2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 22:29.24: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-20 22:29.24: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.24: Waiting for worker… 2025-03-20 22:32.55: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3 (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-20 22:32.57 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:32.57 ---> using "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:32.57 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-20 22:32.57 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:32.57 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:32.57 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:32.57 ---> 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) 2025-03-20 22:33.02 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:33.03 ---> 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 0s (974 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% - (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-20 22:33.30 ---> 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 ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:35.37 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" /src: (copy (src .) (dst /src)) 2025-03-20 22:35.37 ---> saved as "4a94e966b825acab9015cfc34a2a07032804694ea2db116e633d3643f7714ff6" /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/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/6670bc10bf8fe8f29fd48e74202ede12/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/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=0.197750, batch loss=0.700244, epoch loss=40.538260 Batch=599, step=600, lr=0.197750, batch loss=1.069273, epoch loss=41.607533 Batch=659, step=660, lr=0.197500, batch loss=0.483433, epoch loss=42.090966 Batch=719, step=720, lr=0.197250, batch loss=0.411606, epoch loss=42.502571 Batch=779, step=780, lr=0.196750, batch loss=0.469605, epoch loss=42.972177 Batch=839, step=840, lr=0.196500, batch loss=0.444003, epoch loss=43.416180 Batch=899, step=900, lr=0.196500, batch loss=0.384327, epoch loss=43.800508 Batch=959, step=960, lr=0.196000, batch loss=0.238115, epoch loss=44.038623 Batch=1019, step=1020, lr=0.196000, batch loss=0.440646, epoch loss=44.479269 Batch=1079, step=1080, lr=0.195750, batch loss=0.225582, epoch loss=44.704851 Batch=1139, step=1140, lr=0.195250, batch loss=0.315757, epoch loss=45.020608 Batch=1199, step=1200, lr=0.195000, batch loss=0.263480, epoch loss=45.284087 Epoch=0, step=1200, lr=0.195000, epoch loss=45.284087 Batch=59, step=1260, lr=0.195000, batch loss=0.262367, epoch loss=0.262367 Batch=119, step=1320, lr=0.194750, batch loss=0.205678, epoch loss=0.468045 Batch=179, step=1380, lr=0.194500, batch loss=0.242562, epoch loss=0.710607 Batch=239, step=1440, lr=0.194250, batch loss=0.347411, epoch loss=1.058018 Batch=299, step=1500, lr=0.193750, batch loss=0.253273, epoch loss=1.311291 Batch=359, step=1560, lr=0.193750, batch loss=0.318762, epoch loss=1.630052 Batch=419, step=1620, lr=0.193250, batch loss=0.311750, epoch loss=1.941802 Batch=479, step=1680, lr=0.193000, batch loss=0.277554, epoch loss=2.219356 Batch=539, step=1740, lr=0.192750, batch loss=0.214888, epoch loss=2.434244 Batch=599, step=1800, lr=0.192500, batch loss=0.258705, epoch loss=2.692949 Batch=659, step=1860, lr=0.192250, batch loss=0.378294, epoch loss=3.071243 Batch=719, step=1920, lr=0.192000, batch loss=0.356592, epoch loss=3.427835 Batch=779, step=1980, lr=0.191750, batch loss=0.382883, epoch loss=3.810718 Batch=839, step=2040, lr=0.191750, batch loss=0.340889, epoch loss=4.151607 Batch=899, step=2100, lr=0.191250, batch loss=0.295025, epoch loss=4.446632 Batch=959, step=2160, lr=0.191250, batch loss=0.225634, epoch loss=4.672266 Batch=1019, step=2220, lr=0.191000, batch loss=0.322844, epoch loss=4.995110 Batch=1079, step=2280, lr=0.190500, batch loss=0.205484, epoch loss=5.200594 Batch=1139, step=2340, lr=0.190500, batch loss=0.275080, epoch loss=5.475674 Batch=1199, step=2400, lr=0.190250, batch loss=0.222586, epoch loss=5.698261 Epoch=1, step=2400, lr=0.190250, epoch