Organisations ahrefs ocannl f6ea37 ()ubuntu-20.04-5.3_opam-2.3
ubuntu-20.04-5.3_opam-2.3

Created at Mar 21 15:22 +00:00
6m46s in queue
Finished at Mar 21 15:50 +00:00
f6ea37
Ran for 21m10s
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2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750
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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:29.15: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
2025-03-21 15:42.32 ---> 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 15:42.33 ---> 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.


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


Format upgrade done.
[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


<><> 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 15:44.06 ---> 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 15:44.07 ---> saved as "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:44.07 ---> 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 15:45.13 ---> saved as "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:45.14 ---> 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 15:45.20 ---> saved as "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:45.20 ---> 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://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB]
- Get:3 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB]
- Get:4 http://security.ubuntu.com/ubuntu focal-security InRelease [128 kB]
- Get:5 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB]
- Get:6 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB]
- Get:7 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB]
- Get:8 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB]
- Get:9 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB]
- Get:10 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB]
- Get:11 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB]
- Get:12 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB]
- Fetched 21.5 MB in 2s (11.4 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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- 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 15:45:56 GMT 2025.
- Universal Time is now:  Fri Mar 21 15:45:56 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) ...
2025-03-21 15:45.58 ---> saved as "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (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 saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved 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 ocaml-syntax-shims.1.0.0
-> installed stdlib-shims.0.3.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> 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 fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed uucp.16.0.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> 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_deriving.6.0.3
-> installed ppx_globalize.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_minidebug.2.1.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:48.50 ---> saved as "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5"


/src: (copy (src .) (dst /src))
2025-03-21 15:48.52 ---> saved as "ca3f78f799e715923b8ffce08acc333cb9fe3c4ffe594241daa00a870324476c"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(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/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/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/0860581f42563e924c433561efedf571/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2b3698382f349d58cb02d9eedc912d8d/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/2b3698382f349d58cb02d9eedc912d8d/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199250, batch loss=0.846671, epoch loss=35.616880
Batch=299, step=300, lr=0.199000, batch loss=1.456496, epoch loss=37.073377
Batch=359, step=360, lr=0.198750, batch loss=1.327391, epoch loss=38.400768
Batch=419, step=420, lr=0.198500, batch loss=0.621544, epoch loss=39.022312
Batch=479, step=480, lr=0.198250, batch loss=0.817677, epoch loss=39.839989
Batch=539, step=540, lr=0.198000, batch loss=0.698250, epoch loss=40.538239
Batch=599, step=600, lr=0.197750, batch loss=1.072971, epoch loss=41.611210
Batch=659, step=660, lr=0.197500, batch loss=0.482882, epoch loss=42.094092
Batch=719, step=720, lr=0.197000, batch loss=0.411533, epoch loss=42.505625
