2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20 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 2025-03-20 22:11.56: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 22:11.56: 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")) ) 2025-03-20 22:11.56: Waiting for resource in pool OCluster 2025-03-20 22:11.56: Waiting for worker… 2025-03-20 22:15.38: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 4ee46a20 Update GitHub actions (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-20 22:16.32 ---> saved as "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" /: (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")) 2025-03-20 22:16.32 ---> saved as "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [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 <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:18.30 ---> saved as "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" /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 2025-03-20 22:18.31 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:18.31 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:20.14 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:20.14 ---> saved as "49ccd087f7d7123ad22e95829309c9c68b651627445e8127bbb6b5bc5de8089a" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:20.23 ---> saved as "d9f9a5483f7b706b2f6791e7be093a3d6a0cc5ef4dd57202b1037ea42ef297fb" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:20.24 ---> saved as "20a20da0a682b7158fc1d8d0d333b2e1252fe06160fc1dc7a53db647cedce36c" /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://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:6 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 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 [1350 kB] - Fetched 6681 kB in 2s (4220 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) ... 2025-03-20 22:21.11 ---> saved as "169708568efe22a8acbe85b668d351f1cef187173c893ab59eb729fd76ba88d7" /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_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed 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_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> 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 ocaml-syntax-shims.1.0.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> 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 variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> 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) 2025-03-20 22:24.40 ---> saved as "127074d52528aa0969e5a0c1f5ada80af679f7500f706af87bcff57f6a304452" /src: (copy (src .) (dst /src)) 2025-03-20 22:24.42 ---> saved as "d40d093848f85acab639e7bf06cf00bfa7639af2c3f483fd5d6ffba92eb9c36e" /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/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/800925a36971aba789ed180ce2deabef/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/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=0.178250, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239688, epoch loss=1.912744 Batch=539, step=5340, lr=0.178000, batch loss=0.189458, epoch loss=2.102202 Batch=599, step=5400, lr=0.177750, batch loss=0.231006, epoch loss=2.333208 Batch=659, step=5460, lr=0.177500, batch loss=0.323604, epoch loss=2.656812 Batch=719, step=5520, lr=0.177250, batch loss=0.325852, epoch loss=2.982665 Batch=779, step=5580, lr=0.177000, batch loss=0.343190, epoch loss=3.325855 Batch=839, step=5640, lr=0.176750, batch loss=0.309336, epoch loss=3.635191 Batch=899, step=5700, lr=0.176500, batch loss=0.273183, epoch loss=3.908373 