debian-12-5.2_opam-2.3

2025-05-13 09:20.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (3718ebe9309e6ac813c55f036a309225294304ef) (linux-x86_64:debian-12-5.2_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 3718ebe9
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
# 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 pprint.20230830 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


2025-05-13 09:20.24: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-2f9e463b934c3596793f881f51cf211b"
2025-05-13 09:20.24: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1)
(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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 pprint.20230830 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"))
)


2025-05-13 09:20.24: Waiting for resource in pool OCluster
2025-05-13 09:20.24: Waiting for worker…
2025-05-13 09:20.24: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
All commits already cached
HEAD is now at 3718ebe9 Bug fix pp_array_offset (AI slop)


(from ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1' locally
docker.io/ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1: Pulling from ocaml/opam
9cdcd98c6ce0: Pulling fs layer
9cdcd98c6ce0: Verifying Checksum
9cdcd98c6ce0: Download complete
9cdcd98c6ce0: Pull complete
Digest: sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
Status: Downloaded newer image for ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
2025-05-13 09:20.26 ---> using "1e66ecc7d7e61d810d21a4f5e44a79cf3d0085d03dd619e291339b82babc9396" from cache


/: (comment debian-12-5.2_opam-2.3)


/: (user (uid 1000) (gid 1000))


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-13 09:20.26 ---> using "dc0b666cc75679ae6a49153c6cbce93c4a467ab554efc4453ae4710a80807e28" from cache


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=39 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-13 09:20.26 ---> using "dd0dd0c6c175495539e514d9b8eb3a5c8c54df3004aef3012bd9510a35431074" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-139-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-05-13 09:20.26 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-13 09:20.26 ---> using "adad71f7be3674bb64006589356cef212f5b208a9e2ccf9dafdea469a7383c30" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
34a3fc46c3..0d013e603b  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+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)
2025-05-13 09:20.26 ---> using "8fae668f01201e0c07b781e1807b1c0f80497b917ca0e866a96102198ec7eecc" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-13 09:20.26 ---> using "ac66bd279051eea174c8ff38b22abfd7b5917f1f58b5f71d7c3712ff6d23b0cd" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-13 09:20.26 ---> using "3211f3facbaed203a239a213126041642fcc42dd51b67e05aeff49b7d439e7dd" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-13 09:20.26 ---> using "6f73b58b50d0772dc1e6ddbacfa8a2591c10c3ceb483c5cda8127ace02db4fa8" from cache


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 pprint.20230830 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-security bookworm-security/main amd64 Packages [258 kB]
- Fetched 361 kB in 10s (34.7 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 ... 18778 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) ...
2025-05-13 09:20.26 ---> using "7fc6d15d4b16140a991f829996805d1f2961e3d739e2419cb2877ee2825507ae" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 75 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- 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                    3.18.2
- install dune-configurator       3.18.2
- 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 pprint                  20230830
