2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef 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 12:35.26: 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 12:35.26: 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 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:35.27: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (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 12:35.27 ---> 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 12:35.27 ---> 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 12:35.27 ---> 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 12:35.28 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:35.28 ---> 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 12:35.28 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:35.28 ---> 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 12:35.28 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:35.28 ---> 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 12:35.28 ---> 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 12:35.28 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-21 12:35.32 ---> saved as "c23d0c4002347d8db49c077f3e06350785b400f6178f3085907388d583e00391" /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/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/d42e04a7303301d1f79d85b38385e9f4/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c489b0e92a692b3abe850a13afcc604e/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/c489b0e92a692b3abe850a13afcc604e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852303, epoch loss=35.617934 Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198750, batch loss=1.338572, epoch loss=38.401458 Batch=419, step=420, lr=0.198500, batch loss=0.613821, epoch loss=39.015279 Batch=479, step=480, lr=0.198250, batch loss=0.795513, epoch loss=39.810793 Batch=539, step=540, lr=0.198000, batch loss=0.650914, epoch loss=40.461706 Batch=599, step=600, lr=0.197500, batch loss=1.085739, epoch loss=41.547445 Batch=659, step=660, lr=0.197250, batch loss=0.482012, epoch loss=42.029457 Batch=719, step=720, lr=0.197250, batch loss=0.412769, epoch loss=42.442227 Batch=779, step=780, lr=0.196750, batch loss=0.470660, epoch loss=42.912887 Batch=839, step=840, lr=0.196500, batch loss=0.445116, epoch loss=43.358003 Batch=899, step=900, lr=0.196500, batch loss=0.386189, epoch loss=43.744192 Batch=959, step=960, lr=0.196000, batch loss=0.244581, epoch loss=43.988773 Batch=1019, step=1020, lr=0.196000, batch loss=0.456424, epoch loss=44.445197 Batch=1079, step=1080, lr=0.195750, batch loss=0.252848, epoch loss=44.698045 Batch=1139, step=1140, lr=0.195250, batch loss=0.331673, epoch loss=45.029718 Batch=1199, step=1200, lr=0.195250, batch loss=0.267662, epoch loss=45.297380 Epoch=0, step=1200, lr=0.195250, epoch loss=45.297380 Batch=59, step=1260, lr=0.195000, batch loss=0.265319, epoch loss=0.265319 Batch=119, step=1320, lr=0.194750, batch loss=0.205619, epoch loss=0.470938 Batch=179, step=1380, lr=0.194250, batch loss=0.245331, epoch loss=0.716269 Batch=239, step=1440, lr=0.194000, batch loss=0.348962, epoch loss=1.065231 Batch=299, step=1500, lr=0.193750, batch loss=0.245144, epoch loss=1.310375 Batch=359, step=1560, lr=0.193500, batch loss=0.322699, epoch loss=1.633075 Batch=419, step=1620, lr=0.193500, batch loss=0.312268, epoch loss=1.945343 Batch=479, step=1680, lr=0.193000, batch loss=0.279810, epoch loss=2.225152 Batch=539, step=1740, lr=0.192750, batch loss=0.212172, epoch loss=2.437325 Batch=599, step=1800, lr=0.192750, batch loss=0.265114, epoch loss=2.702438 Batch=659, step=1860, lr=0.192250, batch loss=0.376720, epoch loss=3.079159 Batch=719, step=1920, lr=0.192250, batch loss=0.361763, epoch loss=3.440921 Batch=779, step=1980, lr=0.191750, batch loss=0.389461, epoch loss=3.830382 Batch=839, step=2040, lr=0.191500, batch loss=0.347766, epoch loss=4.178148 Batch=899, step=2100, lr=0.191250, batch loss=0.325749, epoch loss=4.503897 Batch=959, step=2160, lr=0.191250, batch loss=0.255596, epoch loss=4.759493 Batch=1019, step=2220, lr=0.190750, batch loss=0.395592, epoch loss=5.155084 