ubuntu-20.04-5.3_opam-2.3

2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (linux-x86_64:ubuntu-20.04-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 1a4d0ebb
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195
# ubuntu-20.04-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-03-20 22:29.24: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195-ubuntu-20.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 22:29.24: Using OBuilder spec:
((from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
(comment ubuntu-20.04-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 22:29.24: Waiting for resource in pool OCluster
2025-03-20 22:29.24: Waiting for worker…
2025-03-20 22:32.13: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3


(from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
2025-03-20 22:32.13 ---> using "d6a86a5fa580a511bc47b9f81c505c664d6b1fdcbe9f7d39069ac2ba53948f98" from cache


/: (comment ubuntu-20.04-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 22:32.13 ---> using "e4c559ecd8860c61f49fce7cdb885f97ef6263360730db125d45927dd3160847" from cache


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


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


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 31 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=31 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-20 22:32.13 ---> using "9ff49ff109128f81f17ecaa56bc121fa8be57aeb2ced8b0a9487d633ee898d4a" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-20 22:32.13 ---> using "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:32.13 ---> using "e976b87820c4a8df89b999905db18252fae5f37ebe74ccfae6ed3810af338a29" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:32.13 ---> using "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:32.18 ---> saved as "f99b047404a4408af9056212933694e107a792c8ffdc61ba9ca8f890d212f0a0"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:32.24 ---> saved as "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:32.24 ---> saved as "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425"


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://security.ubuntu.com/ubuntu focal-security InRelease [128 kB]
- Hit:2 http://archive.ubuntu.com/ubuntu focal InRelease
- Get:3 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB]
- Get:4 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB]
- Get:5 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB]
- Get:6 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB]
- Get:7 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB]
- Get:8 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB]
- Get:9 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB]
- Get:10 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB]
- Get:11 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB]
- Get:12 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB]
- Fetched 21.5 MB in 2s (11.6 MB/s)
- Reading package lists...
- 


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


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


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


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libglib2.0-0:amd64.
- (Reading database ... 
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(Reading database ... 14727 files and directories currently installed.)
- Preparing to unpack .../0-libglib2.0-0_2.64.6-1~ubuntu20.04.8_amd64.deb ...
- Unpacking libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ...
- Selecting previously unselected package libglib2.0-data.
- Preparing to unpack .../1-libglib2.0-data_2.64.6-1~ubuntu20.04.8_all.deb ...
- Unpacking libglib2.0-data (2.64.6-1~ubuntu20.04.8) ...
- Selecting previously unselected package tzdata.
- Preparing to unpack .../2-tzdata_2024b-0ubuntu0.20.04.1_all.deb ...
- Unpacking tzdata (2024b-0ubuntu0.20.04.1) ...
- Selecting previously unselected package libicu66:amd64.
- Preparing to unpack .../3-libicu66_66.1-2ubuntu2.1_amd64.deb ...
- Unpacking libicu66:amd64 (66.1-2ubuntu2.1) ...
- Selecting previously unselected package libxml2:amd64.
- Preparing to unpack .../4-libxml2_2.9.10+dfsg-5ubuntu0.20.04.9_amd64.deb ...
- Unpacking libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.9) ...
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- Preparing to unpack .../8-libffi-dev_3.3-4_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.3-4) ...
- Setting up xdg-user-dirs (0.17-2ubuntu1) ...
- Setting up libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ...
- No schema files found: doing nothing.
- Setting up libffi-dev:amd64 (3.3-4) ...
- Setting up tzdata (2024b-0ubuntu0.20.04.1) ...
- 
- Current default time zone: 'Europe/London'
- Local time is now:      Thu Mar 20 22:32:56 GMT 2025.
- Universal Time is now:  Thu Mar 20 22:32:56 UTC 2025.
- Run 'dpkg-reconfigure tzdata' if you wish to change it.
- 
- Setting up libglib2.0-data (2.64.6-1~ubuntu20.04.8) ...
- Setting up pkg-config (0.29.1-0ubuntu4) ...
- Setting up libicu66:amd64 (66.1-2ubuntu2.1) ...
- Setting up libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.9) ...
- Setting up shared-mime-info (1.15-1) ...
- Processing triggers for libc-bin (2.31-0ubuntu9.17) ...
