ubuntu-20.04-5.3_opam-2.3

2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (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 8b6a6fac
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 14:48.49: 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 14:48.49: 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 14:48.49: Waiting for resource in pool OCluster
2025-03-21 14:48.50: Waiting for worker…
2025-03-21 14:50.06: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests


(from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195)
2025-03-21 14:55.31 ---> 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 14:55.31 ---> 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 14:57.27 ---> 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 14:57.28 ---> saved as "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 14:57.28 ---> 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 14:59.13 ---> saved as "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 14:59.14 ---> 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 14:59.24 ---> saved as "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 14:59.24 ---> saved as "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://security.ubuntu.com/ubuntu focal-security InRelease [128 kB]
- Hit:2 http://archive.ubuntu.com/ubuntu focal InRelease
- Get:3 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB]
- Get:4 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB]
- Get:5 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB]
- Get:6 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB]
- Get:7 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB]
- Get:8 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB]
- Get:9 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB]
- Get:10 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB]
- Get:11 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB]
- Get:12 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB]
- Fetched 21.5 MB in 3s (6936 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 ... 
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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 ...
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- Preparing to unpack .../8-libffi-dev_3.3-4_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.3-4) ...
- Setting up xdg-user-dirs (0.17-2ubuntu1) ...
- Setting up libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ...
- No schema files found: doing nothing.
- Setting up libffi-dev:amd64 (3.3-4) ...
- Setting up tzdata (2024b-0ubuntu0.20.04.1) ...
- 
- Current default time zone: 'Europe/London'
- Local time is now:      Fri Mar 21 15:00:18 GMT 2025.
- Universal Time is now:  Fri Mar 21 15:00:18 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 15:00.20 ---> 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_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (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_here.v0.17.0  (cached)
-> retrieved ppx_hash.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 ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_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 ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed re.1.12.0
-> 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 angstrom.0.16.1
-> installed sexplib.v0.17.0
-> 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 stdio.v0.17.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> 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_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:03.29 ---> saved as "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5"


/src: (copy (src .) (dst /src))
2025-03-21 15:03.30 ---> saved as "d448c9fddbaba0298f60f4077ac4b192ea42a9b5100b4e4a27451f31b150bb2a"


/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/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/2be27a95a7b611669e9964f33b04c903/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/140f2efa43649c1e4d9b740332c54623/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/140f2efa43649c1e4d9b740332c54623/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827
Batch=359, step=360, lr=0.198500, batch loss=1.335675, epoch loss=38.400502
Batch=419, step=420, lr=0.198500, batch loss=0.614384, epoch loss=39.014885
Batch=479, step=480, lr=0.198250, batch loss=0.794633, epoch loss=39.809519
Batch=539, step=540, lr=0.198000, batch loss=0.653623, epoch loss=40.463142
