2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f874a4ef cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 # ubuntu-24.04-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 12:35.26: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) (comment ubuntu-24.04-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:35.56: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-21 12:36.57 ---> saved as "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" /: (comment ubuntu-24.04-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 12:36.58 ---> saved as "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" /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. Continue? [y/n] y 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. [NOTE] The 'jobs' option was reset, its value was 255 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=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 12:39.03 ---> saved as "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" /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 12:39.04 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:39.04 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" /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 12:40.22 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:40.22 ---> saved as "940d474abf2849215e847200ba064d0fc61355e3af095775ce641679542dce8a" /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 12:40.28 ---> saved as "bf7ed5143891e6898c32547d9d05a2f8eab0d2d7bd65edee61534692dfeea77d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:40.28 ---> saved as "ee723431bb7c77d4113dc23cf793f897c44132a8bbfa0d041394a281878b0552" /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://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Get:2 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Hit:3 http://archive.ubuntu.com/ubuntu noble InRelease - Get:4 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:6 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1351 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [16.5 kB] - Fetched 6698 kB in 1s (6068 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 libpkgconf3: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 ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-03-21 12:41.02 ---> saved as "3c2bd7aecb5c86d840b9a63a5f3bc860e8a6e04dcc0a33d6be3a9b3e19f4539f" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved 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 ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> 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 uucp.16.0.0 -> installed printbox-text.0.12 -> installed base.v0.17.1 -> installed printbox-md.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed printbox-ext-plot.0.12 -> 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_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:44.20 ---> saved as "84d9a5630f01f5c5f0932552692517a76658d4c0015cf15daedc762eeca56a2d" /src: (copy (src .) (dst /src)) 2025-03-21 12:44.21 ---> saved as "d51b3f50acba2379c408e9774cbc8909126657a1acfd9c839af5b94c429202f6" /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/7898200df557bc1c56560b0624db2d63/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/74e75fb759f682fc155b05c247963f3e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7898200df557bc1c56560b0624db2d63/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/7898200df557bc1c56560b0624db2d63/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196250, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245149, epoch loss=44.035556 Batch=1019, step=1020, lr=0.196000, batch loss=0.466512, epoch loss=44.502068 Batch=1079, step=1080, lr=0.195750, batch loss=0.248801, epoch loss=44.750869 Batch=1139, step=1140, lr=0.195500, batch loss=0.317443, epoch loss=45.068312 Batch=1199, step=1200, lr=0.195250, batch loss=0.263701, epoch loss=45.332012 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332012 Batch=59, step=1260, lr=0.195000, batch loss=0.262150, epoch loss=0.262150 Batch=119, step=1320, lr=0.194750, batch loss=0.205247, epoch loss=0.467397 Batch=179, step=1380, lr=0.194500, batch loss=0.243653, epoch loss=0.711049 Batch=239, step=1440, lr=0.194250, batch loss=0.347899, epoch loss=1.058948 Batch=299, step=1500, lr=0.194000, batch