Organisations ahrefs ocannl 451f36 ()ubuntu-20.04-5.3_opam-2.3
ubuntu-20.04-5.3_opam-2.3

Created at Mar 20 22:51 +00:00
26s in queue
Finished at Mar 20 22:53 +00:00
451f36
Ran for 1m25s
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2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee
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 22:51.40: 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 22:51.40: 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 22:51.40: Waiting for resource in pool OCluster
2025-03-20 22:51.40: Waiting for worker…
2025-03-20 22:52.06: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings


(from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
2025-03-20 22:52.07 ---> 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 22:52.07 ---> 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 22:52.07 ---> 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 22:52.07 ---> using "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:52.07 ---> 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 22:52.07 ---> using "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:52.07 ---> using "f99b047404a4408af9056212933694e107a792c8ffdc61ba9ca8f890d212f0a0" 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)
2025-03-20 22:52.07 ---> using "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:52.07 ---> using "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425" from cache


/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) ...
- Selecting previously unselected package shared-mime-info.
- Preparing to unpack .../5-shared-mime-info_1.15-1_amd64.deb ...
- Unpacking shared-mime-info (1.15-1) ...
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- Selecting previously unselected package libffi-dev:amd64.
- 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 22:52.07 ---> using "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 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 22:52.07 ---> using "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:52.07 ---> saved as "d6b7e0ede2a8523afbfce9ce5833f992874aeff25cfaa774443192f394f2e2bb"


/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/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/e318799d4d91fe7fc2c9096d3dcbc2b7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/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=0.199750, 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=0.198750, batch loss=1.446818, epoch loss=37.063303
Batch=359, step=360, lr=0.198500, batch loss=1.335177, epoch loss=38.398480
Batch=419, step=420, lr=0.198250, batch loss=0.615040, epoch loss=39.013520
Batch=479, step=480, lr=0.198250, batch loss=0.793455, epoch loss=39.806975
Batch=539, step=540, lr=0.197750, batch loss=0.655134, epoch loss=40.462109
Batch=599, step=600, lr=0.197500, batch loss=1.081196, epoch loss=41.543305
Batch=659, step=660, lr=0.197250, batch loss=0.483166, epoch loss=42.026471
Batch=719, step=720, lr=0.197250, batch loss=0.412367, epoch loss=42.438838
Batch=779, step=780, lr=0.196750, batch loss=0.470824, epoch loss=42.909662
Batch=839, step=840, lr=0.196500, batch loss=0.445236, epoch loss=43.354897
Batch=899, step=900, lr=0.196250, batch loss=0.386137, epoch loss=43.741034
Batch=959, step=960, lr=0.196000, batch loss=0.243752, epoch loss=43.984787
Batch=1019, step=1020, lr=0.195750, batch loss=0.446423, epoch loss=44.431210
Batch=1079, step=1080, lr=0.195500, batch loss=0.250347, epoch loss=44.681557
Batch=1139, step=1140, lr=0.195250, batch loss=0.333887, epoch loss=45.015444
Batch=1199, step=1200, lr=0.195000, batch loss=0.264338, epoch loss=45.279782
Epoch=0, step=1200, lr=0.195000, epoch loss=45.279782
Batch=59, step=1260, lr=0.194750, batch loss=0.263432, epoch loss=0.263432
Batch=119, step=1320, lr=0.194500, batch loss=0.205384, epoch loss=0.468816
Batch=179, step=1380, lr=0.194250, batch loss=0.244448, epoch loss=0.713264
Batch=239, step=1440, lr=0.194000, batch loss=0.348074, epoch loss=1.061338
Batch=299, step=1500, lr=0.194000, batch loss=0.240146, epoch loss=1.301483
Batch=359, step=1560, lr=0.193750, batch loss=0.312765, epoch loss=1.614248
Batch=419, step=1620, lr=0.193250, batch loss=0.312468, epoch loss=1.926717
