2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20 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 2025-03-20 22:11.56: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 22:11.56: 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")) ) 2025-03-20 22:11.56: Waiting for resource in pool OCluster 2025-03-20 22:11.56: Waiting for worker… 2025-03-20 22:11.56: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at ccaf459 Missing from previous commit: test update HEAD is now at 4ee46a2 Update GitHub actions (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 2025-03-20 22:11.57 ---> 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")) 2025-03-20 22:11.57 ---> 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 2025-03-20 22:11.57 ---> 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 2025-03-20 22:11.57 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:11.57 ---> 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) 2025-03-20 22:11.57 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:11.57 ---> using "ea884b42750ec3e40c6f693a0412c05ca8ddd28c79ef51e0c7f6b82f07460bf4" 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) 2025-03-20 22:11.57 ---> using "2f2690e6df5acba851f7d1ffea298852edeb7d64e2835ea98736ee88ecb0718d" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:11.57 ---> using "9ee5fd7e04f96e71d7c6dccb6e014df855ba99922e8e6121c6683c81eb85dc4f" 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 [236 kB] - Fetched 9119 kB in 2s (5202 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) ... 2025-03-20 22:11.57 ---> using "310351bfb4bacc357dccad8e85edd1d74566895ea75911a092b892c642e1bd93" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (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_fields_conv.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (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 ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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 bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed ppxlib.0.35.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed 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) 2025-03-20 22:11.57 ---> using "5ca5950713c72cd7153dcc55b3b7db071e740dddfde53604509889041d7b308d" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:12.00 ---> saved as "f72dd461b6c00cca85cd62dd421dadc7bcae3fa887cb0b0a4f2c64b632dc4ce7" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1cec84e4ee8cd23c90111d52506be36d/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1f9c92a52203518b2e1f7c71fda07462/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/1f9c92a52203518b2e1f7c71fda07462/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=0.199250, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626482 Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070286 Batch=359, step=360, lr=0.198500, batch loss=1.330477, epoch loss=38.400763 Batch=419, step=420, lr=0.198250, batch loss=0.617806, epoch loss=39.018569 Batch=479, step=480, lr=0.198250, batch loss=0.823855, epoch loss=39.842424 Batch=539, step=540, lr=0.197750, batch loss=0.688991, epoch loss=40.531414 Batch=599, step=600, lr=0.197500, batch loss=1.065449, epoch loss=41.596863 Batch=659, step=660, lr=0.197250, batch loss=0.483151, epoch loss=42.080015 Batch=719, step=720, lr=0.197000, batch loss=0.411400, epoch loss=42.491414 Batch=779, step=780, lr=0.197000, batch loss=0.469008, epoch loss=42.960422 Batch=839, step=840, lr=0.196500, batch loss=0.443330, epoch loss=43.403752 Batch=899, step=900, lr=0.196250, batch loss=0.383873, epoch loss=43.787625 Batch=959, step=960, lr=0.196250, batch loss=0.237565, epoch loss=44.025190 Batch=1019, step=1020, lr=0.196000, batch loss=0.440326, epoch loss=44.465516 Batch=1079, step=1080, lr=0.195750, batch loss=0.229918, epoch loss=44.695434 Batch=1139, step=1140, lr=0.195250, batch loss=0.315044, epoch loss=45.010478 Batch=1199, step=1200, lr=0.195000, batch loss=0.263474, epoch loss=45.273952 Epoch=0, step=1200, lr=0.195000, epoch loss=45.273952 Batch=59, step=1260, lr=0.195000, batch loss=0.262602, epoch loss=0.262602 Batch=119, step=1320, lr=0.194750, batch loss=0.210950, epoch loss=0.473552 Batch=179, step=1380, lr=0.194250, batch loss=0.244889, epoch loss=0.718441 Batch=239, step=1440, lr=0.194000, batch