2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:ubuntu-24.10-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8b6a6fac cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 # ubuntu-24.10-5.3_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 2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) (comment ubuntu-24.10-5.3_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")) ) 2025-03-21 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:48.59: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at d63fdf0d Expose and test the new unary ops HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-21 14:49.00 ---> using "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" from cache /: (comment ubuntu-24.10-5.3_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")) 2025-03-21 14:49.01 ---> saved as "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 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=31 --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 2025-03-21 14:50.22 ---> saved as "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 14:50.23 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:50.23 ---> saved as "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" /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..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:51.42 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:51.43 ---> saved as "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" /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) 2025-03-21 14:51.50 ---> saved as "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:51.51 ---> saved as "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" /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" - Hit:1 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:2 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:3 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Get:6 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Fetched 1549 kB in 1s (1955 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-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 libpkgconf3: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 ... 16145 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Setting up pkgconf-bin (1.8.1-3ubuntu1) ... - Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ... - Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ... - Processing triggers for libc-bin (2.40-1ubuntu3.1) ... 2025-03-21 14:52.28 ---> saved as "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" /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 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_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (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 stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed ctypes-foreign.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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_globalize.v0.17.0 -> installed ppx_enumerate.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) 2025-03-21 14:55.00 ---> saved as "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" /src: (copy (src .) (dst /src)) 2025-03-21 14:55.02 ---> saved as "8d9de909c6ebf1e012bf774270575a4289f9015eafef0955893cd5c7ed1dc262" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/b68ae0c6caad32d06e204cbd346d2107/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed490a5ff0ebcb555bc019fa5570b715/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/ed490a5ff0ebcb555bc019fa5570b715/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196250, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245149, epoch loss=44.035556 Batch=1019, step=1020, lr=0.196000, batch loss=0.466512, epoch loss=44.502068 Batch=1079, step=1080, lr=0.195750, batch loss=0.248801, epoch loss=44.750869 Batch=1139, step=1140, lr=0.195500, batch loss=0.317443, epoch loss=45.068312 Batch=1199, step=1200, lr=0.195250, batch loss=0.263701, epoch loss=45.332012 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332012 Batch=59, step=1260, lr=0.195000, batch loss=0.262150, epoch loss=0.262150 Batch=119, step=1320, lr=0.194750, batch loss=0.205247, epoch loss=0.467397 Batch=179, step=1380, lr=0.194500, batch loss=0.243653, epoch loss=0.711049 Batch=239, step=1440, lr=0.194250, batch