Batch=959, step=5760, lr=0.176250, batch loss=0.214897, epoch loss=4.123270 Batch=1019, step=5820, lr=0.176000, batch loss=0.339179, epoch loss=4.462449 Batch=1079, step=5880, lr=0.175750, batch loss=0.207798, epoch loss=4.670247 Batch=1139, step=5940, lr=0.175500, batch loss=0.240068, epoch loss=4.910316 Batch=1199, step=6000, lr=0.175250, batch loss=0.186869, epoch loss=5.097184 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097184 Batch=59, step=6060, lr=0.175000, batch loss=0.230511, epoch loss=0.230511 Batch=119, step=6120, lr=0.174750, batch loss=0.194306, epoch loss=0.424817 Batch=179, step=6180, lr=0.174500, batch loss=0.201542, epoch loss=0.626359 Batch=239, step=6240, lr=0.174250, batch loss=0.302372, epoch loss=0.928730 Batch=299, step=6300, lr=0.174000, batch loss=0.203946, epoch loss=1.132676 Batch=359, step=6360, lr=0.173750, batch loss=0.266101, epoch loss=1.398778 Batch=419, step=6420, lr=0.173500, batch loss=0.265294, epoch loss=1.664072 Batch=479, step=6480, lr=0.173250, batch loss=0.243309, epoch loss=1.907381 Batch=539, step=6540, lr=0.173000, batch loss=0.192986, epoch loss=2.100367 Batch=599, step=6600, lr=0.172750, batch loss=0.234486, epoch loss=2.334854 Batch=659, step=6660, lr=0.172500, batch loss=0.312115, epoch loss=2.646968 Batch=719, step=6720, lr=0.172250, batch loss=0.314210, epoch loss=2.961178 Batch=779, step=6780, lr=0.172000, batch loss=0.333235, epoch loss=3.294412 Batch=839, step=6840, lr=0.171750, batch loss=0.303748, epoch loss=3.598160 Batch=899, step=6900, lr=0.171500, batch loss=0.268481, epoch loss=3.866641 Batch=959, step=6960, lr=0.171250, batch loss=0.211014, epoch loss=4.077654 Batch=1019, step=7020, lr=0.171000, batch loss=0.329777, epoch loss=4.407431 Batch=1079, step=7080, lr=0.170750, batch loss=0.180627, epoch loss=4.588059 Batch=1139, step=7140, lr=0.170500, batch loss=0.216089, epoch loss=4.804148 Batch=1199, step=7200, lr=0.170250, batch loss=0.185674, epoch loss=4.989822 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989822 Batch=59, step=7260, lr=0.170000, batch loss=0.232486, epoch loss=0.232486 Batch=119, step=7320, lr=0.169750, batch loss=0.184590, epoch loss=0.417076 Batch=179, step=7380, lr=0.169500, batch loss=0.196605, epoch loss=0.613681 Batch=239, step=7440, lr=0.169250, batch loss=0.291671, epoch loss=0.905352 Batch=299, step=7500, lr=0.169000, batch loss=0.200902, epoch loss=1.106254 Batch=359, step=7560, lr=0.168750, batch loss=0.258539, epoch loss=1.364793 Batch=419, step=7620, lr=0.168500, batch loss=0.257383, epoch loss=1.622176 Batch=479, step=7680, lr=0.168250, batch loss=0.235327, epoch loss=1.857503 Batch=539, step=7740, lr=0.168000, batch loss=0.188570, epoch loss=2.046072 Batch=599, step=7800, lr=0.167750, batch loss=0.223179, epoch loss=2.269251 Batch=659, step=7860, lr=0.167500, batch loss=0.306332, epoch loss=2.575584 Batch=719, step=7920, lr=0.167250, batch loss=0.308677, epoch loss=2.884261 Batch=779, step=7980, lr=0.167000, batch loss=0.330584, epoch loss=3.214846 Batch=839, step=8040, lr=0.166750, batch loss=0.292042, epoch loss=3.506887 Batch=899, step=8100, lr=0.166500, batch loss=0.262255, epoch loss=3.769142 Batch=959, step=8160, lr=0.166250, batch loss=0.192460, epoch loss=3.961602 Batch=1019, step=8220, lr=0.166000, batch loss=0.291110, epoch loss=4.252712 Batch=1079, step=8280, lr=0.165750, batch loss=0.184299, epoch loss=4.437010 Batch=1139, step=8340, lr=0.165500, batch loss=0.216276, epoch loss=4.653287 Batch=1199, step=8400, lr=0.165250, batch loss=0.172763, epoch loss=4.826050 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826050 