2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (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 2032408f 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 2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-22 15:30.21: 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")) ) 2025-03-22 15:30.21: Waiting for resource in pool OCluster 2025-03-22 15:30.21: Waiting for worker… 2025-03-22 15:30.22: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..` (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-22 15:30.23 ---> 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")) 2025-03-22 15:30.23 ---> 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 2025-03-22 15:30.23 ---> 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 2025-03-22 15:30.23 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-22 15:30.23 ---> 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..acfb0e6e94 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) 2025-03-22 15:30.23 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-22 15:30.23 ---> using "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-22 15:30.23 ---> using "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-22 15:30.23 ---> using "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [250 kB] - Fetched 353 kB in 1s (670 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) ... 2025-03-22 15:30.23 ---> using "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed 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 ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> 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 variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib.0.35.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_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) 2025-03-22 15:30.23 ---> using "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" from cache /src: (copy (src .) (dst /src)) 2025-03-22 15:30.24 ---> saved as "f6ce67e2b48e36610234edb8e9ca7fe7d9abf397ac58ebb88ae68004200a3e0e" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/7008a3df734483bc4c4ec9bb45863da0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5f08b4431d6097d04d57bcb19bed61ef/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/5f08b4431d6097d04d57bcb19bed61ef/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=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178250, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239688, epoch loss=1.912744 Batch=539, step=5340, lr=0.178000, batch loss=0.189458, epoch loss=2.102202 Batch=599, step=5400, lr=0.177750, batch loss=0.231006, epoch loss=2.333208 Batch=659, step=5460, lr=0.177500, batch loss=0.323604, epoch loss=2.656812 Batch=719, step=5520, lr=0.177250, batch loss=0.325852, epoch loss=2.982665 Batch=779, step=5580, lr=0.177000, batch loss=0.343190, epoch loss=3.325855 Batch=839, step=5640, lr=0.176750, batch loss=0.309336, epoch loss=3.635191 Batch=899, step=5700, lr=0.176500, batch loss=0.273183, epoch loss=3.908373 Batch=959, step=5760, lr=0.176250, batch loss=0.214897, epoch loss=4.123270 Batch=1019, step=5820, lr=0.176000, batch loss=0.339179, epoch loss=4.462449 Batch=1079, step=5880, lr=0.175750, batch loss=0.207798, epoch loss=4.670247 Batch=1139, step=5940, lr=0.175500, batch loss=0.240068, epoch loss=4.910316 Batch=1199, step=6000, lr=0.175250, batch loss=0.186869, epoch loss=5.097184 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097184 