2025-03-20 22:32.56 ---> saved as "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (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.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed sexplib0.v0.17.0
-> installed cppo.1.8.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:34.41 ---> saved as "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5"


/src: (copy (src .) (dst /src))
2025-03-20 22:34.43 ---> saved as "71295385565cc514876fed88507c1a540f2a8a13941c5358c19cdbe223c0f45c"


/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b11fc6698ccaf02362aafdada842107e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198250, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841549
Batch=539, step=540, lr=0.198000, batch loss=0.691338, epoch loss=40.532887
Batch=599, step=600, lr=0.197750, batch loss=1.063206, epoch loss=41.596093
Batch=659, step=660, lr=0.197500, batch loss=0.483478, epoch loss=42.079571
Batch=719, step=720, lr=0.197250, batch loss=0.411326, epoch loss=42.490898
Batch=779, step=780, lr=0.197000, batch loss=0.470075, epoch loss=42.960972
Batch=839, step=840, lr=0.196750, batch loss=0.446754, epoch loss=43.407726
Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790461
Batch=959, step=960, lr=0.196250, batch loss=0.244931, epoch loss=44.035392
Batch=1019, step=1020, lr=0.196000, batch loss=0.466979, epoch loss=44.502372
Batch=1079, step=1080, lr=0.195750, batch loss=0.248417, epoch loss=44.750788
Batch=1139, step=1140, lr=0.195500, batch loss=0.317817, epoch loss=45.068605
Batch=1199, step=1200, lr=0.195250, batch loss=0.263596, epoch loss=45.332201
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332201
Batch=59, step=1260, lr=0.195000, batch loss=0.262061, epoch loss=0.262061
Batch=119, step=1320, lr=0.194750, batch loss=0.205387, epoch loss=0.467448
Batch=179, step=1380, lr=0.194500, batch loss=0.243651, epoch loss=0.711099
Batch=239, step=1440, lr=0.194250, batch loss=0.347762, epoch loss=1.058861
Batch=299, step=1500, lr=0.194000, batch loss=0.247603, epoch loss=1.306463
Batch=359, step=1560, lr=0.193500, batch loss=0.316389, epoch loss=1.622852
Batch=419, step=1620, lr=0.193500, batch loss=0.308828, epoch loss=1.931681
Batch=479, step=1680, lr=0.193250, batch loss=0.275073, epoch loss=2.206754
Batch=539, step=1740, lr=0.193000, batch loss=0.210862, epoch loss=2.417616
Batch=599, step=1800, lr=0.192750, batch loss=0.261907, epoch loss=2.679523
Batch=659, step=1860, lr=0.192500, batch loss=0.375666, epoch loss=3.055189
Batch=719, step=1920, lr=0.192250, batch loss=0.357965, epoch loss=3.413154
Batch=779, step=1980, lr=0.192000, batch loss=0.386955, epoch loss=3.800109
Batch=839, step=2040, lr=0.191750, batch loss=0.346418, epoch loss=4.146526
Batch=899, step=2100, lr=0.191500, batch loss=0.319075, epoch loss=4.465602
Batch=959, step=2160, lr=0.191250, batch loss=0.246378, epoch loss=4.711980
Batch=1019, step=2220, lr=0.191000, batch loss=0.377610, epoch loss=5.089590
Batch=1079, step=2280, lr=0.190750, batch loss=0.216584, epoch loss=5.306174
Batch=1139, step=2340, lr=0.190500, batch loss=0.265897, epoch loss=5.572070
Batch=1199, step=2400, lr=0.190250, batch loss=0.212212, epoch loss=5.784283
Epoch=1, step=2400, lr=0.190250, epoch loss=5.784283
Batch=59, step=2460, lr=0.190000, batch loss=0.233826, epoch loss=0.233826
Batch=119, step=2520, lr=0.189750, batch loss=0.195930, epoch loss=0.429756
Batch=179, step=2580, lr=0.189500, batch loss=0.221262, epoch loss=0.651018
Batch=239, step=2640, lr=0.189250, batch loss=0.329010, epoch loss=0.980028
Batch=299, step=2700, lr=0.189000, batch loss=0.206973, epoch loss=1.187001
Batch=359, step=2760, lr=0.188750, batch loss=0.292786, epoch loss=1.479787
Batch=419, step=2820, lr=0.188500, batch loss=0.281205, epoch loss=1.760991
Batch=479, step=2880, lr=0.188250, batch loss=0.255336, epoch loss=2.016327
Batch=539, step=2940, lr=0.188000, batch loss=0.196051, epoch loss=2.212378
Batch=599, step=3000, lr=0.187750, batch loss=0.240794, epoch loss=2.453172
Batch=659, step=3060, lr=0.187500, batch loss=0.348672, epoch loss=2.801844
Batch=719, step=3120, lr=0.187250, batch loss=0.347802, epoch loss=3.149646
Batch=779, step=3180, lr=0.187000, batch loss=0.364190, epoch loss=3.513836
Batch=839, step=3240, lr=0.186750, batch loss=0.324812, epoch loss=3.838648
Batch=899, step=3300, lr=0.186500, batch loss=0.289034, epoch loss=4.127682
Batch=959, step=3360, lr=0.186250, batch loss=0.211314, epoch loss=4.338996
Batch=1019, step=3420, lr=0.186000, batch loss=0.308365, epoch loss=4.647361
