2025-04-10 12:26.18: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-x86_64:ubuntu-24.10-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:22f39e3e5f29f784e37f5f4a7ac52d8c9943321f8eb6cff9d38c0a9f96f49ec1 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard a65dd895 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:22f39e3e5f29f784e37f5f4a7ac52d8c9943321f8eb6cff9d38c0a9f96f49ec1 # ubuntu-24.10-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 2025-04-10 12:26.18: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:22f39e3e5f29f784e37f5f4a7ac52d8c9943321f8eb6cff9d38c0a9f96f49ec1-ubuntu-24.10-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-10 12:26.18: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:22f39e3e5f29f784e37f5f4a7ac52d8c9943321f8eb6cff9d38c0a9f96f49ec1) (comment ubuntu-24.10-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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")) ) 2025-04-10 12:26.18: Waiting for resource in pool OCluster 2025-04-10 12:45.42: Waiting for worker… 2025-04-10 12:47.52: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at a65dd895 Tiny formatting (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:22f39e3e5f29f784e37f5f4a7ac52d8c9943321f8eb6cff9d38c0a9f96f49ec1) 2025-04-10 12:47.52 ---> using "dd273e3de70e583659f8e8c91b627b23420c9f4152fd7ac57266fd58f1351b81" from cache /: (comment ubuntu-24.10-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-04-10 12:47.53 ---> saved as "2e253d97fec9d51787a54f9948a196763f3f76383b623a3a344f4b20b95a58ba" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-04-10 12:48.50 ---> saved as "e555fb0ee4d31861e9efef58c4912cfbe860158166cd8c4ec06aae020298d8d5" /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 2025-04-10 12:48.50 ---> saved as "efb6255b77fd98d6d9acb022232308931f4578f3a0cdabd556ba86535d9cf94c" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-10 12:48.51 ---> saved as "bd60cdf9aefa2424db889c72da5e488873737ecfbc875cc5e2ab5f9da2c1e048" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD da74d7829f..fa0e8c74bf master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+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) 2025-04-10 12:49.41 ---> saved as "03f18921ba8314c8f724717376bfa001d90ebdecfee51d0efe7416effa2e6a70" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-10 12:49.42 ---> saved as "aea7b32e055dd26a7e93fdde8688d322facb8210fb6cb8f9dabcd9be12d0be00" /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) 2025-04-10 12:49.49 ---> saved as "94c874b2b91e81612dbb92a51757db9161542304518231bb087b6202f252f4c8" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-10 12:49.50 ---> saved as "0a8505ebaf2c191ed1d309e84f56934d0af3d9ac4e52a1ab399dd86a54d44390" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:2 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:3 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [332 kB] - Get:6 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [212 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [462 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [289 kB] - Fetched 1673 kB in 1s (1889 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libpkgconf3:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 16145 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Setting up pkgconf-bin (1.8.1-3ubuntu1) ... - Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ... - Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ... - Processing triggers for libc-bin (2.40-1ubuntu3.1) ... 2025-04-10 12:50.26 ---> saved as "6dca02e3afa147359a8461a1e4b5a0e15ab7f1fbce09e401cf71cef92804b019" /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 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - 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 3.18.0 - install dune-configurator 3.18.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - 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-version 4.0.0 - 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 2.2.0 - 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 result 1.5 - 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 thread-local-storage 0.2 - 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 astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (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 fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (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-version.4.0.0 (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_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (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 ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (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 uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed fmt.0.10.0 -> installed mtime.2.1.0 -> installed uutf.1.0.4 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> 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 camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.18.