2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d 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:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d # debian-12-5.3_ppc64_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:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) (comment debian-12-5.3_ppc64_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 orithia.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:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d' locally docker.io/ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d: Pulling from ocaml/opam Digest: sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Status: Downloaded newer image for ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d 2025-03-21 14:48.50 ---> using "f3507cfdd9cda6c78222b1c8f3d9d43d96f1c1996e9ce4244e4686d98b61ddea" from cache /: (comment debian-12-5.3_ppc64_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 "168c19cef79c05107b538c528fc3d832750d5bdbc3a7b41711e551bb0d81ac6c" 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 "487dda2baaa2465ab82cf99926f729a3b76add6939c52a1d289f6ad7f6b0925b" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 14:48.50 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:48.50 ---> using "f0c24e2883a704076675cde5e8701aeb7f9a6cf487764304401841caf4880948" 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 "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:48.50 ---> using "93903239a2543bd20dc18927cc0a4700513f22d2108f3ef0eedee7d2bc6bb6c8" 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 "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:48.50 ---> using "f7f08e76359f535d1ca6a8f37927ce04b2434ecd1c5e1e6ef7fb900fe2813f98" 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 ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [235 kB] - Fetched 9119 kB in 2s (5585 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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:ppc64el. - (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 ... 18718 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-03-21 14:48.50 ---> using "7f56bc83e52c7303e6b0b613be6c58b926d6986fb422146f4e92f22b56e295da" 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) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 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 num.1.5-1 -> 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 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 ppx_derivers.1.2.1 -> 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 sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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 "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-21 14:48.51 ---> saved as "09802ed1685be6161e05f9baa046df755eae391097da66ac4c9041dddae1e637" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/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/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/7db3cb7927a4673a09c8e8f71933fb60/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c8d66e5edefef5a5103d42f59f6025bb/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/c8d66e5edefef5a5103d42f59f6025bb/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=0.199000, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.198750, batch loss=1.445660, epoch loss=37.070698 Batch=359, step=360, lr=0.198750, batch loss=1.328803, epoch loss=38.399501 Batch=419, step=420, lr=0.198500, batch loss=0.619254, epoch loss=39.018755 Batch=479, step=480, lr=0.198000, batch loss=0.821775, epoch loss=39.840530 Batch=539, step=540, lr=0.198000, batch loss=0.690064, epoch loss=40.530594 Batch=599, step=600, lr=0.197750, batch loss=1.065171, epoch loss=41.595765 Batch=659, step=660, lr=0.197500, batch loss=0.483297, epoch loss=42.079062 Batch=719, step=720, lr=0.197000, batch loss=0.411380, epoch loss=42.490443 Batch=779, step=780, lr=0.196750, batch loss=0.468814, epoch loss=42.959257 Batch=839, step=840, lr=0.196750, batch loss=0.443437, epoch loss=43.402693 Batch=899, step=900, lr=0.196500, batch loss=0.383633, epoch loss=43.786327 Batch=959, step=960, lr=0.196250, batch loss=0.243336, epoch loss=44.029663 Batch=1019, step=1020, lr=0.196000, batch loss=0.454356, epoch loss=44.484019 Batch=1079, step=1080, lr=0.195750, batch loss=0.254819, epoch loss=44.738838 Batch=1139, step=1140, lr=0.195500, batch