2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-arm64:debian-12-5.3_arm64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8b6a6fac cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8 # debian-12-5.3_arm64_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8-debian-12-5.3_arm64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8) (comment debian-12-5.3_arm64_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:48.50: Got resource from pool OCluster Building on kydoime.caelum.ci.dev HEAD is now at d63fdf0d Expose and test the new unary ops HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8' locally docker.io/ocaml/opam@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8: Pulling from ocaml/opam b77737b502f6: Pulling fs layer b77737b502f6: Verifying Checksum b77737b502f6: Download complete b77737b502f6: Pull complete Digest: sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8 Status: Downloaded newer image for ocaml/opam@sha256:5ab8649cf3222041ba6d43eaa89d425fc4c31779296ff55cef59d8358bb980b8 2025-03-21 14:48.50 ---> using "b6d8d0fa0c54cd585b3a04afcf0d66bfe3f39ed58ba8af0589daf7dcc03b3d19" from cache /: (comment debian-12-5.3_arm64_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 14:48.50 ---> using "f8420385e9cefec70b7fc0a4c74e6537f54bcf9f1134d65fe7170e7c1468905e" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 14:48.50 ---> using "f616cd4af98f101fd1868bcda14f85f9790c2c9f591a7c535ef47450ff6ba3f7" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 14:48.50 ---> using "c88997f05a588cb639982ecfe8b000b16df5707052811e8247e34be33e94b44e" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:48.50 ---> using "42a23355e48ff2b1e324f92ad5f9d7f0c215980a082e56d01e7ad4f4aea189e7" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:48.50 ---> using "0e91991002b0237b274c80382dab32683e7cda88185928928f5c6d50d14ce2b1" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:48.50 ---> using "74fd9300b6c866cbaec530d1214637525170cafbd30e0423bfae369f41ab5f88" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 14:48.50 ---> using "8ee874e9809c3aa3a321cab20534541cdd074d348bfef880fc8151d8acd09525" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:48.50 ---> using "363df0ccf9ed98d033a51d1a46c62e47476d9b0734cf7285ebfbe74c3a822cb9" from cache /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 arm64 Packages [8692 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main arm64 Packages [245 kB] - Fetched 9191 kB in 1s (6886 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:arm64. - (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 ... 18799 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ... - Unpacking libffi-dev:arm64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:arm64. - Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ... - Unpacking libpkgconf3:arm64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:arm64. - Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ... - Unpacking pkgconf:arm64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:arm64. - Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ... - Unpacking pkg-config:arm64 (1.8.1-1) ... - Setting up libffi-dev:arm64 (3.4.4-1) ... - Setting up libpkgconf3:arm64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:arm64 (1.8.1-1) ... - Setting up pkg-config:arm64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-03-21 14:48.50 ---> using "5c9ff810ad120a1df5adfe688cb2b10828573456f0946b0a942dba1cca0f0e88" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed uucp.16.0.0 -> 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 printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:48.50 ---> using "336352d2c6d5d10d8d121dbd6925576abd08b3361105413b8fae040b91ce37fc" from cache /src: (copy (src .) (dst /src)) 2025-03-21 14:48.51 ---> saved as "66597e5de0bcacf5522d2f67d87a0eef60159d7183c690ef79fbad83f2d1b675" /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/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/f11309ab59d2df034f39fe71ec978a92/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d6d412ecf6553e2918d04f5cf8882ce1/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/d6d412ecf6553e2918d04f5cf8882ce1/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=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020080 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842140 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532384 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596262 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079602 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490901 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790406 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035542 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502048 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750828 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068268 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467380 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208235, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281745, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238370, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840093 Batch=1139, step=4740, lr=0.180500, batch loss=0.249213, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462437 Batch=1079, step=5880, lr=0.175750, batch loss=0.207827, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907386 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312108, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211038, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180865, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417300 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363688 Batch=419, step=7620, lr=0.168500, batch loss=0.256809, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856494 Batch=539, step=7740, lr=0.168000, batch loss=0.187896, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223923, epoch loss=2.268313 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883517 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292424, epoch loss=3.505884 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767659 Batch=959, step=8160, lr=0.166250, batch loss=0.193294, epoch loss=3.960954 Batch=1019, step=8220, lr=0.166000, batch loss=0.314034, epoch loss=4.274987 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447086 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656828 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229724, epoch loss=0.229724 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592558 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870761 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311387 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785579 Batch=539, step=8940, lr=0.163000, batch loss=0.178133, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181100 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475914 Batch=719, step=9120, lr=0.162250, batch loss=0.296432, epoch loss=2.772347 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089074 Batch=839, step=9240, lr=0.161750, batch loss=0.287242, epoch loss=3.376317 Batch=899, step=9300, lr=0.161500, batch loss=0.251061, epoch loss=3.627377 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817909 Batch=1019, step=9420, lr=0.161000, batch loss=0.311729, epoch loss=4.129638 Batch=1079, step=9480, lr=0.160750, batch loss=0.191594, epoch loss=4.321232 Batch=1139, step=9540, lr=0.160500, batch