Batch=59, step=6060, lr=0.175000, batch loss=0.230511, epoch loss=0.230511 Batch=119, step=6120, lr=0.174750, batch loss=0.194306, epoch loss=0.424817 Batch=179, step=6180, lr=0.174500, batch loss=0.201542, epoch loss=0.626359 Batch=239, step=6240, lr=0.174250, batch loss=0.302372, epoch loss=0.928730 Batch=299, step=6300, lr=0.174000, batch loss=0.203946, epoch loss=1.132676 Batch=359, step=6360, lr=0.173750, batch loss=0.266101, epoch loss=1.398778 Batch=419, step=6420, lr=0.173500, batch loss=0.265294, epoch loss=1.664072 Batch=479, step=6480, lr=0.173250, batch loss=0.243309, epoch loss=1.907381 Batch=539, step=6540, lr=0.173000, batch loss=0.192986, epoch loss=2.100367 Batch=599, step=6600, lr=0.172750, batch loss=0.234486, epoch loss=2.334854 Batch=659, step=6660, lr=0.172500, batch loss=0.312115, epoch loss=2.646968 Batch=719, step=6720, lr=0.172250, batch loss=0.314210, epoch loss=2.961178 Batch=779, step=6780, lr=0.172000, batch loss=0.333235, epoch loss=3.294412 Batch=839, step=6840, lr=0.171750, batch loss=0.303748, epoch loss=3.598160 Batch=899, step=6900, lr=0.171500, batch loss=0.268481, epoch loss=3.866641 Batch=959, step=6960, lr=0.171250, batch loss=0.211014, epoch loss=4.077654 Batch=1019, step=7020, lr=0.171000, batch loss=0.329777, epoch loss=4.407431 Batch=1079, step=7080, lr=0.170750, batch loss=0.180627, epoch loss=4.588059 Batch=1139, step=7140, lr=0.170500, batch loss=0.216089, epoch loss=4.804148 Batch=1199, step=7200, lr=0.170250, batch loss=0.185674, epoch loss=4.989822 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989822 Batch=59, step=7260, lr=0.170000, batch loss=0.232486, epoch loss=0.232486 Batch=119, step=7320, lr=0.169750, batch loss=0.184590, epoch loss=0.417076 Batch=179, step=7380, lr=0.169500, batch loss=0.196605, epoch loss=0.613681 Batch=239, step=7440, lr=0.169250, batch loss=0.291671, epoch loss=0.905352 Batch=299, step=7500, lr=0.169000, batch loss=0.200902, epoch loss=1.106254 Batch=359, step=7560, lr=0.168750, batch loss=0.258539, epoch loss=1.364793 Batch=419, step=7620, lr=0.168500, batch loss=0.257383, epoch loss=1.622176 Batch=479, step=7680, lr=0.168250, batch loss=0.235327, epoch loss=1.857503 Batch=539, step=7740, lr=0.168000, batch loss=0.188570, epoch loss=2.046072 Batch=599, step=7800, lr=0.167750, batch loss=0.223179, epoch loss=2.269251 Batch=659, step=7860, lr=0.167500, batch loss=0.306332, epoch loss=2.575584 Batch=719, step=7920, lr=0.167250, batch loss=0.308677, epoch loss=2.884261 Batch=779, step=7980, lr=0.167000, batch loss=0.330584, epoch loss=3.214846 Batch=839, step=8040, lr=0.166750, batch loss=0.292042, epoch loss=3.506887 Batch=899, step=8100, lr=0.166500, batch loss=0.262255, epoch loss=3.769142 Batch=959, step=8160, lr=0.166250, batch loss=0.192460, epoch loss=3.961602 Batch=1019, step=8220, lr=0.166000, batch loss=0.291110, epoch loss=4.252712 Batch=1079, step=8280, lr=0.165750, batch loss=0.184299, epoch loss=4.437010 Batch=1139, step=8340, lr=0.165500, batch loss=0.216276, epoch loss=4.653287 Batch=1199, step=8400, lr=0.165250, batch loss=0.172763, epoch loss=4.826050 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826050 Batch=59, step=8460, lr=0.165000, batch loss=0.212052, epoch loss=0.212052 Batch=119, step=8520, lr=0.164750, batch loss=0.177937, epoch loss=0.389989 Batch=179, step=8580, lr=0.164500, batch loss=0.188658, epoch loss=0.578647 Batch=239, step=8640, lr=0.164250, batch