- 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.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (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 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 mdx.2.5.0  (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-version.4.0.0  (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 dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved pprint.20230830  (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)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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 ppxlib.0.35.0  (cached)
-> installed ocamlfind.1.9.8
-> retrieved ppxlib_jane.v0.17.0  (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved ppx_minidebug.2.2.0  (https://github.com/lukstafi/ppx_minidebug/archive/refs/tags/2.2.0.tar.gz)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> installed ocamlbuild.0.16.1
-> retrieved saturn_lockfree.0.5.0  (https://github.com/ocaml-multicore/saturn/releases/download/0.5.0/saturn-0.5.0.tbz)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved thread-local-storage.0.2  (https://github.com/c-cube/thread-local-storage/releases/download/v0.2/thread-local-storage-0.2.tbz)
-> retrieved uucp.16.0.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.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  (https://github.com/c-cube/printbox/releases/download/v0.12/printbox-0.12.tbz)
-> 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.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> installed bigarray-compat.1.1.0
-> 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 pprint.20230830
-> 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.3.18.2
-> installed mdx.2.5.0
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> 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 ppxlib_jane.v0.17.0
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.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 uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ppx_sexp_conv.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-05-13 09:20.26 ---> using "b3d434b3f5dace0857c6f02fa64fe35e993c7d24e6b4eab9a85af0bdd387774a" from cache


/src: (copy (src .) (dst /src))
2025-05-13 09:20.26 ---> saved as "1e85c6ebb07535c53fd4e5251bb312897aceb8fbf3820b2fb13309ab8c72278e"


/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/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8515e6d34b7ff912b782514b737cd39a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/79318c7ae393a712ed9db647252735e2/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/79318c7ae393a712ed9db647252735e2/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
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!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=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161250, batch loss=0.251060, epoch loss=3.627378
Batch=959, step=9360, lr=0.161250, batch loss=0.190451, epoch loss=3.817829
Batch=1019, step=9420, lr=0.161000, batch loss=0.311857, epoch loss=4.129686
Batch=1079, step=9480, lr=0.160750, batch loss=0.191477, epoch loss=4.321162
Batch=1139, step=9540, lr=0.160500, batch loss=0.215839, epoch loss=4.537001
Batch=1199, step=9600, lr=0.160250, batch loss=0.165626, epoch loss=4.702627
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702627
Batch=59, step=9660, lr=0.160000, batch loss=0.197157, epoch loss=0.197157
Batch=119, step=9720, lr=0.159750, batch loss=0.165512, epoch loss=0.362669
Batch=179, step=9780, lr=0.159500, batch loss=0.179293, epoch loss=0.541962
Batch=239, step=9840, lr=0.159250, batch loss=0.263806, epoch loss=0.805768
Batch=299, step=9900, lr=0.159000, batch loss=0.182262, epoch loss=0.988030
Batch=359, step=9960, lr=0.158750, batch loss=0.240777, epoch loss=1.228807
Batch=419, step=10020, lr=0.158500, batch loss=0.232925, epoch loss=1.461733
Batch=479, step=10080, lr=0.158250, batch loss=0.213024, epoch loss=1.674757
