2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (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 2032408f 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 2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-22 15:30.21: 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")) ) 2025-03-22 15:30.21: Waiting for resource in pool OCluster 2025-03-22 15:30.21: Waiting for worker… 2025-03-22 15:30.22: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..` (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-22 15:30.23 ---> 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")) 2025-03-22 15:30.23 ---> 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 2025-03-22 15:30.23 ---> 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 2025-03-22 15:30.23 ---> using "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-22 15:30.23 ---> 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) 2025-03-22 15:30.23 ---> using "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-22 15:30.23 ---> using "940d474abf2849215e847200ba064d0fc61355e3af095775ce641679542dce8a" from cache /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) 2025-03-22 15:30.23 ---> using "bf7ed5143891e6898c32547d9d05a2f8eab0d2d7bd65edee61534692dfeea77d" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-22 15:30.23 ---> using "ee723431bb7c77d4113dc23cf793f897c44132a8bbfa0d041394a281878b0552" from cache /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/main amd64 Packages [845 kB] - Get:6 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Get:7 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1351 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-backports/main amd64 Packages [48.0 kB] - Get:12 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [30.9 kB] - Fetched 6760 kB in 1s (9285 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) ... 2025-03-22 15:30.23 ---> using "3c2bd7aecb5c86d840b9a63a5f3bc860e8a6e04dcc0a33d6be3a9b3e19f4539f" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.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 ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-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 ocaml-syntax-shims.1.0.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> 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 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-03-22 15:30.23 ---> using "84d9a5630f01f5c5f0932552692517a76658d4c0015cf15daedc762eeca56a2d" from cache /src: (copy (src .) (dst /src)) 2025-03-22 15:30.23 ---> saved as "e28427a35b972d70de5976cab7918d409d9ecca15081f2c59413e40fc27a4970" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/560a55cc12a19dc17303c6d9749d3bff/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/41741e2ffdf5eab8cb835d9c6351e62e/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/41741e2ffdf5eab8cb835d9c6351e62e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.175750, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207489, epoch loss=4.669925 Batch=1139, step=5940, lr=0.175500, batch loss=0.240219, epoch loss=4.910144 Batch=1199, step=6000, lr=0.175250, batch loss=0.186922, epoch loss=5.097066 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097066 Batch=59, step=6060, lr=0.175000, batch loss=0.230304, epoch loss=0.230304 Batch=119, step=6120, lr=0.174750, batch loss=0.194470, epoch loss=0.424773 Batch=179, step=6180, lr=0.174500, batch