ubuntu-24.04-5.3_opam-2.3

2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 367be265
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667
# ubuntu-24.04-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-20 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 14:55.23: Using OBuilder spec:
((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667)
(comment ubuntu-24.04-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 14:55.23: Waiting for resource in pool OCluster
2025-03-20 14:55.23: Waiting for worker…
2025-03-20 16:33.41: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at 367be265 Load log_level earlier to consistently log all settings


(from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667)
2025-03-20 16:38.38 ---> saved as "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c"


/: (comment ubuntu-24.04-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 16:38.38 ---> saved as "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c"


/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
Format upgrade done.
[NOTE] The 'jobs' option was reset, its value was 255 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=255 --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
2025-03-20 16:40.40 ---> saved as "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-20 16:40.41 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 16:40.42 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af"


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


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 16:42.30 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 16:42.31 ---> saved as "49ccd087f7d7123ad22e95829309c9c68b651627445e8127bbb6b5bc5de8089a"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 16:42.40 ---> saved as "d9f9a5483f7b706b2f6791e7be093a3d6a0cc5ef4dd57202b1037ea42ef297fb"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 16:42.40 ---> saved as "20a20da0a682b7158fc1d8d0d333b2e1252fe06160fc1dc7a53db647cedce36c"


/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 noble-security InRelease [126 kB]
- Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease
- Get:3 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB]
- Get:4 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB]
- Get:5 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB]
- Get:6 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1059 kB]
- Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB]
- Get:8 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB]
- Get:9 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB]
- Get:10 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1350 kB]
- Fetched 6681 kB in 2s (4014 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 libpkgconf3:amd64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 16365 files and directories currently installed.)
- Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package libffi-dev:amd64.
- Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libpkgconf3:amd64 (1.8.1-2build1) ...
- Setting up pkgconf-bin (1.8.1-2build1) ...
- Setting up pkgconf:amd64 (1.8.1-2build1) ...
- Setting up pkg-config:amd64 (1.8.1-2build1) ...
- Processing triggers for libc-bin (2.39-0ubuntu8.4) ...
2025-03-20 16:43.31 ---> saved as "169708568efe22a8acbe85b668d351f1cef187173c893ab59eb729fd76ba88d7"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> 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 uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed parsexp.v0.17.0
-> 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 fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 16:49.10 ---> saved as "127074d52528aa0969e5a0c1f5ada80af679f7500f706af87bcff57f6a304452"


/src: (copy (src .) (dst /src))
2025-03-20 16:49.12 ---> saved as "12a54168a27d016af4c069bf6d8b0e1170924edb18d2f48a91218bc92c3675f8"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test_ppx && ./test_ppx_op.exe)


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/4cfa50c13b0ed83ea27833512c93ca16/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196250, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245149, epoch loss=44.035556
Batch=1019, step=1020, lr=0.196000, batch loss=0.466512, epoch loss=44.502068
Batch=1079, step=1080, lr=0.195750, batch loss=0.248801, epoch loss=44.750869