loss=0.335652, epoch loss=45.074490 Batch=1199, step=1200, lr=0.195000, batch loss=0.262451, epoch loss=45.336941 Epoch=0, step=1200, lr=0.195000, epoch loss=45.336941 Batch=59, step=1260, lr=0.194750, batch loss=0.261281, epoch loss=0.261281 Batch=119, step=1320, lr=0.194500, batch loss=0.206599, epoch loss=0.467880 Batch=179, step=1380, lr=0.194500, batch loss=0.246816, epoch loss=0.714696 Batch=239, step=1440, lr=0.194000, batch loss=0.352022, epoch loss=1.066718 Batch=299, step=1500, lr=0.194000, batch loss=0.235733, epoch loss=1.302452 Batch=359, step=1560, lr=0.193750, batch loss=0.312497, epoch loss=1.614949 Batch=419, step=1620, lr=0.193250, batch loss=0.308930, epoch loss=1.923879 Batch=479, step=1680, lr=0.193000, batch loss=0.273567, epoch loss=2.197446 Batch=539, step=1740, lr=0.193000, batch loss=0.210793, epoch loss=2.408239 Batch=599, step=1800, lr=0.192750, batch loss=0.250718, epoch loss=2.658957 Batch=659, step=1860, lr=0.192500, batch loss=0.369411, epoch loss=3.028368 Batch=719, step=1920, lr=0.192250, batch loss=0.365615, epoch loss=3.393983 Batch=779, step=1980, lr=0.192000, batch loss=0.383853, epoch loss=3.777835 Batch=839, step=2040, lr=0.191750, batch loss=0.341900, epoch loss=4.119736 Batch=899, step=2100, lr=0.191500, batch loss=0.302504, epoch loss=4.422240 Batch=959, step=2160, lr=0.191250, batch loss=0.225184, epoch loss=4.647424 Batch=1019, step=2220, lr=0.191000, batch loss=0.321654, epoch loss=4.969077 Batch=1079, step=2280, lr=0.190750, batch loss=0.188110, epoch loss=5.157188 Batch=1139, step=2340, lr=0.190500, batch loss=0.251832, epoch loss=5.409019 Batch=1199, step=2400, lr=0.190250, batch loss=0.211180, epoch loss=5.620200 Epoch=1, step=2400, lr=0.190250, epoch loss=5.620200 Batch=59, step=2460, lr=0.190000, batch loss=0.226383, epoch loss=0.226383 Batch=119, step=2520, lr=0.189750, batch loss=0.192391, epoch loss=0.418774 Batch=179, step=2580, lr=0.189500, batch loss=0.218595, epoch loss=0.637369 Batch=239, step=2640, lr=0.189000, batch loss=0.326801, epoch loss=0.964170 Batch=299, step=2700, lr=0.189000, batch loss=0.222492, epoch loss=1.186662 Batch=359, step=2760, lr=0.188500, batch loss=0.297451, epoch loss=1.484112 Batch=419, step=2820, lr=0.188250, batch loss=0.290284, epoch loss=1.774396 Batch=479, step=2880, lr=0.188250, batch loss=0.268424, epoch loss=2.042820 Batch=539, step=2940, lr=0.188000, batch loss=0.206168, epoch loss=2.248988 Batch=599, step=3000, lr=0.187750, batch loss=0.257503, epoch loss=2.506491 Batch=659, step=3060, lr=0.187250, batch loss=0.361602, epoch loss=2.868094 Batch=719, step=3120, lr=0.187250, batch loss=0.358353, epoch loss=3.226447 Batch=779, step=3180, lr=0.186750, batch loss=0.358405, epoch loss=3.584852 Batch=839, step=3240, lr=0.186750, batch loss=0.329668, epoch loss=3.914519 Batch=899, step=3300, lr=0.186250, batch loss=0.295621, epoch loss=4.210140 Batch=959, step=3360, lr=0.186000, batch loss=0.241496, epoch loss=4.451636 Batch=1019, step=3420, lr=0.186000, batch loss=0.364028, epoch loss=4.815664 Batch=1079, step=3480, lr=0.185500, batch loss=0.225790, epoch loss=5.041454 Batch=1139, step=3540, lr=0.185500, batch loss=0.260513, epoch loss=5.301967 Batch=1199, step=3600, lr=0.185250, batch loss=0.200520, epoch loss=5.502487 Epoch=2, step=3600, lr=0.185250, epoch loss=5.502487 Batch=59, step=3660, lr=0.185000, batch loss=0.222519, epoch loss=0.222519 Batch=119, step=3720, lr=0.184750, batch loss=0.184591, epoch loss=0.407109 Batch=179, step=3780, lr=0.184500, batch loss=0.212469, epoch loss=0.619578 Batch=239, step=3840, lr=0.184250, batch loss=0.317212, epoch loss=0.936790 Batch=299, step=3900, lr=0.184000, batch loss=0.203268, epoch loss=1.140059 Batch=359, step=3960, lr=0.183750, batch loss=0.283053, epoch loss=1.423112 Batch=419, step=4020, lr=0.183500, batch loss=0.272918, epoch loss=1.696029 Batch=479, step=4080, lr=0.183250, batch loss=0.252683, epoch loss=1.948712 Batch=539, step=4140, lr=0.183000, batch loss=0.190408, epoch loss=2.139120 Batch=599, step=4200, lr=0.182500, batch loss=0.236340, epoch loss=2.375460 Batch=659, step=4260, lr=0.182500, batch loss=0.331899, epoch loss=2.707359 Batch=719, step=4320, lr=0.182000, batch loss=0.343279, epoch loss=3.050638 Batch=779, step=4380, lr=0.182000, batch loss=0.350447, epoch loss=3.401085 Batch=839, step=4440, lr=0.181750, batch loss=0.317042, epoch