loss=0.201550, epoch loss=0.626323 Batch=239, step=6240, lr=0.174250, batch loss=0.302284, epoch loss=0.928607 Batch=299, step=6300, lr=0.174000, batch loss=0.204120, epoch loss=1.132727 Batch=359, step=6360, lr=0.173750, batch loss=0.265950, epoch loss=1.398677 Batch=419, step=6420, lr=0.173500, batch loss=0.265409, epoch loss=1.664086 Batch=479, step=6480, lr=0.173250, batch loss=0.243177, epoch loss=1.907263 Batch=539, step=6540, lr=0.173000, batch loss=0.193160, epoch loss=2.100423 Batch=599, step=6600, lr=0.172750, batch loss=0.234320, epoch loss=2.334743 Batch=659, step=6660, lr=0.172500, batch loss=0.312176, epoch loss=2.646919 Batch=719, step=6720, lr=0.172250, batch loss=0.314107, epoch loss=2.961026 Batch=779, step=6780, lr=0.172000, batch loss=0.333356, epoch loss=3.294382 Batch=839, step=6840, lr=0.171750, batch loss=0.303649, epoch loss=3.598032 Batch=899, step=6900, lr=0.171500, batch loss=0.268605, epoch loss=3.866637 Batch=959, step=6960, lr=0.171250, batch loss=0.210783, epoch loss=4.077420 Batch=1019, step=7020, lr=0.171000, batch loss=0.330087, epoch loss=4.407506 Batch=1079, step=7080, lr=0.170750, batch loss=0.180404, epoch loss=4.587910 Batch=1139, step=7140, lr=0.170500, batch loss=0.216152, epoch loss=4.804063 Batch=1199, step=7200, lr=0.170250, batch loss=0.185775, epoch loss=4.989838 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989838 Batch=59, step=7260, lr=0.170000, batch loss=0.232263, epoch loss=0.232263 Batch=119, step=7320, lr=0.169750, batch loss=0.184724, epoch loss=0.416987 Batch=179, step=7380, lr=0.169500, batch loss=0.196627, epoch loss=0.613614 Batch=239, step=7440, lr=0.169250, batch loss=0.291579, epoch loss=0.905193 Batch=299, step=7500, lr=0.169000, batch loss=0.201092, epoch loss=1.106284 Batch=359, step=7560, lr=0.168750, batch loss=0.258375, epoch loss=1.364660 Batch=419, step=7620, lr=0.168500, batch loss=0.257506, epoch loss=1.622166 Batch=479, step=7680, lr=0.168250, batch loss=0.235183, epoch loss=1.857349 Batch=539, step=7740, lr=0.168000, batch loss=0.188741, epoch loss=2.046090 Batch=599, step=7800, lr=0.167750, batch loss=0.223004, epoch loss=2.269094 Batch=659, step=7860, lr=0.167500, batch loss=0.306428, epoch loss=2.575521 Batch=719, step=7920, lr=0.167250, batch loss=0.308516, epoch loss=2.884038 Batch=779, step=7980, lr=0.167000, batch loss=0.330730, epoch loss=3.214767 Batch=839, step=8040, lr=0.166750, batch loss=0.291940, epoch loss=3.506707 Batch=899, step=8100, lr=0.166500, batch loss=0.262371, epoch loss=3.769078 Batch=959, step=8160, lr=0.166250, batch loss=0.194363, epoch loss=3.963441 Batch=1019, step=8220, lr=0.166000, batch loss=0.326526, epoch loss=4.289967 Batch=1079, step=8280, lr=0.165750, batch loss=0.184656, epoch loss=4.474623 Batch=1139, step=8340, lr=0.165500, batch loss=0.218730, epoch loss=4.693353 Batch=1199, step=8400, lr=0.165250, batch loss=0.173608, epoch loss=4.866961 Epoch=6, step=8400, lr=0.165250, epoch loss=4.866961 Batch=59, step=8460, lr=0.165000, batch loss=0.211167, epoch loss=0.211167 Batch=119, step=8520, lr=0.164750, batch loss=0.173048, epoch loss=0.384214 Batch=179, step=8580, lr=0.164500, batch loss=0.188428, epoch loss=0.572643 Batch=239, step=8640, lr=0.164250, batch loss=0.280332, epoch loss=0.852975 Batch=299, step=8700, lr=0.164000, batch loss=0.192020, epoch loss=1.044995 Batch=359, step=8760, lr=0.163750, batch loss=0.248166, epoch