2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (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 15116260 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d # debian-12-5.3_ppc64_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 16:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 16:19.55: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) (comment debian-12-5.3_ppc64_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 16:19.55: Waiting for resource in pool OCluster 2025-03-21 16:19.55: Waiting for worker… 2025-03-21 16:19.55: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions (from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d' locally docker.io/ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d: Pulling from ocaml/opam Digest: sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Status: Downloaded newer image for ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d 2025-03-21 16:19.57 ---> using "f3507cfdd9cda6c78222b1c8f3d9d43d96f1c1996e9ce4244e4686d98b61ddea" from cache /: (comment debian-12-5.3_ppc64_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 16:19.57 ---> using "168c19cef79c05107b538c528fc3d832750d5bdbc3a7b41711e551bb0d81ac6c" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 16:19.57 ---> using "487dda2baaa2465ab82cf99926f729a3b76add6939c52a1d289f6ad7f6b0925b" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 16:19.57 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:19.57 ---> using "f0c24e2883a704076675cde5e8701aeb7f9a6cf487764304401841caf4880948" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:19.57 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:19.57 ---> using "93903239a2543bd20dc18927cc0a4700513f22d2108f3ef0eedee7d2bc6bb6c8" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 16:19.57 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:19.57 ---> using "f7f08e76359f535d1ca6a8f37927ce04b2434ecd1c5e1e6ef7fb900fe2813f98" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [235 kB] - Fetched 9119 kB in 2s (5585 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:ppc64el. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18718 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u9) ... 2025-03-21 16:19.57 ---> using "7f56bc83e52c7303e6b0b613be6c58b926d6986fb422146f4e92f22b56e295da" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:19.57 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-21 16:20.01 ---> saved as "aa20454a40a774ef0cb3f6013ea47117d8b6ef5fecd738cba2b41deb65bcb865" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/4500c0c4741a70bae559f7924b410d7c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bc4ee0d272c5ed98ba094123dea9cff2/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/bc4ee0d272c5ed98ba094123dea9cff2/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=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.856726, epoch loss=35.627545 Batch=299, step=300, lr=0.198750, batch loss=1.435283, epoch loss=37.062828 Batch=359, step=360, lr=0.198500, batch loss=1.338830, epoch loss=38.401658 Batch=419, step=420, lr=0.198250, batch loss=0.611205, epoch loss=39.012864 Batch=479, step=480, lr=0.198000, batch loss=0.746528, epoch loss=39.759392 Batch=539, step=540, lr=0.198000, batch loss=0.689753, epoch loss=40.449145 Batch=599, step=600, lr=0.197500, batch loss=1.103361, epoch loss=41.552506 Batch=659, step=660, lr=0.197250, batch loss=0.481714, epoch loss=42.034220 Batch=719, step=720, lr=0.197250, batch loss=0.410764, epoch loss=42.444984 Batch=779, step=780, lr=0.196750, batch loss=0.469625, epoch loss=42.914610 Batch=839, step=840, lr=0.196500, batch loss=0.450398, epoch loss=43.365007 Batch=899, step=900, lr=0.196500, batch loss=0.383686, epoch loss=43.748693 Batch=959, step=960, lr=0.196250, batch loss=0.268991, epoch loss=44.017684 Batch=1019, step=1020, lr=0.196000, batch loss=0.486598, epoch loss=44.504282 Batch=1079, step=1080, lr=0.195500, batch loss=0.266513, epoch loss=44.770795 Batch=1139, step=1140, lr=0.195500, batch loss=0.329933, epoch loss=45.100728 Batch=1199, step=1200, lr=0.195000, batch loss=0.263859, epoch loss=45.364586 Epoch=0, step=1200, lr=0.195000, epoch loss=45.364586 Batch=59, step=1260, lr=0.195000, batch loss=0.263759, epoch loss=0.263759 Batch=119, step=1320, lr=0.194750, batch