Batch=539, step=10140, lr=0.158000, batch loss=0.170729, epoch loss=1.845486
Batch=599, step=10200, lr=0.157750, batch loss=0.200203, epoch loss=2.045689
Batch=659, step=10260, lr=0.157500, batch loss=0.283064, epoch loss=2.328753
Batch=719, step=10320, lr=0.157250, batch loss=0.288726, epoch loss=2.617479
Batch=779, step=10380, lr=0.157000, batch loss=0.296856, epoch loss=2.914335
Batch=839, step=10440, lr=0.156750, batch loss=0.266764, epoch loss=3.181099
Batch=899, step=10500, lr=0.156500, batch loss=0.243464, epoch loss=3.424562
Batch=959, step=10560, lr=0.156250, batch loss=0.195564, epoch loss=3.620126
Batch=1019, step=10620, lr=0.156000, batch loss=0.284004, epoch loss=3.904130
Batch=1079, step=10680, lr=0.155750, batch loss=0.171405, epoch loss=4.075535
Batch=1139, step=10740, lr=0.155500, batch loss=0.203883, epoch loss=4.279418
Batch=1199, step=10800, lr=0.155250, batch loss=0.156225, epoch loss=4.435644
Epoch=8, step=10800, lr=0.155250, epoch loss=4.435644
Batch=59, step=10860, lr=0.155000, batch loss=0.178789, epoch loss=0.178789
Batch=119, step=10920, lr=0.154750, batch loss=0.151391, epoch loss=0.330179
Batch=179, step=10980, lr=0.154500, batch loss=0.167494, epoch loss=0.497673
Batch=239, step=11040, lr=0.154250, batch loss=0.251292, epoch loss=0.748965
Batch=299, step=11100, lr=0.154000, batch loss=0.163145, epoch loss=0.912110
Batch=359, step=11160, lr=0.153750, batch loss=0.225473, epoch loss=1.137582
Batch=419, step=11220, lr=0.153500, batch loss=0.227132, epoch loss=1.364714
Batch=479, step=11280, lr=0.153250, batch loss=0.203860, epoch loss=1.568574
Batch=539, step=11340, lr=0.153000, batch loss=0.157961, epoch loss=1.726536
Batch=599, step=11400, lr=0.152750, batch loss=0.180887, epoch loss=1.907423
Batch=659, step=11460, lr=0.152500, batch loss=0.262406, epoch loss=2.169829
Batch=719, step=11520, lr=0.152250, batch loss=0.255290, epoch loss=2.425120
Batch=779, step=11580, lr=0.152000, batch loss=0.272205, epoch loss=2.697325
Batch=839, step=11640, lr=0.151750, batch loss=0.255248, epoch loss=2.952572
Batch=899, step=11700, lr=0.151500, batch loss=0.217377, epoch loss=3.169949
Batch=959, step=11760, lr=0.151250, batch loss=0.176292, epoch loss=3.346241
Batch=1019, step=11820, lr=0.151000, batch loss=0.267059, epoch loss=3.613300
Batch=1079, step=11880, lr=0.150750, batch loss=0.150302, epoch loss=3.763602
Batch=1139, step=11940, lr=0.150500, batch loss=0.185852, epoch loss=3.949454
Batch=1199, step=12000, lr=0.150250, batch loss=0.139275, epoch loss=4.088729
Epoch=9, step=12000, lr=0.150250, epoch loss=4.088729
Batch=59, step=12060, lr=0.150000, batch loss=0.157990, epoch loss=0.157990
Batch=119, step=12120, lr=0.149750, batch loss=0.127891, epoch loss=0.285882
Batch=179, step=12180, lr=0.149500, batch loss=0.151776, epoch loss=0.437658
Batch=239, step=12240, lr=0.149250, batch loss=0.221945, epoch loss=0.659603
Batch=299, step=12300, lr=0.149000, batch loss=0.143590, epoch loss=0.803193
Batch=359, step=12360, lr=0.148750, batch loss=0.196908, epoch loss=1.000101
Batch=419, step=12420, lr=0.148500, batch loss=0.208178, epoch loss=1.208280
Batch=479, step=12480, lr=0.148250, batch loss=0.177163, epoch loss=1.385443
Batch=539, step=12540, lr=0.148000, batch loss=0.143687, epoch loss=1.529130
Batch=599, step=12600, lr=0.147750, batch loss=0.153634, epoch loss=1.682763
Batch=659, step=12660, lr=0.147500, batch loss=0.235081, epoch loss=1.917845
Batch=719, step=12720, lr=0.147250, batch loss=0.233394, epoch loss=2.151238
Batch=779, step=12780, lr=0.147000, batch loss=0.254675, epoch loss=2.405914
Batch=839, step=12840, lr=0.146750, batch loss=0.235098, epoch loss=2.641011
Batch=899, step=12900, lr=0.146500, batch loss=0.221519, epoch loss=2.862531
Batch=959, step=12960, lr=0.146250, batch loss=0.145219, epoch loss=3.007750
Batch=1019, step=13020, lr=0.146000, batch loss=0.242077, epoch loss=3.249827
