ubuntu-22.04-5.3_opam-2.3

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (linux-x86_64:ubuntu-22.04-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f6ea3750
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18
# ubuntu-22.04-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18-ubuntu-22.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 15:22.29: Using OBuilder spec:
((from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18)
(comment ubuntu-22.04-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:28.57: Got resource from pool OCluster
Building on clete.caelum.ci.dev
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18)
2025-03-21 15:41.52 ---> saved as "5fa3078d03c36c41486be280786245ce69ede71e099f6e9f139dd603c7cf19d4"


/: (comment ubuntu-22.04-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 15:41.52 ---> saved as "9fa2948f62ebf217b649feb63f54e071fb9cc3561596dd542f41ffce6afc87f1"


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=255 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 15:43.35 ---> saved as "6bb8b431014597f12d2db6d70bc54ee86c04939a285e36b59374c9676b94689d"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-21 15:43.35 ---> saved as "d15d3dd480d27c7fd8aa5a3de30d468c1769f04fa3a4f1bedfa6f96e8d0510a7"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:43.36 ---> saved as "a7270fe5f693c720164e7c354c393f9a21e9315d8aed1fab45dcaf4532593257"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:44.47 ---> saved as "b9081b86d112f52a5b2a436010565648eb558bc6347fc2a7975c62c7dc1940c2"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:44.48 ---> saved as "05991b78f27d2a88d91f36b176d3314a08e1ea573f761bf8f93bbd76425fc4f6"


/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 15:44.54 ---> saved as "807bbf37d939dd4092bca7d440ffb160e496426a2a69ad1632c1ddad40e79c0c"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:44.54 ---> saved as "d9a05614942a657f7fe8f6a85aa7ca8b78b82377363475172805f850cadb351d"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Get:1 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]
- Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease
- Get:3 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]
- Get:4 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB]
- Get:5 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1237 kB]
- Get:6 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [3798 kB]
- Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3003 kB]
- Get:8 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2692 kB]
- Get:9 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [57.9 kB]
- Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [3962 kB]
- Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1535 kB]
- Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [65.7 kB]
- Get:13 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [38.5 kB]
- Get:14 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [112 kB]
- Fetched 16.9 MB in 2s (10.8 MB/s)
- Reading package lists...
- 


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[arrayjit.dev] synchronised (file:///src)
[neural_nets_lib.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev pkg-config


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libglib2.0-0:amd64.
- (Reading database ... 
(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 ... 15669 files and directories currently installed.)
- Preparing to unpack .../0-libglib2.0-0_2.72.4-0ubuntu2.4_amd64.deb ...
- Unpacking libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ...
- Selecting previously unselected package libglib2.0-data.
- Preparing to unpack .../1-libglib2.0-data_2.72.4-0ubuntu2.4_all.deb ...
- Unpacking libglib2.0-data (2.72.4-0ubuntu2.4) ...
- Selecting previously unselected package libicu70:amd64.
- Preparing to unpack .../2-libicu70_70.1-2_amd64.deb ...
- Unpacking libicu70:amd64 (70.1-2) ...
- Selecting previously unselected package libxml2:amd64.
- Preparing to unpack .../3-libxml2_2.9.13+dfsg-1ubuntu0.6_amd64.deb ...
- Unpacking libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ...
- Selecting previously unselected package shared-mime-info.
- Preparing to unpack .../4-shared-mime-info_2.1-2_amd64.deb ...
- Unpacking shared-mime-info (2.1-2) ...
- Selecting previously unselected package xdg-user-dirs.
- Preparing to unpack .../5-xdg-user-dirs_0.17-2ubuntu4_amd64.deb ...
- Unpacking xdg-user-dirs (0.17-2ubuntu4) ...
- Selecting previously unselected package pkg-config.
- Preparing to unpack .../6-pkg-config_0.29.2-1ubuntu3_amd64.deb ...
- Unpacking pkg-config (0.29.2-1ubuntu3) ...
- Selecting previously unselected package libffi-dev:amd64.
- Preparing to unpack .../7-libffi-dev_3.4.2-4_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.2-4) ...
- Setting up xdg-user-dirs (0.17-2ubuntu4) ...
- Setting up libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ...
- No schema files found: doing nothing.
- Setting up libffi-dev:amd64 (3.4.2-4) ...
- Setting up libglib2.0-data (2.72.4-0ubuntu2.4) ...
- Setting up pkg-config (0.29.2-1ubuntu3) ...
- Setting up libicu70:amd64 (70.1-2) ...
- Setting up libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ...
- Setting up shared-mime-info (2.1-2) ...
- Processing triggers for libc-bin (2.35-0ubuntu3.9) ...
