2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb 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 22:29.24: 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 22:29.24: 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 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.24: Waiting for worker… 2025-03-20 22:29.24: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at 4ee46a2 Update GitHub actions HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3 (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 22:29.25 ---> 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 22:29.25 ---> 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 22:29.25 ---> 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 22:29.25 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:29.25 ---> 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 22:29.25 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:29.26 ---> saved as "93903239a2543bd20dc18927cc0a4700513f22d2108f3ef0eedee7d2bc6bb6c8" /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 22:29.30 ---> saved as "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:29.30 ---> saved as "f7f08e76359f535d1ca6a8f37927ce04b2434ecd1c5e1e6ef7fb900fe2813f98" /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) ... 2025-03-20 22:29.49 ---> saved as "7f56bc83e52c7303e6b0b613be6c58b926d6986fb422146f4e92f22b56e295da" /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) 2025-03-20 22:31.10 ---> saved as "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" /src: (copy (src .) (dst /src)) 2025-03-20 22:31.13 ---> saved as "7cff71ecfca08c1c4d9939fee3811db093e109639d5157dbdfab1064e79b0f29" /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/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b4fe53bd1f07c813c24f9542115d837d/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b045e3808fda6486bdd10540c0806100/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/b045e3808fda6486bdd10540c0806100/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=0.199500, batch loss=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770209 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616879 Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071853 Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398751 Batch=419, step=420, lr=0.198500, batch loss=0.621517, epoch loss=39.020268 Batch=479, step=480, lr=0.198250, batch loss=0.818626, epoch loss=39.838894 Batch=539, step=540, lr=0.198000, batch loss=0.697867, epoch loss=40.536761 Batch=599, step=600, lr=0.197500, batch loss=1.059976, epoch loss=41.596737 Batch=659, step=660, lr=0.197500, batch loss=0.484566, epoch loss=42.081302 Batch=719, step=720, lr=0.197250, batch loss=0.412443, epoch loss=42.493745 Batch=779, step=780, lr=0.197000, batch loss=0.472129, epoch loss=42.965874 Batch=839, step=840, lr=0.196750, batch loss=0.448747, epoch loss=43.414621 Batch=899, step=900, lr=0.196500, batch loss=0.387565, epoch loss=43.802186 Batch=959, step=960, lr=0.196250, batch loss=0.253246, epoch loss=44.055433 Batch=1019, step=1020, lr=0.195750, batch loss=0.477765, epoch loss=44.533198 Batch=1079, step=1080, lr=0.195500, batch loss=0.262054, epoch loss=44.795252 Batch=1139, step=1140, lr=0.195500, batch loss=0.341237, epoch loss=45.136489 Batch=1199, step=1200, lr=0.195000, batch loss=0.265982, epoch loss=45.402471 Epoch=0, step=1200, lr=0.195000, epoch loss=45.402471 Batch=59, step=1260, lr=0.194750, batch loss=0.265209, epoch loss=0.265209 Batch=119, step=1320, lr=0.194750, batch loss=0.203763, epoch loss=0.468972 Batch=179, step=1380, lr=0.194250, batch loss=0.246613, epoch loss=0.715585 Batch=239, step=1440, lr=0.194000, batch loss=0.348786, epoch loss=1.064371 Batch=299, step=1500, lr=0.193750, batch loss=0.241519, epoch loss=1.305890 Batch=359, step=1560, lr=0.193750, batch loss=0.315118, epoch loss=1.621008 Batch=419, step=1620, lr=0.193250, batch loss=0.310771, epoch loss=1.931779 Batch=479, step=1680, lr=0.193250, batch loss=0.276111, epoch loss=2.207890 Batch=539, step=1740, lr=0.192750, batch loss=0.211321, epoch loss=2.419211 Batch=599, step=1800, lr=0.192500, batch loss=0.260865, epoch loss=2.680076 Batch=659, step=1860, lr=0.192250, batch