2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (linux-x86_64:(lower-bound)) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 451f36ee cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-b52341ba23877e94ae09b5dde4872bfa" 2025-03-20 22:51.40: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:52.54: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-20 22:52.54 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:52.54 ---> 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. Continue? [y/n] y 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. [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:52.54 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-20 22:52.54 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:52.54 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.54 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:52.54 ---> using "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:52.54 ---> using "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:52.54 ---> using "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" from cache /src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.32.1 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 0s (873 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-20 22:52.54 ---> using "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" 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 0.15.0 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.14.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - 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 0.32.1 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved angstrom.0.15.0 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> installed conf-pkg-config.1.0 -> retrieved cppo.1.6.7 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved backoff.0.1.0 (https://github.com/ocaml-multicore/backoff/releases/download/0.1.0/backoff-0.1.0.tbz) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved ocamlbuild.0.14.3 (cached) -> retrieved ocamlfind.1.9.6 (cached) -> retrieved dune.3.14.0 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.5.2 (cached) -> retrieved ppx_expect.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed ptime.0.8.6 -> installed dune.3.14.0 -> installed backoff.0.1.0 -> installed bigarray-compat.1.1.0 -> installed bigstringaf.0.5.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed stdlib-shims.0.1.0 -> installed multicore-magic.2.3.0 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.6.7 -> installed integers.0.6.0 -> installed saturn_lockfree.0.5.0 -> installed ocaml-syntax-shims.1.0.0 -> installed dune-configurator.2.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.9.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.13.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.32.1 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.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.5.2 -> 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.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.54 ---> using "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:52.54 ---> saved as "695f76d301ab7473b7734078582133a6d3d463f023874d2411bab9b3f49a9fd1" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/63d97d0936b9926af45070a36139bfb1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/61c1f28e0549f456ac43bcc2bae3a0b0/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/61c1f28e0549f456ac43bcc2bae3a0b0/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199000, batch loss=0.856726, epoch loss=35.627544 Batch=299, step=300, lr=0.198750, batch loss=1.433764, epoch loss=37.061309 Batch=359, step=360, lr=0.198500, batch loss=1.340037, epoch loss=38.401346 Batch=419, step=420, lr=0.198250, batch loss=0.610733, epoch loss=39.012078 Batch=479, step=480, lr=0.198000, batch loss=0.747543, epoch loss=39.759621 Batch=539, step=540, lr=0.197750, batch loss=0.688127, epoch loss=40.447748 Batch=599, step=600, lr=0.197500, batch loss=1.103938, epoch loss=41.551686 Batch=659, step=660, lr=0.197250, batch loss=0.481713, epoch loss=42.033398 Batch=719, step=720, lr=0.197250, batch loss=0.410753, epoch loss=42.444152 Batch=779, step=780, lr=0.196750, batch loss=0.469716, epoch loss=42.913867 Batch=839, step=840, lr=0.196750, batch loss=0.450327, epoch loss=43.364194 Batch=899, step=900, lr=0.196250, batch loss=0.383595, epoch loss=43.747789 Batch=959, step=960, lr=0.196000, batch