Batch=1139, step=1140, lr=0.195500, batch loss=0.317443, epoch loss=45.068312
Batch=1199, step=1200, lr=0.195250, batch loss=0.263701, epoch loss=45.332012
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332012
Batch=59, step=1260, lr=0.195000, batch loss=0.262150, epoch loss=0.262150
Batch=119, step=1320, lr=0.194750, batch loss=0.205247, epoch loss=0.467397
Batch=179, step=1380, lr=0.194500, batch loss=0.243653, epoch loss=0.711049
Batch=239, step=1440, lr=0.194250, batch loss=0.347899, epoch loss=1.058948
Batch=299, step=1500, lr=0.194000, batch loss=0.247360, epoch loss=1.306308
Batch=359, step=1560, lr=0.193750, batch loss=0.316569, epoch loss=1.622877
Batch=419, step=1620, lr=0.193500, batch loss=0.312741, epoch loss=1.935618
Batch=479, step=1680, lr=0.193250, batch loss=0.276271, epoch loss=2.211889
Batch=539, step=1740, lr=0.193000, batch loss=0.209834, epoch loss=2.421723
Batch=599, step=1800, lr=0.192750, batch loss=0.250393, epoch loss=2.672116
Batch=659, step=1860, lr=0.192500, batch loss=0.367203, epoch loss=3.039319
Batch=719, step=1920, lr=0.192250, batch loss=0.354915, epoch loss=3.394234
Batch=779, step=1980, lr=0.192000, batch loss=0.381380, epoch loss=3.775614
Batch=839, step=2040, lr=0.191750, batch loss=0.339640, epoch loss=4.115254
Batch=899, step=2100, lr=0.191500, batch loss=0.295239, epoch loss=4.410492
Batch=959, step=2160, lr=0.191250, batch loss=0.214024, epoch loss=4.624516
Batch=1019, step=2220, lr=0.191000, batch loss=0.330977, epoch loss=4.955493
Batch=1079, step=2280, lr=0.190750, batch loss=0.208240, epoch loss=5.163733
Batch=1139, step=2340, lr=0.190500, batch loss=0.278370, epoch loss=5.442103
Batch=1199, step=2400, lr=0.190250, batch loss=0.220804, epoch loss=5.662907
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662907
Batch=59, step=2460, lr=0.190000, batch loss=0.230367, epoch loss=0.230367
Batch=119, step=2520, lr=0.189750, batch loss=0.195961, epoch loss=0.426327
Batch=179, step=2580, lr=0.189500, batch loss=0.221159, epoch loss=0.647486
Batch=239, step=2640, lr=0.189250, batch loss=0.328096, epoch loss=0.975582
Batch=299, step=2700, lr=0.189000, batch loss=0.202955, epoch loss=1.178538
Batch=359, step=2760, lr=0.188750, batch loss=0.289893, epoch loss=1.468431
Batch=419, step=2820, lr=0.188500, batch loss=0.281749, epoch loss=1.750180
Batch=479, step=2880, lr=0.188250, batch loss=0.264847, epoch loss=2.015027
Batch=539, step=2940, lr=0.188000, batch loss=0.203806, epoch loss=2.218833
Batch=599, step=3000, lr=0.187750, batch loss=0.248081, epoch loss=2.466913
Batch=659, step=3060, lr=0.187500, batch loss=0.345059, epoch loss=2.811973
Batch=719, step=3120, lr=0.187250, batch loss=0.343533, epoch loss=3.155506
Batch=779, step=3180, lr=0.187000, batch loss=0.366988, epoch loss=3.522493
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844272
Batch=899, step=3300, lr=0.186500, batch loss=0.283867, epoch loss=4.128139
Batch=959, step=3360, lr=0.186250, batch loss=0.214401, epoch loss=4.342540
Batch=1019, step=3420, lr=0.186000, batch loss=0.306407, epoch loss=4.648947
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826261
Batch=1139, step=3540, lr=0.185500, batch loss=0.235575, epoch loss=5.061836
Batch=1199, step=3600, lr=0.185250, batch loss=0.197919, epoch loss=5.259754
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259754
Batch=59, step=3660, lr=0.185000, batch loss=0.226536, epoch loss=0.226536
Batch=119, step=3720, lr=0.184750, batch loss=0.191803, epoch loss=0.418339
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629051
Batch=239, step=3840, lr=0.184250, batch loss=0.314101, epoch loss=0.943152
Batch=299, step=3900, lr=0.184000, batch loss=0.206019, epoch loss=1.149171
Batch=359, step=3960, lr=0.183750, batch loss=0.291250, epoch loss=1.440421
Batch=419, step=4020, lr=0.183500, batch loss=0.297443, epoch loss=1.737863
Batch=479, step=4080, lr=0.183250, batch loss=0.260510, epoch loss=1.998373
Batch=539, step=4140, lr=0.183000, batch loss=0.195238, epoch loss=2.193611
Batch=599, step=4200, lr=0.182750, batch loss=0.230392, epoch loss=2.424003
Batch=659, step=4260, lr=0.182500, batch loss=0.337138, epoch loss=2.761142
Batch=719, step=4320, lr=0.182250, batch loss=0.347110, epoch loss=3.108252
Batch=779, step=4380, lr=0.182000, batch loss=0.346323, epoch loss=3.454575
Batch=839, step=4440, lr=0.181750, batch loss=0.317768, epoch loss=3.772342
