debian-12-5.2_opam-2.3

2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (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 ccaf459c
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


2025-03-20 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5"
2025-03-20 21:04.47: 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"))
)


2025-03-20 21:04.47: Waiting for resource in pool OCluster
2025-03-20 21:04.47: Waiting for worker…
2025-03-20 21:17.00: 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:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-20 21:17.49 ---> 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"))
2025-03-20 21:17.49 ---> 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.


Continue? [y/n] y
[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
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 21:19.08 ---> 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
2025-03-20 21:19.08 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 21:19.08 ---> 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..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 21:20.14 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 21:20.15 ---> saved as "b68856cc9fdb5adde2f44cb80bd2b7d98628491444092dc1e4cb5c2b933834ac"


/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 21:20.20 ---> saved as "8f98fdff0f4a9126e2dae3bfaee5ea787e82f9284ad1f673addd07cc348ca6ca"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 21:20.20 ---> saved as "d439651848c11ffde7654c863f03bda63ab79e9ab72a318c9e8cf2c6fca47186"


/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 0s (823 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) ...
2025-03-20 21:20.49 ---> saved as "26683538ca59c0b8cdaafd23e2d04c07b87e15b3b98bb56fc3637e9ee7a37871"


/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)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed cppo.1.8.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed dune-configurator.3.17.2
-> installed parsexp.v0.17.0
-> 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 ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.0
-> 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)
2025-03-20 21:23.12 ---> saved as "3e5792a3c33a71366692cd31550bb58637ff47145c556a161daabbb4d2ef136a"


/src: (copy (src .) (dst /src))
2025-03-20 21:23.13 ---> saved as "569f6f439d49f9d32a476defb5f24019c7abff92b649881a0b39ac9617c13b03"


/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/63776043acbbf04b0d13985462265635/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/3afa83330d192f7ef97e8c318d5f9e96/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/63776043acbbf04b0d13985462265635/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/63776043acbbf04b0d13985462265635/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=0.199250, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934
Batch=299, step=300, lr=0.198750, batch loss=1.444952, epoch loss=37.062886
Batch=359, step=360, lr=0.198750, batch loss=1.336864, epoch loss=38.399751
Batch=419, step=420, lr=0.198250, batch loss=0.615027, epoch loss=39.014778
Batch=479, step=480, lr=0.198000, batch loss=0.793652, epoch loss=39.808430
Batch=539, step=540, lr=0.197750, batch loss=0.653487, epoch loss=40.461917
Batch=599, step=600, lr=0.197500, batch loss=1.082964, epoch loss=41.544881
Batch=659, step=660, lr=0.197250, batch loss=0.482792, epoch loss=42.027673
Batch=719, step=720, lr=0.197000, batch loss=0.412537, epoch loss=42.440210
Batch=779, step=780, lr=0.196750, batch loss=0.470801, epoch loss=42.911011
Batch=839, step=840, lr=0.196500, batch loss=0.445245, epoch loss=43.356256
Batch=899, step=900, lr=0.196250, batch loss=0.386288, epoch loss=43.742544
Batch=959, step=960, lr=0.196000, batch loss=0.250914, epoch loss=43.993458
Batch=1019, step=1020, lr=0.196000, batch loss=0.472111, epoch loss=44.465569
Batch=1079, step=1080, lr=0.195500, batch loss=0.247234, epoch loss=44.712803
Batch=1139, step=1140, lr=0.195250, batch loss=0.319288, epoch loss=45.032091
Batch=1199, step=1200, lr=0.195000, batch loss=0.265834, epoch loss=45.297925
Epoch=0, step=1200, lr=0.195000, epoch loss=45.297925
Batch=59, step=1260, lr=0.195000, batch loss=0.264302, epoch loss=0.264302
Batch=119, step=1320, lr=0.194500, batch loss=0.206300, epoch loss=0.470601