loss=0.376994, epoch loss=3.057071 Batch=719, step=1920, lr=0.192000, batch loss=0.360420, epoch loss=3.417490 Batch=779, step=1980, lr=0.191750, batch loss=0.386547, epoch loss=3.804037 Batch=839, step=2040, lr=0.191500, batch loss=0.349582, epoch loss=4.153619 Batch=899, step=2100, lr=0.191250, batch loss=0.324846, epoch loss=4.478465 Batch=959, step=2160, lr=0.191000, batch loss=0.253664, epoch loss=4.732130 Batch=1019, step=2220, lr=0.190750, batch loss=0.386074, epoch loss=5.118203 Batch=1079, step=2280, lr=0.190500, batch loss=0.208228, epoch loss=5.326431 Batch=1139, step=2340, lr=0.190250, batch loss=0.258220, epoch loss=5.584651 Batch=1199, step=2400, lr=0.190000, batch loss=0.211815, epoch loss=5.796466 Epoch=1, step=2400, lr=0.190000, epoch loss=5.796466 Batch=59, step=2460, lr=0.189750, batch loss=0.239010, epoch loss=0.239010 Batch=119, step=2520, lr=0.189500, batch loss=0.204061, epoch loss=0.443071 Batch=179, step=2580, lr=0.189250, batch loss=0.223318, epoch loss=0.666389 Batch=239, step=2640, lr=0.189000, batch loss=0.329849, epoch loss=0.996238 Batch=299, step=2700, lr=0.188750, batch loss=0.205653, epoch loss=1.201891 Batch=359, step=2760, lr=0.188750, batch loss=0.289738, epoch loss=1.491629 Batch=419, step=2820, lr=0.188250, batch loss=0.281520, epoch loss=1.773149 Batch=479, step=2880, lr=0.188250, batch loss=0.253513, epoch loss=2.026662 Batch=539, step=2940, lr=0.188000, batch loss=0.192608, epoch loss=2.219269 Batch=599, step=3000, lr=0.187500, batch loss=0.227731, epoch loss=2.447001 Batch=659, step=3060, lr=0.187500, batch loss=0.338304, epoch loss=2.785305 Batch=719, step=3120, lr=0.187250, batch loss=0.332208, epoch loss=3.117513 Batch=779, step=3180, lr=0.187000, batch loss=0.353464, epoch loss=3.470977 Batch=839, step=3240, lr=0.186500, batch loss=0.323906, epoch loss=3.794883 Batch=899, step=3300, lr=0.186500, batch loss=0.298280, epoch loss=4.093163 Batch=959, step=3360, lr=0.186250, batch loss=0.234775, epoch loss=4.327938 Batch=1019, step=3420, lr=0.185750, batch loss=0.352074, epoch loss=4.680013 Batch=1079, step=3480, lr=0.185500, batch loss=0.211358, epoch loss=4.891370 Batch=1139, step=3540, lr=0.185500, batch loss=0.258727, epoch loss=5.150097 Batch=1199, step=3600, lr=0.185250, batch loss=0.200030, epoch loss=5.350128 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350128 Batch=59, step=3660, lr=0.184750, batch loss=0.224423, epoch loss=0.224423 Batch=119, step=3720, lr=0.184500, batch loss=0.187884, epoch loss=0.412308 Batch=179, step=3780, lr=0.184250, batch loss=0.212195, epoch loss=0.624502 Batch=239, step=3840, lr=0.184000, batch loss=0.316402, epoch loss=0.940904 Batch=299, step=3900, lr=0.183750, batch loss=0.205429, epoch loss=1.146333 Batch=359, step=3960, lr=0.183500, batch loss=0.279617, epoch loss=1.425950 Batch=419, step=4020, lr=0.183500, batch loss=0.271815, epoch loss=1.697765 Batch=479, step=4080, lr=0.183000, batch loss=0.245643, epoch loss=1.943408 Batch=539, step=4140, lr=0.183000, batch loss=0.197292, epoch loss=2.140700 Batch=599, step=4200, lr=0.182750, batch loss=0.240812, epoch loss=2.381512 Batch=659, step=4260, lr=0.182250, batch loss=0.328963, epoch loss=2.710475 Batch=719, step=4320, lr=0.182000, batch loss=0.326689, epoch loss=3.037164 Batch=779, step=4380, lr=0.181750, batch loss=0.352205, epoch loss=3.389369 Batch=839, step=4440, lr=0.181500, batch loss=0.317153, epoch loss=3.706522 Batch=899, step=4500, lr=0.181500, batch loss=0.285523, epoch loss=3.992045 Batch=959, step=4560, lr=0.181250, batch loss=0.238342, epoch loss=4.230386 Batch=1019, step=4620, lr=0.180750, batch loss=0.330770, epoch loss=4.561156 Batch=1079, step=4680, lr=0.180750, batch loss=0.196546, epoch loss=4.757702 Batch=1139, step=4740, lr=0.180500, batch loss=0.228508, epoch loss=4.986210 Batch=1199, step=4800, lr=0.180250, batch loss=0.195253, epoch loss=5.181463 Epoch=3, step=4800, lr=0.180250, epoch loss=5.181463 Batch=59, step=4860, lr=0.180000, batch loss=0.239409, epoch loss=0.239409 Batch=119, step=4920, lr=0.179750, batch loss=0.197679, epoch loss=0.437088 Batch=179, step=4980, lr=0.179250, batch loss=0.206404, epoch loss=0.643491 Batch=239, step=5040, lr=0.179250, batch loss=0.306920, epoch