2025-04-07 20:43.57: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1705d6ffcc4b12d606ebb60478ff139e6bbf341f) (linux-x86_64:debian-12-5.3+flambda_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 1705d6ff cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96 # debian-12-5.3+flambda_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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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 2025-04-07 20:43.57: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96-debian-12-5.3+flambda_opam-2.3-db6520af454a535c37b3e16ec38bbe48" 2025-04-07 20:43.57: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96) (comment debian-12-5.3+flambda_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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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")) ) 2025-04-07 20:43.57: Waiting for resource in pool OCluster 2025-04-07 20:43.57: Waiting for worker… 2025-04-07 20:43.58: Got resource from pool OCluster Building on asteria.caelum.ci.dev All commits already cached HEAD is now at 1705d6ff Missing from previous commit (from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:36b0564f1768719da7bdf896155176e645f1eed290256ed08bf88aedbed5db96) 2025-04-07 20:43.59 ---> using "0cceac30ed9dfa8d54c8dfb703526aecc2d1f25e09755ea19f6a9b3ce08944d1" from cache /: (comment debian-12-5.3+flambda_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")) 2025-04-07 20:43.59 ---> using "b6cc72d0b69338afee388438c163da01e1509537d9db800516f8d6f84e0ff0f0" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 39 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=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-04-07 20:43.59 ---> using "9579671be2547253d961834dbf99a2617c3043d50341e16980a14c2b7946d157" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-04-07 20:43.59 ---> using "21f2427316ecd3b2b1d06245ccc85b94bbe86b75b44d925374a8e2c678f4916d" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-07 20:43.59 ---> using "a9c2b183ae9ffb50c46a6bddc4bdbd4bc2a49a6d4fa95d31a0495ab1d51f7cf3" from cache /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 862a7640b1..598efb46ec master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-07 20:43.59 ---> using "90f5f6581f4ecebc3374e38fea2d427b196dc3fc23a8f2cc0ed468b7941de9f0" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-07 20:43.59 ---> using "7934f9478e2906c5aaf4dbf062720282716d9c205aa5a4cb2e78e78dd00fe647" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-04-07 20:43.59 ---> using "dd5705e153e462be0fade028f8a5a544c153f62afbe52ec794f64ae2883d25ac" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-07 20:43.59 ---> using "b68f81a391ad39dbd53ee94cfba6054accc13dae35925bd79239fe0a91d033fa" from cache /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-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options 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" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8792 kB] - Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages.diff/Index [16.2 kB] - Get:6 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [251 kB] - Get:7 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Get:7 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Fetched 9314 kB in 2s (5779 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options). [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 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 libffi-dev: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 ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-04-07 20:43.59 ---> using "74f54dcaf9d3a8e3039f09717d7182fe85654720990051bd12874775e068523c" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options). [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 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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (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 multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved mdx.2.5.0 (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 dune.3.18.0, dune-configurator.3.18.