Batch=1079, step=13080, lr=0.145750, batch loss=0.112937, epoch loss=3.362764
Batch=1139, step=13140, lr=0.145500, batch loss=0.147976, epoch loss=3.510740
Batch=1199, step=13200, lr=0.145250, batch loss=0.116483, epoch loss=3.627223
Epoch=10, step=13200, lr=0.145250, epoch loss=3.627223
Batch=59, step=13260, lr=0.145000, batch loss=0.137973, epoch loss=0.137973
Batch=119, step=13320, lr=0.144750, batch loss=0.122240, epoch loss=0.260212
Batch=179, step=13380, lr=0.144500, batch loss=0.128646, epoch loss=0.388858
Batch=239, step=13440, lr=0.144250, batch loss=0.192953, epoch loss=0.581811
Batch=299, step=13500, lr=0.144000, batch loss=0.117327, epoch loss=0.699138
Batch=359, step=13560, lr=0.143750, batch loss=0.160564, epoch loss=0.859702
Batch=419, step=13620, lr=0.143500, batch loss=0.160997, epoch loss=1.020699
Batch=479, step=13680, lr=0.143250, batch loss=0.144720, epoch loss=1.165419
Batch=539, step=13740, lr=0.143000, batch loss=0.118500, epoch loss=1.283919
Batch=599, step=13800, lr=0.142750, batch loss=0.119989, epoch loss=1.403907
Batch=659, step=13860, lr=0.142500, batch loss=0.175587, epoch loss=1.579494
Batch=719, step=13920, lr=0.142250, batch loss=0.177817, epoch loss=1.757311
Batch=779, step=13980, lr=0.142000, batch loss=0.197010, epoch loss=1.954321
Batch=839, step=14040, lr=0.141750, batch loss=0.187161, epoch loss=2.141482
Batch=899, step=14100, lr=0.141500, batch loss=0.157426, epoch loss=2.298907
Batch=959, step=14160, lr=0.141250, batch loss=0.134051, epoch loss=2.432958
Batch=1019, step=14220, lr=0.141000, batch loss=0.265493, epoch loss=2.698451
Batch=1079, step=14280, lr=0.140750, batch loss=0.086726, epoch loss=2.785177
Batch=1139, step=14340, lr=0.140500, batch loss=0.130784, epoch loss=2.915961
Batch=1199, step=14400, lr=0.140250, batch loss=0.091472, epoch loss=3.007433
Epoch=11, step=14400, lr=0.140250, epoch loss=3.007433
Batch=59, step=14460, lr=0.140000, batch loss=0.120255, epoch loss=0.120255
Batch=119, step=14520, lr=0.139750, batch loss=0.115438, epoch loss=0.235693
Batch=179, step=14580, lr=0.139500, batch loss=0.106939, epoch loss=0.342632
Batch=239, step=14640, lr=0.139250, batch loss=0.138074, epoch loss=0.480706
Batch=299, step=14700, lr=0.139000, batch loss=0.067290, epoch loss=0.547996
Batch=359, step=14760, lr=0.138750, batch loss=0.110099, epoch loss=0.658095
Batch=419, step=14820, lr=0.138500, batch loss=0.120082, epoch loss=0.778176
Batch=479, step=14880, lr=0.138250, batch loss=0.107740, epoch loss=0.885916
Batch=539, step=14940, lr=0.138000, batch loss=0.115182, epoch loss=1.001098
Batch=599, step=15000, lr=0.137750, batch loss=0.085161, epoch loss=1.086259
Batch=659, step=15060, lr=0.137500, batch loss=0.130559, epoch loss=1.216818
Batch=719, step=15120, lr=0.137250, batch loss=0.117882, epoch loss=1.334700
Batch=779, step=15180, lr=0.137000, batch loss=0.118722, epoch loss=1.453422
Batch=839, step=15240, lr=0.136750, batch loss=0.127219, epoch loss=1.580641
Batch=899, step=15300, lr=0.136500, batch loss=0.122932, epoch loss=1.703573
Batch=959, step=15360, lr=0.136250, batch loss=0.129813, epoch loss=1.833386
Batch=1019, step=15420, lr=0.136000, batch loss=0.412260, epoch loss=2.245646
Batch=1079, step=15480, lr=0.135750, batch loss=0.038492, epoch loss=2.284138
Batch=1139, step=15540, lr=0.135500, batch loss=0.077363, epoch loss=2.361501
Batch=1199, step=15600, lr=0.135250, batch loss=0.056883, epoch loss=2.418385
Epoch=12, step=15600, lr=0.135250, epoch loss=2.418385
Batch=59, step=15660, lr=0.135000, batch loss=0.078188, epoch loss=0.078188
Batch=119, step=15720, lr=0.134750, batch loss=0.097901, epoch loss=0.176088
Batch=179, step=15780, lr=0.134500, batch loss=0.089558, epoch loss=0.265647
Batch=239, step=15840, lr=0.134250, batch loss=0.092812, epoch loss=0.358458
Batch=299, step=15900, lr=0.134000, batch loss=0.040547, epoch loss=0.399006