Batch=479, step=1680, lr=0.193000, batch loss=0.279427, epoch loss=2.206144
Batch=539, step=1740, lr=0.192750, batch loss=0.214842, epoch loss=2.420986
Batch=599, step=1800, lr=0.192500, batch loss=0.260182, epoch loss=2.681167
Batch=659, step=1860, lr=0.192250, batch loss=0.380306, epoch loss=3.061473
Batch=719, step=1920, lr=0.192250, batch loss=0.357543, epoch loss=3.419016
Batch=779, step=1980, lr=0.191750, batch loss=0.385349, epoch loss=3.804365
Batch=839, step=2040, lr=0.191500, batch loss=0.341954, epoch loss=4.146319
Batch=899, step=2100, lr=0.191250, batch loss=0.295869, epoch loss=4.442189
Batch=959, step=2160, lr=0.191000, batch loss=0.214922, epoch loss=4.657110
Batch=1019, step=2220, lr=0.190750, batch loss=0.333774, epoch loss=4.990885
Batch=1079, step=2280, lr=0.190500, batch loss=0.192550, epoch loss=5.183435
Batch=1139, step=2340, lr=0.190250, batch loss=0.257513, epoch loss=5.440948
Batch=1199, step=2400, lr=0.190250, batch loss=0.211276, epoch loss=5.652224
Epoch=1, step=2400, lr=0.190250, epoch loss=5.652224
Batch=59, step=2460, lr=0.189750, batch loss=0.229421, epoch loss=0.229421
Batch=119, step=2520, lr=0.189500, batch loss=0.199818, epoch loss=0.429239
Batch=179, step=2580, lr=0.189250, batch loss=0.219960, epoch loss=0.649199
Batch=239, step=2640, lr=0.189000, batch loss=0.329049, epoch loss=0.978248
Batch=299, step=2700, lr=0.188750, batch loss=0.213803, epoch loss=1.192051
Batch=359, step=2760, lr=0.188750, batch loss=0.297075, epoch loss=1.489125
Batch=419, step=2820, lr=0.188250, batch loss=0.287188, epoch loss=1.776313
Batch=479, step=2880, lr=0.188000, batch loss=0.261232, epoch loss=2.037545
Batch=539, step=2940, lr=0.188000, batch loss=0.197296, epoch loss=2.234841
Batch=599, step=3000, lr=0.187500, batch loss=0.240490, epoch loss=2.475331
Batch=659, step=3060, lr=0.187250, batch loss=0.348815, epoch loss=2.824146
Batch=719, step=3120, lr=0.187000, batch loss=0.348083, epoch loss=3.172229
Batch=779, step=3180, lr=0.186750, batch loss=0.367649, epoch loss=3.539878
Batch=839, step=3240, lr=0.186500, batch loss=0.323945, epoch loss=3.863823
Batch=899, step=3300, lr=0.186250, batch loss=0.287928, epoch loss=4.151751
Batch=959, step=3360, lr=0.186000, batch loss=0.213089, epoch loss=4.364840
Batch=1019, step=3420, lr=0.186000, batch loss=0.308896, epoch loss=4.673736
Batch=1079, step=3480, lr=0.185500, batch loss=0.189463, epoch loss=4.863198
Batch=1139, step=3540, lr=0.185500, batch loss=0.230259, epoch loss=5.093458
Batch=1199, step=3600, lr=0.185000, batch loss=0.199784, epoch loss=5.293242
Epoch=2, step=3600, lr=0.185000, epoch loss=5.293242
Batch=59, step=3660, lr=0.184750, batch loss=0.236784, epoch loss=0.236784
Batch=119, step=3720, lr=0.184750, batch loss=0.195934, epoch loss=0.432717
Batch=179, step=3780, lr=0.184250, batch loss=0.211482, epoch loss=0.644199
Batch=239, step=3840, lr=0.184250, batch loss=0.318286, epoch loss=0.962485
Batch=299, step=3900, lr=0.183750, batch loss=0.209627, epoch loss=1.172112
Batch=359, step=3960, lr=0.183500, batch loss=0.286545, epoch loss=1.458657
Batch=419, step=4020, lr=0.183250, batch loss=0.293443, epoch loss=1.752100
Batch=479, step=4080, lr=0.183250, batch loss=0.267010, epoch loss=2.019110
Batch=539, step=4140, lr=0.183000, batch loss=0.199507, epoch loss=2.218617
Batch=599, step=4200, lr=0.182500, batch loss=0.249907, epoch loss=2.468524
Batch=659, step=4260, lr=0.182250, batch loss=0.327074, epoch loss=2.795598
Batch=719, step=4320, lr=0.182000, batch loss=0.328254, epoch loss=3.123852
Batch=779, step=4380, lr=0.181750, batch loss=0.352013, epoch loss=3.475864
Batch=839, step=4440, lr=0.181500, batch loss=0.318773, epoch loss=3.794637
Batch=899, step=4500, lr=0.181250, batch loss=0.294523, epoch loss=4.089160
Batch=959, step=4560, lr=0.181250, batch loss=0.256491, epoch loss=4.345651
Batch=1019, step=4620, lr=0.181000, batch loss=0.370515, epoch loss=4.716166
Batch=1079, step=4680, lr=0.180750, batch loss=0.218696, epoch loss=4.934862
Batch=1139, step=4740, lr=0.180500, batch loss=0.252558, epoch loss=5.187420
Batch=1199, step=4800, lr=0.180000, batch loss=0.192031, epoch loss=5.379452
Epoch=3, step=4800, lr=0.180000, epoch loss=5.379452
Batch=59, step=4860, lr=0.180000, batch loss=0.229912, epoch loss=0.229912