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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 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 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 fmt.0.10.0 -> 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 backoff.0.1.1 -> installed printbox.0.12 -> installed bigarray-compat.1.1.0 -> installed csexp.1.5.2 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_globalize.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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> 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) 2025-04-07 20:43.59 ---> using "e1621c7e61ca3c899c0d22c87f1521e053ccb06e3e1b6c4f86fb223ed16535bb" from cache /src: (copy (src .) (dst /src)) 2025-04-07 20:43.59 ---> saved as "9297278a6630cf406c42a7da6e2dd589699fdb9c1821f8c7a05083548eeb322d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c52b2975decfcbbcd79249bb7164f199/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9ac6917032bfccdc73bac4a5b9c4be06/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/9ac6917032bfccdc73bac4a5b9c4be06/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=0.190500, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278125, epoch loss=5.441779 Batch=1199, step=2400, lr=0.190250, batch loss=0.220884, epoch loss=5.662663 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662663 Batch=59, step=2460, lr=0.190000, batch loss=0.230473, epoch loss=0.230473 Batch=119, step=2520, lr=0.189750, batch loss=0.195851, epoch loss=0.426324 Batch=179, step=2580, lr=0.189500, batch loss=0.221193, epoch loss=0.647517 Batch=239, step=2640, lr=0.189250, batch loss=0.328084, epoch loss=0.975601 Batch=299, step=2700, lr=0.189000, batch loss=0.202868, epoch loss=1.178469 Batch=359, step=2760, lr=0.188750, batch loss=0.288308, epoch loss=1.466777 Batch=419, step=2820, lr=0.188500, batch loss=0.280174, epoch loss=1.746951 Batch=479, step=2880, lr=0.188250, batch loss=0.251450, epoch loss=1.998401 Batch=539, step=2940, lr=0.188000, batch loss=0.191265, epoch loss=2.189666 Batch=599, step=3000, lr=0.187750, batch loss=0.225024, epoch loss=2.414690 Batch=659, step=3060, lr=0.187500, batch loss=0.335715, epoch loss=2.750405 Batch=719, step=3120, lr=0.187250, batch loss=0.331473, epoch loss=3.081878 Batch=779, step=3180, lr=0.187000, batch loss=0.357826, epoch loss=3.439705 Batch=839, step=3240, lr=0.186750, batch loss=0.325693, epoch loss=3.765398 Batch=899, step=3300, lr=0.186500, batch loss=0.292222, epoch loss=4.057620 Batch=959, step=3360, lr=0.186250, batch loss=0.245181, epoch loss=4.302801 Batch=1019, step=3420, lr=0.186000, batch loss=0.361658, epoch loss=4.664460 Batch=1079, step=3480, lr=0.185750, batch loss=0.222309, epoch loss=4.886769 Batch=1139, step=3540, lr=0.185500, batch loss=0.263890, epoch loss=5.150659 Batch=1199, step=3600, lr=0.185250, batch loss=0.199977, epoch loss=5.350636 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350636 Batch=59, step=3660, lr=0.185000, batch loss=0.221284, epoch loss=0.221284 Batch=119, step=3720, lr=0.184750, batch loss=0.184903, epoch loss=0.406188 Batch=179, step=3780, lr=0.184500, batch loss=0.211368, epoch loss=0.617555 Batch=239, step=3840, lr=0.184250, batch loss=0.317008, epoch loss=0.934563 Batch=299, step=3900, lr=0.184000, batch loss=0.209084, epoch loss=1.143647 Batch=359, step=3960, lr=0.183750, batch loss=0.285746, epoch loss=1.429393 Batch=419, step=4020, lr=0.183500, batch loss=0.278149, epoch loss=1.707541 Batch=479, step=4080, lr=0.183250, batch loss=0.255079, epoch loss=1.962620 Batch=539, step=4140, lr=0.183000, batch loss=0.199818, epoch loss=2.162438 Batch=599, step=4200, lr=0.182750, batch loss=0.242790, epoch loss=2.405229 Batch=659, step=4260, lr=0.182500, batch loss=0.327665, epoch loss=2.732894 Batch=719, step=4320, lr=0.182250, batch loss=0.330953, epoch loss=3.063848 Batch=779, step=4380, lr=0.182000, batch loss=0.349620, epoch loss=3.413468 Batch=839, step=4440, lr=0.181750, batch loss=0.317943, epoch loss=3.731411 Batch=899, step=4500, lr=0.181500, batch loss=0.285596, epoch loss=4.017007 Batch=959, step=4560, lr=0.181250, batch loss=0.239915, epoch loss=4.256923 Batch=1019, step=4620, lr=0.181000, batch loss=0.332705, epoch loss=4.589628 Batch=1079, step=4680, lr=0.180750, batch loss=0.196000, epoch loss=4.785628 Batch=1139, step=4740, lr=0.180500, batch loss=0.228965, epoch loss=5.014593 Batch=1199, step=4800, lr=0.180250, batch