2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 4ee46a20 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 22:11.56: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-20 22:11.56: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 22:11.56: Waiting for resource in pool OCluster 2025-03-20 22:11.56: Waiting for worker… 2025-03-20 22:16.06: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 4ee46a20 Update GitHub actions (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-20 22:16.07 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:16.07 ---> using "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" 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 [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:16.07 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-20 22:16.07 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:16.07 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" 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 a8ed476033..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:16.07 ---> using "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:16.07 ---> using "b68856cc9fdb5adde2f44cb80bd2b7d98628491444092dc1e4cb5c2b933834ac" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:16.07 ---> using "8f98fdff0f4a9126e2dae3bfaee5ea787e82f9284ad1f673addd07cc348ca6ca" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:16.07 ---> using "d439651848c11ffde7654c863f03bda63ab79e9ab72a318c9e8cf2c6fca47186" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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" - Hit:1 http://deb.debian.org/debian bookworm InRelease - 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-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 0s (823 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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:amd64. - (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 ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-20 22:16.07 ---> using "26683538ca59c0b8cdaafd23e2d04c07b87e15b3b98bb56fc3637e9ee7a37871" 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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-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 v0.17.0 - 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 angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (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) -> 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_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 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 ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> 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 ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> 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_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:16.07 ---> using "3e5792a3c33a71366692cd31550bb58637ff47145c556a161daabbb4d2ef136a" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:16.09 ---> saved as "db197a65674e66a8f6d8cf47f243edb65c0b2dfcd1485f8c9a7322bad9c27eff" /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/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/3afa83330d192f7ef97e8c318d5f9e96/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752 Batch=419, step=420, lr=0.198250, batch loss=0.621517, epoch loss=39.020269 Batch=479, step=480, lr=0.198250, batch loss=0.818033, epoch loss=39.838301 Batch=539, step=540, lr=0.198000, batch loss=0.698964, epoch loss=40.537265 Batch=599, step=600, lr=0.197500, batch loss=1.073923, epoch loss=41.611188 Batch=659, step=660, lr=0.197250, batch loss=0.482736, epoch loss=42.093924 Batch=719, step=720, lr=0.197000, batch loss=0.411546, epoch loss=42.505470 Batch=779, step=780, lr=0.196750, batch loss=0.470057, epoch loss=42.975527 Batch=839, step=840, lr=0.196500, batch loss=0.444408, epoch loss=43.419935 Batch=899, step=900, lr=0.196250, batch loss=0.383478, epoch loss=43.803412 Batch=959, step=960, lr=0.196250, batch loss=0.241826, epoch loss=44.045238 Batch=1019, step=1020, lr=0.196000, batch loss=0.457730, epoch loss=44.502968 Batch=1079, step=1080, lr=0.195500, batch loss=0.251775, epoch loss=44.754744 Batch=1139, step=1140, lr=0.195500, batch loss=0.329602, epoch loss=45.084346 Batch=1199, step=1200, lr=0.195250, batch loss=0.264152, epoch loss=45.348498 