debian-12-5.2_opam-2.3

2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (linux-x86_64:debian-12-5.2_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 15116260
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
# debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-21 16:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5"
2025-03-21 16:19.55: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
(comment debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 16:19.55: Waiting for resource in pool OCluster
2025-03-21 16:19.55: Waiting for worker…
2025-03-21 16:20.54: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions


(from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-21 16:30.00 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8"


/: (comment debian-12-5.2_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 16:30.00 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f"


/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.


[NOTE] The 'jobs' option was reset, its value was 39 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=39 --global
Continue? [y/n] y
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 16:31.42 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-03-21 16:31.43 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 16:31.43 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b"


/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
a8ed476033..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 16:32.44 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 16:32.44 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-21 16:32.49 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 16:32.49 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201"


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 353 kB in 1s (660 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-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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 libffi-dev: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 ... 18776 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:amd64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-1) ...
- Setting up libffi-dev:amd64 (3.4.4-1) ...
- Setting up libpkgconf3:amd64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:amd64 (1.8.1-1) ...
- Setting up pkg-config:amd64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-03-21 16:33.13 ---> saved as "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86"


/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-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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             v0.17.0
- 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)
-> installed conf-pkg-config.4
-> retrieved cppo.1.8.0  (cached)
-> 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 ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.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 ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> 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 ppxlib.0.35.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib_jane.v0.17.0
-> 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_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 16:34.48 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc"


/src: (copy (src .) (dst /src))
2025-03-21 16:34.49 ---> saved as "dba60a33d512a5cd1213dbee5e123ff35d651ecfc694fe22f9fab57899e0b7a1"


/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/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/3dd4c6ced637da24a3b6cbb496fb012f/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
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Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