Batch=899, step=4500, lr=0.181500, batch loss=0.283911, epoch loss=4.056253
Batch=959, step=4560, lr=0.181250, batch loss=0.238349, epoch loss=4.294602
Batch=1019, step=4620, lr=0.181000, batch loss=0.336903, epoch loss=4.631506
Batch=1079, step=4680, lr=0.180750, batch loss=0.208576, epoch loss=4.840082
Batch=1139, step=4740, lr=0.180500, batch loss=0.249219, epoch loss=5.089301
Batch=1199, step=4800, lr=0.180250, batch loss=0.191776, epoch loss=5.281077
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281077
Batch=59, step=4860, lr=0.180000, batch loss=0.228071, epoch loss=0.228071
Batch=119, step=4920, lr=0.179750, batch loss=0.190226, epoch loss=0.418297
Batch=179, step=4980, lr=0.179500, batch loss=0.205906, epoch loss=0.624204
Batch=239, step=5040, lr=0.179250, batch loss=0.309062, epoch loss=0.933265
Batch=299, step=5100, lr=0.179000, batch loss=0.204603, epoch loss=1.137869
Batch=359, step=5160, lr=0.178750, batch loss=0.271138, epoch loss=1.409006
Batch=419, step=5220, lr=0.178500, batch loss=0.264059, epoch loss=1.673065
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912757
Batch=539, step=5340, lr=0.178000, batch loss=0.189457, epoch loss=2.102214
Batch=599, step=5400, lr=0.177750, batch loss=0.231011, epoch loss=2.333226
Batch=659, step=5460, lr=0.177500, batch loss=0.323600, epoch loss=2.656826
Batch=719, step=5520, lr=0.177250, batch loss=0.325855, epoch loss=2.982680
Batch=779, step=5580, lr=0.177000, batch loss=0.343185, epoch loss=3.325865
Batch=839, step=5640, lr=0.176750, batch loss=0.309337, epoch loss=3.635202
Batch=899, step=5700, lr=0.176500, batch loss=0.273177, epoch loss=3.908378
Batch=959, step=5760, lr=0.176250, batch loss=0.214895, epoch loss=4.123273
Batch=1019, step=5820, lr=0.176000, batch loss=0.339173, epoch loss=4.462446
Batch=1079, step=5880, lr=0.175750, batch loss=0.207803, epoch loss=4.670248
Batch=1139, step=5940, lr=0.175500, batch loss=0.240065, epoch loss=4.910313
Batch=1199, step=6000, lr=0.175250, batch loss=0.186873, epoch loss=5.097186
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097186
Batch=59, step=6060, lr=0.175000, batch loss=0.230513, epoch loss=0.230513
Batch=119, step=6120, lr=0.174750, batch loss=0.194301, epoch loss=0.424814
Batch=179, step=6180, lr=0.174500, batch loss=0.201542, epoch loss=0.626356
Batch=239, step=6240, lr=0.174250, batch loss=0.302372, epoch loss=0.928728
Batch=299, step=6300, lr=0.174000, batch loss=0.203946, epoch loss=1.132673
Batch=359, step=6360, lr=0.173750, batch loss=0.266106, epoch loss=1.398779
Batch=419, step=6420, lr=0.173500, batch loss=0.265295, epoch loss=1.664074
Batch=479, step=6480, lr=0.173250, batch loss=0.243311, epoch loss=1.907386
Batch=539, step=6540, lr=0.173000, batch loss=0.192988, epoch loss=2.100373
Batch=599, step=6600, lr=0.172750, batch loss=0.234487, epoch loss=2.334860
Batch=659, step=6660, lr=0.172500, batch loss=0.312113, epoch loss=2.646973
Batch=719, step=6720, lr=0.172250, batch loss=0.314208, epoch loss=2.961181
Batch=779, step=6780, lr=0.172000, batch loss=0.333233, epoch loss=3.294415
Batch=839, step=6840, lr=0.171750, batch loss=0.303746, epoch loss=3.598161
Batch=899, step=6900, lr=0.171500, batch loss=0.268478, epoch loss=3.866638
Batch=959, step=6960, lr=0.171250, batch loss=0.211005, epoch loss=4.077644
Batch=1019, step=7020, lr=0.171000, batch loss=0.329778, epoch loss=4.407422
Batch=1079, step=7080, lr=0.170750, batch loss=0.180626, epoch loss=4.588048
Batch=1139, step=7140, lr=0.170500, batch loss=0.216089, epoch loss=4.804137
Batch=1199, step=7200, lr=0.170250, batch loss=0.185677, epoch loss=4.989814
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989814
Batch=59, step=7260, lr=0.170000, batch loss=0.232483, epoch loss=0.232483
Batch=119, step=7320, lr=0.169750, batch loss=0.184589, epoch loss=0.417072
Batch=179, step=7380, lr=0.169500, batch loss=0.196603, epoch loss=0.613675
Batch=239, step=7440, lr=0.169250, batch loss=0.291669, epoch loss=0.905344
Batch=299, step=7500, lr=0.169000, batch loss=0.200904, epoch loss=1.106248
Batch=359, step=7560, lr=0.168500, batch loss=0.258539, epoch loss=1.364788
Batch=419, step=7620, lr=0.168500, batch loss=0.257332, epoch loss=1.622119
Batch=479, step=7680, lr=0.168250, batch loss=0.235390, epoch loss=1.857509
Batch=539, step=7740, lr=0.167750, batch loss=0.188495, epoch loss=2.046004