2025-03-21 15:45.24 ---> saved as "f598d9c22acd5ee595e7581bf673d6063ef40f3458ca2a79e1a3f467b14c9e0b"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (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.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed uucp.16.0.0
-> installed ctypes.0.23.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_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 15:47.54 ---> saved as "464c44eabc9d8b0a682db25e77e1f7f24616ebff7ea9a5548bedd54452f0c48f"


/src: (copy (src .) (dst /src))
2025-03-21 15:47.55 ---> saved as "0857b34ece7d8c5556f01d87b36ee33f2366863641f76984872cc7d12b4b1c99"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/0ba0f97266b1798c53715283693da0e2/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b008b892946b2110b7083076f01d3b27/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/b008b892946b2110b7083076f01d3b27/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827
Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502
Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555
Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648
Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650
Batch=599, step=600, lr=0.197500, batch loss=1.069497, epoch loss=41.605147
Batch=659, step=660, lr=0.197500, batch loss=0.482203, epoch loss=42.087349
Batch=719, step=720, lr=0.197000, batch loss=0.411118, epoch loss=42.498467
Batch=779, step=780, lr=0.196750, batch loss=0.469417, epoch loss=42.967884
Batch=839, step=840, lr=0.196750, batch loss=0.443774, epoch loss=43.411658
Batch=899, step=900, lr=0.196250, batch loss=0.383164, epoch loss=43.794823
Batch=959, step=960, lr=0.196250, batch loss=0.242304, epoch loss=44.037127
Batch=1019, step=1020, lr=0.196000, batch loss=0.457260, epoch loss=44.494386
Batch=1079, step=1080, lr=0.195750, batch loss=0.252181, epoch loss=44.746567
Batch=1139, step=1140, lr=0.195250, batch loss=0.329332, epoch loss=45.075900
Batch=1199, step=1200, lr=0.195000, batch loss=0.264045, epoch loss=45.339945
Epoch=0, step=1200, lr=0.195000, epoch loss=45.339945
Batch=59, step=1260, lr=0.194750, batch loss=0.262782, epoch loss=0.262782
Batch=119, step=1320, lr=0.194750, batch loss=0.204316, epoch loss=0.467098
Batch=179, step=1380, lr=0.194250, batch loss=0.244096, epoch loss=0.711194
Batch=239, step=1440, lr=0.194000, batch loss=0.347410, epoch loss=1.058604
Batch=299, step=1500, lr=0.194000, batch loss=0.238263, epoch loss=1.296867
Batch=359, step=1560, lr=0.193500, batch loss=0.311291, epoch loss=1.608158
Batch=419, step=1620, lr=0.193500, batch loss=0.310128, epoch loss=1.918286
Batch=479, step=1680, lr=0.193250, batch loss=0.275844, epoch loss=2.194131
Batch=539, step=1740, lr=0.193000, batch loss=0.211146, epoch loss=2.405276
Batch=599, step=1800, lr=0.192750, batch loss=0.251046, epoch loss=2.656323
Batch=659, step=1860, lr=0.192250, batch loss=0.369982, epoch loss=3.026305
Batch=719, step=1920, lr=0.192250, batch loss=0.364051, epoch loss=3.390355
Batch=779, step=1980, lr=0.192000, batch loss=0.383920, epoch loss=3.774275
Batch=839, step=2040, lr=0.191500, batch loss=0.350060, epoch loss=4.124335
Batch=899, step=2100, lr=0.191250, batch loss=0.323623, epoch loss=4.447958
Batch=959, step=2160, lr=0.191250, batch loss=0.256918, epoch loss=4.704875
Batch=1019, step=2220, lr=0.190750, batch loss=0.392218, epoch loss=5.097093
Batch=1079, step=2280, lr=0.190500, batch loss=0.217894, epoch loss=5.314987
Batch=1139, step=2340, lr=0.190250, batch loss=0.265242, epoch loss=5.580229
Batch=1199, step=2400, lr=0.190250, batch loss=0.211665, epoch loss=5.791894
Epoch=1, step=2400, lr=0.190250, epoch loss=5.791894
Batch=59, step=2460, lr=0.190000, batch loss=0.229342, epoch loss=0.229342
Batch=119, step=2520, lr=0.189500, batch loss=0.198788, epoch loss=0.428130
Batch=179, step=2580, lr=0.189250, batch loss=0.220418, epoch loss=0.648548
Batch=239, step=2640, lr=0.189250, batch loss=0.329200, epoch loss=0.977748
Batch=299, step=2700, lr=0.188750, batch loss=0.205441, epoch loss=1.183189
Batch=359, step=2760, lr=0.188750, batch loss=0.288262, epoch loss=1.471451
Batch=419, step=2820, lr=0.188500, batch loss=0.281130, epoch loss=1.752582
Batch=479, step=2880, lr=0.188000, batch loss=0.252896, epoch loss=2.005478
Batch=539, step=2940, lr=0.188000, batch loss=0.192546, epoch loss=2.198024
Batch=599, step=3000, lr=0.187750, batch loss=0.227877, epoch loss=2.425901
Batch=659, step=3060, lr=0.187250, batch loss=0.337471, epoch loss=2.763372
Batch=719, step=3120, lr=0.187000, batch loss=0.331951, epoch loss=3.095324
Batch=779, step=3180, lr=0.187000, batch loss=0.352613, epoch loss=3.447937
Batch=839, step=3240, lr=0.186750, batch loss=0.323546, epoch loss=3.771482
Batch=899, step=3300, lr=0.186250, batch loss=0.297066, epoch loss=4.068548
