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2025-05-10 12:44.17: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (23c9ad3f1bd3375dd27d32b631a0eaaff8ffceb2) (linux-x86_64:(lower-bound))
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 23c9ad3f
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 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && 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.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 12:44.17: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1-debian-12-5.2_opam-2.3-91d8fc90b89fc825294c5e3d186d1a48"
2025-05-10 12:44.17: 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 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && 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.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 12:44.17: Waiting for resource in pool OCluster
2025-05-10 12:44.17: Waiting for worker…
2025-05-10 12:44.42: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
HEAD is now at 95dddcae Don't fail if ocannl_config not found
HEAD is now at 23c9ad3f experiment


(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: Download complete
9cdcd98c6ce0: Pull complete
Digest: sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
Status: Downloaded newer image for ocaml/opam@sha256:166115abd237eddadd5274c8ea6038fb444d0ef984fbe81e187b6179db72d1b1
2025-05-10 12:44.44 ---> 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"))
2025-05-10 12:44.44 ---> 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.


Continue? [y/n] y
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.


[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
2025-05-10 12:44.44 ---> using "dd0dd0c6c175495539e514d9b8eb3a5c8c54df3004aef3012bd9510a35431074" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-05-10 12:44.44 ---> using "3ab7534e5b9733c11b41c4a00cfa1a9f054f7c2390c67eacee2774d0b967827f" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:44.44 ---> 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 1b767795a4e028a4d45f916f1598c24ee7a7b6cb || git fetch origin master) && git reset -q --hard 1b767795a4e028a4d45f916f1598c24ee7a7b6cb && git log --no-decorate -n1 --oneline && opam update -u"))
1b767795a4 Merge pull request #27704 from maiste/release-dune-3.18.0


<><> 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 12:44.44 ---> using "92336e4f63f61fa8bc3fb1f9da35d25adc61b5d4a45b6fb6299f8c3b9a89b097" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:44.44 ---> using "ccbb2c94c8763a1d8e005e2c6410635088a917741b4dea9897bf5ed87fa72a48" 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 12:44.44 ---> using "fe8bc6f2ad8d88ba4c4dde14270172bc2f079948eab6fd9661ee307a9763fbaf" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:44.44 ---> using "cb93213b4dd3d0d6ec98090e0d12b7811c79d2a579277ff2c04a86c7cf5f26db" from cache


/src: (env DEPS "angstrom.0.15.0 astring.0.8.5 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 camlp-streams.5.0 cmdliner.1.1.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 csexp.1.3.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.2.7.0 fieldslib.v0.17.0 fmt.0.9.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.7.0 mdx.2.5.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.2.4.0 ocaml_intrinsics_kernel.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 1s (412 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) ...
2025-05-10 12:44.44 ---> using "4bd86a8fc39d15b938928ee3aedc834c3e5525ed84a6821f5b2f5eade9fac4a6" 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 74 packages
- install angstrom                0.15.0
- install astring                 0.8.5
- install backoff                 0.1.0
- install base                    v0.17.0
- install bigarray-compat         1.1.0
- install bigstringaf             0.5.0
- install camlp-streams           5.0
- install cmdliner                1.1.0
- install conf-libffi             2.0.0
- install conf-pkg-config         1.0
- install cppo                    1.6.7
- install csexp                   1.3.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.0
- install dune-configurator       2.7.0
- install fieldslib               v0.17.0
- install fmt                     0.9.0
- install integers                0.6.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.7.0
- install mdx                     2.5.0
- install mtime                   2.0.0
- install multicore-magic         2.3.0
- install num                     1.0
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           2.4.0
- install ocaml_intrinsics_kernel v0.17.0
- install ocamlbuild              0.14.3
- install ocamlfind               1.9.6
- 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            5.2
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.0
- 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                  0.32.1
- 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                   0.8.6
- install re                      1.9.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     0.3