loss=0.352736, epoch loss=1.071177 Batch=299, step=1500, lr=0.193750, batch loss=0.238885, epoch loss=1.310062 Batch=359, step=1560, lr=0.193750, batch loss=0.312196, epoch loss=1.622258 Batch=419, step=1620, lr=0.193500, batch loss=0.309038, epoch loss=1.931296 Batch=479, step=1680, lr=0.193000, batch loss=0.276183, epoch loss=2.207479 Batch=539, step=1740, lr=0.193000, batch loss=0.211222, epoch loss=2.418700 Batch=599, step=1800, lr=0.192750, batch loss=0.254339, epoch loss=2.673039 Batch=659, step=1860, lr=0.192250, batch loss=0.373277, epoch loss=3.046317 Batch=719, step=1920, lr=0.192000, batch loss=0.360523, epoch loss=3.406840 Batch=779, step=1980, lr=0.191750, batch loss=0.384843, epoch loss=3.791682 Batch=839, step=2040, lr=0.191500, batch loss=0.349174, epoch loss=4.140857 Batch=899, step=2100, lr=0.191500, batch loss=0.324574, epoch loss=4.465431 Batch=959, step=2160, lr=0.191250, batch loss=0.256039, epoch loss=4.721470 Batch=1019, step=2220, lr=0.191000, batch loss=0.393152, epoch loss=5.114622 Batch=1079, step=2280, lr=0.190750, batch loss=0.237807, epoch loss=5.352429 Batch=1139, step=2340, lr=0.190500, batch loss=0.278848, epoch loss=5.631277 Batch=1199, step=2400, lr=0.190250, batch loss=0.215293, epoch loss=5.846571 Epoch=1, step=2400, lr=0.190250, epoch loss=5.846571 Batch=59, step=2460, lr=0.189750, batch loss=0.231215, epoch loss=0.231215 Batch=119, step=2520, lr=0.189500, batch loss=0.191825, epoch loss=0.423040 Batch=179, step=2580, lr=0.189250, batch loss=0.222047, epoch loss=0.645087 Batch=239, step=2640, lr=0.189250, batch loss=0.337164, epoch loss=0.982251 Batch=299, step=2700, lr=0.188750, batch loss=0.213191, epoch loss=1.195442 Batch=359, step=2760, lr=0.188750, batch loss=0.295137, epoch loss=1.490579 Batch=419, step=2820, lr=0.188500, batch loss=0.282465, epoch loss=1.773044 Batch=479, step=2880, lr=0.188000, batch loss=0.258326, epoch loss=2.031370 Batch=539, step=2940, lr=0.188000, batch loss=0.200359, epoch loss=2.231729 Batch=599, step=3000, lr=0.187750, batch loss=0.245298, epoch loss=2.477027 Batch=659, step=3060, lr=0.187250, batch loss=0.347110, epoch loss=2.824137 Batch=719, step=3120, lr=0.187250, batch loss=0.341341, epoch loss=3.165478 Batch=779, step=3180, lr=0.187000, batch loss=0.368887, epoch loss=3.534365 Batch=839, step=3240, lr=0.186750, batch loss=0.323340, epoch loss=3.857705 Batch=899, step=3300, lr=0.186250, batch loss=0.280038, epoch loss=4.137743 Batch=959, step=3360, lr=0.186250, batch loss=0.203077, epoch loss=4.340820 Batch=1019, step=3420, lr=0.185750, batch loss=0.320716, epoch loss=4.661536 Batch=1079, step=3480, lr=0.185500, batch loss=0.187117, epoch loss=4.848652 Batch=1139, step=3540, lr=0.185250, batch loss=0.231021, epoch loss=5.079673 Batch=1199, step=3600, lr=0.185250, batch loss=0.200522, epoch loss=5.280195 Epoch=2, step=3600, lr=0.185250, epoch loss=5.280195 Batch=59, step=3660, lr=0.185000, batch loss=0.234287, epoch loss=0.234287 Batch=119, step=3720, lr=0.184750, batch loss=0.194398, epoch loss=0.428685 Batch=179, step=3780, lr=0.184250, batch loss=0.212358, epoch loss=0.641043 Batch=239, step=3840, lr=0.184000, batch loss=0.315973, epoch loss=0.957016 Batch=299, step=3900, lr=0.183750, batch loss=0.206027, epoch loss=1.163043 Batch=359, step=3960, lr=0.183500, batch loss=0.288318, epoch loss=1.451361 Batch=419, step=4020, lr=0.183250, batch loss=0.275146, epoch loss=1.726507 Batch=479, step=4080, lr=0.183250, batch loss=0.257602, epoch loss=1.984109 Batch=539, step=4140, lr=0.183000, batch loss=0.198120, epoch loss=2.182229 Batch=599, step=4200, lr=0.182750, batch loss=0.239015, epoch loss=2.421244 Batch=659, step=4260, lr=0.182250, batch loss=0.330510, epoch loss=2.751754 Batch=719, step=4320, lr=0.182250, batch loss=0.331814, epoch loss=3.083569 Batch=779, step=4380, lr=0.182000, batch loss=0.358340, epoch loss=3.441909 Batch=839, step=4440, lr=0.181500, batch loss=0.312609, epoch loss=3.754518 Batch=899, step=4500, lr=0.181250, batch loss=0.280304, epoch loss=4.034822 Batch=959, step=4560, lr=0.181250, batch loss=0.207483, epoch loss=4.242305 Batch=1019, step=4620, lr=0.180750, batch loss=0.307530, epoch loss=4.549835 Batch=1079, step=4680, lr=0.180750, batch loss=0.188892, epoch loss=4.738727 Batch=1139, step=4740, lr=0.180500, batch loss=0.230827, epoch