2025-04-07 01:09.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (463c57039dce5e7ebd23e4739665cbc647a282e4) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 463c5703 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 2025-04-07 01:09.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-efebc0f43d6840ef29ae97b9929f46df" 2025-04-07 01:09.40: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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")) ) 2025-04-07 01:09.40: Waiting for resource in pool OCluster 2025-04-07 01:09.40: Waiting for worker… 2025-04-07 01:09.41: Got resource from pool OCluster Building on asteria.caelum.ci.dev All commits already cached HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) Unable to find image 'ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71' locally docker.io/ocaml/opam@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71: Pulling from ocaml/opam 32c10d711c14: Pulling fs layer 9b05a269498d: Pulling fs layer d0f40cfd6135: Pulling fs layer bd1fa6ac919d: Pulling fs layer d024cd117e57: Pulling fs layer eea43bb88c6e: Pulling fs layer 9b05a269498d: Waiting bd1fa6ac919d: Waiting d024cd117e57: Waiting 8729d0c67864: Pulling fs layer eea43bb88c6e: Waiting 04c95b96dbe8: Pulling fs layer d143bf199a85: Pulling fs layer 32c10d711c14: Download complete 9b05a269498d: Verifying Checksum 9b05a269498d: Download complete bd1fa6ac919d: Verifying Checksum bd1fa6ac919d: Download complete d024cd117e57: Verifying Checksum d024cd117e57: Download complete 32c10d711c14: Pull complete 9b05a269498d: Pull complete d0f40cfd6135: Pull complete bd1fa6ac919d: Pull complete d024cd117e57: Pull complete eea43bb88c6e: Verifying Checksum eea43bb88c6e: Download complete 8729d0c67864: Verifying Checksum 8729d0c67864: Download complete 04c95b96dbe8: Verifying Checksum 04c95b96dbe8: Download complete eea43bb88c6e: Pull complete 8729d0c67864: Pull complete 04c95b96dbe8: Pull complete d143bf199a85: Verifying Checksum d143bf199a85: Download complete d143bf199a85: Pull complete Digest: sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Status: Downloaded newer image for ocaml/opam@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 2025-04-07 01:12.00 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-04-07 01:12.00 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-04-07 01:13.06 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-04-07 01:13.07 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-07 01:13.07 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..598efb46ec master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-07 01:14.10 ---> saved as "1d5d877a3e87bbe3de5a5d3b6e7441bcaf6145834b8a69936ee63af9661d2f11" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-07 01:14.11 ---> saved as "f8a05d75b173d751c63e3df18ed3e820bf9d3be2d25e0e4f635b0d11ee109dd1" /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) 2025-04-07 01:14.14 ---> saved as "9603e77e56aa3bd6bdc9eec3d8784153571e36eca0d22b0c4d3c43df747804cc" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-07 01:14.14 ---> saved as "ac85aa6f863511524ba085648b90ce28da77e7559c0667e4231df4554853aafb" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm-updates/main amd64 Packages.diff/Index [16.2 kB] - Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Get:5 http://deb.debian.org/debian