2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 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.0.15.0 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 22:29.24: 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 22:29.24: 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.0.15.0 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 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.25: Waiting for worker… 2025-03-20 22:31.42: Got resource from pool OCluster Building on toxis.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 22:32.04 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (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 22:32.04 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /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 22:33.21 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /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 22:33.21 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:33.21 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /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 22:34.21 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:34.21 ---> 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 22:34.25 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:34.25 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /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 22:34.46 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" /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 22:36.17 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" /src: (copy (src .) (dst /src)) 2025-03-20 22:36.17 ---> saved as "83c96ea3f59bc999cd44b8084d3cd497864b747bdf4a9038e511179878f3cbc7" /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/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1af8fb1e828d829a8a4bedc9bfd9e8f4/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f1c93ef345cec5abde0b5aac713469a/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/1f1c93ef345cec5abde0b5aac713469a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.199000, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.330969, epoch loss=38.402774 Batch=419, step=420, lr=0.198500, batch loss=0.617836, epoch loss=39.020610 Batch=479, step=480, lr=0.198250, batch loss=0.823501, epoch loss=39.844111 Batch=539, step=540, lr=0.198000, batch loss=0.688277, epoch loss=40.532388 Batch=599, step=600, lr=0.197750, batch loss=1.066031, epoch loss=41.598418 Batch=659, step=660, lr=0.197500, batch loss=0.483025, epoch loss=42.081444 Batch=719, step=720, lr=0.197250, batch loss=0.411271, epoch loss=42.492715 Batch=779, step=780, lr=0.197000, batch loss=0.468765, epoch loss=42.961480 Batch=839, step=840, lr=0.196750, batch loss=0.443188, epoch loss=43.404668 Batch=899, step=900, lr=0.196500, batch loss=0.383587, epoch loss=43.788255 Batch=959, step=960, lr=0.196250, batch loss=0.237070, epoch loss=44.025325 Batch=1019, step=1020, lr=0.196000, batch loss=0.440501, epoch loss=44.465827 Batch=1079, step=1080, lr=0.195750, batch loss=0.229024, epoch loss=44.694851 Batch=1139, step=1140, lr=0.195500, batch loss=0.315348, epoch loss=45.010199 Batch=1199, step=1200, lr=0.195250, batch loss=0.263048, epoch loss=45.273247 Epoch=0, step=1200, lr=0.195250, epoch loss=45.273247 Batch=59, step=1260, lr=0.195000, batch loss=0.262227, epoch loss=0.262227 Batch=119, step=1320, lr=0.194750, batch loss=0.205533, epoch loss=0.467760 Batch=179, step=1380, lr=0.194500, batch loss=0.243004, epoch loss=0.710764 Batch=239, step=1440, lr=0.194250, batch loss=0.345567, epoch loss=1.056331 Batch=299, step=1500, lr=0.194000, batch loss=0.240367, epoch loss=1.296698 Batch=359, step=1560, lr=0.193750, batch loss=0.312209, epoch loss=1.608908 Batch=419, step=1620, lr=0.193500, batch loss=0.309427, epoch loss=1.918334 Batch=479, step=1680, lr=0.193250, batch loss=0.275917, epoch loss=2.194251 Batch=539, step=1740, lr=0.193000, batch loss=0.212106, epoch loss=2.406357 Batch=599, step=1800, lr=0.192750, batch loss=0.250514, epoch loss=2.656872 Batch=659, step=1860, lr=0.192500, batch loss=0.369565, epoch loss=3.026436 Batch=719, step=1920, lr=0.192250, batch loss=0.362177, epoch loss=3.388614 