2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (linux-x86_64:debian-12-5.3_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f874a4ef cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51 # debian-12-5.3_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 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51-debian-12-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 12:35.26: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) (comment debian-12-5.3_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 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:37.11: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) 2025-03-21 12:39.59 ---> saved as "4c4507dc2c915bc2fe880d11485a066845ce2ccaf87ae0c7a8ec26d34c0670c5" /: (comment debian-12-5.3_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 12:40.00 ---> saved as "172407e1e661134309aea2eb4045783b25179cce1174e2b787c71a0e229d6f99" /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 2025-03-21 12:41.51 ---> saved as "09dad00ef8e83b2a63e7fe35b5cddf78fe4785748596ca052e2c9a3bfcd80b21" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 12:41.52 ---> saved as "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:41.52 ---> saved as "a6d2d725d9ab586b26e2389e81730115d2ead44f3f6db0f5c35ba85c11f7e8a2" /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 12:43.35 ---> saved as "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:43.35 ---> saved as "58a53e2a3dd4d132e7b94535201b52d935bf6e768ec6163b1f46501d34443546" /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 12:43.42 ---> saved as "cb89076554ba8957a03621180f60934d6cf4212d458e883b14a9a41a2017d5ae" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:43.43 ---> saved as "18096c8c7e2d63a4fac760017a7ca2f078f9ec7b6b838a592e612464b9b5d3b4" /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 amd64 Packages [8792 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 9296 kB in 3s (3138 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-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: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+deb12u9) ... 2025-03-21 12:44.28 ---> saved as "cbad75e01466966f4e0a25626ca7a554e66e02ce762ea53b462d2c65de7b6f32" /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) -> 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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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 ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> 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-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed cppo.1.8.0 -> 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 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.v0.17.2 -> 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_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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) 2025-03-21 12:46.59 ---> saved as "fb82ddc3efb677dbe27b91a8d7e4ccbba191089e6f2b4759d2c9fec9271a24db" /src: (copy (src .) (dst /src)) 2025-03-21 12:47.00 ---> saved as "160d739e8ded294afa3d32a991683d64d632ae8fc1be712a2dd962dfbc9eedbb" /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/626e32fe5803412b2a6b3a08c26ff22b/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/3bceac504543c9b656837b3cc4f6e52c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/626e32fe5803412b2a6b3a08c26ff22b/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/626e32fe5803412b2a6b3a08c26ff22b/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=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.446818, epoch loss=37.063303 Batch=359, step=360, lr=0.198750, batch loss=1.336884, epoch loss=38.400187 Batch=419, step=420, lr=0.198500, batch loss=0.614503, epoch loss=39.014690 Batch=479, step=480, lr=0.198000, batch loss=0.794568, epoch loss=39.809258 Batch=539, step=540, lr=0.197750, batch loss=0.652264, epoch loss=40.461522 Batch=599, step=600, lr=0.197500, batch loss=1.082753, epoch loss=41.544275 Batch=659, step=660, lr=0.197250, batch loss=0.482694, epoch loss=42.026969 Batch=719, step=720, lr=0.197250, batch loss=0.412423, epoch loss=42.439392 Batch=779, step=780, lr=0.197000, batch loss=0.470752, epoch loss=42.910144 Batch=839, step=840, lr=0.196750, batch loss=0.445118, epoch loss=43.355261 Batch=899, step=900, lr=0.196500, batch loss=0.386195, epoch loss=43.741457 Batch=959, step=960, lr=0.196250, batch