bookworm-updates/main amd64 Packages T-2025-03-27-1414.15-F-2025-03-27-1414.15.pdiff [187 B] - Get:6 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [251 kB] - Fetched 371 kB in 4s (87.8 kB/s) - Reading package lists... <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-04-07 01:14.33 ---> saved as "081d1b629dbf30cc80a3efde658fa8682cd80102e52cd28719e8ea394e854e8f" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - 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 3.18.0 - install dune-configurator 3.18.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - 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-version 4.0.0 - 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 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - 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 thread-local-storage 0.2 - 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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> installed conf-libffi.2.0.0 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (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_fields_conv.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (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 thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed backoff.0.1.1 -> installed ppx_derivers.1.2.1 -> installed bigarray-compat.1.1.0 -> installed csexp.1.5.2 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> 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 ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed printbox-md.0.12 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> 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) 2025-04-07 01:15.42 ---> saved as "df912d13f5075ab657e15362266e8f090278b2b24c44ee7e2ec3a5dde85f9b54" /src: (copy (src .) (dst /src)) 2025-04-07 01:15.43 ---> saved as "93c489fee05b4bf3a7edeb965555f7e387619a5871511f21ce70319772d6c179" /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/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a3070db7221f1c5ec3127d8aa7e6f211/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.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/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.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/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.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/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d2f1e7e7bf962dc058a89b3d19dd2228/default/test && .tutorials.inline-tests/inline-test-runner.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/d2f1e7e7bf962dc058a89b3d19dd2228/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=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164250, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278200, epoch loss=0.870758 Batch=299, step=8700, lr=0.164000, batch loss=0.192005, epoch loss=1.062764 Batch=359, step=8760, lr=0.163750, batch loss=0.248622, epoch loss=1.311386 Batch=419, step=8820, lr=0.163500, batch loss=0.245612, epoch loss=1.556997 Batch=479, step=8880, lr=0.163250, batch loss=0.228580, epoch loss=1.785577 Batch=539, step=8940, lr=0.163000, batch loss=0.178144, epoch loss=1.963722 Batch=599, step=9000, lr=0.162750, batch loss=0.217374, epoch loss=2.181096 Batch=659, step=9060, lr=0.162500, batch loss=0.294825, epoch loss=2.475921 