Organisations ahrefs ocannl 151162 ()ubuntu-20.04-5.3_opam-2.3
ubuntu-20.04-5.3_opam-2.3

Created at Mar 21 16:19 +00:00
10s in queue
Finished at Mar 21 16:31 +00:00
151162
Ran for 11m22s
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2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (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 15116260
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


2025-03-21 16:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195-ubuntu-20.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 16:19.55: 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"))
)


2025-03-21 16:19.55: Waiting for resource in pool OCluster
2025-03-21 16:19.55: Waiting for worker…
2025-03-21 16:20.05: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions


(from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
2025-03-21 16:20.51 ---> saved as "d6a86a5fa580a511bc47b9f81c505c664d6b1fdcbe9f7d39069ac2ba53948f98"


/: (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"))
2025-03-21 16:20.52 ---> saved as "e4c559ecd8860c61f49fce7cdb885f97ef6263360730db125d45927dd3160847"


/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
2025-03-21 16:22.48 ---> saved as "9ff49ff109128f81f17ecaa56bc121fa8be57aeb2ced8b0a9487d633ee898d4a"


/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
2025-03-21 16:22.49 ---> saved as "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 16:22.49 ---> saved as "e976b87820c4a8df89b999905db18252fae5f37ebe74ccfae6ed3810af338a29"


/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..acfb0e6e94  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)
2025-03-21 16:24.37 ---> saved as "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 16:24.37 ---> 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)
2025-03-21 16:24.47 ---> saved as "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 16:24.48 ---> 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"
- Hit:1 http://archive.ubuntu.com/ubuntu focal InRelease
- Get:2 http://security.ubuntu.com/ubuntu focal-security InRelease [128 kB]
- Get:3 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB]
- Get:4 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB]
- Get:5 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB]
- Get:6 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB]
- Get:7 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB]
- Get:8 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB]
- Get:9 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB]
- Get:10 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB]
- Get:11 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB]
- Get:12 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB]
- Fetched 21.5 MB in 3s (6646 kB/s)
- Reading package lists...
- 


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


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-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 ... 
(Reading database ... 5%
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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) ...
- Selecting previously unselected package xdg-user-dirs.
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- Unpacking xdg-user-dirs (0.17-2ubuntu1) ...
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- Unpacking pkg-config (0.29.1-0ubuntu4) ...
- 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:      Fri Mar 21 16:25:44 GMT 2025.
- Universal Time is now:  Fri Mar 21 16:25:44 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) ...
2025-03-21 16:25.45 ---> 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 angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed 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_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.12.0
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> 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 uucp.16.0.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> 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)
2025-03-21 16:30.41 ---> saved as "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5"


/src: (copy (src .) (dst /src))
2025-03-21 16:30.42 ---> saved as "708c4f824078b34cbb256e5b649c7c99d9d718d4ef22d25d5624d1e11dc7082d"


