2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51-debian-12-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 22:51.40: 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")) ) 2025-03-20 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:52.23: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51) 2025-03-20 22:52.24 ---> using "4c4507dc2c915bc2fe880d11485a066845ce2ccaf87ae0c7a8ec26d34c0670c5" from cache /: (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")) 2025-03-20 22:52.24 ---> using "172407e1e661134309aea2eb4045783b25179cce1174e2b787c71a0e229d6f99" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [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 <><> 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 22:52.24 ---> using "09dad00ef8e83b2a63e7fe35b5cddf78fe4785748596ca052e2c9a3bfcd80b21" from cache /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 2025-03-20 22:52.24 ---> using "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:52.24 ---> using "a6d2d725d9ab586b26e2389e81730115d2ead44f3f6db0f5c35ba85c11f7e8a2" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.24 ---> using "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:52.24 ---> using "58a53e2a3dd4d132e7b94535201b52d935bf6e768ec6163b1f46501d34443546" 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 22:52.24 ---> using "cb89076554ba8957a03621180f60934d6cf4212d458e883b14a9a41a2017d5ae" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:52.24 ---> using "18096c8c7e2d63a4fac760017a7ca2f078f9ec7b6b838a592e612464b9b5d3b4" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8792 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 9296 kB in 2s (6023 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) ... 2025-03-20 22:52.24 ---> using "cbad75e01466966f4e0a25626ca7a554e66e02ce762ea53b462d2c65de7b6f32" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> 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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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_minidebug.2.1.0 (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 ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved 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 ppxlib.0.35.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (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-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.24 ---> using "fb82ddc3efb677dbe27b91a8d7e4ccbba191089e6f2b4759d2c9fec9271a24db" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:52.24 ---> saved as "e08c440574f48394756165613fa6a583e58ea676abe9731058cf9cfc80f2fe63" /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/5d2d09c509663d71646d68a5df3d5c5d/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/2b63902a0d78f526dd7012f363b234cd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d2d09c509663d71646d68a5df3d5c5d/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/5d2d09c509663d71646d68a5df3d5c5d/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=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189500, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221141, epoch loss=0.647466 Batch=239, step=2640, lr=0.189250, batch loss=0.328102, epoch loss=0.975568 Batch=299, step=2700, lr=0.189000, batch loss=0.202979, epoch loss=1.178547 Batch=359, step=2760, lr=0.188750, batch loss=0.289858, epoch loss=1.468405 Batch=419, step=2820, lr=0.188500, batch loss=0.281780, epoch loss=1.750185 Batch=479, step=2880, lr=0.188250, batch loss=0.264798, epoch loss=2.014982 Batch=539, step=2940, lr=0.188000, batch loss=0.203852, epoch loss=2.218834 Batch=599, step=3000, lr=0.187750, batch loss=0.248014, epoch loss=2.466848 Batch=659, step=3060, lr=0.187500, batch loss=0.345099, epoch loss=2.811947 Batch=719, step=3120, lr=0.187250, batch loss=0.343493, epoch loss=3.155441 Batch=779, step=3180, lr=0.187000, batch loss=0.367035, epoch loss=3.522476 Batch=839, step=3240, lr=0.186750, batch