loss=0.193256, epoch loss=5.207849 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207849 Batch=59, step=4860, lr=0.180000, batch loss=0.234355, epoch loss=0.234355 Batch=119, step=4920, lr=0.179750, batch loss=0.191915, epoch loss=0.426271 Batch=179, step=4980, lr=0.179500, batch loss=0.205727, epoch loss=0.631998 Batch=239, step=5040, lr=0.179250, batch loss=0.307610, epoch loss=0.939608 Batch=299, step=5100, lr=0.179000, batch loss=0.205834, epoch loss=1.145442 Batch=359, step=5160, lr=0.178750, batch loss=0.270880, epoch loss=1.416322 Batch=419, step=5220, lr=0.178500, batch loss=0.265429, epoch loss=1.681751 Batch=479, step=5280, lr=0.178250, batch loss=0.242086, epoch loss=1.923837 Batch=539, step=5340, lr=0.178000, batch loss=0.194988, epoch loss=2.118825 Batch=599, step=5400, lr=0.177750, batch loss=0.243710, epoch loss=2.362535 Batch=659, step=5460, lr=0.177500, batch loss=0.317001, epoch loss=2.679536 Batch=719, step=5520, lr=0.177250, batch loss=0.317872, epoch loss=2.997408 Batch=779, step=5580, lr=0.177000, batch loss=0.342989, epoch loss=3.340397 Batch=839, step=5640, lr=0.176750, batch loss=0.308348, epoch loss=3.648744 Batch=899, step=5700, lr=0.176500, batch loss=0.273685, epoch loss=3.922429 Batch=959, step=5760, lr=0.176250, batch loss=0.211040, epoch loss=4.133469 Batch=1019, step=5820, lr=0.176000, batch loss=0.338411, epoch loss=4.471879 Batch=1079, step=5880, lr=0.175750, batch loss=0.201699, epoch loss=4.673578 Batch=1139, step=5940, lr=0.175500, batch loss=0.242807, epoch loss=4.916386 Batch=1199, step=6000, lr=0.175250, batch loss=0.185367, epoch loss=5.101752 Epoch=4, step=6000, lr=0.175250, epoch loss=5.101752 Batch=59, step=6060, lr=0.175000, batch loss=0.226591, epoch loss=0.226591 Batch=119, step=6120, lr=0.174750, batch loss=0.183919, epoch loss=0.410509 Batch=179, step=6180, lr=0.174500, batch loss=0.201381, epoch loss=0.611890 Batch=239, step=6240, lr=0.174250, batch loss=0.301362, epoch loss=0.913252 Batch=299, step=6300, lr=0.174000, batch loss=0.205504, epoch loss=1.118756 Batch=359, step=6360, lr=0.173750, batch loss=0.265094, epoch loss=1.383850 Batch=419, step=6420, lr=0.173500, batch loss=0.261206, epoch loss=1.645056 Batch=479, step=6480, lr=0.173250, batch loss=0.236245, epoch loss=1.881301 Batch=539, step=6540, lr=0.173000, batch loss=0.187843, epoch loss=2.069144 Batch=599, step=6600, lr=0.172750, batch loss=0.226658, epoch loss=2.295802 Batch=659, step=6660, lr=0.172500, batch loss=0.316474, epoch loss=2.612276 Batch=719, step=6720, lr=0.172250, batch loss=0.318677, epoch loss=2.930954 Batch=779, step=6780, lr=0.172000, batch loss=0.329637, epoch loss=3.260590 Batch=839, step=6840, lr=0.171750, batch loss=0.301130, epoch loss=3.561720 Batch=899, step=6900, lr=0.171500, batch loss=0.270442, epoch loss=3.832163 Batch=959, step=6960, lr=0.171250, batch loss=0.218598, epoch loss=4.050761 Batch=1019, step=7020, lr=0.171000, batch loss=0.327392, epoch loss=4.378153 Batch=1079, step=7080, lr=0.170750, batch loss=0.186558, epoch loss=4.564711 Batch=1139, step=7140, lr=0.170500, batch loss=0.217532, epoch loss=4.782243 Batch=1199, step=7200, lr=0.170250, batch loss=0.183547, epoch loss=4.965790 Epoch=5, step=7200, lr=0.170250, epoch loss=4.965790 Batch=59, step=7260, lr=0.170000, batch loss=0.237565, epoch loss=0.237565 Batch=119, step=7320, lr=0.169750, batch loss=0.181414, epoch loss=0.418979 Batch=179, step=7380, lr=0.169500, batch loss=0.195810, epoch loss=0.614789 Batch=239, step=7440, lr=0.169250, batch loss=0.291436, epoch loss=0.906225 Batch=299, step=7500, lr=0.169000, batch loss=0.199698, epoch loss=1.105924 Batch=359, step=7560, lr=0.168750, batch loss=0.260046, epoch loss=1.365970 Batch=419, step=7620, lr=0.168500, batch loss=0.256305, epoch loss=1.622275 Batch=479, step=7680, lr=0.168250, batch loss=0.237033, epoch loss=1.859308 Batch=539, step=7740, lr=0.168000, batch loss=0.187218, epoch loss=2.046526 Batch=599, step=7800, lr=0.167750, batch loss=0.225796, epoch loss=2.272322 Batch=659, step=7860, lr=0.167500, batch loss=0.305540, epoch loss=2.577862 Batch=719, step=7920, lr=0.167250, batch loss=0.307686, epoch loss=2.885547 Batch=779, step=7980, lr=0.167000, batch loss=0.321792, epoch loss=3.207340 Batch=839, step=8040, lr=0.166750, batch