loss=0.215773, epoch loss=4.537005 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702625 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702625 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240841, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213193, epoch loss=1.675008 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845702 Batch=599, step=10200, lr=0.157750, batch loss=0.200246, epoch loss=2.045949 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328981 Batch=719, step=10320, lr=0.157250, batch loss=0.288753, epoch loss=2.617734 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914614 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182271 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424970 Batch=959, step=10560, lr=0.156250, batch loss=0.198667, epoch loss=3.623637 Batch=1019, step=10620, lr=0.156000, batch loss=0.295120, epoch loss=3.918757 Batch=1079, step=10680, lr=0.155750, batch loss=0.178661, epoch loss=4.097419 Batch=1139, step=10740, lr=0.155500, batch loss=0.205426, epoch loss=4.302845 Batch=1199, step=10800, lr=0.155250, batch loss=0.156137, epoch loss=4.458982 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458982 Batch=59, step=10860, lr=0.155000, batch loss=0.177429, epoch loss=0.177429 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242621, epoch loss=0.739530 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909514 Batch=359, step=11160, lr=0.153750, batch loss=0.222139, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229251, epoch loss=1.360904 Batch=479, step=11280, lr=0.153250, batch loss=0.202870, epoch loss=1.563774 Batch=539, step=11340, lr=0.153000, batch loss=0.159119, epoch loss=1.722893 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901390 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166115 Batch=719, step=11520, lr=0.152250, batch loss=0.256958, epoch loss=2.423073 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696354 Batch=839, step=11640, lr=0.151750, batch loss=0.255782, epoch loss=2.952136 Batch=899, step=11700, lr=0.151500, batch loss=0.212943, epoch loss=3.165079 Batch=959, step=11760, lr=0.151250, batch loss=0.168194, epoch loss=3.333272 Batch=1019, step=11820, lr=0.151000, batch loss=0.266033, epoch loss=3.599305 Batch=1079, step=11880, lr=0.150750, batch loss=0.149775, epoch loss=3.749080 Batch=1139, step=11940, lr=0.150500, batch loss=0.185522, epoch loss=3.934602 Batch=1199, step=12000, lr=0.150250, batch loss=0.139483, epoch loss=4.074085 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074085 Batch=59, step=12060, lr=0.150000, batch loss=0.158027, epoch loss=0.158027 Batch=119, step=12120, lr=0.149750, batch loss=0.128834, epoch loss=0.286861 Batch=179, step=12180, lr=0.149500, batch loss=0.150389, epoch loss=0.437250 Batch=239, step=12240, lr=0.149250, batch loss=0.223283, epoch loss=0.660534 Batch=299, step=12300, lr=0.149000, batch loss=0.142596, epoch loss=0.803129 Batch=359, step=12360, lr=0.148750, batch loss=0.195473, epoch loss=0.998602 Batch=419, step=12420, lr=0.148500, batch loss=0.206190, epoch loss=1.204792 Batch=479, step=12480, lr=0.148250, batch loss=0.178780, epoch loss=1.383572 Batch=539, step=12540, lr=0.148000, batch loss=0.142577, epoch loss=1.526149 Batch=599, step=12600, lr=0.147750, batch loss=0.150449, epoch loss=1.676598 Batch=659, step=12660, lr=0.147500, batch loss=0.224850, epoch loss=1.901447 Batch=719, step=12720, lr=0.147250, batch loss=0.235380, epoch loss=2.136827 Batch=779, step=12780, lr=0.147000, batch loss=0.252611, epoch loss=2.389438 Batch=839, step=12840, lr=0.146750, batch loss=0.225003, epoch loss=2.614442 Batch=899, step=12900, lr=0.146500, batch loss=0.185276, epoch loss=2.799718 Batch=959, step=12960, lr=0.146250, batch