Organisationsahrefsocannlccaf45 ()ubuntu-24.04-5.3_opam-2.3

ubuntu-24.04-5.3_opam-2.3

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Code Copied

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2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (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 ccaf459c
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 21:04.47: 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 21:04.47: 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 21:04.47: Waiting for resource in pool OCluster
2025-03-20 21:04.47: Waiting for worker…
2025-03-20 21:16.29: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at ccaf459c Missing from previous commit: test update


(from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667)
2025-03-20 21:16.57 ---> 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 21:16.57 ---> 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
[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
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-20 21:18.17 ---> 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 21:18.18 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 21:18.18 ---> 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 21:19.26 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 21:19.26 ---> 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 21:19.32 ---> saved as "d9f9a5483f7b706b2f6791e7be093a3d6a0cc5ef4dd57202b1037ea42ef297fb"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 21:19.33 ---> 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://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB]
- Get:4 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB]
- Get:5 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB]
- Get:6 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB]
- Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB]
- Get:8 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1350 kB]
- Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB]
- Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB]
- Fetched 6681 kB in 1s (4960 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 21:20.03 ---> 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_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (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 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 uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved 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 printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed cppo.1.8.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed 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_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 21:22.05 ---> saved as "127074d52528aa0969e5a0c1f5ada80af679f7500f706af87bcff57f6a304452"


/src: (copy (src .) (dst /src))
2025-03-20 21:22.05 ---> saved as "d605ac41be6627c49cbc7a7ce046e1b0f2ab921a0b440f7ef7985f7bd560967d"


/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/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/800925a36971aba789ed180ce2deabef/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/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/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.198750, batch loss=1.446818, epoch loss=37.063303
Batch=359, step=360, lr=0.198750, batch loss=1.335177, epoch loss=38.398480
Batch=419, step=420, lr=0.198250, batch loss=0.615725, epoch loss=39.014205
Batch=479, step=480, lr=0.198250, batch loss=0.809823, epoch loss=39.824028
Batch=539, step=540, lr=0.198000, batch loss=0.710596, epoch loss=40.534624
Batch=599, step=600, lr=0.197500, batch loss=1.069157, epoch loss=41.603781
Batch=659, step=660, lr=0.197250, batch loss=0.482375, epoch loss=42.086156
Batch=719, step=720, lr=0.197000, batch loss=0.411171, epoch loss=42.497327
Batch=779, step=780, lr=0.197000, batch loss=0.469433, epoch loss=42.966760
Batch=839, step=840, lr=0.196500, batch loss=0.443897, epoch loss=43.410657
Batch=899, step=900, lr=0.196250, batch loss=0.383195, epoch loss=43.793851
Batch=959, step=960, lr=0.196000, batch loss=0.242133, epoch loss=44.035985
Batch=1019, step=1020, lr=0.195750, batch loss=0.451641, epoch loss=44.487626
Batch=1079, step=1080, lr=0.195750, batch loss=0.259859, epoch loss=44.747485
Batch=1139, step=1140, lr=0.195500, batch loss=0.339296, epoch loss=45.086781