loss=0.296058, epoch loss=3.503398 Batch=899, step=8100, lr=0.166500, batch loss=0.259387, epoch loss=3.762785 Batch=959, step=8160, lr=0.166250, batch loss=0.207735, epoch loss=3.970520 Batch=1019, step=8220, lr=0.166000, batch loss=0.317180, epoch loss=4.287700 Batch=1079, step=8280, lr=0.165750, batch loss=0.172012, epoch loss=4.459713 Batch=1139, step=8340, lr=0.165500, batch loss=0.208908, epoch loss=4.668621 Batch=1199, step=8400, lr=0.165250, batch loss=0.177704, epoch loss=4.846324 Epoch=6, step=8400, lr=0.165250, epoch loss=4.846324 Batch=59, step=8460, lr=0.165000, batch loss=0.229426, epoch loss=0.229426 Batch=119, step=8520, lr=0.164750, batch loss=0.174429, epoch loss=0.403855 Batch=179, step=8580, lr=0.164500, batch loss=0.187561, epoch loss=0.591416 Batch=239, step=8640, lr=0.164250, batch loss=0.276630, epoch loss=0.868046 Batch=299, step=8700, lr=0.164000, batch loss=0.190836, epoch loss=1.058882 Batch=359, step=8760, lr=0.163750, batch loss=0.248549, epoch loss=1.307431 Batch=419, step=8820, lr=0.163500, batch loss=0.244520, epoch loss=1.551951 Batch=479, step=8880, lr=0.163250, batch loss=0.228650, epoch loss=1.780601 Batch=539, step=8940, lr=0.163000, batch loss=0.177515, epoch loss=1.958115 Batch=599, step=9000, lr=0.162750, batch loss=0.218427, epoch loss=2.176542 Batch=659, step=9060, lr=0.162500, batch loss=0.293771, epoch loss=2.470314 Batch=719, step=9120, lr=0.162250, batch loss=0.294944, epoch loss=2.765258 Batch=779, step=9180, lr=0.162000, batch loss=0.314480, epoch loss=3.079737 Batch=839, step=9240, lr=0.161750, batch loss=0.287122, epoch loss=3.366859 Batch=899, step=9300, lr=0.161500, batch loss=0.250592, epoch loss=3.617451 Batch=959, step=9360, lr=0.161250, batch loss=0.190970, epoch loss=3.808421 Batch=1019, step=9420, lr=0.161000, batch loss=0.314491, epoch loss=4.122912 Batch=1079, step=9480, lr=0.160750, batch loss=0.188915, epoch loss=4.311827 Batch=1139, step=9540, lr=0.160500, batch loss=0.210962, epoch loss=4.522789 Batch=1199, step=9600, lr=0.160250, batch loss=0.166820, epoch loss=4.689609 Epoch=7, step=9600, lr=0.160250, epoch loss=4.689609 Batch=59, step=9660, lr=0.160000, batch loss=0.199802, epoch loss=0.199802 Batch=119, step=9720, lr=0.159750, batch loss=0.163144, epoch loss=0.362947 Batch=179, step=9780, lr=0.159500, batch loss=0.177973, epoch loss=0.540919 Batch=239, step=9840, lr=0.159250, batch loss=0.262494, epoch loss=0.803413 Batch=299, step=9900, lr=0.159000, batch loss=0.181569, epoch loss=0.984983 Batch=359, step=9960, lr=0.158750, batch loss=0.239646, epoch loss=1.224628 Batch=419, step=10020, lr=0.158500, batch loss=0.231487, epoch loss=1.456115 Batch=479, step=10080, lr=0.158250, batch loss=0.213986, epoch loss=1.670101 Batch=539, step=10140, lr=0.158000, batch loss=0.170923, epoch loss=1.841024 Batch=599, step=10200, lr=0.157750, batch loss=0.202320, epoch loss=2.043344 Batch=659, step=10260, lr=0.157500, batch loss=0.281131, epoch loss=2.324474 Batch=719, step=10320, lr=0.157250, batch loss=0.283324, epoch loss=2.607798 Batch=779, step=10380, lr=0.157000, batch loss=0.293935, epoch loss=2.901733 Batch=839, step=10440, lr=0.156750, batch loss=0.270964, epoch loss=3.172697 Batch=899, step=10500, lr=0.156500, batch loss=0.237557, epoch loss=3.410254 Batch=959, step=10560, lr=0.156250, batch loss=0.177451, epoch loss=3.587705 Batch=1019, step=10620, lr=0.156000, batch loss=0.299979, epoch loss=3.887683 Batch=1079, step=10680, lr=0.155750, batch loss=0.175634, epoch loss=4.063317 Batch=1139, step=10740, lr=0.155500, batch loss=0.199364, epoch loss=4.262682 Batch=1199, step=10800, lr=0.155250, batch loss=0.153675, epoch loss=4.416357 Epoch=8, step=10800, lr=0.155250, epoch loss=4.416357 Batch=59, step=10860, lr=0.155000, batch loss=0.177134, epoch loss=0.177134 Batch=119, step=10920, lr=0.154750, batch loss=0.151193, epoch loss=0.328327 Batch=179, step=10980, lr=0.154500, batch loss=0.166589, epoch loss=0.494916 Batch=239, step=11040, lr=0.154250, batch loss=0.244319, epoch loss=0.739235 Batch=299, step=11100, lr=0.154000, batch loss=0.163303, epoch loss=0.902538 Batch=359, step=11160, lr=0.153750, batch loss=0.224698, epoch loss=1.127236 Batch=419, step=11220, lr=0.153500, batch loss=0.227645, epoch loss=1.354881 Batch=479, step=11280, lr=0.153250, batch