/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/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/570388781b612923647f983bc185cc89/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ab66d5b98ca56360344867dc51da7ef7/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/ab66d5b98ca56360344867dc51da7ef7/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=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164250, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278200, epoch loss=0.870758
Batch=299, step=8700, lr=0.164000, batch loss=0.192005, epoch loss=1.062764
Batch=359, step=8760, lr=0.163750, batch loss=0.248622, epoch loss=1.311386
Batch=419, step=8820, lr=0.163250, batch loss=0.245612, epoch loss=1.556997
Batch=479, step=8880, lr=0.163000, batch loss=0.228527, epoch loss=1.785525
Batch=539, step=8940, lr=0.163000, batch loss=0.178145, epoch loss=1.963669
Batch=599, step=9000, lr=0.162750, batch loss=0.217384, epoch loss=2.181054
Batch=659, step=9060, lr=0.162500, batch loss=0.294823, epoch loss=2.475877
Batch=719, step=9120, lr=0.162000, batch loss=0.296423, epoch loss=2.772300
Batch=779, step=9180, lr=0.162000, batch loss=0.316670, epoch loss=3.088970
Batch=839, step=9240, lr=0.161750, batch loss=0.287298, epoch loss=3.376268
Batch=899, step=9300, lr=0.161500, batch loss=0.251018, epoch loss=3.627285
Batch=959, step=9360, lr=0.161000, batch loss=0.190627, epoch loss=3.817912
Batch=1019, step=9420, lr=0.161000, batch loss=0.311342, epoch loss=4.129254
Batch=1079, step=9480, lr=0.160750, batch loss=0.191959, epoch loss=4.321213
Batch=1139, step=9540, lr=0.160500, batch loss=0.215569, epoch loss=4.536782
Batch=1199, step=9600, lr=0.160250, batch loss=0.165601, epoch loss=4.702382
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702382
Batch=59, step=9660, lr=0.160000, batch loss=0.197412, epoch loss=0.197412
Batch=119, step=9720, lr=0.159750, batch loss=0.165334, epoch loss=0.362746
Batch=179, step=9780, lr=0.159500, batch loss=0.179278, epoch loss=0.542024
Batch=239, step=9840, lr=0.159250, batch loss=0.263227, epoch loss=0.805251
Batch=299, step=9900, lr=0.159000, batch loss=0.182963, epoch loss=0.988214
Batch=359, step=9960, lr=0.158750, batch loss=0.240090, epoch loss=1.228305
Batch=419, step=10020, lr=0.158500, batch loss=0.232772, epoch loss=1.461077
Batch=479, step=10080, lr=0.158250, batch loss=0.213366, epoch loss=1.674443
Batch=539, step=10140, lr=0.158000, batch loss=0.170289, epoch loss=1.844731
Batch=599, step=10200, lr=0.157500, batch loss=0.200457, epoch loss=2.045188
Batch=659, step=10260, lr=0.157500, batch loss=0.282885, epoch loss=2.328073
Batch=719, step=10320, lr=0.157250, batch loss=0.280088, epoch loss=2.608160
Batch=779, step=10380, lr=0.156750, batch loss=0.300443, epoch loss=2.908604
Batch=839, step=10440, lr=0.156750, batch loss=0.271228, epoch loss=3.179831
Batch=899, step=10500, lr=0.156500, batch loss=0.239533, epoch loss=3.419364
Batch=959, step=10560, lr=0.156250, batch loss=0.198566, epoch loss=3.617930
Batch=1019, step=10620, lr=0.156000, batch loss=0.293190, epoch loss=3.911121
Batch=1079, step=10680, lr=0.155750, batch loss=0.180346, epoch loss=4.091467
Batch=1139, step=10740, lr=0.155500, batch loss=0.203425, epoch loss=4.294892
Batch=1199, step=10800, lr=0.155250, batch loss=0.154598, epoch loss=4.449490
Epoch=8, step=10800, lr=0.155250, epoch loss=4.449490
Batch=59, step=10860, lr=0.155000, batch loss=0.176742, epoch loss=0.176742
Batch=119, step=10920, lr=0.154750, batch loss=0.151755, epoch loss=0.328497