loss=0.203797, epoch loss=0.467555 Batch=179, step=1380, lr=0.194500, batch loss=0.245749, epoch loss=0.713305 Batch=239, step=1440, lr=0.194000, batch loss=0.349737, epoch loss=1.063042 Batch=299, step=1500, lr=0.194000, batch loss=0.239291, epoch loss=1.302333 Batch=359, step=1560, lr=0.193750, batch loss=0.314954, epoch loss=1.617286 Batch=419, step=1620, lr=0.193250, batch loss=0.312374, epoch loss=1.929660 Batch=479, step=1680, lr=0.193000, batch loss=0.276988, epoch loss=2.206648 Batch=539, step=1740, lr=0.192750, batch loss=0.209894, epoch loss=2.416542 Batch=599, step=1800, lr=0.192500, batch loss=0.246557, epoch loss=2.663099 Batch=659, step=1860, lr=0.192250, batch loss=0.362748, epoch loss=3.025847 Batch=719, step=1920, lr=0.192250, batch loss=0.356065, epoch loss=3.381912 Batch=779, step=1980, lr=0.191750, batch loss=0.381777, epoch loss=3.763689 Batch=839, step=2040, lr=0.191750, batch loss=0.341986, epoch loss=4.105675 Batch=899, step=2100, lr=0.191500, batch loss=0.296735, epoch loss=4.402410 Batch=959, step=2160, lr=0.191000, batch loss=0.214253, epoch loss=4.616663 Batch=1019, step=2220, lr=0.191000, batch loss=0.332960, epoch loss=4.949624 Batch=1079, step=2280, lr=0.190750, batch loss=0.208721, epoch loss=5.158345 Batch=1139, step=2340, lr=0.190500, batch loss=0.270908, epoch loss=5.429253 Batch=1199, step=2400, lr=0.190250, batch loss=0.220140, epoch loss=5.649393 Epoch=1, step=2400, lr=0.190250, epoch loss=5.649393 Batch=59, step=2460, lr=0.190000, batch loss=0.230466, epoch loss=0.230466 Batch=119, step=2520, lr=0.189750, batch loss=0.198939, epoch loss=0.429405 Batch=179, step=2580, lr=0.189500, batch loss=0.220717, epoch loss=0.650122 Batch=239, step=2640, lr=0.189000, batch loss=0.329039, epoch loss=0.979160 Batch=299, step=2700, lr=0.189000, batch loss=0.207916, epoch loss=1.187076 Batch=359, step=2760, lr=0.188500, batch loss=0.294090, epoch loss=1.481166 Batch=419, step=2820, lr=0.188500, batch loss=0.282061, epoch loss=1.763227 Batch=479, step=2880, lr=0.188250, batch loss=0.256021, epoch loss=2.019248 Batch=539, step=2940, lr=0.187750, batch loss=0.197310, epoch loss=2.216559 Batch=599, step=3000, lr=0.187500, batch loss=0.241079, epoch loss=2.457637 Batch=659, step=3060, lr=0.187250, batch loss=0.348825, epoch loss=2.806462 Batch=719, step=3120, lr=0.187250, batch loss=0.347104, epoch loss=3.153567 Batch=779, step=3180, lr=0.187000, batch loss=0.366957, epoch loss=3.520523 Batch=839, step=3240, lr=0.186750, batch loss=0.323723, epoch loss=3.844247 Batch=899, step=3300, lr=0.186500, batch loss=0.287366, epoch loss=4.131613 Batch=959, step=3360, lr=0.186250, batch loss=0.212519, epoch loss=4.344132 Batch=1019, step=3420, lr=0.185750, batch loss=0.308329, epoch loss=4.652462 Batch=1079, step=3480, lr=0.185750, batch loss=0.186355, epoch loss=4.838817 Batch=1139, step=3540, lr=0.185500, batch loss=0.232113, epoch loss=5.070929 Batch=1199, step=3600, lr=0.185250, batch loss=0.199150, epoch loss=5.270079 Epoch=2, step=3600, lr=0.185250, epoch loss=5.270079 Batch=59, step=3660, lr=0.185000, batch loss=0.228115, epoch loss=0.228115 Batch=119, step=3720, lr=0.184750, batch loss=0.195710, epoch loss=0.423825 Batch=179, step=3780, lr=0.184500, batch loss=0.212160, epoch loss=0.635985 Batch=239, step=3840, lr=0.184000, batch loss=0.318392, epoch loss=0.954376 Batch=299, step=3900, lr=0.183750, batch loss=0.208233, epoch loss=1.162609 Batch=359, step=3960, lr=0.183750, batch loss=0.291277, epoch loss=1.453886 Batch=419, step=4020, lr=0.183500, batch loss=0.291345, epoch loss=1.745232 Batch=479, step=4080, lr=0.183000, batch loss=0.259926, epoch loss=2.005158 Batch=539, step=4140, lr=0.183000, batch loss=0.196718, epoch loss=2.201876 Batch=599, step=4200, lr=0.182500, batch loss=0.244971, epoch loss=2.446846 Batch=659, step=4260, lr=0.182250, batch loss=0.327605, epoch loss=2.774451 Batch=719, step=4320, lr=0.182000, batch loss=0.326622, epoch loss=3.101073 Batch=779, step=4380, lr=0.181750, batch loss=0.352921, epoch loss=3.453994 Batch=839, step=4440, lr=0.181500, batch loss=0.317755, epoch loss=3.771749 Batch=899, step=4500, lr=0.181500, batch loss=0.286706, epoch loss=4.058455 Batch=959, step=4560, lr=0.181000, batch loss=0.253947, epoch loss=4.312402 Batch=1019, step=4620, lr=0.181000, batch loss=0.374523, epoch loss=4.686925 