Batch=599, step=600, lr=0.197750, batch loss=1.083058, epoch loss=41.546200
Batch=659, step=660, lr=0.197500, batch loss=0.482886, epoch loss=42.029086
Batch=719, step=720, lr=0.197250, batch loss=0.412319, epoch loss=42.441404
Batch=779, step=780, lr=0.197000, batch loss=0.470744, epoch loss=42.912148
Batch=839, step=840, lr=0.196750, batch loss=0.445072, epoch loss=43.357220
Batch=899, step=900, lr=0.196500, batch loss=0.386119, epoch loss=43.743339
Batch=959, step=960, lr=0.196250, batch loss=0.243776, epoch loss=43.987115
Batch=1019, step=1020, lr=0.196000, batch loss=0.445740, epoch loss=44.432856
Batch=1079, step=1080, lr=0.195500, batch loss=0.250697, epoch loss=44.683553
Batch=1139, step=1140, lr=0.195500, batch loss=0.332729, epoch loss=45.016282
Batch=1199, step=1200, lr=0.195000, batch loss=0.264366, epoch loss=45.280647
Epoch=0, step=1200, lr=0.195000, epoch loss=45.280647
Batch=59, step=1260, lr=0.194750, batch loss=0.263382, epoch loss=0.263382
Batch=119, step=1320, lr=0.194500, batch loss=0.204941, epoch loss=0.468323
Batch=179, step=1380, lr=0.194500, batch loss=0.244500, epoch loss=0.712823
Batch=239, step=1440, lr=0.194250, batch loss=0.348201, epoch loss=1.061024
Batch=299, step=1500, lr=0.194000, batch loss=0.239456, epoch loss=1.300480
Batch=359, step=1560, lr=0.193750, batch loss=0.313298, epoch loss=1.613778
Batch=419, step=1620, lr=0.193250, batch loss=0.311440, epoch loss=1.925219
Batch=479, step=1680, lr=0.193000, batch loss=0.276441, epoch loss=2.201659
Batch=539, step=1740, lr=0.192750, batch loss=0.212068, epoch loss=2.413727
Batch=599, step=1800, lr=0.192750, batch loss=0.260978, epoch loss=2.674706
Batch=659, step=1860, lr=0.192500, batch loss=0.372973, epoch loss=3.047678
Batch=719, step=1920, lr=0.192250, batch loss=0.364856, epoch loss=3.412535
Batch=779, step=1980, lr=0.192000, batch loss=0.385631, epoch loss=3.798166
Batch=839, step=2040, lr=0.191750, batch loss=0.351503, epoch loss=4.149669
Batch=899, step=2100, lr=0.191500, batch loss=0.324521, epoch loss=4.474189
Batch=959, step=2160, lr=0.191250, batch loss=0.258125, epoch loss=4.732315
Batch=1019, step=2220, lr=0.191000, batch loss=0.395023, epoch loss=5.127338
Batch=1079, step=2280, lr=0.190750, batch loss=0.224252, epoch loss=5.351590
Batch=1139, step=2340, lr=0.190500, batch loss=0.263263, epoch loss=5.614853
Batch=1199, step=2400, lr=0.190250, batch loss=0.213595, epoch loss=5.828448
Epoch=1, step=2400, lr=0.190250, epoch loss=5.828448
Batch=59, step=2460, lr=0.190000, batch loss=0.231442, epoch loss=0.231442
Batch=119, step=2520, lr=0.189750, batch loss=0.198158, epoch loss=0.429600
Batch=179, step=2580, lr=0.189500, batch loss=0.222048, epoch loss=0.651648
Batch=239, step=2640, lr=0.189250, batch loss=0.330825, epoch loss=0.982473
Batch=299, step=2700, lr=0.189000, batch loss=0.206957, epoch loss=1.189430
Batch=359, step=2760, lr=0.188750, batch loss=0.293569, epoch loss=1.482999
Batch=419, step=2820, lr=0.188500, batch loss=0.283745, epoch loss=1.766744
Batch=479, step=2880, lr=0.188250, batch loss=0.262969, epoch loss=2.029714
Batch=539, step=2940, lr=0.188000, batch loss=0.199431, epoch loss=2.229145
Batch=599, step=3000, lr=0.187500, batch loss=0.247842, epoch loss=2.476987
Batch=659, step=3060, lr=0.187500, batch loss=0.349253, epoch loss=2.826240
Batch=719, step=3120, lr=0.187250, batch loss=0.344732, epoch loss=3.170971
Batch=779, step=3180, lr=0.187000, batch loss=0.369398, epoch loss=3.540369
Batch=839, step=3240, lr=0.186750, batch loss=0.324690, epoch loss=3.865059
Batch=899, step=3300, lr=0.186500, batch loss=0.283508, epoch loss=4.148568
Batch=959, step=3360, lr=0.186000, batch loss=0.223350, epoch loss=4.371918
Batch=1019, step=3420, lr=0.185750, batch loss=0.340318, epoch loss=4.712236
Batch=1079, step=3480, lr=0.185750, batch loss=0.190024, epoch loss=4.902260
Batch=1139, step=3540, lr=0.185500, batch loss=0.236533, epoch loss=5.138793
Batch=1199, step=3600, lr=0.185250, batch loss=0.200137, epoch loss=5.338930
Epoch=2, step=3600, lr=0.185250, epoch loss=5.338930
Batch=59, step=3660, lr=0.185000, batch loss=0.225131, epoch loss=0.225131
Batch=119, step=3720, lr=0.184750, batch loss=0.188381, epoch loss=0.413512
Batch=179, step=3780, lr=0.184500, batch loss=0.213104, epoch loss=0.626616
Batch=239, step=3840, lr=0.184250, batch loss=0.318971, epoch loss=0.945588
Batch=299, step=3900, lr=0.184000, batch loss=0.209974, epoch loss=1.155562
Batch=359, step=3960, lr=0.183750, batch loss=0.287343, epoch loss=1.442904