Batch=599, step=7800, lr=0.167500, batch loss=0.223172, epoch loss=2.269176
Batch=659, step=7860, lr=0.167250, batch loss=0.306291, epoch loss=2.575467
Batch=719, step=7920, lr=0.167250, batch loss=0.308705, epoch loss=2.884171
Batch=779, step=7980, lr=0.167000, batch loss=0.330558, epoch loss=3.214729
Batch=839, step=8040, lr=0.166750, batch loss=0.292059, epoch loss=3.506788
Batch=899, step=8100, lr=0.166500, batch loss=0.262236, epoch loss=3.769023
Batch=959, step=8160, lr=0.166250, batch loss=0.192475, epoch loss=3.961498
Batch=1019, step=8220, lr=0.166000, batch loss=0.291069, epoch loss=4.252567
Batch=1079, step=8280, lr=0.165750, batch loss=0.184342, epoch loss=4.436909
Batch=1139, step=8340, lr=0.165500, batch loss=0.216249, epoch loss=4.653158
Batch=1199, step=8400, lr=0.165250, batch loss=0.172771, epoch loss=4.825929
Epoch=6, step=8400, lr=0.165250, epoch loss=4.825929
Batch=59, step=8460, lr=0.165000, batch loss=0.212083, epoch loss=0.212083
Batch=119, step=8520, lr=0.164500, batch loss=0.177912, epoch loss=0.389995
Batch=179, step=8580, lr=0.164500, batch loss=0.188666, epoch loss=0.578661
Batch=239, step=8640, lr=0.164000, batch loss=0.278147, epoch loss=0.856808
Batch=299, step=8700, lr=0.164000, batch loss=0.193644, epoch loss=1.050452
Batch=359, step=8760, lr=0.163750, batch loss=0.247335, epoch loss=1.297787
Batch=419, step=8820, lr=0.163500, batch loss=0.245177, epoch loss=1.542964
Batch=479, step=8880, lr=0.163000, batch loss=0.229359, epoch loss=1.772324
Batch=539, step=8940, lr=0.163000, batch loss=0.177380, epoch loss=1.949704
Batch=599, step=9000, lr=0.162500, batch loss=0.217746, epoch loss=2.167450
Batch=659, step=9060, lr=0.162250, batch loss=0.294822, epoch loss=2.462272
Batch=719, step=9120, lr=0.162000, batch loss=0.299727, epoch loss=2.761998
Batch=779, step=9180, lr=0.161750, batch loss=0.316169, epoch loss=3.078167
Batch=839, step=9240, lr=0.161500, batch loss=0.282135, epoch loss=3.360303
Batch=899, step=9300, lr=0.161500, batch loss=0.250430, epoch loss=3.610733
Batch=959, step=9360, lr=0.161250, batch loss=0.198485, epoch loss=3.809218
Batch=1019, step=9420, lr=0.160750, batch loss=0.306720, epoch loss=4.115938
Batch=1079, step=9480, lr=0.160750, batch loss=0.191767, epoch loss=4.307705
Batch=1139, step=9540, lr=0.160250, batch loss=0.216075, epoch loss=4.523780
Batch=1199, step=9600, lr=0.160000, batch loss=0.165563, epoch loss=4.689343
Epoch=7, step=9600, lr=0.160000, epoch loss=4.689343
Batch=59, step=9660, lr=0.159750, batch loss=0.198900, epoch loss=0.198900
Batch=119, step=9720, lr=0.159750, batch loss=0.164469, epoch loss=0.363369
Batch=179, step=9780, lr=0.159500, batch loss=0.179023, epoch loss=0.542393
Batch=239, step=9840, lr=0.159250, batch loss=0.263715, epoch loss=0.806107
Batch=299, step=9900, lr=0.159000, batch loss=0.179184, epoch loss=0.985291
Batch=359, step=9960, lr=0.158750, batch loss=0.244027, epoch loss=1.229318
Batch=419, step=10020, lr=0.158500, batch loss=0.245315, epoch loss=1.474634
Batch=479, step=10080, lr=0.158250, batch loss=0.221713, epoch loss=1.696347
Batch=539, step=10140, lr=0.158000, batch loss=0.170587, epoch loss=1.866934
Batch=599, step=10200, lr=0.157750, batch loss=0.204108, epoch loss=2.071041
Batch=659, step=10260, lr=0.157500, batch loss=0.280131, epoch loss=2.351173
Batch=719, step=10320, lr=0.157250, batch loss=0.284739, epoch loss=2.635912
Batch=779, step=10380, lr=0.157000, batch loss=0.294275, epoch loss=2.930187
Batch=839, step=10440, lr=0.156750, batch loss=0.265949, epoch loss=3.196136
Batch=899, step=10500, lr=0.156500, batch loss=0.237864, epoch loss=3.433999
Batch=959, step=10560, lr=0.156000, batch loss=0.176706, epoch loss=3.610705
Batch=1019, step=10620, lr=0.156000, batch loss=0.300596, epoch loss=3.911301
Batch=1079, step=10680, lr=0.155500, batch loss=0.176346, epoch loss=4.087647
Batch=1139, step=10740, lr=0.155250, batch loss=0.200629, epoch loss=4.288277
Batch=1199, step=10800, lr=0.155250, batch loss=0.154685, epoch loss=4.442962
Epoch=8, step=10800, lr=0.155250, epoch loss=4.442962
Batch=59, step=10860, lr=0.154750, batch loss=0.177159, epoch loss=0.177159
Batch=119, step=10920, lr=0.154500, batch loss=0.151293, epoch loss=0.328452
Batch=179, step=10980, lr=0.154500, batch loss=0.166155, epoch loss=0.494607
Batch=239, step=11040, lr=0.154000, batch loss=0.246745, epoch loss=0.741353