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed mdx.2.5.0 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.1 -> installed printbox-ext-plot.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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.2.2.0 -> 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) 2025-04-10 12:54.31 ---> saved as "ae961f785b88d0954f04b030b7ca9c5e4dbdc6575ac87c688648f1facd2fdbea" /src: (copy (src .) (dst /src)) 2025-04-10 12:54.32 ---> saved as "277ed579b44fa6fafa5cf88a243ec80f14a921f6e6b0c5deee3553ea521ac664" /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/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9949901fe4351c8fca652cce51637556/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.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/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.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/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.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/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cc4c5bbdafb32ec4a15625cd96f571e7/default/test && .tutorials.inline-tests/inline-test-runner.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/cc4c5bbdafb32ec4a15625cd96f571e7/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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.199000, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.330969, epoch loss=38.402774 Batch=419, step=420, lr=0.198500, batch loss=0.617836, epoch loss=39.020610 Batch=479, step=480, lr=0.198250, batch loss=0.823501, epoch loss=39.844111 Batch=539, step=540, lr=0.197750, batch loss=0.688277, epoch loss=40.532388 Batch=599, step=600, lr=0.197500, batch loss=1.064498, epoch loss=41.596886 Batch=659, step=660, lr=0.197500, batch loss=0.483104, epoch loss=42.079989 Batch=719, step=720, lr=0.197000, batch loss=0.411281, epoch loss=42.491270 Batch=779, step=780, lr=0.196750, batch loss=0.468785, epoch loss=42.960056 Batch=839, step=840, lr=0.196750, batch loss=0.443255, epoch loss=43.403311 Batch=899, step=900, lr=0.196500, batch loss=0.383624, epoch loss=43.786935 Batch=959, step=960, lr=0.196250, batch loss=0.237108, epoch loss=44.024043 Batch=1019, step=1020, lr=0.196000, batch loss=0.440626, epoch loss=44.464669 Batch=1079, step=1080, lr=0.195500, batch loss=0.229111, epoch loss=44.693780 Batch=1139, step=1140, lr=0.195250, batch loss=0.315274, epoch loss=45.009054 Batch=1199, step=1200, lr=0.195250, batch loss=0.263135, epoch loss=45.272190 Epoch=0, step=1200, lr=0.195250, epoch loss=45.272190 Batch=59, step=1260, lr=0.195000, batch loss=0.262294, epoch loss=0.262294 Batch=119, step=1320, lr=0.194750, batch loss=0.205556, epoch loss=0.467850 Batch=179, step=1380, lr=0.194500, batch loss=0.243030, epoch loss=0.710880 Batch=239, step=1440, lr=0.194000, batch loss=0.345565, epoch loss=1.056444 Batch=299, step=1500, lr=0.194000, batch loss=0.240470, epoch loss=1.296915 Batch=359, step=1560, lr=0.193750, batch loss=0.312265, epoch loss=1.609179 Batch=419, step=1620, lr=0.193250, batch loss=0.309422, epoch loss=1.918602 Batch=479, step=1680, lr=0.193250, batch loss=0.275906, epoch loss=2.194508 Batch=539, step=1740, lr=0.192750, batch loss=0.212129, epoch loss=2.406637 Batch=599, step=1800, lr=0.192500, batch loss=0.250523, epoch loss=2.657160 Batch=659, step=1860, lr=0.192250, batch loss=0.369515, epoch loss=3.026675 Batch=719, step=1920, lr=0.192250, batch loss=0.362112, epoch loss=3.388787 Batch=779, step=1980, lr=0.192000, batch loss=0.380968, epoch loss=3.769754 Batch=839, step=2040, lr=0.191750, batch loss=0.343285, epoch loss=4.113040 Batch=899, step=2100, lr=0.191500, batch loss=0.319709, epoch loss=4.432749 Batch=959, step=2160, lr=0.191250, batch loss=0.262434, epoch loss=4.695182 Batch=1019, step=2220, lr=0.191000, batch loss=0.424165, epoch loss=5.119348 Batch=1079, step=2280, lr=0.190750, batch loss=0.278643, epoch loss=5.397991 Batch=1139, step=2340, lr=0.190500, batch loss=0.304237, epoch loss=5.702228 Batch=1199, step=2400, lr=0.190250, batch loss=0.217329, epoch loss=5.919557 Epoch=1, step=2400, lr=0.190250, epoch loss=5.919557 Batch=59, step=2460, lr=0.190000, batch loss=0.233948, epoch loss=0.233948 Batch=119, step=2520, lr=0.189750, batch loss=0.192931, epoch loss=0.426879 Batch=179, step=2580, lr=0.189500, batch loss=0.223540, epoch loss=0.650419 Batch=239, step=2640, lr=0.189250, batch loss=0.333010, epoch loss=0.983429 Batch=299, step=2700, lr=0.189000, batch