Batch=419, step=4020, lr=0.183500, batch loss=0.275294, epoch loss=1.718198
Batch=479, step=4080, lr=0.183250, batch loss=0.252297, epoch loss=1.970496
Batch=539, step=4140, lr=0.183000, batch loss=0.193899, epoch loss=2.164394
Batch=599, step=4200, lr=0.182500, batch loss=0.235495, epoch loss=2.399889
Batch=659, step=4260, lr=0.182500, batch loss=0.335122, epoch loss=2.735012
Batch=719, step=4320, lr=0.182250, batch loss=0.337570, epoch loss=3.072581
Batch=779, step=4380, lr=0.182000, batch loss=0.350666, epoch loss=3.423248
Batch=839, step=4440, lr=0.181750, batch loss=0.318770, epoch loss=3.742018
Batch=899, step=4500, lr=0.181500, batch loss=0.283271, epoch loss=4.025289
Batch=959, step=4560, lr=0.181250, batch loss=0.209180, epoch loss=4.234468
Batch=1019, step=4620, lr=0.181000, batch loss=0.341794, epoch loss=4.576262
Batch=1079, step=4680, lr=0.180750, batch loss=0.219350, epoch loss=4.795612
Batch=1139, step=4740, lr=0.180500, batch loss=0.248343, epoch loss=5.043956
Batch=1199, step=4800, lr=0.180250, batch loss=0.191885, epoch loss=5.235841
Epoch=3, step=4800, lr=0.180250, epoch loss=5.235841
Batch=59, step=4860, lr=0.180000, batch loss=0.222251, epoch loss=0.222251
Batch=119, step=4920, lr=0.179750, batch loss=0.188655, epoch loss=0.410907
Batch=179, step=4980, lr=0.179500, batch loss=0.206923, epoch loss=0.617830
Batch=239, step=5040, lr=0.179250, batch loss=0.308002, epoch loss=0.925832
Batch=299, step=5100, lr=0.179000, batch loss=0.200125, epoch loss=1.125957
Batch=359, step=5160, lr=0.178750, batch loss=0.275243, epoch loss=1.401199
Batch=419, step=5220, lr=0.178500, batch loss=0.264939, epoch loss=1.666139
Batch=479, step=5280, lr=0.178250, batch loss=0.241266, epoch loss=1.907404
Batch=539, step=5340, lr=0.177750, batch loss=0.188979, epoch loss=2.096383
Batch=599, step=5400, lr=0.177750, batch loss=0.233105, epoch loss=2.329488
Batch=659, step=5460, lr=0.177500, batch loss=0.323993, epoch loss=2.653481
Batch=719, step=5520, lr=0.177250, batch loss=0.322170, epoch loss=2.975651
Batch=779, step=5580, lr=0.177000, batch loss=0.344161, epoch loss=3.319812
Batch=839, step=5640, lr=0.176750, batch loss=0.310578, epoch loss=3.630390
Batch=899, step=5700, lr=0.176500, batch loss=0.273886, epoch loss=3.904276
Batch=959, step=5760, lr=0.176250, batch loss=0.216727, epoch loss=4.121004
Batch=1019, step=5820, lr=0.176000, batch loss=0.337587, epoch loss=4.458591
Batch=1079, step=5880, lr=0.175750, batch loss=0.188634, epoch loss=4.647225
Batch=1139, step=5940, lr=0.175500, batch loss=0.221743, epoch loss=4.868968
Batch=1199, step=6000, lr=0.175250, batch loss=0.187739, epoch loss=5.056707
Epoch=4, step=6000, lr=0.175250, epoch loss=5.056707
Batch=59, step=6060, lr=0.175000, batch loss=0.232035, epoch loss=0.232035
Batch=119, step=6120, lr=0.174750, batch loss=0.194347, epoch loss=0.426382
Batch=179, step=6180, lr=0.174250, batch loss=0.201787, epoch loss=0.628170
Batch=239, step=6240, lr=0.174250, batch loss=0.300306, epoch loss=0.928476
Batch=299, step=6300, lr=0.174000, batch loss=0.207748, epoch loss=1.136223
Batch=359, step=6360, lr=0.173750, batch loss=0.266808, epoch loss=1.403031
Batch=419, step=6420, lr=0.173500, batch loss=0.262476, epoch loss=1.665507
Batch=479, step=6480, lr=0.173250, batch loss=0.242505, epoch loss=1.908013
Batch=539, step=6540, lr=0.173000, batch loss=0.196302, epoch loss=2.104315
Batch=599, step=6600, lr=0.172750, batch loss=0.233561, epoch loss=2.337876
Batch=659, step=6660, lr=0.172500, batch loss=0.315267, epoch loss=2.653143
Batch=719, step=6720, lr=0.172250, batch loss=0.319783, epoch loss=2.972926
Batch=779, step=6780, lr=0.172000, batch loss=0.341249, epoch loss=3.314175
Batch=839, step=6840, lr=0.171750, batch loss=0.300177, epoch loss=3.614352
Batch=899, step=6900, lr=0.171500, batch loss=0.263227, epoch loss=3.877579
Batch=959, step=6960, lr=0.171250, batch loss=0.218184, epoch loss=4.095763
Batch=1019, step=7020, lr=0.171000, batch loss=0.325604, epoch loss=4.421367
Batch=1079, step=7080, lr=0.170750, batch loss=0.179550, epoch loss=4.600917
Batch=1139, step=7140, lr=0.170250, batch loss=0.217522, epoch loss=4.818439
Batch=1199, step=7200, lr=0.170250, batch loss=0.183658, epoch loss=5.002096
Epoch=5, step=7200, lr=0.170250, epoch loss=5.002096
Batch=59, step=7260, lr=0.170000, batch loss=0.240273, epoch loss=0.240273
Batch=119, step=7320, lr=0.169500, batch loss=0.180681, epoch loss=0.420954
