2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 367be265 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d # debian-12-5.3_ppc64_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 14:55.23: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) (comment debian-12-5.3_ppc64_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 14:55.23: Waiting for resource in pool OCluster 2025-03-20 14:55.23: Waiting for worker… 2025-03-20 14:55.23: Got resource from pool OCluster Building on orithia.caelum.ci.dev All commits already cached HEAD is now at 367be26 Load log_level earlier to consistently log all settings (from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d' locally docker.io/ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d: Pulling from ocaml/opam Digest: sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Status: Downloaded newer image for ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d 2025-03-20 14:55.23 ---> using "f3507cfdd9cda6c78222b1c8f3d9d43d96f1c1996e9ce4244e4686d98b61ddea" from cache /: (comment debian-12-5.3_ppc64_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 14:55.23 ---> using "168c19cef79c05107b538c528fc3d832750d5bdbc3a7b41711e551bb0d81ac6c" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y 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 14:55.23 ---> using "487dda2baaa2465ab82cf99926f729a3b76add6939c52a1d289f6ad7f6b0925b" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 14:55.23 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 14:55.23 ---> using "f0c24e2883a704076675cde5e8701aeb7f9a6cf487764304401841caf4880948" 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 862a7640b1..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 14:56.39 ---> saved as "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 14:56.40 ---> saved as "ea884b42750ec3e40c6f693a0412c05ca8ddd28c79ef51e0c7f6b82f07460bf4" /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 14:56.45 ---> saved as "2f2690e6df5acba851f7d1ffea298852edeb7d64e2835ea98736ee88ecb0718d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 14:56.46 ---> saved as "9ee5fd7e04f96e71d7c6dccb6e014df855ba99922e8e6121c6683c81eb85dc4f" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - 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 bookworm/main ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [236 kB] - Fetched 9119 kB in 2s (5202 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [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-effects 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:ppc64el. - (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 ... 18718 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-03-20 14:57.07 ---> saved as "310351bfb4bacc357dccad8e85edd1d74566895ea75911a092b892c642e1bd93" /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-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [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-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (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_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed ppxlib.0.35.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 14:58.31 ---> saved as "5ca5950713c72cd7153dcc55b3b7db071e740dddfde53604509889041d7b308d" /src: (copy (src .) (dst /src)) 2025-03-20 14:58.33 ---> saved as "ebf0cbb1f51fe70deaeff4940571255a2b3af49e28824b89778ac770d8890237" /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/82fe9e34945e9ff5026e898a95465ada/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/cbf3d4d79acdc1bd76a6d92c5a41d55b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/82fe9e34945e9ff5026e898a95465ada/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/82fe9e34945e9ff5026e898a95465ada/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=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199250, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626482 Batch=299, step=300, lr=0.198750, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.329270, epoch loss=38.401073 Batch=419, step=420, lr=0.198250, batch loss=0.619113, epoch loss=39.020187 Batch=479, step=480, lr=0.198250, batch loss=0.821473, epoch loss=39.841660 Batch=539, step=540, lr=0.197750, batch loss=0.692169, epoch loss=40.533829 Batch=599, step=600, lr=0.197500, batch loss=1.062050, epoch loss=41.595880 Batch=659, step=660, lr=0.197250, batch loss=0.483614, epoch loss=42.079494 Batch=719, step=720, lr=0.197250, batch