loss=0.220664, epoch loss=1.204093 Batch=359, step=2760, lr=0.188750, batch loss=0.300726, epoch loss=1.504819 Batch=419, step=2820, lr=0.188500, batch loss=0.285183, epoch loss=1.790002 Batch=479, step=2880, lr=0.188250, batch loss=0.260989, epoch loss=2.050991 Batch=539, step=2940, lr=0.188000, batch loss=0.196929, epoch loss=2.247920 Batch=599, step=3000, lr=0.187500, batch loss=0.232201, epoch loss=2.480121 Batch=659, step=3060, lr=0.187500, batch loss=0.342726, epoch loss=2.822847 Batch=719, step=3120, lr=0.187250, batch loss=0.335294, epoch loss=3.158142 Batch=779, step=3180, lr=0.187000, batch loss=0.352848, epoch loss=3.510989 Batch=839, step=3240, lr=0.186750, batch loss=0.322996, epoch loss=3.833986 Batch=899, step=3300, lr=0.186500, batch loss=0.280137, epoch loss=4.114122 Batch=959, step=3360, lr=0.186250, batch loss=0.206088, epoch loss=4.320211 Batch=1019, step=3420, lr=0.186000, batch loss=0.316026, epoch loss=4.636236 Batch=1079, step=3480, lr=0.185750, batch loss=0.189876, epoch loss=4.826112 Batch=1139, step=3540, lr=0.185500, batch loss=0.233339, epoch loss=5.059452 Batch=1199, step=3600, lr=0.185250, batch loss=0.199274, epoch loss=5.258726 Epoch=2, step=3600, lr=0.185250, epoch loss=5.258726 Batch=59, step=3660, lr=0.184750, batch loss=0.237920, epoch loss=0.237920 Batch=119, step=3720, lr=0.184750, batch loss=0.191542, epoch loss=0.429462 Batch=179, step=3780, lr=0.184500, batch loss=0.212283, epoch loss=0.641744 Batch=239, step=3840, lr=0.184250, batch loss=0.317020, epoch loss=0.958764 Batch=299, step=3900, lr=0.184000, batch loss=0.203569, epoch loss=1.162333 Batch=359, step=3960, lr=0.183500, batch loss=0.282464, epoch loss=1.444797 Batch=419, step=4020, lr=0.183500, batch loss=0.272843, epoch loss=1.717640 Batch=479, step=4080, lr=0.183250, batch loss=0.249573, epoch loss=1.967213 Batch=539, step=4140, lr=0.183000, batch loss=0.195084, epoch loss=2.162298 Batch=599, step=4200, lr=0.182750, batch loss=0.242338, epoch loss=2.404636 Batch=659, step=4260, lr=0.182500, batch loss=0.329372, epoch loss=2.734007 Batch=719, step=4320, lr=0.182250, batch loss=0.328899, epoch loss=3.062906 Batch=779, step=4380, lr=0.182000, batch loss=0.351281, epoch loss=3.414187 Batch=839, step=4440, lr=0.181750, batch loss=0.319112, epoch loss=3.733299 Batch=899, step=4500, lr=0.181500, batch loss=0.291307, epoch loss=4.024606 Batch=959, step=4560, lr=0.181250, batch loss=0.243008, epoch loss=4.267613 Batch=1019, step=4620, lr=0.181000, batch loss=0.338288, epoch loss=4.605902 Batch=1079, step=4680, lr=0.180750, batch loss=0.199245, epoch loss=4.805147 Batch=1139, step=4740, lr=0.180500, batch loss=0.237378, epoch loss=5.042525 Batch=1199, step=4800, lr=0.180250, batch loss=0.192153, epoch loss=5.234678 Epoch=3, step=4800, lr=0.180250, epoch loss=5.234678 Batch=59, step=4860, lr=0.180000, batch loss=0.223540, epoch loss=0.223540 Batch=119, step=4920, lr=0.179750, batch loss=0.186249, epoch loss=0.409789 Batch=179, step=4980, lr=0.179500, batch loss=0.205947, epoch loss=0.615736 Batch=239, step=5040, lr=0.179250, batch loss=0.309142, epoch loss=0.924878 Batch=299, step=5100, lr=0.179000, batch loss=0.205078, epoch loss=1.129956 Batch=359, step=5160, lr=0.178750, batch loss=0.271200, epoch loss=1.401156 Batch=419, step=5220, lr=0.178500, batch loss=0.264796, epoch loss=1.665953 Batch=479, step=5280, lr=0.178250, batch loss=0.240271, epoch loss=1.906224 Batch=539, step=5340, lr=0.178000, batch loss=0.189802, epoch loss=2.096026 Batch=599, step=5400, lr=0.177750, batch loss=0.231808, epoch loss=2.327834 Batch=659, step=5460, lr=0.177500, batch loss=0.324186, epoch loss=2.652020 Batch=719, step=5520, lr=0.177250, batch loss=0.333868, epoch loss=2.985888 Batch=779, step=5580, lr=0.177000, batch loss=0.341593, epoch loss=3.327481 Batch=839, step=5640, lr=0.176750, batch loss=0.309592, epoch loss=3.637073 Batch=899, step=5700, lr=0.176500, batch loss=0.272243, epoch loss=3.909316 Batch=959, step=5760, lr=0.176250, batch loss=0.215737, epoch loss=4.125052 Batch=1019, step=5820, lr=0.176000, batch loss=0.338111, epoch loss=4.463164 Batch=1079, step=5880, lr=0.175500, batch loss=0.209650, epoch loss=4.672814 Batch=1139, step=5940, lr=0.175250, batch loss=0.237619, epoch loss=4.910433 Batch=1199, step=6000, lr=0.175250, batch loss=0.187454, epoch loss=5.097886 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097886 Batch=59, step=6060, lr=0.174750, batch loss=0.223279, epoch loss=0.223279 Batch=119, step=6120, lr=0.174500, batch loss=0.185102, epoch loss=0.408381 Batch=179, step=6180, lr=0.174500, batch loss=0.200797, epoch loss=0.609178 Batch=239, step=6240, lr=0.174250, batch loss=0.298540, epoch loss=0.907719 Batch=299, step=6300, lr=0.174000, batch