loss=0.321761, epoch loss=3.844237 Batch=899, step=3300, lr=0.186500, batch loss=0.283902, epoch loss=4.128139 Batch=959, step=3360, lr=0.186250, batch loss=0.214360, epoch loss=4.342499 Batch=1019, step=3420, lr=0.186000, batch loss=0.306470, epoch loss=4.648969 Batch=1079, step=3480, lr=0.185750, batch loss=0.177241, epoch loss=4.826210 Batch=1139, step=3540, lr=0.185500, batch loss=0.235622, epoch loss=5.061831 Batch=1199, step=3600, lr=0.185250, batch loss=0.197912, epoch loss=5.259743 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259743 Batch=59, step=3660, lr=0.185000, batch loss=0.226486, epoch loss=0.226486 Batch=119, step=3720, lr=0.184750, batch loss=0.191852, epoch loss=0.418338 Batch=179, step=3780, lr=0.184500, batch loss=0.210709, epoch loss=0.629047 Batch=239, step=3840, lr=0.184250, batch loss=0.314086, epoch loss=0.943133 Batch=299, step=3900, lr=0.184000, batch loss=0.206081, epoch loss=1.149214 Batch=359, step=3960, lr=0.183750, batch loss=0.291168, epoch loss=1.440382 Batch=419, step=4020, lr=0.183500, batch loss=0.297508, epoch loss=1.737890 Batch=479, step=4080, lr=0.183250, batch loss=0.260457, epoch loss=1.998347 Batch=539, step=4140, lr=0.183000, batch loss=0.195274, epoch loss=2.193621 Batch=599, step=4200, lr=0.182750, batch loss=0.230328, epoch loss=2.423949 Batch=659, step=4260, lr=0.182500, batch loss=0.337206, epoch loss=2.761155 Batch=719, step=4320, lr=0.182250, batch loss=0.347061, epoch loss=3.108216 Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454588 Batch=839, step=4440, lr=0.181750, batch loss=0.317721, epoch loss=3.772308 Batch=899, step=4500, lr=0.181500, batch loss=0.283987, epoch loss=4.056295 Batch=959, step=4560, lr=0.181250, batch loss=0.238262, epoch loss=4.294557 Batch=1019, step=4620, lr=0.181000, batch loss=0.337028, epoch loss=4.631585 Batch=1079, step=4680, lr=0.180750, batch loss=0.208452, epoch loss=4.840036 Batch=1139, step=4740, lr=0.180500, batch loss=0.249298, epoch loss=5.089335 Batch=1199, step=4800, lr=0.180250, batch loss=0.191770, epoch loss=5.281105 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281105 Batch=59, step=4860, lr=0.180000, batch loss=0.228004, epoch loss=0.228004 Batch=119, step=4920, lr=0.179750, batch loss=0.190281, epoch loss=0.418285 Batch=179, step=4980, lr=0.179500, batch loss=0.205910, epoch loss=0.624195 Batch=239, step=5040, lr=0.179000, batch loss=0.309034, epoch loss=0.933229 Batch=299, step=5100, lr=0.178750, batch loss=0.204621, epoch loss=1.137850 Batch=359, step=5160, lr=0.178500, batch loss=0.271075, epoch loss=1.408926 Batch=419, step=5220, lr=0.178250, batch loss=0.264068, epoch loss=1.672994 Batch=479, step=5280, lr=0.178250, batch loss=0.239664, epoch loss=1.912658 Batch=539, step=5340, lr=0.178000, batch loss=0.189507, epoch loss=2.102164 Batch=599, step=5400, lr=0.177750, batch loss=0.230937, epoch loss=2.333101 Batch=659, step=5460, lr=0.177500, batch loss=0.323656, epoch loss=2.656757 Batch=719, step=5520, lr=0.177250, batch loss=0.325803, epoch loss=2.982561 Batch=779, step=5580, lr=0.177000, batch loss=0.343251, epoch loss=3.325812 Batch=839, step=5640, lr=0.176750, batch loss=0.309297, epoch loss=3.635109 Batch=899, step=5700, lr=0.176500, batch loss=0.273241, epoch loss=3.908350 Batch=959, step=5760, lr=0.176250, batch loss=0.214794, epoch loss=4.123144 Batch=1019, step=5820, lr=0.176000, batch loss=0.339330, epoch loss=4.462474 Batch=1079, step=5880, lr=0.175750, batch loss=0.207693, epoch loss=4.670167 Batch=1139, step=5940, lr=0.175500, batch loss=0.240072, epoch loss=4.910239 Batch=1199, step=6000, lr=0.175250, batch loss=0.186882, epoch loss=5.097122 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097122 Batch=59, step=6060, lr=0.175000, batch loss=0.230484, epoch loss=0.230484 Batch=119, step=6120, lr=0.174750, batch loss=0.194338, epoch loss=0.424822 Batch=179, step=6180, lr=0.174500, batch loss=0.201553, epoch loss=0.626375 Batch=239, step=6240, lr=0.174250, batch