Batch=779, step=780, lr=0.196750, batch loss=0.469831, epoch loss=42.975457
Batch=839, step=840, lr=0.196500, batch loss=0.444489, epoch loss=43.419945
Batch=899, step=900, lr=0.196500, batch loss=0.383273, epoch loss=43.803218
Batch=959, step=960, lr=0.196250, batch loss=0.241130, epoch loss=44.044348
Batch=1019, step=1020, lr=0.195750, batch loss=0.437706, epoch loss=44.482054
Batch=1079, step=1080, lr=0.195750, batch loss=0.227283, epoch loss=44.709337
Batch=1139, step=1140, lr=0.195500, batch loss=0.313857, epoch loss=45.023195
Batch=1199, step=1200, lr=0.195250, batch loss=0.262789, epoch loss=45.285983
Epoch=0, step=1200, lr=0.195250, epoch loss=45.285983
Batch=59, step=1260, lr=0.195000, batch loss=0.262460, epoch loss=0.262460
Batch=119, step=1320, lr=0.194750, batch loss=0.210134, epoch loss=0.472593
Batch=179, step=1380, lr=0.194500, batch loss=0.244469, epoch loss=0.717062
Batch=239, step=1440, lr=0.194250, batch loss=0.351737, epoch loss=1.068799
Batch=299, step=1500, lr=0.194000, batch loss=0.238623, epoch loss=1.307422
Batch=359, step=1560, lr=0.193750, batch loss=0.311760, epoch loss=1.619182
Batch=419, step=1620, lr=0.193500, batch loss=0.308098, epoch loss=1.927280
Batch=479, step=1680, lr=0.193250, batch loss=0.275373, epoch loss=2.202653
Batch=539, step=1740, lr=0.193000, batch loss=0.210385, epoch loss=2.413038
Batch=599, step=1800, lr=0.192750, batch loss=0.254917, epoch loss=2.667955
Batch=659, step=1860, lr=0.192500, batch loss=0.371519, epoch loss=3.039474
Batch=719, step=1920, lr=0.192250, batch loss=0.361092, epoch loss=3.400566
Batch=779, step=1980, lr=0.192000, batch loss=0.382932, epoch loss=3.783498
Batch=839, step=2040, lr=0.191750, batch loss=0.350115, epoch loss=4.133614
Batch=899, step=2100, lr=0.191500, batch loss=0.322006, epoch loss=4.455619
Batch=959, step=2160, lr=0.191250, batch loss=0.258921, epoch loss=4.714540
Batch=1019, step=2220, lr=0.190750, batch loss=0.388862, epoch loss=5.103403
Batch=1079, step=2280, lr=0.190750, batch loss=0.224906, epoch loss=5.328308
Batch=1139, step=2340, lr=0.190500, batch loss=0.270101, epoch loss=5.598410
Batch=1199, step=2400, lr=0.190000, batch loss=0.216500, epoch loss=5.814909
Epoch=1, step=2400, lr=0.190000, epoch loss=5.814909
Batch=59, step=2460, lr=0.190000, batch loss=0.229636, epoch loss=0.229636
Batch=119, step=2520, lr=0.189750, batch loss=0.186682, epoch loss=0.416319
Batch=179, step=2580, lr=0.189500, batch loss=0.222043, epoch loss=0.638362
Batch=239, step=2640, lr=0.189000, batch loss=0.338069, epoch loss=0.976431
Batch=299, step=2700, lr=0.189000, batch loss=0.219306, epoch loss=1.195736
Batch=359, step=2760, lr=0.188750, batch loss=0.298087, epoch loss=1.493823
Batch=419, step=2820, lr=0.188250, batch loss=0.287157, epoch loss=1.780981
Batch=479, step=2880, lr=0.188250, batch loss=0.262489, epoch loss=2.043470
Batch=539, step=2940, lr=0.188000, batch loss=0.200269, epoch loss=2.243739
Batch=599, step=3000, lr=0.187750, batch loss=0.245249, epoch loss=2.488988
Batch=659, step=3060, lr=0.187500, batch loss=0.348048, epoch loss=2.837037
Batch=719, step=3120, lr=0.187250, batch loss=0.348949, epoch loss=3.185986
Batch=779, step=3180, lr=0.187000, batch loss=0.365288, epoch loss=3.551274
Batch=839, step=3240, lr=0.186750, batch loss=0.324954, epoch loss=3.876228
Batch=899, step=3300, lr=0.186500, batch loss=0.290600, epoch loss=4.166829
Batch=959, step=3360, lr=0.186250, batch loss=0.211955, epoch loss=4.378783
Batch=1019, step=3420, lr=0.186000, batch loss=0.306182, epoch loss=4.684965
Batch=1079, step=3480, lr=0.185750, batch loss=0.170444, epoch loss=4.855409
Batch=1139, step=3540, lr=0.185500, batch loss=0.229099, epoch loss=5.084508
Batch=1199, step=3600, lr=0.185000, batch loss=0.222424, epoch loss=5.306932
Epoch=2, step=3600, lr=0.185000, epoch loss=5.306932
Batch=59, step=3660, lr=0.185000, batch loss=0.233399, epoch loss=0.233399
Batch=119, step=3720, lr=0.184750, batch loss=0.196882, epoch loss=0.430281
Batch=179, step=3780, lr=0.184500, batch loss=0.210413, epoch loss=0.640694
Batch=239, step=3840, lr=0.184250, batch loss=0.316478, epoch loss=0.957172
Batch=299, step=3900, lr=0.184000, batch loss=0.204813, epoch loss=1.161986
Batch=359, step=3960, lr=0.183750, batch loss=0.280944, epoch loss=1.442930
Batch=419, step=4020, lr=0.183500, batch loss=0.271697, epoch loss=1.714626
Batch=479, step=4080, lr=0.183250, batch loss=0.248596, epoch loss=1.963222