loss=4.969554 Batch=1199, step=4800, lr=0.180000, batch loss=0.191775, epoch loss=5.161330 Epoch=3, step=4800, lr=0.180000, epoch loss=5.161330 Batch=59, step=4860, lr=0.180000, batch loss=0.228795, epoch loss=0.228795 Batch=119, step=4920, lr=0.179750, batch loss=0.190496, epoch loss=0.419290 Batch=179, step=4980, lr=0.179250, batch loss=0.205079, epoch loss=0.624369 Batch=239, step=5040, lr=0.179000, batch loss=0.306486, epoch loss=0.930855 Batch=299, step=5100, lr=0.178750, batch loss=0.200036, epoch loss=1.130891 Batch=359, step=5160, lr=0.178500, batch loss=0.275527, epoch loss=1.406418 Batch=419, step=5220, lr=0.178250, batch loss=0.269794, epoch loss=1.676212 Batch=479, step=5280, lr=0.178000, batch loss=0.253299, epoch loss=1.929511 Batch=539, step=5340, lr=0.177750, batch loss=0.194146, epoch loss=2.123657 Batch=599, step=5400, lr=0.177500, batch loss=0.244872, epoch loss=2.368528 Batch=659, step=5460, lr=0.177250, batch loss=0.321606, epoch loss=2.690135 Batch=719, step=5520, lr=0.177250, batch loss=0.324170, epoch loss=3.014305 Batch=779, step=5580, lr=0.176750, batch loss=0.340211, epoch loss=3.354516 Batch=839, step=5640, lr=0.176500, batch loss=0.313527, epoch loss=3.668043 Batch=899, step=5700, lr=0.176500, batch loss=0.277056, epoch loss=3.945099 Batch=959, step=5760, lr=0.176000, batch loss=0.220511, epoch loss=4.165610 Batch=1019, step=5820, lr=0.176000, batch loss=0.336660, epoch loss=4.502270 Batch=1079, step=5880, lr=0.175750, batch loss=0.195365, epoch loss=4.697635 Batch=1139, step=5940, lr=0.175250, batch loss=0.233521, epoch loss=4.931156 Batch=1199, step=6000, lr=0.175000, batch loss=0.185810, epoch loss=5.116966 Epoch=4, step=6000, lr=0.175000, epoch loss=5.116966 Batch=59, step=6060, lr=0.175000, batch loss=0.226597, epoch loss=0.226597 Batch=119, step=6120, lr=0.174750, batch loss=0.184675, epoch loss=0.411271 Batch=179, step=6180, lr=0.174500, batch loss=0.201235, epoch loss=0.612506 Batch=239, step=6240, lr=0.174250, batch loss=0.300589, epoch loss=0.913096 Batch=299, step=6300, lr=0.173750, batch loss=0.203835, epoch loss=1.116930 Batch=359, step=6360, lr=0.173500, batch loss=0.261657, epoch loss=1.378588 Batch=419, step=6420, lr=0.173500, batch loss=0.258139, epoch loss=1.636726 Batch=479, step=6480, lr=0.173250, batch loss=0.230947, epoch loss=1.867674 Batch=539, step=6540, lr=0.173000, batch loss=0.187571, epoch loss=2.055245 Batch=599, step=6600, lr=0.172750, batch loss=0.228877, epoch loss=2.284122 Batch=659, step=6660, lr=0.172500, batch loss=0.315353, epoch loss=2.599474 Batch=719, step=6720, lr=0.172000, batch loss=0.318014, epoch loss=2.917488 Batch=779, step=6780, lr=0.172000, batch loss=0.328600, epoch loss=3.246089 Batch=839, step=6840, lr=0.171500, batch loss=0.301587, epoch loss=3.547676 Batch=899, step=6900, lr=0.171500, batch loss=0.270024, epoch loss=3.817700 Batch=959, step=6960, lr=0.171000, batch loss=0.207506, epoch loss=4.025206 Batch=1019, step=7020, lr=0.171000, batch loss=0.332618, epoch loss=4.357824 Batch=1079, step=7080, lr=0.170750, batch loss=0.182213, epoch loss=4.540036 Batch=1139, step=7140, lr=0.170250, batch loss=0.216907, epoch loss=4.756944 Batch=1199, step=7200, lr=0.170250, batch loss=0.182429, epoch loss=4.939372 Epoch=5, step=7200, lr=0.170250, epoch loss=4.939372 Batch=59, step=7260, lr=0.169750, batch loss=0.241327, epoch loss=0.241327 Batch=119, step=7320, lr=0.169750, batch loss=0.179961, epoch loss=0.421287 Batch=179, step=7380, lr=0.169250, batch loss=0.195177, epoch loss=0.616464 Batch=239, step=7440, lr=0.169000, batch loss=0.291602, epoch loss=0.908067 Batch=299, step=7500, lr=0.168750, batch loss=0.210504, epoch loss=1.118571 Batch=359, step=7560, lr=0.168500, batch loss=0.262915, epoch loss=1.381486 Batch=419, step=7620, lr=0.168250, batch loss=0.254819, epoch loss=1.636306 Batch=479, step=7680, lr=0.168250, batch loss=0.232839, epoch loss=1.869144 Batch=539, step=7740, lr=0.167750, batch loss=0.186801, epoch loss=2.055946 Batch=599, step=7800, lr=0.167750, batch loss=0.225207, epoch loss=2.281153 Batch=659, step=7860, lr=0.167500, batch loss=0.305706, epoch loss=2.586859 Batch=719, step=7920, lr=0.167250, batch loss=0.306683, epoch loss=2.893541 Batch=779, step=7980, lr=0.166750, batch loss=0.322441, epoch loss=3.215983 Batch=839, step=8040, lr=0.166750, batch