2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard ccaf459c cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-20 21:04.47: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:17.00: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-20 21:17.49 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 21:17.49 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /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 2025-03-20 21:19.08 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-20 21:19.08 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:19.08 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /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 a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:20.14 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:20.15 ---> saved as "b68856cc9fdb5adde2f44cb80bd2b7d98628491444092dc1e4cb5c2b933834ac" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 21:20.20 ---> saved as "8f98fdff0f4a9126e2dae3bfaee5ea787e82f9284ad1f673addd07cc348ca6ca" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:20.20 ---> saved as "d439651848c11ffde7654c863f03bda63ab79e9ab72a318c9e8cf2c6fca47186" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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" - Hit:1 http://deb.debian.org/debian bookworm InRelease - 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-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 0s (823 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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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+deb12u10) ... 2025-03-20 21:20.49 ---> saved as "26683538ca59c0b8cdaafd23e2d04c07b87e15b3b98bb56fc3637e9ee7a37871" /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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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 v0.17.0 - 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 angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (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 ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> 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 uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed 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_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed 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.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:23.12 ---> saved as "3e5792a3c33a71366692cd31550bb58637ff47145c556a161daabbb4d2ef136a" /src: (copy (src .) (dst /src)) 2025-03-20 21:23.13 ---> saved as "569f6f439d49f9d32a476defb5f24019c7abff92b649881a0b39ac9617c13b03" /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/63776043acbbf04b0d13985462265635/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/3afa83330d192f7ef97e8c318d5f9e96/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/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=0.198750, batch loss=1.336864, epoch loss=38.399751 Batch=419, step=420, lr=0.198250, batch loss=0.615027, epoch loss=39.014778 Batch=479, step=480, lr=0.198000, batch loss=0.793652, epoch loss=39.808430 Batch=539, step=540, lr=0.197750, batch loss=0.653487, epoch loss=40.461917 Batch=599, step=600, lr=0.197500, batch loss=1.082964, epoch loss=41.544881 Batch=659, step=660, lr=0.197250, batch loss=0.482792, epoch loss=42.027673 Batch=719, step=720, lr=0.197000, batch loss=0.412537, epoch loss=42.440210 Batch=779, step=780, lr=0.196750, batch loss=0.470801, epoch loss=42.911011 Batch=839, step=840, lr=0.196500, batch loss=0.445245, epoch loss=43.356256 Batch=899, step=900, lr=0.196250, batch loss=0.386288, epoch loss=43.742544 Batch=959, step=960, lr=0.196000, batch loss=0.250914, epoch loss=43.993458 Batch=1019, step=1020, lr=0.196000, batch loss=0.472111, epoch loss=44.465569 Batch=1079, step=1080, lr=0.195500, batch loss=0.247234, epoch loss=44.712803 Batch=1139, step=1140, lr=0.195250, batch loss=0.319288, epoch loss=45.032091 Batch=1199, step=1200, lr=0.195000, batch loss=0.265834, epoch loss=45.297925 Epoch=0, step=1200, lr=0.195000, epoch loss=45.297925 Batch=59, step=1260, lr=0.195000, batch loss=0.264302, epoch loss=0.264302 Batch=119, step=1320, lr=0.194500, batch loss=0.206300, epoch loss=0.470601 Batch=179, step=1380, lr=0.194250, batch