Batch=719, step=9120, lr=0.162250, batch loss=0.296426, epoch loss=2.772347 Batch=779, step=9180, lr=0.162000, batch loss=0.316743, epoch loss=3.089090 Batch=839, step=9240, lr=0.161750, batch loss=0.287236, epoch loss=3.376326 Batch=899, step=9300, lr=0.161500, batch loss=0.251071, epoch loss=3.627396 Batch=959, step=9360, lr=0.161250, batch loss=0.190516, epoch loss=3.817912 Batch=1019, step=9420, lr=0.161000, batch loss=0.311755, epoch loss=4.129667 Batch=1079, step=9480, lr=0.160750, batch loss=0.191566, epoch loss=4.321233 Batch=1139, step=9540, lr=0.160500, batch loss=0.215786, epoch loss=4.537019 Batch=1199, step=9600, lr=0.160250, batch loss=0.165621, epoch loss=4.702640 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702640 Batch=59, step=9660, lr=0.160000, batch loss=0.197204, epoch loss=0.197204 Batch=119, step=9720, lr=0.159750, batch loss=0.165477, epoch loss=0.362681 Batch=179, step=9780, lr=0.159500, batch loss=0.179290, epoch loss=0.541971 Batch=239, step=9840, lr=0.159250, batch loss=0.263834, epoch loss=0.805805 Batch=299, step=9900, lr=0.159000, batch loss=0.182201, epoch loss=0.988006 Batch=359, step=9960, lr=0.158750, batch loss=0.240831, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232990, epoch loss=1.461826 Batch=479, step=10080, lr=0.158250, batch loss=0.213182, epoch loss=1.675008 Batch=539, step=10140, lr=0.158000, batch loss=0.170706, epoch loss=1.845714 Batch=599, step=10200, lr=0.157750, batch loss=0.200233, epoch loss=2.045947 Batch=659, step=10260, lr=0.157500, batch loss=0.283044, epoch loss=2.328992 Batch=719, step=10320, lr=0.157250, batch loss=0.288745, epoch loss=2.617737 Batch=779, step=10380, lr=0.157000, batch loss=0.296894, epoch loss=2.914630 Batch=839, step=10440, lr=0.156750, batch loss=0.267651, epoch loss=3.182281 Batch=899, step=10500, lr=0.156500, batch loss=0.242714, epoch loss=3.424996 Batch=959, step=10560, lr=0.156250, batch loss=0.198648, epoch loss=3.623643 Batch=1019, step=10620, lr=0.156000, batch loss=0.295147, epoch loss=3.918790 Batch=1079, step=10680, lr=0.155750, batch loss=0.178633, epoch loss=4.097423 Batch=1139, step=10740, lr=0.155500, batch loss=0.205442, epoch loss=4.302865 Batch=1199, step=10800, lr=0.155250, batch loss=0.156134, epoch loss=4.459000 Epoch=8, step=10800, lr=0.155250, epoch loss=4.459000 Batch=59, step=10860, lr=0.155000, batch loss=0.177418, epoch loss=0.177418 Batch=119, step=10920, lr=0.154750, batch loss=0.152377, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167116, epoch loss=0.496911 Batch=239, step=11040, lr=0.154250, batch loss=0.242618, epoch loss=0.739529 Batch=299, step=11100, lr=0.154000, batch loss=0.169999, epoch loss=0.909528 Batch=359, step=11160, lr=0.153750, batch loss=0.222126, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229267, epoch loss=1.360921 Batch=479, step=11280, lr=0.153250, batch loss=0.202858, epoch loss=1.563778 Batch=539, step=11340, lr=0.153000, batch loss=0.159129, epoch loss=1.722908 Batch=599, step=11400, lr=0.152750, batch loss=0.178486, epoch loss=1.901393 Batch=659, step=11460, lr=0.152500, batch loss=0.264737, epoch loss=2.166130 Batch=719, step=11520, lr=0.152250, batch loss=0.256950, epoch loss=2.423080 Batch=779, step=11580, lr=0.152000, batch loss=0.273298, epoch loss=2.696378 Batch=839, step=11640, lr=0.151750, batch loss=0.255893, epoch loss=2.952271 