loss=0.247360, epoch loss=1.306308 Batch=359, step=1560, lr=0.193750, batch loss=0.316569, epoch loss=1.622877 Batch=419, step=1620, lr=0.193500, batch loss=0.312741, epoch loss=1.935618 Batch=479, step=1680, lr=0.193250, batch loss=0.276271, epoch loss=2.211889 Batch=539, step=1740, lr=0.193000, batch loss=0.209834, epoch loss=2.421723 Batch=599, step=1800, lr=0.192750, batch loss=0.250393, epoch loss=2.672116 Batch=659, step=1860, lr=0.192500, batch loss=0.367203, epoch loss=3.039319 Batch=719, step=1920, lr=0.192250, batch loss=0.354915, epoch loss=3.394234 Batch=779, step=1980, lr=0.192000, batch loss=0.381380, epoch loss=3.775614 Batch=839, step=2040, lr=0.191750, batch loss=0.339640, epoch loss=4.115254 Batch=899, step=2100, lr=0.191500, batch loss=0.295239, epoch loss=4.410492 Batch=959, step=2160, lr=0.191000, batch loss=0.214024, epoch loss=4.624516 Batch=1019, step=2220, lr=0.191000, batch loss=0.330887, epoch loss=4.955404 Batch=1079, step=2280, lr=0.190500, batch loss=0.208347, epoch loss=5.163751 Batch=1139, step=2340, lr=0.190500, batch loss=0.278037, epoch loss=5.441788 Batch=1199, step=2400, lr=0.190250, batch loss=0.220918, epoch loss=5.662705 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662705 Batch=59, step=2460, lr=0.190000, batch loss=0.230515, epoch loss=0.230515 Batch=119, step=2520, lr=0.189750, batch loss=0.195811, epoch loss=0.426326 Batch=179, step=2580, lr=0.189500, batch loss=0.221208, epoch loss=0.647535 Batch=239, step=2640, lr=0.189250, batch loss=0.328083, epoch loss=0.975618 Batch=299, step=2700, lr=0.189000, batch loss=0.202844, epoch loss=1.178462 Batch=359, step=2760, lr=0.188750, batch loss=0.288332, epoch loss=1.466794 Batch=419, step=2820, lr=0.188500, batch loss=0.280176, epoch loss=1.746970 Batch=479, step=2880, lr=0.188250, batch loss=0.251446, epoch loss=1.998416 Batch=539, step=2940, lr=0.188000, batch loss=0.191263, epoch loss=2.189679 Batch=599, step=3000, lr=0.187750, batch loss=0.224172, epoch loss=2.413851 Batch=659, step=3060, lr=0.187500, batch loss=0.330818, epoch loss=2.744668 Batch=719, step=3120, lr=0.187250, batch loss=0.333643, epoch loss=3.078312 Batch=779, step=3180, lr=0.187000, batch loss=0.354835, epoch loss=3.433146 Batch=839, step=3240, lr=0.186750, batch loss=0.327591, epoch loss=3.760737 Batch=899, step=3300, lr=0.186500, batch loss=0.296163, epoch loss=4.056900 Batch=959, step=3360, lr=0.186250, batch loss=0.239770, epoch loss=4.296670 Batch=1019, step=3420, lr=0.185750, batch loss=0.352490, epoch loss=4.649160 Batch=1079, step=3480, lr=0.185750, batch loss=0.231676, epoch loss=4.880836 Batch=1139, step=3540, lr=0.185500, batch loss=0.263972, epoch loss=5.144808 Batch=1199, step=3600, lr=0.185250, batch loss=0.199592, epoch loss=5.344400 Epoch=2, step=3600, lr=0.185250, epoch loss=5.344400 Batch=59, step=3660, lr=0.185000, batch loss=0.221360, epoch loss=0.221360 Batch=119, step=3720, lr=0.184750, batch loss=0.184547, epoch loss=0.405907 Batch=179, step=3780, lr=0.184500, batch loss=0.210705, epoch loss=0.616611 Batch=239, step=3840, lr=0.184250, batch loss=0.314927, epoch loss=0.931538 Batch=299, step=3900, lr=0.184000, batch loss=0.203156, epoch loss=1.134695 Batch=359, step=3960, lr=0.183750, batch loss=0.281371, epoch loss=1.416066 Batch=419, step=4020, lr=0.183500, batch loss=0.271379, epoch loss=1.687445 Batch=479, step=4080, lr=0.183250, batch loss=0.245521, epoch loss=1.932966 Batch=539, step=4140, lr=0.183000, batch loss=0.194065, epoch loss=2.127031 Batch=599, step=4200, lr=0.182750, batch loss=0.234108, epoch loss=2.361139 Batch=659, step=4260, lr=0.182500, batch loss=0.333213, epoch loss=2.694352 Batch=719, step=4320, lr=0.182000, batch loss=0.343647, epoch loss=3.037999 Batch=779, step=4380, lr=0.182000, batch loss=0.348694, epoch loss=3.386693 Batch=839, step=4440, lr=0.181750, batch loss=0.317065, epoch loss=3.703758 Batch=899, step=4500, lr=0.181500, batch loss=0.283826, epoch loss=3.987584 Batch=959, step=4560, lr=0.181250, batch loss=0.242626, epoch loss=4.230209 Batch=1019, step=4620, lr=0.181000, batch loss=0.344689, epoch loss=4.574899 Batch=1079, step=4680, lr=0.180750, batch loss=0.218792, epoch loss=4.793691 Batch=1139, step=4740, lr=0.180500, batch loss=0.248575, epoch loss=5.042266 Batch=1199, step=4800, lr=0.180250, batch