Batch=179, step=10980, lr=0.154500, batch loss=0.167237, epoch loss=0.495734
Batch=239, step=11040, lr=0.154250, batch loss=0.248630, epoch loss=0.744364
Batch=299, step=11100, lr=0.154000, batch loss=0.164599, epoch loss=0.908963
Batch=359, step=11160, lr=0.153750, batch loss=0.225219, epoch loss=1.134183
Batch=419, step=11220, lr=0.153500, batch loss=0.229366, epoch loss=1.363549
Batch=479, step=11280, lr=0.153250, batch loss=0.203144, epoch loss=1.566692
Batch=539, step=11340, lr=0.153000, batch loss=0.159881, epoch loss=1.726574
Batch=599, step=11400, lr=0.152750, batch loss=0.183598, epoch loss=1.910172
Batch=659, step=11460, lr=0.152500, batch loss=0.263533, epoch loss=2.173705
Batch=719, step=11520, lr=0.152250, batch loss=0.256816, epoch loss=2.430521
Batch=779, step=11580, lr=0.152000, batch loss=0.272400, epoch loss=2.702921
Batch=839, step=11640, lr=0.151750, batch loss=0.255763, epoch loss=2.958684
Batch=899, step=11700, lr=0.151500, batch loss=0.212973, epoch loss=3.171658
Batch=959, step=11760, lr=0.151250, batch loss=0.169381, epoch loss=3.341038
Batch=1019, step=11820, lr=0.151000, batch loss=0.264999, epoch loss=3.606037
Batch=1079, step=11880, lr=0.150750, batch loss=0.151824, epoch loss=3.757861
Batch=1139, step=11940, lr=0.150500, batch loss=0.184684, epoch loss=3.942545
Batch=1199, step=12000, lr=0.150250, batch loss=0.139447, epoch loss=4.081993
Epoch=9, step=12000, lr=0.150250, epoch loss=4.081993
Batch=59, step=12060, lr=0.150000, batch loss=0.158461, epoch loss=0.158461
Batch=119, step=12120, lr=0.149750, batch loss=0.127594, epoch loss=0.286055
Batch=179, step=12180, lr=0.149500, batch loss=0.151628, epoch loss=0.437684
Batch=239, step=12240, lr=0.149250, batch loss=0.219174, epoch loss=0.656858
Batch=299, step=12300, lr=0.149000, batch loss=0.139609, epoch loss=0.796467
Batch=359, step=12360, lr=0.148750, batch loss=0.197633, epoch loss=0.994101
Batch=419, step=12420, lr=0.148500, batch loss=0.210912, epoch loss=1.205013
Batch=479, step=12480, lr=0.148250, batch loss=0.174531, epoch loss=1.379544
Batch=539, step=12540, lr=0.148000, batch loss=0.145823, epoch loss=1.525366
Batch=599, step=12600, lr=0.147750, batch loss=0.153334, epoch loss=1.678701
Batch=659, step=12660, lr=0.147500, batch loss=0.235754, epoch loss=1.914455
Batch=719, step=12720, lr=0.147250, batch loss=0.233326, epoch loss=2.147780
Batch=779, step=12780, lr=0.147000, batch loss=0.254767, epoch loss=2.402547
Batch=839, step=12840, lr=0.146750, batch loss=0.232983, epoch loss=2.635530
Batch=899, step=12900, lr=0.146500, batch loss=0.213801, epoch loss=2.849331
Batch=959, step=12960, lr=0.146250, batch loss=0.155862, epoch loss=3.005193
Batch=1019, step=13020, lr=0.146000, batch loss=0.259353, epoch loss=3.264546
Batch=1079, step=13080, lr=0.145750, batch loss=0.114729, epoch loss=3.379275
Batch=1139, step=13140, lr=0.145500, batch loss=0.155130, epoch loss=3.534405
Batch=1199, step=13200, lr=0.145250, batch loss=0.118138, epoch loss=3.652543
Epoch=10, step=13200, lr=0.145250, epoch loss=3.652543
Batch=59, step=13260, lr=0.145000, batch loss=0.143585, epoch loss=0.143585
Batch=119, step=13320, lr=0.144750, batch loss=0.120301, epoch loss=0.263885
Batch=179, step=13380, lr=0.144500, batch loss=0.127829, epoch loss=0.391714
Batch=239, step=13440, lr=0.144250, batch loss=0.188616, epoch loss=0.580330
Batch=299, step=13500, lr=0.144000, batch loss=0.115208, epoch loss=0.695538
Batch=359, step=13560, lr=0.143750, batch loss=0.160144, epoch loss=0.855682