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.1.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.6
- install tyxml                   4.4.0
- install uucp                    13.0.0
- install uutf                    1.0.3
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.0  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved angstrom.0.15.0  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.0  (cached)
-> retrieved bigstringaf.0.5.0  (cached)
-> retrieved camlp-streams.5.0  (cached)
-> installed conf-pkg-config.1.0
-> installed conf-libffi.2.0.0
-> retrieved csexp.1.3.2  (cached)
-> retrieved cppo.1.6.7  (cached)
-> retrieved cmdliner.1.1.0  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.9.0  (cached)
-> retrieved integers.0.6.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.7.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune-configurator.2.7.0  (cached)
-> retrieved dune.3.18.0  (cached)
-> retrieved mtime.2.0.0  (cached)
-> retrieved multicore-magic.2.3.0  (cached)
-> retrieved num.1.0  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.2.4.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.0  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ocamlbuild.0.14.3  (cached)
-> retrieved ocamlfind.1.9.6  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_deriving.5.2  (cached)
-> retrieved ppx_expect.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ptime.0.8.6  (cached)
-> retrieved re.1.9.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.0.3  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved ppxlib.0.32.1  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.1.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.6  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved tyxml.4.4.0  (cached)
-> retrieved uutf.1.0.3  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.13.0.0  (cached)
-> installed cmdliner.1.1.0
-> installed ocamlfind.1.9.6
-> installed num.1.0
-> installed ocamlbuild.0.14.3
-> installed topkg.1.0.6
-> installed uutf.1.0.3
-> installed mtime.2.0.0
-> installed fmt.0.9.0
-> installed ptime.0.8.6
-> installed astring.0.8.5
-> installed logs.0.7.0
-> installed dune.3.18.0
-> installed bigstringaf.0.5.0
-> installed backoff.0.1.0
-> installed camlp-streams.5.0
-> installed bigarray-compat.1.1.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed seq.0.3
-> installed printbox.0.12
-> installed result.1.5
-> installed stdlib-shims.0.1.0
-> installed ocaml_intrinsics_kernel.v0.17.0
-> installed multicore-magic.2.3.0
-> installed thread-local-storage.0.2
-> installed ocaml-version.2.4.0
-> installed csexp.1.3.2
-> installed sexplib0.v0.17.0
-> installed integers.0.6.0
-> installed cppo.1.6.7
-> installed saturn_lockfree.0.5.0
-> installed dune-configurator.2.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.9.0
-> installed angstrom.0.15.0
-> installed parsexp.v0.17.0
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed tyxml.4.4.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.32.1
-> installed uucp.13.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ppxlib_jane.v0.17.0
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.5.2
-> 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.v0.17.0
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 12:44.44 ---> using "41cecdf5a1d96202c9e4aab36958a151f0c7d4077f1c18c79c52c4535d76a0a7" from cache


/src: (copy (src .) (dst /src))
2025-05-10 12:44.45 ---> saved as "90fdb63456c98bb4a665b74f02eb71d64b67af920d24da07fee54074b78a6e96"


/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/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06cbc034abb7fa2baca3df87e54b14f5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/09fee51462a8d279889fe6e74640da0d/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/09fee51462a8d279889fe6e74640da0d/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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.446818, epoch loss=37.063303
Batch=359, step=360, lr=0.198750, batch loss=1.336884, epoch loss=38.400187
Batch=419, step=420, lr=0.198250, batch loss=0.614503, epoch loss=39.014690
Batch=479, step=480, lr=0.198000, batch loss=0.794061, epoch loss=39.808751
Batch=539, step=540, lr=0.198000, batch loss=0.653285, epoch loss=40.462036
Batch=599, step=600, lr=0.197750, batch loss=1.083641, epoch loss=41.545677
Batch=659, step=660, lr=0.197500, batch loss=0.482771, epoch loss=42.028448
Batch=719, step=720, lr=0.197250, batch loss=0.412398, epoch loss=42.440846
Batch=779, step=780, lr=0.197000, batch loss=0.470751, epoch loss=42.911597
Batch=839, step=840, lr=0.196750, batch loss=0.445115, epoch loss=43.356712
Batch=899, step=900, lr=0.196250, batch loss=0.386198, epoch loss=43.742910
Batch=959, step=960, lr=0.196000, batch loss=0.250715, epoch loss=43.993626
Batch=1019, step=1020, lr=0.195750, batch loss=0.472055, epoch loss=44.465680
Batch=1079, step=1080, lr=0.195500, batch loss=0.246555, epoch loss=44.712235
Batch=1139, step=1140, lr=0.195250, batch loss=0.319593, epoch loss=45.031828
