2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 22:51.40: 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 22:51.40: 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 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:51.40: Got resource from pool OCluster Building on orithia.caelum.ci.dev 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 HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (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 22:51.41 ---> 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 22:51.41 ---> 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 22:51.41 ---> 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 22:51.41 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:51.41 ---> 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 22:51.41 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:51.41 ---> using "93903239a2543bd20dc18927cc0a4700513f22d2108f3ef0eedee7d2bc6bb6c8" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:51.41 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:51.41 ---> using "f7f08e76359f535d1ca6a8f37927ce04b2434ecd1c5e1e6ef7fb900fe2813f98" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [235 kB] - Fetched 9119 kB in 2s (5585 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:ppc64el. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18718 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-03-20 22:51.41 ---> using "7f56bc83e52c7303e6b0b613be6c58b926d6986fb422146f4e92f22b56e295da" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:51.41 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:51.45 ---> saved as "62db7e12030a82334165e5716d52d5b337ecf39fabc98f295cb536e891837838" /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/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/f422ce9893bdde34b3d9a4e022564504/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3857a66f7e60f1ce97806ee7ab567c45/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/3857a66f7e60f1ce97806ee7ab567c45/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.198750, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198750, batch loss=1.327597, epoch loss=38.399812 Batch=419, step=420, lr=0.198250, batch loss=0.619847, epoch loss=39.019658 Batch=479, step=480, lr=0.198250, batch loss=0.820032, epoch loss=39.839690 Batch=539, step=540, lr=0.197750, batch loss=0.694135, epoch loss=40.533825 Batch=599, step=600, lr=0.197500, batch loss=1.059898, epoch loss=41.593723 Batch=659, step=660, lr=0.197250, batch loss=0.483956, epoch loss=42.077679 Batch=719, step=720, lr=0.197000, batch loss=0.411472, epoch loss=42.489151 Batch=779, step=780, lr=0.196750, batch loss=0.469978, epoch loss=42.959129 Batch=839, step=840, lr=0.196500, batch loss=0.444050, epoch loss=43.403179 Batch=899, step=900, lr=0.196250, batch loss=0.383502, epoch loss=43.786682 Batch=959, step=960, lr=0.196000, batch loss=0.242312, epoch loss=44.028994 Batch=1019, step=1020, lr=0.196000, batch loss=0.456777, epoch loss=44.485771 Batch=1079, step=1080, lr=0.195500, batch loss=0.252769, epoch loss=44.738540 Batch=1139, step=1140, lr=0.195250, batch loss=0.328536, epoch loss=45.067076 Batch=1199, step=1200, lr=0.195000, batch loss=0.264464, epoch loss=45.331540 Epoch=0, step=1200, lr=0.195000, epoch loss=45.331540 Batch=59, step=1260, lr=0.195000, batch loss=0.262955, epoch loss=0.262955 Batch=119, step=1320, lr=0.194500, batch loss=0.204065, epoch loss=0.467020 Batch=179, step=1380, lr=0.194500, batch loss=0.244215, epoch loss=0.711235 Batch=239, step=1440, lr=0.194250, batch loss=0.347315, epoch loss=1.058549 Batch=299, step=1500, lr=0.194000, batch loss=0.237965, epoch loss=1.296514 Batch=359, step=1560, lr=0.193500, batch loss=0.311252, epoch loss=1.607767 Batch=419, step=1620, lr=0.193250, batch loss=0.309599, epoch loss=1.917366 Batch=479, step=1680, lr=0.193000, batch loss=0.275781, epoch loss=2.193147 Batch=539, step=1740, lr=0.193000, batch loss=0.210474, epoch loss=2.403621 Batch=599, step=1800, lr=0.192500, batch loss=0.252003, epoch loss=2.655624 Batch=659, step=1860, lr=0.192500, batch loss=0.368792, epoch loss=3.024416 Batch=719, step=1920, lr=0.192250, batch loss=0.364978, epoch