2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (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 15116260 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 16:19.55: 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 16:19.55: 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 16:19.55: Waiting for resource in pool OCluster 2025-03-21 16:19.55: Waiting for worker… 2025-03-21 16:20.34: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions (from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) 2025-03-21 16:20.53 ---> 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 16:20.53 ---> 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 16:22.24 ---> 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 16:22.25 ---> saved as "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:22.25 ---> 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 16:23.55 ---> saved as "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:23.55 ---> 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 16:24.02 ---> saved as "cb89076554ba8957a03621180f60934d6cf4212d458e883b14a9a41a2017d5ae" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:24.02 ---> 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 (3325 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 16:24.45 ---> 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 mtime.2.1.0 (cached) -> retrieved jst-config.v0.17.0 (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 ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 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 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-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> 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 uucp.16.0.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-md.0.12 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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) 2025-03-21 16:28.24 ---> saved as "fb82ddc3efb677dbe27b91a8d7e4ccbba191089e6f2b4759d2c9fec9271a24db" /src: (copy (src .) (dst /src)) 2025-03-21 16:28.24 ---> saved as "bb965aa6c6a804190640fd786ff155a082da24596e1220cdec36aa0c892ae453" /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/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/0d12552a639cbed4cc2ea6929122acec/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f37758d0ffb0571098504d2f96297ca9/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/f37758d0ffb0571098504d2f96297ca9/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=0.197000, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470137, epoch loss=42.961039 Batch=839, step=840, lr=0.196750, batch loss=0.446680, epoch loss=43.407719 Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790453 Batch=959, step=960, lr=0.196000, batch loss=0.245133, epoch loss=44.035586 Batch=1019, step=1020, lr=0.196000, batch loss=0.466372, epoch loss=44.501959 Batch=1079, step=1080, lr=0.195750, batch loss=0.248951, epoch loss=44.750909 Batch=1139, step=1140, lr=0.195250, batch loss=0.317338, epoch loss=45.068248 Batch=1199, step=1200, lr=0.195000, batch loss=0.263701, epoch loss=45.331949 Epoch=0, step=1200, lr=0.195000, epoch loss=45.331949 Batch=59, step=1260, lr=0.194750, batch loss=0.262177, epoch loss=0.262177 Batch=119, step=1320, lr=0.194500, batch loss=0.205245, epoch loss=0.467422 Batch=179, step=1380, lr=0.194250, batch loss=0.243675, epoch loss=0.711097 Batch=239, step=1440, lr=0.194250, batch loss=0.347907, epoch loss=1.059004 Batch=299, step=1500, lr=0.194000, batch loss=0.247410, epoch loss=1.306415 Batch=359, step=1560, lr=0.193500, batch loss=0.316602, epoch loss=1.623016 Batch=419, step=1620, lr=0.193500, batch loss=0.312741, epoch loss=1.935757 Batch=479, step=1680, lr=0.193000, batch loss=0.276305, epoch loss=2.212062 Batch=539, step=1740, lr=0.192750, batch loss=0.209828, epoch loss=2.421889 Batch=599, step=1800, lr=0.192500, batch loss=0.250470, epoch loss=2.672359 Batch=659, step=1860, lr=0.192500, batch loss=0.367117, epoch loss=3.039476 Batch=719, step=1920, lr=0.192250, batch loss=0.355015, epoch loss=3.394491 Batch=779, step=1980, lr=0.191750, batch loss=0.381294, epoch loss=3.775785 