loss=0.347899, epoch loss=1.058948 Batch=299, step=1500, lr=0.194000, batch loss=0.247360, epoch loss=1.306308 Batch=359, step=1560, lr=0.193500, batch loss=0.316569, epoch loss=1.622877 Batch=419, step=1620, lr=0.193500, batch loss=0.312711, epoch loss=1.935589 Batch=479, step=1680, lr=0.193250, batch loss=0.276296, epoch loss=2.211884 Batch=539, step=1740, lr=0.193000, batch loss=0.209813, epoch loss=2.421697 Batch=599, step=1800, lr=0.192750, batch loss=0.250449, epoch loss=2.672146 Batch=659, step=1860, lr=0.192250, batch loss=0.367162, epoch loss=3.039308 Batch=719, step=1920, lr=0.192000, batch loss=0.354906, epoch loss=3.394214 Batch=779, step=1980, lr=0.192000, batch loss=0.381352, epoch loss=3.775567 Batch=839, step=2040, lr=0.191750, batch loss=0.339654, epoch loss=4.115220 Batch=899, step=2100, lr=0.191500, batch loss=0.295232, epoch loss=4.410453 Batch=959, step=2160, lr=0.191250, batch loss=0.214065, epoch loss=4.624518 Batch=1019, step=2220, lr=0.191000, batch loss=0.330906, epoch loss=4.955424 Batch=1079, step=2280, lr=0.190750, batch loss=0.208328, epoch loss=5.163752 Batch=1139, step=2340, lr=0.190500, batch loss=0.278289, epoch loss=5.442041 Batch=1199, step=2400, lr=0.190250, batch loss=0.220835, epoch loss=5.662877 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662877 Batch=59, step=2460, lr=0.190000, batch loss=0.230403, epoch loss=0.230403 Batch=119, step=2520, lr=0.189750, batch loss=0.195927, epoch loss=0.426329 Batch=179, step=2580, lr=0.189500, batch loss=0.221179, epoch loss=0.647508 Batch=239, step=2640, lr=0.189000, batch loss=0.328106, epoch loss=0.975614 Batch=299, step=2700, lr=0.188750, batch loss=0.202926, epoch loss=1.178540 Batch=359, step=2760, lr=0.188500, batch loss=0.288273, epoch loss=1.466813 Batch=419, step=2820, lr=0.188500, batch loss=0.280178, epoch loss=1.746992 Batch=479, step=2880, lr=0.188250, batch loss=0.251474, epoch loss=1.998466 Batch=539, step=2940, lr=0.188000, batch loss=0.191282, epoch loss=2.189748 Batch=599, step=3000, lr=0.187750, batch loss=0.224960, epoch loss=2.414708 Batch=659, step=3060, lr=0.187500, batch loss=0.335794, epoch loss=2.750502 Batch=719, step=3120, lr=0.187250, batch loss=0.331414, epoch loss=3.081917 Batch=779, step=3180, lr=0.187000, batch loss=0.357951, epoch loss=3.439867 Batch=839, step=3240, lr=0.186750, batch loss=0.325606, epoch loss=3.765474 Batch=899, step=3300, lr=0.186500, batch loss=0.292405, epoch loss=4.057879 Batch=959, step=3360, lr=0.186250, batch loss=0.244900, epoch loss=4.302779 Batch=1019, step=3420, lr=0.186000, batch loss=0.361981, epoch loss=4.664760 Batch=1079, step=3480, lr=0.185750, batch loss=0.221958, epoch loss=4.886718 Batch=1139, step=3540, lr=0.185500, batch loss=0.264094, epoch loss=5.150811 Batch=1199, step=3600, lr=0.185250, batch loss=0.199939, epoch loss=5.350750 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350750 Batch=59, step=3660, lr=0.185000, batch loss=0.221201, epoch loss=0.221201 Batch=119, step=3720, lr=0.184750, batch loss=0.184984, epoch loss=0.406185 Batch=179, step=3780, lr=0.184500, batch loss=0.211407, epoch loss=0.617592 Batch=239, step=3840, lr=0.184250, batch loss=0.316954, epoch loss=0.934547 Batch=299, step=3900, lr=0.184000, batch loss=0.209249, epoch loss=1.143795 Batch=359, step=3960, lr=0.183750, batch loss=0.285620, epoch loss=1.429415 Batch=419, step=4020, lr=0.183500, batch loss=0.278279, epoch loss=1.707694 Batch=479, step=4080, lr=0.183250, batch loss=0.254935, epoch loss=1.962629 Batch=539, step=4140, lr=0.182750, batch loss=0.199990, epoch loss=2.162619 Batch=599, step=4200, lr=0.182500, batch loss=0.242526, epoch loss=2.405145 Batch=659, step=4260, lr=0.182500, batch loss=0.327778, epoch loss=2.732923 Batch=719, step=4320, lr=0.182250, batch loss=0.330851, epoch loss=3.063774 Batch=779, step=4380, lr=0.182000, batch loss=0.349768, epoch loss=3.413542 Batch=839, step=4440, lr=0.181750, batch loss=0.317821, epoch loss=3.731363 Batch=899, step=4500, lr=0.181500, batch loss=0.285808, epoch loss=4.017171 Batch=959, step=4560, lr=0.181250, batch loss=0.239612, epoch loss=4.256783 Batch=1019, step=4620, lr=0.181000, batch loss=0.333033, epoch loss=4.589816 Batch=1079, step=4680, lr=0.180500, batch loss=0.195702, epoch loss=4.785518 Batch=1139, step=4740, lr=0.180500, batch