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Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169000, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200785, epoch loss=1.105201
Batch=359, step=7560, lr=0.168750, batch loss=0.258479, epoch loss=1.363680
Batch=419, step=7620, lr=0.168500, batch loss=0.256779, epoch loss=1.620459
Batch=479, step=7680, lr=0.168250, batch loss=0.236032, epoch loss=1.856491
Batch=539, step=7740, lr=0.167750, batch loss=0.187851, epoch loss=2.044342
Batch=599, step=7800, lr=0.167750, batch loss=0.223885, epoch loss=2.268227
Batch=659, step=7860, lr=0.167500, batch loss=0.305943, epoch loss=2.574170
Batch=719, step=7920, lr=0.167250, batch loss=0.309260, epoch loss=2.883431
Batch=779, step=7980, lr=0.167000, batch loss=0.329975, epoch loss=3.213406
Batch=839, step=8040, lr=0.166750, batch loss=0.292407, epoch loss=3.505813
Batch=899, step=8100, lr=0.166500, batch loss=0.261802, epoch loss=3.767615
Batch=959, step=8160, lr=0.166250, batch loss=0.193249, epoch loss=3.960864
Batch=1019, step=8220, lr=0.166000, batch loss=0.314099, epoch loss=4.274963
Batch=1079, step=8280, lr=0.165750, batch loss=0.172045, epoch loss=4.447009
Batch=1139, step=8340, lr=0.165500, batch loss=0.209761, epoch loss=4.656770
Batch=1199, step=8400, lr=0.165250, batch loss=0.178299, epoch loss=4.835069
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835069
Batch=59, step=8460, lr=0.165000, batch loss=0.229675, epoch loss=0.229675
Batch=119, step=8520, lr=0.164750, batch loss=0.175046, epoch loss=0.404721
Batch=179, step=8580, lr=0.164500, batch loss=0.187825, epoch loss=0.592546
Batch=239, step=8640, lr=0.164250, batch loss=0.278190, epoch loss=0.870736
Batch=299, step=8700, lr=0.164000, batch loss=0.192032, epoch loss=1.062768
Batch=359, step=8760, lr=0.163750, batch loss=0.248601, epoch loss=1.311369
Batch=419, step=8820, lr=0.163500, batch loss=0.245633, epoch loss=1.557002
Batch=479, step=8880, lr=0.163250, batch loss=0.228560, epoch loss=1.785563
Batch=539, step=8940, lr=0.163000, batch loss=0.178170, epoch loss=1.963733
Batch=599, step=9000, lr=0.162750, batch loss=0.217348, epoch loss=2.181081
Batch=659, step=9060, lr=0.162500, batch loss=0.294843, epoch loss=2.475924
Batch=719, step=9120, lr=0.162250, batch loss=0.296404, epoch loss=2.772328
Batch=779, step=9180, lr=0.162000, batch loss=0.316770, epoch loss=3.089098
Batch=839, step=9240, lr=0.161750, batch loss=0.287219, epoch loss=3.376317
Batch=899, step=9300, lr=0.161500, batch loss=0.251089, epoch loss=3.627405
Batch=959, step=9360, lr=0.161250, batch loss=0.190478, epoch loss=3.817884
Batch=1019, step=9420, lr=0.161000, batch loss=0.311809, epoch loss=4.129693
Batch=1079, step=9480, lr=0.160750, batch loss=0.191514, epoch loss=4.321207
Batch=1139, step=9540, lr=0.160500, batch loss=0.215815, epoch loss=4.537022
Batch=1199, step=9600, lr=0.160250, batch loss=0.165625, epoch loss=4.702647
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702647
Batch=59, step=9660, lr=0.160000, batch loss=0.197179, epoch loss=0.197179
Batch=119, step=9720, lr=0.159750, batch loss=0.165497, epoch loss=0.362675
Batch=179, step=9780, lr=0.159500, batch loss=0.179294, epoch loss=0.541969
Batch=239, step=9840, lr=0.159250, batch loss=0.263822, epoch loss=0.805791
Batch=299, step=9900, lr=0.159000, batch loss=0.182233, epoch loss=0.988024
Batch=359, step=9960, lr=0.158750, batch loss=0.240805, epoch loss=1.228829
Batch=419, step=10020, lr=0.158500, batch loss=0.233012, epoch loss=1.461841
Batch=479, step=10080, lr=0.158250, batch loss=0.213161, epoch loss=1.675003
Batch=539, step=10140, lr=0.158000, batch loss=0.170610, epoch loss=1.845612