loss=3.389395 Batch=779, step=1980, lr=0.191750, batch loss=0.382290, epoch loss=3.771685 Batch=839, step=2040, lr=0.191750, batch loss=0.342254, epoch loss=4.113939 Batch=899, step=2100, lr=0.191500, batch loss=0.307206, epoch loss=4.421145 Batch=959, step=2160, lr=0.191000, batch loss=0.226948, epoch loss=4.648093 Batch=1019, step=2220, lr=0.190750, batch loss=0.318921, epoch loss=4.967014 Batch=1079, step=2280, lr=0.190750, batch loss=0.187238, epoch loss=5.154253 Batch=1139, step=2340, lr=0.190250, batch loss=0.252778, epoch loss=5.407031 Batch=1199, step=2400, lr=0.190250, batch loss=0.210924, epoch loss=5.617955 Epoch=1, step=2400, lr=0.190250, epoch loss=5.617955 Batch=59, step=2460, lr=0.190000, batch loss=0.226095, epoch loss=0.226095 Batch=119, step=2520, lr=0.189500, batch loss=0.185394, epoch loss=0.411489 Batch=179, step=2580, lr=0.189250, batch loss=0.217087, epoch loss=0.628577 Batch=239, step=2640, lr=0.189250, batch loss=0.328926, epoch loss=0.957503 Batch=299, step=2700, lr=0.189000, batch loss=0.214550, epoch loss=1.172053 Batch=359, step=2760, lr=0.188500, batch loss=0.293009, epoch loss=1.465061 Batch=419, step=2820, lr=0.188250, batch loss=0.283972, epoch loss=1.749033 Batch=479, step=2880, lr=0.188250, batch loss=0.261300, epoch loss=2.010333 Batch=539, step=2940, lr=0.188000, batch loss=0.201311, epoch loss=2.211644 Batch=599, step=3000, lr=0.187500, batch loss=0.244958, epoch loss=2.456602 Batch=659, step=3060, lr=0.187250, batch loss=0.344873, epoch loss=2.801476 Batch=719, step=3120, lr=0.187250, batch loss=0.346669, epoch loss=3.148145 Batch=779, step=3180, lr=0.186750, batch loss=0.364185, epoch loss=3.512330 Batch=839, step=3240, lr=0.186750, batch loss=0.323953, epoch loss=3.836283 Batch=899, step=3300, lr=0.186250, batch loss=0.296914, epoch loss=4.133197 Batch=959, step=3360, lr=0.186000, batch loss=0.242973, epoch loss=4.376169 Batch=1019, step=3420, lr=0.185750, batch loss=0.370758, epoch loss=4.746927 Batch=1079, step=3480, lr=0.185500, batch loss=0.231155, epoch loss=4.978083 Batch=1139, step=3540, lr=0.185500, batch loss=0.260559, epoch loss=5.238642 Batch=1199, step=3600, lr=0.185250, batch loss=0.201396, epoch loss=5.440038 Epoch=2, step=3600, lr=0.185250, epoch loss=5.440038 Batch=59, step=3660, lr=0.185000, batch loss=0.223047, epoch loss=0.223047 Batch=119, step=3720, lr=0.184500, batch loss=0.184466, epoch loss=0.407514 Batch=179, step=3780, lr=0.184250, batch loss=0.212027, epoch loss=0.619541 Batch=239, step=3840, lr=0.184250, batch loss=0.315873, epoch loss=0.935414 Batch=299, step=3900, lr=0.184000, batch loss=0.206215, epoch loss=1.141629 Batch=359, step=3960, lr=0.183750, batch loss=0.286987, epoch loss=1.428616 Batch=419, step=4020, lr=0.183500, batch loss=0.274181, epoch loss=1.702797 Batch=479, step=4080, lr=0.183250, batch loss=0.252656, epoch loss=1.955454 Batch=539, step=4140, lr=0.183000, batch loss=0.195589, epoch loss=2.151042 Batch=599, step=4200, lr=0.182750, batch loss=0.241018, epoch loss=2.392060 Batch=659, step=4260, lr=0.182250, batch loss=0.328530, epoch loss=2.720590 Batch=719, step=4320, lr=0.182250, batch loss=0.328921, epoch loss=3.049511 Batch=779, step=4380, lr=0.181750, batch loss=0.351840, epoch loss=3.401351 Batch=839, step=4440, lr=0.181500, batch loss=0.318480, epoch loss=3.719831 Batch=899, step=4500, lr=0.181500, batch loss=0.292910, epoch loss=4.012740 Batch=959, step=4560, lr=0.181250, batch loss=0.242439, epoch loss=4.255179 Batch=1019, step=4620, lr=0.180750, batch loss=0.342444, epoch loss=4.597623 Batch=1079, step=4680, lr=0.180750, batch loss=0.217782, epoch loss=4.815406 Batch=1139, step=4740, lr=0.180500, batch loss=0.248299, epoch loss=5.063705 Batch=1199, step=4800, lr=0.180250, batch loss=0.191449, epoch loss=5.255154 Epoch=3, step=4800, lr=0.180250, epoch loss=5.255154 Batch=59, step=4860, lr=0.179750, batch loss=0.228673, epoch loss=0.228673 Batch=119, step=4920, lr=0.179750, batch loss=0.189243, epoch loss=0.417917 Batch=179, step=4980, lr=0.179500, batch loss=0.207018, epoch loss=0.624934 Batch=239, step=5040, lr=0.179250, batch loss=0.309865, epoch loss=0.934800 Batch=299, step=5100, lr=0.179000, batch loss=0.204347, epoch loss=1.139147 