2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750 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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:22.29: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (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 15:22.30 ---> 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 15:22.30 ---> 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 15:22.30 ---> 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 15:22.30 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:22.30 ---> 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 15:22.30 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:22.30 ---> 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 15:22.30 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:22.30 ---> 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 15:22.30 ---> 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 15:22.30 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-21 15:22.34 ---> saved as "542b6505683a94f70739f94ce44110b64600386a4ccd7a071d5d3d18010b1be1" /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/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/f22c4b6072fe386e8b6251658fa8db0d/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0e86ab520b861f8aa1b06a73029028eb/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/0e86ab520b861f8aa1b06a73029028eb/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=0.198750, batch loss=1.336864, epoch loss=38.399751 Batch=419, step=420, lr=0.198250, batch loss=0.615027, epoch loss=39.014778 Batch=479, step=480, lr=0.198000, batch loss=0.793652, epoch loss=39.808430 Batch=539, step=540, lr=0.197750, batch loss=0.653487, epoch loss=40.461917 Batch=599, step=600, lr=0.197500, batch loss=1.082963, epoch loss=41.544880 Batch=659, step=660, lr=0.197250, batch loss=0.482792, epoch loss=42.027672 Batch=719, step=720, lr=0.197000, batch loss=0.412537, epoch loss=42.440210 Batch=779, step=780, lr=0.196750, batch loss=0.470801, epoch loss=42.911011 Batch=839, step=840, lr=0.196500, batch loss=0.445245, epoch loss=43.356256 Batch=899, step=900, lr=0.196250, batch loss=0.386288, epoch loss=43.742544 Batch=959, step=960, lr=0.196000, batch loss=0.250914, epoch loss=43.993458 Batch=1019, step=1020, lr=0.196000, batch loss=0.472112, epoch loss=44.465569 Batch=1079, step=1080, lr=0.195500, batch loss=0.247234, epoch loss=44.712803 Batch=1139, step=1140, lr=0.195500, batch loss=0.319288, epoch loss=45.032091 Batch=1199, step=1200, lr=0.195250, batch loss=0.265876, epoch loss=45.297967 Epoch=0, step=1200, lr=0.195250, epoch loss=45.297967 Batch=59, step=1260, lr=0.195000, batch loss=0.264312, epoch loss=0.264312 Batch=119, step=1320, lr=0.194500, batch loss=0.206243, epoch loss=0.470554 Batch=179, step=1380, lr=0.194500, batch loss=0.247387, epoch loss=0.717941 Batch=239, step=1440, lr=0.194250, batch loss=0.353850, epoch loss=1.071791 Batch=299, step=1500, lr=0.194000, batch loss=0.237604, epoch loss=1.309395 Batch=359, step=1560, lr=0.193750, batch loss=0.315307, epoch loss=1.624702 Batch=419, step=1620, lr=0.193250, batch loss=0.309317, epoch loss=1.934018 Batch=479, step=1680, lr=0.193250, batch loss=0.274665, epoch loss=2.208684 Batch=539, step=1740, lr=0.192750, batch loss=0.210905, epoch loss=2.419589 Batch=599, step=1800, lr=0.192750, batch loss=0.251612, epoch loss=2.671201 Batch=659, step=1860, lr=0.192250, batch loss=0.368736, epoch loss=3.039937 Batch=719, step=1920, lr=0.192000, batch loss=0.358847, epoch loss=3.398784 Batch=779, step=1980, lr=0.191750, batch loss=0.389162, epoch loss=3.787946 Batch=839, step=2040, lr=0.191500, batch loss=0.348112, epoch loss=4.136058 Batch=899, step=2100, lr=0.191250, batch loss=0.329001, epoch loss=4.465059 Batch=959, step=2160, lr=0.191000, batch loss=0.255742, epoch loss=4.720801 Batch=1019, step=2220, lr=0.191000, batch loss=0.394405, epoch loss=5.115206 Batch=1079, step=2280, lr=0.190500, batch loss=0.219192, epoch loss=5.334398 Batch=1139, step=2340, lr=0.190500, batch loss=0.266274, epoch loss=5.600672 Batch=1199, step=2400, lr=0.190250, batch loss=0.213316, epoch