2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (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 2032408f 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 2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-22 15:30.21: 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")) ) 2025-03-22 15:30.21: Waiting for resource in pool OCluster 2025-03-22 15:30.21: Waiting for worker… 2025-03-22 15:30.21: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at 5bd3107f %cd syntax: Provide projections for scalar constants directly TODO: also special handle operators `!.` and `!..` to use the Scalar slot. HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..` (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 2025-03-22 15:30.22 ---> 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")) 2025-03-22 15:30.22 ---> 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 2025-03-22 15:30.22 ---> 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 2025-03-22 15:30.22 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-22 15:30.22 ---> 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) 2025-03-22 15:30.22 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-22 15:30.22 ---> 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) 2025-03-22 15:30.22 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-22 15:30.22 ---> 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) ... 2025-03-22 15:30.22 ---> 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) 2025-03-22 15:30.22 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-22 15:30.26 ---> saved as "a83e92253694b3ea43c4ca2a12375c93d60ccedd2a93f675a4e839639b29550e" /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/f83b788993805a473b12c01baae9990c/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/fdcaa82913500c9af1da89901db118d2/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f83b788993805a473b12c01baae9990c/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/f83b788993805a473b12c01baae9990c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852303, epoch loss=35.617934 Batch=299, step=300, lr=0.198750, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198500, batch loss=1.336864, epoch loss=38.399751 Batch=419, step=420, lr=0.198250, batch loss=0.614359, epoch loss=39.014109 Batch=479, step=480, lr=0.198250, batch loss=0.794791, epoch loss=39.808900 Batch=539, step=540, lr=0.197750, batch loss=0.653170, epoch loss=40.462070 Batch=599, step=600, lr=0.197750, batch loss=1.083435, epoch loss=41.545506 Batch=659, step=660, lr=0.197500, batch loss=0.482950, epoch loss=42.028456 Batch=719, step=720, lr=0.197000, batch loss=0.412490, epoch loss=42.440946 Batch=779, step=780, lr=0.196750, batch loss=0.470809, epoch loss=42.911755 Batch=839, step=840, lr=0.196500, batch loss=0.445234, epoch loss=43.356989 Batch=899, step=900, lr=0.196250, batch loss=0.386282, epoch loss=43.743271 Batch=959, step=960, lr=0.196000, batch loss=0.250668, epoch loss=43.993939 Batch=1019, step=1020, lr=0.196000, batch loss=0.472407, epoch loss=44.466346 Batch=1079, step=1080, lr=0.195500, batch loss=0.246842, epoch loss=44.713187 Batch=1139, step=1140, lr=0.195250, batch loss=0.319515, epoch loss=45.032703 Batch=1199, step=1200, lr=0.195250, batch loss=0.265723, epoch loss=45.298426 Epoch=0, step=1200, lr=0.195250, epoch loss=45.298426 Batch=59, step=1260, lr=0.195000, batch loss=0.264186, epoch loss=0.264186 Batch=119, step=1320, lr=0.194750, batch loss=0.206438, epoch loss=0.470624 Batch=179, step=1380, lr=0.194250, batch loss=0.247218, epoch loss=0.717842 Batch=239, step=1440, lr=0.194000, batch loss=0.353999, epoch loss=1.071841 Batch=299, step=1500, lr=0.194000, batch loss=0.237606, epoch loss=1.309447 Batch=359, step=1560, lr=0.193500, batch loss=0.315166, epoch loss=1.624614 Batch=419, step=1620, lr=0.193250, batch loss=0.309442, epoch loss=1.934056 Batch=479, step=1680, lr=0.193000, batch loss=0.274574, epoch loss=2.208630 Batch=539, step=1740, lr=0.193000, batch loss=0.211099, epoch loss=2.419729 Batch=599, step=1800, lr=0.192750, batch loss=0.261645, epoch loss=2.681374 Batch=659, step=1860, lr=0.192250, batch loss=0.377715, epoch loss=3.059089 Batch=719, step=1920, lr=0.192250, batch