loss=0.197849, epoch loss=1.105568 Batch=359, step=6360, lr=0.173500, batch loss=0.264877, epoch loss=1.370444 Batch=419, step=6420, lr=0.173500, batch loss=0.258352, epoch loss=1.628796 Batch=479, step=6480, lr=0.173250, batch loss=0.232897, epoch loss=1.861694 Batch=539, step=6540, lr=0.173000, batch loss=0.187669, epoch loss=2.049362 Batch=599, step=6600, lr=0.172750, batch loss=0.227421, epoch loss=2.276783 Batch=659, step=6660, lr=0.172500, batch loss=0.316032, epoch loss=2.592816 Batch=719, step=6720, lr=0.172250, batch loss=0.313646, epoch loss=2.906462 Batch=779, step=6780, lr=0.172000, batch loss=0.332394, epoch loss=3.238855 Batch=839, step=6840, lr=0.171500, batch loss=0.302827, epoch loss=3.541682 Batch=899, step=6900, lr=0.171500, batch loss=0.267401, epoch loss=3.809083 Batch=959, step=6960, lr=0.171250, batch loss=0.209765, epoch loss=4.018848 Batch=1019, step=7020, lr=0.171000, batch loss=0.328716, epoch loss=4.347564 Batch=1079, step=7080, lr=0.170750, batch loss=0.182377, epoch loss=4.529941 Batch=1139, step=7140, lr=0.170500, batch loss=0.215849, epoch loss=4.745790 Batch=1199, step=7200, lr=0.170250, batch loss=0.182806, epoch loss=4.928596 Epoch=5, step=7200, lr=0.170250, epoch loss=4.928596 Batch=59, step=7260, lr=0.170000, batch loss=0.241364, epoch loss=0.241364 Batch=119, step=7320, lr=0.169750, batch loss=0.180240, epoch loss=0.421604 Batch=179, step=7380, lr=0.169500, batch loss=0.194866, epoch loss=0.616470 Batch=239, step=7440, lr=0.169250, batch loss=0.290401, epoch loss=0.906871 Batch=299, step=7500, lr=0.169000, batch loss=0.204548, epoch loss=1.111420 Batch=359, step=7560, lr=0.168750, batch loss=0.262905, epoch loss=1.374325 Batch=419, step=7620, lr=0.168500, batch loss=0.253558, epoch loss=1.627883 Batch=479, step=7680, lr=0.168250, batch loss=0.238227, epoch loss=1.866110 Batch=539, step=7740, lr=0.168000, batch loss=0.184302, epoch loss=2.050412 Batch=599, step=7800, lr=0.167750, batch loss=0.219165, epoch loss=2.269577 Batch=659, step=7860, lr=0.167500, batch loss=0.305764, epoch loss=2.575342 Batch=719, step=7920, lr=0.167250, batch loss=0.307410, epoch loss=2.882751 Batch=779, step=7980, lr=0.167000, batch loss=0.331329, epoch loss=3.214081 Batch=839, step=8040, lr=0.166750, batch loss=0.296515, epoch loss=3.510595 Batch=899, step=8100, lr=0.166500, batch loss=0.258304, epoch loss=3.768900 Batch=959, step=8160, lr=0.166250, batch loss=0.201241, epoch loss=3.970141 Batch=1019, step=8220, lr=0.166000, batch loss=0.318813, epoch loss=4.288953 Batch=1079, step=8280, lr=0.165750, batch loss=0.171131, epoch loss=4.460085 Batch=1139, step=8340, lr=0.165500, batch loss=0.207635, epoch loss=4.667719 Batch=1199, step=8400, lr=0.165250, batch loss=0.176383, epoch loss=4.844103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.844103 Batch=59, step=8460, lr=0.164750, batch loss=0.223112, epoch loss=0.223112 Batch=119, step=8520, lr=0.164750, batch loss=0.177082, epoch loss=0.400193 Batch=179, step=8580, lr=0.164500, batch loss=0.187649, epoch loss=0.587842 Batch=239, step=8640, lr=0.164250, batch loss=0.276287, epoch loss=0.864129 Batch=299, step=8700, lr=0.164000, batch loss=0.193287, epoch loss=1.057416 Batch=359, step=8760, lr=0.163750, batch loss=0.248800, epoch loss=1.306215 Batch=419, step=8820, lr=0.163500, batch loss=0.244022, epoch loss=1.550238 Batch=479, step=8880, lr=0.163250, batch loss=0.226523, epoch loss=1.776761 Batch=539, step=8940, lr=0.162750, batch loss=0.179606, epoch loss=1.956368 Batch=599, step=9000, lr=0.162750, batch loss=0.215431, epoch loss=2.171799 Batch=659, step=9060, lr=0.162500, batch loss=0.293682, epoch loss=2.465481 Batch=719, step=9120, lr=0.162250, batch loss=0.297246, epoch loss=2.762727 Batch=779, step=9180, lr=0.162000, batch loss=0.314642, epoch loss=3.077369 Batch=839, step=9240, lr=0.161750, batch loss=0.281424, epoch loss=3.358793 Batch=899, step=9300, lr=0.161500, batch loss=0.253501, epoch loss=3.612294 Batch=959, step=9360, lr=0.161250, batch loss=0.210111, epoch loss=3.822405 Batch=1019, step=9420, lr=0.161000, batch loss=0.298722, epoch loss=4.121126 Batch=1079, step=9480, lr=0.160750, batch loss=0.183544, epoch loss=4.304670 Batch=1139, step=9540, lr=0.160500, batch loss=0.203565, epoch loss=4.508235 Batch=1199, step=9600, lr=0.160000, batch loss=0.165599, epoch loss=4.673834 Epoch=7, step=9600, lr=0.160000, epoch loss=4.673834 Batch=59, step=9660, lr=0.160000, batch loss=0.197672, epoch loss=0.197672 Batch=119, step=9720, lr=0.159750, batch loss=0.165208, epoch loss=0.362880 Batch=179, step=9780, lr=0.159500, batch loss=0.178974, epoch loss=0.541854 Batch=239, step=9840, lr=0.159250, batch loss=0.261578, epoch loss=0.803432 Batch=299, step=9900, lr=0.159000, batch loss=0.185807, epoch