loss=0.295238, epoch loss=3.511221 Batch=899, step=8100, lr=0.166500, batch loss=0.260430, epoch loss=3.771651 Batch=959, step=8160, lr=0.166000, batch loss=0.205656, epoch loss=3.977306 Batch=1019, step=8220, lr=0.166000, batch loss=0.320663, epoch loss=4.297970 Batch=1079, step=8280, lr=0.165500, batch loss=0.172035, epoch loss=4.470004 Batch=1139, step=8340, lr=0.165250, batch loss=0.210035, epoch loss=4.680039 Batch=1199, step=8400, lr=0.165250, batch loss=0.178933, epoch loss=4.858973 Epoch=6, step=8400, lr=0.165250, epoch loss=4.858973 Batch=59, step=8460, lr=0.165000, batch loss=0.229114, epoch loss=0.229114 Batch=119, step=8520, lr=0.164500, batch loss=0.175691, epoch loss=0.404805 Batch=179, step=8580, lr=0.164500, batch loss=0.187673, epoch loss=0.592478 Batch=239, step=8640, lr=0.164000, batch loss=0.276159, epoch loss=0.868637 Batch=299, step=8700, lr=0.163750, batch loss=0.185044, epoch loss=1.053681 Batch=359, step=8760, lr=0.163500, batch loss=0.245515, epoch loss=1.299196 Batch=419, step=8820, lr=0.163250, batch loss=0.241721, epoch loss=1.540917 Batch=479, step=8880, lr=0.163000, batch loss=0.223262, epoch loss=1.764179 Batch=539, step=8940, lr=0.163000, batch loss=0.184867, epoch loss=1.949046 Batch=599, step=9000, lr=0.162750, batch loss=0.211829, epoch loss=2.160875 Batch=659, step=9060, lr=0.162250, batch loss=0.294460, epoch loss=2.455336 Batch=719, step=9120, lr=0.162000, batch loss=0.294459, epoch loss=2.749794 Batch=779, step=9180, lr=0.162000, batch loss=0.315228, epoch loss=3.065023 Batch=839, step=9240, lr=0.161750, batch loss=0.286742, epoch loss=3.351765 Batch=899, step=9300, lr=0.161500, batch loss=0.250902, epoch loss=3.602667 Batch=959, step=9360, lr=0.161000, batch loss=0.188705, epoch loss=3.791373 Batch=1019, step=9420, lr=0.160750, batch loss=0.315441, epoch loss=4.106813 Batch=1079, step=9480, lr=0.160500, batch loss=0.190396, epoch loss=4.297209 Batch=1139, step=9540, lr=0.160500, batch loss=0.211555, epoch loss=4.508764 Batch=1199, step=9600, lr=0.160250, batch loss=0.167339, epoch loss=4.676102 Epoch=7, step=9600, lr=0.160250, epoch loss=4.676102 Batch=59, step=9660, lr=0.159750, batch loss=0.200369, epoch loss=0.200369 Batch=119, step=9720, lr=0.159500, batch loss=0.164989, epoch loss=0.365358 Batch=179, step=9780, lr=0.159250, batch loss=0.178370, epoch loss=0.543728 Batch=239, step=9840, lr=0.159250, batch loss=0.261375, epoch loss=0.805103 Batch=299, step=9900, lr=0.158750, batch loss=0.184545, epoch loss=0.989648 Batch=359, step=9960, lr=0.158500, batch loss=0.241741, epoch loss=1.231389 Batch=419, step=10020, lr=0.158250, batch loss=0.233451, epoch loss=1.464840 Batch=479, step=10080, lr=0.158000, batch loss=0.220190, epoch loss=1.685030 Batch=539, step=10140, lr=0.158000, batch loss=0.170437, epoch loss=1.855467 Batch=599, step=10200, lr=0.157500, batch loss=0.203851, epoch loss=2.059317 Batch=659, step=10260, lr=0.157250, batch loss=0.280013, epoch loss=2.339330 Batch=719, step=10320, lr=0.157250, batch loss=0.285873, epoch loss=2.625203 Batch=779, step=10380, lr=0.156750, batch loss=0.293585, epoch loss=2.918788 Batch=839, step=10440, lr=0.156500, batch loss=0.266832, epoch loss=3.185621 Batch=899, step=10500, lr=0.156500, batch loss=0.243712, epoch loss=3.429332 Batch=959, step=10560, lr=0.156000, batch loss=0.195401, epoch loss=3.624733 Batch=1019, step=10620, lr=0.155750, batch loss=0.284416, epoch loss=3.909149 Batch=1079, step=10680, lr=0.155500, batch loss=0.187981, epoch loss=4.097130 Batch=1139, step=10740, lr=0.155250, batch loss=0.209448, epoch loss=4.306578 Batch=1199, step=10800, lr=0.155000, batch loss=0.156938, epoch loss=4.463517 Epoch=8, step=10800, lr=0.155000, epoch loss=4.463517 Batch=59, step=10860, lr=0.154750, batch loss=0.180092, epoch loss=0.180092 Batch=119, step=10920, lr=0.154500, batch loss=0.150746, epoch loss=0.330838 Batch=179, step=10980, lr=0.154250, batch loss=0.166718, epoch loss=0.497556 Batch=239, step=11040, lr=0.154000, batch loss=0.246555, epoch loss=0.744112 Batch=299, step=11100, lr=0.154000, batch loss=0.162511, epoch loss=0.906622 Batch=359, step=11160, lr=0.153500, batch loss=0.227483, epoch loss=1.134105 Batch=419, step=11220, lr=0.153250, batch loss=0.233795, epoch loss=1.367900 Batch=479, step=11280, lr=0.153000, batch