Batch=1079, step=2280, lr=0.190500, batch loss=0.222833, epoch loss=5.377917 Batch=1139, step=2340, lr=0.190500, batch loss=0.262889, epoch loss=5.640806 Batch=1199, step=2400, lr=0.190250, batch loss=0.214086, epoch loss=5.854892 Epoch=1, step=2400, lr=0.190250, epoch loss=5.854892 Batch=59, step=2460, lr=0.189750, batch loss=0.231923, epoch loss=0.231923 Batch=119, step=2520, lr=0.189750, batch loss=0.193336, epoch loss=0.425259 Batch=179, step=2580, lr=0.189250, batch loss=0.222369, epoch loss=0.647628 Batch=239, step=2640, lr=0.189000, batch loss=0.332747, epoch loss=0.980375 Batch=299, step=2700, lr=0.189000, batch loss=0.218755, epoch loss=1.199131 Batch=359, step=2760, lr=0.188750, batch loss=0.299823, epoch loss=1.498954 Batch=419, step=2820, lr=0.188250, batch loss=0.286843, epoch loss=1.785796 Batch=479, step=2880, lr=0.188250, batch loss=0.262524, epoch loss=2.048320 Batch=539, step=2940, lr=0.188000, batch loss=0.196801, epoch loss=2.245121 Batch=599, step=3000, lr=0.187750, batch loss=0.235000, epoch loss=2.480121 Batch=659, step=3060, lr=0.187250, batch loss=0.342215, epoch loss=2.822336 Batch=719, step=3120, lr=0.187250, batch loss=0.335962, epoch loss=3.158298 Batch=779, step=3180, lr=0.186750, batch loss=0.353536, epoch loss=3.511835 Batch=839, step=3240, lr=0.186500, batch loss=0.323742, epoch loss=3.835577 Batch=899, step=3300, lr=0.186250, batch loss=0.281624, epoch loss=4.117201 Batch=959, step=3360, lr=0.186250, batch loss=0.206922, epoch loss=4.324123 Batch=1019, step=3420, lr=0.186000, batch loss=0.317217, epoch loss=4.641341 Batch=1079, step=3480, lr=0.185500, batch loss=0.188661, epoch loss=4.830001 Batch=1139, step=3540, lr=0.185250, batch loss=0.228652, epoch loss=5.058653 Batch=1199, step=3600, lr=0.185250, batch loss=0.201679, epoch loss=5.260332 Epoch=2, step=3600, lr=0.185250, epoch loss=5.260332 Batch=59, step=3660, lr=0.184750, batch loss=0.238236, epoch loss=0.238236 Batch=119, step=3720, lr=0.184750, batch loss=0.203262, epoch loss=0.441498 Batch=179, step=3780, lr=0.184250, batch loss=0.212196, epoch loss=0.653695 Batch=239, step=3840, lr=0.184250, batch loss=0.317759, epoch loss=0.971454 Batch=299, step=3900, lr=0.184000, batch loss=0.204801, epoch loss=1.176255 Batch=359, step=3960, lr=0.183750, batch loss=0.282757, epoch loss=1.459012 Batch=419, step=4020, lr=0.183500, batch loss=0.272552, epoch loss=1.731564 Batch=479, step=4080, lr=0.183000, batch loss=0.247836, epoch loss=1.979400 Batch=539, step=4140, lr=0.182750, batch loss=0.196964, epoch loss=2.176364 Batch=599, step=4200, lr=0.182750, batch loss=0.243641, epoch loss=2.420005 Batch=659, step=4260, lr=0.182500, batch loss=0.328868, epoch loss=2.748873 Batch=719, step=4320, lr=0.182000, batch loss=0.330327, epoch loss=3.079200 Batch=779, step=4380, lr=0.182000, batch loss=0.349544, epoch loss=3.428743 Batch=839, step=4440, lr=0.181750, batch loss=0.318764, epoch loss=3.747507 Batch=899, step=4500, lr=0.181500, batch loss=0.293623, epoch loss=4.041130 Batch=959, step=4560, lr=0.181000, batch loss=0.243633, epoch loss=4.284763 Batch=1019, step=4620, lr=0.181000, batch loss=0.342721, epoch loss=4.627484 Batch=1079, step=4680, lr=0.180500, batch loss=0.219846, epoch loss=4.847329 Batch=1139, step=4740, lr=0.180500, batch loss=0.248542, epoch loss=5.095871 Batch=1199, step=4800, lr=0.180250, batch loss=0.191772, epoch loss=5.287644 Epoch=3, step=4800, lr=0.180250, epoch loss=5.287644 Batch=59, step=4860, lr=0.180000, batch loss=0.228883, epoch loss=0.228883 Batch=119, step=4920, lr=0.179750, batch loss=0.189364, epoch loss=0.418247 Batch=179, step=4980, lr=0.179250, batch loss=0.206822, epoch loss=0.625069 Batch=239, step=5040, lr=0.179250, batch loss=0.308283, epoch loss=0.933352 Batch=299, step=5100, lr=0.179000, batch loss=0.209011, epoch loss=1.142362 Batch=359, step=5160, lr=0.178750, batch loss=0.274837, epoch loss=1.417199 Batch=419, step=5220, lr=0.178250, batch loss=0.264783, epoch loss=1.681982 Batch=479, step=5280, lr=0.178250, batch loss=0.241176, epoch loss=1.923159 Batch=539, step=5340, lr=0.178000, batch loss=0.190450, epoch loss=2.113608 Batch=599, step=5400, lr=0.177750, batch loss=0.230992, epoch