Batch=1079, step=4680, lr=0.180500, batch loss=0.215634, epoch loss=4.902560 Batch=1139, step=4740, lr=0.180250, batch loss=0.250390, epoch loss=5.152950 Batch=1199, step=4800, lr=0.180000, batch loss=0.192209, epoch loss=5.345159 Epoch=3, step=4800, lr=0.180000, epoch loss=5.345159 Batch=59, step=4860, lr=0.180000, batch loss=0.224303, epoch loss=0.224303 Batch=119, step=4920, lr=0.179500, batch loss=0.187824, epoch loss=0.412126 Batch=179, step=4980, lr=0.179500, batch loss=0.206191, epoch loss=0.618317 Batch=239, step=5040, lr=0.179000, batch loss=0.311285, epoch loss=0.929602 Batch=299, step=5100, lr=0.178750, batch loss=0.210885, epoch loss=1.140487 Batch=359, step=5160, lr=0.178500, batch loss=0.281507, epoch loss=1.421994 Batch=419, step=5220, lr=0.178250, batch loss=0.277428, epoch loss=1.699422 Batch=479, step=5280, lr=0.178000, batch loss=0.245581, epoch loss=1.945003 Batch=539, step=5340, lr=0.178000, batch loss=0.190436, epoch loss=2.135439 Batch=599, step=5400, lr=0.177750, batch loss=0.231558, epoch loss=2.366997 Batch=659, step=5460, lr=0.177500, batch loss=0.324338, epoch loss=2.691335 Batch=719, step=5520, lr=0.177250, batch loss=0.325774, epoch loss=3.017109 Batch=779, step=5580, lr=0.177000, batch loss=0.339837, epoch loss=3.356945 Batch=839, step=5640, lr=0.176750, batch loss=0.313772, epoch loss=3.670717 Batch=899, step=5700, lr=0.176500, batch loss=0.273023, epoch loss=3.943741 Batch=959, step=5760, lr=0.176250, batch loss=0.217805, epoch loss=4.161545 Batch=1019, step=5820, lr=0.176000, batch loss=0.336031, epoch loss=4.497576 Batch=1079, step=5880, lr=0.175750, batch loss=0.191785, epoch loss=4.689362 Batch=1139, step=5940, lr=0.175250, batch loss=0.225096, epoch loss=4.914458 Batch=1199, step=6000, lr=0.175250, batch loss=0.189575, epoch loss=5.104033 Epoch=4, step=6000, lr=0.175250, epoch loss=5.104033 Batch=59, step=6060, lr=0.174750, batch loss=0.237823, epoch loss=0.237823 Batch=119, step=6120, lr=0.174750, batch loss=0.190203, epoch loss=0.428026 Batch=179, step=6180, lr=0.174500, batch loss=0.201667, epoch loss=0.629692 Batch=239, step=6240, lr=0.174250, batch loss=0.299716, epoch loss=0.929409 Batch=299, step=6300, lr=0.173750, batch loss=0.198434, epoch loss=1.127843 Batch=359, step=6360, lr=0.173750, batch loss=0.265356, epoch loss=1.393198 Batch=419, step=6420, lr=0.173500, batch loss=0.259805, epoch loss=1.653003 Batch=479, step=6480, lr=0.173250, batch loss=0.234877, epoch loss=1.887880 Batch=539, step=6540, lr=0.173000, batch loss=0.190082, epoch loss=2.077962 Batch=599, step=6600, lr=0.172750, batch loss=0.232903, epoch loss=2.310865 Batch=659, step=6660, lr=0.172500, batch loss=0.314361, epoch loss=2.625226 Batch=719, step=6720, lr=0.172250, batch loss=0.317516, epoch loss=2.942742 Batch=779, step=6780, lr=0.172000, batch loss=0.330000, epoch loss=3.272742 Batch=839, step=6840, lr=0.171500, batch loss=0.306758, epoch loss=3.579500 Batch=899, step=6900, lr=0.171500, batch loss=0.269113, epoch loss=3.848613 Batch=959, step=6960, lr=0.171250, batch loss=0.208514, epoch loss=4.057127 Batch=1019, step=7020, lr=0.171000, batch loss=0.331118, epoch loss=4.388245 Batch=1079, step=7080, lr=0.170750, batch loss=0.183481, epoch loss=4.571726 Batch=1139, step=7140, lr=0.170500, batch loss=0.216811, epoch loss=4.788536 Batch=1199, step=7200, lr=0.170250, batch loss=0.182657, epoch loss=4.971194 Epoch=5, step=7200, lr=0.170250, epoch loss=4.971194 Batch=59, step=7260, lr=0.170000, batch loss=0.238676, epoch loss=0.238676 Batch=119, step=7320, lr=0.169750, batch loss=0.181815, epoch loss=0.420490 Batch=179, step=7380, lr=0.169500, batch loss=0.195549, epoch loss=0.616039 Batch=239, step=7440, lr=0.169000, batch loss=0.291081, epoch loss=0.907120 Batch=299, step=7500, lr=0.168750, batch loss=0.209785, epoch loss=1.116904 Batch=359, step=7560, lr=0.168750, batch loss=0.263224, epoch loss=1.380128 Batch=419, step=7620, lr=0.168250, batch loss=0.254682, epoch loss=1.634810 Batch=479, step=7680, lr=0.168000, batch loss=0.233204, epoch loss=1.868015 Batch=539, step=7740, lr=0.168000, batch loss=0.185478, epoch loss=2.053493 Batch=599, step=7800, lr=0.167500, batch loss=0.225973, epoch loss=2.279465 Batch=659, step=7860, lr=0.167250, batch loss=0.306190, epoch loss=2.585655 Batch=719, step=7920, lr=0.167000, batch loss=0.308757, epoch