loss=0.950411 Batch=299, step=5100, lr=0.178750, batch loss=0.203308, epoch loss=1.153719 Batch=359, step=5160, lr=0.178750, batch loss=0.272904, epoch loss=1.426623 Batch=419, step=5220, lr=0.178500, batch loss=0.265399, epoch loss=1.692021 Batch=479, step=5280, lr=0.178250, batch loss=0.242330, epoch loss=1.934351 Batch=539, step=5340, lr=0.178000, batch loss=0.193840, epoch loss=2.128190 Batch=599, step=5400, lr=0.177750, batch loss=0.233870, epoch loss=2.362061 Batch=659, step=5460, lr=0.177500, batch loss=0.322854, epoch loss=2.684915 Batch=719, step=5520, lr=0.177250, batch loss=0.322552, epoch loss=3.007467 Batch=779, step=5580, lr=0.177000, batch loss=0.342550, epoch loss=3.350018 Batch=839, step=5640, lr=0.176750, batch loss=0.310675, epoch loss=3.660692 Batch=899, step=5700, lr=0.176500, batch loss=0.272346, epoch loss=3.933038 Batch=959, step=5760, lr=0.176250, batch loss=0.217356, epoch loss=4.150394 Batch=1019, step=5820, lr=0.176000, batch loss=0.333845, epoch loss=4.484240 Batch=1079, step=5880, lr=0.175750, batch loss=0.190176, epoch loss=4.674416 Batch=1139, step=5940, lr=0.175500, batch loss=0.223972, epoch loss=4.898388 Batch=1199, step=6000, lr=0.175250, batch loss=0.189615, epoch loss=5.088003 Epoch=4, step=6000, lr=0.175250, epoch loss=5.088003 Batch=59, step=6060, lr=0.174750, batch loss=0.232910, epoch loss=0.232910 Batch=119, step=6120, lr=0.174750, batch loss=0.192462, epoch loss=0.425372 Batch=179, step=6180, lr=0.174250, batch loss=0.201431, epoch loss=0.626803 Batch=239, step=6240, lr=0.174000, batch loss=0.300451, epoch loss=0.927254 Batch=299, step=6300, lr=0.174000, batch loss=0.206246, epoch loss=1.133501 Batch=359, step=6360, lr=0.173750, batch loss=0.264628, epoch loss=1.398129 Batch=419, step=6420, lr=0.173500, batch loss=0.259526, epoch loss=1.657655 Batch=479, step=6480, lr=0.173250, batch loss=0.235163, epoch loss=1.892818 Batch=539, step=6540, lr=0.173000, batch loss=0.189862, epoch loss=2.082680 Batch=599, step=6600, lr=0.172750, batch loss=0.233102, epoch loss=2.315782 Batch=659, step=6660, lr=0.172500, batch loss=0.313364, epoch loss=2.629146 Batch=719, step=6720, lr=0.172250, batch loss=0.316397, epoch loss=2.945543 Batch=779, step=6780, lr=0.172000, batch loss=0.330664, epoch loss=3.276206 Batch=839, step=6840, lr=0.171750, batch loss=0.305941, epoch loss=3.582148 Batch=899, step=6900, lr=0.171500, batch loss=0.268483, epoch loss=3.850631 Batch=959, step=6960, lr=0.171250, batch loss=0.206191, epoch loss=4.056821 Batch=1019, step=7020, lr=0.170750, batch loss=0.327745, epoch loss=4.384566 Batch=1079, step=7080, lr=0.170500, batch loss=0.183452, epoch loss=4.568017 Batch=1139, step=7140, lr=0.170250, batch loss=0.215822, epoch loss=4.783839 Batch=1199, step=7200, lr=0.170250, batch loss=0.182852, epoch loss=4.966691 Epoch=5, step=7200, lr=0.170250, epoch loss=4.966691 Batch=59, step=7260, lr=0.169750, batch loss=0.234525, epoch loss=0.234525 Batch=119, step=7320, lr=0.169500, batch loss=0.182383, epoch loss=0.416908 Batch=179, step=7380, lr=0.169250, batch loss=0.195396, epoch loss=0.612304 Batch=239, step=7440, lr=0.169250, batch loss=0.293621, epoch loss=0.905925 Batch=299, step=7500, lr=0.168750, batch loss=0.203674, epoch loss=1.109599 Batch=359, step=7560, lr=0.168750, batch loss=0.263926, epoch loss=1.373525 Batch=419, step=7620, lr=0.168500, batch loss=0.253743, epoch loss=1.627268 Batch=479, step=7680, lr=0.168250, batch loss=0.238728, epoch loss=1.865996 Batch=539, step=7740, lr=0.167750, batch loss=0.184364, epoch loss=2.050359 Batch=599, step=7800, lr=0.167750, batch loss=0.225310, epoch loss=2.275669 Batch=659, step=7860, lr=0.167250, batch loss=0.304059, epoch loss=2.579729 Batch=719, step=7920, lr=0.167000, batch loss=0.307506, epoch loss=2.887234 Batch=779, step=7980, lr=0.166750, batch loss=0.328916, epoch loss=3.216150 Batch=839, step=8040, lr=0.166750, batch loss=0.291086, epoch loss=3.507236 Batch=899, step=8100, lr=0.166500, batch loss=0.263409, epoch loss=3.770645 Batch=959, step=8160, lr=0.166250, batch loss=0.195492, epoch loss=3.966137 Batch=1019, step=8220, lr=0.166000, batch loss=0.322443, epoch loss=4.288579 Batch=1079, step=8280, lr=0.165500, batch loss=0.187843, epoch loss=4.476423 