Batch=839, step=2040, lr=0.191750, batch loss=0.339666, epoch loss=4.115451 Batch=899, step=2100, lr=0.191500, batch loss=0.295253, epoch loss=4.410704 Batch=959, step=2160, lr=0.191250, batch loss=0.214031, epoch loss=4.624735 Batch=1019, step=2220, lr=0.191000, batch loss=0.330914, epoch loss=4.955649 Batch=1079, step=2280, lr=0.190750, batch loss=0.208373, epoch loss=5.164022 Batch=1139, step=2340, lr=0.190500, batch loss=0.278263, epoch loss=5.442285 Batch=1199, step=2400, lr=0.190000, batch loss=0.220890, epoch loss=5.663175 Epoch=1, step=2400, lr=0.190000, epoch loss=5.663175 Batch=59, step=2460, lr=0.190000, batch loss=0.230459, epoch loss=0.230459 Batch=119, step=2520, lr=0.189750, batch loss=0.195886, epoch loss=0.426345 Batch=179, step=2580, lr=0.189250, batch loss=0.221205, epoch loss=0.647550 Batch=239, step=2640, lr=0.189250, batch loss=0.328096, epoch loss=0.975646 Batch=299, step=2700, lr=0.189000, batch loss=0.202937, epoch loss=1.178583 Batch=359, step=2760, lr=0.188500, batch loss=0.288326, epoch loss=1.466909 Batch=419, step=2820, lr=0.188500, batch loss=0.280216, epoch loss=1.747125 Batch=479, step=2880, lr=0.188250, batch loss=0.251477, epoch loss=1.998602 Batch=539, step=2940, lr=0.188000, batch loss=0.191308, epoch loss=2.189911 Batch=599, step=3000, lr=0.187750, batch loss=0.225029, epoch loss=2.414939 Batch=659, step=3060, lr=0.187500, batch loss=0.335759, epoch loss=2.750698 Batch=719, step=3120, lr=0.187250, batch loss=0.331440, epoch loss=3.082138 Batch=779, step=3180, lr=0.186750, batch loss=0.357846, epoch loss=3.439984 Batch=839, step=3240, lr=0.186500, batch loss=0.325647, epoch loss=3.765631 Batch=899, step=3300, lr=0.186250, batch loss=0.292267, epoch loss=4.057898 Batch=959, step=3360, lr=0.186000, batch loss=0.239389, epoch loss=4.297288 Batch=1019, step=3420, lr=0.185750, batch loss=0.353443, epoch loss=4.650731 Batch=1079, step=3480, lr=0.185500, batch loss=0.229838, epoch loss=4.880568 Batch=1139, step=3540, lr=0.185250, batch loss=0.262820, epoch loss=5.143388 Batch=1199, step=3600, lr=0.185000, batch loss=0.199360, epoch loss=5.342749 Epoch=2, step=3600, lr=0.185000, epoch loss=5.342749 Batch=59, step=3660, lr=0.184750, batch loss=0.221503, epoch loss=0.221503 Batch=119, step=3720, lr=0.184750, batch loss=0.184833, epoch loss=0.406336 Batch=179, step=3780, lr=0.184250, batch loss=0.211354, epoch loss=0.617690 Batch=239, step=3840, lr=0.184000, batch loss=0.317749, epoch loss=0.935439 Batch=299, step=3900, lr=0.183750, batch loss=0.208536, epoch loss=1.143975 Batch=359, step=3960, lr=0.183500, batch loss=0.285955, epoch loss=1.429930 Batch=419, step=4020, lr=0.183250, batch loss=0.283545, epoch loss=1.713475 Batch=479, step=4080, lr=0.183000, batch loss=0.256313, epoch loss=1.969789 Batch=539, step=4140, lr=0.182750, batch loss=0.197476, epoch loss=2.167265 Batch=599, step=4200, lr=0.182500, batch loss=0.237913, epoch loss=2.405178 Batch=659, step=4260, lr=0.182250, batch loss=0.329896, epoch loss=2.735074 Batch=719, step=4320, lr=0.182000, batch loss=0.329021, epoch loss=3.064095 Batch=779, step=4380, lr=0.181750, batch loss=0.350608, epoch loss=3.414702 Batch=839, step=4440, lr=0.181750, batch loss=0.318882, epoch loss=3.733585 Batch=899, step=4500, lr=0.181500, batch loss=0.291530, epoch loss=4.025114 Batch=959, step=4560, lr=0.181000, batch loss=0.243874, epoch loss=4.268989 Batch=1019, step=4620, lr=0.180750, batch loss=0.345352, epoch loss=4.614341 Batch=1079, step=4680, lr=0.180500, batch loss=0.214773, epoch loss=4.829114 Batch=1139, step=4740, lr=0.180250, batch loss=0.246409, epoch loss=5.075523 Batch=1199, step=4800, lr=0.180000, batch loss=0.191867, epoch loss=5.267390 Epoch=3, step=4800, lr=0.180000, epoch loss=5.267390 Batch=59, step=4860, lr=0.179750, batch loss=0.228444, epoch loss=0.228444 Batch=119, step=4920, lr=0.179500, batch loss=0.189056, epoch loss=0.417500 Batch=179, step=4980, lr=0.179250, batch loss=0.206613, epoch loss=0.624113 Batch=239, step=5040, lr=0.179000, batch loss=0.309822, epoch loss=0.933935 Batch=299, step=5100, lr=0.178750, batch loss=0.204159, epoch loss=1.138094 Batch=359, step=5160, lr=0.178750, batch loss=0.271094, epoch loss=1.409188 