loss=2.344600 Batch=659, step=5460, lr=0.177500, batch loss=0.324968, epoch loss=2.669568 Batch=719, step=5520, lr=0.177250, batch loss=0.335474, epoch loss=3.005041 Batch=779, step=5580, lr=0.177000, batch loss=0.343050, epoch loss=3.348091 Batch=839, step=5640, lr=0.176750, batch loss=0.310054, epoch loss=3.658144 Batch=899, step=5700, lr=0.176250, batch loss=0.271689, epoch loss=3.929833 Batch=959, step=5760, lr=0.176000, batch loss=0.218792, epoch loss=4.148625 Batch=1019, step=5820, lr=0.176000, batch loss=0.335587, epoch loss=4.484212 Batch=1079, step=5880, lr=0.175500, batch loss=0.190475, epoch loss=4.674687 Batch=1139, step=5940, lr=0.175250, batch loss=0.220646, epoch loss=4.895333 Batch=1199, step=6000, lr=0.175250, batch loss=0.190075, epoch loss=5.085407 Epoch=4, step=6000, lr=0.175250, epoch loss=5.085407 Batch=59, step=6060, lr=0.174750, batch loss=0.236537, epoch loss=0.236537 Batch=119, step=6120, lr=0.174500, batch loss=0.190006, epoch loss=0.426543 Batch=179, step=6180, lr=0.174500, batch loss=0.201197, epoch loss=0.627741 Batch=239, step=6240, lr=0.174250, batch loss=0.299902, epoch loss=0.927643 Batch=299, step=6300, lr=0.174000, batch loss=0.206765, epoch loss=1.134407 Batch=359, step=6360, lr=0.173750, batch loss=0.266795, epoch loss=1.401202 Batch=419, step=6420, lr=0.173250, batch loss=0.265302, epoch loss=1.666504 Batch=479, step=6480, lr=0.173000, batch loss=0.244098, epoch loss=1.910602 Batch=539, step=6540, lr=0.173000, batch loss=0.193012, epoch loss=2.103614 Batch=599, step=6600, lr=0.172500, batch loss=0.229887, epoch loss=2.333501 Batch=659, step=6660, lr=0.172500, batch loss=0.316305, epoch loss=2.649806 Batch=719, step=6720, lr=0.172000, batch loss=0.315595, epoch loss=2.965402 Batch=779, step=6780, lr=0.171750, batch loss=0.331691, epoch loss=3.297093 Batch=839, step=6840, lr=0.171500, batch loss=0.305441, epoch loss=3.602533 Batch=899, step=6900, lr=0.171250, batch loss=0.271952, epoch loss=3.874485 Batch=959, step=6960, lr=0.171000, batch loss=0.203668, epoch loss=4.078153 Batch=1019, step=7020, lr=0.170750, batch loss=0.333266, epoch loss=4.411419 Batch=1079, step=7080, lr=0.170750, batch loss=0.193568, epoch loss=4.604987 Batch=1139, step=7140, lr=0.170500, batch loss=0.226832, epoch loss=4.831820 Batch=1199, step=7200, lr=0.170000, batch loss=0.180179, epoch loss=5.011999 Epoch=5, step=7200, lr=0.170000, epoch loss=5.011999 Batch=59, step=7260, lr=0.170000, batch loss=0.216579, epoch loss=0.216579 Batch=119, step=7320, lr=0.169500, batch loss=0.180813, epoch loss=0.397393 Batch=179, step=7380, lr=0.169500, batch loss=0.196278, epoch loss=0.593671 Batch=239, step=7440, lr=0.169250, batch loss=0.292879, epoch loss=0.886550 Batch=299, step=7500, lr=0.168750, batch loss=0.199138, epoch loss=1.085687 Batch=359, step=7560, lr=0.168500, batch loss=0.260325, epoch loss=1.346013 Batch=419, step=7620, lr=0.168500, batch loss=0.255481, epoch loss=1.601493 Batch=479, step=7680, lr=0.168250, batch loss=0.237803, epoch loss=1.839296 Batch=539, step=7740, lr=0.168000, batch loss=0.185764, epoch loss=2.025061 Batch=599, step=7800, lr=0.167500, batch loss=0.226945, epoch loss=2.252006 Batch=659, step=7860, lr=0.167250, batch loss=0.306471, epoch loss=2.558477 Batch=719, step=7920, lr=0.167000, batch loss=0.309780, epoch loss=2.868257 Batch=779, step=7980, lr=0.167000, batch loss=0.331129, epoch loss=3.199385 Batch=839, step=8040, lr=0.166500, batch loss=0.292831, epoch loss=3.492217 Batch=899, step=8100, lr=0.166500, batch loss=0.265089, epoch loss=3.757306 Batch=959, step=8160, lr=0.166250, batch loss=0.207744, epoch loss=3.965050 Batch=1019, step=8220, lr=0.166000, batch loss=0.318329, epoch loss=4.283379 Batch=1079, step=8280, lr=0.165750, batch loss=0.172751, epoch loss=4.456129 Batch=1139, step=8340, lr=0.165500, batch loss=0.207216, epoch loss=4.663345 Batch=1199, step=8400, lr=0.165250, batch loss=0.179456, epoch loss=4.842801 Epoch=6, step=8400, lr=0.165250, epoch loss=4.842801 Batch=59, step=8460, lr=0.164750, batch loss=0.230166, epoch loss=0.230166 Batch=119, step=8520, lr=0.164500, batch loss=0.174521, epoch loss=0.404686 