Batch=119, step=4920, lr=0.179500, batch loss=0.189173, epoch loss=0.419085
Batch=179, step=4980, lr=0.179500, batch loss=0.206928, epoch loss=0.626013
Batch=239, step=5040, lr=0.179250, batch loss=0.310737, epoch loss=0.936750
Batch=299, step=5100, lr=0.178750, batch loss=0.212626, epoch loss=1.149376
Batch=359, step=5160, lr=0.178500, batch loss=0.282647, epoch loss=1.432023
Batch=419, step=5220, lr=0.178250, batch loss=0.276915, epoch loss=1.708938
Batch=479, step=5280, lr=0.178000, batch loss=0.245970, epoch loss=1.954908
Batch=539, step=5340, lr=0.178000, batch loss=0.188897, epoch loss=2.143805
Batch=599, step=5400, lr=0.177750, batch loss=0.232074, epoch loss=2.375880
Batch=659, step=5460, lr=0.177500, batch loss=0.324462, epoch loss=2.700342
Batch=719, step=5520, lr=0.177250, batch loss=0.322603, epoch loss=3.022945
Batch=779, step=5580, lr=0.177000, batch loss=0.343222, epoch loss=3.366167
Batch=839, step=5640, lr=0.176750, batch loss=0.311937, epoch loss=3.678105
Batch=899, step=5700, lr=0.176250, batch loss=0.271220, epoch loss=3.949325
Batch=959, step=5760, lr=0.176000, batch loss=0.221145, epoch loss=4.170470
Batch=1019, step=5820, lr=0.176000, batch loss=0.335633, epoch loss=4.506103
Batch=1079, step=5880, lr=0.175500, batch loss=0.190821, epoch loss=4.696924
Batch=1139, step=5940, lr=0.175250, batch loss=0.224840, epoch loss=4.921764
Batch=1199, step=6000, lr=0.175250, batch loss=0.189401, epoch loss=5.111165
Epoch=4, step=6000, lr=0.175250, epoch loss=5.111165
Batch=59, step=6060, lr=0.175000, batch loss=0.238376, epoch loss=0.238376
Batch=119, step=6120, lr=0.174750, batch loss=0.189634, epoch loss=0.428010
Batch=179, step=6180, lr=0.174500, batch loss=0.202120, epoch loss=0.630130
Batch=239, step=6240, lr=0.174000, batch loss=0.301741, epoch loss=0.931871
Batch=299, step=6300, lr=0.173750, batch loss=0.206421, epoch loss=1.138292
Batch=359, step=6360, lr=0.173750, batch loss=0.267780, epoch loss=1.406071
Batch=419, step=6420, lr=0.173500, batch loss=0.265594, epoch loss=1.671665
Batch=479, step=6480, lr=0.173000, batch loss=0.244606, epoch loss=1.916271
Batch=539, step=6540, lr=0.173000, batch loss=0.192211, epoch loss=2.108482
Batch=599, step=6600, lr=0.172500, batch loss=0.230468, epoch loss=2.338950
Batch=659, step=6660, lr=0.172500, batch loss=0.316492, epoch loss=2.655442
Batch=719, step=6720, lr=0.172250, batch loss=0.316518, epoch loss=2.971960
Batch=779, step=6780, lr=0.172000, batch loss=0.331990, epoch loss=3.303950
Batch=839, step=6840, lr=0.171750, batch loss=0.305909, epoch loss=3.609859
Batch=899, step=6900, lr=0.171500, batch loss=0.267286, epoch loss=3.877145
Batch=959, step=6960, lr=0.171000, batch loss=0.214697, epoch loss=4.091842
Batch=1019, step=7020, lr=0.171000, batch loss=0.324801, epoch loss=4.416643
Batch=1079, step=7080, lr=0.170500, batch loss=0.176952, epoch loss=4.593595
Batch=1139, step=7140, lr=0.170500, batch loss=0.214193, epoch loss=4.807787
Batch=1199, step=7200, lr=0.170250, batch loss=0.183643, epoch loss=4.991430
Epoch=5, step=7200, lr=0.170250, epoch loss=4.991430
Batch=59, step=7260, lr=0.170000, batch loss=0.240709, epoch loss=0.240709
Batch=119, step=7320, lr=0.169750, batch loss=0.180570, epoch loss=0.421278
Batch=179, step=7380, lr=0.169500, batch loss=0.195711, epoch loss=0.616989
Batch=239, step=7440, lr=0.169250, batch loss=0.292741, epoch loss=0.909730
Batch=299, step=7500, lr=0.169000, batch loss=0.204564, epoch loss=1.114294
Batch=359, step=7560, lr=0.168750, batch loss=0.265006, epoch loss=1.379299
Batch=419, step=7620, lr=0.168500, batch loss=0.260152, epoch loss=1.639452
Batch=479, step=7680, lr=0.168250, batch loss=0.235585, epoch loss=1.875037
Batch=539, step=7740, lr=0.168000, batch loss=0.191992, epoch loss=2.067030
Batch=599, step=7800, lr=0.167750, batch loss=0.229753, epoch loss=2.296783
Batch=659, step=7860, lr=0.167500, batch loss=0.305819, epoch loss=2.602602
Batch=719, step=7920, lr=0.167250, batch loss=0.310144, epoch loss=2.912747
Batch=779, step=7980, lr=0.167000, batch loss=0.330242, epoch loss=3.242988
Batch=839, step=8040, lr=0.166750, batch loss=0.292407, epoch loss=3.535395
Batch=899, step=8100, lr=0.166500, batch loss=0.264690, epoch loss=3.800085
Batch=959, step=8160, lr=0.166250, batch loss=0.197731, epoch loss=3.997816
