debian-12-5.3_ppc64_opam-2.3

2025-05-10 11:30.58: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (aad61e099968c6b4c76a69dc83e0e3a5aff97732) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard aad61e09
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
# debian-12-5.3_ppc64_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-effects.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.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-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.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 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


2025-05-10 11:30.58: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e-debian-12-5.3_ppc64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 11:30.58: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e)
(comment debian-12-5.3_ppc64_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-effects.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.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-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.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 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"))
)


2025-05-10 11:30.58: Waiting for resource in pool OCluster
2025-05-10 11:31.01: Waiting for worker…
2025-05-10 11:31.01: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
HEAD is now at e752ddbc Make Metal non-optional on macOS and test it on an M1 GPU
HEAD is now at aad61e09 Add static_properties to backend interfaces for device descriptions; try lang version 3.0


(from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e' locally
docker.io/ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e: Pulling from ocaml/opam
Digest: sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
Status: Downloaded newer image for ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
2025-05-10 11:31.02 ---> using "11564f06579ac1abfc4bc8dcbf5fe8e8e80256686f8892cdaae583cd9afa42b8" from cache


/: (comment debian-12-5.3_ppc64_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"))
2025-05-10 11:31.02 ---> using "7d9d83b5f12977bcf8066c022c05c5bd5be16362fd0a470da1495b1fd5537301" from cache


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


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


Continue? [y/n] y
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 11:31.02 ---> using "3356b2ee63007def5ceadc9915328f1eea8f5bf3d1e4e2f434bb4052fe0919a6" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 6.8.0-55-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 11:31.02 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 11:31.02 ---> using "8b1bba9974efdc8414b2b8b2a4fed5020d231764a7da89b3dfbeaf9ab99cfe97" 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
da74d7829f..e28c86445c  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)
2025-05-10 11:31.02 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 11:31.02 ---> using "c3214a12cf1826639d067304aacd30d73b8de151b1282360f1da7fa2ed1e48ea" 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)
2025-05-10 11:31.02 ---> using "f3f3fb88a117c8b7ba720d37d98d1372f9f03cd9320716f589323b99b0211134" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 11:31.02 ---> using "51a71a76c58cd4fdeb2cdc963520357cc0c76e3f16b22a8ddd92d6a2f9679c43" 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-effects.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.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-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.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 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 ppc64el Packages [247 kB]
- Fetched 350 kB in 0s (784 kB/s)
- Reading package lists...
- 


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[neural_nets_lib.dev] synchronised (file:///src)
[arrayjit.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev pkg-config


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:ppc64el.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
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(Reading database ... 20%
(Reading database ... 25%
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(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18720 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ...
- Unpacking libffi-dev:ppc64el (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:ppc64el.
- Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ...
- Unpacking libpkgconf3:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:ppc64el.
- Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkg-config:ppc64el.
- Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ...
- Unpacking pkg-config:ppc64el (1.8.1-1) ...
- Setting up libffi-dev:ppc64el (3.4.4-1) ...
- Setting up libpkgconf3:ppc64el (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:ppc64el (1.8.1-1) ...
