2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (linux-x86_64:ubuntu-22.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f6ea3750 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18 # ubuntu-22.04-5.3_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 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18-ubuntu-22.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 15:22.29: Using OBuilder spec: ((from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18) (comment ubuntu-22.04-5.3_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 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:28.57: Got resource from pool OCluster Building on clete.caelum.ci.dev HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18) 2025-03-21 15:41.52 ---> saved as "5fa3078d03c36c41486be280786245ce69ede71e099f6e9f139dd603c7cf19d4" /: (comment ubuntu-22.04-5.3_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 15:41.52 ---> saved as "9fa2948f62ebf217b649feb63f54e071fb9cc3561596dd542f41ffce6afc87f1" /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 255 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=255 --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 15:43.35 ---> saved as "6bb8b431014597f12d2db6d70bc54ee86c04939a285e36b59374c9676b94689d" /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 15:43.35 ---> saved as "d15d3dd480d27c7fd8aa5a3de30d468c1769f04fa3a4f1bedfa6f96e8d0510a7" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:43.36 ---> saved as "a7270fe5f693c720164e7c354c393f9a21e9315d8aed1fab45dcaf4532593257" /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..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:44.47 ---> saved as "b9081b86d112f52a5b2a436010565648eb558bc6347fc2a7975c62c7dc1940c2" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:44.48 ---> saved as "05991b78f27d2a88d91f36b176d3314a08e1ea573f761bf8f93bbd76425fc4f6" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 15:44.54 ---> saved as "807bbf37d939dd4092bca7d440ffb160e496426a2a69ad1632c1ddad40e79c0c" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:44.54 ---> saved as "d9a05614942a657f7fe8f6a85aa7ca8b78b82377363475172805f850cadb351d" /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://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB] - Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease - Get:3 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB] - Get:4 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB] - Get:5 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1237 kB] - Get:6 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [3798 kB] - Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3003 kB] - Get:8 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2692 kB] - Get:9 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [57.9 kB] - Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [3962 kB] - Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1535 kB] - Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [65.7 kB] - Get:13 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [38.5 kB] - Get:14 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [112 kB] - Fetched 16.9 MB in 2s (10.8 MB/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 libglib2.0-0: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 ... 15669 files and directories currently installed.) - Preparing to unpack .../0-libglib2.0-0_2.72.4-0ubuntu2.4_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../1-libglib2.0-data_2.72.4-0ubuntu2.4_all.deb ... - Unpacking libglib2.0-data (2.72.4-0ubuntu2.4) ... - Selecting previously unselected package libicu70:amd64. - Preparing to unpack .../2-libicu70_70.1-2_amd64.deb ... - Unpacking libicu70:amd64 (70.1-2) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../3-libxml2_2.9.13+dfsg-1ubuntu0.6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../4-shared-mime-info_2.1-2_amd64.deb ... - Unpacking shared-mime-info (2.1-2) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../5-xdg-user-dirs_0.17-2ubuntu4_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2ubuntu4) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../6-pkg-config_0.29.2-1ubuntu3_amd64.deb ... - Unpacking pkg-config (0.29.2-1ubuntu3) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../7-libffi-dev_3.4.2-4_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.2-4) ... - Setting up xdg-user-dirs (0.17-2ubuntu4) ... - Setting up libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.4.2-4) ... - Setting up libglib2.0-data (2.72.4-0ubuntu2.4) ... - Setting up pkg-config (0.29.2-1ubuntu3) ... - Setting up libicu70:amd64 (70.1-2) ... - Setting up libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ... - Setting up shared-mime-info (2.1-2) ... - Processing triggers for libc-bin (2.35-0ubuntu3.9) ... 