loss=0.228999, epoch loss=5.014517 Batch=1199, step=4800, lr=0.180250, batch loss=0.193296, epoch loss=5.207813 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207813 Batch=59, step=4860, lr=0.180000, batch loss=0.234279, epoch loss=0.234279 Batch=119, step=4920, lr=0.179750, batch loss=0.191980, epoch loss=0.426259 Batch=179, step=4980, lr=0.179500, batch loss=0.205735, epoch loss=0.631994 Batch=239, step=5040, lr=0.179250, batch loss=0.307591, epoch loss=0.939585 Batch=299, step=5100, lr=0.179000, batch loss=0.205895, epoch loss=1.145480 Batch=359, step=5160, lr=0.178750, batch loss=0.270864, epoch loss=1.416344 Batch=419, step=5220, lr=0.178500, batch loss=0.265458, epoch loss=1.681802 Batch=479, step=5280, lr=0.178250, batch loss=0.242052, epoch loss=1.923854 Batch=539, step=5340, lr=0.178000, batch loss=0.195076, epoch loss=2.118930 Batch=599, step=5400, lr=0.177750, batch loss=0.243630, epoch loss=2.362561 Batch=659, step=5460, lr=0.177500, batch loss=0.317046, epoch loss=2.679607 Batch=719, step=5520, lr=0.177250, batch loss=0.317824, epoch loss=2.997431 Batch=779, step=5580, lr=0.177000, batch loss=0.343067, epoch loss=3.340498 Batch=839, step=5640, lr=0.176750, batch loss=0.308299, epoch loss=3.648797 Batch=899, step=5700, lr=0.176500, batch loss=0.273755, epoch loss=3.922552 Batch=959, step=5760, lr=0.176250, batch loss=0.210889, epoch loss=4.133442 Batch=1019, step=5820, lr=0.176000, batch loss=0.338602, epoch loss=4.472044 Batch=1079, step=5880, lr=0.175750, batch loss=0.201495, epoch loss=4.673538 Batch=1139, step=5940, lr=0.175500, batch loss=0.242921, epoch loss=4.916459 Batch=1199, step=6000, lr=0.175250, batch loss=0.185389, epoch loss=5.101848 Epoch=4, step=6000, lr=0.175250, epoch loss=5.101848 Batch=59, step=6060, lr=0.175000, batch loss=0.226485, epoch loss=0.226485 Batch=119, step=6120, lr=0.174750, batch loss=0.183991, epoch loss=0.410476 Batch=179, step=6180, lr=0.174500, batch loss=0.201397, epoch loss=0.611874 Batch=239, step=6240, lr=0.174250, batch loss=0.301320, epoch loss=0.913194 Batch=299, step=6300, lr=0.174000, batch loss=0.205613, epoch loss=1.118806 Batch=359, step=6360, lr=0.173750, batch loss=0.265025, epoch loss=1.383832 Batch=419, step=6420, lr=0.173500, batch loss=0.261277, epoch loss=1.645109 Batch=479, step=6480, lr=0.173250, batch loss=0.241273, epoch loss=1.886382 Batch=539, step=6540, lr=0.173000, batch loss=0.196184, epoch loss=2.082566 Batch=599, step=6600, lr=0.172750, batch loss=0.232468, epoch loss=2.315034 Batch=659, step=6660, lr=0.172500, batch loss=0.313562, epoch loss=2.628597 Batch=719, step=6720, lr=0.172250, batch loss=0.316743, epoch loss=2.945339 Batch=779, step=6780, lr=0.172000, batch loss=0.330843, epoch loss=3.276182 Batch=839, step=6840, lr=0.171750, batch loss=0.306365, epoch loss=3.582547 Batch=899, step=6900, lr=0.171500, batch loss=0.268521, epoch loss=3.851068 Batch=959, step=6960, lr=0.171250, batch loss=0.207720, epoch loss=4.058788 Batch=1019, step=7020, lr=0.171000, batch loss=0.331344, epoch loss=4.390133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180722, epoch loss=4.570855 Batch=1139, step=7140, lr=0.170500, batch loss=0.216819, epoch loss=4.787673 Batch=1199, step=7200, lr=0.170250, batch loss=0.182228, epoch loss=4.969902 Epoch=5, step=7200, lr=0.170250, epoch loss=4.969902 Batch=59, step=7260, lr=0.170000, batch loss=0.240232, epoch loss=0.240232 Batch=119, step=7320, lr=0.169750, batch loss=0.179704, epoch loss=0.419936 Batch=179, step=7380, lr=0.169500, batch loss=0.195238, epoch loss=0.615174 Batch=239, step=7440, lr=0.169250, batch loss=0.292319, epoch loss=0.907493 Batch=299, step=7500, lr=0.169000, batch loss=0.207782, epoch loss=1.115275 Batch=359, step=7560, lr=0.168750, batch loss=0.261338, epoch loss=1.376613 Batch=419, step=7620, lr=0.168500, batch loss=0.253829, epoch loss=1.630442 Batch=479, step=7680, lr=0.168250, batch loss=0.232235, epoch loss=1.862676 Batch=539, step=7740, lr=0.168000, batch loss=0.185175, epoch loss=2.047851 Batch=599, step=7800, lr=0.167750, batch loss=0.227558, epoch loss=2.275410 Batch=659, step=7860, lr=0.167500, batch loss=0.304078, epoch loss=2.579488 Batch=719, step=7920, lr=0.167250, batch loss=0.308513, epoch loss=2.888001 Batch=779, step=7980, lr=0.166750, batch loss=0.324981, epoch