loss=5.698261 Batch=59, step=2460, lr=0.190000, batch loss=0.233652, epoch loss=0.233652 Batch=119, step=2520, lr=0.189750, batch loss=0.193607, epoch loss=0.427260 Batch=179, step=2580, lr=0.189500, batch loss=0.221249, epoch loss=0.648508 Batch=239, step=2640, lr=0.189000, batch loss=0.326856, epoch loss=0.975364 Batch=299, step=2700, lr=0.189000, batch loss=0.203182, epoch loss=1.178547 Batch=359, step=2760, lr=0.188750, batch loss=0.288149, epoch loss=1.466696 Batch=419, step=2820, lr=0.188500, batch loss=0.279510, epoch loss=1.746205 Batch=479, step=2880, lr=0.188000, batch loss=0.251560, epoch loss=1.997766 Batch=539, step=2940, lr=0.188000, batch loss=0.195972, epoch loss=2.193738 Batch=599, step=3000, lr=0.187500, batch loss=0.241554, epoch loss=2.435291 Batch=659, step=3060, lr=0.187500, batch loss=0.346218, epoch loss=2.781510 Batch=719, step=3120, lr=0.187000, batch loss=0.346321, epoch loss=3.127831 Batch=779, step=3180, lr=0.186750, batch loss=0.363881, epoch loss=3.491712 Batch=839, step=3240, lr=0.186500, batch loss=0.322773, epoch loss=3.814485 Batch=899, step=3300, lr=0.186250, batch loss=0.288028, epoch loss=4.102514 Batch=959, step=3360, lr=0.186000, batch loss=0.222893, epoch loss=4.325407 Batch=1019, step=3420, lr=0.185750, batch loss=0.351635, epoch loss=4.677042 Batch=1079, step=3480, lr=0.185500, batch loss=0.217584, epoch loss=4.894626 Batch=1139, step=3540, lr=0.185250, batch loss=0.265648, epoch loss=5.160273 Batch=1199, step=3600, lr=0.185000, batch loss=0.199261, epoch loss=5.359534 Epoch=2, step=3600, lr=0.185000, epoch loss=5.359534 Batch=59, step=3660, lr=0.184750, batch loss=0.225371, epoch loss=0.225371 Batch=119, step=3720, lr=0.184500, batch loss=0.188604, epoch loss=0.413975 Batch=179, step=3780, lr=0.184250, batch loss=0.212421, epoch loss=0.626396 Batch=239, step=3840, lr=0.184000, batch loss=0.315852, epoch loss=0.942248 Batch=299, step=3900, lr=0.183750, batch loss=0.203816, epoch loss=1.146063 Batch=359, step=3960, lr=0.183500, batch loss=0.291671, epoch loss=1.437734 Batch=419, step=4020, lr=0.183500, batch loss=0.304159, epoch loss=1.741893 Batch=479, step=4080, lr=0.183000, batch loss=0.254388, epoch loss=1.996281 Batch=539, step=4140, lr=0.182750, batch loss=0.200415, epoch loss=2.196696 Batch=599, step=4200, lr=0.182500, batch loss=0.242176, epoch loss=2.438871 Batch=659, step=4260, lr=0.182500, batch loss=0.328756, epoch loss=2.767627 Batch=719, step=4320, lr=0.182000, batch loss=0.328668, epoch loss=3.096295 Batch=779, step=4380, lr=0.181750, batch loss=0.352460, epoch loss=3.448755 Batch=839, step=4440, lr=0.181500, batch loss=0.318301, epoch loss=3.767056 Batch=899, step=4500, lr=0.181250, batch loss=0.293761, epoch loss=4.060817 Batch=959, step=4560, lr=0.181250, batch loss=0.240337, epoch loss=4.301154 Batch=1019, step=4620, lr=0.180750, batch loss=0.329059, epoch loss=4.630214 Batch=1079, step=4680, lr=0.180500, batch loss=0.196869, epoch loss=4.827082 Batch=1139, step=4740, lr=0.180250, batch loss=0.227513, epoch loss=5.054595 Batch=1199, step=4800, lr=0.180000, batch loss=0.193443, epoch loss=5.248038 Epoch=3, step=4800, lr=0.180000, epoch loss=5.248038 Batch=59, step=4860, lr=0.179750, batch loss=0.232883, epoch loss=0.232883 Batch=119, step=4920, lr=0.179500, batch loss=0.192601, epoch loss=0.425484 Batch=179, step=4980, lr=0.179250, batch loss=0.206891, epoch loss=0.632375 Batch=239, step=5040, lr=0.179000, batch loss=0.309120, epoch loss=0.941495 Batch=299, step=5100, lr=0.178750, batch loss=0.205934, epoch loss=1.147429 Batch=359, step=5160, lr=0.178500, batch loss=0.270894, epoch loss=1.418324 Batch=419, step=5220, lr=0.178250, batch loss=0.265053, epoch loss=1.683377 Batch=479, step=5280, lr=0.178000, batch loss=0.239960, epoch loss=1.923336 Batch=539, step=5340, lr=0.177750, batch loss=0.190819, epoch loss=2.114155 Batch=599, step=5400, lr=0.177500, batch loss=0.230464, epoch loss=2.344620 Batch=659, step=5460, lr=0.177250, batch loss=0.324418, epoch loss=2.669038 Batch=719, step=5520, lr=0.177000, batch loss=0.325289, epoch loss=2.994327 Batch=779, step=5580, lr=0.177000, batch