Batch=1139, step=8340, lr=0.165500, batch loss=0.213478, epoch loss=4.689900 Batch=1199, step=8400, lr=0.165000, batch loss=0.172171, epoch loss=4.862071 Epoch=6, step=8400, lr=0.165000, epoch loss=4.862071 Batch=59, step=8460, lr=0.164750, batch loss=0.209264, epoch loss=0.209264 Batch=119, step=8520, lr=0.164750, batch loss=0.172613, epoch loss=0.381877 Batch=179, step=8580, lr=0.164500, batch loss=0.187539, epoch loss=0.569416 Batch=239, step=8640, lr=0.164000, batch loss=0.275393, epoch loss=0.844809 Batch=299, step=8700, lr=0.163750, batch loss=0.184006, epoch loss=1.028814 Batch=359, step=8760, lr=0.163500, batch loss=0.244271, epoch loss=1.273085 Batch=419, step=8820, lr=0.163250, batch loss=0.237237, epoch loss=1.510322 Batch=479, step=8880, lr=0.163250, batch loss=0.213253, epoch loss=1.723575 Batch=539, step=8940, lr=0.162750, batch loss=0.176418, epoch loss=1.899992 Batch=599, step=9000, lr=0.162500, batch loss=0.218346, epoch loss=2.118338 Batch=659, step=9060, lr=0.162250, batch loss=0.292736, epoch loss=2.411074 Batch=719, step=9120, lr=0.162000, batch loss=0.294822, epoch loss=2.705896 Batch=779, step=9180, lr=0.162000, batch loss=0.313387, epoch loss=3.019283 Batch=839, step=9240, lr=0.161750, batch loss=0.286621, epoch loss=3.305904 Batch=899, step=9300, lr=0.161500, batch loss=0.250018, epoch loss=3.555922 Batch=959, step=9360, lr=0.161000, batch loss=0.190672, epoch loss=3.746594 Batch=1019, step=9420, lr=0.160750, batch loss=0.314149, epoch loss=4.060743 Batch=1079, step=9480, lr=0.160750, batch loss=0.189507, epoch loss=4.250251 Batch=1139, step=9540, lr=0.160250, batch loss=0.210662, epoch loss=4.460912 Batch=1199, step=9600, lr=0.160000, batch loss=0.165852, epoch loss=4.626764 Epoch=7, step=9600, lr=0.160000, epoch loss=4.626764 Batch=59, step=9660, lr=0.160000, batch loss=0.198988, epoch loss=0.198988 Batch=119, step=9720, lr=0.159750, batch loss=0.162632, epoch loss=0.361620 Batch=179, step=9780, lr=0.159500, batch loss=0.177438, epoch loss=0.539058 Batch=239, step=9840, lr=0.159250, batch loss=0.258293, epoch loss=0.797351 Batch=299, step=9900, lr=0.159000, batch loss=0.179065, epoch loss=0.976416 Batch=359, step=9960, lr=0.158750, batch loss=0.244148, epoch loss=1.220563 Batch=419, step=10020, lr=0.158500, batch loss=0.241536, epoch loss=1.462100 Batch=479, step=10080, lr=0.158000, batch loss=0.221633, epoch loss=1.683733 Batch=539, step=10140, lr=0.157750, batch loss=0.175696, epoch loss=1.859429 Batch=599, step=10200, lr=0.157750, batch loss=0.197661, epoch loss=2.057090 Batch=659, step=10260, lr=0.157500, batch loss=0.280422, epoch loss=2.337513 Batch=719, step=10320, lr=0.157250, batch loss=0.278021, epoch loss=2.615533 Batch=779, step=10380, lr=0.156750, batch loss=0.292805, epoch loss=2.908338 Batch=839, step=10440, lr=0.156750, batch loss=0.267980, epoch loss=3.176319 Batch=899, step=10500, lr=0.156500, batch loss=0.236955, epoch loss=3.413274 Batch=959, step=10560, lr=0.156250, batch loss=0.174321, epoch loss=3.587596 Batch=1019, step=10620, lr=0.155750, batch loss=0.298843, epoch loss=3.886438 Batch=1079, step=10680, lr=0.155750, batch loss=0.175404, epoch loss=4.061842 Batch=1139, step=10740, lr=0.155500, batch loss=0.200767, epoch loss=4.262610 Batch=1199, step=10800, lr=0.155250, batch loss=0.154982, epoch loss=4.417592 Epoch=8, step=10800, lr=0.155250, epoch loss=4.417592 Batch=59, step=10860, lr=0.154750, batch loss=0.177428, epoch loss=0.177428 Batch=119, step=10920, lr=0.154750, batch loss=0.150826, epoch loss=0.328255 Batch=179, step=10980, lr=0.154250, batch loss=0.165250, epoch loss=0.493505 Batch=239, step=11040, lr=0.154000, batch loss=0.245032, epoch loss=0.738537 Batch=299, step=11100, lr=0.153750, batch loss=0.159021, epoch loss=0.897557 Batch=359, step=11160, lr=0.153500, batch loss=0.210325, epoch loss=1.107883 Batch=419, step=11220, lr=0.153500, batch loss=0.204166, epoch loss=1.312049 Batch=479, step=11280, lr=0.153250, batch loss=0.181060, epoch loss=1.493109 Batch=539, step=11340, lr=0.152750, batch loss=0.145430, epoch loss=1.638539 Batch=599, step=11400, lr=0.152750, batch loss=0.170773, epoch loss=1.809312 Batch=659, step=11460, lr=0.152250, batch loss=0.243383, epoch loss=2.052695 