Batch=959, step=3360, lr=0.186000, batch loss=0.235508, epoch loss=4.304055
Batch=1019, step=3420, lr=0.185750, batch loss=0.350538, epoch loss=4.654594
Batch=1079, step=3480, lr=0.185500, batch loss=0.212907, epoch loss=4.867500
Batch=1139, step=3540, lr=0.185250, batch loss=0.265826, epoch loss=5.133327
Batch=1199, step=3600, lr=0.185000, batch loss=0.199618, epoch loss=5.332944
Epoch=2, step=3600, lr=0.185000, epoch loss=5.332944
Batch=59, step=3660, lr=0.184750, batch loss=0.225062, epoch loss=0.225062
Batch=119, step=3720, lr=0.184750, batch loss=0.186720, epoch loss=0.411782
Batch=179, step=3780, lr=0.184500, batch loss=0.212522, epoch loss=0.624304
Batch=239, step=3840, lr=0.184250, batch loss=0.316250, epoch loss=0.940554
Batch=299, step=3900, lr=0.184000, batch loss=0.204261, epoch loss=1.144815
Batch=359, step=3960, lr=0.183500, batch loss=0.288330, epoch loss=1.433145
Batch=419, step=4020, lr=0.183500, batch loss=0.274179, epoch loss=1.707324
Batch=479, step=4080, lr=0.183250, batch loss=0.253654, epoch loss=1.960978
Batch=539, step=4140, lr=0.183000, batch loss=0.194746, epoch loss=2.155725
Batch=599, step=4200, lr=0.182750, batch loss=0.232914, epoch loss=2.388639
Batch=659, step=4260, lr=0.182500, batch loss=0.335355, epoch loss=2.723994
Batch=719, step=4320, lr=0.182250, batch loss=0.340497, epoch loss=3.064490
Batch=779, step=4380, lr=0.182000, batch loss=0.352659, epoch loss=3.417150
Batch=839, step=4440, lr=0.181500, batch loss=0.316782, epoch loss=3.733932
Batch=899, step=4500, lr=0.181500, batch loss=0.286121, epoch loss=4.020053
Batch=959, step=4560, lr=0.181250, batch loss=0.236093, epoch loss=4.256146
Batch=1019, step=4620, lr=0.180750, batch loss=0.330732, epoch loss=4.586878
Batch=1079, step=4680, lr=0.180750, batch loss=0.190754, epoch loss=4.777632
Batch=1139, step=4740, lr=0.180250, batch loss=0.223133, epoch loss=5.000765
Batch=1199, step=4800, lr=0.180250, batch loss=0.193503, epoch loss=5.194267
Epoch=3, step=4800, lr=0.180250, epoch loss=5.194267
Batch=59, step=4860, lr=0.179750, batch loss=0.240108, epoch loss=0.240108
Batch=119, step=4920, lr=0.179750, batch loss=0.197577, epoch loss=0.437685
Batch=179, step=4980, lr=0.179500, batch loss=0.206442, epoch loss=0.644127
Batch=239, step=5040, lr=0.179250, batch loss=0.308139, epoch loss=0.952265
Batch=299, step=5100, lr=0.179000, batch loss=0.208483, epoch loss=1.160748
Batch=359, step=5160, lr=0.178750, batch loss=0.273692, epoch loss=1.434440
Batch=419, step=5220, lr=0.178500, batch loss=0.265918, epoch loss=1.700358
Batch=479, step=5280, lr=0.178250, batch loss=0.240687, epoch loss=1.941044
Batch=539, step=5340, lr=0.178000, batch loss=0.189673, epoch loss=2.130717
Batch=599, step=5400, lr=0.177500, batch loss=0.231462, epoch loss=2.362179
Batch=659, step=5460, lr=0.177500, batch loss=0.324279, epoch loss=2.686458
Batch=719, step=5520, lr=0.177250, batch loss=0.325121, epoch loss=3.011579
Batch=779, step=5580, lr=0.177000, batch loss=0.344241, epoch loss=3.355821
Batch=839, step=5640, lr=0.176500, batch loss=0.308773, epoch loss=3.664593
Batch=899, step=5700, lr=0.176250, batch loss=0.272348, epoch loss=3.936942
Batch=959, step=5760, lr=0.176000, batch loss=0.215309, epoch loss=4.152251
Batch=1019, step=5820, lr=0.176000, batch loss=0.333356, epoch loss=4.485606
Batch=1079, step=5880, lr=0.175750, batch loss=0.179574, epoch loss=4.665180
Batch=1139, step=5940, lr=0.175250, batch loss=0.217680, epoch loss=4.882860
Batch=1199, step=6000, lr=0.175250, batch loss=0.190852, epoch loss=5.073712
Epoch=4, step=6000, lr=0.175250, epoch loss=5.073712
Batch=59, step=6060, lr=0.175000, batch loss=0.232294, epoch loss=0.232294
Batch=119, step=6120, lr=0.174750, batch loss=0.193381, epoch loss=0.425675
Batch=179, step=6180, lr=0.174500, batch loss=0.200209, epoch loss=0.625884
Batch=239, step=6240, lr=0.174250, batch loss=0.302952, epoch loss=0.928837
Batch=299, step=6300, lr=0.174000, batch loss=0.209180, epoch loss=1.138017
Batch=359, step=6360, lr=0.173500, batch loss=0.275694, epoch loss=1.413711
Batch=419, step=6420, lr=0.173500, batch loss=0.266962, epoch loss=1.680673
Batch=479, step=6480, lr=0.173250, batch loss=0.242058, epoch loss=1.922730
Batch=539, step=6540, lr=0.173000, batch loss=0.195857, epoch loss=2.118587
Batch=599, step=6600, lr=0.172750, batch loss=0.233586, epoch loss=2.352173
Batch=659, step=6660, lr=0.172500, batch loss=0.313003, epoch loss=2.665175
Batch=719, step=6720, lr=0.172250, batch loss=0.317427, epoch loss=2.982603
Batch=779, step=6780, lr=0.172000, batch loss=0.328599, epoch loss=3.311202
Batch=839, step=6840, lr=0.171750, batch loss=0.301784, epoch loss=3.612986
Batch=899, step=6900, lr=0.171500, batch loss=0.270125, epoch loss=3.883111
Batch=959, step=6960, lr=0.171250, batch loss=0.206901, epoch loss=4.090012