2025-03-21 15:45.24 ---> saved as "f598d9c22acd5ee595e7581bf673d6063ef40f3458ca2a79e1a3f467b14c9e0b" /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_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (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 saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed 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-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> 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 stdlib-shims.0.3.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> 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 uucp.16.0.0 -> installed ctypes.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> 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_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:47.54 ---> saved as "464c44eabc9d8b0a682db25e77e1f7f24616ebff7ea9a5548bedd54452f0c48f" /src: (copy (src .) (dst /src)) 2025-03-21 15:47.55 ---> saved as "0857b34ece7d8c5556f01d87b36ee33f2366863641f76984872cc7d12b4b1c99" /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/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/0ba0f97266b1798c53715283693da0e2/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/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=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650 Batch=599, step=600, lr=0.197500, batch loss=1.069497, epoch loss=41.605147 Batch=659, step=660, lr=0.197500, batch loss=0.482203, epoch loss=42.087349 Batch=719, step=720, lr=0.197000, batch loss=0.411118, epoch loss=42.498467 Batch=779, step=780, lr=0.196750, batch loss=0.469417, epoch loss=42.967884 Batch=839, step=840, lr=0.196750, batch loss=0.443774, epoch loss=43.411658 Batch=899, step=900, lr=0.196250, batch loss=0.383164, epoch loss=43.794823 Batch=959, step=960, lr=0.196250, batch loss=0.242304, epoch loss=44.037127 Batch=1019, step=1020, lr=0.196000, batch loss=0.457260, epoch loss=44.494386 Batch=1079, step=1080, lr=0.195750, batch loss=0.252181, epoch loss=44.746567 Batch=1139, step=1140, lr=0.195250, batch loss=0.329332, epoch loss=45.075900 Batch=1199, step=1200, lr=0.195000, batch loss=0.264045, epoch loss=45.339945 Epoch=0, step=1200, lr=0.195000, epoch loss=45.339945 Batch=59, step=1260, lr=0.194750, batch loss=0.262782, epoch loss=0.262782 Batch=119, step=1320, lr=0.194750, batch loss=0.204316, epoch loss=0.467098 Batch=179, step=1380, lr=0.194250, batch loss=0.244096, epoch loss=0.711194 Batch=239, step=1440, lr=0.194000, batch loss=0.347410, epoch loss=1.058604 Batch=299, step=1500, lr=0.194000, batch loss=0.238263, epoch loss=1.296867 Batch=359, step=1560, lr=0.193500, batch loss=0.311291, epoch loss=1.608158 Batch=419, step=1620, lr=0.193500, batch loss=0.310128, epoch loss=1.918286 Batch=479, step=1680, lr=0.193250, batch loss=0.275844, epoch loss=2.194131 Batch=539, step=1740, lr=0.193000, batch loss=0.211146, epoch loss=2.405276 Batch=599, step=1800, lr=0.192750, batch loss=0.251046, epoch loss=2.656323 Batch=659, step=1860, lr=0.192250, batch loss=0.369982, epoch loss=3.026305 Batch=719, step=1920, lr=0.192250, batch loss=0.364051, epoch loss=3.390355 Batch=779, step=1980, lr=0.192000, batch loss=0.383920, epoch loss=3.774275 Batch=839, step=2040, lr=0.191500, batch loss=0.350060, epoch loss=4.124335 Batch=899, step=2100, lr=0.191250, batch loss=0.323623, epoch loss=4.447958 Batch=959, step=2160, lr=0.191250, batch loss=0.256918, epoch loss=4.704875 Batch=1019, step=2220, lr=0.190750, batch loss=0.392218, epoch loss=5.097093 Batch=1079, step=2280, lr=0.190500, batch loss=0.217894, epoch loss=5.314987 Batch=1139, step=2340, lr=0.190250, batch loss=0.265242, epoch loss=5.580229 Batch=1199, step=2400, lr=0.190250, batch loss=0.211665, epoch loss=5.791894 Epoch=1, step=2400, lr=0.190250, epoch loss=5.791894 Batch=59, step=2460, lr=0.190000, batch loss=0.229342, epoch loss=0.229342 Batch=119, step=2520, lr=0.189500, batch loss=0.198788, epoch loss=0.428130 Batch=179, step=2580, lr=0.189250, batch loss=0.220418, epoch loss=0.648548 Batch=239, step=2640, lr=0.189250, batch loss=0.329200, epoch loss=0.977748 Batch=299, step=2700, lr=0.188750, batch loss=0.205441, epoch loss=1.183189 Batch=359, step=2760, lr=0.188750, batch loss=0.288262, epoch loss=1.471451 Batch=419, step=2820, lr=0.188500, batch loss=0.281130, epoch loss=1.752582 Batch=479, step=2880, lr=0.188000, batch loss=0.252896, epoch loss=2.005478 Batch=539, step=2940, lr=0.188000, batch loss=0.192546, epoch loss=2.198024 Batch=599, step=3000, lr=0.187750, batch