Batch=179, step=7380, lr=0.169250, batch loss=0.196052, epoch loss=0.617006
Batch=239, step=7440, lr=0.169250, batch loss=0.293009, epoch loss=0.910016
Batch=299, step=7500, lr=0.169000, batch loss=0.208103, epoch loss=1.118118
Batch=359, step=7560, lr=0.168750, batch loss=0.264592, epoch loss=1.382710
Batch=419, step=7620, lr=0.168500, batch loss=0.260725, epoch loss=1.643436
Batch=479, step=7680, lr=0.168000, batch loss=0.235003, epoch loss=1.878439
Batch=539, step=7740, lr=0.167750, batch loss=0.192702, epoch loss=2.071141
Batch=599, step=7800, lr=0.167750, batch loss=0.228744, epoch loss=2.299884
Batch=659, step=7860, lr=0.167500, batch loss=0.306556, epoch loss=2.606440
Batch=719, step=7920, lr=0.167250, batch loss=0.310253, epoch loss=2.916692
Batch=779, step=7980, lr=0.167000, batch loss=0.330578, epoch loss=3.247271
Batch=839, step=8040, lr=0.166750, batch loss=0.292284, epoch loss=3.539554
Batch=899, step=8100, lr=0.166500, batch loss=0.260137, epoch loss=3.799691
Batch=959, step=8160, lr=0.166250, batch loss=0.200684, epoch loss=4.000375
Batch=1019, step=8220, lr=0.166000, batch loss=0.320949, epoch loss=4.321323
Batch=1079, step=8280, lr=0.165750, batch loss=0.184222, epoch loss=4.505545
Batch=1139, step=8340, lr=0.165500, batch loss=0.214704, epoch loss=4.720249
Batch=1199, step=8400, lr=0.165250, batch loss=0.173430, epoch loss=4.893680
Epoch=6, step=8400, lr=0.165250, epoch loss=4.893680
Batch=59, step=8460, lr=0.165000, batch loss=0.214963, epoch loss=0.214963
Batch=119, step=8520, lr=0.164750, batch loss=0.177342, epoch loss=0.392305
Batch=179, step=8580, lr=0.164500, batch loss=0.190353, epoch loss=0.582658
Batch=239, step=8640, lr=0.164250, batch loss=0.280870, epoch loss=0.863528
Batch=299, step=8700, lr=0.164000, batch loss=0.192122, epoch loss=1.055650
Batch=359, step=8760, lr=0.163750, batch loss=0.250198, epoch loss=1.305848
Batch=419, step=8820, lr=0.163500, batch loss=0.247455, epoch loss=1.553303
Batch=479, step=8880, lr=0.163250, batch loss=0.229695, epoch loss=1.782999
Batch=539, step=8940, lr=0.163000, batch loss=0.179032, epoch loss=1.962031
Batch=599, step=9000, lr=0.162750, batch loss=0.218240, epoch loss=2.180270
Batch=659, step=9060, lr=0.162500, batch loss=0.297560, epoch loss=2.477831
Batch=719, step=9120, lr=0.162000, batch loss=0.301097, epoch loss=2.778928
Batch=779, step=9180, lr=0.162000, batch loss=0.318876, epoch loss=3.097804
Batch=839, step=9240, lr=0.161750, batch loss=0.283891, epoch loss=3.381695
Batch=899, step=9300, lr=0.161250, batch loss=0.253142, epoch loss=3.634837
Batch=959, step=9360, lr=0.161250, batch loss=0.200827, epoch loss=3.835664
Batch=1019, step=9420, lr=0.161000, batch loss=0.307614, epoch loss=4.143278
Batch=1079, step=9480, lr=0.160750, batch loss=0.181074, epoch loss=4.324351
Batch=1139, step=9540, lr=0.160500, batch loss=0.209996, epoch loss=4.534347
Batch=1199, step=9600, lr=0.160250, batch loss=0.165929, epoch loss=4.700276
Epoch=7, step=9600, lr=0.160250, epoch loss=4.700276
Batch=59, step=9660, lr=0.160000, batch loss=0.198662, epoch loss=0.198662
Batch=119, step=9720, lr=0.159750, batch loss=0.166998, epoch loss=0.365660
Batch=179, step=9780, lr=0.159500, batch loss=0.181275, epoch loss=0.546935
Batch=239, step=9840, lr=0.159250, batch loss=0.263516, epoch loss=0.810451
Batch=299, step=9900, lr=0.159000, batch loss=0.184789, epoch loss=0.995240
Batch=359, step=9960, lr=0.158750, batch loss=0.242053, epoch loss=1.237293
Batch=419, step=10020, lr=0.158250, batch loss=0.235404, epoch loss=1.472697
Batch=479, step=10080, lr=0.158250, batch loss=0.215050, epoch loss=1.687747
Batch=539, step=10140, lr=0.158000, batch loss=0.172090, epoch loss=1.859837
Batch=599, step=10200, lr=0.157750, batch loss=0.202788, epoch loss=2.062625
Batch=659, step=10260, lr=0.157500, batch loss=0.285475, epoch loss=2.348101
Batch=719, step=10320, lr=0.157250, batch loss=0.281767, epoch loss=2.629868
Batch=779, step=10380, lr=0.156750, batch loss=0.302876, epoch loss=2.932744
Batch=839, step=10440, lr=0.156750, batch loss=0.274047, epoch loss=3.206790
Batch=899, step=10500, lr=0.156250, batch loss=0.242011, epoch loss=3.448802
Batch=959, step=10560, lr=0.156250, batch loss=0.199307, epoch loss=3.648109
Batch=1019, step=10620, lr=0.156000, batch loss=0.283978, epoch loss=3.932087
Batch=1079, step=10680, lr=0.155750, batch loss=0.165516, epoch loss=4.097603
Batch=1139, step=10740, lr=0.155500, batch loss=0.188199, epoch loss=4.285802