Batch=719, step=11520, lr=0.152250, batch loss=0.242370, epoch loss=2.295064 Batch=779, step=11580, lr=0.151750, batch loss=0.266424, epoch loss=2.561488 Batch=839, step=11640, lr=0.151500, batch loss=0.247316, epoch loss=2.808804 Batch=899, step=11700, lr=0.151250, batch loss=0.215563, epoch loss=3.024367 Batch=959, step=11760, lr=0.151250, batch loss=0.162856, epoch loss=3.187223 Batch=1019, step=11820, lr=0.150750, batch loss=0.270418, epoch loss=3.457641 Batch=1079, step=11880, lr=0.150500, batch loss=0.153973, epoch loss=3.611614 Batch=1139, step=11940, lr=0.150500, batch loss=0.194029, epoch loss=3.805643 Batch=1199, step=12000, lr=0.150000, batch loss=0.138978, epoch loss=3.944621 Epoch=9, step=12000, lr=0.150000, epoch loss=3.944621 Batch=59, step=12060, lr=0.149750, batch loss=0.156564, epoch loss=0.156564 Batch=119, step=12120, lr=0.149750, batch loss=0.126488, epoch loss=0.283052 Batch=179, step=12180, lr=0.149250, batch loss=0.147986, epoch loss=0.431038 Batch=239, step=12240, lr=0.149000, batch loss=0.215726, epoch loss=0.646764 Batch=299, step=12300, lr=0.148750, batch loss=0.139266, epoch loss=0.786030 Batch=359, step=12360, lr=0.148500, batch loss=0.194143, epoch loss=0.980173 Batch=419, step=12420, lr=0.148250, batch loss=0.213343, epoch loss=1.193516 Batch=479, step=12480, lr=0.148250, batch loss=0.171263, epoch loss=1.364779 Batch=539, step=12540, lr=0.148000, batch loss=0.145751, epoch loss=1.510530 Batch=599, step=12600, lr=0.147500, batch loss=0.151333, epoch loss=1.661863 Batch=659, step=12660, lr=0.147500, batch loss=0.232933, epoch loss=1.894795 Batch=719, step=12720, lr=0.147000, batch loss=0.229590, epoch loss=2.124386 Batch=779, step=12780, lr=0.146750, batch loss=0.261298, epoch loss=2.385684 Batch=839, step=12840, lr=0.146500, batch loss=0.227964, epoch loss=2.613648 Batch=899, step=12900, lr=0.146250, batch loss=0.197162, epoch loss=2.810811 Batch=959, step=12960, lr=0.146000, batch loss=0.148897, epoch loss=2.959708 Batch=1019, step=13020, lr=0.146000, batch loss=0.260520, epoch loss=3.220228 Batch=1079, step=13080, lr=0.145500, batch loss=0.112766, epoch loss=3.332995 Batch=1139, step=13140, lr=0.145250, batch loss=0.154717, epoch loss=3.487712 Batch=1199, step=13200, lr=0.145000, batch loss=0.116503, epoch loss=3.604215 Epoch=10, step=13200, lr=0.145000, epoch loss=3.604215 Batch=59, step=13260, lr=0.144750, batch loss=0.139659, epoch loss=0.139659 Batch=119, step=13320, lr=0.144500, batch loss=0.118649, epoch loss=0.258308 Batch=179, step=13380, lr=0.144250, batch loss=0.125234, epoch loss=0.383542 Batch=239, step=13440, lr=0.144250, batch loss=0.188818, epoch loss=0.572361 Batch=299, step=13500, lr=0.143750, batch loss=0.114189, epoch loss=0.686549 Batch=359, step=13560, lr=0.143750, batch loss=0.155085, epoch loss=0.841634 Batch=419, step=13620, lr=0.143500, batch loss=0.152554, epoch loss=0.994188 Batch=479, step=13680, lr=0.143000, batch loss=0.138807, epoch loss=1.132995 Batch=539, step=13740, lr=0.142750, batch loss=0.117978, epoch loss=1.250973 Batch=599, step=13800, lr=0.142750, batch loss=0.116875, epoch loss=1.367847 Batch=659, step=13860, lr=0.142250, batch loss=0.171920, epoch loss=1.539767 Batch=719, step=13920, lr=0.142000, batch loss=0.167229, epoch loss=1.706997 Batch=779, step=13980, lr=0.142000, batch loss=0.176632, epoch loss=1.883629 Batch=839, step=14040, lr=0.141750, batch loss=0.197578, epoch loss=2.081207 Batch=899, step=14100, lr=0.141250, batch loss=0.213140, epoch loss=2.294347 Batch=959, step=14160, lr=0.141000, batch loss=0.109951, epoch loss=2.404297 Batch=1019, step=14220, lr=0.140750, batch loss=0.193941, epoch loss=2.598239 Batch=1079, step=14280, lr=0.140500, batch loss=0.078535, epoch loss=2.676774 Batch=1139, step=14340, lr=0.140500, batch loss=0.129386, epoch loss=2.806160 Batch=1199, step=14400, lr=0.140000, batch loss=0.084195, epoch loss=2.890355 Epoch=11, step=14400, lr=0.140000, epoch loss=2.890355 Batch=59, step=14460, lr=0.140000, batch loss=0.099964, epoch loss=0.099964 Batch=119, step=14520, lr=0.139500, batch loss=0.096825, epoch loss=0.196790 Batch=179, step=14580, lr=0.139250, batch loss=0.097610, epoch loss=0.294399 Batch=239, step=14640, lr=0.139000, batch loss=0.136759, epoch