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-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 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-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 # ubuntu-24.04-5.3_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-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) (comment ubuntu-24.04-5.3_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 14:49.02: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-21 14:49.02 ---> using "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" from cache /: (comment ubuntu-24.04-5.3_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 14:49.02 ---> using "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 255 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=255 --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 14:49.02 ---> using "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" from cache /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 14:49.02 ---> using "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:49.02 ---> using "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" 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..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 14:50.15 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:50.15 ---> saved as "940d474abf2849215e847200ba064d0fc61355e3af095775ce641679542dce8a" /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 14:50.22 ---> saved as "bf7ed5143891e6898c32547d9d05a2f8eab0d2d7bd65edee61534692dfeea77d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:50.22 ---> saved as "ee723431bb7c77d4113dc23cf793f897c44132a8bbfa0d041394a281878b0552" /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 noble InRelease - Get:2 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:3 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Get:6 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:7 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:8 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1351 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [16.5 kB] - Fetched 6698 kB in 1s (8468 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 ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - 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 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-03-21 14:50.54 ---> saved as "3c2bd7aecb5c86d840b9a63a5f3bc860e8a6e04dcc0a33d6be3a9b3e19f4539f" /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 ocaml-compiler-libs.v0.17.0 (cached) -> retrieved num.1.5-1 (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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved ppxlib.0.35.0 (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-compiler-libs.v0.17.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed cppo.1.8.0 -> 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> 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_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:53.12 ---> saved as "84d9a5630f01f5c5f0932552692517a76658d4c0015cf15daedc762eeca56a2d" /src: (copy (src .) (dst /src)) 2025-03-21 14:53.13 ---> saved as "d1f869d98a58bb394d64fcf65e7a485d1cbe887d7729c9c4f56580e8d5c053c7" /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/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/1d42ccb93ab377b5dbe0aee8bf3c4135/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6534c964b9a863872d3fe278a06cdaa8/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/6534c964b9a863872d3fe278a06cdaa8/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=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198500, batch loss=1.330503, epoch loss=38.401201 Batch=419, step=420, lr=0.198500, batch loss=0.617268, epoch loss=39.018469 Batch=479, step=480, lr=0.198250, batch loss=0.807463, epoch loss=39.825932 Batch=539, step=540, lr=0.197750, batch loss=0.689518, epoch loss=40.515451 Batch=599, step=600, lr=0.197750, batch loss=1.071013, epoch loss=41.586463 Batch=659, step=660, lr=0.197250, batch loss=0.483082, epoch loss=42.069546 Batch=719, step=720, lr=0.197000, batch loss=0.411311, epoch loss=42.480857 Batch=779, step=780, lr=0.196750, batch loss=0.468892, epoch loss=42.949749 Batch=839, step=840, lr=0.196500, batch loss=0.443378, epoch loss=43.393127 Batch=899, step=900, lr=0.196250, batch loss=0.384046, epoch loss=43.777173 Batch=959, step=960, lr=0.196000, batch