Batch=1199, step=1200, lr=0.195000, batch loss=0.261548, epoch loss=45.348329
Epoch=0, step=1200, lr=0.195000, epoch loss=45.348329
Batch=59, step=1260, lr=0.195000, batch loss=0.260800, epoch loss=0.260800
Batch=119, step=1320, lr=0.194750, batch loss=0.202934, epoch loss=0.463734
Batch=179, step=1380, lr=0.194500, batch loss=0.244150, epoch loss=0.707884
Batch=239, step=1440, lr=0.194000, batch loss=0.348203, epoch loss=1.056087
Batch=299, step=1500, lr=0.194000, batch loss=0.239197, epoch loss=1.295284
Batch=359, step=1560, lr=0.193500, batch loss=0.312973, epoch loss=1.608256
Batch=419, step=1620, lr=0.193250, batch loss=0.309874, epoch loss=1.918131
Batch=479, step=1680, lr=0.193250, batch loss=0.276997, epoch loss=2.195128
Batch=539, step=1740, lr=0.193000, batch loss=0.210932, epoch loss=2.406060
Batch=599, step=1800, lr=0.192500, batch loss=0.252398, epoch loss=2.658458
Batch=659, step=1860, lr=0.192250, batch loss=0.369073, epoch loss=3.027531
Batch=719, step=1920, lr=0.192000, batch loss=0.365553, epoch loss=3.393085
Batch=779, step=1980, lr=0.191750, batch loss=0.383190, epoch loss=3.776274
Batch=839, step=2040, lr=0.191500, batch loss=0.340580, epoch loss=4.116854
Batch=899, step=2100, lr=0.191250, batch loss=0.295778, epoch loss=4.412632
Batch=959, step=2160, lr=0.191000, batch loss=0.213852, epoch loss=4.626483
Batch=1019, step=2220, lr=0.191000, batch loss=0.332314, epoch loss=4.958797
Batch=1079, step=2280, lr=0.190750, batch loss=0.192781, epoch loss=5.151579
Batch=1139, step=2340, lr=0.190500, batch loss=0.256284, epoch loss=5.407863
Batch=1199, step=2400, lr=0.190250, batch loss=0.211022, epoch loss=5.618885
Epoch=1, step=2400, lr=0.190250, epoch loss=5.618885
Batch=59, step=2460, lr=0.190000, batch loss=0.229423, epoch loss=0.229423
Batch=119, step=2520, lr=0.189750, batch loss=0.198482, epoch loss=0.427905
Batch=179, step=2580, lr=0.189500, batch loss=0.219494, epoch loss=0.647399
Batch=239, step=2640, lr=0.189250, batch loss=0.327501, epoch loss=0.974900
Batch=299, step=2700, lr=0.189000, batch loss=0.207002, epoch loss=1.181903
Batch=359, step=2760, lr=0.188750, batch loss=0.291368, epoch loss=1.473270
Batch=419, step=2820, lr=0.188500, batch loss=0.281288, epoch loss=1.754559
Batch=479, step=2880, lr=0.188000, batch loss=0.258238, epoch loss=2.012796
Batch=539, step=2940, lr=0.187750, batch loss=0.198726, epoch loss=2.211522
Batch=599, step=3000, lr=0.187500, batch loss=0.240029, epoch loss=2.451552
Batch=659, step=3060, lr=0.187500, batch loss=0.347722, epoch loss=2.799274
Batch=719, step=3120, lr=0.187250, batch loss=0.345455, epoch loss=3.144729
Batch=779, step=3180, lr=0.187000, batch loss=0.365953, epoch loss=3.510682
Batch=839, step=3240, lr=0.186750, batch loss=0.322835, epoch loss=3.833517
Batch=899, step=3300, lr=0.186500, batch loss=0.291525, epoch loss=4.125043
Batch=959, step=3360, lr=0.186250, batch loss=0.233042, epoch loss=4.358084
Batch=1019, step=3420, lr=0.186000, batch loss=0.350538, epoch loss=4.708622
Batch=1079, step=3480, lr=0.185500, batch loss=0.225815, epoch loss=4.934437
Batch=1139, step=3540, lr=0.185500, batch loss=0.265928, epoch loss=5.200365
Batch=1199, step=3600, lr=0.185250, batch loss=0.199061, epoch loss=5.399426
Epoch=2, step=3600, lr=0.185250, epoch loss=5.399426
Batch=59, step=3660, lr=0.185000, batch loss=0.226433, epoch loss=0.226433
Batch=119, step=3720, lr=0.184750, batch loss=0.186831, epoch loss=0.413264
Batch=179, step=3780, lr=0.184500, batch loss=0.212717, epoch loss=0.625981
Batch=239, step=3840, lr=0.184000, batch loss=0.317064, epoch loss=0.943044
Batch=299, step=3900, lr=0.183750, batch loss=0.203730, epoch loss=1.146774
Batch=359, step=3960, lr=0.183750, batch loss=0.288991, epoch loss=1.435765
Batch=419, step=4020, lr=0.183500, batch loss=0.273736, epoch loss=1.709501
Batch=479, step=4080, lr=0.183250, batch loss=0.253335, epoch loss=1.962836
Batch=539, step=4140, lr=0.183000, batch loss=0.194137, epoch loss=2.156973
Batch=599, step=4200, lr=0.182750, batch loss=0.230057, epoch loss=2.387031
Batch=659, step=4260, lr=0.182500, batch loss=0.331165, epoch loss=2.718196
Batch=719, step=4320, lr=0.182250, batch loss=0.327058, epoch loss=3.045254
Batch=779, step=4380, lr=0.182000, batch loss=0.354681, epoch loss=3.399935
Batch=839, step=4440, lr=0.181750, batch loss=0.316764, epoch loss=3.716698