Batch=779, step=1980, lr=0.192000, batch loss=0.380988, epoch loss=3.769602 Batch=839, step=2040, lr=0.191750, batch loss=0.343261, epoch loss=4.112862 Batch=899, step=2100, lr=0.191500, batch loss=0.319707, epoch loss=4.432570 Batch=959, step=2160, lr=0.191250, batch loss=0.262375, epoch loss=4.694945 Batch=1019, step=2220, lr=0.191000, batch loss=0.424149, epoch loss=5.119093 Batch=1079, step=2280, lr=0.190750, batch loss=0.256719, epoch loss=5.375812 Batch=1139, step=2340, lr=0.190500, batch loss=0.307177, epoch loss=5.682990 Batch=1199, step=2400, lr=0.190250, batch loss=0.217412, epoch loss=5.900401 Epoch=1, step=2400, lr=0.190250, epoch loss=5.900401 Batch=59, step=2460, lr=0.190000, batch loss=0.231537, epoch loss=0.231537 Batch=119, step=2520, lr=0.189750, batch loss=0.186300, epoch loss=0.417837 Batch=179, step=2580, lr=0.189500, batch loss=0.223293, epoch loss=0.641130 Batch=239, step=2640, lr=0.189250, batch loss=0.339132, epoch loss=0.980261 Batch=299, step=2700, lr=0.189000, batch loss=0.210040, epoch loss=1.190301 Batch=359, step=2760, lr=0.188750, batch loss=0.295731, epoch loss=1.486032 Batch=419, step=2820, lr=0.188500, batch loss=0.281546, epoch loss=1.767578 Batch=479, step=2880, lr=0.188250, batch loss=0.253957, epoch loss=2.021534 Batch=539, step=2940, lr=0.188000, batch loss=0.194429, epoch loss=2.215964 Batch=599, step=3000, lr=0.187750, batch loss=0.232872, epoch loss=2.448836 Batch=659, step=3060, lr=0.187500, batch loss=0.342336, epoch loss=2.791172 Batch=719, step=3120, lr=0.187250, batch loss=0.341960, epoch loss=3.133131 Batch=779, step=3180, lr=0.187000, batch loss=0.364801, epoch loss=3.497933 Batch=839, step=3240, lr=0.186750, batch loss=0.322524, epoch loss=3.820457 Batch=899, step=3300, lr=0.186500, batch loss=0.286764, epoch loss=4.107221 Batch=959, step=3360, lr=0.186250, batch loss=0.210303, epoch loss=4.317524 Batch=1019, step=3420, lr=0.186000, batch loss=0.304879, epoch loss=4.622403 Batch=1079, step=3480, lr=0.185750, batch loss=0.171436, epoch loss=4.793839 Batch=1139, step=3540, lr=0.185500, batch loss=0.229217, epoch loss=5.023057 Batch=1199, step=3600, lr=0.185250, batch loss=0.200349, epoch loss=5.223406 Epoch=2, step=3600, lr=0.185250, epoch loss=5.223406 Batch=59, step=3660, lr=0.185000, batch loss=0.241113, epoch loss=0.241113 Batch=119, step=3720, lr=0.184750, batch loss=0.207772, epoch loss=0.448885 Batch=179, step=3780, lr=0.184500, batch loss=0.210749, epoch loss=0.659633 Batch=239, step=3840, lr=0.184250, batch loss=0.316583, epoch loss=0.976216 Batch=299, step=3900, lr=0.184000, batch loss=0.204231, epoch loss=1.180447 Batch=359, step=3960, lr=0.183750, batch loss=0.281764, epoch loss=1.462210 Batch=419, step=4020, lr=0.183500, batch loss=0.271252, epoch loss=1.733462 Batch=479, step=4080, lr=0.183250, batch loss=0.248798, epoch loss=1.982260 Batch=539, step=4140, lr=0.183000, batch loss=0.194294, epoch loss=2.176554 Batch=599, step=4200, lr=0.182750, batch loss=0.235983, epoch loss=2.412537 Batch=659, step=4260, lr=0.182500, batch loss=0.331823, epoch loss=2.744359 Batch=719, step=4320, lr=0.182250, batch loss=0.345055, epoch loss=3.089414 Batch=779, step=4380, lr=0.182000, batch loss=0.348196, epoch loss=3.437610 Batch=839, step=4440, lr=0.181750, batch loss=0.318284, epoch loss=3.755894 Batch=899, step=4500, lr=0.181500, batch loss=0.291213, epoch loss=4.047107 Batch=959, step=4560, lr=0.181250, batch loss=0.243983, epoch loss=4.291090 Batch=1019, step=4620, lr=0.181000, batch loss=0.340101, epoch loss=4.631191 Batch=1079, step=4680, lr=0.180750, batch loss=0.201005, epoch loss=4.832196 Batch=1139, step=4740, lr=0.180500, batch loss=0.237814, epoch loss=5.070010 Batch=1199, step=4800, lr=0.180250, batch loss=0.191877, epoch loss=5.261887 Epoch=3, step=4800, lr=0.180250, epoch loss=5.261887 Batch=59, step=4860, lr=0.180000, batch loss=0.223581, epoch loss=0.223581 Batch=119, step=4920, lr=0.179750, batch loss=0.187028, epoch loss=0.410608 Batch=179, step=4980, lr=0.179500, batch loss=0.205160, epoch loss=0.615768 Batch=239, step=5040, lr=0.179250, batch loss=0.307590, epoch loss=0.923358 Batch=299, step=5100, lr=0.179000, batch loss=0.207385, epoch loss=1.130742 Batch=359, step=5160, lr=0.178750, batch