Batch=299, step=11100, lr=0.153750, batch loss=0.168287, epoch loss=0.909639
Batch=359, step=11160, lr=0.153750, batch loss=0.221165, epoch loss=1.130804
Batch=419, step=11220, lr=0.153500, batch loss=0.219230, epoch loss=1.350034
Batch=479, step=11280, lr=0.153000, batch loss=0.209755, epoch loss=1.559789
Batch=539, step=11340, lr=0.153000, batch loss=0.159543, epoch loss=1.719333
Batch=599, step=11400, lr=0.152750, batch loss=0.178017, epoch loss=1.897349
Batch=659, step=11460, lr=0.152250, batch loss=0.265185, epoch loss=2.162535
Batch=719, step=11520, lr=0.152250, batch loss=0.257551, epoch loss=2.420086
Batch=779, step=11580, lr=0.151750, batch loss=0.273928, epoch loss=2.694014
Batch=839, step=11640, lr=0.151500, batch loss=0.255112, epoch loss=2.949125
Batch=899, step=11700, lr=0.151250, batch loss=0.213335, epoch loss=3.162460
Batch=959, step=11760, lr=0.151000, batch loss=0.166495, epoch loss=3.328955
Batch=1019, step=11820, lr=0.150750, batch loss=0.266667, epoch loss=3.595622
Batch=1079, step=11880, lr=0.150750, batch loss=0.148959, epoch loss=3.744581
Batch=1139, step=11940, lr=0.150250, batch loss=0.185957, epoch loss=3.930538
Batch=1199, step=12000, lr=0.150000, batch loss=0.139115, epoch loss=4.069653
Epoch=9, step=12000, lr=0.150000, epoch loss=4.069653
Batch=59, step=12060, lr=0.150000, batch loss=0.157709, epoch loss=0.157709
Batch=119, step=12120, lr=0.149500, batch loss=0.128135, epoch loss=0.285845
Batch=179, step=12180, lr=0.149250, batch loss=0.152864, epoch loss=0.438708
Batch=239, step=12240, lr=0.149000, batch loss=0.218922, epoch loss=0.657630
Batch=299, step=12300, lr=0.148750, batch loss=0.139972, epoch loss=0.797602
Batch=359, step=12360, lr=0.148750, batch loss=0.196714, epoch loss=0.994316
Batch=419, step=12420, lr=0.148250, batch loss=0.205209, epoch loss=1.199525
Batch=479, step=12480, lr=0.148000, batch loss=0.179739, epoch loss=1.379264
Batch=539, step=12540, lr=0.148000, batch loss=0.141907, epoch loss=1.521172
Batch=599, step=12600, lr=0.147500, batch loss=0.150931, epoch loss=1.672103
Batch=659, step=12660, lr=0.147250, batch loss=0.223754, epoch loss=1.895857
Batch=719, step=12720, lr=0.147000, batch loss=0.233018, epoch loss=2.128874
Batch=779, step=12780, lr=0.146750, batch loss=0.254454, epoch loss=2.383328
Batch=839, step=12840, lr=0.146500, batch loss=0.234364, epoch loss=2.617692
Batch=899, step=12900, lr=0.146250, batch loss=0.230633, epoch loss=2.848325
Batch=959, step=12960, lr=0.146000, batch loss=0.139778, epoch loss=2.988103
Batch=1019, step=13020, lr=0.145750, batch loss=0.220883, epoch loss=3.208986
Batch=1079, step=13080, lr=0.145500, batch loss=0.107636, epoch loss=3.316622
Batch=1139, step=13140, lr=0.145250, batch loss=0.144478, epoch loss=3.461100
Batch=1199, step=13200, lr=0.145000, batch loss=0.117543, epoch loss=3.578643
Epoch=10, step=13200, lr=0.145000, epoch loss=3.578643
Batch=59, step=13260, lr=0.144750, batch loss=0.144403, epoch loss=0.144403
Batch=119, step=13320, lr=0.144500, batch loss=0.125955, epoch loss=0.270358
Batch=179, step=13380, lr=0.144250, batch loss=0.128873, epoch loss=0.399231
Batch=239, step=13440, lr=0.144250, batch loss=0.191467, epoch loss=0.590697
Batch=299, step=13500, lr=0.143750, batch loss=0.117359, epoch loss=0.708056
Batch=359, step=13560, lr=0.143500, batch loss=0.162938, epoch loss=0.870994
Batch=419, step=13620, lr=0.143250, batch loss=0.160126, epoch loss=1.031120
Batch=479, step=13680, lr=0.143000, batch loss=0.147063, epoch loss=1.178183
Batch=539, step=13740, lr=0.143000, batch loss=0.116277, epoch loss=1.294460
Batch=599, step=13800, lr=0.142750, batch loss=0.120267, epoch loss=1.414727
Batch=659, step=13860, lr=0.142250, batch loss=0.179626, epoch loss=1.594353
Batch=719, step=13920, lr=0.142000, batch loss=0.194689, epoch loss=1.789042
Batch=779, step=13980, lr=0.141750, batch loss=0.234591, epoch loss=2.023633
Batch=839, step=14040, lr=0.141500, batch loss=0.196447, epoch loss=2.220080
Batch=899, step=14100, lr=0.141500, batch loss=0.198599, epoch loss=2.418679
Batch=959, step=14160, lr=0.141000, batch loss=0.116538, epoch loss=2.535217
Batch=1019, step=14220, lr=0.140750, batch loss=0.193507, epoch loss=2.728724
Batch=1079, step=14280, lr=0.140500, batch loss=0.078313, epoch loss=2.807037
Batch=1139, step=14340, lr=0.140250, batch loss=0.120167, epoch loss=2.927203