loss=0.361755, epoch loss=3.420844 Batch=779, step=1980, lr=0.191750, batch loss=0.388557, epoch loss=3.809401 Batch=839, step=2040, lr=0.191500, batch loss=0.349465, epoch loss=4.158866 Batch=899, step=2100, lr=0.191250, batch loss=0.319659, epoch loss=4.478525 Batch=959, step=2160, lr=0.191000, batch loss=0.237323, epoch loss=4.715848 Batch=1019, step=2220, lr=0.190750, batch loss=0.320700, epoch loss=5.036548 Batch=1079, step=2280, lr=0.190500, batch loss=0.173655, epoch loss=5.210203 Batch=1139, step=2340, lr=0.190250, batch loss=0.241305, epoch loss=5.451508 Batch=1199, step=2400, lr=0.190000, batch loss=0.212276, epoch loss=5.663784 Epoch=1, step=2400, lr=0.190000, epoch loss=5.663784 Batch=59, step=2460, lr=0.189750, batch loss=0.241285, epoch loss=0.241285 Batch=119, step=2520, lr=0.189500, batch loss=0.209268, epoch loss=0.450553 Batch=179, step=2580, lr=0.189250, batch loss=0.222482, epoch loss=0.673035 Batch=239, step=2640, lr=0.189000, batch loss=0.327662, epoch loss=1.000697 Batch=299, step=2700, lr=0.189000, batch loss=0.211085, epoch loss=1.211783 Batch=359, step=2760, lr=0.188500, batch loss=0.292049, epoch loss=1.503831 Batch=419, step=2820, lr=0.188500, batch loss=0.282871, epoch loss=1.786702 Batch=479, step=2880, lr=0.188250, batch loss=0.259526, epoch loss=2.046228 Batch=539, step=2940, lr=0.188000, batch loss=0.200447, epoch loss=2.246675 Batch=599, step=3000, lr=0.187500, batch loss=0.250472, epoch loss=2.497147 Batch=659, step=3060, lr=0.187250, batch loss=0.348761, epoch loss=2.845908 Batch=719, step=3120, lr=0.187000, batch loss=0.348705, epoch loss=3.194613 Batch=779, step=3180, lr=0.186750, batch loss=0.365400, epoch loss=3.560013 Batch=839, step=3240, lr=0.186750, batch loss=0.324637, epoch loss=3.884650 Batch=899, step=3300, lr=0.186250, batch loss=0.291086, epoch loss=4.175737 Batch=959, step=3360, lr=0.186000, batch loss=0.222870, epoch loss=4.398607 Batch=1019, step=3420, lr=0.185750, batch loss=0.345066, epoch loss=4.743672 Batch=1079, step=3480, lr=0.185500, batch loss=0.227911, epoch loss=4.971583 Batch=1139, step=3540, lr=0.185500, batch loss=0.264584, epoch loss=5.236167 Batch=1199, step=3600, lr=0.185250, batch loss=0.200772, epoch loss=5.436939 Epoch=2, step=3600, lr=0.185250, epoch loss=5.436939 Batch=59, step=3660, lr=0.185000, batch loss=0.222185, epoch loss=0.222185 Batch=119, step=3720, lr=0.184750, batch loss=0.186408, epoch loss=0.408594 Batch=179, step=3780, lr=0.184500, batch loss=0.212883, epoch loss=0.621477 Batch=239, step=3840, lr=0.184250, batch loss=0.317761, epoch loss=0.939238 Batch=299, step=3900, lr=0.183750, batch loss=0.202973, epoch loss=1.142210 Batch=359, step=3960, lr=0.183750, batch loss=0.289094, epoch loss=1.431304 Batch=419, step=4020, lr=0.183500, batch loss=0.275782, epoch loss=1.707086 Batch=479, step=4080, lr=0.183250, batch loss=0.259780, epoch loss=1.966866 Batch=539, step=4140, lr=0.182750, batch loss=0.195942, epoch loss=2.162808 Batch=599, step=4200, lr=0.182750, batch loss=0.238894, epoch loss=2.401702 Batch=659, step=4260, lr=0.182500, batch loss=0.331353, epoch loss=2.733055 Batch=719, step=4320, lr=0.182250, batch loss=0.327819, epoch loss=3.060875 Batch=779, step=4380, lr=0.181750, batch loss=0.355069, epoch loss=3.415944 Batch=839, step=4440, lr=0.181500, batch loss=0.317330, epoch loss=3.733274 Batch=899, step=4500, lr=0.181500, batch loss=0.288430, epoch loss=4.021704 Batch=959, step=4560, lr=0.181250, batch loss=0.238628, epoch loss=4.260332 Batch=1019, step=4620, lr=0.180750, batch loss=0.336545, epoch loss=4.596878 Batch=1079, step=4680, lr=0.180750, batch loss=0.205683, epoch loss=4.802561 Batch=1139, step=4740, lr=0.180500, batch loss=0.242456, epoch loss=5.045017 Batch=1199, step=4800, lr=0.180250, batch loss=0.192725, epoch loss=5.237742 Epoch=3, step=4800, lr=0.180250, epoch loss=5.237742 Batch=59, step=4860, lr=0.180000, batch loss=0.231440, epoch loss=0.231440 Batch=119, step=4920, lr=0.179500, batch loss=0.190759, epoch loss=0.422198 Batch=179, step=4980, lr=0.179500, batch loss=0.207439, epoch loss=0.629637 Batch=239, step=5040, lr=0.179250, batch loss=0.308006, epoch loss=0.937643 Batch=299, step=5100, lr=0.179000, batch loss=0.202855, epoch