Batch=539, step=4140, lr=0.182750, batch loss=0.196032, epoch loss=2.159254
Batch=599, step=4200, lr=0.182750, batch loss=0.242458, epoch loss=2.401712
Batch=659, step=4260, lr=0.182500, batch loss=0.327224, epoch loss=2.728936
Batch=719, step=4320, lr=0.182250, batch loss=0.327591, epoch loss=3.056526
Batch=779, step=4380, lr=0.182000, batch loss=0.351119, epoch loss=3.407645
Batch=839, step=4440, lr=0.181500, batch loss=0.318343, epoch loss=3.725988
Batch=899, step=4500, lr=0.181500, batch loss=0.283746, epoch loss=4.009734
Batch=959, step=4560, lr=0.181250, batch loss=0.242207, epoch loss=4.251941
Batch=1019, step=4620, lr=0.181000, batch loss=0.335589, epoch loss=4.587529
Batch=1079, step=4680, lr=0.180750, batch loss=0.207572, epoch loss=4.795101
Batch=1139, step=4740, lr=0.180500, batch loss=0.251823, epoch loss=5.046924
Batch=1199, step=4800, lr=0.180250, batch loss=0.192526, epoch loss=5.239450
Epoch=3, step=4800, lr=0.180250, epoch loss=5.239450
Batch=59, step=4860, lr=0.180000, batch loss=0.225844, epoch loss=0.225844
Batch=119, step=4920, lr=0.179750, batch loss=0.185846, epoch loss=0.411691
Batch=179, step=4980, lr=0.179500, batch loss=0.205735, epoch loss=0.617426
Batch=239, step=5040, lr=0.179250, batch loss=0.306837, epoch loss=0.924263
Batch=299, step=5100, lr=0.179000, batch loss=0.200557, epoch loss=1.124820
Batch=359, step=5160, lr=0.178750, batch loss=0.275297, epoch loss=1.400117
Batch=419, step=5220, lr=0.178500, batch loss=0.266248, epoch loss=1.666365
Batch=479, step=5280, lr=0.178250, batch loss=0.245330, epoch loss=1.911695
Batch=539, step=5340, lr=0.178000, batch loss=0.189994, epoch loss=2.101688
Batch=599, step=5400, lr=0.177750, batch loss=0.230721, epoch loss=2.332409
Batch=659, step=5460, lr=0.177500, batch loss=0.324379, epoch loss=2.656788
Batch=719, step=5520, lr=0.177250, batch loss=0.325610, epoch loss=2.982399
Batch=779, step=5580, lr=0.177000, batch loss=0.339114, epoch loss=3.321513
Batch=839, step=5640, lr=0.176750, batch loss=0.313779, epoch loss=3.635292
Batch=899, step=5700, lr=0.176500, batch loss=0.278542, epoch loss=3.913834
Batch=959, step=5760, lr=0.176250, batch loss=0.218886, epoch loss=4.132720
Batch=1019, step=5820, lr=0.176000, batch loss=0.333352, epoch loss=4.466072
Batch=1079, step=5880, lr=0.175750, batch loss=0.196594, epoch loss=4.662667
Batch=1139, step=5940, lr=0.175500, batch loss=0.232084, epoch loss=4.894751
Batch=1199, step=6000, lr=0.175000, batch loss=0.185992, epoch loss=5.080743
Epoch=4, step=6000, lr=0.175000, epoch loss=5.080743
Batch=59, step=6060, lr=0.175000, batch loss=0.222081, epoch loss=0.222081
Batch=119, step=6120, lr=0.174750, batch loss=0.187247, epoch loss=0.409328
Batch=179, step=6180, lr=0.174500, batch loss=0.201727, epoch loss=0.611055
Batch=239, step=6240, lr=0.174250, batch loss=0.302775, epoch loss=0.913830
Batch=299, step=6300, lr=0.174000, batch loss=0.212660, epoch loss=1.126490
Batch=359, step=6360, lr=0.173750, batch loss=0.272907, epoch loss=1.399397
Batch=419, step=6420, lr=0.173500, batch loss=0.267115, epoch loss=1.666512
Batch=479, step=6480, lr=0.173250, batch loss=0.241826, epoch loss=1.908338
Batch=539, step=6540, lr=0.173000, batch loss=0.196458, epoch loss=2.104796
Batch=599, step=6600, lr=0.172750, batch loss=0.232798, epoch loss=2.337595
Batch=659, step=6660, lr=0.172500, batch loss=0.313814, epoch loss=2.651409
Batch=719, step=6720, lr=0.172250, batch loss=0.317828, epoch loss=2.969237
Batch=779, step=6780, lr=0.172000, batch loss=0.330747, epoch loss=3.299983
Batch=839, step=6840, lr=0.171750, batch loss=0.305406, epoch loss=3.605389
Batch=899, step=6900, lr=0.171500, batch loss=0.265582, epoch loss=3.870971
Batch=959, step=6960, lr=0.171250, batch loss=0.217047, epoch loss=4.088019
Batch=1019, step=7020, lr=0.171000, batch loss=0.321893, epoch loss=4.409912
Batch=1079, step=7080, lr=0.170750, batch loss=0.176898, epoch loss=4.586810
Batch=1139, step=7140, lr=0.170500, batch loss=0.214726, epoch loss=4.801536
Batch=1199, step=7200, lr=0.170250, batch loss=0.182983, epoch loss=4.984520
Epoch=5, step=7200, lr=0.170250, epoch loss=4.984520
Batch=59, step=7260, lr=0.170000, batch loss=0.240281, epoch loss=0.240281
Batch=119, step=7320, lr=0.169750, batch loss=0.179594, epoch loss=0.419875
Batch=179, step=7380, lr=0.169500, batch loss=0.195045, epoch loss=0.614920
Batch=239, step=7440, lr=0.169250, batch loss=0.292223, epoch loss=0.907143