loss=0.338920, epoch loss=3.333246 Batch=839, step=5640, lr=0.176500, batch loss=0.313707, epoch loss=3.646953 Batch=899, step=5700, lr=0.176250, batch loss=0.278613, epoch loss=3.925567 Batch=959, step=5760, lr=0.176000, batch loss=0.219094, epoch loss=4.144660 Batch=1019, step=5820, lr=0.175750, batch loss=0.332371, epoch loss=4.477031 Batch=1079, step=5880, lr=0.175500, batch loss=0.197207, epoch loss=4.674238 Batch=1139, step=5940, lr=0.175250, batch loss=0.231669, epoch loss=4.905907 Batch=1199, step=6000, lr=0.175000, batch loss=0.185373, epoch loss=5.091280 Epoch=4, step=6000, lr=0.175000, epoch loss=5.091280 Batch=59, step=6060, lr=0.174750, batch loss=0.220171, epoch loss=0.220171 Batch=119, step=6120, lr=0.174500, batch loss=0.186926, epoch loss=0.407097 Batch=179, step=6180, lr=0.174500, batch loss=0.201779, epoch loss=0.608876 Batch=239, step=6240, lr=0.174000, batch loss=0.303172, epoch loss=0.912048 Batch=299, step=6300, lr=0.174000, batch loss=0.210933, epoch loss=1.122981 Batch=359, step=6360, lr=0.173750, batch loss=0.274207, epoch loss=1.397188 Batch=419, step=6420, lr=0.173500, batch loss=0.266198, epoch loss=1.663386 Batch=479, step=6480, lr=0.173250, batch loss=0.242826, epoch loss=1.906212 Batch=539, step=6540, lr=0.172750, batch loss=0.193241, epoch loss=2.099453 Batch=599, step=6600, lr=0.172500, batch loss=0.233610, epoch loss=2.333063 Batch=659, step=6660, lr=0.172250, batch loss=0.312986, epoch loss=2.646050 Batch=719, step=6720, lr=0.172250, batch loss=0.314707, epoch loss=2.960756 Batch=779, step=6780, lr=0.172000, batch loss=0.334176, epoch loss=3.294932 Batch=839, step=6840, lr=0.171750, batch loss=0.303792, epoch loss=3.598724 Batch=899, step=6900, lr=0.171500, batch loss=0.269311, epoch loss=3.868035 Batch=959, step=6960, lr=0.171250, batch loss=0.210559, epoch loss=4.078594 Batch=1019, step=7020, lr=0.171000, batch loss=0.326497, epoch loss=4.405091 Batch=1079, step=7080, lr=0.170750, batch loss=0.174705, epoch loss=4.579795 Batch=1139, step=7140, lr=0.170500, batch loss=0.213203, epoch loss=4.792999 Batch=1199, step=7200, lr=0.170250, batch loss=0.195912, epoch loss=4.988911 Epoch=5, step=7200, lr=0.170250, epoch loss=4.988911 Batch=59, step=7260, lr=0.170000, batch loss=0.238081, epoch loss=0.238081 Batch=119, step=7320, lr=0.169500, batch loss=0.181207, epoch loss=0.419288 Batch=179, step=7380, lr=0.169500, batch loss=0.195568, epoch loss=0.614856 Batch=239, step=7440, lr=0.169250, batch loss=0.290705, epoch loss=0.905561 Batch=299, step=7500, lr=0.169000, batch loss=0.209604, epoch loss=1.115165 Batch=359, step=7560, lr=0.168750, batch loss=0.262737, epoch loss=1.377902 Batch=419, step=7620, lr=0.168500, batch loss=0.255897, epoch loss=1.633799 Batch=479, step=7680, lr=0.168250, batch loss=0.238228, epoch loss=1.872028 Batch=539, step=7740, lr=0.168000, batch loss=0.187002, epoch loss=2.059029 Batch=599, step=7800, lr=0.167750, batch loss=0.224204, epoch loss=2.283234 Batch=659, step=7860, lr=0.167500, batch loss=0.305861, epoch loss=2.589095 Batch=719, step=7920, lr=0.167250, batch loss=0.308427, epoch loss=2.897522 Batch=779, step=7980, lr=0.167000, batch loss=0.321238, epoch loss=3.218760 Batch=839, step=8040, lr=0.166750, batch loss=0.297504, epoch loss=3.516263 Batch=899, step=8100, lr=0.166500, batch loss=0.259029, epoch loss=3.775293 Batch=959, step=8160, lr=0.166250, batch loss=0.208634, epoch loss=3.983927 Batch=1019, step=8220, lr=0.165750, batch loss=0.320426, epoch loss=4.304353 Batch=1079, step=8280, lr=0.165750, batch loss=0.170762, epoch loss=4.475115 Batch=1139, step=8340, lr=0.165500, batch loss=0.207388, epoch loss=4.682503 Batch=1199, step=8400, lr=0.165250, batch loss=0.179737, epoch loss=4.862240 Epoch=6, step=8400, lr=0.165250, epoch loss=4.862240 Batch=59, step=8460, lr=0.164750, batch loss=0.228733, epoch loss=0.228733 Batch=119, step=8520, lr=0.164500, batch loss=0.175752, epoch loss=0.404485 Batch=179, step=8580, lr=0.164250, batch loss=0.188173, epoch loss=0.592657 Batch=239, step=8640, lr=0.164000, batch loss=0.278046, epoch loss=0.870703 Batch=299, step=8700, lr=0.164000, batch