loss=1.140498 Batch=359, step=5160, lr=0.178750, batch loss=0.273592, epoch loss=1.414090 Batch=419, step=5220, lr=0.178250, batch loss=0.265405, epoch loss=1.679494 Batch=479, step=5280, lr=0.178250, batch loss=0.240286, epoch loss=1.919780 Batch=539, step=5340, lr=0.178000, batch loss=0.193225, epoch loss=2.113005 Batch=599, step=5400, lr=0.177500, batch loss=0.227328, epoch loss=2.340334 Batch=659, step=5460, lr=0.177250, batch loss=0.326578, epoch loss=2.666912 Batch=719, step=5520, lr=0.177250, batch loss=0.333988, epoch loss=3.000900 Batch=779, step=5580, lr=0.176750, batch loss=0.343724, epoch loss=3.344625 Batch=839, step=5640, lr=0.176750, batch loss=0.309968, epoch loss=3.654593 Batch=899, step=5700, lr=0.176250, batch loss=0.274191, epoch loss=3.928784 Batch=959, step=5760, lr=0.176250, batch loss=0.213130, epoch loss=4.141913 Batch=1019, step=5820, lr=0.176000, batch loss=0.340260, epoch loss=4.482173 Batch=1079, step=5880, lr=0.175500, batch loss=0.206501, epoch loss=4.688675 Batch=1139, step=5940, lr=0.175250, batch loss=0.240923, epoch loss=4.929598 Batch=1199, step=6000, lr=0.175250, batch loss=0.188601, epoch loss=5.118199 Epoch=4, step=6000, lr=0.175250, epoch loss=5.118199 Batch=59, step=6060, lr=0.174750, batch loss=0.230469, epoch loss=0.230469 Batch=119, step=6120, lr=0.174500, batch loss=0.188099, epoch loss=0.418568 Batch=179, step=6180, lr=0.174500, batch loss=0.202482, epoch loss=0.621051 Batch=239, step=6240, lr=0.174250, batch loss=0.302361, epoch loss=0.923412 Batch=299, step=6300, lr=0.173750, batch loss=0.212594, epoch loss=1.136006 Batch=359, step=6360, lr=0.173750, batch loss=0.270640, epoch loss=1.406646 Batch=419, step=6420, lr=0.173250, batch loss=0.265102, epoch loss=1.671748 Batch=479, step=6480, lr=0.173250, batch loss=0.244635, epoch loss=1.916383 Batch=539, step=6540, lr=0.173000, batch loss=0.190705, epoch loss=2.107087 Batch=599, step=6600, lr=0.172750, batch loss=0.230018, epoch loss=2.337105 Batch=659, step=6660, lr=0.172500, batch loss=0.315613, epoch loss=2.652717 Batch=719, step=6720, lr=0.172250, batch loss=0.317638, epoch loss=2.970356 Batch=779, step=6780, lr=0.172000, batch loss=0.331719, epoch loss=3.302075 Batch=839, step=6840, lr=0.171500, batch loss=0.306625, epoch loss=3.608700 Batch=899, step=6900, lr=0.171250, batch loss=0.272009, epoch loss=3.880709 Batch=959, step=6960, lr=0.171250, batch loss=0.205455, epoch loss=4.086164 Batch=1019, step=7020, lr=0.170750, batch loss=0.328681, epoch loss=4.414844 Batch=1079, step=7080, lr=0.170750, batch loss=0.182502, epoch loss=4.597347 Batch=1139, step=7140, lr=0.170500, batch loss=0.216404, epoch loss=4.813751 Batch=1199, step=7200, lr=0.170000, batch loss=0.182796, epoch loss=4.996547 Epoch=5, step=7200, lr=0.170000, epoch loss=4.996547 Batch=59, step=7260, lr=0.169750, batch loss=0.228210, epoch loss=0.228210 Batch=119, step=7320, lr=0.169500, batch loss=0.188946, epoch loss=0.417156 Batch=179, step=7380, lr=0.169250, batch loss=0.196396, epoch loss=0.613551 Batch=239, step=7440, lr=0.169000, batch loss=0.290765, epoch loss=0.904316 Batch=299, step=7500, lr=0.169000, batch loss=0.194044, epoch loss=1.098360 Batch=359, step=7560, lr=0.168500, batch loss=0.256595, epoch loss=1.354955 Batch=419, step=7620, lr=0.168250, batch loss=0.250606, epoch loss=1.605561 Batch=479, step=7680, lr=0.168250, batch loss=0.225041, epoch loss=1.830602 Batch=539, step=7740, lr=0.167750, batch loss=0.184446, epoch loss=2.015048 Batch=599, step=7800, lr=0.167500, batch loss=0.219266, epoch loss=2.234314 Batch=659, step=7860, lr=0.167500, batch loss=0.306993, epoch loss=2.541306 Batch=719, step=7920, lr=0.167000, batch loss=0.308138, epoch loss=2.849444 Batch=779, step=7980, lr=0.167000, batch loss=0.322507, epoch loss=3.171951 Batch=839, step=8040, lr=0.166500, batch loss=0.297055, epoch loss=3.469006 Batch=899, step=8100, lr=0.166500, batch loss=0.259862, epoch loss=3.728868 Batch=959, step=8160, lr=0.166000, batch loss=0.206663, epoch loss=3.935531 Batch=1019, step=8220, lr=0.165750, batch loss=0.323461, epoch loss=4.258993 Batch=1079, step=8280, lr=0.165500, batch loss=0.193556, epoch loss=4.452548 Batch=1139, step=8340, lr=0.165500, batch loss=0.223485, epoch