loss=0.274927, epoch loss=1.405669 Batch=419, step=5220, lr=0.178500, batch loss=0.275058, epoch loss=1.680727 Batch=479, step=5280, lr=0.178250, batch loss=0.246255, epoch loss=1.926982 Batch=539, step=5340, lr=0.178000, batch loss=0.193516, epoch loss=2.120498 Batch=599, step=5400, lr=0.177750, batch loss=0.237633, epoch loss=2.358131 Batch=659, step=5460, lr=0.177500, batch loss=0.319856, epoch loss=2.677986 Batch=719, step=5520, lr=0.177250, batch loss=0.324466, epoch loss=3.002452 Batch=779, step=5580, lr=0.177000, batch loss=0.339353, epoch loss=3.341805 Batch=839, step=5640, lr=0.176750, batch loss=0.312331, epoch loss=3.654136 Batch=899, step=5700, lr=0.176500, batch loss=0.274625, epoch loss=3.928761 Batch=959, step=5760, lr=0.176250, batch loss=0.211889, epoch loss=4.140649 Batch=1019, step=5820, lr=0.176000, batch loss=0.339649, epoch loss=4.480299 Batch=1079, step=5880, lr=0.175750, batch loss=0.208470, epoch loss=4.688769 Batch=1139, step=5940, lr=0.175500, batch loss=0.238529, epoch loss=4.927298 Batch=1199, step=6000, lr=0.175250, batch loss=0.187426, epoch loss=5.114724 Epoch=4, step=6000, lr=0.175250, epoch loss=5.114724 Batch=59, step=6060, lr=0.175000, batch loss=0.231502, epoch loss=0.231502 Batch=119, step=6120, lr=0.174750, batch loss=0.191958, epoch loss=0.423461 Batch=179, step=6180, lr=0.174500, batch loss=0.200700, epoch loss=0.624161 Batch=239, step=6240, lr=0.174250, batch loss=0.301685, epoch loss=0.925846 Batch=299, step=6300, lr=0.174000, batch loss=0.211398, epoch loss=1.137244 Batch=359, step=6360, lr=0.173750, batch loss=0.273072, epoch loss=1.410316 Batch=419, step=6420, lr=0.173500, batch loss=0.268688, epoch loss=1.679004 Batch=479, step=6480, lr=0.173250, batch loss=0.240088, epoch loss=1.919092 Batch=539, step=6540, lr=0.173000, batch loss=0.190623, epoch loss=2.109715 Batch=599, step=6600, lr=0.172750, batch loss=0.223150, epoch loss=2.332865 Batch=659, step=6660, lr=0.172500, batch loss=0.315595, epoch loss=2.648460 Batch=719, step=6720, lr=0.172250, batch loss=0.314840, epoch loss=2.963300 Batch=779, step=6780, lr=0.172000, batch loss=0.333451, epoch loss=3.296751 Batch=839, step=6840, lr=0.171750, batch loss=0.302992, epoch loss=3.599743 Batch=899, step=6900, lr=0.171500, batch loss=0.268164, epoch loss=3.867906 Batch=959, step=6960, lr=0.171250, batch loss=0.210082, epoch loss=4.077988 Batch=1019, step=7020, lr=0.171000, batch loss=0.329419, epoch loss=4.407407 Batch=1079, step=7080, lr=0.170750, batch loss=0.180357, epoch loss=4.587764 Batch=1139, step=7140, lr=0.170500, batch loss=0.216799, epoch loss=4.804563 Batch=1199, step=7200, lr=0.170250, batch loss=0.181426, epoch loss=4.985989 Epoch=5, step=7200, lr=0.170250, epoch loss=4.985989 Batch=59, step=7260, lr=0.170000, batch loss=0.231993, epoch loss=0.231993 Batch=119, step=7320, lr=0.169750, batch loss=0.183867, epoch loss=0.415860 Batch=179, step=7380, lr=0.169500, batch loss=0.196489, epoch loss=0.612349 Batch=239, step=7440, lr=0.169250, batch loss=0.293606, epoch loss=0.905955 Batch=299, step=7500, lr=0.169000, batch loss=0.205218, epoch loss=1.111173 Batch=359, step=7560, lr=0.168750, batch loss=0.262796, epoch loss=1.373969 Batch=419, step=7620, lr=0.168500, batch loss=0.254814, epoch loss=1.628783 Batch=479, step=7680, lr=0.168250, batch loss=0.237117, epoch loss=1.865900 Batch=539, step=7740, lr=0.168000, batch loss=0.185518, epoch loss=2.051419 Batch=599, step=7800, lr=0.167750, batch loss=0.226148, epoch loss=2.277567 Batch=659, step=7860, lr=0.167500, batch loss=0.304582, epoch loss=2.582149 Batch=719, step=7920, lr=0.167250, batch loss=0.309037, epoch loss=2.891186 Batch=779, step=7980, lr=0.167000, batch loss=0.325114, epoch loss=3.216300 Batch=839, step=8040, lr=0.166750, batch loss=0.294626, epoch loss=3.510926 Batch=899, step=8100, lr=0.166500, batch loss=0.261217, epoch loss=3.772143 Batch=959, step=8160, lr=0.166250, batch loss=0.203666, epoch loss=3.975810 Batch=1019, step=8220, lr=0.166000, batch loss=0.324810, epoch loss=4.300620 Batch=1079, step=8280, lr=0.165750, batch loss=0.197784, epoch loss=4.498404 Batch=1139, step=8340, lr=0.165500, batch loss=0.224820, epoch loss=4.723225 