Batch=419, step=13620, lr=0.143500, batch loss=0.160917, epoch loss=1.016598
Batch=479, step=13680, lr=0.143250, batch loss=0.147721, epoch loss=1.164320
Batch=539, step=13740, lr=0.143000, batch loss=0.118245, epoch loss=1.282565
Batch=599, step=13800, lr=0.142750, batch loss=0.120585, epoch loss=1.403150
Batch=659, step=13860, lr=0.142500, batch loss=0.176815, epoch loss=1.579965
Batch=719, step=13920, lr=0.142250, batch loss=0.173762, epoch loss=1.753727
Batch=779, step=13980, lr=0.142000, batch loss=0.188575, epoch loss=1.942302
Batch=839, step=14040, lr=0.141750, batch loss=0.195099, epoch loss=2.137401
Batch=899, step=14100, lr=0.141500, batch loss=0.208102, epoch loss=2.345503
Batch=959, step=14160, lr=0.141250, batch loss=0.111530, epoch loss=2.457033
Batch=1019, step=14220, lr=0.141000, batch loss=0.197873, epoch loss=2.654906
Batch=1079, step=14280, lr=0.140750, batch loss=0.080197, epoch loss=2.735103
Batch=1139, step=14340, lr=0.140500, batch loss=0.127393, epoch loss=2.862496
Batch=1199, step=14400, lr=0.140250, batch loss=0.087578, epoch loss=2.950074
Epoch=11, step=14400, lr=0.140250, epoch loss=2.950074
Batch=59, step=14460, lr=0.140000, batch loss=0.102792, epoch loss=0.102792
Batch=119, step=14520, lr=0.139750, batch loss=0.100524, epoch loss=0.203315
Batch=179, step=14580, lr=0.139500, batch loss=0.099269, epoch loss=0.302585
Batch=239, step=14640, lr=0.139250, batch loss=0.143848, epoch loss=0.446433
Batch=299, step=14700, lr=0.139000, batch loss=0.073762, epoch loss=0.520195
Batch=359, step=14760, lr=0.138750, batch loss=0.123774, epoch loss=0.643969
Batch=419, step=14820, lr=0.138500, batch loss=0.130874, epoch loss=0.774843
Batch=479, step=14880, lr=0.138250, batch loss=0.101237, epoch loss=0.876080
Batch=539, step=14940, lr=0.138000, batch loss=0.110354, epoch loss=0.986434
Batch=599, step=15000, lr=0.137750, batch loss=0.085709, epoch loss=1.072143
Batch=659, step=15060, lr=0.137500, batch loss=0.142190, epoch loss=1.214334
Batch=719, step=15120, lr=0.137250, batch loss=0.165824, epoch loss=1.380158
Batch=779, step=15180, lr=0.137000, batch loss=0.283553, epoch loss=1.663711
Batch=839, step=15240, lr=0.136750, batch loss=0.137627, epoch loss=1.801338
Batch=899, step=15300, lr=0.136500, batch loss=0.153787, epoch loss=1.955125
Batch=959, step=15360, lr=0.136250, batch loss=0.068473, epoch loss=2.023597
Batch=1019, step=15420, lr=0.136000, batch loss=0.153673, epoch loss=2.177270
Batch=1079, step=15480, lr=0.135750, batch loss=0.048704, epoch loss=2.225974
Batch=1139, step=15540, lr=0.135500, batch loss=0.102338, epoch loss=2.328312
Batch=1199, step=15600, lr=0.135250, batch loss=0.061496, epoch loss=2.389808
Epoch=12, step=15600, lr=0.135250, epoch loss=2.389808
Batch=59, step=15660, lr=0.135000, batch loss=0.082394, epoch loss=0.082394
Batch=119, step=15720, lr=0.134750, batch loss=0.125873, epoch loss=0.208267
Batch=179, step=15780, lr=0.134500, batch loss=0.095731, epoch loss=0.303999
Batch=239, step=15840, lr=0.134250, batch loss=0.098153, epoch loss=0.402152
Batch=299, step=15900, lr=0.134000, batch loss=0.040210, epoch loss=0.442362
Batch=359, step=15960, lr=0.133750, batch loss=0.085208, epoch loss=0.527569
Batch=419, step=16020, lr=0.133500, batch loss=0.081244, epoch loss=0.608813
Batch=479, step=16080, lr=0.133250, batch loss=0.054968, epoch loss=0.663782
Batch=539, step=16140, lr=0.133000, batch loss=0.072369, epoch loss=0.736150
Batch=599, step=16200, lr=0.132750, batch loss=0.168089, epoch loss=0.904239