loss=0.199248, epoch loss=1.567148 Batch=539, step=11340, lr=0.152750, batch loss=0.157965, epoch loss=1.725113 Batch=599, step=11400, lr=0.152500, batch loss=0.181235, epoch loss=1.906349 Batch=659, step=11460, lr=0.152500, batch loss=0.263009, epoch loss=2.169357 Batch=719, step=11520, lr=0.152000, batch loss=0.259061, epoch loss=2.428418 Batch=779, step=11580, lr=0.151750, batch loss=0.270665, epoch loss=2.699083 Batch=839, step=11640, lr=0.151750, batch loss=0.250125, epoch loss=2.949208 Batch=899, step=11700, lr=0.151500, batch loss=0.218701, epoch loss=3.167909 Batch=959, step=11760, lr=0.151000, batch loss=0.170582, epoch loss=3.338491 Batch=1019, step=11820, lr=0.150750, batch loss=0.262655, epoch loss=3.601146 Batch=1079, step=11880, lr=0.150500, batch loss=0.155133, epoch loss=3.756279 Batch=1139, step=11940, lr=0.150250, batch loss=0.192458, epoch loss=3.948737 Batch=1199, step=12000, lr=0.150000, batch loss=0.139875, epoch loss=4.088612 Epoch=9, step=12000, lr=0.150000, epoch loss=4.088612 Batch=59, step=12060, lr=0.149750, batch loss=0.162372, epoch loss=0.162372 Batch=119, step=12120, lr=0.149500, batch loss=0.136212, epoch loss=0.298584 Batch=179, step=12180, lr=0.149250, batch loss=0.150970, epoch loss=0.449553 Batch=239, step=12240, lr=0.149000, batch loss=0.218457, epoch loss=0.668010 Batch=299, step=12300, lr=0.148750, batch loss=0.144299, epoch loss=0.812310 Batch=359, step=12360, lr=0.148750, batch loss=0.196703, epoch loss=1.009013 Batch=419, step=12420, lr=0.148250, batch loss=0.208723, epoch loss=1.217736 Batch=479, step=12480, lr=0.148000, batch loss=0.177377, epoch loss=1.395112 Batch=539, step=12540, lr=0.147750, batch loss=0.144148, epoch loss=1.539260 Batch=599, step=12600, lr=0.147500, batch loss=0.149070, epoch loss=1.688330 Batch=659, step=12660, lr=0.147250, batch loss=0.221545, epoch loss=1.909875 Batch=719, step=12720, lr=0.147250, batch loss=0.227787, epoch loss=2.137662 Batch=779, step=12780, lr=0.146750, batch loss=0.244266, epoch loss=2.381928 Batch=839, step=12840, lr=0.146500, batch loss=0.227468, epoch loss=2.609396 Batch=899, step=12900, lr=0.146250, batch loss=0.189283, epoch loss=2.798679 Batch=959, step=12960, lr=0.146000, batch loss=0.172894, epoch loss=2.971573 Batch=1019, step=13020, lr=0.145750, batch loss=0.313364, epoch loss=3.284937 Batch=1079, step=13080, lr=0.145500, batch loss=0.113435, epoch loss=3.398371 Batch=1139, step=13140, lr=0.145250, batch loss=0.155794, epoch loss=3.554165 Batch=1199, step=13200, lr=0.145000, batch loss=0.119749, epoch loss=3.673914 Epoch=10, step=13200, lr=0.145000, epoch loss=3.673914 Batch=59, step=13260, lr=0.145000, batch loss=0.141537, epoch loss=0.141537 Batch=119, step=13320, lr=0.144500, batch loss=0.121291, epoch loss=0.262828 Batch=179, step=13380, lr=0.144250, batch loss=0.130589, epoch loss=0.393416 Batch=239, step=13440, lr=0.144000, batch loss=0.193181, epoch loss=0.586597 Batch=299, step=13500, lr=0.143750, batch loss=0.116900, epoch loss=0.703497 Batch=359, step=13560, lr=0.143750, batch loss=0.159653, epoch loss=0.863151 Batch=419, step=13620, lr=0.143250, batch loss=0.156940, epoch loss=1.020090 Batch=479, step=13680, lr=0.143250, batch loss=0.141651, epoch loss=1.161742 Batch=539, step=13740, lr=0.142750, batch loss=0.121517, epoch loss=1.283258 Batch=599, step=13800, lr=0.142500, batch loss=0.120710, epoch loss=1.403968 Batch=659, step=13860, lr=0.142250, batch loss=0.177770, epoch loss=1.581738 Batch=719, step=13920, lr=0.142000, batch loss=0.174547, epoch loss=1.756286 Batch=779, step=13980, lr=0.141750, batch loss=0.188766, epoch loss=1.945051 Batch=839, step=14040, lr=0.141500, batch loss=0.192052, epoch loss=2.137103 Batch=899, step=14100, lr=0.141250, batch loss=0.196990, epoch loss=2.334094 Batch=959, step=14160, lr=0.141000, batch loss=0.120758, epoch loss=2.454852 Batch=1019, step=14220, lr=0.140750, batch loss=0.202370, epoch loss=2.657222 Batch=1079, step=14280, lr=0.140500, batch loss=0.076728, epoch loss=2.733950 Batch=1139, step=14340, lr=0.140250, batch loss=0.115850, epoch loss=2.849800 Batch=1199, step=14400, lr=0.140250, batch loss=0.085256, epoch loss=2.935056 Epoch=11, step=14400, lr=0.140250, epoch loss=2.935056 Batch=59, step=14460, lr=0.139750, batch loss=0.110407, epoch loss=0.110407 Batch=119, step=14520, lr=0.139750, batch