loss=0.250870, epoch loss=43.992327 Batch=1019, step=1020, lr=0.195750, batch loss=0.472013, epoch loss=44.464340 Batch=1079, step=1080, lr=0.195750, batch loss=0.246676, epoch loss=44.711016 Batch=1139, step=1140, lr=0.195500, batch loss=0.319695, epoch loss=45.030711 Batch=1199, step=1200, lr=0.195250, batch loss=0.265581, epoch loss=45.296292 Epoch=0, step=1200, lr=0.195250, epoch loss=45.296292 Batch=59, step=1260, lr=0.195000, batch loss=0.264082, epoch loss=0.264082 Batch=119, step=1320, lr=0.194750, batch loss=0.206423, epoch loss=0.470505 Batch=179, step=1380, lr=0.194500, batch loss=0.247152, epoch loss=0.717657 Batch=239, step=1440, lr=0.194250, batch loss=0.354032, epoch loss=1.071689 Batch=299, step=1500, lr=0.194000, batch loss=0.237462, epoch loss=1.309151 Batch=359, step=1560, lr=0.193500, batch loss=0.315073, epoch loss=1.624224 Batch=419, step=1620, lr=0.193250, batch loss=0.309395, epoch loss=1.933619 Batch=479, step=1680, lr=0.193250, batch loss=0.274521, epoch loss=2.208141 Batch=539, step=1740, lr=0.193000, batch loss=0.211055, epoch loss=2.419196 Batch=599, step=1800, lr=0.192750, batch loss=0.261533, epoch loss=2.680729 Batch=659, step=1860, lr=0.192250, batch loss=0.377727, epoch loss=3.058456 Batch=719, step=1920, lr=0.192000, batch loss=0.361723, epoch loss=3.420179 Batch=779, step=1980, lr=0.192000, batch loss=0.388484, epoch loss=3.808662 Batch=839, step=2040, lr=0.191750, batch loss=0.349571, epoch loss=4.158233 Batch=899, step=2100, lr=0.191500, batch loss=0.319541, epoch loss=4.477775 Batch=959, step=2160, lr=0.191250, batch loss=0.237576, epoch loss=4.715351 Batch=1019, step=2220, lr=0.191000, batch loss=0.329994, epoch loss=5.045344 Batch=1079, step=2280, lr=0.190750, batch loss=0.200407, epoch loss=5.245751 Batch=1139, step=2340, lr=0.190500, batch loss=0.268863, epoch loss=5.514614 Batch=1199, step=2400, lr=0.190250, batch loss=0.216535, epoch loss=5.731148 Epoch=1, step=2400, lr=0.190250, epoch loss=5.731148 Batch=59, step=2460, lr=0.190000, batch loss=0.229688, epoch loss=0.229688 Batch=119, step=2520, lr=0.189500, batch loss=0.187405, epoch loss=0.417093 Batch=179, step=2580, lr=0.189250, batch loss=0.222135, epoch loss=0.639228 Batch=239, step=2640, lr=0.189250, batch loss=0.341395, epoch loss=0.980623 Batch=299, step=2700, lr=0.189000, batch loss=0.219176, epoch loss=1.199799 Batch=359, step=2760, lr=0.188750, batch loss=0.299545, epoch loss=1.499344 Batch=419, step=2820, lr=0.188250, batch loss=0.289816, epoch loss=1.789160 Batch=479, step=2880, lr=0.188250, batch loss=0.261231, epoch loss=2.050391 Batch=539, step=2940, lr=0.188000, batch loss=0.198378, epoch loss=2.248769 Batch=599, step=3000, lr=0.187750, batch loss=0.239566, epoch loss=2.488335 Batch=659, step=3060, lr=0.187500, batch loss=0.351578, epoch loss=2.839913 Batch=719, step=3120, lr=0.187250, batch loss=0.346581, epoch loss=3.186494 Batch=779, step=3180, lr=0.187000, batch loss=0.365396, epoch loss=3.551890 Batch=839, step=3240, lr=0.186750, batch loss=0.325366, epoch loss=3.877255 Batch=899, step=3300, lr=0.186500, batch loss=0.290953, epoch loss=4.168208 Batch=959, step=3360, lr=0.186250, batch loss=0.215217, epoch loss=4.383425 Batch=1019, step=3420, lr=0.186000, batch loss=0.305214, epoch loss=4.688639 Batch=1079, step=3480, lr=0.185750, batch loss=0.170705, epoch loss=4.859344 Batch=1139, step=3540, lr=0.185250, batch loss=0.231980, epoch loss=5.091324 Batch=1199, step=3600, lr=0.185250, batch loss=0.198890, epoch loss=5.290214 Epoch=2, step=3600, lr=0.185250, epoch loss=5.290214 Batch=59, step=3660, lr=0.185000, batch loss=0.227933, epoch loss=0.227933 Batch=119, step=3720, lr=0.184750, batch loss=0.196332, epoch loss=0.424265 Batch=179, step=3780, lr=0.184500, batch loss=0.210901, epoch loss=0.635166 Batch=239, step=3840, lr=0.184250, batch loss=0.317913, epoch loss=0.953079 Batch=299, step=3900, lr=0.184000, batch loss=0.210405, epoch loss=1.163484 Batch=359, step=3960, lr=0.183750, batch loss=0.289550, epoch loss=1.453034 Batch=419, step=4020, lr=0.183250, batch loss=0.293560, epoch loss=1.746594 Batch=479, step=4080, lr=0.183250, batch loss=0.265784, epoch loss=2.012377 Batch=539, step=4140, lr=0.183000, batch loss=0.200479, epoch loss=2.212856 Batch=599, step=4200, lr=0.182750, batch loss=0.258392, epoch loss=2.471249 Batch=659, step=4260, lr=0.182500, batch loss=0.344926, epoch loss=2.816175 