loss=0.247350, epoch loss=0.717951 Batch=239, step=1440, lr=0.194250, batch loss=0.353880, epoch loss=1.071832 Batch=299, step=1500, lr=0.193750, batch loss=0.237634, epoch loss=1.309466 Batch=359, step=1560, lr=0.193750, batch loss=0.315305, epoch loss=1.624771 Batch=419, step=1620, lr=0.193250, batch loss=0.309352, epoch loss=1.934123 Batch=479, step=1680, lr=0.193250, batch loss=0.274662, epoch loss=2.208785 Batch=539, step=1740, lr=0.192750, batch loss=0.210952, epoch loss=2.419737 Batch=599, step=1800, lr=0.192500, batch loss=0.251576, epoch loss=2.671314 Batch=659, step=1860, lr=0.192250, batch loss=0.368724, epoch loss=3.040038 Batch=719, step=1920, lr=0.192250, batch loss=0.358855, epoch loss=3.398892 Batch=779, step=1980, lr=0.191750, batch loss=0.389129, epoch loss=3.788021 Batch=839, step=2040, lr=0.191750, batch loss=0.348135, epoch loss=4.136156 Batch=899, step=2100, lr=0.191500, batch loss=0.329076, epoch loss=4.465232 Batch=959, step=2160, lr=0.191250, batch loss=0.255855, epoch loss=4.721087 Batch=1019, step=2220, lr=0.191000, batch loss=0.394593, epoch loss=5.115679 Batch=1079, step=2280, lr=0.190750, batch loss=0.218919, epoch loss=5.334598 Batch=1139, step=2340, lr=0.190500, batch loss=0.266604, epoch loss=5.601202 Batch=1199, step=2400, lr=0.190250, batch loss=0.213310, epoch loss=5.814512 Epoch=1, step=2400, lr=0.190250, epoch loss=5.814512 Batch=59, step=2460, lr=0.190000, batch loss=0.234931, epoch loss=0.234931 Batch=119, step=2520, lr=0.189500, batch loss=0.196965, epoch loss=0.431896 Batch=179, step=2580, lr=0.189250, batch loss=0.222983, epoch loss=0.654879 Batch=239, step=2640, lr=0.189250, batch loss=0.331133, epoch loss=0.986011 Batch=299, step=2700, lr=0.189000, batch loss=0.206656, epoch loss=1.192667 Batch=359, step=2760, lr=0.188500, batch loss=0.294081, epoch loss=1.486748 Batch=419, step=2820, lr=0.188250, batch loss=0.283442, epoch loss=1.770190 Batch=479, step=2880, lr=0.188000, batch loss=0.259155, epoch loss=2.029345 Batch=539, step=2940, lr=0.188000, batch loss=0.197939, epoch loss=2.227284 Batch=599, step=3000, lr=0.187750, batch loss=0.238804, epoch loss=2.466088 Batch=659, step=3060, lr=0.187250, batch loss=0.344898, epoch loss=2.810986 Batch=719, step=3120, lr=0.187000, batch loss=0.346084, epoch loss=3.157070 Batch=779, step=3180, lr=0.186750, batch loss=0.366700, epoch loss=3.523770 Batch=839, step=3240, lr=0.186750, batch loss=0.325617, epoch loss=3.849388 Batch=899, step=3300, lr=0.186250, batch loss=0.287733, epoch loss=4.137121 Batch=959, step=3360, lr=0.186250, batch loss=0.214489, epoch loss=4.351609 Batch=1019, step=3420, lr=0.186000, batch loss=0.304464, epoch loss=4.656073 Batch=1079, step=3480, lr=0.185750, batch loss=0.170367, epoch loss=4.826440 Batch=1139, step=3540, lr=0.185250, batch loss=0.230547, epoch loss=5.056987 Batch=1199, step=3600, lr=0.185000, batch loss=0.199079, epoch loss=5.256066 Epoch=2, step=3600, lr=0.185000, epoch loss=5.256066 Batch=59, step=3660, lr=0.184750, batch loss=0.231953, epoch loss=0.231953 Batch=119, step=3720, lr=0.184750, batch loss=0.199650, epoch loss=0.431602 Batch=179, step=3780, lr=0.184500, batch loss=0.211023, epoch loss=0.642625 Batch=239, step=3840, lr=0.184250, batch loss=0.317403, epoch loss=0.960028 Batch=299, step=3900, lr=0.184000, batch loss=0.203138, epoch loss=1.163166 Batch=359, step=3960, lr=0.183750, batch loss=0.282797, epoch loss=1.445963 Batch=419, step=4020, lr=0.183500, batch loss=0.272944, epoch loss=1.718907 Batch=479, step=4080, lr=0.183250, batch loss=0.254509, epoch loss=1.973416 Batch=539, step=4140, lr=0.183000, batch loss=0.202358, epoch loss=2.175774 Batch=599, step=4200, lr=0.182750, batch loss=0.254576, epoch loss=2.430350 Batch=659, step=4260, lr=0.182500, batch loss=0.345214, epoch loss=2.775564 Batch=719, step=4320, lr=0.182250, batch loss=0.347496, epoch loss=3.123060 Batch=779, step=4380, lr=0.182000, batch loss=0.347325, epoch loss=3.470385 Batch=839, step=4440, lr=0.181750, batch loss=0.318144, epoch loss=3.788530 Batch=899, step=4500, lr=0.181500, batch loss=0.285509, epoch loss=4.074039 Batch=959, step=4560, lr=0.181250, batch loss=0.240772, epoch loss=4.314810 Batch=1019, step=4620, lr=0.181000, batch loss=0.331509, epoch loss=4.646319 Batch=1079, step=4680, lr=0.180750, batch loss=0.198796, epoch