Batch=59, step=8460, lr=0.165000, batch loss=0.212052, epoch loss=0.212052 Batch=119, step=8520, lr=0.164750, batch loss=0.177937, epoch loss=0.389989 Batch=179, step=8580, lr=0.164500, batch loss=0.188658, epoch loss=0.578647 Batch=239, step=8640, lr=0.164250, batch loss=0.278159, epoch loss=0.856806 Batch=299, step=8700, lr=0.164000, batch loss=0.193655, epoch loss=1.050461 Batch=359, step=8760, lr=0.163750, batch loss=0.247318, epoch loss=1.297779 Batch=419, step=8820, lr=0.163500, batch loss=0.245255, epoch loss=1.543034 Batch=479, step=8880, lr=0.163250, batch loss=0.229231, epoch loss=1.772264 Batch=539, step=8940, lr=0.163000, batch loss=0.177552, epoch loss=1.949816 Batch=599, step=9000, lr=0.162750, batch loss=0.217526, epoch loss=2.167342 Batch=659, step=9060, lr=0.162500, batch loss=0.295053, epoch loss=2.462395 Batch=719, step=9120, lr=0.162250, batch loss=0.299527, epoch loss=2.761922 Batch=779, step=9180, lr=0.162000, batch loss=0.316426, epoch loss=3.078347 Batch=839, step=9240, lr=0.161750, batch loss=0.281976, epoch loss=3.360323 Batch=899, step=9300, lr=0.161500, batch loss=0.250654, epoch loss=3.610977 Batch=959, step=9360, lr=0.161250, batch loss=0.198054, epoch loss=3.809031 Batch=1019, step=9420, lr=0.161000, batch loss=0.307428, epoch loss=4.116459 Batch=1079, step=9480, lr=0.160750, batch loss=0.196912, epoch loss=4.313371 Batch=1139, step=9540, lr=0.160500, batch loss=0.213430, epoch loss=4.526801 Batch=1199, step=9600, lr=0.160250, batch loss=0.167166, epoch loss=4.693967 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693967 Batch=59, step=9660, lr=0.160000, batch loss=0.200848, epoch loss=0.200848 Batch=119, step=9720, lr=0.159750, batch loss=0.164940, epoch loss=0.365788 Batch=179, step=9780, lr=0.159500, batch loss=0.178441, epoch loss=0.544228 Batch=239, step=9840, lr=0.159250, batch loss=0.262437, epoch loss=0.806665 Batch=299, step=9900, lr=0.159000, batch loss=0.181556, epoch loss=0.988221 Batch=359, step=9960, lr=0.158750, batch loss=0.241101, epoch loss=1.229322 Batch=419, step=10020, lr=0.158500, batch loss=0.233409, epoch loss=1.462731 Batch=479, step=10080, lr=0.158250, batch loss=0.213295, epoch loss=1.676026 Batch=539, step=10140, lr=0.158000, batch loss=0.172298, epoch loss=1.848323 Batch=599, step=10200, lr=0.157750, batch loss=0.200787, epoch loss=2.049110 Batch=659, step=10260, lr=0.157500, batch loss=0.281475, epoch loss=2.330585 Batch=719, step=10320, lr=0.157250, batch loss=0.286013, epoch loss=2.616599 Batch=779, step=10380, lr=0.157000, batch loss=0.294869, epoch loss=2.911468 Batch=839, step=10440, lr=0.156750, batch loss=0.265956, epoch loss=3.177424 Batch=899, step=10500, lr=0.156500, batch loss=0.244330, epoch loss=3.421754 Batch=959, step=10560, lr=0.156250, batch loss=0.197372, epoch loss=3.619126 Batch=1019, step=10620, lr=0.156000, batch loss=0.279948, epoch loss=3.899073 Batch=1079, step=10680, lr=0.155750, batch loss=0.167445, epoch loss=4.066518 Batch=1139, step=10740, lr=0.155500, batch loss=0.199884, epoch loss=4.266402 Batch=1199, step=10800, lr=0.155250, batch loss=0.154087, epoch loss=4.420489 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420489 Batch=59, step=10860, lr=0.155000, batch loss=0.179898, epoch loss=0.179898 Batch=119, step=10920, lr=0.154750, batch loss=0.150742, epoch loss=0.330640 Batch=179, step=10980, lr=0.154500, batch loss=0.166381, epoch loss=0.497021 Batch=239, step=11040, lr=0.154250, batch loss=0.240590, epoch loss=0.737611 Batch=299, step=11100, lr=0.154000, batch loss=0.172437, epoch loss=0.910047 