loss=0.149055, epoch loss=2.948773 Batch=1019, step=13020, lr=0.146000, batch loss=0.267920, epoch loss=3.216692 Batch=1079, step=13080, lr=0.145750, batch loss=0.115423, epoch loss=3.332116 Batch=1139, step=13140, lr=0.145500, batch loss=0.155344, epoch loss=3.487460 Batch=1199, step=13200, lr=0.145250, batch loss=0.118495, epoch loss=3.605955 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605955 Batch=59, step=13260, lr=0.145000, batch loss=0.143435, epoch loss=0.143435 Batch=119, step=13320, lr=0.144750, batch loss=0.119649, epoch loss=0.263084 Batch=179, step=13380, lr=0.144500, batch loss=0.127185, epoch loss=0.390269 Batch=239, step=13440, lr=0.144250, batch loss=0.186826, epoch loss=0.577095 Batch=299, step=13500, lr=0.144000, batch loss=0.112688, epoch loss=0.689783 Batch=359, step=13560, lr=0.143750, batch loss=0.161651, epoch loss=0.851434 Batch=419, step=13620, lr=0.143500, batch loss=0.160665, epoch loss=1.012099 Batch=479, step=13680, lr=0.143250, batch loss=0.147467, epoch loss=1.159566 Batch=539, step=13740, lr=0.143000, batch loss=0.118072, epoch loss=1.277638 Batch=599, step=13800, lr=0.142750, batch loss=0.120059, epoch loss=1.397696 Batch=659, step=13860, lr=0.142500, batch loss=0.175818, epoch loss=1.573514 Batch=719, step=13920, lr=0.142250, batch loss=0.172356, epoch loss=1.745870 Batch=779, step=13980, lr=0.142000, batch loss=0.178509, epoch loss=1.924379 Batch=839, step=14040, lr=0.141750, batch loss=0.185972, epoch loss=2.110351 Batch=899, step=14100, lr=0.141500, batch loss=0.178108, epoch loss=2.288459 Batch=959, step=14160, lr=0.141250, batch loss=0.146430, epoch loss=2.434889 Batch=1019, step=14220, lr=0.141000, batch loss=0.329973, epoch loss=2.764862 Batch=1079, step=14280, lr=0.140750, batch loss=0.082736, epoch loss=2.847598 Batch=1139, step=14340, lr=0.140500, batch loss=0.122233, epoch loss=2.969830 Batch=1199, step=14400, lr=0.140250, batch loss=0.091701, epoch loss=3.061531 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061531 Batch=59, step=14460, lr=0.140000, batch loss=0.112921, epoch loss=0.112921 Batch=119, step=14520, lr=0.139750, batch loss=0.102689, epoch loss=0.215611 Batch=179, step=14580, lr=0.139500, batch loss=0.106388, epoch loss=0.321999 Batch=239, step=14640, lr=0.139250, batch loss=0.140569, epoch loss=0.462568 Batch=299, step=14700, lr=0.139000, batch loss=0.080931, epoch loss=0.543498 Batch=359, step=14760, lr=0.138750, batch loss=0.125427, epoch loss=0.668925 Batch=419, step=14820, lr=0.138500, batch loss=0.129208, epoch loss=0.798133 Batch=479, step=14880, lr=0.138250, batch loss=0.101528, epoch loss=0.899660 Batch=539, step=14940, lr=0.138000, batch loss=0.090679, epoch loss=0.990340 Batch=599, step=15000, lr=0.137750, batch loss=0.084901, epoch loss=1.075241 Batch=659, step=15060, lr=0.137500, batch loss=0.129077, epoch loss=1.204318 Batch=719, step=15120, lr=0.137250, batch loss=0.121365, epoch loss=1.325682 Batch=779, step=15180, lr=0.137000, batch loss=0.134336, epoch loss=1.460019 Batch=839, step=15240, lr=0.136750, batch loss=0.174878, epoch loss=1.634897 Batch=899, step=15300, lr=0.136500, batch loss=0.294201, epoch loss=1.929098 Batch=959, step=15360, lr=0.136250, batch loss=0.059186, epoch loss=1.988284 Batch=1019, step=15420, lr=0.136000, batch loss=0.136123, epoch loss=2.124407 Batch=1079, step=15480, lr=0.135750, batch loss=0.049792, epoch loss=2.174199 Batch=1139, step=15540, lr=0.135500, batch loss=0.106084, epoch loss=2.280283 Batch=1199, step=15600, lr=0.135250, batch loss=0.062138, epoch loss=2.342420 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342420 Batch=59, step=15660, lr=0.135000, batch loss=0.077448, epoch loss=0.077448 Batch=119, step=15720, lr=0.134750, batch