loss=5.813988 Epoch=1, step=2400, lr=0.190250, epoch loss=5.813988 Batch=59, step=2460, lr=0.189750, batch loss=0.235137, epoch loss=0.235137 Batch=119, step=2520, lr=0.189500, batch loss=0.196722, epoch loss=0.431858 Batch=179, step=2580, lr=0.189250, batch loss=0.223073, epoch loss=0.654931 Batch=239, step=2640, lr=0.189250, batch loss=0.331114, epoch loss=0.986045 Batch=299, step=2700, lr=0.188750, batch loss=0.206429, epoch loss=1.192474 Batch=359, step=2760, lr=0.188500, batch loss=0.289463, epoch loss=1.481937 Batch=419, step=2820, lr=0.188500, batch loss=0.282620, epoch loss=1.764557 Batch=479, step=2880, lr=0.188000, batch loss=0.254491, epoch loss=2.019047 Batch=539, step=2940, lr=0.187750, batch loss=0.193294, epoch loss=2.212342 Batch=599, step=3000, lr=0.187500, batch loss=0.227785, epoch loss=2.440126 Batch=659, step=3060, lr=0.187250, batch loss=0.336956, epoch loss=2.777083 Batch=719, step=3120, lr=0.187000, batch loss=0.332149, epoch loss=3.109232 Batch=779, step=3180, lr=0.186750, batch loss=0.356249, epoch loss=3.465481 Batch=839, step=3240, lr=0.186750, batch loss=0.330932, epoch loss=3.796413 Batch=899, step=3300, lr=0.186500, batch loss=0.300662, epoch loss=4.097075 Batch=959, step=3360, lr=0.186000, batch loss=0.244576, epoch loss=4.341651 Batch=1019, step=3420, lr=0.185750, batch loss=0.355478, epoch loss=4.697128 Batch=1079, step=3480, lr=0.185500, batch loss=0.215803, epoch loss=4.912931 Batch=1139, step=3540, lr=0.185500, batch loss=0.265269, epoch loss=5.178201 Batch=1199, step=3600, lr=0.185000, batch loss=0.201035, epoch loss=5.379236 Epoch=2, step=3600, lr=0.185000, epoch loss=5.379236 Batch=59, step=3660, lr=0.184750, batch loss=0.221543, epoch loss=0.221543 Batch=119, step=3720, lr=0.184500, batch loss=0.186189, epoch loss=0.407732 Batch=179, step=3780, lr=0.184500, batch loss=0.212787, epoch loss=0.620519 Batch=239, step=3840, lr=0.184000, batch loss=0.317412, epoch loss=0.937931 Batch=299, step=3900, lr=0.184000, batch loss=0.204378, epoch loss=1.142309 Batch=359, step=3960, lr=0.183750, batch loss=0.281262, epoch loss=1.423571 Batch=419, step=4020, lr=0.183500, batch loss=0.272048, epoch loss=1.695619 Batch=479, step=4080, lr=0.183000, batch loss=0.245814, epoch loss=1.941433 Batch=539, step=4140, lr=0.182750, batch loss=0.196638, epoch loss=2.138070 Batch=599, step=4200, lr=0.182500, batch loss=0.241570, epoch loss=2.379640 Batch=659, step=4260, lr=0.182250, batch loss=0.329657, epoch loss=2.709298 Batch=719, step=4320, lr=0.182000, batch loss=0.327616, epoch loss=3.036914 Batch=779, step=4380, lr=0.182000, batch loss=0.352825, epoch loss=3.389739 Batch=839, step=4440, lr=0.181750, batch loss=0.317633, epoch loss=3.707372 Batch=899, step=4500, lr=0.181250, batch loss=0.286320, epoch loss=3.993693 Batch=959, step=4560, lr=0.181000, batch loss=0.238556, epoch loss=4.232249 Batch=1019, step=4620, lr=0.180750, batch loss=0.330164, epoch loss=4.562413 Batch=1079, step=4680, lr=0.180500, batch loss=0.196119, epoch loss=4.758531 Batch=1139, step=4740, lr=0.180500, batch loss=0.228479, epoch loss=4.987010 Batch=1199, step=4800, lr=0.180250, batch loss=0.194232, epoch loss=5.181242 Epoch=3, step=4800, lr=0.180250, epoch loss=5.181242 Batch=59, step=4860, lr=0.179750, batch loss=0.234815, epoch loss=0.234815 Batch=119, step=4920, lr=0.179500, batch loss=0.194231, epoch loss=0.429046 Batch=179, step=4980, lr=0.179250, batch loss=0.205996, epoch loss=0.635042 Batch=239, step=5040, lr=0.179000, batch loss=0.306786, epoch loss=0.941828 Batch=299, step=5100, lr=0.178750, batch loss=0.204701, epoch loss=1.146529 Batch=359, step=5160, lr=0.178750, batch loss=0.271859, epoch loss=1.418387 Batch=419, step=5220, lr=0.178250, batch loss=0.265517, epoch loss=1.683904 Batch=479, step=5280, lr=0.178250, batch loss=0.242926, epoch loss=1.926830 Batch=539, step=5340, lr=0.177750, batch loss=0.193258, epoch loss=2.120088 Batch=599, step=5400, lr=0.177500, batch loss=0.238576, epoch loss=2.358664 Batch=659, step=5460, lr=0.177250, batch loss=0.320717, epoch loss=2.679381 Batch=719, step=5520, lr=0.177250, batch loss=0.325070, epoch loss=3.004451 