Batch=419, step=5220, lr=0.178250, batch loss=0.264561, epoch loss=1.673749 Batch=479, step=5280, lr=0.178250, batch loss=0.240133, epoch loss=1.913881 Batch=539, step=5340, lr=0.177750, batch loss=0.189155, epoch loss=2.103037 Batch=599, step=5400, lr=0.177750, batch loss=0.231818, epoch loss=2.334855 Batch=659, step=5460, lr=0.177250, batch loss=0.323510, epoch loss=2.658365 Batch=719, step=5520, lr=0.177000, batch loss=0.321651, epoch loss=2.980016 Batch=779, step=5580, lr=0.177000, batch loss=0.341588, epoch loss=3.321604 Batch=839, step=5640, lr=0.176500, batch loss=0.311220, epoch loss=3.632824 Batch=899, step=5700, lr=0.176250, batch loss=0.271528, epoch loss=3.904352 Batch=959, step=5760, lr=0.176000, batch loss=0.218151, epoch loss=4.122503 Batch=1019, step=5820, lr=0.175750, batch loss=0.332764, epoch loss=4.455267 Batch=1079, step=5880, lr=0.175750, batch loss=0.188511, epoch loss=4.643778 Batch=1139, step=5940, lr=0.175250, batch loss=0.220159, epoch loss=4.863937 Batch=1199, step=6000, lr=0.175250, batch loss=0.188466, epoch loss=5.052403 Epoch=4, step=6000, lr=0.175250, epoch loss=5.052403 Batch=59, step=6060, lr=0.175000, batch loss=0.238416, epoch loss=0.238416 Batch=119, step=6120, lr=0.174750, batch loss=0.188750, epoch loss=0.427166 Batch=179, step=6180, lr=0.174250, batch loss=0.201198, epoch loss=0.628364 Batch=239, step=6240, lr=0.174250, batch loss=0.300177, epoch loss=0.928541 Batch=299, step=6300, lr=0.174000, batch loss=0.204878, epoch loss=1.133419 Batch=359, step=6360, lr=0.173750, batch loss=0.265579, epoch loss=1.398998 Batch=419, step=6420, lr=0.173500, batch loss=0.261714, epoch loss=1.660711 Batch=479, step=6480, lr=0.173250, batch loss=0.241605, epoch loss=1.902316 Batch=539, step=6540, lr=0.173000, batch loss=0.196331, epoch loss=2.098647 Batch=599, step=6600, lr=0.172500, batch loss=0.232410, epoch loss=2.331057 Batch=659, step=6660, lr=0.172500, batch loss=0.314234, epoch loss=2.645291 Batch=719, step=6720, lr=0.172000, batch loss=0.318352, epoch loss=2.963642 Batch=779, step=6780, lr=0.172000, batch loss=0.335970, epoch loss=3.299612 Batch=839, step=6840, lr=0.171500, batch loss=0.303779, epoch loss=3.603391 Batch=899, step=6900, lr=0.171250, batch loss=0.267669, epoch loss=3.871060 Batch=959, step=6960, lr=0.171000, batch loss=0.212337, epoch loss=4.083397 Batch=1019, step=7020, lr=0.170750, batch loss=0.330298, epoch loss=4.413696 Batch=1079, step=7080, lr=0.170500, batch loss=0.179660, epoch loss=4.593356 Batch=1139, step=7140, lr=0.170250, batch loss=0.216590, epoch loss=4.809946 Batch=1199, step=7200, lr=0.170000, batch loss=0.182551, epoch loss=4.992497 Epoch=5, step=7200, lr=0.170000, epoch loss=4.992497 Batch=59, step=7260, lr=0.169750, batch loss=0.239834, epoch loss=0.239834 Batch=119, step=7320, lr=0.169500, batch loss=0.180106, epoch loss=0.419941 Batch=179, step=7380, lr=0.169250, batch loss=0.195609, epoch loss=0.615550 Batch=239, step=7440, lr=0.169000, batch loss=0.292552, epoch loss=0.908102 Batch=299, step=7500, lr=0.169000, batch loss=0.207000, epoch loss=1.115101 Batch=359, step=7560, lr=0.168500, batch loss=0.261653, epoch loss=1.376754 Batch=419, step=7620, lr=0.168250, batch loss=0.254393, epoch loss=1.631147 Batch=479, step=7680, lr=0.168000, batch loss=0.239446, epoch loss=1.870592 Batch=539, step=7740, lr=0.168000, batch loss=0.185198, epoch loss=2.055791 Batch=599, step=7800, lr=0.167750, batch loss=0.225778, epoch loss=2.281569 Batch=659, step=7860, lr=0.167500, batch loss=0.304504, epoch loss=2.586073 Batch=719, step=7920, lr=0.167000, batch loss=0.309257, epoch loss=2.895330 Batch=779, step=7980, lr=0.167000, batch loss=0.329511, epoch loss=3.224841 Batch=839, step=8040, lr=0.166750, batch loss=0.292391, epoch loss=3.517232 Batch=899, step=8100, lr=0.166250, batch loss=0.263294, epoch loss=3.780526 Batch=959, step=8160, lr=0.166250, batch loss=0.198182, epoch loss=3.978709 Batch=1019, step=8220, lr=0.166000, batch loss=0.322523, epoch loss=4.301232 Batch=1079, step=8280, lr=0.165750, batch loss=0.188069, epoch loss=4.489301 Batch=1139, step=8340, lr=0.165500, batch loss=0.213097, epoch loss=4.702397 Batch=1199, step=8400, lr=0.165000, batch loss=0.172279, epoch loss=4.874676 