Batch=899, step=4500, lr=0.181500, batch loss=0.281787, epoch loss=3.998485
Batch=959, step=4560, lr=0.181250, batch loss=0.222391, epoch loss=4.220876
Batch=1019, step=4620, lr=0.181000, batch loss=0.345105, epoch loss=4.565981
Batch=1079, step=4680, lr=0.180750, batch loss=0.216405, epoch loss=4.782386
Batch=1139, step=4740, lr=0.180500, batch loss=0.246487, epoch loss=5.028873
Batch=1199, step=4800, lr=0.180250, batch loss=0.191552, epoch loss=5.220425
Epoch=3, step=4800, lr=0.180250, epoch loss=5.220425
Batch=59, step=4860, lr=0.180000, batch loss=0.228592, epoch loss=0.228592
Batch=119, step=4920, lr=0.179750, batch loss=0.189680, epoch loss=0.418271
Batch=179, step=4980, lr=0.179500, batch loss=0.207403, epoch loss=0.625674
Batch=239, step=5040, lr=0.179250, batch loss=0.308914, epoch loss=0.934589
Batch=299, step=5100, lr=0.178750, batch loss=0.208272, epoch loss=1.142861
Batch=359, step=5160, lr=0.178500, batch loss=0.285892, epoch loss=1.428753
Batch=419, step=5220, lr=0.178500, batch loss=0.289894, epoch loss=1.718647
Batch=479, step=5280, lr=0.178250, batch loss=0.248736, epoch loss=1.967383
Batch=539, step=5340, lr=0.178000, batch loss=0.198907, epoch loss=2.166290
Batch=599, step=5400, lr=0.177750, batch loss=0.240089, epoch loss=2.406379
Batch=659, step=5460, lr=0.177500, batch loss=0.319834, epoch loss=2.726212
Batch=719, step=5520, lr=0.177250, batch loss=0.321845, epoch loss=3.048058
Batch=779, step=5580, lr=0.177000, batch loss=0.337988, epoch loss=3.386046
Batch=839, step=5640, lr=0.176750, batch loss=0.308617, epoch loss=3.694662
Batch=899, step=5700, lr=0.176500, batch loss=0.276242, epoch loss=3.970905
Batch=959, step=5760, lr=0.176250, batch loss=0.211439, epoch loss=4.182344
Batch=1019, step=5820, lr=0.176000, batch loss=0.332662, epoch loss=4.515006
Batch=1079, step=5880, lr=0.175750, batch loss=0.180930, epoch loss=4.695935
Batch=1139, step=5940, lr=0.175500, batch loss=0.217704, epoch loss=4.913640
Batch=1199, step=6000, lr=0.175250, batch loss=0.201839, epoch loss=5.115478
Epoch=4, step=6000, lr=0.175250, epoch loss=5.115478
Batch=59, step=6060, lr=0.175000, batch loss=0.241327, epoch loss=0.241327
Batch=119, step=6120, lr=0.174500, batch loss=0.186986, epoch loss=0.428313
Batch=179, step=6180, lr=0.174250, batch loss=0.200873, epoch loss=0.629186
Batch=239, step=6240, lr=0.174250, batch loss=0.300848, epoch loss=0.930033
Batch=299, step=6300, lr=0.174000, batch loss=0.213082, epoch loss=1.143115
Batch=359, step=6360, lr=0.173750, batch loss=0.268962, epoch loss=1.412078
Batch=419, step=6420, lr=0.173500, batch loss=0.265328, epoch loss=1.677405
Batch=479, step=6480, lr=0.173250, batch loss=0.244747, epoch loss=1.922152
Batch=539, step=6540, lr=0.173000, batch loss=0.193082, epoch loss=2.115234
Batch=599, step=6600, lr=0.172750, batch loss=0.229650, epoch loss=2.344884
Batch=659, step=6660, lr=0.172500, batch loss=0.316762, epoch loss=2.661646
Batch=719, step=6720, lr=0.172250, batch loss=0.313699, epoch loss=2.975345
Batch=779, step=6780, lr=0.172000, batch loss=0.331202, epoch loss=3.306547
Batch=839, step=6840, lr=0.171500, batch loss=0.304476, epoch loss=3.611022
Batch=899, step=6900, lr=0.171500, batch loss=0.267314, epoch loss=3.878336
Batch=959, step=6960, lr=0.171250, batch loss=0.208383, epoch loss=4.086719
Batch=1019, step=7020, lr=0.171000, batch loss=0.324126, epoch loss=4.410845
Batch=1079, step=7080, lr=0.170750, batch loss=0.175551, epoch loss=4.586396
Batch=1139, step=7140, lr=0.170500, batch loss=0.212214, epoch loss=4.798610
Batch=1199, step=7200, lr=0.170250, batch loss=0.195762, epoch loss=4.994372
Epoch=5, step=7200, lr=0.170250, epoch loss=4.994372
Batch=59, step=7260, lr=0.170000, batch loss=0.238663, epoch loss=0.238663
Batch=119, step=7320, lr=0.169750, batch loss=0.180330, epoch loss=0.418992
Batch=179, step=7380, lr=0.169250, batch loss=0.194824, epoch loss=0.613816
Batch=239, step=7440, lr=0.169250, batch loss=0.290936, epoch loss=0.904752
Batch=299, step=7500, lr=0.169000, batch loss=0.205397, epoch loss=1.110149
Batch=359, step=7560, lr=0.168750, batch loss=0.263149, epoch loss=1.373298
Batch=419, step=7620, lr=0.168500, batch loss=0.254998, epoch loss=1.628296
Batch=479, step=7680, lr=0.168250, batch loss=0.238916, epoch loss=1.867212
Batch=539, step=7740, lr=0.168000, batch loss=0.185391, epoch loss=2.052602