loss=0.989239 Batch=359, step=9960, lr=0.158750, batch loss=0.238113, epoch loss=1.227352 Batch=419, step=10020, lr=0.158500, batch loss=0.233198, epoch loss=1.460550 Batch=479, step=10080, lr=0.158250, batch loss=0.219468, epoch loss=1.680018 Batch=539, step=10140, lr=0.157750, batch loss=0.170034, epoch loss=1.850052 Batch=599, step=10200, lr=0.157750, batch loss=0.203128, epoch loss=2.053180 Batch=659, step=10260, lr=0.157500, batch loss=0.280372, epoch loss=2.333553 Batch=719, step=10320, lr=0.157250, batch loss=0.278727, epoch loss=2.612279 Batch=779, step=10380, lr=0.157000, batch loss=0.297586, epoch loss=2.909865 Batch=839, step=10440, lr=0.156750, batch loss=0.271760, epoch loss=3.181625 Batch=899, step=10500, lr=0.156500, batch loss=0.238398, epoch loss=3.420023 Batch=959, step=10560, lr=0.156250, batch loss=0.200523, epoch loss=3.620547 Batch=1019, step=10620, lr=0.156000, batch loss=0.278868, epoch loss=3.899414 Batch=1079, step=10680, lr=0.155500, batch loss=0.155787, epoch loss=4.055202 Batch=1139, step=10740, lr=0.155250, batch loss=0.191977, epoch loss=4.247179 Batch=1199, step=10800, lr=0.155000, batch loss=0.154918, epoch loss=4.402096 Epoch=8, step=10800, lr=0.155000, epoch loss=4.402096 Batch=59, step=10860, lr=0.155000, batch loss=0.181126, epoch loss=0.181126 Batch=119, step=10920, lr=0.154750, batch loss=0.156838, epoch loss=0.337964 Batch=179, step=10980, lr=0.154500, batch loss=0.166752, epoch loss=0.504716 Batch=239, step=11040, lr=0.154250, batch loss=0.244924, epoch loss=0.749640 Batch=299, step=11100, lr=0.154000, batch loss=0.166024, epoch loss=0.915664 Batch=359, step=11160, lr=0.153750, batch loss=0.227031, epoch loss=1.142694 Batch=419, step=11220, lr=0.153500, batch loss=0.233268, epoch loss=1.375963 Batch=479, step=11280, lr=0.153000, batch loss=0.199426, epoch loss=1.575389 Batch=539, step=11340, lr=0.153000, batch loss=0.160655, epoch loss=1.736044 Batch=599, step=11400, lr=0.152750, batch loss=0.183227, epoch loss=1.919271 Batch=659, step=11460, lr=0.152500, batch loss=0.262048, epoch loss=2.181319 Batch=719, step=11520, lr=0.152250, batch loss=0.264502, epoch loss=2.445821 Batch=779, step=11580, lr=0.152000, batch loss=0.269161, epoch loss=2.714982 Batch=839, step=11640, lr=0.151750, batch loss=0.251841, epoch loss=2.966824 Batch=899, step=11700, lr=0.151500, batch loss=0.216894, epoch loss=3.183718 Batch=959, step=11760, lr=0.151250, batch loss=0.163257, epoch loss=3.346975 Batch=1019, step=11820, lr=0.151000, batch loss=0.260285, epoch loss=3.607260 Batch=1079, step=11880, lr=0.150750, batch loss=0.144891, epoch loss=3.752151 Batch=1139, step=11940, lr=0.150500, batch loss=0.179809, epoch loss=3.931959 Batch=1199, step=12000, lr=0.150250, batch loss=0.139673, epoch loss=4.071633 Epoch=9, step=12000, lr=0.150250, epoch loss=4.071633 Batch=59, step=12060, lr=0.150000, batch loss=0.162161, epoch loss=0.162161 Batch=119, step=12120, lr=0.149750, batch loss=0.136567, epoch loss=0.298728 Batch=179, step=12180, lr=0.149250, batch loss=0.151612, epoch loss=0.450340 Batch=239, step=12240, lr=0.149250, batch loss=0.221303, epoch loss=0.671643 Batch=299, step=12300, lr=0.148750, batch loss=0.140444, epoch loss=0.812087 Batch=359, step=12360, lr=0.148750, batch loss=0.200554, epoch loss=1.012640 Batch=419, step=12420, lr=0.148500, batch loss=0.206886, epoch loss=1.219526 Batch=479, step=12480, lr=0.148250, batch loss=0.179048, epoch loss=1.398574 Batch=539, step=12540, lr=0.148000, batch loss=0.143076, epoch loss=1.541651 Batch=599, step=12600, lr=0.147750, batch loss=0.149469, epoch loss=1.691119 Batch=659, step=12660, lr=0.147500, batch loss=0.227555, epoch loss=1.918674 Batch=719, step=12720, lr=0.147250, batch loss=0.236538, epoch loss=2.155212 Batch=779, step=12780, lr=0.146750, batch loss=0.265427, epoch loss=2.420639 Batch=839, step=12840, lr=0.146500, batch loss=0.238260, epoch loss=2.658899 Batch=899, step=12900, lr=0.146250, batch loss=0.222716, epoch loss=2.881616 Batch=959, step=12960, lr=0.146250, batch loss=0.144676, epoch loss=3.026292 Batch=1019, step=13020, lr=0.145750, batch loss=0.234033, epoch loss=3.260325 Batch=1079, step=13080, lr=0.145750, batch loss=0.108617, epoch loss=3.368942 Batch=1139, step=13140, lr=0.145250, batch loss=0.147020, epoch loss=3.515962 Batch=1199, step=13200, lr=0.145000, batch loss=0.116711, epoch loss=3.632673 Epoch=10, step=13200, lr=0.145000, epoch loss=3.632673 Batch=59, step=13260, lr=0.144750, batch loss=0.134004, epoch loss=0.134004 Batch=119, step=13320, lr=0.144500, batch loss=0.112415, epoch loss=0.246419 Batch=179, step=13380, lr=0.144250, batch loss=0.127046, epoch loss=0.373465 Batch=239, step=13440, lr=0.144000, batch loss=0.185792, epoch loss=0.559257 