Epoch=6, step=8400, lr=0.165000, epoch loss=4.874676 Batch=59, step=8460, lr=0.165000, batch loss=0.204741, epoch loss=0.204741 Batch=119, step=8520, lr=0.164750, batch loss=0.170054, epoch loss=0.374795 Batch=179, step=8580, lr=0.164500, batch loss=0.188415, epoch loss=0.563209 Batch=239, step=8640, lr=0.164250, batch loss=0.277204, epoch loss=0.840413 Batch=299, step=8700, lr=0.164000, batch loss=0.193844, epoch loss=1.034257 Batch=359, step=8760, lr=0.163750, batch loss=0.248465, epoch loss=1.282721 Batch=419, step=8820, lr=0.163250, batch loss=0.244889, epoch loss=1.527611 Batch=479, step=8880, lr=0.163250, batch loss=0.228521, epoch loss=1.756132 Batch=539, step=8940, lr=0.162750, batch loss=0.177673, epoch loss=1.933805 Batch=599, step=9000, lr=0.162750, batch loss=0.217564, epoch loss=2.151369 Batch=659, step=9060, lr=0.162500, batch loss=0.294764, epoch loss=2.446133 Batch=719, step=9120, lr=0.162250, batch loss=0.295833, epoch loss=2.741966 Batch=779, step=9180, lr=0.162000, batch loss=0.315834, epoch loss=3.057801 Batch=839, step=9240, lr=0.161750, batch loss=0.287627, epoch loss=3.345428 Batch=899, step=9300, lr=0.161500, batch loss=0.251482, epoch loss=3.596910 Batch=959, step=9360, lr=0.161250, batch loss=0.190345, epoch loss=3.787255 Batch=1019, step=9420, lr=0.161000, batch loss=0.315593, epoch loss=4.102848 Batch=1079, step=9480, lr=0.160750, batch loss=0.187510, epoch loss=4.290358 Batch=1139, step=9540, lr=0.160500, batch loss=0.212122, epoch loss=4.502480 Batch=1199, step=9600, lr=0.160250, batch loss=0.167124, epoch loss=4.669603 Epoch=7, step=9600, lr=0.160250, epoch loss=4.669603 Batch=59, step=9660, lr=0.160000, batch loss=0.202701, epoch loss=0.202701 Batch=119, step=9720, lr=0.159500, batch loss=0.169839, epoch loss=0.372541 Batch=179, step=9780, lr=0.159250, batch loss=0.179492, epoch loss=0.552033 Batch=239, step=9840, lr=0.159000, batch loss=0.262815, epoch loss=0.814847 Batch=299, step=9900, lr=0.159000, batch loss=0.183319, epoch loss=0.998166 Batch=359, step=9960, lr=0.158500, batch loss=0.239350, epoch loss=1.237516 Batch=419, step=10020, lr=0.158250, batch loss=0.233203, epoch loss=1.470719 Batch=479, step=10080, lr=0.158250, batch loss=0.213742, epoch loss=1.684461 Batch=539, step=10140, lr=0.158000, batch loss=0.171482, epoch loss=1.855943 Batch=599, step=10200, lr=0.157750, batch loss=0.201564, epoch loss=2.057507 Batch=659, step=10260, lr=0.157500, batch loss=0.281941, epoch loss=2.339448 Batch=719, step=10320, lr=0.157250, batch loss=0.286495, epoch loss=2.625943 Batch=779, step=10380, lr=0.156750, batch loss=0.295732, epoch loss=2.921675 Batch=839, step=10440, lr=0.156500, batch loss=0.267054, epoch loss=3.188728 Batch=899, step=10500, lr=0.156500, batch loss=0.242805, epoch loss=3.431534 Batch=959, step=10560, lr=0.156000, batch loss=0.197180, epoch loss=3.628714 Batch=1019, step=10620, lr=0.155750, batch loss=0.281243, epoch loss=3.909957 Batch=1079, step=10680, lr=0.155750, batch loss=0.164611, epoch loss=4.074568 Batch=1139, step=10740, lr=0.155500, batch loss=0.186813, epoch loss=4.261381 Batch=1199, step=10800, lr=0.155250, batch loss=0.154515, epoch loss=4.415897 Epoch=8, step=10800, lr=0.155250, epoch loss=4.415897 Batch=59, step=10860, lr=0.154750, batch loss=0.190552, epoch loss=0.190552 Batch=119, step=10920, lr=0.154750, batch loss=0.162897, epoch loss=0.353448 Batch=179, step=10980, lr=0.154250, batch loss=0.167868, epoch loss=0.521317 Batch=239, step=11040, lr=0.154000, batch loss=0.244787, epoch loss=0.766104 Batch=299, step=11100, lr=0.153750, batch loss=0.168132, epoch loss=0.934236 Batch=359, step=11160, lr=0.153500, batch loss=0.224400, epoch loss=1.158636 Batch=419, step=11220, lr=0.153250, batch loss=0.226069, epoch loss=1.384705 Batch=479, step=11280, lr=0.153250, batch loss=0.206065, epoch loss=1.590771 Batch=539, step=11340, lr=0.153000, batch loss=0.157013, epoch loss=1.747783 Batch=599, step=11400, lr=0.152500, batch loss=0.181307, epoch loss=1.929090 Batch=659, step=11460, lr=0.152250, batch loss=0.264653, epoch loss=2.193743 Batch=719, step=11520, lr=0.152250, batch loss=0.258120, epoch loss=2.451863 Batch=779, step=11580, lr=0.152000, batch loss=0.272429, epoch