Batch=899, step=11700, lr=0.151500, batch loss=0.212875, epoch loss=3.165146 Batch=959, step=11760, lr=0.151250, batch loss=0.168372, epoch loss=3.333518 Batch=1019, step=11820, lr=0.151000, batch loss=0.265918, epoch loss=3.599436 Batch=1079, step=11880, lr=0.150750, batch loss=0.149774, epoch loss=3.749210 Batch=1139, step=11940, lr=0.150500, batch loss=0.185393, epoch loss=3.934604 Batch=1199, step=12000, lr=0.150250, batch loss=0.139425, epoch loss=4.074029 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074029 Batch=59, step=12060, lr=0.150000, batch loss=0.158075, epoch loss=0.158075 Batch=119, step=12120, lr=0.149750, batch loss=0.128833, epoch loss=0.286908 Batch=179, step=12180, lr=0.149500, batch loss=0.150448, epoch loss=0.437356 Batch=239, step=12240, lr=0.149250, batch loss=0.223406, epoch loss=0.660762 Batch=299, step=12300, lr=0.149000, batch loss=0.142453, epoch loss=0.803215 Batch=359, step=12360, lr=0.148750, batch loss=0.195664, epoch loss=0.998878 Batch=419, step=12420, lr=0.148500, batch loss=0.206128, epoch loss=1.205007 Batch=479, step=12480, lr=0.148250, batch loss=0.178789, epoch loss=1.383796 Batch=539, step=12540, lr=0.148000, batch loss=0.142508, epoch loss=1.526305 Batch=599, step=12600, lr=0.147750, batch loss=0.150436, epoch loss=1.676741 Batch=659, step=12660, lr=0.147500, batch loss=0.224910, epoch loss=1.901651 Batch=719, step=12720, lr=0.147250, batch loss=0.235786, epoch loss=2.137437 Batch=779, step=12780, lr=0.147000, batch loss=0.260071, epoch loss=2.397508 Batch=839, step=12840, lr=0.146750, batch loss=0.236214, epoch loss=2.633722 Batch=899, step=12900, lr=0.146500, batch loss=0.230729, epoch loss=2.864451 Batch=959, step=12960, lr=0.146250, batch loss=0.137018, epoch loss=3.001470 Batch=1019, step=13020, lr=0.146000, batch loss=0.204242, epoch loss=3.205711 Batch=1079, step=13080, lr=0.145750, batch loss=0.110293, epoch loss=3.316004 Batch=1139, step=13140, lr=0.145500, batch loss=0.143686, epoch loss=3.459690 Batch=1199, step=13200, lr=0.145250, batch loss=0.117353, epoch loss=3.577043 Epoch=10, step=13200, lr=0.145250, epoch loss=3.577043 Batch=59, step=13260, lr=0.145000, batch loss=0.144156, epoch loss=0.144156 Batch=119, step=13320, lr=0.144750, batch loss=0.127081, epoch loss=0.271237 Batch=179, step=13380, lr=0.144500, batch loss=0.128657, epoch loss=0.399894 Batch=239, step=13440, lr=0.144250, batch loss=0.190120, epoch loss=0.590014 Batch=299, step=13500, lr=0.144000, batch loss=0.119921, epoch loss=0.709935 Batch=359, step=13560, lr=0.143750, batch loss=0.164721, epoch loss=0.874656 Batch=419, step=13620, lr=0.143500, batch loss=0.182596, epoch loss=1.057253 Batch=479, step=13680, lr=0.143250, batch loss=0.136893, epoch loss=1.194145 Batch=539, step=13740, lr=0.143000, batch loss=0.118223, epoch loss=1.312368 Batch=599, step=13800, lr=0.142750, batch loss=0.119698, epoch loss=1.432066 Batch=659, step=13860, lr=0.142500, batch loss=0.177302, epoch loss=1.609368 Batch=719, step=13920, lr=0.142250, batch loss=0.174163, epoch loss=1.783530 Batch=779, step=13980, lr=0.141750, batch loss=0.198862, epoch loss=1.982392 Batch=839, step=14040, lr=0.141750, batch loss=0.195896, epoch loss=2.178288 Batch=899, step=14100, lr=0.141500, batch loss=0.206739, epoch loss=2.385027 Batch=959, step=14160, lr=0.141250, batch loss=0.114148, epoch