loss=0.100599, epoch loss=0.178048 Batch=179, step=15780, lr=0.134500, batch loss=0.088175, epoch loss=0.266223 Batch=239, step=15840, lr=0.134250, batch loss=0.090842, epoch loss=0.357065 Batch=299, step=15900, lr=0.134000, batch loss=0.041446, epoch loss=0.398510 Batch=359, step=15960, lr=0.133750, batch loss=0.077481, epoch loss=0.475992 Batch=419, step=16020, lr=0.133500, batch loss=0.083961, epoch loss=0.559952 Batch=479, step=16080, lr=0.133250, batch loss=0.076760, epoch loss=0.636712 Batch=539, step=16140, lr=0.133000, batch loss=0.052802, epoch loss=0.689515 Batch=599, step=16200, lr=0.132750, batch loss=0.097484, epoch loss=0.786998 Batch=659, step=16260, lr=0.132500, batch loss=0.075918, epoch loss=0.862916 Batch=719, step=16320, lr=0.132250, batch loss=0.080520, epoch loss=0.943436 Batch=779, step=16380, lr=0.132000, batch loss=0.103357, epoch loss=1.046792 Batch=839, step=16440, lr=0.131750, batch loss=0.125716, epoch loss=1.172508 Batch=899, step=16500, lr=0.131500, batch loss=0.154839, epoch loss=1.327348 Batch=959, step=16560, lr=0.131250, batch loss=0.044180, epoch loss=1.371527 Batch=1019, step=16620, lr=0.131000, batch loss=0.101954, epoch loss=1.473481 Batch=1079, step=16680, lr=0.130750, batch loss=0.027881, epoch loss=1.501363 Batch=1139, step=16740, lr=0.130500, batch loss=0.057511, epoch loss=1.558874 Batch=1199, step=16800, lr=0.130250, batch loss=0.030009, epoch loss=1.588883 Epoch=13, step=16800, lr=0.130250, epoch loss=1.588883 Batch=59, step=16860, lr=0.130000, batch loss=0.039209, epoch loss=0.039209 Batch=119, step=16920, lr=0.129750, batch loss=0.053099, epoch loss=0.092307 Batch=179, step=16980, lr=0.129500, batch loss=0.051444, epoch loss=0.143751 Batch=239, step=17040, lr=0.129250, batch loss=0.065419, epoch loss=0.209170 Batch=299, step=17100, lr=0.129000, batch loss=0.033455, epoch loss=0.242625 Batch=359, step=17160, lr=0.128750, batch loss=0.050518, epoch loss=0.293143 Batch=419, step=17220, lr=0.128500, batch loss=0.089226, epoch loss=0.382370 Batch=479, step=17280, lr=0.128250, batch loss=0.022976, epoch loss=0.405346 Batch=539, step=17340, lr=0.128000, batch loss=0.026243, epoch loss=0.431589 Batch=599, step=17400, lr=0.127750, batch loss=0.038758, epoch loss=0.470347 Batch=659, step=17460, lr=0.127500, batch loss=0.050225, epoch loss=0.520573 Batch=719, step=17520, lr=0.127250, batch loss=0.060511, epoch loss=0.581084 Batch=779, step=17580, lr=0.127000, batch loss=0.061204, epoch loss=0.642288 Batch=839, step=17640, lr=0.126750, batch loss=0.085612, epoch loss=0.727900 Batch=899, step=17700, lr=0.126500, batch loss=0.052293, epoch loss=0.780192 Batch=959, step=17760, lr=0.126250, batch loss=0.018305, epoch loss=0.798497 Batch=1019, step=17820, lr=0.126000, batch loss=0.026868, epoch loss=0.825365 Batch=1079, step=17880, lr=0.125750, batch loss=0.019158, epoch loss=0.844523 Batch=1139, step=17940, lr=0.125500, batch loss=0.044057, epoch loss=0.888581 Batch=1199, step=18000, lr=0.125250, batch loss=0.016336, epoch loss=0.904917 Epoch=14, step=18000, lr=0.125250, epoch loss=0.904917 Batch=59, step=18060, lr=0.125000, batch loss=0.012243, epoch loss=0.012243 Batch=119, step=18120, lr=0.124750, batch loss=0.023181, epoch loss=0.035424 Batch=179, step=18180, lr=0.124500, batch loss=0.028546, epoch loss=0.063970 Batch=239, step=18240, lr=0.124250, batch loss=0.032382, epoch loss=0.096351 Batch=299, step=18300, lr=0.124000, batch loss=0.008612, epoch loss=0.104963 Batch=359, step=18360, lr=0.123750, batch loss=0.022887, epoch loss=0.127850 Batch=419, step=18420, lr=0.123500, batch loss=0.031618, epoch loss=0.159468 Batch=479, step=18480, lr=0.123250, batch loss=0.027577, epoch loss=0.187045 Batch=539, step=18540, lr=0.123000, batch loss=0.052953, epoch