Batch=359, step=11160, lr=0.153750, batch loss=0.220529, epoch loss=1.130576 Batch=419, step=11220, lr=0.153500, batch loss=0.228657, epoch loss=1.359233 Batch=479, step=11280, lr=0.153250, batch loss=0.203844, epoch loss=1.563077 Batch=539, step=11340, lr=0.153000, batch loss=0.159121, epoch loss=1.722199 Batch=599, step=11400, lr=0.152750, batch loss=0.184551, epoch loss=1.906749 Batch=659, step=11460, lr=0.152500, batch loss=0.264613, epoch loss=2.171362 Batch=719, step=11520, lr=0.152250, batch loss=0.255715, epoch loss=2.427077 Batch=779, step=11580, lr=0.152000, batch loss=0.271257, epoch loss=2.698334 Batch=839, step=11640, lr=0.151750, batch loss=0.256418, epoch loss=2.954752 Batch=899, step=11700, lr=0.151500, batch loss=0.217000, epoch loss=3.171752 Batch=959, step=11760, lr=0.151250, batch loss=0.185976, epoch loss=3.357728 Batch=1019, step=11820, lr=0.151000, batch loss=0.277082, epoch loss=3.634810 Batch=1079, step=11880, lr=0.150750, batch loss=0.148369, epoch loss=3.783179 Batch=1139, step=11940, lr=0.150500, batch loss=0.180735, epoch loss=3.963915 Batch=1199, step=12000, lr=0.150250, batch loss=0.139714, epoch loss=4.103628 Epoch=9, step=12000, lr=0.150250, epoch loss=4.103628 Batch=59, step=12060, lr=0.150000, batch loss=0.161033, epoch loss=0.161033 Batch=119, step=12120, lr=0.149750, batch loss=0.136970, epoch loss=0.298003 Batch=179, step=12180, lr=0.149500, batch loss=0.150757, epoch loss=0.448760 Batch=239, step=12240, lr=0.149250, batch loss=0.218765, epoch loss=0.667524 Batch=299, step=12300, lr=0.149000, batch loss=0.142228, epoch loss=0.809753 Batch=359, step=12360, lr=0.148750, batch loss=0.199129, epoch loss=1.008882 Batch=419, step=12420, lr=0.148500, batch loss=0.205959, epoch loss=1.214841 Batch=479, step=12480, lr=0.148250, batch loss=0.179063, epoch loss=1.393903 Batch=539, step=12540, lr=0.148000, batch loss=0.142537, epoch loss=1.536440 Batch=599, step=12600, lr=0.147750, batch loss=0.149340, epoch loss=1.685780 Batch=659, step=12660, lr=0.147500, batch loss=0.225971, epoch loss=1.911751 Batch=719, step=12720, lr=0.147250, batch loss=0.233924, epoch loss=2.145674 Batch=779, step=12780, lr=0.147000, batch loss=0.263064, epoch loss=2.408738 Batch=839, step=12840, lr=0.146750, batch loss=0.233979, epoch loss=2.642717 Batch=899, step=12900, lr=0.146500, batch loss=0.211839, epoch loss=2.854556 Batch=959, step=12960, lr=0.146250, batch loss=0.152006, epoch loss=3.006562 Batch=1019, step=13020, lr=0.146000, batch loss=0.264489, epoch loss=3.271051 Batch=1079, step=13080, lr=0.145750, batch loss=0.112518, epoch loss=3.383569 Batch=1139, step=13140, lr=0.145500, batch loss=0.151258, epoch loss=3.534826 Batch=1199, step=13200, lr=0.145250, batch loss=0.117136, epoch loss=3.651963 Epoch=10, step=13200, lr=0.145250, epoch loss=3.651963 Batch=59, step=13260, lr=0.145000, batch loss=0.136909, epoch loss=0.136909 Batch=119, step=13320, lr=0.144750, batch loss=0.118699, epoch loss=0.255608 Batch=179, step=13380, lr=0.144500, batch loss=0.127462, epoch loss=0.383070 Batch=239, step=13440, lr=0.144250, batch loss=0.183611, epoch loss=0.566681 Batch=299, step=13500, lr=0.144000, batch loss=0.122147, epoch loss=0.688828 Batch=359, step=13560, lr=0.143750, batch loss=0.159614, epoch loss=0.848442 Batch=419, step=13620, lr=0.143500, batch loss=0.155226, epoch loss=1.003668 Batch=479, step=13680, lr=0.143250, batch loss=0.140341, epoch loss=1.144009 Batch=539, step=13740, lr=0.143000, batch loss=0.121148, epoch loss=1.265158 Batch=599, step=13800, lr=0.142750, batch loss=0.119683, epoch loss=1.384840 