loss=2.499175 Batch=1019, step=14220, lr=0.141000, batch loss=0.197938, epoch loss=2.697113 Batch=1079, step=14280, lr=0.140750, batch loss=0.078005, epoch loss=2.775118 Batch=1139, step=14340, lr=0.140500, batch loss=0.120829, epoch loss=2.895947 Batch=1199, step=14400, lr=0.140250, batch loss=0.086526, epoch loss=2.982473 Epoch=11, step=14400, lr=0.140250, epoch loss=2.982473 Batch=59, step=14460, lr=0.140000, batch loss=0.104291, epoch loss=0.104291 Batch=119, step=14520, lr=0.139750, batch loss=0.099266, epoch loss=0.203557 Batch=179, step=14580, lr=0.139500, batch loss=0.097893, epoch loss=0.301450 Batch=239, step=14640, lr=0.139250, batch loss=0.145023, epoch loss=0.446473 Batch=299, step=14700, lr=0.139000, batch loss=0.110714, epoch loss=0.557187 Batch=359, step=14760, lr=0.138750, batch loss=0.133911, epoch loss=0.691098 Batch=419, step=14820, lr=0.138500, batch loss=0.167531, epoch loss=0.858629 Batch=479, step=14880, lr=0.138250, batch loss=0.086566, epoch loss=0.945195 Batch=539, step=14940, lr=0.138000, batch loss=0.069863, epoch loss=1.015058 Batch=599, step=15000, lr=0.137750, batch loss=0.091629, epoch loss=1.106687 Batch=659, step=15060, lr=0.137500, batch loss=0.126802, epoch loss=1.233489 Batch=719, step=15120, lr=0.137250, batch loss=0.120133, epoch loss=1.353622 Batch=779, step=15180, lr=0.137000, batch loss=0.130990, epoch loss=1.484612 Batch=839, step=15240, lr=0.136750, batch loss=0.175467, epoch loss=1.660080 Batch=899, step=15300, lr=0.136500, batch loss=0.293448, epoch loss=1.953527 Batch=959, step=15360, lr=0.136250, batch loss=0.060643, epoch loss=2.014170 Batch=1019, step=15420, lr=0.136000, batch loss=0.136461, epoch loss=2.150631 Batch=1079, step=15480, lr=0.135750, batch loss=0.049054, epoch loss=2.199685 Batch=1139, step=15540, lr=0.135500, batch loss=0.106150, epoch loss=2.305835 Batch=1199, step=15600, lr=0.135250, batch loss=0.062416, epoch loss=2.368251 Epoch=12, step=15600, lr=0.135250, epoch loss=2.368251 Batch=59, step=15660, lr=0.135000, batch loss=0.076227, epoch loss=0.076227 Batch=119, step=15720, lr=0.134750, batch loss=0.101038, epoch loss=0.177265 Batch=179, step=15780, lr=0.134500, batch loss=0.087248, epoch loss=0.264512 Batch=239, step=15840, lr=0.134250, batch loss=0.091800, epoch loss=0.356313 Batch=299, step=15900, lr=0.134000, batch loss=0.040622, epoch loss=0.396935 Batch=359, step=15960, lr=0.133750, batch loss=0.075867, epoch loss=0.472802 Batch=419, step=16020, lr=0.133500, batch loss=0.076843, epoch loss=0.549645 Batch=479, step=16080, lr=0.133250, batch loss=0.059377, epoch loss=0.609021 Batch=539, step=16140, lr=0.133000, batch loss=0.066975, epoch loss=0.675997 Batch=599, step=16200, lr=0.132750, batch loss=0.154674, epoch loss=0.830671 Batch=659, step=16260, lr=0.132500, batch loss=0.090331, epoch loss=0.921003 Batch=719, step=16320, lr=0.132250, batch loss=0.128515, epoch loss=1.049517 Batch=779, step=16380, lr=0.132000, batch loss=0.277068, epoch loss=1.326585 Batch=839, step=16440, lr=0.131750, batch loss=0.089254, epoch loss=1.415839 Batch=899, step=16500, lr=0.131500, batch loss=0.074614, epoch loss=1.490453 Batch=959, step=16560, lr=0.131250, batch loss=0.032689, epoch loss=1.523142 Batch=1019, step=16620, lr=0.131000, batch loss=0.065766, epoch loss=1.588908 Batch=1079, step=16680, lr=0.130750, batch