2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (linux-x86_64:debian-12-5.3_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard ccaf459c cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51 # debian-12-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51-debian-12-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 21:04.47: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) (comment debian-12-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:15.21: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) 2025-03-20 21:17.11 ---> saved as "4c4507dc2c915bc2fe880d11485a066845ce2ccaf87ae0c7a8ec26d34c0670c5" /: (comment debian-12-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 21:17.11 ---> saved as "172407e1e661134309aea2eb4045783b25179cce1174e2b787c71a0e229d6f99" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 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 <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 21:18.27 ---> saved as "09dad00ef8e83b2a63e7fe35b5cddf78fe4785748596ca052e2c9a3bfcd80b21" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 21:18.27 ---> saved as "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:18.27 ---> saved as "a6d2d725d9ab586b26e2389e81730115d2ead44f3f6db0f5c35ba85c11f7e8a2" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:19.25 ---> saved as "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:19.27 ---> saved as "55b8a186f7a7e77febcc0889f481a9c4b8be0c7191d53281121d78ef733b6ee6" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 21:19.30 ---> saved as "9507a0af8ff6f3ef3a34da31b485a5849b0212c1002a29988a42f08493b902bc" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:19.30 ---> saved as "bd2c6f13d320852a12f09e2cc69fb0fcaae24227a75acc4a5da2016becbcbd77" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://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-security bookworm-security/main amd64 Packages [249 kB] - Fetched 9296 kB in 2s (5648 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 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) ... 2025-03-20 21:19.53 ---> saved as "ade82b1c1d358a121a2f7feec800627f7953ed24cd9173c7b7f57e46661825be" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:24.06 ---> saved as "640cfa0ea8fc3d21e3ffc8de32c46e4abd4fe6b886f8f1fd53c088465e1a3fa1" /src: (copy (src .) (dst /src)) 2025-03-20 21:24.06 ---> saved as "c02235ae04fb558259270b0baf127e09873f1469850356e52206501c5d72783d" /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/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ad42805ae5047f3244b63b573745312a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af1bc50dcbd65ce7182b51973a3676dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173500, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265227, epoch loss=1.664013 Batch=479, step=6480, lr=0.173250, batch loss=0.243382, epoch loss=1.907395 Batch=539, step=6540, lr=0.173000, batch loss=0.192886, epoch loss=2.100281 Batch=599, step=6600, lr=0.172750, batch loss=0.234579, epoch loss=2.334860 Batch=659, step=6660, lr=0.172500, batch loss=0.312080, epoch loss=2.646941 Batch=719, step=6720, lr=0.172250, batch loss=0.314271, epoch loss=2.961212 Batch=779, step=6780, lr=0.171750, batch loss=0.333166, epoch loss=3.294379 Batch=839, step=6840, lr=0.171750, batch