loss=0.238211, epoch loss=44.015385 Batch=1019, step=1020, lr=0.195750, batch loss=0.440714, epoch loss=44.456098 Batch=1079, step=1080, lr=0.195500, batch loss=0.230414, epoch loss=44.686513 Batch=1139, step=1140, lr=0.195250, batch loss=0.315602, epoch loss=45.002114 Batch=1199, step=1200, lr=0.195000, batch loss=0.263889, epoch loss=45.266004 Epoch=0, step=1200, lr=0.195000, epoch loss=45.266004 Batch=59, step=1260, lr=0.194750, batch loss=0.263102, epoch loss=0.263102 Batch=119, step=1320, lr=0.194500, batch loss=0.211327, epoch loss=0.474428 Batch=179, step=1380, lr=0.194250, batch loss=0.247270, epoch loss=0.721698 Batch=239, step=1440, lr=0.194000, batch loss=0.353353, epoch loss=1.075051 Batch=299, step=1500, lr=0.193750, batch loss=0.239059, epoch loss=1.314110 Batch=359, step=1560, lr=0.193750, batch loss=0.312386, epoch loss=1.626496 Batch=419, step=1620, lr=0.193250, batch loss=0.309803, epoch loss=1.936299 Batch=479, step=1680, lr=0.193000, batch loss=0.276491, epoch loss=2.212790 Batch=539, step=1740, lr=0.192750, batch loss=0.212384, epoch loss=2.425174 Batch=599, step=1800, lr=0.192500, batch loss=0.253024, epoch loss=2.678198 Batch=659, step=1860, lr=0.192250, batch loss=0.367491, epoch loss=3.045689 Batch=719, step=1920, lr=0.192250, batch loss=0.366523, epoch loss=3.412212 Batch=779, step=1980, lr=0.191750, batch loss=0.382458, epoch loss=3.794670 Batch=839, step=2040, lr=0.191500, batch loss=0.343242, epoch loss=4.137912 Batch=899, step=2100, lr=0.191250, batch loss=0.309851, epoch loss=4.447762 Batch=959, step=2160, lr=0.191000, batch loss=0.234889, epoch loss=4.682651 Batch=1019, step=2220, lr=0.190750, batch loss=0.358762, epoch loss=5.041413 Batch=1079, step=2280, lr=0.190750, batch loss=0.237604, epoch loss=5.279016 Batch=1139, step=2340, lr=0.190500, batch loss=0.285474, epoch loss=5.564490 Batch=1199, step=2400, lr=0.190250, batch loss=0.218406, epoch loss=5.782896 Epoch=1, step=2400, lr=0.190250, epoch loss=5.782896 Batch=59, step=2460, lr=0.190000, batch loss=0.230817, epoch loss=0.230817 Batch=119, step=2520, lr=0.189500, batch loss=0.187131, epoch loss=0.417948 Batch=179, step=2580, lr=0.189500, batch loss=0.222767, epoch loss=0.640715 Batch=239, step=2640, lr=0.189250, batch loss=0.339313, epoch loss=0.980028 Batch=299, step=2700, lr=0.188750, batch loss=0.219654, epoch loss=1.199681 Batch=359, step=2760, lr=0.188750, batch loss=0.296928, epoch loss=1.496610 Batch=419, step=2820, lr=0.188250, batch loss=0.286026, epoch loss=1.782635 Batch=479, step=2880, lr=0.188250, batch loss=0.261071, epoch loss=2.043707 Batch=539, step=2940, lr=0.188000, batch loss=0.196384, epoch loss=2.240091 Batch=599, step=3000, lr=0.187500, batch loss=0.240500, epoch loss=2.480590 Batch=659, step=3060, lr=0.187500, batch loss=0.348786, epoch loss=2.829376 Batch=719, step=3120, lr=0.187250, batch loss=0.348991, epoch loss=3.178367 Batch=779, step=3180, lr=0.187000, batch loss=0.365308, epoch loss=3.543675 Batch=839, step=3240, lr=0.186750, batch loss=0.325213, epoch loss=3.868888 Batch=899, step=3300, lr=0.186250, batch loss=0.290574, epoch loss=4.159461 Batch=959, step=3360, lr=0.186250, batch loss=0.210632, epoch loss=4.370093 Batch=1019, step=3420, lr=0.185750, batch loss=0.309263, epoch loss=4.679355 Batch=1079, step=3480, lr=0.185750, batch loss=0.181978, epoch loss=4.861333 Batch=1139, step=3540, lr=0.185250, batch loss=0.232731, epoch loss=5.094063 Batch=1199, step=3600, lr=0.185000, batch loss=0.198658, epoch loss=5.292722 Epoch=2, step=3600, lr=0.185000, epoch loss=5.292722 Batch=59, step=3660, lr=0.185000, batch loss=0.226685, epoch loss=0.226685 Batch=119, step=3720, lr=0.184750, batch loss=0.195540, epoch loss=0.422225 Batch=179, step=3780, lr=0.184250, batch loss=0.211978, epoch loss=0.634203 Batch=239, step=3840, lr=0.184000, batch loss=0.315980, epoch loss=0.950183 Batch=299, step=3900, lr=0.183750, batch loss=0.207205, epoch loss=1.157388 Batch=359, step=3960, lr=0.183500, batch loss=0.287637, epoch loss=1.445025 Batch=419, step=4020, lr=0.183250, batch loss=0.275053, epoch loss=1.720079 Batch=479, step=4080, lr=0.183250, batch loss=0.260092, epoch loss=1.980171 Batch=539, step=4140, lr=0.183000, batch loss=0.195849, epoch loss=2.176019 Batch=599, step=4200, lr=0.182750, batch loss=0.229897, epoch loss=2.405916 Batch=659, step=4260, lr=0.182500, batch loss=0.331319, epoch loss=2.737235 