loss=0.111899, epoch loss=0.222306 Batch=179, step=14580, lr=0.139250, batch loss=0.102279, epoch loss=0.324585 Batch=239, step=14640, lr=0.139250, batch loss=0.141253, epoch loss=0.465838 Batch=299, step=14700, lr=0.138750, batch loss=0.078161, epoch loss=0.544000 Batch=359, step=14760, lr=0.138500, batch loss=0.120617, epoch loss=0.664617 Batch=419, step=14820, lr=0.138250, batch loss=0.132927, epoch loss=0.797544 Batch=479, step=14880, lr=0.138000, batch loss=0.100228, epoch loss=0.897771 Batch=539, step=14940, lr=0.137750, batch loss=0.101826, epoch loss=0.999597 Batch=599, step=15000, lr=0.137500, batch loss=0.083795, epoch loss=1.083392 Batch=659, step=15060, lr=0.137500, batch loss=0.126160, epoch loss=1.209552 Batch=719, step=15120, lr=0.137000, batch loss=0.130352, epoch loss=1.339905 Batch=779, step=15180, lr=0.136750, batch loss=0.174664, epoch loss=1.514569 Batch=839, step=15240, lr=0.136500, batch loss=0.159298, epoch loss=1.673867 Batch=899, step=15300, lr=0.136250, batch loss=0.284097, epoch loss=1.957964 Batch=959, step=15360, lr=0.136000, batch loss=0.060051, epoch loss=2.018014 Batch=1019, step=15420, lr=0.136000, batch loss=0.136005, epoch loss=2.154019 Batch=1079, step=15480, lr=0.135500, batch loss=0.045100, epoch loss=2.199119 Batch=1139, step=15540, lr=0.135250, batch loss=0.097206, epoch loss=2.296326 Batch=1199, step=15600, lr=0.135000, batch loss=0.061118, epoch loss=2.357444 Epoch=12, step=15600, lr=0.135000, epoch loss=2.357444 Batch=59, step=15660, lr=0.134750, batch loss=0.082788, epoch loss=0.082788 Batch=119, step=15720, lr=0.134500, batch loss=0.125904, epoch loss=0.208692 Batch=179, step=15780, lr=0.134500, batch loss=0.095833, epoch loss=0.304525 Batch=239, step=15840, lr=0.134250, batch loss=0.096956, epoch loss=0.401481 Batch=299, step=15900, lr=0.133750, batch loss=0.039859, epoch loss=0.441340 Batch=359, step=15960, lr=0.133500, batch loss=0.084530, epoch loss=0.525870 Batch=419, step=16020, lr=0.133500, batch loss=0.079701, epoch loss=0.605571 Batch=479, step=16080, lr=0.133250, batch loss=0.055898, epoch loss=0.661469 Batch=539, step=16140, lr=0.132750, batch loss=0.075987, epoch loss=0.737456 Batch=599, step=16200, lr=0.132500, batch loss=0.165864, epoch loss=0.903320 Batch=659, step=16260, lr=0.132250, batch loss=0.097316, epoch loss=1.000636 Batch=719, step=16320, lr=0.132000, batch loss=0.129765, epoch loss=1.130401 Batch=779, step=16380, lr=0.131750, batch loss=0.282145, epoch loss=1.412546 Batch=839, step=16440, lr=0.131750, batch loss=0.093350, epoch loss=1.505896 Batch=899, step=16500, lr=0.131250, batch loss=0.078541, epoch loss=1.584437 Batch=959, step=16560, lr=0.131000, batch loss=0.031572, epoch loss=1.616010 Batch=1019, step=16620, lr=0.130750, batch loss=0.064491, epoch loss=1.680501 Batch=1079, step=16680, lr=0.130500, batch loss=0.054414, epoch loss=1.734915 Batch=1139, step=16740, lr=0.130500, batch loss=0.097505, epoch loss=1.832420 Batch=1199, step=16800, lr=0.130000, batch loss=0.048598, epoch loss=1.881017 Epoch=13, step=16800, lr=0.130000, epoch loss=1.881017 Batch=59, step=16860, lr=0.129750, batch loss=0.036065, epoch loss=0.036065 Batch=119, step=16920, lr=0.129500, batch loss=0.034894, epoch loss=0.070959 Batch=179, step=16980, lr=0.129250, batch loss=0.043960, epoch loss=0.114919 Batch=239, step=17040, lr=0.129250, batch loss=0.060755, epoch loss=0.175673 Batch=299, step=17100, lr=0.128750, batch loss=0.022557, epoch loss=0.198231 Batch=359, step=17160, lr=0.128500, batch loss=0.047123, epoch loss=0.245353 Batch=419, step=17220, lr=0.128250, batch loss=0.079160, epoch loss=0.324513 Batch=479, step=17280, lr=0.128000, batch loss=0.026661, epoch loss=0.351174 Batch=539, step=17340, lr=0.127750, batch loss=0.027569, epoch loss=0.378743 Batch=599, step=17400, lr=0.127500, batch loss=0.034888, epoch loss=0.413631 Batch=659, step=17460, lr=0.127250, batch loss=0.045593, epoch loss=0.459224 Batch=719, step=17520, lr=0.127250, batch loss=0.041626, epoch loss=0.500850 Batch=779, step=17580, lr=0.126750, batch loss=0.050363, epoch loss=0.551213 Batch=839, step=17640, lr=0.126750, batch loss=0.091445, epoch loss=0.642658 Batch=899, step=17700, lr=0.126250, batch loss=0.123775, epoch loss=0.766433 Batch=959, step=17760, lr=0.126000, batch loss=0.032889, epoch loss=0.799322 