- Setting up pkg-config:ppc64el (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-10 11:31.02 ---> using "9d56f6d76bd60164cac7b022b6b831ab9f5b6b453181e6465decd200f300b5f6" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 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 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             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install 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 angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (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 cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved 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 dune.3.18.2, dune-configurator.3.18.2  (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)
-> installed cmdliner.1.3.0
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed num.1.5-1
-> 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.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> 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 ppx_derivers.1.2.1
-> 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.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed angstrom.0.16.1
-> 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 ctypes-foreign.0.23.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed uucp.16.0.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed printbox-text.0.12
-> installed ppx_fields_conv.v0.17.0
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-05-10 11:31.02 ---> using "1f6aab0317fec32e0124c38211b4b29928c5d589090832a66c72117dfbfae512" from cache


/src: (copy (src .) (dst /src))
2025-05-10 11:31.06 ---> saved as "f0e30a921b75c5cb8f38886745c76a76fcfe11a0122686efeb2bc89a00f2e982"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(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/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/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/dbc2fb562639d6e75d986231683677ad/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/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 128))))
@!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=0.199500, batch loss=8.539633, epoch loss=32.149086
Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770209
Batch=239, step=240, lr=0.199000, batch loss=0.845226, epoch loss=35.615434
Batch=299, step=300, lr=0.198750, batch loss=1.456835, epoch loss=37.072269
Batch=359, step=360, lr=0.198750, batch loss=1.325217, epoch loss=38.397486
Batch=419, step=420, lr=0.198500, batch loss=0.622963, epoch loss=39.020449
Batch=479, step=480, lr=0.198000, batch loss=0.815949, epoch loss=39.836398
Batch=539, step=540, lr=0.197750, batch loss=0.700055, epoch loss=40.536454
Batch=599, step=600, lr=0.197500, batch loss=1.070567, epoch loss=41.607021
Batch=659, step=660, lr=0.197250, batch loss=0.483208, epoch loss=42.090229
Batch=719, step=720, lr=0.197250, batch loss=0.411598, epoch loss=42.501827
Batch=779, step=780, lr=0.196750, batch loss=0.469804, epoch loss=42.971631
Batch=839, step=840, lr=0.196500, batch loss=0.444775, epoch loss=43.416406
Batch=899, step=900, lr=0.196500, batch loss=0.383213, epoch loss=43.799619
Batch=959, step=960, lr=0.196250, batch loss=0.240725, epoch loss=44.040344
Batch=1019, step=1020, lr=0.195750, batch loss=0.438821, epoch loss=44.479165
Batch=1079, step=1080, lr=0.195500, batch loss=0.226479, epoch loss=44.705644
Batch=1139, step=1140, lr=0.195500, batch loss=0.314813, epoch loss=45.020458
Batch=1199, step=1200, lr=0.195250, batch loss=0.262655, epoch loss=45.283113
Epoch=0, step=1200, lr=0.195250, epoch loss=45.283113
Batch=59, step=1260, lr=0.194750, batch loss=0.262184, epoch loss=0.262184
Batch=119, step=1320, lr=0.194500, batch loss=0.210689, epoch loss=0.472873
Batch=179, step=1380, lr=0.194250, batch loss=0.244002, epoch loss=0.716874
Batch=239, step=1440, lr=0.194000, batch loss=0.350312, epoch loss=1.067186
Batch=299, step=1500, lr=0.193750, batch loss=0.239297, epoch loss=1.306483
Batch=359, step=1560, lr=0.193500, batch loss=0.312938, epoch loss=1.619420
Batch=419, step=1620, lr=0.193250, batch loss=0.307252, epoch loss=1.926673
Batch=479, step=1680, lr=0.193000, batch loss=0.272863, epoch loss=2.199536
Batch=539, step=1740, lr=0.193000, batch loss=0.210633, epoch loss=2.410169
Batch=599, step=1800, lr=0.192500, batch loss=0.249214, epoch loss=2.659383
Batch=659, step=1860, lr=0.192250, batch loss=0.368262, epoch loss=3.027645
Batch=719, step=1920, lr=0.192250, batch loss=0.362673, epoch loss=3.390318
Batch=779, step=1980, lr=0.191750, batch loss=0.380305, epoch loss=3.770623
Batch=839, step=2040, lr=0.191500, batch loss=0.343418, epoch loss=4.114041
Batch=899, step=2100, lr=0.191250, batch loss=0.315106, epoch loss=4.429147
Batch=959, step=2160, lr=0.191000, batch loss=0.241216, epoch loss=4.670362