Batch=779, step=5580, lr=0.177000, batch loss=0.340220, epoch loss=3.344671 Batch=839, step=5640, lr=0.176500, batch loss=0.312760, epoch loss=3.657431 Batch=899, step=5700, lr=0.176500, batch loss=0.279768, epoch loss=3.937199 Batch=959, step=5760, lr=0.176000, batch loss=0.230686, epoch loss=4.167885 Batch=1019, step=5820, lr=0.175750, batch loss=0.323517, epoch loss=4.491402 Batch=1079, step=5880, lr=0.175750, batch loss=0.195327, epoch loss=4.686729 Batch=1139, step=5940, lr=0.175500, batch loss=0.228594, epoch loss=4.915323 Batch=1199, step=6000, lr=0.175250, batch loss=0.184762, epoch loss=5.100085 Epoch=4, step=6000, lr=0.175250, epoch loss=5.100085 Batch=59, step=6060, lr=0.175000, batch loss=0.227267, epoch loss=0.227267 Batch=119, step=6120, lr=0.174750, batch loss=0.189774, epoch loss=0.417041 Batch=179, step=6180, lr=0.174500, batch loss=0.201616, epoch loss=0.618657 Batch=239, step=6240, lr=0.174000, batch loss=0.300484, epoch loss=0.919140 Batch=299, step=6300, lr=0.173750, batch loss=0.207279, epoch loss=1.126419 Batch=359, step=6360, lr=0.173500, batch loss=0.266334, epoch loss=1.392753 Batch=419, step=6420, lr=0.173500, batch loss=0.261084, epoch loss=1.653837 Batch=479, step=6480, lr=0.173250, batch loss=0.237085, epoch loss=1.890922 Batch=539, step=6540, lr=0.172750, batch loss=0.188678, epoch loss=2.079600 Batch=599, step=6600, lr=0.172500, batch loss=0.225171, epoch loss=2.304770 Batch=659, step=6660, lr=0.172500, batch loss=0.317176, epoch loss=2.621947 Batch=719, step=6720, lr=0.172000, batch loss=0.315695, epoch loss=2.937642 Batch=779, step=6780, lr=0.171750, batch loss=0.332928, epoch loss=3.270570 Batch=839, step=6840, lr=0.171750, batch loss=0.304506, epoch loss=3.575076 Batch=899, step=6900, lr=0.171500, batch loss=0.266989, epoch loss=3.842064 Batch=959, step=6960, lr=0.171250, batch loss=0.209765, epoch loss=4.051829 Batch=1019, step=7020, lr=0.170750, batch loss=0.328677, epoch loss=4.380506 Batch=1079, step=7080, lr=0.170500, batch loss=0.173876, epoch loss=4.554382 Batch=1139, step=7140, lr=0.170500, batch loss=0.213473, epoch loss=4.767854 Batch=1199, step=7200, lr=0.170000, batch loss=0.182629, epoch loss=4.950484 Epoch=5, step=7200, lr=0.170000, epoch loss=4.950484 Batch=59, step=7260, lr=0.169750, batch loss=0.242268, epoch loss=0.242268 Batch=119, step=7320, lr=0.169500, batch loss=0.180683, epoch loss=0.422951 Batch=179, step=7380, lr=0.169500, batch loss=0.194737, epoch loss=0.617688 Batch=239, step=7440, lr=0.169000, batch loss=0.290411, epoch loss=0.908099 Batch=299, step=7500, lr=0.169000, batch loss=0.206422, epoch loss=1.114522 Batch=359, step=7560, lr=0.168500, batch loss=0.262621, epoch loss=1.377143 Batch=419, step=7620, lr=0.168500, batch loss=0.254760, epoch loss=1.631902 Batch=479, step=7680, lr=0.168000, batch loss=0.239058, epoch loss=1.870960 Batch=539, step=7740, lr=0.167750, batch loss=0.185582, epoch loss=2.056542 Batch=599, step=7800, lr=0.167500, batch loss=0.228861, epoch loss=2.285403 Batch=659, step=7860, lr=0.167250, batch loss=0.303835, epoch loss=2.589238 Batch=719, step=7920, lr=0.167250, batch loss=0.307516, epoch loss=2.896755 Batch=779, step=7980, lr=0.167000, batch loss=0.324203, epoch loss=3.220957 Batch=839, step=8040, lr=0.166750, batch loss=0.292885, epoch loss=3.513843 Batch=899, step=8100, lr=0.166500, batch loss=0.263193, epoch loss=3.777035 Batch=959, step=8160, lr=0.166000, batch loss=0.201006, epoch loss=3.978042 Batch=1019, step=8220, lr=0.165750, batch loss=0.319505, epoch loss=4.297547 Batch=1079, step=8280, lr=0.165750, batch loss=0.176596, epoch loss=4.474143 Batch=1139, step=8340, lr=0.165250, batch loss=0.209695, epoch loss=4.683838 Batch=1199, step=8400, lr=0.165000, batch loss=0.178391, epoch loss=4.862229 Epoch=6, step=8400, lr=0.165000, epoch loss=4.862229 Batch=59, step=8460, lr=0.164750, batch loss=0.229852, epoch loss=0.229852 Batch=119, step=8520, lr=0.164500, batch loss=0.174257, epoch loss=0.404109 Batch=179, step=8580, lr=0.164250, batch loss=0.187637, epoch loss=0.591746 Batch=239, step=8640, lr=0.164000, batch loss=0.276855, epoch loss=0.868601 Batch=299, step=8700, lr=0.164000, batch