Batch=1019, step=7020, lr=0.171000, batch loss=0.329300, epoch loss=4.419312
Batch=1079, step=7080, lr=0.170750, batch loss=0.173181, epoch loss=4.592493
Batch=1139, step=7140, lr=0.170500, batch loss=0.212590, epoch loss=4.805083
Batch=1199, step=7200, lr=0.170250, batch loss=0.190945, epoch loss=4.996028
Epoch=5, step=7200, lr=0.170250, epoch loss=4.996028
Batch=59, step=7260, lr=0.170000, batch loss=0.224492, epoch loss=0.224492
Batch=119, step=7320, lr=0.169500, batch loss=0.189832, epoch loss=0.414324
Batch=179, step=7380, lr=0.169500, batch loss=0.194511, epoch loss=0.608835
Batch=239, step=7440, lr=0.169250, batch loss=0.290526, epoch loss=0.899362
Batch=299, step=7500, lr=0.168750, batch loss=0.207606, epoch loss=1.106968
Batch=359, step=7560, lr=0.168750, batch loss=0.261029, epoch loss=1.367997
Batch=419, step=7620, lr=0.168500, batch loss=0.254140, epoch loss=1.622137
Batch=479, step=7680, lr=0.168250, batch loss=0.238472, epoch loss=1.860610
Batch=539, step=7740, lr=0.168000, batch loss=0.185493, epoch loss=2.046102
Batch=599, step=7800, lr=0.167750, batch loss=0.225178, epoch loss=2.271280
Batch=659, step=7860, lr=0.167500, batch loss=0.305605, epoch loss=2.576885
Batch=719, step=7920, lr=0.167250, batch loss=0.306604, epoch loss=2.883489
Batch=779, step=7980, lr=0.167000, batch loss=0.321580, epoch loss=3.205069
Batch=839, step=8040, lr=0.166750, batch loss=0.295656, epoch loss=3.500725
Batch=899, step=8100, lr=0.166500, batch loss=0.260083, epoch loss=3.760808
Batch=959, step=8160, lr=0.166250, batch loss=0.206642, epoch loss=3.967450
Batch=1019, step=8220, lr=0.166000, batch loss=0.317732, epoch loss=4.285182
Batch=1079, step=8280, lr=0.165750, batch loss=0.172532, epoch loss=4.457715
Batch=1139, step=8340, lr=0.165500, batch loss=0.209204, epoch loss=4.666919
Batch=1199, step=8400, lr=0.165250, batch loss=0.178205, epoch loss=4.845124
Epoch=6, step=8400, lr=0.165250, epoch loss=4.845124
Batch=59, step=8460, lr=0.165000, batch loss=0.229531, epoch loss=0.229531
Batch=119, step=8520, lr=0.164750, batch loss=0.173955, epoch loss=0.403487
Batch=179, step=8580, lr=0.164500, batch loss=0.187375, epoch loss=0.590861
Batch=239, step=8640, lr=0.164250, batch loss=0.276490, epoch loss=0.867352
Batch=299, step=8700, lr=0.164000, batch loss=0.190267, epoch loss=1.057619
Batch=359, step=8760, lr=0.163750, batch loss=0.249511, epoch loss=1.307129
Batch=419, step=8820, lr=0.163250, batch loss=0.243636, epoch loss=1.550765
Batch=479, step=8880, lr=0.163250, batch loss=0.226887, epoch loss=1.777653
Batch=539, step=8940, lr=0.163000, batch loss=0.179108, epoch loss=1.956760
Batch=599, step=9000, lr=0.162750, batch loss=0.216259, epoch loss=2.173019
Batch=659, step=9060, lr=0.162500, batch loss=0.293949, epoch loss=2.466968
Batch=719, step=9120, lr=0.162250, batch loss=0.296843, epoch loss=2.763811
Batch=779, step=9180, lr=0.162000, batch loss=0.314099, epoch loss=3.077910
Batch=839, step=9240, lr=0.161750, batch loss=0.281635, epoch loss=3.359545
Batch=899, step=9300, lr=0.161500, batch loss=0.252925, epoch loss=3.612470
Batch=959, step=9360, lr=0.161250, batch loss=0.198009, epoch loss=3.810479
Batch=1019, step=9420, lr=0.161000, batch loss=0.309043, epoch loss=4.119522
Batch=1079, step=9480, lr=0.160750, batch loss=0.195297, epoch loss=4.314819
Batch=1139, step=9540, lr=0.160500, batch loss=0.207718, epoch loss=4.522537
Batch=1199, step=9600, lr=0.160250, batch loss=0.166336, epoch loss=4.688873
Epoch=7, step=9600, lr=0.160250, epoch loss=4.688873
Batch=59, step=9660, lr=0.160000, batch loss=0.195387, epoch loss=0.195387
Batch=119, step=9720, lr=0.159750, batch loss=0.166625, epoch loss=0.362012
Batch=179, step=9780, lr=0.159500, batch loss=0.179030, epoch loss=0.541043
Batch=239, step=9840, lr=0.159250, batch loss=0.262954, epoch loss=0.803997
Batch=299, step=9900, lr=0.159000, batch loss=0.183471, epoch loss=0.987467
Batch=359, step=9960, lr=0.158750, batch loss=0.240599, epoch loss=1.228066
Batch=419, step=10020, lr=0.158500, batch loss=0.232803, epoch loss=1.460869
Batch=479, step=10080, lr=0.158250, batch loss=0.213599, epoch loss=1.674468
Batch=539, step=10140, lr=0.158000, batch loss=0.171271, epoch loss=1.845739
Batch=599, step=10200, lr=0.157750, batch loss=0.201323, epoch loss=2.047061
Batch=659, step=10260, lr=0.157500, batch loss=0.282472, epoch loss=2.329533
Batch=719, step=10320, lr=0.157250, batch loss=0.288293, epoch loss=2.617826
Batch=779, step=10380, lr=0.157000, batch loss=0.295147, epoch loss=2.912973
Batch=839, step=10440, lr=0.156750, batch loss=0.267554, epoch loss=3.180528
Batch=899, step=10500, lr=0.156500, batch loss=0.242654, epoch loss=3.423182
Batch=959, step=10560, lr=0.156000, batch loss=0.197263, epoch loss=3.620445
