2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (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 8b6a6fac 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 2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51-debian-12-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: 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")) ) 2025-03-21 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:49.15: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) 2025-03-21 14:49.36 ---> 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")) 2025-03-21 14:49.36 ---> 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 [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 2025-03-21 14:50.57 ---> 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 2025-03-21 14:50.57 ---> saved as "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:50.57 ---> 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..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:52.11 ---> saved as "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:52.12 ---> saved as "58a53e2a3dd4d132e7b94535201b52d935bf6e768ec6163b1f46501d34443546" /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) 2025-03-21 14:52.17 ---> saved as "cb89076554ba8957a03621180f60934d6cf4212d458e883b14a9a41a2017d5ae" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:52.17 ---> saved as "18096c8c7e2d63a4fac760017a7ca2f078f9ec7b6b838a592e612464b9b5d3b4" /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 3s (3226 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) ... 2025-03-21 14:52.42 ---> saved as "cbad75e01466966f4e0a25626ca7a554e66e02ce762ea53b462d2c65de7b6f32" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.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_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:55.03 ---> saved as "fb82ddc3efb677dbe27b91a8d7e4ccbba191089e6f2b4759d2c9fec9271a24db" /src: (copy (src .) (dst /src)) 2025-03-21 14:55.04 ---> saved as "3204fb85eef3363b1f9f256896f7a75ac41198c1ed0669f1ad4a377a74c71159" /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/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/d53080c1e6804943fc7b7d3c4eacedc9/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fe9a3c8da6f8023dcb94cd5fdd6e658e/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/fe9a3c8da6f8023dcb94cd5fdd6e658e/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934 Batch=299, step=300, lr=0.198750, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198500, batch loss=1.336864, epoch loss=38.399751 Batch=419, step=420, lr=0.198250, batch loss=0.614359, epoch loss=39.014109 Batch=479, step=480, lr=0.198000, batch loss=0.794791, epoch loss=39.808900 Batch=539, step=540, lr=0.197750, batch loss=0.651963, epoch loss=40.460863 Batch=599, step=600, lr=0.197500, batch loss=1.084678, epoch loss=41.545541 Batch=659, step=660, lr=0.197500, batch loss=0.482492, epoch loss=42.028033 Batch=719, step=720, lr=0.197000, batch loss=0.412685, epoch loss=42.440718 Batch=779, step=780, lr=0.196750, batch loss=0.470748, epoch loss=42.911466 Batch=839, step=840, lr=0.196500, batch loss=0.445224, epoch loss=43.356690 Batch=899, step=900, lr=0.196250, batch loss=0.386261, epoch loss=43.742951 Batch=959, step=960, lr=0.196000, batch loss=0.251632, epoch loss=43.994584 Batch=1019, step=1020, lr=0.195750, batch loss=0.470982, epoch loss=44.465565 Batch=1079, step=1080, lr=0.195500, batch loss=0.248129, epoch loss=44.713694 Batch=1139, step=1140, lr=0.195250, batch loss=0.318597, epoch loss=45.032292 Batch=1199, step=1200, lr=0.195000, batch loss=0.264160, epoch loss=45.296451 Epoch=0, step=1200, lr=0.195000, epoch loss=45.296451 Batch=59, step=1260, lr=0.195000, batch loss=0.263003, epoch loss=0.263003 Batch=119, step=1320, lr=0.194500, batch loss=0.207602, epoch loss=0.470605 Batch=179, step=1380, lr=0.194250, batch loss=0.247729, epoch loss=0.718334 Batch=239, step=1440, lr=0.194000, batch loss=0.355367, epoch loss=1.073701 Batch=299, step=1500, lr=0.193750, batch loss=0.237218, epoch loss=1.310919 Batch=359, step=1560, lr=0.193750, batch loss=0.313896, epoch loss=1.624815 Batch=419, step=1620, lr=0.193250, batch loss=0.310634, epoch loss=1.935449 Batch=479, step=1680, lr=0.193000, batch loss=0.276771, epoch