loss=0.239998 Batch=599, step=18600, lr=0.122750, batch loss=0.026499, epoch loss=0.266497 Batch=659, step=18660, lr=0.122500, batch loss=0.033917, epoch loss=0.300414 Batch=719, step=18720, lr=0.122250, batch loss=0.026716, epoch loss=0.327130 Batch=779, step=18780, lr=0.122000, batch loss=0.071957, epoch loss=0.399087 Batch=839, step=18840, lr=0.121750, batch loss=0.048069, epoch loss=0.447156 Batch=899, step=18900, lr=0.121500, batch loss=0.049105, epoch loss=0.496261 Batch=959, step=18960, lr=0.121250, batch loss=0.015382, epoch loss=0.511643 Batch=1019, step=19020, lr=0.121000, batch loss=0.024066, epoch loss=0.535709 Batch=1079, step=19080, lr=0.120750, batch loss=0.010567, epoch loss=0.546276 Batch=1139, step=19140, lr=0.120500, batch loss=0.023562, epoch loss=0.569838 Batch=1199, step=19200, lr=0.120250, batch loss=0.009264, epoch loss=0.579102 Epoch=15, step=19200, lr=0.120250, epoch loss=0.579102 Batch=59, step=19260, lr=0.120000, batch loss=0.005289, epoch loss=0.005289 Batch=119, step=19320, lr=0.119750, batch loss=0.018906, epoch loss=0.024195 Batch=179, step=19380, lr=0.119500, batch loss=0.042882, epoch loss=0.067077 Batch=239, step=19440, lr=0.119250, batch loss=0.019534, epoch loss=0.086611 Batch=299, step=19500, lr=0.119000, batch loss=0.005033, epoch loss=0.091643 Batch=359, step=19560, lr=0.118750, batch loss=0.016692, epoch loss=0.108335 Batch=419, step=19620, lr=0.118500, batch loss=0.019856, epoch loss=0.128191 Batch=479, step=19680, lr=0.118250, batch loss=0.007133, epoch loss=0.135324 Batch=539, step=19740, lr=0.118000, batch loss=0.017033, epoch loss=0.152357 Batch=599, step=19800, lr=0.117750, batch loss=0.023214, epoch loss=0.175571 Batch=659, step=19860, lr=0.117500, batch loss=0.019565, epoch loss=0.195136 Batch=719, step=19920, lr=0.117250, batch loss=0.045882, epoch loss=0.241018 Batch=779, step=19980, lr=0.116750, batch loss=0.084727, epoch loss=0.325745 Batch=839, step=20040, lr=0.116750, batch loss=0.031625, epoch loss=0.357370 Batch=899, step=20100, lr=0.116500, batch loss=0.027411, epoch loss=0.384781 Batch=959, step=20160, lr=0.116250, batch loss=0.016838, epoch loss=0.401619 Batch=1019, step=20220, lr=0.116000, batch loss=0.018634, epoch loss=0.420254 Batch=1079, step=20280, lr=0.115750, batch loss=0.004839, epoch loss=0.425093 Batch=1139, step=20340, lr=0.115500, batch loss=0.018892, epoch loss=0.443984 Batch=1199, step=20400, lr=0.115250, batch loss=0.007327, epoch loss=0.451311 Epoch=16, step=20400, lr=0.115250, epoch loss=0.451311 Batch=59, step=20460, lr=0.115000, batch loss=0.003286, epoch loss=0.003286 Batch=119, step=20520, lr=0.114750, batch loss=0.008465, epoch loss=0.011752 Batch=179, step=20580, lr=0.114500, batch loss=0.014929, epoch loss=0.026680 Batch=239, step=20640, lr=0.114250, batch loss=0.012996, epoch loss=0.039676 Batch=299, step=20700, lr=0.114000, batch loss=0.005035, epoch loss=0.044711 Batch=359, step=20760, lr=0.113750, batch loss=0.014196, epoch loss=0.058908 Batch=419, step=20820, lr=0.113500, batch loss=0.014621, epoch loss=0.073528 Batch=479, step=20880, lr=0.113250, batch loss=0.004763, epoch loss=0.078291 Batch=539, step=20940, lr=0.113000, batch loss=0.015725, epoch loss=0.094016 Batch=599, step=21000, lr=0.112750, batch loss=0.018465, epoch loss=0.112481 Batch=659, step=21060, lr=0.112500, batch loss=0.013635, epoch loss=0.126117 Batch=719, step=21120, lr=0.112250, batch loss=0.028237, epoch loss=0.154354 Batch=779, step=21180, lr=0.112000, batch loss=0.044808, epoch loss=0.199162 Batch=839, step=21240, lr=0.111750, batch loss=0.028236, epoch loss=0.227398 Batch=899, step=21300, lr=0.111500, batch loss=0.028438, epoch loss=0.255836 Batch=959, step=21360, lr=0.111250, batch loss=0.012878, epoch loss=0.268714 