loss=0.269474, epoch loss=44.017263 Batch=1019, step=1020, lr=0.195750, batch loss=0.485751, epoch loss=44.503014 Batch=1079, step=1080, lr=0.195750, batch loss=0.267236, epoch loss=44.770250 Batch=1139, step=1140, lr=0.195250, batch loss=0.329759, epoch loss=45.100009 Batch=1199, step=1200, lr=0.195000, batch loss=0.263896, epoch loss=45.363905 Epoch=0, step=1200, lr=0.195000, epoch loss=45.363905 Batch=59, step=1260, lr=0.194750, batch loss=0.263802, epoch loss=0.263802 Batch=119, step=1320, lr=0.194500, batch loss=0.208078, epoch loss=0.471880 Batch=179, step=1380, lr=0.194500, batch loss=0.249506, epoch loss=0.721387 Batch=239, step=1440, lr=0.194250, batch loss=0.351537, epoch loss=1.072924 Batch=299, step=1500, lr=0.194000, batch loss=0.237176, epoch loss=1.310100 Batch=359, step=1560, lr=0.193750, batch loss=0.313336, epoch loss=1.623436 Batch=419, step=1620, lr=0.193250, batch loss=0.312699, epoch loss=1.936135 Batch=479, step=1680, lr=0.193000, batch loss=0.277229, epoch loss=2.213363 Batch=539, step=1740, lr=0.193000, batch loss=0.209887, epoch loss=2.423250 Batch=599, step=1800, lr=0.192750, batch loss=0.245887, epoch loss=2.669137 Batch=659, step=1860, lr=0.192500, batch loss=0.362910, epoch loss=3.032047 Batch=719, step=1920, lr=0.192250, batch loss=0.356906, epoch loss=3.388952 Batch=779, step=1980, lr=0.192000, batch loss=0.382462, epoch loss=3.771414 Batch=839, step=2040, lr=0.191750, batch loss=0.342156, epoch loss=4.113570 Batch=899, step=2100, lr=0.191500, batch loss=0.295898, epoch loss=4.409468 Batch=959, step=2160, lr=0.191250, batch loss=0.215279, epoch loss=4.624747 Batch=1019, step=2220, lr=0.191000, batch loss=0.332004, epoch loss=4.956750 Batch=1079, step=2280, lr=0.190750, batch loss=0.210517, epoch loss=5.167268 Batch=1139, step=2340, lr=0.190500, batch loss=0.270421, epoch loss=5.437689 Batch=1199, step=2400, lr=0.190250, batch loss=0.219730, epoch loss=5.657418 Epoch=1, step=2400, lr=0.190250, epoch loss=5.657418 Batch=59, step=2460, lr=0.190000, batch loss=0.230949, epoch loss=0.230949 Batch=119, step=2520, lr=0.189750, batch loss=0.199141, epoch loss=0.430090 Batch=179, step=2580, lr=0.189500, batch loss=0.220921, epoch loss=0.651011 Batch=239, step=2640, lr=0.189250, batch loss=0.329281, epoch loss=0.980292 Batch=299, step=2700, lr=0.189000, batch loss=0.203480, epoch loss=1.183773 Batch=359, step=2760, lr=0.188750, batch loss=0.290390, epoch loss=1.474163 Batch=419, step=2820, lr=0.188500, batch loss=0.281098, epoch loss=1.755260 Batch=479, step=2880, lr=0.188250, batch loss=0.253170, epoch loss=2.008430 Batch=539, step=2940, lr=0.188000, batch loss=0.197737, epoch loss=2.206167 Batch=599, step=3000, lr=0.187750, batch loss=0.241404, epoch loss=2.447571 Batch=659, step=3060, lr=0.187500, batch loss=0.351388, epoch loss=2.798959 Batch=719, step=3120, lr=0.187250, batch loss=0.346558, epoch loss=3.145517 Batch=779, step=3180, lr=0.187000, batch loss=0.366143, epoch loss=3.511660 Batch=839, step=3240, lr=0.186750, batch loss=0.323437, epoch loss=3.835097 Batch=899, step=3300, lr=0.186500, batch loss=0.286741, epoch loss=4.121837 Batch=959, step=3360, lr=0.186250, batch loss=0.211745, epoch loss=4.333582 Batch=1019, step=3420, lr=0.186000, batch loss=0.308211, epoch loss=4.641793 Batch=1079, step=3480, lr=0.185750, batch loss=0.187467, epoch loss=4.829260 Batch=1139, step=3540, lr=0.185500, batch loss=0.231390, epoch loss=5.060650 Batch=1199, step=3600, lr=0.185250, batch loss=0.198774, epoch loss=5.259424 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259424 Batch=59, step=3660, lr=0.185000, batch loss=0.226172, epoch loss=0.226172 Batch=119, step=3720, lr=0.184750, batch loss=0.194926, epoch loss=0.421097 Batch=179, step=3780, lr=0.184500, batch loss=0.211820, epoch loss=0.632918 Batch=239, step=3840, lr=0.184250, batch loss=0.318479, epoch loss=0.951397 Batch=299, step=3900, lr=0.184000, batch loss=0.217249, epoch loss=1.168646 Batch=359, step=3960, lr=0.183750, batch loss=0.292910, epoch loss=1.461555 Batch=419, step=4020, lr=0.183500, batch loss=0.292234, epoch loss=1.753789 Batch=479, step=4080, lr=0.183250, batch loss=0.265038, epoch loss=2.018827 Batch=539, step=4140, lr=0.183000, batch loss=0.200807, epoch loss=2.219634 Batch=599, step=4200, lr=0.182750, batch loss=0.257987, epoch loss=2.477620 Batch=659, step=4260, lr=0.182500, batch loss=0.342814, epoch loss=2.820434 