002784, epoch loss=0.061161 Batch=539, step=23340, lr=0.102750, batch loss=0.016934, epoch loss=0.078095 Batch=599, step=23400, lr=0.102750, batch loss=0.013524, epoch loss=0.091619 Batch=659, step=23460, lr=0.102250, batch loss=0.010974, epoch loss=0.102593 Batch=719, step=23520, lr=0.102000, batch loss=0.012200, epoch loss=0.114793 Batch=779, step=23580, lr=0.102000, batch loss=0.023720, epoch loss=0.138513 Batch=839, step=23640, lr=0.101750, batch loss=0.026512, epoch loss=0.165024 Batch=899, step=23700, lr=0.101500, batch loss=0.021226, epoch loss=0.186250 Batch=959, step=23760, lr=0.101250, batch loss=0.007993, epoch loss=0.194243 Batch=1019, step=23820, lr=0.100750, batch loss=0.008475, epoch loss=0.202718 Batch=1079, step=23880, lr=0.100500, batch loss=0.000849, epoch loss=0.203567 Batch=1139, step=23940, lr=0.100500, batch loss=0.009477, epoch loss=0.213044 Batch=1199, step=24000, lr=0.100000, batch loss=0.004582, epoch loss=0.217625 Epoch=19, step=24000, lr=0.100000, epoch loss=0.217625 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:42.26 ---> saved as "d822ac1478f8b2762348e475e0b13c36b7a480baceaefd21f366f3c832132a71" Job succeeded 2025-03-21 12:42.27: Job succeeded