2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750 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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:23.06: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-21 15:23.07 ---> 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 15:23.07 ---> 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 15:23.07 ---> 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 15:23.07 ---> using "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:23.07 ---> 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 15:24.54 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:24.55 ---> 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 15:25.04 ---> saved as "bf7ed5143891e6898c32547d9d05a2f8eab0d2d7bd65edee61534692dfeea77d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:25.04 ---> 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" - Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease - Get:3 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:6 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:7 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1351 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [16.5 kB] - Fetched 6698 kB in 1s (4909 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 15:25.53 ---> 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 angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (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_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (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 ppxlib.0.35.0 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed ptime.1.2.0 -> installed mtime.2.1.0 -> installed dune.3.17.2 -> installed ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed printbox.0.12 -> installed ocaml_intrinsics_kernel.v0.17.1 -> 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 sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.1 -> installed printbox-ext-plot.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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_fields_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_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 15:31.11 ---> saved as "84d9a5630f01f5c5f0932552692517a76658d4c0015cf15daedc762eeca56a2d" /src: (copy (src .) (dst /src)) 2025-03-21 15:31.11 ---> saved as "7ccea3bf00652f417f5dcf6616bea2719c21cf00564e0076cf5e1bbf6a67fd69" /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/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/40cb2168bc4e57ab726edccd0f5db7ff/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8de22a876739b19abdb143bdfdc72ef0/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/8de22a876739b19abdb143bdfdc72ef0/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.198000, batch loss=0.690502, epoch loss=40.449821 Batch=599, step=600, lr=0.197750, batch loss=1.101582, epoch loss=41.551403 Batch=659, step=660, lr=0.197500, batch loss=0.481828, epoch loss=42.033231 Batch=719, step=720, lr=0.197250, batch loss=0.410623, epoch loss=42.443854 Batch=779, step=780, lr=0.197000, batch loss=0.469028, epoch loss=42.912882 Batch=839, step=840, lr=0.196750, batch loss=0.450368, epoch loss=43.363250 Batch=899, step=900, lr=0.196500, batch loss=0.383530, epoch loss=43.746779 Batch=959, step=960, lr=0.196250, batch loss=0.267841, epoch loss=44.014621 Batch=1019, step=1020, lr=0.196000, batch loss=0.487679, epoch loss=44.502300 Batch=1079, step=1080, lr=0.195750, batch loss=0.264822, epoch loss=44.767122 Batch=1139, step=1140, lr=0.195500, batch loss=0.331032, epoch loss=45.098154 Batch=1199, step=1200, lr=0.195250, batch loss=0.265091, epoch loss=45.363245 Epoch=0, step=1200, lr=0.195250, epoch loss=45.363245 Batch=59, step=1260, lr=0.194750, batch loss=0.263180, epoch loss=0.263180 Batch=119, step=1320, lr=0.194500, batch loss=0.204639, epoch loss=0.467819 Batch=179, step=1380, lr=0.194500, batch loss=0.245286, epoch loss=0.713105 Batch=239, step=1440, lr=0.194250, batch loss=0.349912, epoch loss=1.063016 Batch=299, step=1500, lr=0.194000, batch loss=0.239495, epoch loss=1.302511 Batch=359, step=1560, lr=0.193750, batch loss=0.319193, epoch loss=1.621705 Batch=419, step=1620, lr=0.193500, batch loss=0.312624, epoch