Batch=1199, step=8400, lr=0.165250, batch loss=0.175306, epoch loss=4.898530 Epoch=6, step=8400, lr=0.165250, epoch loss=4.898530 Batch=59, step=8460, lr=0.165000, batch loss=0.214442, epoch loss=0.214442 Batch=119, step=8520, lr=0.164750, batch loss=0.176846, epoch loss=0.391288 Batch=179, step=8580, lr=0.164500, batch loss=0.188984, epoch loss=0.580272 Batch=239, step=8640, lr=0.164250, batch loss=0.279707, epoch loss=0.859979 Batch=299, step=8700, lr=0.164000, batch loss=0.190095, epoch loss=1.050074 Batch=359, step=8760, lr=0.163750, batch loss=0.246552, epoch loss=1.296626 Batch=419, step=8820, lr=0.163500, batch loss=0.244269, epoch loss=1.540895 Batch=479, step=8880, lr=0.163250, batch loss=0.229109, epoch loss=1.770004 Batch=539, step=8940, lr=0.163000, batch loss=0.176791, epoch loss=1.946795 Batch=599, step=9000, lr=0.162750, batch loss=0.218493, epoch loss=2.165289 Batch=659, step=9060, lr=0.162500, batch loss=0.294109, epoch loss=2.459398 Batch=719, step=9120, lr=0.162250, batch loss=0.298579, epoch loss=2.757977 Batch=779, step=9180, lr=0.162000, batch loss=0.314666, epoch loss=3.072643 Batch=839, step=9240, lr=0.161750, batch loss=0.282947, epoch loss=3.355590 Batch=899, step=9300, lr=0.161500, batch loss=0.253374, epoch loss=3.608964 Batch=959, step=9360, lr=0.161250, batch loss=0.188419, epoch loss=3.797384 Batch=1019, step=9420, lr=0.161000, batch loss=0.317189, epoch loss=4.114572 Batch=1079, step=9480, lr=0.160750, batch loss=0.183157, epoch loss=4.297729 Batch=1139, step=9540, lr=0.160500, batch loss=0.207344, epoch loss=4.505073 Batch=1199, step=9600, lr=0.160250, batch loss=0.166990, epoch loss=4.672063 Epoch=7, step=9600, lr=0.160250, epoch loss=4.672063 Batch=59, step=9660, lr=0.160000, batch loss=0.201800, epoch loss=0.201800 Batch=119, step=9720, lr=0.159750, batch loss=0.162329, epoch loss=0.364129 Batch=179, step=9780, lr=0.159500, batch loss=0.179777, epoch loss=0.543906 Batch=239, step=9840, lr=0.159250, batch loss=0.262060, epoch loss=0.805965 Batch=299, step=9900, lr=0.159000, batch loss=0.186345, epoch loss=0.992310 Batch=359, step=9960, lr=0.158750, batch loss=0.242251, epoch loss=1.234561 Batch=419, step=10020, lr=0.158500, batch loss=0.231279, epoch loss=1.465840 Batch=479, step=10080, lr=0.158250, batch loss=0.213215, epoch loss=1.679055 Batch=539, step=10140, lr=0.158000, batch loss=0.171212, epoch loss=1.850267 Batch=599, step=10200, lr=0.157750, batch loss=0.201118, epoch loss=2.051385 Batch=659, step=10260, lr=0.157500, batch loss=0.281886, epoch loss=2.333272 Batch=719, step=10320, lr=0.157250, batch loss=0.283363, epoch loss=2.616634 Batch=779, step=10380, lr=0.157000, batch loss=0.300019, epoch loss=2.916653 Batch=839, step=10440, lr=0.156750, batch loss=0.273090, epoch loss=3.189743 Batch=899, step=10500, lr=0.156500, batch loss=0.240197, epoch loss=3.429940 Batch=959, step=10560, lr=0.156250, batch loss=0.199983, epoch loss=3.629923 Batch=1019, step=10620, lr=0.156000, batch loss=0.276874, epoch loss=3.906798 Batch=1079, step=10680, lr=0.155750, batch loss=0.151736, epoch loss=4.058534 Batch=1139, step=10740, lr=0.155500, batch loss=0.181673, epoch loss=4.240207 Batch=1199, step=10800, lr=0.155250, batch loss=0.163852, epoch loss=4.404059 Epoch=8, step=10800, lr=0.155250, epoch loss=4.404059 Batch=59, step=10860, lr=0.155000, batch loss=0.194428, epoch loss=0.194428 Batch=119, step=10920, lr=0.154750, batch loss=0.161744, epoch loss=0.356172 Batch=179, step=10980, lr=0.154500, batch loss=0.166994, epoch loss=0.523166 Batch=239, step=11040, lr=0.154250, batch loss=0.244426, epoch loss=0.767592 Batch=299, step=11100, lr=0.154000, batch loss=0.168180, epoch loss=0.935772 Batch=359, step=11160, lr=0.153750, batch loss=0.222470, epoch loss=1.158242 Batch=419, step=11220, lr=0.153500, batch loss=0.226465, epoch loss=1.384707 Batch=479, step=11280, lr=0.153250, batch loss=0.206333, epoch loss=1.591040 Batch=539, step=11340, lr=0.153000, batch loss=0.158141, epoch loss=1.749181 Batch=599, step=11400, lr=0.152750, batch loss=0.183495, epoch loss=1.932675 Batch=659, step=11460, lr=0.152500, batch loss=0.263543, epoch loss=2.196218 Batch=719, step=11520, lr=0.152250, batch loss=0.256388, epoch loss=2.452607 