Epoch=0, step=1200, lr=0.195250, epoch loss=45.348498 Batch=59, step=1260, lr=0.195000, batch loss=0.262797, epoch loss=0.262797 Batch=119, step=1320, lr=0.194750, batch loss=0.204327, epoch loss=0.467123 Batch=179, step=1380, lr=0.194500, batch loss=0.244071, epoch loss=0.711195 Batch=239, step=1440, lr=0.194250, batch loss=0.347044, epoch loss=1.058239 Batch=299, step=1500, lr=0.193750, batch loss=0.238266, epoch loss=1.296505 Batch=359, step=1560, lr=0.193750, batch loss=0.310827, epoch loss=1.607332 Batch=419, step=1620, lr=0.193500, batch loss=0.310081, epoch loss=1.917413 Batch=479, step=1680, lr=0.193000, batch loss=0.274643, epoch loss=2.192056 Batch=539, step=1740, lr=0.192750, batch loss=0.212013, epoch loss=2.404069 Batch=599, step=1800, lr=0.192500, batch loss=0.260009, epoch loss=2.664078 Batch=659, step=1860, lr=0.192250, batch loss=0.377853, epoch loss=3.041932 Batch=719, step=1920, lr=0.192000, batch loss=0.356491, epoch loss=3.398423 Batch=779, step=1980, lr=0.191750, batch loss=0.388669, epoch loss=3.787091 Batch=839, step=2040, lr=0.191500, batch loss=0.345340, epoch loss=4.132431 Batch=899, step=2100, lr=0.191500, batch loss=0.320649, epoch loss=4.453081 Batch=959, step=2160, lr=0.191000, batch loss=0.258492, epoch loss=4.711573 Batch=1019, step=2220, lr=0.190750, batch loss=0.386049, epoch loss=5.097622 Batch=1079, step=2280, lr=0.190500, batch loss=0.208221, epoch loss=5.305843 Batch=1139, step=2340, lr=0.190250, batch loss=0.256684, epoch loss=5.562527 Batch=1199, step=2400, lr=0.190250, batch loss=0.211497, epoch loss=5.774024 Epoch=1, step=2400, lr=0.190250, epoch loss=5.774024 Batch=59, step=2460, lr=0.189750, batch loss=0.233236, epoch loss=0.233236 Batch=119, step=2520, lr=0.189750, batch loss=0.195828, epoch loss=0.429065 Batch=179, step=2580, lr=0.189500, batch loss=0.221286, epoch loss=0.650351 Batch=239, step=2640, lr=0.189250, batch loss=0.328211, epoch loss=0.978562 Batch=299, step=2700, lr=0.188750, batch loss=0.204923, epoch loss=1.183485 Batch=359, step=2760, lr=0.188750, batch loss=0.287714, epoch loss=1.471199 Batch=419, step=2820, lr=0.188250, batch loss=0.280864, epoch loss=1.752063 Batch=479, step=2880, lr=0.188250, batch loss=0.252396, epoch loss=2.004459 Batch=539, step=2940, lr=0.188000, batch loss=0.192164, epoch loss=2.196623 Batch=599, step=3000, lr=0.187750, batch loss=0.226756, epoch loss=2.423379 Batch=659, step=3060, lr=0.187500, batch loss=0.336879, epoch loss=2.760258 Batch=719, step=3120, lr=0.187250, batch loss=0.330936, epoch loss=3.091194 Batch=779, step=3180, lr=0.187000, batch loss=0.352575, epoch loss=3.443769 Batch=839, step=3240, lr=0.186500, batch loss=0.324494, epoch loss=3.768263 Batch=899, step=3300, lr=0.186250, batch loss=0.294187, epoch loss=4.062450 Batch=959, step=3360, lr=0.186000, batch loss=0.234743, epoch loss=4.297193 Batch=1019, step=3420, lr=0.185750, batch loss=0.339509, epoch loss=4.636702 Batch=1079, step=3480, lr=0.185750, batch loss=0.190034, epoch loss=4.826736 Batch=1139, step=3540, lr=0.185250, batch loss=0.227782, epoch loss=5.054518 Batch=1199, step=3600, lr=0.185250, batch loss=0.201767, epoch loss=5.256285 Epoch=2, step=3600, lr=0.185250, epoch loss=5.256285 Batch=59, step=3660, lr=0.184750, batch loss=0.238393, epoch loss=0.238393 Batch=119, step=3720, lr=0.184750, batch loss=0.202161, epoch loss=0.440554 Batch=179, step=3780, lr=0.184250, batch loss=0.210737, epoch loss=0.651291 Batch=239, step=3840, lr=0.184000, batch loss=0.315983, epoch loss=0.967274 Batch=299, step=3900, lr=0.184000, batch loss=0.204625, epoch loss=1.171899 Batch=359, step=3960, lr=0.183750, batch loss=0.281742, epoch loss=1.453640 Batch=419, step=4020, lr=0.183250, batch loss=0.271745, epoch loss=1.725385 Batch=479, step=4080, lr=0.183250, batch loss=0.248468, epoch loss=1.973853 Batch=539, step=4140, lr=0.182750, batch loss=0.195399, epoch loss=2.169252 Batch=599, step=4200, lr=0.182750, batch loss=0.241731, epoch loss=2.410983 Batch=659, step=4260, lr=0.182500, batch loss=0.327707, epoch loss=2.738691 Batch=719, step=4320, lr=0.182000, batch loss=0.328958, epoch loss=3.067649 Batch=779, step=4380, lr=0.182000, batch loss=0.348995, epoch loss=3.416643 Batch=839, step=4440, lr=0.181750, batch loss=0.319718, epoch loss=3.736361 Batch=899, step=4500, lr=0.181500, batch loss=0.289147, epoch loss=4.025509 