loss=0.303772, epoch loss=3.598151 Batch=899, step=6900, lr=0.171500, batch loss=0.268455, epoch loss=3.866606 Batch=959, step=6960, lr=0.171250, batch loss=0.211064, epoch loss=4.077670 Batch=1019, step=7020, lr=0.171000, batch loss=0.330431, epoch loss=4.408102 Batch=1079, step=7080, lr=0.170750, batch loss=0.180883, epoch loss=4.588984 Batch=1139, step=7140, lr=0.170500, batch loss=0.216305, epoch loss=4.805289 Batch=1199, step=7200, lr=0.170250, batch loss=0.181903, epoch loss=4.987193 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987193 Batch=59, step=7260, lr=0.170000, batch loss=0.232900, epoch loss=0.232900 Batch=119, step=7320, lr=0.169750, batch loss=0.184410, epoch loss=0.417310 Batch=179, step=7380, lr=0.169250, batch loss=0.196293, epoch loss=0.613603 Batch=239, step=7440, lr=0.169250, batch loss=0.290836, epoch loss=0.904439 Batch=299, step=7500, lr=0.169000, batch loss=0.200823, epoch loss=1.105262 Batch=359, step=7560, lr=0.168750, batch loss=0.258448, epoch loss=1.363710 Batch=419, step=7620, lr=0.168500, batch loss=0.256807, epoch loss=1.620517 Batch=479, step=7680, lr=0.168250, batch loss=0.236000, epoch loss=1.856517 Batch=539, step=7740, lr=0.168000, batch loss=0.187887, epoch loss=2.044405 Batch=599, step=7800, lr=0.167750, batch loss=0.223927, epoch loss=2.268332 Batch=659, step=7860, lr=0.167500, batch loss=0.305922, epoch loss=2.574254 Batch=719, step=7920, lr=0.167250, batch loss=0.309309, epoch loss=2.883563 Batch=779, step=7980, lr=0.167000, batch loss=0.329943, epoch loss=3.213506 Batch=839, step=8040, lr=0.166750, batch loss=0.292436, epoch loss=3.505942 Batch=899, step=8100, lr=0.166500, batch loss=0.261774, epoch loss=3.767717 Batch=959, step=8160, lr=0.166250, batch loss=0.193304, epoch loss=3.961021 Batch=1019, step=8220, lr=0.166000, batch loss=0.314024, epoch loss=4.275044 Batch=1079, step=8280, lr=0.165750, batch loss=0.172100, epoch loss=4.447145 Batch=1139, step=8340, lr=0.165500, batch loss=0.209740, epoch loss=4.656884 Batch=1199, step=8400, lr=0.165250, batch loss=0.178270, epoch loss=4.835155 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835155 Batch=59, step=8460, lr=0.165000, batch loss=0.229735, epoch loss=0.229735 Batch=119, step=8520, lr=0.164750, batch loss=0.175014, epoch loss=0.404749 Batch=179, step=8580, lr=0.164500, batch loss=0.187821, epoch loss=0.592570 Batch=239, step=8640, lr=0.164250, batch loss=0.278217, epoch loss=0.870787 Batch=299, step=8700, lr=0.164000, batch loss=0.191979, epoch loss=1.062766 Batch=359, step=8760, lr=0.163750, batch loss=0.248647, epoch loss=1.311413 Batch=419, step=8820, lr=0.163500, batch loss=0.245598, epoch loss=1.557011 Batch=479, step=8880, lr=0.163250, batch loss=0.228597, epoch loss=1.785608 Batch=539, step=8940, lr=0.163000, batch loss=0.178122, epoch loss=1.963730 Batch=599, step=9000, lr=0.162750, batch loss=0.217396, epoch loss=2.181126 Batch=659, step=9060, lr=0.162500, batch loss=0.294819, epoch loss=2.475944 Batch=719, step=9120, lr=0.162250, batch loss=0.296457, epoch loss=2.772402 Batch=779, step=9180, lr=0.162000, batch loss=0.316725, epoch loss=3.089127 Batch=839, step=9240, lr=0.161750, batch loss=0.287258, epoch loss=3.376386 Batch=899, step=9300, lr=0.161500, batch loss=0.251056, epoch loss=3.627442 