loss=2.724292 Batch=839, step=11640, lr=0.151750, batch loss=0.256935, epoch loss=2.981227 Batch=899, step=11700, lr=0.151500, batch loss=0.212643, epoch loss=3.193870 Batch=959, step=11760, lr=0.151250, batch loss=0.167503, epoch loss=3.361374 Batch=1019, step=11820, lr=0.151000, batch loss=0.268070, epoch loss=3.629444 Batch=1079, step=11880, lr=0.150750, batch loss=0.148484, epoch loss=3.777927 Batch=1139, step=11940, lr=0.150500, batch loss=0.186816, epoch loss=3.964743 Batch=1199, step=12000, lr=0.150000, batch loss=0.139277, epoch loss=4.104021 Epoch=9, step=12000, lr=0.150000, epoch loss=4.104021 Batch=59, step=12060, lr=0.149750, batch loss=0.158325, epoch loss=0.158325 Batch=119, step=12120, lr=0.149500, batch loss=0.128088, epoch loss=0.286413 Batch=179, step=12180, lr=0.149250, batch loss=0.152495, epoch loss=0.438908 Batch=239, step=12240, lr=0.149000, batch loss=0.220376, epoch loss=0.659284 Batch=299, step=12300, lr=0.148750, batch loss=0.138894, epoch loss=0.798178 Batch=359, step=12360, lr=0.148750, batch loss=0.198814, epoch loss=0.996992 Batch=419, step=12420, lr=0.148500, batch loss=0.206257, epoch loss=1.203250 Batch=479, step=12480, lr=0.148250, batch loss=0.180033, epoch loss=1.383283 Batch=539, step=12540, lr=0.147750, batch loss=0.142746, epoch loss=1.526029 Batch=599, step=12600, lr=0.147500, batch loss=0.151878, epoch loss=1.677906 Batch=659, step=12660, lr=0.147500, batch loss=0.224391, epoch loss=1.902298 Batch=719, step=12720, lr=0.147000, batch loss=0.236363, epoch loss=2.138661 Batch=779, step=12780, lr=0.147000, batch loss=0.252313, epoch loss=2.390974 Batch=839, step=12840, lr=0.146750, batch loss=0.223970, epoch loss=2.614944 Batch=899, step=12900, lr=0.146250, batch loss=0.187287, epoch loss=2.802231 Batch=959, step=12960, lr=0.146250, batch loss=0.155325, epoch loss=2.957556 Batch=1019, step=13020, lr=0.146000, batch loss=0.260654, epoch loss=3.218210 Batch=1079, step=13080, lr=0.145500, batch loss=0.117669, epoch loss=3.335879 Batch=1139, step=13140, lr=0.145250, batch loss=0.154445, epoch loss=3.490325 Batch=1199, step=13200, lr=0.145000, batch loss=0.118565, epoch loss=3.608889 Epoch=10, step=13200, lr=0.145000, epoch loss=3.608889 Batch=59, step=13260, lr=0.144750, batch loss=0.143836, epoch loss=0.143836 Batch=119, step=13320, lr=0.144500, batch loss=0.120674, epoch loss=0.264510 Batch=179, step=13380, lr=0.144250, batch loss=0.127641, epoch loss=0.392150 Batch=239, step=13440, lr=0.144250, batch loss=0.188462, epoch loss=0.580612 Batch=299, step=13500, lr=0.143750, batch loss=0.112386, epoch loss=0.692998 Batch=359, step=13560, lr=0.143500, batch loss=0.163063, epoch loss=0.856061 Batch=419, step=13620, lr=0.143250, batch loss=0.183018, epoch loss=1.039079 Batch=479, step=13680, lr=0.143250, batch loss=0.137846, epoch loss=1.176925 Batch=539, step=13740, lr=0.142750, batch loss=0.118636, epoch loss=1.295560 Batch=599, step=13800, lr=0.142500, batch loss=0.120629, epoch loss=1.416189 Batch=659, step=13860, lr=0.142250, batch loss=0.177138, epoch loss=1.593327 Batch=719, step=13920, lr=0.142000, batch loss=0.179218, epoch loss=1.772545 Batch=779, step=13980, lr=0.141750, batch loss=0.197551, epoch loss=1.970096 Batch=839, step=14040, lr=0.141500, batch loss=0.188385, epoch loss=2.158481 Batch=899, step=14100, lr=0.141250, batch loss=0.157711, epoch loss=2.316193 Batch=959, step=14160, lr=0.141000, batch loss=0.134742, epoch loss=2.450935 Batch=1019, step=14220, lr=0.140750, batch loss=0.285725, epoch loss=2.736660 Batch=1079, step=14280, lr=0.140750, batch loss=0.086370, epoch loss=2.823029 Batch=1139, step=14340, lr=0.140250, batch loss=0.132534, epoch loss=2.955564 Batch=1199, step=14400, lr=0.140250, batch loss=0.094837, epoch loss=3.050400 Epoch=11, step=14400, lr=0.140250, epoch loss=3.050400 Batch=59, step=14460, lr=0.139750, batch loss=0.116573, epoch loss=0.116573 Batch=119, step=14520, lr=0.139500, batch loss=0.107160, epoch loss=0.223734 Batch=179, step=14580, lr=0.139500, batch loss=0.105354, epoch loss=0.329088 Batch=239, step=14640, lr=0.139000, batch loss=0.141211, epoch loss=0.470299 Batch=299, step=14700, lr=0.139000, batch loss=0.080188, epoch loss=0.550487 