loss=0.190616, epoch loss=5.232882 Epoch=3, step=4800, lr=0.180250, epoch loss=5.232882 Batch=59, step=4860, lr=0.180000, batch loss=0.227843, epoch loss=0.227843 Batch=119, step=4920, lr=0.179750, batch loss=0.189760, epoch loss=0.417603 Batch=179, step=4980, lr=0.179500, batch loss=0.206175, epoch loss=0.623778 Batch=239, step=5040, lr=0.179250, batch loss=0.307133, epoch loss=0.930911 Batch=299, step=5100, lr=0.178750, batch loss=0.208091, epoch loss=1.139002 Batch=359, step=5160, lr=0.178750, batch loss=0.275640, epoch loss=1.414642 Batch=419, step=5220, lr=0.178500, batch loss=0.267927, epoch loss=1.682570 Batch=479, step=5280, lr=0.178250, batch loss=0.246703, epoch loss=1.929273 Batch=539, step=5340, lr=0.177750, batch loss=0.192236, epoch loss=2.121509 Batch=599, step=5400, lr=0.177750, batch loss=0.228566, epoch loss=2.350076 Batch=659, step=5460, lr=0.177500, batch loss=0.325705, epoch loss=2.675780 Batch=719, step=5520, lr=0.177000, batch loss=0.335015, epoch loss=3.010796 Batch=779, step=5580, lr=0.177000, batch loss=0.344597, epoch loss=3.355392 Batch=839, step=5640, lr=0.176750, batch loss=0.308754, epoch loss=3.664147 Batch=899, step=5700, lr=0.176500, batch loss=0.272358, epoch loss=3.936504 Batch=959, step=5760, lr=0.176250, batch loss=0.215907, epoch loss=4.152411 Batch=1019, step=5820, lr=0.175750, batch loss=0.335494, epoch loss=4.487905 Batch=1079, step=5880, lr=0.175750, batch loss=0.186355, epoch loss=4.674260 Batch=1139, step=5940, lr=0.175500, batch loss=0.220761, epoch loss=4.895021 Batch=1199, step=6000, lr=0.175250, batch loss=0.185965, epoch loss=5.080986 Epoch=4, step=6000, lr=0.175250, epoch loss=5.080986 Batch=59, step=6060, lr=0.175000, batch loss=0.224190, epoch loss=0.224190 Batch=119, step=6120, lr=0.174750, batch loss=0.185962, epoch loss=0.410152 Batch=179, step=6180, lr=0.174500, batch loss=0.201207, epoch loss=0.611359 Batch=239, step=6240, lr=0.174250, batch loss=0.299368, epoch loss=0.910727 Batch=299, step=6300, lr=0.174000, batch loss=0.205749, epoch loss=1.116476 Batch=359, step=6360, lr=0.173750, batch loss=0.266997, epoch loss=1.383472 Batch=419, step=6420, lr=0.173500, batch loss=0.264552, epoch loss=1.648024 Batch=479, step=6480, lr=0.173250, batch loss=0.244871, epoch loss=1.892896 Batch=539, step=6540, lr=0.173000, batch loss=0.192490, epoch loss=2.085386 Batch=599, step=6600, lr=0.172750, batch loss=0.236822, epoch loss=2.322207 Batch=659, step=6660, lr=0.172500, batch loss=0.311694, epoch loss=2.633902 Batch=719, step=6720, lr=0.172250, batch loss=0.313635, epoch loss=2.947537 Batch=779, step=6780, lr=0.172000, batch loss=0.333630, epoch loss=3.281167 Batch=839, step=6840, lr=0.171750, batch loss=0.302672, epoch loss=3.583839 Batch=899, step=6900, lr=0.171500, batch loss=0.269016, epoch loss=3.852855 Batch=959, step=6960, lr=0.171250, batch loss=0.209049, epoch loss=4.061904 Batch=1019, step=7020, lr=0.171000, batch loss=0.332351, epoch loss=4.394255 Batch=1079, step=7080, lr=0.170750, batch loss=0.199500, epoch loss=4.593754 Batch=1139, step=7140, lr=0.170500, batch loss=0.229026, epoch loss=4.822781 Batch=1199, step=7200, lr=0.170250, batch loss=0.179118, epoch loss=5.001899 Epoch=5, step=7200, lr=0.170250, epoch loss=5.001899 Batch=59, step=7260, lr=0.170000, batch loss=0.216197, epoch loss=0.216197 Batch=119, step=7320, lr=0.169750, batch loss=0.181442, epoch loss=0.397639 Batch=179, step=7380, lr=0.169500, batch loss=0.196273, epoch loss=0.593911 Batch=239, step=7440, lr=0.169250, batch loss=0.291900, epoch loss=0.885812 Batch=299, step=7500, lr=0.169000, batch loss=0.199516, epoch loss=1.085328 Batch=359, step=7560, lr=0.168750, batch loss=0.259614, epoch loss=1.344941 Batch=419, step=7620, lr=0.168500, batch loss=0.255933, epoch loss=1.600874 Batch=479, step=7680, lr=0.168250, batch loss=0.237203, epoch loss=1.838077 Batch=539, step=7740, lr=0.168000, batch loss=0.187273, epoch loss=2.025349 Batch=599, step=7800, lr=0.167750, batch loss=0.225918, epoch loss=2.251268 Batch=659, step=7860, lr=0.167500, batch loss=0.304316, epoch loss=2.555584 Batch=719, step=7920, lr=0.167250, batch loss=0.310031, epoch loss=2.865614 Batch=779, step=7980, lr=0.167000, batch loss=0.328444, epoch loss=3.194058 Batch=839, step=8040, lr=0.166750, batch loss=0.291560, epoch