loss=0.193958, epoch loss=1.062559 Batch=359, step=8760, lr=0.163750, batch loss=0.249539, epoch loss=1.312098 Batch=419, step=8820, lr=0.163500, batch loss=0.244707, epoch loss=1.556806 Batch=479, step=8880, lr=0.163250, batch loss=0.227552, epoch loss=1.784358 Batch=539, step=8940, lr=0.162750, batch loss=0.180326, epoch loss=1.964683 Batch=599, step=9000, lr=0.162750, batch loss=0.216969, epoch loss=2.181652 Batch=659, step=9060, lr=0.162250, batch loss=0.295061, epoch loss=2.476713 Batch=719, step=9120, lr=0.162000, batch loss=0.293927, epoch loss=2.770640 Batch=779, step=9180, lr=0.161750, batch loss=0.317137, epoch loss=3.087777 Batch=839, step=9240, lr=0.161750, batch loss=0.286311, epoch loss=3.374089 Batch=899, step=9300, lr=0.161250, batch loss=0.253035, epoch loss=3.627123 Batch=959, step=9360, lr=0.161250, batch loss=0.188625, epoch loss=3.815748 Batch=1019, step=9420, lr=0.161000, batch loss=0.316046, epoch loss=4.131794 Batch=1079, step=9480, lr=0.160750, batch loss=0.191041, epoch loss=4.322835 Batch=1139, step=9540, lr=0.160250, batch loss=0.211723, epoch loss=4.534558 Batch=1199, step=9600, lr=0.160250, batch loss=0.167577, epoch loss=4.702135 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702135 Batch=59, step=9660, lr=0.160000, batch loss=0.201384, epoch loss=0.201384 Batch=119, step=9720, lr=0.159750, batch loss=0.164883, epoch loss=0.366267 Batch=179, step=9780, lr=0.159500, batch loss=0.179071, epoch loss=0.545337 Batch=239, step=9840, lr=0.159000, batch loss=0.261023, epoch loss=0.806361 Batch=299, step=9900, lr=0.158750, batch loss=0.178753, epoch loss=0.985114 Batch=359, step=9960, lr=0.158500, batch loss=0.234224, epoch loss=1.219338 Batch=419, step=10020, lr=0.158500, batch loss=0.232376, epoch loss=1.451714 Batch=479, step=10080, lr=0.158000, batch loss=0.211862, epoch loss=1.663577 Batch=539, step=10140, lr=0.157750, batch loss=0.173233, epoch loss=1.836810 Batch=599, step=10200, lr=0.157750, batch loss=0.199827, epoch loss=2.036636 Batch=659, step=10260, lr=0.157500, batch loss=0.284190, epoch loss=2.320827 Batch=719, step=10320, lr=0.157250, batch loss=0.287838, epoch loss=2.608664 Batch=779, step=10380, lr=0.156750, batch loss=0.297873, epoch loss=2.906537 Batch=839, step=10440, lr=0.156500, batch loss=0.274244, epoch loss=3.180781 Batch=899, step=10500, lr=0.156250, batch loss=0.237569, epoch loss=3.418350 Batch=959, step=10560, lr=0.156250, batch loss=0.194413, epoch loss=3.612763 Batch=1019, step=10620, lr=0.156000, batch loss=0.284934, epoch loss=3.897698 Batch=1079, step=10680, lr=0.155750, batch loss=0.179516, epoch loss=4.077214 Batch=1139, step=10740, lr=0.155250, batch loss=0.206704, epoch loss=4.283917 Batch=1199, step=10800, lr=0.155250, batch loss=0.155840, epoch loss=4.439758 Epoch=8, step=10800, lr=0.155250, epoch loss=4.439758 Batch=59, step=10860, lr=0.154750, batch loss=0.178451, epoch loss=0.178451 Batch=119, step=10920, lr=0.154750, batch loss=0.151959, epoch loss=0.330411 Batch=179, step=10980, lr=0.154250, batch loss=0.168046, epoch loss=0.498456 Batch=239, step=11040, lr=0.154000, batch loss=0.253292, epoch loss=0.751749 Batch=299, step=11100, lr=0.154000, batch loss=0.163605, epoch loss=0.915354 Batch=359, step=11160, lr=0.153750, batch loss=0.228261, epoch loss=1.143615 Batch=419, step=11220, lr=0.153250, batch loss=0.234828, epoch loss=1.378443 Batch=479, step=11280, lr=0.153250, batch loss=0.199887, epoch loss=1.578329 Batch=539, step=11340, lr=0.152750, batch loss=0.158315, epoch loss=1.736644 Batch=599, step=11400, lr=0.152750, batch loss=0.182029, epoch loss=1.918674 Batch=659, step=11460, lr=0.152500, batch loss=0.263708, epoch loss=2.182381 Batch=719, step=11520, lr=0.152250, batch loss=0.260671, epoch loss=2.443052 Batch=779, step=11580, lr=0.152000, batch loss=0.272366, epoch loss=2.715418 Batch=839, step=11640, lr=0.151500, batch loss=0.251965, epoch loss=2.967383 Batch=899, step=11700, lr=0.151500, batch loss=0.219270, epoch loss=3.186652 Batch=959, step=11760, lr=0.151250, batch loss=0.187705, epoch loss=3.374357 Batch=1019, step=11820, lr=0.150750, batch loss=0.274939, epoch