Batch=1019, step=8220, lr=0.166000, batch loss=0.322590, epoch loss=4.320406
Batch=1079, step=8280, lr=0.165500, batch loss=0.179642, epoch loss=4.500048
Batch=1139, step=8340, lr=0.165500, batch loss=0.208984, epoch loss=4.709032
Batch=1199, step=8400, lr=0.165000, batch loss=0.181338, epoch loss=4.890370
Epoch=6, step=8400, lr=0.165000, epoch loss=4.890370
Batch=59, step=8460, lr=0.164750, batch loss=0.225729, epoch loss=0.225729
Batch=119, step=8520, lr=0.164500, batch loss=0.178494, epoch loss=0.404223
Batch=179, step=8580, lr=0.164250, batch loss=0.188948, epoch loss=0.593171
Batch=239, step=8640, lr=0.164250, batch loss=0.279336, epoch loss=0.872507
Batch=299, step=8700, lr=0.164000, batch loss=0.193093, epoch loss=1.065599
Batch=359, step=8760, lr=0.163500, batch loss=0.249874, epoch loss=1.315473
Batch=419, step=8820, lr=0.163500, batch loss=0.246669, epoch loss=1.562142
Batch=479, step=8880, lr=0.163250, batch loss=0.230436, epoch loss=1.792578
Batch=539, step=8940, lr=0.163000, batch loss=0.178762, epoch loss=1.971341
Batch=599, step=9000, lr=0.162500, batch loss=0.219381, epoch loss=2.190721
Batch=659, step=9060, lr=0.162250, batch loss=0.296062, epoch loss=2.486784
Batch=719, step=9120, lr=0.162000, batch loss=0.298979, epoch loss=2.785763
Batch=779, step=9180, lr=0.162000, batch loss=0.318065, epoch loss=3.103828
Batch=839, step=9240, lr=0.161500, batch loss=0.282870, epoch loss=3.386698
Batch=899, step=9300, lr=0.161250, batch loss=0.252776, epoch loss=3.639475
Batch=959, step=9360, lr=0.161250, batch loss=0.189625, epoch loss=3.829100
Batch=1019, step=9420, lr=0.161000, batch loss=0.319348, epoch loss=4.148448
Batch=1079, step=9480, lr=0.160750, batch loss=0.199006, epoch loss=4.347454
Batch=1139, step=9540, lr=0.160500, batch loss=0.213580, epoch loss=4.561034
Batch=1199, step=9600, lr=0.160250, batch loss=0.169107, epoch loss=4.730141
Epoch=7, step=9600, lr=0.160250, epoch loss=4.730141
Batch=59, step=9660, lr=0.160000, batch loss=0.213073, epoch loss=0.213073
Batch=119, step=9720, lr=0.159750, batch loss=0.171298, epoch loss=0.384371
Batch=179, step=9780, lr=0.159500, batch loss=0.180676, epoch loss=0.565047
Batch=239, step=9840, lr=0.159250, batch loss=0.263386, epoch loss=0.828433
Batch=299, step=9900, lr=0.159000, batch loss=0.184610, epoch loss=1.013042
Batch=359, step=9960, lr=0.158750, batch loss=0.241442, epoch loss=1.254484
Batch=419, step=10020, lr=0.158250, batch loss=0.235027, epoch loss=1.489512
Batch=479, step=10080, lr=0.158250, batch loss=0.215246, epoch loss=1.704758
Batch=539, step=10140, lr=0.158000, batch loss=0.171829, epoch loss=1.876587
Batch=599, step=10200, lr=0.157750, batch loss=0.202741, epoch loss=2.079327
Batch=659, step=10260, lr=0.157500, batch loss=0.284736, epoch loss=2.364063
Batch=719, step=10320, lr=0.157250, batch loss=0.281253, epoch loss=2.645316
Batch=779, step=10380, lr=0.157000, batch loss=0.302740, epoch loss=2.948057
Batch=839, step=10440, lr=0.156750, batch loss=0.273274, epoch loss=3.221331
Batch=899, step=10500, lr=0.156250, batch loss=0.241875, epoch loss=3.463206
Batch=959, step=10560, lr=0.156250, batch loss=0.198693, epoch loss=3.661898
Batch=1019, step=10620, lr=0.156000, batch loss=0.283977, epoch loss=3.945876
Batch=1079, step=10680, lr=0.155500, batch loss=0.169148, epoch loss=4.115024
Batch=1139, step=10740, lr=0.155500, batch loss=0.199411, epoch loss=4.314435
Batch=1199, step=10800, lr=0.155250, batch loss=0.156387, epoch loss=4.470822
Epoch=8, step=10800, lr=0.155250, epoch loss=4.470822
Batch=59, step=10860, lr=0.155000, batch loss=0.197507, epoch loss=0.197507
Batch=119, step=10920, lr=0.154750, batch loss=0.161879, epoch loss=0.359386
Batch=179, step=10980, lr=0.154250, batch loss=0.169962, epoch loss=0.529347
Batch=239, step=11040, lr=0.154250, batch loss=0.247821, epoch loss=0.777169
Batch=299, step=11100, lr=0.154000, batch loss=0.167874, epoch loss=0.945042
Batch=359, step=11160, lr=0.153750, batch loss=0.225058, epoch loss=1.170101
Batch=419, step=11220, lr=0.153500, batch loss=0.231072, epoch loss=1.401173
Batch=479, step=11280, lr=0.153250, batch loss=0.205074, epoch loss=1.606246
Batch=539, step=11340, lr=0.153000, batch loss=0.160552, epoch loss=1.766798