loss=0.411439, epoch loss=42.490933 Batch=779, step=780, lr=0.197000, batch loss=0.470231, epoch loss=42.961163 Batch=839, step=840, lr=0.196750, batch loss=0.446886, epoch loss=43.408049 Batch=899, step=900, lr=0.196500, batch loss=0.382888, epoch loss=43.790937 Batch=959, step=960, lr=0.196250, batch loss=0.245268, epoch loss=44.036205 Batch=1019, step=1020, lr=0.196000, batch loss=0.466875, epoch loss=44.503080 Batch=1079, step=1080, lr=0.195500, batch loss=0.248982, epoch loss=44.752062 Batch=1139, step=1140, lr=0.195500, batch loss=0.317487, epoch loss=45.069550 Batch=1199, step=1200, lr=0.195000, batch loss=0.263946, epoch loss=45.333496 Epoch=0, step=1200, lr=0.195000, epoch loss=45.333496 Batch=59, step=1260, lr=0.194750, batch loss=0.262377, epoch loss=0.262377 Batch=119, step=1320, lr=0.194750, batch loss=0.205198, epoch loss=0.467575 Batch=179, step=1380, lr=0.194500, batch loss=0.243656, epoch loss=0.711231 Batch=239, step=1440, lr=0.194000, batch loss=0.347969, epoch loss=1.059200 Batch=299, step=1500, lr=0.193750, batch loss=0.247367, epoch loss=1.306567 Batch=359, step=1560, lr=0.193750, batch loss=0.316784, epoch loss=1.623351 Batch=419, step=1620, lr=0.193500, batch loss=0.312645, epoch loss=1.935996 Batch=479, step=1680, lr=0.193250, batch loss=0.276419, epoch loss=2.212414 Batch=539, step=1740, lr=0.193000, batch loss=0.209828, epoch loss=2.422242 Batch=599, step=1800, lr=0.192750, batch loss=0.250732, epoch loss=2.672974 Batch=659, step=1860, lr=0.192500, batch loss=0.367033, epoch loss=3.040007 Batch=719, step=1920, lr=0.192000, batch loss=0.355051, epoch loss=3.395058 Batch=779, step=1980, lr=0.192000, batch loss=0.381164, epoch loss=3.776221 Batch=839, step=2040, lr=0.191750, batch loss=0.339709, epoch loss=4.115930 Batch=899, step=2100, lr=0.191500, batch loss=0.295312, epoch loss=4.411243 Batch=959, step=2160, lr=0.191000, batch loss=0.214188, epoch loss=4.625431 Batch=1019, step=2220, lr=0.191000, batch loss=0.330538, epoch loss=4.955968 Batch=1079, step=2280, lr=0.190750, batch loss=0.209030, epoch loss=5.164998 Batch=1139, step=2340, lr=0.190250, batch loss=0.277919, epoch loss=5.442917 Batch=1199, step=2400, lr=0.190250, batch loss=0.221005, epoch loss=5.663922 Epoch=1, step=2400, lr=0.190250, epoch loss=5.663922 Batch=59, step=2460, lr=0.189750, batch loss=0.230553, epoch loss=0.230553 Batch=119, step=2520, lr=0.189750, batch loss=0.195788, epoch loss=0.426342 Batch=179, step=2580, lr=0.189500, batch loss=0.221185, epoch loss=0.647527 Batch=239, step=2640, lr=0.189000, batch loss=0.328016, epoch loss=0.975543 Batch=299, step=2700, lr=0.188750, batch loss=0.202964, epoch loss=1.178507 Batch=359, step=2760, lr=0.188750, batch loss=0.288324, epoch loss=1.466831 Batch=419, step=2820, lr=0.188250, batch loss=0.280213, epoch loss=1.747044 Batch=479, step=2880, lr=0.188000, batch loss=0.251484, epoch loss=1.998527 Batch=539, step=2940, lr=0.188000, batch loss=0.191340, epoch loss=2.189867 Batch=599, step=3000, lr=0.187500, batch loss=0.224202, epoch loss=2.414069 Batch=659, step=3060, lr=0.187500, batch loss=0.330792, epoch loss=2.744861 Batch=719, step=3120, lr=0.187250, batch loss=0.333618, epoch loss=3.078479 Batch=779, step=3180, lr=0.186750, batch loss=0.354895, epoch loss=3.433374 Batch=839, step=3240, lr=0.186750, batch loss=0.327792, epoch loss=3.761166 Batch=899, step=3300, lr=0.186500, batch loss=0.296425, epoch loss=4.057590 Batch=959, step=3360, lr=0.186250, batch loss=0.239889, epoch loss=4.297479 Batch=1019, step=3420, lr=0.185750, batch loss=0.352708, epoch loss=4.650187 Batch=1079, step=3480, lr=0.185750, batch loss=0.231538, epoch loss=4.881725 Batch=1139, step=3540, lr=0.185500, batch loss=0.263980, epoch loss=5.145705 Batch=1199, step=3600, lr=0.185250, batch loss=0.199545, epoch loss=5.345249 Epoch=2, step=3600, lr=0.185250, epoch loss=5.345249 Batch=59, step=3660, lr=0.185000, batch loss=0.221432, epoch loss=0.221432 Batch=119, step=3720, lr=0.184750, batch loss=0.184599, epoch loss=0.406031 Batch=179, step=3780, lr=0.184500, batch loss=0.210864, epoch loss=0.616895 Batch=239, step=3840, lr=0.184250, batch loss=0.315532, epoch loss=0.932427 Batch=299, step=3900, lr=0.184000, batch loss=0.202754, epoch loss=1.135181 Batch=359, step=3960, lr=0.183500, batch loss=0.281829, epoch loss=1.417010 Batch=419, step=4020, lr=0.183500, batch loss=0.271349, epoch loss=1.688359 Batch=479, step=4080, lr=0.183000, batch