Batch=1079, step=3480, lr=0.185750, batch loss=0.174681, epoch loss=4.822042
Batch=1139, step=3540, lr=0.185500, batch loss=0.231607, epoch loss=5.053648
Batch=1199, step=3600, lr=0.185250, batch loss=0.199034, epoch loss=5.252683
Epoch=2, step=3600, lr=0.185250, epoch loss=5.252683
Batch=59, step=3660, lr=0.185000, batch loss=0.226839, epoch loss=0.226839
Batch=119, step=3720, lr=0.184750, batch loss=0.192012, epoch loss=0.418851
Batch=179, step=3780, lr=0.184500, batch loss=0.211056, epoch loss=0.629907
Batch=239, step=3840, lr=0.184250, batch loss=0.315020, epoch loss=0.944927
Batch=299, step=3900, lr=0.184000, batch loss=0.206276, epoch loss=1.151203
Batch=359, step=3960, lr=0.183750, batch loss=0.287445, epoch loss=1.438648
Batch=419, step=4020, lr=0.183500, batch loss=0.279242, epoch loss=1.717890
Batch=479, step=4080, lr=0.183250, batch loss=0.254704, epoch loss=1.972594
Batch=539, step=4140, lr=0.183000, batch loss=0.202032, epoch loss=2.174626
Batch=599, step=4200, lr=0.182750, batch loss=0.242239, epoch loss=2.416865
Batch=659, step=4260, lr=0.182500, batch loss=0.328464, epoch loss=2.745328
Batch=719, step=4320, lr=0.182250, batch loss=0.328297, epoch loss=3.073625
Batch=779, step=4380, lr=0.182000, batch loss=0.350636, epoch loss=3.424262
Batch=839, step=4440, lr=0.181750, batch loss=0.318880, epoch loss=3.743141
Batch=899, step=4500, lr=0.181500, batch loss=0.291283, epoch loss=4.034424
Batch=959, step=4560, lr=0.181250, batch loss=0.242626, epoch loss=4.277051
Batch=1019, step=4620, lr=0.181000, batch loss=0.347086, epoch loss=4.624136
Batch=1079, step=4680, lr=0.180750, batch loss=0.215207, epoch loss=4.839343
Batch=1139, step=4740, lr=0.180500, batch loss=0.250650, epoch loss=5.089993
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281761
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281761
Batch=59, step=4860, lr=0.180000, batch loss=0.226424, epoch loss=0.226424
Batch=119, step=4920, lr=0.179750, batch loss=0.190890, epoch loss=0.417314
Batch=179, step=4980, lr=0.179500, batch loss=0.206396, epoch loss=0.623710
Batch=239, step=5040, lr=0.179250, batch loss=0.307389, epoch loss=0.931099
Batch=299, step=5100, lr=0.179000, batch loss=0.207600, epoch loss=1.138699
Batch=359, step=5160, lr=0.178750, batch loss=0.274693, epoch loss=1.413392
Batch=419, step=5220, lr=0.178500, batch loss=0.265605, epoch loss=1.678997
Batch=479, step=5280, lr=0.178250, batch loss=0.241132, epoch loss=1.920129
Batch=539, step=5340, lr=0.178000, batch loss=0.189238, epoch loss=2.109367
Batch=599, step=5400, lr=0.177750, batch loss=0.230592, epoch loss=2.339959
Batch=659, step=5460, lr=0.177500, batch loss=0.324115, epoch loss=2.664074
Batch=719, step=5520, lr=0.177250, batch loss=0.326464, epoch loss=2.990538
Batch=779, step=5580, lr=0.177000, batch loss=0.348504, epoch loss=3.339042
Batch=839, step=5640, lr=0.176750, batch loss=0.306167, epoch loss=3.645209
Batch=899, step=5700, lr=0.176500, batch loss=0.265785, epoch loss=3.910994
Batch=959, step=5760, lr=0.176250, batch loss=0.200914, epoch loss=4.111909
Batch=1019, step=5820, lr=0.176000, batch loss=0.301374, epoch loss=4.413283
Batch=1079, step=5880, lr=0.175750, batch loss=0.182045, epoch loss=4.595327
Batch=1139, step=5940, lr=0.175500, batch loss=0.220924, epoch loss=4.816251
Batch=1199, step=6000, lr=0.175250, batch loss=0.185402, epoch loss=5.001654
Epoch=4, step=6000, lr=0.175250, epoch loss=5.001654
Batch=59, step=6060, lr=0.175000, batch loss=0.217503, epoch loss=0.217503
Batch=119, step=6120, lr=0.174750, batch loss=0.190093, epoch loss=0.407596
Batch=179, step=6180, lr=0.174500, batch loss=0.198725, epoch loss=0.606321
Batch=239, step=6240, lr=0.174250, batch loss=0.299258, epoch loss=0.905579
Batch=299, step=6300, lr=0.174000, batch loss=0.213712, epoch loss=1.119291
Batch=359, step=6360, lr=0.173750, batch loss=0.280733, epoch loss=1.400024
Batch=419, step=6420, lr=0.173500, batch loss=0.275630, epoch loss=1.675654
Batch=479, step=6480, lr=0.173250, batch loss=0.256920, epoch loss=1.932574
Batch=539, step=6540, lr=0.173000, batch loss=0.188190, epoch loss=2.120764
Batch=599, step=6600, lr=0.172750, batch loss=0.227711, epoch loss=2.348475
Batch=659, step=6660, lr=0.172500, batch loss=0.313456, epoch loss=2.661931
Batch=719, step=6720, lr=0.172250, batch loss=0.313467, epoch loss=2.975398
Batch=779, step=6780, lr=0.172000, batch loss=0.329835, epoch loss=3.305233
Batch=839, step=6840, lr=0.171750, batch loss=0.304146, epoch loss=3.609379
Batch=899, step=6900, lr=0.171500, batch loss=0.265299, epoch loss=3.874678
Batch=959, step=6960, lr=0.171250, batch loss=0.214218, epoch loss=4.088896