loss=2.212220 Batch=539, step=1740, lr=0.192750, batch loss=0.211136, epoch loss=2.423356 Batch=599, step=1800, lr=0.192500, batch loss=0.250132, epoch loss=2.673488 Batch=659, step=1860, lr=0.192250, batch loss=0.369842, epoch loss=3.043329 Batch=719, step=1920, lr=0.192000, batch loss=0.358775, epoch loss=3.402104 Batch=779, step=1980, lr=0.191750, batch loss=0.384078, epoch loss=3.786182 Batch=839, step=2040, lr=0.191500, batch loss=0.342435, epoch loss=4.128617 Batch=899, step=2100, lr=0.191250, batch loss=0.300708, epoch loss=4.429326 Batch=959, step=2160, lr=0.191000, batch loss=0.222826, epoch loss=4.652152 Batch=1019, step=2220, lr=0.190750, batch loss=0.328352, epoch loss=4.980504 Batch=1079, step=2280, lr=0.190500, batch loss=0.200873, epoch loss=5.181377 Batch=1139, step=2340, lr=0.190250, batch loss=0.270760, epoch loss=5.452137 Batch=1199, step=2400, lr=0.190250, batch loss=0.222382, epoch loss=5.674519 Epoch=1, step=2400, lr=0.190250, epoch loss=5.674519 Batch=59, step=2460, lr=0.190000, batch loss=0.231584, epoch loss=0.231584 Batch=119, step=2520, lr=0.189750, batch loss=0.198149, epoch loss=0.429733 Batch=179, step=2580, lr=0.189500, batch loss=0.220665, epoch loss=0.650398 Batch=239, step=2640, lr=0.189000, batch loss=0.328613, epoch loss=0.979011 Batch=299, step=2700, lr=0.188750, batch loss=0.207532, epoch loss=1.186543 Batch=359, step=2760, lr=0.188500, batch loss=0.294129, epoch loss=1.480671 Batch=419, step=2820, lr=0.188250, batch loss=0.285007, epoch loss=1.765679 Batch=479, step=2880, lr=0.188000, batch loss=0.264411, epoch loss=2.030090 Batch=539, step=2940, lr=0.187750, batch loss=0.209120, epoch loss=2.239210 Batch=599, step=3000, lr=0.187500, batch loss=0.258748, epoch loss=2.497958 Batch=659, step=3060, lr=0.187250, batch loss=0.360469, epoch loss=2.858427 Batch=719, step=3120, lr=0.187000, batch loss=0.358375, epoch loss=3.216802 Batch=779, step=3180, lr=0.186750, batch loss=0.360334, epoch loss=3.577136 Batch=839, step=3240, lr=0.186750, batch loss=0.330110, epoch loss=3.907245 Batch=899, step=3300, lr=0.186250, batch loss=0.297564, epoch loss=4.204809 Batch=959, step=3360, lr=0.186250, batch loss=0.240533, epoch loss=4.445342 Batch=1019, step=3420, lr=0.185750, batch loss=0.369651, epoch loss=4.814993 Batch=1079, step=3480, lr=0.185500, batch loss=0.221293, epoch loss=5.036286 Batch=1139, step=3540, lr=0.185250, batch loss=0.264878, epoch loss=5.301164 Batch=1199, step=3600, lr=0.185250, batch loss=0.200895, epoch loss=5.502059 Epoch=2, step=3600, lr=0.185250, epoch loss=5.502059 Batch=59, step=3660, lr=0.184750, batch loss=0.226194, epoch loss=0.226194 Batch=119, step=3720, lr=0.184500, batch loss=0.189048, epoch loss=0.415242 Batch=179, step=3780, lr=0.184500, batch loss=0.214027, epoch loss=0.629269 Batch=239, step=3840, lr=0.184000, batch loss=0.317523, epoch loss=0.946793 Batch=299, step=3900, lr=0.183750, batch loss=0.204362, epoch loss=1.151154 Batch=359, step=3960, lr=0.183500, batch loss=0.289506, epoch loss=1.440660 Batch=419, step=4020, lr=0.183250, batch loss=0.275245, epoch loss=1.715905 Batch=479, step=4080, lr=0.183000, batch loss=0.257515, epoch loss=1.973420 Batch=539, step=4140, lr=0.182750, batch loss=0.196653, epoch loss=2.170073 Batch=599, step=4200, lr=0.182500, batch loss=0.239037, epoch loss=2.409110 Batch=659, step=4260, lr=0.182250, batch loss=0.331334, epoch loss=2.740444 Batch=719, step=4320, lr=0.182000, batch loss=0.328944, epoch loss=3.069389 Batch=779, step=4380, lr=0.181750, batch loss=0.354289, epoch loss=3.423678 Batch=839, step=4440, lr=0.181500, batch loss=0.318313, epoch loss=3.741991 Batch=899, step=4500, lr=0.181250, batch loss=0.287219, epoch loss=4.029210 Batch=959, step=4560, lr=0.181250, batch loss=0.238591, epoch loss=4.267801 Batch=1019, step=4620, lr=0.180750, batch loss=0.333195, epoch loss=4.600996 Batch=1079, step=4680, lr=0.180500, batch loss=0.192543, epoch loss=4.793539 Batch=1139, step=4740, lr=0.180250, batch loss=0.229311, epoch loss=5.022849 Batch=1199, step=4800, lr=0.180000, batch loss=0.191865, epoch loss=5.214714 Epoch=3, step=4800, lr=0.180000, epoch loss=5.214714 Batch=59, step=4860, lr=0.179750, batch loss=0.224518, epoch loss=0.224518 Batch=119, step=4920, lr=0.179500, batch loss=0.187088, epoch