Batch=659, step=13860, lr=0.142500, batch loss=0.176927, epoch loss=1.561768 Batch=719, step=13920, lr=0.142250, batch loss=0.172598, epoch loss=1.734366 Batch=779, step=13980, lr=0.142000, batch loss=0.179467, epoch loss=1.913833 Batch=839, step=14040, lr=0.141750, batch loss=0.203677, epoch loss=2.117510 Batch=899, step=14100, lr=0.141500, batch loss=0.219366, epoch loss=2.336876 Batch=959, step=14160, lr=0.141250, batch loss=0.101944, epoch loss=2.438820 Batch=1019, step=14220, lr=0.141000, batch loss=0.196864, epoch loss=2.635684 Batch=1079, step=14280, lr=0.140750, batch loss=0.080458, epoch loss=2.716142 Batch=1139, step=14340, lr=0.140500, batch loss=0.127844, epoch loss=2.843986 Batch=1199, step=14400, lr=0.140250, batch loss=0.085603, epoch loss=2.929590 Epoch=11, step=14400, lr=0.140250, epoch loss=2.929590 Batch=59, step=14460, lr=0.140000, batch loss=0.109716, epoch loss=0.109716 Batch=119, step=14520, lr=0.139750, batch loss=0.110425, epoch loss=0.220141 Batch=179, step=14580, lr=0.139500, batch loss=0.102596, epoch loss=0.322736 Batch=239, step=14640, lr=0.139250, batch loss=0.138877, epoch loss=0.461614 Batch=299, step=14700, lr=0.139000, batch loss=0.078725, epoch loss=0.540339 Batch=359, step=14760, lr=0.138750, batch loss=0.118448, epoch loss=0.658787 Batch=419, step=14820, lr=0.138500, batch loss=0.133985, epoch loss=0.792772 Batch=479, step=14880, lr=0.138250, batch loss=0.096866, epoch loss=0.889638 Batch=539, step=14940, lr=0.138000, batch loss=0.103354, epoch loss=0.992993 Batch=599, step=15000, lr=0.137750, batch loss=0.083322, epoch loss=1.076315 Batch=659, step=15060, lr=0.137500, batch loss=0.126558, epoch loss=1.202872 Batch=719, step=15120, lr=0.137250, batch loss=0.129230, epoch loss=1.332102 Batch=779, step=15180, lr=0.137000, batch loss=0.163821, epoch loss=1.495924 Batch=839, step=15240, lr=0.136750, batch loss=0.167419, epoch loss=1.663342 Batch=899, step=15300, lr=0.136500, batch loss=0.306117, epoch loss=1.969459 Batch=959, step=15360, lr=0.136250, batch loss=0.061535, epoch loss=2.030994 Batch=1019, step=15420, lr=0.136000, batch loss=0.135090, epoch loss=2.166084 Batch=1079, step=15480, lr=0.135750, batch loss=0.042062, epoch loss=2.208146 Batch=1139, step=15540, lr=0.135500, batch loss=0.093676, epoch loss=2.301822 Batch=1199, step=15600, lr=0.135250, batch loss=0.059039, epoch loss=2.360860 Epoch=12, step=15600, lr=0.135250, epoch loss=2.360860 Batch=59, step=15660, lr=0.135000, batch loss=0.076314, epoch loss=0.076314 Batch=119, step=15720, lr=0.134750, batch loss=0.106249, epoch loss=0.182563 Batch=179, step=15780, lr=0.134500, batch loss=0.089073, epoch loss=0.271636 Batch=239, step=15840, lr=0.134250, batch loss=0.092517, epoch loss=0.364153 Batch=299, step=15900, lr=0.134000, batch loss=0.039332, epoch loss=0.403485 Batch=359, step=15960, lr=0.133750, batch loss=0.078194, epoch loss=0.481679 Batch=419, step=16020, lr=0.133500, batch loss=0.081141, epoch loss=0.562821 Batch=479, step=16080, lr=0.133250, batch loss=0.070543, epoch loss=0.633364 Batch=539, step=16140, lr=0.133000, batch loss=0.050534, epoch loss=0.683898 Batch=599, step=16200, lr=0.132750, batch loss=0.100138, epoch loss=0.784036 Batch=659, step=16260, lr=0.132500, batch loss=0.075687, epoch loss=0.859723 Batch=719, step=16320, lr=0.132250, batch loss=0.086866, epoch loss=0.946589 Batch=779, step=16380, lr=0.132000, batch loss=0.127586, epoch loss=1.074175 Batch=839, step=16440, lr=0.131750, batch loss=0.126222, epoch loss=1.200397 Batch=899, step=16500, lr=0.131500, batch loss=0.153896, epoch loss=1.354293 