Batch=719, step=4320, lr=0.182250, batch loss=0.350212, epoch loss=3.170646 Batch=779, step=4380, lr=0.182000, batch loss=0.345649, epoch loss=3.516296 Batch=839, step=4440, lr=0.181750, batch loss=0.314068, epoch loss=3.830364 Batch=899, step=4500, lr=0.181500, batch loss=0.286153, epoch loss=4.116517 Batch=959, step=4560, lr=0.181250, batch loss=0.238983, epoch loss=4.355500 Batch=1019, step=4620, lr=0.181000, batch loss=0.334709, epoch loss=4.690209 Batch=1079, step=4680, lr=0.180750, batch loss=0.209957, epoch loss=4.900165 Batch=1139, step=4740, lr=0.180500, batch loss=0.251425, epoch loss=5.151590 Batch=1199, step=4800, lr=0.180250, batch loss=0.192377, epoch loss=5.343967 Epoch=3, step=4800, lr=0.180250, epoch loss=5.343967 Batch=59, step=4860, lr=0.180000, batch loss=0.223917, epoch loss=0.223917 Batch=119, step=4920, lr=0.179750, batch loss=0.188152, epoch loss=0.412069 Batch=179, step=4980, lr=0.179500, batch loss=0.207012, epoch loss=0.619080 Batch=239, step=5040, lr=0.179250, batch loss=0.307052, epoch loss=0.926132 Batch=299, step=5100, lr=0.179000, batch loss=0.202433, epoch loss=1.128565 Batch=359, step=5160, lr=0.178750, batch loss=0.274205, epoch loss=1.402771 Batch=419, step=5220, lr=0.178500, batch loss=0.265435, epoch loss=1.668206 Batch=479, step=5280, lr=0.178250, batch loss=0.240287, epoch loss=1.908493 Batch=539, step=5340, lr=0.178000, batch loss=0.191192, epoch loss=2.099685 Batch=599, step=5400, lr=0.177750, batch loss=0.231158, epoch loss=2.330842 Batch=659, step=5460, lr=0.177500, batch loss=0.325852, epoch loss=2.656695 Batch=719, step=5520, lr=0.177250, batch loss=0.333995, epoch loss=2.990689 Batch=779, step=5580, lr=0.177000, batch loss=0.343124, epoch loss=3.333813 Batch=839, step=5640, lr=0.176750, batch loss=0.310158, epoch loss=3.643971 Batch=899, step=5700, lr=0.176500, batch loss=0.273105, epoch loss=3.917077 Batch=959, step=5760, lr=0.176250, batch loss=0.215760, epoch loss=4.132837 Batch=1019, step=5820, lr=0.176000, batch loss=0.338433, epoch loss=4.471270 Batch=1079, step=5880, lr=0.175750, batch loss=0.195130, epoch loss=4.666400 Batch=1139, step=5940, lr=0.175500, batch loss=0.228293, epoch loss=4.894693 Batch=1199, step=6000, lr=0.175250, batch loss=0.185329, epoch loss=5.080023 Epoch=4, step=6000, lr=0.175250, epoch loss=5.080023 Batch=59, step=6060, lr=0.175000, batch loss=0.225123, epoch loss=0.225123 Batch=119, step=6120, lr=0.174750, batch loss=0.186006, epoch loss=0.411129 Batch=179, step=6180, lr=0.174500, batch loss=0.202145, epoch loss=0.613274 Batch=239, step=6240, lr=0.174250, batch loss=0.301672, epoch loss=0.914946 Batch=299, step=6300, lr=0.174000, batch loss=0.206009, epoch loss=1.120955 Batch=359, step=6360, lr=0.173750, batch loss=0.268682, epoch loss=1.389637 Batch=419, step=6420, lr=0.173500, batch loss=0.267294, epoch loss=1.656932 Batch=479, step=6480, lr=0.173250, batch loss=0.243092, epoch loss=1.900024 Batch=539, step=6540, lr=0.173000, batch loss=0.195156, epoch loss=2.095179 Batch=599, step=6600, lr=0.172750, batch loss=0.233577, epoch loss=2.328756 Batch=659, step=6660, lr=0.172500, batch loss=0.313967, epoch loss=2.642723 Batch=719, step=6720, lr=0.172250, batch loss=0.319425, epoch loss=2.962148 Batch=779, step=6780, lr=0.171750, batch loss=0.335680, epoch loss=3.297827 Batch=839, step=6840, lr=0.171500, batch loss=0.304317, epoch loss=3.602145 Batch=899, step=6900, lr=0.171250, batch loss=0.267701, epoch loss=3.869846 Batch=959, step=6960, lr=0.171000, batch loss=0.211441, epoch loss=4.081288 Batch=1019, step=7020, lr=0.170750, batch loss=0.332264, epoch loss=4.413551 Batch=1079, step=7080, lr=0.170500, batch loss=0.181479, epoch loss=4.595030 Batch=1139, step=7140, lr=0.170250, batch loss=0.217108, epoch loss=4.812139 Batch=1199, step=7200, lr=0.170000, batch loss=0.182200, epoch loss=4.994339 Epoch=5, step=7200, lr=0.170000, epoch loss=4.994339 Batch=59, step=7260, lr=0.170000, batch loss=0.234913, epoch loss=0.234913 Batch=119, step=7320, lr=0.169500, batch loss=0.184606, epoch loss=0.419519 Batch=179, step=7380, lr=0.169250, batch loss=0.196635, epoch loss=0.616154 Batch=239, step=7440, lr=0.169000, batch loss=0.293294, epoch loss=0.909448 Batch=299, step=7500, lr=0.168750, batch loss=0.200947, epoch loss=1.110395 Batch=359, step=7560, lr=0.168500, batch loss=0.259761, epoch loss=1.370156 Batch=419, step=7620, lr=0.168250, batch loss=0.258377, epoch loss=1.628532 