Batch=359, step=14760, lr=0.138750, batch loss=0.118373, epoch loss=0.668861 Batch=419, step=14820, lr=0.138500, batch loss=0.126182, epoch loss=0.795043 Batch=479, step=14880, lr=0.138000, batch loss=0.103012, epoch loss=0.898054 Batch=539, step=14940, lr=0.138000, batch loss=0.107174, epoch loss=1.005228 Batch=599, step=15000, lr=0.137500, batch loss=0.085762, epoch loss=1.090990 Batch=659, step=15060, lr=0.137250, batch loss=0.131080, epoch loss=1.222070 Batch=719, step=15120, lr=0.137250, batch loss=0.119361, epoch loss=1.341431 Batch=779, step=15180, lr=0.137000, batch loss=0.118259, epoch loss=1.459690 Batch=839, step=15240, lr=0.136500, batch loss=0.125507, epoch loss=1.585197 Batch=899, step=15300, lr=0.136500, batch loss=0.126522, epoch loss=1.711719 Batch=959, step=15360, lr=0.136000, batch loss=0.140984, epoch loss=1.852703 Batch=1019, step=15420, lr=0.135750, batch loss=0.432848, epoch loss=2.285551 Batch=1079, step=15480, lr=0.135500, batch loss=0.037826, epoch loss=2.323377 Batch=1139, step=15540, lr=0.135250, batch loss=0.076412, epoch loss=2.399789 Batch=1199, step=15600, lr=0.135000, batch loss=0.066731, epoch loss=2.466520 Epoch=12, step=15600, lr=0.135000, epoch loss=2.466520 Batch=59, step=15660, lr=0.134750, batch loss=0.073344, epoch loss=0.073344 Batch=119, step=15720, lr=0.134500, batch loss=0.078495, epoch loss=0.151839 Batch=179, step=15780, lr=0.134250, batch loss=0.079768, epoch loss=0.231607 Batch=239, step=15840, lr=0.134000, batch loss=0.098192, epoch loss=0.329799 Batch=299, step=15900, lr=0.134000, batch loss=0.067459, epoch loss=0.397258 Batch=359, step=15960, lr=0.133500, batch loss=0.085330, epoch loss=0.482588 Batch=419, step=16020, lr=0.133250, batch loss=0.098635, epoch loss=0.581223 Batch=479, step=16080, lr=0.133250, batch loss=0.047345, epoch loss=0.628568 Batch=539, step=16140, lr=0.133000, batch loss=0.045773, epoch loss=0.674341 Batch=599, step=16200, lr=0.132750, batch loss=0.053437, epoch loss=0.727778 Batch=659, step=16260, lr=0.132250, batch loss=0.075893, epoch loss=0.803671 Batch=719, step=16320, lr=0.132000, batch loss=0.107372, epoch loss=0.911043 Batch=779, step=16380, lr=0.131750, batch loss=0.239713, epoch loss=1.150756 Batch=839, step=16440, lr=0.131750, batch loss=0.092419, epoch loss=1.243175 Batch=899, step=16500, lr=0.131250, batch loss=0.083858, epoch loss=1.327033 Batch=959, step=16560, lr=0.131000, batch loss=0.039349, epoch loss=1.366382 Batch=1019, step=16620, lr=0.131000, batch loss=0.096773, epoch loss=1.463154 Batch=1079, step=16680, lr=0.130750, batch loss=0.034455, epoch loss=1.497609 Batch=1139, step=16740, lr=0.130500, batch loss=0.073433, epoch loss=1.571043 Batch=1199, step=16800, lr=0.130000, batch loss=0.033327, epoch loss=1.604370 Epoch=13, step=16800, lr=0.130000, epoch loss=1.604370 Batch=59, step=16860, lr=0.130000, batch loss=0.032968, epoch loss=0.032968 Batch=119, step=16920, lr=0.129500, batch loss=0.035361, epoch loss=0.068330 Batch=179, step=16980, lr=0.129500, batch loss=0.041803, epoch loss=0.110133 Batch=239, step=17040, lr=0.129250, batch loss=0.053120, epoch loss=0.163253 Batch=299, step=17100, lr=0.129000, batch loss=0.020374, epoch loss=0.183626 Batch=359, step=17160, lr=0.128750, batch loss=0.046503, epoch loss=0.230130 Batch=419, step=17220, lr=0.128500, batch loss=0.046054, epoch loss=0.276183 Batch=479, step=17280, lr=0.128250, batch loss=0.024330, epoch loss=0.300513 Batch=539, step=17340, lr=0.128000, batch loss=0.033520, epoch loss=0.334033 Batch=599, step=17400, lr=0.127750, batch loss=0.034352, epoch loss=0.368385 Batch=659, step=17460, lr=0.127500, batch loss=0.044526, epoch loss=0.412911 Batch=719, step=17520, lr=0.127250, batch loss=0.051215, epoch loss=0.464126 Batch=779, step=17580, lr=0.127000, batch loss=0.106597, epoch loss=0.570724 Batch=839, step=17640, lr=0.126750, batch loss=0.113578, epoch loss=0.684302 Batch=899, step=17700, lr=0.126500, batch loss=0.176434, epoch loss=0.860736 Batch=959, step=17760, lr=0.126250, batch loss=0.020140, epoch loss=0.880876 Batch=1019, step=17820, lr=0.126000, batch loss=0.034704, epoch loss=0.915580 Batch=1079, step=17880, lr=0.125750, batch loss=0.014317, epoch loss=0.929897 