Batch=599, step=10200, lr=0.157750, batch loss=0.200188, epoch loss=2.045800
Batch=659, step=10260, lr=0.157500, batch loss=0.283090, epoch loss=2.328890
Batch=719, step=10320, lr=0.157250, batch loss=0.279631, epoch loss=2.608521
Batch=779, step=10380, lr=0.157000, batch loss=0.300808, epoch loss=2.909329
Batch=839, step=10440, lr=0.156750, batch loss=0.270960, epoch loss=3.180290
Batch=899, step=10500, lr=0.156500, batch loss=0.239823, epoch loss=3.420113
Batch=959, step=10560, lr=0.156250, batch loss=0.197996, epoch loss=3.618109
Batch=1019, step=10620, lr=0.156000, batch loss=0.293800, epoch loss=3.911908
Batch=1079, step=10680, lr=0.155750, batch loss=0.179766, epoch loss=4.091674
Batch=1139, step=10740, lr=0.155500, batch loss=0.204314, epoch loss=4.295988
Batch=1199, step=10800, lr=0.155250, batch loss=0.154702, epoch loss=4.450691
Epoch=8, step=10800, lr=0.155250, epoch loss=4.450691
Batch=59, step=10860, lr=0.155000, batch loss=0.176311, epoch loss=0.176311
Batch=119, step=10920, lr=0.154750, batch loss=0.147210, epoch loss=0.323521
Batch=179, step=10980, lr=0.154500, batch loss=0.166014, epoch loss=0.489535
Batch=239, step=11040, lr=0.154250, batch loss=0.241436, epoch loss=0.730971
Batch=299, step=11100, lr=0.154000, batch loss=0.170559, epoch loss=0.901530
Batch=359, step=11160, lr=0.153750, batch loss=0.221190, epoch loss=1.122721
Batch=419, step=11220, lr=0.153500, batch loss=0.218440, epoch loss=1.341161
Batch=479, step=11280, lr=0.153250, batch loss=0.209160, epoch loss=1.550321
Batch=539, step=11340, lr=0.153000, batch loss=0.158966, epoch loss=1.709287
Batch=599, step=11400, lr=0.152750, batch loss=0.177327, epoch loss=1.886614
Batch=659, step=11460, lr=0.152500, batch loss=0.265320, epoch loss=2.151934
Batch=719, step=11520, lr=0.152250, batch loss=0.260073, epoch loss=2.412007
Batch=779, step=11580, lr=0.152000, batch loss=0.272935, epoch loss=2.684942
Batch=839, step=11640, lr=0.151750, batch loss=0.256115, epoch loss=2.941058
Batch=899, step=11700, lr=0.151500, batch loss=0.212656, epoch loss=3.153713
Batch=959, step=11760, lr=0.151250, batch loss=0.168944, epoch loss=3.322658
Batch=1019, step=11820, lr=0.151000, batch loss=0.266413, epoch loss=3.589071
Batch=1079, step=11880, lr=0.150750, batch loss=0.148932, epoch loss=3.738003
Batch=1139, step=11940, lr=0.150500, batch loss=0.184324, epoch loss=3.922327
Batch=1199, step=12000, lr=0.150250, batch loss=0.138529, epoch loss=4.060857
Epoch=9, step=12000, lr=0.150250, epoch loss=4.060857
Batch=59, step=12060, lr=0.150000, batch loss=0.157938, epoch loss=0.157938
Batch=119, step=12120, lr=0.149750, batch loss=0.129061, epoch loss=0.286999
Batch=179, step=12180, lr=0.149500, batch loss=0.153577, epoch loss=0.440576
Batch=239, step=12240, lr=0.149250, batch loss=0.221365, epoch loss=0.661941
Batch=299, step=12300, lr=0.149000, batch loss=0.135666, epoch loss=0.797607
Batch=359, step=12360, lr=0.148750, batch loss=0.191222, epoch loss=0.988829
Batch=419, step=12420, lr=0.148500, batch loss=0.187650, epoch loss=1.176479
Batch=479, step=12480, lr=0.148250, batch loss=0.175583, epoch loss=1.352063
Batch=539, step=12540, lr=0.148000, batch loss=0.142087, epoch loss=1.494150
Batch=599, step=12600, lr=0.147750, batch loss=0.150045, epoch loss=1.644194
Batch=659, step=12660, lr=0.147500, batch loss=0.224829, epoch loss=1.869024
Batch=719, step=12720, lr=0.147250, batch loss=0.235208, epoch loss=2.104232
Batch=779, step=12780, lr=0.147000, batch loss=0.261364, epoch loss=2.365596
Batch=839, step=12840, lr=0.146750, batch loss=0.237572, epoch loss=2.603167
Batch=899, step=12900, lr=0.146500, batch loss=0.240881, epoch loss=2.844048
Batch=959, step=12960, lr=0.146250, batch loss=0.134492, epoch loss=2.978540