loss=0.278159, epoch loss=0.856806 Batch=299, step=8700, lr=0.164000, batch loss=0.193655, epoch loss=1.050461 Batch=359, step=8760, lr=0.163750, batch loss=0.247318, epoch loss=1.297779 Batch=419, step=8820, lr=0.163500, batch loss=0.245255, epoch loss=1.543034 Batch=479, step=8880, lr=0.163250, batch loss=0.229231, epoch loss=1.772264 Batch=539, step=8940, lr=0.163000, batch loss=0.177552, epoch loss=1.949816 Batch=599, step=9000, lr=0.162750, batch loss=0.217526, epoch loss=2.167342 Batch=659, step=9060, lr=0.162500, batch loss=0.295053, epoch loss=2.462395 Batch=719, step=9120, lr=0.162250, batch loss=0.299527, epoch loss=2.761922 Batch=779, step=9180, lr=0.162000, batch loss=0.316426, epoch loss=3.078347 Batch=839, step=9240, lr=0.161750, batch loss=0.281976, epoch loss=3.360323 Batch=899, step=9300, lr=0.161500, batch loss=0.250654, epoch loss=3.610977 Batch=959, step=9360, lr=0.161250, batch loss=0.198054, epoch loss=3.809031 Batch=1019, step=9420, lr=0.161000, batch loss=0.307428, epoch loss=4.116459 Batch=1079, step=9480, lr=0.160750, batch loss=0.196912, epoch loss=4.313371 Batch=1139, step=9540, lr=0.160500, batch loss=0.213430, epoch loss=4.526801 Batch=1199, step=9600, lr=0.160250, batch loss=0.167166, epoch loss=4.693967 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693967 Batch=59, step=9660, lr=0.160000, batch loss=0.200848, epoch loss=0.200848 Batch=119, step=9720, lr=0.159750, batch loss=0.164940, epoch loss=0.365788 Batch=179, step=9780, lr=0.159500, batch loss=0.178441, epoch loss=0.544228 Batch=239, step=9840, lr=0.159250, batch loss=0.262437, epoch loss=0.806665 Batch=299, step=9900, lr=0.159000, batch loss=0.181556, epoch loss=0.988221 Batch=359, step=9960, lr=0.158750, batch loss=0.241101, epoch loss=1.229322 Batch=419, step=10020, lr=0.158500, batch loss=0.233409, epoch loss=1.462731 Batch=479, step=10080, lr=0.158250, batch loss=0.213295, epoch loss=1.676026 Batch=539, step=10140, lr=0.158000, batch loss=0.172298, epoch loss=1.848323 Batch=599, step=10200, lr=0.157750, batch loss=0.200787, epoch loss=2.049110 Batch=659, step=10260, lr=0.157500, batch loss=0.281475, epoch loss=2.330585 Batch=719, step=10320, lr=0.157250, batch loss=0.286013, epoch loss=2.616599 Batch=779, step=10380, lr=0.157000, batch loss=0.294869, epoch loss=2.911468 Batch=839, step=10440, lr=0.156750, batch loss=0.265956, epoch loss=3.177424 Batch=899, step=10500, lr=0.156500, batch loss=0.244330, epoch loss=3.421754 Batch=959, step=10560, lr=0.156250, batch loss=0.197372, epoch loss=3.619126 Batch=1019, step=10620, lr=0.155750, batch loss=0.279948, epoch loss=3.899073 Batch=1079, step=10680, lr=0.155750, batch loss=0.167156, epoch loss=4.066230 Batch=1139, step=10740, lr=0.155500, batch loss=0.200077, epoch loss=4.266306 Batch=1199, step=10800, lr=0.155250, batch loss=0.154081, epoch loss=4.420387 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420387 Batch=59, step=10860, lr=0.155000, batch loss=0.179754, epoch loss=0.179754 Batch=119, step=10920, lr=0.154750, batch loss=0.150852, epoch loss=0.330607 Batch=179, step=10980, lr=0.154500, batch loss=0.166379, epoch loss=0.496986 Batch=239, step=11040, lr=0.154250, batch loss=0.240510, epoch loss=0.737495 Batch=299, step=11100, lr=0.154000, batch loss=0.172647, epoch loss=0.910143 Batch=359, step=11160, lr=0.153750, batch loss=0.220321, epoch loss=1.130463 Batch=419, step=11220, lr=0.153500, batch loss=0.228846, epoch loss=1.359309 