Batch=599, step=7800, lr=0.167500, batch loss=0.225289, epoch loss=2.277891
Batch=659, step=7860, lr=0.167500, batch loss=0.305217, epoch loss=2.583108
Batch=719, step=7920, lr=0.167250, batch loss=0.308618, epoch loss=2.891726
Batch=779, step=7980, lr=0.167000, batch loss=0.329908, epoch loss=3.221634
Batch=839, step=8040, lr=0.166750, batch loss=0.292408, epoch loss=3.514042
Batch=899, step=8100, lr=0.166500, batch loss=0.263902, epoch loss=3.777943
Batch=959, step=8160, lr=0.166250, batch loss=0.208300, epoch loss=3.986244
Batch=1019, step=8220, lr=0.165750, batch loss=0.317525, epoch loss=4.303768
Batch=1079, step=8280, lr=0.165750, batch loss=0.173379, epoch loss=4.477147
Batch=1139, step=8340, lr=0.165500, batch loss=0.209363, epoch loss=4.686510
Batch=1199, step=8400, lr=0.165250, batch loss=0.178214, epoch loss=4.864724
Epoch=6, step=8400, lr=0.165250, epoch loss=4.864724
Batch=59, step=8460, lr=0.165000, batch loss=0.230338, epoch loss=0.230338
Batch=119, step=8520, lr=0.164500, batch loss=0.174187, epoch loss=0.404526
Batch=179, step=8580, lr=0.164250, batch loss=0.188180, epoch loss=0.592706
Batch=239, step=8640, lr=0.164250, batch loss=0.279736, epoch loss=0.872442
Batch=299, step=8700, lr=0.164000, batch loss=0.190825, epoch loss=1.063267
Batch=359, step=8760, lr=0.163500, batch loss=0.249915, epoch loss=1.313182
Batch=419, step=8820, lr=0.163500, batch loss=0.245847, epoch loss=1.559029
Batch=479, step=8880, lr=0.163250, batch loss=0.226830, epoch loss=1.785859
Batch=539, step=8940, lr=0.163000, batch loss=0.180560, epoch loss=1.966420
Batch=599, step=9000, lr=0.162750, batch loss=0.215172, epoch loss=2.181592
Batch=659, step=9060, lr=0.162500, batch loss=0.295299, epoch loss=2.476891
Batch=719, step=9120, lr=0.162250, batch loss=0.296736, epoch loss=2.773627
Batch=779, step=9180, lr=0.162000, batch loss=0.317189, epoch loss=3.090816
Batch=839, step=9240, lr=0.161750, batch loss=0.285200, epoch loss=3.376016
Batch=899, step=9300, lr=0.161500, batch loss=0.254366, epoch loss=3.630382
Batch=959, step=9360, lr=0.161250, batch loss=0.212123, epoch loss=3.842505
Batch=1019, step=9420, lr=0.161000, batch loss=0.300334, epoch loss=4.142839
Batch=1079, step=9480, lr=0.160750, batch loss=0.176971, epoch loss=4.319810
Batch=1139, step=9540, lr=0.160500, batch loss=0.204923, epoch loss=4.524733
Batch=1199, step=9600, lr=0.160250, batch loss=0.164546, epoch loss=4.689279
Epoch=7, step=9600, lr=0.160250, epoch loss=4.689279
Batch=59, step=9660, lr=0.160000, batch loss=0.196403, epoch loss=0.196403
Batch=119, step=9720, lr=0.159750, batch loss=0.166540, epoch loss=0.362943
Batch=179, step=9780, lr=0.159500, batch loss=0.179361, epoch loss=0.542304
Batch=239, step=9840, lr=0.159250, batch loss=0.261158, epoch loss=0.803462
Batch=299, step=9900, lr=0.159000, batch loss=0.187985, epoch loss=0.991447
Batch=359, step=9960, lr=0.158750, batch loss=0.242193, epoch loss=1.233640
Batch=419, step=10020, lr=0.158500, batch loss=0.232231, epoch loss=1.465871
Batch=479, step=10080, lr=0.158250, batch loss=0.214988, epoch loss=1.680858
Batch=539, step=10140, lr=0.158000, batch loss=0.169664, epoch loss=1.850523
Batch=599, step=10200, lr=0.157750, batch loss=0.202302, epoch loss=2.052825
Batch=659, step=10260, lr=0.157500, batch loss=0.282321, epoch loss=2.335146
Batch=719, step=10320, lr=0.157250, batch loss=0.287782, epoch loss=2.622928
Batch=779, step=10380, lr=0.157000, batch loss=0.295483, epoch loss=2.918412
Batch=839, step=10440, lr=0.156750, batch loss=0.266834, epoch loss=3.185245
Batch=899, step=10500, lr=0.156500, batch loss=0.242478, epoch loss=3.427723
Batch=959, step=10560, lr=0.156250, batch loss=0.195781, epoch loss=3.623505
Batch=1019, step=10620, lr=0.156000, batch loss=0.281457, epoch loss=3.904962
Batch=1079, step=10680, lr=0.155750, batch loss=0.169944, epoch loss=4.074906
Batch=1139, step=10740, lr=0.155500, batch loss=0.199175, epoch loss=4.274081
Batch=1199, step=10800, lr=0.155250, batch loss=0.153853, epoch loss=4.427934
Epoch=8, step=10800, lr=0.155250, epoch loss=4.427934
Batch=59, step=10860, lr=0.154750, batch loss=0.177860, epoch loss=0.177860
Batch=119, step=10920, lr=0.154750, batch loss=0.150385, epoch loss=0.328245
Batch=179, step=10980, lr=0.154500, batch loss=0.165703, epoch loss=0.493948
Batch=239, step=11040, lr=0.154250, batch loss=0.239839, epoch loss=0.733787