loss=0.202568, epoch loss=1.557449 Batch=539, step=11340, lr=0.153000, batch loss=0.158612, epoch loss=1.716061 Batch=599, step=11400, lr=0.152750, batch loss=0.179266, epoch loss=1.895327 Batch=659, step=11460, lr=0.152500, batch loss=0.263108, epoch loss=2.158435 Batch=719, step=11520, lr=0.152250, batch loss=0.254434, epoch loss=2.412869 Batch=779, step=11580, lr=0.152000, batch loss=0.272263, epoch loss=2.685132 Batch=839, step=11640, lr=0.151750, batch loss=0.254617, epoch loss=2.939749 Batch=899, step=11700, lr=0.151500, batch loss=0.212571, epoch loss=3.152320 Batch=959, step=11760, lr=0.151250, batch loss=0.169299, epoch loss=3.321620 Batch=1019, step=11820, lr=0.151000, batch loss=0.264441, epoch loss=3.586061 Batch=1079, step=11880, lr=0.150750, batch loss=0.151469, epoch loss=3.737530 Batch=1139, step=11940, lr=0.150500, batch loss=0.184334, epoch loss=3.921864 Batch=1199, step=12000, lr=0.150250, batch loss=0.138850, epoch loss=4.060714 Epoch=9, step=12000, lr=0.150250, epoch loss=4.060714 Batch=59, step=12060, lr=0.150000, batch loss=0.158401, epoch loss=0.158401 Batch=119, step=12120, lr=0.149750, batch loss=0.127343, epoch loss=0.285745 Batch=179, step=12180, lr=0.149500, batch loss=0.151404, epoch loss=0.437149 Batch=239, step=12240, lr=0.149250, batch loss=0.218317, epoch loss=0.655465 Batch=299, step=12300, lr=0.149000, batch loss=0.139451, epoch loss=0.794916 Batch=359, step=12360, lr=0.148750, batch loss=0.196525, epoch loss=0.991441 Batch=419, step=12420, lr=0.148500, batch loss=0.210647, epoch loss=1.202088 Batch=479, step=12480, lr=0.148250, batch loss=0.173936, epoch loss=1.376024 Batch=539, step=12540, lr=0.148000, batch loss=0.145144, epoch loss=1.521168 Batch=599, step=12600, lr=0.147750, batch loss=0.151487, epoch loss=1.672655 Batch=659, step=12660, lr=0.147500, batch loss=0.228886, epoch loss=1.901541 Batch=719, step=12720, lr=0.147250, batch loss=0.226753, epoch loss=2.128294 Batch=779, step=12780, lr=0.147000, batch loss=0.249937, epoch loss=2.378231 Batch=839, step=12840, lr=0.146750, batch loss=0.222623, epoch loss=2.600854 Batch=899, step=12900, lr=0.146500, batch loss=0.185782, epoch loss=2.786637 Batch=959, step=12960, lr=0.146250, batch loss=0.153611, epoch loss=2.940248 Batch=1019, step=13020, lr=0.146000, batch loss=0.262480, epoch loss=3.202728 Batch=1079, step=13080, lr=0.145750, batch loss=0.113597, epoch loss=3.316325 Batch=1139, step=13140, lr=0.145500, batch loss=0.155123, epoch loss=3.471448 Batch=1199, step=13200, lr=0.145250, batch loss=0.117603, epoch loss=3.589050 Epoch=10, step=13200, lr=0.145250, epoch loss=3.589050 Batch=59, step=13260, lr=0.145000, batch loss=0.144861, epoch loss=0.144861 Batch=119, step=13320, lr=0.144750, batch loss=0.123970, epoch loss=0.268831 Batch=179, step=13380, lr=0.144500, batch loss=0.128613, epoch loss=0.397445 Batch=239, step=13440, lr=0.144250, batch loss=0.190434, epoch loss=0.587879 Batch=299, step=13500, lr=0.144000, batch loss=0.116077, epoch loss=0.703955 Batch=359, step=13560, lr=0.143750, batch loss=0.159298, epoch loss=0.863253 Batch=419, step=13620, lr=0.143500, batch loss=0.155959, epoch loss=1.019212 Batch=479, step=13680, lr=0.143250, batch loss=0.149418, epoch loss=1.168630 Batch=539, step=13740, lr=0.143000, batch loss=0.115737, epoch loss=1.284366 Batch=599, step=13800, lr=0.142750, batch loss=0.119656, epoch loss=1.404022 Batch=659, step=13860, lr=0.142500, batch loss=0.179097, epoch loss=1.583119 Batch=719, step=13920, lr=0.142250, batch loss=0.193787, epoch loss=1.776907 Batch=779, step=13980, lr=0.142000, batch loss=0.222059, epoch loss=1.998965 Batch=839, step=14040, lr=0.141750, batch loss=0.204776, epoch loss=2.203741 Batch=899, step=14100, lr=0.141500, batch loss=0.222795, epoch loss=2.426536 Batch=959, step=14160, lr=0.141250, batch loss=0.096500, epoch loss=2.523037 Batch=1019, step=14220, lr=0.141000, batch loss=0.202703, epoch loss=2.725740 Batch=1079, step=14280, lr=0.140750, batch loss=0.073077, epoch loss=2.798817 Batch=1139, step=14340, lr=0.140500, batch loss=0.117073, epoch loss=2.915889 Batch=1199, step=14400, lr=0.140250, batch loss=0.084754, epoch loss=3.000643 Epoch=11, step=14400, lr=0.140250, epoch loss=3.000643 Batch=59, step=14460, lr=0.140000, batch loss=0.107163, epoch loss=0.107163 