loss=2.894413 Batch=779, step=7980, lr=0.166750, batch loss=0.322455, epoch loss=3.216867 Batch=839, step=8040, lr=0.166500, batch loss=0.297621, epoch loss=3.514488 Batch=899, step=8100, lr=0.166250, batch loss=0.264358, epoch loss=3.778847 Batch=959, step=8160, lr=0.166250, batch loss=0.212268, epoch loss=3.991115 Batch=1019, step=8220, lr=0.166000, batch loss=0.316508, epoch loss=4.307623 Batch=1079, step=8280, lr=0.165750, batch loss=0.174978, epoch loss=4.482601 Batch=1139, step=8340, lr=0.165250, batch loss=0.208766, epoch loss=4.691367 Batch=1199, step=8400, lr=0.165250, batch loss=0.176534, epoch loss=4.867901 Epoch=6, step=8400, lr=0.165250, epoch loss=4.867901 Batch=59, step=8460, lr=0.165000, batch loss=0.224133, epoch loss=0.224133 Batch=119, step=8520, lr=0.164750, batch loss=0.179310, epoch loss=0.403443 Batch=179, step=8580, lr=0.164500, batch loss=0.187769, epoch loss=0.591212 Batch=239, step=8640, lr=0.164250, batch loss=0.277122, epoch loss=0.868334 Batch=299, step=8700, lr=0.163750, batch loss=0.192956, epoch loss=1.061290 Batch=359, step=8760, lr=0.163750, batch loss=0.248088, epoch loss=1.309378 Batch=419, step=8820, lr=0.163250, batch loss=0.244514, epoch loss=1.553892 Batch=479, step=8880, lr=0.163000, batch loss=0.230285, epoch loss=1.784177 Batch=539, step=8940, lr=0.162750, batch loss=0.177850, epoch loss=1.962027 Batch=599, step=9000, lr=0.162750, batch loss=0.219893, epoch loss=2.181921 Batch=659, step=9060, lr=0.162500, batch loss=0.293453, epoch loss=2.475373 Batch=719, step=9120, lr=0.162000, batch loss=0.295552, epoch loss=2.770925 Batch=779, step=9180, lr=0.162000, batch loss=0.315042, epoch loss=3.085967 Batch=839, step=9240, lr=0.161500, batch loss=0.287657, epoch loss=3.373624 Batch=899, step=9300, lr=0.161500, batch loss=0.250312, epoch loss=3.623936 Batch=959, step=9360, lr=0.161250, batch loss=0.191888, epoch loss=3.815824 Batch=1019, step=9420, lr=0.160750, batch loss=0.316099, epoch loss=4.131923 Batch=1079, step=9480, lr=0.160500, batch loss=0.191226, epoch loss=4.323149 Batch=1139, step=9540, lr=0.160250, batch loss=0.211875, epoch loss=4.535024 Batch=1199, step=9600, lr=0.160000, batch loss=0.166335, epoch loss=4.701359 Epoch=7, step=9600, lr=0.160000, epoch loss=4.701359 Batch=59, step=9660, lr=0.159750, batch loss=0.200616, epoch loss=0.200616 Batch=119, step=9720, lr=0.159750, batch loss=0.163698, epoch loss=0.364313 Batch=179, step=9780, lr=0.159250, batch loss=0.178110, epoch loss=0.542423 Batch=239, step=9840, lr=0.159000, batch loss=0.262479, epoch loss=0.804902 Batch=299, step=9900, lr=0.159000, batch loss=0.182075, epoch loss=0.986977 Batch=359, step=9960, lr=0.158750, batch loss=0.243696, epoch loss=1.230673 Batch=419, step=10020, lr=0.158500, batch loss=0.237585, epoch loss=1.468258 Batch=479, step=10080, lr=0.158000, batch loss=0.229116, epoch loss=1.697374 Batch=539, step=10140, lr=0.158000, batch loss=0.186253, epoch loss=1.883627 Batch=599, step=10200, lr=0.157750, batch loss=0.205374, epoch loss=2.089000 Batch=659, step=10260, lr=0.157500, batch loss=0.281601, epoch loss=2.370601 Batch=719, step=10320, lr=0.157250, batch loss=0.283464, epoch loss=2.654065 Batch=779, step=10380, lr=0.157000, batch loss=0.295106, epoch loss=2.949171 Batch=839, step=10440, lr=0.156750, batch loss=0.273000, epoch loss=3.222171 Batch=899, step=10500, lr=0.156500, batch loss=0.236316, epoch loss=3.458487 Batch=959, step=10560, lr=0.156250, batch loss=0.179169, epoch loss=3.637656 Batch=1019, step=10620, lr=0.155750, batch loss=0.296165, epoch loss=3.933821 Batch=1079, step=10680, lr=0.155750, batch loss=0.178564, epoch loss=4.112385 Batch=1139, step=10740, lr=0.155500, batch loss=0.206045, epoch loss=4.318430 Batch=1199, step=10800, lr=0.155000, batch loss=0.154863, epoch loss=4.473293 Epoch=8, step=10800, lr=0.155000, epoch loss=4.473293 Batch=59, step=10860, lr=0.154750, batch loss=0.175710, epoch loss=0.175710 Batch=119, step=10920, lr=0.154500, batch loss=0.143568, epoch loss=0.319278 Batch=179, step=10980, lr=0.154500, batch loss=0.165455, epoch loss=0.484733 Batch=239, step=11040, lr=0.154250, batch loss=0.240621, epoch loss=0.725354 Batch=299, step=11100, lr=0.154000, batch loss=0.171934, epoch loss=0.897288 Batch=359, step=11160, lr=0.153750, batch loss=0.222227, epoch loss=1.119515 