Batch=479, step=11280, lr=0.153250, batch loss=0.203684, epoch loss=1.562993 Batch=539, step=11340, lr=0.153000, batch loss=0.159275, epoch loss=1.722268 Batch=599, step=11400, lr=0.152750, batch loss=0.184382, epoch loss=1.906651 Batch=659, step=11460, lr=0.152500, batch loss=0.264743, epoch loss=2.171393 Batch=719, step=11520, lr=0.152250, batch loss=0.255558, epoch loss=2.426951 Batch=779, step=11580, lr=0.152000, batch loss=0.271448, epoch loss=2.698399 Batch=839, step=11640, lr=0.151750, batch loss=0.256272, epoch loss=2.954672 Batch=899, step=11700, lr=0.151500, batch loss=0.217168, epoch loss=3.171839 Batch=959, step=11760, lr=0.151250, batch loss=0.185684, epoch loss=3.357523 Batch=1019, step=11820, lr=0.151000, batch loss=0.277411, epoch loss=3.634935 Batch=1079, step=11880, lr=0.150750, batch loss=0.148084, epoch loss=3.783019 Batch=1139, step=11940, lr=0.150500, batch loss=0.180954, epoch loss=3.963973 Batch=1199, step=12000, lr=0.150250, batch loss=0.139684, epoch loss=4.103657 Epoch=9, step=12000, lr=0.150250, epoch loss=4.103657 Batch=59, step=12060, lr=0.150000, batch loss=0.160878, epoch loss=0.160878 Batch=119, step=12120, lr=0.149750, batch loss=0.137114, epoch loss=0.297993 Batch=179, step=12180, lr=0.149500, batch loss=0.150748, epoch loss=0.448741 Batch=239, step=12240, lr=0.149250, batch loss=0.218681, epoch loss=0.667422 Batch=299, step=12300, lr=0.149000, batch loss=0.142421, epoch loss=0.809843 Batch=359, step=12360, lr=0.148750, batch loss=0.198911, epoch loss=1.008754 Batch=419, step=12420, lr=0.148500, batch loss=0.206155, epoch loss=1.214909 Batch=479, step=12480, lr=0.148250, batch loss=0.178886, epoch loss=1.393795 Batch=539, step=12540, lr=0.148000, batch loss=0.142656, epoch loss=1.536450 Batch=599, step=12600, lr=0.147750, batch loss=0.149254, epoch loss=1.685704 Batch=659, step=12660, lr=0.147500, batch loss=0.226096, epoch loss=1.911800 Batch=719, step=12720, lr=0.147250, batch loss=0.233670, epoch loss=2.145470 Batch=779, step=12780, lr=0.147000, batch loss=0.263340, epoch loss=2.408810 Batch=839, step=12840, lr=0.146750, batch loss=0.233739, epoch loss=2.642549 Batch=899, step=12900, lr=0.146500, batch loss=0.212054, epoch loss=2.854604 Batch=959, step=12960, lr=0.146250, batch loss=0.151686, epoch loss=3.006289 Batch=1019, step=13020, lr=0.146000, batch loss=0.264830, epoch loss=3.271120 Batch=1079, step=13080, lr=0.145750, batch loss=0.112273, epoch loss=3.383392 Batch=1139, step=13140, lr=0.145500, batch loss=0.151418, epoch loss=3.534810 Batch=1199, step=13200, lr=0.145250, batch loss=0.117154, epoch loss=3.651965 Epoch=10, step=13200, lr=0.145250, epoch loss=3.651965 Batch=59, step=13260, lr=0.145000, batch loss=0.145751, epoch loss=0.145751 Batch=119, step=13320, lr=0.144750, batch loss=0.125320, epoch loss=0.271071 Batch=179, step=13380, lr=0.144500, batch loss=0.129842, epoch loss=0.400913 Batch=239, step=13440, lr=0.144250, batch loss=0.189986, epoch loss=0.590899 Batch=299, step=13500, lr=0.144000, batch loss=0.121400, epoch loss=0.712299 Batch=359, step=13560, lr=0.143750, batch loss=0.160841, epoch loss=0.873140 Batch=419, step=13620, lr=0.143500, batch loss=0.161376, epoch loss=1.034517 Batch=479, step=13680, lr=0.143250, batch loss=0.146645, epoch loss=1.181161 Batch=539, step=13740, lr=0.143000, batch loss=0.118619, epoch loss=1.299780 Batch=599, step=13800, lr=0.142750, batch loss=0.119797, epoch loss=1.419577 