loss=0.302365, epoch loss=0.928740 Batch=299, step=6300, lr=0.174000, batch loss=0.203973, epoch loss=1.132713 Batch=359, step=6360, lr=0.173750, batch loss=0.266077, epoch loss=1.398791 Batch=419, step=6420, lr=0.173500, batch loss=0.265324, epoch loss=1.664114 Batch=479, step=6480, lr=0.173250, batch loss=0.243288, epoch loss=1.907403 Batch=539, step=6540, lr=0.173000, batch loss=0.193013, epoch loss=2.100415 Batch=599, step=6600, lr=0.172750, batch loss=0.234460, epoch loss=2.334875 Batch=659, step=6660, lr=0.172500, batch loss=0.312135, epoch loss=2.647010 Batch=719, step=6720, lr=0.172250, batch loss=0.314207, epoch loss=2.961218 Batch=779, step=6780, lr=0.172000, batch loss=0.333259, epoch loss=3.294476 Batch=839, step=6840, lr=0.171750, batch loss=0.303739, epoch loss=3.598215 Batch=899, step=6900, lr=0.171500, batch loss=0.268507, epoch loss=3.866722 Batch=959, step=6960, lr=0.171250, batch loss=0.210977, epoch loss=4.077699 Batch=1019, step=7020, lr=0.171000, batch loss=0.329807, epoch loss=4.407506 Batch=1079, step=7080, lr=0.170750, batch loss=0.180584, epoch loss=4.588090 Batch=1139, step=7140, lr=0.170500, batch loss=0.216101, epoch loss=4.804191 Batch=1199, step=7200, lr=0.170250, batch loss=0.185692, epoch loss=4.989883 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989883 Batch=59, step=7260, lr=0.170000, batch loss=0.232455, epoch loss=0.232455 Batch=119, step=7320, lr=0.169750, batch loss=0.184645, epoch loss=0.417101 Batch=179, step=7380, lr=0.169500, batch loss=0.196618, epoch loss=0.613719 Batch=239, step=7440, lr=0.169250, batch loss=0.291684, epoch loss=0.905403 Batch=299, step=7500, lr=0.169000, batch loss=0.200893, epoch loss=1.106296 Batch=359, step=7560, lr=0.168750, batch loss=0.258543, epoch loss=1.364839 Batch=419, step=7620, lr=0.168500, batch loss=0.257382, epoch loss=1.622221 Batch=479, step=7680, lr=0.168250, batch loss=0.235346, epoch loss=1.857567 Batch=539, step=7740, lr=0.168000, batch loss=0.188558, epoch loss=2.046126 Batch=599, step=7800, lr=0.167750, batch loss=0.223202, epoch loss=2.269327 Batch=659, step=7860, lr=0.167500, batch loss=0.306322, epoch loss=2.575649 Batch=719, step=7920, lr=0.167250, batch loss=0.308697, epoch loss=2.884346 Batch=779, step=7980, lr=0.167000, batch loss=0.330647, epoch loss=3.214993 Batch=839, step=8040, lr=0.166750, batch loss=0.292008, epoch loss=3.507001 Batch=899, step=8100, lr=0.166500, batch loss=0.262301, epoch loss=3.769302 Batch=959, step=8160, lr=0.166250, batch loss=0.192406, epoch loss=3.961708 Batch=1019, step=8220, lr=0.166000, batch loss=0.291241, epoch loss=4.252949 Batch=1079, step=8280, lr=0.165750, batch loss=0.184196, epoch loss=4.437145 Batch=1139, step=8340, lr=0.165500, batch loss=0.216351, epoch loss=4.653495 Batch=1199, step=8400, lr=0.165250, batch loss=0.172780, epoch loss=4.826275 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826275 Batch=59, step=8460, lr=0.165000, batch loss=0.211960, epoch loss=0.211960 Batch=119, step=8520, lr=0.164750, batch loss=0.178004, epoch loss=0.389964 Batch=179, step=8580, lr=0.164500, batch loss=0.188667, epoch loss=0.578631 Batch=239, step=8640, lr=0.164250, batch loss=0.278189, epoch loss=0.856820 Batch=299, step=8700, lr=0.164000, batch loss=0.193623, epoch loss=1.050443 Batch=359, step=8760, lr=0.163750, batch loss=0.247255, epoch loss=1.297699 Batch=419, step=8820, lr=0.163500, batch loss=0.245256, epoch loss=1.542954 Batch=479, step=8880, lr=0.163250, batch loss=0.229271, epoch loss=1.772226 Batch=539, step=8940, lr=0.163000, batch loss=0.177545, epoch loss=1.949771 Batch=599, step=9000, lr=0.162750, batch loss=0.217567, epoch loss=2.167338 Batch=659, step=9060, lr=0.162500, batch loss=0.295006, epoch loss=2.462344 Batch=719, step=9120, lr=0.162250, batch loss=0.299551, epoch loss=2.761895 Batch=779, step=9180, lr=0.162000, batch loss=0.316416, epoch loss=3.078311 Batch=839, step=9240, lr=0.161750, batch loss=0.282007, epoch loss=3.360319 