Batch=119, step=14520, lr=0.139750, batch loss=0.104329, epoch loss=0.211492 Batch=179, step=14580, lr=0.139500, batch loss=0.099979, epoch loss=0.311471 Batch=239, step=14640, lr=0.139250, batch loss=0.139867, epoch loss=0.451338 Batch=299, step=14700, lr=0.139000, batch loss=0.075657, epoch loss=0.526995 Batch=359, step=14760, lr=0.138750, batch loss=0.119383, epoch loss=0.646378 Batch=419, step=14820, lr=0.138500, batch loss=0.130166, epoch loss=0.776544 Batch=479, step=14880, lr=0.138250, batch loss=0.099505, epoch loss=0.876049 Batch=539, step=14940, lr=0.138000, batch loss=0.109645, epoch loss=0.985694 Batch=599, step=15000, lr=0.137750, batch loss=0.083152, epoch loss=1.068846 Batch=659, step=15060, lr=0.137500, batch loss=0.126893, epoch loss=1.195739 Batch=719, step=15120, lr=0.137250, batch loss=0.118452, epoch loss=1.314190 Batch=779, step=15180, lr=0.137000, batch loss=0.131721, epoch loss=1.445912 Batch=839, step=15240, lr=0.136750, batch loss=0.173985, epoch loss=1.619897 Batch=899, step=15300, lr=0.136500, batch loss=0.306673, epoch loss=1.926570 Batch=959, step=15360, lr=0.136250, batch loss=0.055006, epoch loss=1.981576 Batch=1019, step=15420, lr=0.136000, batch loss=0.141523, epoch loss=2.123099 Batch=1079, step=15480, lr=0.135750, batch loss=0.043704, epoch loss=2.166803 Batch=1139, step=15540, lr=0.135500, batch loss=0.096821, epoch loss=2.263624 Batch=1199, step=15600, lr=0.135250, batch loss=0.060493, epoch loss=2.324117 Epoch=12, step=15600, lr=0.135250, epoch loss=2.324117 Batch=59, step=15660, lr=0.135000, batch loss=0.080370, epoch loss=0.080370 Batch=119, step=15720, lr=0.134750, batch loss=0.117015, epoch loss=0.197385 Batch=179, step=15780, lr=0.134500, batch loss=0.091594, epoch loss=0.288979 Batch=239, step=15840, lr=0.134250, batch loss=0.093788, epoch loss=0.382767 Batch=299, step=15900, lr=0.134000, batch loss=0.039249, epoch loss=0.422015 Batch=359, step=15960, lr=0.133750, batch loss=0.082602, epoch loss=0.504617 Batch=419, step=16020, lr=0.133500, batch loss=0.076817, epoch loss=0.581434 Batch=479, step=16080, lr=0.133250, batch loss=0.051660, epoch loss=0.633095 Batch=539, step=16140, lr=0.133000, batch loss=0.076299, epoch loss=0.709394 Batch=599, step=16200, lr=0.132750, batch loss=0.172560, epoch loss=0.881954 Batch=659, step=16260, lr=0.132500, batch loss=0.096410, epoch loss=0.978364 Batch=719, step=16320, lr=0.132250, batch loss=0.117692, epoch loss=1.096057 Batch=779, step=16380, lr=0.132000, batch loss=0.265586, epoch loss=1.361642 Batch=839, step=16440, lr=0.131750, batch loss=0.088518, epoch loss=1.450160 Batch=899, step=16500, lr=0.131500, batch loss=0.074147, epoch loss=1.524307 Batch=959, step=16560, lr=0.131250, batch loss=0.030550, epoch loss=1.554858 Batch=1019, step=16620, lr=0.131000, batch loss=0.067981, epoch loss=1.622838 Batch=1079, step=16680, lr=0.130750, batch loss=0.044307, epoch loss=1.667146 Batch=1139, step=16740, lr=0.130500, batch loss=0.076713, epoch loss=1.743859 Batch=1199, step=16800, lr=0.130250, batch loss=0.035602, epoch loss=1.779461 Epoch=13, step=16800, lr=0.130250, epoch loss=1.779461 Batch=59, step=16860, lr=0.130000, batch loss=0.032862, epoch loss=0.032862 Batch=119, step=16920, lr=0.129750, batch loss=0.035903, epoch loss=0.068765 Batch=179, step=16980, lr=0.129500, batch loss=0.041599, epoch loss=0.110364 Batch=239, step=17040, lr=0.129250, batch loss=0.056121, epoch loss=0.166485 Batch=299, step=17100, lr=0.129000, batch loss=0.020523, epoch loss=0.187007 Batch=359, step=17160, lr=0.128750, batch loss=0.041981, epoch loss=0.228989 Batch=419, step=17220, lr=0.128500, batch loss=0.055825, epoch loss=0.284813 Batch=479, step=17280, lr=0.128250, batch loss=0.030092, epoch loss=0.314906 Batch=539, step=17340, lr=0.128000, batch loss=0.055689, epoch loss=0.370594 Batch=599, step=17400, lr=0.127750, batch loss=0.035038, epoch loss=0.405633 Batch=659, step=17460, lr=0.127500, batch loss=0.049016, epoch loss=0.454649 Batch=719, step=17520, lr=0.127250, batch loss=0.043342, epoch loss=0.497991 Batch=779, step=17580, lr=0.127000, batch loss=0.087586, epoch loss=0.585577 Batch=839, step=17640, lr=0.126750, batch loss=0.262193, epoch loss=0.847770 Batch=899, step=17700, lr=0.126500, batch loss=0.054261, epoch loss=0.902031 Batch=959, step=17760, lr=0.126250, batch