Batch=1199, step=14400, lr=0.140000, batch loss=0.086363, epoch loss=3.013566
Epoch=11, step=14400, lr=0.140000, epoch loss=3.013566
Batch=59, step=14460, lr=0.139750, batch loss=0.104922, epoch loss=0.104922
Batch=119, step=14520, lr=0.139500, batch loss=0.099736, epoch loss=0.204658
Batch=179, step=14580, lr=0.139500, batch loss=0.100189, epoch loss=0.304847
Batch=239, step=14640, lr=0.139000, batch loss=0.140727, epoch loss=0.445573
Batch=299, step=14700, lr=0.138750, batch loss=0.074653, epoch loss=0.520226
Batch=359, step=14760, lr=0.138750, batch loss=0.122493, epoch loss=0.642719
Batch=419, step=14820, lr=0.138250, batch loss=0.128626, epoch loss=0.771346
Batch=479, step=14880, lr=0.138000, batch loss=0.104104, epoch loss=0.875450
Batch=539, step=14940, lr=0.138000, batch loss=0.118954, epoch loss=0.994404
Batch=599, step=15000, lr=0.137750, batch loss=0.085001, epoch loss=1.079405
Batch=659, step=15060, lr=0.137250, batch loss=0.140639, epoch loss=1.220044
Batch=719, step=15120, lr=0.137250, batch loss=0.160494, epoch loss=1.380538
Batch=779, step=15180, lr=0.137000, batch loss=0.255039, epoch loss=1.635577
Batch=839, step=15240, lr=0.136750, batch loss=0.135999, epoch loss=1.771576
Batch=899, step=15300, lr=0.136250, batch loss=0.147981, epoch loss=1.919557
Batch=959, step=15360, lr=0.136250, batch loss=0.072755, epoch loss=1.992312
Batch=1019, step=15420, lr=0.135750, batch loss=0.169596, epoch loss=2.161908
Batch=1079, step=15480, lr=0.135750, batch loss=0.036996, epoch loss=2.198904
Batch=1139, step=15540, lr=0.135500, batch loss=0.087375, epoch loss=2.286279
Batch=1199, step=15600, lr=0.135250, batch loss=0.056164, epoch loss=2.342443
Epoch=12, step=15600, lr=0.135250, epoch loss=2.342443
Batch=59, step=15660, lr=0.135000, batch loss=0.084791, epoch loss=0.084791
Batch=119, step=15720, lr=0.134750, batch loss=0.147161, epoch loss=0.231952
Batch=179, step=15780, lr=0.134500, batch loss=0.102230, epoch loss=0.334182
Batch=239, step=15840, lr=0.134000, batch loss=0.100391, epoch loss=0.434573
Batch=299, step=15900, lr=0.134000, batch loss=0.043902, epoch loss=0.478475
Batch=359, step=15960, lr=0.133750, batch loss=0.083553, epoch loss=0.562028
Batch=419, step=16020, lr=0.133500, batch loss=0.079583, epoch loss=0.641611
Batch=479, step=16080, lr=0.133250, batch loss=0.061550, epoch loss=0.703161
Batch=539, step=16140, lr=0.133000, batch loss=0.061090, epoch loss=0.764251
Batch=599, step=16200, lr=0.132750, batch loss=0.136941, epoch loss=0.901193
Batch=659, step=16260, lr=0.132250, batch loss=0.084176, epoch loss=0.985368
Batch=719, step=16320, lr=0.132250, batch loss=0.119958, epoch loss=1.105326
Batch=779, step=16380, lr=0.132000, batch loss=0.300493, epoch loss=1.405820
Batch=839, step=16440, lr=0.131500, batch loss=0.092828, epoch loss=1.498648
Batch=899, step=16500, lr=0.131500, batch loss=0.079040, epoch loss=1.577687
Batch=959, step=16560, lr=0.131000, batch loss=0.032648, epoch loss=1.610335
Batch=1019, step=16620, lr=0.131000, batch loss=0.072617, epoch loss=1.682952
Batch=1079, step=16680, lr=0.130750, batch loss=0.049068, epoch loss=1.732020
Batch=1139, step=16740, lr=0.130500, batch loss=0.079735, epoch loss=1.811755
Batch=1199, step=16800, lr=0.130250, batch loss=0.037992, epoch loss=1.849747
Epoch=13, step=16800, lr=0.130250, epoch loss=1.849747
Batch=59, step=16860, lr=0.130000, batch loss=0.033663, epoch loss=0.033663
Batch=119, step=16920, lr=0.129750, batch loss=0.036694, epoch loss=0.070357
Batch=179, step=16980, lr=0.129500, batch loss=0.043692, epoch loss=0.114049
Batch=239, step=17040, lr=0.129250, batch loss=0.061482, epoch loss=0.175531
Batch=299, step=17100, lr=0.128750, batch loss=0.025836, epoch loss=0.201366
Batch=359, step=17160, lr=0.128750, batch loss=0.055122, epoch loss=0.256489
Batch=419, step=17220, lr=0.128250, batch loss=0.094943, epoch loss=0.351432
Batch=479, step=17280, lr=0.128250, batch loss=0.025383, epoch loss=0.376814
Batch=539, step=17340, lr=0.128000, batch loss=0.027189, epoch loss=0.404004
Batch=599, step=17400, lr=0.127750, batch loss=0.040106, epoch loss=0.444110
Batch=659, step=17460, lr=0.127250, batch loss=0.054531, epoch loss=0.498641
Batch=719, step=17520, lr=0.127250, batch loss=0.057362, epoch loss=0.556003
Batch=779, step=17580, lr=0.126750, batch loss=0.065384, epoch loss=0.621387
Batch=839, step=17640, lr=0.126500, batch loss=0.099950, epoch loss=0.721337