Batch=659, step=13860, lr=0.142500, batch loss=0.175898, epoch loss=1.595475 Batch=719, step=13920, lr=0.142250, batch loss=0.177897, epoch loss=1.773373 Batch=779, step=13980, lr=0.142000, batch loss=0.196647, epoch loss=1.970019 Batch=839, step=14040, lr=0.141750, batch loss=0.189367, epoch loss=2.159386 Batch=899, step=14100, lr=0.141500, batch loss=0.175191, epoch loss=2.334577 Batch=959, step=14160, lr=0.141250, batch loss=0.136260, epoch loss=2.470837 Batch=1019, step=14220, lr=0.141000, batch loss=0.271607, epoch loss=2.742444 Batch=1079, step=14280, lr=0.140750, batch loss=0.079190, epoch loss=2.821634 Batch=1139, step=14340, lr=0.140500, batch loss=0.120884, epoch loss=2.942518 Batch=1199, step=14400, lr=0.140250, batch loss=0.090046, epoch loss=3.032564 Epoch=11, step=14400, lr=0.140250, epoch loss=3.032564 Batch=59, step=14460, lr=0.140000, batch loss=0.109156, epoch loss=0.109156 Batch=119, step=14520, lr=0.139750, batch loss=0.102491, epoch loss=0.211647 Batch=179, step=14580, lr=0.139500, batch loss=0.102703, epoch loss=0.314350 Batch=239, step=14640, lr=0.139250, batch loss=0.141602, epoch loss=0.455952 Batch=299, step=14700, lr=0.139000, batch loss=0.077470, epoch loss=0.533421 Batch=359, step=14760, lr=0.138750, batch loss=0.119160, epoch loss=0.652582 Batch=419, step=14820, lr=0.138500, batch loss=0.125489, epoch loss=0.778071 Batch=479, step=14880, lr=0.138250, batch loss=0.106068, epoch loss=0.884138 Batch=539, step=14940, lr=0.138000, batch loss=0.115619, epoch loss=0.999757 Batch=599, step=15000, lr=0.137750, batch loss=0.086741, epoch loss=1.086499 Batch=659, step=15060, lr=0.137500, batch loss=0.129990, epoch loss=1.216488 Batch=719, step=15120, lr=0.137250, batch loss=0.120909, epoch loss=1.337398 Batch=779, step=15180, lr=0.137000, batch loss=0.135991, epoch loss=1.473388 Batch=839, step=15240, lr=0.136750, batch loss=0.165941, epoch loss=1.639329 Batch=899, step=15300, lr=0.136500, batch loss=0.276125, epoch loss=1.915454 Batch=959, step=15360, lr=0.136250, batch loss=0.065811, epoch loss=1.981265 Batch=1019, step=15420, lr=0.136000, batch loss=0.142598, epoch loss=2.123863 Batch=1079, step=15480, lr=0.135750, batch loss=0.043063, epoch loss=2.166926 Batch=1139, step=15540, lr=0.135500, batch loss=0.098174, epoch loss=2.265100 Batch=1199, step=15600, lr=0.135250, batch loss=0.060757, epoch loss=2.325857 Epoch=12, step=15600, lr=0.135250, epoch loss=2.325857 Batch=59, step=15660, lr=0.135000, batch loss=0.081642, epoch loss=0.081642 Batch=119, step=15720, lr=0.134750, batch loss=0.116798, epoch loss=0.198440 Batch=179, step=15780, lr=0.134500, batch loss=0.091150, epoch loss=0.289590 Batch=239, step=15840, lr=0.134250, batch loss=0.094524, epoch loss=0.384115 Batch=299, step=15900, lr=0.134000, batch loss=0.039588, epoch loss=0.423702 Batch=359, step=15960, lr=0.133750, batch loss=0.080806, epoch loss=0.504508 Batch=419, step=16020, lr=0.133500, batch loss=0.080774, epoch loss=0.585281 Batch=479, step=16080, lr=0.133250, batch loss=0.064280, epoch loss=0.649561 Batch=539, step=16140, lr=0.133000, batch loss=0.060100, epoch loss=0.709661 Batch=599, step=16200, lr=0.132750, batch loss=0.135942, epoch loss=0.845603 Batch=659, step=16260, lr=0.132500, batch loss=0.088186, epoch loss=0.933789 Batch=719, step=16320, lr=0.132250, batch loss=0.133408, epoch loss=1.067197 Batch=779, step=16380, lr=0.132000, batch loss=0.307728, epoch loss=1.374925 Batch=839, step=16440, lr=0.131750, batch