loss=0.245630, epoch loss=1.933990 Batch=539, step=4140, lr=0.182750, batch loss=0.193912, epoch loss=2.127902 Batch=599, step=4200, lr=0.182750, batch loss=0.234078, epoch loss=2.361980 Batch=659, step=4260, lr=0.182250, batch loss=0.333535, epoch loss=2.695516 Batch=719, step=4320, lr=0.182250, batch loss=0.341746, epoch loss=3.037262 Batch=779, step=4380, lr=0.181750, batch loss=0.351044, epoch loss=3.388306 Batch=839, step=4440, lr=0.181500, batch loss=0.315335, epoch loss=3.703641 Batch=899, step=4500, lr=0.181500, batch loss=0.280913, epoch loss=3.984554 Batch=959, step=4560, lr=0.181250, batch loss=0.214057, epoch loss=4.198611 Batch=1019, step=4620, lr=0.181000, batch loss=0.357407, epoch loss=4.556018 Batch=1079, step=4680, lr=0.180500, batch loss=0.205892, epoch loss=4.761910 Batch=1139, step=4740, lr=0.180250, batch loss=0.248938, epoch loss=5.010849 Batch=1199, step=4800, lr=0.180000, batch loss=0.190438, epoch loss=5.201287 Epoch=3, step=4800, lr=0.180000, epoch loss=5.201287 Batch=59, step=4860, lr=0.179750, batch loss=0.227218, epoch loss=0.227218 Batch=119, step=4920, lr=0.179750, batch loss=0.190118, epoch loss=0.417335 Batch=179, step=4980, lr=0.179250, batch loss=0.206618, epoch loss=0.623953 Batch=239, step=5040, lr=0.179000, batch loss=0.307569, epoch loss=0.931522 Batch=299, step=5100, lr=0.179000, batch loss=0.209302, epoch loss=1.140824 Batch=359, step=5160, lr=0.178750, batch loss=0.275332, epoch loss=1.416156 Batch=419, step=5220, lr=0.178250, batch loss=0.265138, epoch loss=1.681294 Batch=479, step=5280, lr=0.178000, batch loss=0.241155, epoch loss=1.922450 Batch=539, step=5340, lr=0.178000, batch loss=0.188574, epoch loss=2.111024 Batch=599, step=5400, lr=0.177500, batch loss=0.231783, epoch loss=2.342807 Batch=659, step=5460, lr=0.177250, batch loss=0.323797, epoch loss=2.666605 Batch=719, step=5520, lr=0.177000, batch loss=0.321294, epoch loss=2.987899 Batch=779, step=5580, lr=0.177000, batch loss=0.341081, epoch loss=3.328980 Batch=839, step=5640, lr=0.176500, batch loss=0.311654, epoch loss=3.640634 Batch=899, step=5700, lr=0.176500, batch loss=0.270976, epoch loss=3.911610 Batch=959, step=5760, lr=0.176250, batch loss=0.218601, epoch loss=4.130210 Batch=1019, step=5820, lr=0.176000, batch loss=0.337842, epoch loss=4.468052 Batch=1079, step=5880, lr=0.175750, batch loss=0.206400, epoch loss=4.674452 Batch=1139, step=5940, lr=0.175500, batch loss=0.238654, epoch loss=4.913106 Batch=1199, step=6000, lr=0.175250, batch loss=0.186468, epoch loss=5.099574 Epoch=4, step=6000, lr=0.175250, epoch loss=5.099574 Batch=59, step=6060, lr=0.175000, batch loss=0.231109, epoch loss=0.231109 Batch=119, step=6120, lr=0.174750, batch loss=0.186899, epoch loss=0.418009 Batch=179, step=6180, lr=0.174250, batch loss=0.202102, epoch loss=0.620111 Batch=239, step=6240, lr=0.174250, batch loss=0.299516, epoch loss=0.919627 Batch=299, step=6300, lr=0.173750, batch loss=0.207738, epoch loss=1.127365 Batch=359, step=6360, lr=0.173750, batch loss=0.263149, epoch loss=1.390514 Batch=419, step=6420, lr=0.173500, batch loss=0.259071, epoch loss=1.649585 Batch=479, step=6480, lr=0.173000, batch loss=0.234789, epoch loss=1.884373 Batch=539, step=6540, lr=0.173000, batch loss=0.189662, epoch loss=2.074035 Batch=599, step=6600, lr=0.172750, batch loss=0.224106, epoch loss=2.298141 Batch=659, step=6660, lr=0.172250, batch loss=0.315643, epoch loss=2.613785 Batch=719, step=6720, lr=0.172250, batch loss=0.314771, epoch loss=2.928556 Batch=779, step=6780, lr=0.171750, batch loss=0.333082, epoch loss=3.261638 Batch=839, step=6840, lr=0.171750, batch loss=0.303014, epoch loss=3.564653 Batch=899, step=6900, lr=0.171250, batch loss=0.267983, epoch loss=3.832635 Batch=959, step=6960, lr=0.171000, batch loss=0.209833, epoch loss=4.042469 Batch=1019, step=7020, lr=0.170750, batch loss=0.330596, epoch loss=4.373065 Batch=1079, step=7080, lr=0.170750, batch loss=0.181428, epoch loss=4.554493 Batch=1139, step=7140, lr=0.170500, batch loss=0.216737, epoch loss=4.771230 Batch=1199, step=7200, lr=0.170000, batch loss=0.181756, epoch loss=4.952985 Epoch=5, step=7200, lr=0.170000, epoch loss=4.952985 Batch=59, step=7260, lr=0.169750, batch loss=0.228065, epoch loss=0.228065 Batch=119, step=7320, lr=0.169750, batch loss=0.187192, epoch loss=0.415257 Batch=179, step=7380, lr=0.169500, batch loss=0.194698, epoch loss=0.609955 Batch=239, step=7440, lr=0.169000, batch loss=0.292664, epoch loss=0.902619 