Batch=1019, step=10620, lr=0.156000, batch loss=0.281725, epoch loss=3.902170
Batch=1079, step=10680, lr=0.155750, batch loss=0.161966, epoch loss=4.064136
Batch=1139, step=10740, lr=0.155250, batch loss=0.187026, epoch loss=4.251162
Batch=1199, step=10800, lr=0.155250, batch loss=0.154954, epoch loss=4.406116
Epoch=8, step=10800, lr=0.155250, epoch loss=4.406116
Batch=59, step=10860, lr=0.154750, batch loss=0.187775, epoch loss=0.187775
Batch=119, step=10920, lr=0.154500, batch loss=0.158422, epoch loss=0.346196
Batch=179, step=10980, lr=0.154500, batch loss=0.167234, epoch loss=0.513431
Batch=239, step=11040, lr=0.154000, batch loss=0.245367, epoch loss=0.758797
Batch=299, step=11100, lr=0.153750, batch loss=0.163704, epoch loss=0.922501
Batch=359, step=11160, lr=0.153750, batch loss=0.226147, epoch loss=1.148649
Batch=419, step=11220, lr=0.153500, batch loss=0.225682, epoch loss=1.374330
Batch=479, step=11280, lr=0.153250, batch loss=0.206009, epoch loss=1.580339
Batch=539, step=11340, lr=0.153000, batch loss=0.156985, epoch loss=1.737324
Batch=599, step=11400, lr=0.152750, batch loss=0.182636, epoch loss=1.919960
Batch=659, step=11460, lr=0.152500, batch loss=0.261803, epoch loss=2.181763
Batch=719, step=11520, lr=0.152250, batch loss=0.258957, epoch loss=2.440720
Batch=779, step=11580, lr=0.152000, batch loss=0.269665, epoch loss=2.710384
Batch=839, step=11640, lr=0.151750, batch loss=0.251088, epoch loss=2.961473
Batch=899, step=11700, lr=0.151500, batch loss=0.216971, epoch loss=3.178443
Batch=959, step=11760, lr=0.151250, batch loss=0.162491, epoch loss=3.340935
Batch=1019, step=11820, lr=0.151000, batch loss=0.261206, epoch loss=3.602141
Batch=1079, step=11880, lr=0.150750, batch loss=0.144761, epoch loss=3.746902
Batch=1139, step=11940, lr=0.150500, batch loss=0.181241, epoch loss=3.928143
Batch=1199, step=12000, lr=0.150250, batch loss=0.139858, epoch loss=4.068001
Epoch=9, step=12000, lr=0.150250, epoch loss=4.068001
Batch=59, step=12060, lr=0.149750, batch loss=0.161499, epoch loss=0.161499
Batch=119, step=12120, lr=0.149500, batch loss=0.137313, epoch loss=0.298812
Batch=179, step=12180, lr=0.149500, batch loss=0.150790, epoch loss=0.449602
Batch=239, step=12240, lr=0.149250, batch loss=0.219554, epoch loss=0.669156
Batch=299, step=12300, lr=0.149000, batch loss=0.141428, epoch loss=0.810584
Batch=359, step=12360, lr=0.148750, batch loss=0.199513, epoch loss=1.010097
Batch=419, step=12420, lr=0.148250, batch loss=0.208101, epoch loss=1.218198
Batch=479, step=12480, lr=0.148250, batch loss=0.178148, epoch loss=1.396346
Batch=539, step=12540, lr=0.147750, batch loss=0.143803, epoch loss=1.540149
Batch=599, step=12600, lr=0.147750, batch loss=0.148876, epoch loss=1.689025
Batch=659, step=12660, lr=0.147250, batch loss=0.227938, epoch loss=1.916963
Batch=719, step=12720, lr=0.147250, batch loss=0.234310, epoch loss=2.151273
Batch=779, step=12780, lr=0.147000, batch loss=0.266758, epoch loss=2.418031
Batch=839, step=12840, lr=0.146750, batch loss=0.236702, epoch loss=2.654733
Batch=899, step=12900, lr=0.146500, batch loss=0.223850, epoch loss=2.878584
Batch=959, step=12960, lr=0.146250, batch loss=0.144046, epoch loss=3.022629
Batch=1019, step=13020, lr=0.146000, batch loss=0.218841, epoch loss=3.241470
Batch=1079, step=13080, lr=0.145750, batch loss=0.111186, epoch loss=3.352657
Batch=1139, step=13140, lr=0.145500, batch loss=0.148222, epoch loss=3.500878
Batch=1199, step=13200, lr=0.145250, batch loss=0.116593, epoch loss=3.617471
Epoch=10, step=13200, lr=0.145250, epoch loss=3.617471
Batch=59, step=13260, lr=0.144750, batch loss=0.134921, epoch loss=0.134921
Batch=119, step=13320, lr=0.144750, batch loss=0.111681, epoch loss=0.246602
Batch=179, step=13380, lr=0.144500, batch loss=0.127058, epoch loss=0.373660
Batch=239, step=13440, lr=0.144250, batch loss=0.185850, epoch loss=0.559510
Batch=299, step=13500, lr=0.144000, batch loss=0.117815, epoch loss=0.677325
Batch=359, step=13560, lr=0.143750, batch loss=0.164532, epoch loss=0.841857
Batch=419, step=13620, lr=0.143500, batch loss=0.183811, epoch loss=1.025668
Batch=479, step=13680, lr=0.143250, batch loss=0.137917, epoch loss=1.163585
Batch=539, step=13740, lr=0.143000, batch loss=0.119081, epoch loss=1.282667
Batch=599, step=13800, lr=0.142500, batch loss=0.120690, epoch loss=1.403357
Batch=659, step=13860, lr=0.142500, batch loss=0.177075, epoch loss=1.580432
Batch=719, step=13920, lr=0.142250, batch loss=0.175599, epoch loss=1.756031
Batch=779, step=13980, lr=0.142000, batch loss=0.200005, epoch loss=1.956036
Batch=839, step=14040, lr=0.141750, batch loss=0.201882, epoch loss=2.157918
Batch=899, step=14100, lr=0.141500, batch loss=0.221328, epoch loss=2.379246
Batch=959, step=14160, lr=0.141250, batch loss=0.100587, epoch loss=2.479833