Batch=719, step=4320, lr=0.182000, batch loss=0.346393, epoch loss=3.162568 Batch=779, step=4380, lr=0.182000, batch loss=0.346915, epoch loss=3.509483 Batch=839, step=4440, lr=0.181750, batch loss=0.318115, epoch loss=3.827598 Batch=899, step=4500, lr=0.181500, batch loss=0.285140, epoch loss=4.112738 Batch=959, step=4560, lr=0.181250, batch loss=0.228180, epoch loss=4.340917 Batch=1019, step=4620, lr=0.181000, batch loss=0.334642, epoch loss=4.675559 Batch=1079, step=4680, lr=0.180750, batch loss=0.195881, epoch loss=4.871440 Batch=1139, step=4740, lr=0.180500, batch loss=0.229763, epoch loss=5.101203 Batch=1199, step=4800, lr=0.180250, batch loss=0.191847, epoch loss=5.293051 Epoch=3, step=4800, lr=0.180250, epoch loss=5.293051 Batch=59, step=4860, lr=0.180000, batch loss=0.224021, epoch loss=0.224021 Batch=119, step=4920, lr=0.179750, batch loss=0.187973, epoch loss=0.411994 Batch=179, step=4980, lr=0.179250, batch loss=0.205809, epoch loss=0.617802 Batch=239, step=5040, lr=0.179250, batch loss=0.308847, epoch loss=0.926649 Batch=299, step=5100, lr=0.178750, batch loss=0.206274, epoch loss=1.132924 Batch=359, step=5160, lr=0.178500, batch loss=0.277042, epoch loss=1.409966 Batch=419, step=5220, lr=0.178500, batch loss=0.273941, epoch loss=1.683907 Batch=479, step=5280, lr=0.178250, batch loss=0.248692, epoch loss=1.932599 Batch=539, step=5340, lr=0.177750, batch loss=0.198896, epoch loss=2.131495 Batch=599, step=5400, lr=0.177500, batch loss=0.239212, epoch loss=2.370707 Batch=659, step=5460, lr=0.177250, batch loss=0.320798, epoch loss=2.691505 Batch=719, step=5520, lr=0.177250, batch loss=0.325363, epoch loss=3.016868 Batch=779, step=5580, lr=0.177000, batch loss=0.339380, epoch loss=3.356248 Batch=839, step=5640, lr=0.176750, batch loss=0.314183, epoch loss=3.670431 Batch=899, step=5700, lr=0.176250, batch loss=0.279217, epoch loss=3.949648 Batch=959, step=5760, lr=0.176250, batch loss=0.218048, epoch loss=4.167696 Batch=1019, step=5820, lr=0.176000, batch loss=0.334617, epoch loss=4.502313 Batch=1079, step=5880, lr=0.175750, batch loss=0.197746, epoch loss=4.700059 Batch=1139, step=5940, lr=0.175250, batch loss=0.239018, epoch loss=4.939078 Batch=1199, step=6000, lr=0.175250, batch loss=0.186998, epoch loss=5.126076 Epoch=4, step=6000, lr=0.175250, epoch loss=5.126076 Batch=59, step=6060, lr=0.175000, batch loss=0.232603, epoch loss=0.232603 Batch=119, step=6120, lr=0.174750, batch loss=0.193155, epoch loss=0.425758 Batch=179, step=6180, lr=0.174500, batch loss=0.202318, epoch loss=0.628075 Batch=239, step=6240, lr=0.174000, batch loss=0.300189, epoch loss=0.928264 Batch=299, step=6300, lr=0.174000, batch loss=0.199047, epoch loss=1.127311 Batch=359, step=6360, lr=0.173750, batch loss=0.265530, epoch loss=1.392841 Batch=419, step=6420, lr=0.173500, batch loss=0.258312, epoch loss=1.651153 Batch=479, step=6480, lr=0.173250, batch loss=0.235318, epoch loss=1.886470 Batch=539, step=6540, lr=0.173000, batch loss=0.184708, epoch loss=2.071178 Batch=599, step=6600, lr=0.172750, batch loss=0.231640, epoch loss=2.302818 Batch=659, step=6660, lr=0.172500, batch loss=0.314834, epoch loss=2.617653 Batch=719, step=6720, lr=0.172000, batch loss=0.316428, epoch loss=2.934080 Batch=779, step=6780, lr=0.172000, batch loss=0.332325, epoch loss=3.266406 Batch=839, step=6840, lr=0.171750, batch loss=0.306311, epoch loss=3.572717 Batch=899, step=6900, lr=0.171250, batch loss=0.265067, epoch loss=3.837784 Batch=959, step=6960, lr=0.171250, batch loss=0.213331, epoch loss=4.051115 Batch=1019, step=7020, lr=0.171000, batch loss=0.325260, epoch loss=4.376375 Batch=1079, step=7080, lr=0.170750, batch loss=0.178871, epoch loss=4.555247 Batch=1139, step=7140, lr=0.170500, batch loss=0.215550, epoch loss=4.770796 Batch=1199, step=7200, lr=0.170250, batch loss=0.180990, epoch loss=4.951786 Epoch=5, step=7200, lr=0.170250, epoch loss=4.951786 Batch=59, step=7260, lr=0.169750, batch loss=0.221364, epoch loss=0.221364 Batch=119, step=7320, lr=0.169500, batch loss=0.184722, epoch loss=0.406087 Batch=179, step=7380, lr=0.169500, batch loss=0.195225, epoch loss=0.601311 Batch=239, step=7440, lr=0.169250, batch loss=0.290710, epoch loss=0.892021 Batch=299, step=7500, lr=0.169000, batch loss=0.201084, epoch loss=1.093105 Batch=359, step=7560, lr=0.168750, batch loss=0.260743, epoch loss=1.353849 Batch=419, step=7620, lr=0.168500, batch