Batch=359, step=5160, lr=0.178750, batch loss=0.271885, epoch loss=1.411032 Batch=419, step=5220, lr=0.178500, batch loss=0.264676, epoch loss=1.675708 Batch=479, step=5280, lr=0.178250, batch loss=0.240324, epoch loss=1.916032 Batch=539, step=5340, lr=0.177750, batch loss=0.189771, epoch loss=2.105803 Batch=599, step=5400, lr=0.177750, batch loss=0.231228, epoch loss=2.337031 Batch=659, step=5460, lr=0.177500, batch loss=0.324062, epoch loss=2.661092 Batch=719, step=5520, lr=0.177000, batch loss=0.326849, epoch loss=2.987942 Batch=779, step=5580, lr=0.176750, batch loss=0.343988, epoch loss=3.331930 Batch=839, step=5640, lr=0.176500, batch loss=0.309498, epoch loss=3.641428 Batch=899, step=5700, lr=0.176500, batch loss=0.271789, epoch loss=3.913216 Batch=959, step=5760, lr=0.176250, batch loss=0.216279, epoch loss=4.129495 Batch=1019, step=5820, lr=0.176000, batch loss=0.337746, epoch loss=4.467241 Batch=1079, step=5880, lr=0.175750, batch loss=0.204286, epoch loss=4.671527 Batch=1139, step=5940, lr=0.175500, batch loss=0.239921, epoch loss=4.911448 Batch=1199, step=6000, lr=0.175250, batch loss=0.187912, epoch loss=5.099359 Epoch=4, step=6000, lr=0.175250, epoch loss=5.099359 Batch=59, step=6060, lr=0.175000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=6120, lr=0.174750, batch loss=0.187592, epoch loss=0.417318 Batch=179, step=6180, lr=0.174250, batch loss=0.201989, epoch loss=0.619306 Batch=239, step=6240, lr=0.174250, batch loss=0.302111, epoch loss=0.921417 Batch=299, step=6300, lr=0.174000, batch loss=0.212663, epoch loss=1.134081 Batch=359, step=6360, lr=0.173500, batch loss=0.272129, epoch loss=1.406210 Batch=419, step=6420, lr=0.173500, batch loss=0.267343, epoch loss=1.673553 Batch=479, step=6480, lr=0.173250, batch loss=0.241679, epoch loss=1.915232 Batch=539, step=6540, lr=0.173000, batch loss=0.195319, epoch loss=2.110552 Batch=599, step=6600, lr=0.172750, batch loss=0.232853, epoch loss=2.343404 Batch=659, step=6660, lr=0.172500, batch loss=0.314212, epoch loss=2.657617 Batch=719, step=6720, lr=0.172250, batch loss=0.319761, epoch loss=2.977377 Batch=779, step=6780, lr=0.172000, batch loss=0.340641, epoch loss=3.318018 Batch=839, step=6840, lr=0.171500, batch loss=0.300321, epoch loss=3.618339 Batch=899, step=6900, lr=0.171250, batch loss=0.263104, epoch loss=3.881442 Batch=959, step=6960, lr=0.171250, batch loss=0.200478, epoch loss=4.081921 Batch=1019, step=7020, lr=0.170750, batch loss=0.290314, epoch loss=4.372235 Batch=1079, step=7080, lr=0.170750, batch loss=0.176165, epoch loss=4.548399 Batch=1139, step=7140, lr=0.170500, batch loss=0.215502, epoch loss=4.763901 Batch=1199, step=7200, lr=0.170000, batch loss=0.181127, epoch loss=4.945028 Epoch=5, step=7200, lr=0.170000, epoch loss=4.945028 Batch=59, step=7260, lr=0.169750, batch loss=0.219699, epoch loss=0.219699 Batch=119, step=7320, lr=0.169750, batch loss=0.184784, epoch loss=0.404483 Batch=179, step=7380, lr=0.169500, batch loss=0.195040, epoch loss=0.599523 Batch=239, step=7440, lr=0.169250, batch loss=0.289865, epoch loss=0.889388 Batch=299, step=7500, lr=0.168750, batch loss=0.201577, epoch loss=1.090965 Batch=359, step=7560, lr=0.168500, batch loss=0.258892, epoch loss=1.349857 Batch=419, step=7620, lr=0.168500, batch loss=0.256510, epoch loss=1.606366 Batch=479, step=7680, lr=0.168000, batch loss=0.237427, epoch loss=1.843793 Batch=539, step=7740, lr=0.167750, batch loss=0.188299, epoch loss=2.032092 Batch=599, step=7800, lr=0.167500, batch loss=0.225945, epoch loss=2.258036 Batch=659, step=7860, lr=0.167250, batch loss=0.305399, epoch loss=2.563436 Batch=719, step=7920, lr=0.167250, batch loss=0.307358, epoch loss=2.870793 Batch=779, step=7980, lr=0.166750, batch loss=0.321666, epoch loss=3.192460 Batch=839, step=8040, lr=0.166750, batch loss=0.296121, epoch loss=3.488580 Batch=899, step=8100, lr=0.166500, batch loss=0.259924, epoch loss=3.748504 Batch=959, step=8160, lr=0.166000, batch loss=0.206736, epoch loss=3.955240 Batch=1019, step=8220, lr=0.165750, batch loss=0.322569, epoch loss=4.277809 Batch=1079, step=8280, lr=0.165500, batch loss=0.204414, epoch loss=4.482223 Batch=1139, step=8340, lr=0.165500, batch loss=0.223783, epoch loss=4.706006 