Batch=959, step=4560, lr=0.181250, batch loss=0.246747, epoch loss=4.272256 Batch=1019, step=4620, lr=0.181000, batch loss=0.369855, epoch loss=4.642111 Batch=1079, step=4680, lr=0.180750, batch loss=0.214114, epoch loss=4.856225 Batch=1139, step=4740, lr=0.180500, batch loss=0.250826, epoch loss=5.107051 Batch=1199, step=4800, lr=0.180250, batch loss=0.191246, epoch loss=5.298298 Epoch=3, step=4800, lr=0.180250, epoch loss=5.298298 Batch=59, step=4860, lr=0.180000, batch loss=0.228801, epoch loss=0.228801 Batch=119, step=4920, lr=0.179750, batch loss=0.188720, epoch loss=0.417521 Batch=179, step=4980, lr=0.179500, batch loss=0.206489, epoch loss=0.624010 Batch=239, step=5040, lr=0.179250, batch loss=0.310086, epoch loss=0.934096 Batch=299, step=5100, lr=0.179000, batch loss=0.204022, epoch loss=1.138118 Batch=359, step=5160, lr=0.178750, batch loss=0.271637, epoch loss=1.409754 Batch=419, step=5220, lr=0.178500, batch loss=0.264357, epoch loss=1.674111 Batch=479, step=5280, lr=0.178250, batch loss=0.239986, epoch loss=1.914097 Batch=539, step=5340, lr=0.178000, batch loss=0.189829, epoch loss=2.103926 Batch=599, step=5400, lr=0.177500, batch loss=0.231575, epoch loss=2.335502 Batch=659, step=5460, lr=0.177500, batch loss=0.323556, epoch loss=2.659058 Batch=719, step=5520, lr=0.177250, batch loss=0.325812, epoch loss=2.984870 Batch=779, step=5580, lr=0.177000, batch loss=0.343411, epoch loss=3.328280 Batch=839, step=5640, lr=0.176500, batch loss=0.308533, epoch loss=3.636813 Batch=899, step=5700, lr=0.176500, batch loss=0.273462, epoch loss=3.910276 Batch=959, step=5760, lr=0.176250, batch loss=0.212779, epoch loss=4.123055 Batch=1019, step=5820, lr=0.175750, batch loss=0.337286, epoch loss=4.460341 Batch=1079, step=5880, lr=0.175750, batch loss=0.204326, epoch loss=4.664666 Batch=1139, step=5940, lr=0.175500, batch loss=0.239907, epoch loss=4.904573 Batch=1199, step=6000, lr=0.175000, batch loss=0.187437, epoch loss=5.092010 Epoch=4, step=6000, lr=0.175000, epoch loss=5.092010 Batch=59, step=6060, lr=0.174750, batch loss=0.229030, epoch loss=0.229030 Batch=119, step=6120, lr=0.174750, batch loss=0.186859, epoch loss=0.415889 Batch=179, step=6180, lr=0.174250, batch loss=0.201257, epoch loss=0.617146 Batch=239, step=6240, lr=0.174250, batch loss=0.301323, epoch loss=0.918469 Batch=299, step=6300, lr=0.174000, batch loss=0.210673, epoch loss=1.129142 Batch=359, step=6360, lr=0.173500, batch loss=0.273428, epoch loss=1.402571 Batch=419, step=6420, lr=0.173250, batch loss=0.265904, epoch loss=1.668475 Batch=479, step=6480, lr=0.173250, batch loss=0.241471, epoch loss=1.909945 Batch=539, step=6540, lr=0.172750, batch loss=0.194042, epoch loss=2.103987 Batch=599, step=6600, lr=0.172750, batch loss=0.232933, epoch loss=2.336920 Batch=659, step=6660, lr=0.172500, batch loss=0.313029, epoch loss=2.649949 Batch=719, step=6720, lr=0.172250, batch loss=0.319946, epoch loss=2.969895 Batch=779, step=6780, lr=0.172000, batch loss=0.337611, epoch loss=3.307506 Batch=839, step=6840, lr=0.171750, batch loss=0.300767, epoch loss=3.608273 Batch=899, step=6900, lr=0.171500, batch loss=0.270106, epoch loss=3.878379 Batch=959, step=6960, lr=0.171250, batch loss=0.204082, epoch loss=4.082461 Batch=1019, step=7020, lr=0.171000, batch loss=0.334583, epoch loss=4.417044 Batch=1079, step=7080, lr=0.170750, batch loss=0.188418, epoch loss=4.605462 Batch=1139, step=7140, lr=0.170500, batch loss=0.220998, epoch loss=4.826460 Batch=1199, step=7200, lr=0.170250, batch loss=0.178310, epoch loss=5.004770 Epoch=5, step=7200, lr=0.170250, epoch loss=5.004770 Batch=59, step=7260, lr=0.170000, batch loss=0.221269, epoch loss=0.221269 Batch=119, step=7320, lr=0.169750, batch loss=0.183872, epoch loss=0.405141 Batch=179, step=7380, lr=0.169500, batch loss=0.196325, epoch loss=0.601466 Batch=239, step=7440, lr=0.169250, batch loss=0.291545, epoch loss=0.893011 Batch=299, step=7500, lr=0.169000, batch loss=0.200464, epoch loss=1.093475 Batch=359, step=7560, lr=0.168750, batch loss=0.257034, epoch loss=1.350509 Batch=419, step=7620, lr=0.168500, batch loss=0.251116, epoch loss=1.601625 Batch=479, step=7680, lr=0.168250, batch loss=0.228287, epoch loss=1.829912 Batch=539, step=7740, lr=0.168000, batch loss=0.181325, epoch loss=2.011237 Batch=599, step=7800, lr=0.167750, batch loss=0.219818, epoch loss=2.231055 