loss=1.934329 Batch=479, step=1680, lr=0.193250, batch loss=0.276739, epoch loss=2.211068 Batch=539, step=1740, lr=0.193000, batch loss=0.209544, epoch loss=2.420612 Batch=599, step=1800, lr=0.192750, batch loss=0.247539, epoch loss=2.668151 Batch=659, step=1860, lr=0.192250, batch loss=0.367097, epoch loss=3.035248 Batch=719, step=1920, lr=0.192000, batch loss=0.359078, epoch loss=3.394325 Batch=779, step=1980, lr=0.192000, batch loss=0.389508, epoch loss=3.783834 Batch=839, step=2040, lr=0.191750, batch loss=0.347104, epoch loss=4.130938 Batch=899, step=2100, lr=0.191500, batch loss=0.323392, epoch loss=4.454330 Batch=959, step=2160, lr=0.191250, batch loss=0.256420, epoch loss=4.710749 Batch=1019, step=2220, lr=0.191000, batch loss=0.391349, epoch loss=5.102098 Batch=1079, step=2280, lr=0.190750, batch loss=0.219985, epoch loss=5.322084 Batch=1139, step=2340, lr=0.190250, batch loss=0.265450, epoch loss=5.587534 Batch=1199, step=2400, lr=0.190250, batch loss=0.214202, epoch loss=5.801736 Epoch=1, step=2400, lr=0.190250, epoch loss=5.801736 Batch=59, step=2460, lr=0.190000, batch loss=0.230867, epoch loss=0.230867 Batch=119, step=2520, lr=0.189750, batch loss=0.190230, epoch loss=0.421097 Batch=179, step=2580, lr=0.189500, batch loss=0.221038, epoch loss=0.642135 Batch=239, step=2640, lr=0.189250, batch loss=0.330180, epoch loss=0.972314 Batch=299, step=2700, lr=0.189000, batch loss=0.206109, epoch loss=1.178423 Batch=359, step=2760, lr=0.188500, batch loss=0.290319, epoch loss=1.468743 Batch=419, step=2820, lr=0.188500, batch loss=0.282660, epoch loss=1.751403 Batch=479, step=2880, lr=0.188250, batch loss=0.254406, epoch loss=2.005808 Batch=539, step=2940, lr=0.188000, batch loss=0.193603, epoch loss=2.199411 Batch=599, step=3000, lr=0.187750, batch loss=0.227991, epoch loss=2.427402 Batch=659, step=3060, lr=0.187500, batch loss=0.339439, epoch loss=2.766841 Batch=719, step=3120, lr=0.187250, batch loss=0.332506, epoch loss=3.099347 Batch=779, step=3180, lr=0.187000, batch loss=0.355504, epoch loss=3.454851 Batch=839, step=3240, lr=0.186750, batch loss=0.329393, epoch loss=3.784244 Batch=899, step=3300, lr=0.186500, batch loss=0.303577, epoch loss=4.087821 Batch=959, step=3360, lr=0.186250, batch loss=0.241608, epoch loss=4.329429 Batch=1019, step=3420, lr=0.186000, batch loss=0.345891, epoch loss=4.675320 Batch=1079, step=3480, lr=0.185750, batch loss=0.225926, epoch loss=4.901246 Batch=1139, step=3540, lr=0.185500, batch loss=0.263242, epoch loss=5.164488 Batch=1199, step=3600, lr=0.185250, batch loss=0.200697, epoch loss=5.365186 Epoch=2, step=3600, lr=0.185250, epoch loss=5.365186 Batch=59, step=3660, lr=0.185000, batch loss=0.222794, epoch loss=0.222794 Batch=119, step=3720, lr=0.184750, batch loss=0.185745, epoch loss=0.408539 Batch=179, step=3780, lr=0.184500, batch loss=0.212893, epoch loss=0.621432 Batch=239, step=3840, lr=0.184250, batch loss=0.319138, epoch loss=0.940571 Batch=299, step=3900, lr=0.184000, batch loss=0.209822, epoch loss=1.150393 Batch=359, step=3960, lr=0.183750, batch loss=0.287315, epoch loss=1.437708 Batch=419, step=4020, lr=0.183500, batch loss=0.275603, epoch loss=1.713311 Batch=479, step=4080, lr=0.183000, batch loss=0.259693, epoch loss=1.973004 Batch=539, step=4140, lr=0.183000, batch loss=0.195691, epoch loss=2.168696 Batch=599, step=4200, lr=0.182750, batch loss=0.241448, epoch loss=2.410144 Batch=659, step=4260, lr=0.182500, batch loss=0.329671, epoch loss=2.739815 Batch=719, step=4320, lr=0.182250, batch loss=0.331172, epoch loss=3.070987 Batch=779, step=4380, lr=0.181750, batch loss=0.350564, epoch loss=3.421551 Batch=839, step=4440, lr=0.181750, batch loss=0.316769, epoch loss=3.738320 Batch=899, step=4500, lr=0.181500, batch loss=0.283396, epoch loss=4.021716 Batch=959, step=4560, lr=0.181250, batch loss=0.211450, epoch loss=4.233166 Batch=1019, step=4620, lr=0.181000, batch loss=0.314084, epoch loss=4.547250 Batch=1079, step=4680, lr=0.180750, batch loss=0.188232, epoch loss=4.735482 Batch=1139, step=4740, lr=0.180500, batch loss=0.225931, epoch loss=4.961413 Batch=1199, step=4800, lr=0.180250, batch loss=0.191009, epoch loss=5.152422 Epoch=3, step=4800, lr=0.180250, epoch loss=5.152422 Batch=59, step=4860, lr=0.179750, batch loss=0.225633, epoch