loss=1.293161 Batch=419, step=8820, lr=0.163500, batch loss=0.246012, epoch loss=1.539173 Batch=479, step=8880, lr=0.163250, batch loss=0.227866, epoch loss=1.767039 Batch=539, step=8940, lr=0.163000, batch loss=0.178374, epoch loss=1.945413 Batch=599, step=9000, lr=0.162750, batch loss=0.216569, epoch loss=2.161982 Batch=659, step=9060, lr=0.162500, batch loss=0.294291, epoch loss=2.456273 Batch=719, step=9120, lr=0.162250, batch loss=0.297837, epoch loss=2.754110 Batch=779, step=9180, lr=0.162000, batch loss=0.315451, epoch loss=3.069561 Batch=839, step=9240, lr=0.161750, batch loss=0.280212, epoch loss=3.349773 Batch=899, step=9300, lr=0.161500, batch loss=0.253451, epoch loss=3.603224 Batch=959, step=9360, lr=0.161250, batch loss=0.208232, epoch loss=3.811456 Batch=1019, step=9420, lr=0.161000, batch loss=0.297207, epoch loss=4.108663 Batch=1079, step=9480, lr=0.160750, batch loss=0.173127, epoch loss=4.281790 Batch=1139, step=9540, lr=0.160500, batch loss=0.200573, epoch loss=4.482364 Batch=1199, step=9600, lr=0.160250, batch loss=0.164585, epoch loss=4.646949 Epoch=7, step=9600, lr=0.160250, epoch loss=4.646949 Batch=59, step=9660, lr=0.160000, batch loss=0.188685, epoch loss=0.188685 Batch=119, step=9720, lr=0.159750, batch loss=0.158557, epoch loss=0.347242 Batch=179, step=9780, lr=0.159500, batch loss=0.178672, epoch loss=0.525914 Batch=239, step=9840, lr=0.159250, batch loss=0.266775, epoch loss=0.792689 Batch=299, step=9900, lr=0.159000, batch loss=0.180790, epoch loss=0.973479 Batch=359, step=9960, lr=0.158750, batch loss=0.245487, epoch loss=1.218966 Batch=419, step=10020, lr=0.158500, batch loss=0.249508, epoch loss=1.468474 Batch=479, step=10080, lr=0.158250, batch loss=0.218043, epoch loss=1.686517 Batch=539, step=10140, lr=0.158000, batch loss=0.170060, epoch loss=1.856576 Batch=599, step=10200, lr=0.157750, batch loss=0.207239, epoch loss=2.063816 Batch=659, step=10260, lr=0.157500, batch loss=0.278235, epoch loss=2.342051 Batch=719, step=10320, lr=0.157250, batch loss=0.278403, epoch loss=2.620454 Batch=779, step=10380, lr=0.157000, batch loss=0.291568, epoch loss=2.912023 Batch=839, step=10440, lr=0.156750, batch loss=0.270674, epoch loss=3.182697 Batch=899, step=10500, lr=0.156500, batch loss=0.236981, epoch loss=3.419678 Batch=959, step=10560, lr=0.156250, batch loss=0.179161, epoch loss=3.598839 Batch=1019, step=10620, lr=0.156000, batch loss=0.296412, epoch loss=3.895251 Batch=1079, step=10680, lr=0.155750, batch loss=0.182429, epoch loss=4.077679 Batch=1139, step=10740, lr=0.155500, batch loss=0.197613, epoch loss=4.275293 Batch=1199, step=10800, lr=0.155250, batch loss=0.154466, epoch loss=4.429759 Epoch=8, step=10800, lr=0.155250, epoch loss=4.429759 Batch=59, step=10860, lr=0.155000, batch loss=0.179809, epoch loss=0.179809 Batch=119, step=10920, lr=0.154750, batch loss=0.149371, epoch loss=0.329179 Batch=179, step=10980, lr=0.154500, batch loss=0.165453, epoch loss=0.494632 Batch=239, step=11040, lr=0.154250, batch loss=0.241031, epoch loss=0.735664 Batch=299, step=11100, lr=0.154000, batch loss=0.171622, epoch loss=0.907286 Batch=359, step=11160, lr=0.153750, batch loss=0.220002, epoch loss=1.127288 Batch=419, step=11220, lr=0.153500, batch loss=0.215714, epoch loss=1.343002 Batch=479, step=11280, lr=0.153250, batch loss=0.201884, epoch loss=1.544886 Batch=539, step=11340, lr=0.153000, batch loss=0.158975, epoch loss=1.703861 