Batch=1199, step=8400, lr=0.165250, batch loss=0.175006, epoch loss=4.881012 Epoch=6, step=8400, lr=0.165250, epoch loss=4.881012 Batch=59, step=8460, lr=0.165000, batch loss=0.209409, epoch loss=0.209409 Batch=119, step=8520, lr=0.164500, batch loss=0.174027, epoch loss=0.383436 Batch=179, step=8580, lr=0.164250, batch loss=0.188085, epoch loss=0.571521 Batch=239, step=8640, lr=0.164250, batch loss=0.277980, epoch loss=0.849501 Batch=299, step=8700, lr=0.163750, batch loss=0.193052, epoch loss=1.042553 Batch=359, step=8760, lr=0.163500, batch loss=0.248047, epoch loss=1.290600 Batch=419, step=8820, lr=0.163500, batch loss=0.244500, epoch loss=1.535100 Batch=479, step=8880, lr=0.163250, batch loss=0.230417, epoch loss=1.765517 Batch=539, step=8940, lr=0.162750, batch loss=0.177034, epoch loss=1.942551 Batch=599, step=9000, lr=0.162750, batch loss=0.220174, epoch loss=2.162724 Batch=659, step=9060, lr=0.162500, batch loss=0.293569, epoch loss=2.456294 Batch=719, step=9120, lr=0.162000, batch loss=0.297298, epoch loss=2.753592 Batch=779, step=9180, lr=0.161750, batch loss=0.314625, epoch loss=3.068217 Batch=839, step=9240, lr=0.161750, batch loss=0.282587, epoch loss=3.350803 Batch=899, step=9300, lr=0.161250, batch loss=0.253104, epoch loss=3.603908 Batch=959, step=9360, lr=0.161000, batch loss=0.187203, epoch loss=3.791111 Batch=1019, step=9420, lr=0.160750, batch loss=0.317756, epoch loss=4.108867 Batch=1079, step=9480, lr=0.160750, batch loss=0.186083, epoch loss=4.294950 Batch=1139, step=9540, lr=0.160250, batch loss=0.207524, epoch loss=4.502475 Batch=1199, step=9600, lr=0.160000, batch loss=0.166688, epoch loss=4.669162 Epoch=7, step=9600, lr=0.160000, epoch loss=4.669162 Batch=59, step=9660, lr=0.159750, batch loss=0.194716, epoch loss=0.194716 Batch=119, step=9720, lr=0.159750, batch loss=0.162483, epoch loss=0.357199 Batch=179, step=9780, lr=0.159500, batch loss=0.179413, epoch loss=0.536612 Batch=239, step=9840, lr=0.159000, batch loss=0.261763, epoch loss=0.798376 Batch=299, step=9900, lr=0.159000, batch loss=0.186785, epoch loss=0.985161 Batch=359, step=9960, lr=0.158750, batch loss=0.243111, epoch loss=1.228271 Batch=419, step=10020, lr=0.158250, batch loss=0.233365, epoch loss=1.461636 Batch=479, step=10080, lr=0.158250, batch loss=0.214290, epoch loss=1.675926 Batch=539, step=10140, lr=0.157750, batch loss=0.171390, epoch loss=1.847317 Batch=599, step=10200, lr=0.157500, batch loss=0.202050, epoch loss=2.049367 Batch=659, step=10260, lr=0.157500, batch loss=0.282477, epoch loss=2.331844 Batch=719, step=10320, lr=0.157250, batch loss=0.280161, epoch loss=2.612005 Batch=779, step=10380, lr=0.157000, batch loss=0.299869, epoch loss=2.911874 Batch=839, step=10440, lr=0.156750, batch loss=0.272676, epoch loss=3.184550 Batch=899, step=10500, lr=0.156500, batch loss=0.239669, epoch loss=3.424220 Batch=959, step=10560, lr=0.156250, batch loss=0.200325, epoch loss=3.624545 Batch=1019, step=10620, lr=0.155750, batch loss=0.280999, epoch loss=3.905544 Batch=1079, step=10680, lr=0.155500, batch loss=0.152767, epoch loss=4.058311 Batch=1139, step=10740, lr=0.155500, batch loss=0.183140, epoch loss=4.241451 Batch=1199, step=10800, lr=0.155250, batch loss=0.156520, epoch loss=4.397971 Epoch=8, step=10800, lr=0.155250, epoch loss=4.397971 Batch=59, step=10860, lr=0.155000, batch loss=0.192979, epoch loss=0.192979 Batch=119, step=10920, lr=0.154500, batch loss=0.163551, epoch loss=0.356530 Batch=179, step=10980, lr=0.154500, batch loss=0.167015, epoch loss=0.523545 Batch=239, step=11040, lr=0.154250, batch loss=0.243844, epoch loss=0.767389 Batch=299, step=11100, lr=0.153750, batch loss=0.169935, epoch loss=0.937325 Batch=359, step=11160, lr=0.153500, batch loss=0.224668, epoch loss=1.161993 Batch=419, step=11220, lr=0.153250, batch loss=0.230794, epoch loss=1.392787 Batch=479, step=11280, lr=0.153250, batch loss=0.203452, epoch loss=1.596239 Batch=539, step=11340, lr=0.153000, batch loss=0.161196, epoch loss=1.757435 Batch=599, step=11400, lr=0.152500, batch loss=0.184516, epoch loss=1.941951 Batch=659, step=11460, lr=0.152250, batch loss=0.263072, epoch loss=2.205024 Batch=719, step=11520, lr=0.152250, batch loss=0.262236, epoch loss=2.467260 