Batch=299, step=11100, lr=0.154000, batch loss=0.173288, epoch loss=0.907075
Batch=359, step=11160, lr=0.153750, batch loss=0.219313, epoch loss=1.126388
Batch=419, step=11220, lr=0.153500, batch loss=0.218426, epoch loss=1.344814
Batch=479, step=11280, lr=0.153250, batch loss=0.210556, epoch loss=1.555370
Batch=539, step=11340, lr=0.153000, batch loss=0.164823, epoch loss=1.720192
Batch=599, step=11400, lr=0.152750, batch loss=0.176697, epoch loss=1.896889
Batch=659, step=11460, lr=0.152500, batch loss=0.266419, epoch loss=2.163308
Batch=719, step=11520, lr=0.152250, batch loss=0.256424, epoch loss=2.419732
Batch=779, step=11580, lr=0.152000, batch loss=0.274679, epoch loss=2.694411
Batch=839, step=11640, lr=0.151750, batch loss=0.254095, epoch loss=2.948506
Batch=899, step=11700, lr=0.151500, batch loss=0.212742, epoch loss=3.161248
Batch=959, step=11760, lr=0.151250, batch loss=0.165873, epoch loss=3.327121
Batch=1019, step=11820, lr=0.151000, batch loss=0.266434, epoch loss=3.593555
Batch=1079, step=11880, lr=0.150750, batch loss=0.148287, epoch loss=3.741842
Batch=1139, step=11940, lr=0.150500, batch loss=0.185876, epoch loss=3.927717
Batch=1199, step=12000, lr=0.150250, batch loss=0.138579, epoch loss=4.066296
Epoch=9, step=12000, lr=0.150250, epoch loss=4.066296
Batch=59, step=12060, lr=0.150000, batch loss=0.162455, epoch loss=0.162455
Batch=119, step=12120, lr=0.149750, batch loss=0.134395, epoch loss=0.296850
Batch=179, step=12180, lr=0.149500, batch loss=0.150725, epoch loss=0.447575
Batch=239, step=12240, lr=0.149250, batch loss=0.218834, epoch loss=0.666409
Batch=299, step=12300, lr=0.149000, batch loss=0.140331, epoch loss=0.806739
Batch=359, step=12360, lr=0.148750, batch loss=0.197540, epoch loss=1.004280
Batch=419, step=12420, lr=0.148500, batch loss=0.205946, epoch loss=1.210226
Batch=479, step=12480, lr=0.148250, batch loss=0.177650, epoch loss=1.387877
Batch=539, step=12540, lr=0.148000, batch loss=0.141847, epoch loss=1.529724
Batch=599, step=12600, lr=0.147500, batch loss=0.147766, epoch loss=1.677490
Batch=659, step=12660, lr=0.147250, batch loss=0.226928, epoch loss=1.904418
Batch=719, step=12720, lr=0.147000, batch loss=0.233668, epoch loss=2.138086
Batch=779, step=12780, lr=0.146750, batch loss=0.264541, epoch loss=2.402627
Batch=839, step=12840, lr=0.146500, batch loss=0.232175, epoch loss=2.634802
Batch=899, step=12900, lr=0.146500, batch loss=0.197592, epoch loss=2.832395
Batch=959, step=12960, lr=0.146250, batch loss=0.153268, epoch loss=2.985662
Batch=1019, step=13020, lr=0.146000, batch loss=0.261192, epoch loss=3.246854
Batch=1079, step=13080, lr=0.145750, batch loss=0.114888, epoch loss=3.361742
Batch=1139, step=13140, lr=0.145500, batch loss=0.154171, epoch loss=3.515913
Batch=1199, step=13200, lr=0.145000, batch loss=0.117145, epoch loss=3.633058
Epoch=10, step=13200, lr=0.145000, epoch loss=3.633058
Batch=59, step=13260, lr=0.145000, batch loss=0.142413, epoch loss=0.142413
Batch=119, step=13320, lr=0.144500, batch loss=0.119261, epoch loss=0.261675
Batch=179, step=13380, lr=0.144250, batch loss=0.126725, epoch loss=0.388400
Batch=239, step=13440, lr=0.144250, batch loss=0.187101, epoch loss=0.575501
Batch=299, step=13500, lr=0.144000, batch loss=0.112691, epoch loss=0.688192
Batch=359, step=13560, lr=0.143500, batch loss=0.160280, epoch loss=0.848472
Batch=419, step=13620, lr=0.143250, batch loss=0.161290, epoch loss=1.009762
Batch=479, step=13680, lr=0.143000, batch loss=0.144415, epoch loss=1.154178
Batch=539, step=13740, lr=0.143000, batch loss=0.117196, epoch loss=1.271374
Batch=599, step=13800, lr=0.142750, batch loss=0.118788, epoch loss=1.390162
Batch=659, step=13860, lr=0.142250, batch loss=0.173696, epoch loss=1.563858
Batch=719, step=13920, lr=0.142000, batch loss=0.175998, epoch loss=1.739856
Batch=779, step=13980, lr=0.142000, batch loss=0.195202, epoch loss=1.935058
Batch=839, step=14040, lr=0.141500, batch loss=0.185550, epoch loss=2.120607
Batch=899, step=14100, lr=0.141250, batch loss=0.176479, epoch loss=2.297086
Batch=959, step=14160, lr=0.141250, batch loss=0.143971, epoch loss=2.441057
Batch=1019, step=14220, lr=0.140750, batch loss=0.328361, epoch loss=2.769418
Batch=1079, step=14280, lr=0.140500, batch loss=0.076556, epoch loss=2.845974
Batch=1139, step=14340, lr=0.140500, batch loss=0.123968, epoch loss=2.969941