Batch=719, step=4320, lr=0.182250, batch loss=0.342233, epoch loss=3.079468 Batch=779, step=4380, lr=0.182000, batch loss=0.350485, epoch loss=3.429953 Batch=839, step=4440, lr=0.181750, batch loss=0.318936, epoch loss=3.748888 Batch=899, step=4500, lr=0.181500, batch loss=0.291634, epoch loss=4.040522 Batch=959, step=4560, lr=0.181250, batch loss=0.257243, epoch loss=4.297766 Batch=1019, step=4620, lr=0.180750, batch loss=0.364588, epoch loss=4.662354 Batch=1079, step=4680, lr=0.180500, batch loss=0.205383, epoch loss=4.867736 Batch=1139, step=4740, lr=0.180250, batch loss=0.243556, epoch loss=5.111292 Batch=1199, step=4800, lr=0.180000, batch loss=0.192533, epoch loss=5.303825 Epoch=3, step=4800, lr=0.180000, epoch loss=5.303825 Batch=59, step=4860, lr=0.180000, batch loss=0.224532, epoch loss=0.224532 Batch=119, step=4920, lr=0.179750, batch loss=0.186741, epoch loss=0.411273 Batch=179, step=4980, lr=0.179250, batch loss=0.205940, epoch loss=0.617213 Batch=239, step=5040, lr=0.179250, batch loss=0.307696, epoch loss=0.924909 Batch=299, step=5100, lr=0.178750, batch loss=0.202213, epoch loss=1.127122 Batch=359, step=5160, lr=0.178500, batch loss=0.273320, epoch loss=1.400441 Batch=419, step=5220, lr=0.178500, batch loss=0.264489, epoch loss=1.664930 Batch=479, step=5280, lr=0.178000, batch loss=0.240960, epoch loss=1.905890 Batch=539, step=5340, lr=0.177750, batch loss=0.190658, epoch loss=2.096548 Batch=599, step=5400, lr=0.177750, batch loss=0.230724, epoch loss=2.327272 Batch=659, step=5460, lr=0.177500, batch loss=0.324005, epoch loss=2.651277 Batch=719, step=5520, lr=0.177000, batch loss=0.325651, epoch loss=2.976928 Batch=779, step=5580, lr=0.177000, batch loss=0.340003, epoch loss=3.316931 Batch=839, step=5640, lr=0.176500, batch loss=0.313215, epoch loss=3.630146 Batch=899, step=5700, lr=0.176250, batch loss=0.275213, epoch loss=3.905359 Batch=959, step=5760, lr=0.176250, batch loss=0.213770, epoch loss=4.119130 Batch=1019, step=5820, lr=0.175750, batch loss=0.341305, epoch loss=4.460435 Batch=1079, step=5880, lr=0.175500, batch loss=0.209371, epoch loss=4.669806 Batch=1139, step=5940, lr=0.175250, batch loss=0.238546, epoch loss=4.908352 Batch=1199, step=6000, lr=0.175000, batch loss=0.186334, epoch loss=5.094686 Epoch=4, step=6000, lr=0.175000, epoch loss=5.094686 Batch=59, step=6060, lr=0.174750, batch loss=0.226864, epoch loss=0.226864 Batch=119, step=6120, lr=0.174500, batch loss=0.184148, epoch loss=0.411012 Batch=179, step=6180, lr=0.174500, batch loss=0.201495, epoch loss=0.612507 Batch=239, step=6240, lr=0.174000, batch loss=0.301077, epoch loss=0.913584 Batch=299, step=6300, lr=0.173750, batch loss=0.206629, epoch loss=1.120214 Batch=359, step=6360, lr=0.173750, batch loss=0.267517, epoch loss=1.387730 Batch=419, step=6420, lr=0.173500, batch loss=0.266986, epoch loss=1.654716 Batch=479, step=6480, lr=0.173000, batch loss=0.242818, epoch loss=1.897533 Batch=539, step=6540, lr=0.172750, batch loss=0.195727, epoch loss=2.093261 Batch=599, step=6600, lr=0.172750, batch loss=0.233942, epoch loss=2.327203 Batch=659, step=6660, lr=0.172500, batch loss=0.313349, epoch loss=2.640551 Batch=719, step=6720, lr=0.172000, batch loss=0.318521, epoch loss=2.959073 Batch=779, step=6780, lr=0.171750, batch loss=0.330595, epoch loss=3.289668 Batch=839, step=6840, lr=0.171500, batch loss=0.302959, epoch loss=3.592626 Batch=899, step=6900, lr=0.171250, batch loss=0.269606, epoch loss=3.862233 Batch=959, step=6960, lr=0.171250, batch loss=0.207808, epoch loss=4.070040 Batch=1019, step=7020, lr=0.171000, batch loss=0.330239, epoch loss=4.400279 Batch=1079, step=7080, lr=0.170750, batch loss=0.181472, epoch loss=4.581751 Batch=1139, step=7140, lr=0.170500, batch loss=0.216907, epoch loss=4.798659 Batch=1199, step=7200, lr=0.170250, batch loss=0.183044, epoch loss=4.981703 Epoch=5, step=7200, lr=0.170250, epoch loss=4.981703 Batch=59, step=7260, lr=0.170000, batch loss=0.238367, epoch loss=0.238367 Batch=119, step=7320, lr=0.169750, batch loss=0.181554, epoch loss=0.419921 Batch=179, step=7380, lr=0.169250, batch loss=0.196287, epoch loss=0.616207 Batch=239, step=7440, lr=0.169250, batch loss=0.292487, epoch loss=0.908694 Batch=299, step=7500, lr=0.169000, batch loss=0.209297, epoch loss=1.117991 Batch=359, step=7560, lr=0.168750, batch loss=0.261092, epoch loss=1.379083 Batch=419, step=7620, lr=0.168500, batch