Batch=1199, step=1200, lr=0.195000, batch loss=0.265593, epoch loss=45.297421
Epoch=0, step=1200, lr=0.195000, epoch loss=45.297421
Batch=59, step=1260, lr=0.194750, batch loss=0.264110, epoch loss=0.264110
Batch=119, step=1320, lr=0.194750, batch loss=0.206449, epoch loss=0.470559
Batch=179, step=1380, lr=0.194250, batch loss=0.247162, epoch loss=0.717721
Batch=239, step=1440, lr=0.194000, batch loss=0.354024, epoch loss=1.071745
Batch=299, step=1500, lr=0.193750, batch loss=0.237545, epoch loss=1.309289
Batch=359, step=1560, lr=0.193500, batch loss=0.315094, epoch loss=1.624383
Batch=419, step=1620, lr=0.193250, batch loss=0.309441, epoch loss=1.933824
Batch=479, step=1680, lr=0.193000, batch loss=0.274523, epoch loss=2.208346
Batch=539, step=1740, lr=0.192750, batch loss=0.211118, epoch loss=2.419465
Batch=599, step=1800, lr=0.192750, batch loss=0.261431, epoch loss=2.680896
Batch=659, step=1860, lr=0.192250, batch loss=0.377814, epoch loss=3.058710
Batch=719, step=1920, lr=0.192000, batch loss=0.361608, epoch loss=3.420318
Batch=779, step=1980, lr=0.191750, batch loss=0.388570, epoch loss=3.808889
Batch=839, step=2040, lr=0.191500, batch loss=0.349404, epoch loss=4.158292
Batch=899, step=2100, lr=0.191250, batch loss=0.319663, epoch loss=4.477955
Batch=959, step=2160, lr=0.191250, batch loss=0.237292, epoch loss=4.715247
Batch=1019, step=2220, lr=0.191000, batch loss=0.313650, epoch loss=5.028898
Batch=1079, step=2280, lr=0.190500, batch loss=0.177341, epoch loss=5.206239
Batch=1139, step=2340, lr=0.190250, batch loss=0.241082, epoch loss=5.447321
Batch=1199, step=2400, lr=0.190250, batch loss=0.211053, epoch loss=5.658374
Epoch=1, step=2400, lr=0.190250, epoch loss=5.658374
Batch=59, step=2460, lr=0.189750, batch loss=0.242639, epoch loss=0.242639
Batch=119, step=2520, lr=0.189750, batch loss=0.212899, epoch loss=0.455538
Batch=179, step=2580, lr=0.189250, batch loss=0.221255, epoch loss=0.676792
Batch=239, step=2640, lr=0.189000, batch loss=0.327588, epoch loss=1.004380
Batch=299, step=2700, lr=0.189000, batch loss=0.207299, epoch loss=1.211680
Batch=359, step=2760, lr=0.188750, batch loss=0.290720, epoch loss=1.502400
Batch=419, step=2820, lr=0.188250, batch loss=0.282314, epoch loss=1.784714
Batch=479, step=2880, lr=0.188250, batch loss=0.259184, epoch loss=2.043899
Batch=539, step=2940, lr=0.188000, batch loss=0.198383, epoch loss=2.242282
Batch=599, step=3000, lr=0.187750, batch loss=0.243334, epoch loss=2.485616
Batch=659, step=3060, lr=0.187250, batch loss=0.349995, epoch loss=2.835611
Batch=719, step=3120, lr=0.187250, batch loss=0.348939, epoch loss=3.184550
Batch=779, step=3180, lr=0.187000, batch loss=0.363434, epoch loss=3.547985
Batch=839, step=3240, lr=0.186500, batch loss=0.326071, epoch loss=3.874056
Batch=899, step=3300, lr=0.186250, batch loss=0.295822, epoch loss=4.169878
Batch=959, step=3360, lr=0.186000, batch loss=0.239741, epoch loss=4.409619
Batch=1019, step=3420, lr=0.185750, batch loss=0.359091, epoch loss=4.768710
Batch=1079, step=3480, lr=0.185750, batch loss=0.224696, epoch loss=4.993407
Batch=1139, step=3540, lr=0.185500, batch loss=0.265759, epoch loss=5.259166
Batch=1199, step=3600, lr=0.185000, batch loss=0.201041, epoch loss=5.460206
Epoch=2, step=3600, lr=0.185000, epoch loss=5.460206
Batch=59, step=3660, lr=0.185000, batch loss=0.223168, epoch loss=0.223168
Batch=119, step=3720, lr=0.184500, batch loss=0.185476, epoch loss=0.408643
Batch=179, step=3780, lr=0.184250, batch loss=0.212949, epoch loss=0.621592
Batch=239, step=3840, lr=0.184250, batch loss=0.317885, epoch loss=0.939477
Batch=299, step=3900, lr=0.183750, batch loss=0.204207, epoch loss=1.143684
Batch=359, step=3960, lr=0.183500, batch loss=0.290118, epoch loss=1.433802
Batch=419, step=4020, lr=0.183250, batch loss=0.279646, epoch loss=1.713449
Batch=479, step=4080, lr=0.183000, batch loss=0.254552, epoch loss=1.968001
Batch=539, step=4140, lr=0.183000, batch loss=0.193702, epoch loss=2.161703
Batch=599, step=4200, lr=0.182500, batch loss=0.231573, epoch loss=2.393276
Batch=659, step=4260, lr=0.182500, batch loss=0.337770, epoch loss=2.731046
Batch=719, step=4320, lr=0.182000, batch loss=0.342497, epoch loss=3.073543
Batch=779, step=4380, lr=0.181750, batch loss=0.353322, epoch loss=3.426864
Batch=839, step=4440, lr=0.181500, batch loss=0.317973, epoch loss=3.744837
Batch=899, step=4500, lr=0.181250, batch loss=0.286191, epoch loss=4.031029
Batch=959, step=4560, lr=0.181250, batch loss=0.238987, epoch loss=4.270016
Batch=1019, step=4620, lr=0.181000, batch loss=0.348150, epoch loss=4.618166
Batch=1079, step=4680, lr=0.180750, batch loss=0.213329, epoch loss=4.831495
Batch=1139, step=4740, lr=0.180500, batch loss=0.250732, epoch loss=5.082227
Batch=1199, step=4800, lr=0.180250, batch loss=0.192480, epoch loss=5.274707
Epoch=3, step=4800, lr=0.180250, epoch loss=5.274707
Batch=59, step=4860, lr=0.180000, batch loss=0.226230, epoch loss=0.226230
Batch=119, step=4920, lr=0.179500, batch loss=0.186131, epoch loss=0.412361
Batch=179, step=4980, lr=0.179250, batch loss=0.206626, epoch loss=0.618987