loss=3.649296 Batch=1079, step=11880, lr=0.150500, batch loss=0.153652, epoch loss=3.802948 Batch=1139, step=11940, lr=0.150250, batch loss=0.178870, epoch loss=3.981818 Batch=1199, step=12000, lr=0.150000, batch loss=0.140306, epoch loss=4.122125 Epoch=9, step=12000, lr=0.150000, epoch loss=4.122125 Batch=59, step=12060, lr=0.149750, batch loss=0.163103, epoch loss=0.163103 Batch=119, step=12120, lr=0.149500, batch loss=0.138058, epoch loss=0.301161 Batch=179, step=12180, lr=0.149500, batch loss=0.151384, epoch loss=0.452545 Batch=239, step=12240, lr=0.149250, batch loss=0.219881, epoch loss=0.672426 Batch=299, step=12300, lr=0.148750, batch loss=0.145845, epoch loss=0.818272 Batch=359, step=12360, lr=0.148500, batch loss=0.198166, epoch loss=1.016437 Batch=419, step=12420, lr=0.148500, batch loss=0.208487, epoch loss=1.224924 Batch=479, step=12480, lr=0.148000, batch loss=0.181077, epoch loss=1.406001 Batch=539, step=12540, lr=0.147750, batch loss=0.144134, epoch loss=1.550135 Batch=599, step=12600, lr=0.147500, batch loss=0.151679, epoch loss=1.701814 Batch=659, step=12660, lr=0.147250, batch loss=0.227830, epoch loss=1.929644 Batch=719, step=12720, lr=0.147000, batch loss=0.236012, epoch loss=2.165657 Batch=779, step=12780, lr=0.146750, batch loss=0.258530, epoch loss=2.424186 Batch=839, step=12840, lr=0.146750, batch loss=0.228357, epoch loss=2.652543 Batch=899, step=12900, lr=0.146250, batch loss=0.192529, epoch loss=2.845072 Batch=959, step=12960, lr=0.146000, batch loss=0.160432, epoch loss=3.005504 Batch=1019, step=13020, lr=0.145750, batch loss=0.266392, epoch loss=3.271895 Batch=1079, step=13080, lr=0.145500, batch loss=0.117014, epoch loss=3.388909 Batch=1139, step=13140, lr=0.145250, batch loss=0.151270, epoch loss=3.540179 Batch=1199, step=13200, lr=0.145250, batch loss=0.118683, epoch loss=3.658862 Epoch=10, step=13200, lr=0.145250, epoch loss=3.658862 Batch=59, step=13260, lr=0.145000, batch loss=0.141229, epoch loss=0.141229 Batch=119, step=13320, lr=0.144500, batch loss=0.125246, epoch loss=0.266474 Batch=179, step=13380, lr=0.144500, batch loss=0.129942, epoch loss=0.396416 Batch=239, step=13440, lr=0.144250, batch loss=0.196279, epoch loss=0.592695 Batch=299, step=13500, lr=0.143750, batch loss=0.126928, epoch loss=0.719622 Batch=359, step=13560, lr=0.143750, batch loss=0.163635, epoch loss=0.883257 Batch=419, step=13620, lr=0.143500, batch loss=0.163389, epoch loss=1.046647 Batch=479, step=13680, lr=0.143000, batch loss=0.148552, epoch loss=1.195199 Batch=539, step=13740, lr=0.142750, batch loss=0.120802, epoch loss=1.316001 Batch=599, step=13800, lr=0.142750, batch loss=0.122817, epoch loss=1.438817 Batch=659, step=13860, lr=0.142250, batch loss=0.179305, epoch loss=1.618122 Batch=719, step=13920, lr=0.142000, batch loss=0.175716, epoch loss=1.793838 Batch=779, step=13980, lr=0.141750, batch loss=0.195019, epoch loss=1.988857 Batch=839, step=14040, lr=0.141500, batch loss=0.192591, epoch loss=2.181449 Batch=899, step=14100, lr=0.141500, batch loss=0.189317, epoch loss=2.370766 Batch=959, step=14160, lr=0.141250, batch loss=0.130326, epoch loss=2.501092 Batch=1019, step=14220, lr=0.141000, batch loss=0.241711, epoch loss=2.742802 Batch=1079, step=14280, lr=0.140750, batch loss=0.080477, epoch loss=2.823279 Batch=1139, step=14340, lr=0.140250, batch loss=0.129321, epoch loss=2.952600 Batch=1199, step=14400, lr=0.140250, batch loss=0.090499, epoch loss=3.043099 Epoch=11, step=14400, lr=0.140250, epoch loss=3.043099 Batch=59, step=14460, lr=0.139750, batch loss=0.105249, epoch loss=0.105249 Batch=119, step=14520, lr=0.139500, batch loss=0.101654, epoch loss=0.206903 Batch=179, step=14580, lr=0.139500, batch loss=0.103566, epoch loss=0.310469 Batch=239, step=14640, lr=0.139250, batch loss=0.144612, epoch loss=0.455081 Batch=299, step=14700, lr=0.138750, batch loss=0.080915, epoch loss=0.535996 Batch=359, step=14760, lr=0.138500, batch loss=0.121344, epoch loss=0.657341 Batch=419, step=14820, lr=0.138500, batch loss=0.130413, epoch loss=0.787753 Batch=479, step=14880, lr=0.138250, batch loss=0.106160, epoch loss=0.893913 Batch=539, step=14940, lr=0.137750, batch