Batch=899, step=9300, lr=0.161500, batch loss=0.250645, epoch loss=3.610963 Batch=959, step=9360, lr=0.161250, batch loss=0.198105, epoch loss=3.809069 Batch=1019, step=9420, lr=0.161000, batch loss=0.307330, epoch loss=4.116398 Batch=1079, step=9480, lr=0.160750, batch loss=0.196965, epoch loss=4.313363 Batch=1139, step=9540, lr=0.160500, batch loss=0.213389, epoch loss=4.526752 Batch=1199, step=9600, lr=0.160250, batch loss=0.167169, epoch loss=4.693922 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693922 Batch=59, step=9660, lr=0.160000, batch loss=0.200911, epoch loss=0.200911 Batch=119, step=9720, lr=0.159750, batch loss=0.164913, epoch loss=0.365824 Batch=179, step=9780, lr=0.159500, batch loss=0.178468, epoch loss=0.544292 Batch=239, step=9840, lr=0.159250, batch loss=0.262465, epoch loss=0.806757 Batch=299, step=9900, lr=0.159000, batch loss=0.181535, epoch loss=0.988292 Batch=359, step=9960, lr=0.158750, batch loss=0.240983, epoch loss=1.229275 Batch=419, step=10020, lr=0.158500, batch loss=0.233533, epoch loss=1.462808 Batch=479, step=10080, lr=0.158250, batch loss=0.213376, epoch loss=1.676184 Batch=539, step=10140, lr=0.158000, batch loss=0.172273, epoch loss=1.848458 Batch=599, step=10200, lr=0.157750, batch loss=0.200888, epoch loss=2.049345 Batch=659, step=10260, lr=0.157500, batch loss=0.281371, epoch loss=2.330717 Batch=719, step=10320, lr=0.157250, batch loss=0.286059, epoch loss=2.616776 Batch=779, step=10380, lr=0.157000, batch loss=0.294851, epoch loss=2.911626 Batch=839, step=10440, lr=0.156750, batch loss=0.266023, epoch loss=3.177649 Batch=899, step=10500, lr=0.156500, batch loss=0.244276, epoch loss=3.421925 Batch=959, step=10560, lr=0.156250, batch loss=0.197490, epoch loss=3.619415 Batch=1019, step=10620, lr=0.156000, batch loss=0.279814, epoch loss=3.899229 Batch=1079, step=10680, lr=0.155750, batch loss=0.167597, epoch loss=4.066825 Batch=1139, step=10740, lr=0.155500, batch loss=0.199797, epoch loss=4.266623 Batch=1199, step=10800, lr=0.155250, batch loss=0.154099, epoch loss=4.420722 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420722 Batch=59, step=10860, lr=0.155000, batch loss=0.179978, epoch loss=0.179978 Batch=119, step=10920, lr=0.154750, batch loss=0.150695, epoch loss=0.330673 Batch=179, step=10980, lr=0.154500, batch loss=0.166387, epoch loss=0.497060 Batch=239, step=11040, lr=0.154250, batch loss=0.240639, epoch loss=0.737699 Batch=299, step=11100, lr=0.154000, batch loss=0.172391, epoch loss=0.910090 Batch=359, step=11160, lr=0.153750, batch loss=0.220656, epoch loss=1.130746 Batch=419, step=11220, lr=0.153250, batch loss=0.228555, epoch loss=1.359301 Batch=479, step=11280, lr=0.153250, batch loss=0.203895, epoch loss=1.563196 Batch=539, step=11340, lr=0.153000, batch loss=0.159189, epoch loss=1.722385 Batch=599, step=11400, lr=0.152750, batch loss=0.184151, epoch loss=1.906536 Batch=659, step=11460, lr=0.152500, batch loss=0.264595, epoch loss=2.171131 Batch=719, step=11520, lr=0.152250, batch loss=0.255684, epoch loss=2.426815 Batch=779, step=11580, lr=0.152000, batch loss=0.271325, epoch loss=2.698141 Batch=839, step=11640, lr=0.151750, batch loss=0.256419, epoch loss=2.954560 Batch=899, step=11700, lr=0.151500, batch loss=0.217081, epoch loss=3.171641 Batch=959, step=11760, lr=0.151250, batch loss=0.185913, epoch loss=3.357554 Batch=1019, step=11820, lr=0.151000, batch loss=0.277210, epoch loss=3.634764 Batch=1079, step=11880, lr=0.150750, batch loss=0.148328, epoch loss=3.783092 Batch=1139, step=11940, lr=0.150500, batch loss=0.180772, epoch loss=3.963864 Batch=1199, step=12000, lr=0.150250, batch loss=0.139711, epoch loss=4.103575 Epoch=9, step=12000, lr=0.150250, epoch loss=4.103575 Batch=59, step=12060, lr=0.150000, batch loss=0.161024, epoch loss=0.161024 Batch=119, step=12120, lr=0.149750, batch loss=0.137021, epoch loss=0.298045 Batch=179, step=12180, lr=0.149500, batch loss=0.150763, epoch loss=0.448808 Batch=239, step=12240, lr=0.149250, batch