Batch=479, step=7680, lr=0.168250, batch loss=0.236876, epoch loss=1.865409 Batch=539, step=7740, lr=0.167750, batch loss=0.189165, epoch loss=2.054573 Batch=599, step=7800, lr=0.167500, batch loss=0.224403, epoch loss=2.278976 Batch=659, step=7860, lr=0.167250, batch loss=0.306402, epoch loss=2.585378 Batch=719, step=7920, lr=0.167250, batch loss=0.309742, epoch loss=2.895120 Batch=779, step=7980, lr=0.166750, batch loss=0.326662, epoch loss=3.221782 Batch=839, step=8040, lr=0.166500, batch loss=0.293561, epoch loss=3.515342 Batch=899, step=8100, lr=0.166250, batch loss=0.261807, epoch loss=3.777149 Batch=959, step=8160, lr=0.166000, batch loss=0.202195, epoch loss=3.979344 Batch=1019, step=8220, lr=0.165750, batch loss=0.321306, epoch loss=4.300650 Batch=1079, step=8280, lr=0.165750, batch loss=0.180773, epoch loss=4.481423 Batch=1139, step=8340, lr=0.165250, batch loss=0.211042, epoch loss=4.692464 Batch=1199, step=8400, lr=0.165000, batch loss=0.178891, epoch loss=4.871355 Epoch=6, step=8400, lr=0.165000, epoch loss=4.871355 Batch=59, step=8460, lr=0.165000, batch loss=0.227288, epoch loss=0.227288 Batch=119, step=8520, lr=0.164500, batch loss=0.177452, epoch loss=0.404740 Batch=179, step=8580, lr=0.164250, batch loss=0.189573, epoch loss=0.594312 Batch=239, step=8640, lr=0.164000, batch loss=0.279871, epoch loss=0.874183 Batch=299, step=8700, lr=0.163750, batch loss=0.195607, epoch loss=1.069790 Batch=359, step=8760, lr=0.163500, batch loss=0.254723, epoch loss=1.324513 Batch=419, step=8820, lr=0.163250, batch loss=0.247401, epoch loss=1.571914 Batch=479, step=8880, lr=0.163000, batch loss=0.228846, epoch loss=1.800761 Batch=539, step=8940, lr=0.162750, batch loss=0.180034, epoch loss=1.980795 Batch=599, step=9000, lr=0.162500, batch loss=0.217416, epoch loss=2.198211 Batch=659, step=9060, lr=0.162250, batch loss=0.294507, epoch loss=2.492718 Batch=719, step=9120, lr=0.162000, batch loss=0.297043, epoch loss=2.789761 Batch=779, step=9180, lr=0.161750, batch loss=0.316391, epoch loss=3.106152 Batch=839, step=9240, lr=0.161750, batch loss=0.280222, epoch loss=3.386373 Batch=899, step=9300, lr=0.161250, batch loss=0.253656, epoch loss=3.640030 Batch=959, step=9360, lr=0.161000, batch loss=0.209516, epoch loss=3.849546 Batch=1019, step=9420, lr=0.160750, batch loss=0.298449, epoch loss=4.147995 Batch=1079, step=9480, lr=0.160500, batch loss=0.173272, epoch loss=4.321267 Batch=1139, step=9540, lr=0.160250, batch loss=0.201080, epoch loss=4.522347 Batch=1199, step=9600, lr=0.160000, batch loss=0.164359, epoch loss=4.686706 Epoch=7, step=9600, lr=0.160000, epoch loss=4.686706 Batch=59, step=9660, lr=0.160000, batch loss=0.189137, epoch loss=0.189137 Batch=119, step=9720, lr=0.159500, batch loss=0.159249, epoch loss=0.348386 Batch=179, step=9780, lr=0.159250, batch loss=0.179312, epoch loss=0.527698 Batch=239, step=9840, lr=0.159250, batch loss=0.263520, epoch loss=0.791218 Batch=299, step=9900, lr=0.158750, batch loss=0.180552, epoch loss=0.971770 Batch=359, step=9960, lr=0.158500, batch loss=0.237816, epoch loss=1.209586 Batch=419, step=10020, lr=0.158250, batch loss=0.234821, epoch loss=1.444407 Batch=479, step=10080, lr=0.158000, batch loss=0.220100, epoch loss=1.664507 Batch=539, step=10140, lr=0.157750, batch loss=0.165152, epoch loss=1.829659 Batch=599, step=10200, lr=0.157500, batch loss=0.203213, epoch loss=2.032872 Batch=659, step=10260, lr=0.157500, batch loss=0.281531, epoch loss=2.314403 Batch=719, step=10320, lr=0.157000, batch loss=0.284229, epoch loss=2.598632 Batch=779, step=10380, lr=0.156750, batch loss=0.291895, epoch loss=2.890527 Batch=839, step=10440, lr=0.156750, batch loss=0.267035, epoch loss=3.157562 Batch=899, step=10500, lr=0.156250, batch loss=0.243617, epoch loss=3.401179 Batch=959, step=10560, lr=0.156000, batch loss=0.195565, epoch loss=3.596743 Batch=1019, step=10620, lr=0.155750, batch loss=0.280479, epoch loss=3.877222 Batch=1079, step=10680, lr=0.155500, batch loss=0.175345, epoch loss=4.052567 Batch=1139, step=10740, lr=0.155250, batch loss=0.198406, epoch loss=4.250973 Batch=1199, step=10800, lr=0.155250, batch loss=0.154585, epoch loss=4.405559 Epoch=8, step=10800, lr=0.155250, epoch loss=4.405559 Batch=59, step=10860, lr=0.154750, batch loss=0.174206, epoch loss=0.174206 Batch=119, step=10920, lr=0.154500, batch loss=0.143331, epoch loss=0.317536 Batch=179, step=10980, lr=0.154500, batch loss=0.164561, epoch