Batch=1019, step=17820, lr=0.125750, batch loss=0.076061, epoch loss=0.875384 Batch=1079, step=17880, lr=0.125750, batch loss=0.019297, epoch loss=0.894680 Batch=1139, step=17940, lr=0.125500, batch loss=0.042510, epoch loss=0.937191 Batch=1199, step=18000, lr=0.125000, batch loss=0.017873, epoch loss=0.955064 Epoch=14, step=18000, lr=0.125000, epoch loss=0.955064 Batch=59, step=18060, lr=0.125000, batch loss=0.014206, epoch loss=0.014206 Batch=119, step=18120, lr=0.124500, batch loss=0.019376, epoch loss=0.033582 Batch=179, step=18180, lr=0.124250, batch loss=0.029371, epoch loss=0.062954 Batch=239, step=18240, lr=0.124250, batch loss=0.033927, epoch loss=0.096881 Batch=299, step=18300, lr=0.123750, batch loss=0.009436, epoch loss=0.106317 Batch=359, step=18360, lr=0.123750, batch loss=0.024443, epoch loss=0.130760 Batch=419, step=18420, lr=0.123500, batch loss=0.036176, epoch loss=0.166935 Batch=479, step=18480, lr=0.123000, batch loss=0.020900, epoch loss=0.187835 Batch=539, step=18540, lr=0.122750, batch loss=0.043179, epoch loss=0.231014 Batch=599, step=18600, lr=0.122750, batch loss=0.026611, epoch loss=0.257625 Batch=659, step=18660, lr=0.122250, batch loss=0.033623, epoch loss=0.291248 Batch=719, step=18720, lr=0.122000, batch loss=0.043054, epoch loss=0.334302 Batch=779, step=18780, lr=0.121750, batch loss=0.116171, epoch loss=0.450473 Batch=839, step=18840, lr=0.121750, batch loss=0.053707, epoch loss=0.504180 Batch=899, step=18900, lr=0.121500, batch loss=0.052115, epoch loss=0.556294 Batch=959, step=18960, lr=0.121000, batch loss=0.014419, epoch loss=0.570713 Batch=1019, step=19020, lr=0.121000, batch loss=0.022056, epoch loss=0.592769 Batch=1079, step=19080, lr=0.120750, batch loss=0.009328, epoch loss=0.602097 Batch=1139, step=19140, lr=0.120500, batch loss=0.023275, epoch loss=0.625372 Batch=1199, step=19200, lr=0.120250, batch loss=0.009312, epoch loss=0.634683 Epoch=15, step=19200, lr=0.120250, epoch loss=0.634683 Batch=59, step=19260, lr=0.120000, batch loss=0.004212, epoch loss=0.004212 Batch=119, step=19320, lr=0.119750, batch loss=0.016538, epoch loss=0.020750 Batch=179, step=19380, lr=0.119250, batch loss=0.043094, epoch loss=0.063844 Batch=239, step=19440, lr=0.119000, batch loss=0.021376, epoch loss=0.085221 Batch=299, step=19500, lr=0.118750, batch loss=0.004778, epoch loss=0.089998 Batch=359, step=19560, lr=0.118500, batch loss=0.017200, epoch loss=0.107198 Batch=419, step=19620, lr=0.118250, batch loss=0.020380, epoch loss=0.127578 Batch=479, step=19680, lr=0.118000, batch loss=0.008932, epoch loss=0.136510 Batch=539, step=19740, lr=0.117750, batch loss=0.017355, epoch loss=0.153865 Batch=599, step=19800, lr=0.117750, batch loss=0.024244, epoch loss=0.178108 Batch=659, step=19860, lr=0.117250, batch loss=0.018451, epoch loss=0.196560 Batch=719, step=19920, lr=0.117000, batch loss=0.058108, epoch loss=0.254668 Batch=779, step=19980, lr=0.116750, batch loss=0.075873, epoch loss=0.330541 Batch=839, step=20040, lr=0.116500, batch loss=0.030838, epoch loss=0.361378 Batch=899, step=20100, lr=0.116250, batch loss=0.029265, epoch loss=0.390643 Batch=959, step=20160, lr=0.116000, batch loss=0.017877, epoch loss=0.408519 Batch=1019, step=20220, lr=0.115750, batch loss=0.024455, epoch loss=0.432975 Batch=1079, step=20280, lr=0.115500, batch loss=0.002345, epoch loss=0.435319 Batch=1139, step=20340, lr=0.115500, batch loss=0.015069, epoch loss=0.450388 Batch=1199, step=20400, lr=0.115250, batch loss=0.005984, epoch loss=0.456373 Epoch=16, step=20400, lr=0.115250, epoch loss=0.456373 Batch=59, step=20460, lr=0.114750, batch loss=0.002928, epoch loss=0.002928 Batch=119, step=20520, lr=0.114500, batch loss=0.011398, epoch loss=0.014326 Batch=179, step=20580, lr=0.114250, batch loss=0.025716, epoch loss=0.040042 Batch=239, step=20640, lr=0.114250, batch loss=0.013976, epoch loss=0.054018 Batch=299, step=20700, lr=0.113750, batch loss=0.009496, epoch loss=0.063514 Batch=359, step=20760, lr=0.113750, batch loss=0.018904, epoch loss=0.082417 Batch=419, step=20820, lr=0.113250, batch loss=0.015973, epoch loss=0.098391 Batch=479, step=20880, lr=0.113000, batch loss=0.004828, epoch loss=0.103219 Batch=539, step=20940, lr=0.113000, batch loss=0.025555, epoch loss=0.128774 Batch=599, step=21000, lr=0.112500, batch loss=0.022851, epoch