Batch=1019, step=2220, lr=0.191000, batch loss=0.359359, epoch loss=5.029721
Batch=1079, step=2280, lr=0.190500, batch loss=0.235795, epoch loss=5.265516
Batch=1139, step=2340, lr=0.190500, batch loss=0.286263, epoch loss=5.551780
Batch=1199, step=2400, lr=0.190000, batch loss=0.217583, epoch loss=5.769362
Epoch=1, step=2400, lr=0.190000, epoch loss=5.769362
Batch=59, step=2460, lr=0.189750, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=2520, lr=0.189750, batch loss=0.186360, epoch loss=0.416085
Batch=179, step=2580, lr=0.189500, batch loss=0.221798, epoch loss=0.637883
Batch=239, step=2640, lr=0.189000, batch loss=0.338599, epoch loss=0.976482
Batch=299, step=2700, lr=0.188750, batch loss=0.218175, epoch loss=1.194657
Batch=359, step=2760, lr=0.188750, batch loss=0.296480, epoch loss=1.491137
Batch=419, step=2820, lr=0.188250, batch loss=0.288844, epoch loss=1.779981
Batch=479, step=2880, lr=0.188000, batch loss=0.261358, epoch loss=2.041340
Batch=539, step=2940, lr=0.187750, batch loss=0.197032, epoch loss=2.238371
Batch=599, step=3000, lr=0.187500, batch loss=0.238748, epoch loss=2.477120
Batch=659, step=3060, lr=0.187250, batch loss=0.341201, epoch loss=2.818320
Batch=719, step=3120, lr=0.187000, batch loss=0.337947, epoch loss=3.156267
Batch=779, step=3180, lr=0.186750, batch loss=0.359640, epoch loss=3.515907
Batch=839, step=3240, lr=0.186500, batch loss=0.329449, epoch loss=3.845356
Batch=899, step=3300, lr=0.186250, batch loss=0.299800, epoch loss=4.145155
Batch=959, step=3360, lr=0.186250, batch loss=0.237097, epoch loss=4.382252
Batch=1019, step=3420, lr=0.186000, batch loss=0.355674, epoch loss=4.737927
Batch=1079, step=3480, lr=0.185500, batch loss=0.223544, epoch loss=4.961471
Batch=1139, step=3540, lr=0.185500, batch loss=0.260217, epoch loss=5.221688
Batch=1199, step=3600, lr=0.185250, batch loss=0.200286, epoch loss=5.421974
Epoch=2, step=3600, lr=0.185250, epoch loss=5.421974
Batch=59, step=3660, lr=0.184750, batch loss=0.228269, epoch loss=0.228269
Batch=119, step=3720, lr=0.184500, batch loss=0.194470, epoch loss=0.422739
Batch=179, step=3780, lr=0.184250, batch loss=0.214563, epoch loss=0.637302
Batch=239, step=3840, lr=0.184250, batch loss=0.316924, epoch loss=0.954226
Batch=299, step=3900, lr=0.184000, batch loss=0.206032, epoch loss=1.160258
Batch=359, step=3960, lr=0.183500, batch loss=0.287506, epoch loss=1.447764
Batch=419, step=4020, lr=0.183500, batch loss=0.277180, epoch loss=1.724944
Batch=479, step=4080, lr=0.183000, batch loss=0.257346, epoch loss=1.982290
Batch=539, step=4140, lr=0.182750, batch loss=0.196357, epoch loss=2.178647
Batch=599, step=4200, lr=0.182750, batch loss=0.235787, epoch loss=2.414433
Batch=659, step=4260, lr=0.182250, batch loss=0.332922, epoch loss=2.747355
Batch=719, step=4320, lr=0.182250, batch loss=0.328375, epoch loss=3.075730
Batch=779, step=4380, lr=0.182000, batch loss=0.349125, epoch loss=3.424855
Batch=839, step=4440, lr=0.181500, batch loss=0.318612, epoch loss=3.743467
Batch=899, step=4500, lr=0.181500, batch loss=0.294646, epoch loss=4.038113
Batch=959, step=4560, lr=0.181250, batch loss=0.240185, epoch loss=4.278298
Batch=1019, step=4620, lr=0.180750, batch loss=0.341870, epoch loss=4.620168
Batch=1079, step=4680, lr=0.180500, batch loss=0.194025, epoch loss=4.814193
Batch=1139, step=4740, lr=0.180500, batch loss=0.227548, epoch loss=5.041741
Batch=1199, step=4800, lr=0.180000, batch loss=0.193251, epoch loss=5.234992
Epoch=3, step=4800, lr=0.180000, epoch loss=5.234992
Batch=59, step=4860, lr=0.180000, batch loss=0.235585, epoch loss=0.235585
Batch=119, step=4920, lr=0.179750, batch loss=0.192700, epoch loss=0.428286
Batch=179, step=4980, lr=0.179250, batch loss=0.207434, epoch loss=0.635720
Batch=239, step=5040, lr=0.179000, batch loss=0.309811, epoch loss=0.945531
Batch=299, step=5100, lr=0.178750, batch loss=0.205102, epoch loss=1.150633
Batch=359, step=5160, lr=0.178750, batch loss=0.271748, epoch loss=1.422380
Batch=419, step=5220, lr=0.178250, batch loss=0.265869, epoch loss=1.688249
Batch=479, step=5280, lr=0.178000, batch loss=0.240414, epoch loss=1.928663
Batch=539, step=5340, lr=0.178000, batch loss=0.190760, epoch loss=2.119423
Batch=599, step=5400, lr=0.177500, batch loss=0.230161, epoch loss=2.349584
Batch=659, step=5460, lr=0.177250, batch loss=0.325481, epoch loss=2.675065
Batch=719, step=5520, lr=0.177250, batch loss=0.326013, epoch loss=3.001078
Batch=779, step=5580, lr=0.176750, batch loss=0.340014, epoch loss=3.341092
Batch=839, step=5640, lr=0.176500, batch loss=0.314114, epoch loss=3.655206
Batch=899, step=5700, lr=0.176500, batch loss=0.279443, epoch loss=3.934650
Batch=959, step=5760, lr=0.176250, batch loss=0.217328, epoch loss=4.151977
Batch=1019, step=5820, lr=0.176000, batch loss=0.331822, epoch loss=4.483799
Batch=1079, step=5880, lr=0.175750, batch loss=0.181991, epoch loss=4.665790