loss=3.485618 Batch=899, step=8100, lr=0.166500, batch loss=0.257929, epoch loss=3.743547 Batch=959, step=8160, lr=0.166250, batch loss=0.203451, epoch loss=3.946999 Batch=1019, step=8220, lr=0.166000, batch loss=0.317815, epoch loss=4.264814 Batch=1079, step=8280, lr=0.165750, batch loss=0.172124, epoch loss=4.436938 Batch=1139, step=8340, lr=0.165500, batch loss=0.206504, epoch loss=4.643441 Batch=1199, step=8400, lr=0.165250, batch loss=0.178693, epoch loss=4.822134 Epoch=6, step=8400, lr=0.165250, epoch loss=4.822134 Batch=59, step=8460, lr=0.165000, batch loss=0.229320, epoch loss=0.229320 Batch=119, step=8520, lr=0.164750, batch loss=0.174552, epoch loss=0.403872 Batch=179, step=8580, lr=0.164500, batch loss=0.187126, epoch loss=0.590997 Batch=239, step=8640, lr=0.164250, batch loss=0.276094, epoch loss=0.867091 Batch=299, step=8700, lr=0.164000, batch loss=0.193977, epoch loss=1.061068 Batch=359, step=8760, lr=0.163750, batch loss=0.248685, epoch loss=1.309752 Batch=419, step=8820, lr=0.163500, batch loss=0.243849, epoch loss=1.553602 Batch=479, step=8880, lr=0.163250, batch loss=0.229435, epoch loss=1.783037 Batch=539, step=8940, lr=0.163000, batch loss=0.176715, epoch loss=1.959751 Batch=599, step=9000, lr=0.162750, batch loss=0.219101, epoch loss=2.178852 Batch=659, step=9060, lr=0.162500, batch loss=0.292870, epoch loss=2.471722 Batch=719, step=9120, lr=0.162250, batch loss=0.296997, epoch loss=2.768719 Batch=779, step=9180, lr=0.162000, batch loss=0.314155, epoch loss=3.082874 Batch=839, step=9240, lr=0.161500, batch loss=0.281785, epoch loss=3.364659 Batch=899, step=9300, lr=0.161250, batch loss=0.252468, epoch loss=3.617127 Batch=959, step=9360, lr=0.161250, batch loss=0.188228, epoch loss=3.805355 Batch=1019, step=9420, lr=0.161000, batch loss=0.318989, epoch loss=4.124344 Batch=1079, step=9480, lr=0.160750, batch loss=0.185160, epoch loss=4.309504 Batch=1139, step=9540, lr=0.160500, batch loss=0.207177, epoch loss=4.516681 Batch=1199, step=9600, lr=0.160250, batch loss=0.165907, epoch loss=4.682588 Epoch=7, step=9600, lr=0.160250, epoch loss=4.682588 Batch=59, step=9660, lr=0.160000, batch loss=0.201331, epoch loss=0.201331 Batch=119, step=9720, lr=0.159750, batch loss=0.162428, epoch loss=0.363759 Batch=179, step=9780, lr=0.159500, batch loss=0.178674, epoch loss=0.542434 Batch=239, step=9840, lr=0.159250, batch loss=0.260444, epoch loss=0.802878 Batch=299, step=9900, lr=0.159000, batch loss=0.186798, epoch loss=0.989676 Batch=359, step=9960, lr=0.158750, batch loss=0.241627, epoch loss=1.231303 Batch=419, step=10020, lr=0.158500, batch loss=0.231197, epoch loss=1.462500 Batch=479, step=10080, lr=0.158250, batch loss=0.212592, epoch loss=1.675092 Batch=539, step=10140, lr=0.158000, batch loss=0.171915, epoch loss=1.847007 Batch=599, step=10200, lr=0.157750, batch loss=0.200505, epoch loss=2.047512 Batch=659, step=10260, lr=0.157500, batch loss=0.280929, epoch loss=2.328442 Batch=719, step=10320, lr=0.157250, batch loss=0.287888, epoch loss=2.616329 Batch=779, step=10380, lr=0.157000, batch loss=0.293742, epoch loss=2.910071 Batch=839, step=10440, lr=0.156750, batch loss=0.266537, epoch loss=3.176608 Batch=899, step=10500, lr=0.156500, batch loss=0.241307, epoch loss=3.417915 Batch=959, step=10560, lr=0.156250, batch loss=0.199627, epoch loss=3.617542 Batch=1019, step=10620, lr=0.156000, batch loss=0.279517, epoch loss=3.897059 Batch=1079, step=10680, lr=0.155750, batch loss=0.149804, epoch loss=4.046864 Batch=1139, step=10740, lr=0.155500, batch loss=0.180380, epoch loss=4.227243 Batch=1199, step=10800, lr=0.155250, batch loss=0.164634, epoch loss=4.391877 Epoch=8, step=10800, lr=0.155250, epoch loss=4.391877 Batch=59, step=10860, lr=0.155000, batch loss=0.191187, epoch loss=0.191187 Batch=119, step=10920, lr=0.154750, batch loss=0.164379, epoch loss=0.355566 Batch=179, step=10980, lr=0.154500, batch loss=0.165520, epoch loss=0.521086 Batch=239, step=11040, lr=0.154250, batch loss=0.242240, epoch loss=0.763327 Batch=299, step=11100, lr=0.154000, batch loss=0.167281, epoch loss=0.930608 Batch=359, step=11160, lr=0.153750, batch loss=0.221537, epoch loss=1.152145 Batch=419, step=11220, lr=0.153500, batch loss=0.217662, epoch loss=1.369806 Batch=479, step=11280, lr=0.153000, batch loss=0.209832, epoch