Batch=299, step=7500, lr=0.169000, batch loss=0.205535, epoch loss=1.108154 Batch=359, step=7560, lr=0.168750, batch loss=0.262393, epoch loss=1.370546 Batch=419, step=7620, lr=0.168500, batch loss=0.253240, epoch loss=1.623787 Batch=479, step=7680, lr=0.168250, batch loss=0.232799, epoch loss=1.856585 Batch=539, step=7740, lr=0.168000, batch loss=0.192574, epoch loss=2.049159 Batch=599, step=7800, lr=0.167750, batch loss=0.226851, epoch loss=2.276010 Batch=659, step=7860, lr=0.167250, batch loss=0.305070, epoch loss=2.581081 Batch=719, step=7920, lr=0.167000, batch loss=0.308923, epoch loss=2.890003 Batch=779, step=7980, lr=0.166750, batch loss=0.329588, epoch loss=3.219592 Batch=839, step=8040, lr=0.166500, batch loss=0.291965, epoch loss=3.511556 Batch=899, step=8100, lr=0.166500, batch loss=0.263350, epoch loss=3.774907 Batch=959, step=8160, lr=0.166250, batch loss=0.208008, epoch loss=3.982915 Batch=1019, step=8220, lr=0.165750, batch loss=0.316792, epoch loss=4.299707 Batch=1079, step=8280, lr=0.165500, batch loss=0.169855, epoch loss=4.469562 Batch=1139, step=8340, lr=0.165500, batch loss=0.207172, epoch loss=4.676735 Batch=1199, step=8400, lr=0.165250, batch loss=0.179532, epoch loss=4.856267 Epoch=6, step=8400, lr=0.165250, epoch loss=4.856267 Batch=59, step=8460, lr=0.164750, batch loss=0.226366, epoch loss=0.226366 Batch=119, step=8520, lr=0.164750, batch loss=0.176003, epoch loss=0.402369 Batch=179, step=8580, lr=0.164250, batch loss=0.186879, epoch loss=0.589249 Batch=239, step=8640, lr=0.164250, batch loss=0.275515, epoch loss=0.864763 Batch=299, step=8700, lr=0.163750, batch loss=0.193402, epoch loss=1.058165 Batch=359, step=8760, lr=0.163750, batch loss=0.248508, epoch loss=1.306673 Batch=419, step=8820, lr=0.163250, batch loss=0.243728, epoch loss=1.550400 Batch=479, step=8880, lr=0.163000, batch loss=0.229391, epoch loss=1.779791 Batch=539, step=8940, lr=0.162750, batch loss=0.177135, epoch loss=1.956927 Batch=599, step=9000, lr=0.162750, batch loss=0.219071, epoch loss=2.175997 Batch=659, step=9060, lr=0.162250, batch loss=0.292681, epoch loss=2.468678 Batch=719, step=9120, lr=0.162000, batch loss=0.294889, epoch loss=2.763568 Batch=779, step=9180, lr=0.162000, batch loss=0.313376, epoch loss=3.076944 Batch=839, step=9240, lr=0.161750, batch loss=0.280712, epoch loss=3.357656 Batch=899, step=9300, lr=0.161250, batch loss=0.252637, epoch loss=3.610292 Batch=959, step=9360, lr=0.161000, batch loss=0.185985, epoch loss=3.796278 Batch=1019, step=9420, lr=0.160750, batch loss=0.320981, epoch loss=4.117258 Batch=1079, step=9480, lr=0.160500, batch loss=0.195648, epoch loss=4.312906 Batch=1139, step=9540, lr=0.160250, batch loss=0.212179, epoch loss=4.525085 Batch=1199, step=9600, lr=0.160000, batch loss=0.167826, epoch loss=4.692911 Epoch=7, step=9600, lr=0.160000, epoch loss=4.692911 Batch=59, step=9660, lr=0.159750, batch loss=0.206798, epoch loss=0.206798 Batch=119, step=9720, lr=0.159500, batch loss=0.172771, epoch loss=0.379569 Batch=179, step=9780, lr=0.159250, batch loss=0.179371, epoch loss=0.558940 Batch=239, step=9840, lr=0.159000, batch loss=0.261009, epoch loss=0.819949 Batch=299, step=9900, lr=0.158750, batch loss=0.184951, epoch loss=1.004900 Batch=359, step=9960, lr=0.158750, batch loss=0.237067, epoch loss=1.241968 Batch=419, step=10020, lr=0.158250, batch loss=0.233353, epoch loss=1.475321 Batch=479, step=10080, lr=0.158000, batch loss=0.219569, epoch loss=1.694890 Batch=539, step=10140, lr=0.157750, batch loss=0.164631, epoch loss=1.859521 Batch=599, step=10200, lr=0.157500, batch loss=0.196653, epoch loss=2.056174 Batch=659, step=10260, lr=0.157250, batch loss=0.281395, epoch loss=2.337569 Batch=719, step=10320, lr=0.157000, batch loss=0.282578, epoch loss=2.620147 Batch=779, step=10380, lr=0.156750, batch loss=0.293806, epoch loss=2.913952 Batch=839, step=10440, lr=0.156750, batch loss=0.270373, epoch loss=3.184325 Batch=899, step=10500, lr=0.156250, batch loss=0.237581, epoch loss=3.421906 Batch=959, step=10560, lr=0.156250, batch loss=0.175290, epoch loss=3.597196 Batch=1019, step=10620, lr=0.155750, batch loss=0.285208, epoch loss=3.882404 Batch=1079, step=10680, lr=0.155500, batch loss=0.178728, epoch loss=4.061133 Batch=1139, step=10740, lr=0.155500, batch loss=0.200881, epoch loss=4.262014 Batch=1199, step=10800, lr=0.155000, batch loss=0.155254, epoch loss=4.417268 Epoch=8, step=10800, lr=0.155000, epoch loss=4.417268 Batch=59, step=10860, lr=0.154750, batch