Batch=1139, step=5940, lr=0.175250, batch loss=0.218184, epoch loss=4.883974
Batch=1199, step=6000, lr=0.175250, batch loss=0.201179, epoch loss=5.085153
Epoch=4, step=6000, lr=0.175250, epoch loss=5.085153
Batch=59, step=6060, lr=0.174750, batch loss=0.241783, epoch loss=0.241783
Batch=119, step=6120, lr=0.174500, batch loss=0.186987, epoch loss=0.428770
Batch=179, step=6180, lr=0.174500, batch loss=0.200574, epoch loss=0.629344
Batch=239, step=6240, lr=0.174000, batch loss=0.301083, epoch loss=0.930427
Batch=299, step=6300, lr=0.173750, batch loss=0.213136, epoch loss=1.143563
Batch=359, step=6360, lr=0.173500, batch loss=0.272632, epoch loss=1.416194
Batch=419, step=6420, lr=0.173250, batch loss=0.263482, epoch loss=1.679676
Batch=479, step=6480, lr=0.173000, batch loss=0.240762, epoch loss=1.920438
Batch=539, step=6540, lr=0.173000, batch loss=0.190599, epoch loss=2.111037
Batch=599, step=6600, lr=0.172500, batch loss=0.224035, epoch loss=2.335072
Batch=659, step=6660, lr=0.172250, batch loss=0.317625, epoch loss=2.652698
Batch=719, step=6720, lr=0.172250, batch loss=0.318012, epoch loss=2.970710
Batch=779, step=6780, lr=0.171750, batch loss=0.332578, epoch loss=3.303288
Batch=839, step=6840, lr=0.171500, batch loss=0.306614, epoch loss=3.609902
Batch=899, step=6900, lr=0.171250, batch loss=0.264942, epoch loss=3.874843
Batch=959, step=6960, lr=0.171250, batch loss=0.214673, epoch loss=4.089517
Batch=1019, step=7020, lr=0.171000, batch loss=0.321219, epoch loss=4.410736
Batch=1079, step=7080, lr=0.170750, batch loss=0.178043, epoch loss=4.588778
Batch=1139, step=7140, lr=0.170250, batch loss=0.214950, epoch loss=4.803728
Batch=1199, step=7200, lr=0.170250, batch loss=0.184304, epoch loss=4.988032
Epoch=5, step=7200, lr=0.170250, epoch loss=4.988032
Batch=59, step=7260, lr=0.169750, batch loss=0.238093, epoch loss=0.238093
Batch=119, step=7320, lr=0.169500, batch loss=0.181360, epoch loss=0.419453
Batch=179, step=7380, lr=0.169250, batch loss=0.195625, epoch loss=0.615079
Batch=239, step=7440, lr=0.169250, batch loss=0.291834, epoch loss=0.906912
Batch=299, step=7500, lr=0.168750, batch loss=0.209436, epoch loss=1.116349
Batch=359, step=7560, lr=0.168750, batch loss=0.263822, epoch loss=1.380171
Batch=419, step=7620, lr=0.168500, batch loss=0.257110, epoch loss=1.637281
Batch=479, step=7680, lr=0.168000, batch loss=0.239035, epoch loss=1.876316
Batch=539, step=7740, lr=0.167750, batch loss=0.187438, epoch loss=2.063754
Batch=599, step=7800, lr=0.167500, batch loss=0.224742, epoch loss=2.288496
Batch=659, step=7860, lr=0.167500, batch loss=0.305476, epoch loss=2.593972
Batch=719, step=7920, lr=0.167000, batch loss=0.308806, epoch loss=2.902777
Batch=779, step=7980, lr=0.167000, batch loss=0.321707, epoch loss=3.224484
Batch=839, step=8040, lr=0.166500, batch loss=0.297876, epoch loss=3.522360
Batch=899, step=8100, lr=0.166250, batch loss=0.258985, epoch loss=3.781345
Batch=959, step=8160, lr=0.166000, batch loss=0.209780, epoch loss=3.991125
Batch=1019, step=8220, lr=0.165750, batch loss=0.314738, epoch loss=4.305863
Batch=1079, step=8280, lr=0.165500, batch loss=0.171372, epoch loss=4.477235
Batch=1139, step=8340, lr=0.165500, batch loss=0.207679, epoch loss=4.684914
Batch=1199, step=8400, lr=0.165000, batch loss=0.178913, epoch loss=4.863827
Epoch=6, step=8400, lr=0.165000, epoch loss=4.863827
Batch=59, step=8460, lr=0.165000, batch loss=0.230136, epoch loss=0.230136
Batch=119, step=8520, lr=0.164750, batch loss=0.175253, epoch loss=0.405389
Batch=179, step=8580, lr=0.164250, batch loss=0.188187, epoch loss=0.593575
Batch=239, step=8640, lr=0.164250, batch loss=0.278415, epoch loss=0.871991
Batch=299, step=8700, lr=0.164000, batch loss=0.192016, epoch loss=1.064007
Batch=359, step=8760, lr=0.163750, batch loss=0.250408, epoch loss=1.314415
Batch=419, step=8820, lr=0.163250, batch loss=0.246010, epoch loss=1.560425
Batch=479, step=8880, lr=0.163000, batch loss=0.230413, epoch loss=1.790838
Batch=539, step=8940, lr=0.162750, batch loss=0.179027, epoch loss=1.969865
Batch=599, step=9000, lr=0.162750, batch loss=0.219824, epoch loss=2.189690
Batch=659, step=9060, lr=0.162500, batch loss=0.294324, epoch loss=2.484013
Batch=719, step=9120, lr=0.162250, batch loss=0.295549, epoch loss=2.779563
Batch=779, step=9180, lr=0.161750, batch loss=0.316015, epoch loss=3.095577
Batch=839, step=9240, lr=0.161500, batch loss=0.282068, epoch loss=3.377646
Batch=899, step=9300, lr=0.161250, batch loss=0.254344, epoch loss=3.631990
Batch=959, step=9360, lr=0.161250, batch loss=0.185348, epoch loss=3.817338
Batch=1019, step=9420, lr=0.161000, batch loss=0.320560, epoch loss=4.137898
Batch=1079, step=9480, lr=0.160500, batch loss=0.196405, epoch loss=4.334303
Batch=1139, step=9540, lr=0.160250, batch loss=0.213466, epoch loss=4.547769
Batch=1199, step=9600, lr=0.160000, batch loss=0.168570, epoch loss=4.716339