loss=3.718127 Batch=899, step=4500, lr=0.181500, batch loss=0.286149, epoch loss=4.004276 Batch=959, step=4560, lr=0.181000, batch loss=0.239533, epoch loss=4.243809 Batch=1019, step=4620, lr=0.180750, batch loss=0.330725, epoch loss=4.574535 Batch=1079, step=4680, lr=0.180500, batch loss=0.195191, epoch loss=4.769725 Batch=1139, step=4740, lr=0.180250, batch loss=0.228055, epoch loss=4.997780 Batch=1199, step=4800, lr=0.180250, batch loss=0.193391, epoch loss=5.191171 Epoch=3, step=4800, lr=0.180250, epoch loss=5.191171 Batch=59, step=4860, lr=0.180000, batch loss=0.234337, epoch loss=0.234337 Batch=119, step=4920, lr=0.179750, batch loss=0.191633, epoch loss=0.425971 Batch=179, step=4980, lr=0.179500, batch loss=0.205854, epoch loss=0.631825 Batch=239, step=5040, lr=0.179000, batch loss=0.307117, epoch loss=0.938942 Batch=299, step=5100, lr=0.179000, batch loss=0.201123, epoch loss=1.140065 Batch=359, step=5160, lr=0.178750, batch loss=0.273775, epoch loss=1.413840 Batch=419, step=5220, lr=0.178500, batch loss=0.264826, epoch loss=1.678666 Batch=479, step=5280, lr=0.178250, batch loss=0.240636, epoch loss=1.919301 Batch=539, step=5340, lr=0.178000, batch loss=0.190906, epoch loss=2.110208 Batch=599, step=5400, lr=0.177750, batch loss=0.230658, epoch loss=2.340866 Batch=659, step=5460, lr=0.177250, batch loss=0.324623, epoch loss=2.665489 Batch=719, step=5520, lr=0.177000, batch loss=0.332757, epoch loss=2.998246 Batch=779, step=5580, lr=0.176750, batch loss=0.342527, epoch loss=3.340773 Batch=839, step=5640, lr=0.176750, batch loss=0.309231, epoch loss=3.650005 Batch=899, step=5700, lr=0.176250, batch loss=0.270795, epoch loss=3.920799 Batch=959, step=5760, lr=0.176000, batch loss=0.218293, epoch loss=4.139092 Batch=1019, step=5820, lr=0.176000, batch loss=0.335466, epoch loss=4.474558 Batch=1079, step=5880, lr=0.175500, batch loss=0.191010, epoch loss=4.665569 Batch=1139, step=5940, lr=0.175500, batch loss=0.220729, epoch loss=4.886298 Batch=1199, step=6000, lr=0.175000, batch loss=0.186129, epoch loss=5.072427 Epoch=4, step=6000, lr=0.175000, epoch loss=5.072427 Batch=59, step=6060, lr=0.175000, batch loss=0.223730, epoch loss=0.223730 Batch=119, step=6120, lr=0.174750, batch loss=0.185462, epoch loss=0.409192 Batch=179, step=6180, lr=0.174250, batch loss=0.200680, epoch loss=0.609872 Batch=239, step=6240, lr=0.174250, batch loss=0.298672, epoch loss=0.908544 Batch=299, step=6300, lr=0.174000, batch loss=0.204564, epoch loss=1.113108 Batch=359, step=6360, lr=0.173750, batch loss=0.268043, epoch loss=1.381151 Batch=419, step=6420, lr=0.173250, batch loss=0.263342, epoch loss=1.644494 Batch=479, step=6480, lr=0.173250, batch loss=0.245367, epoch loss=1.889861 Batch=539, step=6540, lr=0.173000, batch loss=0.191094, epoch loss=2.080955 Batch=599, step=6600, lr=0.172750, batch loss=0.231423, epoch loss=2.312378 Batch=659, step=6660, lr=0.172500, batch loss=0.313862, epoch loss=2.626240 Batch=719, step=6720, lr=0.172250, batch loss=0.316320, epoch loss=2.942560 Batch=779, step=6780, lr=0.171750, batch loss=0.329511, epoch loss=3.272071 Batch=839, step=6840, lr=0.171500, batch loss=0.306071, epoch loss=3.578142 Batch=899, step=6900, lr=0.171500, batch loss=0.269476, epoch loss=3.847618 Batch=959, step=6960, lr=0.171000, batch loss=0.207664, epoch loss=4.055282 Batch=1019, step=7020, lr=0.171000, batch loss=0.332603, epoch loss=4.387885 Batch=1079, step=7080, lr=0.170750, batch loss=0.198908, epoch loss=4.586793 Batch=1139, step=7140, lr=0.170500, batch loss=0.230045, epoch loss=4.816837 Batch=1199, step=7200, lr=0.170250, batch loss=0.179815, epoch loss=4.996652 Epoch=5, step=7200, lr=0.170250, epoch loss=4.996652 Batch=59, step=7260, lr=0.170000, batch loss=0.217999, epoch loss=0.217999 Batch=119, step=7320, lr=0.169750, batch loss=0.179362, epoch loss=0.397361 Batch=179, step=7380, lr=0.169500, batch loss=0.195195, epoch loss=0.592556 Batch=239, step=7440, lr=0.169000, batch loss=0.290781, epoch loss=0.883337 Batch=299, step=7500, lr=0.169000, batch loss=0.199443, epoch loss=1.082780 Batch=359, step=7560, lr=0.168750, batch loss=0.258976, epoch loss=1.341756 Batch=419, step=7620, lr=0.168250, batch loss=0.254263, epoch loss=1.596020 Batch=479, step=7680, lr=0.168000, batch loss=0.237103, epoch loss=1.833123 Batch=539, step=7740, lr=0.168000, batch loss=0.185428, epoch loss=2.018551 