loss=0.227877, epoch loss=2.425901 Batch=659, step=3060, lr=0.187250, batch loss=0.337471, epoch loss=2.763372 Batch=719, step=3120, lr=0.187000, batch loss=0.331951, epoch loss=3.095324 Batch=779, step=3180, lr=0.187000, batch loss=0.352613, epoch loss=3.447937 Batch=839, step=3240, lr=0.186750, batch loss=0.323546, epoch loss=3.771482 Batch=899, step=3300, lr=0.186250, batch loss=0.297066, epoch loss=4.068548 Batch=959, step=3360, lr=0.186000, batch loss=0.235508, epoch loss=4.304055 Batch=1019, step=3420, lr=0.185750, batch loss=0.350538, epoch loss=4.654594 Batch=1079, step=3480, lr=0.185500, batch loss=0.212907, epoch loss=4.867500 Batch=1139, step=3540, lr=0.185250, batch loss=0.265826, epoch loss=5.133327 Batch=1199, step=3600, lr=0.185000, batch loss=0.199618, epoch loss=5.332944 Epoch=2, step=3600, lr=0.185000, epoch loss=5.332944 Batch=59, step=3660, lr=0.184750, batch loss=0.225062, epoch loss=0.225062 Batch=119, step=3720, lr=0.184750, batch loss=0.186720, epoch loss=0.411782 Batch=179, step=3780, lr=0.184500, batch loss=0.212522, epoch loss=0.624304 Batch=239, step=3840, lr=0.184250, batch loss=0.316250, epoch loss=0.940554 Batch=299, step=3900, lr=0.184000, batch loss=0.204261, epoch loss=1.144815 Batch=359, step=3960, lr=0.183500, batch loss=0.288330, epoch loss=1.433145 Batch=419, step=4020, lr=0.183500, batch loss=0.274179, epoch loss=1.707324 Batch=479, step=4080, lr=0.183250, batch loss=0.253654, epoch loss=1.960978 Batch=539, step=4140, lr=0.183000, batch loss=0.194746, epoch loss=2.155725 Batch=599, step=4200, lr=0.182750, batch loss=0.232914, epoch loss=2.388639 Batch=659, step=4260, lr=0.182500, batch loss=0.335355, epoch loss=2.723994 Batch=719, step=4320, lr=0.182250, batch loss=0.340497, epoch loss=3.064490 Batch=779, step=4380, lr=0.182000, batch loss=0.352659, epoch loss=3.417150 Batch=839, step=4440, lr=0.181500, batch loss=0.316782, epoch loss=3.733932 Batch=899, step=4500, lr=0.181500, batch loss=0.286121, epoch loss=4.020053 Batch=959, step=4560, lr=0.181250, batch loss=0.236093, epoch loss=4.256146 Batch=1019, step=4620, lr=0.180750, batch loss=0.330732, epoch loss=4.586878 Batch=1079, step=4680, lr=0.180750, batch loss=0.190754, epoch loss=4.777632 Batch=1139, step=4740, lr=0.180250, batch loss=0.223133, epoch loss=5.000765 Batch=1199, step=4800, lr=0.180250, batch loss=0.193503, epoch loss=5.194267 Epoch=3, step=4800, lr=0.180250, epoch loss=5.194267 Batch=59, step=4860, lr=0.179750, batch loss=0.240108, epoch loss=0.240108 Batch=119, step=4920, lr=0.179750, batch loss=0.197577, epoch loss=0.437685 Batch=179, step=4980, lr=0.179500, batch loss=0.206442, epoch loss=0.644127 Batch=239, step=5040, lr=0.179250, batch loss=0.308139, epoch loss=0.952265 Batch=299, step=5100, lr=0.179000, batch loss=0.208483, epoch loss=1.160748 Batch=359, step=5160, lr=0.178750, batch loss=0.273692, epoch loss=1.434440 Batch=419, step=5220, lr=0.178500, batch loss=0.265918, epoch loss=1.700358 Batch=479, step=5280, lr=0.178250, batch loss=0.240687, epoch loss=1.941044 Batch=539, step=5340, lr=0.178000, batch loss=0.189673, epoch loss=2.130717 Batch=599, step=5400, lr=0.177500, batch loss=0.231462, epoch loss=2.362179 Batch=659, step=5460, lr=0.177500, batch loss=0.324279, epoch loss=2.686458 Batch=719, step=5520, lr=0.177250, batch loss=0.325121, epoch loss=3.011579 Batch=779, step=5580, lr=0.177000, batch loss=0.344241, epoch loss=3.355821 Batch=839, step=5640, lr=0.176500, batch loss=0.308773, epoch loss=3.664593 Batch=899, step=5700, lr=0.176250, batch loss=0.272348, epoch loss=3.936942 Batch=959, step=5760, lr=0.176000, batch loss=0.215309, epoch loss=4.152251 Batch=1019, step=5820, lr=0.176000, batch loss=0.333356, epoch loss=4.485606 Batch=1079, step=5880, lr=0.175750, batch loss=0.179574, epoch loss=4.665180 Batch=1139, step=5940, lr=0.175250, batch loss=0.217680, epoch loss=4.882860 Batch=1199, step=6000, lr=0.175250, batch loss=0.190852, epoch loss=5.073712 Epoch=4, step=6000, lr=0.175250, epoch loss=5.073712 Batch=59, step=6060, lr=0.175000, batch loss=0.232294, epoch loss=0.232294 Batch=119, step=6120, lr=0.174750, batch loss=0.193381, epoch loss=0.425675 Batch=179, step=6180, lr=0.174500, batch loss=0.200209, epoch loss=0.625884 Batch=239, step=6240, lr=0.174250, batch loss=0.302952, epoch loss=0.928837 Batch=299, step=6300, lr=0.174000, batch loss=0.209180, epoch loss=1.138017 Batch=359, step=6360, lr=0.173500, batch loss=0.275694, epoch loss=1.413711 Batch=419, step=6420, lr=0.173500, batch loss=0.266962, epoch loss=1.680673 Batch=479, step=6480, lr=0.173250, batch loss=0.242058, epoch loss=1.922730 Batch=539, step=6540, lr=0.173000, batch loss=0.195857, epoch loss=2.118587 