Batch=179, step=1380, lr=0.194250, batch loss=0.247350, epoch loss=0.717951
Batch=239, step=1440, lr=0.194250, batch loss=0.353880, epoch loss=1.071832
Batch=299, step=1500, lr=0.193750, batch loss=0.237634, epoch loss=1.309466
Batch=359, step=1560, lr=0.193750, batch loss=0.315305, epoch loss=1.624771
Batch=419, step=1620, lr=0.193250, batch loss=0.309352, epoch loss=1.934123
Batch=479, step=1680, lr=0.193250, batch loss=0.274662, epoch loss=2.208785
Batch=539, step=1740, lr=0.192750, batch loss=0.210952, epoch loss=2.419737
Batch=599, step=1800, lr=0.192500, batch loss=0.251576, epoch loss=2.671314
Batch=659, step=1860, lr=0.192250, batch loss=0.368724, epoch loss=3.040038
Batch=719, step=1920, lr=0.192250, batch loss=0.358855, epoch loss=3.398892
Batch=779, step=1980, lr=0.191750, batch loss=0.389129, epoch loss=3.788021
Batch=839, step=2040, lr=0.191750, batch loss=0.348135, epoch loss=4.136156
Batch=899, step=2100, lr=0.191500, batch loss=0.329076, epoch loss=4.465232
Batch=959, step=2160, lr=0.191250, batch loss=0.255855, epoch loss=4.721087
Batch=1019, step=2220, lr=0.191000, batch loss=0.394593, epoch loss=5.115679
Batch=1079, step=2280, lr=0.190750, batch loss=0.218919, epoch loss=5.334598
Batch=1139, step=2340, lr=0.190500, batch loss=0.266604, epoch loss=5.601202
Batch=1199, step=2400, lr=0.190250, batch loss=0.213310, epoch loss=5.814512
Epoch=1, step=2400, lr=0.190250, epoch loss=5.814512
Batch=59, step=2460, lr=0.190000, batch loss=0.234931, epoch loss=0.234931
Batch=119, step=2520, lr=0.189500, batch loss=0.196965, epoch loss=0.431896
Batch=179, step=2580, lr=0.189250, batch loss=0.222983, epoch loss=0.654879
Batch=239, step=2640, lr=0.189250, batch loss=0.331133, epoch loss=0.986011
Batch=299, step=2700, lr=0.189000, batch loss=0.206656, epoch loss=1.192667
Batch=359, step=2760, lr=0.188500, batch loss=0.294081, epoch loss=1.486748
Batch=419, step=2820, lr=0.188250, batch loss=0.283442, epoch loss=1.770190
Batch=479, step=2880, lr=0.188000, batch loss=0.259155, epoch loss=2.029345
Batch=539, step=2940, lr=0.188000, batch loss=0.197939, epoch loss=2.227284
Batch=599, step=3000, lr=0.187750, batch loss=0.238804, epoch loss=2.466088
Batch=659, step=3060, lr=0.187250, batch loss=0.344898, epoch loss=2.810986
Batch=719, step=3120, lr=0.187000, batch loss=0.346084, epoch loss=3.157070
Batch=779, step=3180, lr=0.186750, batch loss=0.366700, epoch loss=3.523770
Batch=839, step=3240, lr=0.186750, batch loss=0.325617, epoch loss=3.849388
Batch=899, step=3300, lr=0.186250, batch loss=0.287733, epoch loss=4.137121
Batch=959, step=3360, lr=0.186250, batch loss=0.214489, epoch loss=4.351609
Batch=1019, step=3420, lr=0.186000, batch loss=0.304464, epoch loss=4.656073
Batch=1079, step=3480, lr=0.185750, batch loss=0.170367, epoch loss=4.826440
Batch=1139, step=3540, lr=0.185250, batch loss=0.230547, epoch loss=5.056987
Batch=1199, step=3600, lr=0.185000, batch loss=0.199079, epoch loss=5.256066
Epoch=2, step=3600, lr=0.185000, epoch loss=5.256066
Batch=59, step=3660, lr=0.184750, batch loss=0.231953, epoch loss=0.231953
Batch=119, step=3720, lr=0.184750, batch loss=0.199650, epoch loss=0.431602
Batch=179, step=3780, lr=0.184500, batch loss=0.211023, epoch loss=0.642625
Batch=239, step=3840, lr=0.184250, batch loss=0.317403, epoch loss=0.960028
Batch=299, step=3900, lr=0.184000, batch loss=0.203138, epoch loss=1.163166
Batch=359, step=3960, lr=0.183750, batch loss=0.282797, epoch loss=1.445963
Batch=419, step=4020, lr=0.183500, batch loss=0.272944, epoch loss=1.718907
Batch=479, step=4080, lr=0.183250, batch loss=0.254509, epoch loss=1.973416
Batch=539, step=4140, lr=0.183000, batch loss=0.202358, epoch loss=2.175774
Batch=599, step=4200, lr=0.182750, batch loss=0.254576, epoch loss=2.430350
Batch=659, step=4260, lr=0.182500, batch loss=0.345214, epoch loss=2.775564
Batch=719, step=4320, lr=0.182250, batch loss=0.347496, epoch loss=3.123060
Batch=779, step=4380, lr=0.182000, batch loss=0.347325, epoch loss=3.470385
Batch=839, step=4440, lr=0.181750, batch loss=0.318144, epoch loss=3.788530
Batch=899, step=4500, lr=0.181500, batch loss=0.285509, epoch loss=4.074039
Batch=959, step=4560, lr=0.181250, batch loss=0.240772, epoch loss=4.314810
Batch=1019, step=4620, lr=0.181000, batch loss=0.331509, epoch loss=4.646319