Batch=599, step=11400, lr=0.152750, batch loss=0.180950, epoch loss=1.947748
Batch=659, step=11460, lr=0.152500, batch loss=0.267825, epoch loss=2.215574
Batch=719, step=11520, lr=0.152250, batch loss=0.261716, epoch loss=2.477290
Batch=779, step=11580, lr=0.152000, batch loss=0.276332, epoch loss=2.753622
Batch=839, step=11640, lr=0.151750, batch loss=0.258787, epoch loss=3.012409
Batch=899, step=11700, lr=0.151500, batch loss=0.215622, epoch loss=3.228031
Batch=959, step=11760, lr=0.151250, batch loss=0.170479, epoch loss=3.398510
Batch=1019, step=11820, lr=0.151000, batch loss=0.267261, epoch loss=3.665770
Batch=1079, step=11880, lr=0.150500, batch loss=0.152390, epoch loss=3.818161
Batch=1139, step=11940, lr=0.150500, batch loss=0.186438, epoch loss=4.004599
Batch=1199, step=12000, lr=0.150250, batch loss=0.141614, epoch loss=4.146213
Epoch=9, step=12000, lr=0.150250, epoch loss=4.146213
Batch=59, step=12060, lr=0.150000, batch loss=0.161083, epoch loss=0.161083
Batch=119, step=12120, lr=0.149750, batch loss=0.130160, epoch loss=0.291244
Batch=179, step=12180, lr=0.149500, batch loss=0.154694, epoch loss=0.445937
Batch=239, step=12240, lr=0.149250, batch loss=0.225482, epoch loss=0.671419
Batch=299, step=12300, lr=0.149000, batch loss=0.145974, epoch loss=0.817393
Batch=359, step=12360, lr=0.148750, batch loss=0.199875, epoch loss=1.017269
Batch=419, step=12420, lr=0.148500, batch loss=0.208941, epoch loss=1.226210
Batch=479, step=12480, lr=0.148250, batch loss=0.182348, epoch loss=1.408558
Batch=539, step=12540, lr=0.148000, batch loss=0.144530, epoch loss=1.553088
Batch=599, step=12600, lr=0.147750, batch loss=0.154075, epoch loss=1.707162
Batch=659, step=12660, lr=0.147500, batch loss=0.227575, epoch loss=1.934738
Batch=719, step=12720, lr=0.147250, batch loss=0.236332, epoch loss=2.171070
Batch=779, step=12780, lr=0.147000, batch loss=0.258638, epoch loss=2.429708
Batch=839, step=12840, lr=0.146500, batch loss=0.226973, epoch loss=2.656681
Batch=899, step=12900, lr=0.146250, batch loss=0.189739, epoch loss=2.846419
Batch=959, step=12960, lr=0.146000, batch loss=0.153851, epoch loss=3.000270
Batch=1019, step=13020, lr=0.145750, batch loss=0.266827, epoch loss=3.267097
Batch=1079, step=13080, lr=0.145500, batch loss=0.116204, epoch loss=3.383301
Batch=1139, step=13140, lr=0.145250, batch loss=0.157476, epoch loss=3.540776
Batch=1199, step=13200, lr=0.145000, batch loss=0.120844, epoch loss=3.661620
Epoch=10, step=13200, lr=0.145000, epoch loss=3.661620
Batch=59, step=13260, lr=0.144750, batch loss=0.140533, epoch loss=0.140533
Batch=119, step=13320, lr=0.144500, batch loss=0.119138, epoch loss=0.259671
Batch=179, step=13380, lr=0.144500, batch loss=0.131146, epoch loss=0.390817
Batch=239, step=13440, lr=0.144250, batch loss=0.197814, epoch loss=0.588631
Batch=299, step=13500, lr=0.144000, batch loss=0.119339, epoch loss=0.707969
Batch=359, step=13560, lr=0.143750, batch loss=0.173067, epoch loss=0.881036
Batch=419, step=13620, lr=0.143250, batch loss=0.193424, epoch loss=1.074460
Batch=479, step=13680, lr=0.143250, batch loss=0.140930, epoch loss=1.215389
Batch=539, step=13740, lr=0.143000, batch loss=0.121086, epoch loss=1.336475
Batch=599, step=13800, lr=0.142500, batch loss=0.123748, epoch loss=1.460223
Batch=659, step=13860, lr=0.142500, batch loss=0.183279, epoch loss=1.643502
Batch=719, step=13920, lr=0.142250, batch loss=0.179828, epoch loss=1.823330
Batch=779, step=13980, lr=0.142000, batch loss=0.206824, epoch loss=2.030154
Batch=839, step=14040, lr=0.141750, batch loss=0.202008, epoch loss=2.232162
Batch=899, step=14100, lr=0.141500, batch loss=0.209663, epoch loss=2.441825
Batch=959, step=14160, lr=0.141250, batch loss=0.118221, epoch loss=2.560046
Batch=1019, step=14220, lr=0.141000, batch loss=0.201023, epoch loss=2.761070
Batch=1079, step=14280, lr=0.140750, batch loss=0.079027, epoch loss=2.840097
Batch=1139, step=14340, lr=0.140500, batch loss=0.119126, epoch loss=2.959223
Batch=1199, step=14400, lr=0.140250, batch loss=0.089383, epoch loss=3.048606
Epoch=11, step=14400, lr=0.140250, epoch loss=3.048606
Batch=59, step=14460, lr=0.140000, batch loss=0.113580, epoch loss=0.113580
Batch=119, step=14520, lr=0.139750, batch loss=0.114790, epoch loss=0.228369