Batch=959, step=16560, lr=0.131250, batch loss=0.035471, epoch loss=1.389763 Batch=1019, step=16620, lr=0.131000, batch loss=0.086715, epoch loss=1.476479 Batch=1079, step=16680, lr=0.130750, batch loss=0.032507, epoch loss=1.508985 Batch=1139, step=16740, lr=0.130500, batch loss=0.073682, epoch loss=1.582667 Batch=1199, step=16800, lr=0.130250, batch loss=0.034844, epoch loss=1.617511 Epoch=13, step=16800, lr=0.130250, epoch loss=1.617511 Batch=59, step=16860, lr=0.130000, batch loss=0.034303, epoch loss=0.034303 Batch=119, step=16920, lr=0.129750, batch loss=0.036036, epoch loss=0.070338 Batch=179, step=16980, lr=0.129500, batch loss=0.041631, epoch loss=0.111969 Batch=239, step=17040, lr=0.129250, batch loss=0.057447, epoch loss=0.169416 Batch=299, step=17100, lr=0.129000, batch loss=0.026186, epoch loss=0.195601 Batch=359, step=17160, lr=0.128750, batch loss=0.050757, epoch loss=0.246359 Batch=419, step=17220, lr=0.128500, batch loss=0.095679, epoch loss=0.342037 Batch=479, step=17280, lr=0.128250, batch loss=0.022811, epoch loss=0.364849 Batch=539, step=17340, lr=0.128000, batch loss=0.027661, epoch loss=0.392509 Batch=599, step=17400, lr=0.127750, batch loss=0.035894, epoch loss=0.428404 Batch=659, step=17460, lr=0.127500, batch loss=0.052775, epoch loss=0.481178 Batch=719, step=17520, lr=0.127250, batch loss=0.075705, epoch loss=0.556883 Batch=779, step=17580, lr=0.127000, batch loss=0.059587, epoch loss=0.616470 Batch=839, step=17640, lr=0.126750, batch loss=0.088925, epoch loss=0.705395 Batch=899, step=17700, lr=0.126500, batch loss=0.050656, epoch loss=0.756051 Batch=959, step=17760, lr=0.126250, batch loss=0.018472, epoch loss=0.774523 Batch=1019, step=17820, lr=0.126000, batch loss=0.027444, epoch loss=0.801968 Batch=1079, step=17880, lr=0.125750, batch loss=0.020537, epoch loss=0.822504 Batch=1139, step=17940, lr=0.125500, batch loss=0.052032, epoch loss=0.874536 Batch=1199, step=18000, lr=0.125250, batch loss=0.020179, epoch loss=0.894715 Epoch=14, step=18000, lr=0.125250, epoch loss=0.894715 Batch=59, step=18060, lr=0.125000, batch loss=0.010916, epoch loss=0.010916 Batch=119, step=18120, lr=0.124750, batch loss=0.017282, epoch loss=0.028199 Batch=179, step=18180, lr=0.124500, batch loss=0.029105, epoch loss=0.057304 Batch=239, step=18240, lr=0.124250, batch loss=0.033580, epoch loss=0.090884 Batch=299, step=18300, lr=0.124000, batch loss=0.013718, epoch loss=0.104601 Batch=359, step=18360, lr=0.123750, batch loss=0.021522, epoch loss=0.126124 Batch=419, step=18420, lr=0.123500, batch loss=0.024768, epoch loss=0.150891 Batch=479, step=18480, lr=0.123250, batch loss=0.013265, epoch loss=0.164157 Batch=539, step=18540, lr=0.123000, batch loss=0.019641, epoch loss=0.183797 Batch=599, step=18600, lr=0.122750, batch loss=0.026872, epoch loss=0.210670 Batch=659, step=18660, lr=0.122500, batch loss=0.026369, epoch loss=0.237039 Batch=719, step=18720, lr=0.122250, batch loss=0.026034, epoch loss=0.263073 Batch=779, step=18780, lr=0.122000, batch loss=0.030473, epoch loss=0.293546 Batch=839, step=18840, lr=0.121750, batch loss=0.042046, epoch loss=0.335592 Batch=899, step=18900, lr=0.121500, batch loss=0.039663, epoch loss=0.375256 Batch=959, step=18960, lr=0.121250, batch loss=0.028260, epoch loss=0.403516 Batch=1019, step=19020, lr=0.121000, batch loss=0.064701, epoch loss=0.468218 Batch=1079, step=19080, lr=0.120750, batch loss=0.016917, epoch loss=0.485135 Batch=1139, step=19140, lr=0.120500, batch loss=0.026734, epoch loss=0.511868 Batch=1199, step=19200, lr=0.120250, batch loss=0.011550, epoch loss=0.523419 Epoch=15, step=19200, lr=0.120250, epoch