Batch=599, step=6600, lr=0.172750, batch loss=0.233586, epoch loss=2.352173 Batch=659, step=6660, lr=0.172500, batch loss=0.313003, epoch loss=2.665175 Batch=719, step=6720, lr=0.172250, batch loss=0.317427, epoch loss=2.982603 Batch=779, step=6780, lr=0.172000, batch loss=0.328599, epoch loss=3.311202 Batch=839, step=6840, lr=0.171750, batch loss=0.301784, epoch loss=3.612986 Batch=899, step=6900, lr=0.171500, batch loss=0.270125, epoch loss=3.883111 Batch=959, step=6960, lr=0.171250, batch loss=0.206901, epoch loss=4.090012 Batch=1019, step=7020, lr=0.171000, batch loss=0.329300, epoch loss=4.419312 Batch=1079, step=7080, lr=0.170750, batch loss=0.173181, epoch loss=4.592493 Batch=1139, step=7140, lr=0.170500, batch loss=0.212590, epoch loss=4.805083 Batch=1199, step=7200, lr=0.170250, batch loss=0.190945, epoch loss=4.996028 Epoch=5, step=7200, lr=0.170250, epoch loss=4.996028 Batch=59, step=7260, lr=0.170000, batch loss=0.224492, epoch loss=0.224492 Batch=119, step=7320, lr=0.169500, batch loss=0.189832, epoch loss=0.414324 Batch=179, step=7380, lr=0.169500, batch loss=0.194511, epoch loss=0.608835 Batch=239, step=7440, lr=0.169250, batch loss=0.290526, epoch loss=0.899362 Batch=299, step=7500, lr=0.168750, batch loss=0.207606, epoch loss=1.106968 Batch=359, step=7560, lr=0.168750, batch loss=0.261029, epoch loss=1.367997 Batch=419, step=7620, lr=0.168500, batch loss=0.254140, epoch loss=1.622137 Batch=479, step=7680, lr=0.168250, batch loss=0.238472, epoch loss=1.860610 Batch=539, step=7740, lr=0.168000, batch loss=0.185493, epoch loss=2.046102 Batch=599, step=7800, lr=0.167750, batch loss=0.225178, epoch loss=2.271280 Batch=659, step=7860, lr=0.167500, batch loss=0.305605, epoch loss=2.576885 Batch=719, step=7920, lr=0.167250, batch loss=0.306604, epoch loss=2.883489 Batch=779, step=7980, lr=0.167000, batch loss=0.321580, epoch loss=3.205069 Batch=839, step=8040, lr=0.166750, batch loss=0.295656, epoch loss=3.500725 Batch=899, step=8100, lr=0.166500, batch loss=0.260083, epoch loss=3.760808 Batch=959, step=8160, lr=0.166250, batch loss=0.206642, epoch loss=3.967450 Batch=1019, step=8220, lr=0.166000, batch loss=0.317732, epoch loss=4.285182 Batch=1079, step=8280, lr=0.165750, batch loss=0.172532, epoch loss=4.457715 Batch=1139, step=8340, lr=0.165500, batch loss=0.209204, epoch loss=4.666919 Batch=1199, step=8400, lr=0.165250, batch loss=0.178205, epoch loss=4.845124 Epoch=6, step=8400, lr=0.165250, epoch loss=4.845124 Batch=59, step=8460, lr=0.165000, batch loss=0.229531, epoch loss=0.229531 Batch=119, step=8520, lr=0.164750, batch loss=0.173955, epoch loss=0.403487 Batch=179, step=8580, lr=0.164500, batch loss=0.187375, epoch loss=0.590861 Batch=239, step=8640, lr=0.164250, batch loss=0.276490, epoch loss=0.867352 Batch=299, step=8700, lr=0.164000, batch loss=0.190267, epoch loss=1.057619 Batch=359, step=8760, lr=0.163750, batch loss=0.249511, epoch loss=1.307129 Batch=419, step=8820, lr=0.163250, batch loss=0.243636, epoch loss=1.550765 Batch=479, step=8880, lr=0.163250, batch loss=0.226887, epoch loss=1.777653 Batch=539, step=8940, lr=0.163000, batch loss=0.179108, epoch loss=1.956760 Batch=599, step=9000, lr=0.162750, batch loss=0.216259, epoch loss=2.173019 Batch=659, step=9060, lr=0.162500, batch loss=0.293949, epoch loss=2.466968 Batch=719, step=9120, lr=0.162250, batch loss=0.296843, epoch loss=2.763811 Batch=779, step=9180, lr=0.162000, batch loss=0.314099, epoch loss=3.077910 Batch=839, step=9240, lr=0.161750, batch loss=0.281635, epoch loss=3.359545 Batch=899, step=9300, lr=0.161500, batch loss=0.252925, epoch loss=3.612470 Batch=959, step=9360, lr=0.161250, batch loss=0.198009, epoch loss=3.810479 Batch=1019, step=9420, lr=0.161000, batch loss=0.309043, epoch loss=4.119522 Batch=1079, step=9480, lr=0.160750, batch loss=0.195297, epoch loss=4.314819 Batch=1139, step=9540, lr=0.160500, batch loss=0.207718, epoch loss=4.522537 Batch=1199, step=9600, lr=0.160250, batch loss=0.166336, epoch loss=4.688873 Epoch=7, step=9600, lr=0.160250, epoch loss=4.688873 Batch=59, step=9660, lr=0.160000, batch loss=0.195387, epoch loss=0.195387 Batch=119, step=9720, lr=0.159750, batch loss=0.166625, epoch loss=0.362012 Batch=179, step=9780, lr=0.159500, batch loss=0.179030, epoch loss=0.541043 Batch=239, step=9840, lr=0.159250, batch loss=0.262954, epoch loss=0.803997 Batch=299, step=9900, lr=0.159000, batch loss=0.183471, epoch loss=0.987467 Batch=359, step=9960, lr=0.158750, batch loss=0.240599, epoch loss=1.228066 Batch=419, step=10020, lr=0.158500, batch loss=0.232803, epoch loss=1.460869 Batch=479, step=10080, lr=0.158250, batch loss=0.213599, epoch loss=1.674468 Batch=539, step=10140, lr=0.158000, batch