Batch=599, step=7800, lr=0.167500, batch loss=0.226238, epoch loss=2.244789 Batch=659, step=7860, lr=0.167500, batch loss=0.305088, epoch loss=2.549877 Batch=719, step=7920, lr=0.167000, batch loss=0.308326, epoch loss=2.858203 Batch=779, step=7980, lr=0.167000, batch loss=0.328895, epoch loss=3.187099 Batch=839, step=8040, lr=0.166750, batch loss=0.291142, epoch loss=3.478241 Batch=899, step=8100, lr=0.166250, batch loss=0.257289, epoch loss=3.735530 Batch=959, step=8160, lr=0.166000, batch loss=0.203738, epoch loss=3.939268 Batch=1019, step=8220, lr=0.166000, batch loss=0.314839, epoch loss=4.254108 Batch=1079, step=8280, lr=0.165750, batch loss=0.171403, epoch loss=4.425510 Batch=1139, step=8340, lr=0.165500, batch loss=0.206738, epoch loss=4.632249 Batch=1199, step=8400, lr=0.165000, batch loss=0.178985, epoch loss=4.811234 Epoch=6, step=8400, lr=0.165000, epoch loss=4.811234 Batch=59, step=8460, lr=0.165000, batch loss=0.228046, epoch loss=0.228046 Batch=119, step=8520, lr=0.164750, batch loss=0.175339, epoch loss=0.403385 Batch=179, step=8580, lr=0.164500, batch loss=0.186979, epoch loss=0.590364 Batch=239, step=8640, lr=0.164250, batch loss=0.276549, epoch loss=0.866913 Batch=299, step=8700, lr=0.164000, batch loss=0.201881, epoch loss=1.068794 Batch=359, step=8760, lr=0.163750, batch loss=0.250619, epoch loss=1.319413 Batch=419, step=8820, lr=0.163250, batch loss=0.242274, epoch loss=1.561687 Batch=479, step=8880, lr=0.163250, batch loss=0.221967, epoch loss=1.783654 Batch=539, step=8940, lr=0.163000, batch loss=0.185305, epoch loss=1.968959 Batch=599, step=9000, lr=0.162750, batch loss=0.210218, epoch loss=2.179176 Batch=659, step=9060, lr=0.162500, batch loss=0.294436, epoch loss=2.473613 Batch=719, step=9120, lr=0.162250, batch loss=0.295479, epoch loss=2.769092 Batch=779, step=9180, lr=0.161750, batch loss=0.314963, epoch loss=3.084055 Batch=839, step=9240, lr=0.161500, batch loss=0.287408, epoch loss=3.371463 Batch=899, step=9300, lr=0.161250, batch loss=0.250779, epoch loss=3.622242 Batch=959, step=9360, lr=0.161000, batch loss=0.191289, epoch loss=3.813531 Batch=1019, step=9420, lr=0.160750, batch loss=0.314558, epoch loss=4.128089 Batch=1079, step=9480, lr=0.160750, batch loss=0.188154, epoch loss=4.316243 Batch=1139, step=9540, lr=0.160250, batch loss=0.211578, epoch loss=4.527821 Batch=1199, step=9600, lr=0.160000, batch loss=0.167602, epoch loss=4.695423 Epoch=7, step=9600, lr=0.160000, epoch loss=4.695423 Batch=59, step=9660, lr=0.159750, batch loss=0.200243, epoch loss=0.200243 Batch=119, step=9720, lr=0.159500, batch loss=0.164770, epoch loss=0.365013 Batch=179, step=9780, lr=0.159250, batch loss=0.178970, epoch loss=0.543984 Batch=239, step=9840, lr=0.159000, batch loss=0.262889, epoch loss=0.806873 Batch=299, step=9900, lr=0.159000, batch loss=0.184844, epoch loss=0.991716 Batch=359, step=9960, lr=0.158750, batch loss=0.238741, epoch loss=1.230457 Batch=419, step=10020, lr=0.158250, batch loss=0.233611, epoch loss=1.464069 Batch=479, step=10080, lr=0.158000, batch loss=0.213060, epoch loss=1.677129 Batch=539, step=10140, lr=0.158000, batch loss=0.172534, epoch loss=1.849663 Batch=599, step=10200, lr=0.157750, batch loss=0.200973, epoch loss=2.050636 Batch=659, step=10260, lr=0.157250, batch loss=0.282745, epoch loss=2.333381 Batch=719, step=10320, lr=0.157250, batch loss=0.286327, epoch loss=2.619708 Batch=779, step=10380, lr=0.156750, batch loss=0.295975, epoch loss=2.915683 Batch=839, step=10440, lr=0.156500, batch loss=0.273966, epoch loss=3.189649 Batch=899, step=10500, lr=0.156500, batch loss=0.236751, epoch loss=3.426400 Batch=959, step=10560, lr=0.156000, batch loss=0.181881, epoch loss=3.608281 Batch=1019, step=10620, lr=0.155750, batch loss=0.297402, epoch loss=3.905683 Batch=1079, step=10680, lr=0.155500, batch loss=0.177072, epoch loss=4.082755 Batch=1139, step=10740, lr=0.155250, batch loss=0.205097, epoch loss=4.287852 Batch=1199, step=10800, lr=0.155250, batch loss=0.154937, epoch loss=4.442789 Epoch=8, step=10800, lr=0.155250, epoch loss=4.442789 Batch=59, step=10860, lr=0.155000, batch loss=0.176661, epoch loss=0.176661 Batch=119, step=10920, lr=0.154500, batch loss=0.144633, epoch loss=0.321294 Batch=179, step=10980, lr=0.154500, batch loss=0.166765, epoch loss=0.488059 Batch=239, step=11040, lr=0.154000, batch loss=0.242143, epoch loss=0.730202 