loss=3.212982 Batch=839, step=8040, lr=0.166750, batch loss=0.293991, epoch loss=3.506973 Batch=899, step=8100, lr=0.166250, batch loss=0.261082, epoch loss=3.768056 Batch=959, step=8160, lr=0.166000, batch loss=0.202679, epoch loss=3.970734 Batch=1019, step=8220, lr=0.166000, batch loss=0.321389, epoch loss=4.292123 Batch=1079, step=8280, lr=0.165750, batch loss=0.184377, epoch loss=4.476500 Batch=1139, step=8340, lr=0.165500, batch loss=0.213447, epoch loss=4.689948 Batch=1199, step=8400, lr=0.165250, batch loss=0.172106, epoch loss=4.862054 Epoch=6, step=8400, lr=0.165250, epoch loss=4.862054 Batch=59, step=8460, lr=0.165000, batch loss=0.210675, epoch loss=0.210675 Batch=119, step=8520, lr=0.164750, batch loss=0.172747, epoch loss=0.383422 Batch=179, step=8580, lr=0.164500, batch loss=0.187804, epoch loss=0.571226 Batch=239, step=8640, lr=0.164250, batch loss=0.276899, epoch loss=0.848125 Batch=299, step=8700, lr=0.164000, batch loss=0.192460, epoch loss=1.040585 Batch=359, step=8760, lr=0.163750, batch loss=0.249474, epoch loss=1.290059 Batch=419, step=8820, lr=0.163500, batch loss=0.243864, epoch loss=1.533923 Batch=479, step=8880, lr=0.163250, batch loss=0.229528, epoch loss=1.763451 Batch=539, step=8940, lr=0.163000, batch loss=0.176852, epoch loss=1.940303 Batch=599, step=9000, lr=0.162750, batch loss=0.218946, epoch loss=2.159249 Batch=659, step=9060, lr=0.162500, batch loss=0.293224, epoch loss=2.452473 Batch=719, step=9120, lr=0.162250, batch loss=0.297451, epoch loss=2.749924 Batch=779, step=9180, lr=0.162000, batch loss=0.314183, epoch loss=3.064107 Batch=839, step=9240, lr=0.161750, batch loss=0.281868, epoch loss=3.345975 Batch=899, step=9300, lr=0.161500, batch loss=0.252384, epoch loss=3.598359 Batch=959, step=9360, lr=0.161250, batch loss=0.187656, epoch loss=3.786015 Batch=1019, step=9420, lr=0.161000, batch loss=0.318498, epoch loss=4.104513 Batch=1079, step=9480, lr=0.160750, batch loss=0.184812, epoch loss=4.289325 Batch=1139, step=9540, lr=0.160500, batch loss=0.207306, epoch loss=4.496632 Batch=1199, step=9600, lr=0.160250, batch loss=0.166121, epoch loss=4.662753 Epoch=7, step=9600, lr=0.160250, epoch loss=4.662753 Batch=59, step=9660, lr=0.160000, batch loss=0.200761, epoch loss=0.200761 Batch=119, step=9720, lr=0.159500, batch loss=0.162788, epoch loss=0.363550 Batch=179, step=9780, lr=0.159250, batch loss=0.178717, epoch loss=0.542267 Batch=239, step=9840, lr=0.159000, batch loss=0.260237, epoch loss=0.802504 Batch=299, step=9900, lr=0.159000, batch loss=0.178680, epoch loss=0.981184 Batch=359, step=9960, lr=0.158500, batch loss=0.233836, epoch loss=1.215021 Batch=419, step=10020, lr=0.158500, batch loss=0.230705, epoch loss=1.445726 Batch=479, step=10080, lr=0.158250, batch loss=0.212573, epoch loss=1.658299 Batch=539, step=10140, lr=0.158000, batch loss=0.170828, epoch loss=1.829127 Batch=599, step=10200, lr=0.157750, batch loss=0.200879, epoch loss=2.030006 Batch=659, step=10260, lr=0.157500, batch loss=0.280872, epoch loss=2.310877 Batch=719, step=10320, lr=0.157250, batch loss=0.279110, epoch loss=2.589987 Batch=779, step=10380, lr=0.157000, batch loss=0.299460, epoch loss=2.889447 Batch=839, step=10440, lr=0.156750, batch loss=0.270486, epoch loss=3.159933 Batch=899, step=10500, lr=0.156500, batch loss=0.239648, epoch loss=3.399581 Batch=959, step=10560, lr=0.156250, batch loss=0.197691, epoch loss=3.597271 Batch=1019, step=10620, lr=0.155750, batch loss=0.277196, epoch loss=3.874468 Batch=1079, step=10680, lr=0.155750, batch loss=0.150754, epoch loss=4.025221 Batch=1139, step=10740, lr=0.155250, batch loss=0.180045, epoch loss=4.205266 Batch=1199, step=10800, lr=0.155250, batch loss=0.163635, epoch loss=4.368901 Epoch=8, step=10800, lr=0.155250, epoch loss=4.368901 Batch=59, step=10860, lr=0.155000, batch loss=0.192356, epoch loss=0.192356 Batch=119, step=10920, lr=0.154500, batch loss=0.163052, epoch loss=0.355408 Batch=179, step=10980, lr=0.154250, batch loss=0.165649, epoch loss=0.521057 Batch=239, step=11040, lr=0.154000, batch loss=0.242754, epoch loss=0.763811 Batch=299, step=11100, lr=0.154000, batch loss=0.165938, epoch loss=0.929749 Batch=359, step=11160, lr=0.153750, batch loss=0.222536, epoch loss=1.152285 Batch=419, step=11220, lr=0.153250, batch loss=0.229561, epoch loss=1.381846 