loss=0.190610, epoch loss=1.061314 Batch=359, step=8760, lr=0.163750, batch loss=0.250870, epoch loss=1.312183 Batch=419, step=8820, lr=0.163250, batch loss=0.244745, epoch loss=1.556929 Batch=479, step=8880, lr=0.163000, batch loss=0.228201, epoch loss=1.785129 Batch=539, step=8940, lr=0.163000, batch loss=0.180186, epoch loss=1.965316 Batch=599, step=9000, lr=0.162750, batch loss=0.217476, epoch loss=2.182792 Batch=659, step=9060, lr=0.162500, batch loss=0.293713, epoch loss=2.476505 Batch=719, step=9120, lr=0.162250, batch loss=0.296223, epoch loss=2.772728 Batch=779, step=9180, lr=0.162000, batch loss=0.314865, epoch loss=3.087593 Batch=839, step=9240, lr=0.161750, batch loss=0.282234, epoch loss=3.369827 Batch=899, step=9300, lr=0.161500, batch loss=0.252774, epoch loss=3.622601 Batch=959, step=9360, lr=0.161250, batch loss=0.187353, epoch loss=3.809954 Batch=1019, step=9420, lr=0.161000, batch loss=0.320599, epoch loss=4.130553 Batch=1079, step=9480, lr=0.160750, batch loss=0.197414, epoch loss=4.327967 Batch=1139, step=9540, lr=0.160500, batch loss=0.213334, epoch loss=4.541301 Batch=1199, step=9600, lr=0.160250, batch loss=0.168462, epoch loss=4.709763 Epoch=7, step=9600, lr=0.160250, epoch loss=4.709763 Batch=59, step=9660, lr=0.160000, batch loss=0.199379, epoch loss=0.199379 Batch=119, step=9720, lr=0.159750, batch loss=0.164783, epoch loss=0.364161 Batch=179, step=9780, lr=0.159250, batch loss=0.179294, epoch loss=0.543456 Batch=239, step=9840, lr=0.159000, batch loss=0.262862, epoch loss=0.806318 Batch=299, step=9900, lr=0.159000, batch loss=0.183551, epoch loss=0.989869 Batch=359, step=9960, lr=0.158750, batch loss=0.240930, epoch loss=1.230800 Batch=419, step=10020, lr=0.158250, batch loss=0.233684, epoch loss=1.464484 Batch=479, step=10080, lr=0.158000, batch loss=0.214742, epoch loss=1.679226 Batch=539, step=10140, lr=0.158000, batch loss=0.171971, epoch loss=1.851197 Batch=599, step=10200, lr=0.157750, batch loss=0.202949, epoch loss=2.054146 Batch=659, step=10260, lr=0.157500, batch loss=0.282288, epoch loss=2.336434 Batch=719, step=10320, lr=0.157250, batch loss=0.285563, epoch loss=2.621996 Batch=779, step=10380, lr=0.156750, batch loss=0.295759, epoch loss=2.917756 Batch=839, step=10440, lr=0.156500, batch loss=0.267134, epoch loss=3.184890 Batch=899, step=10500, lr=0.156500, batch loss=0.237612, epoch loss=3.422502 Batch=959, step=10560, lr=0.156250, batch loss=0.179128, epoch loss=3.601630 Batch=1019, step=10620, lr=0.155750, batch loss=0.299441, epoch loss=3.901071 Batch=1079, step=10680, lr=0.155500, batch loss=0.176241, epoch loss=4.077312 Batch=1139, step=10740, lr=0.155250, batch loss=0.200625, epoch loss=4.277936 Batch=1199, step=10800, lr=0.155000, batch loss=0.156201, epoch loss=4.434137 Epoch=8, step=10800, lr=0.155000, epoch loss=4.434137 Batch=59, step=10860, lr=0.155000, batch loss=0.178000, epoch loss=0.178000 Batch=119, step=10920, lr=0.154500, batch loss=0.153490, epoch loss=0.331490 Batch=179, step=10980, lr=0.154500, batch loss=0.168537, epoch loss=0.500028 Batch=239, step=11040, lr=0.154250, batch loss=0.247850, epoch loss=0.747878 Batch=299, step=11100, lr=0.154000, batch loss=0.161568, epoch loss=0.909446 Batch=359, step=11160, lr=0.153750, batch loss=0.226945, epoch loss=1.136391 Batch=419, step=11220, lr=0.153500, batch loss=0.228472, epoch loss=1.364863 Batch=479, step=11280, lr=0.153250, batch loss=0.204334, epoch loss=1.569197 Batch=539, step=11340, lr=0.153000, batch loss=0.159628, epoch loss=1.728824 Batch=599, step=11400, lr=0.152750, batch loss=0.181067, epoch loss=1.909891 Batch=659, step=11460, lr=0.152500, batch loss=0.264373, epoch loss=2.174264 Batch=719, step=11520, lr=0.152250, batch loss=0.257237, epoch loss=2.431501 Batch=779, step=11580, lr=0.152000, batch loss=0.272813, epoch loss=2.704314 Batch=839, step=11640, lr=0.151750, batch loss=0.257318, epoch loss=2.961633 Batch=899, step=11700, lr=0.151500, batch loss=0.213776, epoch loss=3.175409 Batch=959, step=11760, lr=0.151250, batch loss=0.171357, epoch loss=3.346766 Batch=1019, step=11820, lr=0.151000, batch loss=0.264679, epoch