Batch=1199, step=14400, lr=0.140250, batch loss=0.092187, epoch loss=3.062129
Epoch=11, step=14400, lr=0.140250, epoch loss=3.062129
Batch=59, step=14460, lr=0.140000, batch loss=0.120603, epoch loss=0.120603
Batch=119, step=14520, lr=0.139750, batch loss=0.108167, epoch loss=0.228771
Batch=179, step=14580, lr=0.139500, batch loss=0.107406, epoch loss=0.336176
Batch=239, step=14640, lr=0.139250, batch loss=0.139363, epoch loss=0.475540
Batch=299, step=14700, lr=0.139000, batch loss=0.066130, epoch loss=0.541670
Batch=359, step=14760, lr=0.138750, batch loss=0.108782, epoch loss=0.650452
Batch=419, step=14820, lr=0.138500, batch loss=0.113881, epoch loss=0.764333
Batch=479, step=14880, lr=0.138250, batch loss=0.097270, epoch loss=0.861603
Batch=539, step=14940, lr=0.138000, batch loss=0.091788, epoch loss=0.953391
Batch=599, step=15000, lr=0.137750, batch loss=0.082729, epoch loss=1.036120
Batch=659, step=15060, lr=0.137500, batch loss=0.124874, epoch loss=1.160995
Batch=719, step=15120, lr=0.137250, batch loss=0.122404, epoch loss=1.283398
Batch=779, step=15180, lr=0.137000, batch loss=0.130739, epoch loss=1.414137
Batch=839, step=15240, lr=0.136750, batch loss=0.181210, epoch loss=1.595347
Batch=899, step=15300, lr=0.136500, batch loss=0.324197, epoch loss=1.919544
Batch=959, step=15360, lr=0.136250, batch loss=0.057891, epoch loss=1.977435
Batch=1019, step=15420, lr=0.136000, batch loss=0.139090, epoch loss=2.116525
Batch=1079, step=15480, lr=0.135750, batch loss=0.047328, epoch loss=2.163853
Batch=1139, step=15540, lr=0.135500, batch loss=0.105314, epoch loss=2.269167
Batch=1199, step=15600, lr=0.135250, batch loss=0.061966, epoch loss=2.331133
Epoch=12, step=15600, lr=0.135250, epoch loss=2.331133
Batch=59, step=15660, lr=0.135000, batch loss=0.074415, epoch loss=0.074415
Batch=119, step=15720, lr=0.134750, batch loss=0.100393, epoch loss=0.174808
Batch=179, step=15780, lr=0.134500, batch loss=0.087128, epoch loss=0.261936
Batch=239, step=15840, lr=0.134250, batch loss=0.091175, epoch loss=0.353111
Batch=299, step=15900, lr=0.134000, batch loss=0.040469, epoch loss=0.393581
Batch=359, step=15960, lr=0.133750, batch loss=0.078055, epoch loss=0.471636
Batch=419, step=16020, lr=0.133250, batch loss=0.079617, epoch loss=0.551253
Batch=479, step=16080, lr=0.133250, batch loss=0.069913, epoch loss=0.621166
Batch=539, step=16140, lr=0.133000, batch loss=0.046681, epoch loss=0.667848
Batch=599, step=16200, lr=0.132750, batch loss=0.101529, epoch loss=0.769377
Batch=659, step=16260, lr=0.132500, batch loss=0.075215, epoch loss=0.844592
Batch=719, step=16320, lr=0.132250, batch loss=0.086903, epoch loss=0.931495
Batch=779, step=16380, lr=0.132000, batch loss=0.136728, epoch loss=1.068223
Batch=839, step=16440, lr=0.131750, batch loss=0.122535, epoch loss=1.190757
Batch=899, step=16500, lr=0.131500, batch loss=0.129813, epoch loss=1.320571
Batch=959, step=16560, lr=0.131250, batch loss=0.041058, epoch loss=1.361629
Batch=1019, step=16620, lr=0.131000, batch loss=0.103051, epoch loss=1.464679
Batch=1079, step=16680, lr=0.130750, batch loss=0.025371, epoch loss=1.490050
Batch=1139, step=16740, lr=0.130500, batch loss=0.056895, epoch loss=1.546946
Batch=1199, step=16800, lr=0.130250, batch loss=0.029819, epoch loss=1.576765
Epoch=13, step=16800, lr=0.130250, epoch loss=1.576765
Batch=59, step=16860, lr=0.130000, batch loss=0.036101, epoch loss=0.036101
Batch=119, step=16920, lr=0.129500, batch loss=0.051022, epoch loss=0.087123
Batch=179, step=16980, lr=0.129500, batch loss=0.050000, epoch loss=0.137123
Batch=239, step=17040, lr=0.129250, batch loss=0.065714, epoch loss=0.202837
Batch=299, step=17100, lr=0.129000, batch loss=0.032344, epoch loss=0.235180
Batch=359, step=17160, lr=0.128750, batch loss=0.049631, epoch loss=0.284812
Batch=419, step=17220, lr=0.128250, batch loss=0.082254, epoch loss=0.367066
Batch=479, step=17280, lr=0.128000, batch loss=0.025372, epoch loss=0.392437
Batch=539, step=17340, lr=0.127750, batch loss=0.032930, epoch loss=0.425367
Batch=599, step=17400, lr=0.127500, batch loss=0.034860, epoch loss=0.460227
Batch=659, step=17460, lr=0.127250, batch loss=0.045804, epoch loss=0.506031
Batch=719, step=17520, lr=0.127250, batch loss=0.036146, epoch loss=0.542177
Batch=779, step=17580, lr=0.126750, batch loss=0.039860, epoch loss=0.582036
Batch=839, step=17640, lr=0.126500, batch loss=0.053143, epoch loss=0.635180