Batch=479, step=11280, lr=0.153000, batch loss=0.202092, epoch loss=1.583938 Batch=539, step=11340, lr=0.153000, batch loss=0.160947, epoch loss=1.744884 Batch=599, step=11400, lr=0.152500, batch loss=0.184071, epoch loss=1.928955 Batch=659, step=11460, lr=0.152500, batch loss=0.260962, epoch loss=2.189917 Batch=719, step=11520, lr=0.152250, batch loss=0.251748, epoch loss=2.441665 Batch=779, step=11580, lr=0.151750, batch loss=0.268893, epoch loss=2.710558 Batch=839, step=11640, lr=0.151500, batch loss=0.255845, epoch loss=2.966403 Batch=899, step=11700, lr=0.151250, batch loss=0.231152, epoch loss=3.197555 Batch=959, step=11760, lr=0.151000, batch loss=0.167282, epoch loss=3.364837 Batch=1019, step=11820, lr=0.150750, batch loss=0.263265, epoch loss=3.628102 Batch=1079, step=11880, lr=0.150750, batch loss=0.135939, epoch loss=3.764041 Batch=1139, step=11940, lr=0.150500, batch loss=0.162009, epoch loss=3.926050 Batch=1199, step=12000, lr=0.150250, batch loss=0.138361, epoch loss=4.064411 Epoch=9, step=12000, lr=0.150250, epoch loss=4.064411 Batch=59, step=12060, lr=0.149750, batch loss=0.161983, epoch loss=0.161983 Batch=119, step=12120, lr=0.149500, batch loss=0.142748, epoch loss=0.304731 Batch=179, step=12180, lr=0.149500, batch loss=0.148639, epoch loss=0.453369 Batch=239, step=12240, lr=0.149250, batch loss=0.215038, epoch loss=0.668408 Batch=299, step=12300, lr=0.149000, batch loss=0.145908, epoch loss=0.814316 Batch=359, step=12360, lr=0.148750, batch loss=0.193522, epoch loss=1.007838 Batch=419, step=12420, lr=0.148500, batch loss=0.207616, epoch loss=1.215454 Batch=479, step=12480, lr=0.148250, batch loss=0.176874, epoch loss=1.392328 Batch=539, step=12540, lr=0.148000, batch loss=0.143403, epoch loss=1.535731 Batch=599, step=12600, lr=0.147500, batch loss=0.148416, epoch loss=1.684147 Batch=659, step=12660, lr=0.147250, batch loss=0.224560, epoch loss=1.908708 Batch=719, step=12720, lr=0.147250, batch loss=0.227182, epoch loss=2.135890 Batch=779, step=12780, lr=0.146750, batch loss=0.258125, epoch loss=2.394015 Batch=839, step=12840, lr=0.146500, batch loss=0.231723, epoch loss=2.625737 Batch=899, step=12900, lr=0.146250, batch loss=0.226850, epoch loss=2.852587 Batch=959, step=12960, lr=0.146250, batch loss=0.140938, epoch loss=2.993525 Batch=1019, step=13020, lr=0.146000, batch loss=0.231199, epoch loss=3.224724 Batch=1079, step=13080, lr=0.145750, batch loss=0.104588, epoch loss=3.329313 Batch=1139, step=13140, lr=0.145500, batch loss=0.140584, epoch loss=3.469897 Batch=1199, step=13200, lr=0.145250, batch loss=0.121435, epoch loss=3.591332 Epoch=10, step=13200, lr=0.145250, epoch loss=3.591332 Batch=59, step=13260, lr=0.145000, batch loss=0.154716, epoch loss=0.154716 Batch=119, step=13320, lr=0.144500, batch loss=0.126625, epoch loss=0.281342 Batch=179, step=13380, lr=0.144250, batch loss=0.127081, epoch loss=0.408423 Batch=239, step=13440, lr=0.144000, batch loss=0.187919, epoch loss=0.596342 Batch=299, step=13500, lr=0.144000, batch loss=0.118748, epoch loss=0.715090 Batch=359, step=13560, lr=0.143750, batch loss=0.160093, epoch loss=0.875183 Batch=419, step=13620, lr=0.143500, batch loss=0.159241, epoch loss=1.034423 Batch=479, step=13680, lr=0.143000, batch loss=0.146711, epoch loss=1.181134 Batch=539, step=13740, lr=0.143000, batch loss=0.116797, epoch loss=1.297931 Batch=599, step=13800, lr=0.142750, batch loss=0.118687, epoch loss=1.416618 Batch=659, step=13860, lr=0.142500, batch loss=0.174005, epoch loss=1.590624 Batch=719, step=13920, lr=0.142250, batch loss=0.170675, epoch loss=1.761299 Batch=779, step=13980, lr=0.142000, batch loss=0.185704, epoch loss=1.947002 Batch=839, step=14040, lr=0.141750, batch loss=0.194210, epoch loss=2.141212 Batch=899, step=14100, lr=0.141500, batch loss=0.206782, epoch loss=2.347995 Batch=959, step=14160, lr=0.141250, batch loss=0.110139, epoch loss=2.458133 Batch=1019, step=14220, lr=0.141000, batch loss=0.196551, epoch loss=2.654684 Batch=1079, step=14280, lr=0.140750, batch loss=0.077989, epoch loss=2.732673 Batch=1139, step=14340, lr=0.140250, batch loss=0.127403, epoch loss=2.860076 Batch=1199, step=14400, lr=0.140000, batch loss=0.085392, epoch loss=2.945468 Epoch=11, step=14400, lr=0.140000, epoch loss=2.945468 Batch=59, step=14460, lr=0.140000, batch