Batch=959, step=9360, lr=0.161250, batch loss=0.190551, epoch loss=3.817993 Batch=1019, step=9420, lr=0.161000, batch loss=0.311708, epoch loss=4.129701 Batch=1079, step=9480, lr=0.160750, batch loss=0.191610, epoch loss=4.321310 Batch=1139, step=9540, lr=0.160500, batch loss=0.215760, epoch loss=4.537071 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702690 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702690 Batch=59, step=9660, lr=0.160000, batch loss=0.197231, epoch loss=0.197231 Batch=119, step=9720, lr=0.159750, batch loss=0.165461, epoch loss=0.362692 Batch=179, step=9780, lr=0.159500, batch loss=0.179293, epoch loss=0.541985 Batch=239, step=9840, lr=0.159250, batch loss=0.263132, epoch loss=0.805117 Batch=299, step=9900, lr=0.159000, batch loss=0.183178, epoch loss=0.988295 Batch=359, step=9960, lr=0.158750, batch loss=0.239904, epoch loss=1.228199 Batch=419, step=10020, lr=0.158500, batch loss=0.232908, epoch loss=1.461106 Batch=479, step=10080, lr=0.158250, batch loss=0.213219, epoch loss=1.674326 Batch=539, step=10140, lr=0.158000, batch loss=0.170463, epoch loss=1.844789 Batch=599, step=10200, lr=0.157750, batch loss=0.200275, epoch loss=2.045064 Batch=659, step=10260, lr=0.157500, batch loss=0.283046, epoch loss=2.328109 Batch=719, step=10320, lr=0.157250, batch loss=0.279843, epoch loss=2.607952 Batch=779, step=10380, lr=0.157000, batch loss=0.300708, epoch loss=2.908660 Batch=839, step=10440, lr=0.156750, batch loss=0.271091, epoch loss=3.179751 Batch=899, step=10500, lr=0.156500, batch loss=0.239708, epoch loss=3.419459 Batch=959, step=10560, lr=0.156250, batch loss=0.198255, epoch loss=3.617714 Batch=1019, step=10620, lr=0.156000, batch loss=0.293555, epoch loss=3.911269 Batch=1079, step=10680, lr=0.155750, batch loss=0.179972, epoch loss=4.091240 Batch=1139, step=10740, lr=0.155500, batch loss=0.203651, epoch loss=4.294892 Batch=1199, step=10800, lr=0.155250, batch loss=0.154566, epoch loss=4.449458 Epoch=8, step=10800, lr=0.155250, epoch loss=4.449458 Batch=59, step=10860, lr=0.155000, batch loss=0.176599, epoch loss=0.176599 Batch=119, step=10920, lr=0.154750, batch loss=0.147025, epoch loss=0.323624 Batch=179, step=10980, lr=0.154500, batch loss=0.166380, epoch loss=0.490004 Batch=239, step=11040, lr=0.154250, batch loss=0.242129, epoch loss=0.732133 Batch=299, step=11100, lr=0.154000, batch loss=0.168865, epoch loss=0.900999 Batch=359, step=11160, lr=0.153750, batch loss=0.223355, epoch loss=1.124353 Batch=419, step=11220, lr=0.153500, batch loss=0.230590, epoch loss=1.354943 Batch=479, step=11280, lr=0.153250, batch loss=0.201376, epoch loss=1.556319 Batch=539, step=11340, lr=0.153000, batch loss=0.161211, epoch loss=1.717530 Batch=599, step=11400, lr=0.152750, batch loss=0.182280, epoch loss=1.899810 Batch=659, step=11460, lr=0.152500, batch loss=0.263036, epoch loss=2.162847 Batch=719, step=11520, lr=0.152250, batch loss=0.257007, epoch loss=2.419854 Batch=779, step=11580, lr=0.152000, batch loss=0.271830, epoch loss=2.691684 Batch=839, step=11640, lr=0.151750, batch loss=0.255970, epoch loss=2.947654 Batch=899, step=11700, lr=0.151500, batch loss=0.212137, epoch loss=3.159791 Batch=959, step=11760, lr=0.151250, batch loss=0.170609, epoch loss=3.330399 Batch=1019, step=11820, lr=0.151000, batch