Batch=1019, step=13020, lr=0.146000, batch loss=0.207100, epoch loss=3.185640
Batch=1079, step=13080, lr=0.145750, batch loss=0.122494, epoch loss=3.308134
Batch=1139, step=13140, lr=0.145500, batch loss=0.172774, epoch loss=3.480908
Batch=1199, step=13200, lr=0.145250, batch loss=0.117411, epoch loss=3.598319
Epoch=10, step=13200, lr=0.145250, epoch loss=3.598319
Batch=59, step=13260, lr=0.145000, batch loss=0.141775, epoch loss=0.141775
Batch=119, step=13320, lr=0.144750, batch loss=0.120118, epoch loss=0.261893
Batch=179, step=13380, lr=0.144500, batch loss=0.129728, epoch loss=0.391621
Batch=239, step=13440, lr=0.144250, batch loss=0.193183, epoch loss=0.584805
Batch=299, step=13500, lr=0.144000, batch loss=0.116284, epoch loss=0.701089
Batch=359, step=13560, lr=0.143750, batch loss=0.159541, epoch loss=0.860630
Batch=419, step=13620, lr=0.143500, batch loss=0.155944, epoch loss=1.016574
Batch=479, step=13680, lr=0.143250, batch loss=0.141412, epoch loss=1.157986
Batch=539, step=13740, lr=0.143000, batch loss=0.121087, epoch loss=1.279073
Batch=599, step=13800, lr=0.142750, batch loss=0.119661, epoch loss=1.398734
Batch=659, step=13860, lr=0.142500, batch loss=0.176216, epoch loss=1.574950
Batch=719, step=13920, lr=0.142250, batch loss=0.174280, epoch loss=1.749229
Batch=779, step=13980, lr=0.142000, batch loss=0.195730, epoch loss=1.944960
Batch=839, step=14040, lr=0.141750, batch loss=0.184480, epoch loss=2.129439
Batch=899, step=14100, lr=0.141500, batch loss=0.158903, epoch loss=2.288342
Batch=959, step=14160, lr=0.141250, batch loss=0.156773, epoch loss=2.445116
Batch=1019, step=14220, lr=0.141000, batch loss=0.374588, epoch loss=2.819704
Batch=1079, step=14280, lr=0.140750, batch loss=0.069057, epoch loss=2.888761
Batch=1139, step=14340, lr=0.140500, batch loss=0.121613, epoch loss=3.010374
Batch=1199, step=14400, lr=0.140250, batch loss=0.092096, epoch loss=3.102470
Epoch=11, step=14400, lr=0.140250, epoch loss=3.102470
Batch=59, step=14460, lr=0.140000, batch loss=0.111726, epoch loss=0.111726
Batch=119, step=14520, lr=0.139750, batch loss=0.102257, epoch loss=0.213984
Batch=179, step=14580, lr=0.139500, batch loss=0.106828, epoch loss=0.320812
Batch=239, step=14640, lr=0.139250, batch loss=0.140610, epoch loss=0.461423
Batch=299, step=14700, lr=0.139000, batch loss=0.082053, epoch loss=0.543476
Batch=359, step=14760, lr=0.138750, batch loss=0.129097, epoch loss=0.672573
Batch=419, step=14820, lr=0.138500, batch loss=0.126452, epoch loss=0.799025
Batch=479, step=14880, lr=0.138250, batch loss=0.102113, epoch loss=0.901138
Batch=539, step=14940, lr=0.138000, batch loss=0.096926, epoch loss=0.998064
Batch=599, step=15000, lr=0.137750, batch loss=0.086958, epoch loss=1.085022
Batch=659, step=15060, lr=0.137500, batch loss=0.128088, epoch loss=1.213110
Batch=719, step=15120, lr=0.137250, batch loss=0.124829, epoch loss=1.337939
Batch=779, step=15180, lr=0.137000, batch loss=0.126308, epoch loss=1.464247
Batch=839, step=15240, lr=0.136750, batch loss=0.150763, epoch loss=1.615010
Batch=899, step=15300, lr=0.136500, batch loss=0.189142, epoch loss=1.804151
Batch=959, step=15360, lr=0.136250, batch loss=0.084370, epoch loss=1.888521
Batch=1019, step=15420, lr=0.136000, batch loss=0.162942, epoch loss=2.051464
Batch=1079, step=15480, lr=0.135750, batch loss=0.043313, epoch loss=2.094777
Batch=1139, step=15540, lr=0.135500, batch loss=0.105565, epoch loss=2.200342
Batch=1199, step=15600, lr=0.135250, batch loss=0.059700, epoch loss=2.260041
Epoch=12, step=15600, lr=0.135250, epoch loss=2.260041
Batch=59, step=15660, lr=0.135000, batch loss=0.085589, epoch loss=0.085589
Batch=119, step=15720, lr=0.134750, batch loss=0.146168, epoch loss=0.231757