Batch=899, step=17700, lr=0.126250, batch loss=0.048614, epoch loss=0.683794
Batch=959, step=17760, lr=0.126250, batch loss=0.039696, epoch loss=0.723489
Batch=1019, step=17820, lr=0.126000, batch loss=0.095414, epoch loss=0.818903
Batch=1079, step=17880, lr=0.125750, batch loss=0.028964, epoch loss=0.847867
Batch=1139, step=17940, lr=0.125500, batch loss=0.054369, epoch loss=0.902236
Batch=1199, step=18000, lr=0.125000, batch loss=0.021279, epoch loss=0.923515
Epoch=14, step=18000, lr=0.125000, epoch loss=0.923515
Batch=59, step=18060, lr=0.124750, batch loss=0.011362, epoch loss=0.011362
Batch=119, step=18120, lr=0.124500, batch loss=0.025476, epoch loss=0.036837
Batch=179, step=18180, lr=0.124500, batch loss=0.049937, epoch loss=0.086775
Batch=239, step=18240, lr=0.124250, batch loss=0.034617, epoch loss=0.121392
Batch=299, step=18300, lr=0.124000, batch loss=0.008599, epoch loss=0.129991
Batch=359, step=18360, lr=0.123750, batch loss=0.024129, epoch loss=0.154120
Batch=419, step=18420, lr=0.123500, batch loss=0.032256, epoch loss=0.186376
Batch=479, step=18480, lr=0.123250, batch loss=0.025549, epoch loss=0.211925
Batch=539, step=18540, lr=0.123000, batch loss=0.056121, epoch loss=0.268045
Batch=599, step=18600, lr=0.122750, batch loss=0.027437, epoch loss=0.295482
Batch=659, step=18660, lr=0.122500, batch loss=0.032738, epoch loss=0.328220
Batch=719, step=18720, lr=0.122250, batch loss=0.025401, epoch loss=0.353622
Batch=779, step=18780, lr=0.122000, batch loss=0.070177, epoch loss=0.423799
Batch=839, step=18840, lr=0.121750, batch loss=0.050134, epoch loss=0.473932
Batch=899, step=18900, lr=0.121500, batch loss=0.051867, epoch loss=0.525800
Batch=959, step=18960, lr=0.121250, batch loss=0.015259, epoch loss=0.541058
Batch=1019, step=19020, lr=0.120750, batch loss=0.018252, epoch loss=0.559310
Batch=1079, step=19080, lr=0.120750, batch loss=0.008288, epoch loss=0.567599
Batch=1139, step=19140, lr=0.120500, batch loss=0.022734, epoch loss=0.590333
Batch=1199, step=19200, lr=0.120250, batch loss=0.009040, epoch loss=0.599373
Epoch=15, step=19200, lr=0.120250, epoch loss=0.599373
Batch=59, step=19260, lr=0.120000, batch loss=0.004264, epoch loss=0.004264
Batch=119, step=19320, lr=0.119750, batch loss=0.022318, epoch loss=0.026581
Batch=179, step=19380, lr=0.119500, batch loss=0.049064, epoch loss=0.075646
Batch=239, step=19440, lr=0.119250, batch loss=0.021094, epoch loss=0.096739
Batch=299, step=19500, lr=0.119000, batch loss=0.008543, epoch loss=0.105282
Batch=359, step=19560, lr=0.118750, batch loss=0.025419, epoch loss=0.130701
Batch=419, step=19620, lr=0.118500, batch loss=0.019835, epoch loss=0.150535
Batch=479, step=19680, lr=0.118250, batch loss=0.007995, epoch loss=0.158530
Batch=539, step=19740, lr=0.117750, batch loss=0.016738, epoch loss=0.175268
Batch=599, step=19800, lr=0.117750, batch loss=0.020796, epoch loss=0.196063
Batch=659, step=19860, lr=0.117500, batch loss=0.016822, epoch loss=0.212885
Batch=719, step=19920, lr=0.117250, batch loss=0.029655, epoch loss=0.242540
Batch=779, step=19980, lr=0.117000, batch loss=0.064469, epoch loss=0.307009
Batch=839, step=20040, lr=0.116750, batch loss=0.030263, epoch loss=0.337272
Batch=899, step=20100, lr=0.116500, batch loss=0.032607, epoch loss=0.369879
Batch=959, step=20160, lr=0.116250, batch loss=0.015915, epoch loss=0.385795
Batch=1019, step=20220, lr=0.116000, batch loss=0.017210, epoch loss=0.403005
Batch=1079, step=20280, lr=0.115500, batch loss=0.002973, epoch loss=0.405978
Batch=1139, step=20340, lr=0.115250, batch loss=0.014693, epoch loss=0.420671
Batch=1199, step=20400, lr=0.115000, batch loss=0.006074, epoch loss=0.426745
Epoch=16, step=20400, lr=0.115000, epoch loss=0.426745
Batch=59, step=20460, lr=0.114750, batch loss=0.002937, epoch loss=0.002937
Batch=119, step=20520, lr=0.114750, batch loss=0.009833, epoch loss=0.012770
Batch=179, step=20580, lr=0.114500, batch loss=0.020633, epoch loss=0.033403
Batch=239, step=20640, lr=0.114250, batch loss=0.018129, epoch loss=0.051533
Batch=299, step=20700, lr=0.114000, batch loss=0.006703, epoch loss=0.058236
Batch=359, step=20760, lr=0.113750, batch loss=0.012873, epoch loss=0.071109
Batch=419, step=20820, lr=0.113500, batch loss=0.014300, epoch loss=0.085408
Batch=479, step=20880, lr=0.113250, batch loss=0.004697, epoch loss=0.090106