loss=0.110198, epoch loss=1.004111 Batch=599, step=15000, lr=0.137500, batch loss=0.086462, epoch loss=1.090573 Batch=659, step=15060, lr=0.137250, batch loss=0.132105, epoch loss=1.222678 Batch=719, step=15120, lr=0.137000, batch loss=0.122325, epoch loss=1.345003 Batch=779, step=15180, lr=0.136750, batch loss=0.137325, epoch loss=1.482327 Batch=839, step=15240, lr=0.136500, batch loss=0.163354, epoch loss=1.645681 Batch=899, step=15300, lr=0.136250, batch loss=0.288181, epoch loss=1.933862 Batch=959, step=15360, lr=0.136250, batch loss=0.064494, epoch loss=1.998357 Batch=1019, step=15420, lr=0.136000, batch loss=0.147076, epoch loss=2.145433 Batch=1079, step=15480, lr=0.135500, batch loss=0.042676, epoch loss=2.188108 Batch=1139, step=15540, lr=0.135500, batch loss=0.102625, epoch loss=2.290733 Batch=1199, step=15600, lr=0.135000, batch loss=0.060731, epoch loss=2.351464 Epoch=12, step=15600, lr=0.135000, epoch loss=2.351464 Batch=59, step=15660, lr=0.134750, batch loss=0.093392, epoch loss=0.093392 Batch=119, step=15720, lr=0.134500, batch loss=0.144576, epoch loss=0.237968 Batch=179, step=15780, lr=0.134250, batch loss=0.104246, epoch loss=0.342214 Batch=239, step=15840, lr=0.134000, batch loss=0.103765, epoch loss=0.445979 Batch=299, step=15900, lr=0.134000, batch loss=0.044274, epoch loss=0.490253 Batch=359, step=15960, lr=0.133500, batch loss=0.084147, epoch loss=0.574400 Batch=419, step=16020, lr=0.133500, batch loss=0.082075, epoch loss=0.656475 Batch=479, step=16080, lr=0.133250, batch loss=0.065081, epoch loss=0.721556 Batch=539, step=16140, lr=0.132750, batch loss=0.057364, epoch loss=0.778920 Batch=599, step=16200, lr=0.132500, batch loss=0.104830, epoch loss=0.883750 Batch=659, step=16260, lr=0.132250, batch loss=0.080729, epoch loss=0.964479 Batch=719, step=16320, lr=0.132000, batch loss=0.080353, epoch loss=1.044832 Batch=779, step=16380, lr=0.131750, batch loss=0.102239, epoch loss=1.147071 Batch=839, step=16440, lr=0.131500, batch loss=0.130139, epoch loss=1.277210 Batch=899, step=16500, lr=0.131500, batch loss=0.161915, epoch loss=1.439125 Batch=959, step=16560, lr=0.131000, batch loss=0.042997, epoch loss=1.482122 Batch=1019, step=16620, lr=0.130750, batch loss=0.108405, epoch loss=1.590527 Batch=1079, step=16680, lr=0.130750, batch loss=0.026463, epoch loss=1.616990 Batch=1139, step=16740, lr=0.130250, batch loss=0.055705, epoch loss=1.672695 Batch=1199, step=16800, lr=0.130000, batch loss=0.031351, epoch loss=1.704046 Epoch=13, step=16800, lr=0.130000, epoch loss=1.704046 Batch=59, step=16860, lr=0.130000, batch loss=0.038620, epoch loss=0.038620 Batch=119, step=16920, lr=0.129500, batch loss=0.051119, epoch loss=0.089739 Batch=179, step=16980, lr=0.129250, batch loss=0.048726, epoch loss=0.138465 Batch=239, step=17040, lr=0.129000, batch loss=0.077317, epoch loss=0.215782 Batch=299, step=17100, lr=0.129000, batch loss=0.087714, epoch loss=0.303496 Batch=359, step=17160, lr=0.128750, batch loss=0.053152, epoch loss=0.356648 Batch=419, step=17220, lr=0.128250, batch loss=0.059145, epoch loss=0.415793 Batch=479, step=17280, lr=0.128000, batch loss=0.028201, epoch loss=0.443994 Batch=539, step=17340, lr=0.127750, batch loss=0.033981, epoch loss=0.477975 Batch=599, step=17400, lr=0.127750, batch loss=0.035252, epoch loss=0.513227 Batch=659, step=17460, lr=0.127250, batch loss=0.048364, epoch loss=0.561591 Batch=719, step=17520, lr=0.127000, batch loss=0.039383, epoch loss=0.600974 Batch=779, step=17580, lr=0.126750, batch loss=0.041228, epoch loss=0.642201 Batch=839, step=17640, lr=0.126500, batch loss=0.055749, epoch loss=0.697950 Batch=899, step=17700, lr=0.126250, batch loss=0.056012, epoch loss=0.753962 Batch=959, step=17760, lr=0.126000, batch loss=0.045655, epoch loss=0.799617 Batch=1019, step=17820, lr=0.125750, batch loss=0.112139, epoch loss=0.911756 Batch=1079, step=17880, lr=0.125500, batch loss=0.017636, epoch loss=0.929392 Batch=1139, step=17940, lr=0.125250, batch loss=0.036034, epoch loss=0.965426 Batch=1199, step=18000, lr=0.125250, batch loss=0.014798, epoch loss=0.980224 Epoch=14, step=18000, lr=0.125250, epoch