loss=4.845115 Batch=1139, step=4740, lr=0.180500, batch loss=0.240409, epoch loss=5.085524 Batch=1199, step=4800, lr=0.180250, batch loss=0.192186, epoch loss=5.277710 Epoch=3, step=4800, lr=0.180250, epoch loss=5.277710 Batch=59, step=4860, lr=0.180000, batch loss=0.224693, epoch loss=0.224693 Batch=119, step=4920, lr=0.179750, batch loss=0.186854, epoch loss=0.411547 Batch=179, step=4980, lr=0.179500, batch loss=0.205929, epoch loss=0.617476 Batch=239, step=5040, lr=0.179250, batch loss=0.309337, epoch loss=0.926813 Batch=299, step=5100, lr=0.179000, batch loss=0.205798, epoch loss=1.132611 Batch=359, step=5160, lr=0.178750, batch loss=0.277503, epoch loss=1.410114 Batch=419, step=5220, lr=0.178500, batch loss=0.275172, epoch loss=1.685287 Batch=479, step=5280, lr=0.178250, batch loss=0.246872, epoch loss=1.932158 Batch=539, step=5340, lr=0.178000, batch loss=0.192609, epoch loss=2.124768 Batch=599, step=5400, lr=0.177750, batch loss=0.226407, epoch loss=2.351175 Batch=659, step=5460, lr=0.177500, batch loss=0.326696, epoch loss=2.677871 Batch=719, step=5520, lr=0.177250, batch loss=0.334262, epoch loss=3.012132 Batch=779, step=5580, lr=0.177000, batch loss=0.344515, epoch loss=3.356647 Batch=839, step=5640, lr=0.176500, batch loss=0.309047, epoch loss=3.665694 Batch=899, step=5700, lr=0.176500, batch loss=0.272483, epoch loss=3.938177 Batch=959, step=5760, lr=0.176250, batch loss=0.216210, epoch loss=4.154388 Batch=1019, step=5820, lr=0.175750, batch loss=0.340338, epoch loss=4.494725 Batch=1079, step=5880, lr=0.175750, batch loss=0.204281, epoch loss=4.699006 Batch=1139, step=5940, lr=0.175500, batch loss=0.241149, epoch loss=4.940155 Batch=1199, step=6000, lr=0.175250, batch loss=0.187765, epoch loss=5.127920 Epoch=4, step=6000, lr=0.175250, epoch loss=5.127920 Batch=59, step=6060, lr=0.175000, batch loss=0.232288, epoch loss=0.232288 Batch=119, step=6120, lr=0.174750, batch loss=0.192530, epoch loss=0.424818 Batch=179, step=6180, lr=0.174500, batch loss=0.202235, epoch loss=0.627053 Batch=239, step=6240, lr=0.174250, batch loss=0.302306, epoch loss=0.929359 Batch=299, step=6300, lr=0.173750, batch loss=0.206014, epoch loss=1.135373 Batch=359, step=6360, lr=0.173750, batch loss=0.267469, epoch loss=1.402842 Batch=419, step=6420, lr=0.173500, batch loss=0.261150, epoch loss=1.663992 Batch=479, step=6480, lr=0.173250, batch loss=0.237470, epoch loss=1.901462 Batch=539, step=6540, lr=0.173000, batch loss=0.189052, epoch loss=2.090514 Batch=599, step=6600, lr=0.172750, batch loss=0.225843, epoch loss=2.316357 Batch=659, step=6660, lr=0.172250, batch loss=0.316666, epoch loss=2.633023 Batch=719, step=6720, lr=0.172000, batch loss=0.314576, epoch loss=2.947599 Batch=779, step=6780, lr=0.172000, batch loss=0.332853, epoch loss=3.280452 Batch=839, step=6840, lr=0.171750, batch loss=0.304058, epoch loss=3.584509 Batch=899, step=6900, lr=0.171250, batch loss=0.267305, epoch loss=3.851814 Batch=959, step=6960, lr=0.171250, batch loss=0.211380, epoch loss=4.063194 Batch=1019, step=7020, lr=0.171000, batch loss=0.333046, epoch loss=4.396241 Batch=1079, step=7080, lr=0.170750, batch loss=0.193116, epoch loss=4.589357 Batch=1139, step=7140, lr=0.170500, batch loss=0.233227, epoch loss=4.822584 Batch=1199, step=7200, lr=0.170250, batch loss=0.180837, epoch loss=5.003422 Epoch=5, step=7200, lr=0.170250, epoch loss=5.003422 Batch=59, step=7260, lr=0.170000, batch loss=0.223532, epoch loss=0.223532 Batch=119, step=7320, lr=0.169750, batch loss=0.183274, epoch loss=0.406806 Batch=179, step=7380, lr=0.169500, batch loss=0.196815, epoch loss=0.603621 Batch=239, step=7440, lr=0.169250, batch loss=0.291298, epoch loss=0.894919 Batch=299, step=7500, lr=0.169000, batch loss=0.202544, epoch loss=1.097462 Batch=359, step=7560, lr=0.168750, batch loss=0.257253, epoch loss=1.354716 Batch=419, step=7620, lr=0.168500, batch loss=0.253029, epoch loss=1.607745 Batch=479, step=7680, lr=0.168250, batch loss=0.233820, epoch loss=1.841565 Batch=539, step=7740, lr=0.168000, batch loss=0.190836, epoch loss=2.032402 Batch=599, step=7800, lr=0.167750, batch loss=0.221622, epoch loss=2.254024 Batch=659, step=7860, lr=0.167500, batch loss=0.307941, epoch loss=2.561965 Batch=719, step=7920, lr=0.167250, batch loss=0.308445, epoch loss=2.870410 Batch=779, step=7980, lr=0.166750, batch