Batch=1079, step=4680, lr=0.180750, batch loss=0.198796, epoch loss=4.845115
Batch=1139, step=4740, lr=0.180500, batch loss=0.240409, epoch loss=5.085524
Batch=1199, step=4800, lr=0.180250, batch loss=0.192186, epoch loss=5.277710
Epoch=3, step=4800, lr=0.180250, epoch loss=5.277710
Batch=59, step=4860, lr=0.180000, batch loss=0.224693, epoch loss=0.224693
Batch=119, step=4920, lr=0.179750, batch loss=0.186854, epoch loss=0.411547
Batch=179, step=4980, lr=0.179500, batch loss=0.205929, epoch loss=0.617476
Batch=239, step=5040, lr=0.179250, batch loss=0.309337, epoch loss=0.926813
Batch=299, step=5100, lr=0.179000, batch loss=0.205798, epoch loss=1.132611
Batch=359, step=5160, lr=0.178750, batch loss=0.277503, epoch loss=1.410114
Batch=419, step=5220, lr=0.178500, batch loss=0.275172, epoch loss=1.685287
Batch=479, step=5280, lr=0.178250, batch loss=0.246872, epoch loss=1.932158
Batch=539, step=5340, lr=0.178000, batch loss=0.192609, epoch loss=2.124768
Batch=599, step=5400, lr=0.177750, batch loss=0.226407, epoch loss=2.351175
Batch=659, step=5460, lr=0.177500, batch loss=0.326696, epoch loss=2.677871
Batch=719, step=5520, lr=0.177250, batch loss=0.334262, epoch loss=3.012132
Batch=779, step=5580, lr=0.177000, batch loss=0.344515, epoch loss=3.356647
Batch=839, step=5640, lr=0.176500, batch loss=0.309047, epoch loss=3.665694
Batch=899, step=5700, lr=0.176500, batch loss=0.272483, epoch loss=3.938177
Batch=959, step=5760, lr=0.176250, batch loss=0.216210, epoch loss=4.154388
Batch=1019, step=5820, lr=0.175750, batch loss=0.340338, epoch loss=4.494725
Batch=1079, step=5880, lr=0.175750, batch loss=0.204281, epoch loss=4.699006
Batch=1139, step=5940, lr=0.175500, batch loss=0.241149, epoch loss=4.940155
Batch=1199, step=6000, lr=0.175250, batch loss=0.187765, epoch loss=5.127920
Epoch=4, step=6000, lr=0.175250, epoch loss=5.127920
Batch=59, step=6060, lr=0.175000, batch loss=0.232288, epoch loss=0.232288
Batch=119, step=6120, lr=0.174750, batch loss=0.192530, epoch loss=0.424818
Batch=179, step=6180, lr=0.174500, batch loss=0.202235, epoch loss=0.627053
Batch=239, step=6240, lr=0.174250, batch loss=0.302306, epoch loss=0.929359
Batch=299, step=6300, lr=0.173750, batch loss=0.206014, epoch loss=1.135373
Batch=359, step=6360, lr=0.173750, batch loss=0.267469, epoch loss=1.402842
Batch=419, step=6420, lr=0.173500, batch loss=0.261150, epoch loss=1.663992
Batch=479, step=6480, lr=0.173250, batch loss=0.237470, epoch loss=1.901462
Batch=539, step=6540, lr=0.173000, batch loss=0.189052, epoch loss=2.090514
Batch=599, step=6600, lr=0.172750, batch loss=0.225843, epoch loss=2.316357
Batch=659, step=6660, lr=0.172250, batch loss=0.316666, epoch loss=2.633023
Batch=719, step=6720, lr=0.172000, batch loss=0.314576, epoch loss=2.947599
Batch=779, step=6780, lr=0.172000, batch loss=0.332853, epoch loss=3.280452
Batch=839, step=6840, lr=0.171750, batch loss=0.304058, epoch loss=3.584509
Batch=899, step=6900, lr=0.171250, batch loss=0.267305, epoch loss=3.851814
Batch=959, step=6960, lr=0.171250, batch loss=0.211380, epoch loss=4.063194
Batch=1019, step=7020, lr=0.171000, batch loss=0.333046, epoch loss=4.396241
Batch=1079, step=7080, lr=0.170750, batch loss=0.193116, epoch loss=4.589357
Batch=1139, step=7140, lr=0.170500, batch loss=0.233227, epoch loss=4.822584
Batch=1199, step=7200, lr=0.170250, batch loss=0.180837, epoch loss=5.003422
Epoch=5, step=7200, lr=0.170250, epoch loss=5.003422
Batch=59, step=7260, lr=0.170000, batch loss=0.223532, epoch loss=0.223532
Batch=119, step=7320, lr=0.169750, batch loss=0.183274, epoch loss=0.406806
Batch=179, step=7380, lr=0.169500, batch loss=0.196815, epoch loss=0.603621
Batch=239, step=7440, lr=0.169250, batch loss=0.291298, epoch loss=0.894919
Batch=299, step=7500, lr=0.169000, batch loss=0.202544, epoch loss=1.097462
Batch=359, step=7560, lr=0.168750, batch loss=0.257253, epoch loss=1.354716
Batch=419, step=7620, lr=0.168500, batch loss=0.253029, epoch loss=1.607745
Batch=479, step=7680, lr=0.168250, batch loss=0.233820, epoch loss=1.841565
Batch=539, step=7740, lr=0.168000, batch loss=0.190836, epoch loss=2.032402
Batch=599, step=7800, lr=0.167750, batch loss=0.221622, epoch loss=2.254024
Batch=659, step=7860, lr=0.167500, batch loss=0.307941, epoch loss=2.561965
Batch=719, step=7920, lr=0.167250, batch loss=0.308445, epoch loss=2.870410