loss=0.256333, epoch loss=1.635416 Batch=479, step=7680, lr=0.168250, batch loss=0.238625, epoch loss=1.874041 Batch=539, step=7740, lr=0.167750, batch loss=0.186708, epoch loss=2.060749 Batch=599, step=7800, lr=0.167500, batch loss=0.224369, epoch loss=2.285118 Batch=659, step=7860, lr=0.167500, batch loss=0.305763, epoch loss=2.590881 Batch=719, step=7920, lr=0.167000, batch loss=0.310524, epoch loss=2.901405 Batch=779, step=7980, lr=0.167000, batch loss=0.326720, epoch loss=3.228125 Batch=839, step=8040, lr=0.166500, batch loss=0.295591, epoch loss=3.523715 Batch=899, step=8100, lr=0.166250, batch loss=0.261840, epoch loss=3.785556 Batch=959, step=8160, lr=0.166250, batch loss=0.204100, epoch loss=3.989655 Batch=1019, step=8220, lr=0.166000, batch loss=0.318474, epoch loss=4.308130 Batch=1079, step=8280, lr=0.165500, batch loss=0.169041, epoch loss=4.477171 Batch=1139, step=8340, lr=0.165250, batch loss=0.205881, epoch loss=4.683052 Batch=1199, step=8400, lr=0.165250, batch loss=0.186125, epoch loss=4.869177 Epoch=6, step=8400, lr=0.165250, epoch loss=4.869177 Batch=59, step=8460, lr=0.165000, batch loss=0.216452, epoch loss=0.216452 Batch=119, step=8520, lr=0.164500, batch loss=0.184739, epoch loss=0.401190 Batch=179, step=8580, lr=0.164250, batch loss=0.188438, epoch loss=0.589629 Batch=239, step=8640, lr=0.164250, batch loss=0.279054, epoch loss=0.868683 Batch=299, step=8700, lr=0.164000, batch loss=0.193028, epoch loss=1.061711 Batch=359, step=8760, lr=0.163500, batch loss=0.249327, epoch loss=1.311038 Batch=419, step=8820, lr=0.163250, batch loss=0.246224, epoch loss=1.557261 Batch=479, step=8880, lr=0.163000, batch loss=0.229667, epoch loss=1.786928 Batch=539, step=8940, lr=0.162750, batch loss=0.179298, epoch loss=1.966227 Batch=599, step=9000, lr=0.162500, batch loss=0.218522, epoch loss=2.184748 Batch=659, step=9060, lr=0.162250, batch loss=0.294953, epoch loss=2.479702 Batch=719, step=9120, lr=0.162250, batch loss=0.296539, epoch loss=2.776241 Batch=779, step=9180, lr=0.161750, batch loss=0.316748, epoch loss=3.092989 Batch=839, step=9240, lr=0.161500, batch loss=0.288000, epoch loss=3.380988 Batch=899, step=9300, lr=0.161500, batch loss=0.251672, epoch loss=3.632661 Batch=959, step=9360, lr=0.161250, batch loss=0.192257, epoch loss=3.824918 Batch=1019, step=9420, lr=0.161000, batch loss=0.316859, epoch loss=4.141777 Batch=1079, step=9480, lr=0.160750, batch loss=0.189065, epoch loss=4.330842 Batch=1139, step=9540, lr=0.160500, batch loss=0.212610, epoch loss=4.543452 Batch=1199, step=9600, lr=0.160000, batch loss=0.167267, epoch loss=4.710718 Epoch=7, step=9600, lr=0.160000, epoch loss=4.710718 Batch=59, step=9660, lr=0.159750, batch loss=0.201707, epoch loss=0.201707 Batch=119, step=9720, lr=0.159500, batch loss=0.163980, epoch loss=0.365687 Batch=179, step=9780, lr=0.159500, batch loss=0.179453, epoch loss=0.545140 Batch=239, step=9840, lr=0.159000, batch loss=0.261536, epoch loss=0.806676 Batch=299, step=9900, lr=0.158750, batch loss=0.182129, epoch loss=0.988805 Batch=359, step=9960, lr=0.158500, batch loss=0.234648, epoch loss=1.223453 Batch=419, step=10020, lr=0.158500, batch loss=0.232943, epoch loss=1.456396 Batch=479, step=10080, lr=0.158000, batch loss=0.216053, epoch loss=1.672449 Batch=539, step=10140, lr=0.158000, batch loss=0.170449, epoch loss=1.842898 Batch=599, step=10200, lr=0.157750, batch loss=0.204111, epoch loss=2.047009 Batch=659, step=10260, lr=0.157500, batch loss=0.281895, epoch loss=2.328904 Batch=719, step=10320, lr=0.157000, batch loss=0.280386, epoch loss=2.609290 Batch=779, step=10380, lr=0.157000, batch loss=0.299263, epoch loss=2.908552 Batch=839, step=10440, lr=0.156500, batch loss=0.273413, epoch loss=3.181965 Batch=899, step=10500, lr=0.156500, batch loss=0.238484, epoch loss=3.420448 Batch=959, step=10560, lr=0.156250, batch loss=0.203099, epoch loss=3.623547 Batch=1019, step=10620, lr=0.156000, batch loss=0.289718, epoch loss=3.913266 Batch=1079, step=10680, lr=0.155750, batch loss=0.187032, epoch loss=4.100298 Batch=1139, step=10740, lr=0.155500, batch loss=0.202261, epoch loss=4.302559 Batch=1199, step=10800, lr=0.155250, batch loss=0.156355, epoch loss=4.458914 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458914 Batch=59, step=10860, lr=0.154750, batch loss=0.178617, epoch loss=0.178617 Batch=119, step=10920, lr=0.154750, batch loss=0.152566, epoch loss=0.331183 