loss=0.100488, epoch loss=0.100488 Batch=119, step=14520, lr=0.139500, batch loss=0.099448, epoch loss=0.199936 Batch=179, step=14580, lr=0.139500, batch loss=0.097146, epoch loss=0.297082 Batch=239, step=14640, lr=0.139250, batch loss=0.140767, epoch loss=0.437849 Batch=299, step=14700, lr=0.138750, batch loss=0.091430, epoch loss=0.529279 Batch=359, step=14760, lr=0.138750, batch loss=0.144255, epoch loss=0.673534 Batch=419, step=14820, lr=0.138500, batch loss=0.210647, epoch loss=0.884181 Batch=479, step=14880, lr=0.138250, batch loss=0.089638, epoch loss=0.973820 Batch=539, step=14940, lr=0.137750, batch loss=0.071330, epoch loss=1.045150 Batch=599, step=15000, lr=0.137500, batch loss=0.099754, epoch loss=1.144903 Batch=659, step=15060, lr=0.137500, batch loss=0.127320, epoch loss=1.272223 Batch=719, step=15120, lr=0.137250, batch loss=0.125145, epoch loss=1.397368 Batch=779, step=15180, lr=0.137000, batch loss=0.154351, epoch loss=1.551719 Batch=839, step=15240, lr=0.136750, batch loss=0.146831, epoch loss=1.698551 Batch=899, step=15300, lr=0.136500, batch loss=0.146561, epoch loss=1.845112 Batch=959, step=15360, lr=0.136250, batch loss=0.090011, epoch loss=1.935122 Batch=1019, step=15420, lr=0.136000, batch loss=0.168484, epoch loss=2.103606 Batch=1079, step=15480, lr=0.135750, batch loss=0.046132, epoch loss=2.149738 Batch=1139, step=15540, lr=0.135500, batch loss=0.101708, epoch loss=2.251446 Batch=1199, step=15600, lr=0.135250, batch loss=0.056120, epoch loss=2.307566 Epoch=12, step=15600, lr=0.135250, epoch loss=2.307566 Batch=59, step=15660, lr=0.135000, batch loss=0.075124, epoch loss=0.075124 Batch=119, step=15720, lr=0.134500, batch loss=0.121493, epoch loss=0.196617 Batch=179, step=15780, lr=0.134500, batch loss=0.089269, epoch loss=0.285886 Batch=239, step=15840, lr=0.134250, batch loss=0.091137, epoch loss=0.377023 Batch=299, step=15900, lr=0.134000, batch loss=0.039093, epoch loss=0.416116 Batch=359, step=15960, lr=0.133750, batch loss=0.080359, epoch loss=0.496474 Batch=419, step=16020, lr=0.133500, batch loss=0.077800, epoch loss=0.574274 Batch=479, step=16080, lr=0.133250, batch loss=0.058017, epoch loss=0.632292 Batch=539, step=16140, lr=0.133000, batch loss=0.067472, epoch loss=0.699763 Batch=599, step=16200, lr=0.132750, batch loss=0.157587, epoch loss=0.857350 Batch=659, step=16260, lr=0.132250, batch loss=0.088684, epoch loss=0.946034 Batch=719, step=16320, lr=0.132000, batch loss=0.122102, epoch loss=1.068136 Batch=779, step=16380, lr=0.131750, batch loss=0.293978, epoch loss=1.362113 Batch=839, step=16440, lr=0.131500, batch loss=0.090348, epoch loss=1.452462 Batch=899, step=16500, lr=0.131250, batch loss=0.076215, epoch loss=1.528677 Batch=959, step=16560, lr=0.131000, batch loss=0.031110, epoch loss=1.559787 Batch=1019, step=16620, lr=0.130750, batch loss=0.057876, epoch loss=1.617664 Batch=1079, step=16680, lr=0.130750, batch loss=0.059811, epoch loss=1.677474 Batch=1139, step=16740, lr=0.130500, batch loss=0.117674, epoch loss=1.795149 Batch=1199, step=16800, lr=0.130250, batch loss=0.054507, epoch loss=1.849656 Epoch=13, step=16800, lr=0.130250, epoch loss=1.849656 Batch=59, step=16860, lr=0.130000, batch loss=0.032238, epoch loss=0.032238 Batch=119, step=16920, lr=0.129500, batch loss=0.033103, epoch loss=0.065341 Batch=179, step=16980, lr=0.129500, batch loss=0.042942, epoch loss=0.108282 Batch=239, step=17040, lr=0.129250, batch loss=0.058977, epoch loss=0.167259 Batch=299, step=17100, lr=0.129000, batch loss=0.020756, epoch loss=0.188015 Batch=359, step=17160, lr=0.128500, batch loss=0.046417, epoch loss=0.234432 Batch=419, step=17220, lr=0.128250, batch loss=0.083124, epoch loss=0.317556 Batch=479, step=17280, lr=0.128250, batch loss=0.024834, epoch loss=0.342391 Batch=539, step=17340, lr=0.127750, batch loss=0.033165, epoch loss=0.375555 Batch=599, step=17400, lr=0.127500, batch loss=0.034674, epoch loss=0.410229 Batch=659, step=17460, lr=0.127500, batch loss=0.044760, epoch loss=0.454989 Batch=719, step=17520, lr=0.127000, batch loss=0.038210, epoch loss=0.493199 Batch=779, step=17580, lr=0.127000, batch loss=0.038696, epoch loss=0.531896 Batch=839, step=17640, lr=0.126500, batch loss=0.055547, epoch loss=0.587443 Batch=899, step=17700, lr=0.126500, batch loss=0.061069, epoch loss=0.648512 