Batch=779, step=7980, lr=0.166750, batch loss=0.323505, epoch loss=3.193915
Batch=839, step=8040, lr=0.166500, batch loss=0.297422, epoch loss=3.491337
Batch=899, step=8100, lr=0.166500, batch loss=0.265867, epoch loss=3.757204
Batch=959, step=8160, lr=0.166000, batch loss=0.222416, epoch loss=3.979620
Batch=1019, step=8220, lr=0.165750, batch loss=0.309497, epoch loss=4.289117
Batch=1079, step=8280, lr=0.165750, batch loss=0.178286, epoch loss=4.467402
Batch=1139, step=8340, lr=0.165500, batch loss=0.208889, epoch loss=4.676291
Batch=1199, step=8400, lr=0.165000, batch loss=0.181076, epoch loss=4.857367
Epoch=6, step=8400, lr=0.165000, epoch loss=4.857367
Batch=59, step=8460, lr=0.165000, batch loss=0.223774, epoch loss=0.223774
Batch=119, step=8520, lr=0.164750, batch loss=0.179337, epoch loss=0.403111
Batch=179, step=8580, lr=0.164500, batch loss=0.188373, epoch loss=0.591484
Batch=239, step=8640, lr=0.164250, batch loss=0.278564, epoch loss=0.870048
Batch=299, step=8700, lr=0.163750, batch loss=0.190170, epoch loss=1.060218
Batch=359, step=8760, lr=0.163750, batch loss=0.244236, epoch loss=1.304454
Batch=419, step=8820, lr=0.163250, batch loss=0.239477, epoch loss=1.543931
Batch=479, step=8880, lr=0.163250, batch loss=0.214515, epoch loss=1.758446
Batch=539, step=8940, lr=0.163000, batch loss=0.178967, epoch loss=1.937413
Batch=599, step=9000, lr=0.162750, batch loss=0.219774, epoch loss=2.157187
Batch=659, step=9060, lr=0.162500, batch loss=0.293750, epoch loss=2.450937
Batch=719, step=9120, lr=0.162250, batch loss=0.294565, epoch loss=2.745502
Batch=779, step=9180, lr=0.162000, batch loss=0.315455, epoch loss=3.060957
Batch=839, step=9240, lr=0.161500, batch loss=0.287587, epoch loss=3.348543
Batch=899, step=9300, lr=0.161250, batch loss=0.251779, epoch loss=3.600323
Batch=959, step=9360, lr=0.161250, batch loss=0.190973, epoch loss=3.791296
Batch=1019, step=9420, lr=0.161000, batch loss=0.316936, epoch loss=4.108232
Batch=1079, step=9480, lr=0.160500, batch loss=0.203080, epoch loss=4.311312
Batch=1139, step=9540, lr=0.160500, batch loss=0.211441, epoch loss=4.522752
Batch=1199, step=9600, lr=0.160250, batch loss=0.167406, epoch loss=4.690158
Epoch=7, step=9600, lr=0.160250, epoch loss=4.690158
Batch=59, step=9660, lr=0.160000, batch loss=0.194165, epoch loss=0.194165
Batch=119, step=9720, lr=0.159750, batch loss=0.163207, epoch loss=0.357372
Batch=179, step=9780, lr=0.159500, batch loss=0.178555, epoch loss=0.535928
Batch=239, step=9840, lr=0.159250, batch loss=0.263663, epoch loss=0.799590
Batch=299, step=9900, lr=0.159000, batch loss=0.181519, epoch loss=0.981109
Batch=359, step=9960, lr=0.158750, batch loss=0.234569, epoch loss=1.215679
Batch=419, step=10020, lr=0.158500, batch loss=0.231641, epoch loss=1.447320
Batch=479, step=10080, lr=0.158250, batch loss=0.216082, epoch loss=1.663401
Batch=539, step=10140, lr=0.158000, batch loss=0.169071, epoch loss=1.832472
Batch=599, step=10200, lr=0.157750, batch loss=0.204952, epoch loss=2.037425
Batch=659, step=10260, lr=0.157500, batch loss=0.280946, epoch loss=2.318370
Batch=719, step=10320, lr=0.157000, batch loss=0.281288, epoch loss=2.599658
Batch=779, step=10380, lr=0.157000, batch loss=0.297623, epoch loss=2.897282
Batch=839, step=10440, lr=0.156750, batch loss=0.273603, epoch loss=3.170885
Batch=899, step=10500, lr=0.156500, batch loss=0.237764, epoch loss=3.408648
Batch=959, step=10560, lr=0.156250, batch loss=0.191093, epoch loss=3.599741
Batch=1019, step=10620, lr=0.156000, batch loss=0.289220, epoch loss=3.888961
Batch=1079, step=10680, lr=0.155750, batch loss=0.188173, epoch loss=4.077134
Batch=1139, step=10740, lr=0.155500, batch loss=0.201807, epoch loss=4.278942
Batch=1199, step=10800, lr=0.155000, batch loss=0.156442, epoch loss=4.435384
Epoch=8, step=10800, lr=0.155000, epoch loss=4.435384
Batch=59, step=10860, lr=0.154750, batch loss=0.178064, epoch loss=0.178064
Batch=119, step=10920, lr=0.154750, batch loss=0.153771, epoch loss=0.331835
Batch=179, step=10980, lr=0.154250, batch loss=0.167698, epoch loss=0.499532
Batch=239, step=11040, lr=0.154250, batch loss=0.247379, epoch loss=0.746912
Batch=299, step=11100, lr=0.154000, batch loss=0.161469, epoch loss=0.908381
Batch=359, step=11160, lr=0.153500, batch loss=0.227893, epoch loss=1.136274