loss=0.482097 Batch=239, step=11040, lr=0.154000, batch loss=0.243102, epoch loss=0.725199 Batch=299, step=11100, lr=0.153750, batch loss=0.165687, epoch loss=0.890887 Batch=359, step=11160, lr=0.153750, batch loss=0.224756, epoch loss=1.115643 Batch=419, step=11220, lr=0.153250, batch loss=0.235377, epoch loss=1.351020 Batch=479, step=11280, lr=0.153000, batch loss=0.198639, epoch loss=1.549658 Batch=539, step=11340, lr=0.153000, batch loss=0.159062, epoch loss=1.708720 Batch=599, step=11400, lr=0.152500, batch loss=0.186259, epoch loss=1.894980 Batch=659, step=11460, lr=0.152250, batch loss=0.259806, epoch loss=2.154786 Batch=719, step=11520, lr=0.152000, batch loss=0.257267, epoch loss=2.412054 Batch=779, step=11580, lr=0.151750, batch loss=0.268747, epoch loss=2.680801 Batch=839, step=11640, lr=0.151500, batch loss=0.258155, epoch loss=2.938956 Batch=899, step=11700, lr=0.151500, batch loss=0.239731, epoch loss=3.178686 Batch=959, step=11760, lr=0.151250, batch loss=0.165099, epoch loss=3.343785 Batch=1019, step=11820, lr=0.150750, batch loss=0.267368, epoch loss=3.611153 Batch=1079, step=11880, lr=0.150750, batch loss=0.145477, epoch loss=3.756630 Batch=1139, step=11940, lr=0.150250, batch loss=0.191008, epoch loss=3.947638 Batch=1199, step=12000, lr=0.150250, batch loss=0.139035, epoch loss=4.086673 Epoch=9, step=12000, lr=0.150250, epoch loss=4.086673 Batch=59, step=12060, lr=0.150000, batch loss=0.160743, epoch loss=0.160743 Batch=119, step=12120, lr=0.149500, batch loss=0.137136, epoch loss=0.297879 Batch=179, step=12180, lr=0.149250, batch loss=0.150581, epoch loss=0.448460 Batch=239, step=12240, lr=0.149000, batch loss=0.218664, epoch loss=0.667124 Batch=299, step=12300, lr=0.149000, batch loss=0.142260, epoch loss=0.809384 Batch=359, step=12360, lr=0.148500, batch loss=0.193890, epoch loss=1.003273 Batch=419, step=12420, lr=0.148500, batch loss=0.200374, epoch loss=1.203647 Batch=479, step=12480, lr=0.148000, batch loss=0.177313, epoch loss=1.380960 Batch=539, step=12540, lr=0.148000, batch loss=0.143422, epoch loss=1.524382 Batch=599, step=12600, lr=0.147500, batch loss=0.149116, epoch loss=1.673498 Batch=659, step=12660, lr=0.147250, batch loss=0.226317, epoch loss=1.899815 Batch=719, step=12720, lr=0.147000, batch loss=0.230122, epoch loss=2.129937 Batch=779, step=12780, lr=0.146750, batch loss=0.258468, epoch loss=2.388405 Batch=839, step=12840, lr=0.146500, batch loss=0.236272, epoch loss=2.624677 Batch=899, step=12900, lr=0.146250, batch loss=0.233293, epoch loss=2.857971 Batch=959, step=12960, lr=0.146000, batch loss=0.137952, epoch loss=2.995922 Batch=1019, step=13020, lr=0.145750, batch loss=0.212008, epoch loss=3.207930 Batch=1079, step=13080, lr=0.145500, batch loss=0.116384, epoch loss=3.324314 Batch=1139, step=13140, lr=0.145250, batch loss=0.155850, epoch loss=3.480164 Batch=1199, step=13200, lr=0.145000, batch loss=0.115906, epoch loss=3.596070 Epoch=10, step=13200, lr=0.145000, epoch loss=3.596070 Batch=59, step=13260, lr=0.145000, batch loss=0.137626, epoch loss=0.137626 Batch=119, step=13320, lr=0.144500, batch loss=0.124576, epoch loss=0.262202 Batch=179, step=13380, lr=0.144250, batch loss=0.128405, epoch loss=0.390607 Batch=239, step=13440, lr=0.144250, batch loss=0.190338, epoch loss=0.580945 Batch=299, step=13500, lr=0.143750, batch loss=0.119093, epoch loss=0.700038 Batch=359, step=13560, lr=0.143500, batch loss=0.164175, epoch loss=0.864213 Batch=419, step=13620, lr=0.143250, batch loss=0.166647, epoch loss=1.030860 Batch=479, step=13680, lr=0.143000, batch loss=0.149360, epoch loss=1.180220 Batch=539, step=13740, lr=0.142750, batch loss=0.116041, epoch loss=1.296261 Batch=599, step=13800, lr=0.142500, batch loss=0.119342, epoch loss=1.415603 Batch=659, step=13860, lr=0.142250, batch loss=0.181557, epoch loss=1.597160 Batch=719, step=13920, lr=0.142000, batch loss=0.194886, epoch loss=1.792046 Batch=779, step=13980, lr=0.142000, batch loss=0.223058, epoch loss=2.015104 Batch=839, step=14040, lr=0.141500, batch loss=0.201035, epoch loss=2.216138 Batch=899, step=14100, lr=0.141250, batch loss=0.214054, epoch loss=2.430192 Batch=959, step=14160, lr=0.141000, batch loss=0.102509, epoch loss=2.532701 Batch=1019, step=14220, lr=0.140750, batch loss=0.197845, epoch loss=2.730546 Batch=1079, step=14280, lr=0.140500, batch loss=0.076193, epoch loss=2.806739 Batch=1139, step=14340, lr=0.140500, batch loss=0.114511, epoch