Batch=239, step=5040, lr=0.179250, batch loss=0.307921, epoch loss=0.926908
Batch=299, step=5100, lr=0.179000, batch loss=0.201256, epoch loss=1.128164
Batch=359, step=5160, lr=0.178500, batch loss=0.274350, epoch loss=1.402514
Batch=419, step=5220, lr=0.178250, batch loss=0.264612, epoch loss=1.667126
Batch=479, step=5280, lr=0.178000, batch loss=0.240299, epoch loss=1.907426
Batch=539, step=5340, lr=0.178000, batch loss=0.189047, epoch loss=2.096473
Batch=599, step=5400, lr=0.177500, batch loss=0.231770, epoch loss=2.328243
Batch=659, step=5460, lr=0.177250, batch loss=0.324431, epoch loss=2.652674
Batch=719, step=5520, lr=0.177000, batch loss=0.322078, epoch loss=2.974752
Batch=779, step=5580, lr=0.176750, batch loss=0.342907, epoch loss=3.317659
Batch=839, step=5640, lr=0.176500, batch loss=0.311539, epoch loss=3.629198
Batch=899, step=5700, lr=0.176500, batch loss=0.272574, epoch loss=3.901772
Batch=959, step=5760, lr=0.176000, batch loss=0.218288, epoch loss=4.120060
Batch=1019, step=5820, lr=0.175750, batch loss=0.334752, epoch loss=4.454812
Batch=1079, step=5880, lr=0.175750, batch loss=0.190810, epoch loss=4.645622
Batch=1139, step=5940, lr=0.175250, batch loss=0.224680, epoch loss=4.870302
Batch=1199, step=6000, lr=0.175000, batch loss=0.189355, epoch loss=5.059657
Epoch=4, step=6000, lr=0.175000, epoch loss=5.059657
Batch=59, step=6060, lr=0.175000, batch loss=0.233790, epoch loss=0.233790
Batch=119, step=6120, lr=0.174500, batch loss=0.192558, epoch loss=0.426348
Batch=179, step=6180, lr=0.174250, batch loss=0.201922, epoch loss=0.628270
Batch=239, step=6240, lr=0.174250, batch loss=0.301070, epoch loss=0.929340
Batch=299, step=6300, lr=0.173750, batch loss=0.206414, epoch loss=1.135754
Batch=359, step=6360, lr=0.173500, batch loss=0.267602, epoch loss=1.403356
Batch=419, step=6420, lr=0.173250, batch loss=0.261527, epoch loss=1.664884
Batch=479, step=6480, lr=0.173000, batch loss=0.237666, epoch loss=1.902549
Batch=539, step=6540, lr=0.172750, batch loss=0.188895, epoch loss=2.091444
Batch=599, step=6600, lr=0.172500, batch loss=0.225794, epoch loss=2.317237
Batch=659, step=6660, lr=0.172250, batch loss=0.317230, epoch loss=2.634467
Batch=719, step=6720, lr=0.172250, batch loss=0.314817, epoch loss=2.949285
Batch=779, step=6780, lr=0.171750, batch loss=0.334820, epoch loss=3.284105
Batch=839, step=6840, lr=0.171750, batch loss=0.304433, epoch loss=3.588538
Batch=899, step=6900, lr=0.171250, batch loss=0.267387, epoch loss=3.855925
Batch=959, step=6960, lr=0.171000, batch loss=0.208368, epoch loss=4.064293
Batch=1019, step=7020, lr=0.171000, batch loss=0.328761, epoch loss=4.393054
Batch=1079, step=7080, lr=0.170750, batch loss=0.174231, epoch loss=4.567285
Batch=1139, step=7140, lr=0.170500, batch loss=0.213349, epoch loss=4.780634
Batch=1199, step=7200, lr=0.170250, batch loss=0.182760, epoch loss=4.963394
Epoch=5, step=7200, lr=0.170250, epoch loss=4.963394
Batch=59, step=7260, lr=0.169750, batch loss=0.235974, epoch loss=0.235974
Batch=119, step=7320, lr=0.169750, batch loss=0.182778, epoch loss=0.418752
Batch=179, step=7380, lr=0.169250, batch loss=0.195294, epoch loss=0.614046
Batch=239, step=7440, lr=0.169000, batch loss=0.291723, epoch loss=0.905770
Batch=299, step=7500, lr=0.168750, batch loss=0.207872, epoch loss=1.113641
Batch=359, step=7560, lr=0.168500, batch loss=0.261936, epoch loss=1.375577
Batch=419, step=7620, lr=0.168500, batch loss=0.255024, epoch loss=1.630602
Batch=479, step=7680, lr=0.168000, batch loss=0.239608, epoch loss=1.870210
Batch=539, step=7740, lr=0.168000, batch loss=0.186081, epoch loss=2.056291
Batch=599, step=7800, lr=0.167500, batch loss=0.226327, epoch loss=2.282619
Batch=659, step=7860, lr=0.167250, batch loss=0.306009, epoch loss=2.588628
Batch=719, step=7920, lr=0.167000, batch loss=0.307076, epoch loss=2.895704
Batch=779, step=7980, lr=0.166750, batch loss=0.322209, epoch loss=3.217913
Batch=839, step=8040, lr=0.166750, batch loss=0.296484, epoch loss=3.514398
Batch=899, step=8100, lr=0.166250, batch loss=0.260623, epoch loss=3.775021
Batch=959, step=8160, lr=0.166250, batch loss=0.207374, epoch loss=3.982395
Batch=1019, step=8220, lr=0.165750, batch loss=0.319012, epoch loss=4.301407
Batch=1079, step=8280, lr=0.165500, batch loss=0.172768, epoch loss=4.474175
Batch=1139, step=8340, lr=0.165250, batch loss=0.209715, epoch loss=4.683890
Batch=1199, step=8400, lr=0.165250, batch loss=0.178047, epoch loss=4.861937
Epoch=6, step=8400, lr=0.165250, epoch loss=4.861937
Batch=59, step=8460, lr=0.164750, batch loss=0.230604, epoch loss=0.230604
Batch=119, step=8520, lr=0.164750, batch loss=0.174773, epoch loss=0.405377
Batch=179, step=8580, lr=0.164500, batch loss=0.188265, epoch loss=0.593642
Batch=239, step=8640, lr=0.164000, batch loss=0.279473, epoch loss=0.873115
Batch=299, step=8700, lr=0.164000, batch loss=0.190860, epoch loss=1.063975
Batch=359, step=8760, lr=0.163500, batch loss=0.250273, epoch loss=1.314247
Batch=419, step=8820, lr=0.163250, batch loss=0.245429, epoch loss=1.559676
Batch=479, step=8880, lr=0.163250, batch loss=0.229604, epoch loss=1.789280