Batch=599, step=11400, lr=0.152750, batch loss=0.178541, epoch loss=1.882401 Batch=659, step=11460, lr=0.152500, batch loss=0.263901, epoch loss=2.146302 Batch=719, step=11520, lr=0.152250, batch loss=0.256886, epoch loss=2.403188 Batch=779, step=11580, lr=0.152000, batch loss=0.271211, epoch loss=2.674400 Batch=839, step=11640, lr=0.151750, batch loss=0.256161, epoch loss=2.930560 Batch=899, step=11700, lr=0.151500, batch loss=0.212441, epoch loss=3.143001 Batch=959, step=11760, lr=0.151250, batch loss=0.169580, epoch loss=3.312581 Batch=1019, step=11820, lr=0.151000, batch loss=0.265236, epoch loss=3.577816 Batch=1079, step=11880, lr=0.150750, batch loss=0.151429, epoch loss=3.729245 Batch=1139, step=11940, lr=0.150500, batch loss=0.185856, epoch loss=3.915101 Batch=1199, step=12000, lr=0.150250, batch loss=0.139369, epoch loss=4.054470 Epoch=9, step=12000, lr=0.150250, epoch loss=4.054470 Batch=59, step=12060, lr=0.150000, batch loss=0.157817, epoch loss=0.157817 Batch=119, step=12120, lr=0.149750, batch loss=0.128121, epoch loss=0.285937 Batch=179, step=12180, lr=0.149500, batch loss=0.149445, epoch loss=0.435382 Batch=239, step=12240, lr=0.149250, batch loss=0.217863, epoch loss=0.653245 Batch=299, step=12300, lr=0.149000, batch loss=0.141839, epoch loss=0.795084 Batch=359, step=12360, lr=0.148750, batch loss=0.197034, epoch loss=0.992117 Batch=419, step=12420, lr=0.148500, batch loss=0.206091, epoch loss=1.198209 Batch=479, step=12480, lr=0.148250, batch loss=0.178521, epoch loss=1.376730 Batch=539, step=12540, lr=0.148000, batch loss=0.142404, epoch loss=1.519133 Batch=599, step=12600, lr=0.147750, batch loss=0.150353, epoch loss=1.669486 Batch=659, step=12660, lr=0.147500, batch loss=0.223484, epoch loss=1.892970 Batch=719, step=12720, lr=0.147250, batch loss=0.233322, epoch loss=2.126292 Batch=779, step=12780, lr=0.147000, batch loss=0.252640, epoch loss=2.378932 Batch=839, step=12840, lr=0.146750, batch loss=0.235124, epoch loss=2.614056 Batch=899, step=12900, lr=0.146500, batch loss=0.228896, epoch loss=2.842952 Batch=959, step=12960, lr=0.146250, batch loss=0.141048, epoch loss=2.984001 Batch=1019, step=13020, lr=0.146000, batch loss=0.218111, epoch loss=3.202112 Batch=1079, step=13080, lr=0.145750, batch loss=0.109246, epoch loss=3.311358 Batch=1139, step=13140, lr=0.145500, batch loss=0.147658, epoch loss=3.459016 Batch=1199, step=13200, lr=0.145250, batch loss=0.115267, epoch loss=3.574282 Epoch=10, step=13200, lr=0.145250, epoch loss=3.574282 Batch=59, step=13260, lr=0.145000, batch loss=0.133269, epoch loss=0.133269 Batch=119, step=13320, lr=0.144750, batch loss=0.111256, epoch loss=0.244526 Batch=179, step=13380, lr=0.144500, batch loss=0.126827, epoch loss=0.371353 Batch=239, step=13440, lr=0.144250, batch loss=0.184909, epoch loss=0.556262 Batch=299, step=13500, lr=0.144000, batch loss=0.116059, epoch loss=0.672321 Batch=359, step=13560, lr=0.143750, batch loss=0.158219, epoch loss=0.830540 Batch=419, step=13620, lr=0.143500, batch loss=0.160251, epoch loss=0.990791 Batch=479, step=13680, lr=0.143250, batch loss=0.149628, epoch loss=1.140419 Batch=539, step=13740, lr=0.143000, batch loss=0.122504, epoch loss=1.262923 Batch=599, step=13800, lr=0.142750, batch loss=0.119414, epoch loss=1.382336 Batch=659, step=13860, lr=0.142500, batch loss=0.175210, epoch loss=1.557547 Batch=719, step=13920, lr=0.142250, batch loss=0.175944, epoch