Batch=179, step=8580, lr=0.164250, batch loss=0.187807, epoch loss=0.592493 Batch=239, step=8640, lr=0.164000, batch loss=0.278541, epoch loss=0.871034 Batch=299, step=8700, lr=0.164000, batch loss=0.201038, epoch loss=1.072072 Batch=359, step=8760, lr=0.163500, batch loss=0.252702, epoch loss=1.324775 Batch=419, step=8820, lr=0.163250, batch loss=0.243041, epoch loss=1.567816 Batch=479, step=8880, lr=0.163000, batch loss=0.223441, epoch loss=1.791257 Batch=539, step=8940, lr=0.163000, batch loss=0.184993, epoch loss=1.976250 Batch=599, step=9000, lr=0.162500, batch loss=0.211507, epoch loss=2.187757 Batch=659, step=9060, lr=0.162500, batch loss=0.297811, epoch loss=2.485568 Batch=719, step=9120, lr=0.162000, batch loss=0.294348, epoch loss=2.779916 Batch=779, step=9180, lr=0.162000, batch loss=0.310488, epoch loss=3.090404 Batch=839, step=9240, lr=0.161500, batch loss=0.286733, epoch loss=3.377137 Batch=899, step=9300, lr=0.161500, batch loss=0.255431, epoch loss=3.632568 Batch=959, step=9360, lr=0.161000, batch loss=0.209299, epoch loss=3.841867 Batch=1019, step=9420, lr=0.161000, batch loss=0.301468, epoch loss=4.143336 Batch=1079, step=9480, lr=0.160750, batch loss=0.181513, epoch loss=4.324848 Batch=1139, step=9540, lr=0.160500, batch loss=0.205408, epoch loss=4.530257 Batch=1199, step=9600, lr=0.160000, batch loss=0.165935, epoch loss=4.696191 Epoch=7, step=9600, lr=0.160000, epoch loss=4.696191 Batch=59, step=9660, lr=0.160000, batch loss=0.197479, epoch loss=0.197479 Batch=119, step=9720, lr=0.159750, batch loss=0.166834, epoch loss=0.364312 Batch=179, step=9780, lr=0.159500, batch loss=0.180242, epoch loss=0.544554 Batch=239, step=9840, lr=0.159000, batch loss=0.262879, epoch loss=0.807433 Batch=299, step=9900, lr=0.158750, batch loss=0.188179, epoch loss=0.995612 Batch=359, step=9960, lr=0.158500, batch loss=0.240560, epoch loss=1.236172 Batch=419, step=10020, lr=0.158250, batch loss=0.233986, epoch loss=1.470159 Batch=479, step=10080, lr=0.158250, batch loss=0.214462, epoch loss=1.684621 Batch=539, step=10140, lr=0.157750, batch loss=0.171996, epoch loss=1.856617 Batch=599, step=10200, lr=0.157750, batch loss=0.202457, epoch loss=2.059074 Batch=659, step=10260, lr=0.157250, batch loss=0.283324, epoch loss=2.342398 Batch=719, step=10320, lr=0.157000, batch loss=0.289214, epoch loss=2.631611 Batch=779, step=10380, lr=0.157000, batch loss=0.297141, epoch loss=2.928753 Batch=839, step=10440, lr=0.156500, batch loss=0.268236, epoch loss=3.196989 Batch=899, step=10500, lr=0.156500, batch loss=0.244234, epoch loss=3.441222 Batch=959, step=10560, lr=0.156250, batch loss=0.197635, epoch loss=3.638858 Batch=1019, step=10620, lr=0.156000, batch loss=0.284126, epoch loss=3.922984 Batch=1079, step=10680, lr=0.155500, batch loss=0.170859, epoch loss=4.093842 Batch=1139, step=10740, lr=0.155250, batch loss=0.199550, epoch loss=4.293393 Batch=1199, step=10800, lr=0.155000, batch loss=0.155740, epoch loss=4.449132 Epoch=8, step=10800, lr=0.155000, epoch loss=4.449132 Batch=59, step=10860, lr=0.155000, batch loss=0.180943, epoch loss=0.180943 Batch=119, step=10920, lr=0.154500, batch loss=0.151061, epoch loss=0.332004 Batch=179, step=10980, lr=0.154500, batch loss=0.167138, epoch loss=0.499143 Batch=239, step=11040, lr=0.154000, batch loss=0.242942, epoch loss=0.742085 Batch=299, step=11100, lr=0.153750, batch loss=0.173937, epoch loss=0.916022 Batch=359, step=11160, lr=0.153500, batch loss=0.221894, epoch loss=1.137916 Batch=419, step=11220, lr=0.153250, batch loss=0.216996, epoch loss=1.354912 Batch=479, step=11280, lr=0.153000, batch loss=0.203520, epoch loss=1.558431 Batch=539, step=11340, lr=0.152750, batch loss=0.160454, epoch loss=1.718885 Batch=599, step=11400, lr=0.152750, batch loss=0.179963, epoch loss=1.898848 Batch=659, step=11460, lr=0.152500, batch loss=0.266407, epoch loss=2.165256 Batch=719, step=11520, lr=0.152250, batch loss=0.261686, epoch loss=2.426942 Batch=779, step=11580, lr=0.151750, batch loss=0.275142, epoch loss=2.702084 Batch=839, step=11640, lr=0.151500, batch loss=0.258546, epoch loss=2.960630 Batch=899, step=11700, lr=0.151500, batch loss=0.214830, epoch loss=3.175460 