Batch=1019, step=7020, lr=0.171000, batch loss=0.326145, epoch loss=4.415040
Batch=1079, step=7080, lr=0.170750, batch loss=0.187470, epoch loss=4.602511
Batch=1139, step=7140, lr=0.170500, batch loss=0.218634, epoch loss=4.821145
Batch=1199, step=7200, lr=0.170250, batch loss=0.183322, epoch loss=5.004467
Epoch=5, step=7200, lr=0.170250, epoch loss=5.004467
Batch=59, step=7260, lr=0.170000, batch loss=0.239459, epoch loss=0.239459
Batch=119, step=7320, lr=0.169750, batch loss=0.180380, epoch loss=0.419840
Batch=179, step=7380, lr=0.169500, batch loss=0.194715, epoch loss=0.614555
Batch=239, step=7440, lr=0.169250, batch loss=0.289320, epoch loss=0.903875
Batch=299, step=7500, lr=0.169000, batch loss=0.201139, epoch loss=1.105014
Batch=359, step=7560, lr=0.168750, batch loss=0.259012, epoch loss=1.364025
Batch=419, step=7620, lr=0.168500, batch loss=0.256300, epoch loss=1.620325
Batch=479, step=7680, lr=0.168250, batch loss=0.236897, epoch loss=1.857222
Batch=539, step=7740, lr=0.168000, batch loss=0.188274, epoch loss=2.045496
Batch=599, step=7800, lr=0.167750, batch loss=0.225544, epoch loss=2.271040
Batch=659, step=7860, lr=0.167500, batch loss=0.304654, epoch loss=2.575695
Batch=719, step=7920, lr=0.167250, batch loss=0.306388, epoch loss=2.882083
Batch=779, step=7980, lr=0.167000, batch loss=0.321077, epoch loss=3.203161
Batch=839, step=8040, lr=0.166750, batch loss=0.295351, epoch loss=3.498512
Batch=899, step=8100, lr=0.166500, batch loss=0.259376, epoch loss=3.757888
Batch=959, step=8160, lr=0.166250, batch loss=0.206723, epoch loss=3.964611
Batch=1019, step=8220, lr=0.166000, batch loss=0.322567, epoch loss=4.287178
Batch=1079, step=8280, lr=0.165750, batch loss=0.204471, epoch loss=4.491649
Batch=1139, step=8340, lr=0.165500, batch loss=0.223501, epoch loss=4.715150
Batch=1199, step=8400, lr=0.165250, batch loss=0.174388, epoch loss=4.889538
Epoch=6, step=8400, lr=0.165250, epoch loss=4.889538
Batch=59, step=8460, lr=0.165000, batch loss=0.208557, epoch loss=0.208557
Batch=119, step=8520, lr=0.164750, batch loss=0.174027, epoch loss=0.382584
Batch=179, step=8580, lr=0.164500, batch loss=0.187460, epoch loss=0.570044
Batch=239, step=8640, lr=0.164250, batch loss=0.276637, epoch loss=0.846681
Batch=299, step=8700, lr=0.164000, batch loss=0.193122, epoch loss=1.039803
Batch=359, step=8760, lr=0.163750, batch loss=0.249097, epoch loss=1.288900
Batch=419, step=8820, lr=0.163500, batch loss=0.244211, epoch loss=1.533112
Batch=479, step=8880, lr=0.163250, batch loss=0.229178, epoch loss=1.762290
Batch=539, step=8940, lr=0.163000, batch loss=0.177202, epoch loss=1.939492
Batch=599, step=9000, lr=0.162750, batch loss=0.218721, epoch loss=2.158213
Batch=659, step=9060, lr=0.162500, batch loss=0.292935, epoch loss=2.451148
Batch=719, step=9120, lr=0.162250, batch loss=0.296038, epoch loss=2.747186
Batch=779, step=9180, lr=0.162000, batch loss=0.314344, epoch loss=3.061530
Batch=839, step=9240, lr=0.161750, batch loss=0.281300, epoch loss=3.342831
Batch=899, step=9300, lr=0.161500, batch loss=0.252388, epoch loss=3.595218
Batch=959, step=9360, lr=0.161250, batch loss=0.187318, epoch loss=3.782536
Batch=1019, step=9420, lr=0.161000, batch loss=0.319077, epoch loss=4.101613
Batch=1079, step=9480, lr=0.160750, batch loss=0.195745, epoch loss=4.297358
Batch=1139, step=9540, lr=0.160500, batch loss=0.212527, epoch loss=4.509885
Batch=1199, step=9600, lr=0.160250, batch loss=0.167416, epoch loss=4.677301
Epoch=7, step=9600, lr=0.160250, epoch loss=4.677301
Batch=59, step=9660, lr=0.160000, batch loss=0.210194, epoch loss=0.210194
Batch=119, step=9720, lr=0.159750, batch loss=0.170785, epoch loss=0.380979
Batch=179, step=9780, lr=0.159500, batch loss=0.179349, epoch loss=0.560328
Batch=239, step=9840, lr=0.159250, batch loss=0.262004, epoch loss=0.822332
Batch=299, step=9900, lr=0.159000, batch loss=0.184186, epoch loss=1.006517
Batch=359, step=9960, lr=0.158750, batch loss=0.238244, epoch loss=1.244761
Batch=419, step=10020, lr=0.158500, batch loss=0.233817, epoch loss=1.478578
Batch=479, step=10080, lr=0.158250, batch loss=0.219671, epoch loss=1.698249
Batch=539, step=10140, lr=0.158000, batch loss=0.164781, epoch loss=1.863030
Batch=599, step=10200, lr=0.157750, batch loss=0.197118, epoch loss=2.060147
Batch=659, step=10260, lr=0.157500, batch loss=0.281726, epoch loss=2.341873
Batch=719, step=10320, lr=0.157250, batch loss=0.281783, epoch loss=2.623656
Batch=779, step=10380, lr=0.157000, batch loss=0.294670, epoch loss=2.918326
Batch=839, step=10440, lr=0.156750, batch loss=0.269911, epoch loss=3.188237