Batch=1019, step=14220, lr=0.141000, batch loss=0.200768, epoch loss=2.680601
Batch=1079, step=14280, lr=0.140750, batch loss=0.078015, epoch loss=2.758616
Batch=1139, step=14340, lr=0.140500, batch loss=0.122668, epoch loss=2.881284
Batch=1199, step=14400, lr=0.140250, batch loss=0.086277, epoch loss=2.967561
Epoch=11, step=14400, lr=0.140250, epoch loss=2.967561
Batch=59, step=14460, lr=0.140000, batch loss=0.108766, epoch loss=0.108766
Batch=119, step=14520, lr=0.139750, batch loss=0.104974, epoch loss=0.213741
Batch=179, step=14580, lr=0.139500, batch loss=0.100575, epoch loss=0.314315
Batch=239, step=14640, lr=0.139250, batch loss=0.143650, epoch loss=0.457966
Batch=299, step=14700, lr=0.138750, batch loss=0.075676, epoch loss=0.533642
Batch=359, step=14760, lr=0.138500, batch loss=0.122449, epoch loss=0.656091
Batch=419, step=14820, lr=0.138500, batch loss=0.128512, epoch loss=0.784603
Batch=479, step=14880, lr=0.138250, batch loss=0.106836, epoch loss=0.891438
Batch=539, step=14940, lr=0.138000, batch loss=0.107298, epoch loss=0.998736
Batch=599, step=15000, lr=0.137500, batch loss=0.083958, epoch loss=1.082695
Batch=659, step=15060, lr=0.137500, batch loss=0.127457, epoch loss=1.210152
Batch=719, step=15120, lr=0.137250, batch loss=0.122792, epoch loss=1.332944
Batch=779, step=15180, lr=0.137000, batch loss=0.124787, epoch loss=1.457731
Batch=839, step=15240, lr=0.136750, batch loss=0.153483, epoch loss=1.611214
Batch=899, step=15300, lr=0.136250, batch loss=0.285847, epoch loss=1.897061
Batch=959, step=15360, lr=0.136250, batch loss=0.062700, epoch loss=1.959761
Batch=1019, step=15420, lr=0.136000, batch loss=0.143383, epoch loss=2.103144
Batch=1079, step=15480, lr=0.135750, batch loss=0.043368, epoch loss=2.146512
Batch=1139, step=15540, lr=0.135500, batch loss=0.101998, epoch loss=2.248510
Batch=1199, step=15600, lr=0.135250, batch loss=0.060006, epoch loss=2.308517
Epoch=12, step=15600, lr=0.135250, epoch loss=2.308517
Batch=59, step=15660, lr=0.135000, batch loss=0.086670, epoch loss=0.086670
Batch=119, step=15720, lr=0.134750, batch loss=0.147567, epoch loss=0.234237
Batch=179, step=15780, lr=0.134500, batch loss=0.104207, epoch loss=0.338443
Batch=239, step=15840, lr=0.134250, batch loss=0.099478, epoch loss=0.437922
Batch=299, step=15900, lr=0.134000, batch loss=0.043994, epoch loss=0.481916
Batch=359, step=15960, lr=0.133750, batch loss=0.081764, epoch loss=0.563680
Batch=419, step=16020, lr=0.133250, batch loss=0.078011, epoch loss=0.641691
Batch=479, step=16080, lr=0.133000, batch loss=0.054601, epoch loss=0.696293
Batch=539, step=16140, lr=0.132750, batch loss=0.076430, epoch loss=0.772722
Batch=599, step=16200, lr=0.132500, batch loss=0.175836, epoch loss=0.948558
Batch=659, step=16260, lr=0.132250, batch loss=0.096949, epoch loss=1.045508
Batch=719, step=16320, lr=0.132250, batch loss=0.128845, epoch loss=1.174353
Batch=779, step=16380, lr=0.132000, batch loss=0.273721, epoch loss=1.448074
Batch=839, step=16440, lr=0.131750, batch loss=0.090772, epoch loss=1.538846
Batch=899, step=16500, lr=0.131500, batch loss=0.078465, epoch loss=1.617311
Batch=959, step=16560, lr=0.131000, batch loss=0.030922, epoch loss=1.648233
Batch=1019, step=16620, lr=0.131000, batch loss=0.061668, epoch loss=1.709901
Batch=1079, step=16680, lr=0.130750, batch loss=0.060403, epoch loss=1.770305
Batch=1139, step=16740, lr=0.130500, batch loss=0.105061, epoch loss=1.875366
Batch=1199, step=16800, lr=0.130250, batch loss=0.049037, epoch loss=1.924403
Epoch=13, step=16800, lr=0.130250, epoch loss=1.924403
Batch=59, step=16860, lr=0.130000, batch loss=0.037199, epoch loss=0.037199
Batch=119, step=16920, lr=0.129750, batch loss=0.034533, epoch loss=0.071732
Batch=179, step=16980, lr=0.129500, batch loss=0.044283, epoch loss=0.116014
Batch=239, step=17040, lr=0.129250, batch loss=0.060258, epoch loss=0.176273
Batch=299, step=17100, lr=0.129000, batch loss=0.018802, epoch loss=0.195075
Batch=359, step=17160, lr=0.128750, batch loss=0.045480, epoch loss=0.240555
Batch=419, step=17220, lr=0.128500, batch loss=0.044963, epoch loss=0.285518
Batch=479, step=17280, lr=0.128250, batch loss=0.021436, epoch loss=0.306954
Batch=539, step=17340, lr=0.128000, batch loss=0.038656, epoch loss=0.345610
Batch=599, step=17400, lr=0.127750, batch loss=0.076390, epoch loss=0.422001
Batch=659, step=17460, lr=0.127500, batch loss=0.046356, epoch loss=0.468357
Batch=719, step=17520, lr=0.127250, batch loss=0.071149, epoch loss=0.539506
Batch=779, step=17580, lr=0.127000, batch loss=0.115973, epoch loss=0.655479
Batch=839, step=17640, lr=0.126750, batch loss=0.095055, epoch loss=0.750534
Batch=899, step=17700, lr=0.126500, batch loss=0.119435, epoch loss=0.869969
Batch=959, step=17760, lr=0.126250, batch loss=0.022173, epoch loss=0.892142