loss=1.733490 Batch=779, step=13980, lr=0.142000, batch loss=0.196304, epoch loss=1.929794 Batch=839, step=14040, lr=0.141750, batch loss=0.186282, epoch loss=2.116076 Batch=899, step=14100, lr=0.141500, batch loss=0.159015, epoch loss=2.275091 Batch=959, step=14160, lr=0.141250, batch loss=0.157548, epoch loss=2.432639 Batch=1019, step=14220, lr=0.141000, batch loss=0.377316, epoch loss=2.809955 Batch=1079, step=14280, lr=0.140750, batch loss=0.068219, epoch loss=2.878174 Batch=1139, step=14340, lr=0.140500, batch loss=0.121781, epoch loss=2.999955 Batch=1199, step=14400, lr=0.140250, batch loss=0.091817, epoch loss=3.091772 Epoch=11, step=14400, lr=0.140250, epoch loss=3.091772 Batch=59, step=14460, lr=0.140000, batch loss=0.111289, epoch loss=0.111289 Batch=119, step=14520, lr=0.139750, batch loss=0.102335, epoch loss=0.213625 Batch=179, step=14580, lr=0.139500, batch loss=0.106558, epoch loss=0.320182 Batch=239, step=14640, lr=0.139250, batch loss=0.140485, epoch loss=0.460667 Batch=299, step=14700, lr=0.139000, batch loss=0.081376, epoch loss=0.542043 Batch=359, step=14760, lr=0.138750, batch loss=0.124634, epoch loss=0.666677 Batch=419, step=14820, lr=0.138500, batch loss=0.124413, epoch loss=0.791090 Batch=479, step=14880, lr=0.138250, batch loss=0.108015, epoch loss=0.899105 Batch=539, step=14940, lr=0.138000, batch loss=0.109155, epoch loss=1.008260 Batch=599, step=15000, lr=0.137750, batch loss=0.088079, epoch loss=1.096339 Batch=659, step=15060, lr=0.137500, batch loss=0.128407, epoch loss=1.224745 Batch=719, step=15120, lr=0.137250, batch loss=0.136146, epoch loss=1.360892 Batch=779, step=15180, lr=0.137000, batch loss=0.160933, epoch loss=1.521824 Batch=839, step=15240, lr=0.136750, batch loss=0.161316, epoch loss=1.683140 Batch=899, step=15300, lr=0.136500, batch loss=0.242462, epoch loss=1.925602 Batch=959, step=15360, lr=0.136250, batch loss=0.057907, epoch loss=1.983509 Batch=1019, step=15420, lr=0.136000, batch loss=0.138686, epoch loss=2.122195 Batch=1079, step=15480, lr=0.135750, batch loss=0.047276, epoch loss=2.169471 Batch=1139, step=15540, lr=0.135500, batch loss=0.110340, epoch loss=2.279811 Batch=1199, step=15600, lr=0.135250, batch loss=0.060694, epoch loss=2.340505 Epoch=12, step=15600, lr=0.135250, epoch loss=2.340505 Batch=59, step=15660, lr=0.135000, batch loss=0.080201, epoch loss=0.080201 Batch=119, step=15720, lr=0.134750, batch loss=0.117356, epoch loss=0.197557 Batch=179, step=15780, lr=0.134500, batch loss=0.091137, epoch loss=0.288694 Batch=239, step=15840, lr=0.134250, batch loss=0.094859, epoch loss=0.383553 Batch=299, step=15900, lr=0.134000, batch loss=0.039482, epoch loss=0.423035 Batch=359, step=15960, lr=0.133750, batch loss=0.079882, epoch loss=0.502917 Batch=419, step=16020, lr=0.133500, batch loss=0.079991, epoch loss=0.582908 Batch=479, step=16080, lr=0.133250, batch loss=0.072569, epoch loss=0.655477 Batch=539, step=16140, lr=0.133000, batch loss=0.045504, epoch loss=0.700980 Batch=599, step=16200, lr=0.132750, batch loss=0.089443, epoch loss=0.790423 Batch=659, step=16260, lr=0.132500, batch loss=0.077332, epoch loss=0.867755 Batch=719, step=16320, lr=0.132250, batch loss=0.070966, epoch loss=0.938721 Batch=779, step=16380, lr=0.132000, batch loss=0.069299, epoch loss=1.008020 Batch=839, step=16440, lr=0.131750, batch loss=0.106064, epoch loss=1.114083 Batch=899, step=16500, lr=0.131500, batch loss=0.147877, epoch