Batch=899, step=10500, lr=0.156500, batch loss=0.238624, epoch loss=3.426861
Batch=959, step=10560, lr=0.156250, batch loss=0.174431, epoch loss=3.601291
Batch=1019, step=10620, lr=0.156000, batch loss=0.286064, epoch loss=3.887355
Batch=1079, step=10680, lr=0.155750, batch loss=0.188350, epoch loss=4.075705
Batch=1139, step=10740, lr=0.155500, batch loss=0.200120, epoch loss=4.275826
Batch=1199, step=10800, lr=0.155250, batch loss=0.155530, epoch loss=4.431356
Epoch=8, step=10800, lr=0.155250, epoch loss=4.431356
Batch=59, step=10860, lr=0.155000, batch loss=0.178017, epoch loss=0.178017
Batch=119, step=10920, lr=0.154750, batch loss=0.150555, epoch loss=0.328572
Batch=179, step=10980, lr=0.154500, batch loss=0.165587, epoch loss=0.494160
Batch=239, step=11040, lr=0.154250, batch loss=0.242746, epoch loss=0.736906
Batch=299, step=11100, lr=0.154000, batch loss=0.168475, epoch loss=0.905381
Batch=359, step=11160, lr=0.153750, batch loss=0.220294, epoch loss=1.125675
Batch=419, step=11220, lr=0.153500, batch loss=0.218362, epoch loss=1.344037
Batch=479, step=11280, lr=0.153250, batch loss=0.210041, epoch loss=1.554078
Batch=539, step=11340, lr=0.153000, batch loss=0.165598, epoch loss=1.719676
Batch=599, step=11400, lr=0.152750, batch loss=0.177192, epoch loss=1.896867
Batch=659, step=11460, lr=0.152500, batch loss=0.259572, epoch loss=2.156439
Batch=719, step=11520, lr=0.152250, batch loss=0.260319, epoch loss=2.416758
Batch=779, step=11580, lr=0.152000, batch loss=0.268906, epoch loss=2.685664
Batch=839, step=11640, lr=0.151750, batch loss=0.250782, epoch loss=2.936446
Batch=899, step=11700, lr=0.151500, batch loss=0.216433, epoch loss=3.152878
Batch=959, step=11760, lr=0.151250, batch loss=0.161284, epoch loss=3.314162
Batch=1019, step=11820, lr=0.151000, batch loss=0.258484, epoch loss=3.572646
Batch=1079, step=11880, lr=0.150750, batch loss=0.139388, epoch loss=3.712033
Batch=1139, step=11940, lr=0.150500, batch loss=0.172903, epoch loss=3.884936
Batch=1199, step=12000, lr=0.150250, batch loss=0.138602, epoch loss=4.023538
Epoch=9, step=12000, lr=0.150250, epoch loss=4.023538
Batch=59, step=12060, lr=0.150000, batch loss=0.163411, epoch loss=0.163411
Batch=119, step=12120, lr=0.149750, batch loss=0.134427, epoch loss=0.297838
Batch=179, step=12180, lr=0.149500, batch loss=0.150455, epoch loss=0.448293
Batch=239, step=12240, lr=0.149250, batch loss=0.219571, epoch loss=0.667864
Batch=299, step=12300, lr=0.149000, batch loss=0.140190, epoch loss=0.808054
Batch=359, step=12360, lr=0.148750, batch loss=0.199133, epoch loss=1.007187
Batch=419, step=12420, lr=0.148500, batch loss=0.203713, epoch loss=1.210900
Batch=479, step=12480, lr=0.148250, batch loss=0.180500, epoch loss=1.391400
Batch=539, step=12540, lr=0.148000, batch loss=0.141299, epoch loss=1.532699
Batch=599, step=12600, lr=0.147750, batch loss=0.150616, epoch loss=1.683315
Batch=659, step=12660, lr=0.147500, batch loss=0.223873, epoch loss=1.907188
Batch=719, step=12720, lr=0.147250, batch loss=0.234493, epoch loss=2.141681
Batch=779, step=12780, lr=0.147000, batch loss=0.261627, epoch loss=2.403308
Batch=839, step=12840, lr=0.146750, batch loss=0.234682, epoch loss=2.637990
Batch=899, step=12900, lr=0.146500, batch loss=0.222494, epoch loss=2.860484
Batch=959, step=12960, lr=0.146250, batch loss=0.143989, epoch loss=3.004473
Batch=1019, step=13020, lr=0.146000, batch loss=0.227084, epoch loss=3.231556
Batch=1079, step=13080, lr=0.145750, batch loss=0.101835, epoch loss=3.333392
Batch=1139, step=13140, lr=0.145500, batch loss=0.136896, epoch loss=3.470287
Batch=1199, step=13200, lr=0.145250, batch loss=0.119386, epoch loss=3.589673
Epoch=10, step=13200, lr=0.145250, epoch loss=3.589673
Batch=59, step=13260, lr=0.145000, batch loss=0.138210, epoch loss=0.138210
Batch=119, step=13320, lr=0.144750, batch loss=0.124155, epoch loss=0.262365
Batch=179, step=13380, lr=0.144500, batch loss=0.126418, epoch loss=0.388782
Batch=239, step=13440, lr=0.144250, batch loss=0.191789, epoch loss=0.580571
Batch=299, step=13500, lr=0.144000, batch loss=0.133011, epoch loss=0.713582
Batch=359, step=13560, lr=0.143750, batch loss=0.159955, epoch loss=0.873537
Batch=419, step=13620, lr=0.143500, batch loss=0.163088, epoch loss=1.036625
Batch=479, step=13680, lr=0.143250, batch loss=0.144836, epoch loss=1.181461
Batch=539, step=13740, lr=0.143000, batch loss=0.120428, epoch loss=1.301889
Batch=599, step=13800, lr=0.142750, batch loss=0.119355, epoch loss=1.421243
Batch=659, step=13860, lr=0.142500, batch loss=0.175462, epoch loss=1.596706