Batch=1019, step=17820, lr=0.126000, batch loss=0.042661, epoch loss=0.934803
Batch=1079, step=17880, lr=0.125750, batch loss=0.013296, epoch loss=0.948099
Batch=1139, step=17940, lr=0.125500, batch loss=0.038504, epoch loss=0.986603
Batch=1199, step=18000, lr=0.125250, batch loss=0.015827, epoch loss=1.002430
Epoch=14, step=18000, lr=0.125250, epoch loss=1.002430
Batch=59, step=18060, lr=0.125000, batch loss=0.013604, epoch loss=0.013604
Batch=119, step=18120, lr=0.124750, batch loss=0.029012, epoch loss=0.042616
Batch=179, step=18180, lr=0.124500, batch loss=0.071923, epoch loss=0.114538
Batch=239, step=18240, lr=0.124250, batch loss=0.037985, epoch loss=0.152523
Batch=299, step=18300, lr=0.124000, batch loss=0.017627, epoch loss=0.170150
Batch=359, step=18360, lr=0.123750, batch loss=0.044193, epoch loss=0.214343
Batch=419, step=18420, lr=0.123500, batch loss=0.032313, epoch loss=0.246657
Batch=479, step=18480, lr=0.123250, batch loss=0.019692, epoch loss=0.266349
Batch=539, step=18540, lr=0.123000, batch loss=0.025943, epoch loss=0.292291
Batch=599, step=18600, lr=0.122750, batch loss=0.025769, epoch loss=0.318060
Batch=659, step=18660, lr=0.122500, batch loss=0.031629, epoch loss=0.349689
Batch=719, step=18720, lr=0.122000, batch loss=0.047539, epoch loss=0.397228
Batch=779, step=18780, lr=0.122000, batch loss=0.097446, epoch loss=0.494674
Batch=839, step=18840, lr=0.121750, batch loss=0.057654, epoch loss=0.552328
Batch=899, step=18900, lr=0.121250, batch loss=0.057435, epoch loss=0.609763
Batch=959, step=18960, lr=0.121250, batch loss=0.014007, epoch loss=0.623770
Batch=1019, step=19020, lr=0.121000, batch loss=0.018557, epoch loss=0.642327
Batch=1079, step=19080, lr=0.120750, batch loss=0.009316, epoch loss=0.651643
Batch=1139, step=19140, lr=0.120250, batch loss=0.024124, epoch loss=0.675767
Batch=1199, step=19200, lr=0.120250, batch loss=0.009689, epoch loss=0.685456
Epoch=15, step=19200, lr=0.120250, epoch loss=0.685456
Batch=59, step=19260, lr=0.120000, batch loss=0.004828, epoch loss=0.004828
Batch=119, step=19320, lr=0.119750, batch loss=0.021490, epoch loss=0.026318
Batch=179, step=19380, lr=0.119500, batch loss=0.057224, epoch loss=0.083542
Batch=239, step=19440, lr=0.119250, batch loss=0.024556, epoch loss=0.108098
Batch=299, step=19500, lr=0.119000, batch loss=0.014266, epoch loss=0.122363
Batch=359, step=19560, lr=0.118750, batch loss=0.028169, epoch loss=0.150532
Batch=419, step=19620, lr=0.118500, batch loss=0.020320, epoch loss=0.170852
Batch=479, step=19680, lr=0.118250, batch loss=0.007119, epoch loss=0.177971
Batch=539, step=19740, lr=0.118000, batch loss=0.018327, epoch loss=0.196298
Batch=599, step=19800, lr=0.117750, batch loss=0.022148, epoch loss=0.218446
Batch=659, step=19860, lr=0.117500, batch loss=0.019529, epoch loss=0.237975
Batch=719, step=19920, lr=0.117250, batch loss=0.038860, epoch loss=0.276836
Batch=779, step=19980, lr=0.117000, batch loss=0.081322, epoch loss=0.358158
Batch=839, step=20040, lr=0.116750, batch loss=0.033691, epoch loss=0.391849
Batch=899, step=20100, lr=0.116500, batch loss=0.030655, epoch loss=0.422503
Batch=959, step=20160, lr=0.116250, batch loss=0.017946, epoch loss=0.440449
Batch=1019, step=20220, lr=0.116000, batch loss=0.025362, epoch loss=0.465812
Batch=1079, step=20280, lr=0.115750, batch loss=0.004215, epoch loss=0.470026
Batch=1139, step=20340, lr=0.115500, batch loss=0.014985, epoch loss=0.485012
Batch=1199, step=20400, lr=0.115250, batch loss=0.006251, epoch loss=0.491262
Epoch=16, step=20400, lr=0.115250, epoch loss=0.491262
Batch=59, step=20460, lr=0.115000, batch loss=0.003178, epoch loss=0.003178
Batch=119, step=20520, lr=0.114750, batch loss=0.009601, epoch loss=0.012778
Batch=179, step=20580, lr=0.114500, batch loss=0.026299, epoch loss=0.039078
Batch=239, step=20640, lr=0.114250, batch loss=0.014495, epoch loss=0.053572
Batch=299, step=20700, lr=0.114000, batch loss=0.009100, epoch loss=0.062673
Batch=359, step=20760, lr=0.113750, batch loss=0.019474, epoch loss=0.082146
Batch=419, step=20820, lr=0.113500, batch loss=0.015738, epoch loss=0.097884
Batch=479, step=20880, lr=0.113250, batch loss=0.003680, epoch loss=0.101564
Batch=539, step=20940, lr=0.113000, batch loss=0.022822, epoch loss=0.124386
Batch=599, step=21000, lr=0.112750, batch loss=0.024552, epoch loss=0.148938
Batch=659, step=21060, lr=0.112500, batch loss=0.013701, epoch loss=0.162639
Batch=719, step=21120, lr=0.112250, batch loss=0.024994, epoch loss=0.187634
Batch=779, step=21180, lr=0.112000, batch loss=0.047000, epoch loss=0.234634
Batch=839, step=21240, lr=0.111750, batch loss=0.027330, epoch loss=0.261964
Batch=899, step=21300, lr=0.111500, batch loss=0.030185, epoch loss=0.292149
Batch=959, step=21360, lr=0.111250, batch loss=0.012446, epoch loss=0.304595