Batch=299, step=13500, lr=0.143750, batch loss=0.118405, epoch loss=0.677663 Batch=359, step=13560, lr=0.143500, batch loss=0.165646, epoch loss=0.843308 Batch=419, step=13620, lr=0.143500, batch loss=0.190743, epoch loss=1.034051 Batch=479, step=13680, lr=0.143250, batch loss=0.138061, epoch loss=1.172112 Batch=539, step=13740, lr=0.142750, batch loss=0.119130, epoch loss=1.291242 Batch=599, step=13800, lr=0.142500, batch loss=0.120359, epoch loss=1.411601 Batch=659, step=13860, lr=0.142500, batch loss=0.178262, epoch loss=1.589863 Batch=719, step=13920, lr=0.142000, batch loss=0.177832, epoch loss=1.767695 Batch=779, step=13980, lr=0.141750, batch loss=0.200288, epoch loss=1.967984 Batch=839, step=14040, lr=0.141500, batch loss=0.186263, epoch loss=2.154246 Batch=899, step=14100, lr=0.141500, batch loss=0.160462, epoch loss=2.314708 Batch=959, step=14160, lr=0.141250, batch loss=0.156860, epoch loss=2.471569 Batch=1019, step=14220, lr=0.140750, batch loss=0.374445, epoch loss=2.846014 Batch=1079, step=14280, lr=0.140500, batch loss=0.068512, epoch loss=2.914525 Batch=1139, step=14340, lr=0.140250, batch loss=0.123591, epoch loss=3.038116 Batch=1199, step=14400, lr=0.140000, batch loss=0.093847, epoch loss=3.131963 Epoch=11, step=14400, lr=0.140000, epoch loss=3.131963 Batch=59, step=14460, lr=0.139750, batch loss=0.125594, epoch loss=0.125594 Batch=119, step=14520, lr=0.139750, batch loss=0.108050, epoch loss=0.233644 Batch=179, step=14580, lr=0.139500, batch loss=0.108513, epoch loss=0.342157 Batch=239, step=14640, lr=0.139000, batch loss=0.143669, epoch loss=0.485826 Batch=299, step=14700, lr=0.138750, batch loss=0.082224, epoch loss=0.568051 Batch=359, step=14760, lr=0.138500, batch loss=0.120299, epoch loss=0.688350 Batch=419, step=14820, lr=0.138250, batch loss=0.130316, epoch loss=0.818666 Batch=479, step=14880, lr=0.138000, batch loss=0.099510, epoch loss=0.918176 Batch=539, step=14940, lr=0.138000, batch loss=0.086207, epoch loss=1.004383 Batch=599, step=15000, lr=0.137750, batch loss=0.086353, epoch loss=1.090736 Batch=659, step=15060, lr=0.137500, batch loss=0.131820, epoch loss=1.222556 Batch=719, step=15120, lr=0.137000, batch loss=0.148108, epoch loss=1.370664 Batch=779, step=15180, lr=0.137000, batch loss=0.204332, epoch loss=1.574997 Batch=839, step=15240, lr=0.136500, batch loss=0.152555, epoch loss=1.727552 Batch=899, step=15300, lr=0.136250, batch loss=0.144771, epoch loss=1.872323 Batch=959, step=15360, lr=0.136250, batch loss=0.090513, epoch loss=1.962836 Batch=1019, step=15420, lr=0.136000, batch loss=0.156382, epoch loss=2.119217 Batch=1079, step=15480, lr=0.135750, batch loss=0.050718, epoch loss=2.169935 Batch=1139, step=15540, lr=0.135500, batch loss=0.101629, epoch loss=2.271564 Batch=1199, step=15600, lr=0.135250, batch loss=0.058067, epoch loss=2.329631 Epoch=12, step=15600, lr=0.135250, epoch loss=2.329631 Batch=59, step=15660, lr=0.135000, batch loss=0.076717, epoch loss=0.076717 Batch=119, step=15720, lr=0.134750, batch loss=0.122854, epoch loss=0.199570 Batch=179, step=15780, lr=0.134500, batch loss=0.091064, epoch loss=0.290635 Batch=239, step=15840, lr=0.134250, batch loss=0.093598, epoch loss=0.384233 Batch=299, step=15900, lr=0.134000, batch loss=0.039259, epoch loss=0.423492 Batch=359, step=15960, lr=0.133750, batch loss=0.080976, epoch loss=0.504468 Batch=419, step=16020, lr=0.133250, batch loss=0.083331, epoch loss=0.587798 Batch=479, step=16080, lr=0.133250, batch loss=0.071061, epoch loss=0.658859 Batch=539, step=16140, lr=0.133000, batch loss=0.061037, epoch loss=0.719896 Batch=599, step=16200, lr=0.132500, batch loss=0.137277, epoch loss=0.857174 Batch=659, step=16260, lr=0.132250, batch loss=0.085309, epoch loss=0.942482 Batch=719, step=16320, lr=0.132000, batch loss=0.127677, epoch loss=1.070159 Batch=779, step=16380, lr=0.131750, batch loss=0.289922, epoch loss=1.360081 Batch=839, step=16440, lr=0.131750, batch loss=0.091832, epoch loss=1.451913 Batch=899, step=16500, lr=0.131500, batch loss=0.086149, epoch loss=1.538062 Batch=959, step=16560, lr=0.131250, batch loss=0.033880, epoch loss=1.571942 Batch=1019, step=16620, lr=0.131000, batch loss=0.057805, epoch loss=1.629747 Batch=1079, step=16680, lr=0.130750, batch loss=0.065173, epoch loss=1.694920 Batch=1139, step=16740, lr=0.130500, batch loss=0.120953, epoch loss=1.815873 Batch=1199, step=16800, lr=0.130250, batch loss=0.054511, epoch loss=1.870384 Epoch=13, step=16800, lr=0.130250, epoch loss=1.870384 Batch=59, step=16860, lr=0.130000, batch loss=0.034450, epoch loss=0.034450 Batch=119, step=16920, lr=0.129750, batch loss=0.034719, epoch loss=0.069169 Batch=179, step=16980, lr=0.129500, batch loss=0.046513, epoch loss=0.115683 Batch=239, step=17040, lr=0.129000, batch