Batch=659, step=7860, lr=0.167500, batch loss=0.305808, epoch loss=2.536863 Batch=719, step=7920, lr=0.167250, batch loss=0.308249, epoch loss=2.845112 Batch=779, step=7980, lr=0.167000, batch loss=0.329486, epoch loss=3.174598 Batch=839, step=8040, lr=0.166750, batch loss=0.290425, epoch loss=3.465023 Batch=899, step=8100, lr=0.166500, batch loss=0.252968, epoch loss=3.717991 Batch=959, step=8160, lr=0.166250, batch loss=0.187826, epoch loss=3.905817 Batch=1019, step=8220, lr=0.166000, batch loss=0.288828, epoch loss=4.194644 Batch=1079, step=8280, lr=0.165750, batch loss=0.171089, epoch loss=4.365733 Batch=1139, step=8340, lr=0.165500, batch loss=0.206376, epoch loss=4.572109 Batch=1199, step=8400, lr=0.165250, batch loss=0.178771, epoch loss=4.750880 Epoch=6, step=8400, lr=0.165250, epoch loss=4.750880 Batch=59, step=8460, lr=0.165000, batch loss=0.227730, epoch loss=0.227730 Batch=119, step=8520, lr=0.164750, batch loss=0.175125, epoch loss=0.402855 Batch=179, step=8580, lr=0.164500, batch loss=0.186292, epoch loss=0.589148 Batch=239, step=8640, lr=0.164250, batch loss=0.275480, epoch loss=0.864628 Batch=299, step=8700, lr=0.164000, batch loss=0.192098, epoch loss=1.056726 Batch=359, step=8760, lr=0.163750, batch loss=0.247682, epoch loss=1.304408 Batch=419, step=8820, lr=0.163250, batch loss=0.243786, epoch loss=1.548194 Batch=479, step=8880, lr=0.163250, batch loss=0.228494, epoch loss=1.776688 Batch=539, step=8940, lr=0.163000, batch loss=0.177221, epoch loss=1.953909 Batch=599, step=9000, lr=0.162500, batch loss=0.218324, epoch loss=2.172233 Batch=659, step=9060, lr=0.162500, batch loss=0.292438, epoch loss=2.464671 Batch=719, step=9120, lr=0.162250, batch loss=0.295200, epoch loss=2.759871 Batch=779, step=9180, lr=0.162000, batch loss=0.313347, epoch loss=3.073218 Batch=839, step=9240, lr=0.161750, batch loss=0.280910, epoch loss=3.354128 Batch=899, step=9300, lr=0.161500, batch loss=0.252486, epoch loss=3.606614 Batch=959, step=9360, lr=0.161250, batch loss=0.186790, epoch loss=3.793404 Batch=1019, step=9420, lr=0.161000, batch loss=0.320719, epoch loss=4.114123 Batch=1079, step=9480, lr=0.160750, batch loss=0.195982, epoch loss=4.310105 Batch=1139, step=9540, lr=0.160500, batch loss=0.212855, epoch loss=4.522960 Batch=1199, step=9600, lr=0.160250, batch loss=0.168162, epoch loss=4.691122 Epoch=7, step=9600, lr=0.160250, epoch loss=4.691122 Batch=59, step=9660, lr=0.160000, batch loss=0.206515, epoch loss=0.206515 Batch=119, step=9720, lr=0.159750, batch loss=0.172947, epoch loss=0.379462 Batch=179, step=9780, lr=0.159500, batch loss=0.178747, epoch loss=0.558209 Batch=239, step=9840, lr=0.159250, batch loss=0.260179, epoch loss=0.818387 Batch=299, step=9900, lr=0.159000, batch loss=0.178919, epoch loss=0.997306 Batch=359, step=9960, lr=0.158750, batch loss=0.234120, epoch loss=1.231426 Batch=419, step=10020, lr=0.158500, batch loss=0.230653, epoch loss=1.462080 Batch=479, step=10080, lr=0.158000, batch loss=0.211755, epoch loss=1.673835 Batch=539, step=10140, lr=0.157750, batch loss=0.170987, epoch loss=1.844822 Batch=599, step=10200, lr=0.157500, batch loss=0.199558, epoch loss=2.044380 Batch=659, step=10260, lr=0.157250, batch loss=0.282508, epoch loss=2.326888 Batch=719, step=10320, lr=0.157000, batch loss=0.288731, epoch loss=2.615619 Batch=779, step=10380, lr=0.157000, batch loss=0.295187, epoch loss=2.910806 Batch=839, step=10440, lr=0.156750, batch loss=0.267716, epoch loss=3.178522 Batch=899, step=10500, lr=0.156500, batch loss=0.241891, epoch loss=3.420413 Batch=959, step=10560, lr=0.156250, batch loss=0.198842, epoch loss=3.619255 Batch=1019, step=10620, lr=0.156000, batch loss=0.292190, epoch loss=3.911444 Batch=1079, step=10680, lr=0.155750, batch loss=0.179744, epoch loss=4.091188 Batch=1139, step=10740, lr=0.155500, batch loss=0.203861, epoch loss=4.295049 Batch=1199, step=10800, lr=0.155250, batch loss=0.155197, epoch loss=4.450246 Epoch=8, step=10800, lr=0.155250, epoch loss=4.450246 Batch=59, step=10860, lr=0.155000, batch loss=0.176551, epoch loss=0.176551 Batch=119, step=10920, lr=0.154750, batch loss=0.146994, epoch loss=0.323545 Batch=179, step=10980, lr=0.154500, batch loss=0.166178, epoch loss=0.489723 Batch=239, step=11040, lr=0.154000, batch loss=0.241977, epoch loss=0.731699 Batch=299, step=11100, lr=0.154000, batch loss=0.169134, epoch