Batch=1019, step=21420, lr=0.111000, batch loss=0.011704, epoch loss=0.316299
Batch=1079, step=21480, lr=0.110750, batch loss=0.001707, epoch loss=0.318006
Batch=1139, step=21540, lr=0.110500, batch loss=0.013018, epoch loss=0.331024
Batch=1199, step=21600, lr=0.110250, batch loss=0.005263, epoch loss=0.336287
Epoch=17, step=21600, lr=0.110250, epoch loss=0.336287
Batch=59, step=21660, lr=0.110000, batch loss=0.002551, epoch loss=0.002551
Batch=119, step=21720, lr=0.109750, batch loss=0.007067, epoch loss=0.009618
Batch=179, step=21780, lr=0.109500, batch loss=0.012544, epoch loss=0.022163
Batch=239, step=21840, lr=0.109250, batch loss=0.010275, epoch loss=0.032437
Batch=299, step=21900, lr=0.109000, batch loss=0.013446, epoch loss=0.045883
Batch=359, step=21960, lr=0.108750, batch loss=0.014361, epoch loss=0.060244
Batch=419, step=22020, lr=0.108500, batch loss=0.013403, epoch loss=0.073647
Batch=479, step=22080, lr=0.108250, batch loss=0.003127, epoch loss=0.076774
Batch=539, step=22140, lr=0.108000, batch loss=0.016581, epoch loss=0.093355
Batch=599, step=22200, lr=0.107750, batch loss=0.016142, epoch loss=0.109497
Batch=659, step=22260, lr=0.107500, batch loss=0.011776, epoch loss=0.121274
Batch=719, step=22320, lr=0.107250, batch loss=0.017433, epoch loss=0.138707
Batch=779, step=22380, lr=0.107000, batch loss=0.024754, epoch loss=0.163461
Batch=839, step=22440, lr=0.106750, batch loss=0.027507, epoch loss=0.190968
Batch=899, step=22500, lr=0.106500, batch loss=0.025046, epoch loss=0.216014
Batch=959, step=22560, lr=0.106250, batch loss=0.009381, epoch loss=0.225395
Batch=1019, step=22620, lr=0.106000, batch loss=0.010215, epoch loss=0.235611
Batch=1079, step=22680, lr=0.105750, batch loss=0.001768, epoch loss=0.237379
Batch=1139, step=22740, lr=0.105250, batch loss=0.011085, epoch loss=0.248464
Batch=1199, step=22800, lr=0.105250, batch loss=0.005190, epoch loss=0.253653
Epoch=18, step=22800, lr=0.105250, epoch loss=0.253653
Batch=59, step=22860, lr=0.105000, batch loss=0.002782, epoch loss=0.002782
Batch=119, step=22920, lr=0.104750, batch loss=0.005080, epoch loss=0.007862
Batch=179, step=22980, lr=0.104500, batch loss=0.013435, epoch loss=0.021297
Batch=239, step=23040, lr=0.104250, batch loss=0.008858, epoch loss=0.030155
Batch=299, step=23100, lr=0.104000, batch loss=0.001501, epoch loss=0.031655
Batch=359, step=23160, lr=0.103750, batch loss=0.011869, epoch loss=0.043524
Batch=419, step=23220, lr=0.103250, batch loss=0.009977, epoch loss=0.053501
Batch=479, step=23280, lr=0.103250, batch loss=0.002119, epoch loss=0.055619
Batch=539, step=23340, lr=0.103000, batch loss=0.017094, epoch loss=0.072713
Batch=599, step=23400, lr=0.102750, batch loss=0.013691, epoch loss=0.086404
Batch=659, step=23460, lr=0.102250, batch loss=0.011261, epoch loss=0.097664
Batch=719, step=23520, lr=0.102250, batch loss=0.011966, epoch loss=0.109631
Batch=779, step=23580, lr=0.102000, batch loss=0.024502, epoch loss=0.134132
Batch=839, step=23640, lr=0.101750, batch loss=0.024638, epoch loss=0.158770
Batch=899, step=23700, lr=0.101500, batch loss=0.023355, epoch loss=0.182125
Batch=959, step=23760, lr=0.101000, batch loss=0.008082, epoch loss=0.190207
Batch=1019, step=23820, lr=0.101000, batch loss=0.007833, epoch loss=0.198040
Batch=1079, step=23880, lr=0.100750, batch loss=0.000727, epoch loss=0.198767
Batch=1139, step=23940, lr=0.100500, batch loss=0.008801, epoch loss=0.207567
Batch=1199, step=24000, lr=0.100250, batch loss=0.004284, epoch loss=0.211852
Epoch=19, step=24000, lr=0.100250, epoch loss=0.211852


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##*************....*****************#*######*#*******************************........│
│*******##*##**##**********...........***************########*##***************************..........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######**********..........%.........**************##*#####***********************.......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│
│****#######**********..........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│
│*#######************...........%%%%%%%..........************#######**************............%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│
│*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│
│#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######*********.................%%%%%%%%................****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│
│#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│*************........................%..%%%%%%%.................***...............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:49.23 ---> saved as "eee56aacda40585c4da0c545bea453d690682d7b538cfc96253799794dad674c"
Job succeeded
2025-03-21 15:49.23: Job succeeded