Batch=719, step=13920, lr=0.142250, batch loss=0.174061, epoch loss=1.770767
Batch=779, step=13980, lr=0.142000, batch loss=0.199056, epoch loss=1.969823
Batch=839, step=14040, lr=0.141750, batch loss=0.199268, epoch loss=2.169091
Batch=899, step=14100, lr=0.141500, batch loss=0.223237, epoch loss=2.392327
Batch=959, step=14160, lr=0.141250, batch loss=0.097489, epoch loss=2.489816
Batch=1019, step=14220, lr=0.141000, batch loss=0.186331, epoch loss=2.676147
Batch=1079, step=14280, lr=0.140750, batch loss=0.080049, epoch loss=2.756196
Batch=1139, step=14340, lr=0.140500, batch loss=0.131249, epoch loss=2.887445
Batch=1199, step=14400, lr=0.140250, batch loss=0.086186, epoch loss=2.973631
Epoch=11, step=14400, lr=0.140250, epoch loss=2.973631
Batch=59, step=14460, lr=0.140000, batch loss=0.104191, epoch loss=0.104191
Batch=119, step=14520, lr=0.139750, batch loss=0.098084, epoch loss=0.202275
Batch=179, step=14580, lr=0.139500, batch loss=0.099686, epoch loss=0.301961
Batch=239, step=14640, lr=0.139250, batch loss=0.140809, epoch loss=0.442770
Batch=299, step=14700, lr=0.139000, batch loss=0.076349, epoch loss=0.519119
Batch=359, step=14760, lr=0.138750, batch loss=0.119100, epoch loss=0.638220
Batch=419, step=14820, lr=0.138500, batch loss=0.129211, epoch loss=0.767431
Batch=479, step=14880, lr=0.138250, batch loss=0.102064, epoch loss=0.869495
Batch=539, step=14940, lr=0.138000, batch loss=0.109034, epoch loss=0.978529
Batch=599, step=15000, lr=0.137750, batch loss=0.082826, epoch loss=1.061355
Batch=659, step=15060, lr=0.137500, batch loss=0.125790, epoch loss=1.187145
Batch=719, step=15120, lr=0.137250, batch loss=0.126401, epoch loss=1.313547
Batch=779, step=15180, lr=0.137000, batch loss=0.153159, epoch loss=1.466706
Batch=839, step=15240, lr=0.136750, batch loss=0.174551, epoch loss=1.641257
Batch=899, step=15300, lr=0.136500, batch loss=0.304651, epoch loss=1.945908
Batch=959, step=15360, lr=0.136250, batch loss=0.061838, epoch loss=2.007745
Batch=1019, step=15420, lr=0.136000, batch loss=0.135232, epoch loss=2.142977
Batch=1079, step=15480, lr=0.135750, batch loss=0.041863, epoch loss=2.184840
Batch=1139, step=15540, lr=0.135500, batch loss=0.093913, epoch loss=2.278752
Batch=1199, step=15600, lr=0.135250, batch loss=0.059140, epoch loss=2.337892
Epoch=12, step=15600, lr=0.135250, epoch loss=2.337892
Batch=59, step=15660, lr=0.135000, batch loss=0.076051, epoch loss=0.076051
Batch=119, step=15720, lr=0.134750, batch loss=0.106056, epoch loss=0.182107
Batch=179, step=15780, lr=0.134500, batch loss=0.089171, epoch loss=0.271279
Batch=239, step=15840, lr=0.134250, batch loss=0.091722, epoch loss=0.363000
Batch=299, step=15900, lr=0.134000, batch loss=0.039083, epoch loss=0.402083
Batch=359, step=15960, lr=0.133750, batch loss=0.077733, epoch loss=0.479816
Batch=419, step=16020, lr=0.133500, batch loss=0.081844, epoch loss=0.561660
Batch=479, step=16080, lr=0.133250, batch loss=0.069338, epoch loss=0.630998
Batch=539, step=16140, lr=0.133000, batch loss=0.051951, epoch loss=0.682949
Batch=599, step=16200, lr=0.132750, batch loss=0.098605, epoch loss=0.781555
Batch=659, step=16260, lr=0.132500, batch loss=0.074468, epoch loss=0.856022
Batch=719, step=16320, lr=0.132250, batch loss=0.086633, epoch loss=0.942655
Batch=779, step=16380, lr=0.132000, batch loss=0.128533, epoch loss=1.071188
Batch=839, step=16440, lr=0.131750, batch loss=0.124919, epoch loss=1.196107
Batch=899, step=16500, lr=0.131500, batch loss=0.154992, epoch loss=1.351099
Batch=959, step=16560, lr=0.131250, batch loss=0.037616, epoch loss=1.388715
Batch=1019, step=16620, lr=0.131000, batch loss=0.109453, epoch loss=1.498168
Batch=1079, step=16680, lr=0.130750, batch loss=0.023672, epoch loss=1.521840
Batch=1139, step=16740, lr=0.130500, batch loss=0.054639, epoch loss=1.576478
Batch=1199, step=16800, lr=0.130250, batch loss=0.030982, epoch loss=1.607460
Epoch=13, step=16800, lr=0.130250, epoch loss=1.607460
Batch=59, step=16860, lr=0.130000, batch loss=0.036509, epoch loss=0.036509
Batch=119, step=16920, lr=0.129750, batch loss=0.048116, epoch loss=0.084625
Batch=179, step=16980, lr=0.129500, batch loss=0.048182, epoch loss=0.132807
Batch=239, step=17040, lr=0.129250, batch loss=0.068729, epoch loss=0.201535
Batch=299, step=17100, lr=0.129000, batch loss=0.033337, epoch loss=0.234873
Batch=359, step=17160, lr=0.128750, batch loss=0.050079, epoch loss=0.284952
Batch=419, step=17220, lr=0.128500, batch loss=0.077569, epoch loss=0.362520
Batch=479, step=17280, lr=0.128250, batch loss=0.023251, epoch loss=0.385772