loss=0.323505, epoch loss=3.193915 Batch=839, step=8040, lr=0.166500, batch loss=0.297422, epoch loss=3.491337 Batch=899, step=8100, lr=0.166500, batch loss=0.265867, epoch loss=3.757204 Batch=959, step=8160, lr=0.166000, batch loss=0.222416, epoch loss=3.979620 Batch=1019, step=8220, lr=0.165750, batch loss=0.309497, epoch loss=4.289117 Batch=1079, step=8280, lr=0.165750, batch loss=0.178286, epoch loss=4.467402 Batch=1139, step=8340, lr=0.165500, batch loss=0.208889, epoch loss=4.676291 Batch=1199, step=8400, lr=0.165000, batch loss=0.181076, epoch loss=4.857367 Epoch=6, step=8400, lr=0.165000, epoch loss=4.857367 Batch=59, step=8460, lr=0.165000, batch loss=0.223774, epoch loss=0.223774 Batch=119, step=8520, lr=0.164750, batch loss=0.179337, epoch loss=0.403111 Batch=179, step=8580, lr=0.164500, batch loss=0.188373, epoch loss=0.591484 Batch=239, step=8640, lr=0.164250, batch loss=0.278564, epoch loss=0.870048 Batch=299, step=8700, lr=0.163750, batch loss=0.190170, epoch loss=1.060218 Batch=359, step=8760, lr=0.163750, batch loss=0.244236, epoch loss=1.304454 Batch=419, step=8820, lr=0.163250, batch loss=0.239477, epoch loss=1.543931 Batch=479, step=8880, lr=0.163250, batch loss=0.214515, epoch loss=1.758446 Batch=539, step=8940, lr=0.163000, batch loss=0.178967, epoch loss=1.937413 Batch=599, step=9000, lr=0.162750, batch loss=0.219774, epoch loss=2.157187 Batch=659, step=9060, lr=0.162500, batch loss=0.293750, epoch loss=2.450937 Batch=719, step=9120, lr=0.162250, batch loss=0.294565, epoch loss=2.745502 Batch=779, step=9180, lr=0.162000, batch loss=0.315455, epoch loss=3.060957 Batch=839, step=9240, lr=0.161500, batch loss=0.287587, epoch loss=3.348543 Batch=899, step=9300, lr=0.161250, batch loss=0.251779, epoch loss=3.600323 Batch=959, step=9360, lr=0.161250, batch loss=0.190973, epoch loss=3.791296 Batch=1019, step=9420, lr=0.161000, batch loss=0.316936, epoch loss=4.108232 Batch=1079, step=9480, lr=0.160500, batch loss=0.203080, epoch loss=4.311312 Batch=1139, step=9540, lr=0.160500, batch loss=0.211441, epoch loss=4.522752 Batch=1199, step=9600, lr=0.160250, batch loss=0.167406, epoch loss=4.690158 Epoch=7, step=9600, lr=0.160250, epoch loss=4.690158 Batch=59, step=9660, lr=0.160000, batch loss=0.194165, epoch loss=0.194165 Batch=119, step=9720, lr=0.159750, batch loss=0.163207, epoch loss=0.357372 Batch=179, step=9780, lr=0.159500, batch loss=0.178555, epoch loss=0.535928 Batch=239, step=9840, lr=0.159250, batch loss=0.263663, epoch loss=0.799590 Batch=299, step=9900, lr=0.159000, batch loss=0.181519, epoch loss=0.981109 Batch=359, step=9960, lr=0.158750, batch loss=0.234569, epoch loss=1.215679 Batch=419, step=10020, lr=0.158500, batch loss=0.231641, epoch loss=1.447320 Batch=479, step=10080, lr=0.158250, batch loss=0.216082, epoch loss=1.663401 Batch=539, step=10140, lr=0.158000, batch loss=0.169071, epoch loss=1.832472 Batch=599, step=10200, lr=0.157750, batch loss=0.204952, epoch loss=2.037425 Batch=659, step=10260, lr=0.157500, batch loss=0.280946, epoch loss=2.318370 Batch=719, step=10320, lr=0.157000, batch loss=0.281288, epoch loss=2.599658 Batch=779, step=10380, lr=0.157000, batch loss=0.297623, epoch loss=2.897282 Batch=839, step=10440, lr=0.156750, batch loss=0.273603, epoch loss=3.170885 Batch=899, step=10500, lr=0.156500, batch loss=0.237764, epoch loss=3.408648 Batch=959, step=10560, lr=0.156250, batch loss=0.191093, epoch loss=3.599741 Batch=1019, step=10620, lr=0.156000, batch loss=0.289220, epoch loss=3.888961 Batch=1079, step=10680, lr=0.155750, batch loss=0.188173, epoch loss=4.077134 Batch=1139, step=10740, lr=0.155500, batch loss=0.201807, epoch loss=4.278942 Batch=1199, step=10800, lr=0.155000, batch loss=0.156442, epoch loss=4.435384 Epoch=8, step=10800, lr=0.155000, epoch loss=4.435384 Batch=59, step=10860, lr=0.154750, batch loss=0.178064, epoch loss=0.178064 Batch=119, step=10920, lr=0.154750, batch loss=0.153771, epoch loss=0.331835 Batch=179, step=10980, lr=0.154250, batch loss=0.167698, epoch loss=0.499532 Batch=239, step=11040, lr=0.154250, batch loss=0.247379, epoch loss=0.746912 Batch=299, step=11100, lr=0.154000, batch loss=0.161469, epoch loss=0.908381 Batch=359, step=11160, lr=0.153500, batch loss=0.227893, epoch loss=1.136274 Batch=419, step=11220, lr=0.153500, batch