Batch=179, step=14580, lr=0.139500, batch loss=0.106003, epoch loss=0.334373
Batch=239, step=14640, lr=0.139250, batch loss=0.146761, epoch loss=0.481134
Batch=299, step=14700, lr=0.139000, batch loss=0.082898, epoch loss=0.564032
Batch=359, step=14760, lr=0.138750, batch loss=0.122866, epoch loss=0.686897
Batch=419, step=14820, lr=0.138250, batch loss=0.126241, epoch loss=0.813138
Batch=479, step=14880, lr=0.138000, batch loss=0.113773, epoch loss=0.926912
Batch=539, step=14940, lr=0.138000, batch loss=0.117974, epoch loss=1.044886
Batch=599, step=15000, lr=0.137750, batch loss=0.089744, epoch loss=1.134630
Batch=659, step=15060, lr=0.137250, batch loss=0.134403, epoch loss=1.269032
Batch=719, step=15120, lr=0.137000, batch loss=0.125030, epoch loss=1.394062
Batch=779, step=15180, lr=0.137000, batch loss=0.140754, epoch loss=1.534815
Batch=839, step=15240, lr=0.136500, batch loss=0.161744, epoch loss=1.696560
Batch=899, step=15300, lr=0.136500, batch loss=0.223152, epoch loss=1.919712
Batch=959, step=15360, lr=0.136000, batch loss=0.061999, epoch loss=1.981712
Batch=1019, step=15420, lr=0.135750, batch loss=0.150296, epoch loss=2.132008
Batch=1079, step=15480, lr=0.135750, batch loss=0.065671, epoch loss=2.197679
Batch=1139, step=15540, lr=0.135500, batch loss=0.143338, epoch loss=2.341017
Batch=1199, step=15600, lr=0.135250, batch loss=0.063304, epoch loss=2.404321
Epoch=12, step=15600, lr=0.135250, epoch loss=2.404321
Batch=59, step=15660, lr=0.135000, batch loss=0.074500, epoch loss=0.074500
Batch=119, step=15720, lr=0.134750, batch loss=0.085382, epoch loss=0.159883
Batch=179, step=15780, lr=0.134500, batch loss=0.082835, epoch loss=0.242717
Batch=239, step=15840, lr=0.134000, batch loss=0.097234, epoch loss=0.339951
Batch=299, step=15900, lr=0.134000, batch loss=0.039961, epoch loss=0.379912
Batch=359, step=15960, lr=0.133750, batch loss=0.078217, epoch loss=0.458129
Batch=419, step=16020, lr=0.133250, batch loss=0.096432, epoch loss=0.554561
Batch=479, step=16080, lr=0.133250, batch loss=0.072952, epoch loss=0.627513
Batch=539, step=16140, lr=0.133000, batch loss=0.099141, epoch loss=0.726654
Batch=599, step=16200, lr=0.132750, batch loss=0.061895, epoch loss=0.788549
Batch=659, step=16260, lr=0.132500, batch loss=0.082176, epoch loss=0.870725
Batch=719, step=16320, lr=0.132000, batch loss=0.073594, epoch loss=0.944319
Batch=779, step=16380, lr=0.131750, batch loss=0.074758, epoch loss=1.019077
Batch=839, step=16440, lr=0.131750, batch loss=0.108076, epoch loss=1.127153
Batch=899, step=16500, lr=0.131500, batch loss=0.160530, epoch loss=1.287683
Batch=959, step=16560, lr=0.131250, batch loss=0.056305, epoch loss=1.343988
Batch=1019, step=16620, lr=0.131000, batch loss=0.154845, epoch loss=1.498833
Batch=1079, step=16680, lr=0.130750, batch loss=0.022432, epoch loss=1.521265
Batch=1139, step=16740, lr=0.130500, batch loss=0.049784, epoch loss=1.571049
Batch=1199, step=16800, lr=0.130250, batch loss=0.026964, epoch loss=1.598013
Epoch=13, step=16800, lr=0.130250, epoch loss=1.598013
Batch=59, step=16860, lr=0.130000, batch loss=0.032739, epoch loss=0.032739
Batch=119, step=16920, lr=0.129750, batch loss=0.045710, epoch loss=0.078449
Batch=179, step=16980, lr=0.129500, batch loss=0.046315, epoch loss=0.124764
Batch=239, step=17040, lr=0.129250, batch loss=0.062301, epoch loss=0.187065
Batch=299, step=17100, lr=0.129000, batch loss=0.030004, epoch loss=0.217069
Batch=359, step=17160, lr=0.128750, batch loss=0.050391, epoch loss=0.267460
Batch=419, step=17220, lr=0.128500, batch loss=0.092281, epoch loss=0.359740
Batch=479, step=17280, lr=0.128250, batch loss=0.027346, epoch loss=0.387086
Batch=539, step=17340, lr=0.128000, batch loss=0.029133, epoch loss=0.416219
Batch=599, step=17400, lr=0.127500, batch loss=0.036015, epoch loss=0.452234
Batch=659, step=17460, lr=0.127250, batch loss=0.049194, epoch loss=0.501429
Batch=719, step=17520, lr=0.127000, batch loss=0.064047, epoch loss=0.565476
Batch=779, step=17580, lr=0.127000, batch loss=0.067738, epoch loss=0.633213
Batch=839, step=17640, lr=0.126500, batch loss=0.104423, epoch loss=0.737637
Batch=899, step=17700, lr=0.126250, batch loss=0.054718, epoch loss=0.792355
Batch=959, step=17760, lr=0.126250, batch loss=0.019258, epoch loss=0.811613