Batch=779, step=11580, lr=0.152000, batch loss=0.272673, epoch loss=2.725279 Batch=839, step=11640, lr=0.151750, batch loss=0.256662, epoch loss=2.981942 Batch=899, step=11700, lr=0.151500, batch loss=0.218731, epoch loss=3.200673 Batch=959, step=11760, lr=0.151250, batch loss=0.161885, epoch loss=3.362559 Batch=1019, step=11820, lr=0.151000, batch loss=0.261350, epoch loss=3.623909 Batch=1079, step=11880, lr=0.150750, batch loss=0.157566, epoch loss=3.781475 Batch=1139, step=11940, lr=0.150500, batch loss=0.190997, epoch loss=3.972472 Batch=1199, step=12000, lr=0.150250, batch loss=0.140455, epoch loss=4.112927 Epoch=9, step=12000, lr=0.150250, epoch loss=4.112927 Batch=59, step=12060, lr=0.150000, batch loss=0.163096, epoch loss=0.163096 Batch=119, step=12120, lr=0.149750, batch loss=0.137507, epoch loss=0.300604 Batch=179, step=12180, lr=0.149500, batch loss=0.151874, epoch loss=0.452477 Batch=239, step=12240, lr=0.149250, batch loss=0.220353, epoch loss=0.672831 Batch=299, step=12300, lr=0.149000, batch loss=0.145373, epoch loss=0.818204 Batch=359, step=12360, lr=0.148750, batch loss=0.198943, epoch loss=1.017146 Batch=419, step=12420, lr=0.148500, batch loss=0.207860, epoch loss=1.225006 Batch=479, step=12480, lr=0.148250, batch loss=0.180953, epoch loss=1.405959 Batch=539, step=12540, lr=0.148000, batch loss=0.144312, epoch loss=1.550271 Batch=599, step=12600, lr=0.147750, batch loss=0.151669, epoch loss=1.701940 Batch=659, step=12660, lr=0.147500, batch loss=0.227915, epoch loss=1.929855 Batch=719, step=12720, lr=0.147250, batch loss=0.236281, epoch loss=2.166137 Batch=779, step=12780, lr=0.147000, batch loss=0.257839, epoch loss=2.423976 Batch=839, step=12840, lr=0.146750, batch loss=0.225113, epoch loss=2.649089 Batch=899, step=12900, lr=0.146500, batch loss=0.189746, epoch loss=2.838835 Batch=959, step=12960, lr=0.146250, batch loss=0.160761, epoch loss=2.999596 Batch=1019, step=13020, lr=0.146000, batch loss=0.255790, epoch loss=3.255386 Batch=1079, step=13080, lr=0.145750, batch loss=0.123144, epoch loss=3.378530 Batch=1139, step=13140, lr=0.145500, batch loss=0.158395, epoch loss=3.536925 Batch=1199, step=13200, lr=0.145250, batch loss=0.120432, epoch loss=3.657357 Epoch=10, step=13200, lr=0.145250, epoch loss=3.657357 Batch=59, step=13260, lr=0.145000, batch loss=0.146805, epoch loss=0.146805 Batch=119, step=13320, lr=0.144750, batch loss=0.119702, epoch loss=0.266508 Batch=179, step=13380, lr=0.144500, batch loss=0.129819, epoch loss=0.396326 Batch=239, step=13440, lr=0.144250, batch loss=0.186316, epoch loss=0.582642 Batch=299, step=13500, lr=0.144000, batch loss=0.123382, epoch loss=0.706024 Batch=359, step=13560, lr=0.143750, batch loss=0.165676, epoch loss=0.871701 Batch=419, step=13620, lr=0.143500, batch loss=0.164034, epoch loss=1.035734 Batch=479, step=13680, lr=0.143250, batch loss=0.147175, epoch loss=1.182910 Batch=539, step=13740, lr=0.143000, batch loss=0.121114, epoch loss=1.304024 Batch=599, step=13800, lr=0.142750, batch loss=0.122827, epoch loss=1.426851 Batch=659, step=13860, lr=0.142500, batch loss=0.179742, epoch loss=1.606592 Batch=719, step=13920, lr=0.142250, batch loss=0.180921, epoch loss=1.787514 Batch=779, step=13980, lr=0.142000, batch loss=0.200547, epoch loss=1.988061 Batch=839, step=14040, lr=0.141750, batch loss=0.187486, epoch loss=2.175547 Batch=899, step=14100, lr=0.141500, batch loss=0.158762, epoch loss=2.334309 Batch=959, step=14160, lr=0.141250, batch loss=0.141686, epoch loss=2.475996 Batch=1019, step=14220, lr=0.141000, batch loss=0.277604, epoch loss=2.753600 Batch=1079, step=14280, lr=0.140750, batch loss=0.082651, epoch loss=2.836251 Batch=1139, step=14340, lr=0.140500, batch loss=0.129107, epoch loss=2.965358 Batch=1199, step=14400, lr=0.140250, batch loss=0.093359, epoch loss=3.058717 Epoch=11, step=14400, lr=0.140250, epoch loss=3.058717 Batch=59, step=14460, lr=0.140000, batch loss=0.113834, epoch loss=0.113834 Batch=119, step=14520, lr=0.139750, batch loss=0.111069, epoch loss=0.224903 Batch=179, step=14580, lr=0.139500, batch loss=0.106969, epoch loss=0.331872 Batch=239, step=14640, lr=0.139250, batch loss=0.143445, epoch loss=0.475316 Batch=299, step=14700, lr=0.139000, batch