loss=0.235239, epoch loss=1.371513 Batch=479, step=11280, lr=0.153000, batch loss=0.199615, epoch loss=1.571127 Batch=539, step=11340, lr=0.153000, batch loss=0.158564, epoch loss=1.729691 Batch=599, step=11400, lr=0.152500, batch loss=0.181471, epoch loss=1.911162 Batch=659, step=11460, lr=0.152500, batch loss=0.264034, epoch loss=2.175196 Batch=719, step=11520, lr=0.152000, batch loss=0.260652, epoch loss=2.435848 Batch=779, step=11580, lr=0.152000, batch loss=0.272302, epoch loss=2.708150 Batch=839, step=11640, lr=0.151750, batch loss=0.252092, epoch loss=2.960242 Batch=899, step=11700, lr=0.151500, batch loss=0.218902, epoch loss=3.179144 Batch=959, step=11760, lr=0.151250, batch loss=0.177668, epoch loss=3.356812 Batch=1019, step=11820, lr=0.150750, batch loss=0.259482, epoch loss=3.616294 Batch=1079, step=11880, lr=0.150750, batch loss=0.138441, epoch loss=3.754735 Batch=1139, step=11940, lr=0.150500, batch loss=0.166852, epoch loss=3.921587 Batch=1199, step=12000, lr=0.150250, batch loss=0.141038, epoch loss=4.062625 Epoch=9, step=12000, lr=0.150250, epoch loss=4.062625 Batch=59, step=12060, lr=0.150000, batch loss=0.180939, epoch loss=0.180939 Batch=119, step=12120, lr=0.149750, batch loss=0.147150, epoch loss=0.328089 Batch=179, step=12180, lr=0.149500, batch loss=0.151853, epoch loss=0.479942 Batch=239, step=12240, lr=0.149250, batch loss=0.220462, epoch loss=0.700404 Batch=299, step=12300, lr=0.149000, batch loss=0.143323, epoch loss=0.843726 Batch=359, step=12360, lr=0.148750, batch loss=0.198444, epoch loss=1.042170 Batch=419, step=12420, lr=0.148500, batch loss=0.209416, epoch loss=1.251586 Batch=479, step=12480, lr=0.148250, batch loss=0.179511, epoch loss=1.431097 Batch=539, step=12540, lr=0.148000, batch loss=0.144669, epoch loss=1.575766 Batch=599, step=12600, lr=0.147750, batch loss=0.149890, epoch loss=1.725656 Batch=659, step=12660, lr=0.147500, batch loss=0.229111, epoch loss=1.954767 Batch=719, step=12720, lr=0.147250, batch loss=0.235791, epoch loss=2.190558 Batch=779, step=12780, lr=0.146750, batch loss=0.259067, epoch loss=2.449625 Batch=839, step=12840, lr=0.146500, batch loss=0.226836, epoch loss=2.676461 Batch=899, step=12900, lr=0.146250, batch loss=0.193396, epoch loss=2.869857 Batch=959, step=12960, lr=0.146250, batch loss=0.157659, epoch loss=3.027516 Batch=1019, step=13020, lr=0.146000, batch loss=0.265492, epoch loss=3.293008 Batch=1079, step=13080, lr=0.145750, batch loss=0.116867, epoch loss=3.409875 Batch=1139, step=13140, lr=0.145500, batch loss=0.156739, epoch loss=3.566614 Batch=1199, step=13200, lr=0.145250, batch loss=0.119696, epoch loss=3.686310 Epoch=10, step=13200, lr=0.145250, epoch loss=3.686310 Batch=59, step=13260, lr=0.145000, batch loss=0.146419, epoch loss=0.146419 Batch=119, step=13320, lr=0.144750, batch loss=0.126700, epoch loss=0.273119 Batch=179, step=13380, lr=0.144500, batch loss=0.131076, epoch loss=0.404194 Batch=239, step=13440, lr=0.144250, batch loss=0.193844, epoch loss=0.598038 Batch=299, step=13500, lr=0.144000, batch loss=0.120836, epoch loss=0.718874 Batch=359, step=13560, lr=0.143750, batch loss=0.164772, epoch loss=0.883646 Batch=419, step=13620, lr=0.143500, batch loss=0.162861, epoch loss=1.046507 Batch=479, step=13680, lr=0.143250, batch loss=0.147436, epoch loss=1.193943 Batch=539, step=13740, lr=0.143000, batch loss=0.120117, epoch loss=1.314060 Batch=599, step=13800, lr=0.142750, batch loss=0.121810, epoch loss=1.435870 Batch=659, step=13860, lr=0.142500, batch loss=0.177935, epoch loss=1.613805 Batch=719, step=13920, lr=0.142250, batch loss=0.180840, epoch loss=1.794645 Batch=779, step=13980, lr=0.142000, batch loss=0.199615, epoch loss=1.994260 Batch=839, step=14040, lr=0.141750, batch loss=0.189768, epoch loss=2.184027 Batch=899, step=14100, lr=0.141500, batch loss=0.180671, epoch loss=2.364699 Batch=959, step=14160, lr=0.141250, batch loss=0.145574, epoch loss=2.510272 Batch=1019, step=14220, lr=0.141000, batch loss=0.316553, epoch loss=2.826826 Batch=1079, step=14280, lr=0.140750, batch loss=0.073776, epoch loss=2.900602 Batch=1139, step=14340, lr=0.140500, batch loss=0.125665, epoch loss=3.026267 Batch=1199, step=14400, lr=0.140250, batch loss=0.094241, epoch loss=3.120508 Epoch=11, step=14400, lr=0.140250, epoch loss=3.120508 Batch=59, step=14460, lr=0.140000, batch