loss=0.225633 Batch=119, step=4920, lr=0.179750, batch loss=0.193218, epoch loss=0.418851 Batch=179, step=4980, lr=0.179500, batch loss=0.206269, epoch loss=0.625120 Batch=239, step=5040, lr=0.179250, batch loss=0.309663, epoch loss=0.934783 Batch=299, step=5100, lr=0.178750, batch loss=0.206539, epoch loss=1.141322 Batch=359, step=5160, lr=0.178750, batch loss=0.276361, epoch loss=1.417683 Batch=419, step=5220, lr=0.178500, batch loss=0.274356, epoch loss=1.692039 Batch=479, step=5280, lr=0.178250, batch loss=0.248459, epoch loss=1.940498 Batch=539, step=5340, lr=0.178000, batch loss=0.199074, epoch loss=2.139572 Batch=599, step=5400, lr=0.177750, batch loss=0.238873, epoch loss=2.378445 Batch=659, step=5460, lr=0.177500, batch loss=0.321369, epoch loss=2.699814 Batch=719, step=5520, lr=0.177250, batch loss=0.326152, epoch loss=3.025966 Batch=779, step=5580, lr=0.177000, batch loss=0.340475, epoch loss=3.366441 Batch=839, step=5640, lr=0.176750, batch loss=0.314196, epoch loss=3.680637 Batch=899, step=5700, lr=0.176500, batch loss=0.280040, epoch loss=3.960677 Batch=959, step=5760, lr=0.176250, batch loss=0.219542, epoch loss=4.180219 Batch=1019, step=5820, lr=0.176000, batch loss=0.333673, epoch loss=4.513892 Batch=1079, step=5880, lr=0.175750, batch loss=0.195535, epoch loss=4.709428 Batch=1139, step=5940, lr=0.175500, batch loss=0.233390, epoch loss=4.942818 Batch=1199, step=6000, lr=0.175250, batch loss=0.185748, epoch loss=5.128567 Epoch=4, step=6000, lr=0.175250, epoch loss=5.128567 Batch=59, step=6060, lr=0.175000, batch loss=0.221623, epoch loss=0.221623 Batch=119, step=6120, lr=0.174750, batch loss=0.186292, epoch loss=0.407916 Batch=179, step=6180, lr=0.174500, batch loss=0.202178, epoch loss=0.610094 Batch=239, step=6240, lr=0.174250, batch loss=0.300648, epoch loss=0.910742 Batch=299, step=6300, lr=0.174000, batch loss=0.205687, epoch loss=1.116429 Batch=359, step=6360, lr=0.173750, batch loss=0.267911, epoch loss=1.384340 Batch=419, step=6420, lr=0.173500, batch loss=0.265924, epoch loss=1.650263 Batch=479, step=6480, lr=0.173250, batch loss=0.244620, epoch loss=1.894883 Batch=539, step=6540, lr=0.173000, batch loss=0.193091, epoch loss=2.087975 Batch=599, step=6600, lr=0.172750, batch loss=0.229872, epoch loss=2.317846 Batch=659, step=6660, lr=0.172500, batch loss=0.316490, epoch loss=2.634336 Batch=719, step=6720, lr=0.172250, batch loss=0.316471, epoch loss=2.950806 Batch=779, step=6780, lr=0.172000, batch loss=0.332471, epoch loss=3.283278 Batch=839, step=6840, lr=0.171750, batch loss=0.305377, epoch loss=3.588654 Batch=899, step=6900, lr=0.171500, batch loss=0.266927, epoch loss=3.855581 Batch=959, step=6960, lr=0.171250, batch loss=0.215111, epoch loss=4.070692 Batch=1019, step=7020, lr=0.171000, batch loss=0.321941, epoch loss=4.392633 Batch=1079, step=7080, lr=0.170750, batch loss=0.177871, epoch loss=4.570503 Batch=1139, step=7140, lr=0.170500, batch loss=0.214532, epoch loss=4.785035 Batch=1199, step=7200, lr=0.170250, batch loss=0.185099, epoch loss=4.970134 Epoch=5, step=7200, lr=0.170250, epoch loss=4.970134 Batch=59, step=7260, lr=0.170000, batch loss=0.237296, epoch loss=0.237296 Batch=119, step=7320, lr=0.169750, batch loss=0.181662, epoch loss=0.418958 Batch=179, step=7380, lr=0.169250, batch loss=0.195757, epoch loss=0.614715 Batch=239, step=7440, lr=0.169250, batch loss=0.291519, epoch loss=0.906234 Batch=299, step=7500, lr=0.169000, batch loss=0.206418, epoch loss=1.112652 Batch=359, step=7560, lr=0.168750, batch loss=0.262845, epoch loss=1.375497 Batch=419, step=7620, lr=0.168500, batch loss=0.256330, epoch loss=1.631827 Batch=479, step=7680, lr=0.168250, batch loss=0.238602, epoch loss=1.870429 Batch=539, step=7740, lr=0.168000, batch loss=0.187154, epoch loss=2.057583 Batch=599, step=7800, lr=0.167750, batch loss=0.224655, epoch loss=2.282239 Batch=659, step=7860, lr=0.167500, batch loss=0.306304, epoch loss=2.588543 Batch=719, step=7920, lr=0.167250, batch loss=0.308780, epoch loss=2.897323 Batch=779, step=7980, lr=0.167000, batch loss=0.326750, epoch loss=3.224073 Batch=839, step=8040, lr=0.166750, batch loss=0.294675, epoch loss=3.518748 Batch=899, step=8100, lr=0.166500, batch loss=0.262444, epoch loss=3.781191 Batch=959, step=8160, lr=0.166250, batch