Batch=1019, step=17820, lr=0.126000, batch loss=0.028078, epoch loss=0.839691
Batch=1079, step=17880, lr=0.125500, batch loss=0.024376, epoch loss=0.864066
Batch=1139, step=17940, lr=0.125250, batch loss=0.059135, epoch loss=0.923201
Batch=1199, step=18000, lr=0.125000, batch loss=0.019444, epoch loss=0.942646
Epoch=14, step=18000, lr=0.125000, epoch loss=0.942646
Batch=59, step=18060, lr=0.124750, batch loss=0.015033, epoch loss=0.015033
Batch=119, step=18120, lr=0.124750, batch loss=0.021974, epoch loss=0.037007
Batch=179, step=18180, lr=0.124500, batch loss=0.030955, epoch loss=0.067962
Batch=239, step=18240, lr=0.124250, batch loss=0.035070, epoch loss=0.103032
Batch=299, step=18300, lr=0.124000, batch loss=0.010277, epoch loss=0.113309
Batch=359, step=18360, lr=0.123750, batch loss=0.028236, epoch loss=0.141545
Batch=419, step=18420, lr=0.123500, batch loss=0.031213, epoch loss=0.172758
Batch=479, step=18480, lr=0.123250, batch loss=0.015854, epoch loss=0.188612
Batch=539, step=18540, lr=0.123000, batch loss=0.042018, epoch loss=0.230630
Batch=599, step=18600, lr=0.122750, batch loss=0.071388, epoch loss=0.302018
Batch=659, step=18660, lr=0.122500, batch loss=0.036806, epoch loss=0.338824
Batch=719, step=18720, lr=0.122250, batch loss=0.041611, epoch loss=0.380435
Batch=779, step=18780, lr=0.122000, batch loss=0.109837, epoch loss=0.490272
Batch=839, step=18840, lr=0.121750, batch loss=0.063539, epoch loss=0.553812
Batch=899, step=18900, lr=0.121250, batch loss=0.080711, epoch loss=0.634523
Batch=959, step=18960, lr=0.121000, batch loss=0.014673, epoch loss=0.649195
Batch=1019, step=19020, lr=0.120750, batch loss=0.018619, epoch loss=0.667815
Batch=1079, step=19080, lr=0.120500, batch loss=0.005677, epoch loss=0.673491
Batch=1139, step=19140, lr=0.120250, batch loss=0.026134, epoch loss=0.699625
Batch=1199, step=19200, lr=0.120000, batch loss=0.011161, epoch loss=0.710786
Epoch=15, step=19200, lr=0.120000, epoch loss=0.710786
Batch=59, step=19260, lr=0.119750, batch loss=0.006306, epoch loss=0.006306
Batch=119, step=19320, lr=0.119500, batch loss=0.016908, epoch loss=0.023213
Batch=179, step=19380, lr=0.119250, batch loss=0.046850, epoch loss=0.070063
Batch=239, step=19440, lr=0.119000, batch loss=0.022715, epoch loss=0.092778
Batch=299, step=19500, lr=0.119000, batch loss=0.012314, epoch loss=0.105092
Batch=359, step=19560, lr=0.118750, batch loss=0.023396, epoch loss=0.128489
Batch=419, step=19620, lr=0.118500, batch loss=0.020756, epoch loss=0.149244
Batch=479, step=19680, lr=0.118000, batch loss=0.007608, epoch loss=0.156852
Batch=539, step=19740, lr=0.117750, batch loss=0.024602, epoch loss=0.181453
Batch=599, step=19800, lr=0.117500, batch loss=0.028191, epoch loss=0.209645
Batch=659, step=19860, lr=0.117500, batch loss=0.016722, epoch loss=0.226367
Batch=719, step=19920, lr=0.117000, batch loss=0.034647, epoch loss=0.261013
Batch=779, step=19980, lr=0.116750, batch loss=0.064987, epoch loss=0.326000
Batch=839, step=20040, lr=0.116750, batch loss=0.032170, epoch loss=0.358171
Batch=899, step=20100, lr=0.116500, batch loss=0.029767, epoch loss=0.387937
Batch=959, step=20160, lr=0.116000, batch loss=0.013669, epoch loss=0.401606
Batch=1019, step=20220, lr=0.116000, batch loss=0.021968, epoch loss=0.423574
Batch=1079, step=20280, lr=0.115500, batch loss=0.004043, epoch loss=0.427617
Batch=1139, step=20340, lr=0.115250, batch loss=0.016576, epoch loss=0.444192
Batch=1199, step=20400, lr=0.115000, batch loss=0.006707, epoch loss=0.450899
Epoch=16, step=20400, lr=0.115000, epoch loss=0.450899
Batch=59, step=20460, lr=0.115000, batch loss=0.003542, epoch loss=0.003542
Batch=119, step=20520, lr=0.114750, batch loss=0.009626, epoch loss=0.013168
Batch=179, step=20580, lr=0.114500, batch loss=0.022352, epoch loss=0.035520
Batch=239, step=20640, lr=0.114250, batch loss=0.018219, epoch loss=0.053739
Batch=299, step=20700, lr=0.113750, batch loss=0.005750, epoch loss=0.059489
Batch=359, step=20760, lr=0.113750, batch loss=0.013673, epoch loss=0.073162
Batch=419, step=20820, lr=0.113250, batch loss=0.014553, epoch loss=0.087716
Batch=479, step=20880, lr=0.113250, batch loss=0.004677, epoch loss=0.092392
Batch=539, step=20940, lr=0.112750, batch loss=0.015426, epoch loss=0.107818