loss=0.900833 Batch=359, step=11160, lr=0.153500, batch loss=0.219552, epoch loss=1.120385 Batch=419, step=11220, lr=0.153500, batch loss=0.215042, epoch loss=1.335427 Batch=479, step=11280, lr=0.153250, batch loss=0.212155, epoch loss=1.547583 Batch=539, step=11340, lr=0.153000, batch loss=0.168374, epoch loss=1.715957 Batch=599, step=11400, lr=0.152750, batch loss=0.174742, epoch loss=1.890699 Batch=659, step=11460, lr=0.152500, batch loss=0.261200, epoch loss=2.151900 Batch=719, step=11520, lr=0.152000, batch loss=0.266276, epoch loss=2.418176 Batch=779, step=11580, lr=0.152000, batch loss=0.270393, epoch loss=2.688569 Batch=839, step=11640, lr=0.151500, batch loss=0.252221, epoch loss=2.940790 Batch=899, step=11700, lr=0.151500, batch loss=0.217274, epoch loss=3.158064 Batch=959, step=11760, lr=0.151000, batch loss=0.187092, epoch loss=3.345156 Batch=1019, step=11820, lr=0.151000, batch loss=0.289122, epoch loss=3.634277 Batch=1079, step=11880, lr=0.150750, batch loss=0.147265, epoch loss=3.781542 Batch=1139, step=11940, lr=0.150500, batch loss=0.179245, epoch loss=3.960787 Batch=1199, step=12000, lr=0.150250, batch loss=0.139342, epoch loss=4.100129 Epoch=9, step=12000, lr=0.150250, epoch loss=4.100129 Batch=59, step=12060, lr=0.150000, batch loss=0.159442, epoch loss=0.159442 Batch=119, step=12120, lr=0.149500, batch loss=0.127704, epoch loss=0.287146 Batch=179, step=12180, lr=0.149500, batch loss=0.151895, epoch loss=0.439041 Batch=239, step=12240, lr=0.149250, batch loss=0.219367, epoch loss=0.658408 Batch=299, step=12300, lr=0.149000, batch loss=0.140510, epoch loss=0.798918 Batch=359, step=12360, lr=0.148500, batch loss=0.197441, epoch loss=0.996360 Batch=419, step=12420, lr=0.148500, batch loss=0.203990, epoch loss=1.200350 Batch=479, step=12480, lr=0.148000, batch loss=0.180664, epoch loss=1.381014 Batch=539, step=12540, lr=0.148000, batch loss=0.141399, epoch loss=1.522413 Batch=599, step=12600, lr=0.147500, batch loss=0.152171, epoch loss=1.674584 Batch=659, step=12660, lr=0.147500, batch loss=0.230047, epoch loss=1.904631 Batch=719, step=12720, lr=0.147250, batch loss=0.227393, epoch loss=2.132024 Batch=779, step=12780, lr=0.147000, batch loss=0.242405, epoch loss=2.374428 Batch=839, step=12840, lr=0.146500, batch loss=0.225173, epoch loss=2.599601 Batch=899, step=12900, lr=0.146500, batch loss=0.185663, epoch loss=2.785265 Batch=959, step=12960, lr=0.146250, batch loss=0.143953, epoch loss=2.929218 Batch=1019, step=13020, lr=0.146000, batch loss=0.243034, epoch loss=3.172252 Batch=1079, step=13080, lr=0.145750, batch loss=0.110486, epoch loss=3.282738 Batch=1139, step=13140, lr=0.145250, batch loss=0.149784, epoch loss=3.432522 Batch=1199, step=13200, lr=0.145250, batch loss=0.116746, epoch loss=3.549268 Epoch=10, step=13200, lr=0.145250, epoch loss=3.549268 Batch=59, step=13260, lr=0.145000, batch loss=0.134078, epoch loss=0.134078 Batch=119, step=13320, lr=0.144750, batch loss=0.111976, epoch loss=0.246054 Batch=179, step=13380, lr=0.144500, batch loss=0.126967, epoch loss=0.373021 Batch=239, step=13440, lr=0.144250, batch loss=0.185012, epoch loss=0.558033 Batch=299, step=13500, lr=0.144000, batch loss=0.117289, epoch loss=0.675322 Batch=359, step=13560, lr=0.143750, batch loss=0.160588, epoch loss=0.835910 Batch=419, step=13620, lr=0.143500, batch loss=0.161716, epoch loss=0.997626 Batch=479, step=13680, lr=0.143250, batch loss=0.146281, epoch loss=1.143907 Batch=539, step=13740, lr=0.143000, batch loss=0.118483, epoch loss=1.262391 Batch=599, step=13800, lr=0.142750, batch loss=0.120088, epoch loss=1.382479 Batch=659, step=13860, lr=0.142500, batch loss=0.175315, epoch loss=1.557794 Batch=719, step=13920, lr=0.142250, batch loss=0.177503, epoch loss=1.735297 Batch=779, step=13980, lr=0.141750, batch loss=0.196574, epoch loss=1.931871 Batch=839, step=14040, lr=0.141750, batch loss=0.186393, epoch loss=2.118265 Batch=899, step=14100, lr=0.141500, batch loss=0.157049, epoch loss=2.275314 Batch=959, step=14160, lr=0.141250, batch loss=0.137551, epoch loss=2.412865 Batch=1019, step=14220, lr=0.140750, batch loss=0.313303, epoch loss=2.726168 Batch=1079, step=14280, lr=0.140750, batch loss=0.082661, epoch loss=2.808829 Batch=1139, step=14340, lr=0.140500, batch loss=0.121666, epoch loss=2.930495 Batch=1199, step=14400, lr=0.140000, batch loss=0.090480, epoch