loss=0.038796, epoch loss=0.940827 Batch=1019, step=17820, lr=0.126000, batch loss=0.072763, epoch loss=1.013590 Batch=1079, step=17880, lr=0.125750, batch loss=0.013712, epoch loss=1.027303 Batch=1139, step=17940, lr=0.125500, batch loss=0.030736, epoch loss=1.058039 Batch=1199, step=18000, lr=0.125250, batch loss=0.015741, epoch loss=1.073780 Epoch=14, step=18000, lr=0.125250, epoch loss=1.073780 Batch=59, step=18060, lr=0.125000, batch loss=0.012818, epoch loss=0.012818 Batch=119, step=18120, lr=0.124750, batch loss=0.020786, epoch loss=0.033604 Batch=179, step=18180, lr=0.124500, batch loss=0.034074, epoch loss=0.067678 Batch=239, step=18240, lr=0.124250, batch loss=0.039098, epoch loss=0.106776 Batch=299, step=18300, lr=0.124000, batch loss=0.015260, epoch loss=0.122036 Batch=359, step=18360, lr=0.123750, batch loss=0.024876, epoch loss=0.146912 Batch=419, step=18420, lr=0.123500, batch loss=0.031503, epoch loss=0.178415 Batch=479, step=18480, lr=0.123250, batch loss=0.019757, epoch loss=0.198172 Batch=539, step=18540, lr=0.123000, batch loss=0.039314, epoch loss=0.237486 Batch=599, step=18600, lr=0.122750, batch loss=0.027246, epoch loss=0.264732 Batch=659, step=18660, lr=0.122500, batch loss=0.031870, epoch loss=0.296602 Batch=719, step=18720, lr=0.122250, batch loss=0.039168, epoch loss=0.335771 Batch=779, step=18780, lr=0.122000, batch loss=0.112963, epoch loss=0.448734 Batch=839, step=18840, lr=0.121750, batch loss=0.049555, epoch loss=0.498289 Batch=899, step=18900, lr=0.121500, batch loss=0.049798, epoch loss=0.548087 Batch=959, step=18960, lr=0.121250, batch loss=0.013541, epoch loss=0.561628 Batch=1019, step=19020, lr=0.121000, batch loss=0.024717, epoch loss=0.586345 Batch=1079, step=19080, lr=0.120750, batch loss=0.011151, epoch loss=0.597496 Batch=1139, step=19140, lr=0.120500, batch loss=0.023866, epoch loss=0.621362 Batch=1199, step=19200, lr=0.120250, batch loss=0.009244, epoch loss=0.630606 Epoch=15, step=19200, lr=0.120250, epoch loss=0.630606 Batch=59, step=19260, lr=0.120000, batch loss=0.004883, epoch loss=0.004883 Batch=119, step=19320, lr=0.119750, batch loss=0.019772, epoch loss=0.024656 Batch=179, step=19380, lr=0.119500, batch loss=0.041695, epoch loss=0.066351 Batch=239, step=19440, lr=0.119250, batch loss=0.020448, epoch loss=0.086799 Batch=299, step=19500, lr=0.119000, batch loss=0.004937, epoch loss=0.091736 Batch=359, step=19560, lr=0.118750, batch loss=0.016957, epoch loss=0.108693 Batch=419, step=19620, lr=0.118500, batch loss=0.020184, epoch loss=0.128878 Batch=479, step=19680, lr=0.118250, batch loss=0.007731, epoch loss=0.136609 Batch=539, step=19740, lr=0.118000, batch loss=0.016957, epoch loss=0.153566 Batch=599, step=19800, lr=0.117750, batch loss=0.023529, epoch loss=0.177095 Batch=659, step=19860, lr=0.117500, batch loss=0.019223, epoch loss=0.196318 Batch=719, step=19920, lr=0.117250, batch loss=0.044885, epoch loss=0.241204 Batch=779, step=19980, lr=0.117000, batch loss=0.080679, epoch loss=0.321883 Batch=839, step=20040, lr=0.116750, batch loss=0.031711, epoch loss=0.353594 Batch=899, step=20100, lr=0.116500, batch loss=0.029415, epoch loss=0.383009 Batch=959, step=20160, lr=0.116250, batch loss=0.013245, epoch loss=0.396253 Batch=1019, step=20220, lr=0.116000, batch loss=0.015783, epoch loss=0.412036 Batch=1079, step=20280, lr=0.115750, batch loss=0.001682, epoch loss=0.413718 Batch=1139, step=20340, lr=0.115500, batch loss=0.014891, epoch loss=0.428609 Batch=1199, step=20400, lr=0.115250, batch loss=0.005518, epoch loss=0.434127 Epoch=16, step=20400, lr=0.115250, epoch loss=0.434127 Batch=59, step=20460, lr=0.115000, batch loss=0.002981, epoch loss=0.002981 Batch=119, step=20520, lr=0.114750, batch loss=0.010076, epoch loss=0.013057 Batch=179, step=20580, lr=0.114500, batch loss=0.026225, epoch loss=0.039283 Batch=239, step=20640, lr=0.114250, batch loss=0.014336, epoch loss=0.053619 Batch=299, step=20700, lr=0.114000, batch loss=0.002830, epoch loss=0.056449 Batch=359, step=20760, lr=0.113750, batch loss=0.014790, epoch loss=0.071239 Batch=419, step=20820, lr=0.113500, batch loss=0.015004, epoch loss=0.086244 Batch=479, step=20880, lr=0.113250, batch loss=0.004223, epoch loss=0.090467 Batch=539, step=20940, lr=0.113000, batch loss=0.017486, epoch loss=0.107954 