Batch=1199, step=10800, lr=0.155250, batch loss=0.155887, epoch loss=4.441689
Epoch=8, step=10800, lr=0.155250, epoch loss=4.441689
Batch=59, step=10860, lr=0.155000, batch loss=0.189732, epoch loss=0.189732
Batch=119, step=10920, lr=0.154750, batch loss=0.159393, epoch loss=0.349125
Batch=179, step=10980, lr=0.154500, batch loss=0.169688, epoch loss=0.518813
Batch=239, step=11040, lr=0.154250, batch loss=0.249154, epoch loss=0.767966
Batch=299, step=11100, lr=0.154000, batch loss=0.164653, epoch loss=0.932619
Batch=359, step=11160, lr=0.153750, batch loss=0.229611, epoch loss=1.162229
Batch=419, step=11220, lr=0.153500, batch loss=0.227926, epoch loss=1.390155
Batch=479, step=11280, lr=0.153250, batch loss=0.208234, epoch loss=1.598390
Batch=539, step=11340, lr=0.153000, batch loss=0.158163, epoch loss=1.756553
Batch=599, step=11400, lr=0.152500, batch loss=0.184970, epoch loss=1.941523
Batch=659, step=11460, lr=0.152250, batch loss=0.264740, epoch loss=2.206262
Batch=719, step=11520, lr=0.152000, batch loss=0.266022, epoch loss=2.472284
Batch=779, step=11580, lr=0.151750, batch loss=0.272796, epoch loss=2.745080
Batch=839, step=11640, lr=0.151750, batch loss=0.254431, epoch loss=2.999511
Batch=899, step=11700, lr=0.151500, batch loss=0.220017, epoch loss=3.219528
Batch=959, step=11760, lr=0.151250, batch loss=0.164020, epoch loss=3.383548
Batch=1019, step=11820, lr=0.151000, batch loss=0.263731, epoch loss=3.647279
Batch=1079, step=11880, lr=0.150750, batch loss=0.159451, epoch loss=3.806730
Batch=1139, step=11940, lr=0.150500, batch loss=0.192147, epoch loss=3.998877
Batch=1199, step=12000, lr=0.150250, batch loss=0.141692, epoch loss=4.140568
Epoch=9, step=12000, lr=0.150250, epoch loss=4.140568
Batch=59, step=12060, lr=0.150000, batch loss=0.160762, epoch loss=0.160762
Batch=119, step=12120, lr=0.149500, batch loss=0.129723, epoch loss=0.290486
Batch=179, step=12180, lr=0.149250, batch loss=0.154203, epoch loss=0.444688
Batch=239, step=12240, lr=0.149250, batch loss=0.223945, epoch loss=0.668633
Batch=299, step=12300, lr=0.149000, batch loss=0.142044, epoch loss=0.810678
Batch=359, step=12360, lr=0.148750, batch loss=0.192726, epoch loss=1.003403
Batch=419, step=12420, lr=0.148500, batch loss=0.186088, epoch loss=1.189492
Batch=479, step=12480, lr=0.148250, batch loss=0.162731, epoch loss=1.352222
Batch=539, step=12540, lr=0.147750, batch loss=0.131095, epoch loss=1.483317
Batch=599, step=12600, lr=0.147750, batch loss=0.153413, epoch loss=1.636730
Batch=659, step=12660, lr=0.147250, batch loss=0.218938, epoch loss=1.855668
Batch=719, step=12720, lr=0.147000, batch loss=0.215032, epoch loss=2.070700
Batch=779, step=12780, lr=0.146750, batch loss=0.239609, epoch loss=2.310309
Batch=839, step=12840, lr=0.146500, batch loss=0.235429, epoch loss=2.545739
Batch=899, step=12900, lr=0.146250, batch loss=0.231863, epoch loss=2.777602
Batch=959, step=12960, lr=0.146000, batch loss=0.146525, epoch loss=2.924127
Batch=1019, step=13020, lr=0.146000, batch loss=0.245276, epoch loss=3.169403
Batch=1079, step=13080, lr=0.145500, batch loss=0.108902, epoch loss=3.278305
Batch=1139, step=13140, lr=0.145500, batch loss=0.143835, epoch loss=3.422140
Batch=1199, step=13200, lr=0.145000, batch loss=0.123908, epoch loss=3.546048
Epoch=10, step=13200, lr=0.145000, epoch loss=3.546048
Batch=59, step=13260, lr=0.145000, batch loss=0.150618, epoch loss=0.150618
Batch=119, step=13320, lr=0.144750, batch loss=0.134414, epoch loss=0.285032
Batch=179, step=13380, lr=0.144500, batch loss=0.133061, epoch loss=0.418093
Batch=239, step=13440, lr=0.144000, batch loss=0.191586, epoch loss=0.609678
Batch=299, step=13500, lr=0.144000, batch loss=0.120036, epoch loss=0.729714
Batch=359, step=13560, lr=0.143750, batch loss=0.169014, epoch loss=0.898728
Batch=419, step=13620, lr=0.143500, batch loss=0.194234, epoch loss=1.092961
Batch=479, step=13680, lr=0.143250, batch loss=0.141608, epoch loss=1.234570
Batch=539, step=13740, lr=0.143000, batch loss=0.121222, epoch loss=1.355792
Batch=599, step=13800, lr=0.142750, batch loss=0.123743, epoch loss=1.479534
Batch=659, step=13860, lr=0.142500, batch loss=0.182599, epoch loss=1.662134
Batch=719, step=13920, lr=0.142250, batch loss=0.180042, epoch loss=1.842176
Batch=779, step=13980, lr=0.142000, batch loss=0.206108, epoch loss=2.048284
Batch=839, step=14040, lr=0.141500, batch loss=0.204431, epoch loss=2.252715
Batch=899, step=14100, lr=0.141250, batch loss=0.215141, epoch loss=2.467856