loss=0.263582, epoch loss=3.593981 Batch=1079, step=11880, lr=0.150750, batch loss=0.153055, epoch loss=3.747036 Batch=1139, step=11940, lr=0.150500, batch loss=0.183753, epoch loss=3.930789 Batch=1199, step=12000, lr=0.150250, batch loss=0.139670, epoch loss=4.070458 Epoch=9, step=12000, lr=0.150250, epoch loss=4.070458 Batch=59, step=12060, lr=0.150000, batch loss=0.158823, epoch loss=0.158823 Batch=119, step=12120, lr=0.149750, batch loss=0.128092, epoch loss=0.286915 Batch=179, step=12180, lr=0.149500, batch loss=0.152111, epoch loss=0.439026 Batch=239, step=12240, lr=0.149250, batch loss=0.221591, epoch loss=0.660617 Batch=299, step=12300, lr=0.149000, batch loss=0.143935, epoch loss=0.804552 Batch=359, step=12360, lr=0.148750, batch loss=0.196199, epoch loss=1.000751 Batch=419, step=12420, lr=0.148500, batch loss=0.205629, epoch loss=1.206380 Batch=479, step=12480, lr=0.148250, batch loss=0.179299, epoch loss=1.385679 Batch=539, step=12540, lr=0.148000, batch loss=0.142041, epoch loss=1.527720 Batch=599, step=12600, lr=0.147750, batch loss=0.150737, epoch loss=1.678456 Batch=659, step=12660, lr=0.147500, batch loss=0.223708, epoch loss=1.902165 Batch=719, step=12720, lr=0.147250, batch loss=0.235131, epoch loss=2.137295 Batch=779, step=12780, lr=0.147000, batch loss=0.251562, epoch loss=2.388857 Batch=839, step=12840, lr=0.146750, batch loss=0.224362, epoch loss=2.613218 Batch=899, step=12900, lr=0.146500, batch loss=0.193472, epoch loss=2.806691 Batch=959, step=12960, lr=0.146250, batch loss=0.159952, epoch loss=2.966642 Batch=1019, step=13020, lr=0.146000, batch loss=0.260489, epoch loss=3.227132 Batch=1079, step=13080, lr=0.145750, batch loss=0.117183, epoch loss=3.344314 Batch=1139, step=13140, lr=0.145500, batch loss=0.160378, epoch loss=3.504693 Batch=1199, step=13200, lr=0.145250, batch loss=0.119237, epoch loss=3.623930 Epoch=10, step=13200, lr=0.145250, epoch loss=3.623930 Batch=59, step=13260, lr=0.145000, batch loss=0.140064, epoch loss=0.140064 Batch=119, step=13320, lr=0.144750, batch loss=0.122141, epoch loss=0.262205 Batch=179, step=13380, lr=0.144500, batch loss=0.128090, epoch loss=0.390295 Batch=239, step=13440, lr=0.144250, batch loss=0.191929, epoch loss=0.582224 Batch=299, step=13500, lr=0.144000, batch loss=0.116674, epoch loss=0.698898 Batch=359, step=13560, lr=0.143750, batch loss=0.163496, epoch loss=0.862394 Batch=419, step=13620, lr=0.143500, batch loss=0.166364, epoch loss=1.028758 Batch=479, step=13680, lr=0.143250, batch loss=0.149387, epoch loss=1.178145 Batch=539, step=13740, lr=0.143000, batch loss=0.116095, epoch loss=1.294239 Batch=599, step=13800, lr=0.142750, batch loss=0.119986, epoch loss=1.414225 Batch=659, step=13860, lr=0.142500, batch loss=0.177699, epoch loss=1.591924 Batch=719, step=13920, lr=0.142250, batch loss=0.172738, epoch loss=1.764662 Batch=779, step=13980, lr=0.142000, batch loss=0.179599, epoch loss=1.944261 Batch=839, step=14040, lr=0.141750, batch loss=0.198547, epoch loss=2.142807 Batch=899, step=14100, lr=0.141500, batch loss=0.216556, epoch loss=2.359363 Batch=959, step=14160, lr=0.141250, batch loss=0.105124, epoch loss=2.464487 Batch=1019, step=14220, lr=0.141000, batch loss=0.193033, epoch loss=2.657520 Batch=1079, step=14280, lr=0.140750, batch loss=0.083964, epoch loss=2.741484 