Batch=419, step=11220, lr=0.153500, batch loss=0.229729, epoch loss=1.349244 Batch=479, step=11280, lr=0.153000, batch loss=0.201721, epoch loss=1.550966 Batch=539, step=11340, lr=0.153000, batch loss=0.160544, epoch loss=1.711510 Batch=599, step=11400, lr=0.152750, batch loss=0.183648, epoch loss=1.895158 Batch=659, step=11460, lr=0.152500, batch loss=0.265200, epoch loss=2.160358 Batch=719, step=11520, lr=0.152250, batch loss=0.251601, epoch loss=2.411959 Batch=779, step=11580, lr=0.152000, batch loss=0.273159, epoch loss=2.685119 Batch=839, step=11640, lr=0.151500, batch loss=0.254658, epoch loss=2.939777 Batch=899, step=11700, lr=0.151250, batch loss=0.212137, epoch loss=3.151914 Batch=959, step=11760, lr=0.151250, batch loss=0.170190, epoch loss=3.322104 Batch=1019, step=11820, lr=0.151000, batch loss=0.263387, epoch loss=3.585491 Batch=1079, step=11880, lr=0.150750, batch loss=0.143357, epoch loss=3.728848 Batch=1139, step=11940, lr=0.150500, batch loss=0.183257, epoch loss=3.912106 Batch=1199, step=12000, lr=0.150250, batch loss=0.139035, epoch loss=4.051140 Epoch=9, step=12000, lr=0.150250, epoch loss=4.051140 Batch=59, step=12060, lr=0.150000, batch loss=0.158957, epoch loss=0.158957 Batch=119, step=12120, lr=0.149500, batch loss=0.128238, epoch loss=0.287195 Batch=179, step=12180, lr=0.149250, batch loss=0.152830, epoch loss=0.440025 Batch=239, step=12240, lr=0.149250, batch loss=0.218648, epoch loss=0.658673 Batch=299, step=12300, lr=0.149000, batch loss=0.140988, epoch loss=0.799661 Batch=359, step=12360, lr=0.148500, batch loss=0.194831, epoch loss=0.994492 Batch=419, step=12420, lr=0.148500, batch loss=0.206067, epoch loss=1.200560 Batch=479, step=12480, lr=0.148250, batch loss=0.179001, epoch loss=1.379561 Batch=539, step=12540, lr=0.147750, batch loss=0.142137, epoch loss=1.521698 Batch=599, step=12600, lr=0.147750, batch loss=0.150809, epoch loss=1.672507 Batch=659, step=12660, lr=0.147250, batch loss=0.223830, epoch loss=1.896337 Batch=719, step=12720, lr=0.147000, batch loss=0.234314, epoch loss=2.130651 Batch=779, step=12780, lr=0.147000, batch loss=0.252659, epoch loss=2.383310 Batch=839, step=12840, lr=0.146500, batch loss=0.224308, epoch loss=2.607618 Batch=899, step=12900, lr=0.146500, batch loss=0.188378, epoch loss=2.795997 Batch=959, step=12960, lr=0.146250, batch loss=0.165685, epoch loss=2.961682 Batch=1019, step=13020, lr=0.146000, batch loss=0.269697, epoch loss=3.231379 Batch=1079, step=13080, lr=0.145750, batch loss=0.111461, epoch loss=3.342840 Batch=1139, step=13140, lr=0.145500, batch loss=0.150569, epoch loss=3.493410 Batch=1199, step=13200, lr=0.145000, batch loss=0.116680, epoch loss=3.610089 Epoch=10, step=13200, lr=0.145000, epoch loss=3.610089 Batch=59, step=13260, lr=0.145000, batch loss=0.137382, epoch loss=0.137382 Batch=119, step=13320, lr=0.144750, batch loss=0.117740, epoch loss=0.255122 Batch=179, step=13380, lr=0.144250, batch loss=0.126299, epoch loss=0.381421 Batch=239, step=13440, lr=0.144250, batch loss=0.183329, epoch loss=0.564750 Batch=299, step=13500, lr=0.144000, batch loss=0.116615, epoch loss=0.681365 Batch=359, step=13560, lr=0.143750, batch loss=0.162412, epoch loss=0.843777 Batch=419, step=13620, lr=0.143500, batch loss=0.159453, epoch loss=1.003230 Batch=479, step=13680, lr=0.143250, batch loss=0.147429, epoch loss=1.150659 Batch=539, step=13740, lr=0.143000, batch loss=0.116793, epoch loss=1.267452 Batch=599, step=13800, lr=0.142750, batch loss=0.119459, epoch loss=1.386911 Batch=659, step=13860, lr=0.142500, batch loss=0.175300, epoch loss=1.562211 Batch=719, step=13920, lr=0.142250, batch loss=0.172448, epoch loss=1.734659 Batch=779, step=13980, lr=0.141750, batch loss=0.196322, epoch loss=1.930981 Batch=839, step=14040, lr=0.141750, batch loss=0.186055, epoch loss=2.117036 Batch=899, step=14100, lr=0.141500, batch loss=0.158996, epoch loss=2.276032 Batch=959, step=14160, lr=0.141250, batch loss=0.159219, epoch loss=2.435250 Batch=1019, step=14220, lr=0.140750, batch loss=0.375329, epoch loss=2.810579 Batch=1079, step=14280, lr=0.140500, batch loss=0.066584, epoch loss=2.877163 Batch=1139, step=14340, lr=0.140250, batch loss=0.122730, epoch loss=2.999893 Batch=1199, step=14400, lr=0.140250, batch loss=0.092085, epoch loss=3.091978 Epoch=11, step=14400, lr=0.140250, epoch loss=3.091978 