Batch=779, step=11580, lr=0.152000, batch loss=0.271324, epoch loss=2.738584 Batch=839, step=11640, lr=0.151750, batch loss=0.251202, epoch loss=2.989785 Batch=899, step=11700, lr=0.151250, batch loss=0.218847, epoch loss=3.208632 Batch=959, step=11760, lr=0.151000, batch loss=0.173926, epoch loss=3.382558 Batch=1019, step=11820, lr=0.150750, batch loss=0.262591, epoch loss=3.645149 Batch=1079, step=11880, lr=0.150750, batch loss=0.158133, epoch loss=3.803282 Batch=1139, step=11940, lr=0.150500, batch loss=0.191407, epoch loss=3.994690 Batch=1199, step=12000, lr=0.150250, batch loss=0.140011, epoch loss=4.134701 Epoch=9, step=12000, lr=0.150250, epoch loss=4.134701 Batch=59, step=12060, lr=0.149750, batch loss=0.162757, epoch loss=0.162757 Batch=119, step=12120, lr=0.149750, batch loss=0.137677, epoch loss=0.300434 Batch=179, step=12180, lr=0.149500, batch loss=0.152152, epoch loss=0.452587 Batch=239, step=12240, lr=0.149250, batch loss=0.221026, epoch loss=0.673613 Batch=299, step=12300, lr=0.149000, batch loss=0.144242, epoch loss=0.817855 Batch=359, step=12360, lr=0.148750, batch loss=0.200303, epoch loss=1.018159 Batch=419, step=12420, lr=0.148500, batch loss=0.207151, epoch loss=1.225309 Batch=479, step=12480, lr=0.148250, batch loss=0.181499, epoch loss=1.406809 Batch=539, step=12540, lr=0.147750, batch loss=0.143257, epoch loss=1.550066 Batch=599, step=12600, lr=0.147750, batch loss=0.151518, epoch loss=1.701583 Batch=659, step=12660, lr=0.147250, batch loss=0.227775, epoch loss=1.929358 Batch=719, step=12720, lr=0.147250, batch loss=0.239410, epoch loss=2.168768 Batch=779, step=12780, lr=0.147000, batch loss=0.264707, epoch loss=2.433475 Batch=839, step=12840, lr=0.146750, batch loss=0.237160, epoch loss=2.670635 Batch=899, step=12900, lr=0.146500, batch loss=0.222275, epoch loss=2.892910 Batch=959, step=12960, lr=0.146250, batch loss=0.144895, epoch loss=3.037806 Batch=1019, step=13020, lr=0.146000, batch loss=0.221379, epoch loss=3.259185 Batch=1079, step=13080, lr=0.145750, batch loss=0.110514, epoch loss=3.369699 Batch=1139, step=13140, lr=0.145250, batch loss=0.145407, epoch loss=3.515106 Batch=1199, step=13200, lr=0.145250, batch loss=0.122392, epoch loss=3.637499 Epoch=10, step=13200, lr=0.145250, epoch loss=3.637499 Batch=59, step=13260, lr=0.144750, batch loss=0.152037, epoch loss=0.152037 Batch=119, step=13320, lr=0.144750, batch loss=0.131565, epoch loss=0.283601 Batch=179, step=13380, lr=0.144250, batch loss=0.131007, epoch loss=0.414609 Batch=239, step=13440, lr=0.144250, batch loss=0.193537, epoch loss=0.608146 Batch=299, step=13500, lr=0.143750, batch loss=0.122211, epoch loss=0.730357 Batch=359, step=13560, lr=0.143750, batch loss=0.164038, epoch loss=0.894395 Batch=419, step=13620, lr=0.143250, batch loss=0.164305, epoch loss=1.058700 Batch=479, step=13680, lr=0.143000, batch loss=0.146919, epoch loss=1.205619 Batch=539, step=13740, lr=0.142750, batch loss=0.121396, epoch loss=1.327015 Batch=599, step=13800, lr=0.142500, batch loss=0.122478, epoch loss=1.449493 Batch=659, step=13860, lr=0.142250, batch loss=0.178310, epoch loss=1.627803 Batch=719, step=13920, lr=0.142250, batch loss=0.179283, epoch loss=1.807086 Batch=779, step=13980, lr=0.141750, batch loss=0.200644, epoch loss=2.007731 Batch=839, step=14040, lr=0.141500, batch loss=0.190997, epoch loss=2.198728 Batch=899, step=14100, lr=0.141250, batch loss=0.181652, epoch loss=2.380380 Batch=959, step=14160, lr=0.141250, batch loss=0.135962, epoch loss=2.516342 Batch=1019, step=14220, lr=0.141000, batch loss=0.264634, epoch loss=2.780976 Batch=1079, step=14280, lr=0.140750, batch loss=0.080971, epoch loss=2.861948 Batch=1139, step=14340, lr=0.140500, batch loss=0.122630, epoch loss=2.984578 Batch=1199, step=14400, lr=0.140000, batch loss=0.090259, epoch loss=3.074837 Epoch=11, step=14400, lr=0.140000, epoch loss=3.074837 Batch=59, step=14460, lr=0.139750, batch loss=0.106348, epoch loss=0.106348 Batch=119, step=14520, lr=0.139500, batch loss=0.100998, epoch loss=0.207346 Batch=179, step=14580, lr=0.139500, batch loss=0.101838, epoch loss=0.309184 Batch=239, step=14640, lr=0.139000, batch loss=0.148814, epoch loss=0.457998 Batch=299, step=14700, lr=0.138750, batch