Batch=959, step=11760, lr=0.151000, batch loss=0.172151, epoch loss=3.347611 Batch=1019, step=11820, lr=0.150750, batch loss=0.267965, epoch loss=3.615575 Batch=1079, step=11880, lr=0.150500, batch loss=0.148894, epoch loss=3.764469 Batch=1139, step=11940, lr=0.150250, batch loss=0.182111, epoch loss=3.946581 Batch=1199, step=12000, lr=0.150000, batch loss=0.141395, epoch loss=4.087976 Epoch=9, step=12000, lr=0.150000, epoch loss=4.087976 Batch=59, step=12060, lr=0.150000, batch loss=0.163317, epoch loss=0.163317 Batch=119, step=12120, lr=0.149500, batch loss=0.138189, epoch loss=0.301506 Batch=179, step=12180, lr=0.149250, batch loss=0.152901, epoch loss=0.454407 Batch=239, step=12240, lr=0.149000, batch loss=0.222150, epoch loss=0.676557 Batch=299, step=12300, lr=0.148750, batch loss=0.144519, epoch loss=0.821076 Batch=359, step=12360, lr=0.148500, batch loss=0.200600, epoch loss=1.021676 Batch=419, step=12420, lr=0.148250, batch loss=0.208671, epoch loss=1.230347 Batch=479, step=12480, lr=0.148000, batch loss=0.181268, epoch loss=1.411615 Batch=539, step=12540, lr=0.148000, batch loss=0.144071, epoch loss=1.555686 Batch=599, step=12600, lr=0.147500, batch loss=0.151618, epoch loss=1.707304 Batch=659, step=12660, lr=0.147250, batch loss=0.229825, epoch loss=1.937129 Batch=719, step=12720, lr=0.147000, batch loss=0.240406, epoch loss=2.177535 Batch=779, step=12780, lr=0.147000, batch loss=0.266711, epoch loss=2.444246 Batch=839, step=12840, lr=0.146750, batch loss=0.238320, epoch loss=2.682566 Batch=899, step=12900, lr=0.146250, batch loss=0.223547, epoch loss=2.906113 Batch=959, step=12960, lr=0.146000, batch loss=0.145033, epoch loss=3.051145 Batch=1019, step=13020, lr=0.145750, batch loss=0.222662, epoch loss=3.273807 Batch=1079, step=13080, lr=0.145500, batch loss=0.111037, epoch loss=3.384844 Batch=1139, step=13140, lr=0.145250, batch loss=0.145912, epoch loss=3.530757 Batch=1199, step=13200, lr=0.145000, batch loss=0.122282, epoch loss=3.653039 Epoch=10, step=13200, lr=0.145000, epoch loss=3.653039 Batch=59, step=13260, lr=0.144750, batch loss=0.140909, epoch loss=0.140909 Batch=119, step=13320, lr=0.144500, batch loss=0.126032, epoch loss=0.266941 Batch=179, step=13380, lr=0.144250, batch loss=0.130172, epoch loss=0.397113 Batch=239, step=13440, lr=0.144250, batch loss=0.196592, epoch loss=0.593705 Batch=299, step=13500, lr=0.143750, batch loss=0.127456, epoch loss=0.721161 Batch=359, step=13560, lr=0.143500, batch loss=0.164621, epoch loss=0.885782 Batch=419, step=13620, lr=0.143250, batch loss=0.165629, epoch loss=1.051411 Batch=479, step=13680, lr=0.143000, batch loss=0.149290, epoch loss=1.200701 Batch=539, step=13740, lr=0.142750, batch loss=0.122512, epoch loss=1.323212 Batch=599, step=13800, lr=0.142500, batch loss=0.122993, epoch loss=1.446206 Batch=659, step=13860, lr=0.142500, batch loss=0.179272, epoch loss=1.625478 Batch=719, step=13920, lr=0.142000, batch loss=0.180062, epoch loss=1.805539 Batch=779, step=13980, lr=0.141750, batch loss=0.201917, epoch loss=2.007456 Batch=839, step=14040, lr=0.141500, batch loss=0.189658, epoch loss=2.197114 Batch=899, step=14100, lr=0.141250, batch loss=0.157032, epoch loss=2.354146 Batch=959, step=14160, lr=0.141000, batch loss=0.146905, epoch loss=2.501051 Batch=1019, step=14220, lr=0.141000, batch loss=0.337349, epoch loss=2.838400 Batch=1079, step=14280, lr=0.140750, batch loss=0.082184, epoch loss=2.920584 Batch=1139, step=14340, lr=0.140250, batch loss=0.125461, epoch loss=3.046045 Batch=1199, step=14400, lr=0.140250, batch loss=0.093937, epoch loss=3.139982 Epoch=11, step=14400, lr=0.140250, epoch loss=3.139982 Batch=59, step=14460, lr=0.140000, batch loss=0.117053, epoch loss=0.117053 Batch=119, step=14520, lr=0.139750, batch loss=0.111408, epoch loss=0.228461 Batch=179, step=14580, lr=0.139250, batch loss=0.109655, epoch loss=0.338116 Batch=239, step=14640, lr=0.139000, batch loss=0.144992, epoch loss=0.483108 Batch=299, step=14700, lr=0.138750, batch loss=0.085603, epoch loss=0.568710 Batch=359, step=14760, lr=0.138500, batch loss=0.133930, epoch loss=0.702640 Batch=419, step=14820, lr=0.138250, batch