Batch=59, step=14460, lr=0.139750, batch loss=0.123505, epoch loss=0.123505 Batch=119, step=14520, lr=0.139500, batch loss=0.112395, epoch loss=0.235901 Batch=179, step=14580, lr=0.139500, batch loss=0.109632, epoch loss=0.345533 Batch=239, step=14640, lr=0.139250, batch loss=0.144134, epoch loss=0.489667 Batch=299, step=14700, lr=0.138750, batch loss=0.076853, epoch loss=0.566520 Batch=359, step=14760, lr=0.138500, batch loss=0.120305, epoch loss=0.686825 Batch=419, step=14820, lr=0.138500, batch loss=0.128530, epoch loss=0.815354 Batch=479, step=14880, lr=0.138250, batch loss=0.099139, epoch loss=0.914493 Batch=539, step=14940, lr=0.137750, batch loss=0.087650, epoch loss=1.002142 Batch=599, step=15000, lr=0.137750, batch loss=0.085700, epoch loss=1.087843 Batch=659, step=15060, lr=0.137250, batch loss=0.136582, epoch loss=1.224424 Batch=719, step=15120, lr=0.137250, batch loss=0.158526, epoch loss=1.382950 Batch=779, step=15180, lr=0.137000, batch loss=0.214920, epoch loss=1.597870 Batch=839, step=15240, lr=0.136500, batch loss=0.152162, epoch loss=1.750032 Batch=899, step=15300, lr=0.136500, batch loss=0.143482, epoch loss=1.893514 Batch=959, step=15360, lr=0.136000, batch loss=0.087318, epoch loss=1.980832 Batch=1019, step=15420, lr=0.135750, batch loss=0.153978, epoch loss=2.134810 Batch=1079, step=15480, lr=0.135750, batch loss=0.050468, epoch loss=2.185278 Batch=1139, step=15540, lr=0.135250, batch loss=0.097067, epoch loss=2.282345 Batch=1199, step=15600, lr=0.135250, batch loss=0.060020, epoch loss=2.342366 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342366 Batch=59, step=15660, lr=0.135000, batch loss=0.080057, epoch loss=0.080057 Batch=119, step=15720, lr=0.134750, batch loss=0.130151, epoch loss=0.210208 Batch=179, step=15780, lr=0.134500, batch loss=0.094919, epoch loss=0.305127 Batch=239, step=15840, lr=0.134250, batch loss=0.094021, epoch loss=0.399148 Batch=299, step=15900, lr=0.134000, batch loss=0.038667, epoch loss=0.437815 Batch=359, step=15960, lr=0.133500, batch loss=0.084031, epoch loss=0.521846 Batch=419, step=16020, lr=0.133500, batch loss=0.079392, epoch loss=0.601238 Batch=479, step=16080, lr=0.133250, batch loss=0.059638, epoch loss=0.660877 Batch=539, step=16140, lr=0.133000, batch loss=0.062743, epoch loss=0.723620 Batch=599, step=16200, lr=0.132750, batch loss=0.150613, epoch loss=0.874233 Batch=659, step=16260, lr=0.132500, batch loss=0.087737, epoch loss=0.961970 Batch=719, step=16320, lr=0.132000, batch loss=0.135326, epoch loss=1.097296 Batch=779, step=16380, lr=0.132000, batch loss=0.322827, epoch loss=1.420123 Batch=839, step=16440, lr=0.131750, batch loss=0.099289, epoch loss=1.519412 Batch=899, step=16500, lr=0.131500, batch loss=0.089047, epoch loss=1.608459 Batch=959, step=16560, lr=0.131250, batch loss=0.034294, epoch loss=1.642753 Batch=1019, step=16620, lr=0.131000, batch loss=0.061046, epoch loss=1.703799 Batch=1079, step=16680, lr=0.130750, batch loss=0.053318, epoch loss=1.757117 Batch=1139, step=16740, lr=0.130500, batch loss=0.094802, epoch loss=1.851919 Batch=1199, step=16800, lr=0.130000, batch loss=0.045747, epoch loss=1.897666 Epoch=13, step=16800, lr=0.130000, epoch loss=1.897666 Batch=59, step=16860, lr=0.129750, batch loss=0.036352, epoch loss=0.036352 Batch=119, step=16920, lr=0.129500, batch loss=0.036717, epoch loss=0.073070 Batch=179, step=16980, lr=0.129500, batch loss=0.044261, epoch loss=0.117331 Batch=239, step=17040, lr=0.129000, batch loss=0.061379, epoch loss=0.178710 Batch=299, step=17100, lr=0.128750, batch loss=0.020235, epoch loss=0.198945 Batch=359, step=17160, lr=0.128500, batch loss=0.045628, epoch loss=0.244573 Batch=419, step=17220, lr=0.128500, batch loss=0.070818, epoch loss=0.315391 Batch=479, step=17280, lr=0.128000, batch loss=0.022369, epoch loss=0.337760 Batch=539, step=17340, lr=0.128000, batch loss=0.028113, epoch loss=0.365873 Batch=599, step=17400, lr=0.127500, batch loss=0.034300, epoch loss=0.400173 Batch=659, step=17460, lr=0.127500, batch loss=0.045749, epoch loss=0.445921 Batch=719, step=17520, lr=0.127250, batch loss=0.054578, epoch loss=0.500500 Batch=779, step=17580, lr=0.126750, batch loss=0.073987, epoch loss=0.574487 Batch=839, step=17640, lr=0.126500, batch loss=0.138481, epoch loss=0.712968 Batch=899, step=17700, lr=0.126250, batch