loss=0.049143, epoch loss=1.638051 Batch=1139, step=16740, lr=0.130500, batch loss=0.082685, epoch loss=1.720736 Batch=1199, step=16800, lr=0.130250, batch loss=0.037720, epoch loss=1.758456 Epoch=13, step=16800, lr=0.130250, epoch loss=1.758456 Batch=59, step=16860, lr=0.130000, batch loss=0.033538, epoch loss=0.033538 Batch=119, step=16920, lr=0.129750, batch loss=0.033460, epoch loss=0.066998 Batch=179, step=16980, lr=0.129500, batch loss=0.042402, epoch loss=0.109401 Batch=239, step=17040, lr=0.129250, batch loss=0.060788, epoch loss=0.170189 Batch=299, step=17100, lr=0.129000, batch loss=0.029776, epoch loss=0.199964 Batch=359, step=17160, lr=0.128750, batch loss=0.044780, epoch loss=0.244745 Batch=419, step=17220, lr=0.128500, batch loss=0.063883, epoch loss=0.308627 Batch=479, step=17280, lr=0.128250, batch loss=0.024539, epoch loss=0.333167 Batch=539, step=17340, lr=0.128000, batch loss=0.027658, epoch loss=0.360825 Batch=599, step=17400, lr=0.127750, batch loss=0.040303, epoch loss=0.401128 Batch=659, step=17460, lr=0.127500, batch loss=0.051848, epoch loss=0.452976 Batch=719, step=17520, lr=0.127250, batch loss=0.063600, epoch loss=0.516576 Batch=779, step=17580, lr=0.127000, batch loss=0.065295, epoch loss=0.581871 Batch=839, step=17640, lr=0.126750, batch loss=0.102025, epoch loss=0.683896 Batch=899, step=17700, lr=0.126500, batch loss=0.048930, epoch loss=0.732826 Batch=959, step=17760, lr=0.126250, batch loss=0.019828, epoch loss=0.752654 Batch=1019, step=17820, lr=0.126000, batch loss=0.050917, epoch loss=0.803570 Batch=1079, step=17880, lr=0.125750, batch loss=0.049735, epoch loss=0.853306 Batch=1139, step=17940, lr=0.125500, batch loss=0.103982, epoch loss=0.957288 Batch=1199, step=18000, lr=0.125250, batch loss=0.025704, epoch loss=0.982992 Epoch=14, step=18000, lr=0.125250, epoch loss=0.982992 Batch=59, step=18060, lr=0.125000, batch loss=0.018952, epoch loss=0.018952 Batch=119, step=18120, lr=0.124750, batch loss=0.021777, epoch loss=0.040729 Batch=179, step=18180, lr=0.124500, batch loss=0.039933, epoch loss=0.080662 Batch=239, step=18240, lr=0.124250, batch loss=0.041401, epoch loss=0.122062 Batch=299, step=18300, lr=0.124000, batch loss=0.008794, epoch loss=0.130857 Batch=359, step=18360, lr=0.123750, batch loss=0.026136, epoch loss=0.156992 Batch=419, step=18420, lr=0.123500, batch loss=0.029713, epoch loss=0.186705 Batch=479, step=18480, lr=0.123250, batch loss=0.018380, epoch loss=0.205085 Batch=539, step=18540, lr=0.123000, batch loss=0.042244, epoch loss=0.247328 Batch=599, step=18600, lr=0.122750, batch loss=0.026742, epoch loss=0.274071 Batch=659, step=18660, lr=0.122500, batch loss=0.032211, epoch loss=0.306281 Batch=719, step=18720, lr=0.122250, batch loss=0.041405, epoch loss=0.347687 Batch=779, step=18780, lr=0.122000, batch loss=0.109693, epoch loss=0.457380 Batch=839, step=18840, lr=0.121750, batch loss=0.051015, epoch loss=0.508396 Batch=899, step=18900, lr=0.121500, batch loss=0.049316, epoch loss=0.557712 Batch=959, step=18960, lr=0.121250, batch loss=0.014152, epoch loss=0.571864 Batch=1019, step=19020, lr=0.121000, batch loss=0.023548, epoch loss=0.595412 Batch=1079, step=19080, lr=0.120750, batch loss=0.011693, epoch loss=0.607105 Batch=1139, step=19140, lr=0.120500, batch loss=0.022121, epoch loss=0.629226 Batch=1199, step=19200, lr=0.120250, batch