loss=0.171271, epoch loss=1.845739 Batch=599, step=10200, lr=0.157750, batch loss=0.201323, epoch loss=2.047061 Batch=659, step=10260, lr=0.157500, batch loss=0.282472, epoch loss=2.329533 Batch=719, step=10320, lr=0.157250, batch loss=0.288293, epoch loss=2.617826 Batch=779, step=10380, lr=0.157000, batch loss=0.295147, epoch loss=2.912973 Batch=839, step=10440, lr=0.156750, batch loss=0.267554, epoch loss=3.180528 Batch=899, step=10500, lr=0.156500, batch loss=0.242654, epoch loss=3.423182 Batch=959, step=10560, lr=0.156000, batch loss=0.197263, epoch loss=3.620445 Batch=1019, step=10620, lr=0.156000, batch loss=0.281725, epoch loss=3.902170 Batch=1079, step=10680, lr=0.155750, batch loss=0.161966, epoch loss=4.064136 Batch=1139, step=10740, lr=0.155250, batch loss=0.187026, epoch loss=4.251162 Batch=1199, step=10800, lr=0.155250, batch loss=0.154954, epoch loss=4.406116 Epoch=8, step=10800, lr=0.155250, epoch loss=4.406116 Batch=59, step=10860, lr=0.154750, batch loss=0.187775, epoch loss=0.187775 Batch=119, step=10920, lr=0.154500, batch loss=0.158422, epoch loss=0.346196 Batch=179, step=10980, lr=0.154500, batch loss=0.167234, epoch loss=0.513431 Batch=239, step=11040, lr=0.154000, batch loss=0.245367, epoch loss=0.758797 Batch=299, step=11100, lr=0.153750, batch loss=0.163704, epoch loss=0.922501 Batch=359, step=11160, lr=0.153750, batch loss=0.226147, epoch loss=1.148649 Batch=419, step=11220, lr=0.153500, batch loss=0.225682, epoch loss=1.374330 Batch=479, step=11280, lr=0.153250, batch loss=0.206009, epoch loss=1.580339 Batch=539, step=11340, lr=0.153000, batch loss=0.156985, epoch loss=1.737324 Batch=599, step=11400, lr=0.152750, batch loss=0.182636, epoch loss=1.919960 Batch=659, step=11460, lr=0.152500, batch loss=0.261803, epoch loss=2.181763 Batch=719, step=11520, lr=0.152250, batch loss=0.258957, epoch loss=2.440720 Batch=779, step=11580, lr=0.152000, batch loss=0.269665, epoch loss=2.710384 Batch=839, step=11640, lr=0.151750, batch loss=0.251088, epoch loss=2.961473 Batch=899, step=11700, lr=0.151500, batch loss=0.216971, epoch loss=3.178443 Batch=959, step=11760, lr=0.151250, batch loss=0.162491, epoch loss=3.340935 Batch=1019, step=11820, lr=0.151000, batch loss=0.261206, epoch loss=3.602141 Batch=1079, step=11880, lr=0.150750, batch loss=0.144761, epoch loss=3.746902 Batch=1139, step=11940, lr=0.150500, batch loss=0.181241, epoch loss=3.928143 Batch=1199, step=12000, lr=0.150250, batch loss=0.139858, epoch loss=4.068001 Epoch=9, step=12000, lr=0.150250, epoch loss=4.068001 Batch=59, step=12060, lr=0.149750, batch loss=0.161499, epoch loss=0.161499 Batch=119, step=12120, lr=0.149500, batch loss=0.137313, epoch loss=0.298812 Batch=179, step=12180, lr=0.149500, batch loss=0.150790, epoch loss=0.449602 Batch=239, step=12240, lr=0.149250, batch loss=0.219554, epoch loss=0.669156 Batch=299, step=12300, lr=0.149000, batch loss=0.141428, epoch loss=0.810584 Batch=359, step=12360, lr=0.148750, batch loss=0.199513, epoch loss=1.010097 Batch=419, step=12420, lr=0.148250, batch loss=0.208101, epoch loss=1.218198 Batch=479, step=12480, lr=0.148250, batch loss=0.178148, epoch loss=1.396346 Batch=539, step=12540, lr=0.147750, batch loss=0.143803, epoch loss=1.540149 Batch=599, step=12600, lr=0.147750, batch loss=0.148876, epoch loss=1.689025 Batch=659, step=12660, lr=0.147250, batch loss=0.227938, epoch loss=1.916963 Batch=719, step=12720, lr=0.147250, batch loss=0.234310, epoch loss=2.151273 Batch=779, step=12780, lr=0.147000, batch loss=0.266758, epoch loss=2.418031 Batch=839, step=12840, lr=0.146750, batch loss=0.236702, epoch loss=2.654733 Batch=899, step=12900, lr=0.146500, batch loss=0.223850, epoch loss=2.878584 Batch=959, step=12960, lr=0.146250, batch loss=0.144046, epoch loss=3.022629 Batch=1019, step=13020, lr=0.146000, batch loss=0.218841, epoch loss=3.241470 Batch=1079, step=13080, lr=0.145750, batch loss=0.111186, epoch loss=3.352657 Batch=1139, step=13140, lr=0.145500, batch loss=0.148222, epoch loss=3.500878 Batch=1199, step=13200, lr=0.145250, batch loss=0.116593, epoch loss=3.617471 Epoch=10, step=13200, lr=0.145250, epoch loss=3.617471 Batch=59, step=13260, lr=0.144750, batch loss=0.134921, epoch loss=0.134921 Batch=119, step=13320, lr=0.144750, batch loss=0.111681, epoch loss=0.246602 Batch=179, step=13380, lr=0.144500, batch loss=0.127058, epoch loss=0.373660 Batch=239, step=13440, lr=0.144250, batch loss=0.185850, epoch loss=0.559510 Batch=299, step=13500, lr=0.144000, batch loss=0.117815, epoch loss=0.677325 Batch=359, step=13560, lr=0.143750, batch loss=0.164532, epoch loss=0.841857 Batch=419, step=13620, lr=0.143500, batch loss=0.183811, epoch loss=1.025668 