Batch=1139, step=14340, lr=0.140500, batch loss=0.138072, epoch loss=2.879556 Batch=1199, step=14400, lr=0.140250, batch loss=0.087929, epoch loss=2.967485 Epoch=11, step=14400, lr=0.140250, epoch loss=2.967485 Batch=59, step=14460, lr=0.140000, batch loss=0.102491, epoch loss=0.102491 Batch=119, step=14520, lr=0.139750, batch loss=0.099058, epoch loss=0.201549 Batch=179, step=14580, lr=0.139500, batch loss=0.099729, epoch loss=0.301277 Batch=239, step=14640, lr=0.139250, batch loss=0.142610, epoch loss=0.443888 Batch=299, step=14700, lr=0.139000, batch loss=0.073521, epoch loss=0.517409 Batch=359, step=14760, lr=0.138750, batch loss=0.122865, epoch loss=0.640274 Batch=419, step=14820, lr=0.138500, batch loss=0.131933, epoch loss=0.772208 Batch=479, step=14880, lr=0.138250, batch loss=0.098293, epoch loss=0.870500 Batch=539, step=14940, lr=0.138000, batch loss=0.101293, epoch loss=0.971793 Batch=599, step=15000, lr=0.137750, batch loss=0.083353, epoch loss=1.055146 Batch=659, step=15060, lr=0.137500, batch loss=0.127513, epoch loss=1.182659 Batch=719, step=15120, lr=0.137250, batch loss=0.132577, epoch loss=1.315237 Batch=779, step=15180, lr=0.137000, batch loss=0.180426, epoch loss=1.495663 Batch=839, step=15240, lr=0.136750, batch loss=0.186210, epoch loss=1.681873 Batch=899, step=15300, lr=0.136500, batch loss=0.303908, epoch loss=1.985781 Batch=959, step=15360, lr=0.136250, batch loss=0.055065, epoch loss=2.040845 Batch=1019, step=15420, lr=0.135750, batch loss=0.120277, epoch loss=2.161122 Batch=1079, step=15480, lr=0.135750, batch loss=0.059095, epoch loss=2.220217 Batch=1139, step=15540, lr=0.135500, batch loss=0.100522, epoch loss=2.320739 Batch=1199, step=15600, lr=0.135250, batch loss=0.064038, epoch loss=2.384776 Epoch=12, step=15600, lr=0.135250, epoch loss=2.384776 Batch=59, step=15660, lr=0.134750, batch loss=0.077835, epoch loss=0.077835 Batch=119, step=15720, lr=0.134750, batch loss=0.099864, epoch loss=0.177700 Batch=179, step=15780, lr=0.134500, batch loss=0.088961, epoch loss=0.266661 Batch=239, step=15840, lr=0.134250, batch loss=0.093291, epoch loss=0.359953 Batch=299, step=15900, lr=0.134000, batch loss=0.040035, epoch loss=0.399988 Batch=359, step=15960, lr=0.133750, batch loss=0.078171, epoch loss=0.478159 Batch=419, step=16020, lr=0.133500, batch loss=0.079237, epoch loss=0.557396 Batch=479, step=16080, lr=0.133250, batch loss=0.068866, epoch loss=0.626263 Batch=539, step=16140, lr=0.133000, batch loss=0.052120, epoch loss=0.678383 Batch=599, step=16200, lr=0.132750, batch loss=0.103562, epoch loss=0.781944 Batch=659, step=16260, lr=0.132500, batch loss=0.078226, epoch loss=0.860170 Batch=719, step=16320, lr=0.132250, batch loss=0.087954, epoch loss=0.948124 Batch=779, step=16380, lr=0.132000, batch loss=0.111958, epoch loss=1.060081 Batch=839, step=16440, lr=0.131750, batch loss=0.112778, epoch loss=1.172859 Batch=899, step=16500, lr=0.131250, batch loss=0.134415, epoch loss=1.307274 Batch=959, step=16560, lr=0.131250, batch loss=0.051340, epoch loss=1.358614 Batch=1019, step=16620, lr=0.131000, batch loss=0.132414, epoch loss=1.491028 Batch=1079, step=16680, lr=0.130750, batch loss=0.020471, epoch loss=1.511499 Batch=1139, step=16740, lr=0.130500, batch loss=0.045254, epoch loss=1.556754 Batch=1199, step=16800, lr=0.130000, batch