loss=0.218737, epoch loss=0.667545 Batch=299, step=12300, lr=0.149000, batch loss=0.142341, epoch loss=0.809886 Batch=359, step=12360, lr=0.148750, batch loss=0.198420, epoch loss=1.008307 Batch=419, step=12420, lr=0.148500, batch loss=0.206706, epoch loss=1.215012 Batch=479, step=12480, lr=0.148250, batch loss=0.178346, epoch loss=1.393358 Batch=539, step=12540, lr=0.148000, batch loss=0.142895, epoch loss=1.536253 Batch=599, step=12600, lr=0.147750, batch loss=0.149100, epoch loss=1.685353 Batch=659, step=12660, lr=0.147500, batch loss=0.226808, epoch loss=1.912162 Batch=719, step=12720, lr=0.147250, batch loss=0.233173, epoch loss=2.145335 Batch=779, step=12780, lr=0.147000, batch loss=0.264087, epoch loss=2.409421 Batch=839, step=12840, lr=0.146750, batch loss=0.234074, epoch loss=2.643496 Batch=899, step=12900, lr=0.146500, batch loss=0.211793, epoch loss=2.855288 Batch=959, step=12960, lr=0.146250, batch loss=0.152221, epoch loss=3.007509 Batch=1019, step=13020, lr=0.146000, batch loss=0.264418, epoch loss=3.271928 Batch=1079, step=13080, lr=0.145750, batch loss=0.112709, epoch loss=3.384637 Batch=1139, step=13140, lr=0.145500, batch loss=0.151157, epoch loss=3.535794 Batch=1199, step=13200, lr=0.145250, batch loss=0.117460, epoch loss=3.653254 Epoch=10, step=13200, lr=0.145250, epoch loss=3.653254 Batch=59, step=13260, lr=0.145000, batch loss=0.145266, epoch loss=0.145266 Batch=119, step=13320, lr=0.144750, batch loss=0.125682, epoch loss=0.270948 Batch=179, step=13380, lr=0.144250, batch loss=0.130089, epoch loss=0.401037 Batch=239, step=13440, lr=0.144250, batch loss=0.189798, epoch loss=0.590836 Batch=299, step=13500, lr=0.144000, batch loss=0.113052, epoch loss=0.703888 Batch=359, step=13560, lr=0.143750, batch loss=0.161878, epoch loss=0.865766 Batch=419, step=13620, lr=0.143500, batch loss=0.158750, epoch loss=1.024516 Batch=479, step=13680, lr=0.143250, batch loss=0.148200, epoch loss=1.172716 Batch=539, step=13740, lr=0.143000, batch loss=0.117552, epoch loss=1.290267 Batch=599, step=13800, lr=0.142750, batch loss=0.120828, epoch loss=1.411095 Batch=659, step=13860, lr=0.142500, batch loss=0.180463, epoch loss=1.591558 Batch=719, step=13920, lr=0.142250, batch loss=0.194518, epoch loss=1.786076 Batch=779, step=13980, lr=0.142000, batch loss=0.224177, epoch loss=2.010254 Batch=839, step=14040, lr=0.141750, batch loss=0.204746, epoch loss=2.214999 Batch=899, step=14100, lr=0.141500, batch loss=0.224183, epoch loss=2.439182 Batch=959, step=14160, lr=0.141250, batch loss=0.097421, epoch loss=2.536603 Batch=1019, step=14220, lr=0.141000, batch loss=0.187957, epoch loss=2.724560 Batch=1079, step=14280, lr=0.140750, batch loss=0.079017, epoch loss=2.803577 Batch=1139, step=14340, lr=0.140500, batch loss=0.127448, epoch loss=2.931025 Batch=1199, step=14400, lr=0.140250, batch loss=0.086305, epoch loss=3.017330 Epoch=11, step=14400, lr=0.140250, epoch loss=3.017330 Batch=59, step=14460, lr=0.140000, batch loss=0.106813, epoch loss=0.106813 Batch=119, step=14520, lr=0.139750, batch loss=0.104098, epoch loss=0.210911 Batch=179, step=14580, lr=0.139500, batch loss=0.101942, epoch loss=0.312853 Batch=239, step=14640, lr=0.139250, batch loss=0.142808, epoch loss=0.455661 Batch=299, step=14700, lr=0.139000, batch loss=0.076496, epoch loss=0.532157 Batch=359, step=14760, lr=0.138750, batch loss=0.120639, epoch loss=0.652796 Batch=419, step=14820, lr=0.138500, batch loss=0.129304, epoch loss=0.782100 Batch=479, step=14880, lr=0.138250, batch loss=0.103034, epoch loss=0.885134 Batch=539, step=14940, lr=0.138000, batch loss=0.117762, epoch loss=1.002896 Batch=599, step=15000, lr=0.137750, batch loss=0.086269, epoch loss=1.089165 Batch=659, step=15060, lr=0.137500, batch loss=0.129921, epoch loss=1.219085 Batch=719, step=15120, lr=0.137250, batch loss=0.121562, epoch loss=1.340647 Batch=779, step=15180, lr=0.137000, batch loss=0.133346, epoch loss=1.473994 Batch=839, step=15240, lr=0.136750, batch