loss=0.125097, epoch loss=0.125097 Batch=119, step=14520, lr=0.139750, batch loss=0.110980, epoch loss=0.236077 Batch=179, step=14580, lr=0.139500, batch loss=0.108672, epoch loss=0.344748 Batch=239, step=14640, lr=0.139250, batch loss=0.141787, epoch loss=0.486535 Batch=299, step=14700, lr=0.139000, batch loss=0.070380, epoch loss=0.556915 Batch=359, step=14760, lr=0.138750, batch loss=0.112619, epoch loss=0.669534 Batch=419, step=14820, lr=0.138500, batch loss=0.119924, epoch loss=0.789457 Batch=479, step=14880, lr=0.138250, batch loss=0.115873, epoch loss=0.905330 Batch=539, step=14940, lr=0.138000, batch loss=0.123647, epoch loss=1.028977 Batch=599, step=15000, lr=0.137750, batch loss=0.087924, epoch loss=1.116901 Batch=659, step=15060, lr=0.137500, batch loss=0.132245, epoch loss=1.249146 Batch=719, step=15120, lr=0.137250, batch loss=0.132809, epoch loss=1.381954 Batch=779, step=15180, lr=0.137000, batch loss=0.157865, epoch loss=1.539819 Batch=839, step=15240, lr=0.136750, batch loss=0.161519, epoch loss=1.701338 Batch=899, step=15300, lr=0.136500, batch loss=0.237765, epoch loss=1.939103 Batch=959, step=15360, lr=0.136250, batch loss=0.061270, epoch loss=2.000373 Batch=1019, step=15420, lr=0.136000, batch loss=0.137305, epoch loss=2.137678 Batch=1079, step=15480, lr=0.135750, batch loss=0.051206, epoch loss=2.188883 Batch=1139, step=15540, lr=0.135500, batch loss=0.111864, epoch loss=2.300747 Batch=1199, step=15600, lr=0.135250, batch loss=0.062505, epoch loss=2.363252 Epoch=12, step=15600, lr=0.135250, epoch loss=2.363252 Batch=59, step=15660, lr=0.135000, batch loss=0.086425, epoch loss=0.086425 Batch=119, step=15720, lr=0.134750, batch loss=0.137688, epoch loss=0.224114 Batch=179, step=15780, lr=0.134500, batch loss=0.100331, epoch loss=0.324445 Batch=239, step=15840, lr=0.134250, batch loss=0.101243, epoch loss=0.425688 Batch=299, step=15900, lr=0.134000, batch loss=0.048288, epoch loss=0.473976 Batch=359, step=15960, lr=0.133750, batch loss=0.089446, epoch loss=0.563422 Batch=419, step=16020, lr=0.133500, batch loss=0.080113, epoch loss=0.643535 Batch=479, step=16080, lr=0.133250, batch loss=0.058847, epoch loss=0.702382 Batch=539, step=16140, lr=0.133000, batch loss=0.074797, epoch loss=0.777179 Batch=599, step=16200, lr=0.132750, batch loss=0.167489, epoch loss=0.944668 Batch=659, step=16260, lr=0.132500, batch loss=0.101680, epoch loss=1.046348 Batch=719, step=16320, lr=0.132250, batch loss=0.128786, epoch loss=1.175134 Batch=779, step=16380, lr=0.132000, batch loss=0.269919, epoch loss=1.445053 Batch=839, step=16440, lr=0.131750, batch loss=0.093424, epoch loss=1.538477 Batch=899, step=16500, lr=0.131500, batch loss=0.076816, epoch loss=1.615292 Batch=959, step=16560, lr=0.131250, batch loss=0.033960, epoch loss=1.649253 Batch=1019, step=16620, lr=0.131000, batch loss=0.073187, epoch loss=1.722440 Batch=1079, step=16680, lr=0.130750, batch loss=0.050701, epoch loss=1.773141 Batch=1139, step=16740, lr=0.130500, batch loss=0.087292, epoch loss=1.860433 Batch=1199, step=16800, lr=0.130250, batch loss=0.040362, epoch loss=1.900795 Epoch=13, step=16800, lr=0.130250, epoch loss=1.900795 Batch=59, step=16860, lr=0.130000, batch loss=0.036772, epoch loss=0.036772 Batch=119, step=16920, lr=0.129750, batch loss=0.038555, epoch loss=0.075328 Batch=179, step=16980, lr=0.129500, batch loss=0.044721, epoch loss=0.120049 Batch=239, step=17040, lr=0.129250, batch loss=0.061934, epoch loss=0.181983 Batch=299, step=17100, lr=0.129000, batch loss=0.026617, epoch loss=0.208600 Batch=359, step=17160, lr=0.128750, batch loss=0.056288, epoch loss=0.264888 Batch=419, step=17220, lr=0.128500, batch loss=0.089559, epoch loss=0.354447 Batch=479, step=17280, lr=0.128250, batch loss=0.026639, epoch loss=0.381085 Batch=539, step=17340, lr=0.128000, batch loss=0.027522, epoch loss=0.408607 Batch=599, step=17400, lr=0.127750, batch loss=0.043693, epoch loss=0.452300 Batch=659, step=17460, lr=0.127500, batch loss=0.058908, epoch loss=0.511209 Batch=719, step=17520, lr=0.127250, batch loss=0.071844, epoch loss=0.583052 Batch=779, step=17580, lr=0.127000, batch loss=0.070287, epoch loss=0.653339 Batch=839, step=17640, lr=0.126750, batch loss=0.104798, epoch loss=0.758137 Batch=899, step=17700, lr=0.126500, batch loss=0.052056, epoch loss=0.810193 