loss=0.028095, epoch loss=1.584848 Epoch=13, step=16800, lr=0.130000, epoch loss=1.584848 Batch=59, step=16860, lr=0.130000, batch loss=0.043499, epoch loss=0.043499 Batch=119, step=16920, lr=0.129750, batch loss=0.083024, epoch loss=0.126523 Batch=179, step=16980, lr=0.129250, batch loss=0.059651, epoch loss=0.186175 Batch=239, step=17040, lr=0.129000, batch loss=0.060615, epoch loss=0.246789 Batch=299, step=17100, lr=0.128750, batch loss=0.018248, epoch loss=0.265037 Batch=359, step=17160, lr=0.128750, batch loss=0.045877, epoch loss=0.310914 Batch=419, step=17220, lr=0.128500, batch loss=0.046536, epoch loss=0.357450 Batch=479, step=17280, lr=0.128000, batch loss=0.029130, epoch loss=0.386580 Batch=539, step=17340, lr=0.128000, batch loss=0.056408, epoch loss=0.442988 Batch=599, step=17400, lr=0.127500, batch loss=0.033783, epoch loss=0.476771 Batch=659, step=17460, lr=0.127500, batch loss=0.046341, epoch loss=0.523112 Batch=719, step=17520, lr=0.127250, batch loss=0.049061, epoch loss=0.572173 Batch=779, step=17580, lr=0.127000, batch loss=0.108417, epoch loss=0.680589 Batch=839, step=17640, lr=0.126750, batch loss=0.104514, epoch loss=0.785104 Batch=899, step=17700, lr=0.126500, batch loss=0.147316, epoch loss=0.932420 Batch=959, step=17760, lr=0.126250, batch loss=0.019444, epoch loss=0.951864 Batch=1019, step=17820, lr=0.126000, batch loss=0.035695, epoch loss=0.987559 Batch=1079, step=17880, lr=0.125750, batch loss=0.011044, epoch loss=0.998603 Batch=1139, step=17940, lr=0.125500, batch loss=0.028910, epoch loss=1.027513 Batch=1199, step=18000, lr=0.125000, batch loss=0.013828, epoch loss=1.041341 Epoch=14, step=18000, lr=0.125000, epoch loss=1.041341 Batch=59, step=18060, lr=0.125000, batch loss=0.011254, epoch loss=0.011254 Batch=119, step=18120, lr=0.124750, batch loss=0.017910, epoch loss=0.029164 Batch=179, step=18180, lr=0.124500, batch loss=0.029343, epoch loss=0.058506 Batch=239, step=18240, lr=0.124250, batch loss=0.036268, epoch loss=0.094774 Batch=299, step=18300, lr=0.124000, batch loss=0.019108, epoch loss=0.113882 Batch=359, step=18360, lr=0.123750, batch loss=0.022965, epoch loss=0.136847 Batch=419, step=18420, lr=0.123500, batch loss=0.030675, epoch loss=0.167522 Batch=479, step=18480, lr=0.123250, batch loss=0.023373, epoch loss=0.190895 Batch=539, step=18540, lr=0.123000, batch loss=0.045973, epoch loss=0.236868 Batch=599, step=18600, lr=0.122750, batch loss=0.025508, epoch loss=0.262376 Batch=659, step=18660, lr=0.122500, batch loss=0.034471, epoch loss=0.296847 Batch=719, step=18720, lr=0.122250, batch loss=0.033947, epoch loss=0.330794 Batch=779, step=18780, lr=0.122000, batch loss=0.081335, epoch loss=0.412129 Batch=839, step=18840, lr=0.121750, batch loss=0.052513, epoch loss=0.464642 Batch=899, step=18900, lr=0.121250, batch loss=0.049394, epoch loss=0.514036 Batch=959, step=18960, lr=0.121250, batch loss=0.013552, epoch loss=0.527588 Batch=1019, step=19020, lr=0.121000, batch loss=0.024054, epoch loss=0.551643 Batch=1079, step=19080, lr=0.120750, batch loss=0.012557, epoch loss=0.564199 Batch=1139, step=19140, lr=0.120500, batch loss=0.022686, epoch loss=0.586885 Batch=1199, step=19200, lr=0.120250, batch loss=0.008904, epoch loss=0.595789 Epoch=15, step=19200, lr=0.120250, epoch