loss=4.676033 Batch=1199, step=8400, lr=0.165000, batch loss=0.174336, epoch loss=4.850369 Epoch=6, step=8400, lr=0.165000, epoch loss=4.850369 Batch=59, step=8460, lr=0.164750, batch loss=0.209641, epoch loss=0.209641 Batch=119, step=8520, lr=0.164750, batch loss=0.174915, epoch loss=0.384556 Batch=179, step=8580, lr=0.164500, batch loss=0.189562, epoch loss=0.574118 Batch=239, step=8640, lr=0.164000, batch loss=0.280807, epoch loss=0.854925 Batch=299, step=8700, lr=0.164000, batch loss=0.193424, epoch loss=1.048349 Batch=359, step=8760, lr=0.163500, batch loss=0.248637, epoch loss=1.296986 Batch=419, step=8820, lr=0.163250, batch loss=0.246434, epoch loss=1.543420 Batch=479, step=8880, lr=0.163000, batch loss=0.227313, epoch loss=1.770732 Batch=539, step=8940, lr=0.162750, batch loss=0.181040, epoch loss=1.951772 Batch=599, step=9000, lr=0.162500, batch loss=0.215352, epoch loss=2.167124 Batch=659, step=9060, lr=0.162250, batch loss=0.296890, epoch loss=2.464014 Batch=719, step=9120, lr=0.162250, batch loss=0.299570, epoch loss=2.763583 Batch=779, step=9180, lr=0.162000, batch loss=0.318564, epoch loss=3.082148 Batch=839, step=9240, lr=0.161750, batch loss=0.288776, epoch loss=3.370924 Batch=899, step=9300, lr=0.161250, batch loss=0.251931, epoch loss=3.622855 Batch=959, step=9360, lr=0.161000, batch loss=0.190666, epoch loss=3.813521 Batch=1019, step=9420, lr=0.160750, batch loss=0.314106, epoch loss=4.127627 Batch=1079, step=9480, lr=0.160500, batch loss=0.180534, epoch loss=4.308161 Batch=1139, step=9540, lr=0.160250, batch loss=0.211152, epoch loss=4.519313 Batch=1199, step=9600, lr=0.160250, batch loss=0.166876, epoch loss=4.686190 Epoch=7, step=9600, lr=0.160250, epoch loss=4.686190 Batch=59, step=9660, lr=0.159750, batch loss=0.204985, epoch loss=0.204985 Batch=119, step=9720, lr=0.159500, batch loss=0.175869, epoch loss=0.380854 Batch=179, step=9780, lr=0.159500, batch loss=0.181402, epoch loss=0.562256 Batch=239, step=9840, lr=0.159000, batch loss=0.263426, epoch loss=0.825682 Batch=299, step=9900, lr=0.158750, batch loss=0.187126, epoch loss=1.012809 Batch=359, step=9960, lr=0.158500, batch loss=0.238419, epoch loss=1.251227 Batch=419, step=10020, lr=0.158500, batch loss=0.237372, epoch loss=1.488599 Batch=479, step=10080, lr=0.158250, batch loss=0.218878, epoch loss=1.707478 Batch=539, step=10140, lr=0.158000, batch loss=0.172586, epoch loss=1.880063 Batch=599, step=10200, lr=0.157500, batch loss=0.201087, epoch loss=2.081150 Batch=659, step=10260, lr=0.157250, batch loss=0.284743, epoch loss=2.365893 Batch=719, step=10320, lr=0.157000, batch loss=0.289420, epoch loss=2.655313 Batch=779, step=10380, lr=0.157000, batch loss=0.299435, epoch loss=2.954748 Batch=839, step=10440, lr=0.156750, batch loss=0.267723, epoch loss=3.222471 Batch=899, step=10500, lr=0.156250, batch loss=0.245735, epoch loss=3.468206 Batch=959, step=10560, lr=0.156250, batch loss=0.195568, epoch loss=3.663774 Batch=1019, step=10620, lr=0.155750, batch loss=0.287069, epoch loss=3.950843 Batch=1079, step=10680, lr=0.155500, batch loss=0.189414, epoch loss=4.140257 Batch=1139, step=10740, lr=0.155500, batch loss=0.200293, epoch loss=4.340549 Batch=1199, step=10800, lr=0.155000, batch loss=0.155302, epoch loss=4.495852 Epoch=8, step=10800, lr=0.155000, epoch loss=4.495852 Batch=59, step=10860, lr=0.154750, batch loss=0.179208, epoch loss=0.179208 Batch=119, step=10920, lr=0.154750, batch loss=0.151688, epoch loss=0.330897 Batch=179, step=10980, lr=0.154500, batch loss=0.167549, epoch loss=0.498446 Batch=239, step=11040, lr=0.154250, batch loss=0.242415, epoch loss=0.740861 Batch=299, step=11100, lr=0.154000, batch loss=0.174430, epoch loss=0.915290 Batch=359, step=11160, lr=0.153500, batch loss=0.220871, epoch loss=1.136162 Batch=419, step=11220, lr=0.153500, batch loss=0.220753, epoch loss=1.356915 Batch=479, step=11280, lr=0.153250, batch loss=0.210942, epoch loss=1.567856 Batch=539, step=11340, lr=0.153000, batch loss=0.159832, epoch loss=1.727688 Batch=599, step=11400, lr=0.152500, batch loss=0.178395, epoch loss=1.906083 Batch=659, step=11460, lr=0.152250, batch loss=0.268861, epoch loss=2.174944 Batch=719, step=11520, lr=0.152000, batch loss=0.260491, epoch