loss=3.020975 Epoch=11, step=14400, lr=0.140000, epoch loss=3.020975 Batch=59, step=14460, lr=0.139750, batch loss=0.114644, epoch loss=0.114644 Batch=119, step=14520, lr=0.139750, batch loss=0.108074, epoch loss=0.222718 Batch=179, step=14580, lr=0.139500, batch loss=0.105437, epoch loss=0.328154 Batch=239, step=14640, lr=0.139000, batch loss=0.139326, epoch loss=0.467480 Batch=299, step=14700, lr=0.138750, batch loss=0.081685, epoch loss=0.549165 Batch=359, step=14760, lr=0.138750, batch loss=0.130899, epoch loss=0.680063 Batch=419, step=14820, lr=0.138500, batch loss=0.155418, epoch loss=0.835481 Batch=479, step=14880, lr=0.138000, batch loss=0.087397, epoch loss=0.922878 Batch=539, step=14940, lr=0.138000, batch loss=0.072606, epoch loss=0.995484 Batch=599, step=15000, lr=0.137750, batch loss=0.093542, epoch loss=1.089026 Batch=659, step=15060, lr=0.137250, batch loss=0.176310, epoch loss=1.265336 Batch=719, step=15120, lr=0.137250, batch loss=0.132249, epoch loss=1.397585 Batch=779, step=15180, lr=0.137000, batch loss=0.157340, epoch loss=1.554925 Batch=839, step=15240, lr=0.136500, batch loss=0.147485, epoch loss=1.702410 Batch=899, step=15300, lr=0.136500, batch loss=0.138230, epoch loss=1.840640 Batch=959, step=15360, lr=0.136000, batch loss=0.101709, epoch loss=1.942349 Batch=1019, step=15420, lr=0.135750, batch loss=0.203691, epoch loss=2.146040 Batch=1079, step=15480, lr=0.135750, batch loss=0.032133, epoch loss=2.178173 Batch=1139, step=15540, lr=0.135500, batch loss=0.080223, epoch loss=2.258397 Batch=1199, step=15600, lr=0.135000, batch loss=0.051648, epoch loss=2.310045 Epoch=12, step=15600, lr=0.135000, epoch loss=2.310045 Batch=59, step=15660, lr=0.134750, batch loss=0.088303, epoch loss=0.088303 Batch=119, step=15720, lr=0.134500, batch loss=0.154617, epoch loss=0.242920 Batch=179, step=15780, lr=0.134500, batch loss=0.102648, epoch loss=0.345568 Batch=239, step=15840, lr=0.134250, batch loss=0.100755, epoch loss=0.446324 Batch=299, step=15900, lr=0.134000, batch loss=0.052060, epoch loss=0.498383 Batch=359, step=15960, lr=0.133750, batch loss=0.111687, epoch loss=0.610071 Batch=419, step=16020, lr=0.133500, batch loss=0.077271, epoch loss=0.687342 Batch=479, step=16080, lr=0.133000, batch loss=0.051732, epoch loss=0.739074 Batch=539, step=16140, lr=0.133000, batch loss=0.062742, epoch loss=0.801817 Batch=599, step=16200, lr=0.132750, batch loss=0.053309, epoch loss=0.855126 Batch=659, step=16260, lr=0.132500, batch loss=0.075723, epoch loss=0.930848 Batch=719, step=16320, lr=0.132250, batch loss=0.071842, epoch loss=1.002691 Batch=779, step=16380, lr=0.132000, batch loss=0.070226, epoch loss=1.072917 Batch=839, step=16440, lr=0.131750, batch loss=0.099958, epoch loss=1.172875 Batch=899, step=16500, lr=0.131500, batch loss=0.164052, epoch loss=1.336927 Batch=959, step=16560, lr=0.131250, batch loss=0.051880, epoch loss=1.388808 Batch=1019, step=16620, lr=0.131000, batch loss=0.129377, epoch loss=1.518185 Batch=1079, step=16680, lr=0.130750, batch loss=0.026813, epoch loss=1.544997 Batch=1139, step=16740, lr=0.130500, batch loss=0.058937, epoch loss=1.603934 Batch=1199, step=16800, lr=0.130250, batch loss=0.028329, epoch loss=1.632263 Epoch=13, step=16800, lr=0.130250, epoch loss=1.632263 Batch=59, step=16860, lr=0.130000, batch loss=0.039940, epoch loss=0.039940 Batch=119, step=16920, lr=0.129750, batch loss=0.065741, epoch loss=0.105680 Batch=179, step=16980, lr=0.129500, batch loss=0.051364, epoch loss=0.157044 Batch=239, step=17040, lr=0.129250, batch loss=0.067787, epoch loss=0.224832 Batch=299, step=17100, lr=0.129000, batch loss=0.039057, epoch loss=0.263889 Batch=359, step=17160, lr=0.128750, batch loss=0.050748, epoch loss=0.314637 Batch=419, step=17220, lr=0.128250, batch loss=0.090817, epoch loss=0.405455 Batch=479, step=17280, lr=0.128250, batch loss=0.023347, epoch loss=0.428801 Batch=539, step=17340, lr=0.128000, batch loss=0.027918, epoch loss=0.456719 Batch=599, step=17400, lr=0.127500, batch loss=0.036120, epoch loss=0.492839 Batch=659, step=17460, lr=0.127500, batch loss=0.051851, epoch loss=0.544689 Batch=719, step=17520, lr=0.127250, batch loss=0.078113, epoch loss=0.622802 Batch=779, step=17580, lr=0.127000, batch loss=0.055947, epoch loss=0.678749 Batch=839, step=17640, lr=0.126750, batch loss=0.091382, epoch loss=0.770131 