Batch=359, step=15960, lr=0.133750, batch loss=0.074412, epoch loss=0.473418
Batch=419, step=16020, lr=0.133500, batch loss=0.076436, epoch loss=0.549854
Batch=479, step=16080, lr=0.133250, batch loss=0.049686, epoch loss=0.599540
Batch=539, step=16140, lr=0.133000, batch loss=0.088292, epoch loss=0.687833
Batch=599, step=16200, lr=0.132750, batch loss=0.180492, epoch loss=0.868325
Batch=659, step=16260, lr=0.132500, batch loss=0.101354, epoch loss=0.969679
Batch=719, step=16320, lr=0.132250, batch loss=0.116257, epoch loss=1.085936
Batch=779, step=16380, lr=0.132000, batch loss=0.263592, epoch loss=1.349528
Batch=839, step=16440, lr=0.131750, batch loss=0.090040, epoch loss=1.439568
Batch=899, step=16500, lr=0.131500, batch loss=0.075146, epoch loss=1.514714
Batch=959, step=16560, lr=0.131250, batch loss=0.032667, epoch loss=1.547380
Batch=1019, step=16620, lr=0.131000, batch loss=0.067888, epoch loss=1.615268
Batch=1079, step=16680, lr=0.130750, batch loss=0.046525, epoch loss=1.661793
Batch=1139, step=16740, lr=0.130500, batch loss=0.076713, epoch loss=1.738506
Batch=1199, step=16800, lr=0.130250, batch loss=0.033251, epoch loss=1.771757
Epoch=13, step=16800, lr=0.130250, epoch loss=1.771757
Batch=59, step=16860, lr=0.130000, batch loss=0.036902, epoch loss=0.036902
Batch=119, step=16920, lr=0.129750, batch loss=0.043145, epoch loss=0.080046
Batch=179, step=16980, lr=0.129500, batch loss=0.045177, epoch loss=0.125223
Batch=239, step=17040, lr=0.129250, batch loss=0.061689, epoch loss=0.186912
Batch=299, step=17100, lr=0.129000, batch loss=0.022526, epoch loss=0.209438
Batch=359, step=17160, lr=0.128750, batch loss=0.044086, epoch loss=0.253524
Batch=419, step=17220, lr=0.128500, batch loss=0.065186, epoch loss=0.318710
Batch=479, step=17280, lr=0.128250, batch loss=0.024044, epoch loss=0.342754
Batch=539, step=17340, lr=0.128000, batch loss=0.028477, epoch loss=0.371231
Batch=599, step=17400, lr=0.127750, batch loss=0.036063, epoch loss=0.407294
Batch=659, step=17460, lr=0.127500, batch loss=0.049806, epoch loss=0.457100
Batch=719, step=17520, lr=0.127250, batch loss=0.059118, epoch loss=0.516219
Batch=779, step=17580, lr=0.127000, batch loss=0.070052, epoch loss=0.586271
Batch=839, step=17640, lr=0.126750, batch loss=0.113321, epoch loss=0.699592
Batch=899, step=17700, lr=0.126500, batch loss=0.055557, epoch loss=0.755149
Batch=959, step=17760, lr=0.126250, batch loss=0.018066, epoch loss=0.773215
Batch=1019, step=17820, lr=0.126000, batch loss=0.027748, epoch loss=0.800963
Batch=1079, step=17880, lr=0.125750, batch loss=0.021551, epoch loss=0.822514
Batch=1139, step=17940, lr=0.125500, batch loss=0.046255, epoch loss=0.868769
Batch=1199, step=18000, lr=0.125250, batch loss=0.019262, epoch loss=0.888031
Epoch=14, step=18000, lr=0.125250, epoch loss=0.888031
Batch=59, step=18060, lr=0.125000, batch loss=0.011620, epoch loss=0.011620
Batch=119, step=18120, lr=0.124750, batch loss=0.021079, epoch loss=0.032699
Batch=179, step=18180, lr=0.124500, batch loss=0.030638, epoch loss=0.063337
Batch=239, step=18240, lr=0.124250, batch loss=0.034500, epoch loss=0.097837
Batch=299, step=18300, lr=0.124000, batch loss=0.009137, epoch loss=0.106974
Batch=359, step=18360, lr=0.123750, batch loss=0.023411, epoch loss=0.130385
Batch=419, step=18420, lr=0.123500, batch loss=0.028309, epoch loss=0.158695
Batch=479, step=18480, lr=0.123250, batch loss=0.023456, epoch loss=0.182151
Batch=539, step=18540, lr=0.123000, batch loss=0.048958, epoch loss=0.231109
Batch=599, step=18600, lr=0.122750, batch loss=0.025655, epoch loss=0.256764
Batch=659, step=18660, lr=0.122500, batch loss=0.034359, epoch loss=0.291123
Batch=719, step=18720, lr=0.122250, batch loss=0.036588, epoch loss=0.327711
Batch=779, step=18780, lr=0.122000, batch loss=0.091117, epoch loss=0.418827
Batch=839, step=18840, lr=0.121750, batch loss=0.069418, epoch loss=0.488245