loss=0.093990, epoch loss=1.468915 Batch=899, step=16500, lr=0.131500, batch loss=0.077580, epoch loss=1.546495 Batch=959, step=16560, lr=0.131250, batch loss=0.034808, epoch loss=1.581303 Batch=1019, step=16620, lr=0.131000, batch loss=0.068134, epoch loss=1.649437 Batch=1079, step=16680, lr=0.130750, batch loss=0.047251, epoch loss=1.696688 Batch=1139, step=16740, lr=0.130500, batch loss=0.076795, epoch loss=1.773482 Batch=1199, step=16800, lr=0.130250, batch loss=0.035592, epoch loss=1.809074 Epoch=13, step=16800, lr=0.130250, epoch loss=1.809074 Batch=59, step=16860, lr=0.130000, batch loss=0.034642, epoch loss=0.034642 Batch=119, step=16920, lr=0.129750, batch loss=0.037121, epoch loss=0.071763 Batch=179, step=16980, lr=0.129500, batch loss=0.043420, epoch loss=0.115183 Batch=239, step=17040, lr=0.129250, batch loss=0.060998, epoch loss=0.176181 Batch=299, step=17100, lr=0.129000, batch loss=0.025565, epoch loss=0.201747 Batch=359, step=17160, lr=0.128750, batch loss=0.054535, epoch loss=0.256281 Batch=419, step=17220, lr=0.128500, batch loss=0.087586, epoch loss=0.343868 Batch=479, step=17280, lr=0.128250, batch loss=0.024985, epoch loss=0.368853 Batch=539, step=17340, lr=0.128000, batch loss=0.026536, epoch loss=0.395389 Batch=599, step=17400, lr=0.127750, batch loss=0.041979, epoch loss=0.437368 Batch=659, step=17460, lr=0.127500, batch loss=0.057524, epoch loss=0.494893 Batch=719, step=17520, lr=0.127250, batch loss=0.069352, epoch loss=0.564245 Batch=779, step=17580, lr=0.127000, batch loss=0.070099, epoch loss=0.634345 Batch=839, step=17640, lr=0.126750, batch loss=0.101838, epoch loss=0.736182 Batch=899, step=17700, lr=0.126500, batch loss=0.048950, epoch loss=0.785133 Batch=959, step=17760, lr=0.126250, batch loss=0.018821, epoch loss=0.803954 Batch=1019, step=17820, lr=0.126000, batch loss=0.054205, epoch loss=0.858158 Batch=1079, step=17880, lr=0.125750, batch loss=0.044599, epoch loss=0.902757 Batch=1139, step=17940, lr=0.125500, batch loss=0.071063, epoch loss=0.973820 Batch=1199, step=18000, lr=0.125250, batch loss=0.024182, epoch loss=0.998002 Epoch=14, step=18000, lr=0.125250, epoch loss=0.998002 Batch=59, step=18060, lr=0.125000, batch loss=0.015244, epoch loss=0.015244 Batch=119, step=18120, lr=0.124750, batch loss=0.018644, epoch loss=0.033888 Batch=179, step=18180, lr=0.124500, batch loss=0.029487, epoch loss=0.063375 Batch=239, step=18240, lr=0.124250, batch loss=0.036181, epoch loss=0.099556 Batch=299, step=18300, lr=0.124000, batch loss=0.012240, epoch loss=0.111796 Batch=359, step=18360, lr=0.123750, batch loss=0.023176, epoch loss=0.134971 Batch=419, step=18420, lr=0.123500, batch loss=0.029255, epoch loss=0.164227 Batch=479, step=18480, lr=0.123250, batch loss=0.020477, epoch loss=0.184703 Batch=539, step=18540, lr=0.123000, batch loss=0.041022, epoch loss=0.225725 Batch=599, step=18600, lr=0.122750, batch loss=0.026804, epoch loss=0.252529 Batch=659, step=18660, lr=0.122500, batch loss=0.031886, epoch loss=0.284415 Batch=719, step=18720, lr=0.122250, batch loss=0.022379, epoch loss=0.306794 Batch=779, step=18780, lr=0.122000, batch loss=0.037279, epoch loss=0.344073 Batch=839, step=18840, lr=0.121750, batch loss=0.069794, epoch loss=0.413868 Batch=899, step=18900, lr=0.121500, batch loss=0.116459, epoch loss=0.530326 Batch=959, step=18960, lr=0.121250, batch loss=0.021655, epoch loss=0.551981 Batch=1019, step=19020, lr=0.121000, batch loss=0.027187, epoch