Batch=179, step=10980, lr=0.154500, batch loss=0.167569, epoch loss=0.498752 Batch=239, step=11040, lr=0.154250, batch loss=0.243980, epoch loss=0.742732 Batch=299, step=11100, lr=0.154000, batch loss=0.171291, epoch loss=0.914023 Batch=359, step=11160, lr=0.153750, batch loss=0.221446, epoch loss=1.135469 Batch=419, step=11220, lr=0.153500, batch loss=0.219754, epoch loss=1.355223 Batch=479, step=11280, lr=0.153250, batch loss=0.211317, epoch loss=1.566540 Batch=539, step=11340, lr=0.153000, batch loss=0.165744, epoch loss=1.732284 Batch=599, step=11400, lr=0.152750, batch loss=0.179002, epoch loss=1.911286 Batch=659, step=11460, lr=0.152500, batch loss=0.266892, epoch loss=2.178179 Batch=719, step=11520, lr=0.152250, batch loss=0.264205, epoch loss=2.442383 Batch=779, step=11580, lr=0.152000, batch loss=0.275168, epoch loss=2.717551 Batch=839, step=11640, lr=0.151750, batch loss=0.252073, epoch loss=2.969624 Batch=899, step=11700, lr=0.151500, batch loss=0.221558, epoch loss=3.191182 Batch=959, step=11760, lr=0.151250, batch loss=0.183738, epoch loss=3.374921 Batch=1019, step=11820, lr=0.151000, batch loss=0.279401, epoch loss=3.654322 Batch=1079, step=11880, lr=0.150750, batch loss=0.147372, epoch loss=3.801694 Batch=1139, step=11940, lr=0.150250, batch loss=0.182254, epoch loss=3.983948 Batch=1199, step=12000, lr=0.150250, batch loss=0.141838, epoch loss=4.125785 Epoch=9, step=12000, lr=0.150250, epoch loss=4.125785 Batch=59, step=12060, lr=0.150000, batch loss=0.163131, epoch loss=0.163131 Batch=119, step=12120, lr=0.149750, batch loss=0.138358, epoch loss=0.301489 Batch=179, step=12180, lr=0.149250, batch loss=0.153022, epoch loss=0.454512 Batch=239, step=12240, lr=0.149000, batch loss=0.221817, epoch loss=0.676329 Batch=299, step=12300, lr=0.148750, batch loss=0.146069, epoch loss=0.822398 Batch=359, step=12360, lr=0.148750, batch loss=0.199528, epoch loss=1.021926 Batch=419, step=12420, lr=0.148500, batch loss=0.209892, epoch loss=1.231818 Batch=479, step=12480, lr=0.148250, batch loss=0.180589, epoch loss=1.412407 Batch=539, step=12540, lr=0.148000, batch loss=0.145277, epoch loss=1.557683 Batch=599, step=12600, lr=0.147750, batch loss=0.150806, epoch loss=1.708489 Batch=659, step=12660, lr=0.147250, batch loss=0.230548, epoch loss=1.939037 Batch=719, step=12720, lr=0.147000, batch loss=0.241289, epoch loss=2.180327 Batch=779, step=12780, lr=0.146750, batch loss=0.256888, epoch loss=2.437214 Batch=839, step=12840, lr=0.146500, batch loss=0.229382, epoch loss=2.666597 Batch=899, step=12900, lr=0.146500, batch loss=0.189965, epoch loss=2.856562 Batch=959, step=12960, lr=0.146250, batch loss=0.168339, epoch loss=3.024901 Batch=1019, step=13020, lr=0.146000, batch loss=0.260222, epoch loss=3.285124 Batch=1079, step=13080, lr=0.145500, batch loss=0.121316, epoch loss=3.406440 Batch=1139, step=13140, lr=0.145250, batch loss=0.160015, epoch loss=3.566454 Batch=1199, step=13200, lr=0.145000, batch loss=0.121116, epoch loss=3.687570 Epoch=10, step=13200, lr=0.145000, epoch loss=3.687570 Batch=59, step=13260, lr=0.145000, batch loss=0.146292, epoch loss=0.146292 Batch=119, step=13320, lr=0.144750, batch loss=0.121616, epoch loss=0.267909 Batch=179, step=13380, lr=0.144250, batch loss=0.130886, epoch loss=0.398795 Batch=239, step=13440, lr=0.144250, batch loss=0.192805, epoch loss=0.591600 Batch=299, step=13500, lr=0.143750, batch loss=0.115612, epoch loss=0.707212 Batch=359, step=13560, lr=0.143750, batch loss=0.166088, epoch loss=0.873299 Batch=419, step=13620, lr=0.143500, batch loss=0.164441, epoch loss=1.037740 Batch=479, step=13680, lr=0.143250, batch loss=0.149292, epoch loss=1.187032 Batch=539, step=13740, lr=0.143000, batch loss=0.121634, epoch loss=1.308665 Batch=599, step=13800, lr=0.142500, batch loss=0.123936, epoch loss=1.432601 Batch=659, step=13860, lr=0.142500, batch loss=0.181244, epoch loss=1.613846 Batch=719, step=13920, lr=0.142250, batch loss=0.177869, epoch loss=1.791715 Batch=779, step=13980, lr=0.142000, batch loss=0.193646, epoch loss=1.985361 Batch=839, step=14040, lr=0.141750, batch loss=0.194368, epoch loss=2.179729 Batch=899, step=14100, lr=0.141500, batch loss=0.201229, epoch loss=2.380957 Batch=959, step=14160, lr=0.141250, batch loss=0.122046, epoch loss=2.503003 Batch=1019, step=14220, lr=0.141000, batch loss=0.207707, epoch loss=2.710710 Batch=1079, step=14280, lr=0.140750, batch loss=0.082204, epoch