Batch=599, step=21000, lr=0.112750, batch loss=0.018437, epoch loss=0.126391 Batch=659, step=21060, lr=0.112500, batch loss=0.015534, epoch loss=0.141925 Batch=719, step=21120, lr=0.112250, batch loss=0.039029, epoch loss=0.180954 Batch=779, step=21180, lr=0.112000, batch loss=0.073559, epoch loss=0.254513 Batch=839, step=21240, lr=0.111750, batch loss=0.026129, epoch loss=0.280642 Batch=899, step=21300, lr=0.111500, batch loss=0.035687, epoch loss=0.316330 Batch=959, step=21360, lr=0.111250, batch loss=0.010113, epoch loss=0.326442 Batch=1019, step=21420, lr=0.111000, batch loss=0.011603, epoch loss=0.338045 Batch=1079, step=21480, lr=0.110750, batch loss=0.000550, epoch loss=0.338595 Batch=1139, step=21540, lr=0.110500, batch loss=0.012443, epoch loss=0.351038 Batch=1199, step=21600, lr=0.110250, batch loss=0.005079, epoch loss=0.356117 Epoch=17, step=21600, lr=0.110250, epoch loss=0.356117 Batch=59, step=21660, lr=0.110000, batch loss=0.002176, epoch loss=0.002176 Batch=119, step=21720, lr=0.109750, batch loss=0.006589, epoch loss=0.008765 Batch=179, step=21780, lr=0.109500, batch loss=0.012903, epoch loss=0.021668 Batch=239, step=21840, lr=0.109250, batch loss=0.009464, epoch loss=0.031132 Batch=299, step=21900, lr=0.109000, batch loss=0.003447, epoch loss=0.034580 Batch=359, step=21960, lr=0.108750, batch loss=0.014945, epoch loss=0.049525 Batch=419, step=22020, lr=0.108500, batch loss=0.011908, epoch loss=0.061433 Batch=479, step=22080, lr=0.108250, batch loss=0.002848, epoch loss=0.064281 Batch=539, step=22140, lr=0.108000, batch loss=0.019294, epoch loss=0.083575 Batch=599, step=22200, lr=0.107750, batch loss=0.016734, epoch loss=0.100310 Batch=659, step=22260, lr=0.107500, batch loss=0.015131, epoch loss=0.115440 Batch=719, step=22320, lr=0.107250, batch loss=0.024583, epoch loss=0.140023 Batch=779, step=22380, lr=0.107000, batch loss=0.042009, epoch loss=0.182032 Batch=839, step=22440, lr=0.106750, batch loss=0.022135, epoch loss=0.204167 Batch=899, step=22500, lr=0.106500, batch loss=0.022163, epoch loss=0.226330 Batch=959, step=22560, lr=0.106250, batch loss=0.010741, epoch loss=0.237071 Batch=1019, step=22620, lr=0.106000, batch loss=0.009772, epoch loss=0.246843 Batch=1079, step=22680, lr=0.105750, batch loss=0.000736, epoch loss=0.247579 Batch=1139, step=22740, lr=0.105500, batch loss=0.011477, epoch loss=0.259056 Batch=1199, step=22800, lr=0.105250, batch loss=0.004374, epoch loss=0.263430 Epoch=18, step=22800, lr=0.105250, epoch loss=0.263430 Batch=59, step=22860, lr=0.105000, batch loss=0.001390, epoch loss=0.001390 Batch=119, step=22920, lr=0.104750, batch loss=0.005779, epoch loss=0.007169 Batch=179, step=22980, lr=0.104500, batch loss=0.010914, epoch loss=0.018083 Batch=239, step=23040, lr=0.104250, batch loss=0.009233, epoch loss=0.027316 Batch=299, step=23100, lr=0.104000, batch loss=0.009089, epoch loss=0.036405 Batch=359, step=23160, lr=0.103750, batch loss=0.012377, epoch loss=0.048782 Batch=419, step=23220, lr=0.103500, batch loss=0.010904, epoch loss=0.059686 Batch=479, step=23280, lr=0.103250, batch loss=0.002476, epoch loss=0.062162 Batch=539, step=23340, lr=0.103000, batch loss=0.016882, epoch loss=0.079045 Batch=599, step=23400, lr=0.102750, batch loss=0.014134, epoch loss=0.093178 Batch=659, step=23460, lr=0.102500, batch loss=0.010605, epoch loss=0.103783 Batch=719, step=23520, lr=0.102250, batch loss=0.014046, epoch loss=0.117829 Batch=779, step=23580, lr=0.102000, batch loss=0.022247, epoch loss=0.140076 Batch=839, step=23640, lr=0.101750, batch loss=0.028409, epoch loss=0.168485 Batch=899, step=23700, lr=0.101500, batch loss=0.021947, epoch loss=0.190432 Batch=959, step=23760, lr=0.101250, batch loss=0.010036, epoch loss=0.200469 Batch=1019, step=23820, lr=0.101000, batch loss=0.007406, epoch loss=0.207874 Batch=1079, step=23880, lr=0.100750, batch loss=0.000981, epoch loss=0.208855 Batch=1139, step=23940, lr=0.100500, batch loss=0.008879, epoch loss=0.217734 Batch=1199, step=24000, lr=0.100250, batch loss=0.004753, epoch loss=0.222487 Epoch=19, step=24000, lr=0.100250, epoch loss=0.222487 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-07 20:44.18 ---> saved as "a41e68d4ab91675f7c8ae949039abd0ff71d7e5bdc1afac39b77b9e6711242c7" Job succeeded 2025-04-07 20:44.19: Job succeeded