loss=0.257214, epoch loss=1.611063 Batch=479, step=7680, lr=0.168250, batch loss=0.238474, epoch loss=1.849536 Batch=539, step=7740, lr=0.168000, batch loss=0.188325, epoch loss=2.037861 Batch=599, step=7800, lr=0.167750, batch loss=0.224362, epoch loss=2.262223 Batch=659, step=7860, lr=0.167500, batch loss=0.305766, epoch loss=2.567989 Batch=719, step=7920, lr=0.167250, batch loss=0.308269, epoch loss=2.876258 Batch=779, step=7980, lr=0.167000, batch loss=0.321932, epoch loss=3.198190 Batch=839, step=8040, lr=0.166750, batch loss=0.296671, epoch loss=3.494861 Batch=899, step=8100, lr=0.166500, batch loss=0.259701, epoch loss=3.754562 Batch=959, step=8160, lr=0.166250, batch loss=0.208223, epoch loss=3.962785 Batch=1019, step=8220, lr=0.166000, batch loss=0.319482, epoch loss=4.282267 Batch=1079, step=8280, lr=0.165750, batch loss=0.170808, epoch loss=4.453075 Batch=1139, step=8340, lr=0.165500, batch loss=0.208085, epoch loss=4.661160 Batch=1199, step=8400, lr=0.165250, batch loss=0.175905, epoch loss=4.837065 Epoch=6, step=8400, lr=0.165250, epoch loss=4.837065 Batch=59, step=8460, lr=0.165000, batch loss=0.218640, epoch loss=0.218640 Batch=119, step=8520, lr=0.164500, batch loss=0.184418, epoch loss=0.403058 Batch=179, step=8580, lr=0.164500, batch loss=0.188084, epoch loss=0.591142 Batch=239, step=8640, lr=0.164250, batch loss=0.276922, epoch loss=0.868064 Batch=299, step=8700, lr=0.164000, batch loss=0.187731, epoch loss=1.055795 Batch=359, step=8760, lr=0.163750, batch loss=0.245068, epoch loss=1.300863 Batch=419, step=8820, lr=0.163250, batch loss=0.239532, epoch loss=1.540395 Batch=479, step=8880, lr=0.163000, batch loss=0.214642, epoch loss=1.755037 Batch=539, step=8940, lr=0.163000, batch loss=0.179505, epoch loss=1.934542 Batch=599, step=9000, lr=0.162750, batch loss=0.219766, epoch loss=2.154308 Batch=659, step=9060, lr=0.162250, batch loss=0.294102, epoch loss=2.448411 Batch=719, step=9120, lr=0.162250, batch loss=0.294845, epoch loss=2.743255 Batch=779, step=9180, lr=0.162000, batch loss=0.317004, epoch loss=3.060259 Batch=839, step=9240, lr=0.161750, batch loss=0.287238, epoch loss=3.347497 Batch=899, step=9300, lr=0.161250, batch loss=0.251461, epoch loss=3.598958 Batch=959, step=9360, lr=0.161250, batch loss=0.190511, epoch loss=3.789469 Batch=1019, step=9420, lr=0.161000, batch loss=0.321154, epoch loss=4.110623 Batch=1079, step=9480, lr=0.160750, batch loss=0.203404, epoch loss=4.314027 Batch=1139, step=9540, lr=0.160500, batch loss=0.219919, epoch loss=4.533946 Batch=1199, step=9600, lr=0.160250, batch loss=0.166600, epoch loss=4.700545 Epoch=7, step=9600, lr=0.160250, epoch loss=4.700545 Batch=59, step=9660, lr=0.160000, batch loss=0.198350, epoch loss=0.198350 Batch=119, step=9720, lr=0.159750, batch loss=0.166340, epoch loss=0.364690 Batch=179, step=9780, lr=0.159500, batch loss=0.179460, epoch loss=0.544150 Batch=239, step=9840, lr=0.159250, batch loss=0.263334, epoch loss=0.807484 Batch=299, step=9900, lr=0.159000, batch loss=0.182813, epoch loss=0.990297 Batch=359, step=9960, lr=0.158750, batch loss=0.242613, epoch loss=1.232910 Batch=419, step=10020, lr=0.158500, batch loss=0.235363, epoch loss=1.468273 Batch=479, step=10080, lr=0.158250, batch loss=0.221333, epoch loss=1.689606 Batch=539, step=10140, lr=0.158000, batch loss=0.171341, epoch loss=1.860947 Batch=599, step=10200, lr=0.157750, batch loss=0.204475, epoch loss=2.065422 Batch=659, step=10260, lr=0.157500, batch loss=0.281773, epoch loss=2.347195 Batch=719, step=10320, lr=0.157250, batch loss=0.285969, epoch loss=2.633164 Batch=779, step=10380, lr=0.157000, batch loss=0.295923, epoch loss=2.929087 Batch=839, step=10440, lr=0.156500, batch loss=0.267044, epoch loss=3.196131 Batch=899, step=10500, lr=0.156500, batch loss=0.242859, epoch loss=3.438989 Batch=959, step=10560, lr=0.156250, batch loss=0.197844, epoch loss=3.636833 Batch=1019, step=10620, lr=0.156000, batch loss=0.282387, epoch loss=3.919220 Batch=1079, step=10680, lr=0.155750, batch loss=0.179998, epoch loss=4.099218 Batch=1139, step=10740, lr=0.155500, batch loss=0.202477, epoch loss=4.301695 Batch=1199, step=10800, lr=0.155000, batch loss=0.154902, epoch loss=4.456597 Epoch=8, step=10800, lr=0.155000, epoch loss=4.456597 Batch=59, step=10860, lr=0.155000, batch loss=0.180310, epoch loss=0.180310 Batch=119, step=10920, lr=0.154500, batch loss=0.150478, epoch loss=0.330788 