loss=2.435435 Batch=779, step=11580, lr=0.152000, batch loss=0.277398, epoch loss=2.712833 Batch=839, step=11640, lr=0.151500, batch loss=0.256850, epoch loss=2.969683 Batch=899, step=11700, lr=0.151500, batch loss=0.215803, epoch loss=3.185486 Batch=959, step=11760, lr=0.151250, batch loss=0.167518, epoch loss=3.353004 Batch=1019, step=11820, lr=0.151000, batch loss=0.272465, epoch loss=3.625468 Batch=1079, step=11880, lr=0.150500, batch loss=0.145667, epoch loss=3.771135 Batch=1139, step=11940, lr=0.150500, batch loss=0.190354, epoch loss=3.961490 Batch=1199, step=12000, lr=0.150250, batch loss=0.140757, epoch loss=4.102247 Epoch=9, step=12000, lr=0.150250, epoch loss=4.102247 Batch=59, step=12060, lr=0.149750, batch loss=0.162991, epoch loss=0.162991 Batch=119, step=12120, lr=0.149500, batch loss=0.137378, epoch loss=0.300369 Batch=179, step=12180, lr=0.149250, batch loss=0.152777, epoch loss=0.453146 Batch=239, step=12240, lr=0.149250, batch loss=0.222398, epoch loss=0.675544 Batch=299, step=12300, lr=0.148750, batch loss=0.142868, epoch loss=0.818412 Batch=359, step=12360, lr=0.148500, batch loss=0.196978, epoch loss=1.015390 Batch=419, step=12420, lr=0.148250, batch loss=0.202237, epoch loss=1.217627 Batch=479, step=12480, lr=0.148000, batch loss=0.179892, epoch loss=1.397519 Batch=539, step=12540, lr=0.147750, batch loss=0.144647, epoch loss=1.542167 Batch=599, step=12600, lr=0.147500, batch loss=0.151517, epoch loss=1.693683 Batch=659, step=12660, lr=0.147250, batch loss=0.227989, epoch loss=1.921672 Batch=719, step=12720, lr=0.147000, batch loss=0.235939, epoch loss=2.157611 Batch=779, step=12780, lr=0.146750, batch loss=0.256103, epoch loss=2.413714 Batch=839, step=12840, lr=0.146750, batch loss=0.233924, epoch loss=2.647638 Batch=899, step=12900, lr=0.146500, batch loss=0.208990, epoch loss=2.856628 Batch=959, step=12960, lr=0.146250, batch loss=0.143877, epoch loss=3.000505 Batch=1019, step=13020, lr=0.146000, batch loss=0.249046, epoch loss=3.249551 Batch=1079, step=13080, lr=0.145500, batch loss=0.114911, epoch loss=3.364463 Batch=1139, step=13140, lr=0.145250, batch loss=0.149250, epoch loss=3.513712 Batch=1199, step=13200, lr=0.145000, batch loss=0.118413, epoch loss=3.632125 Epoch=10, step=13200, lr=0.145000, epoch loss=3.632125 Batch=59, step=13260, lr=0.144750, batch loss=0.141932, epoch loss=0.141932 Batch=119, step=13320, lr=0.144500, batch loss=0.123765, epoch loss=0.265697 Batch=179, step=13380, lr=0.144500, batch loss=0.130163, epoch loss=0.395859 Batch=239, step=13440, lr=0.144250, batch loss=0.191552, epoch loss=0.587411 Batch=299, step=13500, lr=0.143750, batch loss=0.113778, epoch loss=0.701189 Batch=359, step=13560, lr=0.143750, batch loss=0.165264, epoch loss=0.866453 Batch=419, step=13620, lr=0.143500, batch loss=0.163270, epoch loss=1.029723 Batch=479, step=13680, lr=0.143000, batch loss=0.147654, epoch loss=1.177378 Batch=539, step=13740, lr=0.143000, batch loss=0.120290, epoch loss=1.297667 Batch=599, step=13800, lr=0.142500, batch loss=0.122209, epoch loss=1.419876 Batch=659, step=13860, lr=0.142250, batch loss=0.179982, epoch loss=1.599858 Batch=719, step=13920, lr=0.142000, batch loss=0.176269, epoch loss=1.776127 Batch=779, step=13980, lr=0.141750, batch loss=0.191836, epoch loss=1.967963 Batch=839, step=14040, lr=0.141500, batch loss=0.193578, epoch loss=2.161540 Batch=899, step=14100, lr=0.141250, batch loss=0.200296, epoch loss=2.361836 Batch=959, step=14160, lr=0.141000, batch loss=0.122534, epoch loss=2.484370 Batch=1019, step=14220, lr=0.140750, batch loss=0.206871, epoch loss=2.691241 Batch=1079, step=14280, lr=0.140500, batch loss=0.080373, epoch loss=2.771614 Batch=1139, step=14340, lr=0.140250, batch loss=0.131553, epoch loss=2.903167 Batch=1199, step=14400, lr=0.140000, batch loss=0.090181, epoch loss=2.993348 Epoch=11, step=14400, lr=0.140000, epoch loss=2.993348 Batch=59, step=14460, lr=0.140000, batch loss=0.104106, epoch loss=0.104106 Batch=119, step=14520, lr=0.139500, batch loss=0.103424, epoch loss=0.207530 Batch=179, step=14580, lr=0.139250, batch loss=0.101430, epoch loss=0.308961 Batch=239, step=14640, lr=0.139000, batch loss=0.146075, epoch loss=0.455035 