loss=0.151625 Batch=659, step=21060, lr=0.112250, batch loss=0.016567, epoch loss=0.168192 Batch=719, step=21120, lr=0.112250, batch loss=0.046784, epoch loss=0.214976 Batch=779, step=21180, lr=0.111750, batch loss=0.065866, epoch loss=0.280842 Batch=839, step=21240, lr=0.111500, batch loss=0.024985, epoch loss=0.305827 Batch=899, step=21300, lr=0.111250, batch loss=0.031100, epoch loss=0.336928 Batch=959, step=21360, lr=0.111000, batch loss=0.010927, epoch loss=0.347855 Batch=1019, step=21420, lr=0.110750, batch loss=0.013439, epoch loss=0.361294 Batch=1079, step=21480, lr=0.110500, batch loss=0.001418, epoch loss=0.362712 Batch=1139, step=21540, lr=0.110250, batch loss=0.012854, epoch loss=0.375566 Batch=1199, step=21600, lr=0.110250, batch loss=0.005000, epoch loss=0.380566 Epoch=17, step=21600, lr=0.110250, epoch loss=0.380566 Batch=59, step=21660, lr=0.109750, batch loss=0.001704, epoch loss=0.001704 Batch=119, step=21720, lr=0.109750, batch loss=0.007633, epoch loss=0.009337 Batch=179, step=21780, lr=0.109250, batch loss=0.012187, epoch loss=0.021524 Batch=239, step=21840, lr=0.109000, batch loss=0.014336, epoch loss=0.035860 Batch=299, step=21900, lr=0.108750, batch loss=0.002335, epoch loss=0.038195 Batch=359, step=21960, lr=0.108500, batch loss=0.011585, epoch loss=0.049779 Batch=419, step=22020, lr=0.108250, batch loss=0.012752, epoch loss=0.062532 Batch=479, step=22080, lr=0.108000, batch loss=0.003028, epoch loss=0.065559 Batch=539, step=22140, lr=0.107750, batch loss=0.016619, epoch loss=0.082178 Batch=599, step=22200, lr=0.107500, batch loss=0.016623, epoch loss=0.098802 Batch=659, step=22260, lr=0.107250, batch loss=0.016908, epoch loss=0.115709 Batch=719, step=22320, lr=0.107000, batch loss=0.030077, epoch loss=0.145787 Batch=779, step=22380, lr=0.106750, batch loss=0.048395, epoch loss=0.194182 Batch=839, step=22440, lr=0.106500, batch loss=0.021033, epoch loss=0.215215 Batch=899, step=22500, lr=0.106250, batch loss=0.021786, epoch loss=0.237000 Batch=959, step=22560, lr=0.106000, batch loss=0.010078, epoch loss=0.247078 Batch=1019, step=22620, lr=0.105750, batch loss=0.009927, epoch loss=0.257005 Batch=1079, step=22680, lr=0.105750, batch loss=0.000327, epoch loss=0.257332 Batch=1139, step=22740, lr=0.105250, batch loss=0.010516, epoch loss=0.267849 Batch=1199, step=22800, lr=0.105000, batch loss=0.004521, epoch loss=0.272370 Epoch=18, step=22800, lr=0.105000, epoch loss=0.272370 Batch=59, step=22860, lr=0.104750, batch loss=0.001299, epoch loss=0.001299 Batch=119, step=22920, lr=0.104500, batch loss=0.005083, epoch loss=0.006381 Batch=179, step=22980, lr=0.104250, batch loss=0.009868, epoch loss=0.016250 Batch=239, step=23040, lr=0.104000, batch loss=0.008531, epoch loss=0.024781 Batch=299, step=23100, lr=0.103750, batch loss=0.005900, epoch loss=0.030681 Batch=359, step=23160, lr=0.103500, batch loss=0.009645, epoch loss=0.040326 Batch=419, step=23220, lr=0.103250, batch loss=0.010210, epoch loss=0.050536 Batch=479, step=23280, lr=0.103250, batch loss=0.002228, epoch loss=0.052764 Batch=539, step=23340, lr=0.103000, batch loss=0.017472, epoch loss=0.070236 Batch=599, step=23400, lr=0.102500, batch loss=0.014761, epoch loss=0.084997 Batch=659, step=23460, lr=0.102250, batch loss=0.012351, epoch loss=0.097348 Batch=719, step=23520, lr=0.102250, batch loss=0.014173, epoch loss=0.111521 Batch=779, step=23580, lr=0.101750, batch loss=0.022772, epoch loss=0.134293 Batch=839, step=23640, lr=0.101750, batch loss=0.027843, epoch loss=0.162136 Batch=899, step=23700, lr=0.101500, batch loss=0.021480, epoch loss=0.183616 Batch=959, step=23760, lr=0.101000, batch loss=0.010174, epoch loss=0.193790 Batch=1019, step=23820, lr=0.100750, batch loss=0.008352, epoch loss=0.202142 Batch=1079, step=23880, lr=0.100500, batch loss=0.000159, epoch loss=0.202301 Batch=1139, step=23940, lr=0.100500, batch loss=0.008716, epoch loss=0.211018 Batch=1199, step=24000, lr=0.100000, batch loss=0.004504, epoch loss=0.215521 Epoch=19, step=24000, lr=0.100000, epoch loss=0.215521 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##***************.******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:12.40 ---> saved as "04e704f10a703339e3403358db43747987129fa2532fdbfa33e77c5837368c14" Job succeeded 2025-03-20 22:12.41: Job succeeded