Batch=1139, step=17940, lr=0.125500, batch loss=0.043029, epoch loss=0.972926 Batch=1199, step=18000, lr=0.125250, batch loss=0.016389, epoch loss=0.989315 Epoch=14, step=18000, lr=0.125250, epoch loss=0.989315 Batch=59, step=18060, lr=0.125000, batch loss=0.015412, epoch loss=0.015412 Batch=119, step=18120, lr=0.124750, batch loss=0.026121, epoch loss=0.041533 Batch=179, step=18180, lr=0.124500, batch loss=0.066965, epoch loss=0.108499 Batch=239, step=18240, lr=0.124250, batch loss=0.038741, epoch loss=0.147239 Batch=299, step=18300, lr=0.124000, batch loss=0.015231, epoch loss=0.162470 Batch=359, step=18360, lr=0.123750, batch loss=0.042918, epoch loss=0.205388 Batch=419, step=18420, lr=0.123500, batch loss=0.031856, epoch loss=0.237243 Batch=479, step=18480, lr=0.123250, batch loss=0.018707, epoch loss=0.255950 Batch=539, step=18540, lr=0.123000, batch loss=0.026375, epoch loss=0.282325 Batch=599, step=18600, lr=0.122750, batch loss=0.025485, epoch loss=0.307810 Batch=659, step=18660, lr=0.122500, batch loss=0.029919, epoch loss=0.337729 Batch=719, step=18720, lr=0.122250, batch loss=0.030649, epoch loss=0.368378 Batch=779, step=18780, lr=0.122000, batch loss=0.078390, epoch loss=0.446768 Batch=839, step=18840, lr=0.121750, batch loss=0.051875, epoch loss=0.498643 Batch=899, step=18900, lr=0.121500, batch loss=0.050887, epoch loss=0.549529 Batch=959, step=18960, lr=0.121250, batch loss=0.013705, epoch loss=0.563234 Batch=1019, step=19020, lr=0.121000, batch loss=0.025200, epoch loss=0.588434 Batch=1079, step=19080, lr=0.120500, batch loss=0.011375, epoch loss=0.599810 Batch=1139, step=19140, lr=0.120500, batch loss=0.023843, epoch loss=0.623653 Batch=1199, step=19200, lr=0.120250, batch loss=0.009510, epoch loss=0.633163 Epoch=15, step=19200, lr=0.120250, epoch loss=0.633163 Batch=59, step=19260, lr=0.120000, batch loss=0.004958, epoch loss=0.004958 Batch=119, step=19320, lr=0.119750, batch loss=0.020548, epoch loss=0.025506 Batch=179, step=19380, lr=0.119500, batch loss=0.057484, epoch loss=0.082990 Batch=239, step=19440, lr=0.119250, batch loss=0.025263, epoch loss=0.108252 Batch=299, step=19500, lr=0.119000, batch loss=0.015164, epoch loss=0.123417 Batch=359, step=19560, lr=0.118750, batch loss=0.035785, epoch loss=0.159202 Batch=419, step=19620, lr=0.118500, batch loss=0.021742, epoch loss=0.180944 Batch=479, step=19680, lr=0.118250, batch loss=0.008942, epoch loss=0.189886 Batch=539, step=19740, lr=0.118000, batch loss=0.018033, epoch loss=0.207919 Batch=599, step=19800, lr=0.117750, batch loss=0.024129, epoch loss=0.232048 Batch=659, step=19860, lr=0.117500, batch loss=0.021297, epoch loss=0.253345 Batch=719, step=19920, lr=0.117250, batch loss=0.050263, epoch loss=0.303609 Batch=779, step=19980, lr=0.117000, batch loss=0.086196, epoch loss=0.389805 Batch=839, step=20040, lr=0.116750, batch loss=0.031442, epoch loss=0.421247 Batch=899, step=20100, lr=0.116500, batch loss=0.031192, epoch loss=0.452440 Batch=959, step=20160, lr=0.116250, batch loss=0.011428, epoch loss=0.463867 Batch=1019, step=20220, lr=0.116000, batch loss=0.015020, epoch loss=0.478887 Batch=1079, step=20280, lr=0.115750, batch loss=0.002034, epoch loss=0.480920 Batch=1139, step=20340, lr=0.115500, batch loss=0.015169, epoch loss=0.496089 Batch=1199, step=20400, lr=0.115250, batch loss=0.005483, epoch loss=0.501573 Epoch=16, step=20400, lr=0.115250, epoch loss=0.501573 Batch=59, step=20460, lr=0.115000, batch loss=0.003191, epoch loss=0.003191 Batch=119, step=20520, lr=0.114750, batch loss=0.010039, epoch loss=0.013230 Batch=179, step=20580, lr=0.114500, batch loss=0.027041, epoch loss=0.040270 Batch=239, step=20640, lr=0.114250, batch loss=0.014013, epoch loss=0.054283 Batch=299, step=20700, lr=0.114000, batch loss=0.003009, epoch loss=0.057292 Batch=359, step=20760, lr=0.113750, batch loss=0.013120, epoch loss=0.070411 Batch=419, step=20820, lr=0.113500, batch loss=0.014975, epoch loss=0.085387 Batch=479, step=20880, lr=0.113250, batch loss=0.004667, epoch loss=0.090054 Batch=539, step=20940, lr=0.113000, batch loss=0.015921, epoch loss=0.105974 Batch=599, step=21000, lr=0.112750, batch loss=0.018367, epoch loss=0.124342 