Batch=179, step=15780, lr=0.134500, batch loss=0.102718, epoch loss=0.334474
Batch=239, step=15840, lr=0.134250, batch loss=0.098327, epoch loss=0.432802
Batch=299, step=15900, lr=0.134000, batch loss=0.042686, epoch loss=0.475488
Batch=359, step=15960, lr=0.133750, batch loss=0.082265, epoch loss=0.557752
Batch=419, step=16020, lr=0.133500, batch loss=0.078310, epoch loss=0.636062
Batch=479, step=16080, lr=0.133250, batch loss=0.061379, epoch loss=0.697441
Batch=539, step=16140, lr=0.133000, batch loss=0.061050, epoch loss=0.758491
Batch=599, step=16200, lr=0.132750, batch loss=0.136499, epoch loss=0.894990
Batch=659, step=16260, lr=0.132500, batch loss=0.085908, epoch loss=0.980897
Batch=719, step=16320, lr=0.132250, batch loss=0.122163, epoch loss=1.103060
Batch=779, step=16380, lr=0.132000, batch loss=0.267228, epoch loss=1.370289
Batch=839, step=16440, lr=0.131750, batch loss=0.087715, epoch loss=1.458004
Batch=899, step=16500, lr=0.131500, batch loss=0.072477, epoch loss=1.530481
Batch=959, step=16560, lr=0.131250, batch loss=0.036094, epoch loss=1.566574
Batch=1019, step=16620, lr=0.131000, batch loss=0.093030, epoch loss=1.659605
Batch=1079, step=16680, lr=0.130750, batch loss=0.027448, epoch loss=1.687053
Batch=1139, step=16740, lr=0.130500, batch loss=0.059075, epoch loss=1.746128
Batch=1199, step=16800, lr=0.130250, batch loss=0.029463, epoch loss=1.775591
Epoch=13, step=16800, lr=0.130250, epoch loss=1.775591
Batch=59, step=16860, lr=0.130000, batch loss=0.035616, epoch loss=0.035616
Batch=119, step=16920, lr=0.129750, batch loss=0.042517, epoch loss=0.078133
Batch=179, step=16980, lr=0.129500, batch loss=0.044136, epoch loss=0.122269
Batch=239, step=17040, lr=0.129250, batch loss=0.061816, epoch loss=0.184085
Batch=299, step=17100, lr=0.129000, batch loss=0.029806, epoch loss=0.213891
Batch=359, step=17160, lr=0.128750, batch loss=0.045074, epoch loss=0.258965
Batch=419, step=17220, lr=0.128500, batch loss=0.075176, epoch loss=0.334141
Batch=479, step=17280, lr=0.128250, batch loss=0.023238, epoch loss=0.357380
Batch=539, step=17340, lr=0.128000, batch loss=0.028156, epoch loss=0.385535
Batch=599, step=17400, lr=0.127750, batch loss=0.035191, epoch loss=0.420726
Batch=659, step=17460, lr=0.127500, batch loss=0.046695, epoch loss=0.467421
Batch=719, step=17520, lr=0.127250, batch loss=0.061964, epoch loss=0.529385
Batch=779, step=17580, lr=0.127000, batch loss=0.065361, epoch loss=0.594746
Batch=839, step=17640, lr=0.126750, batch loss=0.101114, epoch loss=0.695860
Batch=899, step=17700, lr=0.126500, batch loss=0.053616, epoch loss=0.749476
Batch=959, step=17760, lr=0.126250, batch loss=0.018547, epoch loss=0.768023
Batch=1019, step=17820, lr=0.126000, batch loss=0.026581, epoch loss=0.794603
Batch=1079, step=17880, lr=0.125750, batch loss=0.022206, epoch loss=0.816810
Batch=1139, step=17940, lr=0.125500, batch loss=0.054318, epoch loss=0.871127
Batch=1199, step=18000, lr=0.125250, batch loss=0.017347, epoch loss=0.888475
Epoch=14, step=18000, lr=0.125250, epoch loss=0.888475
Batch=59, step=18060, lr=0.125000, batch loss=0.013454, epoch loss=0.013454
Batch=119, step=18120, lr=0.124750, batch loss=0.020468, epoch loss=0.033922
Batch=179, step=18180, lr=0.124500, batch loss=0.028972, epoch loss=0.062894
Batch=239, step=18240, lr=0.124250, batch loss=0.032585, epoch loss=0.095479
Batch=299, step=18300, lr=0.124000, batch loss=0.009285, epoch loss=0.104763
Batch=359, step=18360, lr=0.123750, batch loss=0.025149, epoch loss=0.129912
Batch=419, step=18420, lr=0.123500, batch loss=0.028704, epoch loss=0.158616
Batch=479, step=18480, lr=0.123250, batch loss=0.012669, epoch loss=0.171285
Batch=539, step=18540, lr=0.123000, batch loss=0.022034, epoch loss=0.193319