loss=0.159027, epoch loss=1.633020 Batch=899, step=15300, lr=0.136500, batch loss=0.232466, epoch loss=1.865486 Batch=959, step=15360, lr=0.136250, batch loss=0.053810, epoch loss=1.919296 Batch=1019, step=15420, lr=0.136000, batch loss=0.135586, epoch loss=2.054881 Batch=1079, step=15480, lr=0.135750, batch loss=0.055443, epoch loss=2.110324 Batch=1139, step=15540, lr=0.135500, batch loss=0.111462, epoch loss=2.221785 Batch=1199, step=15600, lr=0.135250, batch loss=0.057724, epoch loss=2.279509 Epoch=12, step=15600, lr=0.135250, epoch loss=2.279509 Batch=59, step=15660, lr=0.135000, batch loss=0.078103, epoch loss=0.078103 Batch=119, step=15720, lr=0.134750, batch loss=0.121342, epoch loss=0.199445 Batch=179, step=15780, lr=0.134500, batch loss=0.091005, epoch loss=0.290450 Batch=239, step=15840, lr=0.134250, batch loss=0.094530, epoch loss=0.384980 Batch=299, step=15900, lr=0.134000, batch loss=0.041162, epoch loss=0.426141 Batch=359, step=15960, lr=0.133750, batch loss=0.082895, epoch loss=0.509036 Batch=419, step=16020, lr=0.133500, batch loss=0.078662, epoch loss=0.587698 Batch=479, step=16080, lr=0.133250, batch loss=0.053783, epoch loss=0.641481 Batch=539, step=16140, lr=0.133000, batch loss=0.082802, epoch loss=0.724283 Batch=599, step=16200, lr=0.132750, batch loss=0.172060, epoch loss=0.896343 Batch=659, step=16260, lr=0.132500, batch loss=0.094982, epoch loss=0.991325 Batch=719, step=16320, lr=0.132250, batch loss=0.132977, epoch loss=1.124303 Batch=779, step=16380, lr=0.132000, batch loss=0.283120, epoch loss=1.407422 Batch=839, step=16440, lr=0.131750, batch loss=0.092911, epoch loss=1.500333 Batch=899, step=16500, lr=0.131500, batch loss=0.082825, epoch loss=1.583158 Batch=959, step=16560, lr=0.131250, batch loss=0.032682, epoch loss=1.615840 Batch=1019, step=16620, lr=0.131000, batch loss=0.061152, epoch loss=1.676992 Batch=1079, step=16680, lr=0.130750, batch loss=0.059451, epoch loss=1.736443 Batch=1139, step=16740, lr=0.130500, batch loss=0.102996, epoch loss=1.839439 Batch=1199, step=16800, lr=0.130250, batch loss=0.049301, epoch loss=1.888740 Epoch=13, step=16800, lr=0.130250, epoch loss=1.888740 Batch=59, step=16860, lr=0.130000, batch loss=0.036011, epoch loss=0.036011 Batch=119, step=16920, lr=0.129750, batch loss=0.034597, epoch loss=0.070608 Batch=179, step=16980, lr=0.129500, batch loss=0.044165, epoch loss=0.114773 Batch=239, step=17040, lr=0.129250, batch loss=0.060586, epoch loss=0.175359 Batch=299, step=17100, lr=0.129000, batch loss=0.022485, epoch loss=0.197844 Batch=359, step=17160, lr=0.128750, batch loss=0.048205, epoch loss=0.246049 Batch=419, step=17220, lr=0.128500, batch loss=0.078134, epoch loss=0.324183 Batch=479, step=17280, lr=0.128250, batch loss=0.024538, epoch loss=0.348721 Batch=539, step=17340, lr=0.128000, batch loss=0.028428, epoch loss=0.377149 Batch=599, step=17400, lr=0.127750, batch loss=0.034827, epoch loss=0.411977 Batch=659, step=17460, lr=0.127500, batch loss=0.047609, epoch loss=0.459586 Batch=719, step=17520, lr=0.127250, batch loss=0.055991, epoch loss=0.515577 Batch=779, step=17580, lr=0.127000, batch loss=0.079015, epoch loss=0.594591 Batch=839, step=17640, lr=0.126750, batch loss=0.167468, epoch loss=0.762060 Batch=899, step=17700, lr=0.126500, batch loss=0.063911, epoch loss=0.825970 Batch=959, step=17760, lr=0.126250, batch loss=0.021006, epoch loss=0.846976 Batch=1019, step=17820, lr=0.126000, batch loss=0.033089, epoch loss=0.880065 Batch=1079, step=17880, lr=0.125750, batch loss=0.012093, epoch loss=0.892158 Batch=1139, step=17940, lr=0.125500, batch loss=0.033270, epoch loss=0.925427 Batch=1199, step=18000, lr=0.125250, batch loss=0.015165, epoch loss=0.940593 Epoch=14, step=18000, lr=0.125250, epoch loss=0.940593 Batch=59, step=18060, lr=0.125000, batch loss=0.013618, epoch loss=0.013618 Batch=119, step=18120, lr=0.124750, batch loss=0.022547, epoch loss=0.036166 Batch=179, step=18180, lr=0.124500, batch loss=0.046069, epoch loss=0.082234 