loss=2.921250 Batch=1199, step=14400, lr=0.140000, batch loss=0.084028, epoch loss=3.005278 Epoch=11, step=14400, lr=0.140000, epoch loss=3.005278 Batch=59, step=14460, lr=0.139750, batch loss=0.109137, epoch loss=0.109137 Batch=119, step=14520, lr=0.139500, batch loss=0.112446, epoch loss=0.221583 Batch=179, step=14580, lr=0.139250, batch loss=0.102787, epoch loss=0.324371 Batch=239, step=14640, lr=0.139000, batch loss=0.140447, epoch loss=0.464817 Batch=299, step=14700, lr=0.138750, batch loss=0.076408, epoch loss=0.541226 Batch=359, step=14760, lr=0.138750, batch loss=0.118907, epoch loss=0.660133 Batch=419, step=14820, lr=0.138250, batch loss=0.131712, epoch loss=0.791845 Batch=479, step=14880, lr=0.138000, batch loss=0.098396, epoch loss=0.890241 Batch=539, step=14940, lr=0.137750, batch loss=0.097154, epoch loss=0.987395 Batch=599, step=15000, lr=0.137750, batch loss=0.083233, epoch loss=1.070628 Batch=659, step=15060, lr=0.137250, batch loss=0.134693, epoch loss=1.205321 Batch=719, step=15120, lr=0.137000, batch loss=0.170224, epoch loss=1.375546 Batch=779, step=15180, lr=0.136750, batch loss=0.319433, epoch loss=1.694979 Batch=839, step=15240, lr=0.136500, batch loss=0.133997, epoch loss=1.828976 Batch=899, step=15300, lr=0.136500, batch loss=0.113175, epoch loss=1.942151 Batch=959, step=15360, lr=0.136000, batch loss=0.097279, epoch loss=2.039430 Batch=1019, step=15420, lr=0.135750, batch loss=0.167544, epoch loss=2.206974 Batch=1079, step=15480, lr=0.135500, batch loss=0.041162, epoch loss=2.248135 Batch=1139, step=15540, lr=0.135500, batch loss=0.092713, epoch loss=2.340849 Batch=1199, step=15600, lr=0.135250, batch loss=0.058057, epoch loss=2.398906 Epoch=12, step=15600, lr=0.135250, epoch loss=2.398906 Batch=59, step=15660, lr=0.134750, batch loss=0.078106, epoch loss=0.078106 Batch=119, step=15720, lr=0.134500, batch loss=0.120192, epoch loss=0.198297 Batch=179, step=15780, lr=0.134250, batch loss=0.093124, epoch loss=0.291421 Batch=239, step=15840, lr=0.134000, batch loss=0.095263, epoch loss=0.386684 Batch=299, step=15900, lr=0.133750, batch loss=0.038755, epoch loss=0.425438 Batch=359, step=15960, lr=0.133500, batch loss=0.084215, epoch loss=0.509654 Batch=419, step=16020, lr=0.133250, batch loss=0.078154, epoch loss=0.587808 Batch=479, step=16080, lr=0.133000, batch loss=0.054892, epoch loss=0.642700 Batch=539, step=16140, lr=0.132750, batch loss=0.076101, epoch loss=0.718801 Batch=599, step=16200, lr=0.132500, batch loss=0.175898, epoch loss=0.894699 Batch=659, step=16260, lr=0.132250, batch loss=0.099228, epoch loss=0.993927 Batch=719, step=16320, lr=0.132000, batch loss=0.121320, epoch loss=1.115247 Batch=779, step=16380, lr=0.131750, batch loss=0.262827, epoch loss=1.378074 Batch=839, step=16440, lr=0.131750, batch loss=0.089856, epoch loss=1.467930 Batch=899, step=16500, lr=0.131500, batch loss=0.074381, epoch loss=1.542311 Batch=959, step=16560, lr=0.131000, batch loss=0.035213, epoch loss=1.577524 Batch=1019, step=16620, lr=0.130750, batch loss=0.082521, epoch loss=1.660045 Batch=1079, step=16680, lr=0.130500, batch loss=0.036658, epoch loss=1.696703 Batch=1139, step=16740, lr=0.130250, batch loss=0.073236, epoch loss=1.769938 Batch=1199, step=16800, lr=0.130000, batch loss=0.033996, epoch loss=1.803934 Epoch=13, step=16800, lr=0.130000, epoch loss=1.803934 Batch=59, step=16860, lr=0.129750, batch loss=0.035659, epoch loss=0.035659 Batch=119, step=16920, lr=0.129500, batch loss=0.035928, epoch loss=0.071587 Batch=179, step=16980, lr=0.129250, batch loss=0.042653, epoch loss=0.114239 Batch=239, step=17040, lr=0.129000, batch loss=0.055648, epoch loss=0.169887 Batch=299, step=17100, lr=0.128750, batch loss=0.018650, epoch loss=0.188538 Batch=359, step=17160, lr=0.128500, batch loss=0.042331, epoch loss=0.230869 Batch=419, step=17220, lr=0.128250, batch loss=0.049852, epoch loss=0.280721 Batch=479, step=17280, lr=0.128000, batch loss=0.035604, epoch loss=0.316325 Batch=539, step=17340, lr=0.127750, batch loss=0.060511, epoch loss=0.376835 Batch=599, step=17400, lr=0.127500, batch loss=0.035464, epoch loss=0.412300 Batch=659, step=17460, lr=0.127250, batch loss=0.048810, epoch loss=0.461110 Batch=719, step=17520, lr=0.127000, batch loss=0.061315, epoch loss=0.522425 Batch=779, step=17580, lr=0.127000, batch loss=0.066268, epoch loss=0.588694 Batch=839, step=17640, lr=0.126500, batch loss=0.102860, epoch loss=0.691553 