Batch=299, step=7500, lr=0.169000, batch loss=0.206480, epoch loss=1.113623
Batch=359, step=7560, lr=0.168750, batch loss=0.264865, epoch loss=1.378488
Batch=419, step=7620, lr=0.168500, batch loss=0.258346, epoch loss=1.636835
Batch=479, step=7680, lr=0.168250, batch loss=0.234823, epoch loss=1.871657
Batch=539, step=7740, lr=0.168000, batch loss=0.190752, epoch loss=2.062409
Batch=599, step=7800, lr=0.167750, batch loss=0.228855, epoch loss=2.291264
Batch=659, step=7860, lr=0.167500, batch loss=0.304164, epoch loss=2.595427
Batch=719, step=7920, lr=0.167250, batch loss=0.310726, epoch loss=2.906154
Batch=779, step=7980, lr=0.167000, batch loss=0.328598, epoch loss=3.234751
Batch=839, step=8040, lr=0.166750, batch loss=0.293771, epoch loss=3.528523
Batch=899, step=8100, lr=0.166500, batch loss=0.262307, epoch loss=3.790830
Batch=959, step=8160, lr=0.166250, batch loss=0.200239, epoch loss=3.991069
Batch=1019, step=8220, lr=0.166000, batch loss=0.329191, epoch loss=4.320261
Batch=1079, step=8280, lr=0.165750, batch loss=0.191747, epoch loss=4.512008
Batch=1139, step=8340, lr=0.165500, batch loss=0.217727, epoch loss=4.729734
Batch=1199, step=8400, lr=0.165250, batch loss=0.173893, epoch loss=4.903627
Epoch=6, step=8400, lr=0.165250, epoch loss=4.903627
Batch=59, step=8460, lr=0.164750, batch loss=0.212469, epoch loss=0.212469
Batch=119, step=8520, lr=0.164750, batch loss=0.171964, epoch loss=0.384433
Batch=179, step=8580, lr=0.164500, batch loss=0.188230, epoch loss=0.572663
Batch=239, step=8640, lr=0.164250, batch loss=0.279257, epoch loss=0.851921
Batch=299, step=8700, lr=0.164000, batch loss=0.189905, epoch loss=1.041825
Batch=359, step=8760, lr=0.163750, batch loss=0.250461, epoch loss=1.292286
Batch=419, step=8820, lr=0.163250, batch loss=0.244847, epoch loss=1.537134
Batch=479, step=8880, lr=0.163250, batch loss=0.229805, epoch loss=1.766939
Batch=539, step=8940, lr=0.163000, batch loss=0.177643, epoch loss=1.944582
Batch=599, step=9000, lr=0.162750, batch loss=0.219064, epoch loss=2.163646
Batch=659, step=9060, lr=0.162500, batch loss=0.294135, epoch loss=2.457781
Batch=719, step=9120, lr=0.162250, batch loss=0.297229, epoch loss=2.755010
Batch=779, step=9180, lr=0.162000, batch loss=0.315413, epoch loss=3.070423
Batch=839, step=9240, lr=0.161750, batch loss=0.282460, epoch loss=3.352883
Batch=899, step=9300, lr=0.161500, batch loss=0.253002, epoch loss=3.605885
Batch=959, step=9360, lr=0.161250, batch loss=0.187678, epoch loss=3.793563
Batch=1019, step=9420, lr=0.161000, batch loss=0.319117, epoch loss=4.112680
Batch=1079, step=9480, lr=0.160750, batch loss=0.195344, epoch loss=4.308024
Batch=1139, step=9540, lr=0.160500, batch loss=0.213055, epoch loss=4.521079
Batch=1199, step=9600, lr=0.160250, batch loss=0.168294, epoch loss=4.689373
Epoch=7, step=9600, lr=0.160250, epoch loss=4.689373
Batch=59, step=9660, lr=0.159750, batch loss=0.201490, epoch loss=0.201490
Batch=119, step=9720, lr=0.159750, batch loss=0.164486, epoch loss=0.365976
Batch=179, step=9780, lr=0.159500, batch loss=0.179526, epoch loss=0.545502
Batch=239, step=9840, lr=0.159250, batch loss=0.264645, epoch loss=0.810147
Batch=299, step=9900, lr=0.159000, batch loss=0.180323, epoch loss=0.990470
Batch=359, step=9960, lr=0.158750, batch loss=0.240444, epoch loss=1.230914
Batch=419, step=10020, lr=0.158500, batch loss=0.233768, epoch loss=1.464682
Batch=479, step=10080, lr=0.158250, batch loss=0.214195, epoch loss=1.678877
Batch=539, step=10140, lr=0.158000, batch loss=0.171306, epoch loss=1.850183
Batch=599, step=10200, lr=0.157750, batch loss=0.202215, epoch loss=2.052398
Batch=659, step=10260, lr=0.157500, batch loss=0.283169, epoch loss=2.335567
Batch=719, step=10320, lr=0.157250, batch loss=0.287687, epoch loss=2.623253
Batch=779, step=10380, lr=0.157000, batch loss=0.294802, epoch loss=2.918055
Batch=839, step=10440, lr=0.156750, batch loss=0.267509, epoch loss=3.185565
Batch=899, step=10500, lr=0.156500, batch loss=0.242291, epoch loss=3.427855
Batch=959, step=10560, lr=0.156250, batch loss=0.194946, epoch loss=3.622801
Batch=1019, step=10620, lr=0.156000, batch loss=0.280091, epoch loss=3.902893
Batch=1079, step=10680, lr=0.155750, batch loss=0.153465, epoch loss=4.056357
Batch=1139, step=10740, lr=0.155500, batch loss=0.182641, epoch loss=4.238998
Batch=1199, step=10800, lr=0.155250, batch loss=0.156617, epoch loss=4.395615
Epoch=8, step=10800, lr=0.155250, epoch loss=4.395615