loss=3.611444 Batch=1079, step=11880, lr=0.150750, batch loss=0.150183, epoch loss=3.761628 Batch=1139, step=11940, lr=0.150500, batch loss=0.188042, epoch loss=3.949670 Batch=1199, step=12000, lr=0.150000, batch loss=0.140351, epoch loss=4.090021 Epoch=9, step=12000, lr=0.150000, epoch loss=4.090021 Batch=59, step=12060, lr=0.149750, batch loss=0.159084, epoch loss=0.159084 Batch=119, step=12120, lr=0.149500, batch loss=0.128292, epoch loss=0.287376 Batch=179, step=12180, lr=0.149250, batch loss=0.152081, epoch loss=0.439457 Batch=239, step=12240, lr=0.149000, batch loss=0.224454, epoch loss=0.663911 Batch=299, step=12300, lr=0.148750, batch loss=0.143318, epoch loss=0.807229 Batch=359, step=12360, lr=0.148500, batch loss=0.197642, epoch loss=1.004871 Batch=419, step=12420, lr=0.148250, batch loss=0.206985, epoch loss=1.211857 Batch=479, step=12480, lr=0.148250, batch loss=0.181394, epoch loss=1.393251 Batch=539, step=12540, lr=0.148000, batch loss=0.143372, epoch loss=1.536622 Batch=599, step=12600, lr=0.147750, batch loss=0.153102, epoch loss=1.689724 Batch=659, step=12660, lr=0.147500, batch loss=0.224881, epoch loss=1.914605 Batch=719, step=12720, lr=0.147250, batch loss=0.237040, epoch loss=2.151645 Batch=779, step=12780, lr=0.147000, batch loss=0.253284, epoch loss=2.404929 Batch=839, step=12840, lr=0.146750, batch loss=0.224686, epoch loss=2.629615 Batch=899, step=12900, lr=0.146500, batch loss=0.188281, epoch loss=2.817895 Batch=959, step=12960, lr=0.146250, batch loss=0.155369, epoch loss=2.973264 Batch=1019, step=13020, lr=0.146000, batch loss=0.263614, epoch loss=3.236879 Batch=1079, step=13080, lr=0.145750, batch loss=0.117850, epoch loss=3.354728 Batch=1139, step=13140, lr=0.145500, batch loss=0.149835, epoch loss=3.504563 Batch=1199, step=13200, lr=0.145250, batch loss=0.118441, epoch loss=3.623005 Epoch=10, step=13200, lr=0.145250, epoch loss=3.623005 Batch=59, step=13260, lr=0.144750, batch loss=0.141338, epoch loss=0.141338 Batch=119, step=13320, lr=0.144750, batch loss=0.123404, epoch loss=0.264743 Batch=179, step=13380, lr=0.144500, batch loss=0.129840, epoch loss=0.394583 Batch=239, step=13440, lr=0.144250, batch loss=0.190795, epoch loss=0.585378 Batch=299, step=13500, lr=0.143750, batch loss=0.116324, epoch loss=0.701701 Batch=359, step=13560, lr=0.143750, batch loss=0.161746, epoch loss=0.863448 Batch=419, step=13620, lr=0.143500, batch loss=0.162284, epoch loss=1.025731 Batch=479, step=13680, lr=0.143250, batch loss=0.149972, epoch loss=1.175704 Batch=539, step=13740, lr=0.143000, batch loss=0.119443, epoch loss=1.295146 Batch=599, step=13800, lr=0.142750, batch loss=0.122253, epoch loss=1.417399 Batch=659, step=13860, lr=0.142500, batch loss=0.178714, epoch loss=1.596113 Batch=719, step=13920, lr=0.142250, batch loss=0.175635, epoch loss=1.771747 Batch=779, step=13980, lr=0.142000, batch loss=0.200224, epoch loss=1.971972 Batch=839, step=14040, lr=0.141750, batch loss=0.189000, epoch loss=2.160972 Batch=899, step=14100, lr=0.141500, batch loss=0.162682, epoch loss=2.323654 Batch=959, step=14160, lr=0.141250, batch loss=0.159573, epoch loss=2.483227 Batch=1019, step=14220, lr=0.141000, batch loss=0.376021, epoch loss=2.859248 Batch=1079, step=14280, lr=0.140750, batch loss=0.069281, epoch loss=2.928529 Batch=1139, step=14340, lr=0.140500, batch loss=0.125556, epoch loss=3.054085 Batch=1199, step=14400, lr=0.140250, batch loss=0.094813, epoch loss=3.148898 Epoch=11, step=14400, lr=0.140250, epoch loss=3.148898 Batch=59, step=14460, lr=0.140000, batch loss=0.114017, epoch loss=0.114017 Batch=119, step=14520, lr=0.139750, batch loss=0.104340, epoch loss=0.218357 Batch=179, step=14580, lr=0.139500, batch loss=0.108391, epoch loss=0.326748 Batch=239, step=14640, lr=0.139250, batch loss=0.145416, epoch loss=0.472164 Batch=299, step=14700, lr=0.139000, batch loss=0.083103, epoch loss=0.555267 Batch=359, step=14760, lr=0.138750, batch loss=0.125957, epoch loss=0.681224 Batch=419, step=14820, lr=0.138500, batch loss=0.131813, epoch loss=0.813037 Batch=479, step=14880, lr=0.138250, batch loss=0.101170, epoch loss=0.914207 