Epoch=7, step=9600, lr=0.160000, epoch loss=4.716339
Batch=59, step=9660, lr=0.159750, batch loss=0.199967, epoch loss=0.199967
Batch=119, step=9720, lr=0.159500, batch loss=0.165147, epoch loss=0.365113
Batch=179, step=9780, lr=0.159250, batch loss=0.179629, epoch loss=0.544743
Batch=239, step=9840, lr=0.159000, batch loss=0.263813, epoch loss=0.808556
Batch=299, step=9900, lr=0.159000, batch loss=0.184933, epoch loss=0.993488
Batch=359, step=9960, lr=0.158500, batch loss=0.243815, epoch loss=1.237303
Batch=419, step=10020, lr=0.158250, batch loss=0.234883, epoch loss=1.472186
Batch=479, step=10080, lr=0.158250, batch loss=0.215416, epoch loss=1.687602
Batch=539, step=10140, lr=0.157750, batch loss=0.172804, epoch loss=1.860406
Batch=599, step=10200, lr=0.157500, batch loss=0.203537, epoch loss=2.063943
Batch=659, step=10260, lr=0.157250, batch loss=0.282950, epoch loss=2.346892
Batch=719, step=10320, lr=0.157250, batch loss=0.286731, epoch loss=2.633624
Batch=779, step=10380, lr=0.156750, batch loss=0.296982, epoch loss=2.930606
Batch=839, step=10440, lr=0.156500, batch loss=0.268348, epoch loss=3.198954
Batch=899, step=10500, lr=0.156250, batch loss=0.238390, epoch loss=3.437344
Batch=959, step=10560, lr=0.156000, batch loss=0.180357, epoch loss=3.617701
Batch=1019, step=10620, lr=0.155750, batch loss=0.298738, epoch loss=3.916438
Batch=1079, step=10680, lr=0.155500, batch loss=0.176314, epoch loss=4.092752
Batch=1139, step=10740, lr=0.155250, batch loss=0.200439, epoch loss=4.293191
Batch=1199, step=10800, lr=0.155250, batch loss=0.157081, epoch loss=4.450273
Epoch=8, step=10800, lr=0.155250, epoch loss=4.450273
Batch=59, step=10860, lr=0.155000, batch loss=0.179782, epoch loss=0.179782
Batch=119, step=10920, lr=0.154750, batch loss=0.153361, epoch loss=0.333143
Batch=179, step=10980, lr=0.154250, batch loss=0.169357, epoch loss=0.502500
Batch=239, step=11040, lr=0.154250, batch loss=0.253244, epoch loss=0.755744
Batch=299, step=11100, lr=0.154000, batch loss=0.163887, epoch loss=0.919631
Batch=359, step=11160, lr=0.153500, batch loss=0.226110, epoch loss=1.145741
Batch=419, step=11220, lr=0.153500, batch loss=0.227692, epoch loss=1.373433
Batch=479, step=11280, lr=0.153250, batch loss=0.207592, epoch loss=1.581025
Batch=539, step=11340, lr=0.153000, batch loss=0.159282, epoch loss=1.740307
Batch=599, step=11400, lr=0.152750, batch loss=0.189935, epoch loss=1.930243
Batch=659, step=11460, lr=0.152250, batch loss=0.264552, epoch loss=2.194795
Batch=719, step=11520, lr=0.152000, batch loss=0.258284, epoch loss=2.453078
Batch=779, step=11580, lr=0.151750, batch loss=0.271730, epoch loss=2.724809
Batch=839, step=11640, lr=0.151750, batch loss=0.253422, epoch loss=2.978230
Batch=899, step=11700, lr=0.151250, batch loss=0.219436, epoch loss=3.197666
Batch=959, step=11760, lr=0.151000, batch loss=0.163749, epoch loss=3.361415
Batch=1019, step=11820, lr=0.150750, batch loss=0.275691, epoch loss=3.637106
Batch=1079, step=11880, lr=0.150500, batch loss=0.149942, epoch loss=3.787047
Batch=1139, step=11940, lr=0.150500, batch loss=0.180902, epoch loss=3.967950
Batch=1199, step=12000, lr=0.150000, batch loss=0.142084, epoch loss=4.110034
Epoch=9, step=12000, lr=0.150000, epoch loss=4.110034
Batch=59, step=12060, lr=0.149750, batch loss=0.162916, epoch loss=0.162916
Batch=119, step=12120, lr=0.149500, batch loss=0.139193, epoch loss=0.302109
Batch=179, step=12180, lr=0.149250, batch loss=0.153515, epoch loss=0.455624
Batch=239, step=12240, lr=0.149250, batch loss=0.222672, epoch loss=0.678296
Batch=299, step=12300, lr=0.149000, batch loss=0.146352, epoch loss=0.824648
Batch=359, step=12360, lr=0.148500, batch loss=0.200205, epoch loss=1.024853
Batch=419, step=12420, lr=0.148250, batch loss=0.209601, epoch loss=1.234454
Batch=479, step=12480, lr=0.148250, batch loss=0.181535, epoch loss=1.415989
Batch=539, step=12540, lr=0.147750, batch loss=0.145267, epoch loss=1.561255
Batch=599, step=12600, lr=0.147500, batch loss=0.152092, epoch loss=1.713347
Batch=659, step=12660, lr=0.147250, batch loss=0.230768, epoch loss=1.944115
Batch=719, step=12720, lr=0.147250, batch loss=0.242909, epoch loss=2.187024
Batch=779, step=12780, lr=0.146750, batch loss=0.266810, epoch loss=2.453834
Batch=839, step=12840, lr=0.146750, batch loss=0.238950, epoch loss=2.692784
Batch=899, step=12900, lr=0.146250, batch loss=0.207476, epoch loss=2.900260
Batch=959, step=12960, lr=0.146000, batch loss=0.148630, epoch loss=3.048890
Batch=1019, step=13020, lr=0.146000, batch loss=0.246147, epoch loss=3.295038
Batch=1079, step=13080, lr=0.145500, batch loss=0.111866, epoch loss=3.406904
Batch=1139, step=13140, lr=0.145250, batch loss=0.150232, epoch loss=3.557136
Batch=1199, step=13200, lr=0.145000, batch loss=0.122142, epoch loss=3.679278
Epoch=10, step=13200, lr=0.145000, epoch loss=3.679278