Batch=59, step=10860, lr=0.155000, batch loss=0.192203, epoch loss=0.192203
Batch=119, step=10920, lr=0.154750, batch loss=0.163158, epoch loss=0.355361
Batch=179, step=10980, lr=0.154500, batch loss=0.167012, epoch loss=0.522373
Batch=239, step=11040, lr=0.154250, batch loss=0.244101, epoch loss=0.766473
Batch=299, step=11100, lr=0.154000, batch loss=0.169098, epoch loss=0.935571
Batch=359, step=11160, lr=0.153750, batch loss=0.221777, epoch loss=1.157348
Batch=419, step=11220, lr=0.153500, batch loss=0.215630, epoch loss=1.372978
Batch=479, step=11280, lr=0.153250, batch loss=0.204563, epoch loss=1.577541
Batch=539, step=11340, lr=0.153000, batch loss=0.156904, epoch loss=1.734446
Batch=599, step=11400, lr=0.152750, batch loss=0.180734, epoch loss=1.915180
Batch=659, step=11460, lr=0.152500, batch loss=0.265004, epoch loss=2.180184
Batch=719, step=11520, lr=0.152250, batch loss=0.263321, epoch loss=2.443505
Batch=779, step=11580, lr=0.152000, batch loss=0.273279, epoch loss=2.716783
Batch=839, step=11640, lr=0.151750, batch loss=0.250789, epoch loss=2.967573
Batch=899, step=11700, lr=0.151500, batch loss=0.220865, epoch loss=3.188438
Batch=959, step=11760, lr=0.151250, batch loss=0.186973, epoch loss=3.375410
Batch=1019, step=11820, lr=0.151000, batch loss=0.278256, epoch loss=3.653666
Batch=1079, step=11880, lr=0.150750, batch loss=0.160373, epoch loss=3.814039
Batch=1139, step=11940, lr=0.150500, batch loss=0.188741, epoch loss=4.002780
Batch=1199, step=12000, lr=0.150250, batch loss=0.140114, epoch loss=4.142894
Epoch=9, step=12000, lr=0.150250, epoch loss=4.142894
Batch=59, step=12060, lr=0.150000, batch loss=0.163632, epoch loss=0.163632
Batch=119, step=12120, lr=0.149750, batch loss=0.136509, epoch loss=0.300141
Batch=179, step=12180, lr=0.149250, batch loss=0.151699, epoch loss=0.451840
Batch=239, step=12240, lr=0.149000, batch loss=0.220713, epoch loss=0.672553
Batch=299, step=12300, lr=0.149000, batch loss=0.142655, epoch loss=0.815208
Batch=359, step=12360, lr=0.148750, batch loss=0.199468, epoch loss=1.014676
Batch=419, step=12420, lr=0.148500, batch loss=0.206413, epoch loss=1.221089
Batch=479, step=12480, lr=0.148250, batch loss=0.181095, epoch loss=1.402184
Batch=539, step=12540, lr=0.148000, batch loss=0.143089, epoch loss=1.545273
Batch=599, step=12600, lr=0.147750, batch loss=0.150923, epoch loss=1.696196
Batch=659, step=12660, lr=0.147500, batch loss=0.227789, epoch loss=1.923985
Batch=719, step=12720, lr=0.147250, batch loss=0.238139, epoch loss=2.162124
Batch=779, step=12780, lr=0.147000, batch loss=0.264494, epoch loss=2.426618
Batch=839, step=12840, lr=0.146750, batch loss=0.235416, epoch loss=2.662034
Batch=899, step=12900, lr=0.146500, batch loss=0.209009, epoch loss=2.871044
Batch=959, step=12960, lr=0.146250, batch loss=0.142372, epoch loss=3.013416
Batch=1019, step=13020, lr=0.146000, batch loss=0.220262, epoch loss=3.233678
Batch=1079, step=13080, lr=0.145750, batch loss=0.110938, epoch loss=3.344616
Batch=1139, step=13140, lr=0.145500, batch loss=0.148422, epoch loss=3.493038
Batch=1199, step=13200, lr=0.145250, batch loss=0.118011, epoch loss=3.611049
Epoch=10, step=13200, lr=0.145250, epoch loss=3.611049
Batch=59, step=13260, lr=0.145000, batch loss=0.132659, epoch loss=0.132659
Batch=119, step=13320, lr=0.144750, batch loss=0.110159, epoch loss=0.242818
Batch=179, step=13380, lr=0.144500, batch loss=0.128451, epoch loss=0.371269
Batch=239, step=13440, lr=0.144250, batch loss=0.186643, epoch loss=0.557911
Batch=299, step=13500, lr=0.144000, batch loss=0.121078, epoch loss=0.678989
Batch=359, step=13560, lr=0.143750, batch loss=0.167736, epoch loss=0.846725
Batch=419, step=13620, lr=0.143500, batch loss=0.191436, epoch loss=1.038161
Batch=479, step=13680, lr=0.143250, batch loss=0.138852, epoch loss=1.177013
Batch=539, step=13740, lr=0.143000, batch loss=0.119939, epoch loss=1.296953
Batch=599, step=13800, lr=0.142750, batch loss=0.121759, epoch loss=1.418712
Batch=659, step=13860, lr=0.142500, batch loss=0.179876, epoch loss=1.598588
Batch=719, step=13920, lr=0.142250, batch loss=0.178197, epoch loss=1.776785
Batch=779, step=13980, lr=0.142000, batch loss=0.202058, epoch loss=1.978844
Batch=839, step=14040, lr=0.141750, batch loss=0.187295, epoch loss=2.166139
Batch=899, step=14100, lr=0.141500, batch loss=0.162196, epoch loss=2.328335
Batch=959, step=14160, lr=0.141250, batch loss=0.154911, epoch loss=2.483246