loss=0.060382, epoch loss=0.176065 Batch=299, step=17100, lr=0.128750, batch loss=0.019386, epoch loss=0.195451 Batch=359, step=17160, lr=0.128750, batch loss=0.044962, epoch loss=0.240414 Batch=419, step=17220, lr=0.128500, batch loss=0.046826, epoch loss=0.287240 Batch=479, step=17280, lr=0.128250, batch loss=0.030270, epoch loss=0.317510 Batch=539, step=17340, lr=0.128000, batch loss=0.041611, epoch loss=0.359121 Batch=599, step=17400, lr=0.127750, batch loss=0.086535, epoch loss=0.445656 Batch=659, step=17460, lr=0.127500, batch loss=0.051356, epoch loss=0.497013 Batch=719, step=17520, lr=0.127250, batch loss=0.063886, epoch loss=0.560899 Batch=779, step=17580, lr=0.127000, batch loss=0.120348, epoch loss=0.681247 Batch=839, step=17640, lr=0.126750, batch loss=0.085804, epoch loss=0.767051 Batch=899, step=17700, lr=0.126500, batch loss=0.112819, epoch loss=0.879870 Batch=959, step=17760, lr=0.126000, batch loss=0.023533, epoch loss=0.903404 Batch=1019, step=17820, lr=0.126000, batch loss=0.043434, epoch loss=0.946837 Batch=1079, step=17880, lr=0.125750, batch loss=0.010753, epoch loss=0.957590 Batch=1139, step=17940, lr=0.125500, batch loss=0.029696, epoch loss=0.987286 Batch=1199, step=18000, lr=0.125250, batch loss=0.014078, epoch loss=1.001364 Epoch=14, step=18000, lr=0.125250, epoch loss=1.001364 Batch=59, step=18060, lr=0.124750, batch loss=0.011592, epoch loss=0.011592 Batch=119, step=18120, lr=0.124750, batch loss=0.020318, epoch loss=0.031910 Batch=179, step=18180, lr=0.124500, batch loss=0.034847, epoch loss=0.066757 Batch=239, step=18240, lr=0.124250, batch loss=0.036914, epoch loss=0.103671 Batch=299, step=18300, lr=0.123750, batch loss=0.018895, epoch loss=0.122566 Batch=359, step=18360, lr=0.123750, batch loss=0.024890, epoch loss=0.147457 Batch=419, step=18420, lr=0.123500, batch loss=0.031293, epoch loss=0.178750 Batch=479, step=18480, lr=0.123250, batch loss=0.017156, epoch loss=0.195906 Batch=539, step=18540, lr=0.123000, batch loss=0.024844, epoch loss=0.220750 Batch=599, step=18600, lr=0.122750, batch loss=0.025963, epoch loss=0.246713 Batch=659, step=18660, lr=0.122500, batch loss=0.029714, epoch loss=0.276427 Batch=719, step=18720, lr=0.122250, batch loss=0.039183, epoch loss=0.315611 Batch=779, step=18780, lr=0.122000, batch loss=0.102151, epoch loss=0.417761 Batch=839, step=18840, lr=0.121750, batch loss=0.070272, epoch loss=0.488033 Batch=899, step=18900, lr=0.121500, batch loss=0.090636, epoch loss=0.578670 Batch=959, step=18960, lr=0.121250, batch loss=0.015363, epoch loss=0.594033 Batch=1019, step=19020, lr=0.121000, batch loss=0.023661, epoch loss=0.617694 Batch=1079, step=19080, lr=0.120750, batch loss=0.007147, epoch loss=0.624841 Batch=1139, step=19140, lr=0.120500, batch loss=0.024757, epoch loss=0.649598 Batch=1199, step=19200, lr=0.120250, batch loss=0.010854, epoch loss=0.660452 Epoch=15, step=19200, lr=0.120250, epoch loss=0.660452 Batch=59, step=19260, lr=0.120000, batch loss=0.005282, epoch loss=0.005282 Batch=119, step=19320, lr=0.119750, batch loss=0.016338, epoch loss=0.021621 Batch=179, step=19380, lr=0.119250, batch loss=0.030986, epoch loss=0.052607 Batch=239, step=19440, lr=0.119250, batch loss=0.023111, epoch loss=0.075717 Batch=299, step=19500, lr=0.119000, batch loss=0.007478, epoch loss=0.083195 Batch=359, step=19560, lr=0.118750, batch loss=0.016797, epoch loss=0.099992 Batch=419, step=19620, lr=0.118500, batch loss=0.019688, epoch loss=0.119680 Batch=479, step=19680, lr=0.118250, batch loss=0.009512, epoch loss=0.129193 Batch=539, step=19740, lr=0.118000, batch loss=0.020259, epoch loss=0.149451 Batch=599, step=19800, lr=0.117750, batch loss=0.019893, epoch loss=0.169344 Batch=659, step=19860, lr=0.117500, batch loss=0.021059, epoch loss=0.190403 Batch=719, step=19920, lr=0.117250, batch loss=0.024067, epoch loss=0.214470 Batch=779, step=19980, lr=0.117000, batch loss=0.051515, epoch loss=0.265986 Batch=839, step=20040, lr=0.116750, batch loss=0.040779, epoch loss=0.306765 Batch=899, step=20100, lr=0.116500, batch loss=0.048666, epoch loss=0.355431 Batch=959, step=20160, lr=0.116250, batch loss=0.011462, epoch loss=0.366892 Batch=1019, step=20220, lr=0.116000, batch loss=0.012937, epoch loss=0.379829 Batch=1079, step=20280, lr=0.115750, batch loss=0.002892, epoch loss=0.382721 Batch=1139, step=20340, lr=0.115500, batch loss=0.015130, epoch loss=0.397852 Batch=1199, step=20400, lr=0.115250, batch loss=0.008002, epoch loss=0.405854 Epoch=16, step=20400, lr=0.115250, epoch loss=0.405854 Batch=59, step=20460, lr=0.114750, batch loss=0.004009, epoch loss=0.004009 Batch=119, step=20520, lr=0.114750, batch loss=0.013278, epoch loss=0.017287 Batch=179, step=20580, lr=0.114500, batch loss=0.025582, epoch loss=0.042869 