loss=0.431158 Batch=299, step=14700, lr=0.138750, batch loss=0.072303, epoch loss=0.503461 Batch=359, step=14760, lr=0.138500, batch loss=0.117853, epoch loss=0.621314 Batch=419, step=14820, lr=0.138500, batch loss=0.130438, epoch loss=0.751752 Batch=479, step=14880, lr=0.138250, batch loss=0.093944, epoch loss=0.845696 Batch=539, step=14940, lr=0.138000, batch loss=0.100670, epoch loss=0.946366 Batch=599, step=15000, lr=0.137500, batch loss=0.080406, epoch loss=1.026772 Batch=659, step=15060, lr=0.137250, batch loss=0.124557, epoch loss=1.151329 Batch=719, step=15120, lr=0.137000, batch loss=0.168143, epoch loss=1.319472 Batch=779, step=15180, lr=0.137000, batch loss=0.344223, epoch loss=1.663695 Batch=839, step=15240, lr=0.136500, batch loss=0.126786, epoch loss=1.790481 Batch=899, step=15300, lr=0.136250, batch loss=0.110492, epoch loss=1.900973 Batch=959, step=15360, lr=0.136000, batch loss=0.091256, epoch loss=1.992229 Batch=1019, step=15420, lr=0.136000, batch loss=0.152608, epoch loss=2.144837 Batch=1079, step=15480, lr=0.135500, batch loss=0.048252, epoch loss=2.193089 Batch=1139, step=15540, lr=0.135500, batch loss=0.105424, epoch loss=2.298514 Batch=1199, step=15600, lr=0.135000, batch loss=0.059325, epoch loss=2.357839 Epoch=12, step=15600, lr=0.135000, epoch loss=2.357839 Batch=59, step=15660, lr=0.134750, batch loss=0.073536, epoch loss=0.073536 Batch=119, step=15720, lr=0.134500, batch loss=0.118952, epoch loss=0.192489 Batch=179, step=15780, lr=0.134250, batch loss=0.089686, epoch loss=0.282174 Batch=239, step=15840, lr=0.134000, batch loss=0.092156, epoch loss=0.374331 Batch=299, step=15900, lr=0.133750, batch loss=0.037228, epoch loss=0.411559 Batch=359, step=15960, lr=0.133500, batch loss=0.081808, epoch loss=0.493367 Batch=419, step=16020, lr=0.133250, batch loss=0.074622, epoch loss=0.567988 Batch=479, step=16080, lr=0.133000, batch loss=0.050412, epoch loss=0.618400 Batch=539, step=16140, lr=0.132750, batch loss=0.072525, epoch loss=0.690926 Batch=599, step=16200, lr=0.132750, batch loss=0.173041, epoch loss=0.863967 Batch=659, step=16260, lr=0.132250, batch loss=0.095698, epoch loss=0.959665 Batch=719, step=16320, lr=0.132000, batch loss=0.112985, epoch loss=1.072650 Batch=779, step=16380, lr=0.131750, batch loss=0.262659, epoch loss=1.335309 Batch=839, step=16440, lr=0.131500, batch loss=0.087427, epoch loss=1.422736 Batch=899, step=16500, lr=0.131250, batch loss=0.074162, epoch loss=1.496899 Batch=959, step=16560, lr=0.131250, batch loss=0.030030, epoch loss=1.526929 Batch=1019, step=16620, lr=0.130750, batch loss=0.053856, epoch loss=1.580785 Batch=1079, step=16680, lr=0.130500, batch loss=0.062925, epoch loss=1.643710 Batch=1139, step=16740, lr=0.130250, batch loss=0.123298, epoch loss=1.767007 Batch=1199, step=16800, lr=0.130000, batch loss=0.051270, epoch loss=1.818278 Epoch=13, step=16800, lr=0.130000, epoch loss=1.818278 Batch=59, step=16860, lr=0.129750, batch loss=0.033071, epoch loss=0.033071 Batch=119, step=16920, lr=0.129750, batch loss=0.032922, epoch loss=0.065993 Batch=179, step=16980, lr=0.129500, batch loss=0.043028, epoch loss=0.109021 Batch=239, step=17040, lr=0.129000, batch loss=0.057602, epoch loss=0.166623 Batch=299, step=17100, lr=0.128750, batch loss=0.018127, epoch loss=0.184749 Batch=359, step=17160, lr=0.128500, batch loss=0.042183, epoch loss=0.226932 Batch=419, step=17220, lr=0.128500, batch loss=0.044961, epoch loss=0.271893 Batch=479, step=17280, lr=0.128000, batch loss=0.035065, epoch loss=0.306958 Batch=539, step=17340, lr=0.127750, batch loss=0.056120, epoch loss=0.363078 Batch=599, step=17400, lr=0.127500, batch loss=0.033458, epoch loss=0.396536 Batch=659, step=17460, lr=0.127250, batch loss=0.045247, epoch loss=0.441782 Batch=719, step=17520, lr=0.127000, batch loss=0.056148, epoch loss=0.497930 Batch=779, step=17580, lr=0.126750, batch loss=0.119704, epoch loss=0.617634 Batch=839, step=17640, lr=0.126500, batch loss=0.083583, epoch loss=0.701217 Batch=899, step=17700, lr=0.126500, batch loss=0.107941, epoch loss=0.809158 Batch=959, step=17760, lr=0.126000, batch loss=0.023677, epoch loss=0.832835 Batch=1019, step=17820, lr=0.125750, batch loss=0.038236, epoch loss=0.871070 