Batch=539, step=8940, lr=0.162750, batch loss=0.178483, epoch loss=1.967763
Batch=599, step=9000, lr=0.162750, batch loss=0.219283, epoch loss=2.187046
Batch=659, step=9060, lr=0.162250, batch loss=0.294825, epoch loss=2.481871
Batch=719, step=9120, lr=0.162000, batch loss=0.294942, epoch loss=2.776813
Batch=779, step=9180, lr=0.161750, batch loss=0.316378, epoch loss=3.093192
Batch=839, step=9240, lr=0.161750, batch loss=0.287421, epoch loss=3.380612
Batch=899, step=9300, lr=0.161500, batch loss=0.251785, epoch loss=3.632398
Batch=959, step=9360, lr=0.161000, batch loss=0.190376, epoch loss=3.822774
Batch=1019, step=9420, lr=0.160750, batch loss=0.317566, epoch loss=4.140340
Batch=1079, step=9480, lr=0.160750, batch loss=0.189691, epoch loss=4.330031
Batch=1139, step=9540, lr=0.160500, batch loss=0.212745, epoch loss=4.542775
Batch=1199, step=9600, lr=0.160000, batch loss=0.167109, epoch loss=4.709885
Epoch=7, step=9600, lr=0.160000, epoch loss=4.709885
Batch=59, step=9660, lr=0.160000, batch loss=0.200468, epoch loss=0.200468
Batch=119, step=9720, lr=0.159750, batch loss=0.164173, epoch loss=0.364641
Batch=179, step=9780, lr=0.159500, batch loss=0.178773, epoch loss=0.543414
Batch=239, step=9840, lr=0.159000, batch loss=0.263266, epoch loss=0.806680
Batch=299, step=9900, lr=0.158750, batch loss=0.182847, epoch loss=0.989527
Batch=359, step=9960, lr=0.158750, batch loss=0.244034, epoch loss=1.233560
Batch=419, step=10020, lr=0.158250, batch loss=0.238271, epoch loss=1.471831
Batch=479, step=10080, lr=0.158000, batch loss=0.229106, epoch loss=1.700938
Batch=539, step=10140, lr=0.158000, batch loss=0.186598, epoch loss=1.887535
Batch=599, step=10200, lr=0.157750, batch loss=0.204767, epoch loss=2.092302
Batch=659, step=10260, lr=0.157500, batch loss=0.283510, epoch loss=2.375812
Batch=719, step=10320, lr=0.157000, batch loss=0.283805, epoch loss=2.659616
Batch=779, step=10380, lr=0.157000, batch loss=0.296664, epoch loss=2.956280
Batch=839, step=10440, lr=0.156500, batch loss=0.272570, epoch loss=3.228850
Batch=899, step=10500, lr=0.156500, batch loss=0.237601, epoch loss=3.466452
Batch=959, step=10560, lr=0.156250, batch loss=0.179102, epoch loss=3.645554
Batch=1019, step=10620, lr=0.155750, batch loss=0.297720, epoch loss=3.943274
Batch=1079, step=10680, lr=0.155500, batch loss=0.177928, epoch loss=4.121202
Batch=1139, step=10740, lr=0.155250, batch loss=0.199416, epoch loss=4.320618
Batch=1199, step=10800, lr=0.155250, batch loss=0.155623, epoch loss=4.476241
Epoch=8, step=10800, lr=0.155250, epoch loss=4.476241
Batch=59, step=10860, lr=0.155000, batch loss=0.178949, epoch loss=0.178949
Batch=119, step=10920, lr=0.154750, batch loss=0.152746, epoch loss=0.331695
Batch=179, step=10980, lr=0.154500, batch loss=0.167329, epoch loss=0.499023
Batch=239, step=11040, lr=0.154250, batch loss=0.244764, epoch loss=0.743787
Batch=299, step=11100, lr=0.154000, batch loss=0.168205, epoch loss=0.911992
Batch=359, step=11160, lr=0.153750, batch loss=0.222121, epoch loss=1.134113
Batch=419, step=11220, lr=0.153500, batch loss=0.229175, epoch loss=1.363288
Batch=479, step=11280, lr=0.153250, batch loss=0.204790, epoch loss=1.568078
Batch=539, step=11340, lr=0.153000, batch loss=0.159341, epoch loss=1.727418
Batch=599, step=11400, lr=0.152750, batch loss=0.181253, epoch loss=1.908671
Batch=659, step=11460, lr=0.152250, batch loss=0.264429, epoch loss=2.173101
Batch=719, step=11520, lr=0.152000, batch loss=0.257094, epoch loss=2.430195
Batch=779, step=11580, lr=0.151750, batch loss=0.273362, epoch loss=2.703557
Batch=839, step=11640, lr=0.151750, batch loss=0.257053, epoch loss=2.960610
Batch=899, step=11700, lr=0.151500, batch loss=0.213823, epoch loss=3.174433
Batch=959, step=11760, lr=0.151000, batch loss=0.170716, epoch loss=3.345149
Batch=1019, step=11820, lr=0.150750, batch loss=0.264560, epoch loss=3.609709
Batch=1079, step=11880, lr=0.150750, batch loss=0.153443, epoch loss=3.763151
Batch=1139, step=11940, lr=0.150250, batch loss=0.185254, epoch loss=3.948405
Batch=1199, step=12000, lr=0.150000, batch loss=0.140638, epoch loss=4.089043
Epoch=9, step=12000, lr=0.150000, epoch loss=4.089043
Batch=59, step=12060, lr=0.150000, batch loss=0.160195, epoch loss=0.160195
Batch=119, step=12120, lr=0.149500, batch loss=0.128978, epoch loss=0.289172
Batch=179, step=12180, lr=0.149500, batch loss=0.153273, epoch loss=0.442445
Batch=239, step=12240, lr=0.149250, batch loss=0.223148, epoch loss=0.665593
Batch=299, step=12300, lr=0.149000, batch loss=0.145142, epoch loss=0.810735
Batch=359, step=12360, lr=0.148750, batch loss=0.197927, epoch loss=1.008663
Batch=419, step=12420, lr=0.148250, batch loss=0.207343, epoch loss=1.216006
Batch=479, step=12480, lr=0.148250, batch loss=0.180850, epoch loss=1.396856
Batch=539, step=12540, lr=0.148000, batch loss=0.143511, epoch loss=1.540367
Batch=599, step=12600, lr=0.147750, batch loss=0.152354, epoch loss=1.692721
Batch=659, step=12660, lr=0.147500, batch loss=0.225752, epoch loss=1.918472
Batch=719, step=12720, lr=0.147000, batch loss=0.233860, epoch loss=2.152332