Batch=659, step=16260, lr=0.132500, batch loss=0.097090, epoch loss=1.001329
Batch=719, step=16320, lr=0.132250, batch loss=0.126374, epoch loss=1.127703
Batch=779, step=16380, lr=0.132000, batch loss=0.284887, epoch loss=1.412590
Batch=839, step=16440, lr=0.131750, batch loss=0.094179, epoch loss=1.506769
Batch=899, step=16500, lr=0.131500, batch loss=0.080207, epoch loss=1.586976
Batch=959, step=16560, lr=0.131250, batch loss=0.032598, epoch loss=1.619574
Batch=1019, step=16620, lr=0.131000, batch loss=0.064345, epoch loss=1.683918
Batch=1079, step=16680, lr=0.130750, batch loss=0.053107, epoch loss=1.737025
Batch=1139, step=16740, lr=0.130500, batch loss=0.096821, epoch loss=1.833846
Batch=1199, step=16800, lr=0.130250, batch loss=0.048342, epoch loss=1.882188
Epoch=13, step=16800, lr=0.130250, epoch loss=1.882188
Batch=59, step=16860, lr=0.130000, batch loss=0.035480, epoch loss=0.035480
Batch=119, step=16920, lr=0.129750, batch loss=0.035125, epoch loss=0.070605
Batch=179, step=16980, lr=0.129500, batch loss=0.043607, epoch loss=0.114212
Batch=239, step=17040, lr=0.129250, batch loss=0.063197, epoch loss=0.177410
Batch=299, step=17100, lr=0.129000, batch loss=0.031126, epoch loss=0.208535
Batch=359, step=17160, lr=0.128750, batch loss=0.046280, epoch loss=0.254815
Batch=419, step=17220, lr=0.128500, batch loss=0.065832, epoch loss=0.320647
Batch=479, step=17280, lr=0.128250, batch loss=0.023789, epoch loss=0.344436
Batch=539, step=17340, lr=0.128000, batch loss=0.027968, epoch loss=0.372404
Batch=599, step=17400, lr=0.127750, batch loss=0.040084, epoch loss=0.412489
Batch=659, step=17460, lr=0.127500, batch loss=0.056288, epoch loss=0.468777
Batch=719, step=17520, lr=0.127250, batch loss=0.066692, epoch loss=0.535468
Batch=779, step=17580, lr=0.127000, batch loss=0.062944, epoch loss=0.598413
Batch=839, step=17640, lr=0.126750, batch loss=0.091566, epoch loss=0.689978
Batch=899, step=17700, lr=0.126500, batch loss=0.052785, epoch loss=0.742764
Batch=959, step=17760, lr=0.126250, batch loss=0.019813, epoch loss=0.762577
Batch=1019, step=17820, lr=0.126000, batch loss=0.028525, epoch loss=0.791102
Batch=1079, step=17880, lr=0.125750, batch loss=0.022402, epoch loss=0.813505
Batch=1139, step=17940, lr=0.125500, batch loss=0.060558, epoch loss=0.874063
Batch=1199, step=18000, lr=0.125250, batch loss=0.020796, epoch loss=0.894859
Epoch=14, step=18000, lr=0.125250, epoch loss=0.894859
Batch=59, step=18060, lr=0.125000, batch loss=0.013726, epoch loss=0.013726
Batch=119, step=18120, lr=0.124750, batch loss=0.018288, epoch loss=0.032014
Batch=179, step=18180, lr=0.124500, batch loss=0.029711, epoch loss=0.061726
Batch=239, step=18240, lr=0.124250, batch loss=0.035421, epoch loss=0.097147
Batch=299, step=18300, lr=0.124000, batch loss=0.014948, epoch loss=0.112094
Batch=359, step=18360, lr=0.123750, batch loss=0.023439, epoch loss=0.135534
Batch=419, step=18420, lr=0.123500, batch loss=0.027588, epoch loss=0.163122
Batch=479, step=18480, lr=0.123250, batch loss=0.022089, epoch loss=0.185211
Batch=539, step=18540, lr=0.123000, batch loss=0.048401, epoch loss=0.233611
Batch=599, step=18600, lr=0.122750, batch loss=0.026202, epoch loss=0.259814
Batch=659, step=18660, lr=0.122500, batch loss=0.036028, epoch loss=0.295842
Batch=719, step=18720, lr=0.122250, batch loss=0.036165, epoch loss=0.332007
Batch=779, step=18780, lr=0.122000, batch loss=0.081287, epoch loss=0.413294
Batch=839, step=18840, lr=0.121750, batch loss=0.055132, epoch loss=0.468426
Batch=899, step=18900, lr=0.121500, batch loss=0.049988, epoch loss=0.518414