loss=0.201030, epoch loss=3.982222 Batch=1019, step=8220, lr=0.166000, batch loss=0.324252, epoch loss=4.306474 Batch=1079, step=8280, lr=0.165750, batch loss=0.186540, epoch loss=4.493014 Batch=1139, step=8340, lr=0.165250, batch loss=0.218040, epoch loss=4.711054 Batch=1199, step=8400, lr=0.165250, batch loss=0.173766, epoch loss=4.884820 Epoch=6, step=8400, lr=0.165250, epoch loss=4.884820 Batch=59, step=8460, lr=0.165000, batch loss=0.212244, epoch loss=0.212244 Batch=119, step=8520, lr=0.164500, batch loss=0.172407, epoch loss=0.384652 Batch=179, step=8580, lr=0.164500, batch loss=0.188748, epoch loss=0.573400 Batch=239, step=8640, lr=0.164250, batch loss=0.277842, epoch loss=0.851243 Batch=299, step=8700, lr=0.164000, batch loss=0.185748, epoch loss=1.036990 Batch=359, step=8760, lr=0.163750, batch loss=0.247457, epoch loss=1.284448 Batch=419, step=8820, lr=0.163500, batch loss=0.239421, epoch loss=1.523869 Batch=479, step=8880, lr=0.163250, batch loss=0.214338, epoch loss=1.738207 Batch=539, step=8940, lr=0.163000, batch loss=0.178406, epoch loss=1.916613 Batch=599, step=9000, lr=0.162750, batch loss=0.219178, epoch loss=2.135791 Batch=659, step=9060, lr=0.162500, batch loss=0.294608, epoch loss=2.430399 Batch=719, step=9120, lr=0.162250, batch loss=0.296127, epoch loss=2.726526 Batch=779, step=9180, lr=0.162000, batch loss=0.316569, epoch loss=3.043095 Batch=839, step=9240, lr=0.161750, batch loss=0.287806, epoch loss=3.330900 Batch=899, step=9300, lr=0.161500, batch loss=0.251900, epoch loss=3.582800 Batch=959, step=9360, lr=0.161250, batch loss=0.190838, epoch loss=3.773638 Batch=1019, step=9420, lr=0.161000, batch loss=0.311661, epoch loss=4.085300 Batch=1079, step=9480, lr=0.160750, batch loss=0.193346, epoch loss=4.278646 Batch=1139, step=9540, lr=0.160500, batch loss=0.210797, epoch loss=4.489443 Batch=1199, step=9600, lr=0.160250, batch loss=0.167716, epoch loss=4.657158 Epoch=7, step=9600, lr=0.160250, epoch loss=4.657158 Batch=59, step=9660, lr=0.160000, batch loss=0.202531, epoch loss=0.202531 Batch=119, step=9720, lr=0.159750, batch loss=0.170587, epoch loss=0.373118 Batch=179, step=9780, lr=0.159500, batch loss=0.179734, epoch loss=0.552852 Batch=239, step=9840, lr=0.159250, batch loss=0.263104, epoch loss=0.815956 Batch=299, step=9900, lr=0.159000, batch loss=0.183095, epoch loss=0.999051 Batch=359, step=9960, lr=0.158500, batch loss=0.241014, epoch loss=1.240065 Batch=419, step=10020, lr=0.158500, batch loss=0.233316, epoch loss=1.473381 Batch=479, step=10080, lr=0.158250, batch loss=0.214467, epoch loss=1.687848 Batch=539, step=10140, lr=0.158000, batch loss=0.171046, epoch loss=1.858894 Batch=599, step=10200, lr=0.157750, batch loss=0.202092, epoch loss=2.060986 Batch=659, step=10260, lr=0.157500, batch loss=0.282884, epoch loss=2.343870 Batch=719, step=10320, lr=0.157250, batch loss=0.280131, epoch loss=2.624001 Batch=779, step=10380, lr=0.157000, batch loss=0.300708, epoch loss=2.924709 Batch=839, step=10440, lr=0.156500, batch loss=0.272274, epoch loss=3.196983 Batch=899, step=10500, lr=0.156500, batch loss=0.239642, epoch loss=3.436625 Batch=959, step=10560, lr=0.156250, batch loss=0.200542, epoch loss=3.637167 Batch=1019, step=10620, lr=0.156000, batch loss=0.281439, epoch loss=3.918606 Batch=1079, step=10680, lr=0.155750, batch loss=0.155139, epoch loss=4.073744 Batch=1139, step=10740, lr=0.155500, batch loss=0.186544, epoch loss=4.260288 Batch=1199, step=10800, lr=0.155250, batch loss=0.155561, epoch loss=4.415849 Epoch=8, step=10800, lr=0.155250, epoch loss=4.415849 Batch=59, step=10860, lr=0.155000, batch loss=0.193106, epoch loss=0.193106 Batch=119, step=10920, lr=0.154750, batch loss=0.164805, epoch loss=0.357911 Batch=179, step=10980, lr=0.154500, batch loss=0.167406, epoch loss=0.525318 Batch=239, step=11040, lr=0.154250, batch loss=0.243681, epoch loss=0.768998 Batch=299, step=11100, lr=0.154000, batch loss=0.169468, epoch loss=0.938466 Batch=359, step=11160, lr=0.153750, batch loss=0.224287, epoch loss=1.162754 Batch=419, step=11220, lr=0.153500, batch loss=0.231846, epoch loss=1.394599 Batch=479, step=11280, lr=0.153250, batch loss=0.201788, epoch loss=1.596387 Batch=539, step=11340, lr=0.153000, batch loss=0.161683, epoch loss=1.758070 