Batch=599, step=21000, lr=0.112750, batch loss=0.019169, epoch loss=0.126987
Batch=659, step=21060, lr=0.112250, batch loss=0.013860, epoch loss=0.140847
Batch=719, step=21120, lr=0.112000, batch loss=0.038482, epoch loss=0.179329
Batch=779, step=21180, lr=0.112000, batch loss=0.070998, epoch loss=0.250327
Batch=839, step=21240, lr=0.111750, batch loss=0.026153, epoch loss=0.276480
Batch=899, step=21300, lr=0.111250, batch loss=0.030546, epoch loss=0.307027
Batch=959, step=21360, lr=0.111000, batch loss=0.010654, epoch loss=0.317681
Batch=1019, step=21420, lr=0.111000, batch loss=0.012966, epoch loss=0.330647
Batch=1079, step=21480, lr=0.110750, batch loss=0.001706, epoch loss=0.332353
Batch=1139, step=21540, lr=0.110500, batch loss=0.012840, epoch loss=0.345192
Batch=1199, step=21600, lr=0.110000, batch loss=0.005215, epoch loss=0.350407
Epoch=17, step=21600, lr=0.110000, epoch loss=0.350407
Batch=59, step=21660, lr=0.109750, batch loss=0.001896, epoch loss=0.001896
Batch=119, step=21720, lr=0.109750, batch loss=0.007330, epoch loss=0.009226
Batch=179, step=21780, lr=0.109250, batch loss=0.013098, epoch loss=0.022324
Batch=239, step=21840, lr=0.109000, batch loss=0.010176, epoch loss=0.032500
Batch=299, step=21900, lr=0.108750, batch loss=0.008930, epoch loss=0.041430
Batch=359, step=21960, lr=0.108500, batch loss=0.016747, epoch loss=0.058177
Batch=419, step=22020, lr=0.108250, batch loss=0.012683, epoch loss=0.070860
Batch=479, step=22080, lr=0.108000, batch loss=0.002712, epoch loss=0.073572
Batch=539, step=22140, lr=0.107750, batch loss=0.019288, epoch loss=0.092860
Batch=599, step=22200, lr=0.107500, batch loss=0.018857, epoch loss=0.111717
Batch=659, step=22260, lr=0.107250, batch loss=0.012980, epoch loss=0.124697
Batch=719, step=22320, lr=0.107250, batch loss=0.022392, epoch loss=0.147088
Batch=779, step=22380, lr=0.106750, batch loss=0.030691, epoch loss=0.177779
Batch=839, step=22440, lr=0.106750, batch loss=0.029541, epoch loss=0.207320
Batch=899, step=22500, lr=0.106250, batch loss=0.024842, epoch loss=0.232163
Batch=959, step=22560, lr=0.106000, batch loss=0.008951, epoch loss=0.241114
Batch=1019, step=22620, lr=0.105750, batch loss=0.007457, epoch loss=0.248570
Batch=1079, step=22680, lr=0.105500, batch loss=0.002324, epoch loss=0.250895
Batch=1139, step=22740, lr=0.105250, batch loss=0.011359, epoch loss=0.262254
Batch=1199, step=22800, lr=0.105250, batch loss=0.005094, epoch loss=0.267347
Epoch=18, step=22800, lr=0.105250, epoch loss=0.267347
Batch=59, step=22860, lr=0.104750, batch loss=0.002054, epoch loss=0.002054
Batch=119, step=22920, lr=0.104500, batch loss=0.005683, epoch loss=0.007737
Batch=179, step=22980, lr=0.104500, batch loss=0.011316, epoch loss=0.019054
Batch=239, step=23040, lr=0.104250, batch loss=0.008677, epoch loss=0.027731
Batch=299, step=23100, lr=0.104000, batch loss=0.008874, epoch loss=0.036605
Batch=359, step=23160, lr=0.103750, batch loss=0.013121, epoch loss=0.049725
Batch=419, step=23220, lr=0.103250, batch loss=0.011493, epoch loss=0.061219
Batch=479, step=23280, lr=0.103000, batch loss=0.004172, epoch loss=0.065390
Batch=539, step=23340, lr=0.103000, batch loss=0.013809, epoch loss=0.079200
Batch=599, step=23400, lr=0.102500, batch loss=0.014732, epoch loss=0.093932
Batch=659, step=23460, lr=0.102250, batch loss=0.012961, epoch loss=0.106892
Batch=719, step=23520, lr=0.102000, batch loss=0.016775, epoch loss=0.123667
Batch=779, step=23580, lr=0.102000, batch loss=0.021404, epoch loss=0.145071
Batch=839, step=23640, lr=0.101750, batch loss=0.025265, epoch loss=0.170336
Batch=899, step=23700, lr=0.101500, batch loss=0.024500, epoch loss=0.194836
Batch=959, step=23760, lr=0.101250, batch loss=0.007995, epoch loss=0.202831
Batch=1019, step=23820, lr=0.101000, batch loss=0.007676, epoch loss=0.210507
Batch=1079, step=23880, lr=0.100750, batch loss=0.000745, epoch loss=0.211251
Batch=1139, step=23940, lr=0.100500, batch loss=0.009172, epoch loss=0.220423
Batch=1199, step=24000, lr=0.100250, batch loss=0.004460, epoch loss=0.224883
Epoch=19, step=24000, lr=0.100250, epoch loss=0.224883


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:53.30 ---> saved as "d5572fdaf7764e8adb77fe66d920f154bc18e47fde1f7cfe104cce31c33134e1"
Job succeeded
2025-03-20 22:53.31: Job succeeded