Batch=899, step=18900, lr=0.121500, batch loss=0.094245, epoch loss=0.582491
Batch=959, step=18960, lr=0.121250, batch loss=0.018878, epoch loss=0.601369
Batch=1019, step=19020, lr=0.121000, batch loss=0.030409, epoch loss=0.631778
Batch=1079, step=19080, lr=0.120750, batch loss=0.004788, epoch loss=0.636566
Batch=1139, step=19140, lr=0.120500, batch loss=0.019454, epoch loss=0.656021
Batch=1199, step=19200, lr=0.120250, batch loss=0.011837, epoch loss=0.667858
Epoch=15, step=19200, lr=0.120250, epoch loss=0.667858
Batch=59, step=19260, lr=0.120000, batch loss=0.007428, epoch loss=0.007428
Batch=119, step=19320, lr=0.119750, batch loss=0.020765, epoch loss=0.028193
Batch=179, step=19380, lr=0.119500, batch loss=0.067129, epoch loss=0.095322
Batch=239, step=19440, lr=0.119250, batch loss=0.028499, epoch loss=0.123820
Batch=299, step=19500, lr=0.119000, batch loss=0.009104, epoch loss=0.132925
Batch=359, step=19560, lr=0.118750, batch loss=0.025184, epoch loss=0.158108
Batch=419, step=19620, lr=0.118500, batch loss=0.020648, epoch loss=0.178756
Batch=479, step=19680, lr=0.118250, batch loss=0.007039, epoch loss=0.185796
Batch=539, step=19740, lr=0.118000, batch loss=0.016412, epoch loss=0.202208
Batch=599, step=19800, lr=0.117750, batch loss=0.023127, epoch loss=0.225335
Batch=659, step=19860, lr=0.117500, batch loss=0.019946, epoch loss=0.245281
Batch=719, step=19920, lr=0.117250, batch loss=0.034089, epoch loss=0.279370
Batch=779, step=19980, lr=0.117000, batch loss=0.057557, epoch loss=0.336927
Batch=839, step=20040, lr=0.116750, batch loss=0.034586, epoch loss=0.371513
Batch=899, step=20100, lr=0.116500, batch loss=0.041035, epoch loss=0.412548
Batch=959, step=20160, lr=0.116250, batch loss=0.011893, epoch loss=0.424441
Batch=1019, step=20220, lr=0.116000, batch loss=0.016907, epoch loss=0.441347
Batch=1079, step=20280, lr=0.115750, batch loss=0.002379, epoch loss=0.443726
Batch=1139, step=20340, lr=0.115500, batch loss=0.014793, epoch loss=0.458519
Batch=1199, step=20400, lr=0.115250, batch loss=0.005496, epoch loss=0.464015
Epoch=16, step=20400, lr=0.115250, epoch loss=0.464015
Batch=59, step=20460, lr=0.115000, batch loss=0.002998, epoch loss=0.002998
Batch=119, step=20520, lr=0.114750, batch loss=0.010150, epoch loss=0.013148
Batch=179, step=20580, lr=0.114500, batch loss=0.026192, epoch loss=0.039341
Batch=239, step=20640, lr=0.114250, batch loss=0.014083, epoch loss=0.053423
Batch=299, step=20700, lr=0.114000, batch loss=0.004002, epoch loss=0.057425
Batch=359, step=20760, lr=0.113750, batch loss=0.013120, epoch loss=0.070545
Batch=419, step=20820, lr=0.113500, batch loss=0.015344, epoch loss=0.085889
Batch=479, step=20880, lr=0.113250, batch loss=0.004024, epoch loss=0.089913
Batch=539, step=20940, lr=0.113000, batch loss=0.016612, epoch loss=0.106526
Batch=599, step=21000, lr=0.112750, batch loss=0.017660, epoch loss=0.124186
Batch=659, step=21060, lr=0.112500, batch loss=0.013960, epoch loss=0.138146
Batch=719, step=21120, lr=0.112250, batch loss=0.029094, epoch loss=0.167240
Batch=779, step=21180, lr=0.112000, batch loss=0.044201, epoch loss=0.211441
Batch=839, step=21240, lr=0.111750, batch loss=0.028613, epoch loss=0.240054
Batch=899, step=21300, lr=0.111500, batch loss=0.033816, epoch loss=0.273870
Batch=959, step=21360, lr=0.111250, batch loss=0.010507, epoch loss=0.284378
Batch=1019, step=21420, lr=0.111000, batch loss=0.012725, epoch loss=0.297102
Batch=1079, step=21480, lr=0.110750, batch loss=0.002732, epoch loss=0.299834
Batch=1139, step=21540, lr=0.110500, batch loss=0.011986, epoch loss=0.311820
Batch=1199, step=21600, lr=0.110250, batch loss=0.005145, epoch loss=0.316965
Epoch=17, step=21600, lr=0.110250, epoch loss=0.316965
Batch=59, step=21660, lr=0.110000, batch loss=0.002555, epoch loss=0.002555
Batch=119, step=21720, lr=0.109750, batch loss=0.006852, epoch loss=0.009407