loss=1.579638 Batch=539, step=11340, lr=0.153000, batch loss=0.164099, epoch loss=1.743737 Batch=599, step=11400, lr=0.152500, batch loss=0.177589, epoch loss=1.921326 Batch=659, step=11460, lr=0.152500, batch loss=0.264524, epoch loss=2.185851 Batch=719, step=11520, lr=0.152250, batch loss=0.259807, epoch loss=2.445658 Batch=779, step=11580, lr=0.152000, batch loss=0.272412, epoch loss=2.718070 Batch=839, step=11640, lr=0.151750, batch loss=0.256323, epoch loss=2.974393 Batch=899, step=11700, lr=0.151500, batch loss=0.212116, epoch loss=3.186508 Batch=959, step=11760, lr=0.151000, batch loss=0.170034, epoch loss=3.356543 Batch=1019, step=11820, lr=0.151000, batch loss=0.265069, epoch loss=3.621612 Batch=1079, step=11880, lr=0.150500, batch loss=0.136906, epoch loss=3.758518 Batch=1139, step=11940, lr=0.150500, batch loss=0.164526, epoch loss=3.923044 Batch=1199, step=12000, lr=0.150250, batch loss=0.139642, epoch loss=4.062687 Epoch=9, step=12000, lr=0.150250, epoch loss=4.062687 Batch=59, step=12060, lr=0.150000, batch loss=0.169113, epoch loss=0.169113 Batch=119, step=12120, lr=0.149750, batch loss=0.151318, epoch loss=0.320431 Batch=179, step=12180, lr=0.149500, batch loss=0.150034, epoch loss=0.470466 Batch=239, step=12240, lr=0.149250, batch loss=0.219282, epoch loss=0.689748 Batch=299, step=12300, lr=0.148750, batch loss=0.139839, epoch loss=0.829587 Batch=359, step=12360, lr=0.148750, batch loss=0.196101, epoch loss=1.025688 Batch=419, step=12420, lr=0.148500, batch loss=0.208530, epoch loss=1.234218 Batch=479, step=12480, lr=0.148000, batch loss=0.175918, epoch loss=1.410136 Batch=539, step=12540, lr=0.148000, batch loss=0.143872, epoch loss=1.554007 Batch=599, step=12600, lr=0.147750, batch loss=0.147625, epoch loss=1.701632 Batch=659, step=12660, lr=0.147500, batch loss=0.219690, epoch loss=1.921322 Batch=719, step=12720, lr=0.147250, batch loss=0.225733, epoch loss=2.147056 Batch=779, step=12780, lr=0.147000, batch loss=0.240398, epoch loss=2.387454 Batch=839, step=12840, lr=0.146750, batch loss=0.227867, epoch loss=2.615320 Batch=899, step=12900, lr=0.146500, batch loss=0.202904, epoch loss=2.818225 Batch=959, step=12960, lr=0.146250, batch loss=0.147188, epoch loss=2.965412 Batch=1019, step=13020, lr=0.146000, batch loss=0.255298, epoch loss=3.220710 Batch=1079, step=13080, lr=0.145750, batch loss=0.120420, epoch loss=3.341130 Batch=1139, step=13140, lr=0.145500, batch loss=0.158042, epoch loss=3.499172 Batch=1199, step=13200, lr=0.145250, batch loss=0.118000, epoch loss=3.617172 Epoch=10, step=13200, lr=0.145250, epoch loss=3.617172 Batch=59, step=13260, lr=0.145000, batch loss=0.141369, epoch loss=0.141369 Batch=119, step=13320, lr=0.144750, batch loss=0.119165, epoch loss=0.260534 Batch=179, step=13380, lr=0.144500, batch loss=0.127291, epoch loss=0.387825 Batch=239, step=13440, lr=0.144250, batch loss=0.191815, epoch loss=0.579641 Batch=299, step=13500, lr=0.144000, batch loss=0.115066, epoch loss=0.694707 Batch=359, step=13560, lr=0.143750, batch loss=0.160226, epoch loss=0.854933 Batch=419, step=13620, lr=0.143500, batch loss=0.160972, epoch loss=1.015905 Batch=479, step=13680, lr=0.143250, batch loss=0.144992, epoch loss=1.160898 Batch=539, step=13740, lr=0.143000, batch loss=0.118167, epoch loss=1.279065 Batch=599, step=13800, lr=0.142750, batch loss=0.118803, epoch loss=1.397868 Batch=659, step=13860, lr=0.142500, batch loss=0.175487, epoch loss=1.573355 Batch=719, step=13920, lr=0.142250, batch loss=0.170663, epoch loss=1.744018 Batch=779, step=13980, lr=0.142000, batch loss=0.178359, epoch loss=1.922377 Batch=839, step=14040, lr=0.141750, batch loss=0.203195, epoch loss=2.125573 Batch=899, step=14100, lr=0.141500, batch loss=0.226325, epoch loss=2.351897 Batch=959, step=14160, lr=0.141250, batch loss=0.102646, epoch loss=2.454544 Batch=1019, step=14220, lr=0.141000, batch loss=0.194171, epoch loss=2.648715 Batch=1079, step=14280, lr=0.140750, batch loss=0.081482, epoch loss=2.730197 Batch=1139, step=14340, lr=0.140500, batch loss=0.126202, epoch loss=2.856398 Batch=1199, step=14400, lr=0.140250, batch loss=0.085498, epoch loss=2.941897 Epoch=11, step=14400, lr=0.140250, epoch loss=2.941897 Batch=59, step=14460, lr=0.140000, batch loss=0.103258, epoch loss=0.103258 