Batch=419, step=11220, lr=0.153500, batch loss=0.235239, epoch loss=1.371513
Batch=479, step=11280, lr=0.153000, batch loss=0.199615, epoch loss=1.571127
Batch=539, step=11340, lr=0.153000, batch loss=0.158564, epoch loss=1.729691
Batch=599, step=11400, lr=0.152500, batch loss=0.181471, epoch loss=1.911162
Batch=659, step=11460, lr=0.152500, batch loss=0.264034, epoch loss=2.175196
Batch=719, step=11520, lr=0.152000, batch loss=0.260652, epoch loss=2.435848
Batch=779, step=11580, lr=0.152000, batch loss=0.272302, epoch loss=2.708150
Batch=839, step=11640, lr=0.151750, batch loss=0.252092, epoch loss=2.960242
Batch=899, step=11700, lr=0.151500, batch loss=0.218902, epoch loss=3.179144
Batch=959, step=11760, lr=0.151250, batch loss=0.177668, epoch loss=3.356812
Batch=1019, step=11820, lr=0.150750, batch loss=0.259482, epoch loss=3.616294
Batch=1079, step=11880, lr=0.150750, batch loss=0.138441, epoch loss=3.754735
Batch=1139, step=11940, lr=0.150500, batch loss=0.166852, epoch loss=3.921587
Batch=1199, step=12000, lr=0.150250, batch loss=0.141038, epoch loss=4.062625
Epoch=9, step=12000, lr=0.150250, epoch loss=4.062625
Batch=59, step=12060, lr=0.150000, batch loss=0.180939, epoch loss=0.180939
Batch=119, step=12120, lr=0.149750, batch loss=0.147150, epoch loss=0.328089
Batch=179, step=12180, lr=0.149500, batch loss=0.151853, epoch loss=0.479942
Batch=239, step=12240, lr=0.149250, batch loss=0.220462, epoch loss=0.700404
Batch=299, step=12300, lr=0.149000, batch loss=0.143323, epoch loss=0.843726
Batch=359, step=12360, lr=0.148750, batch loss=0.198444, epoch loss=1.042170
Batch=419, step=12420, lr=0.148500, batch loss=0.209416, epoch loss=1.251586
Batch=479, step=12480, lr=0.148250, batch loss=0.179511, epoch loss=1.431097
Batch=539, step=12540, lr=0.148000, batch loss=0.144669, epoch loss=1.575766
Batch=599, step=12600, lr=0.147750, batch loss=0.149890, epoch loss=1.725656
Batch=659, step=12660, lr=0.147500, batch loss=0.229111, epoch loss=1.954767
Batch=719, step=12720, lr=0.147250, batch loss=0.235791, epoch loss=2.190558
Batch=779, step=12780, lr=0.146750, batch loss=0.259067, epoch loss=2.449625
Batch=839, step=12840, lr=0.146500, batch loss=0.226836, epoch loss=2.676461
Batch=899, step=12900, lr=0.146250, batch loss=0.193396, epoch loss=2.869857
Batch=959, step=12960, lr=0.146250, batch loss=0.157659, epoch loss=3.027516
Batch=1019, step=13020, lr=0.146000, batch loss=0.265492, epoch loss=3.293008
Batch=1079, step=13080, lr=0.145750, batch loss=0.116867, epoch loss=3.409875
Batch=1139, step=13140, lr=0.145500, batch loss=0.156739, epoch loss=3.566614
Batch=1199, step=13200, lr=0.145250, batch loss=0.119696, epoch loss=3.686310
Epoch=10, step=13200, lr=0.145250, epoch loss=3.686310
Batch=59, step=13260, lr=0.145000, batch loss=0.146419, epoch loss=0.146419
Batch=119, step=13320, lr=0.144750, batch loss=0.126700, epoch loss=0.273119
Batch=179, step=13380, lr=0.144500, batch loss=0.131076, epoch loss=0.404194
Batch=239, step=13440, lr=0.144250, batch loss=0.193844, epoch loss=0.598038
Batch=299, step=13500, lr=0.144000, batch loss=0.120836, epoch loss=0.718874
Batch=359, step=13560, lr=0.143750, batch loss=0.164772, epoch loss=0.883646
Batch=419, step=13620, lr=0.143500, batch loss=0.162861, epoch loss=1.046507
Batch=479, step=13680, lr=0.143250, batch loss=0.147436, epoch loss=1.193943
Batch=539, step=13740, lr=0.143000, batch loss=0.120117, epoch loss=1.314060
Batch=599, step=13800, lr=0.142750, batch loss=0.121810, epoch loss=1.435870
Batch=659, step=13860, lr=0.142500, batch loss=0.177935, epoch loss=1.613805
Batch=719, step=13920, lr=0.142250, batch loss=0.180840, epoch loss=1.794645
Batch=779, step=13980, lr=0.142000, batch loss=0.199615, epoch loss=1.994260
Batch=839, step=14040, lr=0.141750, batch loss=0.189768, epoch loss=2.184027
Batch=899, step=14100, lr=0.141500, batch loss=0.180671, epoch loss=2.364699
Batch=959, step=14160, lr=0.141250, batch loss=0.145574, epoch loss=2.510272
Batch=1019, step=14220, lr=0.141000, batch loss=0.316553, epoch loss=2.826826
Batch=1079, step=14280, lr=0.140750, batch loss=0.073776, epoch loss=2.900602
Batch=1139, step=14340, lr=0.140500, batch loss=0.125665, epoch loss=3.026267
Batch=1199, step=14400, lr=0.140250, batch loss=0.094241, epoch loss=3.120508
Epoch=11, step=14400, lr=0.140250, epoch loss=3.120508