Batch=179, step=21780, lr=0.109500, batch loss=0.012510, epoch loss=0.021917
Batch=239, step=21840, lr=0.109250, batch loss=0.010097, epoch loss=0.032014
Batch=299, step=21900, lr=0.109000, batch loss=0.012388, epoch loss=0.044402
Batch=359, step=21960, lr=0.108750, batch loss=0.015147, epoch loss=0.059549
Batch=419, step=22020, lr=0.108500, batch loss=0.012514, epoch loss=0.072063
Batch=479, step=22080, lr=0.108250, batch loss=0.002762, epoch loss=0.074825
Batch=539, step=22140, lr=0.108000, batch loss=0.017643, epoch loss=0.092468
Batch=599, step=22200, lr=0.107750, batch loss=0.015741, epoch loss=0.108209
Batch=659, step=22260, lr=0.107500, batch loss=0.011567, epoch loss=0.119776
Batch=719, step=22320, lr=0.107250, batch loss=0.018154, epoch loss=0.137929
Batch=779, step=22380, lr=0.107000, batch loss=0.024387, epoch loss=0.162316
Batch=839, step=22440, lr=0.106750, batch loss=0.027222, epoch loss=0.189539
Batch=899, step=22500, lr=0.106500, batch loss=0.025109, epoch loss=0.214648
Batch=959, step=22560, lr=0.106250, batch loss=0.009564, epoch loss=0.224212
Batch=1019, step=22620, lr=0.106000, batch loss=0.009628, epoch loss=0.233840
Batch=1079, step=22680, lr=0.105750, batch loss=0.001657, epoch loss=0.235497
Batch=1139, step=22740, lr=0.105500, batch loss=0.011046, epoch loss=0.246543
Batch=1199, step=22800, lr=0.105250, batch loss=0.005063, epoch loss=0.251606
Epoch=18, step=22800, lr=0.105250, epoch loss=0.251606
Batch=59, step=22860, lr=0.105000, batch loss=0.002226, epoch loss=0.002226
Batch=119, step=22920, lr=0.104750, batch loss=0.005336, epoch loss=0.007561
Batch=179, step=22980, lr=0.104500, batch loss=0.011951, epoch loss=0.019513
Batch=239, step=23040, lr=0.104250, batch loss=0.008676, epoch loss=0.028189
Batch=299, step=23100, lr=0.104000, batch loss=0.001461, epoch loss=0.029650
Batch=359, step=23160, lr=0.103750, batch loss=0.011833, epoch loss=0.041483
Batch=419, step=23220, lr=0.103500, batch loss=0.010195, epoch loss=0.051678
Batch=479, step=23280, lr=0.103250, batch loss=0.004199, epoch loss=0.055877
Batch=539, step=23340, lr=0.103000, batch loss=0.014597, epoch loss=0.070474
Batch=599, step=23400, lr=0.102750, batch loss=0.014158, epoch loss=0.084632
Batch=659, step=23460, lr=0.102500, batch loss=0.012901, epoch loss=0.097533
Batch=719, step=23520, lr=0.102250, batch loss=0.016351, epoch loss=0.113884
Batch=779, step=23580, lr=0.102000, batch loss=0.021918, epoch loss=0.135802
Batch=839, step=23640, lr=0.101750, batch loss=0.025757, epoch loss=0.161559
Batch=899, step=23700, lr=0.101500, batch loss=0.021620, epoch loss=0.183179
Batch=959, step=23760, lr=0.101250, batch loss=0.008307, epoch loss=0.191486
Batch=1019, step=23820, lr=0.101000, batch loss=0.008180, epoch loss=0.199666
Batch=1079, step=23880, lr=0.100750, batch loss=0.001121, epoch loss=0.200787
Batch=1139, step=23940, lr=0.100500, batch loss=0.009059, epoch loss=0.209846
Batch=1199, step=24000, lr=0.100250, batch loss=0.004695, epoch loss=0.214541
Epoch=19, step=24000, lr=0.100250, epoch loss=0.214541


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############**************************************...│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##*************....*****************#*######*#*******************************........│
│*******##*##**##***********..........***************########*##***************************..........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######***********.........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│
│****#######**********..........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######**************............%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│
│#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-13 10:20.24: Cancelling: Timeout (60.0 minutes)
Job cancelled
2025-05-13 10:20.25: Timeout (60.0 minutes)