Batch=1019, step=14220, lr=0.141000, batch loss=0.340409, epoch loss=2.823655
Batch=1079, step=14280, lr=0.140750, batch loss=0.083490, epoch loss=2.907146
Batch=1139, step=14340, lr=0.140500, batch loss=0.123639, epoch loss=3.030784
Batch=1199, step=14400, lr=0.140250, batch loss=0.093830, epoch loss=3.124614
Epoch=11, step=14400, lr=0.140250, epoch loss=3.124614
Batch=59, step=14460, lr=0.140000, batch loss=0.116911, epoch loss=0.116911
Batch=119, step=14520, lr=0.139750, batch loss=0.103213, epoch loss=0.220125
Batch=179, step=14580, lr=0.139500, batch loss=0.108435, epoch loss=0.328560
Batch=239, step=14640, lr=0.139250, batch loss=0.144199, epoch loss=0.472758
Batch=299, step=14700, lr=0.139000, batch loss=0.083633, epoch loss=0.556391
Batch=359, step=14760, lr=0.138750, batch loss=0.120336, epoch loss=0.676727
Batch=419, step=14820, lr=0.138500, batch loss=0.129692, epoch loss=0.806419
Batch=479, step=14880, lr=0.138250, batch loss=0.104159, epoch loss=0.910579
Batch=539, step=14940, lr=0.138000, batch loss=0.101299, epoch loss=1.011878
Batch=599, step=15000, lr=0.137750, batch loss=0.087614, epoch loss=1.099492
Batch=659, step=15060, lr=0.137500, batch loss=0.132393, epoch loss=1.231885
Batch=719, step=15120, lr=0.137000, batch loss=0.134909, epoch loss=1.366794
Batch=779, step=15180, lr=0.137000, batch loss=0.155588, epoch loss=1.522381
Batch=839, step=15240, lr=0.136750, batch loss=0.167516, epoch loss=1.689897
Batch=899, step=15300, lr=0.136500, batch loss=0.250716, epoch loss=1.940613
Batch=959, step=15360, lr=0.136250, batch loss=0.055862, epoch loss=1.996475
Batch=1019, step=15420, lr=0.136000, batch loss=0.138983, epoch loss=2.135459
Batch=1079, step=15480, lr=0.135750, batch loss=0.049327, epoch loss=2.184786
Batch=1139, step=15540, lr=0.135500, batch loss=0.102980, epoch loss=2.287766
Batch=1199, step=15600, lr=0.135250, batch loss=0.060852, epoch loss=2.348619
Epoch=12, step=15600, lr=0.135250, epoch loss=2.348619
Batch=59, step=15660, lr=0.135000, batch loss=0.087797, epoch loss=0.087797
Batch=119, step=15720, lr=0.134750, batch loss=0.135077, epoch loss=0.222875
Batch=179, step=15780, lr=0.134500, batch loss=0.098924, epoch loss=0.321798
Batch=239, step=15840, lr=0.134000, batch loss=0.099270, epoch loss=0.421068
Batch=299, step=15900, lr=0.134000, batch loss=0.048121, epoch loss=0.469189
Batch=359, step=15960, lr=0.133750, batch loss=0.087859, epoch loss=0.557048
Batch=419, step=16020, lr=0.133500, batch loss=0.078648, epoch loss=0.635696
Batch=479, step=16080, lr=0.133250, batch loss=0.057550, epoch loss=0.693246
Batch=539, step=16140, lr=0.133000, batch loss=0.074837, epoch loss=0.768083
Batch=599, step=16200, lr=0.132750, batch loss=0.165529, epoch loss=0.933612
Batch=659, step=16260, lr=0.132500, batch loss=0.099484, epoch loss=1.033095
Batch=719, step=16320, lr=0.132250, batch loss=0.129188, epoch loss=1.162284
Batch=779, step=16380, lr=0.132000, batch loss=0.266524, epoch loss=1.428807
Batch=839, step=16440, lr=0.131500, batch loss=0.092027, epoch loss=1.520834
Batch=899, step=16500, lr=0.131500, batch loss=0.076252, epoch loss=1.597086
Batch=959, step=16560, lr=0.131250, batch loss=0.033068, epoch loss=1.630155
Batch=1019, step=16620, lr=0.131000, batch loss=0.070823, epoch loss=1.700978
Batch=1079, step=16680, lr=0.130750, batch loss=0.052000, epoch loss=1.752978
Batch=1139, step=16740, lr=0.130500, batch loss=0.092249, epoch loss=1.845227
Batch=1199, step=16800, lr=0.130250, batch loss=0.044558, epoch loss=1.889786
Epoch=13, step=16800, lr=0.130250, epoch loss=1.889786
Batch=59, step=16860, lr=0.130000, batch loss=0.038910, epoch loss=0.038910
Batch=119, step=16920, lr=0.129750, batch loss=0.037213, epoch loss=0.076123
Batch=179, step=16980, lr=0.129500, batch loss=0.044962, epoch loss=0.121085
Batch=239, step=17040, lr=0.129250, batch loss=0.058550, epoch loss=0.179636
Batch=299, step=17100, lr=0.129000, batch loss=0.021338, epoch loss=0.200973
Batch=359, step=17160, lr=0.128750, batch loss=0.044458, epoch loss=0.245432
Batch=419, step=17220, lr=0.128500, batch loss=0.046053, epoch loss=0.291485
Batch=479, step=17280, lr=0.128250, batch loss=0.023648, epoch loss=0.315133
Batch=539, step=17340, lr=0.128000, batch loss=0.028472, epoch loss=0.343605
Batch=599, step=17400, lr=0.127750, batch loss=0.042011, epoch loss=0.385616
Batch=659, step=17460, lr=0.127500, batch loss=0.053007, epoch loss=0.438623
Batch=719, step=17520, lr=0.127250, batch loss=0.058822, epoch loss=0.497445