loss=0.142924, epoch loss=0.845564 Batch=479, step=14880, lr=0.138000, batch loss=0.097763, epoch loss=0.943327 Batch=539, step=14940, lr=0.138000, batch loss=0.090939, epoch loss=1.034266 Batch=599, step=15000, lr=0.137750, batch loss=0.088670, epoch loss=1.122936 Batch=659, step=15060, lr=0.137250, batch loss=0.137364, epoch loss=1.260300 Batch=719, step=15120, lr=0.137000, batch loss=0.150024, epoch loss=1.410324 Batch=779, step=15180, lr=0.137000, batch loss=0.203175, epoch loss=1.613499 Batch=839, step=15240, lr=0.136500, batch loss=0.155033, epoch loss=1.768532 Batch=899, step=15300, lr=0.136250, batch loss=0.154087, epoch loss=1.922619 Batch=959, step=15360, lr=0.136000, batch loss=0.090878, epoch loss=2.013497 Batch=1019, step=15420, lr=0.135750, batch loss=0.170037, epoch loss=2.183534 Batch=1079, step=15480, lr=0.135750, batch loss=0.046103, epoch loss=2.229637 Batch=1139, step=15540, lr=0.135500, batch loss=0.104333, epoch loss=2.333970 Batch=1199, step=15600, lr=0.135000, batch loss=0.061144, epoch loss=2.395114 Epoch=12, step=15600, lr=0.135000, epoch loss=2.395114 Batch=59, step=15660, lr=0.135000, batch loss=0.092936, epoch loss=0.092936 Batch=119, step=15720, lr=0.134500, batch loss=0.158119, epoch loss=0.251054 Batch=179, step=15780, lr=0.134250, batch loss=0.107237, epoch loss=0.358292 Batch=239, step=15840, lr=0.134000, batch loss=0.104906, epoch loss=0.463198 Batch=299, step=15900, lr=0.133750, batch loss=0.043567, epoch loss=0.506764 Batch=359, step=15960, lr=0.133750, batch loss=0.088205, epoch loss=0.594970 Batch=419, step=16020, lr=0.133250, batch loss=0.082637, epoch loss=0.677607 Batch=479, step=16080, lr=0.133250, batch loss=0.058995, epoch loss=0.736602 Batch=539, step=16140, lr=0.132750, batch loss=0.070660, epoch loss=0.807261 Batch=599, step=16200, lr=0.132500, batch loss=0.162692, epoch loss=0.969953 Batch=659, step=16260, lr=0.132250, batch loss=0.097136, epoch loss=1.067089 Batch=719, step=16320, lr=0.132250, batch loss=0.134773, epoch loss=1.201862 Batch=779, step=16380, lr=0.132000, batch loss=0.284819, epoch loss=1.486681 Batch=839, step=16440, lr=0.131750, batch loss=0.095052, epoch loss=1.581733 Batch=899, step=16500, lr=0.131250, batch loss=0.089048, epoch loss=1.670782 Batch=959, step=16560, lr=0.131250, batch loss=0.034917, epoch loss=1.705699 Batch=1019, step=16620, lr=0.130750, batch loss=0.059831, epoch loss=1.765530 Batch=1079, step=16680, lr=0.130750, batch loss=0.060755, epoch loss=1.826285 Batch=1139, step=16740, lr=0.130500, batch loss=0.105587, epoch loss=1.931871 Batch=1199, step=16800, lr=0.130000, batch loss=0.048934, epoch loss=1.980805 Epoch=13, step=16800, lr=0.130000, epoch loss=1.980805 Batch=59, step=16860, lr=0.130000, batch loss=0.038364, epoch loss=0.038364 Batch=119, step=16920, lr=0.129750, batch loss=0.039027, epoch loss=0.077390 Batch=179, step=16980, lr=0.129500, batch loss=0.046235, epoch loss=0.123625 Batch=239, step=17040, lr=0.129250, batch loss=0.062245, epoch loss=0.185871 Batch=299, step=17100, lr=0.128750, batch loss=0.020264, epoch loss=0.206135 Batch=359, step=17160, lr=0.128750, batch loss=0.045140, epoch loss=0.251274 Batch=419, step=17220, lr=0.128250, batch loss=0.047310, epoch loss=0.298584 Batch=479, step=17280, lr=0.128250, batch loss=0.026725, epoch loss=0.325309 Batch=539, step=17340, lr=0.128000, batch loss=0.044829, epoch loss=0.370138 Batch=599, step=17400, lr=0.127750, batch loss=0.036218, epoch loss=0.406356 Batch=659, step=17460, lr=0.127500, batch loss=0.049546, epoch loss=0.455902 Batch=719, step=17520, lr=0.127000, batch loss=0.046408, epoch loss=0.502310 Batch=779, step=17580, lr=0.127000, batch loss=0.088091, epoch loss=0.590401 Batch=839, step=17640, lr=0.126500, batch loss=0.231973, epoch loss=0.822374 Batch=899, step=17700, lr=0.126500, batch loss=0.053906, epoch loss=0.876279 Batch=959, step=17760, lr=0.126000, batch loss=0.037723, epoch loss=0.914002 Batch=1019, step=17820, lr=0.126000, batch loss=0.077645, epoch loss=0.991648 Batch=1079, step=17880, lr=0.125500, batch loss=0.016669, epoch loss=1.008317 Batch=1139, step=17940, lr=0.125250, batch loss=0.035259, epoch loss=1.043576 