loss=0.579168 Batch=1079, step=19080, lr=0.120750, batch loss=0.004036, epoch loss=0.583204 Batch=1139, step=19140, lr=0.120500, batch loss=0.022548, epoch loss=0.605752 Batch=1199, step=19200, lr=0.120250, batch loss=0.010013, epoch loss=0.615766 Epoch=15, step=19200, lr=0.120250, epoch loss=0.615766 Batch=59, step=19260, lr=0.120000, batch loss=0.004500, epoch loss=0.004500 Batch=119, step=19320, lr=0.119750, batch loss=0.011564, epoch loss=0.016064 Batch=179, step=19380, lr=0.119500, batch loss=0.019994, epoch loss=0.036058 Batch=239, step=19440, lr=0.119250, batch loss=0.020350, epoch loss=0.056408 Batch=299, step=19500, lr=0.119000, batch loss=0.005084, epoch loss=0.061492 Batch=359, step=19560, lr=0.118750, batch loss=0.016248, epoch loss=0.077740 Batch=419, step=19620, lr=0.118500, batch loss=0.019102, epoch loss=0.096843 Batch=479, step=19680, lr=0.118250, batch loss=0.010221, epoch loss=0.107064 Batch=539, step=19740, lr=0.118000, batch loss=0.018183, epoch loss=0.125247 Batch=599, step=19800, lr=0.117750, batch loss=0.019366, epoch loss=0.144613 Batch=659, step=19860, lr=0.117500, batch loss=0.018443, epoch loss=0.163056 Batch=719, step=19920, lr=0.117250, batch loss=0.016545, epoch loss=0.179602 Batch=779, step=19980, lr=0.117000, batch loss=0.024925, epoch loss=0.204527 Batch=839, step=20040, lr=0.116750, batch loss=0.029729, epoch loss=0.234255 Batch=899, step=20100, lr=0.116500, batch loss=0.030321, epoch loss=0.264576 Batch=959, step=20160, lr=0.116250, batch loss=0.011529, epoch loss=0.276106 Batch=1019, step=20220, lr=0.116000, batch loss=0.012885, epoch loss=0.288991 Batch=1079, step=20280, lr=0.115750, batch loss=0.006292, epoch loss=0.295283 Batch=1139, step=20340, lr=0.115500, batch loss=0.017934, epoch loss=0.313217 Batch=1199, step=20400, lr=0.115250, batch loss=0.007127, epoch loss=0.320344 Epoch=16, step=20400, lr=0.115250, epoch loss=0.320344 Batch=59, step=20460, lr=0.115000, batch loss=0.003571, epoch loss=0.003571 Batch=119, step=20520, lr=0.114750, batch loss=0.008842, epoch loss=0.012413 Batch=179, step=20580, lr=0.114500, batch loss=0.019606, epoch loss=0.032019 Batch=239, step=20640, lr=0.114250, batch loss=0.021728, epoch loss=0.053747 Batch=299, step=20700, lr=0.114000, batch loss=0.008902, epoch loss=0.062649 Batch=359, step=20760, lr=0.113750, batch loss=0.013460, epoch loss=0.076109 Batch=419, step=20820, lr=0.113500, batch loss=0.014189, epoch loss=0.090298 Batch=479, step=20880, lr=0.113250, batch loss=0.004420, epoch loss=0.094718 Batch=539, step=20940, lr=0.113000, batch loss=0.015696, epoch loss=0.110414 Batch=599, step=21000, lr=0.112750, batch loss=0.018875, epoch loss=0.129289 Batch=659, step=21060, lr=0.112500, batch loss=0.015486, epoch loss=0.144776 Batch=719, step=21120, lr=0.112250, batch loss=0.045116, epoch loss=0.189892 Batch=779, step=21180, lr=0.112000, batch loss=0.074961, epoch loss=0.264853 Batch=839, step=21240, lr=0.111750, batch loss=0.025035, epoch loss=0.289888 Batch=899, step=21300, lr=0.111500, batch loss=0.029908, epoch loss=0.319796 Batch=959, step=21360, lr=0.111250, batch loss=0.010370, epoch loss=0.330165 Batch=1019, step=21420, lr=0.111000, batch loss=0.012574, epoch loss=0.342739 Batch=1079, step=21480, lr=0.110750, batch loss=0.001807, epoch loss=0.344546 Batch=1139, step=21540, lr=0.110500, batch loss=0.012457, epoch loss=0.357003 Batch=1199, step=21600, lr=0.110250, batch loss=0.005097, epoch loss=0.362100 