Batch=539, step=17340, lr=0.128000, batch loss=0.028058, epoch loss=0.413829
Batch=599, step=17400, lr=0.127750, batch loss=0.033554, epoch loss=0.447383
Batch=659, step=17460, lr=0.127500, batch loss=0.045635, epoch loss=0.493018
Batch=719, step=17520, lr=0.127250, batch loss=0.062370, epoch loss=0.555389
Batch=779, step=17580, lr=0.127000, batch loss=0.124671, epoch loss=0.680059
Batch=839, step=17640, lr=0.126750, batch loss=0.105416, epoch loss=0.785475
Batch=899, step=17700, lr=0.126500, batch loss=0.144298, epoch loss=0.929774
Batch=959, step=17760, lr=0.126250, batch loss=0.019492, epoch loss=0.949266
Batch=1019, step=17820, lr=0.126000, batch loss=0.037742, epoch loss=0.987008
Batch=1079, step=17880, lr=0.125750, batch loss=0.008649, epoch loss=0.995657
Batch=1139, step=17940, lr=0.125500, batch loss=0.030168, epoch loss=1.025825
Batch=1199, step=18000, lr=0.125250, batch loss=0.013757, epoch loss=1.039582
Epoch=14, step=18000, lr=0.125250, epoch loss=1.039582
Batch=59, step=18060, lr=0.125000, batch loss=0.010977, epoch loss=0.010977
Batch=119, step=18120, lr=0.124750, batch loss=0.019620, epoch loss=0.030596
Batch=179, step=18180, lr=0.124500, batch loss=0.033517, epoch loss=0.064113
Batch=239, step=18240, lr=0.124250, batch loss=0.038165, epoch loss=0.102278
Batch=299, step=18300, lr=0.124000, batch loss=0.016741, epoch loss=0.119019
Batch=359, step=18360, lr=0.123750, batch loss=0.022761, epoch loss=0.141780
Batch=419, step=18420, lr=0.123500, batch loss=0.028958, epoch loss=0.170739
Batch=479, step=18480, lr=0.123250, batch loss=0.020635, epoch loss=0.191374
Batch=539, step=18540, lr=0.123000, batch loss=0.040432, epoch loss=0.231807
Batch=599, step=18600, lr=0.122750, batch loss=0.025344, epoch loss=0.257151
Batch=659, step=18660, lr=0.122500, batch loss=0.034344, epoch loss=0.291494
Batch=719, step=18720, lr=0.122250, batch loss=0.033381, epoch loss=0.324875
Batch=779, step=18780, lr=0.122000, batch loss=0.082409, epoch loss=0.407284
Batch=839, step=18840, lr=0.121750, batch loss=0.051445, epoch loss=0.458729
Batch=899, step=18900, lr=0.121500, batch loss=0.050120, epoch loss=0.508848
Batch=959, step=18960, lr=0.121250, batch loss=0.013435, epoch loss=0.522283
Batch=1019, step=19020, lr=0.121000, batch loss=0.026123, epoch loss=0.548406
Batch=1079, step=19080, lr=0.120750, batch loss=0.010620, epoch loss=0.559026
Batch=1139, step=19140, lr=0.120500, batch loss=0.023494, epoch loss=0.582520
Batch=1199, step=19200, lr=0.120250, batch loss=0.009739, epoch loss=0.592259
Epoch=15, step=19200, lr=0.120250, epoch loss=0.592259
Batch=59, step=19260, lr=0.120000, batch loss=0.005474, epoch loss=0.005474
Batch=119, step=19320, lr=0.119750, batch loss=0.016297, epoch loss=0.021771
Batch=179, step=19380, lr=0.119500, batch loss=0.040051, epoch loss=0.061823
Batch=239, step=19440, lr=0.119250, batch loss=0.022645, epoch loss=0.084467
Batch=299, step=19500, lr=0.119000, batch loss=0.005180, epoch loss=0.089647
Batch=359, step=19560, lr=0.118750, batch loss=0.016266, epoch loss=0.105914
Batch=419, step=19620, lr=0.118500, batch loss=0.018406, epoch loss=0.124320
Batch=479, step=19680, lr=0.118250, batch loss=0.008827, epoch loss=0.133147
Batch=539, step=19740, lr=0.118000, batch loss=0.019843, epoch loss=0.152990
Batch=599, step=19800, lr=0.117750, batch loss=0.021248, epoch loss=0.174238
Batch=659, step=19860, lr=0.117500, batch loss=0.020272, epoch loss=0.194510
Batch=719, step=19920, lr=0.117250, batch loss=0.031261, epoch loss=0.225771
Batch=779, step=19980, lr=0.117000, batch loss=0.060982, epoch loss=0.286753
Batch=839, step=20040, lr=0.116750, batch loss=0.035396, epoch loss=0.322150
Batch=899, step=20100, lr=0.116500, batch loss=0.042854, epoch loss=0.365004
Batch=959, step=20160, lr=0.116250, batch loss=0.010915, epoch loss=0.375919
Batch=1019, step=20220, lr=0.116000, batch loss=0.012476, epoch loss=0.388395
Batch=1079, step=20280, lr=0.115750, batch loss=0.005162, epoch loss=0.393557
Batch=1139, step=20340, lr=0.115500, batch loss=0.019021, epoch loss=0.412578
Batch=1199, step=20400, lr=0.115250, batch loss=0.007482, epoch loss=0.420060
Epoch=16, step=20400, lr=0.115250, epoch loss=0.420060
Batch=59, step=20460, lr=0.115000, batch loss=0.003517, epoch loss=0.003517
Batch=119, step=20520, lr=0.114750, batch loss=0.008559, epoch loss=0.012076
Batch=179, step=20580, lr=0.114500, batch loss=0.015447, epoch loss=0.027523
Batch=239, step=20640, lr=0.114250, batch loss=0.012806, epoch loss=0.040329
Batch=299, step=20700, lr=0.114000, batch loss=0.003901, epoch loss=0.044230