Batch=239, step=20640, lr=0.114250, batch loss=0.014138, epoch loss=0.057007 Batch=299, step=20700, lr=0.114000, batch loss=0.004284, epoch loss=0.061291 Batch=359, step=20760, lr=0.113750, batch loss=0.015778, epoch loss=0.077069 Batch=419, step=20820, lr=0.113500, batch loss=0.014866, epoch loss=0.091935 Batch=479, step=20880, lr=0.113250, batch loss=0.004981, epoch loss=0.096916 Batch=539, step=20940, lr=0.113000, batch loss=0.015863, epoch loss=0.112779 Batch=599, step=21000, lr=0.112750, batch loss=0.019097, epoch loss=0.131876 Batch=659, step=21060, lr=0.112500, batch loss=0.015492, epoch loss=0.147368 Batch=719, step=21120, lr=0.112250, batch loss=0.040697, epoch loss=0.188065 Batch=779, step=21180, lr=0.112000, batch loss=0.075997, epoch loss=0.264062 Batch=839, step=21240, lr=0.111500, batch loss=0.027074, epoch loss=0.291136 Batch=899, step=21300, lr=0.111500, batch loss=0.034429, epoch loss=0.325565 Batch=959, step=21360, lr=0.111250, batch loss=0.009714, epoch loss=0.335279 Batch=1019, step=21420, lr=0.111000, batch loss=0.011185, epoch loss=0.346464 Batch=1079, step=21480, lr=0.110750, batch loss=0.000957, epoch loss=0.347421 Batch=1139, step=21540, lr=0.110500, batch loss=0.013059, epoch loss=0.360480 Batch=1199, step=21600, lr=0.110250, batch loss=0.005226, epoch loss=0.365706 Epoch=17, step=21600, lr=0.110250, epoch loss=0.365706 Batch=59, step=21660, lr=0.110000, batch loss=0.002258, epoch loss=0.002258 Batch=119, step=21720, lr=0.109750, batch loss=0.006495, epoch loss=0.008753 Batch=179, step=21780, lr=0.109500, batch loss=0.013188, epoch loss=0.021941 Batch=239, step=21840, lr=0.109250, batch loss=0.009587, epoch loss=0.031528 Batch=299, step=21900, lr=0.109000, batch loss=0.004652, epoch loss=0.036181 Batch=359, step=21960, lr=0.108750, batch loss=0.013245, epoch loss=0.049426 Batch=419, step=22020, lr=0.108500, batch loss=0.012481, epoch loss=0.061907 Batch=479, step=22080, lr=0.108250, batch loss=0.002697, epoch loss=0.064604 Batch=539, step=22140, lr=0.108000, batch loss=0.019505, epoch loss=0.084109 Batch=599, step=22200, lr=0.107750, batch loss=0.016501, epoch loss=0.100610 Batch=659, step=22260, lr=0.107500, batch loss=0.015961, epoch loss=0.116571 Batch=719, step=22320, lr=0.107250, batch loss=0.024491, epoch loss=0.141062 Batch=779, step=22380, lr=0.107000, batch loss=0.038303, epoch loss=0.179365 Batch=839, step=22440, lr=0.106750, batch loss=0.020932, epoch loss=0.200298 Batch=899, step=22500, lr=0.106500, batch loss=0.022829, epoch loss=0.223127 Batch=959, step=22560, lr=0.106250, batch loss=0.012095, epoch loss=0.235222 Batch=1019, step=22620, lr=0.106000, batch loss=0.009494, epoch loss=0.244716 Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.244716 Batch=1139, step=22740, lr=0.105500, batch loss=0.010139, epoch loss=0.254855 Batch=1199, step=22800, lr=0.105250, batch loss=0.004417, epoch loss=0.259272 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259272 Batch=59, step=22860, lr=0.105000, batch loss=0.001744, epoch loss=0.001744 Batch=119, step=22920, lr=0.104750, batch loss=0.005857, epoch loss=0.007601 Batch=179, step=22980, lr=0.104500, batch loss=0.010936, epoch loss=0.018537 Batch=239, step=23040, lr=0.104000, batch loss=0.011916, epoch loss=0.030453 Batch=299, step=23100, lr=0.104000, batch loss=0.007641, epoch loss=0.038094 Batch=359, step=23160, lr=0.103750, batch loss=0.012311, epoch loss=0.050405 Batch=419, step=23220, lr=0.103500, batch loss=0.011393, epoch loss=0.061799 Batch=479, step=23280, lr=0.103250, batch loss=0.003917, epoch loss=0.065715 Batch=539, step=23340, lr=0.103000, batch loss=0.014654, epoch loss=0.080369 Batch=599, step=23400, lr=0.102750, batch loss=0.014692, epoch loss=0.095061 Batch=659, step=23460, lr=0.102500, batch loss=0.013953, epoch loss=0.109013 Batch=719, step=23520, lr=0.102250, batch loss=0.018646, epoch loss=0.127660 Batch=779, step=23580, lr=0.102000, batch loss=0.019096, epoch loss=0.146755 Batch=839, step=23640, lr=0.101750, batch loss=0.027875, epoch loss=0.174630 Batch=899, step=23700, lr=0.101500, batch loss=0.021436, epoch loss=0.196066 Batch=959, step=23760, lr=0.101250, batch loss=0.010191, epoch loss=0.206257 Batch=1019, step=23820, lr=0.101000, batch loss=0.007217, epoch loss=0.213475 Batch=1079, step=23880, lr=0.100750, batch loss=0.001332, epoch loss=0.214807 Batch=1139, step=23940, lr=0.100500, batch loss=0.008577, epoch loss=0.223384 Batch=1199, step=24000, lr=0.100250, batch loss=0.004766, epoch loss=0.228149 Epoch=19, step=24000, lr=0.100250, epoch loss=0.228149 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-10 12:55.55 ---> saved as "44f1f75c2b2b82e6f39ca350c371e414c2e7db1b729175493f47e0b7f4757b6f" Job succeeded 2025-04-10 12:55.56: Job succeeded