Batch=539, step=14940, lr=0.137750, batch loss=0.087777, epoch loss=1.001984 Batch=599, step=15000, lr=0.137500, batch loss=0.088862, epoch loss=1.090846 Batch=659, step=15060, lr=0.137500, batch loss=0.130018, epoch loss=1.220864 Batch=719, step=15120, lr=0.137250, batch loss=0.128312, epoch loss=1.349176 Batch=779, step=15180, lr=0.137000, batch loss=0.150189, epoch loss=1.499365 Batch=839, step=15240, lr=0.136750, batch loss=0.166798, epoch loss=1.666163 Batch=899, step=15300, lr=0.136500, batch loss=0.265553, epoch loss=1.931716 Batch=959, step=15360, lr=0.136250, batch loss=0.068095, epoch loss=1.999811 Batch=1019, step=15420, lr=0.136000, batch loss=0.156805, epoch loss=2.156616 Batch=1079, step=15480, lr=0.135500, batch loss=0.045486, epoch loss=2.202102 Batch=1139, step=15540, lr=0.135500, batch loss=0.106858, epoch loss=2.308961 Batch=1199, step=15600, lr=0.135250, batch loss=0.064321, epoch loss=2.373282 Epoch=12, step=15600, lr=0.135250, epoch loss=2.373282 Batch=59, step=15660, lr=0.135000, batch loss=0.077051, epoch loss=0.077051 Batch=119, step=15720, lr=0.134750, batch loss=0.102136, epoch loss=0.179187 Batch=179, step=15780, lr=0.134500, batch loss=0.089427, epoch loss=0.268614 Batch=239, step=15840, lr=0.134250, batch loss=0.092977, epoch loss=0.361591 Batch=299, step=15900, lr=0.134000, batch loss=0.041358, epoch loss=0.402949 Batch=359, step=15960, lr=0.133750, batch loss=0.082314, epoch loss=0.485263 Batch=419, step=16020, lr=0.133500, batch loss=0.082439, epoch loss=0.567702 Batch=479, step=16080, lr=0.133250, batch loss=0.068187, epoch loss=0.635889 Batch=539, step=16140, lr=0.133000, batch loss=0.056991, epoch loss=0.692880 Batch=599, step=16200, lr=0.132750, batch loss=0.108519, epoch loss=0.801399 Batch=659, step=16260, lr=0.132500, batch loss=0.079341, epoch loss=0.880740 Batch=719, step=16320, lr=0.132250, batch loss=0.086383, epoch loss=0.967123 Batch=779, step=16380, lr=0.132000, batch loss=0.102458, epoch loss=1.069582 Batch=839, step=16440, lr=0.131750, batch loss=0.128381, epoch loss=1.197963 Batch=899, step=16500, lr=0.131500, batch loss=0.158620, epoch loss=1.356583 Batch=959, step=16560, lr=0.131250, batch loss=0.046583, epoch loss=1.403165 Batch=1019, step=16620, lr=0.131000, batch loss=0.118315, epoch loss=1.521481 Batch=1079, step=16680, lr=0.130750, batch loss=0.020467, epoch loss=1.541948 Batch=1139, step=16740, lr=0.130500, batch loss=0.047385, epoch loss=1.589333 Batch=1199, step=16800, lr=0.130250, batch loss=0.026241, epoch loss=1.615574 Epoch=13, step=16800, lr=0.130250, epoch loss=1.615574 Batch=59, step=16860, lr=0.130000, batch loss=0.040649, epoch loss=0.040649 Batch=119, step=16920, lr=0.129750, batch loss=0.068563, epoch loss=0.109212 Batch=179, step=16980, lr=0.129250, batch loss=0.056953, epoch loss=0.166165 Batch=239, step=17040, lr=0.129000, batch loss=0.063149, epoch loss=0.229313 Batch=299, step=17100, lr=0.129000, batch loss=0.027117, epoch loss=0.256430 Batch=359, step=17160, lr=0.128750, batch loss=0.048396, epoch loss=0.304827 Batch=419, step=17220, lr=0.128250, batch loss=0.062645, epoch loss=0.367471 Batch=479, step=17280, lr=0.128250, batch loss=0.025270, epoch loss=0.392741 Batch=539, step=17340, lr=0.128000, batch loss=0.028315, epoch loss=0.421056 Batch=599, step=17400, lr=0.127750, batch loss=0.034666, epoch loss=0.455722 Batch=659, step=17460, lr=0.127500, batch loss=0.048789, epoch loss=0.504511 Batch=719, step=17520, lr=0.127250, batch loss=0.068523, epoch loss=0.573033 Batch=779, step=17580, lr=0.127000, batch loss=0.069894, epoch loss=0.642927 Batch=839, step=17640, lr=0.126750, batch loss=0.128298, epoch loss=0.771225 Batch=899, step=17700, lr=0.126250, batch loss=0.061847, epoch loss=0.833072 Batch=959, step=17760, lr=0.126250, batch loss=0.025837, epoch loss=0.858909 Batch=1019, step=17820, lr=0.126000, batch loss=0.041790, epoch loss=0.900699 Batch=1079, step=17880, lr=0.125750, batch loss=0.022980, epoch loss=0.923679 Batch=1139, step=17940, lr=0.125500, batch loss=0.049385, epoch loss=0.973065 Batch=1199, step=18000, lr=0.125250, batch loss=0.020423, epoch loss=0.993487 