Batch=479, step=13680, lr=0.143250, batch loss=0.137917, epoch loss=1.163585 Batch=539, step=13740, lr=0.143000, batch loss=0.119081, epoch loss=1.282667 Batch=599, step=13800, lr=0.142500, batch loss=0.120690, epoch loss=1.403357 Batch=659, step=13860, lr=0.142500, batch loss=0.177075, epoch loss=1.580432 Batch=719, step=13920, lr=0.142250, batch loss=0.175599, epoch loss=1.756031 Batch=779, step=13980, lr=0.142000, batch loss=0.200005, epoch loss=1.956036 Batch=839, step=14040, lr=0.141750, batch loss=0.201882, epoch loss=2.157918 Batch=899, step=14100, lr=0.141500, batch loss=0.221328, epoch loss=2.379246 Batch=959, step=14160, lr=0.141250, batch loss=0.100587, epoch loss=2.479833 Batch=1019, step=14220, lr=0.141000, batch loss=0.200768, epoch loss=2.680601 Batch=1079, step=14280, lr=0.140750, batch loss=0.078015, epoch loss=2.758616 Batch=1139, step=14340, lr=0.140500, batch loss=0.122668, epoch loss=2.881284 Batch=1199, step=14400, lr=0.140250, batch loss=0.086277, epoch loss=2.967561 Epoch=11, step=14400, lr=0.140250, epoch loss=2.967561 Batch=59, step=14460, lr=0.140000, batch loss=0.108766, epoch loss=0.108766 Batch=119, step=14520, lr=0.139750, batch loss=0.104974, epoch loss=0.213741 Batch=179, step=14580, lr=0.139500, batch loss=0.100575, epoch loss=0.314315 Batch=239, step=14640, lr=0.139250, batch loss=0.143650, epoch loss=0.457966 Batch=299, step=14700, lr=0.138750, batch loss=0.075676, epoch loss=0.533642 Batch=359, step=14760, lr=0.138500, batch loss=0.122449, epoch loss=0.656091 Batch=419, step=14820, lr=0.138500, batch loss=0.128512, epoch loss=0.784603 Batch=479, step=14880, lr=0.138250, batch loss=0.106836, epoch loss=0.891438 Batch=539, step=14940, lr=0.138000, batch loss=0.107298, epoch loss=0.998736 Batch=599, step=15000, lr=0.137500, batch loss=0.083958, epoch loss=1.082695 Batch=659, step=15060, lr=0.137500, batch loss=0.127457, epoch loss=1.210152 Batch=719, step=15120, lr=0.137250, batch loss=0.122792, epoch loss=1.332944 Batch=779, step=15180, lr=0.137000, batch loss=0.124787, epoch loss=1.457731 Batch=839, step=15240, lr=0.136750, batch loss=0.153483, epoch loss=1.611214 Batch=899, step=15300, lr=0.136250, batch loss=0.285847, epoch loss=1.897061 Batch=959, step=15360, lr=0.136250, batch loss=0.062700, epoch loss=1.959761 Batch=1019, step=15420, lr=0.136000, batch loss=0.143383, epoch loss=2.103144 Batch=1079, step=15480, lr=0.135750, batch loss=0.043368, epoch loss=2.146512 Batch=1139, step=15540, lr=0.135500, batch loss=0.101998, epoch loss=2.248510 Batch=1199, step=15600, lr=0.135250, batch loss=0.060006, epoch loss=2.308517 Epoch=12, step=15600, lr=0.135250, epoch loss=2.308517 Batch=59, step=15660, lr=0.135000, batch loss=0.086670, epoch loss=0.086670 Batch=119, step=15720, lr=0.134750, batch loss=0.147567, epoch loss=0.234237 Batch=179, step=15780, lr=0.134500, batch loss=0.104207, epoch loss=0.338443 Batch=239, step=15840, lr=0.134250, batch loss=0.099478, epoch loss=0.437922 Batch=299, step=15900, lr=0.134000, batch loss=0.043994, epoch loss=0.481916 Batch=359, step=15960, lr=0.133750, batch loss=0.081764, epoch loss=0.563680 Batch=419, step=16020, lr=0.133250, batch loss=0.078011, epoch loss=0.641691 Batch=479, step=16080, lr=0.133000, batch loss=0.054601, epoch loss=0.696293 Batch=539, step=16140, lr=0.132750, batch loss=0.076430, epoch loss=0.772722 Batch=599, step=16200, lr=0.132500, batch loss=0.175836, epoch loss=0.948558 Batch=659, step=16260, lr=0.132250, batch loss=0.096949, epoch loss=1.045508 Batch=719, step=16320, lr=0.132250, batch loss=0.128845, epoch loss=1.174353 Batch=779, step=16380, lr=0.132000, batch loss=0.273721, epoch loss=1.448074 Batch=839, step=16440, lr=0.131750, batch loss=0.090772, epoch loss=1.538846 Batch=899, step=16500, lr=0.131500, batch loss=0.078465, epoch loss=1.617311 Batch=959, step=16560, lr=0.131000, batch loss=0.030922, epoch loss=1.648233 Batch=1019, step=16620, lr=0.131000, batch loss=0.061668, epoch loss=1.709901 Batch=1079, step=16680, lr=0.130750, batch loss=0.060403, epoch loss=1.770305 Batch=1139, step=16740, lr=0.130500, batch loss=0.105061, epoch loss=1.875366 Batch=1199, step=16800, lr=0.130250, batch loss=0.049037, epoch loss=1.924403 Epoch=13, step=16800, lr=0.130250, epoch loss=1.924403 Batch=59, step=16860, lr=0.130000, batch loss=0.037199, epoch loss=0.037199 Batch=119, step=16920, lr=0.129750, batch loss=0.034533, epoch loss=0.071732 Batch=179, step=16980, lr=0.129500, batch loss=0.044283, epoch loss=0.116014 Batch=239, step=17040, lr=0.129250, batch loss=0.060258, epoch loss=0.176273 Batch=299, step=17100, lr=0.129000, batch loss=0.018802, epoch loss=0.195075 Batch=359, step=17160, lr=0.128750, batch