Batch=359, step=20760, lr=0.113750, batch loss=0.013022, epoch loss=0.057252
Batch=419, step=20820, lr=0.113500, batch loss=0.016407, epoch loss=0.073659
Batch=479, step=20880, lr=0.113250, batch loss=0.007017, epoch loss=0.080676
Batch=539, step=20940, lr=0.113000, batch loss=0.015358, epoch loss=0.096034
Batch=599, step=21000, lr=0.112750, batch loss=0.020416, epoch loss=0.116449
Batch=659, step=21060, lr=0.112500, batch loss=0.013690, epoch loss=0.130139
Batch=719, step=21120, lr=0.112250, batch loss=0.027422, epoch loss=0.157562
Batch=779, step=21180, lr=0.111750, batch loss=0.053432, epoch loss=0.210994
Batch=839, step=21240, lr=0.111750, batch loss=0.024906, epoch loss=0.235900
Batch=899, step=21300, lr=0.111500, batch loss=0.024222, epoch loss=0.260122
Batch=959, step=21360, lr=0.111250, batch loss=0.016747, epoch loss=0.276869
Batch=1019, step=21420, lr=0.111000, batch loss=0.013201, epoch loss=0.290070
Batch=1079, step=21480, lr=0.110750, batch loss=0.002568, epoch loss=0.292638
Batch=1139, step=21540, lr=0.110500, batch loss=0.011774, epoch loss=0.304412
Batch=1199, step=21600, lr=0.110000, batch loss=0.004773, epoch loss=0.309185
Epoch=17, step=21600, lr=0.110000, epoch loss=0.309185
Batch=59, step=21660, lr=0.110000, batch loss=0.002203, epoch loss=0.002203
Batch=119, step=21720, lr=0.109500, batch loss=0.007332, epoch loss=0.009535
Batch=179, step=21780, lr=0.109250, batch loss=0.012063, epoch loss=0.021598
Batch=239, step=21840, lr=0.109000, batch loss=0.009444, epoch loss=0.031042
Batch=299, step=21900, lr=0.108750, batch loss=0.008591, epoch loss=0.039633
Batch=359, step=21960, lr=0.108750, batch loss=0.014650, epoch loss=0.054283
Batch=419, step=22020, lr=0.108500, batch loss=0.013614, epoch loss=0.067896
Batch=479, step=22080, lr=0.108250, batch loss=0.003102, epoch loss=0.070999
Batch=539, step=22140, lr=0.108000, batch loss=0.016749, epoch loss=0.087748
Batch=599, step=22200, lr=0.107750, batch loss=0.015876, epoch loss=0.103623
Batch=659, step=22260, lr=0.107500, batch loss=0.011722, epoch loss=0.115346
Batch=719, step=22320, lr=0.107250, batch loss=0.016538, epoch loss=0.131883
Batch=779, step=22380, lr=0.107000, batch loss=0.025003, epoch loss=0.156887
Batch=839, step=22440, lr=0.106750, batch loss=0.027435, epoch loss=0.184322
Batch=899, step=22500, lr=0.106500, batch loss=0.024836, epoch loss=0.209158
Batch=959, step=22560, lr=0.106250, batch loss=0.009249, epoch loss=0.218407
Batch=1019, step=22620, lr=0.106000, batch loss=0.010061, epoch loss=0.228467
Batch=1079, step=22680, lr=0.105750, batch loss=0.001943, epoch loss=0.230411
Batch=1139, step=22740, lr=0.105250, batch loss=0.010974, epoch loss=0.241385
Batch=1199, step=22800, lr=0.105250, batch loss=0.005324, epoch loss=0.246709
Epoch=18, step=22800, lr=0.105250, epoch loss=0.246709
Batch=59, step=22860, lr=0.105000, batch loss=0.002802, epoch loss=0.002802
Batch=119, step=22920, lr=0.104500, batch loss=0.005307, epoch loss=0.008109
Batch=179, step=22980, lr=0.104250, batch loss=0.013415, epoch loss=0.021524
Batch=239, step=23040, lr=0.104000, batch loss=0.008462, epoch loss=0.029986
Batch=299, step=23100, lr=0.104000, batch loss=0.004413, epoch loss=0.034399
Batch=359, step=23160, lr=0.103500, batch loss=0.011841, epoch loss=0.046240
Batch=419, step=23220, lr=0.103250, batch loss=0.010293, epoch loss=0.056534
Batch=479, step=23280, lr=0.103250, batch loss=0.002738, epoch loss=0.059272
Batch=539, step=23340, lr=0.103000, batch loss=0.017150, epoch loss=0.076422
Batch=599, step=23400, lr=0.102750, batch loss=0.013622, epoch loss=0.090044
Batch=659, step=23460, lr=0.102500, batch loss=0.011313, epoch loss=0.101357
Batch=719, step=23520, lr=0.102250, batch loss=0.013637, epoch loss=0.114994
Batch=779, step=23580, lr=0.102000, batch loss=0.022757, epoch loss=0.137751
Batch=839, step=23640, lr=0.101750, batch loss=0.023158, epoch loss=0.160909
Batch=899, step=23700, lr=0.101500, batch loss=0.024299, epoch loss=0.185208
Batch=959, step=23760, lr=0.101250, batch loss=0.008165, epoch loss=0.193374
Batch=1019, step=23820, lr=0.101000, batch loss=0.007364, epoch loss=0.200738
Batch=1079, step=23880, lr=0.100750, batch loss=0.001209, epoch loss=0.201947
Batch=1139, step=23940, lr=0.100500, batch loss=0.008298, epoch loss=0.210245
Batch=1199, step=24000, lr=0.100250, batch loss=0.004276, epoch loss=0.214522
Epoch=19, step=24000, lr=0.100250, epoch loss=0.214522


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:35.11 ---> saved as "89c44ef61bbaf93d97074fe10199db7b469586718f3d271ec7a133b8eeffbf31"
Job succeeded
2025-03-20 22:35.12: Job succeeded