Batch=299, step=14700, lr=0.138750, batch loss=0.077838, epoch loss=0.532873 Batch=359, step=14760, lr=0.138500, batch loss=0.124042, epoch loss=0.656915 Batch=419, step=14820, lr=0.138250, batch loss=0.130980, epoch loss=0.787895 Batch=479, step=14880, lr=0.138250, batch loss=0.108405, epoch loss=0.896300 Batch=539, step=14940, lr=0.137750, batch loss=0.111480, epoch loss=1.007780 Batch=599, step=15000, lr=0.137500, batch loss=0.088450, epoch loss=1.096230 Batch=659, step=15060, lr=0.137250, batch loss=0.143800, epoch loss=1.240030 Batch=719, step=15120, lr=0.137000, batch loss=0.165536, epoch loss=1.405566 Batch=779, step=15180, lr=0.136750, batch loss=0.272445, epoch loss=1.678010 Batch=839, step=15240, lr=0.136750, batch loss=0.144202, epoch loss=1.822213 Batch=899, step=15300, lr=0.136500, batch loss=0.152626, epoch loss=1.974839 Batch=959, step=15360, lr=0.136000, batch loss=0.077300, epoch loss=2.052138 Batch=1019, step=15420, lr=0.135750, batch loss=0.170197, epoch loss=2.222335 Batch=1079, step=15480, lr=0.135750, batch loss=0.039449, epoch loss=2.261784 Batch=1139, step=15540, lr=0.135250, batch loss=0.097094, epoch loss=2.358878 Batch=1199, step=15600, lr=0.135250, batch loss=0.061582, epoch loss=2.420460 Epoch=12, step=15600, lr=0.135250, epoch loss=2.420460 Batch=59, step=15660, lr=0.134750, batch loss=0.093327, epoch loss=0.093327 Batch=119, step=15720, lr=0.134500, batch loss=0.156022, epoch loss=0.249349 Batch=179, step=15780, lr=0.134250, batch loss=0.110096, epoch loss=0.359445 Batch=239, step=15840, lr=0.134250, batch loss=0.107109, epoch loss=0.466553 Batch=299, step=15900, lr=0.133750, batch loss=0.050421, epoch loss=0.516974 Batch=359, step=15960, lr=0.133500, batch loss=0.101113, epoch loss=0.618087 Batch=419, step=16020, lr=0.133250, batch loss=0.084260, epoch loss=0.702348 Batch=479, step=16080, lr=0.133000, batch loss=0.059001, epoch loss=0.761349 Batch=539, step=16140, lr=0.132750, batch loss=0.071195, epoch loss=0.832544 Batch=599, step=16200, lr=0.132500, batch loss=0.158069, epoch loss=0.990612 Batch=659, step=16260, lr=0.132250, batch loss=0.098892, epoch loss=1.089504 Batch=719, step=16320, lr=0.132000, batch loss=0.120303, epoch loss=1.209807 Batch=779, step=16380, lr=0.132000, batch loss=0.246076, epoch loss=1.455883 Batch=839, step=16440, lr=0.131750, batch loss=0.093149, epoch loss=1.549031 Batch=899, step=16500, lr=0.131250, batch loss=0.076386, epoch loss=1.625417 Batch=959, step=16560, lr=0.131000, batch loss=0.041686, epoch loss=1.667103 Batch=1019, step=16620, lr=0.131000, batch loss=0.096986, epoch loss=1.764089 Batch=1079, step=16680, lr=0.130500, batch loss=0.035776, epoch loss=1.799866 Batch=1139, step=16740, lr=0.130250, batch loss=0.075868, epoch loss=1.875734 Batch=1199, step=16800, lr=0.130000, batch loss=0.036371, epoch loss=1.912105 Epoch=13, step=16800, lr=0.130000, epoch loss=1.912105 Batch=59, step=16860, lr=0.129750, batch loss=0.037055, epoch loss=0.037055 Batch=119, step=16920, lr=0.129500, batch loss=0.037851, epoch loss=0.074906 Batch=179, step=16980, lr=0.129250, batch loss=0.044746, epoch loss=0.119652 Batch=239, step=17040, lr=0.129250, batch loss=0.058429, epoch loss=0.178082 Batch=299, step=17100, lr=0.128750, batch loss=0.020815, epoch loss=0.198897 Batch=359, step=17160, lr=0.128500, batch loss=0.045782, epoch loss=0.244679 Batch=419, step=17220, lr=0.128500, batch loss=0.064133, epoch loss=0.308812 Batch=479, step=17280, lr=0.128000, batch loss=0.026723, epoch loss=0.335535 Batch=539, step=17340, lr=0.127750, batch loss=0.029421, epoch loss=0.364956 Batch=599, step=17400, lr=0.127750, batch loss=0.035027, epoch loss=0.399983 Batch=659, step=17460, lr=0.127250, batch loss=0.048956, epoch loss=0.448939 Batch=719, step=17520, lr=0.127000, batch loss=0.064279, epoch loss=0.513218 Batch=779, step=17580, lr=0.127000, batch loss=0.084262, epoch loss=0.597480 Batch=839, step=17640, lr=0.126500, batch loss=0.180019, epoch loss=0.777499 Batch=899, step=17700, lr=0.126500, batch loss=0.063113, epoch loss=0.840612 Batch=959, step=17760, lr=0.126000, batch loss=0.022479, epoch loss=0.863091 Batch=1019, step=17820, lr=0.125750, batch loss=0.035447, epoch loss=0.898538 Batch=1079, step=17880, lr=0.125750, batch