loss=0.055208, epoch loss=0.768176 Batch=959, step=17760, lr=0.126250, batch loss=0.017329, epoch loss=0.785505 Batch=1019, step=17820, lr=0.125750, batch loss=0.035475, epoch loss=0.820981 Batch=1079, step=17880, lr=0.125750, batch loss=0.028896, epoch loss=0.849876 Batch=1139, step=17940, lr=0.125250, batch loss=0.063154, epoch loss=0.913030 Batch=1199, step=18000, lr=0.125000, batch loss=0.023012, epoch loss=0.936043 Epoch=14, step=18000, lr=0.125000, epoch loss=0.936043 Batch=59, step=18060, lr=0.125000, batch loss=0.012811, epoch loss=0.012811 Batch=119, step=18120, lr=0.124750, batch loss=0.018043, epoch loss=0.030854 Batch=179, step=18180, lr=0.124250, batch loss=0.029910, epoch loss=0.060764 Batch=239, step=18240, lr=0.124250, batch loss=0.033788, epoch loss=0.094552 Batch=299, step=18300, lr=0.123750, batch loss=0.011647, epoch loss=0.106199 Batch=359, step=18360, lr=0.123750, batch loss=0.022973, epoch loss=0.129171 Batch=419, step=18420, lr=0.123250, batch loss=0.033927, epoch loss=0.163099 Batch=479, step=18480, lr=0.123250, batch loss=0.028934, epoch loss=0.192032 Batch=539, step=18540, lr=0.123000, batch loss=0.051931, epoch loss=0.243963 Batch=599, step=18600, lr=0.122750, batch loss=0.026555, epoch loss=0.270518 Batch=659, step=18660, lr=0.122250, batch loss=0.031502, epoch loss=0.302020 Batch=719, step=18720, lr=0.122250, batch loss=0.030945, epoch loss=0.332965 Batch=779, step=18780, lr=0.122000, batch loss=0.084389, epoch loss=0.417354 Batch=839, step=18840, lr=0.121500, batch loss=0.059039, epoch loss=0.476392 Batch=899, step=18900, lr=0.121500, batch loss=0.074792, epoch loss=0.551184 Batch=959, step=18960, lr=0.121000, batch loss=0.013817, epoch loss=0.565001 Batch=1019, step=19020, lr=0.120750, batch loss=0.017091, epoch loss=0.582092 Batch=1079, step=19080, lr=0.120500, batch loss=0.004758, epoch loss=0.586849 Batch=1139, step=19140, lr=0.120500, batch loss=0.025051, epoch loss=0.611900 Batch=1199, step=19200, lr=0.120250, batch loss=0.010643, epoch loss=0.622543 Epoch=15, step=19200, lr=0.120250, epoch loss=0.622543 Batch=59, step=19260, lr=0.120000, batch loss=0.006016, epoch loss=0.006016 Batch=119, step=19320, lr=0.119750, batch loss=0.014435, epoch loss=0.020450 Batch=179, step=19380, lr=0.119250, batch loss=0.033313, epoch loss=0.053763 Batch=239, step=19440, lr=0.119000, batch loss=0.020577, epoch loss=0.074340 Batch=299, step=19500, lr=0.119000, batch loss=0.004817, epoch loss=0.079157 Batch=359, step=19560, lr=0.118750, batch loss=0.017332, epoch loss=0.096489 Batch=419, step=19620, lr=0.118250, batch loss=0.019674, epoch loss=0.116164 Batch=479, step=19680, lr=0.118000, batch loss=0.008636, epoch loss=0.124800 Batch=539, step=19740, lr=0.118000, batch loss=0.017322, epoch loss=0.142121 Batch=599, step=19800, lr=0.117500, batch loss=0.021184, epoch loss=0.163305 Batch=659, step=19860, lr=0.117500, batch loss=0.016382, epoch loss=0.179687 Batch=719, step=19920, lr=0.117000, batch loss=0.044580, epoch loss=0.224266 Batch=779, step=19980, lr=0.116750, batch loss=0.081479, epoch loss=0.305745 Batch=839, step=20040, lr=0.116500, batch loss=0.031111, epoch loss=0.336856 Batch=899, step=20100, lr=0.116500, batch loss=0.029029, epoch loss=0.365885 Batch=959, step=20160, lr=0.116250, batch loss=0.015878, epoch loss=0.381763 Batch=1019, step=20220, lr=0.116000, batch loss=0.017902, epoch loss=0.399665 Batch=1079, step=20280, lr=0.115500, batch loss=0.001623, epoch loss=0.401288 Batch=1139, step=20340, lr=0.115250, batch loss=0.015004, epoch loss=0.416293 Batch=1199, step=20400, lr=0.115250, batch loss=0.006075, epoch loss=0.422368 Epoch=16, step=20400, lr=0.115250, epoch loss=0.422368 Batch=59, step=20460, lr=0.115000, batch loss=0.002454, epoch loss=0.002454 Batch=119, step=20520, lr=0.114500, batch loss=0.012383, epoch loss=0.014836 Batch=179, step=20580, lr=0.114250, batch loss=0.024538, epoch loss=0.039374 Batch=239, step=20640, lr=0.114250, batch loss=0.016574, epoch loss=0.055948 Batch=299, step=20700, lr=0.114000, batch loss=0.006037, epoch loss=0.061985 Batch=359, step=20760, lr=0.113750, batch loss=0.012994, epoch loss=0.074978 Batch=419, step=20820, lr=0.113250, batch loss=0.016417, epoch loss=0.091395 Batch=479, step=20880, lr=0.113250, batch loss=0.005740, epoch loss=0.097135 Batch=539, step=20940, lr=0.113000, batch