loss=0.177562, epoch loss=0.177562 Batch=119, step=10920, lr=0.154500, batch loss=0.150722, epoch loss=0.328284 Batch=179, step=10980, lr=0.154250, batch loss=0.165431, epoch loss=0.493716 Batch=239, step=11040, lr=0.154250, batch loss=0.241281, epoch loss=0.734996 Batch=299, step=11100, lr=0.154000, batch loss=0.170456, epoch loss=0.905452 Batch=359, step=11160, lr=0.153500, batch loss=0.218189, epoch loss=1.123640 Batch=419, step=11220, lr=0.153250, batch loss=0.214629, epoch loss=1.338269 Batch=479, step=11280, lr=0.153250, batch loss=0.201363, epoch loss=1.539632 Batch=539, step=11340, lr=0.153000, batch loss=0.160169, epoch loss=1.699801 Batch=599, step=11400, lr=0.152500, batch loss=0.183059, epoch loss=1.882860 Batch=659, step=11460, lr=0.152250, batch loss=0.261983, epoch loss=2.144843 Batch=719, step=11520, lr=0.152250, batch loss=0.260057, epoch loss=2.404900 Batch=779, step=11580, lr=0.151750, batch loss=0.269044, epoch loss=2.673944 Batch=839, step=11640, lr=0.151500, batch loss=0.250468, epoch loss=2.924412 Batch=899, step=11700, lr=0.151250, batch loss=0.216958, epoch loss=3.141370 Batch=959, step=11760, lr=0.151000, batch loss=0.171887, epoch loss=3.313258 Batch=1019, step=11820, lr=0.150750, batch loss=0.260422, epoch loss=3.573680 Batch=1079, step=11880, lr=0.150750, batch loss=0.138633, epoch loss=3.712313 Batch=1139, step=11940, lr=0.150250, batch loss=0.173945, epoch loss=3.886258 Batch=1199, step=12000, lr=0.150000, batch loss=0.138254, epoch loss=4.024512 Epoch=9, step=12000, lr=0.150000, epoch loss=4.024512 Batch=59, step=12060, lr=0.150000, batch loss=0.162091, epoch loss=0.162091 Batch=119, step=12120, lr=0.149750, batch loss=0.135465, epoch loss=0.297556 Batch=179, step=12180, lr=0.149250, batch loss=0.149806, epoch loss=0.447362 Batch=239, step=12240, lr=0.149000, batch loss=0.218160, epoch loss=0.665522 Batch=299, step=12300, lr=0.149000, batch loss=0.140787, epoch loss=0.806308 Batch=359, step=12360, lr=0.148500, batch loss=0.197932, epoch loss=1.004241 Batch=419, step=12420, lr=0.148250, batch loss=0.203825, epoch loss=1.208066 Batch=479, step=12480, lr=0.148000, batch loss=0.179504, epoch loss=1.387570 Batch=539, step=12540, lr=0.148000, batch loss=0.141069, epoch loss=1.528639 Batch=599, step=12600, lr=0.147750, batch loss=0.149507, epoch loss=1.678146 Batch=659, step=12660, lr=0.147500, batch loss=0.224465, epoch loss=1.902612 Batch=719, step=12720, lr=0.147250, batch loss=0.237078, epoch loss=2.139690 Batch=779, step=12780, lr=0.147000, batch loss=0.263011, epoch loss=2.402701 Batch=839, step=12840, lr=0.146750, batch loss=0.234740, epoch loss=2.637441 Batch=899, step=12900, lr=0.146250, batch loss=0.230141, epoch loss=2.867582 Batch=959, step=12960, lr=0.146250, batch loss=0.138895, epoch loss=3.006477 Batch=1019, step=13020, lr=0.146000, batch loss=0.210099, epoch loss=3.216576 Batch=1079, step=13080, lr=0.145500, batch loss=0.118237, epoch loss=3.334814 Batch=1139, step=13140, lr=0.145250, batch loss=0.157435, epoch loss=3.492249 Batch=1199, step=13200, lr=0.145250, batch loss=0.116683, epoch loss=3.608932 Epoch=10, step=13200, lr=0.145250, epoch loss=3.608932 Batch=59, step=13260, lr=0.145000, batch loss=0.135862, epoch loss=0.135862 Batch=119, step=13320, lr=0.144750, batch loss=0.117203, epoch loss=0.253065 Batch=179, step=13380, lr=0.144250, batch loss=0.126386, epoch loss=0.379451 Batch=239, step=13440, lr=0.144000, batch loss=0.181981, epoch loss=0.561432 Batch=299, step=13500, lr=0.144000, batch loss=0.119633, epoch loss=0.681065 Batch=359, step=13560, lr=0.143750, batch loss=0.161050, epoch loss=0.842115 Batch=419, step=13620, lr=0.143250, batch loss=0.159028, epoch loss=1.001142 Batch=479, step=13680, lr=0.143000, batch loss=0.146656, epoch loss=1.147799 Batch=539, step=13740, lr=0.143000, batch loss=0.117847, epoch loss=1.265646 Batch=599, step=13800, lr=0.142500, batch loss=0.119568, epoch loss=1.385214 Batch=659, step=13860, lr=0.142250, batch loss=0.175233, epoch loss=1.560447 Batch=719, step=13920, lr=0.142250, batch loss=0.171321, epoch loss=1.731769 Batch=779, step=13980, lr=0.142000, batch loss=0.186475, epoch loss=1.918243 Batch=839, step=14040, lr=0.141500, batch loss=0.191085, epoch loss=2.109328 Batch=899, step=14100, lr=0.141250, batch loss=0.209472, epoch loss=2.318800 Batch=959, step=14160, lr=0.141250, batch loss=0.108259, epoch loss=2.427058 Batch=1019, step=14220, lr=0.140750, batch