Batch=959, step=17760, lr=0.126250, batch loss=0.034102, epoch loss=0.682613 Batch=1019, step=17820, lr=0.126000, batch loss=0.084209, epoch loss=0.766822 Batch=1079, step=17880, lr=0.125750, batch loss=0.022299, epoch loss=0.789121 Batch=1139, step=17940, lr=0.125500, batch loss=0.049396, epoch loss=0.838517 Batch=1199, step=18000, lr=0.125250, batch loss=0.020715, epoch loss=0.859232 Epoch=14, step=18000, lr=0.125250, epoch loss=0.859232 Batch=59, step=18060, lr=0.125000, batch loss=0.011203, epoch loss=0.011203 Batch=119, step=18120, lr=0.124750, batch loss=0.018378, epoch loss=0.029581 Batch=179, step=18180, lr=0.124250, batch loss=0.030951, epoch loss=0.060532 Batch=239, step=18240, lr=0.124250, batch loss=0.035395, epoch loss=0.095928 Batch=299, step=18300, lr=0.124000, batch loss=0.020362, epoch loss=0.116289 Batch=359, step=18360, lr=0.123750, batch loss=0.023150, epoch loss=0.139439 Batch=419, step=18420, lr=0.123500, batch loss=0.030645, epoch loss=0.170084 Batch=479, step=18480, lr=0.123250, batch loss=0.022743, epoch loss=0.192827 Batch=539, step=18540, lr=0.123000, batch loss=0.045230, epoch loss=0.238057 Batch=599, step=18600, lr=0.122750, batch loss=0.025816, epoch loss=0.263873 Batch=659, step=18660, lr=0.122500, batch loss=0.033157, epoch loss=0.297030 Batch=719, step=18720, lr=0.122000, batch loss=0.028479, epoch loss=0.325509 Batch=779, step=18780, lr=0.122000, batch loss=0.087733, epoch loss=0.413243 Batch=839, step=18840, lr=0.121500, batch loss=0.077636, epoch loss=0.490879 Batch=899, step=18900, lr=0.121500, batch loss=0.119413, epoch loss=0.610291 Batch=959, step=18960, lr=0.121250, batch loss=0.015405, epoch loss=0.625696 Batch=1019, step=19020, lr=0.121000, batch loss=0.023188, epoch loss=0.648885 Batch=1079, step=19080, lr=0.120750, batch loss=0.004082, epoch loss=0.652966 Batch=1139, step=19140, lr=0.120500, batch loss=0.020397, epoch loss=0.673363 Batch=1199, step=19200, lr=0.120250, batch loss=0.009634, epoch loss=0.682997 Epoch=15, step=19200, lr=0.120250, epoch loss=0.682997 Batch=59, step=19260, lr=0.120000, batch loss=0.004041, epoch loss=0.004041 Batch=119, step=19320, lr=0.119750, batch loss=0.012362, epoch loss=0.016403 Batch=179, step=19380, lr=0.119500, batch loss=0.030728, epoch loss=0.047131 Batch=239, step=19440, lr=0.119250, batch loss=0.022401, epoch loss=0.069532 Batch=299, step=19500, lr=0.118750, batch loss=0.006819, epoch loss=0.076352 Batch=359, step=19560, lr=0.118750, batch loss=0.016423, epoch loss=0.092775 Batch=419, step=19620, lr=0.118500, batch loss=0.019297, epoch loss=0.112072 Batch=479, step=19680, lr=0.118000, batch loss=0.008489, epoch loss=0.120561 Batch=539, step=19740, lr=0.118000, batch loss=0.016226, epoch loss=0.136787 Batch=599, step=19800, lr=0.117500, batch loss=0.023339, epoch loss=0.160126 Batch=659, step=19860, lr=0.117500, batch loss=0.019410, epoch loss=0.179536 Batch=719, step=19920, lr=0.117250, batch loss=0.052859, epoch loss=0.232395 Batch=779, step=19980, lr=0.117000, batch loss=0.077337, epoch loss=0.309732 Batch=839, step=20040, lr=0.116750, batch loss=0.030355, epoch loss=0.340087 Batch=899, step=20100, lr=0.116250, batch loss=0.028645, epoch loss=0.368732 Batch=959, step=20160, lr=0.116250, batch loss=0.019246, epoch loss=0.387977 Batch=1019, step=20220, lr=0.116000, batch loss=0.020821, epoch loss=0.408799 Batch=1079, step=20280, lr=0.115500, batch loss=0.002948, epoch loss=0.411747 Batch=1139, step=20340, lr=0.115500, batch loss=0.014693, epoch loss=0.426440 Batch=1199, step=20400, lr=0.115250, batch loss=0.005746, epoch loss=0.432186 Epoch=16, step=20400, lr=0.115250, epoch loss=0.432186 Batch=59, step=20460, lr=0.115000, batch loss=0.002492, epoch loss=0.002492 Batch=119, step=20520, lr=0.114750, batch loss=0.010237, epoch loss=0.012729 Batch=179, step=20580, lr=0.114500, batch loss=0.025159, epoch loss=0.037888 Batch=239, step=20640, lr=0.114250, batch loss=0.014390, epoch loss=0.052278 Batch=299, step=20700, lr=0.113750, batch loss=0.004190, epoch loss=0.056468 Batch=359, step=20760, lr=0.113500, batch loss=0.014095, epoch loss=0.070563 Batch=419, step=20820, lr=0.113500, batch loss=0.014443, epoch loss=0.085007 Batch=479, step=20880, lr=0.113250, batch loss=0.003981, epoch loss=0.088987 Batch=539, step=20940, lr=0.113000, batch loss=0.015957, epoch