Batch=959, step=14160, lr=0.141250, batch loss=0.114599, epoch loss=2.582456
Batch=1019, step=14220, lr=0.141000, batch loss=0.194535, epoch loss=2.776990
Batch=1079, step=14280, lr=0.140750, batch loss=0.086266, epoch loss=2.863256
Batch=1139, step=14340, lr=0.140500, batch loss=0.138443, epoch loss=3.001699
Batch=1199, step=14400, lr=0.140250, batch loss=0.091493, epoch loss=3.093193
Epoch=11, step=14400, lr=0.140250, epoch loss=3.093193
Batch=59, step=14460, lr=0.140000, batch loss=0.109117, epoch loss=0.109117
Batch=119, step=14520, lr=0.139750, batch loss=0.102553, epoch loss=0.211670
Batch=179, step=14580, lr=0.139500, batch loss=0.102505, epoch loss=0.314175
Batch=239, step=14640, lr=0.139250, batch loss=0.152056, epoch loss=0.466231
Batch=299, step=14700, lr=0.138750, batch loss=0.116624, epoch loss=0.582856
Batch=359, step=14760, lr=0.138750, batch loss=0.137921, epoch loss=0.720777
Batch=419, step=14820, lr=0.138500, batch loss=0.168228, epoch loss=0.889005
Batch=479, step=14880, lr=0.138250, batch loss=0.091627, epoch loss=0.980632
Batch=539, step=14940, lr=0.137750, batch loss=0.073350, epoch loss=1.053982
Batch=599, step=15000, lr=0.137500, batch loss=0.093963, epoch loss=1.147945
Batch=659, step=15060, lr=0.137250, batch loss=0.135175, epoch loss=1.283120
Batch=719, step=15120, lr=0.137000, batch loss=0.124716, epoch loss=1.407835
Batch=779, step=15180, lr=0.136750, batch loss=0.128567, epoch loss=1.536402
Batch=839, step=15240, lr=0.136750, batch loss=0.162293, epoch loss=1.698696
Batch=899, step=15300, lr=0.136500, batch loss=0.233548, epoch loss=1.932243
Batch=959, step=15360, lr=0.136000, batch loss=0.057889, epoch loss=1.990133
Batch=1019, step=15420, lr=0.135750, batch loss=0.141737, epoch loss=2.131869
Batch=1079, step=15480, lr=0.135500, batch loss=0.052365, epoch loss=2.184234
Batch=1139, step=15540, lr=0.135250, batch loss=0.113120, epoch loss=2.297355
Batch=1199, step=15600, lr=0.135250, batch loss=0.059475, epoch loss=2.356829
Epoch=12, step=15600, lr=0.135250, epoch loss=2.356829
Batch=59, step=15660, lr=0.134750, batch loss=0.083600, epoch loss=0.083600
Batch=119, step=15720, lr=0.134500, batch loss=0.126929, epoch loss=0.210529
Batch=179, step=15780, lr=0.134250, batch loss=0.094426, epoch loss=0.304955
Batch=239, step=15840, lr=0.134000, batch loss=0.098610, epoch loss=0.403565
Batch=299, step=15900, lr=0.133750, batch loss=0.044982, epoch loss=0.448548
Batch=359, step=15960, lr=0.133750, batch loss=0.083605, epoch loss=0.532153
Batch=419, step=16020, lr=0.133500, batch loss=0.088232, epoch loss=0.620385
Batch=479, step=16080, lr=0.133250, batch loss=0.077689, epoch loss=0.698074
Batch=539, step=16140, lr=0.132750, batch loss=0.058188, epoch loss=0.756262
Batch=599, step=16200, lr=0.132500, batch loss=0.112508, epoch loss=0.868770
Batch=659, step=16260, lr=0.132250, batch loss=0.084169, epoch loss=0.952938
Batch=719, step=16320, lr=0.132000, batch loss=0.088127, epoch loss=1.041065
Batch=779, step=16380, lr=0.131750, batch loss=0.108879, epoch loss=1.149944
Batch=839, step=16440, lr=0.131750, batch loss=0.122645, epoch loss=1.272589
Batch=899, step=16500, lr=0.131250, batch loss=0.146108, epoch loss=1.418698
Batch=959, step=16560, lr=0.131000, batch loss=0.053422, epoch loss=1.472119
Batch=1019, step=16620, lr=0.130750, batch loss=0.133190, epoch loss=1.605309
Batch=1079, step=16680, lr=0.130750, batch loss=0.021610, epoch loss=1.626919
Batch=1139, step=16740, lr=0.130500, batch loss=0.048742, epoch loss=1.675662
Batch=1199, step=16800, lr=0.130250, batch loss=0.028084, epoch loss=1.703746
Epoch=13, step=16800, lr=0.130250, epoch loss=1.703746
Batch=59, step=16860, lr=0.130000, batch loss=0.041122, epoch loss=0.041122
Batch=119, step=16920, lr=0.129750, batch loss=0.067359, epoch loss=0.108481
Batch=179, step=16980, lr=0.129500, batch loss=0.055035, epoch loss=0.163516
Batch=239, step=17040, lr=0.129250, batch loss=0.070186, epoch loss=0.233701
Batch=299, step=17100, lr=0.129000, batch loss=0.045912, epoch loss=0.279613
Batch=359, step=17160, lr=0.128750, batch loss=0.065298, epoch loss=0.344911
Batch=419, step=17220, lr=0.128500, batch loss=0.131417, epoch loss=0.476329
Batch=479, step=17280, lr=0.128250, batch loss=0.030127, epoch loss=0.506456
Batch=539, step=17340, lr=0.128000, batch loss=0.034345, epoch loss=0.540801
Batch=599, step=17400, lr=0.127750, batch loss=0.057294, epoch loss=0.598095
Batch=659, step=17460, lr=0.127500, batch loss=0.052283, epoch loss=0.650378