Batch=179, step=10980, lr=0.154250, batch loss=0.166382, epoch loss=0.497171 Batch=239, step=11040, lr=0.154000, batch loss=0.243684, epoch loss=0.740854 Batch=299, step=11100, lr=0.154000, batch loss=0.169385, epoch loss=0.910239 Batch=359, step=11160, lr=0.153750, batch loss=0.223312, epoch loss=1.133551 Batch=419, step=11220, lr=0.153500, batch loss=0.229732, epoch loss=1.363283 Batch=479, step=11280, lr=0.153250, batch loss=0.205458, epoch loss=1.568742 Batch=539, step=11340, lr=0.153000, batch loss=0.160882, epoch loss=1.729623 Batch=599, step=11400, lr=0.152750, batch loss=0.187150, epoch loss=1.916774 Batch=659, step=11460, lr=0.152500, batch loss=0.262501, epoch loss=2.179275 Batch=719, step=11520, lr=0.152250, batch loss=0.254214, epoch loss=2.433489 Batch=779, step=11580, lr=0.152000, batch loss=0.272399, epoch loss=2.705888 Batch=839, step=11640, lr=0.151750, batch loss=0.256940, epoch loss=2.962828 Batch=899, step=11700, lr=0.151250, batch loss=0.233919, epoch loss=3.196747 Batch=959, step=11760, lr=0.151250, batch loss=0.170743, epoch loss=3.367490 Batch=1019, step=11820, lr=0.150750, batch loss=0.264235, epoch loss=3.631725 Batch=1079, step=11880, lr=0.150750, batch loss=0.147497, epoch loss=3.779222 Batch=1139, step=11940, lr=0.150500, batch loss=0.183250, epoch loss=3.962472 Batch=1199, step=12000, lr=0.150250, batch loss=0.140205, epoch loss=4.102677 Epoch=9, step=12000, lr=0.150250, epoch loss=4.102677 Batch=59, step=12060, lr=0.150000, batch loss=0.161414, epoch loss=0.161414 Batch=119, step=12120, lr=0.149750, batch loss=0.138547, epoch loss=0.299961 Batch=179, step=12180, lr=0.149500, batch loss=0.151695, epoch loss=0.451656 Batch=239, step=12240, lr=0.149250, batch loss=0.220246, epoch loss=0.671902 Batch=299, step=12300, lr=0.149000, batch loss=0.144752, epoch loss=0.816654 Batch=359, step=12360, lr=0.148500, batch loss=0.199554, epoch loss=1.016207 Batch=419, step=12420, lr=0.148250, batch loss=0.207757, epoch loss=1.223964 Batch=479, step=12480, lr=0.148000, batch loss=0.180172, epoch loss=1.404136 Batch=539, step=12540, lr=0.148000, batch loss=0.143758, epoch loss=1.547894 Batch=599, step=12600, lr=0.147750, batch loss=0.150306, epoch loss=1.698200 Batch=659, step=12660, lr=0.147500, batch loss=0.227682, epoch loss=1.925882 Batch=719, step=12720, lr=0.147250, batch loss=0.238413, epoch loss=2.164295 Batch=779, step=12780, lr=0.147000, batch loss=0.266567, epoch loss=2.430863 Batch=839, step=12840, lr=0.146750, batch loss=0.234345, epoch loss=2.665208 Batch=899, step=12900, lr=0.146500, batch loss=0.208193, epoch loss=2.873401 Batch=959, step=12960, lr=0.146250, batch loss=0.143020, epoch loss=3.016421 Batch=1019, step=13020, lr=0.146000, batch loss=0.220326, epoch loss=3.236747 Batch=1079, step=13080, lr=0.145750, batch loss=0.112585, epoch loss=3.349332 Batch=1139, step=13140, lr=0.145500, batch loss=0.147694, epoch loss=3.497026 Batch=1199, step=13200, lr=0.145250, batch loss=0.117390, epoch loss=3.614416 Epoch=10, step=13200, lr=0.145250, epoch loss=3.614416 Batch=59, step=13260, lr=0.145000, batch loss=0.132043, epoch loss=0.132043 Batch=119, step=13320, lr=0.144750, batch loss=0.110263, epoch loss=0.242306 Batch=179, step=13380, lr=0.144500, batch loss=0.127320, epoch loss=0.369626 Batch=239, step=13440, lr=0.144250, batch loss=0.185738, epoch loss=0.555365 Batch=299, step=13500, lr=0.144000, batch loss=0.120050, epoch loss=0.675415 Batch=359, step=13560, lr=0.143750, batch loss=0.168914, epoch loss=0.844329 Batch=419, step=13620, lr=0.143500, batch loss=0.190152, epoch loss=1.034481 Batch=479, step=13680, lr=0.143250, batch loss=0.139618, epoch loss=1.174098 Batch=539, step=13740, lr=0.142750, batch loss=0.118623, epoch loss=1.292721 Batch=599, step=13800, lr=0.142750, batch loss=0.120723, epoch loss=1.413444 Batch=659, step=13860, lr=0.142250, batch loss=0.178680, epoch loss=1.592124 Batch=719, step=13920, lr=0.142250, batch loss=0.173769, epoch loss=1.765893 Batch=779, step=13980, lr=0.142000, batch loss=0.183302, epoch loss=1.949195 Batch=839, step=14040, lr=0.141750, batch loss=0.200499, epoch loss=2.149694 Batch=899, step=14100, lr=0.141500, batch loss=0.219474, epoch loss=2.369167 Batch=959, step=14160, lr=0.141250, batch loss=0.105811, epoch loss=2.474979 Batch=1019, step=14220, lr=0.141000, batch loss=0.197293, epoch loss=2.672272 Batch=1079, step=14280, lr=0.140750, batch loss=0.085229, epoch