Batch=599, step=11400, lr=0.152500, batch loss=0.182922, epoch loss=1.940992 Batch=659, step=11460, lr=0.152500, batch loss=0.264696, epoch loss=2.205688 Batch=719, step=11520, lr=0.152250, batch loss=0.259649, epoch loss=2.465337 Batch=779, step=11580, lr=0.152000, batch loss=0.272769, epoch loss=2.738106 Batch=839, step=11640, lr=0.151750, batch loss=0.257268, epoch loss=2.995374 Batch=899, step=11700, lr=0.151500, batch loss=0.217870, epoch loss=3.213244 Batch=959, step=11760, lr=0.151250, batch loss=0.187301, epoch loss=3.400544 Batch=1019, step=11820, lr=0.151000, batch loss=0.277457, epoch loss=3.678001 Batch=1079, step=11880, lr=0.150750, batch loss=0.150073, epoch loss=3.828074 Batch=1139, step=11940, lr=0.150500, batch loss=0.180756, epoch loss=4.008830 Batch=1199, step=12000, lr=0.150250, batch loss=0.140460, epoch loss=4.149290 Epoch=9, step=12000, lr=0.150250, epoch loss=4.149290 Batch=59, step=12060, lr=0.150000, batch loss=0.162782, epoch loss=0.162782 Batch=119, step=12120, lr=0.149750, batch loss=0.137209, epoch loss=0.299991 Batch=179, step=12180, lr=0.149500, batch loss=0.151554, epoch loss=0.451546 Batch=239, step=12240, lr=0.149250, batch loss=0.220508, epoch loss=0.672054 Batch=299, step=12300, lr=0.149000, batch loss=0.142646, epoch loss=0.814699 Batch=359, step=12360, lr=0.148750, batch loss=0.200318, epoch loss=1.015018 Batch=419, step=12420, lr=0.148500, batch loss=0.206339, epoch loss=1.221357 Batch=479, step=12480, lr=0.148250, batch loss=0.180736, epoch loss=1.402093 Batch=539, step=12540, lr=0.148000, batch loss=0.142488, epoch loss=1.544581 Batch=599, step=12600, lr=0.147750, batch loss=0.150430, epoch loss=1.695011 Batch=659, step=12660, lr=0.147500, batch loss=0.227408, epoch loss=1.922419 Batch=719, step=12720, lr=0.147000, batch loss=0.242599, epoch loss=2.165018 Batch=779, step=12780, lr=0.147000, batch loss=0.263620, epoch loss=2.428638 Batch=839, step=12840, lr=0.146500, batch loss=0.238897, epoch loss=2.667535 Batch=899, step=12900, lr=0.146500, batch loss=0.211754, epoch loss=2.879289 Batch=959, step=12960, lr=0.146250, batch loss=0.159347, epoch loss=3.038636 Batch=1019, step=13020, lr=0.146000, batch loss=0.264090, epoch loss=3.302726 Batch=1079, step=13080, lr=0.145750, batch loss=0.113396, epoch loss=3.416122 Batch=1139, step=13140, lr=0.145500, batch loss=0.151527, epoch loss=3.567649 Batch=1199, step=13200, lr=0.145250, batch loss=0.118050, epoch loss=3.685699 Epoch=10, step=13200, lr=0.145250, epoch loss=3.685699 Batch=59, step=13260, lr=0.145000, batch loss=0.139252, epoch loss=0.139252 Batch=119, step=13320, lr=0.144750, batch loss=0.118108, epoch loss=0.257360 Batch=179, step=13380, lr=0.144500, batch loss=0.129513, epoch loss=0.386873 Batch=239, step=13440, lr=0.144250, batch loss=0.187623, epoch loss=0.574497 Batch=299, step=13500, lr=0.144000, batch loss=0.118895, epoch loss=0.693392 Batch=359, step=13560, lr=0.143750, batch loss=0.165596, epoch loss=0.858987 Batch=419, step=13620, lr=0.143500, batch loss=0.162991, epoch loss=1.021978 Batch=479, step=13680, lr=0.143250, batch loss=0.148278, epoch loss=1.170256 Batch=539, step=13740, lr=0.143000, batch loss=0.118522, epoch loss=1.288778 Batch=599, step=13800, lr=0.142750, batch loss=0.121542, epoch loss=1.410320 Batch=659, step=13860, lr=0.142500, batch loss=0.179615, epoch loss=1.589935 Batch=719, step=13920, lr=0.142250, batch loss=0.175435, epoch loss=1.765370 Batch=779, step=13980, lr=0.142000, batch loss=0.182072, epoch loss=1.947442 Batch=839, step=14040, lr=0.141750, batch loss=0.188054, epoch loss=2.135496 Batch=899, step=14100, lr=0.141250, batch loss=0.159153, epoch loss=2.294649 Batch=959, step=14160, lr=0.141250, batch loss=0.137122, epoch loss=2.431771 Batch=1019, step=14220, lr=0.141000, batch loss=0.285354, epoch loss=2.717125 Batch=1079, step=14280, lr=0.140750, batch loss=0.090286, epoch loss=2.807411 Batch=1139, step=14340, lr=0.140500, batch loss=0.131493, epoch loss=2.938904 Batch=1199, step=14400, lr=0.140250, batch loss=0.093631, epoch loss=3.032535 Epoch=11, step=14400, lr=0.140250, epoch loss=3.032535 Batch=59, step=14460, lr=0.140000, batch loss=0.121420, epoch loss=0.121420 Batch=119, step=14520, lr=0.139750, batch loss=0.106430, epoch loss=0.227850 