Batch=59, step=13260, lr=0.144750, batch loss=0.146822, epoch loss=0.146822
Batch=119, step=13320, lr=0.144500, batch loss=0.122787, epoch loss=0.269610
Batch=179, step=13380, lr=0.144250, batch loss=0.130815, epoch loss=0.400425
Batch=239, step=13440, lr=0.144000, batch loss=0.192572, epoch loss=0.592997
Batch=299, step=13500, lr=0.143750, batch loss=0.117725, epoch loss=0.710722
Batch=359, step=13560, lr=0.143500, batch loss=0.165450, epoch loss=0.876173
Batch=419, step=13620, lr=0.143500, batch loss=0.164945, epoch loss=1.041118
Batch=479, step=13680, lr=0.143250, batch loss=0.150675, epoch loss=1.191793
Batch=539, step=13740, lr=0.142750, batch loss=0.122655, epoch loss=1.314448
Batch=599, step=13800, lr=0.142500, batch loss=0.125042, epoch loss=1.439489
Batch=659, step=13860, lr=0.142250, batch loss=0.181875, epoch loss=1.621365
Batch=719, step=13920, lr=0.142250, batch loss=0.178241, epoch loss=1.799606
Batch=779, step=13980, lr=0.142000, batch loss=0.195348, epoch loss=1.994954
Batch=839, step=14040, lr=0.141750, batch loss=0.198128, epoch loss=2.193082
Batch=899, step=14100, lr=0.141500, batch loss=0.213238, epoch loss=2.406320
Batch=959, step=14160, lr=0.141250, batch loss=0.113263, epoch loss=2.519583
Batch=1019, step=14220, lr=0.141000, batch loss=0.204051, epoch loss=2.723634
Batch=1079, step=14280, lr=0.140750, batch loss=0.083864, epoch loss=2.807498
Batch=1139, step=14340, lr=0.140500, batch loss=0.132575, epoch loss=2.940073
Batch=1199, step=14400, lr=0.140000, batch loss=0.092020, epoch loss=3.032093
Epoch=11, step=14400, lr=0.140000, epoch loss=3.032093
Batch=59, step=14460, lr=0.140000, batch loss=0.110270, epoch loss=0.110270
Batch=119, step=14520, lr=0.139750, batch loss=0.103389, epoch loss=0.213659
Batch=179, step=14580, lr=0.139500, batch loss=0.102325, epoch loss=0.315983
Batch=239, step=14640, lr=0.139000, batch loss=0.152050, epoch loss=0.468033
Batch=299, step=14700, lr=0.139000, batch loss=0.119908, epoch loss=0.587941
Batch=359, step=14760, lr=0.138500, batch loss=0.136272, epoch loss=0.724213
Batch=419, step=14820, lr=0.138500, batch loss=0.150344, epoch loss=0.874557
Batch=479, step=14880, lr=0.138250, batch loss=0.100029, epoch loss=0.974586
Batch=539, step=14940, lr=0.137750, batch loss=0.092419, epoch loss=1.067005
Batch=599, step=15000, lr=0.137500, batch loss=0.088744, epoch loss=1.155749
Batch=659, step=15060, lr=0.137500, batch loss=0.133727, epoch loss=1.289476
Batch=719, step=15120, lr=0.137250, batch loss=0.128209, epoch loss=1.417685
Batch=779, step=15180, lr=0.136750, batch loss=0.139275, epoch loss=1.556960
Batch=839, step=15240, lr=0.136750, batch loss=0.148217, epoch loss=1.705177
Batch=899, step=15300, lr=0.136500, batch loss=0.150622, epoch loss=1.855799
Batch=959, step=15360, lr=0.136250, batch loss=0.125544, epoch loss=1.981344
Batch=1019, step=15420, lr=0.136000, batch loss=0.398810, epoch loss=2.380154
Batch=1079, step=15480, lr=0.135500, batch loss=0.041991, epoch loss=2.422145
Batch=1139, step=15540, lr=0.135250, batch loss=0.084653, epoch loss=2.506797
Batch=1199, step=15600, lr=0.135000, batch loss=0.073683, epoch loss=2.580480
Epoch=12, step=15600, lr=0.135000, epoch loss=2.580480
Batch=59, step=15660, lr=0.135000, batch loss=0.074496, epoch loss=0.074496
Batch=119, step=15720, lr=0.134500, batch loss=0.081201, epoch loss=0.155697
Batch=179, step=15780, lr=0.134500, batch loss=0.081151, epoch loss=0.236848
Batch=239, step=15840, lr=0.134250, batch loss=0.104300, epoch loss=0.341148
Batch=299, step=15900, lr=0.134000, batch loss=0.067939, epoch loss=0.409087
Batch=359, step=15960, lr=0.133500, batch loss=0.094345, epoch loss=0.503433
Batch=419, step=16020, lr=0.133500, batch loss=0.116784, epoch loss=0.620216
Batch=479, step=16080, lr=0.133000, batch loss=0.053003, epoch loss=0.673220
Batch=539, step=16140, lr=0.133000, batch loss=0.051649, epoch loss=0.724868
Batch=599, step=16200, lr=0.132750, batch loss=0.058545, epoch loss=0.783413
Batch=659, step=16260, lr=0.132500, batch loss=0.100467, epoch loss=0.883880
Batch=719, step=16320, lr=0.132000, batch loss=0.130500, epoch loss=1.014380
Batch=779, step=16380, lr=0.131750, batch loss=0.340295, epoch loss=1.354675
Batch=839, step=16440, lr=0.131750, batch loss=0.100132, epoch loss=1.454807
Batch=899, step=16500, lr=0.131500, batch loss=0.098764, epoch loss=1.553571
Batch=959, step=16560, lr=0.131000, batch loss=0.047638, epoch loss=1.601209
Batch=1019, step=16620, lr=0.131000, batch loss=0.065289, epoch loss=1.666499
Batch=1079, step=16680, lr=0.130750, batch loss=0.063944, epoch loss=1.730443
Batch=1139, step=16740, lr=0.130500, batch loss=0.105669, epoch loss=1.836112
Batch=1199, step=16800, lr=0.130000, batch loss=0.056730, epoch loss=1.892841
Epoch=13, step=16800, lr=0.130000, epoch loss=1.892841
Batch=59, step=16860, lr=0.129750, batch loss=0.039410, epoch loss=0.039410