Batch=899, step=17700, lr=0.126500, batch loss=0.049120, epoch loss=0.819252 Batch=959, step=17760, lr=0.126250, batch loss=0.017544, epoch loss=0.836795 Batch=1019, step=17820, lr=0.126000, batch loss=0.038645, epoch loss=0.875440 Batch=1079, step=17880, lr=0.125750, batch loss=0.036417, epoch loss=0.911857 Batch=1139, step=17940, lr=0.125250, batch loss=0.075062, epoch loss=0.986919 Batch=1199, step=18000, lr=0.125250, batch loss=0.023507, epoch loss=1.010425 Epoch=14, step=18000, lr=0.125250, epoch loss=1.010425 Batch=59, step=18060, lr=0.124750, batch loss=0.015175, epoch loss=0.015175 Batch=119, step=18120, lr=0.124500, batch loss=0.018268, epoch loss=0.033442 Batch=179, step=18180, lr=0.124500, batch loss=0.029374, epoch loss=0.062816 Batch=239, step=18240, lr=0.124250, batch loss=0.035695, epoch loss=0.098511 Batch=299, step=18300, lr=0.124000, batch loss=0.012257, epoch loss=0.110768 Batch=359, step=18360, lr=0.123750, batch loss=0.023587, epoch loss=0.134356 Batch=419, step=18420, lr=0.123500, batch loss=0.030075, epoch loss=0.164430 Batch=479, step=18480, lr=0.123000, batch loss=0.015866, epoch loss=0.180297 Batch=539, step=18540, lr=0.123000, batch loss=0.026698, epoch loss=0.206995 Batch=599, step=18600, lr=0.122750, batch loss=0.025562, epoch loss=0.232556 Batch=659, step=18660, lr=0.122250, batch loss=0.027511, epoch loss=0.260068 Batch=719, step=18720, lr=0.122250, batch loss=0.025395, epoch loss=0.285463 Batch=779, step=18780, lr=0.121750, batch loss=0.047835, epoch loss=0.333298 Batch=839, step=18840, lr=0.121500, batch loss=0.065260, epoch loss=0.398558 Batch=899, step=18900, lr=0.121250, batch loss=0.039653, epoch loss=0.438211 Batch=959, step=18960, lr=0.121250, batch loss=0.016804, epoch loss=0.455015 Batch=1019, step=19020, lr=0.120750, batch loss=0.022797, epoch loss=0.477813 Batch=1079, step=19080, lr=0.120750, batch loss=0.011102, epoch loss=0.488914 Batch=1139, step=19140, lr=0.120250, batch loss=0.023812, epoch loss=0.512726 Batch=1199, step=19200, lr=0.120250, batch loss=0.010386, epoch loss=0.523112 Epoch=15, step=19200, lr=0.120250, epoch loss=0.523112 Batch=59, step=19260, lr=0.120000, batch loss=0.006187, epoch loss=0.006187 Batch=119, step=19320, lr=0.119750, batch loss=0.014212, epoch loss=0.020398 Batch=179, step=19380, lr=0.119500, batch loss=0.037292, epoch loss=0.057690 Batch=239, step=19440, lr=0.119000, batch loss=0.023692, epoch loss=0.081383 Batch=299, step=19500, lr=0.119000, batch loss=0.006375, epoch loss=0.087758 Batch=359, step=19560, lr=0.118750, batch loss=0.016344, epoch loss=0.104102 Batch=419, step=19620, lr=0.118500, batch loss=0.018948, epoch loss=0.123050 Batch=479, step=19680, lr=0.118250, batch loss=0.008386, epoch loss=0.131436 Batch=539, step=19740, lr=0.117750, batch loss=0.021232, epoch loss=0.152668 Batch=599, step=19800, lr=0.117750, batch loss=0.020750, epoch loss=0.173418 Batch=659, step=19860, lr=0.117500, batch loss=0.020164, epoch loss=0.193582 Batch=719, step=19920, lr=0.117250, batch loss=0.026885, epoch loss=0.220467 Batch=779, step=19980, lr=0.116750, batch loss=0.071887, epoch loss=0.292354 Batch=839, step=20040, lr=0.116750, batch loss=0.031703, epoch loss=0.324057 Batch=899, step=20100, lr=0.116500, batch loss=0.028085, epoch loss=0.352142 Batch=959, step=20160, lr=0.116250, batch loss=0.019524, epoch loss=0.371666 Batch=1019, step=20220, lr=0.115750, batch loss=0.024111, epoch loss=0.395777 Batch=1079, step=20280, lr=0.115750, batch loss=0.005107, epoch loss=0.400884 Batch=1139, step=20340, lr=0.115250, batch loss=0.013939, epoch loss=0.414824 Batch=1199, step=20400, lr=0.115250, batch loss=0.005950, epoch loss=0.420774 Epoch=16, step=20400, lr=0.115250, epoch loss=0.420774 Batch=59, step=20460, lr=0.115000, batch loss=0.003022, epoch loss=0.003022 Batch=119, step=20520, lr=0.114750, batch loss=0.008512, epoch loss=0.011534 Batch=179, step=20580, lr=0.114250, batch loss=0.015005, epoch loss=0.026539 Batch=239, step=20640, lr=0.114250, batch loss=0.013072, epoch loss=0.039611 Batch=299, step=20700, lr=0.113750, batch loss=0.004826, epoch loss=0.044437 Batch=359, step=20760, lr=0.113750, batch loss=0.015116, epoch loss=0.059553 Batch=419, step=20820, lr=0.113500, batch loss=0.015235, epoch loss=0.074788 Batch=479, step=20880, lr=0.113250, batch loss=0.005655, epoch loss=0.080443 