loss=0.015473, epoch loss=0.112608 Batch=599, step=21000, lr=0.112750, batch loss=0.018811, epoch loss=0.131418 Batch=659, step=21060, lr=0.112500, batch loss=0.014987, epoch loss=0.146405 Batch=719, step=21120, lr=0.112250, batch loss=0.040484, epoch loss=0.186889 Batch=779, step=21180, lr=0.111750, batch loss=0.072923, epoch loss=0.259812 Batch=839, step=21240, lr=0.111750, batch loss=0.025773, epoch loss=0.285586 Batch=899, step=21300, lr=0.111500, batch loss=0.037186, epoch loss=0.322771 Batch=959, step=21360, lr=0.111000, batch loss=0.010687, epoch loss=0.333459 Batch=1019, step=21420, lr=0.110750, batch loss=0.010826, epoch loss=0.344285 Batch=1079, step=21480, lr=0.110500, batch loss=0.001007, epoch loss=0.345292 Batch=1139, step=21540, lr=0.110500, batch loss=0.012770, epoch loss=0.358062 Batch=1199, step=21600, lr=0.110250, batch loss=0.004778, epoch loss=0.362840 Epoch=17, step=21600, lr=0.110250, epoch loss=0.362840 Batch=59, step=21660, lr=0.109750, batch loss=0.001607, epoch loss=0.001607 Batch=119, step=21720, lr=0.109750, batch loss=0.007319, epoch loss=0.008926 Batch=179, step=21780, lr=0.109500, batch loss=0.012896, epoch loss=0.021822 Batch=239, step=21840, lr=0.109000, batch loss=0.011850, epoch loss=0.033671 Batch=299, step=21900, lr=0.108750, batch loss=0.002693, epoch loss=0.036365 Batch=359, step=21960, lr=0.108500, batch loss=0.012581, epoch loss=0.048946 Batch=419, step=22020, lr=0.108250, batch loss=0.011890, epoch loss=0.060836 Batch=479, step=22080, lr=0.108250, batch loss=0.002599, epoch loss=0.063435 Batch=539, step=22140, lr=0.107750, batch loss=0.017661, epoch loss=0.081096 Batch=599, step=22200, lr=0.107750, batch loss=0.016780, epoch loss=0.097876 Batch=659, step=22260, lr=0.107500, batch loss=0.016117, epoch loss=0.113993 Batch=719, step=22320, lr=0.107000, batch loss=0.022360, epoch loss=0.136353 Batch=779, step=22380, lr=0.107000, batch loss=0.029231, epoch loss=0.165584 Batch=839, step=22440, lr=0.106750, batch loss=0.028767, epoch loss=0.194350 Batch=899, step=22500, lr=0.106250, batch loss=0.024577, epoch loss=0.218927 Batch=959, step=22560, lr=0.106000, batch loss=0.008724, epoch loss=0.227651 Batch=1019, step=22620, lr=0.105750, batch loss=0.007190, epoch loss=0.234841 Batch=1079, step=22680, lr=0.105750, batch loss=0.002282, epoch loss=0.237123 Batch=1139, step=22740, lr=0.105250, batch loss=0.010959, epoch loss=0.248082 Batch=1199, step=22800, lr=0.105000, batch loss=0.005011, epoch loss=0.253093 Epoch=18, step=22800, lr=0.105000, epoch loss=0.253093 Batch=59, step=22860, lr=0.104750, batch loss=0.001846, epoch loss=0.001846 Batch=119, step=22920, lr=0.104750, batch loss=0.005201, epoch loss=0.007046 Batch=179, step=22980, lr=0.104250, batch loss=0.010643, epoch loss=0.017689 Batch=239, step=23040, lr=0.104000, batch loss=0.009105, epoch loss=0.026794 Batch=299, step=23100, lr=0.104000, batch loss=0.007120, epoch loss=0.033914 Batch=359, step=23160, lr=0.103500, batch loss=0.011804, epoch loss=0.045718 Batch=419, step=23220, lr=0.103250, batch loss=0.010694, epoch loss=0.056412 Batch=479, step=23280, lr=0.103000, batch loss=0.002322, epoch loss=0.058734 Batch=539, step=23340, lr=0.102750, batch loss=0.016930, epoch loss=0.075664 Batch=599, step=23400, lr=0.102500, batch loss=0.013635, epoch loss=0.089299 Batch=659, step=23460, lr=0.102250, batch loss=0.010156, epoch loss=0.099454 Batch=719, step=23520, lr=0.102000, batch loss=0.016459, epoch loss=0.115914 Batch=779, step=23580, lr=0.101750, batch loss=0.021466, epoch loss=0.137380 Batch=839, step=23640, lr=0.101750, batch loss=0.027373, epoch loss=0.164752 Batch=899, step=23700, lr=0.101250, batch loss=0.022093, epoch loss=0.186845 Batch=959, step=23760, lr=0.101250, batch loss=0.010848, epoch loss=0.197693 Batch=1019, step=23820, lr=0.100750, batch loss=0.011582, epoch loss=0.209275 Batch=1079, step=23880, lr=0.100750, batch loss=0.000804, epoch loss=0.210080 Batch=1139, step=23940, lr=0.100250, batch loss=0.009092, epoch loss=0.219172 Batch=1199, step=24000, lr=0.100000, batch loss=0.004704, epoch loss=0.223875 Epoch=19, step=24000, lr=0.100000, epoch loss=0.223875 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:20.35 ---> saved as "a8fd3eba9d3abd2ab866f795b2b633a916f11732b0ea9d26e0a2801a17717652" Job succeeded 2025-03-21 16:20.36: Job succeeded