loss=0.104944 Batch=599, step=21000, lr=0.112750, batch loss=0.017430, epoch loss=0.122374 Batch=659, step=21060, lr=0.112500, batch loss=0.013591, epoch loss=0.135965 Batch=719, step=21120, lr=0.112250, batch loss=0.027497, epoch loss=0.163463 Batch=779, step=21180, lr=0.112000, batch loss=0.049137, epoch loss=0.212600 Batch=839, step=21240, lr=0.111750, batch loss=0.025252, epoch loss=0.237852 Batch=899, step=21300, lr=0.111500, batch loss=0.023173, epoch loss=0.261025 Batch=959, step=21360, lr=0.111250, batch loss=0.012564, epoch loss=0.273589 Batch=1019, step=21420, lr=0.111000, batch loss=0.015632, epoch loss=0.289221 Batch=1079, step=21480, lr=0.110750, batch loss=0.000540, epoch loss=0.289761 Batch=1139, step=21540, lr=0.110500, batch loss=0.013361, epoch loss=0.303122 Batch=1199, step=21600, lr=0.110250, batch loss=0.005404, epoch loss=0.308526 Epoch=17, step=21600, lr=0.110250, epoch loss=0.308526 Batch=59, step=21660, lr=0.110000, batch loss=0.002718, epoch loss=0.002718 Batch=119, step=21720, lr=0.109750, batch loss=0.006461, epoch loss=0.009179 Batch=179, step=21780, lr=0.109500, batch loss=0.011659, epoch loss=0.020837 Batch=239, step=21840, lr=0.109250, batch loss=0.009087, epoch loss=0.029924 Batch=299, step=21900, lr=0.109000, batch loss=0.008245, epoch loss=0.038169 Batch=359, step=21960, lr=0.108750, batch loss=0.015075, epoch loss=0.053243 Batch=419, step=22020, lr=0.108500, batch loss=0.011946, epoch loss=0.065190 Batch=479, step=22080, lr=0.108250, batch loss=0.002702, epoch loss=0.067892 Batch=539, step=22140, lr=0.108000, batch loss=0.017701, epoch loss=0.085592 Batch=599, step=22200, lr=0.107750, batch loss=0.015159, epoch loss=0.100752 Batch=659, step=22260, lr=0.107250, batch loss=0.011204, epoch loss=0.111956 Batch=719, step=22320, lr=0.107250, batch loss=0.017085, epoch loss=0.129041 Batch=779, step=22380, lr=0.107000, batch loss=0.024549, epoch loss=0.153591 Batch=839, step=22440, lr=0.106750, batch loss=0.026352, epoch loss=0.179942 Batch=899, step=22500, lr=0.106500, batch loss=0.025682, epoch loss=0.205624 Batch=959, step=22560, lr=0.106000, batch loss=0.008905, epoch loss=0.214529 Batch=1019, step=22620, lr=0.106000, batch loss=0.008056, epoch loss=0.222585 Batch=1079, step=22680, lr=0.105750, batch loss=0.001274, epoch loss=0.223859 Batch=1139, step=22740, lr=0.105250, batch loss=0.011178, epoch loss=0.235037 Batch=1199, step=22800, lr=0.105250, batch loss=0.005078, epoch loss=0.240115 Epoch=18, step=22800, lr=0.105250, epoch loss=0.240115 Batch=59, step=22860, lr=0.105000, batch loss=0.002270, epoch loss=0.002270 Batch=119, step=22920, lr=0.104750, batch loss=0.005401, epoch loss=0.007671 Batch=179, step=22980, lr=0.104500, batch loss=0.010750, epoch loss=0.018421 Batch=239, step=23040, lr=0.104250, batch loss=0.008735, epoch loss=0.027156 Batch=299, step=23100, lr=0.104000, batch loss=0.001177, epoch loss=0.028333 Batch=359, step=23160, lr=0.103750, batch loss=0.011657, epoch loss=0.039990 Batch=419, step=23220, lr=0.103500, batch loss=0.010516, epoch loss=0.050506 Batch=479, step=23280, lr=0.103250, batch loss=0.004022, epoch loss=0.054528 Batch=539, step=23340, lr=0.103000, batch loss=0.013934, epoch loss=0.068462 Batch=599, step=23400, lr=0.102750, batch loss=0.014277, epoch loss=0.082739 Batch=659, step=23460, lr=0.102250, batch loss=0.013132, epoch loss=0.095871 Batch=719, step=23520, lr=0.102000, batch loss=0.014483, epoch loss=0.110354 Batch=779, step=23580, lr=0.101750, batch loss=0.021962, epoch loss=0.132316 Batch=839, step=23640, lr=0.101750, batch loss=0.025010, epoch loss=0.157326 Batch=899, step=23700, lr=0.101500, batch loss=0.022604, epoch loss=0.179930 Batch=959, step=23760, lr=0.101250, batch loss=0.008193, epoch loss=0.188123 Batch=1019, step=23820, lr=0.100750, batch loss=0.007720, epoch loss=0.195843 Batch=1079, step=23880, lr=0.100750, batch loss=0.000571, epoch loss=0.196414 Batch=1139, step=23940, lr=0.100500, batch loss=0.008915, epoch loss=0.205329 Batch=1199, step=24000, lr=0.100250, batch loss=0.004370, epoch loss=0.209699 Epoch=19, step=24000, lr=0.100250, epoch loss=0.209699 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:56.21 ---> saved as "8c1504050ba5284655ede4f995c02e25e75bde66cee1141fe820a34cee86444a" Job succeeded 2025-03-21 14:56.22: Job succeeded