loss=0.019566, epoch loss=0.918104 Batch=1139, step=17940, lr=0.125500, batch loss=0.043969, epoch loss=0.962073 Batch=1199, step=18000, lr=0.125000, batch loss=0.018065, epoch loss=0.980138 Epoch=14, step=18000, lr=0.125000, epoch loss=0.980138 Batch=59, step=18060, lr=0.125000, batch loss=0.015502, epoch loss=0.015502 Batch=119, step=18120, lr=0.124500, batch loss=0.025311, epoch loss=0.040813 Batch=179, step=18180, lr=0.124250, batch loss=0.030751, epoch loss=0.071564 Batch=239, step=18240, lr=0.124000, batch loss=0.036490, epoch loss=0.108055 Batch=299, step=18300, lr=0.123750, batch loss=0.010127, epoch loss=0.118181 Batch=359, step=18360, lr=0.123500, batch loss=0.027014, epoch loss=0.145196 Batch=419, step=18420, lr=0.123500, batch loss=0.031437, epoch loss=0.176633 Batch=479, step=18480, lr=0.123000, batch loss=0.019749, epoch loss=0.196382 Batch=539, step=18540, lr=0.123000, batch loss=0.029407, epoch loss=0.225789 Batch=599, step=18600, lr=0.122750, batch loss=0.026380, epoch loss=0.252169 Batch=659, step=18660, lr=0.122250, batch loss=0.035715, epoch loss=0.287884 Batch=719, step=18720, lr=0.122250, batch loss=0.041512, epoch loss=0.329396 Batch=779, step=18780, lr=0.121750, batch loss=0.116055, epoch loss=0.445451 Batch=839, step=18840, lr=0.121500, batch loss=0.062629, epoch loss=0.508080 Batch=899, step=18900, lr=0.121250, batch loss=0.085080, epoch loss=0.593159 Batch=959, step=18960, lr=0.121000, batch loss=0.014897, epoch loss=0.608057 Batch=1019, step=19020, lr=0.120750, batch loss=0.018058, epoch loss=0.626115 Batch=1079, step=19080, lr=0.120500, batch loss=0.008041, epoch loss=0.634156 Batch=1139, step=19140, lr=0.120500, batch loss=0.025406, epoch loss=0.659562 Batch=1199, step=19200, lr=0.120000, batch loss=0.010568, epoch loss=0.670131 Epoch=15, step=19200, lr=0.120000, epoch loss=0.670131 Batch=59, step=19260, lr=0.119750, batch loss=0.005296, epoch loss=0.005296 Batch=119, step=19320, lr=0.119500, batch loss=0.021126, epoch loss=0.026422 Batch=179, step=19380, lr=0.119500, batch loss=0.051819, epoch loss=0.078241 Batch=239, step=19440, lr=0.119000, batch loss=0.024891, epoch loss=0.103133 Batch=299, step=19500, lr=0.119000, batch loss=0.016050, epoch loss=0.119183 Batch=359, step=19560, lr=0.118500, batch loss=0.035946, epoch loss=0.155129 Batch=419, step=19620, lr=0.118250, batch loss=0.021874, epoch loss=0.177003 Batch=479, step=19680, lr=0.118000, batch loss=0.008988, epoch loss=0.185991 Batch=539, step=19740, lr=0.117750, batch loss=0.018286, epoch loss=0.204278 Batch=599, step=19800, lr=0.117500, batch loss=0.023744, epoch loss=0.228021 Batch=659, step=19860, lr=0.117250, batch loss=0.020369, epoch loss=0.248390 Batch=719, step=19920, lr=0.117250, batch loss=0.058384, epoch loss=0.306774 Batch=779, step=19980, lr=0.117000, batch loss=0.079414, epoch loss=0.386188 Batch=839, step=20040, lr=0.116750, batch loss=0.031759, epoch loss=0.417947 Batch=899, step=20100, lr=0.116500, batch loss=0.035960, epoch loss=0.453907 Batch=959, step=20160, lr=0.116000, batch loss=0.011400, epoch loss=0.465307 Batch=1019, step=20220, lr=0.115750, batch loss=0.014950, epoch loss=0.480257 Batch=1079, step=20280, lr=0.115500, batch loss=0.002944, epoch loss=0.483201 Batch=1139, step=20340, lr=0.115250, batch loss=0.015548, epoch loss=0.498750 Batch=1199, step=20400, lr=0.115250, batch loss=0.005829, epoch loss=0.504579 Epoch=16, step=20400, lr=0.115250, epoch loss=0.504579 Batch=59, step=20460, lr=0.114750, batch loss=0.003389, epoch loss=0.003389 Batch=119, step=20520, lr=0.114500, batch loss=0.012230, epoch loss=0.015619 Batch=179, step=20580, lr=0.114500, batch loss=0.025663, epoch loss=0.041282 Batch=239, step=20640, lr=0.114000, batch loss=0.015129, epoch loss=0.056411 Batch=299, step=20700, lr=0.113750, batch loss=0.003573, epoch loss=0.059984 Batch=359, step=20760, lr=0.113750, batch loss=0.014785, epoch loss=0.074770 Batch=419, step=20820, lr=0.113250, batch loss=0.015475, epoch loss=0.090245 Batch=479, step=20880, lr=0.113000, batch loss=0.005416, epoch loss=0.095661 Batch=539, step=20940, lr=0.112750, batch loss=0.016225, epoch loss=0.111886 Batch=599, step=21000, lr=0.112500, batch loss=0.019500, epoch loss=0.131386 