loss=2.757501 Batch=1139, step=14340, lr=0.140500, batch loss=0.135219, epoch loss=2.892720 Batch=1199, step=14400, lr=0.140000, batch loss=0.087746, epoch loss=2.980466 Epoch=11, step=14400, lr=0.140000, epoch loss=2.980466 Batch=59, step=14460, lr=0.140000, batch loss=0.108747, epoch loss=0.108747 Batch=119, step=14520, lr=0.139750, batch loss=0.105400, epoch loss=0.214148 Batch=179, step=14580, lr=0.139500, batch loss=0.102433, epoch loss=0.316580 Batch=239, step=14640, lr=0.139250, batch loss=0.143088, epoch loss=0.459668 Batch=299, step=14700, lr=0.139000, batch loss=0.077518, epoch loss=0.537186 Batch=359, step=14760, lr=0.138750, batch loss=0.122087, epoch loss=0.659274 Batch=419, step=14820, lr=0.138500, batch loss=0.131993, epoch loss=0.791266 Batch=479, step=14880, lr=0.138250, batch loss=0.103788, epoch loss=0.895055 Batch=539, step=14940, lr=0.138000, batch loss=0.110365, epoch loss=1.005420 Batch=599, step=15000, lr=0.137750, batch loss=0.085080, epoch loss=1.090500 Batch=659, step=15060, lr=0.137500, batch loss=0.130417, epoch loss=1.220918 Batch=719, step=15120, lr=0.137250, batch loss=0.129646, epoch loss=1.350564 Batch=779, step=15180, lr=0.137000, batch loss=0.160452, epoch loss=1.511016 Batch=839, step=15240, lr=0.136750, batch loss=0.175553, epoch loss=1.686568 Batch=899, step=15300, lr=0.136500, batch loss=0.305544, epoch loss=1.992112 Batch=959, step=15360, lr=0.136000, batch loss=0.062803, epoch loss=2.054915 Batch=1019, step=15420, lr=0.136000, batch loss=0.137126, epoch loss=2.192042 Batch=1079, step=15480, lr=0.135500, batch loss=0.044190, epoch loss=2.236232 Batch=1139, step=15540, lr=0.135500, batch loss=0.095020, epoch loss=2.331251 Batch=1199, step=15600, lr=0.135250, batch loss=0.059759, epoch loss=2.391010 Epoch=12, step=15600, lr=0.135250, epoch loss=2.391010 Batch=59, step=15660, lr=0.135000, batch loss=0.080555, epoch loss=0.080555 Batch=119, step=15720, lr=0.134750, batch loss=0.107385, epoch loss=0.187940 Batch=179, step=15780, lr=0.134500, batch loss=0.090346, epoch loss=0.278285 Batch=239, step=15840, lr=0.134250, batch loss=0.093806, epoch loss=0.372092 Batch=299, step=15900, lr=0.134000, batch loss=0.040488, epoch loss=0.412580 Batch=359, step=15960, lr=0.133750, batch loss=0.079160, epoch loss=0.491740 Batch=419, step=16020, lr=0.133500, batch loss=0.084692, epoch loss=0.576432 Batch=479, step=16080, lr=0.133000, batch loss=0.070182, epoch loss=0.646614 Batch=539, step=16140, lr=0.133000, batch loss=0.054543, epoch loss=0.701157 Batch=599, step=16200, lr=0.132750, batch loss=0.099281, epoch loss=0.800438 Batch=659, step=16260, lr=0.132500, batch loss=0.076994, epoch loss=0.877432 Batch=719, step=16320, lr=0.132250, batch loss=0.072675, epoch loss=0.950107 Batch=779, step=16380, lr=0.132000, batch loss=0.079907, epoch loss=1.030014 Batch=839, step=16440, lr=0.131750, batch loss=0.114200, epoch loss=1.144214 Batch=899, step=16500, lr=0.131500, batch loss=0.153145, epoch loss=1.297359 Batch=959, step=16560, lr=0.131250, batch loss=0.058214, epoch loss=1.355574 Batch=1019, step=16620, lr=0.131000, batch loss=0.149240, epoch loss=1.504814 Batch=1079, step=16680, lr=0.130750, batch loss=0.023146, epoch loss=1.527960 Batch=1139, step=16740, lr=0.130500, batch loss=0.047059, epoch loss=1.575019 Batch=1199, step=16800, lr=0.130250, batch loss=0.026066, epoch loss=1.601085 Epoch=13, step=16800, lr=0.130250, epoch loss=1.601085 Batch=59, step=16860, lr=0.130000, batch loss=0.038076, epoch loss=0.038076 Batch=119, step=16920, lr=0.129500, batch loss=0.059076, epoch loss=0.097151 Batch=179, step=16980, lr=0.129500, batch loss=0.049082, epoch loss=0.146233 Batch=239, step=17040, lr=0.129250, batch loss=0.065572, epoch loss=0.211805 Batch=299, step=17100, lr=0.129000, batch loss=0.037798, epoch loss=0.249604 Batch=359, step=17160, lr=0.128750, batch loss=0.050725, epoch loss=0.300329 Batch=419, step=17220, lr=0.128500, batch loss=0.078154, epoch loss=0.378483 Batch=479, step=17280, lr=0.128000, batch loss=0.022919, epoch loss=0.401401 Batch=539, step=17340, lr=0.128000, batch loss=0.029245, epoch loss=0.430647 Batch=599, step=17400, lr=0.127750, batch loss=0.041161, epoch loss=0.471808 Batch=659, step=17460, lr=0.127500, batch loss=0.051159, epoch loss=0.522967 Batch=719, step=17520, lr=0.127000, batch loss=0.073973, epoch loss=0.596940 Batch=779, step=17580, lr=0.127000, batch loss=0.064041, epoch