loss=0.411606 Batch=179, step=4980, lr=0.179250, batch loss=0.207439, epoch loss=0.619045 Batch=239, step=5040, lr=0.179000, batch loss=0.307393, epoch loss=0.926438 Batch=299, step=5100, lr=0.178750, batch loss=0.203495, epoch loss=1.129933 Batch=359, step=5160, lr=0.178750, batch loss=0.273496, epoch loss=1.403429 Batch=419, step=5220, lr=0.178250, batch loss=0.265543, epoch loss=1.668972 Batch=479, step=5280, lr=0.178000, batch loss=0.240541, epoch loss=1.909513 Batch=539, step=5340, lr=0.177750, batch loss=0.190491, epoch loss=2.100003 Batch=599, step=5400, lr=0.177500, batch loss=0.231374, epoch loss=2.331377 Batch=659, step=5460, lr=0.177250, batch loss=0.325618, epoch loss=2.656996 Batch=719, step=5520, lr=0.177250, batch loss=0.335073, epoch loss=2.992068 Batch=779, step=5580, lr=0.177000, batch loss=0.342910, epoch loss=3.334979 Batch=839, step=5640, lr=0.176500, batch loss=0.310691, epoch loss=3.645669 Batch=899, step=5700, lr=0.176250, batch loss=0.273307, epoch loss=3.918976 Batch=959, step=5760, lr=0.176250, batch loss=0.215607, epoch loss=4.134583 Batch=1019, step=5820, lr=0.175750, batch loss=0.335746, epoch loss=4.470329 Batch=1079, step=5880, lr=0.175500, batch loss=0.190752, epoch loss=4.661081 Batch=1139, step=5940, lr=0.175250, batch loss=0.221328, epoch loss=4.882409 Batch=1199, step=6000, lr=0.175000, batch loss=0.187637, epoch loss=5.070046 Epoch=4, step=6000, lr=0.175000, epoch loss=5.070046 Batch=59, step=6060, lr=0.174750, batch loss=0.224156, epoch loss=0.224156 Batch=119, step=6120, lr=0.174750, batch loss=0.186590, epoch loss=0.410746 Batch=179, step=6180, lr=0.174500, batch loss=0.201593, epoch loss=0.612340 Batch=239, step=6240, lr=0.174000, batch loss=0.303730, epoch loss=0.916070 Batch=299, step=6300, lr=0.174000, batch loss=0.210874, epoch loss=1.126944 Batch=359, step=6360, lr=0.173500, batch loss=0.275384, epoch loss=1.402328 Batch=419, step=6420, lr=0.173250, batch loss=0.266549, epoch loss=1.668877 Batch=479, step=6480, lr=0.173000, batch loss=0.244183, epoch loss=1.913060 Batch=539, step=6540, lr=0.172750, batch loss=0.194012, epoch loss=2.107072 Batch=599, step=6600, lr=0.172500, batch loss=0.236393, epoch loss=2.343464 Batch=659, step=6660, lr=0.172250, batch loss=0.313078, epoch loss=2.656543 Batch=719, step=6720, lr=0.172250, batch loss=0.320335, epoch loss=2.976878 Batch=779, step=6780, lr=0.171750, batch loss=0.337407, epoch loss=3.314284 Batch=839, step=6840, lr=0.171500, batch loss=0.302204, epoch loss=3.616488 Batch=899, step=6900, lr=0.171500, batch loss=0.270699, epoch loss=3.887187 Batch=959, step=6960, lr=0.171000, batch loss=0.205716, epoch loss=4.092903 Batch=1019, step=7020, lr=0.170750, batch loss=0.330175, epoch loss=4.423078 Batch=1079, step=7080, lr=0.170500, batch loss=0.196598, epoch loss=4.619676 Batch=1139, step=7140, lr=0.170250, batch loss=0.231273, epoch loss=4.850949 Batch=1199, step=7200, lr=0.170000, batch loss=0.181563, epoch loss=5.032511 Epoch=5, step=7200, lr=0.170000, epoch loss=5.032511 Batch=59, step=7260, lr=0.170000, batch loss=0.223673, epoch loss=0.223673 Batch=119, step=7320, lr=0.169500, batch loss=0.184254, epoch loss=0.407927 Batch=179, step=7380, lr=0.169250, batch loss=0.197212, epoch loss=0.605138 Batch=239, step=7440, lr=0.169250, batch loss=0.295110, epoch loss=0.900249 Batch=299, step=7500, lr=0.168750, batch loss=0.205452, epoch loss=1.105700 Batch=359, step=7560, lr=0.168500, batch loss=0.263622, epoch loss=1.369322 Batch=419, step=7620, lr=0.168250, batch loss=0.258588, epoch loss=1.627910 Batch=479, step=7680, lr=0.168000, batch loss=0.236580, epoch loss=1.864490 Batch=539, step=7740, lr=0.168000, batch loss=0.189318, epoch loss=2.053808 Batch=599, step=7800, lr=0.167750, batch loss=0.224614, epoch loss=2.278423 Batch=659, step=7860, lr=0.167250, batch loss=0.307468, epoch loss=2.585891 Batch=719, step=7920, lr=0.167250, batch loss=0.310134, epoch loss=2.896025 Batch=779, step=7980, lr=0.166750, batch loss=0.331601, epoch loss=3.227626 Batch=839, step=8040, lr=0.166500, batch loss=0.292255, epoch loss=3.519881 Batch=899, step=8100, lr=0.166250, batch loss=0.255961, epoch loss=3.775842 Batch=959, step=8160, lr=0.166000, batch loss=0.191022, epoch loss=3.966864 Batch=1019, step=8220, lr=0.166000, batch