loss=0.083525, epoch loss=0.558841 Batch=359, step=14760, lr=0.138750, batch loss=0.119589, epoch loss=0.678431 Batch=419, step=14820, lr=0.138500, batch loss=0.127023, epoch loss=0.805453 Batch=479, step=14880, lr=0.138250, batch loss=0.109041, epoch loss=0.914494 Batch=539, step=14940, lr=0.138000, batch loss=0.104182, epoch loss=1.018676 Batch=599, step=15000, lr=0.137750, batch loss=0.087543, epoch loss=1.106219 Batch=659, step=15060, lr=0.137500, batch loss=0.130307, epoch loss=1.236526 Batch=719, step=15120, lr=0.137250, batch loss=0.131090, epoch loss=1.367616 Batch=779, step=15180, lr=0.137000, batch loss=0.146041, epoch loss=1.513657 Batch=839, step=15240, lr=0.136750, batch loss=0.162551, epoch loss=1.676209 Batch=899, step=15300, lr=0.136500, batch loss=0.280147, epoch loss=1.956355 Batch=959, step=15360, lr=0.136250, batch loss=0.063384, epoch loss=2.019739 Batch=1019, step=15420, lr=0.136000, batch loss=0.147138, epoch loss=2.166877 Batch=1079, step=15480, lr=0.135750, batch loss=0.044305, epoch loss=2.211182 Batch=1139, step=15540, lr=0.135500, batch loss=0.102739, epoch loss=2.313921 Batch=1199, step=15600, lr=0.135250, batch loss=0.061841, epoch loss=2.375762 Epoch=12, step=15600, lr=0.135250, epoch loss=2.375762 Batch=59, step=15660, lr=0.135000, batch loss=0.086860, epoch loss=0.086860 Batch=119, step=15720, lr=0.134750, batch loss=0.135908, epoch loss=0.222768 Batch=179, step=15780, lr=0.134500, batch loss=0.099776, epoch loss=0.322544 Batch=239, step=15840, lr=0.134250, batch loss=0.100219, epoch loss=0.422763 Batch=299, step=15900, lr=0.134000, batch loss=0.047798, epoch loss=0.470561 Batch=359, step=15960, lr=0.133750, batch loss=0.088759, epoch loss=0.559320 Batch=419, step=16020, lr=0.133500, batch loss=0.078998, epoch loss=0.638318 Batch=479, step=16080, lr=0.133250, batch loss=0.058556, epoch loss=0.696875 Batch=539, step=16140, lr=0.133000, batch loss=0.068500, epoch loss=0.765375 Batch=599, step=16200, lr=0.132750, batch loss=0.146454, epoch loss=0.911829 Batch=659, step=16260, lr=0.132500, batch loss=0.088686, epoch loss=1.000515 Batch=719, step=16320, lr=0.132250, batch loss=0.142101, epoch loss=1.142615 Batch=779, step=16380, lr=0.132000, batch loss=0.312476, epoch loss=1.455092 Batch=839, step=16440, lr=0.131750, batch loss=0.100967, epoch loss=1.556059 Batch=899, step=16500, lr=0.131500, batch loss=0.091254, epoch loss=1.647314 Batch=959, step=16560, lr=0.131250, batch loss=0.035576, epoch loss=1.682890 Batch=1019, step=16620, lr=0.131000, batch loss=0.059339, epoch loss=1.742229 Batch=1079, step=16680, lr=0.130750, batch loss=0.056605, epoch loss=1.798834 Batch=1139, step=16740, lr=0.130500, batch loss=0.105375, epoch loss=1.904209 Batch=1199, step=16800, lr=0.130250, batch loss=0.051882, epoch loss=1.956091 Epoch=13, step=16800, lr=0.130250, epoch loss=1.956091 Batch=59, step=16860, lr=0.130000, batch loss=0.036678, epoch loss=0.036678 Batch=119, step=16920, lr=0.129750, batch loss=0.035834, epoch loss=0.072511 Batch=179, step=16980, lr=0.129500, batch loss=0.045320, epoch loss=0.117831 Batch=239, step=17040, lr=0.129250, batch loss=0.067150, epoch loss=0.184981 Batch=299, step=17100, lr=0.129000, batch loss=0.059158, epoch loss=0.244139 Batch=359, step=17160, lr=0.128750, batch loss=0.050427, epoch loss=0.294566 Batch=419, step=17220, lr=0.128500, batch loss=0.054437, epoch loss=0.349004 Batch=479, step=17280, lr=0.128250, batch loss=0.027968, epoch loss=0.376972 Batch=539, step=17340, lr=0.128000, batch loss=0.047194, epoch loss=0.424166 Batch=599, step=17400, lr=0.127750, batch loss=0.037205, epoch loss=0.461371 Batch=659, step=17460, lr=0.127500, batch loss=0.051318, epoch loss=0.512688 Batch=719, step=17520, lr=0.127250, batch loss=0.042441, epoch loss=0.555130 Batch=779, step=17580, lr=0.127000, batch loss=0.051828, epoch loss=0.606958 Batch=839, step=17640, lr=0.126750, batch loss=0.095952, epoch loss=0.702910 Batch=899, step=17700, lr=0.126500, batch loss=0.120795, epoch loss=0.823705 Batch=959, step=17760, lr=0.126250, batch loss=0.036794, epoch loss=0.860499 Batch=1019, step=17820, lr=0.126000, batch loss=0.072414, epoch loss=0.932913 Batch=1079, step=17880, lr=0.125750, batch