loss=1.261961 Batch=959, step=16560, lr=0.131250, batch loss=0.062389, epoch loss=1.324350 Batch=1019, step=16620, lr=0.131000, batch loss=0.141829, epoch loss=1.466179 Batch=1079, step=16680, lr=0.130750, batch loss=0.024763, epoch loss=1.490942 Batch=1139, step=16740, lr=0.130500, batch loss=0.060940, epoch loss=1.551882 Batch=1199, step=16800, lr=0.130250, batch loss=0.030653, epoch loss=1.582535 Epoch=13, step=16800, lr=0.130250, epoch loss=1.582535 Batch=59, step=16860, lr=0.130000, batch loss=0.034990, epoch loss=0.034990 Batch=119, step=16920, lr=0.129750, batch loss=0.041544, epoch loss=0.076534 Batch=179, step=16980, lr=0.129500, batch loss=0.042239, epoch loss=0.118773 Batch=239, step=17040, lr=0.129250, batch loss=0.054675, epoch loss=0.173448 Batch=299, step=17100, lr=0.129000, batch loss=0.021201, epoch loss=0.194649 Batch=359, step=17160, lr=0.128750, batch loss=0.043536, epoch loss=0.238185 Batch=419, step=17220, lr=0.128500, batch loss=0.082171, epoch loss=0.320356 Batch=479, step=17280, lr=0.128250, batch loss=0.028551, epoch loss=0.348907 Batch=539, step=17340, lr=0.128000, batch loss=0.037784, epoch loss=0.386690 Batch=599, step=17400, lr=0.127750, batch loss=0.033785, epoch loss=0.420475 Batch=659, step=17460, lr=0.127500, batch loss=0.045343, epoch loss=0.465819 Batch=719, step=17520, lr=0.127250, batch loss=0.050700, epoch loss=0.516518 Batch=779, step=17580, lr=0.127000, batch loss=0.120648, epoch loss=0.637166 Batch=839, step=17640, lr=0.126750, batch loss=0.103015, epoch loss=0.740181 Batch=899, step=17700, lr=0.126500, batch loss=0.148001, epoch loss=0.888182 Batch=959, step=17760, lr=0.126250, batch loss=0.019131, epoch loss=0.907313 Batch=1019, step=17820, lr=0.126000, batch loss=0.030969, epoch loss=0.938282 Batch=1079, step=17880, lr=0.125750, batch loss=0.013029, epoch loss=0.951311 Batch=1139, step=17940, lr=0.125500, batch loss=0.037383, epoch loss=0.988695 Batch=1199, step=18000, lr=0.125250, batch loss=0.017052, epoch loss=1.005746 Epoch=14, step=18000, lr=0.125250, epoch loss=1.005746 Batch=59, step=18060, lr=0.125000, batch loss=0.012024, epoch loss=0.012024 Batch=119, step=18120, lr=0.124750, batch loss=0.020369, epoch loss=0.032393 Batch=179, step=18180, lr=0.124500, batch loss=0.028489, epoch loss=0.060882 Batch=239, step=18240, lr=0.124250, batch loss=0.038298, epoch loss=0.099180 Batch=299, step=18300, lr=0.124000, batch loss=0.016112, epoch loss=0.115292 Batch=359, step=18360, lr=0.123750, batch loss=0.024245, epoch loss=0.139537 Batch=419, step=18420, lr=0.123500, batch loss=0.031537, epoch loss=0.171074 Batch=479, step=18480, lr=0.123250, batch loss=0.022086, epoch loss=0.193160 Batch=539, step=18540, lr=0.123000, batch loss=0.043886, epoch loss=0.237046 Batch=599, step=18600, lr=0.122750, batch loss=0.026199, epoch loss=0.263245 Batch=659, step=18660, lr=0.122500, batch loss=0.033079, epoch loss=0.296325 Batch=719, step=18720, lr=0.122250, batch loss=0.042468, epoch loss=0.338793 Batch=779, step=18780, lr=0.122000, batch loss=0.119867, epoch loss=0.458660 Batch=839, step=18840, lr=0.121750, batch loss=0.053978, epoch loss=0.512638 Batch=899, step=18900, lr=0.121500, batch loss=0.054637, epoch loss=0.567275 Batch=959, step=18960, lr=0.121250, batch loss=0.014514, epoch loss=0.581788 Batch=1019, step=19020, lr=0.121000, batch loss=0.022358, epoch loss=0.604146 Batch=1079, step=19080, lr=0.120750, batch