Batch=1199, step=18000, lr=0.125000, batch loss=0.016951, epoch loss=1.060527 Epoch=14, step=18000, lr=0.125000, epoch loss=1.060527 Batch=59, step=18060, lr=0.124750, batch loss=0.015311, epoch loss=0.015311 Batch=119, step=18120, lr=0.124500, batch loss=0.028190, epoch loss=0.043501 Batch=179, step=18180, lr=0.124250, batch loss=0.057368, epoch loss=0.100869 Batch=239, step=18240, lr=0.124000, batch loss=0.038762, epoch loss=0.139632 Batch=299, step=18300, lr=0.123750, batch loss=0.017887, epoch loss=0.157518 Batch=359, step=18360, lr=0.123500, batch loss=0.044525, epoch loss=0.202043 Batch=419, step=18420, lr=0.123250, batch loss=0.033055, epoch loss=0.235098 Batch=479, step=18480, lr=0.123000, batch loss=0.020474, epoch loss=0.255571 Batch=539, step=18540, lr=0.122750, batch loss=0.028051, epoch loss=0.283622 Batch=599, step=18600, lr=0.122500, batch loss=0.027085, epoch loss=0.310707 Batch=659, step=18660, lr=0.122250, batch loss=0.031557, epoch loss=0.342265 Batch=719, step=18720, lr=0.122000, batch loss=0.032704, epoch loss=0.374969 Batch=779, step=18780, lr=0.121750, batch loss=0.090766, epoch loss=0.465734 Batch=839, step=18840, lr=0.121500, batch loss=0.063595, epoch loss=0.529330 Batch=899, step=18900, lr=0.121250, batch loss=0.093870, epoch loss=0.623199 Batch=959, step=18960, lr=0.121250, batch loss=0.017089, epoch loss=0.640288 Batch=1019, step=19020, lr=0.120750, batch loss=0.025389, epoch loss=0.665677 Batch=1079, step=19080, lr=0.120500, batch loss=0.004130, epoch loss=0.669806 Batch=1139, step=19140, lr=0.120250, batch loss=0.023365, epoch loss=0.693171 Batch=1199, step=19200, lr=0.120250, batch loss=0.009853, epoch loss=0.703024 Epoch=15, step=19200, lr=0.120250, epoch loss=0.703024 Batch=59, step=19260, lr=0.119750, batch loss=0.004867, epoch loss=0.004867 Batch=119, step=19320, lr=0.119500, batch loss=0.012245, epoch loss=0.017112 Batch=179, step=19380, lr=0.119500, batch loss=0.022175, epoch loss=0.039287 Batch=239, step=19440, lr=0.119000, batch loss=0.023045, epoch loss=0.062332 Batch=299, step=19500, lr=0.118750, batch loss=0.018195, epoch loss=0.080527 Batch=359, step=19560, lr=0.118500, batch loss=0.034536, epoch loss=0.115064 Batch=419, step=19620, lr=0.118250, batch loss=0.021686, epoch loss=0.136750 Batch=479, step=19680, lr=0.118250, batch loss=0.008175, epoch loss=0.144924 Batch=539, step=19740, lr=0.117750, batch loss=0.020271, epoch loss=0.165196 Batch=599, step=19800, lr=0.117750, batch loss=0.024895, epoch loss=0.190091 Batch=659, step=19860, lr=0.117500, batch loss=0.021191, epoch loss=0.211283 Batch=719, step=19920, lr=0.117000, batch loss=0.039542, epoch loss=0.250824 Batch=779, step=19980, lr=0.116750, batch loss=0.083198, epoch loss=0.334022 Batch=839, step=20040, lr=0.116500, batch loss=0.031644, epoch loss=0.365665 Batch=899, step=20100, lr=0.116250, batch loss=0.034376, epoch loss=0.400041 Batch=959, step=20160, lr=0.116250, batch loss=0.011466, epoch loss=0.411508 Batch=1019, step=20220, lr=0.115750, batch loss=0.015316, epoch loss=0.426824 Batch=1079, step=20280, lr=0.115500, batch loss=0.002195, epoch loss=0.429019 Batch=1139, step=20340, lr=0.115250, batch loss=0.015165, epoch loss=0.444184 Batch=1199, step=20400, lr=0.115000, batch loss=0.007232, epoch loss=0.451416 Epoch=16, step=20400, lr=0.115000, epoch loss=0.451416 Batch=59, step=20460, lr=0.115000, batch loss=0.003380, epoch loss=0.003380 Batch=119, step=20520, lr=0.114750, batch loss=0.009184, epoch loss=0.012564 Batch=179, step=20580, lr=0.114250, batch loss=0.020845, epoch loss=0.033409 Batch=239, step=20640, lr=0.114000, batch loss=0.020206, epoch loss=0.053615 Batch=299, step=20700, lr=0.113750, batch loss=0.010860, epoch loss=0.064476 Batch=359, step=20760, lr=0.113500, batch loss=0.015047, epoch loss=0.079522 Batch=419, step=20820, lr=0.113500, batch loss=0.015435, epoch loss=0.094957 Batch=479, step=20880, lr=0.113000, batch loss=0.004204, epoch loss=0.099161 Batch=539, step=20940, lr=0.112750, batch loss=0.016342, epoch loss=0.115502 Batch=599, step=21000, lr=0.112500, batch loss=0.018433, epoch loss=0.133936 Batch=659, step=21060, lr=0.112250, batch loss=0.013624, epoch