loss=2.792915 Batch=1139, step=14340, lr=0.140250, batch loss=0.132353, epoch loss=2.925267 Batch=1199, step=14400, lr=0.140000, batch loss=0.091702, epoch loss=3.016970 Epoch=11, step=14400, lr=0.140000, epoch loss=3.016970 Batch=59, step=14460, lr=0.139750, batch loss=0.106817, epoch loss=0.106817 Batch=119, step=14520, lr=0.139500, batch loss=0.104021, epoch loss=0.210838 Batch=179, step=14580, lr=0.139500, batch loss=0.102354, epoch loss=0.313192 Batch=239, step=14640, lr=0.139250, batch loss=0.148314, epoch loss=0.461506 Batch=299, step=14700, lr=0.139000, batch loss=0.079728, epoch loss=0.541233 Batch=359, step=14760, lr=0.138500, batch loss=0.125615, epoch loss=0.666848 Batch=419, step=14820, lr=0.138500, batch loss=0.132975, epoch loss=0.799823 Batch=479, step=14880, lr=0.138000, batch loss=0.109090, epoch loss=0.908912 Batch=539, step=14940, lr=0.138000, batch loss=0.106727, epoch loss=1.015639 Batch=599, step=15000, lr=0.137750, batch loss=0.087708, epoch loss=1.103347 Batch=659, step=15060, lr=0.137250, batch loss=0.135697, epoch loss=1.239044 Batch=719, step=15120, lr=0.137250, batch loss=0.159634, epoch loss=1.398678 Batch=779, step=15180, lr=0.137000, batch loss=0.269442, epoch loss=1.668120 Batch=839, step=15240, lr=0.136750, batch loss=0.153284, epoch loss=1.821403 Batch=899, step=15300, lr=0.136500, batch loss=0.150004, epoch loss=1.971407 Batch=959, step=15360, lr=0.136250, batch loss=0.081811, epoch loss=2.053218 Batch=1019, step=15420, lr=0.136000, batch loss=0.167341, epoch loss=2.220560 Batch=1079, step=15480, lr=0.135750, batch loss=0.045786, epoch loss=2.266345 Batch=1139, step=15540, lr=0.135500, batch loss=0.102467, epoch loss=2.368812 Batch=1199, step=15600, lr=0.135000, batch loss=0.062205, epoch loss=2.431017 Epoch=12, step=15600, lr=0.135000, epoch loss=2.431017 Batch=59, step=15660, lr=0.135000, batch loss=0.095961, epoch loss=0.095961 Batch=119, step=15720, lr=0.134750, batch loss=0.168917, epoch loss=0.264878 Batch=179, step=15780, lr=0.134250, batch loss=0.111670, epoch loss=0.376548 Batch=239, step=15840, lr=0.134000, batch loss=0.111132, epoch loss=0.487680 Batch=299, step=15900, lr=0.134000, batch loss=0.051381, epoch loss=0.539061 Batch=359, step=15960, lr=0.133750, batch loss=0.092580, epoch loss=0.631641 Batch=419, step=16020, lr=0.133500, batch loss=0.082263, epoch loss=0.713904 Batch=479, step=16080, lr=0.133250, batch loss=0.056032, epoch loss=0.769937 Batch=539, step=16140, lr=0.133000, batch loss=0.083745, epoch loss=0.853681 Batch=599, step=16200, lr=0.132750, batch loss=0.167038, epoch loss=1.020720 Batch=659, step=16260, lr=0.132500, batch loss=0.101668, epoch loss=1.122388 Batch=719, step=16320, lr=0.132250, batch loss=0.128724, epoch loss=1.251111 Batch=779, step=16380, lr=0.131750, batch loss=0.264669, epoch loss=1.515780 Batch=839, step=16440, lr=0.131750, batch loss=0.094663, epoch loss=1.610443 Batch=899, step=16500, lr=0.131500, batch loss=0.077997, epoch loss=1.688441 Batch=959, step=16560, lr=0.131250, batch loss=0.044408, epoch loss=1.732848 Batch=1019, step=16620, lr=0.131000, batch loss=0.096751, epoch loss=1.829599 Batch=1079, step=16680, lr=0.130750, batch loss=0.039332, epoch loss=1.868931 Batch=1139, step=16740, lr=0.130500, batch loss=0.084009, epoch loss=1.952940 Batch=1199, step=16800, lr=0.130250, batch loss=0.040288, epoch loss=1.993228 Epoch=13, step=16800, lr=0.130250, epoch loss=1.993228 Batch=59, step=16860, lr=0.130000, batch loss=0.037586, epoch loss=0.037586 Batch=119, step=16920, lr=0.129750, batch loss=0.036903, epoch loss=0.074488 Batch=179, step=16980, lr=0.129250, batch loss=0.045678, epoch loss=0.120167 Batch=239, step=17040, lr=0.129250, batch loss=0.059584, epoch loss=0.179750 Batch=299, step=17100, lr=0.129000, batch loss=0.021478, epoch loss=0.201228 Batch=359, step=17160, lr=0.128750, batch loss=0.046921, epoch loss=0.248149 Batch=419, step=17220, lr=0.128500, batch loss=0.050025, epoch loss=0.298174 Batch=479, step=17280, lr=0.128250, batch loss=0.026739, epoch loss=0.324913 Batch=539, step=17340, lr=0.127750, batch loss=0.031067, epoch loss=0.355980 Batch=599, step=17400, lr=0.127750, batch loss=0.036523, epoch loss=0.392503 Batch=659, step=17460, lr=0.127500, batch loss=0.051948, epoch loss=0.444451 Batch=719, step=17520, lr=0.127000, batch loss=0.073739, epoch loss=0.518190 Batch=779, step=17580, lr=0.127000, batch