Batch=959, step=17760, lr=0.126000, batch loss=0.017371, epoch loss=0.827565 Batch=1019, step=17820, lr=0.126000, batch loss=0.041388, epoch loss=0.868953 Batch=1079, step=17880, lr=0.125750, batch loss=0.047405, epoch loss=0.916358 Batch=1139, step=17940, lr=0.125500, batch loss=0.098142, epoch loss=1.014500 Batch=1199, step=18000, lr=0.125000, batch loss=0.025850, epoch loss=1.040350 Epoch=14, step=18000, lr=0.125000, epoch loss=1.040350 Batch=59, step=18060, lr=0.125000, batch loss=0.020240, epoch loss=0.020240 Batch=119, step=18120, lr=0.124750, batch loss=0.021015, epoch loss=0.041256 Batch=179, step=18180, lr=0.124500, batch loss=0.031333, epoch loss=0.072588 Batch=239, step=18240, lr=0.124250, batch loss=0.047319, epoch loss=0.119907 Batch=299, step=18300, lr=0.124000, batch loss=0.017520, epoch loss=0.137428 Batch=359, step=18360, lr=0.123750, batch loss=0.027247, epoch loss=0.164675 Batch=419, step=18420, lr=0.123250, batch loss=0.030950, epoch loss=0.195624 Batch=479, step=18480, lr=0.123000, batch loss=0.019508, epoch loss=0.215132 Batch=539, step=18540, lr=0.123000, batch loss=0.037067, epoch loss=0.252199 Batch=599, step=18600, lr=0.122750, batch loss=0.027346, epoch loss=0.279545 Batch=659, step=18660, lr=0.122500, batch loss=0.034308, epoch loss=0.313853 Batch=719, step=18720, lr=0.122250, batch loss=0.023511, epoch loss=0.337364 Batch=779, step=18780, lr=0.122000, batch loss=0.038695, epoch loss=0.376058 Batch=839, step=18840, lr=0.121750, batch loss=0.066881, epoch loss=0.442939 Batch=899, step=18900, lr=0.121500, batch loss=0.091024, epoch loss=0.533963 Batch=959, step=18960, lr=0.121000, batch loss=0.015932, epoch loss=0.549895 Batch=1019, step=19020, lr=0.121000, batch loss=0.022409, epoch loss=0.572304 Batch=1079, step=19080, lr=0.120750, batch loss=0.011319, epoch loss=0.583623 Batch=1139, step=19140, lr=0.120500, batch loss=0.023096, epoch loss=0.606719 Batch=1199, step=19200, lr=0.120250, batch loss=0.010262, epoch loss=0.616981 Epoch=15, step=19200, lr=0.120250, epoch loss=0.616981 Batch=59, step=19260, lr=0.120000, batch loss=0.004720, epoch loss=0.004720 Batch=119, step=19320, lr=0.119750, batch loss=0.011264, epoch loss=0.015985 Batch=179, step=19380, lr=0.119500, batch loss=0.020525, epoch loss=0.036509 Batch=239, step=19440, lr=0.119250, batch loss=0.020872, epoch loss=0.057382 Batch=299, step=19500, lr=0.119000, batch loss=0.016818, epoch loss=0.074199 Batch=359, step=19560, lr=0.118750, batch loss=0.033916, epoch loss=0.108115 Batch=419, step=19620, lr=0.118500, batch loss=0.020821, epoch loss=0.128936 Batch=479, step=19680, lr=0.118250, batch loss=0.009735, epoch loss=0.138671 Batch=539, step=19740, lr=0.118000, batch loss=0.018214, epoch loss=0.156885 Batch=599, step=19800, lr=0.117750, batch loss=0.023941, epoch loss=0.180826 Batch=659, step=19860, lr=0.117500, batch loss=0.022579, epoch loss=0.203405 Batch=719, step=19920, lr=0.117250, batch loss=0.048852, epoch loss=0.252257 Batch=779, step=19980, lr=0.117000, batch loss=0.083655, epoch loss=0.335912 Batch=839, step=20040, lr=0.116750, batch loss=0.030251, epoch loss=0.366163 Batch=899, step=20100, lr=0.116500, batch loss=0.033821, epoch loss=0.399984 Batch=959, step=20160, lr=0.116250, batch loss=0.011263, epoch loss=0.411247 Batch=1019, step=20220, lr=0.116000, batch loss=0.014080, epoch loss=0.425327 Batch=1079, step=20280, lr=0.115750, batch loss=0.002910, epoch loss=0.428237 Batch=1139, step=20340, lr=0.115500, batch loss=0.015006, epoch loss=0.443243 Batch=1199, step=20400, lr=0.115250, batch loss=0.006237, epoch loss=0.449480 Epoch=16, step=20400, lr=0.115250, epoch loss=0.449480 Batch=59, step=20460, lr=0.115000, batch loss=0.003216, epoch loss=0.003216 Batch=119, step=20520, lr=0.114750, batch loss=0.009752, epoch loss=0.012968 Batch=179, step=20580, lr=0.114500, batch loss=0.023436, epoch loss=0.036404 Batch=239, step=20640, lr=0.114250, batch loss=0.016021, epoch loss=0.052425 Batch=299, step=20700, lr=0.114000, batch loss=0.004791, epoch loss=0.057216 Batch=359, step=20760, lr=0.113750, batch loss=0.014136, epoch loss=0.071352 Batch=419, step=20820, lr=0.113500, batch loss=0.014413, epoch loss=0.085765 Batch=479, step=20880, lr=0.113250, batch loss=0.004769, epoch loss=0.090534 Batch=539, step=20940, lr=0.113000, batch loss=0.015828, epoch