Batch=719, step=17520, lr=0.127250, batch loss=0.046724, epoch loss=0.697102
Batch=779, step=17580, lr=0.127000, batch loss=0.063424, epoch loss=0.760526
Batch=839, step=17640, lr=0.126750, batch loss=0.081782, epoch loss=0.842308
Batch=899, step=17700, lr=0.126500, batch loss=0.115142, epoch loss=0.957450
Batch=959, step=17760, lr=0.126250, batch loss=0.038185, epoch loss=0.995635
Batch=1019, step=17820, lr=0.126000, batch loss=0.070945, epoch loss=1.066580
Batch=1079, step=17880, lr=0.125500, batch loss=0.022418, epoch loss=1.088998
Batch=1139, step=17940, lr=0.125500, batch loss=0.043370, epoch loss=1.132368
Batch=1199, step=18000, lr=0.125000, batch loss=0.018823, epoch loss=1.151191
Epoch=14, step=18000, lr=0.125000, epoch loss=1.151191
Batch=59, step=18060, lr=0.125000, batch loss=0.015084, epoch loss=0.015084
Batch=119, step=18120, lr=0.124750, batch loss=0.021297, epoch loss=0.036380
Batch=179, step=18180, lr=0.124500, batch loss=0.030593, epoch loss=0.066973
Batch=239, step=18240, lr=0.124250, batch loss=0.036707, epoch loss=0.103680
Batch=299, step=18300, lr=0.124000, batch loss=0.009707, epoch loss=0.113387
Batch=359, step=18360, lr=0.123750, batch loss=0.026496, epoch loss=0.139883
Batch=419, step=18420, lr=0.123250, batch loss=0.031555, epoch loss=0.171439
Batch=479, step=18480, lr=0.123250, batch loss=0.017633, epoch loss=0.189071
Batch=539, step=18540, lr=0.123000, batch loss=0.025223, epoch loss=0.214294
Batch=599, step=18600, lr=0.122750, batch loss=0.026173, epoch loss=0.240468
Batch=659, step=18660, lr=0.122500, batch loss=0.030924, epoch loss=0.271392
Batch=719, step=18720, lr=0.122250, batch loss=0.038817, epoch loss=0.310209
Batch=779, step=18780, lr=0.122000, batch loss=0.112244, epoch loss=0.422452
Batch=839, step=18840, lr=0.121750, batch loss=0.070135, epoch loss=0.492587
Batch=899, step=18900, lr=0.121500, batch loss=0.089410, epoch loss=0.581996
Batch=959, step=18960, lr=0.121250, batch loss=0.014643, epoch loss=0.596639
Batch=1019, step=19020, lr=0.121000, batch loss=0.027070, epoch loss=0.623709
Batch=1079, step=19080, lr=0.120750, batch loss=0.004248, epoch loss=0.627957
Batch=1139, step=19140, lr=0.120500, batch loss=0.021198, epoch loss=0.649155
Batch=1199, step=19200, lr=0.120250, batch loss=0.009553, epoch loss=0.658708
Epoch=15, step=19200, lr=0.120250, epoch loss=0.658708
Batch=59, step=19260, lr=0.119750, batch loss=0.004616, epoch loss=0.004616
Batch=119, step=19320, lr=0.119750, batch loss=0.011908, epoch loss=0.016524
Batch=179, step=19380, lr=0.119500, batch loss=0.020243, epoch loss=0.036766
Batch=239, step=19440, lr=0.119000, batch loss=0.022898, epoch loss=0.059665
Batch=299, step=19500, lr=0.119000, batch loss=0.019445, epoch loss=0.079110
Batch=359, step=19560, lr=0.118500, batch loss=0.033405, epoch loss=0.112515
Batch=419, step=19620, lr=0.118500, batch loss=0.021027, epoch loss=0.133543
Batch=479, step=19680, lr=0.118250, batch loss=0.007014, epoch loss=0.140557
Batch=539, step=19740, lr=0.118000, batch loss=0.020875, epoch loss=0.161432
Batch=599, step=19800, lr=0.117750, batch loss=0.030389, epoch loss=0.191821
Batch=659, step=19860, lr=0.117250, batch loss=0.017943, epoch loss=0.209764
Batch=719, step=19920, lr=0.117000, batch loss=0.039074, epoch loss=0.248838
Batch=779, step=19980, lr=0.117000, batch loss=0.081902, epoch loss=0.330739
Batch=839, step=20040, lr=0.116750, batch loss=0.031513, epoch loss=0.362252
Batch=899, step=20100, lr=0.116500, batch loss=0.035671, epoch loss=0.397922
Batch=959, step=20160, lr=0.116250, batch loss=0.011439, epoch loss=0.409362
Batch=1019, step=20220, lr=0.116000, batch loss=0.014290, epoch loss=0.423652
Batch=1079, step=20280, lr=0.115500, batch loss=0.002285, epoch loss=0.425937
Batch=1139, step=20340, lr=0.115500, batch loss=0.015157, epoch loss=0.441094
Batch=1199, step=20400, lr=0.115250, batch loss=0.008114, epoch loss=0.449208
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449208
Batch=59, step=20460, lr=0.115000, batch loss=0.003950, epoch loss=0.003950
Batch=119, step=20520, lr=0.114750, batch loss=0.008630, epoch loss=0.012580
Batch=179, step=20580, lr=0.114500, batch loss=0.015090, epoch loss=0.027671
Batch=239, step=20640, lr=0.114250, batch loss=0.014570, epoch loss=0.042241
Batch=299, step=20700, lr=0.114000, batch loss=0.004615, epoch loss=0.046856
Batch=359, step=20760, lr=0.113750, batch loss=0.013868, epoch loss=0.060725
Batch=419, step=20820, lr=0.113500, batch loss=0.014967, epoch loss=0.075691