loss=0.980224 Batch=59, step=18060, lr=0.124750, batch loss=0.013110, epoch loss=0.013110 Batch=119, step=18120, lr=0.124750, batch loss=0.036128, epoch loss=0.049238 Batch=179, step=18180, lr=0.124500, batch loss=0.103207, epoch loss=0.152445 Batch=239, step=18240, lr=0.124000, batch loss=0.047742, epoch loss=0.200186 Batch=299, step=18300, lr=0.123750, batch loss=0.019949, epoch loss=0.220135 Batch=359, step=18360, lr=0.123500, batch loss=0.049070, epoch loss=0.269205 Batch=419, step=18420, lr=0.123250, batch loss=0.034955, epoch loss=0.304160 Batch=479, step=18480, lr=0.123000, batch loss=0.015601, epoch loss=0.319762 Batch=539, step=18540, lr=0.122750, batch loss=0.022394, epoch loss=0.342156 Batch=599, step=18600, lr=0.122500, batch loss=0.026875, epoch loss=0.369031 Batch=659, step=18660, lr=0.122500, batch loss=0.030092, epoch loss=0.399123 Batch=719, step=18720, lr=0.122000, batch loss=0.035412, epoch loss=0.434535 Batch=779, step=18780, lr=0.122000, batch loss=0.084703, epoch loss=0.519238 Batch=839, step=18840, lr=0.121500, batch loss=0.049976, epoch loss=0.569214 Batch=899, step=18900, lr=0.121250, batch loss=0.051566, epoch loss=0.620780 Batch=959, step=18960, lr=0.121250, batch loss=0.013497, epoch loss=0.634277 Batch=1019, step=19020, lr=0.120750, batch loss=0.024250, epoch loss=0.658527 Batch=1079, step=19080, lr=0.120750, batch loss=0.012509, epoch loss=0.671036 Batch=1139, step=19140, lr=0.120250, batch loss=0.026258, epoch loss=0.697294 Batch=1199, step=19200, lr=0.120000, batch loss=0.010903, epoch loss=0.708197 Epoch=15, step=19200, lr=0.120000, epoch loss=0.708197 Batch=59, step=19260, lr=0.120000, batch loss=0.006995, epoch loss=0.006995 Batch=119, step=19320, lr=0.119500, batch loss=0.023546, epoch loss=0.030541 Batch=179, step=19380, lr=0.119500, batch loss=0.051475, epoch loss=0.082016 Batch=239, step=19440, lr=0.119250, batch loss=0.022658, epoch loss=0.104674 Batch=299, step=19500, lr=0.119000, batch loss=0.015699, epoch loss=0.120373 Batch=359, step=19560, lr=0.118500, batch loss=0.035218, epoch loss=0.155591 Batch=419, step=19620, lr=0.118250, batch loss=0.021096, epoch loss=0.176687 Batch=479, step=19680, lr=0.118250, batch loss=0.007020, epoch loss=0.183707 Batch=539, step=19740, lr=0.117750, batch loss=0.027187, epoch loss=0.210894 Batch=599, step=19800, lr=0.117500, batch loss=0.028426, epoch loss=0.239321 Batch=659, step=19860, lr=0.117250, batch loss=0.018034, epoch loss=0.257354 Batch=719, step=19920, lr=0.117000, batch loss=0.041282, epoch loss=0.298636 Batch=779, step=19980, lr=0.116750, batch loss=0.083697, epoch loss=0.382333 Batch=839, step=20040, lr=0.116500, batch loss=0.031376, epoch loss=0.413709 Batch=899, step=20100, lr=0.116250, batch loss=0.035627, epoch loss=0.449337 Batch=959, step=20160, lr=0.116000, batch loss=0.011685, epoch loss=0.461022 Batch=1019, step=20220, lr=0.116000, batch loss=0.015830, epoch loss=0.476852 Batch=1079, step=20280, lr=0.115500, batch loss=0.001685, epoch loss=0.478537 Batch=1139, step=20340, lr=0.115250, batch loss=0.015334, epoch loss=0.493870 Batch=1199, step=20400, lr=0.115000, batch loss=0.005670, epoch loss=0.499541 Epoch=16, step=20400, lr=0.115000, epoch loss=0.499541 Batch=59, step=20460, lr=0.115000, batch loss=0.003285, epoch loss=0.003285 Batch=119, step=20520, lr=0.114500, batch loss=0.011831, epoch loss=0.015116 Batch=179, step=20580, lr=0.114500, batch loss=0.025437, epoch loss=0.040554 Batch=239, step=20640, lr=0.114250, batch loss=0.016315, epoch loss=0.056869 Batch=299, step=20700, lr=0.114000, batch loss=0.005567, epoch loss=0.062435 Batch=359, step=20760, lr=0.113500, batch loss=0.013513, epoch loss=0.075948 Batch=419, step=20820, lr=0.113500, batch loss=0.017015, epoch loss=0.092963 Batch=479, step=20880, lr=0.113000, batch loss=0.004930, epoch loss=0.097893 Batch=539, step=20940, lr=0.113000, batch loss=0.015186, epoch loss=0.113078 Batch=599, step=21000, lr=0.112750, batch loss=0.017023, epoch loss=0.130102 Batch=659, step=21060, lr=0.112250, batch loss=0.013090, epoch loss=0.143192 Batch=719, step=21120, lr=0.112000, batch loss=0.019008, epoch loss=0.162200 