Batch=779, step=12780, lr=0.147000, batch loss=0.257314, epoch loss=2.409645
Batch=839, step=12840, lr=0.146750, batch loss=0.234903, epoch loss=2.644549
Batch=899, step=12900, lr=0.146500, batch loss=0.226690, epoch loss=2.871239
Batch=959, step=12960, lr=0.146250, batch loss=0.146094, epoch loss=3.017333
Batch=1019, step=13020, lr=0.145750, batch loss=0.243460, epoch loss=3.260793
Batch=1079, step=13080, lr=0.145500, batch loss=0.105401, epoch loss=3.366194
Batch=1139, step=13140, lr=0.145500, batch loss=0.143613, epoch loss=3.509807
Batch=1199, step=13200, lr=0.145250, batch loss=0.123515, epoch loss=3.633322
Epoch=10, step=13200, lr=0.145250, epoch loss=3.633322
Batch=59, step=13260, lr=0.145000, batch loss=0.157292, epoch loss=0.157292
Batch=119, step=13320, lr=0.144500, batch loss=0.130140, epoch loss=0.287432
Batch=179, step=13380, lr=0.144250, batch loss=0.129678, epoch loss=0.417110
Batch=239, step=13440, lr=0.144000, batch loss=0.192698, epoch loss=0.609808
Batch=299, step=13500, lr=0.143750, batch loss=0.120979, epoch loss=0.730788
Batch=359, step=13560, lr=0.143500, batch loss=0.163815, epoch loss=0.894603
Batch=419, step=13620, lr=0.143500, batch loss=0.162419, epoch loss=1.057022
Batch=479, step=13680, lr=0.143000, batch loss=0.148624, epoch loss=1.205645
Batch=539, step=13740, lr=0.142750, batch loss=0.119912, epoch loss=1.325557
Batch=599, step=13800, lr=0.142500, batch loss=0.122206, epoch loss=1.447763
Batch=659, step=13860, lr=0.142500, batch loss=0.177755, epoch loss=1.625518
Batch=719, step=13920, lr=0.142250, batch loss=0.180381, epoch loss=1.805898
Batch=779, step=13980, lr=0.141750, batch loss=0.198898, epoch loss=2.004797
Batch=839, step=14040, lr=0.141750, batch loss=0.189078, epoch loss=2.193875
Batch=899, step=14100, lr=0.141500, batch loss=0.158933, epoch loss=2.352807
Batch=959, step=14160, lr=0.141250, batch loss=0.136148, epoch loss=2.488955
Batch=1019, step=14220, lr=0.141000, batch loss=0.282596, epoch loss=2.771551
Batch=1079, step=14280, lr=0.140500, batch loss=0.087857, epoch loss=2.859408
Batch=1139, step=14340, lr=0.140250, batch loss=0.133021, epoch loss=2.992429
Batch=1199, step=14400, lr=0.140000, batch loss=0.094783, epoch loss=3.087212
Epoch=11, step=14400, lr=0.140000, epoch loss=3.087212
Batch=59, step=14460, lr=0.140000, batch loss=0.122081, epoch loss=0.122081
Batch=119, step=14520, lr=0.139750, batch loss=0.106899, epoch loss=0.228980
Batch=179, step=14580, lr=0.139500, batch loss=0.104891, epoch loss=0.333871
Batch=239, step=14640, lr=0.139000, batch loss=0.145670, epoch loss=0.479541
Batch=299, step=14700, lr=0.138750, batch loss=0.077996, epoch loss=0.557537
Batch=359, step=14760, lr=0.138500, batch loss=0.122960, epoch loss=0.680497
Batch=419, step=14820, lr=0.138250, batch loss=0.128792, epoch loss=0.809289
Batch=479, step=14880, lr=0.138000, batch loss=0.107067, epoch loss=0.916357
Batch=539, step=14940, lr=0.138000, batch loss=0.105433, epoch loss=1.021790
Batch=599, step=15000, lr=0.137500, batch loss=0.086497, epoch loss=1.108287
Batch=659, step=15060, lr=0.137250, batch loss=0.129815, epoch loss=1.238102
Batch=719, step=15120, lr=0.137000, batch loss=0.120316, epoch loss=1.358418
Batch=779, step=15180, lr=0.136750, batch loss=0.140451, epoch loss=1.498868
Batch=839, step=15240, lr=0.136500, batch loss=0.165948, epoch loss=1.664816
Batch=899, step=15300, lr=0.136500, batch loss=0.271299, epoch loss=1.936115
Batch=959, step=15360, lr=0.136250, batch loss=0.071584, epoch loss=2.007699
Batch=1019, step=15420, lr=0.135750, batch loss=0.156870, epoch loss=2.164569
Batch=1079, step=15480, lr=0.135500, batch loss=0.043945, epoch loss=2.208513
Batch=1139, step=15540, lr=0.135500, batch loss=0.099641, epoch loss=2.308154
Batch=1199, step=15600, lr=0.135000, batch loss=0.062877, epoch loss=2.371031
Epoch=12, step=15600, lr=0.135000, epoch loss=2.371031
Batch=59, step=15660, lr=0.134750, batch loss=0.082722, epoch loss=0.082722
Batch=119, step=15720, lr=0.134500, batch loss=0.120256, epoch loss=0.202978
Batch=179, step=15780, lr=0.134250, batch loss=0.093630, epoch loss=0.296608
Batch=239, step=15840, lr=0.134000, batch loss=0.097619, epoch loss=0.394227
Batch=299, step=15900, lr=0.133750, batch loss=0.041769, epoch loss=0.435997
Batch=359, step=15960, lr=0.133500, batch loss=0.084012, epoch loss=0.520009
Batch=419, step=16020, lr=0.133500, batch loss=0.081762, epoch loss=0.601770
Batch=479, step=16080, lr=0.133000, batch loss=0.063850, epoch loss=0.665620
Batch=539, step=16140, lr=0.132750, batch loss=0.061640, epoch loss=0.727260
Batch=599, step=16200, lr=0.132500, batch loss=0.138363, epoch loss=0.865623
Batch=659, step=16260, lr=0.132500, batch loss=0.086434, epoch loss=0.952057
Batch=719, step=16320, lr=0.132000, batch loss=0.129711, epoch loss=1.081767
Batch=779, step=16380, lr=0.131750, batch loss=0.276338, epoch loss=1.358105
Batch=839, step=16440, lr=0.131750, batch loss=0.090989, epoch loss=1.449094
Batch=899, step=16500, lr=0.131500, batch loss=0.076162, epoch loss=1.525256
Batch=959, step=16560, lr=0.131000, batch loss=0.031918, epoch loss=1.557174