loss=0.523419 Batch=59, step=19260, lr=0.120000, batch loss=0.009660, epoch loss=0.009660 Batch=119, step=19320, lr=0.119750, batch loss=0.026690, epoch loss=0.036350 Batch=179, step=19380, lr=0.119500, batch loss=0.080376, epoch loss=0.116726 Batch=239, step=19440, lr=0.119250, batch loss=0.030426, epoch loss=0.147152 Batch=299, step=19500, lr=0.119000, batch loss=0.013747, epoch loss=0.160900 Batch=359, step=19560, lr=0.118750, batch loss=0.028144, epoch loss=0.189044 Batch=419, step=19620, lr=0.118500, batch loss=0.020249, epoch loss=0.209293 Batch=479, step=19680, lr=0.118250, batch loss=0.006847, epoch loss=0.216140 Batch=539, step=19740, lr=0.118000, batch loss=0.019996, epoch loss=0.236136 Batch=599, step=19800, lr=0.117750, batch loss=0.024291, epoch loss=0.260427 Batch=659, step=19860, lr=0.117500, batch loss=0.019117, epoch loss=0.279544 Batch=719, step=19920, lr=0.117250, batch loss=0.042796, epoch loss=0.322340 Batch=779, step=19980, lr=0.117000, batch loss=0.079406, epoch loss=0.401746 Batch=839, step=20040, lr=0.116750, batch loss=0.030938, epoch loss=0.432684 Batch=899, step=20100, lr=0.116500, batch loss=0.029370, epoch loss=0.462054 Batch=959, step=20160, lr=0.116250, batch loss=0.015078, epoch loss=0.477132 Batch=1019, step=20220, lr=0.116000, batch loss=0.018242, epoch loss=0.495374 Batch=1079, step=20280, lr=0.115750, batch loss=0.002319, epoch loss=0.497693 Batch=1139, step=20340, lr=0.115500, batch loss=0.014753, epoch loss=0.512446 Batch=1199, step=20400, lr=0.115250, batch loss=0.005881, epoch loss=0.518327 Epoch=16, step=20400, lr=0.115250, epoch loss=0.518327 Batch=59, step=20460, lr=0.115000, batch loss=0.003134, epoch loss=0.003134 Batch=119, step=20520, lr=0.114750, batch loss=0.010980, epoch loss=0.014114 Batch=179, step=20580, lr=0.114500, batch loss=0.025417, epoch loss=0.039532 Batch=239, step=20640, lr=0.114250, batch loss=0.015738, epoch loss=0.055270 Batch=299, step=20700, lr=0.114000, batch loss=0.004788, epoch loss=0.060058 Batch=359, step=20760, lr=0.113750, batch loss=0.014871, epoch loss=0.074929 Batch=419, step=20820, lr=0.113500, batch loss=0.015196, epoch loss=0.090125 Batch=479, step=20880, lr=0.113250, batch loss=0.003830, epoch loss=0.093955 Batch=539, step=20940, lr=0.113000, batch loss=0.016034, epoch loss=0.109989 Batch=599, step=21000, lr=0.112750, batch loss=0.017777, epoch loss=0.127766 Batch=659, step=21060, lr=0.112500, batch loss=0.013548, epoch loss=0.141315 Batch=719, step=21120, lr=0.112250, batch loss=0.034287, epoch loss=0.175601 Batch=779, step=21180, lr=0.112000, batch loss=0.054756, epoch loss=0.230357 Batch=839, step=21240, lr=0.111750, batch loss=0.025655, epoch loss=0.256012 Batch=899, step=21300, lr=0.111500, batch loss=0.026751, epoch loss=0.282763 Batch=959, step=21360, lr=0.111250, batch loss=0.012506, epoch loss=0.295268 Batch=1019, step=21420, lr=0.111000, batch loss=0.011300, epoch loss=0.306569 Batch=1079, step=21480, lr=0.110750, batch loss=0.001650, epoch loss=0.308218 Batch=1139, step=21540, lr=0.110500, batch loss=0.012244, epoch loss=0.320463 Batch=1199, step=21600, lr=0.110250, batch loss=0.004763, epoch loss=0.325225 Epoch=17, step=21600, lr=0.110250, epoch loss=0.325225 Batch=59, step=21660, lr=0.109750, batch loss=0.001993, epoch loss=0.001993 Batch=119, step=21720, lr=0.109750, batch loss=0.007376, epoch loss=0.009368 Batch=179, step=21780, lr=0.109500, batch loss=0.012370, epoch loss=0.021739 Batch=239, step=21840, lr=0.109250, batch loss=0.012669, epoch loss=0.034408 Batch=299, step=21900, lr=0.109000, batch loss=0.002552, epoch