Epoch=17, step=21600, lr=0.110250, epoch loss=0.362100 Batch=59, step=21660, lr=0.110000, batch loss=0.002349, epoch loss=0.002349 Batch=119, step=21720, lr=0.109750, batch loss=0.006371, epoch loss=0.008720 Batch=179, step=21780, lr=0.109500, batch loss=0.012982, epoch loss=0.021702 Batch=239, step=21840, lr=0.109250, batch loss=0.009805, epoch loss=0.031507 Batch=299, step=21900, lr=0.109000, batch loss=0.008556, epoch loss=0.040063 Batch=359, step=21960, lr=0.108750, batch loss=0.013528, epoch loss=0.053591 Batch=419, step=22020, lr=0.108500, batch loss=0.012929, epoch loss=0.066520 Batch=479, step=22080, lr=0.108250, batch loss=0.002863, epoch loss=0.069384 Batch=539, step=22140, lr=0.108000, batch loss=0.016464, epoch loss=0.085848 Batch=599, step=22200, lr=0.107750, batch loss=0.015433, epoch loss=0.101281 Batch=659, step=22260, lr=0.107500, batch loss=0.011418, epoch loss=0.112699 Batch=719, step=22320, lr=0.107250, batch loss=0.021384, epoch loss=0.134083 Batch=779, step=22380, lr=0.107000, batch loss=0.030843, epoch loss=0.164926 Batch=839, step=22440, lr=0.106750, batch loss=0.029016, epoch loss=0.193942 Batch=899, step=22500, lr=0.106500, batch loss=0.024997, epoch loss=0.218939 Batch=959, step=22560, lr=0.106250, batch loss=0.009170, epoch loss=0.228110 Batch=1019, step=22620, lr=0.106000, batch loss=0.009476, epoch loss=0.237586 Batch=1079, step=22680, lr=0.105750, batch loss=0.001786, epoch loss=0.239372 Batch=1139, step=22740, lr=0.105500, batch loss=0.011202, epoch loss=0.250574 Batch=1199, step=22800, lr=0.105250, batch loss=0.005179, epoch loss=0.255753 Epoch=18, step=22800, lr=0.105250, epoch loss=0.255753 Batch=59, step=22860, lr=0.105000, batch loss=0.002147, epoch loss=0.002147 Batch=119, step=22920, lr=0.104750, batch loss=0.005726, epoch loss=0.007874 Batch=179, step=22980, lr=0.104500, batch loss=0.011301, epoch loss=0.019174 Batch=239, step=23040, lr=0.104250, batch loss=0.008812, epoch loss=0.027987 Batch=299, step=23100, lr=0.104000, batch loss=0.007564, epoch loss=0.035551 Batch=359, step=23160, lr=0.103750, batch loss=0.011682, epoch loss=0.047233 Batch=419, step=23220, lr=0.103500, batch loss=0.010791, epoch loss=0.058024 Batch=479, step=23280, lr=0.103250, batch loss=0.002474, epoch loss=0.060497 Batch=539, step=23340, lr=0.103000, batch loss=0.017868, epoch loss=0.078366 Batch=599, step=23400, lr=0.102750, batch loss=0.013731, epoch loss=0.092097 Batch=659, step=23460, lr=0.102500, batch loss=0.009976, epoch loss=0.102072 Batch=719, step=23520, lr=0.102250, batch loss=0.014660, epoch loss=0.116732 Batch=779, step=23580, lr=0.102000, batch loss=0.023357, epoch loss=0.140090 Batch=839, step=23640, lr=0.101750, batch loss=0.025612, epoch loss=0.165702 Batch=899, step=23700, lr=0.101500, batch loss=0.023771, epoch loss=0.189473 Batch=959, step=23760, lr=0.101250, batch loss=0.008954, epoch loss=0.198427 Batch=1019, step=23820, lr=0.101000, batch loss=0.008275, epoch loss=0.206702 Batch=1079, step=23880, lr=0.100750, batch loss=0.000561, epoch loss=0.207263 Batch=1139, step=23940, lr=0.100500, batch loss=0.009767, epoch loss=0.217029 Batch=1199, step=24000, lr=0.100250, batch loss=0.004886, epoch loss=0.221916 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221916 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-22 15:30.52 ---> saved as "357e3747cf2896f3286e5ad398b68f0504387c4c32212af33c61a6899140cea6" Job succeeded 2025-03-22 15:30.53: Job succeeded