Batch=59, step=14460, lr=0.140000, batch loss=0.125097, epoch loss=0.125097
Batch=119, step=14520, lr=0.139750, batch loss=0.110980, epoch loss=0.236077
Batch=179, step=14580, lr=0.139500, batch loss=0.108672, epoch loss=0.344748
Batch=239, step=14640, lr=0.139250, batch loss=0.141787, epoch loss=0.486535
Batch=299, step=14700, lr=0.139000, batch loss=0.070380, epoch loss=0.556915
Batch=359, step=14760, lr=0.138750, batch loss=0.112619, epoch loss=0.669534
Batch=419, step=14820, lr=0.138500, batch loss=0.119924, epoch loss=0.789457
Batch=479, step=14880, lr=0.138250, batch loss=0.115873, epoch loss=0.905330
Batch=539, step=14940, lr=0.138000, batch loss=0.123647, epoch loss=1.028977
Batch=599, step=15000, lr=0.137750, batch loss=0.087924, epoch loss=1.116901
Batch=659, step=15060, lr=0.137500, batch loss=0.132245, epoch loss=1.249146
Batch=719, step=15120, lr=0.137250, batch loss=0.132809, epoch loss=1.381954
Batch=779, step=15180, lr=0.137000, batch loss=0.157865, epoch loss=1.539819
Batch=839, step=15240, lr=0.136750, batch loss=0.161519, epoch loss=1.701338
Batch=899, step=15300, lr=0.136500, batch loss=0.237765, epoch loss=1.939103
Batch=959, step=15360, lr=0.136250, batch loss=0.061270, epoch loss=2.000373
Batch=1019, step=15420, lr=0.136000, batch loss=0.137305, epoch loss=2.137678
Batch=1079, step=15480, lr=0.135750, batch loss=0.051206, epoch loss=2.188883
Batch=1139, step=15540, lr=0.135500, batch loss=0.111864, epoch loss=2.300747
Batch=1199, step=15600, lr=0.135250, batch loss=0.062505, epoch loss=2.363252
Epoch=12, step=15600, lr=0.135250, epoch loss=2.363252
Batch=59, step=15660, lr=0.135000, batch loss=0.086425, epoch loss=0.086425
Batch=119, step=15720, lr=0.134750, batch loss=0.137688, epoch loss=0.224114
Batch=179, step=15780, lr=0.134500, batch loss=0.100331, epoch loss=0.324445
Batch=239, step=15840, lr=0.134250, batch loss=0.101243, epoch loss=0.425688
Batch=299, step=15900, lr=0.134000, batch loss=0.048288, epoch loss=0.473976
Batch=359, step=15960, lr=0.133750, batch loss=0.089446, epoch loss=0.563422
Batch=419, step=16020, lr=0.133500, batch loss=0.080113, epoch loss=0.643535
Batch=479, step=16080, lr=0.133250, batch loss=0.058847, epoch loss=0.702382
Batch=539, step=16140, lr=0.133000, batch loss=0.074797, epoch loss=0.777179
Batch=599, step=16200, lr=0.132750, batch loss=0.167489, epoch loss=0.944668
Batch=659, step=16260, lr=0.132500, batch loss=0.101680, epoch loss=1.046348
Batch=719, step=16320, lr=0.132250, batch loss=0.128786, epoch loss=1.175134
Batch=779, step=16380, lr=0.132000, batch loss=0.269919, epoch loss=1.445053
Batch=839, step=16440, lr=0.131750, batch loss=0.093424, epoch loss=1.538477
Batch=899, step=16500, lr=0.131500, batch loss=0.076816, epoch loss=1.615292
Batch=959, step=16560, lr=0.131250, batch loss=0.033960, epoch loss=1.649253
Batch=1019, step=16620, lr=0.131000, batch loss=0.073187, epoch loss=1.722440
Batch=1079, step=16680, lr=0.130750, batch loss=0.050701, epoch loss=1.773141
Batch=1139, step=16740, lr=0.130500, batch loss=0.087292, epoch loss=1.860433
Batch=1199, step=16800, lr=0.130250, batch loss=0.040362, epoch loss=1.900795
Epoch=13, step=16800, lr=0.130250, epoch loss=1.900795
Batch=59, step=16860, lr=0.130000, batch loss=0.036772, epoch loss=0.036772
Batch=119, step=16920, lr=0.129750, batch loss=0.038555, epoch loss=0.075328
Batch=179, step=16980, lr=0.129500, batch loss=0.044721, epoch loss=0.120049
Batch=239, step=17040, lr=0.129250, batch loss=0.061934, epoch loss=0.181983
Batch=299, step=17100, lr=0.129000, batch loss=0.026617, epoch loss=0.208600
Batch=359, step=17160, lr=0.128750, batch loss=0.056288, epoch loss=0.264888
Batch=419, step=17220, lr=0.128500, batch loss=0.089559, epoch loss=0.354447
Batch=479, step=17280, lr=0.128250, batch loss=0.026639, epoch loss=0.381085
Batch=539, step=17340, lr=0.128000, batch loss=0.027522, epoch loss=0.408607
Batch=599, step=17400, lr=0.127750, batch loss=0.043693, epoch loss=0.452300
Batch=659, step=17460, lr=0.127500, batch loss=0.058908, epoch loss=0.511209
Batch=719, step=17520, lr=0.127250, batch loss=0.071844, epoch loss=0.583052
Batch=779, step=17580, lr=0.127000, batch loss=0.070287, epoch loss=0.653339
Batch=839, step=17640, lr=0.126750, batch loss=0.104798, epoch loss=0.758137
Batch=899, step=17700, lr=0.126500, batch loss=0.052056, epoch loss=0.810193