loss=0.188001, epoch loss=2.615059 Batch=1079, step=14280, lr=0.140750, batch loss=0.082888, epoch loss=2.697947 Batch=1139, step=14340, lr=0.140250, batch loss=0.139341, epoch loss=2.837288 Batch=1199, step=14400, lr=0.140250, batch loss=0.087418, epoch loss=2.924706 Epoch=11, step=14400, lr=0.140250, epoch loss=2.924706 Batch=59, step=14460, lr=0.140000, batch loss=0.112801, epoch loss=0.112801 Batch=119, step=14520, lr=0.139500, batch loss=0.108475, epoch loss=0.221276 Batch=179, step=14580, lr=0.139250, batch loss=0.102191, epoch loss=0.323468 Batch=239, step=14640, lr=0.139000, batch loss=0.136921, epoch loss=0.460388 Batch=299, step=14700, lr=0.138750, batch loss=0.079280, epoch loss=0.539669 Batch=359, step=14760, lr=0.138500, batch loss=0.121410, epoch loss=0.661078 Batch=419, step=14820, lr=0.138250, batch loss=0.132856, epoch loss=0.793935 Batch=479, step=14880, lr=0.138000, batch loss=0.096742, epoch loss=0.890677 Batch=539, step=14940, lr=0.138000, batch loss=0.102327, epoch loss=0.993004 Batch=599, step=15000, lr=0.137500, batch loss=0.082649, epoch loss=1.075653 Batch=659, step=15060, lr=0.137250, batch loss=0.124060, epoch loss=1.199713 Batch=719, step=15120, lr=0.137250, batch loss=0.126804, epoch loss=1.326517 Batch=779, step=15180, lr=0.137000, batch loss=0.161350, epoch loss=1.487867 Batch=839, step=15240, lr=0.136500, batch loss=0.162574, epoch loss=1.650441 Batch=899, step=15300, lr=0.136250, batch loss=0.287125, epoch loss=1.937566 Batch=959, step=15360, lr=0.136000, batch loss=0.059093, epoch loss=1.996659 Batch=1019, step=15420, lr=0.136000, batch loss=0.134577, epoch loss=2.131236 Batch=1079, step=15480, lr=0.135500, batch loss=0.043638, epoch loss=2.174874 Batch=1139, step=15540, lr=0.135250, batch loss=0.096175, epoch loss=2.271049 Batch=1199, step=15600, lr=0.135000, batch loss=0.056971, epoch loss=2.328020 Epoch=12, step=15600, lr=0.135000, epoch loss=2.328020 Batch=59, step=15660, lr=0.134750, batch loss=0.078724, epoch loss=0.078724 Batch=119, step=15720, lr=0.134500, batch loss=0.120401, epoch loss=0.199124 Batch=179, step=15780, lr=0.134500, batch loss=0.091400, epoch loss=0.290524 Batch=239, step=15840, lr=0.134000, batch loss=0.093771, epoch loss=0.384295 Batch=299, step=15900, lr=0.133750, batch loss=0.039582, epoch loss=0.423877 Batch=359, step=15960, lr=0.133500, batch loss=0.082357, epoch loss=0.506234 Batch=419, step=16020, lr=0.133500, batch loss=0.076538, epoch loss=0.582772 Batch=479, step=16080, lr=0.133000, batch loss=0.052892, epoch loss=0.635665 Batch=539, step=16140, lr=0.132750, batch loss=0.079917, epoch loss=0.715581 Batch=599, step=16200, lr=0.132500, batch loss=0.171360, epoch loss=0.886941 Batch=659, step=16260, lr=0.132250, batch loss=0.095662, epoch loss=0.982603 Batch=719, step=16320, lr=0.132250, batch loss=0.126427, epoch loss=1.109030 Batch=779, step=16380, lr=0.132000, batch loss=0.287051, epoch loss=1.396082 Batch=839, step=16440, lr=0.131750, batch loss=0.092320, epoch loss=1.488402 Batch=899, step=16500, lr=0.131250, batch loss=0.079087, epoch loss=1.567488 Batch=959, step=16560, lr=0.131000, batch loss=0.031000, epoch loss=1.598488 Batch=1019, step=16620, lr=0.130750, batch loss=0.060051, epoch loss=1.658539 Batch=1079, step=16680, lr=0.130500, batch loss=0.060629, epoch loss=1.719168 Batch=1139, step=16740, lr=0.130250, batch loss=0.105132, epoch loss=1.824300 Batch=1199, step=16800, lr=0.130250, batch loss=0.050570, epoch loss=1.874870 Epoch=13, step=16800, lr=0.130250, epoch loss=1.874870 Batch=59, step=16860, lr=0.129750, batch loss=0.034706, epoch loss=0.034706 Batch=119, step=16920, lr=0.129500, batch loss=0.032765, epoch loss=0.067471 Batch=179, step=16980, lr=0.129250, batch loss=0.043863, epoch loss=0.111335 Batch=239, step=17040, lr=0.129000, batch loss=0.058650, epoch loss=0.169984 Batch=299, step=17100, lr=0.128750, batch loss=0.018540, epoch loss=0.188524 Batch=359, step=17160, lr=0.128500, batch loss=0.042140, epoch loss=0.230664 Batch=419, step=17220, lr=0.128500, batch loss=0.044130, epoch loss=0.274794 Batch=479, step=17280, lr=0.128000, batch loss=0.022846, epoch loss=0.297640 Batch=539, step=17340, lr=0.127750, batch loss=0.029794, epoch loss=0.327434 Batch=599, step=17400, lr=0.127750, batch loss=0.034832, epoch loss=0.362266 Batch=659, step=17460, lr=0.127250, batch loss=0.046510, epoch loss=0.408776 Batch=719, step=17520, lr=0.127000, batch loss=0.056250, epoch loss=0.465026 Batch=779, step=17580, lr=0.127000, batch