Batch=779, step=17580, lr=0.127000, batch loss=0.076937, epoch loss=0.574382
Batch=839, step=17640, lr=0.126750, batch loss=0.146488, epoch loss=0.720870
Batch=899, step=17700, lr=0.126500, batch loss=0.061928, epoch loss=0.782799
Batch=959, step=17760, lr=0.126250, batch loss=0.024537, epoch loss=0.807335
Batch=1019, step=17820, lr=0.126000, batch loss=0.039635, epoch loss=0.846971
Batch=1079, step=17880, lr=0.125750, batch loss=0.022248, epoch loss=0.869219
Batch=1139, step=17940, lr=0.125250, batch loss=0.048607, epoch loss=0.917825
Batch=1199, step=18000, lr=0.125250, batch loss=0.020231, epoch loss=0.938057
Epoch=14, step=18000, lr=0.125250, epoch loss=0.938057
Batch=59, step=18060, lr=0.125000, batch loss=0.013021, epoch loss=0.013021
Batch=119, step=18120, lr=0.124500, batch loss=0.020408, epoch loss=0.033429
Batch=179, step=18180, lr=0.124500, batch loss=0.029566, epoch loss=0.062995
Batch=239, step=18240, lr=0.124250, batch loss=0.036705, epoch loss=0.099699
Batch=299, step=18300, lr=0.124000, batch loss=0.013766, epoch loss=0.113465
Batch=359, step=18360, lr=0.123750, batch loss=0.024657, epoch loss=0.138121
Batch=419, step=18420, lr=0.123500, batch loss=0.029353, epoch loss=0.167474
Batch=479, step=18480, lr=0.123250, batch loss=0.021763, epoch loss=0.189237
Batch=539, step=18540, lr=0.123000, batch loss=0.037462, epoch loss=0.226699
Batch=599, step=18600, lr=0.122750, batch loss=0.026232, epoch loss=0.252931
Batch=659, step=18660, lr=0.122500, batch loss=0.036024, epoch loss=0.288955
Batch=719, step=18720, lr=0.122250, batch loss=0.034095, epoch loss=0.323049
Batch=779, step=18780, lr=0.122000, batch loss=0.085563, epoch loss=0.408612
Batch=839, step=18840, lr=0.121750, batch loss=0.063355, epoch loss=0.471967
Batch=899, step=18900, lr=0.121500, batch loss=0.100568, epoch loss=0.572536
Batch=959, step=18960, lr=0.121250, batch loss=0.018665, epoch loss=0.591200
Batch=1019, step=19020, lr=0.121000, batch loss=0.031463, epoch loss=0.622663
Batch=1079, step=19080, lr=0.120750, batch loss=0.005018, epoch loss=0.627682
Batch=1139, step=19140, lr=0.120500, batch loss=0.020051, epoch loss=0.647732
Batch=1199, step=19200, lr=0.120250, batch loss=0.011922, epoch loss=0.659654
Epoch=15, step=19200, lr=0.120250, epoch loss=0.659654
Batch=59, step=19260, lr=0.120000, batch loss=0.007579, epoch loss=0.007579
Batch=119, step=19320, lr=0.119500, batch loss=0.021928, epoch loss=0.029507
Batch=179, step=19380, lr=0.119500, batch loss=0.066854, epoch loss=0.096362
Batch=239, step=19440, lr=0.119250, batch loss=0.029047, epoch loss=0.125408
Batch=299, step=19500, lr=0.119000, batch loss=0.009440, epoch loss=0.134848
Batch=359, step=19560, lr=0.118750, batch loss=0.025563, epoch loss=0.160411
Batch=419, step=19620, lr=0.118500, batch loss=0.021142, epoch loss=0.181553
Batch=479, step=19680, lr=0.118250, batch loss=0.006896, epoch loss=0.188450
Batch=539, step=19740, lr=0.118000, batch loss=0.016878, epoch loss=0.205328
Batch=599, step=19800, lr=0.117750, batch loss=0.024831, epoch loss=0.230158
Batch=659, step=19860, lr=0.117500, batch loss=0.019811, epoch loss=0.249969
Batch=719, step=19920, lr=0.117250, batch loss=0.036390, epoch loss=0.286359
Batch=779, step=19980, lr=0.117000, batch loss=0.080916, epoch loss=0.367275
Batch=839, step=20040, lr=0.116750, batch loss=0.032052, epoch loss=0.399327
Batch=899, step=20100, lr=0.116500, batch loss=0.031809, epoch loss=0.431136
Batch=959, step=20160, lr=0.116250, batch loss=0.011518, epoch loss=0.442654
Batch=1019, step=20220, lr=0.116000, batch loss=0.017566, epoch loss=0.460220
Batch=1079, step=20280, lr=0.115750, batch loss=0.002842, epoch loss=0.463062
Batch=1139, step=20340, lr=0.115250, batch loss=0.015051, epoch loss=0.478113
Batch=1199, step=20400, lr=0.115000, batch loss=0.005919, epoch loss=0.484032
Epoch=16, step=20400, lr=0.115000, epoch loss=0.484032
Batch=59, step=20460, lr=0.115000, batch loss=0.003665, epoch loss=0.003665
Batch=119, step=20520, lr=0.114750, batch loss=0.009797, epoch loss=0.013462
Batch=179, step=20580, lr=0.114500, batch loss=0.023163, epoch loss=0.036625
Batch=239, step=20640, lr=0.114250, batch loss=0.016083, epoch loss=0.052708
Batch=299, step=20700, lr=0.114000, batch loss=0.005011, epoch loss=0.057719
Batch=359, step=20760, lr=0.113750, batch loss=0.013822, epoch loss=0.071541
Batch=419, step=20820, lr=0.113500, batch loss=0.014884, epoch loss=0.086424