Batch=1079, step=17880, lr=0.125500, batch loss=0.013254, epoch loss=0.884324 Batch=1139, step=17940, lr=0.125250, batch loss=0.034311, epoch loss=0.918635 Batch=1199, step=18000, lr=0.125250, batch loss=0.014571, epoch loss=0.933206 Epoch=14, step=18000, lr=0.125250, epoch loss=0.933206 Batch=59, step=18060, lr=0.125000, batch loss=0.012032, epoch loss=0.012032 Batch=119, step=18120, lr=0.124750, batch loss=0.034287, epoch loss=0.046319 Batch=179, step=18180, lr=0.124250, batch loss=0.101538, epoch loss=0.147857 Batch=239, step=18240, lr=0.124000, batch loss=0.050739, epoch loss=0.198596 Batch=299, step=18300, lr=0.123750, batch loss=0.016390, epoch loss=0.214986 Batch=359, step=18360, lr=0.123500, batch loss=0.042856, epoch loss=0.257842 Batch=419, step=18420, lr=0.123250, batch loss=0.032335, epoch loss=0.290177 Batch=479, step=18480, lr=0.123000, batch loss=0.015729, epoch loss=0.305906 Batch=539, step=18540, lr=0.122750, batch loss=0.021578, epoch loss=0.327485 Batch=599, step=18600, lr=0.122500, batch loss=0.024677, epoch loss=0.352162 Batch=659, step=18660, lr=0.122500, batch loss=0.029119, epoch loss=0.381281 Batch=719, step=18720, lr=0.122000, batch loss=0.023780, epoch loss=0.405061 Batch=779, step=18780, lr=0.121750, batch loss=0.047289, epoch loss=0.452350 Batch=839, step=18840, lr=0.121750, batch loss=0.051603, epoch loss=0.503953 Batch=899, step=18900, lr=0.121250, batch loss=0.054186, epoch loss=0.558139 Batch=959, step=18960, lr=0.121250, batch loss=0.015757, epoch loss=0.573897 Batch=1019, step=19020, lr=0.120750, batch loss=0.026394, epoch loss=0.600290 Batch=1079, step=19080, lr=0.120500, batch loss=0.008286, epoch loss=0.608576 Batch=1139, step=19140, lr=0.120500, batch loss=0.023009, epoch loss=0.631585 Batch=1199, step=19200, lr=0.120250, batch loss=0.009716, epoch loss=0.641301 Epoch=15, step=19200, lr=0.120250, epoch loss=0.641301 Batch=59, step=19260, lr=0.119750, batch loss=0.004863, epoch loss=0.004863 Batch=119, step=19320, lr=0.119500, batch loss=0.018206, epoch loss=0.023069 Batch=179, step=19380, lr=0.119500, batch loss=0.045876, epoch loss=0.068944 Batch=239, step=19440, lr=0.119000, batch loss=0.019750, epoch loss=0.088694 Batch=299, step=19500, lr=0.118750, batch loss=0.010339, epoch loss=0.099033 Batch=359, step=19560, lr=0.118750, batch loss=0.023629, epoch loss=0.122662 Batch=419, step=19620, lr=0.118250, batch loss=0.018570, epoch loss=0.141232 Batch=479, step=19680, lr=0.118250, batch loss=0.009541, epoch loss=0.150773 Batch=539, step=19740, lr=0.117750, batch loss=0.019674, epoch loss=0.170447 Batch=599, step=19800, lr=0.117500, batch loss=0.020833, epoch loss=0.191281 Batch=659, step=19860, lr=0.117500, batch loss=0.019615, epoch loss=0.210896 Batch=719, step=19920, lr=0.117250, batch loss=0.020926, epoch loss=0.231822 Batch=779, step=19980, lr=0.117000, batch loss=0.037060, epoch loss=0.268882 Batch=839, step=20040, lr=0.116750, batch loss=0.031085, epoch loss=0.299967 Batch=899, step=20100, lr=0.116250, batch loss=0.026889, epoch loss=0.326856 Batch=959, step=20160, lr=0.116000, batch loss=0.015780, epoch loss=0.342636 Batch=1019, step=20220, lr=0.115750, batch loss=0.021674, epoch loss=0.364310 Batch=1079, step=20280, lr=0.115500, batch loss=0.004839, epoch loss=0.369149 Batch=1139, step=20340, lr=0.115500, batch loss=0.013347, epoch loss=0.382496 Batch=1199, step=20400, lr=0.115000, batch loss=0.005857, epoch loss=0.388353 Epoch=16, step=20400, lr=0.115000, epoch loss=0.388353 Batch=59, step=20460, lr=0.114750, batch loss=0.002902, epoch loss=0.002902 Batch=119, step=20520, lr=0.114750, batch loss=0.008083, epoch loss=0.010985 Batch=179, step=20580, lr=0.114500, batch loss=0.014751, epoch loss=0.025736 Batch=239, step=20640, lr=0.114000, batch loss=0.012274, epoch loss=0.038010 Batch=299, step=20700, lr=0.113750, batch loss=0.005051, epoch loss=0.043061 Batch=359, step=20760, lr=0.113500, batch loss=0.014185, epoch loss=0.057247 Batch=419, step=20820, lr=0.113250, batch loss=0.015247, epoch loss=0.072493 Batch=479, step=20880, lr=0.113000, batch loss=0.004984, epoch loss=0.077477 Batch=539, step=20940, lr=0.113000, batch loss=0.015921, epoch loss=0.093398 Batch=599, step=21000, lr=0.112500, batch loss=0.018804, epoch