Batch=179, step=14580, lr=0.139500, batch loss=0.104538, epoch loss=0.332388 Batch=239, step=14640, lr=0.139250, batch loss=0.145260, epoch loss=0.477648 Batch=299, step=14700, lr=0.139000, batch loss=0.077110, epoch loss=0.554758 Batch=359, step=14760, lr=0.138750, batch loss=0.122598, epoch loss=0.677356 Batch=419, step=14820, lr=0.138500, batch loss=0.128284, epoch loss=0.805640 Batch=479, step=14880, lr=0.138250, batch loss=0.106322, epoch loss=0.911962 Batch=539, step=14940, lr=0.138000, batch loss=0.103766, epoch loss=1.015728 Batch=599, step=15000, lr=0.137750, batch loss=0.086141, epoch loss=1.101870 Batch=659, step=15060, lr=0.137500, batch loss=0.128604, epoch loss=1.230473 Batch=719, step=15120, lr=0.137250, batch loss=0.131217, epoch loss=1.361691 Batch=779, step=15180, lr=0.137000, batch loss=0.151899, epoch loss=1.513589 Batch=839, step=15240, lr=0.136500, batch loss=0.176358, epoch loss=1.689947 Batch=899, step=15300, lr=0.136500, batch loss=0.287853, epoch loss=1.977801 Batch=959, step=15360, lr=0.136250, batch loss=0.062753, epoch loss=2.040554 Batch=1019, step=15420, lr=0.136000, batch loss=0.137481, epoch loss=2.178034 Batch=1079, step=15480, lr=0.135500, batch loss=0.042674, epoch loss=2.220708 Batch=1139, step=15540, lr=0.135250, batch loss=0.095371, epoch loss=2.316079 Batch=1199, step=15600, lr=0.135250, batch loss=0.060387, epoch loss=2.376466 Epoch=12, step=15600, lr=0.135250, epoch loss=2.376466 Batch=59, step=15660, lr=0.135000, batch loss=0.091293, epoch loss=0.091293 Batch=119, step=15720, lr=0.134750, batch loss=0.135665, epoch loss=0.226959 Batch=179, step=15780, lr=0.134500, batch loss=0.099945, epoch loss=0.326903 Batch=239, step=15840, lr=0.134250, batch loss=0.100433, epoch loss=0.427337 Batch=299, step=15900, lr=0.134000, batch loss=0.045928, epoch loss=0.473265 Batch=359, step=15960, lr=0.133750, batch loss=0.082222, epoch loss=0.555487 Batch=419, step=16020, lr=0.133500, batch loss=0.080418, epoch loss=0.635905 Batch=479, step=16080, lr=0.133250, batch loss=0.063611, epoch loss=0.699516 Batch=539, step=16140, lr=0.133000, batch loss=0.056627, epoch loss=0.756143 Batch=599, step=16200, lr=0.132500, batch loss=0.112479, epoch loss=0.868622 Batch=659, step=16260, lr=0.132500, batch loss=0.081017, epoch loss=0.949638 Batch=719, step=16320, lr=0.132250, batch loss=0.132752, epoch loss=1.082390 Batch=779, step=16380, lr=0.132000, batch loss=0.325279, epoch loss=1.407669 Batch=839, step=16440, lr=0.131750, batch loss=0.095511, epoch loss=1.503180 Batch=899, step=16500, lr=0.131500, batch loss=0.085093, epoch loss=1.588273 Batch=959, step=16560, lr=0.131250, batch loss=0.033202, epoch loss=1.621475 Batch=1019, step=16620, lr=0.131000, batch loss=0.061780, epoch loss=1.683255 Batch=1079, step=16680, lr=0.130750, batch loss=0.061366, epoch loss=1.744622 Batch=1139, step=16740, lr=0.130500, batch loss=0.103231, epoch loss=1.847853 Batch=1199, step=16800, lr=0.130250, batch loss=0.049358, epoch loss=1.897211 Epoch=13, step=16800, lr=0.130250, epoch loss=1.897211 Batch=59, step=16860, lr=0.130000, batch loss=0.037467, epoch loss=0.037467 Batch=119, step=16920, lr=0.129750, batch loss=0.039031, epoch loss=0.076497 Batch=179, step=16980, lr=0.129500, batch loss=0.045832, epoch loss=0.122330 Batch=239, step=17040, lr=0.129250, batch loss=0.061523, epoch loss=0.183852 Batch=299, step=17100, lr=0.129000, batch loss=0.020245, epoch loss=0.204098 Batch=359, step=17160, lr=0.128750, batch loss=0.044082, epoch loss=0.248179 Batch=419, step=17220, lr=0.128500, batch loss=0.056694, epoch loss=0.304873 Batch=479, step=17280, lr=0.128250, batch loss=0.033544, epoch loss=0.338417 Batch=539, step=17340, lr=0.128000, batch loss=0.064916, epoch loss=0.403333 Batch=599, step=17400, lr=0.127750, batch loss=0.037618, epoch loss=0.440952 Batch=659, step=17460, lr=0.127500, batch loss=0.049872, epoch loss=0.490824 Batch=719, step=17520, lr=0.127250, batch loss=0.040291, epoch loss=0.531115 Batch=779, step=17580, lr=0.127000, batch loss=0.040897, epoch loss=0.572012 Batch=839, step=17640, lr=0.126750, batch loss=0.058867, epoch loss=0.630879 Batch=899, step=17700, lr=0.126500, batch loss=0.065076, epoch loss=0.695955 Batch=959, step=17760, lr=0.126250, batch loss=0.032116, epoch loss=0.728071 