Batch=479, step=20880, lr=0.113250, batch loss=0.006080, epoch loss=0.081772
Batch=539, step=20940, lr=0.113000, batch loss=0.016273, epoch loss=0.098045
Batch=599, step=21000, lr=0.112750, batch loss=0.018145, epoch loss=0.116190
Batch=659, step=21060, lr=0.112500, batch loss=0.014352, epoch loss=0.130542
Batch=719, step=21120, lr=0.112250, batch loss=0.044722, epoch loss=0.175264
Batch=779, step=21180, lr=0.112000, batch loss=0.071139, epoch loss=0.246404
Batch=839, step=21240, lr=0.111750, batch loss=0.026469, epoch loss=0.272872
Batch=899, step=21300, lr=0.111500, batch loss=0.037138, epoch loss=0.310010
Batch=959, step=21360, lr=0.111250, batch loss=0.010527, epoch loss=0.320537
Batch=1019, step=21420, lr=0.111000, batch loss=0.012185, epoch loss=0.332721
Batch=1079, step=21480, lr=0.110750, batch loss=0.001136, epoch loss=0.333857
Batch=1139, step=21540, lr=0.110500, batch loss=0.012716, epoch loss=0.346573
Batch=1199, step=21600, lr=0.110250, batch loss=0.005530, epoch loss=0.352103
Epoch=17, step=21600, lr=0.110250, epoch loss=0.352103
Batch=59, step=21660, lr=0.110000, batch loss=0.003093, epoch loss=0.003093
Batch=119, step=21720, lr=0.109750, batch loss=0.006808, epoch loss=0.009901
Batch=179, step=21780, lr=0.109500, batch loss=0.012550, epoch loss=0.022450
Batch=239, step=21840, lr=0.109250, batch loss=0.010371, epoch loss=0.032821
Batch=299, step=21900, lr=0.109000, batch loss=0.002723, epoch loss=0.035544
Batch=359, step=21960, lr=0.108750, batch loss=0.015904, epoch loss=0.051448
Batch=419, step=22020, lr=0.108500, batch loss=0.012522, epoch loss=0.063970
Batch=479, step=22080, lr=0.108250, batch loss=0.002675, epoch loss=0.066645
Batch=539, step=22140, lr=0.107750, batch loss=0.017462, epoch loss=0.084107
Batch=599, step=22200, lr=0.107750, batch loss=0.017290, epoch loss=0.101397
Batch=659, step=22260, lr=0.107500, batch loss=0.016031, epoch loss=0.117428
Batch=719, step=22320, lr=0.107250, batch loss=0.023013, epoch loss=0.140441
Batch=779, step=22380, lr=0.107000, batch loss=0.047897, epoch loss=0.188338
Batch=839, step=22440, lr=0.106500, batch loss=0.021763, epoch loss=0.210101
Batch=899, step=22500, lr=0.106500, batch loss=0.022531, epoch loss=0.232632
Batch=959, step=22560, lr=0.106000, batch loss=0.010237, epoch loss=0.242869
Batch=1019, step=22620, lr=0.106000, batch loss=0.009622, epoch loss=0.252491
Batch=1079, step=22680, lr=0.105750, batch loss=0.001007, epoch loss=0.253498
Batch=1139, step=22740, lr=0.105250, batch loss=0.011271, epoch loss=0.264769
Batch=1199, step=22800, lr=0.105250, batch loss=0.004623, epoch loss=0.269392
Epoch=18, step=22800, lr=0.105250, epoch loss=0.269392
Batch=59, step=22860, lr=0.104750, batch loss=0.001428, epoch loss=0.001428
Batch=119, step=22920, lr=0.104750, batch loss=0.005492, epoch loss=0.006919
Batch=179, step=22980, lr=0.104500, batch loss=0.010291, epoch loss=0.017211
Batch=239, step=23040, lr=0.104250, batch loss=0.009721, epoch loss=0.026932
Batch=299, step=23100, lr=0.104000, batch loss=0.009706, epoch loss=0.036638
Batch=359, step=23160, lr=0.103750, batch loss=0.012024, epoch loss=0.048662
Batch=419, step=23220, lr=0.103500, batch loss=0.011126, epoch loss=0.059788
Batch=479, step=23280, lr=0.103250, batch loss=0.004269, epoch loss=0.064057
Batch=539, step=23340, lr=0.103000, batch loss=0.013743, epoch loss=0.077800
Batch=599, step=23400, lr=0.102750, batch loss=0.015003, epoch loss=0.092803
Batch=659, step=23460, lr=0.102500, batch loss=0.015759, epoch loss=0.108562
Batch=719, step=23520, lr=0.102250, batch loss=0.015547, epoch loss=0.124109
Batch=779, step=23580, lr=0.102000, batch loss=0.020724, epoch loss=0.144832
Batch=839, step=23640, lr=0.101750, batch loss=0.027763, epoch loss=0.172596
Batch=899, step=23700, lr=0.101250, batch loss=0.021729, epoch loss=0.194325
Batch=959, step=23760, lr=0.101250, batch loss=0.009849, epoch loss=0.204174
Batch=1019, step=23820, lr=0.100750, batch loss=0.007174, epoch loss=0.211348
Batch=1079, step=23880, lr=0.100750, batch loss=0.001185, epoch loss=0.212534
Batch=1139, step=23940, lr=0.100500, batch loss=0.008381, epoch loss=0.220915
Batch=1199, step=24000, lr=0.100250, batch loss=0.004812, epoch loss=0.225727
Epoch=19, step=24000, lr=0.100250, epoch loss=0.225727


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:04.53 ---> saved as "b9ffa2d011d123ac3a026062ae42686b1e343cb02b3d46ff8557293863446020"
Job succeeded
2025-03-21 15:04.54: Job succeeded