loss=0.595789 Batch=59, step=19260, lr=0.120000, batch loss=0.004662, epoch loss=0.004662 Batch=119, step=19320, lr=0.119750, batch loss=0.022934, epoch loss=0.027597 Batch=179, step=19380, lr=0.119500, batch loss=0.070330, epoch loss=0.097927 Batch=239, step=19440, lr=0.119250, batch loss=0.027694, epoch loss=0.125621 Batch=299, step=19500, lr=0.119000, batch loss=0.011868, epoch loss=0.137490 Batch=359, step=19560, lr=0.118750, batch loss=0.022637, epoch loss=0.160126 Batch=419, step=19620, lr=0.118500, batch loss=0.019814, epoch loss=0.179940 Batch=479, step=19680, lr=0.118250, batch loss=0.007190, epoch loss=0.187131 Batch=539, step=19740, lr=0.118000, batch loss=0.018122, epoch loss=0.205253 Batch=599, step=19800, lr=0.117750, batch loss=0.021961, epoch loss=0.227214 Batch=659, step=19860, lr=0.117500, batch loss=0.016894, epoch loss=0.244108 Batch=719, step=19920, lr=0.117250, batch loss=0.031591, epoch loss=0.275698 Batch=779, step=19980, lr=0.117000, batch loss=0.064989, epoch loss=0.340688 Batch=839, step=20040, lr=0.116750, batch loss=0.031489, epoch loss=0.372177 Batch=899, step=20100, lr=0.116250, batch loss=0.030451, epoch loss=0.402628 Batch=959, step=20160, lr=0.116250, batch loss=0.016678, epoch loss=0.419306 Batch=1019, step=20220, lr=0.116000, batch loss=0.017652, epoch loss=0.436958 Batch=1079, step=20280, lr=0.115750, batch loss=0.002652, epoch loss=0.439609 Batch=1139, step=20340, lr=0.115250, batch loss=0.015475, epoch loss=0.455084 Batch=1199, step=20400, lr=0.115250, batch loss=0.005834, epoch loss=0.460919 Epoch=16, step=20400, lr=0.115250, epoch loss=0.460919 Batch=59, step=20460, lr=0.115000, batch loss=0.002784, epoch loss=0.002784 Batch=119, step=20520, lr=0.114750, batch loss=0.012487, epoch loss=0.015271 Batch=179, step=20580, lr=0.114250, batch loss=0.027613, epoch loss=0.042884 Batch=239, step=20640, lr=0.114250, batch loss=0.014220, epoch loss=0.057103 Batch=299, step=20700, lr=0.114000, batch loss=0.006409, epoch loss=0.063512 Batch=359, step=20760, lr=0.113750, batch loss=0.021525, epoch loss=0.085037 Batch=419, step=20820, lr=0.113500, batch loss=0.016336, epoch loss=0.101373 Batch=479, step=20880, lr=0.113250, batch loss=0.004300, epoch loss=0.105673 Batch=539, step=20940, lr=0.113000, batch loss=0.016129, epoch loss=0.121802 Batch=599, step=21000, lr=0.112750, batch loss=0.019138, epoch loss=0.140940 Batch=659, step=21060, lr=0.112500, batch loss=0.016758, epoch loss=0.157698 Batch=719, step=21120, lr=0.112250, batch loss=0.047135, epoch loss=0.204833 Batch=779, step=21180, lr=0.112000, batch loss=0.065731, epoch loss=0.270565 Batch=839, step=21240, lr=0.111750, batch loss=0.025567, epoch loss=0.296132 Batch=899, step=21300, lr=0.111500, batch loss=0.031016, epoch loss=0.327148 Batch=959, step=21360, lr=0.111000, batch loss=0.010705, epoch loss=0.337853 Batch=1019, step=21420, lr=0.111000, batch loss=0.013321, epoch loss=0.351174 Batch=1079, step=21480, lr=0.110750, batch loss=0.001346, epoch loss=0.352520 Batch=1139, step=21540, lr=0.110500, batch loss=0.013127, epoch loss=0.365647 Batch=1199, step=21600, lr=0.110250, batch loss=0.005022, epoch loss=0.370669 Epoch=17, step=21600, lr=0.110250, epoch loss=0.370669 Batch=59, step=21660, lr=0.110000, batch loss=0.001721, epoch loss=0.001721 