Batch=1019, step=21420, lr=0.111000, batch loss=0.010809, epoch loss=0.279523 Batch=1079, step=21480, lr=0.110750, batch loss=0.001982, epoch loss=0.281505 Batch=1139, step=21540, lr=0.110500, batch loss=0.012194, epoch loss=0.293698 Batch=1199, step=21600, lr=0.110250, batch loss=0.004974, epoch loss=0.298672 Epoch=17, step=21600, lr=0.110250, epoch loss=0.298672 Batch=59, step=21660, lr=0.110000, batch loss=0.002126, epoch loss=0.002126 Batch=119, step=21720, lr=0.109750, batch loss=0.006736, epoch loss=0.008862 Batch=179, step=21780, lr=0.109500, batch loss=0.012775, epoch loss=0.021636 Batch=239, step=21840, lr=0.109250, batch loss=0.011639, epoch loss=0.033275 Batch=299, step=21900, lr=0.109000, batch loss=0.012396, epoch loss=0.045671 Batch=359, step=21960, lr=0.108750, batch loss=0.012732, epoch loss=0.058403 Batch=419, step=22020, lr=0.108500, batch loss=0.012280, epoch loss=0.070683 Batch=479, step=22080, lr=0.108250, batch loss=0.002702, epoch loss=0.073385 Batch=539, step=22140, lr=0.108000, batch loss=0.017514, epoch loss=0.090899 Batch=599, step=22200, lr=0.107750, batch loss=0.015354, epoch loss=0.106252 Batch=659, step=22260, lr=0.107500, batch loss=0.011242, epoch loss=0.117494 Batch=719, step=22320, lr=0.107250, batch loss=0.018371, epoch loss=0.135865 Batch=779, step=22380, lr=0.107000, batch loss=0.022262, epoch loss=0.158127 Batch=839, step=22440, lr=0.106750, batch loss=0.024717, epoch loss=0.182845 Batch=899, step=22500, lr=0.106500, batch loss=0.027663, epoch loss=0.210508 Batch=959, step=22560, lr=0.106250, batch loss=0.008778, epoch loss=0.219286 Batch=1019, step=22620, lr=0.106000, batch loss=0.010286, epoch loss=0.229572 Batch=1079, step=22680, lr=0.105750, batch loss=0.001154, epoch loss=0.230726 Batch=1139, step=22740, lr=0.105500, batch loss=0.009894, epoch loss=0.240620 Batch=1199, step=22800, lr=0.105250, batch loss=0.005118, epoch loss=0.245738 Epoch=18, step=22800, lr=0.105250, epoch loss=0.245738 Batch=59, step=22860, lr=0.105000, batch loss=0.001916, epoch loss=0.001916 Batch=119, step=22920, lr=0.104750, batch loss=0.005267, epoch loss=0.007183 Batch=179, step=22980, lr=0.104500, batch loss=0.010756, epoch loss=0.017939 Batch=239, step=23040, lr=0.104250, batch loss=0.008616, epoch loss=0.026556 Batch=299, step=23100, lr=0.104000, batch loss=0.007611, epoch loss=0.034167 Batch=359, step=23160, lr=0.103750, batch loss=0.011465, epoch loss=0.045632 Batch=419, step=23220, lr=0.103500, batch loss=0.010296, epoch loss=0.055927 Batch=479, step=23280, lr=0.103250, batch loss=0.002352, epoch loss=0.058279 Batch=539, step=23340, lr=0.103000, batch loss=0.017391, epoch loss=0.075670 Batch=599, step=23400, lr=0.102750, batch loss=0.013340, epoch loss=0.089010 Batch=659, step=23460, lr=0.102500, batch loss=0.011536, epoch loss=0.100546 Batch=719, step=23520, lr=0.102250, batch loss=0.011678, epoch loss=0.112224 Batch=779, step=23580, lr=0.102000, batch loss=0.019062, epoch loss=0.131286 Batch=839, step=23640, lr=0.101750, batch loss=0.025792, epoch loss=0.157078 Batch=899, step=23700, lr=0.101500, batch loss=0.022197, epoch loss=0.179275 Batch=959, step=23760, lr=0.101250, batch loss=0.008508, epoch loss=0.187783 Batch=1019, step=23820, lr=0.101000, batch loss=0.008919, epoch loss=0.196702 Batch=1079, step=23880, lr=0.100750, batch loss=0.000793, epoch loss=0.197494 Batch=1139, step=23940, lr=0.100500, batch loss=0.008454, epoch loss=0.205948 Batch=1199, step=24000, lr=0.100250, batch loss=0.004474, epoch loss=0.210422 Epoch=19, step=24000, lr=0.100250, epoch loss=0.210422 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:49.09 ---> saved as "281c907c74b4a681880b6fde1b1fb77c9856ae4e67ce64bceb77fc42d688aa85" Job succeeded 2025-03-21 14:49.10: Job succeeded