loss=0.008709, epoch loss=0.637935 Epoch=15, step=19200, lr=0.120250, epoch loss=0.637935 Batch=59, step=19260, lr=0.120000, batch loss=0.004395, epoch loss=0.004395 Batch=119, step=19320, lr=0.119750, batch loss=0.011953, epoch loss=0.016349 Batch=179, step=19380, lr=0.119500, batch loss=0.019947, epoch loss=0.036295 Batch=239, step=19440, lr=0.119250, batch loss=0.019459, epoch loss=0.055754 Batch=299, step=19500, lr=0.119000, batch loss=0.005008, epoch loss=0.060762 Batch=359, step=19560, lr=0.118750, batch loss=0.017510, epoch loss=0.078272 Batch=419, step=19620, lr=0.118500, batch loss=0.018865, epoch loss=0.097137 Batch=479, step=19680, lr=0.118250, batch loss=0.006256, epoch loss=0.103393 Batch=539, step=19740, lr=0.118000, batch loss=0.026744, epoch loss=0.130137 Batch=599, step=19800, lr=0.117750, batch loss=0.028067, epoch loss=0.158204 Batch=659, step=19860, lr=0.117500, batch loss=0.015813, epoch loss=0.174017 Batch=719, step=19920, lr=0.117250, batch loss=0.034739, epoch loss=0.208756 Batch=779, step=19980, lr=0.117000, batch loss=0.081885, epoch loss=0.290640 Batch=839, step=20040, lr=0.116750, batch loss=0.031700, epoch loss=0.322341 Batch=899, step=20100, lr=0.116500, batch loss=0.028664, epoch loss=0.351004 Batch=959, step=20160, lr=0.116250, batch loss=0.017847, epoch loss=0.368851 Batch=1019, step=20220, lr=0.116000, batch loss=0.023506, epoch loss=0.392357 Batch=1079, step=20280, lr=0.115750, batch loss=0.002767, epoch loss=0.395125 Batch=1139, step=20340, lr=0.115500, batch loss=0.014683, epoch loss=0.409808 Batch=1199, step=20400, lr=0.115250, batch loss=0.006008, epoch loss=0.415816 Epoch=16, step=20400, lr=0.115250, epoch loss=0.415816 Batch=59, step=20460, lr=0.115000, batch loss=0.003371, epoch loss=0.003371 Batch=119, step=20520, lr=0.114750, batch loss=0.008547, epoch loss=0.011918 Batch=179, step=20580, lr=0.114500, batch loss=0.014948, epoch loss=0.026866 Batch=239, step=20640, lr=0.114250, batch loss=0.013421, epoch loss=0.040286 Batch=299, step=20700, lr=0.114000, batch loss=0.003517, epoch loss=0.043803 Batch=359, step=20760, lr=0.113750, batch loss=0.013158, epoch loss=0.056961 Batch=419, step=20820, lr=0.113500, batch loss=0.015385, epoch loss=0.072346 Batch=479, step=20880, lr=0.113250, batch loss=0.004671, epoch loss=0.077016 Batch=539, step=20940, lr=0.113000, batch loss=0.015495, epoch loss=0.092512 Batch=599, step=21000, lr=0.112750, batch loss=0.018742, epoch loss=0.111254 Batch=659, step=21060, lr=0.112500, batch loss=0.015726, epoch loss=0.126980 Batch=719, step=21120, lr=0.112250, batch loss=0.039851, epoch loss=0.166831 Batch=779, step=21180, lr=0.112000, batch loss=0.074373, epoch loss=0.241204 Batch=839, step=21240, lr=0.111750, batch loss=0.026276, epoch loss=0.267480 Batch=899, step=21300, lr=0.111500, batch loss=0.035466, epoch loss=0.302946 Batch=959, step=21360, lr=0.111250, batch loss=0.009524, epoch loss=0.312470 Batch=1019, step=21420, lr=0.111000, batch loss=0.010724, epoch loss=0.323194 Batch=1079, step=21480, lr=0.110750, batch loss=0.001115, epoch loss=0.324309 Batch=1139, step=21540, lr=0.110500, batch loss=0.012515, epoch loss=0.336823 Batch=1199, step=21600, lr=0.110250, batch loss=0.005058, epoch loss=0.341881 Epoch=17, step=21600, lr=0.110250, epoch loss=0.341881 Batch=59, step=21660, lr=0.110000, batch loss=0.001923, epoch