loss=0.285091, epoch loss=4.251955 Batch=1079, step=8280, lr=0.165750, batch loss=0.169894, epoch loss=4.421849 Batch=1139, step=8340, lr=0.165250, batch loss=0.206921, epoch loss=4.628771 Batch=1199, step=8400, lr=0.165250, batch loss=0.182893, epoch loss=4.811663 Epoch=6, step=8400, lr=0.165250, epoch loss=4.811663 Batch=59, step=8460, lr=0.164750, batch loss=0.224573, epoch loss=0.224573 Batch=119, step=8520, lr=0.164500, batch loss=0.180442, epoch loss=0.405015 Batch=179, step=8580, lr=0.164500, batch loss=0.187443, epoch loss=0.592458 Batch=239, step=8640, lr=0.164250, batch loss=0.278412, epoch loss=0.870870 Batch=299, step=8700, lr=0.164000, batch loss=0.192777, epoch loss=1.063647 Batch=359, step=8760, lr=0.163750, batch loss=0.251321, epoch loss=1.314968 Batch=419, step=8820, lr=0.163500, batch loss=0.246247, epoch loss=1.561215 Batch=479, step=8880, lr=0.163250, batch loss=0.229015, epoch loss=1.790230 Batch=539, step=8940, lr=0.163000, batch loss=0.180858, epoch loss=1.971088 Batch=599, step=9000, lr=0.162500, batch loss=0.217526, epoch loss=2.188614 Batch=659, step=9060, lr=0.162500, batch loss=0.294826, epoch loss=2.483440 Batch=719, step=9120, lr=0.162250, batch loss=0.297897, epoch loss=2.781337 Batch=779, step=9180, lr=0.161750, batch loss=0.317135, epoch loss=3.098471 Batch=839, step=9240, lr=0.161750, batch loss=0.281238, epoch loss=3.379709 Batch=899, step=9300, lr=0.161250, batch loss=0.254536, epoch loss=3.634245 Batch=959, step=9360, lr=0.161000, batch loss=0.210144, epoch loss=3.844390 Batch=1019, step=9420, lr=0.161000, batch loss=0.301671, epoch loss=4.146060 Batch=1079, step=9480, lr=0.160500, batch loss=0.175552, epoch loss=4.321613 Batch=1139, step=9540, lr=0.160500, batch loss=0.208649, epoch loss=4.530261 Batch=1199, step=9600, lr=0.160250, batch loss=0.166110, epoch loss=4.696371 Epoch=7, step=9600, lr=0.160250, epoch loss=4.696371 Batch=59, step=9660, lr=0.159750, batch loss=0.199218, epoch loss=0.199218 Batch=119, step=9720, lr=0.159500, batch loss=0.166900, epoch loss=0.366118 Batch=179, step=9780, lr=0.159250, batch loss=0.179956, epoch loss=0.546074 Batch=239, step=9840, lr=0.159000, batch loss=0.263017, epoch loss=0.809091 Batch=299, step=9900, lr=0.159000, batch loss=0.189007, epoch loss=0.998097 Batch=359, step=9960, lr=0.158500, batch loss=0.244892, epoch loss=1.242989 Batch=419, step=10020, lr=0.158250, batch loss=0.234262, epoch loss=1.477250 Batch=479, step=10080, lr=0.158250, batch loss=0.216747, epoch loss=1.693997 Batch=539, step=10140, lr=0.157750, batch loss=0.171933, epoch loss=1.865931 Batch=599, step=10200, lr=0.157500, batch loss=0.204633, epoch loss=2.070564 Batch=659, step=10260, lr=0.157250, batch loss=0.283066, epoch loss=2.353630 Batch=719, step=10320, lr=0.157250, batch loss=0.280415, epoch loss=2.634045 Batch=779, step=10380, lr=0.156750, batch loss=0.301161, epoch loss=2.935206 Batch=839, step=10440, lr=0.156500, batch loss=0.273317, epoch loss=3.208523 Batch=899, step=10500, lr=0.156250, batch loss=0.240565, epoch loss=3.449088 Batch=959, step=10560, lr=0.156250, batch loss=0.201502, epoch loss=3.650590 Batch=1019, step=10620, lr=0.155750, batch loss=0.283271, epoch loss=3.933861 Batch=1079, step=10680, lr=0.155750, batch loss=0.159432, epoch loss=4.093293 Batch=1139, step=10740, lr=0.155250, batch loss=0.191847, epoch loss=4.285140 Batch=1199, step=10800, lr=0.155000, batch loss=0.156220, epoch loss=4.441360 Epoch=8, step=10800, lr=0.155000, epoch loss=4.441360 Batch=59, step=10860, lr=0.154750, batch loss=0.178703, epoch loss=0.178703 Batch=119, step=10920, lr=0.154500, batch loss=0.153181, epoch loss=0.331883 Batch=179, step=10980, lr=0.154250, batch loss=0.167548, epoch loss=0.499431 Batch=239, step=11040, lr=0.154000, batch loss=0.244300, epoch loss=0.743732 Batch=299, step=11100, lr=0.154000, batch loss=0.172937, epoch loss=0.916669 Batch=359, step=11160, lr=0.153500, batch loss=0.225058, epoch loss=1.141727 Batch=419, step=11220, lr=0.153250, batch loss=0.232814, epoch loss=1.374541 Batch=479, step=11280, lr=0.153000, batch loss=0.204611, epoch loss=1.579152 Batch=539, step=11340, lr=0.152750, batch loss=0.163006, epoch loss=1.742158 Batch=599, step=11400, lr=0.152500, batch loss=0.186955, epoch loss=1.929114 