loss=0.008499, epoch loss=0.612646 Batch=1139, step=19140, lr=0.120500, batch loss=0.023734, epoch loss=0.636380 Batch=1199, step=19200, lr=0.120250, batch loss=0.009464, epoch loss=0.645844 Epoch=15, step=19200, lr=0.120250, epoch loss=0.645844 Batch=59, step=19260, lr=0.120000, batch loss=0.004864, epoch loss=0.004864 Batch=119, step=19320, lr=0.119750, batch loss=0.018719, epoch loss=0.023582 Batch=179, step=19380, lr=0.119500, batch loss=0.045449, epoch loss=0.069031 Batch=239, step=19440, lr=0.119250, batch loss=0.020814, epoch loss=0.089846 Batch=299, step=19500, lr=0.119000, batch loss=0.010270, epoch loss=0.100115 Batch=359, step=19560, lr=0.118750, batch loss=0.024499, epoch loss=0.124615 Batch=419, step=19620, lr=0.118500, batch loss=0.019534, epoch loss=0.144149 Batch=479, step=19680, lr=0.118250, batch loss=0.009583, epoch loss=0.153732 Batch=539, step=19740, lr=0.118000, batch loss=0.020337, epoch loss=0.174070 Batch=599, step=19800, lr=0.117750, batch loss=0.019571, epoch loss=0.193640 Batch=659, step=19860, lr=0.117500, batch loss=0.018881, epoch loss=0.212521 Batch=719, step=19920, lr=0.117250, batch loss=0.015952, epoch loss=0.228473 Batch=779, step=19980, lr=0.117000, batch loss=0.019080, epoch loss=0.247553 Batch=839, step=20040, lr=0.116750, batch loss=0.030110, epoch loss=0.277664 Batch=899, step=20100, lr=0.116500, batch loss=0.032890, epoch loss=0.310554 Batch=959, step=20160, lr=0.116250, batch loss=0.012919, epoch loss=0.323473 Batch=1019, step=20220, lr=0.116000, batch loss=0.014347, epoch loss=0.337819 Batch=1079, step=20280, lr=0.115750, batch loss=0.004548, epoch loss=0.342367 Batch=1139, step=20340, lr=0.115500, batch loss=0.018132, epoch loss=0.360499 Batch=1199, step=20400, lr=0.115250, batch loss=0.006835, epoch loss=0.367334 Epoch=16, step=20400, lr=0.115250, epoch loss=0.367334 Batch=59, step=20460, lr=0.115000, batch loss=0.003579, epoch loss=0.003579 Batch=119, step=20520, lr=0.114750, batch loss=0.008693, epoch loss=0.012272 Batch=179, step=20580, lr=0.114500, batch loss=0.015896, epoch loss=0.028168 Batch=239, step=20640, lr=0.114250, batch loss=0.015088, epoch loss=0.043256 Batch=299, step=20700, lr=0.114000, batch loss=0.004916, epoch loss=0.048172 Batch=359, step=20760, lr=0.113750, batch loss=0.013216, epoch loss=0.061388 Batch=419, step=20820, lr=0.113500, batch loss=0.013685, epoch loss=0.075074 Batch=479, step=20880, lr=0.113250, batch loss=0.006510, epoch loss=0.081584 Batch=539, step=20940, lr=0.113000, batch loss=0.015446, epoch loss=0.097030 Batch=599, step=21000, lr=0.112750, batch loss=0.020564, epoch loss=0.117594 Batch=659, step=21060, lr=0.112500, batch loss=0.014101, epoch loss=0.131696 Batch=719, step=21120, lr=0.112250, batch loss=0.043113, epoch loss=0.174809 Batch=779, step=21180, lr=0.112000, batch loss=0.075494, epoch loss=0.250303 Batch=839, step=21240, lr=0.111750, batch loss=0.025866, epoch loss=0.276169 Batch=899, step=21300, lr=0.111500, batch loss=0.027657, epoch loss=0.303826 Batch=959, step=21360, lr=0.111250, batch loss=0.010116, epoch loss=0.313942 Batch=1019, step=21420, lr=0.111000, batch loss=0.012157, epoch loss=0.326099 Batch=1079, step=21480, lr=0.110750, batch loss=0.002678, epoch loss=0.328777 Batch=1139, step=21540, lr=0.110500, batch loss=0.011797, epoch loss=0.340574 Batch=1199, step=21600, lr=0.110250, batch loss=0.006485, epoch loss=0.347060 Epoch=17, step=21600, lr=0.110250, epoch