loss=0.081935, epoch loss=0.539932 Batch=359, step=14760, lr=0.138750, batch loss=0.125173, epoch loss=0.665106 Batch=419, step=14820, lr=0.138250, batch loss=0.131730, epoch loss=0.796835 Batch=479, step=14880, lr=0.138000, batch loss=0.103724, epoch loss=0.900559 Batch=539, step=14940, lr=0.138000, batch loss=0.101853, epoch loss=1.002413 Batch=599, step=15000, lr=0.137500, batch loss=0.085995, epoch loss=1.088407 Batch=659, step=15060, lr=0.137500, batch loss=0.130881, epoch loss=1.219288 Batch=719, step=15120, lr=0.137000, batch loss=0.123211, epoch loss=1.342499 Batch=779, step=15180, lr=0.137000, batch loss=0.134909, epoch loss=1.477408 Batch=839, step=15240, lr=0.136500, batch loss=0.179038, epoch loss=1.656446 Batch=899, step=15300, lr=0.136500, batch loss=0.308600, epoch loss=1.965046 Batch=959, step=15360, lr=0.136000, batch loss=0.066145, epoch loss=2.031191 Batch=1019, step=15420, lr=0.135750, batch loss=0.147411, epoch loss=2.178602 Batch=1079, step=15480, lr=0.135750, batch loss=0.043861, epoch loss=2.222464 Batch=1139, step=15540, lr=0.135250, batch loss=0.100208, epoch loss=2.322671 Batch=1199, step=15600, lr=0.135000, batch loss=0.061827, epoch loss=2.384498 Epoch=12, step=15600, lr=0.135000, epoch loss=2.384498 Batch=59, step=15660, lr=0.135000, batch loss=0.090034, epoch loss=0.090034 Batch=119, step=15720, lr=0.134750, batch loss=0.136263, epoch loss=0.226297 Batch=179, step=15780, lr=0.134250, batch loss=0.100698, epoch loss=0.326996 Batch=239, step=15840, lr=0.134000, batch loss=0.102759, epoch loss=0.429755 Batch=299, step=15900, lr=0.134000, batch loss=0.048353, epoch loss=0.478108 Batch=359, step=15960, lr=0.133500, batch loss=0.089857, epoch loss=0.567965 Batch=419, step=16020, lr=0.133500, batch loss=0.080352, epoch loss=0.648317 Batch=479, step=16080, lr=0.133000, batch loss=0.061218, epoch loss=0.709535 Batch=539, step=16140, lr=0.132750, batch loss=0.066721, epoch loss=0.776257 Batch=599, step=16200, lr=0.132500, batch loss=0.145467, epoch loss=0.921724 Batch=659, step=16260, lr=0.132250, batch loss=0.093416, epoch loss=1.015139 Batch=719, step=16320, lr=0.132000, batch loss=0.129192, epoch loss=1.144331 Batch=779, step=16380, lr=0.131750, batch loss=0.272128, epoch loss=1.416459 Batch=839, step=16440, lr=0.131500, batch loss=0.093280, epoch loss=1.509739 Batch=899, step=16500, lr=0.131250, batch loss=0.077072, epoch loss=1.586811 Batch=959, step=16560, lr=0.131000, batch loss=0.044375, epoch loss=1.631186 Batch=1019, step=16620, lr=0.130750, batch loss=0.099308, epoch loss=1.730494 Batch=1079, step=16680, lr=0.130500, batch loss=0.029879, epoch loss=1.760372 Batch=1139, step=16740, lr=0.130500, batch loss=0.063805, epoch loss=1.824178 Batch=1199, step=16800, lr=0.130000, batch loss=0.031807, epoch loss=1.855984 Epoch=13, step=16800, lr=0.130000, epoch loss=1.855984 Batch=59, step=16860, lr=0.129750, batch loss=0.035417, epoch loss=0.035417 Batch=119, step=16920, lr=0.129750, batch loss=0.037008, epoch loss=0.072425 Batch=179, step=16980, lr=0.129250, batch loss=0.043765, epoch loss=0.116189 Batch=239, step=17040, lr=0.129000, batch loss=0.061163, epoch loss=0.177353 Batch=299, step=17100, lr=0.128750, batch loss=0.028234, epoch loss=0.205586 Batch=359, step=17160, lr=0.128500, batch loss=0.054527, epoch loss=0.260113 Batch=419, step=17220, lr=0.128250, batch loss=0.090519, epoch loss=0.350632 Batch=479, step=17280, lr=0.128000, batch loss=0.026674, epoch loss=0.377306 Batch=539, step=17340, lr=0.128000, batch loss=0.028393, epoch loss=0.405699 Batch=599, step=17400, lr=0.127750, batch loss=0.036319, epoch loss=0.442018 Batch=659, step=17460, lr=0.127250, batch loss=0.048692, epoch loss=0.490710 Batch=719, step=17520, lr=0.127250, batch loss=0.047963, epoch loss=0.538673 Batch=779, step=17580, lr=0.126750, batch loss=0.085620, epoch loss=0.624293 Batch=839, step=17640, lr=0.126750, batch loss=0.230417, epoch loss=0.854710 Batch=899, step=17700, lr=0.126250, batch loss=0.053113, epoch loss=0.907823 Batch=959, step=17760, lr=0.126000, batch loss=0.045577, epoch loss=0.953400 Batch=1019, step=17820, lr=0.126000, batch loss=0.102270, epoch loss=1.055670 Batch=1079, step=17880, lr=0.125500, batch