loss=0.112202 Batch=659, step=21060, lr=0.112500, batch loss=0.015633, epoch loss=0.127835 Batch=719, step=21120, lr=0.112000, batch loss=0.037258, epoch loss=0.165093 Batch=779, step=21180, lr=0.111750, batch loss=0.074635, epoch loss=0.239728 Batch=839, step=21240, lr=0.111750, batch loss=0.025334, epoch loss=0.265062 Batch=899, step=21300, lr=0.111250, batch loss=0.036249, epoch loss=0.301311 Batch=959, step=21360, lr=0.111000, batch loss=0.010432, epoch loss=0.311743 Batch=1019, step=21420, lr=0.110750, batch loss=0.010417, epoch loss=0.322159 Batch=1079, step=21480, lr=0.110500, batch loss=0.001098, epoch loss=0.323258 Batch=1139, step=21540, lr=0.110500, batch loss=0.012908, epoch loss=0.336166 Batch=1199, step=21600, lr=0.110000, batch loss=0.005074, epoch loss=0.341239 Epoch=17, step=21600, lr=0.110000, epoch loss=0.341239 Batch=59, step=21660, lr=0.110000, batch loss=0.001977, epoch loss=0.001977 Batch=119, step=21720, lr=0.109500, batch loss=0.006384, epoch loss=0.008361 Batch=179, step=21780, lr=0.109250, batch loss=0.012717, epoch loss=0.021078 Batch=239, step=21840, lr=0.109000, batch loss=0.009402, epoch loss=0.030480 Batch=299, step=21900, lr=0.108750, batch loss=0.003421, epoch loss=0.033901 Batch=359, step=21960, lr=0.108500, batch loss=0.014522, epoch loss=0.048423 Batch=419, step=22020, lr=0.108250, batch loss=0.011878, epoch loss=0.060301 Batch=479, step=22080, lr=0.108000, batch loss=0.003018, epoch loss=0.063319 Batch=539, step=22140, lr=0.108000, batch loss=0.017411, epoch loss=0.080730 Batch=599, step=22200, lr=0.107500, batch loss=0.016818, epoch loss=0.097548 Batch=659, step=22260, lr=0.107250, batch loss=0.014371, epoch loss=0.111919 Batch=719, step=22320, lr=0.107000, batch loss=0.025932, epoch loss=0.137851 Batch=779, step=22380, lr=0.106750, batch loss=0.042790, epoch loss=0.180641 Batch=839, step=22440, lr=0.106500, batch loss=0.021423, epoch loss=0.202064 Batch=899, step=22500, lr=0.106500, batch loss=0.021982, epoch loss=0.224046 Batch=959, step=22560, lr=0.106250, batch loss=0.010891, epoch loss=0.234937 Batch=1019, step=22620, lr=0.106000, batch loss=0.009143, epoch loss=0.244079 Batch=1079, step=22680, lr=0.105750, batch loss=0.000070, epoch loss=0.244150 Batch=1139, step=22740, lr=0.105500, batch loss=0.009972, epoch loss=0.254122 Batch=1199, step=22800, lr=0.105000, batch loss=0.004631, epoch loss=0.258753 Epoch=18, step=22800, lr=0.105000, epoch loss=0.258753 Batch=59, step=22860, lr=0.104750, batch loss=0.001882, epoch loss=0.001882 Batch=119, step=22920, lr=0.104750, batch loss=0.005420, epoch loss=0.007302 Batch=179, step=22980, lr=0.104250, batch loss=0.010489, epoch loss=0.017791 Batch=239, step=23040, lr=0.104250, batch loss=0.009588, epoch loss=0.027379 Batch=299, step=23100, lr=0.103750, batch loss=0.008444, epoch loss=0.035823 Batch=359, step=23160, lr=0.103500, batch loss=0.012606, epoch loss=0.048429 Batch=419, step=23220, lr=0.103250, batch loss=0.010549, epoch loss=0.058979 Batch=479, step=23280, lr=0.103250, batch loss=0.002811, epoch loss=0.061790 Batch=539, step=23340, lr=0.102750, batch loss=0.016949, epoch loss=0.078739 Batch=599, step=23400, lr=0.102500, batch loss=0.013759, epoch loss=0.092498 Batch=659, step=23460, lr=0.102500, batch loss=0.010465, epoch loss=0.102964 Batch=719, step=23520, lr=0.102000, batch loss=0.013263, epoch loss=0.116226 Batch=779, step=23580, lr=0.102000, batch loss=0.022324, epoch loss=0.138550 Batch=839, step=23640, lr=0.101500, batch loss=0.027903, epoch loss=0.166453 Batch=899, step=23700, lr=0.101250, batch loss=0.021162, epoch loss=0.187615 Batch=959, step=23760, lr=0.101250, batch loss=0.009824, epoch loss=0.197439 Batch=1019, step=23820, lr=0.100750, batch loss=0.007193, epoch loss=0.204633 Batch=1079, step=23880, lr=0.100750, batch loss=0.000997, epoch loss=0.205630 Batch=1139, step=23940, lr=0.100250, batch loss=0.008613, epoch loss=0.214244 Batch=1199, step=24000, lr=0.100000, batch loss=0.004579, epoch loss=0.218822 Epoch=19, step=24000, lr=0.100000, epoch loss=0.218822 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:31.48 ---> saved as "e42bfe60392dadfb52ef8d3bd580a4bea5d5221cd3b9f41d8391c252b2912613" Job succeeded 2025-03-20 22:31.49: Job succeeded