Batch=959, step=17760, lr=0.126000, batch loss=0.017371, epoch loss=0.827565
Batch=1019, step=17820, lr=0.126000, batch loss=0.041388, epoch loss=0.868953
Batch=1079, step=17880, lr=0.125750, batch loss=0.047405, epoch loss=0.916358
Batch=1139, step=17940, lr=0.125500, batch loss=0.098142, epoch loss=1.014500
Batch=1199, step=18000, lr=0.125000, batch loss=0.025850, epoch loss=1.040350
Epoch=14, step=18000, lr=0.125000, epoch loss=1.040350
Batch=59, step=18060, lr=0.125000, batch loss=0.020240, epoch loss=0.020240
Batch=119, step=18120, lr=0.124750, batch loss=0.021015, epoch loss=0.041256
Batch=179, step=18180, lr=0.124500, batch loss=0.031333, epoch loss=0.072588
Batch=239, step=18240, lr=0.124250, batch loss=0.047319, epoch loss=0.119907
Batch=299, step=18300, lr=0.124000, batch loss=0.017520, epoch loss=0.137428
Batch=359, step=18360, lr=0.123750, batch loss=0.027247, epoch loss=0.164675
Batch=419, step=18420, lr=0.123250, batch loss=0.030950, epoch loss=0.195624
Batch=479, step=18480, lr=0.123000, batch loss=0.019508, epoch loss=0.215132
Batch=539, step=18540, lr=0.123000, batch loss=0.037067, epoch loss=0.252199
Batch=599, step=18600, lr=0.122750, batch loss=0.027346, epoch loss=0.279545
Batch=659, step=18660, lr=0.122500, batch loss=0.034308, epoch loss=0.313853
Batch=719, step=18720, lr=0.122250, batch loss=0.023511, epoch loss=0.337364
Batch=779, step=18780, lr=0.122000, batch loss=0.038695, epoch loss=0.376058
Batch=839, step=18840, lr=0.121750, batch loss=0.066881, epoch loss=0.442939
Batch=899, step=18900, lr=0.121500, batch loss=0.091024, epoch loss=0.533963
Batch=959, step=18960, lr=0.121000, batch loss=0.015932, epoch loss=0.549895
Batch=1019, step=19020, lr=0.121000, batch loss=0.022409, epoch loss=0.572304
Batch=1079, step=19080, lr=0.120750, batch loss=0.011319, epoch loss=0.583623
Batch=1139, step=19140, lr=0.120500, batch loss=0.023096, epoch loss=0.606719
Batch=1199, step=19200, lr=0.120250, batch loss=0.010262, epoch loss=0.616981
Epoch=15, step=19200, lr=0.120250, epoch loss=0.616981
Batch=59, step=19260, lr=0.120000, batch loss=0.004720, epoch loss=0.004720
Batch=119, step=19320, lr=0.119750, batch loss=0.011264, epoch loss=0.015985
Batch=179, step=19380, lr=0.119500, batch loss=0.020525, epoch loss=0.036509
Batch=239, step=19440, lr=0.119250, batch loss=0.020872, epoch loss=0.057382
Batch=299, step=19500, lr=0.119000, batch loss=0.016818, epoch loss=0.074199
Batch=359, step=19560, lr=0.118750, batch loss=0.033916, epoch loss=0.108115
Batch=419, step=19620, lr=0.118500, batch loss=0.020821, epoch loss=0.128936
Batch=479, step=19680, lr=0.118250, batch loss=0.009735, epoch loss=0.138671
Batch=539, step=19740, lr=0.118000, batch loss=0.018214, epoch loss=0.156885
Batch=599, step=19800, lr=0.117750, batch loss=0.023941, epoch loss=0.180826
Batch=659, step=19860, lr=0.117500, batch loss=0.022579, epoch loss=0.203405
Batch=719, step=19920, lr=0.117250, batch loss=0.048852, epoch loss=0.252257
Batch=779, step=19980, lr=0.117000, batch loss=0.083655, epoch loss=0.335912
Batch=839, step=20040, lr=0.116750, batch loss=0.030251, epoch loss=0.366163
Batch=899, step=20100, lr=0.116500, batch loss=0.033821, epoch loss=0.399984
Batch=959, step=20160, lr=0.116250, batch loss=0.011263, epoch loss=0.411247
Batch=1019, step=20220, lr=0.116000, batch loss=0.014080, epoch loss=0.425327
Batch=1079, step=20280, lr=0.115750, batch loss=0.002910, epoch loss=0.428237
Batch=1139, step=20340, lr=0.115500, batch loss=0.015006, epoch loss=0.443243
Batch=1199, step=20400, lr=0.115250, batch loss=0.006237, epoch loss=0.449480
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449480
Batch=59, step=20460, lr=0.115000, batch loss=0.003216, epoch loss=0.003216
Batch=119, step=20520, lr=0.114750, batch loss=0.009752, epoch loss=0.012968
Batch=179, step=20580, lr=0.114500, batch loss=0.023436, epoch loss=0.036404
Batch=239, step=20640, lr=0.114250, batch loss=0.016021, epoch loss=0.052425
Batch=299, step=20700, lr=0.114000, batch loss=0.004791, epoch loss=0.057216
Batch=359, step=20760, lr=0.113750, batch loss=0.014136, epoch loss=0.071352
Batch=419, step=20820, lr=0.113500, batch loss=0.014413, epoch loss=0.085765
Batch=479, step=20880, lr=0.113250, batch loss=0.004769, epoch loss=0.090534
Batch=539, step=20940, lr=0.113000, batch loss=0.015828, epoch loss=0.106361