Batch=299, step=11100, lr=0.153750, batch loss=0.171527, epoch loss=0.901729 Batch=359, step=11160, lr=0.153500, batch loss=0.221321, epoch loss=1.123050 Batch=419, step=11220, lr=0.153500, batch loss=0.223696, epoch loss=1.346746 Batch=479, step=11280, lr=0.153000, batch loss=0.207943, epoch loss=1.554689 Batch=539, step=11340, lr=0.152750, batch loss=0.160779, epoch loss=1.715468 Batch=599, step=11400, lr=0.152750, batch loss=0.182194, epoch loss=1.897662 Batch=659, step=11460, lr=0.152250, batch loss=0.265096, epoch loss=2.162758 Batch=719, step=11520, lr=0.152000, batch loss=0.261998, epoch loss=2.424756 Batch=779, step=11580, lr=0.151750, batch loss=0.274030, epoch loss=2.698786 Batch=839, step=11640, lr=0.151500, batch loss=0.250452, epoch loss=2.949238 Batch=899, step=11700, lr=0.151250, batch loss=0.220811, epoch loss=3.170049 Batch=959, step=11760, lr=0.151000, batch loss=0.186108, epoch loss=3.356157 Batch=1019, step=11820, lr=0.150750, batch loss=0.278073, epoch loss=3.634230 Batch=1079, step=11880, lr=0.150500, batch loss=0.147509, epoch loss=3.781740 Batch=1139, step=11940, lr=0.150250, batch loss=0.181321, epoch loss=3.963060 Batch=1199, step=12000, lr=0.150000, batch loss=0.140901, epoch loss=4.103961 Epoch=9, step=12000, lr=0.150000, epoch loss=4.103961 Batch=59, step=12060, lr=0.149750, batch loss=0.162236, epoch loss=0.162236 Batch=119, step=12120, lr=0.149500, batch loss=0.137708, epoch loss=0.299944 Batch=179, step=12180, lr=0.149250, batch loss=0.151751, epoch loss=0.451694 Batch=239, step=12240, lr=0.149000, batch loss=0.219812, epoch loss=0.671506 Batch=299, step=12300, lr=0.149000, batch loss=0.144722, epoch loss=0.816228 Batch=359, step=12360, lr=0.148500, batch loss=0.196927, epoch loss=1.013155 Batch=419, step=12420, lr=0.148250, batch loss=0.208844, epoch loss=1.221999 Batch=479, step=12480, lr=0.148000, batch loss=0.179283, epoch loss=1.401283 Batch=539, step=12540, lr=0.148000, batch loss=0.144632, epoch loss=1.545915 Batch=599, step=12600, lr=0.147750, batch loss=0.150150, epoch loss=1.696065 Batch=659, step=12660, lr=0.147500, batch loss=0.228873, epoch loss=1.924939 Batch=719, step=12720, lr=0.147250, batch loss=0.233965, epoch loss=2.158904 Batch=779, step=12780, lr=0.147000, batch loss=0.249593, epoch loss=2.408498 Batch=839, step=12840, lr=0.146500, batch loss=0.226418, epoch loss=2.634916 Batch=899, step=12900, lr=0.146250, batch loss=0.188664, epoch loss=2.823580 Batch=959, step=12960, lr=0.146250, batch loss=0.155255, epoch loss=2.978834 Batch=1019, step=13020, lr=0.146000, batch loss=0.262225, epoch loss=3.241059 Batch=1079, step=13080, lr=0.145750, batch loss=0.116618, epoch loss=3.357677 Batch=1139, step=13140, lr=0.145500, batch loss=0.155551, epoch loss=3.513229 Batch=1199, step=13200, lr=0.145250, batch loss=0.119607, epoch loss=3.632836 Epoch=10, step=13200, lr=0.145250, epoch loss=3.632836 Batch=59, step=13260, lr=0.144750, batch loss=0.144241, epoch loss=0.144241 Batch=119, step=13320, lr=0.144750, batch loss=0.121132, epoch loss=0.265373 Batch=179, step=13380, lr=0.144250, batch loss=0.129060, epoch loss=0.394433 Batch=239, step=13440, lr=0.144000, batch loss=0.185706, epoch loss=0.580140 Batch=299, step=13500, lr=0.143750, batch loss=0.121621, epoch loss=0.701761 Batch=359, step=13560, lr=0.143750, batch loss=0.163018, epoch loss=0.864779 Batch=419, step=13620, lr=0.143500, batch loss=0.162124, epoch loss=1.026902 Batch=479, step=13680, lr=0.143250, batch loss=0.147727, epoch loss=1.174629 Batch=539, step=13740, lr=0.143000, batch loss=0.119746, epoch loss=1.294375 Batch=599, step=13800, lr=0.142750, batch loss=0.121848, epoch loss=1.416223 Batch=659, step=13860, lr=0.142250, batch loss=0.178325, epoch loss=1.594547 Batch=719, step=13920, lr=0.142000, batch loss=0.180190, epoch loss=1.774737 Batch=779, step=13980, lr=0.142000, batch loss=0.198095, epoch loss=1.972832 Batch=839, step=14040, lr=0.141500, batch loss=0.190240, epoch loss=2.163072 Batch=899, step=14100, lr=0.141250, batch loss=0.178350, epoch loss=2.341423 Batch=959, step=14160, lr=0.141000, batch loss=0.141331, epoch loss=2.482754 Batch=1019, step=14220, lr=0.141000, batch loss=0.274895, epoch loss=2.757649 Batch=1079, step=14280, lr=0.140750, batch loss=0.086827, epoch loss=2.844476 Batch=1139, step=14340, lr=0.140500, batch loss=0.132363, epoch loss=2.976839 