loss=0.075776, epoch loss=0.540802 Batch=839, step=17640, lr=0.126500, batch loss=0.139773, epoch loss=0.680575 Batch=899, step=17700, lr=0.126250, batch loss=0.053706, epoch loss=0.734281 Batch=959, step=17760, lr=0.126000, batch loss=0.018844, epoch loss=0.753126 Batch=1019, step=17820, lr=0.126000, batch loss=0.028891, epoch loss=0.782016 Batch=1079, step=17880, lr=0.125750, batch loss=0.016322, epoch loss=0.798339 Batch=1139, step=17940, lr=0.125500, batch loss=0.041720, epoch loss=0.840059 Batch=1199, step=18000, lr=0.125250, batch loss=0.015920, epoch loss=0.855980 Epoch=14, step=18000, lr=0.125250, epoch loss=0.855980 Batch=59, step=18060, lr=0.124750, batch loss=0.014367, epoch loss=0.014367 Batch=119, step=18120, lr=0.124750, batch loss=0.027709, epoch loss=0.042076 Batch=179, step=18180, lr=0.124250, batch loss=0.029398, epoch loss=0.071474 Batch=239, step=18240, lr=0.124000, batch loss=0.033489, epoch loss=0.104963 Batch=299, step=18300, lr=0.124000, batch loss=0.009028, epoch loss=0.113992 Batch=359, step=18360, lr=0.123500, batch loss=0.025481, epoch loss=0.139472 Batch=419, step=18420, lr=0.123250, batch loss=0.037984, epoch loss=0.177456 Batch=479, step=18480, lr=0.123000, batch loss=0.018946, epoch loss=0.196402 Batch=539, step=18540, lr=0.122750, batch loss=0.032552, epoch loss=0.228954 Batch=599, step=18600, lr=0.122750, batch loss=0.025491, epoch loss=0.254446 Batch=659, step=18660, lr=0.122250, batch loss=0.033885, epoch loss=0.288331 Batch=719, step=18720, lr=0.122000, batch loss=0.036711, epoch loss=0.325043 Batch=779, step=18780, lr=0.122000, batch loss=0.091152, epoch loss=0.416195 Batch=839, step=18840, lr=0.121500, batch loss=0.080346, epoch loss=0.496541 Batch=899, step=18900, lr=0.121500, batch loss=0.115998, epoch loss=0.612539 Batch=959, step=18960, lr=0.121250, batch loss=0.016529, epoch loss=0.629068 Batch=1019, step=19020, lr=0.121000, batch loss=0.023823, epoch loss=0.652892 Batch=1079, step=19080, lr=0.120500, batch loss=0.005305, epoch loss=0.658197 Batch=1139, step=19140, lr=0.120250, batch loss=0.026016, epoch loss=0.684213 Batch=1199, step=19200, lr=0.120250, batch loss=0.011735, epoch loss=0.695947 Epoch=15, step=19200, lr=0.120250, epoch loss=0.695947 Batch=59, step=19260, lr=0.119750, batch loss=0.006065, epoch loss=0.006065 Batch=119, step=19320, lr=0.119500, batch loss=0.011089, epoch loss=0.017154 Batch=179, step=19380, lr=0.119500, batch loss=0.020433, epoch loss=0.037586 Batch=239, step=19440, lr=0.119000, batch loss=0.022780, epoch loss=0.060366 Batch=299, step=19500, lr=0.119000, batch loss=0.006303, epoch loss=0.066670 Batch=359, step=19560, lr=0.118750, batch loss=0.016657, epoch loss=0.083327 Batch=419, step=19620, lr=0.118250, batch loss=0.019503, epoch loss=0.102829 Batch=479, step=19680, lr=0.118250, batch loss=0.010165, epoch loss=0.112995 Batch=539, step=19740, lr=0.118000, batch loss=0.018816, epoch loss=0.131810 Batch=599, step=19800, lr=0.117500, batch loss=0.019242, epoch loss=0.151053 Batch=659, step=19860, lr=0.117250, batch loss=0.017415, epoch loss=0.168468 Batch=719, step=19920, lr=0.117000, batch loss=0.019414, epoch loss=0.187883 Batch=779, step=19980, lr=0.116750, batch loss=0.036049, epoch loss=0.223932 Batch=839, step=20040, lr=0.116500, batch loss=0.031430, epoch loss=0.255361 Batch=899, step=20100, lr=0.116500, batch loss=0.028305, epoch loss=0.283667 Batch=959, step=20160, lr=0.116000, batch loss=0.011477, epoch loss=0.295144 Batch=1019, step=20220, lr=0.115750, batch loss=0.014318, epoch loss=0.309462 Batch=1079, step=20280, lr=0.115750, batch loss=0.004391, epoch loss=0.313853 Batch=1139, step=20340, lr=0.115250, batch loss=0.016898, epoch loss=0.330751 Batch=1199, step=20400, lr=0.115250, batch loss=0.008300, epoch loss=0.339050 Epoch=16, step=20400, lr=0.115250, epoch loss=0.339050 Batch=59, step=20460, lr=0.114750, batch loss=0.004261, epoch loss=0.004261 Batch=119, step=20520, lr=0.114750, batch loss=0.010798, epoch loss=0.015059 Batch=179, step=20580, lr=0.114250, batch loss=0.025878, epoch loss=0.040937 Batch=239, step=20640, lr=0.114000, batch loss=0.013835, epoch loss=0.054771 Batch=299, step=20700, lr=0.113750, batch loss=0.003335, epoch loss=0.058106 Batch=359, step=20760, lr=0.113750, batch loss=0.012699, epoch loss=0.070805 Batch=419, step=20820, lr=0.113250, batch loss=0.013812, epoch loss=0.084617 Batch=479, step=20880, lr=0.113250, batch loss=0.005613, epoch loss=0.090230 