Batch=599, step=21000, lr=0.112750, batch loss=0.018621, epoch loss=0.124982
Batch=659, step=21060, lr=0.112500, batch loss=0.015522, epoch loss=0.140504
Batch=719, step=21120, lr=0.112250, batch loss=0.044202, epoch loss=0.184706
Batch=779, step=21180, lr=0.112000, batch loss=0.073681, epoch loss=0.258387
Batch=839, step=21240, lr=0.111750, batch loss=0.026432, epoch loss=0.284819
Batch=899, step=21300, lr=0.111500, batch loss=0.028232, epoch loss=0.313052
Batch=959, step=21360, lr=0.111250, batch loss=0.009974, epoch loss=0.323026
Batch=1019, step=21420, lr=0.111000, batch loss=0.010819, epoch loss=0.333845
Batch=1079, step=21480, lr=0.110500, batch loss=0.001867, epoch loss=0.335712
Batch=1139, step=21540, lr=0.110500, batch loss=0.012611, epoch loss=0.348323
Batch=1199, step=21600, lr=0.110250, batch loss=0.005197, epoch loss=0.353520
Epoch=17, step=21600, lr=0.110250, epoch loss=0.353520
Batch=59, step=21660, lr=0.110000, batch loss=0.002707, epoch loss=0.002707
Batch=119, step=21720, lr=0.109750, batch loss=0.006611, epoch loss=0.009318
Batch=179, step=21780, lr=0.109500, batch loss=0.013204, epoch loss=0.022522
Batch=239, step=21840, lr=0.109250, batch loss=0.009623, epoch loss=0.032145
Batch=299, step=21900, lr=0.109000, batch loss=0.006941, epoch loss=0.039086
Batch=359, step=21960, lr=0.108500, batch loss=0.014806, epoch loss=0.053892
Batch=419, step=22020, lr=0.108500, batch loss=0.013158, epoch loss=0.067050
Batch=479, step=22080, lr=0.108000, batch loss=0.003001, epoch loss=0.070051
Batch=539, step=22140, lr=0.107750, batch loss=0.016786, epoch loss=0.086838
Batch=599, step=22200, lr=0.107500, batch loss=0.015888, epoch loss=0.102726
Batch=659, step=22260, lr=0.107250, batch loss=0.011682, epoch loss=0.114408
Batch=719, step=22320, lr=0.107250, batch loss=0.020150, epoch loss=0.134558
Batch=779, step=22380, lr=0.107000, batch loss=0.028411, epoch loss=0.162969
Batch=839, step=22440, lr=0.106500, batch loss=0.028961, epoch loss=0.191930
Batch=899, step=22500, lr=0.106500, batch loss=0.023967, epoch loss=0.215896
Batch=959, step=22560, lr=0.106250, batch loss=0.009027, epoch loss=0.224924
Batch=1019, step=22620, lr=0.106000, batch loss=0.007507, epoch loss=0.232431
Batch=1079, step=22680, lr=0.105750, batch loss=0.002960, epoch loss=0.235391
Batch=1139, step=22740, lr=0.105500, batch loss=0.011115, epoch loss=0.246506
Batch=1199, step=22800, lr=0.105250, batch loss=0.005010, epoch loss=0.251516
Epoch=18, step=22800, lr=0.105250, epoch loss=0.251516
Batch=59, step=22860, lr=0.105000, batch loss=0.002269, epoch loss=0.002269
Batch=119, step=22920, lr=0.104750, batch loss=0.005410, epoch loss=0.007679
Batch=179, step=22980, lr=0.104500, batch loss=0.012077, epoch loss=0.019756
Batch=239, step=23040, lr=0.104000, batch loss=0.009538, epoch loss=0.029294
Batch=299, step=23100, lr=0.104000, batch loss=0.009932, epoch loss=0.039226
Batch=359, step=23160, lr=0.103750, batch loss=0.013415, epoch loss=0.052641
Batch=419, step=23220, lr=0.103500, batch loss=0.012189, epoch loss=0.064830
Batch=479, step=23280, lr=0.103250, batch loss=0.002488, epoch loss=0.067318
Batch=539, step=23340, lr=0.103000, batch loss=0.016616, epoch loss=0.083934
Batch=599, step=23400, lr=0.102750, batch loss=0.016176, epoch loss=0.100110
Batch=659, step=23460, lr=0.102500, batch loss=0.011837, epoch loss=0.111947
Batch=719, step=23520, lr=0.102250, batch loss=0.012669, epoch loss=0.124616
Batch=779, step=23580, lr=0.102000, batch loss=0.019608, epoch loss=0.144223
Batch=839, step=23640, lr=0.101750, batch loss=0.025331, epoch loss=0.169554
Batch=899, step=23700, lr=0.101500, batch loss=0.022926, epoch loss=0.192480
Batch=959, step=23760, lr=0.101250, batch loss=0.009320, epoch loss=0.201800
Batch=1019, step=23820, lr=0.101000, batch loss=0.008507, epoch loss=0.210307
Batch=1079, step=23880, lr=0.100500, batch loss=0.000952, epoch loss=0.211259
Batch=1139, step=23940, lr=0.100500, batch loss=0.009685, epoch loss=0.220944
Batch=1199, step=24000, lr=0.100250, batch loss=0.004597, epoch loss=0.225540
Epoch=19, step=24000, lr=0.100250, epoch loss=0.225540


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 21:25.17 ---> saved as "83638d2d14b1566e3b9a3f35aaa29c7b4b60c71a2ea4369685cc4615b203a115"
Job succeeded
2025-03-20 21:25.18: Job succeeded