loss=0.075518, epoch loss=0.593708 Batch=839, step=17640, lr=0.126750, batch loss=0.151357, epoch loss=0.745065 Batch=899, step=17700, lr=0.126500, batch loss=0.060882, epoch loss=0.805947 Batch=959, step=17760, lr=0.126250, batch loss=0.021742, epoch loss=0.827689 Batch=1019, step=17820, lr=0.126000, batch loss=0.034607, epoch loss=0.862296 Batch=1079, step=17880, lr=0.125750, batch loss=0.024852, epoch loss=0.887148 Batch=1139, step=17940, lr=0.125250, batch loss=0.058487, epoch loss=0.945635 Batch=1199, step=18000, lr=0.125000, batch loss=0.023876, epoch loss=0.969511 Epoch=14, step=18000, lr=0.125000, epoch loss=0.969511 Batch=59, step=18060, lr=0.124750, batch loss=0.015930, epoch loss=0.015930 Batch=119, step=18120, lr=0.124500, batch loss=0.020564, epoch loss=0.036494 Batch=179, step=18180, lr=0.124500, batch loss=0.031922, epoch loss=0.068416 Batch=239, step=18240, lr=0.124250, batch loss=0.038426, epoch loss=0.106843 Batch=299, step=18300, lr=0.124000, batch loss=0.012185, epoch loss=0.119027 Batch=359, step=18360, lr=0.123500, batch loss=0.026253, epoch loss=0.145280 Batch=419, step=18420, lr=0.123250, batch loss=0.032079, epoch loss=0.177359 Batch=479, step=18480, lr=0.123250, batch loss=0.020179, epoch loss=0.197538 Batch=539, step=18540, lr=0.122750, batch loss=0.035657, epoch loss=0.233196 Batch=599, step=18600, lr=0.122750, batch loss=0.026771, epoch loss=0.259967 Batch=659, step=18660, lr=0.122500, batch loss=0.035577, epoch loss=0.295544 Batch=719, step=18720, lr=0.122250, batch loss=0.040147, epoch loss=0.335691 Batch=779, step=18780, lr=0.122000, batch loss=0.120199, epoch loss=0.455889 Batch=839, step=18840, lr=0.121750, batch loss=0.066376, epoch loss=0.522265 Batch=899, step=18900, lr=0.121250, batch loss=0.097225, epoch loss=0.619490 Batch=959, step=18960, lr=0.121250, batch loss=0.015919, epoch loss=0.635409 Batch=1019, step=19020, lr=0.121000, batch loss=0.027204, epoch loss=0.662613 Batch=1079, step=19080, lr=0.120750, batch loss=0.004927, epoch loss=0.667540 Batch=1139, step=19140, lr=0.120500, batch loss=0.027078, epoch loss=0.694617 Batch=1199, step=19200, lr=0.120250, batch loss=0.011824, epoch loss=0.706441 Epoch=15, step=19200, lr=0.120250, epoch loss=0.706441 Batch=59, step=19260, lr=0.120000, batch loss=0.006868, epoch loss=0.006868 Batch=119, step=19320, lr=0.119750, batch loss=0.029432, epoch loss=0.036300 Batch=179, step=19380, lr=0.119500, batch loss=0.076643, epoch loss=0.112942 Batch=239, step=19440, lr=0.119250, batch loss=0.033089, epoch loss=0.146032 Batch=299, step=19500, lr=0.118750, batch loss=0.009778, epoch loss=0.155810 Batch=359, step=19560, lr=0.118750, batch loss=0.026963, epoch loss=0.182772 Batch=419, step=19620, lr=0.118500, batch loss=0.023563, epoch loss=0.206336 Batch=479, step=19680, lr=0.118250, batch loss=0.009850, epoch loss=0.216186 Batch=539, step=19740, lr=0.118000, batch loss=0.017581, epoch loss=0.233767 Batch=599, step=19800, lr=0.117750, batch loss=0.022352, epoch loss=0.256119 Batch=659, step=19860, lr=0.117500, batch loss=0.019317, epoch loss=0.275436 Batch=719, step=19920, lr=0.117000, batch loss=0.026741, epoch loss=0.302177 Batch=779, step=19980, lr=0.117000, batch loss=0.055964, epoch loss=0.358141 Batch=839, step=20040, lr=0.116750, batch loss=0.034426, epoch loss=0.392567 Batch=899, step=20100, lr=0.116500, batch loss=0.032386, epoch loss=0.424953 Batch=959, step=20160, lr=0.116250, batch loss=0.019635, epoch loss=0.444587 Batch=1019, step=20220, lr=0.116000, batch loss=0.023857, epoch loss=0.468444 Batch=1079, step=20280, lr=0.115750, batch loss=0.002913, epoch loss=0.471357 Batch=1139, step=20340, lr=0.115500, batch loss=0.015448, epoch loss=0.486805 Batch=1199, step=20400, lr=0.115250, batch loss=0.005873, epoch loss=0.492678 Epoch=16, step=20400, lr=0.115250, epoch loss=0.492678 Batch=59, step=20460, lr=0.115000, batch loss=0.002836, epoch loss=0.002836 Batch=119, step=20520, lr=0.114750, batch loss=0.013284, epoch loss=0.016121 Batch=179, step=20580, lr=0.114500, batch loss=0.027409, epoch loss=0.043529 Batch=239, step=20640, lr=0.114000, batch loss=0.015013, epoch loss=0.058543 Batch=299, step=20700, lr=0.113750, batch loss=0.003371, epoch loss=0.061914 Batch=359, step=20760, lr=0.113750, batch loss=0.014623, epoch loss=0.076537 Batch=419, step=20820, lr=0.113250, batch loss=0.016336, epoch loss=0.092873 Batch=479, step=20880, lr=0.113250, batch