Batch=1019, step=16620, lr=0.130750, batch loss=0.071098, epoch loss=1.628271
Batch=1079, step=16680, lr=0.130500, batch loss=0.045551, epoch loss=1.673822
Batch=1139, step=16740, lr=0.130250, batch loss=0.079010, epoch loss=1.752832
Batch=1199, step=16800, lr=0.130000, batch loss=0.037486, epoch loss=1.790318
Epoch=13, step=16800, lr=0.130000, epoch loss=1.790318
Batch=59, step=16860, lr=0.129750, batch loss=0.034794, epoch loss=0.034794
Batch=119, step=16920, lr=0.129750, batch loss=0.037295, epoch loss=0.072090
Batch=179, step=16980, lr=0.129250, batch loss=0.043323, epoch loss=0.115412
Batch=239, step=17040, lr=0.129000, batch loss=0.061428, epoch loss=0.176840
Batch=299, step=17100, lr=0.128750, batch loss=0.034074, epoch loss=0.210914
Batch=359, step=17160, lr=0.128500, batch loss=0.053580, epoch loss=0.264494
Batch=419, step=17220, lr=0.128250, batch loss=0.092090, epoch loss=0.356583
Batch=479, step=17280, lr=0.128000, batch loss=0.026576, epoch loss=0.383159
Batch=539, step=17340, lr=0.127750, batch loss=0.027029, epoch loss=0.410188
Batch=599, step=17400, lr=0.127500, batch loss=0.042170, epoch loss=0.452358
Batch=659, step=17460, lr=0.127500, batch loss=0.055062, epoch loss=0.507420
Batch=719, step=17520, lr=0.127000, batch loss=0.054208, epoch loss=0.561628
Batch=779, step=17580, lr=0.127000, batch loss=0.072162, epoch loss=0.633790
Batch=839, step=17640, lr=0.126500, batch loss=0.130192, epoch loss=0.763982
Batch=899, step=17700, lr=0.126250, batch loss=0.061381, epoch loss=0.825363
Batch=959, step=17760, lr=0.126000, batch loss=0.021215, epoch loss=0.846578
Batch=1019, step=17820, lr=0.125750, batch loss=0.032810, epoch loss=0.879388
Batch=1079, step=17880, lr=0.125500, batch loss=0.014556, epoch loss=0.893944
Batch=1139, step=17940, lr=0.125250, batch loss=0.044342, epoch loss=0.938286
Batch=1199, step=18000, lr=0.125250, batch loss=0.018294, epoch loss=0.956579
Epoch=14, step=18000, lr=0.125250, epoch loss=0.956579
Batch=59, step=18060, lr=0.124750, batch loss=0.014609, epoch loss=0.014609
Batch=119, step=18120, lr=0.124500, batch loss=0.025349, epoch loss=0.039957
Batch=179, step=18180, lr=0.124250, batch loss=0.030305, epoch loss=0.070263
Batch=239, step=18240, lr=0.124000, batch loss=0.035866, epoch loss=0.106129
Batch=299, step=18300, lr=0.124000, batch loss=0.009536, epoch loss=0.115665
Batch=359, step=18360, lr=0.123500, batch loss=0.026276, epoch loss=0.141941
Batch=419, step=18420, lr=0.123250, batch loss=0.030937, epoch loss=0.172878
Batch=479, step=18480, lr=0.123250, batch loss=0.018825, epoch loss=0.191703
Batch=539, step=18540, lr=0.122750, batch loss=0.024567, epoch loss=0.216270
Batch=599, step=18600, lr=0.122500, batch loss=0.027226, epoch loss=0.243496
Batch=659, step=18660, lr=0.122250, batch loss=0.030510, epoch loss=0.274006
Batch=719, step=18720, lr=0.122250, batch loss=0.026785, epoch loss=0.300791
Batch=779, step=18780, lr=0.121750, batch loss=0.063319, epoch loss=0.364111
Batch=839, step=18840, lr=0.121500, batch loss=0.068748, epoch loss=0.432859
Batch=899, step=18900, lr=0.121250, batch loss=0.117107, epoch loss=0.549966
Batch=959, step=18960, lr=0.121000, batch loss=0.022027, epoch loss=0.571993
Batch=1019, step=19020, lr=0.120750, batch loss=0.027388, epoch loss=0.599381
Batch=1079, step=19080, lr=0.120500, batch loss=0.003779, epoch loss=0.603160
Batch=1139, step=19140, lr=0.120250, batch loss=0.022670, epoch loss=0.625830
Batch=1199, step=19200, lr=0.120000, batch loss=0.013160, epoch loss=0.638990
Epoch=15, step=19200, lr=0.120000, epoch loss=0.638990
Batch=59, step=19260, lr=0.119750, batch loss=0.010461, epoch loss=0.010461
Batch=119, step=19320, lr=0.119500, batch loss=0.026718, epoch loss=0.037179
Batch=179, step=19380, lr=0.119250, batch loss=0.069635, epoch loss=0.106814
Batch=239, step=19440, lr=0.119000, batch loss=0.031628, epoch loss=0.138442
Batch=299, step=19500, lr=0.118750, batch loss=0.006478, epoch loss=0.144920
Batch=359, step=19560, lr=0.118500, batch loss=0.023751, epoch loss=0.168671
Batch=419, step=19620, lr=0.118250, batch loss=0.021691, epoch loss=0.190363
Batch=479, step=19680, lr=0.118250, batch loss=0.008040, epoch loss=0.198403
Batch=539, step=19740, lr=0.117750, batch loss=0.018010, epoch loss=0.216413
Batch=599, step=19800, lr=0.117500, batch loss=0.023807, epoch loss=0.240220
Batch=659, step=19860, lr=0.117500, batch loss=0.022316, epoch loss=0.262536
Batch=719, step=19920, lr=0.117000, batch loss=0.051758, epoch loss=0.314293
Batch=779, step=19980, lr=0.116750, batch loss=0.086208, epoch loss=0.400501
Batch=839, step=20040, lr=0.116500, batch loss=0.031577, epoch loss=0.432078
Batch=899, step=20100, lr=0.116250, batch loss=0.033956, epoch loss=0.466034
Batch=959, step=20160, lr=0.116000, batch loss=0.011105, epoch loss=0.477139
Batch=1019, step=20220, lr=0.115750, batch loss=0.013913, epoch loss=0.491052
Batch=1079, step=20280, lr=0.115500, batch loss=0.003719, epoch loss=0.494771
Batch=1139, step=20340, lr=0.115500, batch loss=0.015319, epoch loss=0.510090