Batch=959, step=18960, lr=0.121250, batch loss=0.014747, epoch loss=0.533161
Batch=1019, step=19020, lr=0.121000, batch loss=0.022707, epoch loss=0.555869
Batch=1079, step=19080, lr=0.120750, batch loss=0.011365, epoch loss=0.567233
Batch=1139, step=19140, lr=0.120500, batch loss=0.026154, epoch loss=0.593387
Batch=1199, step=19200, lr=0.120250, batch loss=0.010540, epoch loss=0.603927
Epoch=15, step=19200, lr=0.120250, epoch loss=0.603927
Batch=59, step=19260, lr=0.120000, batch loss=0.007724, epoch loss=0.007724
Batch=119, step=19320, lr=0.119750, batch loss=0.041270, epoch loss=0.048994
Batch=179, step=19380, lr=0.119500, batch loss=0.101348, epoch loss=0.150341
Batch=239, step=19440, lr=0.119250, batch loss=0.043197, epoch loss=0.193538
Batch=299, step=19500, lr=0.119000, batch loss=0.014876, epoch loss=0.208414
Batch=359, step=19560, lr=0.118750, batch loss=0.027235, epoch loss=0.235650
Batch=419, step=19620, lr=0.118500, batch loss=0.021739, epoch loss=0.257388
Batch=479, step=19680, lr=0.118250, batch loss=0.007754, epoch loss=0.265142
Batch=539, step=19740, lr=0.118000, batch loss=0.017663, epoch loss=0.282805
Batch=599, step=19800, lr=0.117750, batch loss=0.024081, epoch loss=0.306887
Batch=659, step=19860, lr=0.117500, batch loss=0.020467, epoch loss=0.327353
Batch=719, step=19920, lr=0.117250, batch loss=0.054535, epoch loss=0.381888
Batch=779, step=19980, lr=0.117000, batch loss=0.079814, epoch loss=0.461702
Batch=839, step=20040, lr=0.116750, batch loss=0.032652, epoch loss=0.494354
Batch=899, step=20100, lr=0.116500, batch loss=0.033159, epoch loss=0.527512
Batch=959, step=20160, lr=0.116250, batch loss=0.011458, epoch loss=0.538970
Batch=1019, step=20220, lr=0.116000, batch loss=0.016023, epoch loss=0.554993
Batch=1079, step=20280, lr=0.115750, batch loss=0.001348, epoch loss=0.556341
Batch=1139, step=20340, lr=0.115500, batch loss=0.015838, epoch loss=0.572180
Batch=1199, step=20400, lr=0.115250, batch loss=0.005915, epoch loss=0.578094
Epoch=16, step=20400, lr=0.115250, epoch loss=0.578094
Batch=59, step=20460, lr=0.115000, batch loss=0.003407, epoch loss=0.003407
Batch=119, step=20520, lr=0.114750, batch loss=0.010985, epoch loss=0.014392
Batch=179, step=20580, lr=0.114500, batch loss=0.025786, epoch loss=0.040179
Batch=239, step=20640, lr=0.114250, batch loss=0.015954, epoch loss=0.056133
Batch=299, step=20700, lr=0.114000, batch loss=0.005195, epoch loss=0.061328
Batch=359, step=20760, lr=0.113750, batch loss=0.013506, epoch loss=0.074835
Batch=419, step=20820, lr=0.113500, batch loss=0.016247, epoch loss=0.091081
Batch=479, step=20880, lr=0.113250, batch loss=0.006514, epoch loss=0.097595
Batch=539, step=20940, lr=0.113000, batch loss=0.015170, epoch loss=0.112764
Batch=599, step=21000, lr=0.112750, batch loss=0.018485, epoch loss=0.131249
Batch=659, step=21060, lr=0.112500, batch loss=0.014425, epoch loss=0.145675
Batch=719, step=21120, lr=0.112250, batch loss=0.037753, epoch loss=0.183428
Batch=779, step=21180, lr=0.112000, batch loss=0.074515, epoch loss=0.257942
Batch=839, step=21240, lr=0.111750, batch loss=0.027132, epoch loss=0.285074
Batch=899, step=21300, lr=0.111500, batch loss=0.033845, epoch loss=0.318919
Batch=959, step=21360, lr=0.111250, batch loss=0.010070, epoch loss=0.328990
Batch=1019, step=21420, lr=0.111000, batch loss=0.012455, epoch loss=0.341444
Batch=1079, step=21480, lr=0.110750, batch loss=0.001724, epoch loss=0.343168
Batch=1139, step=21540, lr=0.110500, batch loss=0.012533, epoch loss=0.355701