Batch=119, step=14520, lr=0.139750, batch loss=0.105435, epoch loss=0.208692 Batch=179, step=14580, lr=0.139500, batch loss=0.099841, epoch loss=0.308534 Batch=239, step=14640, lr=0.139250, batch loss=0.139663, epoch loss=0.448196 Batch=299, step=14700, lr=0.139000, batch loss=0.074619, epoch loss=0.522815 Batch=359, step=14760, lr=0.138750, batch loss=0.119553, epoch loss=0.642368 Batch=419, step=14820, lr=0.138500, batch loss=0.133357, epoch loss=0.775726 Batch=479, step=14880, lr=0.138250, batch loss=0.094637, epoch loss=0.870363 Batch=539, step=14940, lr=0.138000, batch loss=0.103306, epoch loss=0.973669 Batch=599, step=15000, lr=0.137750, batch loss=0.082636, epoch loss=1.056305 Batch=659, step=15060, lr=0.137500, batch loss=0.135106, epoch loss=1.191411 Batch=719, step=15120, lr=0.137250, batch loss=0.168966, epoch loss=1.360377 Batch=779, step=15180, lr=0.137000, batch loss=0.334459, epoch loss=1.694836 Batch=839, step=15240, lr=0.136750, batch loss=0.131847, epoch loss=1.826683 Batch=899, step=15300, lr=0.136500, batch loss=0.109655, epoch loss=1.936337 Batch=959, step=15360, lr=0.136250, batch loss=0.101445, epoch loss=2.037782 Batch=1019, step=15420, lr=0.136000, batch loss=0.172392, epoch loss=2.210174 Batch=1079, step=15480, lr=0.135750, batch loss=0.039678, epoch loss=2.249852 Batch=1139, step=15540, lr=0.135500, batch loss=0.093709, epoch loss=2.343561 Batch=1199, step=15600, lr=0.135250, batch loss=0.058758, epoch loss=2.402319 Epoch=12, step=15600, lr=0.135250, epoch loss=2.402319 Batch=59, step=15660, lr=0.135000, batch loss=0.074980, epoch loss=0.074980 Batch=119, step=15720, lr=0.134750, batch loss=0.120603, epoch loss=0.195583 Batch=179, step=15780, lr=0.134500, batch loss=0.093267, epoch loss=0.288850 Batch=239, step=15840, lr=0.134250, batch loss=0.094709, epoch loss=0.383559 Batch=299, step=15900, lr=0.134000, batch loss=0.038203, epoch loss=0.421762 Batch=359, step=15960, lr=0.133500, batch loss=0.082113, epoch loss=0.503875 Batch=419, step=16020, lr=0.133500, batch loss=0.078411, epoch loss=0.582286 Batch=479, step=16080, lr=0.133250, batch loss=0.057245, epoch loss=0.639531 Batch=539, step=16140, lr=0.133000, batch loss=0.068116, epoch loss=0.707647 Batch=599, step=16200, lr=0.132750, batch loss=0.174013, epoch loss=0.881660 Batch=659, step=16260, lr=0.132500, batch loss=0.096768, epoch loss=0.978428 Batch=719, step=16320, lr=0.132250, batch loss=0.124406, epoch loss=1.102834 Batch=779, step=16380, lr=0.132000, batch loss=0.289560, epoch loss=1.392394 Batch=839, step=16440, lr=0.131750, batch loss=0.093222, epoch loss=1.485617 Batch=899, step=16500, lr=0.131500, batch loss=0.084271, epoch loss=1.569887 Batch=959, step=16560, lr=0.131250, batch loss=0.031978, epoch loss=1.601865 Batch=1019, step=16620, lr=0.131000, batch loss=0.057490, epoch loss=1.659355 Batch=1079, step=16680, lr=0.130750, batch loss=0.058810, epoch loss=1.718165 Batch=1139, step=16740, lr=0.130500, batch loss=0.101588, epoch loss=1.819753 Batch=1199, step=16800, lr=0.130250, batch loss=0.048587, epoch loss=1.868340 Epoch=13, step=16800, lr=0.130250, epoch loss=1.868340 Batch=59, step=16860, lr=0.130000, batch loss=0.034419, epoch loss=0.034419 Batch=119, step=16920, lr=0.129750, batch loss=0.034533, epoch loss=0.068951 Batch=179, step=16980, lr=0.129500, batch loss=0.043356, epoch loss=0.112307 Batch=239, step=17040, lr=0.129250, batch loss=0.059322, epoch loss=0.171629 Batch=299, step=17100, lr=0.129000, batch loss=0.018397, epoch loss=0.190026 Batch=359, step=17160, lr=0.128750, batch loss=0.041744, epoch loss=0.231770 Batch=419, step=17220, lr=0.128500, batch loss=0.045834, epoch loss=0.277605 Batch=479, step=17280, lr=0.128250, batch loss=0.037683, epoch loss=0.315287 Batch=539, step=17340, lr=0.128000, batch loss=0.095712, epoch loss=0.410999 Batch=599, step=17400, lr=0.127750, batch loss=0.041720, epoch loss=0.452719 Batch=659, step=17460, lr=0.127500, batch loss=0.051638, epoch loss=0.504358 Batch=719, step=17520, lr=0.127250, batch loss=0.045345, epoch loss=0.549702 Batch=779, step=17580, lr=0.127000, batch loss=0.078587, epoch loss=0.628289 Batch=839, step=17640, lr=0.126750, batch loss=0.075010, epoch loss=0.703299 Batch=899, step=17700, lr=0.126500, batch loss=0.090354, epoch loss=0.793654 Batch=959, step=17760, lr=0.126000, batch