Batch=1199, step=20400, lr=0.115000, batch loss=0.005990, epoch loss=0.516080
Epoch=16, step=20400, lr=0.115000, epoch loss=0.516080
Batch=59, step=20460, lr=0.114750, batch loss=0.003152, epoch loss=0.003152
Batch=119, step=20520, lr=0.114500, batch loss=0.009609, epoch loss=0.012761
Batch=179, step=20580, lr=0.114250, batch loss=0.020156, epoch loss=0.032916
Batch=239, step=20640, lr=0.114000, batch loss=0.021119, epoch loss=0.054036
Batch=299, step=20700, lr=0.114000, batch loss=0.010305, epoch loss=0.064341
Batch=359, step=20760, lr=0.113500, batch loss=0.014610, epoch loss=0.078951
Batch=419, step=20820, lr=0.113250, batch loss=0.014658, epoch loss=0.093608
Batch=479, step=20880, lr=0.113000, batch loss=0.003954, epoch loss=0.097563
Batch=539, step=20940, lr=0.112750, batch loss=0.016140, epoch loss=0.113703
Batch=599, step=21000, lr=0.112500, batch loss=0.017564, epoch loss=0.131267
Batch=659, step=21060, lr=0.112250, batch loss=0.012988, epoch loss=0.144255
Batch=719, step=21120, lr=0.112250, batch loss=0.036182, epoch loss=0.180437
Batch=779, step=21180, lr=0.111750, batch loss=0.061775, epoch loss=0.242212
Batch=839, step=21240, lr=0.111750, batch loss=0.025541, epoch loss=0.267753
Batch=899, step=21300, lr=0.111500, batch loss=0.028311, epoch loss=0.296064
Batch=959, step=21360, lr=0.111000, batch loss=0.010104, epoch loss=0.306168
Batch=1019, step=21420, lr=0.110750, batch loss=0.010611, epoch loss=0.316779
Batch=1079, step=21480, lr=0.110500, batch loss=0.002009, epoch loss=0.318788
Batch=1139, step=21540, lr=0.110250, batch loss=0.012528, epoch loss=0.331316
Batch=1199, step=21600, lr=0.110000, batch loss=0.005070, epoch loss=0.336386
Epoch=17, step=21600, lr=0.110000, epoch loss=0.336386
Batch=59, step=21660, lr=0.110000, batch loss=0.002593, epoch loss=0.002593
Batch=119, step=21720, lr=0.109500, batch loss=0.006636, epoch loss=0.009229
Batch=179, step=21780, lr=0.109250, batch loss=0.012956, epoch loss=0.022185
Batch=239, step=21840, lr=0.109000, batch loss=0.009844, epoch loss=0.032029
Batch=299, step=21900, lr=0.108750, batch loss=0.001523, epoch loss=0.033553
Batch=359, step=21960, lr=0.108500, batch loss=0.011542, epoch loss=0.045095
Batch=419, step=22020, lr=0.108250, batch loss=0.012680, epoch loss=0.057774
Batch=479, step=22080, lr=0.108250, batch loss=0.002979, epoch loss=0.060753
Batch=539, step=22140, lr=0.107750, batch loss=0.017283, epoch loss=0.078036
Batch=599, step=22200, lr=0.107500, batch loss=0.017549, epoch loss=0.095585
Batch=659, step=22260, lr=0.107250, batch loss=0.015401, epoch loss=0.110987
Batch=719, step=22320, lr=0.107000, batch loss=0.026585, epoch loss=0.137571
Batch=779, step=22380, lr=0.107000, batch loss=0.037513, epoch loss=0.175084
Batch=839, step=22440, lr=0.106500, batch loss=0.024315, epoch loss=0.199400
Batch=899, step=22500, lr=0.106250, batch loss=0.029256, epoch loss=0.228656
Batch=959, step=22560, lr=0.106000, batch loss=0.009030, epoch loss=0.237686
Batch=1019, step=22620, lr=0.105750, batch loss=0.009823, epoch loss=0.247509
Batch=1079, step=22680, lr=0.105500, batch loss=0.000976, epoch loss=0.248484
Batch=1139, step=22740, lr=0.105250, batch loss=0.011345, epoch loss=0.259829
Batch=1199, step=22800, lr=0.105000, batch loss=0.004694, epoch loss=0.264523
Epoch=18, step=22800, lr=0.105000, epoch loss=0.264523
Batch=59, step=22860, lr=0.104750, batch loss=0.001830, epoch loss=0.001830
Batch=119, step=22920, lr=0.104500, batch loss=0.005580, epoch loss=0.007410
Batch=179, step=22980, lr=0.104250, batch loss=0.011385, epoch loss=0.018796
Batch=239, step=23040, lr=0.104000, batch loss=0.009223, epoch loss=0.028018
Batch=299, step=23100, lr=0.103750, batch loss=0.010060, epoch loss=0.038078
Batch=359, step=23160, lr=0.103500, batch loss=0.012418, epoch loss=0.050496
Batch=419, step=23220, lr=0.103250, batch loss=0.010643, epoch loss=0.061139
Batch=479, step=23280, lr=0.103000, batch loss=0.002444, epoch loss=0.063583
Batch=539, step=23340, lr=0.102750, batch loss=0.016746, epoch loss=0.080329
Batch=599, step=23400, lr=0.102500, batch loss=0.013871, epoch loss=0.094200
Batch=659, step=23460, lr=0.102250, batch loss=0.012087, epoch loss=0.106286
Batch=719, step=23520, lr=0.102250, batch loss=0.017219, epoch loss=0.123505
Batch=779, step=23580, lr=0.101750, batch loss=0.019639, epoch loss=0.143144
Batch=839, step=23640, lr=0.101500, batch loss=0.025422, epoch loss=0.168565
Batch=899, step=23700, lr=0.101250, batch loss=0.022698, epoch loss=0.191264
Batch=959, step=23760, lr=0.101250, batch loss=0.007833, epoch loss=0.199097
Batch=1019, step=23820, lr=0.100750, batch loss=0.006776, epoch loss=0.205873
Batch=1079, step=23880, lr=0.100500, batch loss=0.001663, epoch loss=0.207536
Batch=1139, step=23940, lr=0.100250, batch loss=0.008249, epoch loss=0.215785
Batch=1199, step=24000, lr=0.100000, batch loss=0.004466, epoch loss=0.220251
Epoch=19, step=24000, lr=0.100000, epoch loss=0.220251


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:46.48 ---> saved as "3236b55ad4587518f681213d671be84664fcb7bd4a21ed88886f9d11518b0696"
Job succeeded
2025-05-10 12:46.49: Job succeeded