Batch=899, step=17700, lr=0.126500, batch loss=0.049619, epoch loss=0.770957
Batch=959, step=17760, lr=0.126000, batch loss=0.019776, epoch loss=0.790733
Batch=1019, step=17820, lr=0.126000, batch loss=0.052470, epoch loss=0.843203
Batch=1079, step=17880, lr=0.125750, batch loss=0.050046, epoch loss=0.893249
Batch=1139, step=17940, lr=0.125500, batch loss=0.101177, epoch loss=0.994426
Batch=1199, step=18000, lr=0.125250, batch loss=0.023334, epoch loss=1.017760
Epoch=14, step=18000, lr=0.125250, epoch loss=1.017760
Batch=59, step=18060, lr=0.125000, batch loss=0.018462, epoch loss=0.018462
Batch=119, step=18120, lr=0.124750, batch loss=0.020741, epoch loss=0.039203
Batch=179, step=18180, lr=0.124500, batch loss=0.030464, epoch loss=0.069667
Batch=239, step=18240, lr=0.124250, batch loss=0.042321, epoch loss=0.111988
Batch=299, step=18300, lr=0.124000, batch loss=0.017311, epoch loss=0.129300
Batch=359, step=18360, lr=0.123750, batch loss=0.026642, epoch loss=0.155941
Batch=419, step=18420, lr=0.123500, batch loss=0.028203, epoch loss=0.184144
Batch=479, step=18480, lr=0.123250, batch loss=0.019990, epoch loss=0.204134
Batch=539, step=18540, lr=0.123000, batch loss=0.042461, epoch loss=0.246595
Batch=599, step=18600, lr=0.122750, batch loss=0.027100, epoch loss=0.273695
Batch=659, step=18660, lr=0.122500, batch loss=0.032180, epoch loss=0.305875
Batch=719, step=18720, lr=0.122250, batch loss=0.033884, epoch loss=0.339760
Batch=779, step=18780, lr=0.122000, batch loss=0.083870, epoch loss=0.423630
Batch=839, step=18840, lr=0.121750, batch loss=0.055101, epoch loss=0.478731
Batch=899, step=18900, lr=0.121500, batch loss=0.059462, epoch loss=0.538193
Batch=959, step=18960, lr=0.121250, batch loss=0.013461, epoch loss=0.551655
Batch=1019, step=19020, lr=0.121000, batch loss=0.022559, epoch loss=0.574213
Batch=1079, step=19080, lr=0.120750, batch loss=0.010146, epoch loss=0.584360
Batch=1139, step=19140, lr=0.120500, batch loss=0.023180, epoch loss=0.607539
Batch=1199, step=19200, lr=0.120250, batch loss=0.008802, epoch loss=0.616341
Epoch=15, step=19200, lr=0.120250, epoch loss=0.616341
Batch=59, step=19260, lr=0.120000, batch loss=0.004357, epoch loss=0.004357
Batch=119, step=19320, lr=0.119750, batch loss=0.016525, epoch loss=0.020881
Batch=179, step=19380, lr=0.119500, batch loss=0.041661, epoch loss=0.062543
Batch=239, step=19440, lr=0.119250, batch loss=0.021532, epoch loss=0.084075
Batch=299, step=19500, lr=0.119000, batch loss=0.007378, epoch loss=0.091453
Batch=359, step=19560, lr=0.118750, batch loss=0.016873, epoch loss=0.108326
Batch=419, step=19620, lr=0.118500, batch loss=0.020361, epoch loss=0.128687
Batch=479, step=19680, lr=0.118250, batch loss=0.007459, epoch loss=0.136147
Batch=539, step=19740, lr=0.118000, batch loss=0.016628, epoch loss=0.152774
Batch=599, step=19800, lr=0.117750, batch loss=0.023650, epoch loss=0.176425
Batch=659, step=19860, lr=0.117500, batch loss=0.019561, epoch loss=0.195986
Batch=719, step=19920, lr=0.117250, batch loss=0.049014, epoch loss=0.245001
Batch=779, step=19980, lr=0.117000, batch loss=0.082784, epoch loss=0.327784
Batch=839, step=20040, lr=0.116750, batch loss=0.031860, epoch loss=0.359645
Batch=899, step=20100, lr=0.116500, batch loss=0.033838, epoch loss=0.393483
Batch=959, step=20160, lr=0.116250, batch loss=0.011833, epoch loss=0.405315
Batch=1019, step=20220, lr=0.116000, batch loss=0.013624, epoch loss=0.418940
Batch=1079, step=20280, lr=0.115750, batch loss=0.003518, epoch loss=0.422458
Batch=1139, step=20340, lr=0.115500, batch loss=0.019296, epoch loss=0.441754
Batch=1199, step=20400, lr=0.115250, batch loss=0.007534, epoch loss=0.449288
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449288
Batch=59, step=20460, lr=0.115000, batch loss=0.003348, epoch loss=0.003348
Batch=119, step=20520, lr=0.114750, batch loss=0.008907, epoch loss=0.012255
Batch=179, step=20580, lr=0.114500, batch loss=0.016480, epoch loss=0.028735
Batch=239, step=20640, lr=0.114250, batch loss=0.022380, epoch loss=0.051114
Batch=299, step=20700, lr=0.114000, batch loss=0.010313, epoch loss=0.061427
Batch=359, step=20760, lr=0.113750, batch loss=0.014269, epoch loss=0.075696
Batch=419, step=20820, lr=0.113500, batch loss=0.014751, epoch loss=0.090447
Batch=479, step=20880, lr=0.113250, batch loss=0.004754, epoch loss=0.095201