Batch=119, step=16920, lr=0.129500, batch loss=0.039443, epoch loss=0.078853
Batch=179, step=16980, lr=0.129250, batch loss=0.047847, epoch loss=0.126700
Batch=239, step=17040, lr=0.129250, batch loss=0.066418, epoch loss=0.193118
Batch=299, step=17100, lr=0.129000, batch loss=0.022510, epoch loss=0.215628
Batch=359, step=17160, lr=0.128500, batch loss=0.046752, epoch loss=0.262380
Batch=419, step=17220, lr=0.128250, batch loss=0.058483, epoch loss=0.320863
Batch=479, step=17280, lr=0.128000, batch loss=0.035700, epoch loss=0.356563
Batch=539, step=17340, lr=0.127750, batch loss=0.063641, epoch loss=0.420204
Batch=599, step=17400, lr=0.127750, batch loss=0.039520, epoch loss=0.459724
Batch=659, step=17460, lr=0.127500, batch loss=0.053124, epoch loss=0.512848
Batch=719, step=17520, lr=0.127000, batch loss=0.044597, epoch loss=0.557444
Batch=779, step=17580, lr=0.126750, batch loss=0.055396, epoch loss=0.612841
Batch=839, step=17640, lr=0.126750, batch loss=0.094911, epoch loss=0.707752
Batch=899, step=17700, lr=0.126250, batch loss=0.124805, epoch loss=0.832557
Batch=959, step=17760, lr=0.126250, batch loss=0.037363, epoch loss=0.869920
Batch=1019, step=17820, lr=0.125750, batch loss=0.083064, epoch loss=0.952983
Batch=1079, step=17880, lr=0.125750, batch loss=0.019520, epoch loss=0.972503
Batch=1139, step=17940, lr=0.125250, batch loss=0.038645, epoch loss=1.011148
Batch=1199, step=18000, lr=0.125000, batch loss=0.019212, epoch loss=1.030360
Epoch=14, step=18000, lr=0.125000, epoch loss=1.030360
Batch=59, step=18060, lr=0.124750, batch loss=0.016100, epoch loss=0.016100
Batch=119, step=18120, lr=0.124500, batch loss=0.023311, epoch loss=0.039411
Batch=179, step=18180, lr=0.124500, batch loss=0.030783, epoch loss=0.070194
Batch=239, step=18240, lr=0.124250, batch loss=0.039563, epoch loss=0.109757
Batch=299, step=18300, lr=0.124000, batch loss=0.015555, epoch loss=0.125312
Batch=359, step=18360, lr=0.123500, batch loss=0.027365, epoch loss=0.152677
Batch=419, step=18420, lr=0.123500, batch loss=0.033709, epoch loss=0.186386
Batch=479, step=18480, lr=0.123250, batch loss=0.020006, epoch loss=0.206392
Batch=539, step=18540, lr=0.123000, batch loss=0.040975, epoch loss=0.247367
Batch=599, step=18600, lr=0.122500, batch loss=0.027048, epoch loss=0.274415
Batch=659, step=18660, lr=0.122250, batch loss=0.035032, epoch loss=0.309448
Batch=719, step=18720, lr=0.122250, batch loss=0.046601, epoch loss=0.356048
Batch=779, step=18780, lr=0.121750, batch loss=0.119878, epoch loss=0.475926
Batch=839, step=18840, lr=0.121500, batch loss=0.057420, epoch loss=0.533346
Batch=899, step=18900, lr=0.121250, batch loss=0.055779, epoch loss=0.589125
Batch=959, step=18960, lr=0.121000, batch loss=0.015227, epoch loss=0.604352
Batch=1019, step=19020, lr=0.121000, batch loss=0.023360, epoch loss=0.627712
Batch=1079, step=19080, lr=0.120750, batch loss=0.009707, epoch loss=0.637419
Batch=1139, step=19140, lr=0.120500, batch loss=0.024722, epoch loss=0.662140
Batch=1199, step=19200, lr=0.120000, batch loss=0.009847, epoch loss=0.671988
Epoch=15, step=19200, lr=0.120000, epoch loss=0.671988
Batch=59, step=19260, lr=0.120000, batch loss=0.004701, epoch loss=0.004701
Batch=119, step=19320, lr=0.119750, batch loss=0.023083, epoch loss=0.027785
Batch=179, step=19380, lr=0.119250, batch loss=0.069453, epoch loss=0.097237
Batch=239, step=19440, lr=0.119250, batch loss=0.029258, epoch loss=0.126495
Batch=299, step=19500, lr=0.118750, batch loss=0.010418, epoch loss=0.136913
Batch=359, step=19560, lr=0.118500, batch loss=0.026837, epoch loss=0.163751
Batch=419, step=19620, lr=0.118250, batch loss=0.023007, epoch loss=0.186758
Batch=479, step=19680, lr=0.118250, batch loss=0.012268, epoch loss=0.199026
Batch=539, step=19740, lr=0.117750, batch loss=0.019846, epoch loss=0.218872
Batch=599, step=19800, lr=0.117750, batch loss=0.021513, epoch loss=0.240385
Batch=659, step=19860, lr=0.117250, batch loss=0.021683, epoch loss=0.262067
Batch=719, step=19920, lr=0.117000, batch loss=0.025106, epoch loss=0.287173
Batch=779, step=19980, lr=0.116750, batch loss=0.058392, epoch loss=0.345565
Batch=839, step=20040, lr=0.116750, batch loss=0.034737, epoch loss=0.380303
Batch=899, step=20100, lr=0.116500, batch loss=0.044460, epoch loss=0.424763
Batch=959, step=20160, lr=0.116000, batch loss=0.011776, epoch loss=0.436538
Batch=1019, step=20220, lr=0.115750, batch loss=0.014193, epoch loss=0.450731
Batch=1079, step=20280, lr=0.115500, batch loss=0.003599, epoch loss=0.454330
Batch=1139, step=20340, lr=0.115500, batch loss=0.015737, epoch loss=0.470067
Batch=1199, step=20400, lr=0.115000, batch loss=0.006462, epoch loss=0.476530
Epoch=16, step=20400, lr=0.115000, epoch loss=0.476530
Batch=59, step=20460, lr=0.114750, batch loss=0.003385, epoch loss=0.003385
Batch=119, step=20520, lr=0.114500, batch loss=0.010431, epoch loss=0.013816