loss=0.045480, epoch loss=0.240555 Batch=419, step=17220, lr=0.128500, batch loss=0.044963, epoch loss=0.285518 Batch=479, step=17280, lr=0.128250, batch loss=0.021436, epoch loss=0.306954 Batch=539, step=17340, lr=0.128000, batch loss=0.038656, epoch loss=0.345610 Batch=599, step=17400, lr=0.127750, batch loss=0.076390, epoch loss=0.422001 Batch=659, step=17460, lr=0.127500, batch loss=0.046356, epoch loss=0.468357 Batch=719, step=17520, lr=0.127250, batch loss=0.071149, epoch loss=0.539506 Batch=779, step=17580, lr=0.127000, batch loss=0.115973, epoch loss=0.655479 Batch=839, step=17640, lr=0.126750, batch loss=0.095055, epoch loss=0.750534 Batch=899, step=17700, lr=0.126500, batch loss=0.119435, epoch loss=0.869969 Batch=959, step=17760, lr=0.126250, batch loss=0.022173, epoch loss=0.892142 Batch=1019, step=17820, lr=0.126000, batch loss=0.042661, epoch loss=0.934803 Batch=1079, step=17880, lr=0.125750, batch loss=0.013296, epoch loss=0.948099 Batch=1139, step=17940, lr=0.125500, batch loss=0.038504, epoch loss=0.986603 Batch=1199, step=18000, lr=0.125250, batch loss=0.015827, epoch loss=1.002430 Epoch=14, step=18000, lr=0.125250, epoch loss=1.002430 Batch=59, step=18060, lr=0.125000, batch loss=0.013604, epoch loss=0.013604 Batch=119, step=18120, lr=0.124750, batch loss=0.029012, epoch loss=0.042616 Batch=179, step=18180, lr=0.124500, batch loss=0.071923, epoch loss=0.114538 Batch=239, step=18240, lr=0.124250, batch loss=0.037985, epoch loss=0.152523 Batch=299, step=18300, lr=0.124000, batch loss=0.017627, epoch loss=0.170150 Batch=359, step=18360, lr=0.123750, batch loss=0.044193, epoch loss=0.214343 Batch=419, step=18420, lr=0.123500, batch loss=0.032313, epoch loss=0.246657 Batch=479, step=18480, lr=0.123250, batch loss=0.019692, epoch loss=0.266349 Batch=539, step=18540, lr=0.123000, batch loss=0.025943, epoch loss=0.292291 Batch=599, step=18600, lr=0.122750, batch loss=0.025769, epoch loss=0.318060 Batch=659, step=18660, lr=0.122500, batch loss=0.031629, epoch loss=0.349689 Batch=719, step=18720, lr=0.122000, batch loss=0.047539, epoch loss=0.397228 Batch=779, step=18780, lr=0.122000, batch loss=0.097446, epoch loss=0.494674 Batch=839, step=18840, lr=0.121750, batch loss=0.057654, epoch loss=0.552328 Batch=899, step=18900, lr=0.121250, batch loss=0.057435, epoch loss=0.609763 Batch=959, step=18960, lr=0.121250, batch loss=0.014007, epoch loss=0.623770 Batch=1019, step=19020, lr=0.121000, batch loss=0.018557, epoch loss=0.642327 Batch=1079, step=19080, lr=0.120750, batch loss=0.009316, epoch loss=0.651643 Batch=1139, step=19140, lr=0.120250, batch loss=0.024124, epoch loss=0.675767 Batch=1199, step=19200, lr=0.120250, batch loss=0.009689, epoch loss=0.685456 Epoch=15, step=19200, lr=0.120250, epoch loss=0.685456 Batch=59, step=19260, lr=0.120000, batch loss=0.004828, epoch loss=0.004828 Batch=119, step=19320, lr=0.119750, batch loss=0.021490, epoch loss=0.026318 Batch=179, step=19380, lr=0.119500, batch loss=0.057224, epoch loss=0.083542 Batch=239, step=19440, lr=0.119250, batch loss=0.024556, epoch loss=0.108098 Batch=299, step=19500, lr=0.119000, batch loss=0.014266, epoch loss=0.122363 Batch=359, step=19560, lr=0.118750, batch loss=0.028169, epoch loss=0.150532 Batch=419, step=19620, lr=0.118500, batch loss=0.020320, epoch loss=0.170852 Batch=479, step=19680, lr=0.118250, batch loss=0.007119, epoch loss=0.177971 Batch=539, step=19740, lr=0.118000, batch loss=0.018327, epoch loss=0.196298 Batch=599, step=19800, lr=0.117750, batch loss=0.022148, epoch loss=0.218446 Batch=659, step=19860, lr=0.117500, batch loss=0.019529, epoch loss=0.237975 Batch=719, step=19920, lr=0.117250, batch loss=0.038860, epoch loss=0.276836 Batch=779, step=19980, lr=0.117000, batch loss=0.081322, epoch loss=0.358158 Batch=839, step=20040, lr=0.116750, batch loss=0.033691, epoch loss=0.391849 Batch=899, step=20100, lr=0.116500, batch loss=0.030655, epoch loss=0.422503 Batch=959, step=20160, lr=0.116250, batch loss=0.017946, epoch loss=0.440449 Batch=1019, step=20220, lr=0.116000, batch loss=0.025362, epoch loss=0.465812 Batch=1079, step=20280, lr=0.115750, batch loss=0.004215, epoch loss=0.470026 Batch=1139, step=20340, lr=0.115500, batch loss=0.014985, epoch loss=0.485012 Batch=1199, step=20400, lr=0.115250, batch loss=0.006251, epoch loss=0.491262 Epoch=16, step=20400, lr=0.115250, epoch loss=0.491262 Batch=59, step=20460, lr=0.115000, batch loss=0.003178, epoch loss=0.003178 Batch=119, step=20520, lr=0.114750, batch loss=0.009601, epoch loss=0.012778 Batch=179, step=20580, lr=0.114500, batch loss=0.026299, epoch loss=0.039078 Batch=239, step=20640, lr=0.114250, batch loss=0.014495, epoch loss=0.053572 