Batch=659, step=21060, lr=0.112500, batch loss=0.015375, epoch loss=0.139717 Batch=719, step=21120, lr=0.112250, batch loss=0.042145, epoch loss=0.181863 Batch=779, step=21180, lr=0.111750, batch loss=0.072950, epoch loss=0.254813 Batch=839, step=21240, lr=0.111500, batch loss=0.026043, epoch loss=0.280856 Batch=899, step=21300, lr=0.111250, batch loss=0.027150, epoch loss=0.308007 Batch=959, step=21360, lr=0.111250, batch loss=0.009930, epoch loss=0.317936 Batch=1019, step=21420, lr=0.110750, batch loss=0.011890, epoch loss=0.329826 Batch=1079, step=21480, lr=0.110500, batch loss=0.000778, epoch loss=0.330604 Batch=1139, step=21540, lr=0.110500, batch loss=0.013233, epoch loss=0.343837 Batch=1199, step=21600, lr=0.110000, batch loss=0.005217, epoch loss=0.349054 Epoch=17, step=21600, lr=0.110000, epoch loss=0.349054 Batch=59, step=21660, lr=0.109750, batch loss=0.002778, epoch loss=0.002778 Batch=119, step=21720, lr=0.109500, batch loss=0.006585, epoch loss=0.009363 Batch=179, step=21780, lr=0.109500, batch loss=0.012978, epoch loss=0.022341 Batch=239, step=21840, lr=0.109250, batch loss=0.009408, epoch loss=0.031750 Batch=299, step=21900, lr=0.109000, batch loss=0.012973, epoch loss=0.044723 Batch=359, step=21960, lr=0.108750, batch loss=0.013300, epoch loss=0.058023 Batch=419, step=22020, lr=0.108500, batch loss=0.012038, epoch loss=0.070061 Batch=479, step=22080, lr=0.108250, batch loss=0.002973, epoch loss=0.073034 Batch=539, step=22140, lr=0.108000, batch loss=0.019768, epoch loss=0.092801 Batch=599, step=22200, lr=0.107750, batch loss=0.016415, epoch loss=0.109216 Batch=659, step=22260, lr=0.107500, batch loss=0.015925, epoch loss=0.125142 Batch=719, step=22320, lr=0.107250, batch loss=0.023578, epoch loss=0.148719 Batch=779, step=22380, lr=0.107000, batch loss=0.038106, epoch loss=0.186826 Batch=839, step=22440, lr=0.106750, batch loss=0.020980, epoch loss=0.207806 Batch=899, step=22500, lr=0.106500, batch loss=0.027271, epoch loss=0.235077 Batch=959, step=22560, lr=0.106250, batch loss=0.009263, epoch loss=0.244340 Batch=1019, step=22620, lr=0.106000, batch loss=0.010321, epoch loss=0.254660 Batch=1079, step=22680, lr=0.105500, batch loss=0.000389, epoch loss=0.255050 Batch=1139, step=22740, lr=0.105500, batch loss=0.010528, epoch loss=0.265577 Batch=1199, step=22800, lr=0.105250, batch loss=0.004160, epoch loss=0.269737 Epoch=18, step=22800, lr=0.105250, epoch loss=0.269737 Batch=59, step=22860, lr=0.104750, batch loss=0.001583, epoch loss=0.001583 Batch=119, step=22920, lr=0.104750, batch loss=0.005816, epoch loss=0.007399 Batch=179, step=22980, lr=0.104500, batch loss=0.010716, epoch loss=0.018115 Batch=239, step=23040, lr=0.104250, batch loss=0.009666, epoch loss=0.027781 Batch=299, step=23100, lr=0.104000, batch loss=0.011150, epoch loss=0.038931 Batch=359, step=23160, lr=0.103750, batch loss=0.011649, epoch loss=0.050580 Batch=419, step=23220, lr=0.103250, batch loss=0.010549, epoch loss=0.061129 Batch=479, step=23280, lr=0.103000, batch loss=0.002740, epoch loss=0.063869 Batch=539, step=23340, lr=0.102750, batch loss=0.017456, epoch loss=0.081325 Batch=599, step=23400, lr=0.102750, batch loss=0.013623, epoch loss=0.094948 Batch=659, step=23460, lr=0.102500, batch loss=0.011263, epoch loss=0.106211 Batch=719, step=23520, lr=0.102250, batch loss=0.010316, epoch loss=0.116527 Batch=779, step=23580, lr=0.101750, batch loss=0.018825, epoch loss=0.135352 Batch=839, step=23640, lr=0.101500, batch loss=0.028261, epoch loss=0.163613 Batch=899, step=23700, lr=0.101500, batch loss=0.020848, epoch loss=0.184461 Batch=959, step=23760, lr=0.101250, batch loss=0.010158, epoch loss=0.194619 Batch=1019, step=23820, lr=0.101000, batch loss=0.009784, epoch loss=0.204403 Batch=1079, step=23880, lr=0.100750, batch loss=0.001123, epoch loss=0.205525 Batch=1139, step=23940, lr=0.100500, batch loss=0.009362, epoch loss=0.214888 Batch=1199, step=24000, lr=0.100250, batch loss=0.004784, epoch loss=0.219672 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219672 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:29.27 ---> saved as "221bc6a40a611c8a6a1e2cb15073bea425a7addcb06a5c4b60b34253f7227353" Job succeeded 2025-03-21 16:29.29: Job succeeded