Batch=599, step=18600, lr=0.122750, batch loss=0.028064, epoch loss=0.221383
Batch=659, step=18660, lr=0.122500, batch loss=0.031073, epoch loss=0.252456
Batch=719, step=18720, lr=0.122250, batch loss=0.051611, epoch loss=0.304067
Batch=779, step=18780, lr=0.122000, batch loss=0.046789, epoch loss=0.350856
Batch=839, step=18840, lr=0.121750, batch loss=0.069969, epoch loss=0.420825
Batch=899, step=18900, lr=0.121500, batch loss=0.037918, epoch loss=0.458743
Batch=959, step=18960, lr=0.121250, batch loss=0.012780, epoch loss=0.471523
Batch=1019, step=19020, lr=0.121000, batch loss=0.021337, epoch loss=0.492860
Batch=1079, step=19080, lr=0.120750, batch loss=0.016365, epoch loss=0.509224
Batch=1139, step=19140, lr=0.120500, batch loss=0.032702, epoch loss=0.541927
Batch=1199, step=19200, lr=0.120250, batch loss=0.012032, epoch loss=0.553959
Epoch=15, step=19200, lr=0.120250, epoch loss=0.553959
Batch=59, step=19260, lr=0.120000, batch loss=0.011755, epoch loss=0.011755
Batch=119, step=19320, lr=0.119750, batch loss=0.024345, epoch loss=0.036100
Batch=179, step=19380, lr=0.119500, batch loss=0.073992, epoch loss=0.110093
Batch=239, step=19440, lr=0.119250, batch loss=0.030085, epoch loss=0.140177
Batch=299, step=19500, lr=0.119000, batch loss=0.015585, epoch loss=0.155762
Batch=359, step=19560, lr=0.118750, batch loss=0.035871, epoch loss=0.191633
Batch=419, step=19620, lr=0.118500, batch loss=0.021175, epoch loss=0.212809
Batch=479, step=19680, lr=0.118250, batch loss=0.006833, epoch loss=0.219642
Batch=539, step=19740, lr=0.118000, batch loss=0.018968, epoch loss=0.238610
Batch=599, step=19800, lr=0.117750, batch loss=0.022764, epoch loss=0.261373
Batch=659, step=19860, lr=0.117500, batch loss=0.019921, epoch loss=0.281294
Batch=719, step=19920, lr=0.117250, batch loss=0.037093, epoch loss=0.318387
Batch=779, step=19980, lr=0.117000, batch loss=0.082878, epoch loss=0.401265
Batch=839, step=20040, lr=0.116750, batch loss=0.031532, epoch loss=0.432797
Batch=899, step=20100, lr=0.116500, batch loss=0.030848, epoch loss=0.463646
Batch=959, step=20160, lr=0.116250, batch loss=0.011318, epoch loss=0.474964
Batch=1019, step=20220, lr=0.116000, batch loss=0.017531, epoch loss=0.492494
Batch=1079, step=20280, lr=0.115750, batch loss=0.003253, epoch loss=0.495747
Batch=1139, step=20340, lr=0.115500, batch loss=0.015554, epoch loss=0.511301
Batch=1199, step=20400, lr=0.115250, batch loss=0.006405, epoch loss=0.517706
Epoch=16, step=20400, lr=0.115250, epoch loss=0.517706
Batch=59, step=20460, lr=0.115000, batch loss=0.003191, epoch loss=0.003191
Batch=119, step=20520, lr=0.114750, batch loss=0.008484, epoch loss=0.011674
Batch=179, step=20580, lr=0.114500, batch loss=0.015428, epoch loss=0.027103
Batch=239, step=20640, lr=0.114250, batch loss=0.013300, epoch loss=0.040403
Batch=299, step=20700, lr=0.114000, batch loss=0.005021, epoch loss=0.045424
Batch=359, step=20760, lr=0.113750, batch loss=0.015908, epoch loss=0.061333
Batch=419, step=20820, lr=0.113500, batch loss=0.015127, epoch loss=0.076459
Batch=479, step=20880, lr=0.113250, batch loss=0.004549, epoch loss=0.081009
Batch=539, step=20940, lr=0.113000, batch loss=0.028521, epoch loss=0.109530
Batch=599, step=21000, lr=0.112750, batch loss=0.020947, epoch loss=0.130477
Batch=659, step=21060, lr=0.112500, batch loss=0.014089, epoch loss=0.144566
Batch=719, step=21120, lr=0.112250, batch loss=0.044087, epoch loss=0.188654
Batch=779, step=21180, lr=0.112000, batch loss=0.073069, epoch loss=0.261723
Batch=839, step=21240, lr=0.111750, batch loss=0.026282, epoch loss=0.288005
Batch=899, step=21300, lr=0.111500, batch loss=0.036726, epoch loss=0.324731
Batch=959, step=21360, lr=0.111250, batch loss=0.010329, epoch loss=0.335060