Batch=179, step=20580, lr=0.114250, batch loss=0.026922, epoch loss=0.040738
Batch=239, step=20640, lr=0.114250, batch loss=0.015171, epoch loss=0.055909
Batch=299, step=20700, lr=0.114000, batch loss=0.003719, epoch loss=0.059629
Batch=359, step=20760, lr=0.113750, batch loss=0.013810, epoch loss=0.073438
Batch=419, step=20820, lr=0.113250, batch loss=0.016712, epoch loss=0.090150
Batch=479, step=20880, lr=0.113000, batch loss=0.006600, epoch loss=0.096750
Batch=539, step=20940, lr=0.112750, batch loss=0.015803, epoch loss=0.112553
Batch=599, step=21000, lr=0.112750, batch loss=0.020024, epoch loss=0.132577
Batch=659, step=21060, lr=0.112500, batch loss=0.014946, epoch loss=0.147523
Batch=719, step=21120, lr=0.112000, batch loss=0.036895, epoch loss=0.184418
Batch=779, step=21180, lr=0.112000, batch loss=0.075200, epoch loss=0.259618
Batch=839, step=21240, lr=0.111750, batch loss=0.027345, epoch loss=0.286963
Batch=899, step=21300, lr=0.111250, batch loss=0.034057, epoch loss=0.321019
Batch=959, step=21360, lr=0.111250, batch loss=0.010385, epoch loss=0.331405
Batch=1019, step=21420, lr=0.111000, batch loss=0.011859, epoch loss=0.343264
Batch=1079, step=21480, lr=0.110500, batch loss=0.001229, epoch loss=0.344493
Batch=1139, step=21540, lr=0.110250, batch loss=0.013670, epoch loss=0.358163
Batch=1199, step=21600, lr=0.110000, batch loss=0.005648, epoch loss=0.363811
Epoch=17, step=21600, lr=0.110000, epoch loss=0.363811
Batch=59, step=21660, lr=0.110000, batch loss=0.003203, epoch loss=0.003203
Batch=119, step=21720, lr=0.109750, batch loss=0.006756, epoch loss=0.009960
Batch=179, step=21780, lr=0.109500, batch loss=0.013381, epoch loss=0.023341
Batch=239, step=21840, lr=0.109250, batch loss=0.010024, epoch loss=0.033365
Batch=299, step=21900, lr=0.108750, batch loss=0.003106, epoch loss=0.036471
Batch=359, step=21960, lr=0.108500, batch loss=0.016395, epoch loss=0.052866
Batch=419, step=22020, lr=0.108500, batch loss=0.012707, epoch loss=0.065573
Batch=479, step=22080, lr=0.108000, batch loss=0.002849, epoch loss=0.068422
Batch=539, step=22140, lr=0.107750, batch loss=0.017460, epoch loss=0.085883
Batch=599, step=22200, lr=0.107500, batch loss=0.017938, epoch loss=0.103820
Batch=659, step=22260, lr=0.107500, batch loss=0.014666, epoch loss=0.118486
Batch=719, step=22320, lr=0.107250, batch loss=0.028289, epoch loss=0.146775
Batch=779, step=22380, lr=0.107000, batch loss=0.043315, epoch loss=0.190091
Batch=839, step=22440, lr=0.106750, batch loss=0.022472, epoch loss=0.212562
Batch=899, step=22500, lr=0.106250, batch loss=0.021884, epoch loss=0.234446
Batch=959, step=22560, lr=0.106250, batch loss=0.010937, epoch loss=0.245383
Batch=1019, step=22620, lr=0.105750, batch loss=0.010180, epoch loss=0.255563
Batch=1079, step=22680, lr=0.105500, batch loss=0.000414, epoch loss=0.255977
Batch=1139, step=22740, lr=0.105250, batch loss=0.011863, epoch loss=0.267840
Batch=1199, step=22800, lr=0.105000, batch loss=0.004449, epoch loss=0.272289
Epoch=18, step=22800, lr=0.105000, epoch loss=0.272289
Batch=59, step=22860, lr=0.104750, batch loss=0.001647, epoch loss=0.001647
Batch=119, step=22920, lr=0.104500, batch loss=0.005705, epoch loss=0.007353
Batch=179, step=22980, lr=0.104250, batch loss=0.011170, epoch loss=0.018523
Batch=239, step=23040, lr=0.104000, batch loss=0.009660, epoch loss=0.028183
Batch=299, step=23100, lr=0.103750, batch loss=0.011475, epoch loss=0.039658
Batch=359, step=23160, lr=0.103500, batch loss=0.011584, epoch loss=0.051242
Batch=419, step=23220, lr=0.103250, batch loss=0.011101, epoch loss=0.062343
Batch=479, step=23280, lr=0.103000, batch loss=0.002638, epoch loss=0.064981
Batch=539, step=23340, lr=0.102750, batch loss=0.016709, epoch loss=0.081691
Batch=599, step=23400, lr=0.102500, batch loss=0.014420, epoch loss=0.096111
Batch=659, step=23460, lr=0.102250, batch loss=0.011694, epoch loss=0.107805
Batch=719, step=23520, lr=0.102000, batch loss=0.012736, epoch loss=0.120541
Batch=779, step=23580, lr=0.102000, batch loss=0.023547, epoch loss=0.144088
Batch=839, step=23640, lr=0.101750, batch loss=0.028091, epoch loss=0.172179
Batch=899, step=23700, lr=0.101500, batch loss=0.021969, epoch loss=0.194147
Batch=959, step=23760, lr=0.101250, batch loss=0.010310, epoch loss=0.204457
Batch=1019, step=23820, lr=0.101000, batch loss=0.009555, epoch loss=0.214012
Batch=1079, step=23880, lr=0.100500, batch loss=0.001258, epoch loss=0.215269
Batch=1139, step=23940, lr=0.100250, batch loss=0.009667, epoch loss=0.224937
Batch=1199, step=24000, lr=0.100000, batch loss=0.004953, epoch loss=0.229889
Epoch=19, step=24000, lr=0.100000, epoch loss=0.229889


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 11:31.42 ---> saved as "ddf3102430617694af48813f70dcf4a313e9499c83e658825a3fbd3b33d3af48"
Job succeeded
2025-05-10 11:31.44: Job succeeded