Batch=659, step=11460, lr=0.152250, batch loss=0.263794, epoch loss=2.192907 Batch=719, step=11520, lr=0.152000, batch loss=0.260616, epoch loss=2.453523 Batch=779, step=11580, lr=0.151750, batch loss=0.272633, epoch loss=2.726156 Batch=839, step=11640, lr=0.151500, batch loss=0.252355, epoch loss=2.978510 Batch=899, step=11700, lr=0.151500, batch loss=0.220162, epoch loss=3.198673 Batch=959, step=11760, lr=0.151000, batch loss=0.173744, epoch loss=3.372417 Batch=1019, step=11820, lr=0.151000, batch loss=0.264609, epoch loss=3.637025 Batch=1079, step=11880, lr=0.150750, batch loss=0.161596, epoch loss=3.798621 Batch=1139, step=11940, lr=0.150500, batch loss=0.194029, epoch loss=3.992650 Batch=1199, step=12000, lr=0.150250, batch loss=0.141621, epoch loss=4.134271 Epoch=9, step=12000, lr=0.150250, epoch loss=4.134271 Batch=59, step=12060, lr=0.150000, batch loss=0.164199, epoch loss=0.164199 Batch=119, step=12120, lr=0.149750, batch loss=0.138844, epoch loss=0.303044 Batch=179, step=12180, lr=0.149250, batch loss=0.152287, epoch loss=0.455331 Batch=239, step=12240, lr=0.149250, batch loss=0.221889, epoch loss=0.677220 Batch=299, step=12300, lr=0.149000, batch loss=0.145862, epoch loss=0.823082 Batch=359, step=12360, lr=0.148750, batch loss=0.201762, epoch loss=1.024844 Batch=419, step=12420, lr=0.148500, batch loss=0.208646, epoch loss=1.233490 Batch=479, step=12480, lr=0.148000, batch loss=0.183658, epoch loss=1.417148 Batch=539, step=12540, lr=0.148000, batch loss=0.143853, epoch loss=1.561001 Batch=599, step=12600, lr=0.147750, batch loss=0.153384, epoch loss=1.714385 Batch=659, step=12660, lr=0.147500, batch loss=0.228284, epoch loss=1.942669 Batch=719, step=12720, lr=0.147250, batch loss=0.233499, epoch loss=2.176168 Batch=779, step=12780, lr=0.147000, batch loss=0.241338, epoch loss=2.417506 Batch=839, step=12840, lr=0.146750, batch loss=0.235240, epoch loss=2.652746 Batch=899, step=12900, lr=0.146250, batch loss=0.213984, epoch loss=2.866730 Batch=959, step=12960, lr=0.146000, batch loss=0.146149, epoch loss=3.012879 Batch=1019, step=13020, lr=0.145750, batch loss=0.252013, epoch loss=3.264892 Batch=1079, step=13080, lr=0.145500, batch loss=0.125237, epoch loss=3.390129 Batch=1139, step=13140, lr=0.145250, batch loss=0.177368, epoch loss=3.567498 Batch=1199, step=13200, lr=0.145250, batch loss=0.121027, epoch loss=3.688525 Epoch=10, step=13200, lr=0.145250, epoch loss=3.688525 Batch=59, step=13260, lr=0.145000, batch loss=0.142707, epoch loss=0.142707 Batch=119, step=13320, lr=0.144500, batch loss=0.117842, epoch loss=0.260549 Batch=179, step=13380, lr=0.144500, batch loss=0.132356, epoch loss=0.392905 Batch=239, step=13440, lr=0.144000, batch loss=0.198245, epoch loss=0.591150 Batch=299, step=13500, lr=0.143750, batch loss=0.120424, epoch loss=0.711573 Batch=359, step=13560, lr=0.143500, batch loss=0.168611, epoch loss=0.880184 Batch=419, step=13620, lr=0.143250, batch loss=0.164017, epoch loss=1.044201 Batch=479, step=13680, lr=0.143000, batch loss=0.150763, epoch loss=1.194964 Batch=539, step=13740, lr=0.142750, batch loss=0.120769, epoch loss=1.315733 Batch=599, step=13800, lr=0.142500, batch loss=0.124202, epoch loss=1.439935 Batch=659, step=13860, lr=0.142250, batch loss=0.185622, epoch loss=1.625557 Batch=719, step=13920, lr=0.142000, batch loss=0.201730, epoch loss=1.827287 Batch=779, step=13980, lr=0.141750, batch loss=0.230310, epoch loss=2.057597 Batch=839, step=14040, lr=0.141500, batch loss=0.204216, epoch loss=2.261813 Batch=899, step=14100, lr=0.141250, batch loss=0.213188, epoch loss=2.475001 Batch=959, step=14160, lr=0.141250, batch loss=0.111968, epoch loss=2.586969 Batch=1019, step=14220, lr=0.141000, batch loss=0.198013, epoch loss=2.784982 Batch=1079, step=14280, lr=0.140500, batch loss=0.082553, epoch loss=2.867536 Batch=1139, step=14340, lr=0.140250, batch loss=0.132366, epoch loss=2.999901 Batch=1199, step=14400, lr=0.140000, batch loss=0.091532, epoch loss=3.091434 Epoch=11, step=14400, lr=0.140000, epoch loss=3.091434 Batch=59, step=14460, lr=0.139750, batch loss=0.111814, epoch loss=0.111814 Batch=119, step=14520, lr=0.139500, batch loss=0.108030, epoch loss=0.219844 Batch=179, step=14580, lr=0.139500, batch loss=0.105776, epoch loss=0.325620 