loss=0.001923 Batch=119, step=21720, lr=0.109750, batch loss=0.006621, epoch loss=0.008544 Batch=179, step=21780, lr=0.109500, batch loss=0.012712, epoch loss=0.021257 Batch=239, step=21840, lr=0.109250, batch loss=0.012284, epoch loss=0.033540 Batch=299, step=21900, lr=0.109000, batch loss=0.002385, epoch loss=0.035925 Batch=359, step=21960, lr=0.108750, batch loss=0.012419, epoch loss=0.048344 Batch=419, step=22020, lr=0.108500, batch loss=0.011206, epoch loss=0.059549 Batch=479, step=22080, lr=0.108250, batch loss=0.002457, epoch loss=0.062006 Batch=539, step=22140, lr=0.108000, batch loss=0.017448, epoch loss=0.079454 Batch=599, step=22200, lr=0.107750, batch loss=0.016983, epoch loss=0.096437 Batch=659, step=22260, lr=0.107500, batch loss=0.012578, epoch loss=0.109015 Batch=719, step=22320, lr=0.107250, batch loss=0.024349, epoch loss=0.133364 Batch=779, step=22380, lr=0.107000, batch loss=0.036753, epoch loss=0.170116 Batch=839, step=22440, lr=0.106750, batch loss=0.025631, epoch loss=0.195747 Batch=899, step=22500, lr=0.106500, batch loss=0.027209, epoch loss=0.222956 Batch=959, step=22560, lr=0.106250, batch loss=0.009053, epoch loss=0.232010 Batch=1019, step=22620, lr=0.106000, batch loss=0.010263, epoch loss=0.242273 Batch=1079, step=22680, lr=0.105750, batch loss=0.000603, epoch loss=0.242876 Batch=1139, step=22740, lr=0.105500, batch loss=0.010252, epoch loss=0.253128 Batch=1199, step=22800, lr=0.105250, batch loss=0.004498, epoch loss=0.257625 Epoch=18, step=22800, lr=0.105250, epoch loss=0.257625 Batch=59, step=22860, lr=0.105000, batch loss=0.001495, epoch loss=0.001495 Batch=119, step=22920, lr=0.104750, batch loss=0.005456, epoch loss=0.006951 Batch=179, step=22980, lr=0.104500, batch loss=0.010833, epoch loss=0.017784 Batch=239, step=23040, lr=0.104250, batch loss=0.009527, epoch loss=0.027311 Batch=299, step=23100, lr=0.104000, batch loss=0.008821, epoch loss=0.036132 Batch=359, step=23160, lr=0.103750, batch loss=0.012670, epoch loss=0.048802 Batch=419, step=23220, lr=0.103500, batch loss=0.010735, epoch loss=0.059537 Batch=479, step=23280, lr=0.103250, batch loss=0.002604, epoch loss=0.062141 Batch=539, step=23340, lr=0.103000, batch loss=0.016721, epoch loss=0.078862 Batch=599, step=23400, lr=0.102750, batch loss=0.013738, epoch loss=0.092600 Batch=659, step=23460, lr=0.102500, batch loss=0.011428, epoch loss=0.104028 Batch=719, step=23520, lr=0.102250, batch loss=0.011854, epoch loss=0.115882 Batch=779, step=23580, lr=0.102000, batch loss=0.022794, epoch loss=0.138676 Batch=839, step=23640, lr=0.101750, batch loss=0.027548, epoch loss=0.166224 Batch=899, step=23700, lr=0.101500, batch loss=0.021537, epoch loss=0.187761 Batch=959, step=23760, lr=0.101250, batch loss=0.009652, epoch loss=0.197413 Batch=1019, step=23820, lr=0.101000, batch loss=0.007113, epoch loss=0.204526 Batch=1079, step=23880, lr=0.100750, batch loss=0.001814, epoch loss=0.206339 Batch=1139, step=23940, lr=0.100500, batch loss=0.008815, epoch loss=0.215155 Batch=1199, step=24000, lr=0.100250, batch loss=0.004721, epoch loss=0.219876 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219876 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-07 01:16.00 ---> saved as "d801ac1ed65d9b10a4acde3d6dcfeca4130d555ab9f5d02c4ee7213c93123e17" Job succeeded 2025-04-07 01:16.01: Job succeeded