Epoch=14, step=18000, lr=0.125250, epoch loss=0.993487 Batch=59, step=18060, lr=0.125000, batch loss=0.012880, epoch loss=0.012880 Batch=119, step=18120, lr=0.124750, batch loss=0.021354, epoch loss=0.034234 Batch=179, step=18180, lr=0.124250, batch loss=0.028670, epoch loss=0.062904 Batch=239, step=18240, lr=0.124250, batch loss=0.036298, epoch loss=0.099202 Batch=299, step=18300, lr=0.124000, batch loss=0.016632, epoch loss=0.115834 Batch=359, step=18360, lr=0.123750, batch loss=0.025083, epoch loss=0.140916 Batch=419, step=18420, lr=0.123500, batch loss=0.032154, epoch loss=0.173071 Batch=479, step=18480, lr=0.123250, batch loss=0.027729, epoch loss=0.200799 Batch=539, step=18540, lr=0.123000, batch loss=0.053166, epoch loss=0.253965 Batch=599, step=18600, lr=0.122750, batch loss=0.027053, epoch loss=0.281019 Batch=659, step=18660, lr=0.122500, batch loss=0.034178, epoch loss=0.315197 Batch=719, step=18720, lr=0.122250, batch loss=0.033354, epoch loss=0.348551 Batch=779, step=18780, lr=0.122000, batch loss=0.082514, epoch loss=0.431065 Batch=839, step=18840, lr=0.121750, batch loss=0.052658, epoch loss=0.483723 Batch=899, step=18900, lr=0.121500, batch loss=0.051188, epoch loss=0.534912 Batch=959, step=18960, lr=0.121250, batch loss=0.015528, epoch loss=0.550439 Batch=1019, step=19020, lr=0.121000, batch loss=0.029167, epoch loss=0.579606 Batch=1079, step=19080, lr=0.120750, batch loss=0.011010, epoch loss=0.590616 Batch=1139, step=19140, lr=0.120500, batch loss=0.023824, epoch loss=0.614440 Batch=1199, step=19200, lr=0.120250, batch loss=0.010192, epoch loss=0.624632 Epoch=15, step=19200, lr=0.120250, epoch loss=0.624632 Batch=59, step=19260, lr=0.120000, batch loss=0.005271, epoch loss=0.005271 Batch=119, step=19320, lr=0.119750, batch loss=0.018876, epoch loss=0.024147 Batch=179, step=19380, lr=0.119500, batch loss=0.046517, epoch loss=0.070665 Batch=239, step=19440, lr=0.119250, batch loss=0.020913, epoch loss=0.091578 Batch=299, step=19500, lr=0.119000, batch loss=0.005296, epoch loss=0.096874 Batch=359, step=19560, lr=0.118750, batch loss=0.016911, epoch loss=0.113785 Batch=419, step=19620, lr=0.118500, batch loss=0.019925, epoch loss=0.133710 Batch=479, step=19680, lr=0.118250, batch loss=0.008898, epoch loss=0.142608 Batch=539, step=19740, lr=0.118000, batch loss=0.018823, epoch loss=0.161431 Batch=599, step=19800, lr=0.117750, batch loss=0.020291, epoch loss=0.181721 Batch=659, step=19860, lr=0.117500, batch loss=0.020150, epoch loss=0.201872 Batch=719, step=19920, lr=0.117250, batch loss=0.022688, epoch loss=0.224560 Batch=779, step=19980, lr=0.117000, batch loss=0.054626, epoch loss=0.279186 Batch=839, step=20040, lr=0.116750, batch loss=0.038856, epoch loss=0.318042 Batch=899, step=20100, lr=0.116500, batch loss=0.049065, epoch loss=0.367107 Batch=959, step=20160, lr=0.116250, batch loss=0.011444, epoch loss=0.378551 Batch=1019, step=20220, lr=0.116000, batch loss=0.012539, epoch loss=0.391090 Batch=1079, step=20280, lr=0.115750, batch loss=0.004629, epoch loss=0.395719 Batch=1139, step=20340, lr=0.115500, batch loss=0.016566, epoch loss=0.412285 Batch=1199, step=20400, lr=0.115250, batch loss=0.006649, epoch loss=0.418934 Epoch=16, step=20400, lr=0.115250, epoch loss=0.418934 Batch=59, step=20460, lr=0.114750, batch loss=0.003103, epoch loss=0.003103 Batch=119, step=20520, lr=0.114750, batch loss=0.011199, epoch loss=0.014302 Batch=179, step=20580, lr=0.114500, batch loss=0.026356, epoch loss=0.040657 Batch=239, step=20640, lr=0.114250, batch loss=0.014862, epoch loss=0.055519 Batch=299, step=20700, lr=0.114000, batch loss=0.004415, epoch loss=0.059934 Batch=359, step=20760, lr=0.113750, batch loss=0.013694, epoch loss=0.073628 Batch=419, step=20820, lr=0.113500, batch loss=0.015100, epoch loss=0.088728 Batch=479, step=20880, lr=0.113000, batch loss=0.005352, epoch loss=0.094080 Batch=539, step=20940, lr=0.112750, batch loss=0.016099, epoch loss=0.110179 Batch=599, step=21000, lr=0.112750, batch loss=0.018904, epoch loss=0.129083 Batch=659, step=21060, lr=0.112500, batch loss=0.015165, epoch loss=0.144248 