loss=0.347060 Batch=59, step=21660, lr=0.110000, batch loss=0.002953, epoch loss=0.002953 Batch=119, step=21720, lr=0.109750, batch loss=0.006869, epoch loss=0.009822 Batch=179, step=21780, lr=0.109500, batch loss=0.012669, epoch loss=0.022492 Batch=239, step=21840, lr=0.109250, batch loss=0.009758, epoch loss=0.032249 Batch=299, step=21900, lr=0.109000, batch loss=0.011014, epoch loss=0.043264 Batch=359, step=21960, lr=0.108750, batch loss=0.014014, epoch loss=0.057278 Batch=419, step=22020, lr=0.108500, batch loss=0.013280, epoch loss=0.070558 Batch=479, step=22080, lr=0.108250, batch loss=0.003226, epoch loss=0.073784 Batch=539, step=22140, lr=0.108000, batch loss=0.017187, epoch loss=0.090971 Batch=599, step=22200, lr=0.107750, batch loss=0.016106, epoch loss=0.107077 Batch=659, step=22260, lr=0.107500, batch loss=0.012288, epoch loss=0.119364 Batch=719, step=22320, lr=0.107250, batch loss=0.025666, epoch loss=0.145030 Batch=779, step=22380, lr=0.107000, batch loss=0.047013, epoch loss=0.192043 Batch=839, step=22440, lr=0.106750, batch loss=0.021988, epoch loss=0.214031 Batch=899, step=22500, lr=0.106500, batch loss=0.022587, epoch loss=0.236618 Batch=959, step=22560, lr=0.106250, batch loss=0.011161, epoch loss=0.247779 Batch=1019, step=22620, lr=0.106000, batch loss=0.009699, epoch loss=0.257478 Batch=1079, step=22680, lr=0.105750, batch loss=0.000774, epoch loss=0.258252 Batch=1139, step=22740, lr=0.105500, batch loss=0.011060, epoch loss=0.269312 Batch=1199, step=22800, lr=0.105250, batch loss=0.003984, epoch loss=0.273296 Epoch=18, step=22800, lr=0.105250, epoch loss=0.273296 Batch=59, step=22860, lr=0.105000, batch loss=0.000877, epoch loss=0.000877 Batch=119, step=22920, lr=0.104750, batch loss=0.006372, epoch loss=0.007249 Batch=179, step=22980, lr=0.104500, batch loss=0.011382, epoch loss=0.018631 Batch=239, step=23040, lr=0.104250, batch loss=0.009633, epoch loss=0.028263 Batch=299, step=23100, lr=0.104000, batch loss=0.010389, epoch loss=0.038653 Batch=359, step=23160, lr=0.103750, batch loss=0.011880, epoch loss=0.050533 Batch=419, step=23220, lr=0.103500, batch loss=0.011176, epoch loss=0.061709 Batch=479, step=23280, lr=0.103250, batch loss=0.002369, epoch loss=0.064078 Batch=539, step=23340, lr=0.103000, batch loss=0.016447, epoch loss=0.080525 Batch=599, step=23400, lr=0.102750, batch loss=0.013653, epoch loss=0.094178 Batch=659, step=23460, lr=0.102500, batch loss=0.011750, epoch loss=0.105928 Batch=719, step=23520, lr=0.102250, batch loss=0.011786, epoch loss=0.117714 Batch=779, step=23580, lr=0.102000, batch loss=0.019119, epoch loss=0.136833 Batch=839, step=23640, lr=0.101750, batch loss=0.026489, epoch loss=0.163322 Batch=899, step=23700, lr=0.101500, batch loss=0.023069, epoch loss=0.186391 Batch=959, step=23760, lr=0.101250, batch loss=0.008687, epoch loss=0.195077 Batch=1019, step=23820, lr=0.101000, batch loss=0.008702, epoch loss=0.203779 Batch=1079, step=23880, lr=0.100750, batch loss=0.000895, epoch loss=0.204674 Batch=1139, step=23940, lr=0.100500, batch loss=0.008978, epoch loss=0.213651 Batch=1199, step=24000, lr=0.100250, batch loss=0.004688, epoch loss=0.218340 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218340 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-22 15:30.51 ---> saved as "ed200910c5ecdab5a9479e68dd097455e775028cacc641eb3860305e47171f98" Job succeeded 2025-03-22 15:30.51: Job succeeded