Batch=299, step=20700, lr=0.114000, batch loss=0.009100, epoch loss=0.062673 Batch=359, step=20760, lr=0.113750, batch loss=0.019474, epoch loss=0.082146 Batch=419, step=20820, lr=0.113500, batch loss=0.015738, epoch loss=0.097884 Batch=479, step=20880, lr=0.113250, batch loss=0.003680, epoch loss=0.101564 Batch=539, step=20940, lr=0.113000, batch loss=0.022822, epoch loss=0.124386 Batch=599, step=21000, lr=0.112750, batch loss=0.024552, epoch loss=0.148938 Batch=659, step=21060, lr=0.112500, batch loss=0.013701, epoch loss=0.162639 Batch=719, step=21120, lr=0.112250, batch loss=0.024994, epoch loss=0.187634 Batch=779, step=21180, lr=0.112000, batch loss=0.047000, epoch loss=0.234634 Batch=839, step=21240, lr=0.111750, batch loss=0.027330, epoch loss=0.261964 Batch=899, step=21300, lr=0.111500, batch loss=0.030185, epoch loss=0.292149 Batch=959, step=21360, lr=0.111250, batch loss=0.012446, epoch loss=0.304595 Batch=1019, step=21420, lr=0.111000, batch loss=0.011704, epoch loss=0.316299 Batch=1079, step=21480, lr=0.110750, batch loss=0.001707, epoch loss=0.318006 Batch=1139, step=21540, lr=0.110500, batch loss=0.013018, epoch loss=0.331024 Batch=1199, step=21600, lr=0.110250, batch loss=0.005263, epoch loss=0.336287 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336287 Batch=59, step=21660, lr=0.110000, batch loss=0.002551, epoch loss=0.002551 Batch=119, step=21720, lr=0.109750, batch loss=0.007067, epoch loss=0.009618 Batch=179, step=21780, lr=0.109500, batch loss=0.012544, epoch loss=0.022163 Batch=239, step=21840, lr=0.109250, batch loss=0.010275, epoch loss=0.032437 Batch=299, step=21900, lr=0.109000, batch loss=0.013446, epoch loss=0.045883 Batch=359, step=21960, lr=0.108750, batch loss=0.014361, epoch loss=0.060244 Batch=419, step=22020, lr=0.108500, batch loss=0.013403, epoch loss=0.073647 Batch=479, step=22080, lr=0.108250, batch loss=0.003127, epoch loss=0.076774 Batch=539, step=22140, lr=0.108000, batch loss=0.016581, epoch loss=0.093355 Batch=599, step=22200, lr=0.107750, batch loss=0.016142, epoch loss=0.109497 Batch=659, step=22260, lr=0.107500, batch loss=0.011776, epoch loss=0.121274 Batch=719, step=22320, lr=0.107250, batch loss=0.017433, epoch loss=0.138707 Batch=779, step=22380, lr=0.107000, batch loss=0.024754, epoch loss=0.163461 Batch=839, step=22440, lr=0.106750, batch loss=0.027507, epoch loss=0.190968 Batch=899, step=22500, lr=0.106500, batch loss=0.025046, epoch loss=0.216014 Batch=959, step=22560, lr=0.106250, batch loss=0.009381, epoch loss=0.225395 Batch=1019, step=22620, lr=0.106000, batch loss=0.010215, epoch loss=0.235611 Batch=1079, step=22680, lr=0.105750, batch loss=0.001768, epoch loss=0.237379 Batch=1139, step=22740, lr=0.105250, batch loss=0.011085, epoch loss=0.248464 Batch=1199, step=22800, lr=0.105250, batch loss=0.005190, epoch loss=0.253653 Epoch=18, step=22800, lr=0.105250, epoch loss=0.253653 Batch=59, step=22860, lr=0.105000, batch loss=0.002782, epoch loss=0.002782 Batch=119, step=22920, lr=0.104750, batch loss=0.005080, epoch loss=0.007862 Batch=179, step=22980, lr=0.104500, batch loss=0.013435, epoch loss=0.021297 Batch=239, step=23040, lr=0.104250, batch loss=0.008858, epoch loss=0.030155 Batch=299, step=23100, lr=0.104000, batch loss=0.001501, epoch loss=0.031655 Batch=359, step=23160, lr=0.103750, batch loss=0.011869, epoch loss=0.043524 Batch=419, step=23220, lr=0.103250, batch loss=0.009977, epoch loss=0.053501 Batch=479, step=23280, lr=0.103250, batch loss=0.002119, epoch loss=0.055619 Batch=539, step=23340, lr=0.103000, batch loss=0.017094, epoch loss=0.072713 Batch=599, step=23400, lr=0.102750, batch loss=0.013691, epoch loss=0.086404 Batch=659, step=23460, lr=0.102250, batch loss=0.011261, epoch loss=0.097664 Batch=719, step=23520, lr=0.102250, batch loss=0.011966, epoch loss=0.109631 Batch=779, step=23580, lr=0.102000, batch loss=0.024502, epoch loss=0.134132 Batch=839, step=23640, lr=0.101750, batch loss=0.024638, epoch loss=0.158770 Batch=899, step=23700, lr=0.101500, batch loss=0.023355, epoch loss=0.182125 Batch=959, step=23760, lr=0.101000, batch loss=0.008082, epoch loss=0.190207 Batch=1019, step=23820, lr=0.101000, batch loss=0.007833, epoch loss=0.198040 Batch=1079, step=23880, lr=0.100750, batch loss=0.000727, epoch loss=0.198767 Batch=1139, step=23940, lr=0.100500, batch loss=0.008801, epoch loss=0.207567 Batch=1199, step=24000, lr=0.100250, batch loss=0.004284, epoch loss=0.211852 Epoch=19, step=24000, lr=0.100250, epoch loss=0.211852 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:49.23 ---> saved as "eee56aacda40585c4da0c545bea453d690682d7b538cfc96253799794dad674c" Job succeeded 2025-03-21 15:49.23: Job succeeded