Batch=659, step=21060, lr=0.112250, batch loss=0.014315, epoch loss=0.145701 Batch=719, step=21120, lr=0.112000, batch loss=0.042211, epoch loss=0.187912 Batch=779, step=21180, lr=0.111750, batch loss=0.074556, epoch loss=0.262468 Batch=839, step=21240, lr=0.111750, batch loss=0.027097, epoch loss=0.289564 Batch=899, step=21300, lr=0.111250, batch loss=0.028353, epoch loss=0.317918 Batch=959, step=21360, lr=0.111250, batch loss=0.010325, epoch loss=0.328243 Batch=1019, step=21420, lr=0.111000, batch loss=0.010453, epoch loss=0.338696 Batch=1079, step=21480, lr=0.110500, batch loss=0.002562, epoch loss=0.341259 Batch=1139, step=21540, lr=0.110250, batch loss=0.013542, epoch loss=0.354800 Batch=1199, step=21600, lr=0.110250, batch loss=0.005439, epoch loss=0.360239 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360239 Batch=59, step=21660, lr=0.110000, batch loss=0.002593, epoch loss=0.002593 Batch=119, step=21720, lr=0.109500, batch loss=0.007130, epoch loss=0.009724 Batch=179, step=21780, lr=0.109250, batch loss=0.013572, epoch loss=0.023296 Batch=239, step=21840, lr=0.109250, batch loss=0.009837, epoch loss=0.033133 Batch=299, step=21900, lr=0.109000, batch loss=0.011828, epoch loss=0.044961 Batch=359, step=21960, lr=0.108500, batch loss=0.014183, epoch loss=0.059144 Batch=419, step=22020, lr=0.108500, batch loss=0.013173, epoch loss=0.072317 Batch=479, step=22080, lr=0.108250, batch loss=0.003345, epoch loss=0.075662 Batch=539, step=22140, lr=0.108000, batch loss=0.015789, epoch loss=0.091452 Batch=599, step=22200, lr=0.107750, batch loss=0.016481, epoch loss=0.107932 Batch=659, step=22260, lr=0.107250, batch loss=0.014317, epoch loss=0.122249 Batch=719, step=22320, lr=0.107000, batch loss=0.032145, epoch loss=0.154394 Batch=779, step=22380, lr=0.106750, batch loss=0.042056, epoch loss=0.196450 Batch=839, step=22440, lr=0.106750, batch loss=0.022746, epoch loss=0.219197 Batch=899, step=22500, lr=0.106250, batch loss=0.022364, epoch loss=0.241560 Batch=959, step=22560, lr=0.106000, batch loss=0.011373, epoch loss=0.252933 Batch=1019, step=22620, lr=0.105750, batch loss=0.009951, epoch loss=0.262884 Batch=1079, step=22680, lr=0.105500, batch loss=0.000414, epoch loss=0.263298 Batch=1139, step=22740, lr=0.105250, batch loss=0.011018, epoch loss=0.274316 Batch=1199, step=22800, lr=0.105250, batch loss=0.004339, epoch loss=0.278654 Epoch=18, step=22800, lr=0.105250, epoch loss=0.278654 Batch=59, step=22860, lr=0.105000, batch loss=0.001650, epoch loss=0.001650 Batch=119, step=22920, lr=0.104750, batch loss=0.005664, epoch loss=0.007313 Batch=179, step=22980, lr=0.104250, batch loss=0.011200, epoch loss=0.018513 Batch=239, step=23040, lr=0.104250, batch loss=0.008486, epoch loss=0.026999 Batch=299, step=23100, lr=0.104000, batch loss=0.008521, epoch loss=0.035520 Batch=359, step=23160, lr=0.103750, batch loss=0.012035, epoch loss=0.047554 Batch=419, step=23220, lr=0.103250, batch loss=0.010944, epoch loss=0.058498 Batch=479, step=23280, lr=0.103250, batch loss=0.002514, epoch loss=0.061012 Batch=539, step=23340, lr=0.102750, batch loss=0.016988, epoch loss=0.077999 Batch=599, step=23400, lr=0.102500, batch loss=0.014285, epoch loss=0.092284 Batch=659, step=23460, lr=0.102250, batch loss=0.010600, epoch loss=0.102884 Batch=719, step=23520, lr=0.102000, batch loss=0.017243, epoch loss=0.120127 Batch=779, step=23580, lr=0.101750, batch loss=0.022521, epoch loss=0.142648 Batch=839, step=23640, lr=0.101500, batch loss=0.025103, epoch loss=0.167751 Batch=899, step=23700, lr=0.101250, batch loss=0.024567, epoch loss=0.192318 Batch=959, step=23760, lr=0.101000, batch loss=0.008282, epoch loss=0.200599 Batch=1019, step=23820, lr=0.101000, batch loss=0.007819, epoch loss=0.208418 Batch=1079, step=23880, lr=0.100750, batch loss=0.000864, epoch loss=0.209282 Batch=1139, step=23940, lr=0.100500, batch loss=0.009121, epoch loss=0.218403 Batch=1199, step=24000, lr=0.100250, batch loss=0.004650, epoch loss=0.223054 Epoch=19, step=24000, lr=0.100250, epoch loss=0.223054 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-22 15:30.59 ---> saved as "9842317686e56f56175167b13e01c7cfada5cb42541acaf5b8ceb8d7c6a0568b" Job succeeded 2025-03-22 15:31.00: Job succeeded