loss=0.006634, epoch loss=0.099506 Batch=539, step=20940, lr=0.113000, batch loss=0.016834, epoch loss=0.116340 Batch=599, step=21000, lr=0.112750, batch loss=0.019030, epoch loss=0.135370 Batch=659, step=21060, lr=0.112250, batch loss=0.013762, epoch loss=0.149132 Batch=719, step=21120, lr=0.112250, batch loss=0.033935, epoch loss=0.183067 Batch=779, step=21180, lr=0.112000, batch loss=0.054145, epoch loss=0.237212 Batch=839, step=21240, lr=0.111750, batch loss=0.025679, epoch loss=0.262890 Batch=899, step=21300, lr=0.111500, batch loss=0.026277, epoch loss=0.289167 Batch=959, step=21360, lr=0.111250, batch loss=0.015302, epoch loss=0.304469 Batch=1019, step=21420, lr=0.111000, batch loss=0.013249, epoch loss=0.317718 Batch=1079, step=21480, lr=0.110750, batch loss=0.001957, epoch loss=0.319675 Batch=1139, step=21540, lr=0.110500, batch loss=0.012780, epoch loss=0.332455 Batch=1199, step=21600, lr=0.110250, batch loss=0.005213, epoch loss=0.337668 Epoch=17, step=21600, lr=0.110250, epoch loss=0.337668 Batch=59, step=21660, lr=0.109750, batch loss=0.002477, epoch loss=0.002477 Batch=119, step=21720, lr=0.109750, batch loss=0.007644, epoch loss=0.010121 Batch=179, step=21780, lr=0.109500, batch loss=0.012379, epoch loss=0.022500 Batch=239, step=21840, lr=0.109250, batch loss=0.010505, epoch loss=0.033005 Batch=299, step=21900, lr=0.109000, batch loss=0.004218, epoch loss=0.037223 Batch=359, step=21960, lr=0.108750, batch loss=0.013166, epoch loss=0.050389 Batch=419, step=22020, lr=0.108250, batch loss=0.013143, epoch loss=0.063532 Batch=479, step=22080, lr=0.108250, batch loss=0.004517, epoch loss=0.068050 Batch=539, step=22140, lr=0.108000, batch loss=0.015496, epoch loss=0.083546 Batch=599, step=22200, lr=0.107500, batch loss=0.016447, epoch loss=0.099993 Batch=659, step=22260, lr=0.107500, batch loss=0.012685, epoch loss=0.112678 Batch=719, step=22320, lr=0.107250, batch loss=0.025300, epoch loss=0.137978 Batch=779, step=22380, lr=0.107000, batch loss=0.047920, epoch loss=0.185898 Batch=839, step=22440, lr=0.106750, batch loss=0.021992, epoch loss=0.207890 Batch=899, step=22500, lr=0.106500, batch loss=0.023179, epoch loss=0.231069 Batch=959, step=22560, lr=0.106000, batch loss=0.010884, epoch loss=0.241953 Batch=1019, step=22620, lr=0.106000, batch loss=0.009998, epoch loss=0.251951 Batch=1079, step=22680, lr=0.105750, batch loss=0.000724, epoch loss=0.252675 Batch=1139, step=22740, lr=0.105250, batch loss=0.011236, epoch loss=0.263911 Batch=1199, step=22800, lr=0.105250, batch loss=0.004229, epoch loss=0.268141 Epoch=18, step=22800, lr=0.105250, epoch loss=0.268141 Batch=59, step=22860, lr=0.104750, batch loss=0.000891, epoch loss=0.000891 Batch=119, step=22920, lr=0.104500, batch loss=0.006084, epoch loss=0.006975 Batch=179, step=22980, lr=0.104500, batch loss=0.010390, epoch loss=0.017365 Batch=239, step=23040, lr=0.104250, batch loss=0.010320, epoch loss=0.027686 Batch=299, step=23100, lr=0.104000, batch loss=0.011326, epoch loss=0.039012 Batch=359, step=23160, lr=0.103750, batch loss=0.011481, epoch loss=0.050493 Batch=419, step=23220, lr=0.103500, batch loss=0.011449, epoch loss=0.061942 Batch=479, step=23280, lr=0.103000, batch loss=0.002300, epoch loss=0.064242 Batch=539, step=23340, lr=0.103000, batch loss=0.016355, epoch loss=0.080597 Batch=599, step=23400, lr=0.102500, batch loss=0.013998, epoch loss=0.094594 Batch=659, step=23460, lr=0.102500, batch loss=0.010266, epoch loss=0.104860 Batch=719, step=23520, lr=0.102250, batch loss=0.016442, epoch loss=0.121302 Batch=779, step=23580, lr=0.102000, batch loss=0.020756, epoch loss=0.142058 Batch=839, step=23640, lr=0.101500, batch loss=0.024544, epoch loss=0.166602 Batch=899, step=23700, lr=0.101500, batch loss=0.025327, epoch loss=0.191929 Batch=959, step=23760, lr=0.101250, batch loss=0.009277, epoch loss=0.201206 Batch=1019, step=23820, lr=0.101000, batch loss=0.009286, epoch loss=0.210492 Batch=1079, step=23880, lr=0.100750, batch loss=0.001080, epoch loss=0.211572 Batch=1139, step=23940, lr=0.100500, batch loss=0.009282, epoch loss=0.220853 Batch=1199, step=24000, lr=0.100250, batch loss=0.005215, epoch loss=0.226068 Epoch=19, step=24000, lr=0.100250, epoch loss=0.226068 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:54.16 ---> saved as "30c6ce2fe884b191efb9af73045cf94c849365fcaf5df7232ea3b5e6a7a70897" Job succeeded 2025-03-21 14:54.16: Job succeeded