Batch=539, step=20940, lr=0.113000, batch loss=0.015529, epoch loss=0.110730
Batch=599, step=21000, lr=0.112750, batch loss=0.018669, epoch loss=0.129398
Batch=659, step=21060, lr=0.112500, batch loss=0.015394, epoch loss=0.144792
Batch=719, step=21120, lr=0.112250, batch loss=0.043944, epoch loss=0.188736
Batch=779, step=21180, lr=0.112000, batch loss=0.072272, epoch loss=0.261008
Batch=839, step=21240, lr=0.111750, batch loss=0.026892, epoch loss=0.287899
Batch=899, step=21300, lr=0.111500, batch loss=0.027616, epoch loss=0.315516
Batch=959, step=21360, lr=0.111250, batch loss=0.009962, epoch loss=0.325478
Batch=1019, step=21420, lr=0.111000, batch loss=0.011127, epoch loss=0.336605
Batch=1079, step=21480, lr=0.110750, batch loss=0.001403, epoch loss=0.338008
Batch=1139, step=21540, lr=0.110500, batch loss=0.012899, epoch loss=0.350907
Batch=1199, step=21600, lr=0.110250, batch loss=0.005316, epoch loss=0.356224
Epoch=17, step=21600, lr=0.110250, epoch loss=0.356224
Batch=59, step=21660, lr=0.110000, batch loss=0.002764, epoch loss=0.002764
Batch=119, step=21720, lr=0.109750, batch loss=0.006518, epoch loss=0.009282
Batch=179, step=21780, lr=0.109500, batch loss=0.013002, epoch loss=0.022284
Batch=239, step=21840, lr=0.109250, batch loss=0.010443, epoch loss=0.032727
Batch=299, step=21900, lr=0.109000, batch loss=0.001709, epoch loss=0.034436
Batch=359, step=21960, lr=0.108750, batch loss=0.010778, epoch loss=0.045215
Batch=419, step=22020, lr=0.108500, batch loss=0.011650, epoch loss=0.056864
Batch=479, step=22080, lr=0.108250, batch loss=0.003551, epoch loss=0.060415
Batch=539, step=22140, lr=0.108000, batch loss=0.016197, epoch loss=0.076612
Batch=599, step=22200, lr=0.107750, batch loss=0.015296, epoch loss=0.091908
Batch=659, step=22260, lr=0.107500, batch loss=0.012882, epoch loss=0.104790
Batch=719, step=22320, lr=0.107250, batch loss=0.026915, epoch loss=0.131705
Batch=779, step=22380, lr=0.107000, batch loss=0.039596, epoch loss=0.171301
Batch=839, step=22440, lr=0.106750, batch loss=0.021739, epoch loss=0.193040
Batch=899, step=22500, lr=0.106500, batch loss=0.024802, epoch loss=0.217843
Batch=959, step=22560, lr=0.106250, batch loss=0.008898, epoch loss=0.226740
Batch=1019, step=22620, lr=0.106000, batch loss=0.009005, epoch loss=0.235745
Batch=1079, step=22680, lr=0.105750, batch loss=0.000358, epoch loss=0.236103
Batch=1139, step=22740, lr=0.105500, batch loss=0.010856, epoch loss=0.246959
Batch=1199, step=22800, lr=0.105250, batch loss=0.004490, epoch loss=0.251448
Epoch=18, step=22800, lr=0.105250, epoch loss=0.251448
Batch=59, step=22860, lr=0.105000, batch loss=0.001947, epoch loss=0.001947
Batch=119, step=22920, lr=0.104750, batch loss=0.005474, epoch loss=0.007422
Batch=179, step=22980, lr=0.104500, batch loss=0.010875, epoch loss=0.018297
Batch=239, step=23040, lr=0.104250, batch loss=0.009660, epoch loss=0.027957
Batch=299, step=23100, lr=0.104000, batch loss=0.011862, epoch loss=0.039819
Batch=359, step=23160, lr=0.103750, batch loss=0.011572, epoch loss=0.051391
Batch=419, step=23220, lr=0.103500, batch loss=0.010445, epoch loss=0.061836
Batch=479, step=23280, lr=0.103250, batch loss=0.002330, epoch loss=0.064166
Batch=539, step=23340, lr=0.103000, batch loss=0.017092, epoch loss=0.081258
Batch=599, step=23400, lr=0.102750, batch loss=0.013531, epoch loss=0.094788
Batch=659, step=23460, lr=0.102500, batch loss=0.012009, epoch loss=0.106798
Batch=719, step=23520, lr=0.102250, batch loss=0.014640, epoch loss=0.121438
Batch=779, step=23580, lr=0.102000, batch loss=0.021338, epoch loss=0.142775
Batch=839, step=23640, lr=0.101750, batch loss=0.026703, epoch loss=0.169479
Batch=899, step=23700, lr=0.101500, batch loss=0.022237, epoch loss=0.191715
Batch=959, step=23760, lr=0.101250, batch loss=0.007778, epoch loss=0.199494
Batch=1019, step=23820, lr=0.101000, batch loss=0.007024, epoch loss=0.206517
Batch=1079, step=23880, lr=0.100750, batch loss=0.001506, epoch loss=0.208023
Batch=1139, step=23940, lr=0.100500, batch loss=0.008346, epoch loss=0.216370
Batch=1199, step=24000, lr=0.100250, batch loss=0.004668, epoch loss=0.221038
Epoch=19, step=24000, lr=0.100250, epoch loss=0.221038


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 16:51.02 ---> saved as "27a5e502c246d9400fcce2f05995bec9c2bfb8a20fc7b37116abe3b6d6380674"
Job succeeded
2025-03-20 16:51.03: Job succeeded