loss=0.039429, epoch loss=0.833082 Batch=1019, step=17820, lr=0.126000, batch loss=0.070461, epoch loss=0.903543 Batch=1079, step=17880, lr=0.125750, batch loss=0.018158, epoch loss=0.921702 Batch=1139, step=17940, lr=0.125500, batch loss=0.036018, epoch loss=0.957720 Batch=1199, step=18000, lr=0.125250, batch loss=0.016520, epoch loss=0.974240 Epoch=14, step=18000, lr=0.125250, epoch loss=0.974240 Batch=59, step=18060, lr=0.125000, batch loss=0.012826, epoch loss=0.012826 Batch=119, step=18120, lr=0.124750, batch loss=0.030872, epoch loss=0.043698 Batch=179, step=18180, lr=0.124500, batch loss=0.078456, epoch loss=0.122155 Batch=239, step=18240, lr=0.124250, batch loss=0.040027, epoch loss=0.162182 Batch=299, step=18300, lr=0.124000, batch loss=0.011082, epoch loss=0.173264 Batch=359, step=18360, lr=0.123750, batch loss=0.029723, epoch loss=0.202987 Batch=419, step=18420, lr=0.123250, batch loss=0.029283, epoch loss=0.232271 Batch=479, step=18480, lr=0.123250, batch loss=0.010142, epoch loss=0.242412 Batch=539, step=18540, lr=0.123000, batch loss=0.019572, epoch loss=0.261984 Batch=599, step=18600, lr=0.122750, batch loss=0.025188, epoch loss=0.287172 Batch=659, step=18660, lr=0.122500, batch loss=0.029692, epoch loss=0.316864 Batch=719, step=18720, lr=0.122250, batch loss=0.061633, epoch loss=0.378497 Batch=779, step=18780, lr=0.122000, batch loss=0.095837, epoch loss=0.474334 Batch=839, step=18840, lr=0.121750, batch loss=0.068650, epoch loss=0.542984 Batch=899, step=18900, lr=0.121500, batch loss=0.085544, epoch loss=0.628528 Batch=959, step=18960, lr=0.121250, batch loss=0.014162, epoch loss=0.642691 Batch=1019, step=19020, lr=0.121000, batch loss=0.021607, epoch loss=0.664298 Batch=1079, step=19080, lr=0.120750, batch loss=0.006438, epoch loss=0.670736 Batch=1139, step=19140, lr=0.120500, batch loss=0.024790, epoch loss=0.695526 Batch=1199, step=19200, lr=0.120250, batch loss=0.010799, epoch loss=0.706325 Epoch=15, step=19200, lr=0.120250, epoch loss=0.706325 Batch=59, step=19260, lr=0.120000, batch loss=0.004896, epoch loss=0.004896 Batch=119, step=19320, lr=0.119750, batch loss=0.016932, epoch loss=0.021827 Batch=179, step=19380, lr=0.119500, batch loss=0.033552, epoch loss=0.055379 Batch=239, step=19440, lr=0.119250, batch loss=0.021196, epoch loss=0.076575 Batch=299, step=19500, lr=0.119000, batch loss=0.005041, epoch loss=0.081617 Batch=359, step=19560, lr=0.118750, batch loss=0.018126, epoch loss=0.099742 Batch=419, step=19620, lr=0.118500, batch loss=0.019034, epoch loss=0.118776 Batch=479, step=19680, lr=0.118000, batch loss=0.005823, epoch loss=0.124599 Batch=539, step=19740, lr=0.118000, batch loss=0.026193, epoch loss=0.150792 Batch=599, step=19800, lr=0.117750, batch loss=0.027876, epoch loss=0.178668 Batch=659, step=19860, lr=0.117500, batch loss=0.015462, epoch loss=0.194130 Batch=719, step=19920, lr=0.117250, batch loss=0.036199, epoch loss=0.230329 Batch=779, step=19980, lr=0.117000, batch loss=0.076187, epoch loss=0.306516 Batch=839, step=20040, lr=0.116750, batch loss=0.031260, epoch loss=0.337776 Batch=899, step=20100, lr=0.116500, batch loss=0.028901, epoch loss=0.366677 Batch=959, step=20160, lr=0.116250, batch loss=0.016650, epoch loss=0.383327 Batch=1019, step=20220, lr=0.116000, batch loss=0.017131, epoch loss=0.400458 Batch=1079, step=20280, lr=0.115750, batch loss=0.001422, epoch loss=0.401880 Batch=1139, step=20340, lr=0.115500, batch loss=0.015042, epoch loss=0.416921 Batch=1199, step=20400, lr=0.115250, batch loss=0.007797, epoch loss=0.424718 Epoch=16, step=20400, lr=0.115250, epoch loss=0.424718 Batch=59, step=20460, lr=0.115000, batch loss=0.003979, epoch loss=0.003979 Batch=119, step=20520, lr=0.114750, batch loss=0.008974, epoch loss=0.012953 Batch=179, step=20580, lr=0.114500, batch loss=0.015642, epoch loss=0.028596 Batch=239, step=20640, lr=0.114250, batch loss=0.021768, epoch loss=0.050364 Batch=299, step=20700, lr=0.114000, batch loss=0.010263, epoch loss=0.060627 Batch=359, step=20760, lr=0.113750, batch loss=0.013047, epoch loss=0.073673 Batch=419, step=20820, lr=0.113500, batch loss=0.014511, epoch loss=0.088184 Batch=479, step=20880, lr=0.113250, batch loss=0.005038, epoch loss=0.093222 Batch=539, step=20940, lr=0.113000, batch loss=0.015285, epoch loss=0.108507 