Batch=1019, step=21420, lr=0.111000, batch loss=0.011819, epoch loss=0.346879
Batch=1079, step=21480, lr=0.110750, batch loss=0.000323, epoch loss=0.347202
Batch=1139, step=21540, lr=0.110500, batch loss=0.012750, epoch loss=0.359952
Batch=1199, step=21600, lr=0.110250, batch loss=0.004942, epoch loss=0.364894
Epoch=17, step=21600, lr=0.110250, epoch loss=0.364894
Batch=59, step=21660, lr=0.110000, batch loss=0.002278, epoch loss=0.002278
Batch=119, step=21720, lr=0.109750, batch loss=0.006977, epoch loss=0.009255
Batch=179, step=21780, lr=0.109500, batch loss=0.012907, epoch loss=0.022162
Batch=239, step=21840, lr=0.109250, batch loss=0.010900, epoch loss=0.033062
Batch=299, step=21900, lr=0.109000, batch loss=0.002218, epoch loss=0.035280
Batch=359, step=21960, lr=0.108750, batch loss=0.011804, epoch loss=0.047084
Batch=419, step=22020, lr=0.108500, batch loss=0.011784, epoch loss=0.058868
Batch=479, step=22080, lr=0.108250, batch loss=0.003127, epoch loss=0.061995
Batch=539, step=22140, lr=0.108000, batch loss=0.018420, epoch loss=0.080416
Batch=599, step=22200, lr=0.107750, batch loss=0.016452, epoch loss=0.096868
Batch=659, step=22260, lr=0.107500, batch loss=0.014189, epoch loss=0.111057
Batch=719, step=22320, lr=0.107250, batch loss=0.029592, epoch loss=0.140649
Batch=779, step=22380, lr=0.107000, batch loss=0.042562, epoch loss=0.183211
Batch=839, step=22440, lr=0.106750, batch loss=0.022125, epoch loss=0.205336
Batch=899, step=22500, lr=0.106500, batch loss=0.021404, epoch loss=0.226741
Batch=959, step=22560, lr=0.106250, batch loss=0.010886, epoch loss=0.237627
Batch=1019, step=22620, lr=0.106000, batch loss=0.009608, epoch loss=0.247235
Batch=1079, step=22680, lr=0.105750, batch loss=0.000313, epoch loss=0.247548
Batch=1139, step=22740, lr=0.105500, batch loss=0.011385, epoch loss=0.258933
Batch=1199, step=22800, lr=0.105250, batch loss=0.004328, epoch loss=0.263261
Epoch=18, step=22800, lr=0.105250, epoch loss=0.263261
Batch=59, step=22860, lr=0.105000, batch loss=0.001397, epoch loss=0.001397
Batch=119, step=22920, lr=0.104750, batch loss=0.005336, epoch loss=0.006733
Batch=179, step=22980, lr=0.104500, batch loss=0.011187, epoch loss=0.017920
Batch=239, step=23040, lr=0.104250, batch loss=0.009144, epoch loss=0.027064
Batch=299, step=23100, lr=0.104000, batch loss=0.009043, epoch loss=0.036106
Batch=359, step=23160, lr=0.103750, batch loss=0.011273, epoch loss=0.047380
Batch=419, step=23220, lr=0.103500, batch loss=0.010155, epoch loss=0.057535
Batch=479, step=23280, lr=0.103250, batch loss=0.002323, epoch loss=0.059858
Batch=539, step=23340, lr=0.103000, batch loss=0.016980, epoch loss=0.076837
Batch=599, step=23400, lr=0.102750, batch loss=0.013340, epoch loss=0.090177
Batch=659, step=23460, lr=0.102500, batch loss=0.011550, epoch loss=0.101727
Batch=719, step=23520, lr=0.102250, batch loss=0.010158, epoch loss=0.111886
Batch=779, step=23580, lr=0.102000, batch loss=0.017192, epoch loss=0.129077
Batch=839, step=23640, lr=0.101750, batch loss=0.027341, epoch loss=0.156419
Batch=899, step=23700, lr=0.101500, batch loss=0.020953, epoch loss=0.177372
Batch=959, step=23760, lr=0.101250, batch loss=0.007888, epoch loss=0.185259
Batch=1019, step=23820, lr=0.101000, batch loss=0.008736, epoch loss=0.193995
Batch=1079, step=23880, lr=0.100500, batch loss=0.001084, epoch loss=0.195079
Batch=1139, step=23940, lr=0.100500, batch loss=0.008549, epoch loss=0.203628
Batch=1199, step=24000, lr=0.100250, batch loss=0.004566, epoch loss=0.208195
Epoch=19, step=24000, lr=0.100250, epoch loss=0.208195


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 16:35.16 ---> saved as "1838425cd890e62be838a2fd7f85bacdae8f5f685d3fd59fe14cbb129bf68d4a"
Job succeeded
2025-03-21 16:35.17: Job succeeded