loss=0.660982 Batch=839, step=17640, lr=0.126750, batch loss=0.103387, epoch loss=0.764369 Batch=899, step=17700, lr=0.126250, batch loss=0.052440, epoch loss=0.816809 Batch=959, step=17760, lr=0.126000, batch loss=0.016579, epoch loss=0.833388 Batch=1019, step=17820, lr=0.125750, batch loss=0.034788, epoch loss=0.868176 Batch=1079, step=17880, lr=0.125750, batch loss=0.043514, epoch loss=0.911690 Batch=1139, step=17940, lr=0.125500, batch loss=0.072815, epoch loss=0.984505 Batch=1199, step=18000, lr=0.125250, batch loss=0.024546, epoch loss=1.009052 Epoch=14, step=18000, lr=0.125250, epoch loss=1.009052 Batch=59, step=18060, lr=0.125000, batch loss=0.015391, epoch loss=0.015391 Batch=119, step=18120, lr=0.124750, batch loss=0.018741, epoch loss=0.034133 Batch=179, step=18180, lr=0.124500, batch loss=0.029746, epoch loss=0.063879 Batch=239, step=18240, lr=0.124250, batch loss=0.036160, epoch loss=0.100039 Batch=299, step=18300, lr=0.124000, batch loss=0.012585, epoch loss=0.112623 Batch=359, step=18360, lr=0.123750, batch loss=0.023531, epoch loss=0.136154 Batch=419, step=18420, lr=0.123500, batch loss=0.029780, epoch loss=0.165934 Batch=479, step=18480, lr=0.123250, batch loss=0.019780, epoch loss=0.185714 Batch=539, step=18540, lr=0.123000, batch loss=0.042158, epoch loss=0.227872 Batch=599, step=18600, lr=0.122750, batch loss=0.025951, epoch loss=0.253823 Batch=659, step=18660, lr=0.122250, batch loss=0.032564, epoch loss=0.286388 Batch=719, step=18720, lr=0.122250, batch loss=0.049968, epoch loss=0.336356 Batch=779, step=18780, lr=0.122000, batch loss=0.118601, epoch loss=0.454957 Batch=839, step=18840, lr=0.121750, batch loss=0.058888, epoch loss=0.513845 Batch=899, step=18900, lr=0.121250, batch loss=0.066427, epoch loss=0.580271 Batch=959, step=18960, lr=0.121250, batch loss=0.013602, epoch loss=0.593874 Batch=1019, step=19020, lr=0.121000, batch loss=0.022742, epoch loss=0.616616 Batch=1079, step=19080, lr=0.120500, batch loss=0.010128, epoch loss=0.626745 Batch=1139, step=19140, lr=0.120500, batch loss=0.023490, epoch loss=0.650235 Batch=1199, step=19200, lr=0.120250, batch loss=0.009838, epoch loss=0.660073 Epoch=15, step=19200, lr=0.120250, epoch loss=0.660073 Batch=59, step=19260, lr=0.119750, batch loss=0.004376, epoch loss=0.004376 Batch=119, step=19320, lr=0.119750, batch loss=0.021259, epoch loss=0.025635 Batch=179, step=19380, lr=0.119500, batch loss=0.063034, epoch loss=0.088668 Batch=239, step=19440, lr=0.119250, batch loss=0.024964, epoch loss=0.113633 Batch=299, step=19500, lr=0.119000, batch loss=0.012818, epoch loss=0.126451 Batch=359, step=19560, lr=0.118750, batch loss=0.028836, epoch loss=0.155287 Batch=419, step=19620, lr=0.118500, batch loss=0.020329, epoch loss=0.175615 Batch=479, step=19680, lr=0.118250, batch loss=0.008438, epoch loss=0.184053 Batch=539, step=19740, lr=0.118000, batch loss=0.017864, epoch loss=0.201918 Batch=599, step=19800, lr=0.117750, batch loss=0.022846, epoch loss=0.224764 Batch=659, step=19860, lr=0.117500, batch loss=0.020198, epoch loss=0.244962 Batch=719, step=19920, lr=0.117250, batch loss=0.055023, epoch loss=0.299985 Batch=779, step=19980, lr=0.117000, batch loss=0.084971, epoch loss=0.384956 Batch=839, step=20040, lr=0.116750, batch loss=0.031322, epoch loss=0.416277 Batch=899, step=20100, lr=0.116500, batch loss=0.031269, epoch loss=0.447546 Batch=959, step=20160, lr=0.116250, batch loss=0.011354, epoch loss=0.458900 Batch=1019, step=20220, lr=0.115750, batch loss=0.016386, epoch loss=0.475286 Batch=1079, step=20280, lr=0.115750, batch loss=0.003069, epoch loss=0.478355 Batch=1139, step=20340, lr=0.115500, batch loss=0.015479, epoch loss=0.493834 Batch=1199, step=20400, lr=0.115250, batch loss=0.005669, epoch loss=0.499503 Epoch=16, step=20400, lr=0.115250, epoch loss=0.499503 Batch=59, step=20460, lr=0.115000, batch loss=0.003154, epoch loss=0.003154 Batch=119, step=20520, lr=0.114750, batch loss=0.009292, epoch loss=0.012446 Batch=179, step=20580, lr=0.114500, batch loss=0.020048, epoch loss=0.032495 Batch=239, step=20640, lr=0.114250, batch loss=0.020331, epoch loss=0.052826 Batch=299, step=20700, lr=0.114000, batch loss=0.010060, epoch loss=0.062886 Batch=359, step=20760, lr=0.113750, batch loss=0.014431, epoch loss=0.077317 Batch=419, step=20820, lr=0.113500, batch loss=0.014386, epoch loss=0.091703 Batch=479, step=20880, lr=0.113250, batch