loss=0.036960 Batch=359, step=21960, lr=0.108750, batch loss=0.011427, epoch loss=0.048386 Batch=419, step=22020, lr=0.108500, batch loss=0.011575, epoch loss=0.059961 Batch=479, step=22080, lr=0.108250, batch loss=0.002721, epoch loss=0.062682 Batch=539, step=22140, lr=0.108000, batch loss=0.018219, epoch loss=0.080902 Batch=599, step=22200, lr=0.107750, batch loss=0.016642, epoch loss=0.097543 Batch=659, step=22260, lr=0.107500, batch loss=0.015984, epoch loss=0.113528 Batch=719, step=22320, lr=0.107250, batch loss=0.022519, epoch loss=0.136047 Batch=779, step=22380, lr=0.107000, batch loss=0.033805, epoch loss=0.169852 Batch=839, step=22440, lr=0.106750, batch loss=0.025740, epoch loss=0.195592 Batch=899, step=22500, lr=0.106500, batch loss=0.027158, epoch loss=0.222750 Batch=959, step=22560, lr=0.106250, batch loss=0.008985, epoch loss=0.231735 Batch=1019, step=22620, lr=0.106000, batch loss=0.010453, epoch loss=0.242188 Batch=1079, step=22680, lr=0.105750, batch loss=0.000928, epoch loss=0.243116 Batch=1139, step=22740, lr=0.105500, batch loss=0.010039, epoch loss=0.253155 Batch=1199, step=22800, lr=0.105250, batch loss=0.004932, epoch loss=0.258087 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258087 Batch=59, step=22860, lr=0.105000, batch loss=0.001774, epoch loss=0.001774 Batch=119, step=22920, lr=0.104750, batch loss=0.005403, epoch loss=0.007177 Batch=179, step=22980, lr=0.104500, batch loss=0.010416, epoch loss=0.017594 Batch=239, step=23040, lr=0.104250, batch loss=0.008770, epoch loss=0.026364 Batch=299, step=23100, lr=0.104000, batch loss=0.006688, epoch loss=0.033052 Batch=359, step=23160, lr=0.103750, batch loss=0.011936, epoch loss=0.044987 Batch=419, step=23220, lr=0.103500, batch loss=0.010635, epoch loss=0.055622 Batch=479, step=23280, lr=0.103250, batch loss=0.002848, epoch loss=0.058470 Batch=539, step=23340, lr=0.103000, batch loss=0.016926, epoch loss=0.075396 Batch=599, step=23400, lr=0.102750, batch loss=0.013637, epoch loss=0.089033 Batch=659, step=23460, lr=0.102500, batch loss=0.010430, epoch loss=0.099463 Batch=719, step=23520, lr=0.102250, batch loss=0.014692, epoch loss=0.114155 Batch=779, step=23580, lr=0.102000, batch loss=0.021799, epoch loss=0.135954 Batch=839, step=23640, lr=0.101750, batch loss=0.024532, epoch loss=0.160487 Batch=899, step=23700, lr=0.101500, batch loss=0.023266, epoch loss=0.183753 Batch=959, step=23760, lr=0.101250, batch loss=0.008548, epoch loss=0.192301 Batch=1019, step=23820, lr=0.101000, batch loss=0.008000, epoch loss=0.200301 Batch=1079, step=23880, lr=0.100750, batch loss=0.000941, epoch loss=0.201241 Batch=1139, step=23940, lr=0.100500, batch loss=0.008997, epoch loss=0.210238 Batch=1199, step=24000, lr=0.100250, batch loss=0.004945, epoch loss=0.215183 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215183 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########****************************************..│ │***********###########*************************############************************************.....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#*****************************..........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########***********************...........%.│ │******######**********..........%........***************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########***************............%%%%%%.│ │*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:25.27 ---> saved as "face0771d8a7458949117217f90366704b315dabbb664046baea044552e17cb6" Job succeeded 2025-03-20 22:25.28: Job succeeded