Batch=1019, step=17820, lr=0.126000, batch loss=0.090235, epoch loss=0.818306 Batch=1079, step=17880, lr=0.125750, batch loss=0.019560, epoch loss=0.837866 Batch=1139, step=17940, lr=0.125500, batch loss=0.042261, epoch loss=0.880127 Batch=1199, step=18000, lr=0.125250, batch loss=0.015996, epoch loss=0.896123 Epoch=14, step=18000, lr=0.125250, epoch loss=0.896123 Batch=59, step=18060, lr=0.125000, batch loss=0.015861, epoch loss=0.015861 Batch=119, step=18120, lr=0.124750, batch loss=0.037329, epoch loss=0.053191 Batch=179, step=18180, lr=0.124500, batch loss=0.032024, epoch loss=0.085215 Batch=239, step=18240, lr=0.124250, batch loss=0.039855, epoch loss=0.125070 Batch=299, step=18300, lr=0.123750, batch loss=0.018579, epoch loss=0.143649 Batch=359, step=18360, lr=0.123750, batch loss=0.026928, epoch loss=0.170577 Batch=419, step=18420, lr=0.123500, batch loss=0.039811, epoch loss=0.210387 Batch=479, step=18480, lr=0.123250, batch loss=0.018234, epoch loss=0.228621 Batch=539, step=18540, lr=0.123000, batch loss=0.027408, epoch loss=0.256030 Batch=599, step=18600, lr=0.122500, batch loss=0.027116, epoch loss=0.283146 Batch=659, step=18660, lr=0.122250, batch loss=0.030623, epoch loss=0.313769 Batch=719, step=18720, lr=0.122250, batch loss=0.023942, epoch loss=0.337711 Batch=779, step=18780, lr=0.121750, batch loss=0.060699, epoch loss=0.398410 Batch=839, step=18840, lr=0.121750, batch loss=0.125239, epoch loss=0.523649 Batch=899, step=18900, lr=0.121250, batch loss=0.039107, epoch loss=0.562756 Batch=959, step=18960, lr=0.121250, batch loss=0.013445, epoch loss=0.576201 Batch=1019, step=19020, lr=0.121000, batch loss=0.021243, epoch loss=0.597443 Batch=1079, step=19080, lr=0.120750, batch loss=0.012553, epoch loss=0.609996 Batch=1139, step=19140, lr=0.120500, batch loss=0.026970, epoch loss=0.636967 Batch=1199, step=19200, lr=0.120000, batch loss=0.011386, epoch loss=0.648352 Epoch=15, step=19200, lr=0.120000, epoch loss=0.648352 Batch=59, step=19260, lr=0.119750, batch loss=0.007368, epoch loss=0.007368 Batch=119, step=19320, lr=0.119750, batch loss=0.027727, epoch loss=0.035095 Batch=179, step=19380, lr=0.119250, batch loss=0.071649, epoch loss=0.106744 Batch=239, step=19440, lr=0.119000, batch loss=0.029839, epoch loss=0.136583 Batch=299, step=19500, lr=0.119000, batch loss=0.010492, epoch loss=0.147075 Batch=359, step=19560, lr=0.118750, batch loss=0.025474, epoch loss=0.172549 Batch=419, step=19620, lr=0.118250, batch loss=0.021461, epoch loss=0.194010 Batch=479, step=19680, lr=0.118000, batch loss=0.008414, epoch loss=0.202423 Batch=539, step=19740, lr=0.118000, batch loss=0.017771, epoch loss=0.220194 Batch=599, step=19800, lr=0.117500, batch loss=0.024178, epoch loss=0.244372 Batch=659, step=19860, lr=0.117500, batch loss=0.020797, epoch loss=0.265169 Batch=719, step=19920, lr=0.117250, batch loss=0.058509, epoch loss=0.323678 Batch=779, step=19980, lr=0.116750, batch loss=0.085642, epoch loss=0.409321 Batch=839, step=20040, lr=0.116750, batch loss=0.032618, epoch loss=0.441939 Batch=899, step=20100, lr=0.116250, batch loss=0.029957, epoch loss=0.471896 Batch=959, step=20160, lr=0.116250, batch loss=0.018328, epoch loss=0.490224 Batch=1019, step=20220, lr=0.115750, batch loss=0.025109, epoch loss=0.515333 Batch=1079, step=20280, lr=0.115500, batch loss=0.003753, epoch loss=0.519086 Batch=1139, step=20340, lr=0.115250, batch loss=0.017240, epoch loss=0.536327 Batch=1199, step=20400, lr=0.115250, batch loss=0.007204, epoch loss=0.543531 Epoch=16, step=20400, lr=0.115250, epoch loss=0.543531 Batch=59, step=20460, lr=0.114750, batch loss=0.003371, epoch loss=0.003371 Batch=119, step=20520, lr=0.114500, batch loss=0.010400, epoch loss=0.013771 Batch=179, step=20580, lr=0.114500, batch loss=0.027580, epoch loss=0.041351 Batch=239, step=20640, lr=0.114000, batch loss=0.015284, epoch loss=0.056634 Batch=299, step=20700, lr=0.114000, batch loss=0.003217, epoch loss=0.059851 Batch=359, step=20760, lr=0.113750, batch loss=0.015567, epoch loss=0.075418 Batch=419, step=20820, lr=0.113500, batch loss=0.015451, epoch loss=0.090870 Batch=479, step=20880, lr=0.113000, batch loss=0.005672, epoch loss=0.096541 Batch=539, step=20940, lr=0.112750, batch loss=0.016272, epoch loss=0.112813 Batch=599, step=21000, lr=0.112750, batch