loss=0.147559 Batch=719, step=21120, lr=0.112000, batch loss=0.028964, epoch loss=0.176523 Batch=779, step=21180, lr=0.111750, batch loss=0.045608, epoch loss=0.222131 Batch=839, step=21240, lr=0.111750, batch loss=0.028881, epoch loss=0.251012 Batch=899, step=21300, lr=0.111250, batch loss=0.034306, epoch loss=0.285318 Batch=959, step=21360, lr=0.111000, batch loss=0.010611, epoch loss=0.295929 Batch=1019, step=21420, lr=0.110750, batch loss=0.013103, epoch loss=0.309032 Batch=1079, step=21480, lr=0.110750, batch loss=0.002506, epoch loss=0.311537 Batch=1139, step=21540, lr=0.110250, batch loss=0.011981, epoch loss=0.323518 Batch=1199, step=21600, lr=0.110250, batch loss=0.005156, epoch loss=0.328674 Epoch=17, step=21600, lr=0.110250, epoch loss=0.328674 Batch=59, step=21660, lr=0.109750, batch loss=0.002643, epoch loss=0.002643 Batch=119, step=21720, lr=0.109750, batch loss=0.007034, epoch loss=0.009677 Batch=179, step=21780, lr=0.109250, batch loss=0.012615, epoch loss=0.022292 Batch=239, step=21840, lr=0.109000, batch loss=0.009831, epoch loss=0.032124 Batch=299, step=21900, lr=0.108750, batch loss=0.013380, epoch loss=0.045504 Batch=359, step=21960, lr=0.108500, batch loss=0.012459, epoch loss=0.057963 Batch=419, step=22020, lr=0.108250, batch loss=0.013050, epoch loss=0.071012 Batch=479, step=22080, lr=0.108000, batch loss=0.003414, epoch loss=0.074426 Batch=539, step=22140, lr=0.107750, batch loss=0.017295, epoch loss=0.091722 Batch=599, step=22200, lr=0.107750, batch loss=0.016219, epoch loss=0.107941 Batch=659, step=22260, lr=0.107250, batch loss=0.011987, epoch loss=0.119927 Batch=719, step=22320, lr=0.107000, batch loss=0.017322, epoch loss=0.137249 Batch=779, step=22380, lr=0.106750, batch loss=0.022993, epoch loss=0.160243 Batch=839, step=22440, lr=0.106500, batch loss=0.025992, epoch loss=0.186234 Batch=899, step=22500, lr=0.106250, batch loss=0.026653, epoch loss=0.212887 Batch=959, step=22560, lr=0.106000, batch loss=0.009098, epoch loss=0.221985 Batch=1019, step=22620, lr=0.105750, batch loss=0.008569, epoch loss=0.230554 Batch=1079, step=22680, lr=0.105500, batch loss=0.001382, epoch loss=0.231937 Batch=1139, step=22740, lr=0.105250, batch loss=0.011316, epoch loss=0.243252 Batch=1199, step=22800, lr=0.105000, batch loss=0.005286, epoch loss=0.248539 Epoch=18, step=22800, lr=0.105000, epoch loss=0.248539 Batch=59, step=22860, lr=0.104750, batch loss=0.002608, epoch loss=0.002608 Batch=119, step=22920, lr=0.104500, batch loss=0.005366, epoch loss=0.007974 Batch=179, step=22980, lr=0.104250, batch loss=0.012978, epoch loss=0.020952 Batch=239, step=23040, lr=0.104000, batch loss=0.009685, epoch loss=0.030637 Batch=299, step=23100, lr=0.104000, batch loss=0.001719, epoch loss=0.032357 Batch=359, step=23160, lr=0.103500, batch loss=0.011481, epoch loss=0.043838 Batch=419, step=23220, lr=0.103250, batch loss=0.010078, epoch loss=0.053916 Batch=479, step=23280, lr=0.103000, batch loss=0.002735, epoch loss=0.056651 Batch=539, step=23340, lr=0.102750, batch loss=0.016098, epoch loss=0.072749 Batch=599, step=23400, lr=0.102500, batch loss=0.013707, epoch loss=0.086456 Batch=659, step=23460, lr=0.102500, batch loss=0.011078, epoch loss=0.097534 Batch=719, step=23520, lr=0.102000, batch loss=0.015969, epoch loss=0.113503 Batch=779, step=23580, lr=0.101750, batch loss=0.022072, epoch loss=0.135575 Batch=839, step=23640, lr=0.101500, batch loss=0.023917, epoch loss=0.159492 Batch=899, step=23700, lr=0.101250, batch loss=0.023923, epoch loss=0.183414 Batch=959, step=23760, lr=0.101000, batch loss=0.008179, epoch loss=0.191593 Batch=1019, step=23820, lr=0.100750, batch loss=0.007693, epoch loss=0.199286 Batch=1079, step=23880, lr=0.100500, batch loss=0.001191, epoch loss=0.200477 Batch=1139, step=23940, lr=0.100500, batch loss=0.008388, epoch loss=0.208865 Batch=1199, step=24000, lr=0.100000, batch loss=0.004676, epoch loss=0.213540 Epoch=19, step=24000, lr=0.100000, epoch loss=0.213540 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:36.08 ---> saved as "7fbb2207bbdc2d223cb11783c9287ec9e1ed496e5e8ffc988f54ef95dc09fc08" Job succeeded 2025-03-21 12:36.09: Job succeeded