loss=0.014745, epoch loss=1.070415 Batch=1139, step=17940, lr=0.125500, batch loss=0.031409, epoch loss=1.101825 Batch=1199, step=18000, lr=0.125000, batch loss=0.016863, epoch loss=1.118688 Epoch=14, step=18000, lr=0.125000, epoch loss=1.118688 Batch=59, step=18060, lr=0.124750, batch loss=0.014445, epoch loss=0.014445 Batch=119, step=18120, lr=0.124750, batch loss=0.030459, epoch loss=0.044904 Batch=179, step=18180, lr=0.124250, batch loss=0.071882, epoch loss=0.116786 Batch=239, step=18240, lr=0.124250, batch loss=0.040636, epoch loss=0.157422 Batch=299, step=18300, lr=0.123750, batch loss=0.013302, epoch loss=0.170724 Batch=359, step=18360, lr=0.123500, batch loss=0.034334, epoch loss=0.205058 Batch=419, step=18420, lr=0.123500, batch loss=0.030214, epoch loss=0.235272 Batch=479, step=18480, lr=0.123000, batch loss=0.011495, epoch loss=0.246766 Batch=539, step=18540, lr=0.122750, batch loss=0.021393, epoch loss=0.268159 Batch=599, step=18600, lr=0.122500, batch loss=0.033822, epoch loss=0.301981 Batch=659, step=18660, lr=0.122500, batch loss=0.030259, epoch loss=0.332241 Batch=719, step=18720, lr=0.122250, batch loss=0.050397, epoch loss=0.382638 Batch=779, step=18780, lr=0.121750, batch loss=0.097805, epoch loss=0.480443 Batch=839, step=18840, lr=0.121750, batch loss=0.056961, epoch loss=0.537404 Batch=899, step=18900, lr=0.121500, batch loss=0.060457, epoch loss=0.597861 Batch=959, step=18960, lr=0.121250, batch loss=0.014587, epoch loss=0.612448 Batch=1019, step=19020, lr=0.120750, batch loss=0.023190, epoch loss=0.635638 Batch=1079, step=19080, lr=0.120500, batch loss=0.009357, epoch loss=0.644996 Batch=1139, step=19140, lr=0.120500, batch loss=0.024737, epoch loss=0.669733 Batch=1199, step=19200, lr=0.120250, batch loss=0.009923, epoch loss=0.679655 Epoch=15, step=19200, lr=0.120250, epoch loss=0.679655 Batch=59, step=19260, lr=0.119750, batch loss=0.005146, epoch loss=0.005146 Batch=119, step=19320, lr=0.119500, batch loss=0.017262, epoch loss=0.022408 Batch=179, step=19380, lr=0.119500, batch loss=0.039944, epoch loss=0.062352 Batch=239, step=19440, lr=0.119000, batch loss=0.023725, epoch loss=0.086077 Batch=299, step=19500, lr=0.119000, batch loss=0.005982, epoch loss=0.092059 Batch=359, step=19560, lr=0.118500, batch loss=0.016985, epoch loss=0.109044 Batch=419, step=19620, lr=0.118500, batch loss=0.020393, epoch loss=0.129437 Batch=479, step=19680, lr=0.118000, batch loss=0.008362, epoch loss=0.137799 Batch=539, step=19740, lr=0.117750, batch loss=0.020554, epoch loss=0.158353 Batch=599, step=19800, lr=0.117500, batch loss=0.022667, epoch loss=0.181020 Batch=659, step=19860, lr=0.117500, batch loss=0.022576, epoch loss=0.203596 Batch=719, step=19920, lr=0.117250, batch loss=0.027780, epoch loss=0.231376 Batch=779, step=19980, lr=0.117000, batch loss=0.065648, epoch loss=0.297024 Batch=839, step=20040, lr=0.116750, batch loss=0.034224, epoch loss=0.331248 Batch=899, step=20100, lr=0.116500, batch loss=0.035830, epoch loss=0.367078 Batch=959, step=20160, lr=0.116250, batch loss=0.015717, epoch loss=0.382795 Batch=1019, step=20220, lr=0.115750, batch loss=0.019620, epoch loss=0.402415 Batch=1079, step=20280, lr=0.115750, batch loss=0.005588, epoch loss=0.408002 Batch=1139, step=20340, lr=0.115500, batch loss=0.019362, epoch loss=0.427364 Batch=1199, step=20400, lr=0.115250, batch loss=0.007123, epoch loss=0.434487 Epoch=16, step=20400, lr=0.115250, epoch loss=0.434487 Batch=59, step=20460, lr=0.115000, batch loss=0.003624, epoch loss=0.003624 Batch=119, step=20520, lr=0.114750, batch loss=0.010379, epoch loss=0.014003 Batch=179, step=20580, lr=0.114500, batch loss=0.022201, epoch loss=0.036204 Batch=239, step=20640, lr=0.114250, batch loss=0.017881, epoch loss=0.054085 Batch=299, step=20700, lr=0.114000, batch loss=0.008975, epoch loss=0.063060 Batch=359, step=20760, lr=0.113750, batch loss=0.013850, epoch loss=0.076910 Batch=419, step=20820, lr=0.113500, batch loss=0.017205, epoch loss=0.094115 Batch=479, step=20880, lr=0.113250, batch loss=0.005914, epoch loss=0.100030 Batch=539, step=20940, lr=0.113000, batch loss=0.016078, epoch loss=0.116108 Batch=599, step=21000, lr=0.112750, batch loss=0.019370, epoch loss=0.135478 