Batch=1199, step=21600, lr=0.110250, batch loss=0.005046, epoch loss=0.360747
Epoch=17, step=21600, lr=0.110250, epoch loss=0.360747
Batch=59, step=21660, lr=0.110000, batch loss=0.002231, epoch loss=0.002231
Batch=119, step=21720, lr=0.109750, batch loss=0.006449, epoch loss=0.008680
Batch=179, step=21780, lr=0.109500, batch loss=0.012975, epoch loss=0.021656
Batch=239, step=21840, lr=0.109250, batch loss=0.010817, epoch loss=0.032473
Batch=299, step=21900, lr=0.109000, batch loss=0.002257, epoch loss=0.034730
Batch=359, step=21960, lr=0.108750, batch loss=0.011059, epoch loss=0.045789
Batch=419, step=22020, lr=0.108500, batch loss=0.011522, epoch loss=0.057311
Batch=479, step=22080, lr=0.108250, batch loss=0.002773, epoch loss=0.060084
Batch=539, step=22140, lr=0.108000, batch loss=0.018086, epoch loss=0.078169
Batch=599, step=22200, lr=0.107750, batch loss=0.016844, epoch loss=0.095013
Batch=659, step=22260, lr=0.107500, batch loss=0.014204, epoch loss=0.109217
Batch=719, step=22320, lr=0.107250, batch loss=0.029412, epoch loss=0.138629
Batch=779, step=22380, lr=0.107000, batch loss=0.039612, epoch loss=0.178241
Batch=839, step=22440, lr=0.106750, batch loss=0.021253, epoch loss=0.199494
Batch=899, step=22500, lr=0.106500, batch loss=0.024493, epoch loss=0.223987
Batch=959, step=22560, lr=0.106250, batch loss=0.010356, epoch loss=0.234343
Batch=1019, step=22620, lr=0.106000, batch loss=0.010077, epoch loss=0.244421
Batch=1079, step=22680, lr=0.105750, batch loss=0.000619, epoch loss=0.245039
Batch=1139, step=22740, lr=0.105500, batch loss=0.011664, epoch loss=0.256704
Batch=1199, step=22800, lr=0.105250, batch loss=0.004512, epoch loss=0.261216
Epoch=18, step=22800, lr=0.105250, epoch loss=0.261216
Batch=59, step=22860, lr=0.105000, batch loss=0.001632, epoch loss=0.001632
Batch=119, step=22920, lr=0.104750, batch loss=0.005661, epoch loss=0.007293
Batch=179, step=22980, lr=0.104500, batch loss=0.010798, epoch loss=0.018091
Batch=239, step=23040, lr=0.104250, batch loss=0.009629, epoch loss=0.027721
Batch=299, step=23100, lr=0.104000, batch loss=0.008319, epoch loss=0.036040
Batch=359, step=23160, lr=0.103750, batch loss=0.012799, epoch loss=0.048839
Batch=419, step=23220, lr=0.103500, batch loss=0.011011, epoch loss=0.059850
Batch=479, step=23280, lr=0.103250, batch loss=0.004133, epoch loss=0.063982
Batch=539, step=23340, lr=0.103000, batch loss=0.014151, epoch loss=0.078133
Batch=599, step=23400, lr=0.102750, batch loss=0.014255, epoch loss=0.092388
Batch=659, step=23460, lr=0.102500, batch loss=0.013485, epoch loss=0.105874
Batch=719, step=23520, lr=0.102250, batch loss=0.012766, epoch loss=0.118639
Batch=779, step=23580, lr=0.102000, batch loss=0.021637, epoch loss=0.140277
Batch=839, step=23640, lr=0.101750, batch loss=0.027122, epoch loss=0.167398
Batch=899, step=23700, lr=0.101500, batch loss=0.021857, epoch loss=0.189256
Batch=959, step=23760, lr=0.101250, batch loss=0.009272, epoch loss=0.198528
Batch=1019, step=23820, lr=0.101000, batch loss=0.007117, epoch loss=0.205646
Batch=1079, step=23880, lr=0.100750, batch loss=0.001317, epoch loss=0.206963
Batch=1139, step=23940, lr=0.100500, batch loss=0.008600, epoch loss=0.215563
Batch=1199, step=24000, lr=0.100250, batch loss=0.004700, epoch loss=0.220263
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220263


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 16:31.26 ---> saved as "00cd506bc477f4adb1cbaffde390c94be7bbfa0760e44d85d728ab166d9bc920"
Job succeeded
2025-03-21 16:31.27: Job succeeded