Batch=539, step=20940, lr=0.113000, batch loss=0.017218, epoch loss=0.097661 Batch=599, step=21000, lr=0.112500, batch loss=0.018040, epoch loss=0.115701 Batch=659, step=21060, lr=0.112250, batch loss=0.014026, epoch loss=0.129727 Batch=719, step=21120, lr=0.112000, batch loss=0.044397, epoch loss=0.174124 Batch=779, step=21180, lr=0.111750, batch loss=0.071012, epoch loss=0.245136 Batch=839, step=21240, lr=0.111500, batch loss=0.025116, epoch loss=0.270252 Batch=899, step=21300, lr=0.111500, batch loss=0.029496, epoch loss=0.299748 Batch=959, step=21360, lr=0.111250, batch loss=0.010875, epoch loss=0.310623 Batch=1019, step=21420, lr=0.111000, batch loss=0.012851, epoch loss=0.323474 Batch=1079, step=21480, lr=0.110750, batch loss=0.002237, epoch loss=0.325710 Batch=1139, step=21540, lr=0.110250, batch loss=0.012787, epoch loss=0.338498 Batch=1199, step=21600, lr=0.110000, batch loss=0.005176, epoch loss=0.343674 Epoch=17, step=21600, lr=0.110000, epoch loss=0.343674 Batch=59, step=21660, lr=0.109750, batch loss=0.002571, epoch loss=0.002571 Batch=119, step=21720, lr=0.109500, batch loss=0.006980, epoch loss=0.009551 Batch=179, step=21780, lr=0.109250, batch loss=0.012710, epoch loss=0.022261 Batch=239, step=21840, lr=0.109250, batch loss=0.010219, epoch loss=0.032480 Batch=299, step=21900, lr=0.109000, batch loss=0.011236, epoch loss=0.043716 Batch=359, step=21960, lr=0.108750, batch loss=0.013942, epoch loss=0.057658 Batch=419, step=22020, lr=0.108500, batch loss=0.012776, epoch loss=0.070434 Batch=479, step=22080, lr=0.108250, batch loss=0.003053, epoch loss=0.073487 Batch=539, step=22140, lr=0.108000, batch loss=0.016886, epoch loss=0.090373 Batch=599, step=22200, lr=0.107750, batch loss=0.015501, epoch loss=0.105874 Batch=659, step=22260, lr=0.107500, batch loss=0.011113, epoch loss=0.116987 Batch=719, step=22320, lr=0.107250, batch loss=0.018612, epoch loss=0.135599 Batch=779, step=22380, lr=0.106750, batch loss=0.023431, epoch loss=0.159031 Batch=839, step=22440, lr=0.106750, batch loss=0.026172, epoch loss=0.185203 Batch=899, step=22500, lr=0.106500, batch loss=0.026978, epoch loss=0.212181 Batch=959, step=22560, lr=0.106250, batch loss=0.008831, epoch loss=0.221012 Batch=1019, step=22620, lr=0.106000, batch loss=0.008612, epoch loss=0.229624 Batch=1079, step=22680, lr=0.105750, batch loss=0.001053, epoch loss=0.230677 Batch=1139, step=22740, lr=0.105500, batch loss=0.010079, epoch loss=0.240757 Batch=1199, step=22800, lr=0.105250, batch loss=0.004884, epoch loss=0.245641 Epoch=18, step=22800, lr=0.105250, epoch loss=0.245641 Batch=59, step=22860, lr=0.105000, batch loss=0.001995, epoch loss=0.001995 Batch=119, step=22920, lr=0.104500, batch loss=0.005386, epoch loss=0.007381 Batch=179, step=22980, lr=0.104500, batch loss=0.011083, epoch loss=0.018464 Batch=239, step=23040, lr=0.104250, batch loss=0.008637, epoch loss=0.027102 Batch=299, step=23100, lr=0.103750, batch loss=0.009331, epoch loss=0.036433 Batch=359, step=23160, lr=0.103750, batch loss=0.013127, epoch loss=0.049560 Batch=419, step=23220, lr=0.103500, batch loss=0.011048, epoch loss=0.060608 Batch=479, step=23280, lr=0.103250, batch loss=0.004015, epoch loss=0.064622 Batch=539, step=23340, lr=0.103000, batch loss=0.014075, epoch loss=0.078697 Batch=599, step=23400, lr=0.102750, batch loss=0.014730, epoch loss=0.093428 Batch=659, step=23460, lr=0.102500, batch loss=0.014755, epoch loss=0.108182 Batch=719, step=23520, lr=0.102000, batch loss=0.020246, epoch loss=0.128428 Batch=779, step=23580, lr=0.102000, batch loss=0.025933, epoch loss=0.154361 Batch=839, step=23640, lr=0.101750, batch loss=0.029013, epoch loss=0.183374 Batch=899, step=23700, lr=0.101500, batch loss=0.021409, epoch loss=0.204783 Batch=959, step=23760, lr=0.101250, batch loss=0.009772, epoch loss=0.214554 Batch=1019, step=23820, lr=0.101000, batch loss=0.007631, epoch loss=0.222186 Batch=1079, step=23880, lr=0.100750, batch loss=0.000929, epoch loss=0.223115 Batch=1139, step=23940, lr=0.100500, batch loss=0.009004, epoch loss=0.232119 Batch=1199, step=24000, lr=0.100250, batch loss=0.004553, epoch loss=0.236672 Epoch=19, step=24000, lr=0.100250, epoch loss=0.236672 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:18.23 ---> saved as "779c43321beb8d3a0715bb0e95fffa0c3a99b6a9afc220c7967783daccaaa54c" Job succeeded 2025-03-20 22:18.26: Job succeeded