loss=0.106361 Batch=599, step=21000, lr=0.112750, batch loss=0.018621, epoch loss=0.124982 Batch=659, step=21060, lr=0.112500, batch loss=0.015522, epoch loss=0.140504 Batch=719, step=21120, lr=0.112250, batch loss=0.044202, epoch loss=0.184706 Batch=779, step=21180, lr=0.112000, batch loss=0.073681, epoch loss=0.258387 Batch=839, step=21240, lr=0.111750, batch loss=0.026432, epoch loss=0.284819 Batch=899, step=21300, lr=0.111500, batch loss=0.028232, epoch loss=0.313052 Batch=959, step=21360, lr=0.111250, batch loss=0.009974, epoch loss=0.323026 Batch=1019, step=21420, lr=0.111000, batch loss=0.010819, epoch loss=0.333845 Batch=1079, step=21480, lr=0.110500, batch loss=0.001867, epoch loss=0.335712 Batch=1139, step=21540, lr=0.110500, batch loss=0.012611, epoch loss=0.348323 Batch=1199, step=21600, lr=0.110250, batch loss=0.005197, epoch loss=0.353520 Epoch=17, step=21600, lr=0.110250, epoch loss=0.353520 Batch=59, step=21660, lr=0.110000, batch loss=0.002707, epoch loss=0.002707 Batch=119, step=21720, lr=0.109750, batch loss=0.006611, epoch loss=0.009318 Batch=179, step=21780, lr=0.109500, batch loss=0.013204, epoch loss=0.022522 Batch=239, step=21840, lr=0.109250, batch loss=0.009623, epoch loss=0.032145 Batch=299, step=21900, lr=0.109000, batch loss=0.006941, epoch loss=0.039086 Batch=359, step=21960, lr=0.108500, batch loss=0.014806, epoch loss=0.053892 Batch=419, step=22020, lr=0.108500, batch loss=0.013158, epoch loss=0.067050 Batch=479, step=22080, lr=0.108000, batch loss=0.003001, epoch loss=0.070051 Batch=539, step=22140, lr=0.107750, batch loss=0.016786, epoch loss=0.086838 Batch=599, step=22200, lr=0.107500, batch loss=0.015888, epoch loss=0.102726 Batch=659, step=22260, lr=0.107250, batch loss=0.011682, epoch loss=0.114408 Batch=719, step=22320, lr=0.107250, batch loss=0.020150, epoch loss=0.134558 Batch=779, step=22380, lr=0.107000, batch loss=0.028411, epoch loss=0.162969 Batch=839, step=22440, lr=0.106500, batch loss=0.028961, epoch loss=0.191930 Batch=899, step=22500, lr=0.106500, batch loss=0.023967, epoch loss=0.215896 Batch=959, step=22560, lr=0.106250, batch loss=0.009027, epoch loss=0.224924 Batch=1019, step=22620, lr=0.106000, batch loss=0.007507, epoch loss=0.232431 Batch=1079, step=22680, lr=0.105750, batch loss=0.002960, epoch loss=0.235391 Batch=1139, step=22740, lr=0.105500, batch loss=0.011115, epoch loss=0.246506 Batch=1199, step=22800, lr=0.105250, batch loss=0.005010, epoch loss=0.251516 Epoch=18, step=22800, lr=0.105250, epoch loss=0.251516 Batch=59, step=22860, lr=0.105000, batch loss=0.002269, epoch loss=0.002269 Batch=119, step=22920, lr=0.104750, batch loss=0.005410, epoch loss=0.007679 Batch=179, step=22980, lr=0.104500, batch loss=0.012077, epoch loss=0.019756 Batch=239, step=23040, lr=0.104000, batch loss=0.009538, epoch loss=0.029294 Batch=299, step=23100, lr=0.104000, batch loss=0.009932, epoch loss=0.039226 Batch=359, step=23160, lr=0.103750, batch loss=0.013415, epoch loss=0.052641 Batch=419, step=23220, lr=0.103500, batch loss=0.012189, epoch loss=0.064830 Batch=479, step=23280, lr=0.103250, batch loss=0.002488, epoch loss=0.067318 Batch=539, step=23340, lr=0.103000, batch loss=0.016616, epoch loss=0.083934 Batch=599, step=23400, lr=0.102750, batch loss=0.016176, epoch loss=0.100110 Batch=659, step=23460, lr=0.102500, batch loss=0.011837, epoch loss=0.111947 Batch=719, step=23520, lr=0.102250, batch loss=0.012669, epoch loss=0.124616 Batch=779, step=23580, lr=0.102000, batch loss=0.019608, epoch loss=0.144223 Batch=839, step=23640, lr=0.101750, batch loss=0.025331, epoch loss=0.169554 Batch=899, step=23700, lr=0.101500, batch loss=0.022926, epoch loss=0.192480 Batch=959, step=23760, lr=0.101250, batch loss=0.009320, epoch loss=0.201800 Batch=1019, step=23820, lr=0.101000, batch loss=0.008507, epoch loss=0.210307 Batch=1079, step=23880, lr=0.100500, batch loss=0.000952, epoch loss=0.211259 Batch=1139, step=23940, lr=0.100500, batch loss=0.009685, epoch loss=0.220944 Batch=1199, step=24000, lr=0.100250, batch loss=0.004597, epoch loss=0.225540 Epoch=19, step=24000, lr=0.100250, epoch loss=0.225540 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:25.17 ---> saved as "83638d2d14b1566e3b9a3f35aaa29c7b4b60c71a2ea4369685cc4615b203a115" Job succeeded 2025-03-20 21:25.18: Job succeeded