Batch=479, step=20880, lr=0.113000, batch loss=0.004240, epoch loss=0.090665
Batch=539, step=20940, lr=0.113000, batch loss=0.016730, epoch loss=0.107394
Batch=599, step=21000, lr=0.112750, batch loss=0.017934, epoch loss=0.125329
Batch=659, step=21060, lr=0.112500, batch loss=0.013946, epoch loss=0.139275
Batch=719, step=21120, lr=0.112250, batch loss=0.031065, epoch loss=0.170340
Batch=779, step=21180, lr=0.112000, batch loss=0.043747, epoch loss=0.214087
Batch=839, step=21240, lr=0.111750, batch loss=0.030574, epoch loss=0.244661
Batch=899, step=21300, lr=0.111500, batch loss=0.034182, epoch loss=0.278844
Batch=959, step=21360, lr=0.111250, batch loss=0.011007, epoch loss=0.289851
Batch=1019, step=21420, lr=0.111000, batch loss=0.012693, epoch loss=0.302544
Batch=1079, step=21480, lr=0.110500, batch loss=0.002715, epoch loss=0.305259
Batch=1139, step=21540, lr=0.110500, batch loss=0.012288, epoch loss=0.317547
Batch=1199, step=21600, lr=0.110250, batch loss=0.005126, epoch loss=0.322673
Epoch=17, step=21600, lr=0.110250, epoch loss=0.322673
Batch=59, step=21660, lr=0.110000, batch loss=0.002556, epoch loss=0.002556
Batch=119, step=21720, lr=0.109750, batch loss=0.007096, epoch loss=0.009652
Batch=179, step=21780, lr=0.109500, batch loss=0.012945, epoch loss=0.022597
Batch=239, step=21840, lr=0.109250, batch loss=0.010101, epoch loss=0.032698
Batch=299, step=21900, lr=0.109000, batch loss=0.010743, epoch loss=0.043441
Batch=359, step=21960, lr=0.108750, batch loss=0.014362, epoch loss=0.057803
Batch=419, step=22020, lr=0.108250, batch loss=0.012666, epoch loss=0.070469
Batch=479, step=22080, lr=0.108250, batch loss=0.003294, epoch loss=0.073764
Batch=539, step=22140, lr=0.108000, batch loss=0.017534, epoch loss=0.091298
Batch=599, step=22200, lr=0.107750, batch loss=0.017652, epoch loss=0.108950
Batch=659, step=22260, lr=0.107500, batch loss=0.016323, epoch loss=0.125273
Batch=719, step=22320, lr=0.107250, batch loss=0.021875, epoch loss=0.147148
Batch=779, step=22380, lr=0.107000, batch loss=0.029678, epoch loss=0.176827
Batch=839, step=22440, lr=0.106750, batch loss=0.030005, epoch loss=0.206832
Batch=899, step=22500, lr=0.106500, batch loss=0.023830, epoch loss=0.230662
Batch=959, step=22560, lr=0.106250, batch loss=0.010371, epoch loss=0.241033
Batch=1019, step=22620, lr=0.106000, batch loss=0.008545, epoch loss=0.249579
Batch=1079, step=22680, lr=0.105750, batch loss=0.001741, epoch loss=0.251319
Batch=1139, step=22740, lr=0.105500, batch loss=0.010419, epoch loss=0.261739
Batch=1199, step=22800, lr=0.105250, batch loss=0.005673, epoch loss=0.267412
Epoch=18, step=22800, lr=0.105250, epoch loss=0.267412
Batch=59, step=22860, lr=0.105000, batch loss=0.002771, epoch loss=0.002771
Batch=119, step=22920, lr=0.104750, batch loss=0.004922, epoch loss=0.007692
Batch=179, step=22980, lr=0.104500, batch loss=0.013377, epoch loss=0.021069
Batch=239, step=23040, lr=0.104250, batch loss=0.009464, epoch loss=0.030533
Batch=299, step=23100, lr=0.103750, batch loss=0.001435, epoch loss=0.031968
Batch=359, step=23160, lr=0.103750, batch loss=0.011745, epoch loss=0.043712
Batch=419, step=23220, lr=0.103500, batch loss=0.010125, epoch loss=0.053838
Batch=479, step=23280, lr=0.103250, batch loss=0.004208, epoch loss=0.058046
Batch=539, step=23340, lr=0.102750, batch loss=0.014684, epoch loss=0.072730
Batch=599, step=23400, lr=0.102750, batch loss=0.014164, epoch loss=0.086893
Batch=659, step=23460, lr=0.102250, batch loss=0.012778, epoch loss=0.099671
Batch=719, step=23520, lr=0.102000, batch loss=0.017513, epoch loss=0.117184
Batch=779, step=23580, lr=0.102000, batch loss=0.021158, epoch loss=0.138342
Batch=839, step=23640, lr=0.101750, batch loss=0.025634, epoch loss=0.163976
Batch=899, step=23700, lr=0.101250, batch loss=0.022243, epoch loss=0.186220
Batch=959, step=23760, lr=0.101250, batch loss=0.008645, epoch loss=0.194865
Batch=1019, step=23820, lr=0.101000, batch loss=0.008147, epoch loss=0.203012
Batch=1079, step=23880, lr=0.100750, batch loss=0.001342, epoch loss=0.204354
Batch=1139, step=23940, lr=0.100500, batch loss=0.008939, epoch loss=0.213292
Batch=1199, step=24000, lr=0.100250, batch loss=0.004866, epoch loss=0.218158
Epoch=19, step=24000, lr=0.100250, epoch loss=0.218158


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:50.24 ---> saved as "c4a32ef7302debd56fb04c200bbebce13cbfe084ab4cf6ba0045505d94e4c029"
Job succeeded
2025-03-21 15:50.25: Job succeeded