Batch=239, step=18240, lr=0.124250, batch loss=0.037297, epoch loss=0.119531 Batch=299, step=18300, lr=0.124000, batch loss=0.012979, epoch loss=0.132511 Batch=359, step=18360, lr=0.123750, batch loss=0.024971, epoch loss=0.157481 Batch=419, step=18420, lr=0.123500, batch loss=0.028820, epoch loss=0.186301 Batch=479, step=18480, lr=0.123250, batch loss=0.018964, epoch loss=0.205265 Batch=539, step=18540, lr=0.123000, batch loss=0.042540, epoch loss=0.247805 Batch=599, step=18600, lr=0.122750, batch loss=0.027056, epoch loss=0.274861 Batch=659, step=18660, lr=0.122500, batch loss=0.036948, epoch loss=0.311810 Batch=719, step=18720, lr=0.122250, batch loss=0.034042, epoch loss=0.345852 Batch=779, step=18780, lr=0.122000, batch loss=0.090153, epoch loss=0.436004 Batch=839, step=18840, lr=0.121750, batch loss=0.076496, epoch loss=0.512500 Batch=899, step=18900, lr=0.121500, batch loss=0.110463, epoch loss=0.622963 Batch=959, step=18960, lr=0.121250, batch loss=0.015562, epoch loss=0.638525 Batch=1019, step=19020, lr=0.121000, batch loss=0.024671, epoch loss=0.663196 Batch=1079, step=19080, lr=0.120750, batch loss=0.007312, epoch loss=0.670509 Batch=1139, step=19140, lr=0.120500, batch loss=0.024889, epoch loss=0.695398 Batch=1199, step=19200, lr=0.120250, batch loss=0.011690, epoch loss=0.707087 Epoch=15, step=19200, lr=0.120250, epoch loss=0.707087 Batch=59, step=19260, lr=0.120000, batch loss=0.005807, epoch loss=0.005807 Batch=119, step=19320, lr=0.119750, batch loss=0.012158, epoch loss=0.017964 Batch=179, step=19380, lr=0.119500, batch loss=0.025909, epoch loss=0.043873 Batch=239, step=19440, lr=0.119250, batch loss=0.025628, epoch loss=0.069501 Batch=299, step=19500, lr=0.119000, batch loss=0.012331, epoch loss=0.081832 Batch=359, step=19560, lr=0.118750, batch loss=0.017143, epoch loss=0.098974 Batch=419, step=19620, lr=0.118500, batch loss=0.018440, epoch loss=0.117414 Batch=479, step=19680, lr=0.118250, batch loss=0.006479, epoch loss=0.123894 Batch=539, step=19740, lr=0.118000, batch loss=0.016220, epoch loss=0.140113 Batch=599, step=19800, lr=0.117750, batch loss=0.024381, epoch loss=0.164494 Batch=659, step=19860, lr=0.117500, batch loss=0.018136, epoch loss=0.182631 Batch=719, step=19920, lr=0.117250, batch loss=0.041432, epoch loss=0.224062 Batch=779, step=19980, lr=0.117000, batch loss=0.079308, epoch loss=0.303370 Batch=839, step=20040, lr=0.116750, batch loss=0.031120, epoch loss=0.334490 Batch=899, step=20100, lr=0.116500, batch loss=0.032762, epoch loss=0.367252 Batch=959, step=20160, lr=0.116250, batch loss=0.011600, epoch loss=0.378852 Batch=1019, step=20220, lr=0.116000, batch loss=0.014718, epoch loss=0.393570 Batch=1079, step=20280, lr=0.115750, batch loss=0.002441, epoch loss=0.396011 Batch=1139, step=20340, lr=0.115500, batch loss=0.015303, epoch loss=0.411314 Batch=1199, step=20400, lr=0.115250, batch loss=0.006895, epoch loss=0.418209 Epoch=16, step=20400, lr=0.115250, epoch loss=0.418209 Batch=59, step=20460, lr=0.115000, batch loss=0.003342, epoch loss=0.003342 Batch=119, step=20520, lr=0.114750, batch loss=0.009153, epoch loss=0.012495 Batch=179, step=20580, lr=0.114500, batch loss=0.017107, epoch loss=0.029602 Batch=239, step=20640, lr=0.114250, batch loss=0.023437, epoch loss=0.053039 Batch=299, step=20700, lr=0.114000, batch loss=0.014401, epoch loss=0.067440 Batch=359, step=20760, lr=0.113750, batch loss=0.016393, epoch loss=0.083833 Batch=419, step=20820, lr=0.113500, batch loss=0.016833, epoch loss=0.100666 Batch=479, step=20880, lr=0.113250, batch loss=0.004027, epoch loss=0.104692 Batch=539, step=20940, lr=0.113000, batch loss=0.016058, epoch loss=0.120751 Batch=599, step=21000, lr=0.112750, batch loss=0.022153, epoch loss=0.142903 Batch=659, step=21060, lr=0.112500, batch loss=0.014343, epoch loss=0.157246 Batch=719, step=21120, lr=0.112250, batch loss=0.025253, epoch loss=0.182499 Batch=779, step=21180, lr=0.112000, batch loss=0.051134, epoch loss=0.233633 