Batch=599, step=21000, lr=0.112750, batch loss=0.018704, epoch loss=0.127211 Batch=659, step=21060, lr=0.112500, batch loss=0.016286, epoch loss=0.143497 Batch=719, step=21120, lr=0.112250, batch loss=0.038683, epoch loss=0.182180 Batch=779, step=21180, lr=0.112000, batch loss=0.066140, epoch loss=0.248320 Batch=839, step=21240, lr=0.111750, batch loss=0.025129, epoch loss=0.273449 Batch=899, step=21300, lr=0.111500, batch loss=0.029378, epoch loss=0.302826 Batch=959, step=21360, lr=0.111250, batch loss=0.010643, epoch loss=0.313470 Batch=1019, step=21420, lr=0.110750, batch loss=0.012685, epoch loss=0.326154 Batch=1079, step=21480, lr=0.110500, batch loss=0.001454, epoch loss=0.327609 Batch=1139, step=21540, lr=0.110250, batch loss=0.012565, epoch loss=0.340174 Batch=1199, step=21600, lr=0.110250, batch loss=0.005045, epoch loss=0.345219 Epoch=17, step=21600, lr=0.110250, epoch loss=0.345219 Batch=59, step=21660, lr=0.110000, batch loss=0.001726, epoch loss=0.001726 Batch=119, step=21720, lr=0.109750, batch loss=0.006656, epoch loss=0.008381 Batch=179, step=21780, lr=0.109250, batch loss=0.013358, epoch loss=0.021740 Batch=239, step=21840, lr=0.109000, batch loss=0.015749, epoch loss=0.037489 Batch=299, step=21900, lr=0.109000, batch loss=0.003130, epoch loss=0.040620 Batch=359, step=21960, lr=0.108750, batch loss=0.010438, epoch loss=0.051058 Batch=419, step=22020, lr=0.108500, batch loss=0.011339, epoch loss=0.062397 Batch=479, step=22080, lr=0.108000, batch loss=0.002951, epoch loss=0.065348 Batch=539, step=22140, lr=0.108000, batch loss=0.018012, epoch loss=0.083360 Batch=599, step=22200, lr=0.107750, batch loss=0.016408, epoch loss=0.099768 Batch=659, step=22260, lr=0.107500, batch loss=0.015482, epoch loss=0.115250 Batch=719, step=22320, lr=0.107250, batch loss=0.025127, epoch loss=0.140377 Batch=779, step=22380, lr=0.106750, batch loss=0.035871, epoch loss=0.176249 Batch=839, step=22440, lr=0.106500, batch loss=0.026451, epoch loss=0.202699 Batch=899, step=22500, lr=0.106500, batch loss=0.025889, epoch loss=0.228588 Batch=959, step=22560, lr=0.106250, batch loss=0.008971, epoch loss=0.237559 Batch=1019, step=22620, lr=0.105750, batch loss=0.008953, epoch loss=0.246512 Batch=1079, step=22680, lr=0.105750, batch loss=0.000413, epoch loss=0.246925 Batch=1139, step=22740, lr=0.105500, batch loss=0.010570, epoch loss=0.257495 Batch=1199, step=22800, lr=0.105250, batch loss=0.004636, epoch loss=0.262131 Epoch=18, step=22800, lr=0.105250, epoch loss=0.262131 Batch=59, step=22860, lr=0.105000, batch loss=0.001722, epoch loss=0.001722 Batch=119, step=22920, lr=0.104750, batch loss=0.005369, epoch loss=0.007090 Batch=179, step=22980, lr=0.104500, batch loss=0.010591, epoch loss=0.017682 Batch=239, step=23040, lr=0.104250, batch loss=0.011543, epoch loss=0.029225 Batch=299, step=23100, lr=0.104000, batch loss=0.008044, epoch loss=0.037269 Batch=359, step=23160, lr=0.103750, batch loss=0.010991, epoch loss=0.048260 Batch=419, step=23220, lr=0.103500, batch loss=0.010542, epoch loss=0.058802 Batch=479, step=23280, lr=0.103250, batch loss=0.002404, epoch loss=0.061206 Batch=539, step=23340, lr=0.103000, batch loss=0.016849, epoch loss=0.078054 Batch=599, step=23400, lr=0.102750, batch loss=0.013694, epoch loss=0.091748 Batch=659, step=23460, lr=0.102500, batch loss=0.010272, epoch loss=0.102020 Batch=719, step=23520, lr=0.102250, batch loss=0.014390, epoch loss=0.116410 Batch=779, step=23580, lr=0.102000, batch loss=0.021981, epoch loss=0.138391 Batch=839, step=23640, lr=0.101750, batch loss=0.027610, epoch loss=0.166001 Batch=899, step=23700, lr=0.101500, batch loss=0.021514, epoch loss=0.187515 Batch=959, step=23760, lr=0.101250, batch loss=0.010083, epoch loss=0.197598 Batch=1019, step=23820, lr=0.101000, batch loss=0.007101, epoch loss=0.204699 Batch=1079, step=23880, lr=0.100750, batch loss=0.000890, epoch loss=0.205589 Batch=1139, step=23940, lr=0.100500, batch loss=0.008602, epoch loss=0.214191 Batch=1199, step=24000, lr=0.100250, batch loss=0.004539, epoch loss=0.218730 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218730 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:45.24 ---> saved as "8bdbee9c28f2e09101aef7a62eab3e8f59cdc01b41ab40b3bcb22ec0adfe31ef" Job succeeded 2025-03-21 12:45.25: Job succeeded