loss=0.019469, epoch loss=0.132283 Batch=659, step=21060, lr=0.112500, batch loss=0.015440, epoch loss=0.147723 Batch=719, step=21120, lr=0.112250, batch loss=0.037575, epoch loss=0.185298 Batch=779, step=21180, lr=0.112000, batch loss=0.069187, epoch loss=0.254485 Batch=839, step=21240, lr=0.111750, batch loss=0.025867, epoch loss=0.280352 Batch=899, step=21300, lr=0.111500, batch loss=0.027465, epoch loss=0.307818 Batch=959, step=21360, lr=0.111250, batch loss=0.010900, epoch loss=0.318717 Batch=1019, step=21420, lr=0.111000, batch loss=0.010761, epoch loss=0.329479 Batch=1079, step=21480, lr=0.110750, batch loss=0.002277, epoch loss=0.331756 Batch=1139, step=21540, lr=0.110500, batch loss=0.012436, epoch loss=0.344191 Batch=1199, step=21600, lr=0.110250, batch loss=0.004888, epoch loss=0.349079 Epoch=17, step=21600, lr=0.110250, epoch loss=0.349079 Batch=59, step=21660, lr=0.110000, batch loss=0.002270, epoch loss=0.002270 Batch=119, step=21720, lr=0.109750, batch loss=0.007482, epoch loss=0.009752 Batch=179, step=21780, lr=0.109500, batch loss=0.012931, epoch loss=0.022683 Batch=239, step=21840, lr=0.109250, batch loss=0.009794, epoch loss=0.032477 Batch=299, step=21900, lr=0.109000, batch loss=0.004552, epoch loss=0.037029 Batch=359, step=21960, lr=0.108750, batch loss=0.012970, epoch loss=0.049999 Batch=419, step=22020, lr=0.108500, batch loss=0.013093, epoch loss=0.063092 Batch=479, step=22080, lr=0.108250, batch loss=0.003661, epoch loss=0.066753 Batch=539, step=22140, lr=0.108000, batch loss=0.016192, epoch loss=0.082945 Batch=599, step=22200, lr=0.107750, batch loss=0.016359, epoch loss=0.099304 Batch=659, step=22260, lr=0.107500, batch loss=0.014554, epoch loss=0.113858 Batch=719, step=22320, lr=0.107250, batch loss=0.030364, epoch loss=0.144222 Batch=779, step=22380, lr=0.106750, batch loss=0.043485, epoch loss=0.187708 Batch=839, step=22440, lr=0.106750, batch loss=0.021760, epoch loss=0.209467 Batch=899, step=22500, lr=0.106500, batch loss=0.022272, epoch loss=0.231739 Batch=959, step=22560, lr=0.106250, batch loss=0.010834, epoch loss=0.242574 Batch=1019, step=22620, lr=0.106000, batch loss=0.010106, epoch loss=0.252680 Batch=1079, step=22680, lr=0.105750, batch loss=0.000906, epoch loss=0.253586 Batch=1139, step=22740, lr=0.105500, batch loss=0.011598, epoch loss=0.265183 Batch=1199, step=22800, lr=0.105250, batch loss=0.004582, epoch loss=0.269765 Epoch=18, step=22800, lr=0.105250, epoch loss=0.269765 Batch=59, step=22860, lr=0.105000, batch loss=0.001596, epoch loss=0.001596 Batch=119, step=22920, lr=0.104750, batch loss=0.005812, epoch loss=0.007408 Batch=179, step=22980, lr=0.104500, batch loss=0.011798, epoch loss=0.019206 Batch=239, step=23040, lr=0.104250, batch loss=0.010180, epoch loss=0.029385 Batch=299, step=23100, lr=0.104000, batch loss=0.011482, epoch loss=0.040867 Batch=359, step=23160, lr=0.103750, batch loss=0.011769, epoch loss=0.052636 Batch=419, step=23220, lr=0.103500, batch loss=0.010973, epoch loss=0.063610 Batch=479, step=23280, lr=0.103250, batch loss=0.002387, epoch loss=0.065997 Batch=539, step=23340, lr=0.103000, batch loss=0.016481, epoch loss=0.082478 Batch=599, step=23400, lr=0.102750, batch loss=0.014192, epoch loss=0.096670 Batch=659, step=23460, lr=0.102250, batch loss=0.012599, epoch loss=0.109269 Batch=719, step=23520, lr=0.102250, batch loss=0.017142, epoch loss=0.126411 Batch=779, step=23580, lr=0.102000, batch loss=0.019597, epoch loss=0.146008 Batch=839, step=23640, lr=0.101750, batch loss=0.026584, epoch loss=0.172592 Batch=899, step=23700, lr=0.101500, batch loss=0.023399, epoch loss=0.195990 Batch=959, step=23760, lr=0.101250, batch loss=0.008314, epoch loss=0.204305 Batch=1019, step=23820, lr=0.101000, batch loss=0.008154, epoch loss=0.212458 Batch=1079, step=23880, lr=0.100750, batch loss=0.000722, epoch loss=0.213180 Batch=1139, step=23940, lr=0.100250, batch loss=0.009779, epoch loss=0.222959 Batch=1199, step=24000, lr=0.100250, batch loss=0.004775, epoch loss=0.227734 Epoch=19, step=24000, lr=0.100250, epoch loss=0.227734 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:32.45 ---> saved as "b913b756896cdda9de002e46d1daf5c49756a8cbef4ba4380dd258c6051a040f" Job succeeded 2025-03-21 15:32.46: Job succeeded