Batch=1199, step=14400, lr=0.140250, batch loss=0.096268, epoch loss=3.073107 Epoch=11, step=14400, lr=0.140250, epoch loss=3.073107 Batch=59, step=14460, lr=0.139750, batch loss=0.119471, epoch loss=0.119471 Batch=119, step=14520, lr=0.139500, batch loss=0.106929, epoch loss=0.226399 Batch=179, step=14580, lr=0.139500, batch loss=0.106435, epoch loss=0.332835 Batch=239, step=14640, lr=0.139250, batch loss=0.142949, epoch loss=0.475784 Batch=299, step=14700, lr=0.138750, batch loss=0.082345, epoch loss=0.558128 Batch=359, step=14760, lr=0.138500, batch loss=0.119629, epoch loss=0.677757 Batch=419, step=14820, lr=0.138500, batch loss=0.128120, epoch loss=0.805878 Batch=479, step=14880, lr=0.138250, batch loss=0.103857, epoch loss=0.909735 Batch=539, step=14940, lr=0.138000, batch loss=0.104047, epoch loss=1.013782 Batch=599, step=15000, lr=0.137750, batch loss=0.086979, epoch loss=1.100761 Batch=659, step=15060, lr=0.137250, batch loss=0.131417, epoch loss=1.232178 Batch=719, step=15120, lr=0.137250, batch loss=0.121024, epoch loss=1.353202 Batch=779, step=15180, lr=0.137000, batch loss=0.122101, epoch loss=1.475303 Batch=839, step=15240, lr=0.136750, batch loss=0.142648, epoch loss=1.617952 Batch=899, step=15300, lr=0.136500, batch loss=0.152693, epoch loss=1.770645 Batch=959, step=15360, lr=0.136250, batch loss=0.130164, epoch loss=1.900809 Batch=1019, step=15420, lr=0.135750, batch loss=0.393639, epoch loss=2.294448 Batch=1079, step=15480, lr=0.135500, batch loss=0.039832, epoch loss=2.334280 Batch=1139, step=15540, lr=0.135250, batch loss=0.081053, epoch loss=2.415333 Batch=1199, step=15600, lr=0.135000, batch loss=0.072514, epoch loss=2.487847 Epoch=12, step=15600, lr=0.135000, epoch loss=2.487847 Batch=59, step=15660, lr=0.135000, batch loss=0.068167, epoch loss=0.068167 Batch=119, step=15720, lr=0.134750, batch loss=0.080672, epoch loss=0.148839 Batch=179, step=15780, lr=0.134250, batch loss=0.080614, epoch loss=0.229454 Batch=239, step=15840, lr=0.134000, batch loss=0.100567, epoch loss=0.330021 Batch=299, step=15900, lr=0.134000, batch loss=0.064501, epoch loss=0.394522 Batch=359, step=15960, lr=0.133500, batch loss=0.091123, epoch loss=0.485645 Batch=419, step=16020, lr=0.133500, batch loss=0.110766, epoch loss=0.596411 Batch=479, step=16080, lr=0.133000, batch loss=0.049624, epoch loss=0.646034 Batch=539, step=16140, lr=0.133000, batch loss=0.051536, epoch loss=0.697571 Batch=599, step=16200, lr=0.132500, batch loss=0.062360, epoch loss=0.759931 Batch=659, step=16260, lr=0.132250, batch loss=0.116864, epoch loss=0.876795 Batch=719, step=16320, lr=0.132000, batch loss=0.100896, epoch loss=0.977691 Batch=779, step=16380, lr=0.131750, batch loss=0.206590, epoch loss=1.184281 Batch=839, step=16440, lr=0.131500, batch loss=0.096251, epoch loss=1.280533 Batch=899, step=16500, lr=0.131250, batch loss=0.098314, epoch loss=1.378846 Batch=959, step=16560, lr=0.131250, batch loss=0.048474, epoch loss=1.427321 Batch=1019, step=16620, lr=0.131000, batch loss=0.118232, epoch loss=1.545553 Batch=1079, step=16680, lr=0.130500, batch loss=0.019459, epoch loss=1.565012 Batch=1139, step=16740, lr=0.130250, batch loss=0.042660, epoch loss=1.607672 Batch=1199, step=16800, lr=0.130250, batch loss=0.024063, epoch loss=1.631735 Epoch=13, step=16800, lr=0.130250, epoch loss=1.631735 Batch=59, step=16860, lr=0.130000, batch loss=0.045626, epoch loss=0.045626 Batch=119, step=16920, lr=0.129750, batch loss=0.087821, epoch loss=0.133447 Batch=179, step=16980, lr=0.129500, batch loss=0.060199, epoch loss=0.193646 Batch=239, step=17040, lr=0.129000, batch loss=0.060921, epoch loss=0.254567 Batch=299, step=17100, lr=0.129000, batch loss=0.018718, epoch loss=0.273284 Batch=359, step=17160, lr=0.128750, batch loss=0.047233, epoch loss=0.320517 Batch=419, step=17220, lr=0.128250, batch loss=0.048852, epoch loss=0.369369 Batch=479, step=17280, lr=0.128000, batch loss=0.026897, epoch loss=0.396267 Batch=539, step=17340, lr=0.128000, batch loss=0.037232, epoch loss=0.433499 Batch=599, step=17400, lr=0.127750, batch loss=0.034256, epoch loss=0.467755 Batch=659, step=17460, lr=0.127250, batch loss=0.045886, epoch loss=0.513641 Batch=719, step=17520, lr=0.127250, batch loss=0.062691, epoch loss=0.576332 Batch=779, step=17580, lr=0.126750, batch loss=0.131062, epoch loss=0.707394 Batch=839, step=17640, lr=0.126500, batch