loss=0.003251, epoch loss=0.094954 Batch=539, step=20940, lr=0.113000, batch loss=0.017102, epoch loss=0.112056 Batch=599, step=21000, lr=0.112750, batch loss=0.019651, epoch loss=0.131707 Batch=659, step=21060, lr=0.112500, batch loss=0.016278, epoch loss=0.147985 Batch=719, step=21120, lr=0.112250, batch loss=0.036730, epoch loss=0.184716 Batch=779, step=21180, lr=0.112000, batch loss=0.076805, epoch loss=0.261521 Batch=839, step=21240, lr=0.111500, batch loss=0.026618, epoch loss=0.288139 Batch=899, step=21300, lr=0.111500, batch loss=0.034176, epoch loss=0.322315 Batch=959, step=21360, lr=0.111250, batch loss=0.009700, epoch loss=0.332015 Batch=1019, step=21420, lr=0.110750, batch loss=0.010667, epoch loss=0.342682 Batch=1079, step=21480, lr=0.110750, batch loss=0.001122, epoch loss=0.343804 Batch=1139, step=21540, lr=0.110500, batch loss=0.012897, epoch loss=0.356701 Batch=1199, step=21600, lr=0.110250, batch loss=0.005074, epoch loss=0.361775 Epoch=17, step=21600, lr=0.110250, epoch loss=0.361775 Batch=59, step=21660, lr=0.110000, batch loss=0.002249, epoch loss=0.002249 Batch=119, step=21720, lr=0.109750, batch loss=0.006466, epoch loss=0.008715 Batch=179, step=21780, lr=0.109250, batch loss=0.013040, epoch loss=0.021755 Batch=239, step=21840, lr=0.109250, batch loss=0.011838, epoch loss=0.033593 Batch=299, step=21900, lr=0.108750, batch loss=0.010435, epoch loss=0.044028 Batch=359, step=21960, lr=0.108750, batch loss=0.012365, epoch loss=0.056393 Batch=419, step=22020, lr=0.108250, batch loss=0.012011, epoch loss=0.068404 Batch=479, step=22080, lr=0.108250, batch loss=0.002583, epoch loss=0.070987 Batch=539, step=22140, lr=0.107750, batch loss=0.016972, epoch loss=0.087959 Batch=599, step=22200, lr=0.107750, batch loss=0.015222, epoch loss=0.103180 Batch=659, step=22260, lr=0.107500, batch loss=0.013740, epoch loss=0.116920 Batch=719, step=22320, lr=0.107250, batch loss=0.021836, epoch loss=0.138756 Batch=779, step=22380, lr=0.107000, batch loss=0.032903, epoch loss=0.171658 Batch=839, step=22440, lr=0.106750, batch loss=0.026982, epoch loss=0.198641 Batch=899, step=22500, lr=0.106500, batch loss=0.026027, epoch loss=0.224667 Batch=959, step=22560, lr=0.106000, batch loss=0.008731, epoch loss=0.233399 Batch=1019, step=22620, lr=0.106000, batch loss=0.009094, epoch loss=0.242492 Batch=1079, step=22680, lr=0.105500, batch loss=0.001266, epoch loss=0.243758 Batch=1139, step=22740, lr=0.105500, batch loss=0.010876, epoch loss=0.254634 Batch=1199, step=22800, lr=0.105250, batch loss=0.004576, epoch loss=0.259210 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259210 Batch=59, step=22860, lr=0.105000, batch loss=0.001673, epoch loss=0.001673 Batch=119, step=22920, lr=0.104750, batch loss=0.005204, epoch loss=0.006877 Batch=179, step=22980, lr=0.104500, batch loss=0.011247, epoch loss=0.018124 Batch=239, step=23040, lr=0.104250, batch loss=0.008699, epoch loss=0.026823 Batch=299, step=23100, lr=0.104000, batch loss=0.007011, epoch loss=0.033834 Batch=359, step=23160, lr=0.103500, batch loss=0.013304, epoch loss=0.047138 Batch=419, step=23220, lr=0.103250, batch loss=0.011644, epoch loss=0.058782 Batch=479, step=23280, lr=0.103000, batch loss=0.002729, epoch loss=0.061511 Batch=539, step=23340, lr=0.102750, batch loss=0.016403, epoch loss=0.077914 Batch=599, step=23400, lr=0.102750, batch loss=0.013381, epoch loss=0.091295 Batch=659, step=23460, lr=0.102500, batch loss=0.011710, epoch loss=0.103005 Batch=719, step=23520, lr=0.102000, batch loss=0.012730, epoch loss=0.115735 Batch=779, step=23580, lr=0.102000, batch loss=0.023026, epoch loss=0.138761 Batch=839, step=23640, lr=0.101750, batch loss=0.023989, epoch loss=0.162750 Batch=899, step=23700, lr=0.101250, batch loss=0.023868, epoch loss=0.186617 Batch=959, step=23760, lr=0.101250, batch loss=0.007921, epoch loss=0.194538 Batch=1019, step=23820, lr=0.101000, batch loss=0.007298, epoch loss=0.201837 Batch=1079, step=23880, lr=0.100750, batch loss=0.001244, epoch loss=0.203081 Batch=1139, step=23940, lr=0.100500, batch loss=0.008603, epoch loss=0.211683 Batch=1199, step=24000, lr=0.100000, batch loss=0.004408, epoch loss=0.216091 Epoch=19, step=24000, lr=0.100000, epoch loss=0.216091 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:48.17 ---> saved as "4598b87da1bca96dcbf7efe7bc54901cd29501e6e888fca95b6f79a836aeb1f7" Job succeeded 2025-03-21 12:48.18: Job succeeded