Batch=119, step=21720, lr=0.109750, batch loss=0.007482, epoch loss=0.009203 Batch=179, step=21780, lr=0.109500, batch loss=0.012635, epoch loss=0.021838 Batch=239, step=21840, lr=0.109250, batch loss=0.011378, epoch loss=0.033216 Batch=299, step=21900, lr=0.109000, batch loss=0.009747, epoch loss=0.042962 Batch=359, step=21960, lr=0.108750, batch loss=0.014520, epoch loss=0.057483 Batch=419, step=22020, lr=0.108500, batch loss=0.013287, epoch loss=0.070770 Batch=479, step=22080, lr=0.108250, batch loss=0.002693, epoch loss=0.073463 Batch=539, step=22140, lr=0.108000, batch loss=0.015892, epoch loss=0.089355 Batch=599, step=22200, lr=0.107750, batch loss=0.016396, epoch loss=0.105751 Batch=659, step=22260, lr=0.107500, batch loss=0.014244, epoch loss=0.119995 Batch=719, step=22320, lr=0.107250, batch loss=0.027582, epoch loss=0.147578 Batch=779, step=22380, lr=0.107000, batch loss=0.041957, epoch loss=0.189534 Batch=839, step=22440, lr=0.106500, batch loss=0.021968, epoch loss=0.211503 Batch=899, step=22500, lr=0.106500, batch loss=0.022729, epoch loss=0.234231 Batch=959, step=22560, lr=0.106250, batch loss=0.010247, epoch loss=0.244478 Batch=1019, step=22620, lr=0.106000, batch loss=0.009848, epoch loss=0.254326 Batch=1079, step=22680, lr=0.105500, batch loss=0.000783, epoch loss=0.255109 Batch=1139, step=22740, lr=0.105500, batch loss=0.011484, epoch loss=0.266593 Batch=1199, step=22800, lr=0.105000, batch loss=0.004669, epoch loss=0.271262 Epoch=18, step=22800, lr=0.105000, epoch loss=0.271262 Batch=59, step=22860, lr=0.104750, batch loss=0.001540, epoch loss=0.001540 Batch=119, step=22920, lr=0.104750, batch loss=0.005560, epoch loss=0.007100 Batch=179, step=22980, lr=0.104500, batch loss=0.010704, epoch loss=0.017804 Batch=239, step=23040, lr=0.104000, batch loss=0.010367, epoch loss=0.028171 Batch=299, step=23100, lr=0.104000, batch loss=0.009839, epoch loss=0.038011 Batch=359, step=23160, lr=0.103500, batch loss=0.011869, epoch loss=0.049879 Batch=419, step=23220, lr=0.103500, batch loss=0.011219, epoch loss=0.061098 Batch=479, step=23280, lr=0.103250, batch loss=0.003259, epoch loss=0.064357 Batch=539, step=23340, lr=0.103000, batch loss=0.014973, epoch loss=0.079330 Batch=599, step=23400, lr=0.102750, batch loss=0.014485, epoch loss=0.093815 Batch=659, step=23460, lr=0.102250, batch loss=0.011491, epoch loss=0.105306 Batch=719, step=23520, lr=0.102250, batch loss=0.011534, epoch loss=0.116840 Batch=779, step=23580, lr=0.101750, batch loss=0.019066, epoch loss=0.135906 Batch=839, step=23640, lr=0.101750, batch loss=0.028009, epoch loss=0.163916 Batch=899, step=23700, lr=0.101500, batch loss=0.021489, epoch loss=0.185405 Batch=959, step=23760, lr=0.101250, batch loss=0.011116, epoch loss=0.196521 Batch=1019, step=23820, lr=0.100750, batch loss=0.009763, epoch loss=0.206284 Batch=1079, step=23880, lr=0.100750, batch loss=0.000086, epoch loss=0.206370 Batch=1139, step=23940, lr=0.100250, batch loss=0.008986, epoch loss=0.215357 Batch=1199, step=24000, lr=0.100250, batch loss=0.004593, epoch loss=0.219949 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219949 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:24.48 ---> saved as "9076dc1c60496081194522fe77438ff1cd8e22297d96df33656e15ade837ac61" Job succeeded 2025-03-20 21:24.50: Job succeeded