Batch=239, step=14640, lr=0.139000, batch loss=0.148087, epoch loss=0.473707 Batch=299, step=14700, lr=0.139000, batch loss=0.082590, epoch loss=0.556297 Batch=359, step=14760, lr=0.138500, batch loss=0.124252, epoch loss=0.680549 Batch=419, step=14820, lr=0.138250, batch loss=0.130832, epoch loss=0.811381 Batch=479, step=14880, lr=0.138000, batch loss=0.111663, epoch loss=0.923044 Batch=539, step=14940, lr=0.137750, batch loss=0.105293, epoch loss=1.028337 Batch=599, step=15000, lr=0.137750, batch loss=0.089262, epoch loss=1.117599 Batch=659, step=15060, lr=0.137500, batch loss=0.137563, epoch loss=1.255162 Batch=719, step=15120, lr=0.137000, batch loss=0.149784, epoch loss=1.404947 Batch=779, step=15180, lr=0.137000, batch loss=0.210378, epoch loss=1.615325 Batch=839, step=15240, lr=0.136500, batch loss=0.158264, epoch loss=1.773589 Batch=899, step=15300, lr=0.136250, batch loss=0.166142, epoch loss=1.939732 Batch=959, step=15360, lr=0.136000, batch loss=0.087463, epoch loss=2.027195 Batch=1019, step=15420, lr=0.135750, batch loss=0.163703, epoch loss=2.190898 Batch=1079, step=15480, lr=0.135500, batch loss=0.049763, epoch loss=2.240661 Batch=1139, step=15540, lr=0.135500, batch loss=0.108240, epoch loss=2.348900 Batch=1199, step=15600, lr=0.135250, batch loss=0.060568, epoch loss=2.409469 Epoch=12, step=15600, lr=0.135250, epoch loss=2.409469 Batch=59, step=15660, lr=0.135000, batch loss=0.101446, epoch loss=0.101446 Batch=119, step=15720, lr=0.134750, batch loss=0.170025, epoch loss=0.271472 Batch=179, step=15780, lr=0.134500, batch loss=0.113043, epoch loss=0.384515 Batch=239, step=15840, lr=0.134250, batch loss=0.110730, epoch loss=0.495245 Batch=299, step=15900, lr=0.133750, batch loss=0.050476, epoch loss=0.545721 Batch=359, step=15960, lr=0.133750, batch loss=0.092956, epoch loss=0.638677 Batch=419, step=16020, lr=0.133500, batch loss=0.085312, epoch loss=0.723989 Batch=479, step=16080, lr=0.133250, batch loss=0.067799, epoch loss=0.791788 Batch=539, step=16140, lr=0.133000, batch loss=0.059958, epoch loss=0.851746 Batch=599, step=16200, lr=0.132500, batch loss=0.111753, epoch loss=0.963499 Batch=659, step=16260, lr=0.132250, batch loss=0.084289, epoch loss=1.047788 Batch=719, step=16320, lr=0.132000, batch loss=0.089969, epoch loss=1.137757 Batch=779, step=16380, lr=0.132000, batch loss=0.108975, epoch loss=1.246732 Batch=839, step=16440, lr=0.131750, batch loss=0.127382, epoch loss=1.374114 Batch=899, step=16500, lr=0.131500, batch loss=0.158653, epoch loss=1.532767 Batch=959, step=16560, lr=0.131250, batch loss=0.043749, epoch loss=1.576515 Batch=1019, step=16620, lr=0.131000, batch loss=0.106359, epoch loss=1.682874 Batch=1079, step=16680, lr=0.130750, batch loss=0.031463, epoch loss=1.714337 Batch=1139, step=16740, lr=0.130500, batch loss=0.073477, epoch loss=1.787814 Batch=1199, step=16800, lr=0.130250, batch loss=0.036793, epoch loss=1.824607 Epoch=13, step=16800, lr=0.130250, epoch loss=1.824607 Batch=59, step=16860, lr=0.129750, batch loss=0.037777, epoch loss=0.037777 Batch=119, step=16920, lr=0.129750, batch loss=0.038100, epoch loss=0.075876 Batch=179, step=16980, lr=0.129250, batch loss=0.045051, epoch loss=0.120927 Batch=239, step=17040, lr=0.129250, batch loss=0.059122, epoch loss=0.180049 Batch=299, step=17100, lr=0.129000, batch loss=0.022576, epoch loss=0.202625 Batch=359, step=17160, lr=0.128750, batch loss=0.045121, epoch loss=0.247746 Batch=419, step=17220, lr=0.128500, batch loss=0.046639, epoch loss=0.294385 Batch=479, step=17280, lr=0.128250, batch loss=0.023782, epoch loss=0.318167 Batch=539, step=17340, lr=0.128000, batch loss=0.029718, epoch loss=0.347885 Batch=599, step=17400, lr=0.127750, batch loss=0.038552, epoch loss=0.386437 Batch=659, step=17460, lr=0.127500, batch loss=0.053074, epoch loss=0.439511 Batch=719, step=17520, lr=0.127250, batch loss=0.078089, epoch loss=0.517600 Batch=779, step=17580, lr=0.126750, batch loss=0.074356, epoch loss=0.591956 Batch=839, step=17640, lr=0.126750, batch loss=0.133854, epoch loss=0.725810 Batch=899, step=17700, lr=0.126250, batch loss=0.067603, epoch loss=0.793413 Batch=959, step=17760, lr=0.126000, batch loss=0.030295, epoch loss=0.823708 Batch=1019, step=17820, lr=0.125750, batch loss=0.039565, epoch loss=0.863273 