Batch=539, step=20940, lr=0.112750, batch loss=0.015122, epoch loss=0.105227
Batch=599, step=21000, lr=0.112750, batch loss=0.018557, epoch loss=0.123785
Batch=659, step=21060, lr=0.112500, batch loss=0.015166, epoch loss=0.138951
Batch=719, step=21120, lr=0.112250, batch loss=0.041441, epoch loss=0.180392
Batch=779, step=21180, lr=0.112000, batch loss=0.074213, epoch loss=0.254605
Batch=839, step=21240, lr=0.111750, batch loss=0.025535, epoch loss=0.280140
Batch=899, step=21300, lr=0.111500, batch loss=0.028692, epoch loss=0.308832
Batch=959, step=21360, lr=0.111250, batch loss=0.009874, epoch loss=0.318706
Batch=1019, step=21420, lr=0.111000, batch loss=0.010092, epoch loss=0.328798
Batch=1079, step=21480, lr=0.110750, batch loss=0.001992, epoch loss=0.330789
Batch=1139, step=21540, lr=0.110250, batch loss=0.011706, epoch loss=0.342496
Batch=1199, step=21600, lr=0.110250, batch loss=0.004609, epoch loss=0.347104
Epoch=17, step=21600, lr=0.110250, epoch loss=0.347104
Batch=59, step=21660, lr=0.110000, batch loss=0.001623, epoch loss=0.001623
Batch=119, step=21720, lr=0.109500, batch loss=0.006851, epoch loss=0.008474
Batch=179, step=21780, lr=0.109500, batch loss=0.012868, epoch loss=0.021342
Batch=239, step=21840, lr=0.109250, batch loss=0.015114, epoch loss=0.036456
Batch=299, step=21900, lr=0.109000, batch loss=0.004564, epoch loss=0.041020
Batch=359, step=21960, lr=0.108750, batch loss=0.010926, epoch loss=0.051946
Batch=419, step=22020, lr=0.108500, batch loss=0.011638, epoch loss=0.063584
Batch=479, step=22080, lr=0.108250, batch loss=0.002856, epoch loss=0.066440
Batch=539, step=22140, lr=0.108000, batch loss=0.017023, epoch loss=0.083463
Batch=599, step=22200, lr=0.107750, batch loss=0.016178, epoch loss=0.099641
Batch=659, step=22260, lr=0.107500, batch loss=0.014496, epoch loss=0.114137
Batch=719, step=22320, lr=0.107250, batch loss=0.026008, epoch loss=0.140146
Batch=779, step=22380, lr=0.107000, batch loss=0.041193, epoch loss=0.181339
Batch=839, step=22440, lr=0.106750, batch loss=0.020761, epoch loss=0.202100
Batch=899, step=22500, lr=0.106500, batch loss=0.022323, epoch loss=0.224423
Batch=959, step=22560, lr=0.106250, batch loss=0.010626, epoch loss=0.235049
Batch=1019, step=22620, lr=0.106000, batch loss=0.009117, epoch loss=0.244166
Batch=1079, step=22680, lr=0.105750, batch loss=0.000012, epoch loss=0.244177
Batch=1139, step=22740, lr=0.105500, batch loss=0.009884, epoch loss=0.254062
Batch=1199, step=22800, lr=0.105250, batch loss=0.004293, epoch loss=0.258355
Epoch=18, step=22800, lr=0.105250, epoch loss=0.258355
Batch=59, step=22860, lr=0.105000, batch loss=0.001198, epoch loss=0.001198
Batch=119, step=22920, lr=0.104750, batch loss=0.005231, epoch loss=0.006429
Batch=179, step=22980, lr=0.104500, batch loss=0.010011, epoch loss=0.016440
Batch=239, step=23040, lr=0.104250, batch loss=0.008793, epoch loss=0.025234
Batch=299, step=23100, lr=0.104000, batch loss=0.001097, epoch loss=0.026330
Batch=359, step=23160, lr=0.103750, batch loss=0.012318, epoch loss=0.038648
Batch=419, step=23220, lr=0.103500, batch loss=0.010258, epoch loss=0.048906
Batch=479, step=23280, lr=0.103000, batch loss=0.002406, epoch loss=0.051312
Batch=539, step=23340, lr=0.103000, batch loss=0.015561, epoch loss=0.066873
Batch=599, step=23400, lr=0.102750, batch loss=0.013638, epoch loss=0.080511
Batch=659, step=23460, lr=0.102500, batch loss=0.011295, epoch loss=0.091807
Batch=719, step=23520, lr=0.102250, batch loss=0.011559, epoch loss=0.103365
Batch=779, step=23580, lr=0.102000, batch loss=0.017545, epoch loss=0.120911
Batch=839, step=23640, lr=0.101750, batch loss=0.028268, epoch loss=0.149179
Batch=899, step=23700, lr=0.101250, batch loss=0.020024, epoch loss=0.169203
Batch=959, step=23760, lr=0.101250, batch loss=0.009333, epoch loss=0.178536
Batch=1019, step=23820, lr=0.101000, batch loss=0.007654, epoch loss=0.186190
Batch=1079, step=23880, lr=0.100750, batch loss=0.001055, epoch loss=0.187245
Batch=1139, step=23940, lr=0.100500, batch loss=0.008240, epoch loss=0.195485
Batch=1199, step=24000, lr=0.100250, batch loss=0.004356, epoch loss=0.199841
Epoch=19, step=24000, lr=0.100250, epoch loss=0.199841


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 21:23.25 ---> saved as "3f4174a10bad7697d72eb27c4d053ef5bd00cfc62ff5d27ed14879d60abb591c"
Job succeeded
2025-03-20 21:23.26: Job succeeded