Batch=899, step=17700, lr=0.126250, batch loss=0.049565, epoch loss=0.741118 Batch=959, step=17760, lr=0.126250, batch loss=0.016176, epoch loss=0.757294 Batch=1019, step=17820, lr=0.126000, batch loss=0.034866, epoch loss=0.792160 Batch=1079, step=17880, lr=0.125500, batch loss=0.045381, epoch loss=0.837541 Batch=1139, step=17940, lr=0.125250, batch loss=0.072796, epoch loss=0.910337 Batch=1199, step=18000, lr=0.125000, batch loss=0.023034, epoch loss=0.933371 Epoch=14, step=18000, lr=0.125000, epoch loss=0.933371 Batch=59, step=18060, lr=0.124750, batch loss=0.015953, epoch loss=0.015953 Batch=119, step=18120, lr=0.124750, batch loss=0.018786, epoch loss=0.034739 Batch=179, step=18180, lr=0.124250, batch loss=0.029366, epoch loss=0.064105 Batch=239, step=18240, lr=0.124000, batch loss=0.035464, epoch loss=0.099569 Batch=299, step=18300, lr=0.124000, batch loss=0.009534, epoch loss=0.109103 Batch=359, step=18360, lr=0.123750, batch loss=0.024848, epoch loss=0.133950 Batch=419, step=18420, lr=0.123250, batch loss=0.027823, epoch loss=0.161773 Batch=479, step=18480, lr=0.123000, batch loss=0.012415, epoch loss=0.174187 Batch=539, step=18540, lr=0.123000, batch loss=0.020853, epoch loss=0.195040 Batch=599, step=18600, lr=0.122750, batch loss=0.028309, epoch loss=0.223350 Batch=659, step=18660, lr=0.122250, batch loss=0.027938, epoch loss=0.251287 Batch=719, step=18720, lr=0.122250, batch loss=0.037268, epoch loss=0.288555 Batch=779, step=18780, lr=0.121750, batch loss=0.068332, epoch loss=0.356888 Batch=839, step=18840, lr=0.121500, batch loss=0.141194, epoch loss=0.498082 Batch=899, step=18900, lr=0.121250, batch loss=0.037348, epoch loss=0.535429 Batch=959, step=18960, lr=0.121000, batch loss=0.014725, epoch loss=0.550154 Batch=1019, step=19020, lr=0.120750, batch loss=0.024715, epoch loss=0.574869 Batch=1079, step=19080, lr=0.120500, batch loss=0.009717, epoch loss=0.584586 Batch=1139, step=19140, lr=0.120250, batch loss=0.023350, epoch loss=0.607936 Batch=1199, step=19200, lr=0.120000, batch loss=0.010330, epoch loss=0.618266 Epoch=15, step=19200, lr=0.120000, epoch loss=0.618266 Batch=59, step=19260, lr=0.119750, batch loss=0.004625, epoch loss=0.004625 Batch=119, step=19320, lr=0.119500, batch loss=0.010861, epoch loss=0.015486 Batch=179, step=19380, lr=0.119500, batch loss=0.020690, epoch loss=0.036175 Batch=239, step=19440, lr=0.119000, batch loss=0.022858, epoch loss=0.059033 Batch=299, step=19500, lr=0.118750, batch loss=0.021403, epoch loss=0.080436 Batch=359, step=19560, lr=0.118500, batch loss=0.030839, epoch loss=0.111275 Batch=419, step=19620, lr=0.118500, batch loss=0.020158, epoch loss=0.131433 Batch=479, step=19680, lr=0.118000, batch loss=0.006454, epoch loss=0.137887 Batch=539, step=19740, lr=0.118000, batch loss=0.018303, epoch loss=0.156190 Batch=599, step=19800, lr=0.117500, batch loss=0.024687, epoch loss=0.180877 Batch=659, step=19860, lr=0.117500, batch loss=0.018838, epoch loss=0.199715 Batch=719, step=19920, lr=0.117250, batch loss=0.036173, epoch loss=0.235888 Batch=779, step=19980, lr=0.116750, batch loss=0.089548, epoch loss=0.325436 Batch=839, step=20040, lr=0.116500, batch loss=0.031374, epoch loss=0.356809 Batch=899, step=20100, lr=0.116250, batch loss=0.033392, epoch loss=0.390201 Batch=959, step=20160, lr=0.116000, batch loss=0.012318, epoch loss=0.402519 Batch=1019, step=20220, lr=0.115750, batch loss=0.017050, epoch loss=0.419569 Batch=1079, step=20280, lr=0.115500, batch loss=0.001809, epoch loss=0.421378 Batch=1139, step=20340, lr=0.115250, batch loss=0.015090, epoch loss=0.436468 Batch=1199, step=20400, lr=0.115000, batch loss=0.007159, epoch loss=0.443627 Epoch=16, step=20400, lr=0.115000, epoch loss=0.443627 Batch=59, step=20460, lr=0.114750, batch loss=0.003176, epoch loss=0.003176 Batch=119, step=20520, lr=0.114750, batch loss=0.009077, epoch loss=0.012253 Batch=179, step=20580, lr=0.114500, batch loss=0.020614, epoch loss=0.032867 Batch=239, step=20640, lr=0.114250, batch loss=0.020327, epoch loss=0.053195 Batch=299, step=20700, lr=0.113750, batch loss=0.010640, epoch loss=0.063835 Batch=359, step=20760, lr=0.113500, batch loss=0.014783, epoch loss=0.078618 Batch=419, step=20820, lr=0.113250, batch loss=0.015140, epoch loss=0.093759 Batch=479, step=20880, lr=0.113250, batch loss=0.003962, epoch loss=0.097720 Batch=539, step=20940, lr=0.112750, batch loss=0.015903, epoch loss=0.113623 