Batch=1079, step=17880, lr=0.125750, batch loss=0.022220, epoch loss=0.885492 Batch=1139, step=17940, lr=0.125500, batch loss=0.042624, epoch loss=0.928116 Batch=1199, step=18000, lr=0.125250, batch loss=0.016920, epoch loss=0.945036 Epoch=14, step=18000, lr=0.125250, epoch loss=0.945036 Batch=59, step=18060, lr=0.125000, batch loss=0.017347, epoch loss=0.017347 Batch=119, step=18120, lr=0.124750, batch loss=0.024679, epoch loss=0.042026 Batch=179, step=18180, lr=0.124500, batch loss=0.030224, epoch loss=0.072249 Batch=239, step=18240, lr=0.124250, batch loss=0.037839, epoch loss=0.110089 Batch=299, step=18300, lr=0.123750, batch loss=0.011421, epoch loss=0.121509 Batch=359, step=18360, lr=0.123750, batch loss=0.025912, epoch loss=0.147421 Batch=419, step=18420, lr=0.123500, batch loss=0.030864, epoch loss=0.178284 Batch=479, step=18480, lr=0.123250, batch loss=0.020062, epoch loss=0.198347 Batch=539, step=18540, lr=0.123000, batch loss=0.039455, epoch loss=0.237802 Batch=599, step=18600, lr=0.122500, batch loss=0.026772, epoch loss=0.264573 Batch=659, step=18660, lr=0.122500, batch loss=0.035657, epoch loss=0.300230 Batch=719, step=18720, lr=0.122000, batch loss=0.041516, epoch loss=0.341746 Batch=779, step=18780, lr=0.121750, batch loss=0.119327, epoch loss=0.461073 Batch=839, step=18840, lr=0.121750, batch loss=0.065478, epoch loss=0.526551 Batch=899, step=18900, lr=0.121250, batch loss=0.085279, epoch loss=0.611830 Batch=959, step=18960, lr=0.121000, batch loss=0.014757, epoch loss=0.626587 Batch=1019, step=19020, lr=0.120750, batch loss=0.028327, epoch loss=0.654914 Batch=1079, step=19080, lr=0.120750, batch loss=0.008415, epoch loss=0.663329 Batch=1139, step=19140, lr=0.120500, batch loss=0.026137, epoch loss=0.689466 Batch=1199, step=19200, lr=0.120250, batch loss=0.011488, epoch loss=0.700954 Epoch=15, step=19200, lr=0.120250, epoch loss=0.700954 Batch=59, step=19260, lr=0.120000, batch loss=0.006228, epoch loss=0.006228 Batch=119, step=19320, lr=0.119750, batch loss=0.016059, epoch loss=0.022287 Batch=179, step=19380, lr=0.119500, batch loss=0.033797, epoch loss=0.056083 Batch=239, step=19440, lr=0.119250, batch loss=0.022871, epoch loss=0.078954 Batch=299, step=19500, lr=0.119000, batch loss=0.005592, epoch loss=0.084546 Batch=359, step=19560, lr=0.118500, batch loss=0.017917, epoch loss=0.102463 Batch=419, step=19620, lr=0.118500, batch loss=0.019994, epoch loss=0.122457 Batch=479, step=19680, lr=0.118250, batch loss=0.008901, epoch loss=0.131358 Batch=539, step=19740, lr=0.118000, batch loss=0.018105, epoch loss=0.149463 Batch=599, step=19800, lr=0.117750, batch loss=0.023793, epoch loss=0.173257 Batch=659, step=19860, lr=0.117250, batch loss=0.019661, epoch loss=0.192917 Batch=719, step=19920, lr=0.117000, batch loss=0.056797, epoch loss=0.249714 Batch=779, step=19980, lr=0.117000, batch loss=0.084930, epoch loss=0.334643 Batch=839, step=20040, lr=0.116750, batch loss=0.033004, epoch loss=0.367647 Batch=899, step=20100, lr=0.116500, batch loss=0.030189, epoch loss=0.397837 Batch=959, step=20160, lr=0.116000, batch loss=0.013957, epoch loss=0.411793 Batch=1019, step=20220, lr=0.116000, batch loss=0.024221, epoch loss=0.436015 Batch=1079, step=20280, lr=0.115750, batch loss=0.003471, epoch loss=0.439486 Batch=1139, step=20340, lr=0.115250, batch loss=0.015417, epoch loss=0.454903 Batch=1199, step=20400, lr=0.115250, batch loss=0.005660, epoch loss=0.460563 Epoch=16, step=20400, lr=0.115250, epoch loss=0.460563 Batch=59, step=20460, lr=0.114750, batch loss=0.003511, epoch loss=0.003511 Batch=119, step=20520, lr=0.114750, batch loss=0.010082, epoch loss=0.013593 Batch=179, step=20580, lr=0.114500, batch loss=0.027937, epoch loss=0.041530 Batch=239, step=20640, lr=0.114000, batch loss=0.014421, epoch loss=0.055951 Batch=299, step=20700, lr=0.113750, batch loss=0.003370, epoch loss=0.059321 Batch=359, step=20760, lr=0.113750, batch loss=0.014816, epoch loss=0.074137 Batch=419, step=20820, lr=0.113500, batch loss=0.015256, epoch loss=0.089392 Batch=479, step=20880, lr=0.113250, batch loss=0.004595, epoch loss=0.093987 Batch=539, step=20940, lr=0.112750, batch loss=0.019492, epoch loss=0.113479 Batch=599, step=21000, lr=0.112750, batch loss=0.021453, epoch loss=0.134932 Batch=659, step=21060, lr=0.112500, batch