Batch=779, step=21180, lr=0.112000, batch loss=0.031379, epoch loss=0.193579 Batch=839, step=21240, lr=0.111750, batch loss=0.028526, epoch loss=0.222104 Batch=899, step=21300, lr=0.111500, batch loss=0.030573, epoch loss=0.252678 Batch=959, step=21360, lr=0.111000, batch loss=0.009681, epoch loss=0.262359 Batch=1019, step=21420, lr=0.110750, batch loss=0.011130, epoch loss=0.273489 Batch=1079, step=21480, lr=0.110500, batch loss=0.001516, epoch loss=0.275005 Batch=1139, step=21540, lr=0.110250, batch loss=0.012334, epoch loss=0.287339 Batch=1199, step=21600, lr=0.110000, batch loss=0.005148, epoch loss=0.292488 Epoch=17, step=21600, lr=0.110000, epoch loss=0.292488 Batch=59, step=21660, lr=0.110000, batch loss=0.002814, epoch loss=0.002814 Batch=119, step=21720, lr=0.109750, batch loss=0.006465, epoch loss=0.009279 Batch=179, step=21780, lr=0.109500, batch loss=0.014623, epoch loss=0.023902 Batch=239, step=21840, lr=0.109000, batch loss=0.014608, epoch loss=0.038510 Batch=299, step=21900, lr=0.109000, batch loss=0.001635, epoch loss=0.040145 Batch=359, step=21960, lr=0.108750, batch loss=0.012000, epoch loss=0.052144 Batch=419, step=22020, lr=0.108500, batch loss=0.011207, epoch loss=0.063351 Batch=479, step=22080, lr=0.108250, batch loss=0.003365, epoch loss=0.066716 Batch=539, step=22140, lr=0.108000, batch loss=0.014390, epoch loss=0.081106 Batch=599, step=22200, lr=0.107500, batch loss=0.016407, epoch loss=0.097513 Batch=659, step=22260, lr=0.107250, batch loss=0.013667, epoch loss=0.111180 Batch=719, step=22320, lr=0.107250, batch loss=0.027608, epoch loss=0.138788 Batch=779, step=22380, lr=0.107000, batch loss=0.043087, epoch loss=0.181875 Batch=839, step=22440, lr=0.106500, batch loss=0.021960, epoch loss=0.203835 Batch=899, step=22500, lr=0.106250, batch loss=0.021300, epoch loss=0.225135 Batch=959, step=22560, lr=0.106000, batch loss=0.011006, epoch loss=0.236142 Batch=1019, step=22620, lr=0.105750, batch loss=0.009913, epoch loss=0.246055 Batch=1079, step=22680, lr=0.105750, batch loss=0.000780, epoch loss=0.246835 Batch=1139, step=22740, lr=0.105500, batch loss=0.009797, epoch loss=0.256632 Batch=1199, step=22800, lr=0.105000, batch loss=0.004975, epoch loss=0.261607 Epoch=18, step=22800, lr=0.105000, epoch loss=0.261607 Batch=59, step=22860, lr=0.104750, batch loss=0.002245, epoch loss=0.002245 Batch=119, step=22920, lr=0.104500, batch loss=0.005414, epoch loss=0.007659 Batch=179, step=22980, lr=0.104250, batch loss=0.011854, epoch loss=0.019513 Batch=239, step=23040, lr=0.104000, batch loss=0.009043, epoch loss=0.028556 Batch=299, step=23100, lr=0.103750, batch loss=0.010937, epoch loss=0.039493 Batch=359, step=23160, lr=0.103500, batch loss=0.013150, epoch loss=0.052644 Batch=419, step=23220, lr=0.103250, batch loss=0.011712, epoch loss=0.064356 Batch=479, step=23280, lr=0.103250, batch loss=0.002729, epoch loss=0.067085 Batch=539, step=23340, lr=0.103000, batch loss=0.016666, epoch loss=0.083751 Batch=599, step=23400, lr=0.102500, batch loss=0.013953, epoch loss=0.097705 Batch=659, step=23460, lr=0.102250, batch loss=0.011210, epoch loss=0.108914 Batch=719, step=23520, lr=0.102000, batch loss=0.013488, epoch loss=0.122402 Batch=779, step=23580, lr=0.101750, batch loss=0.024388, epoch loss=0.146791 Batch=839, step=23640, lr=0.101500, batch loss=0.025864, epoch loss=0.172654 Batch=899, step=23700, lr=0.101250, batch loss=0.022737, epoch loss=0.195391 Batch=959, step=23760, lr=0.101000, batch loss=0.008885, epoch loss=0.204276 Batch=1019, step=23820, lr=0.100750, batch loss=0.008232, epoch loss=0.212508 Batch=1079, step=23880, lr=0.100500, batch loss=0.000696, epoch loss=0.213204 Batch=1139, step=23940, lr=0.100250, batch loss=0.009339, epoch loss=0.222543 Batch=1199, step=24000, lr=0.100000, batch loss=0.004305, epoch loss=0.226848 Epoch=19, step=24000, lr=0.100000, epoch loss=0.226848 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**************..******************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:23.09 ---> saved as "26e64314aa69cecc78d5acec52ea1228b1327f7724deb8d591966c98f699b853" Job succeeded 2025-03-21 15:23.10: Job succeeded