loss=0.110076, epoch loss=0.817469 Batch=899, step=17700, lr=0.126500, batch loss=0.149259, epoch loss=0.966729 Batch=959, step=17760, lr=0.126000, batch loss=0.019515, epoch loss=0.986244 Batch=1019, step=17820, lr=0.125750, batch loss=0.032904, epoch loss=1.019148 Batch=1079, step=17880, lr=0.125500, batch loss=0.015695, epoch loss=1.034842 Batch=1139, step=17940, lr=0.125500, batch loss=0.042314, epoch loss=1.077156 Batch=1199, step=18000, lr=0.125000, batch loss=0.016358, epoch loss=1.093514 Epoch=14, step=18000, lr=0.125000, epoch loss=1.093514 Batch=59, step=18060, lr=0.125000, batch loss=0.012987, epoch loss=0.012987 Batch=119, step=18120, lr=0.124500, batch loss=0.022000, epoch loss=0.034987 Batch=179, step=18180, lr=0.124500, batch loss=0.038871, epoch loss=0.073858 Batch=239, step=18240, lr=0.124250, batch loss=0.037551, epoch loss=0.111409 Batch=299, step=18300, lr=0.124000, batch loss=0.017229, epoch loss=0.128638 Batch=359, step=18360, lr=0.123750, batch loss=0.025295, epoch loss=0.153933 Batch=419, step=18420, lr=0.123500, batch loss=0.030744, epoch loss=0.184677 Batch=479, step=18480, lr=0.123250, batch loss=0.017065, epoch loss=0.201743 Batch=539, step=18540, lr=0.122750, batch loss=0.027152, epoch loss=0.228895 Batch=599, step=18600, lr=0.122750, batch loss=0.027185, epoch loss=0.256079 Batch=659, step=18660, lr=0.122250, batch loss=0.030229, epoch loss=0.286308 Batch=719, step=18720, lr=0.122000, batch loss=0.043518, epoch loss=0.329826 Batch=779, step=18780, lr=0.122000, batch loss=0.104928, epoch loss=0.434754 Batch=839, step=18840, lr=0.121500, batch loss=0.066382, epoch loss=0.501136 Batch=899, step=18900, lr=0.121500, batch loss=0.084654, epoch loss=0.585790 Batch=959, step=18960, lr=0.121000, batch loss=0.013963, epoch loss=0.599753 Batch=1019, step=19020, lr=0.121000, batch loss=0.019482, epoch loss=0.619235 Batch=1079, step=19080, lr=0.120500, batch loss=0.010699, epoch loss=0.629934 Batch=1139, step=19140, lr=0.120250, batch loss=0.023392, epoch loss=0.653326 Batch=1199, step=19200, lr=0.120250, batch loss=0.009833, epoch loss=0.663159 Epoch=15, step=19200, lr=0.120250, epoch loss=0.663159 Batch=59, step=19260, lr=0.120000, batch loss=0.004552, epoch loss=0.004552 Batch=119, step=19320, lr=0.119750, batch loss=0.012027, epoch loss=0.016579 Batch=179, step=19380, lr=0.119500, batch loss=0.020564, epoch loss=0.037143 Batch=239, step=19440, lr=0.119250, batch loss=0.021079, epoch loss=0.058222 Batch=299, step=19500, lr=0.119000, batch loss=0.005310, epoch loss=0.063532 Batch=359, step=19560, lr=0.118750, batch loss=0.016786, epoch loss=0.080318 Batch=419, step=19620, lr=0.118250, batch loss=0.019535, epoch loss=0.099854 Batch=479, step=19680, lr=0.118250, batch loss=0.010253, epoch loss=0.110106 Batch=539, step=19740, lr=0.118000, batch loss=0.020371, epoch loss=0.130477 Batch=599, step=19800, lr=0.117500, batch loss=0.019831, epoch loss=0.150308 Batch=659, step=19860, lr=0.117500, batch loss=0.019623, epoch loss=0.169931 Batch=719, step=19920, lr=0.117000, batch loss=0.023695, epoch loss=0.193626 Batch=779, step=19980, lr=0.116750, batch loss=0.044437, epoch loss=0.238063 Batch=839, step=20040, lr=0.116500, batch loss=0.048070, epoch loss=0.286133 Batch=899, step=20100, lr=0.116500, batch loss=0.047824, epoch loss=0.333957 Batch=959, step=20160, lr=0.116000, batch loss=0.011379, epoch loss=0.345336 Batch=1019, step=20220, lr=0.115750, batch loss=0.012262, epoch loss=0.357598 Batch=1079, step=20280, lr=0.115750, batch loss=0.004554, epoch loss=0.362152 Batch=1139, step=20340, lr=0.115500, batch loss=0.016761, epoch loss=0.378913 Batch=1199, step=20400, lr=0.115250, batch loss=0.006563, epoch loss=0.385476 Epoch=16, step=20400, lr=0.115250, epoch loss=0.385476 Batch=59, step=20460, lr=0.115000, batch loss=0.003522, epoch loss=0.003522 Batch=119, step=20520, lr=0.114750, batch loss=0.009184, epoch loss=0.012706 Batch=179, step=20580, lr=0.114250, batch loss=0.018850, epoch loss=0.031555 Batch=239, step=20640, lr=0.114250, batch loss=0.023636, epoch loss=0.055191 Batch=299, step=20700, lr=0.114000, batch loss=0.013412, epoch loss=0.068603 Batch=359, step=20760, lr=0.113500, batch loss=0.016034, epoch loss=0.084637 Batch=419, step=20820, lr=0.113500, batch loss=0.015822, epoch loss=0.100460 Batch=479, step=20880, lr=0.113000, batch loss=0.003374, epoch loss=0.103833 