loss=0.015854, epoch loss=0.948767 Batch=1139, step=17940, lr=0.125500, batch loss=0.030093, epoch loss=0.978859 Batch=1199, step=18000, lr=0.125250, batch loss=0.015691, epoch loss=0.994550 Epoch=14, step=18000, lr=0.125250, epoch loss=0.994550 Batch=59, step=18060, lr=0.125000, batch loss=0.012956, epoch loss=0.012956 Batch=119, step=18120, lr=0.124750, batch loss=0.019086, epoch loss=0.032042 Batch=179, step=18180, lr=0.124500, batch loss=0.030246, epoch loss=0.062287 Batch=239, step=18240, lr=0.124250, batch loss=0.035630, epoch loss=0.097917 Batch=299, step=18300, lr=0.124000, batch loss=0.012223, epoch loss=0.110140 Batch=359, step=18360, lr=0.123750, batch loss=0.023709, epoch loss=0.133849 Batch=419, step=18420, lr=0.123500, batch loss=0.029395, epoch loss=0.163245 Batch=479, step=18480, lr=0.123250, batch loss=0.020604, epoch loss=0.183848 Batch=539, step=18540, lr=0.123000, batch loss=0.040206, epoch loss=0.224054 Batch=599, step=18600, lr=0.122750, batch loss=0.026451, epoch loss=0.250505 Batch=659, step=18660, lr=0.122500, batch loss=0.032688, epoch loss=0.283193 Batch=719, step=18720, lr=0.122250, batch loss=0.046658, epoch loss=0.329851 Batch=779, step=18780, lr=0.122000, batch loss=0.116965, epoch loss=0.446817 Batch=839, step=18840, lr=0.121750, batch loss=0.056394, epoch loss=0.503210 Batch=899, step=18900, lr=0.121500, batch loss=0.053830, epoch loss=0.557041 Batch=959, step=18960, lr=0.121250, batch loss=0.015198, epoch loss=0.572238 Batch=1019, step=19020, lr=0.121000, batch loss=0.021981, epoch loss=0.594219 Batch=1079, step=19080, lr=0.120750, batch loss=0.009832, epoch loss=0.604051 Batch=1139, step=19140, lr=0.120500, batch loss=0.023583, epoch loss=0.627634 Batch=1199, step=19200, lr=0.120250, batch loss=0.009201, epoch loss=0.636835 Epoch=15, step=19200, lr=0.120250, epoch loss=0.636835 Batch=59, step=19260, lr=0.120000, batch loss=0.004730, epoch loss=0.004730 Batch=119, step=19320, lr=0.119750, batch loss=0.019952, epoch loss=0.024682 Batch=179, step=19380, lr=0.119500, batch loss=0.053567, epoch loss=0.078250 Batch=239, step=19440, lr=0.119250, batch loss=0.024997, epoch loss=0.103247 Batch=299, step=19500, lr=0.119000, batch loss=0.014756, epoch loss=0.118003 Batch=359, step=19560, lr=0.118750, batch loss=0.035690, epoch loss=0.153693 Batch=419, step=19620, lr=0.118500, batch loss=0.021146, epoch loss=0.174839 Batch=479, step=19680, lr=0.118250, batch loss=0.007838, epoch loss=0.182677 Batch=539, step=19740, lr=0.118000, batch loss=0.019947, epoch loss=0.202624 Batch=599, step=19800, lr=0.117750, batch loss=0.024664, epoch loss=0.227288 Batch=659, step=19860, lr=0.117500, batch loss=0.020420, epoch loss=0.247708 Batch=719, step=19920, lr=0.117250, batch loss=0.040694, epoch loss=0.288401 Batch=779, step=19980, lr=0.117000, batch loss=0.079124, epoch loss=0.367525 Batch=839, step=20040, lr=0.116750, batch loss=0.031764, epoch loss=0.399289 Batch=899, step=20100, lr=0.116500, batch loss=0.031951, epoch loss=0.431239 Batch=959, step=20160, lr=0.116250, batch loss=0.011047, epoch loss=0.442287 Batch=1019, step=20220, lr=0.116000, batch loss=0.013444, epoch loss=0.455731 Batch=1079, step=20280, lr=0.115750, batch loss=0.003479, epoch loss=0.459210 Batch=1139, step=20340, lr=0.115500, batch loss=0.015098, epoch loss=0.474308 Batch=1199, step=20400, lr=0.115250, batch loss=0.005833, epoch loss=0.480141 Epoch=16, step=20400, lr=0.115250, epoch loss=0.480141 Batch=59, step=20460, lr=0.115000, batch loss=0.002881, epoch loss=0.002881 Batch=119, step=20520, lr=0.114750, batch loss=0.009719, epoch loss=0.012600 Batch=179, step=20580, lr=0.114500, batch loss=0.022797, epoch loss=0.035397 Batch=239, step=20640, lr=0.114250, batch loss=0.016104, epoch loss=0.051501 Batch=299, step=20700, lr=0.114000, batch loss=0.004449, epoch loss=0.055950 Batch=359, step=20760, lr=0.113750, batch loss=0.013976, epoch loss=0.069926 Batch=419, step=20820, lr=0.113500, batch loss=0.014544, epoch loss=0.084470 Batch=479, step=20880, lr=0.113250, batch loss=0.004661, epoch loss=0.089132 Batch=539, step=20940, lr=0.113000, batch loss=0.015554, epoch loss=0.104686 Batch=599, step=21000, lr=0.112750, batch loss=0.018336, epoch loss=0.123021 