loss=0.018701, epoch loss=0.153634 Batch=719, step=21120, lr=0.112250, batch loss=0.051647, epoch loss=0.205281 Batch=779, step=21180, lr=0.112000, batch loss=0.069271, epoch loss=0.274552 Batch=839, step=21240, lr=0.111750, batch loss=0.025231, epoch loss=0.299783 Batch=899, step=21300, lr=0.111500, batch loss=0.026967, epoch loss=0.326750 Batch=959, step=21360, lr=0.111250, batch loss=0.011189, epoch loss=0.337939 Batch=1019, step=21420, lr=0.110750, batch loss=0.012799, epoch loss=0.350738 Batch=1079, step=21480, lr=0.110750, batch loss=0.002579, epoch loss=0.353317 Batch=1139, step=21540, lr=0.110500, batch loss=0.012690, epoch loss=0.366007 Batch=1199, step=21600, lr=0.110250, batch loss=0.005222, epoch loss=0.371229 Epoch=17, step=21600, lr=0.110250, epoch loss=0.371229 Batch=59, step=21660, lr=0.110000, batch loss=0.002636, epoch loss=0.002636 Batch=119, step=21720, lr=0.109750, batch loss=0.007126, epoch loss=0.009763 Batch=179, step=21780, lr=0.109250, batch loss=0.013165, epoch loss=0.022928 Batch=239, step=21840, lr=0.109250, batch loss=0.010072, epoch loss=0.032999 Batch=299, step=21900, lr=0.109000, batch loss=0.009870, epoch loss=0.042869 Batch=359, step=21960, lr=0.108500, batch loss=0.015552, epoch loss=0.058421 Batch=419, step=22020, lr=0.108500, batch loss=0.012582, epoch loss=0.071003 Batch=479, step=22080, lr=0.108250, batch loss=0.002920, epoch loss=0.073923 Batch=539, step=22140, lr=0.108000, batch loss=0.018554, epoch loss=0.092477 Batch=599, step=22200, lr=0.107750, batch loss=0.017289, epoch loss=0.109766 Batch=659, step=22260, lr=0.107250, batch loss=0.014296, epoch loss=0.124062 Batch=719, step=22320, lr=0.107250, batch loss=0.027768, epoch loss=0.151830 Batch=779, step=22380, lr=0.106750, batch loss=0.043728, epoch loss=0.195558 Batch=839, step=22440, lr=0.106750, batch loss=0.022353, epoch loss=0.217911 Batch=899, step=22500, lr=0.106500, batch loss=0.022306, epoch loss=0.240217 Batch=959, step=22560, lr=0.106000, batch loss=0.010817, epoch loss=0.251035 Batch=1019, step=22620, lr=0.105750, batch loss=0.009958, epoch loss=0.260993 Batch=1079, step=22680, lr=0.105750, batch loss=0.000804, epoch loss=0.261797 Batch=1139, step=22740, lr=0.105250, batch loss=0.011717, epoch loss=0.273514 Batch=1199, step=22800, lr=0.105250, batch loss=0.004426, epoch loss=0.277940 Epoch=18, step=22800, lr=0.105250, epoch loss=0.277940 Batch=59, step=22860, lr=0.105000, batch loss=0.001547, epoch loss=0.001547 Batch=119, step=22920, lr=0.104750, batch loss=0.005980, epoch loss=0.007528 Batch=179, step=22980, lr=0.104250, batch loss=0.010960, epoch loss=0.018487 Batch=239, step=23040, lr=0.104000, batch loss=0.009462, epoch loss=0.027949 Batch=299, step=23100, lr=0.103750, batch loss=0.011352, epoch loss=0.039301 Batch=359, step=23160, lr=0.103750, batch loss=0.011395, epoch loss=0.050696 Batch=419, step=23220, lr=0.103250, batch loss=0.011163, epoch loss=0.061859 Batch=479, step=23280, lr=0.103250, batch loss=0.002550, epoch loss=0.064409 Batch=539, step=23340, lr=0.103000, batch loss=0.017027, epoch loss=0.081436 Batch=599, step=23400, lr=0.102500, batch loss=0.014255, epoch loss=0.095691 Batch=659, step=23460, lr=0.102500, batch loss=0.010798, epoch loss=0.106488 Batch=719, step=23520, lr=0.102250, batch loss=0.013983, epoch loss=0.120471 Batch=779, step=23580, lr=0.101750, batch loss=0.023040, epoch loss=0.143511 Batch=839, step=23640, lr=0.101500, batch loss=0.025712, epoch loss=0.169223 Batch=899, step=23700, lr=0.101500, batch loss=0.023867, epoch loss=0.193090 Batch=959, step=23760, lr=0.101000, batch loss=0.008799, epoch loss=0.201889 Batch=1019, step=23820, lr=0.101000, batch loss=0.008222, epoch loss=0.210111 Batch=1079, step=23880, lr=0.100750, batch loss=0.000561, epoch loss=0.210673 Batch=1139, step=23940, lr=0.100500, batch loss=0.010076, epoch loss=0.220749 Batch=1199, step=24000, lr=0.100000, batch loss=0.004742, epoch loss=0.225491 Epoch=19, step=24000, lr=0.100000, epoch loss=0.225491 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************...******************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:56.16 ---> saved as "f67f61b0087ec3016dc1257608b3e72fec216aa0d2f7af531eb391b4a2b88b39" Job succeeded 2025-03-21 14:56.17: Job succeeded