Batch=839, step=21240, lr=0.111750, batch loss=0.028686, epoch loss=0.262319 Batch=899, step=21300, lr=0.111500, batch loss=0.026767, epoch loss=0.289086 Batch=959, step=21360, lr=0.111250, batch loss=0.017324, epoch loss=0.306409 Batch=1019, step=21420, lr=0.111000, batch loss=0.019192, epoch loss=0.325602 Batch=1079, step=21480, lr=0.110750, batch loss=0.003328, epoch loss=0.328930 Batch=1139, step=21540, lr=0.110500, batch loss=0.012676, epoch loss=0.341607 Batch=1199, step=21600, lr=0.110250, batch loss=0.005498, epoch loss=0.347104 Epoch=17, step=21600, lr=0.110250, epoch loss=0.347104 Batch=59, step=21660, lr=0.110000, batch loss=0.003039, epoch loss=0.003039 Batch=119, step=21720, lr=0.109750, batch loss=0.006696, epoch loss=0.009735 Batch=179, step=21780, lr=0.109500, batch loss=0.012588, epoch loss=0.022323 Batch=239, step=21840, lr=0.109250, batch loss=0.009164, epoch loss=0.031487 Batch=299, step=21900, lr=0.109000, batch loss=0.004063, epoch loss=0.035550 Batch=359, step=21960, lr=0.108750, batch loss=0.013829, epoch loss=0.049379 Batch=419, step=22020, lr=0.108500, batch loss=0.012017, epoch loss=0.061395 Batch=479, step=22080, lr=0.108250, batch loss=0.003425, epoch loss=0.064821 Batch=539, step=22140, lr=0.108000, batch loss=0.017975, epoch loss=0.082796 Batch=599, step=22200, lr=0.107750, batch loss=0.015658, epoch loss=0.098454 Batch=659, step=22260, lr=0.107500, batch loss=0.012604, epoch loss=0.111058 Batch=719, step=22320, lr=0.107250, batch loss=0.022349, epoch loss=0.133407 Batch=779, step=22380, lr=0.107000, batch loss=0.028375, epoch loss=0.161782 Batch=839, step=22440, lr=0.106750, batch loss=0.028464, epoch loss=0.190246 Batch=899, step=22500, lr=0.106500, batch loss=0.023929, epoch loss=0.214175 Batch=959, step=22560, lr=0.106250, batch loss=0.008876, epoch loss=0.223050 Batch=1019, step=22620, lr=0.106000, batch loss=0.007806, epoch loss=0.230856 Batch=1079, step=22680, lr=0.105750, batch loss=0.002297, epoch loss=0.233153 Batch=1139, step=22740, lr=0.105500, batch loss=0.011221, epoch loss=0.244374 Batch=1199, step=22800, lr=0.105250, batch loss=0.004992, epoch loss=0.249366 Epoch=18, step=22800, lr=0.105250, epoch loss=0.249366 Batch=59, step=22860, lr=0.105000, batch loss=0.002257, epoch loss=0.002257 Batch=119, step=22920, lr=0.104500, batch loss=0.005028, epoch loss=0.007284 Batch=179, step=22980, lr=0.104500, batch loss=0.011958, epoch loss=0.019242 Batch=239, step=23040, lr=0.104250, batch loss=0.008928, epoch loss=0.028170 Batch=299, step=23100, lr=0.104000, batch loss=0.001341, epoch loss=0.029511 Batch=359, step=23160, lr=0.103750, batch loss=0.011896, epoch loss=0.041407 Batch=419, step=23220, lr=0.103500, batch loss=0.010009, epoch loss=0.051417 Batch=479, step=23280, lr=0.103250, batch loss=0.003864, epoch loss=0.055281 Batch=539, step=23340, lr=0.103000, batch loss=0.015954, epoch loss=0.071235 Batch=599, step=23400, lr=0.102750, batch loss=0.013319, epoch loss=0.084553 Batch=659, step=23460, lr=0.102500, batch loss=0.011383, epoch loss=0.095936 Batch=719, step=23520, lr=0.102250, batch loss=0.011487, epoch loss=0.107423 Batch=779, step=23580, lr=0.102000, batch loss=0.018963, epoch loss=0.126386 Batch=839, step=23640, lr=0.101750, batch loss=0.025359, epoch loss=0.151744 Batch=899, step=23700, lr=0.101500, batch loss=0.021501, epoch loss=0.173245 Batch=959, step=23760, lr=0.101250, batch loss=0.008547, epoch loss=0.181793 Batch=1019, step=23820, lr=0.101000, batch loss=0.008154, epoch loss=0.189947 Batch=1079, step=23880, lr=0.100750, batch loss=0.001315, epoch loss=0.191262 Batch=1139, step=23940, lr=0.100500, batch loss=0.009018, epoch loss=0.200280 Batch=1199, step=24000, lr=0.100250, batch loss=0.004670, epoch loss=0.204949 Epoch=19, step=24000, lr=0.100250, epoch loss=0.204949 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:52.56 ---> saved as "86773187db0e22b28dc4ff0e6241d8ee254ae74635113eb10fefcafffdda6fc8" Job succeeded 2025-03-20 22:52.57: Job succeeded