Batch=539, step=20940, lr=0.112750, batch loss=0.018272, epoch loss=0.122105 Batch=599, step=21000, lr=0.112500, batch loss=0.021485, epoch loss=0.143590 Batch=659, step=21060, lr=0.112500, batch loss=0.015307, epoch loss=0.158897 Batch=719, step=21120, lr=0.112250, batch loss=0.039546, epoch loss=0.198443 Batch=779, step=21180, lr=0.111750, batch loss=0.073289, epoch loss=0.271732 Batch=839, step=21240, lr=0.111500, batch loss=0.025905, epoch loss=0.297637 Batch=899, step=21300, lr=0.111500, batch loss=0.036386, epoch loss=0.334022 Batch=959, step=21360, lr=0.111000, batch loss=0.010569, epoch loss=0.344592 Batch=1019, step=21420, lr=0.111000, batch loss=0.010672, epoch loss=0.355264 Batch=1079, step=21480, lr=0.110500, batch loss=0.001199, epoch loss=0.356462 Batch=1139, step=21540, lr=0.110250, batch loss=0.013359, epoch loss=0.369822 Batch=1199, step=21600, lr=0.110000, batch loss=0.005120, epoch loss=0.374942 Epoch=17, step=21600, lr=0.110000, epoch loss=0.374942 Batch=59, step=21660, lr=0.110000, batch loss=0.002357, epoch loss=0.002357 Batch=119, step=21720, lr=0.109750, batch loss=0.006809, epoch loss=0.009166 Batch=179, step=21780, lr=0.109500, batch loss=0.012906, epoch loss=0.022071 Batch=239, step=21840, lr=0.109000, batch loss=0.009892, epoch loss=0.031963 Batch=299, step=21900, lr=0.109000, batch loss=0.010315, epoch loss=0.042278 Batch=359, step=21960, lr=0.108500, batch loss=0.014699, epoch loss=0.056977 Batch=419, step=22020, lr=0.108250, batch loss=0.012242, epoch loss=0.069219 Batch=479, step=22080, lr=0.108250, batch loss=0.003133, epoch loss=0.072352 Batch=539, step=22140, lr=0.107750, batch loss=0.017651, epoch loss=0.090003 Batch=599, step=22200, lr=0.107750, batch loss=0.016991, epoch loss=0.106994 Batch=659, step=22260, lr=0.107250, batch loss=0.014543, epoch loss=0.121537 Batch=719, step=22320, lr=0.107250, batch loss=0.027054, epoch loss=0.148591 Batch=779, step=22380, lr=0.107000, batch loss=0.043163, epoch loss=0.191754 Batch=839, step=22440, lr=0.106750, batch loss=0.021995, epoch loss=0.213748 Batch=899, step=22500, lr=0.106250, batch loss=0.022282, epoch loss=0.236031 Batch=959, step=22560, lr=0.106000, batch loss=0.011270, epoch loss=0.247300 Batch=1019, step=22620, lr=0.106000, batch loss=0.009043, epoch loss=0.256343 Batch=1079, step=22680, lr=0.105500, batch loss=0.000057, epoch loss=0.256401 Batch=1139, step=22740, lr=0.105250, batch loss=0.010303, epoch loss=0.266703 Batch=1199, step=22800, lr=0.105250, batch loss=0.004265, epoch loss=0.270968 Epoch=18, step=22800, lr=0.105250, epoch loss=0.270968 Batch=59, step=22860, lr=0.104750, batch loss=0.001445, epoch loss=0.001445 Batch=119, step=22920, lr=0.104750, batch loss=0.005753, epoch loss=0.007198 Batch=179, step=22980, lr=0.104500, batch loss=0.010881, epoch loss=0.018079 Batch=239, step=23040, lr=0.104250, batch loss=0.009260, epoch loss=0.027339 Batch=299, step=23100, lr=0.104000, batch loss=0.008305, epoch loss=0.035644 Batch=359, step=23160, lr=0.103750, batch loss=0.013110, epoch loss=0.048754 Batch=419, step=23220, lr=0.103500, batch loss=0.010940, epoch loss=0.059694 Batch=479, step=23280, lr=0.103250, batch loss=0.003974, epoch loss=0.063668 Batch=539, step=23340, lr=0.103000, batch loss=0.015035, epoch loss=0.078703 Batch=599, step=23400, lr=0.102750, batch loss=0.014274, epoch loss=0.092977 Batch=659, step=23460, lr=0.102500, batch loss=0.012792, epoch loss=0.105769 Batch=719, step=23520, lr=0.102000, batch loss=0.014624, epoch loss=0.120393 Batch=779, step=23580, lr=0.101750, batch loss=0.021286, epoch loss=0.141679 Batch=839, step=23640, lr=0.101750, batch loss=0.026235, epoch loss=0.167914 Batch=899, step=23700, lr=0.101250, batch loss=0.022105, epoch loss=0.190019 Batch=959, step=23760, lr=0.101250, batch loss=0.007832, epoch loss=0.197851 Batch=1019, step=23820, lr=0.100750, batch loss=0.008015, epoch loss=0.205866 Batch=1079, step=23880, lr=0.100500, batch loss=0.001209, epoch loss=0.207075 Batch=1139, step=23940, lr=0.100500, batch loss=0.009213, epoch loss=0.216289 Batch=1199, step=24000, lr=0.100250, batch loss=0.004790, epoch loss=0.221079 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221079 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:49.29 ---> saved as "1c6b4e89f18a5c6d5b5de83363f6f49012618a517c8b51ec2e14a25f3879ac28" Job succeeded 2025-03-21 14:49.30: Job succeeded