Batch=599, step=21000, lr=0.112500, batch loss=0.017922, epoch loss=0.131545 Batch=659, step=21060, lr=0.112250, batch loss=0.013311, epoch loss=0.144856 Batch=719, step=21120, lr=0.112000, batch loss=0.032457, epoch loss=0.177313 Batch=779, step=21180, lr=0.111750, batch loss=0.057768, epoch loss=0.235082 Batch=839, step=21240, lr=0.111500, batch loss=0.025286, epoch loss=0.260368 Batch=899, step=21300, lr=0.111250, batch loss=0.023690, epoch loss=0.284057 Batch=959, step=21360, lr=0.111000, batch loss=0.012355, epoch loss=0.296413 Batch=1019, step=21420, lr=0.110750, batch loss=0.017938, epoch loss=0.314351 Batch=1079, step=21480, lr=0.110500, batch loss=0.002737, epoch loss=0.317088 Batch=1139, step=21540, lr=0.110250, batch loss=0.012570, epoch loss=0.329658 Batch=1199, step=21600, lr=0.110000, batch loss=0.005218, epoch loss=0.334876 Epoch=17, step=21600, lr=0.110000, epoch loss=0.334876 Batch=59, step=21660, lr=0.109750, batch loss=0.001901, epoch loss=0.001901 Batch=119, step=21720, lr=0.109750, batch loss=0.006619, epoch loss=0.008520 Batch=179, step=21780, lr=0.109500, batch loss=0.013328, epoch loss=0.021848 Batch=239, step=21840, lr=0.109000, batch loss=0.010829, epoch loss=0.032677 Batch=299, step=21900, lr=0.109000, batch loss=0.013501, epoch loss=0.046178 Batch=359, step=21960, lr=0.108500, batch loss=0.012561, epoch loss=0.058739 Batch=419, step=22020, lr=0.108500, batch loss=0.012651, epoch loss=0.071390 Batch=479, step=22080, lr=0.108250, batch loss=0.002871, epoch loss=0.074261 Batch=539, step=22140, lr=0.107750, batch loss=0.016912, epoch loss=0.091172 Batch=599, step=22200, lr=0.107500, batch loss=0.016682, epoch loss=0.107855 Batch=659, step=22260, lr=0.107250, batch loss=0.016349, epoch loss=0.124204 Batch=719, step=22320, lr=0.107000, batch loss=0.022787, epoch loss=0.146991 Batch=779, step=22380, lr=0.106750, batch loss=0.039746, epoch loss=0.186737 Batch=839, step=22440, lr=0.106500, batch loss=0.021233, epoch loss=0.207970 Batch=899, step=22500, lr=0.106250, batch loss=0.030458, epoch loss=0.238428 Batch=959, step=22560, lr=0.106000, batch loss=0.009015, epoch loss=0.247443 Batch=1019, step=22620, lr=0.105750, batch loss=0.010149, epoch loss=0.257592 Batch=1079, step=22680, lr=0.105500, batch loss=0.000488, epoch loss=0.258080 Batch=1139, step=22740, lr=0.105250, batch loss=0.010523, epoch loss=0.268603 Batch=1199, step=22800, lr=0.105000, batch loss=0.004597, epoch loss=0.273200 Epoch=18, step=22800, lr=0.105000, epoch loss=0.273200 Batch=59, step=22860, lr=0.105000, batch loss=0.001325, epoch loss=0.001325 Batch=119, step=22920, lr=0.104500, batch loss=0.005260, epoch loss=0.006584 Batch=179, step=22980, lr=0.104250, batch loss=0.010050, epoch loss=0.016634 Batch=239, step=23040, lr=0.104000, batch loss=0.009899, epoch loss=0.026533 Batch=299, step=23100, lr=0.103750, batch loss=0.010267, epoch loss=0.036800 Batch=359, step=23160, lr=0.103500, batch loss=0.011717, epoch loss=0.048517 Batch=419, step=23220, lr=0.103500, batch loss=0.010993, epoch loss=0.059510 Batch=479, step=23280, lr=0.103000, batch loss=0.002336, epoch loss=0.061846 Batch=539, step=23340, lr=0.102750, batch loss=0.017515, epoch loss=0.079362 Batch=599, step=23400, lr=0.102500, batch loss=0.013415, epoch loss=0.092777 Batch=659, step=23460, lr=0.102250, batch loss=0.011360, epoch loss=0.104137 Batch=719, step=23520, lr=0.102250, batch loss=0.011695, epoch loss=0.115832 Batch=779, step=23580, lr=0.102000, batch loss=0.019003, epoch loss=0.134835 Batch=839, step=23640, lr=0.101750, batch loss=0.027704, epoch loss=0.162539 Batch=899, step=23700, lr=0.101250, batch loss=0.021548, epoch loss=0.184087 Batch=959, step=23760, lr=0.101250, batch loss=0.011238, epoch loss=0.195325 Batch=1019, step=23820, lr=0.100750, batch loss=0.011676, epoch loss=0.207001 Batch=1079, step=23880, lr=0.100500, batch loss=0.000527, epoch loss=0.207529 Batch=1139, step=23940, lr=0.100250, batch loss=0.009100, epoch loss=0.216629 Batch=1199, step=24000, lr=0.100000, batch loss=0.004674, epoch loss=0.221303 Epoch=19, step=24000, lr=0.100000, epoch loss=0.221303 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************...******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │**********........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:54.26 ---> saved as "4f8300ae289655de36ba365efea486dfdd23a26e429a199b3095312faa11f6a6" Job succeeded 2025-03-20 22:54.27: Job succeeded