Batch=539, step=20940, lr=0.112750, batch loss=0.015462, epoch loss=0.105691 Batch=599, step=21000, lr=0.112500, batch loss=0.018319, epoch loss=0.124011 Batch=659, step=21060, lr=0.112250, batch loss=0.014396, epoch loss=0.138407 Batch=719, step=21120, lr=0.112250, batch loss=0.045395, epoch loss=0.183802 Batch=779, step=21180, lr=0.111750, batch loss=0.072092, epoch loss=0.255894 Batch=839, step=21240, lr=0.111500, batch loss=0.025324, epoch loss=0.281218 Batch=899, step=21300, lr=0.111250, batch loss=0.028460, epoch loss=0.309678 Batch=959, step=21360, lr=0.111000, batch loss=0.010755, epoch loss=0.320432 Batch=1019, step=21420, lr=0.110750, batch loss=0.013138, epoch loss=0.333570 Batch=1079, step=21480, lr=0.110750, batch loss=0.001846, epoch loss=0.335416 Batch=1139, step=21540, lr=0.110250, batch loss=0.012826, epoch loss=0.348243 Batch=1199, step=21600, lr=0.110000, batch loss=0.005217, epoch loss=0.353460 Epoch=17, step=21600, lr=0.110000, epoch loss=0.353460 Batch=59, step=21660, lr=0.110000, batch loss=0.002702, epoch loss=0.002702 Batch=119, step=21720, lr=0.109500, batch loss=0.006660, epoch loss=0.009361 Batch=179, step=21780, lr=0.109250, batch loss=0.012918, epoch loss=0.022280 Batch=239, step=21840, lr=0.109000, batch loss=0.009437, epoch loss=0.031717 Batch=299, step=21900, lr=0.108750, batch loss=0.002745, epoch loss=0.034461 Batch=359, step=21960, lr=0.108500, batch loss=0.016369, epoch loss=0.050830 Batch=419, step=22020, lr=0.108250, batch loss=0.012368, epoch loss=0.063198 Batch=479, step=22080, lr=0.108250, batch loss=0.002712, epoch loss=0.065910 Batch=539, step=22140, lr=0.107750, batch loss=0.017044, epoch loss=0.082954 Batch=599, step=22200, lr=0.107500, batch loss=0.015480, epoch loss=0.098433 Batch=659, step=22260, lr=0.107250, batch loss=0.012866, epoch loss=0.111300 Batch=719, step=22320, lr=0.107000, batch loss=0.025497, epoch loss=0.136797 Batch=779, step=22380, lr=0.106750, batch loss=0.036851, epoch loss=0.173648 Batch=839, step=22440, lr=0.106500, batch loss=0.023162, epoch loss=0.196810 Batch=899, step=22500, lr=0.106250, batch loss=0.031854, epoch loss=0.228664 Batch=959, step=22560, lr=0.106250, batch loss=0.009057, epoch loss=0.237721 Batch=1019, step=22620, lr=0.105750, batch loss=0.009746, epoch loss=0.247467 Batch=1079, step=22680, lr=0.105500, batch loss=0.000602, epoch loss=0.248070 Batch=1139, step=22740, lr=0.105250, batch loss=0.010296, epoch loss=0.258365 Batch=1199, step=22800, lr=0.105000, batch loss=0.004677, epoch loss=0.263042 Epoch=18, step=22800, lr=0.105000, epoch loss=0.263042 Batch=59, step=22860, lr=0.104750, batch loss=0.001872, epoch loss=0.001872 Batch=119, step=22920, lr=0.104500, batch loss=0.005526, epoch loss=0.007397 Batch=179, step=22980, lr=0.104250, batch loss=0.011182, epoch loss=0.018579 Batch=239, step=23040, lr=0.104250, batch loss=0.009304, epoch loss=0.027884 Batch=299, step=23100, lr=0.103750, batch loss=0.011245, epoch loss=0.039129 Batch=359, step=23160, lr=0.103500, batch loss=0.011868, epoch loss=0.050997 Batch=419, step=23220, lr=0.103250, batch loss=0.010486, epoch loss=0.061483 Batch=479, step=23280, lr=0.103250, batch loss=0.002526, epoch loss=0.064009 Batch=539, step=23340, lr=0.103000, batch loss=0.017514, epoch loss=0.081523 Batch=599, step=23400, lr=0.102750, batch loss=0.013671, epoch loss=0.095194 Batch=659, step=23460, lr=0.102500, batch loss=0.011857, epoch loss=0.107051 Batch=719, step=23520, lr=0.102250, batch loss=0.011982, epoch loss=0.119033 Batch=779, step=23580, lr=0.102000, batch loss=0.022118, epoch loss=0.141150 Batch=839, step=23640, lr=0.101750, batch loss=0.026472, epoch loss=0.167623 Batch=899, step=23700, lr=0.101500, batch loss=0.022512, epoch loss=0.190135 Batch=959, step=23760, lr=0.101000, batch loss=0.008073, epoch loss=0.198208 Batch=1019, step=23820, lr=0.101000, batch loss=0.008090, epoch loss=0.206298 Batch=1079, step=23880, lr=0.100500, batch loss=0.001204, epoch loss=0.207502 Batch=1139, step=23940, lr=0.100500, batch loss=0.009345, epoch loss=0.216846 Batch=1199, step=24000, lr=0.100000, batch loss=0.004965, epoch loss=0.221811 Epoch=19, step=24000, lr=0.100000, epoch loss=0.221811 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####*************..........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 14:59.18 ---> saved as "b0d61a50e35a7e6fe63d3985a6d11bd5e49e3ae5156fbe986a394e935c290c27" Job succeeded 2025-03-20 14:59.19: Job succeeded