Batch=659, step=21060, lr=0.112500, batch loss=0.014993, epoch loss=0.150471 Batch=719, step=21120, lr=0.112250, batch loss=0.042920, epoch loss=0.193392 Batch=779, step=21180, lr=0.112000, batch loss=0.071645, epoch loss=0.265037 Batch=839, step=21240, lr=0.111750, batch loss=0.026449, epoch loss=0.291486 Batch=899, step=21300, lr=0.111500, batch loss=0.028587, epoch loss=0.320073 Batch=959, step=21360, lr=0.111000, batch loss=0.010216, epoch loss=0.330288 Batch=1019, step=21420, lr=0.111000, batch loss=0.010828, epoch loss=0.341117 Batch=1079, step=21480, lr=0.110750, batch loss=0.001853, epoch loss=0.342969 Batch=1139, step=21540, lr=0.110500, batch loss=0.013163, epoch loss=0.356132 Batch=1199, step=21600, lr=0.110250, batch loss=0.005277, epoch loss=0.361409 Epoch=17, step=21600, lr=0.110250, epoch loss=0.361409 Batch=59, step=21660, lr=0.109750, batch loss=0.002245, epoch loss=0.002245 Batch=119, step=21720, lr=0.109500, batch loss=0.007076, epoch loss=0.009321 Batch=179, step=21780, lr=0.109500, batch loss=0.013373, epoch loss=0.022694 Batch=239, step=21840, lr=0.109250, batch loss=0.011281, epoch loss=0.033975 Batch=299, step=21900, lr=0.108750, batch loss=0.012951, epoch loss=0.046926 Batch=359, step=21960, lr=0.108500, batch loss=0.013171, epoch loss=0.060097 Batch=419, step=22020, lr=0.108250, batch loss=0.013785, epoch loss=0.073882 Batch=479, step=22080, lr=0.108250, batch loss=0.003934, epoch loss=0.077816 Batch=539, step=22140, lr=0.108000, batch loss=0.015097, epoch loss=0.092913 Batch=599, step=22200, lr=0.107750, batch loss=0.016406, epoch loss=0.109319 Batch=659, step=22260, lr=0.107250, batch loss=0.014886, epoch loss=0.124205 Batch=719, step=22320, lr=0.107250, batch loss=0.028669, epoch loss=0.152874 Batch=779, step=22380, lr=0.106750, batch loss=0.035519, epoch loss=0.188393 Batch=839, step=22440, lr=0.106750, batch loss=0.026144, epoch loss=0.214537 Batch=899, step=22500, lr=0.106500, batch loss=0.027462, epoch loss=0.241999 Batch=959, step=22560, lr=0.106000, batch loss=0.009373, epoch loss=0.251372 Batch=1019, step=22620, lr=0.105750, batch loss=0.008850, epoch loss=0.260222 Batch=1079, step=22680, lr=0.105500, batch loss=0.000623, epoch loss=0.260844 Batch=1139, step=22740, lr=0.105500, batch loss=0.010927, epoch loss=0.271772 Batch=1199, step=22800, lr=0.105250, batch loss=0.004693, epoch loss=0.276465 Epoch=18, step=22800, lr=0.105250, epoch loss=0.276465 Batch=59, step=22860, lr=0.105000, batch loss=0.001858, epoch loss=0.001858 Batch=119, step=22920, lr=0.104750, batch loss=0.005826, epoch loss=0.007684 Batch=179, step=22980, lr=0.104500, batch loss=0.011203, epoch loss=0.018887 Batch=239, step=23040, lr=0.104000, batch loss=0.010676, epoch loss=0.029563 Batch=299, step=23100, lr=0.103750, batch loss=0.010136, epoch loss=0.039699 Batch=359, step=23160, lr=0.103500, batch loss=0.012203, epoch loss=0.051901 Batch=419, step=23220, lr=0.103500, batch loss=0.011340, epoch loss=0.063242 Batch=479, step=23280, lr=0.103000, batch loss=0.004331, epoch loss=0.067573 Batch=539, step=23340, lr=0.103000, batch loss=0.014076, epoch loss=0.081649 Batch=599, step=23400, lr=0.102750, batch loss=0.014524, epoch loss=0.096173 Batch=659, step=23460, lr=0.102500, batch loss=0.013864, epoch loss=0.110037 Batch=719, step=23520, lr=0.102250, batch loss=0.020217, epoch loss=0.130255 Batch=779, step=23580, lr=0.102000, batch loss=0.023657, epoch loss=0.153912 Batch=839, step=23640, lr=0.101750, batch loss=0.028401, epoch loss=0.182313 Batch=899, step=23700, lr=0.101500, batch loss=0.022256, epoch loss=0.204569 Batch=959, step=23760, lr=0.101000, batch loss=0.009637, epoch loss=0.214207 Batch=1019, step=23820, lr=0.101000, batch loss=0.007405, epoch loss=0.221612 Batch=1079, step=23880, lr=0.100500, batch loss=0.001577, epoch loss=0.223189 Batch=1139, step=23940, lr=0.100500, batch loss=0.008725, epoch loss=0.231914 Batch=1199, step=24000, lr=0.100250, batch loss=0.004935, epoch loss=0.236849 Epoch=19, step=24000, lr=0.100250, epoch loss=0.236849 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:52.20 ---> saved as "b3d676c57fbdc0b15dcba8c950a0ed11c47a5ba319b534d36bfb02f0ff644de0" Job succeeded 2025-03-20 22:52.20: Job succeeded