Batch=719, step=21120, lr=0.112250, batch loss=0.042136, epoch loss=0.186384 Batch=779, step=21180, lr=0.112000, batch loss=0.076342, epoch loss=0.262726 Batch=839, step=21240, lr=0.111750, batch loss=0.026555, epoch loss=0.289281 Batch=899, step=21300, lr=0.111250, batch loss=0.035032, epoch loss=0.324314 Batch=959, step=21360, lr=0.111250, batch loss=0.010047, epoch loss=0.334361 Batch=1019, step=21420, lr=0.111000, batch loss=0.011136, epoch loss=0.345497 Batch=1079, step=21480, lr=0.110750, batch loss=0.000740, epoch loss=0.346237 Batch=1139, step=21540, lr=0.110500, batch loss=0.013325, epoch loss=0.359561 Batch=1199, step=21600, lr=0.110250, batch loss=0.005288, epoch loss=0.364849 Epoch=17, step=21600, lr=0.110250, epoch loss=0.364849 Batch=59, step=21660, lr=0.110000, batch loss=0.002348, epoch loss=0.002348 Batch=119, step=21720, lr=0.109750, batch loss=0.006454, epoch loss=0.008802 Batch=179, step=21780, lr=0.109500, batch loss=0.013032, epoch loss=0.021834 Batch=239, step=21840, lr=0.109250, batch loss=0.010022, epoch loss=0.031856 Batch=299, step=21900, lr=0.109000, batch loss=0.013231, epoch loss=0.045086 Batch=359, step=21960, lr=0.108750, batch loss=0.013177, epoch loss=0.058263 Batch=419, step=22020, lr=0.108500, batch loss=0.012185, epoch loss=0.070448 Batch=479, step=22080, lr=0.108250, batch loss=0.002735, epoch loss=0.073184 Batch=539, step=22140, lr=0.108000, batch loss=0.019140, epoch loss=0.092324 Batch=599, step=22200, lr=0.107750, batch loss=0.016943, epoch loss=0.109267 Batch=659, step=22260, lr=0.107250, batch loss=0.015236, epoch loss=0.124503 Batch=719, step=22320, lr=0.107000, batch loss=0.027343, epoch loss=0.151846 Batch=779, step=22380, lr=0.107000, batch loss=0.036887, epoch loss=0.188734 Batch=839, step=22440, lr=0.106750, batch loss=0.025996, epoch loss=0.214730 Batch=899, step=22500, lr=0.106500, batch loss=0.027814, epoch loss=0.242544 Batch=959, step=22560, lr=0.106250, batch loss=0.008834, epoch loss=0.251378 Batch=1019, step=22620, lr=0.106000, batch loss=0.010257, epoch loss=0.261634 Batch=1079, step=22680, lr=0.105750, batch loss=0.000640, epoch loss=0.262274 Batch=1139, step=22740, lr=0.105500, batch loss=0.010441, epoch loss=0.272715 Batch=1199, step=22800, lr=0.105250, batch loss=0.004534, epoch loss=0.277249 Epoch=18, step=22800, lr=0.105250, epoch loss=0.277249 Batch=59, step=22860, lr=0.105000, batch loss=0.001455, epoch loss=0.001455 Batch=119, step=22920, lr=0.104750, batch loss=0.005543, epoch loss=0.006998 Batch=179, step=22980, lr=0.104500, batch loss=0.011118, epoch loss=0.018116 Batch=239, step=23040, lr=0.104250, batch loss=0.009440, epoch loss=0.027556 Batch=299, step=23100, lr=0.104000, batch loss=0.009273, epoch loss=0.036829 Batch=359, step=23160, lr=0.103750, batch loss=0.012564, epoch loss=0.049393 Batch=419, step=23220, lr=0.103500, batch loss=0.010875, epoch loss=0.060268 Batch=479, step=23280, lr=0.103250, batch loss=0.002606, epoch loss=0.062874 Batch=539, step=23340, lr=0.103000, batch loss=0.016725, epoch loss=0.079599 Batch=599, step=23400, lr=0.102750, batch loss=0.013992, epoch loss=0.093591 Batch=659, step=23460, lr=0.102500, batch loss=0.011512, epoch loss=0.105103 Batch=719, step=23520, lr=0.102250, batch loss=0.012604, epoch loss=0.117707 Batch=779, step=23580, lr=0.102000, batch loss=0.022679, epoch loss=0.140386 Batch=839, step=23640, lr=0.101750, batch loss=0.027761, epoch loss=0.168147 Batch=899, step=23700, lr=0.101500, batch loss=0.022026, epoch loss=0.190173 Batch=959, step=23760, lr=0.101250, batch loss=0.009902, epoch loss=0.200075 Batch=1019, step=23820, lr=0.101000, batch loss=0.008664, epoch loss=0.208739 Batch=1079, step=23880, lr=0.100500, batch loss=0.001373, epoch loss=0.210112 Batch=1139, step=23940, lr=0.100500, batch loss=0.008762, epoch loss=0.218874 Batch=1199, step=24000, lr=0.100250, batch loss=0.004736, epoch loss=0.223610 Epoch=19, step=24000, lr=0.100250, epoch loss=0.223610 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:36.18 ---> saved as "c29c8fb4beff23c970bbe0da2099c20da05c925621d234d96eaf66511f2cf01c" Job succeeded 2025-03-20 22:36.21: Job succeeded