Batch=659, step=21060, lr=0.112500, batch loss=0.016272, epoch loss=0.139293 Batch=719, step=21120, lr=0.112250, batch loss=0.038773, epoch loss=0.178066 Batch=779, step=21180, lr=0.112000, batch loss=0.064725, epoch loss=0.242791 Batch=839, step=21240, lr=0.111750, batch loss=0.025642, epoch loss=0.268433 Batch=899, step=21300, lr=0.111500, batch loss=0.027464, epoch loss=0.295897 Batch=959, step=21360, lr=0.111250, batch loss=0.010383, epoch loss=0.306280 Batch=1019, step=21420, lr=0.111000, batch loss=0.010031, epoch loss=0.316311 Batch=1079, step=21480, lr=0.110750, batch loss=0.001840, epoch loss=0.318151 Batch=1139, step=21540, lr=0.110500, batch loss=0.012607, epoch loss=0.330758 Batch=1199, step=21600, lr=0.110250, batch loss=0.005022, epoch loss=0.335780 Epoch=17, step=21600, lr=0.110250, epoch loss=0.335780 Batch=59, step=21660, lr=0.110000, batch loss=0.002292, epoch loss=0.002292 Batch=119, step=21720, lr=0.109750, batch loss=0.006645, epoch loss=0.008937 Batch=179, step=21780, lr=0.109500, batch loss=0.012749, epoch loss=0.021686 Batch=239, step=21840, lr=0.109250, batch loss=0.010195, epoch loss=0.031881 Batch=299, step=21900, lr=0.109000, batch loss=0.002103, epoch loss=0.033984 Batch=359, step=21960, lr=0.108750, batch loss=0.011102, epoch loss=0.045086 Batch=419, step=22020, lr=0.108500, batch loss=0.011797, epoch loss=0.056883 Batch=479, step=22080, lr=0.108250, batch loss=0.003163, epoch loss=0.060046 Batch=539, step=22140, lr=0.108000, batch loss=0.018221, epoch loss=0.078267 Batch=599, step=22200, lr=0.107750, batch loss=0.016599, epoch loss=0.094866 Batch=659, step=22260, lr=0.107500, batch loss=0.015101, epoch loss=0.109966 Batch=719, step=22320, lr=0.107250, batch loss=0.025955, epoch loss=0.135922 Batch=779, step=22380, lr=0.107000, batch loss=0.036193, epoch loss=0.172115 Batch=839, step=22440, lr=0.106750, batch loss=0.025791, epoch loss=0.197906 Batch=899, step=22500, lr=0.106500, batch loss=0.026876, epoch loss=0.224782 Batch=959, step=22560, lr=0.106250, batch loss=0.009331, epoch loss=0.234113 Batch=1019, step=22620, lr=0.106000, batch loss=0.008498, epoch loss=0.242612 Batch=1079, step=22680, lr=0.105750, batch loss=0.000927, epoch loss=0.243539 Batch=1139, step=22740, lr=0.105500, batch loss=0.010306, epoch loss=0.253845 Batch=1199, step=22800, lr=0.105250, batch loss=0.004738, epoch loss=0.258583 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258583 Batch=59, step=22860, lr=0.105000, batch loss=0.002052, epoch loss=0.002052 Batch=119, step=22920, lr=0.104750, batch loss=0.005487, epoch loss=0.007539 Batch=179, step=22980, lr=0.104500, batch loss=0.010356, epoch loss=0.017895 Batch=239, step=23040, lr=0.104250, batch loss=0.009996, epoch loss=0.027891 Batch=299, step=23100, lr=0.104000, batch loss=0.010494, epoch loss=0.038385 Batch=359, step=23160, lr=0.103750, batch loss=0.011785, epoch loss=0.050170 Batch=419, step=23220, lr=0.103500, batch loss=0.010629, epoch loss=0.060799 Batch=479, step=23280, lr=0.103250, batch loss=0.002821, epoch loss=0.063620 Batch=539, step=23340, lr=0.103000, batch loss=0.017330, epoch loss=0.080951 Batch=599, step=23400, lr=0.102750, batch loss=0.013725, epoch loss=0.094675 Batch=659, step=23460, lr=0.102500, batch loss=0.011331, epoch loss=0.106006 Batch=719, step=23520, lr=0.102250, batch loss=0.011756, epoch loss=0.117763 Batch=779, step=23580, lr=0.102000, batch loss=0.017503, epoch loss=0.135266 Batch=839, step=23640, lr=0.101750, batch loss=0.028604, epoch loss=0.163870 Batch=899, step=23700, lr=0.101500, batch loss=0.020779, epoch loss=0.184648 Batch=959, step=23760, lr=0.101250, batch loss=0.009681, epoch loss=0.194330 Batch=1019, step=23820, lr=0.101000, batch loss=0.007487, epoch loss=0.201817 Batch=1079, step=23880, lr=0.100750, batch loss=0.001084, epoch loss=0.202901 Batch=1139, step=23940, lr=0.100500, batch loss=0.008821, epoch loss=0.211722 Batch=1199, step=24000, lr=0.100250, batch loss=0.004504, epoch loss=0.216226 Epoch=19, step=24000, lr=0.100250, epoch loss=0.216226 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:36.40 ---> saved as "a644a108d7f375e1cefc7c0a7c570092b15e7d4564915cf558d7435e8f5834fe" Job succeeded 2025-03-20 22:36.41: Job succeeded