ubuntu-22.04-5.3_opam-2.3

2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (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 8b6a6fac
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 14:48.49: 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 14:48.49: 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 14:48.49: Waiting for resource in pool OCluster
2025-03-21 14:48.50: Waiting for worker…
2025-03-21 14:49.11: Got resource from pool OCluster
Building on clete.caelum.ci.dev
HEAD is now at d63fdf0d Expose and test the new unary ops
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests


(from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18)
2025-03-21 14:49.38 ---> 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 14:49.38 ---> 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 14:50.53 ---> 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 14:50.53 ---> saved as "d15d3dd480d27c7fd8aa5a3de30d468c1769f04fa3a4f1bedfa6f96e8d0510a7"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 14:50.53 ---> 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 14:51.56 ---> saved as "b9081b86d112f52a5b2a436010565648eb558bc6347fc2a7975c62c7dc1940c2"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 14:51.56 ---> 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 14:52.02 ---> saved as "807bbf37d939dd4092bca7d440ffb160e496426a2a69ad1632c1ddad40e79c0c"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 14:52.02 ---> 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"
- Hit:1 http://archive.ubuntu.com/ubuntu jammy InRelease
- Get:2 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]
- Get:3 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB]
- Get:4 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]
- Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [3962 kB]
- Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [65.7 kB]
- Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1535 kB]
- Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3003 kB]
- Get:9 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [57.9 kB]
- Get:10 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [112 kB]
- Get:11 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [38.5 kB]
- Get:12 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2692 kB]
- Get:13 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1237 kB]
- Get:14 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [3798 kB]
- Fetched 16.9 MB in 2s (7527 kB/s)
- Reading package lists...
- 


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


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


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


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libglib2.0-0:amd64.
- (Reading database ... 
(Reading database ... 5%
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(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 14:52.31 ---> 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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> 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 angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed 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.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_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 14:54.36 ---> saved as "464c44eabc9d8b0a682db25e77e1f7f24616ebff7ea9a5548bedd54452f0c48f"


/src: (copy (src .) (dst /src))
2025-03-21 14:54.38 ---> saved as "499ef259df7cc0f481bb6d9445d97f7c9294f1c156ec695c30e9ba37f9469342"


/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/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/92a7cd68489a6201255458c350115985/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bdf4094a13797128fda17599736de0da/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/bdf4094a13797128fda17599736de0da/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196000, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466345, epoch loss=44.501888
Batch=1079, step=1080, lr=0.195750, batch loss=0.248956, epoch loss=44.750843
Batch=1139, step=1140, lr=0.195500, batch loss=0.317320, epoch loss=45.068163
Batch=1199, step=1200, lr=0.195250, batch loss=0.263732, epoch loss=45.331896
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331896
Batch=59, step=1260, lr=0.195000, batch loss=0.262180, epoch loss=0.262180
Batch=119, step=1320, lr=0.194750, batch loss=0.205202, epoch loss=0.467382
Batch=179, step=1380, lr=0.194500, batch loss=0.243645, epoch loss=0.711027
Batch=239, step=1440, lr=0.194250, batch loss=0.347938, epoch loss=1.058965
Batch=299, step=1500, lr=0.194000, batch loss=0.247288, epoch loss=1.306254
Batch=359, step=1560, lr=0.193750, batch loss=0.316640, epoch loss=1.622893
Batch=419, step=1620, lr=0.193250, batch loss=0.312661, epoch loss=1.935555
Batch=479, step=1680, lr=0.193250, batch loss=0.276298, epoch loss=2.211853
Batch=539, step=1740, lr=0.193000, batch loss=0.209804, epoch loss=2.421657
Batch=599, step=1800, lr=0.192500, batch loss=0.250460, epoch loss=2.672116
Batch=659, step=1860, lr=0.192250, batch loss=0.367083, epoch loss=3.039200
Batch=719, step=1920, lr=0.192250, batch loss=0.354983, epoch loss=3.394182
Batch=779, step=1980, lr=0.192000, batch loss=0.381322, epoch loss=3.775504
Batch=839, step=2040, lr=0.191750, batch loss=0.339649, epoch loss=4.115154
Batch=899, step=2100, lr=0.191500, batch loss=0.295230, epoch loss=4.410383
Batch=959, step=2160, lr=0.191250, batch loss=0.214072, epoch loss=4.624456
Batch=1019, step=2220, lr=0.191000, batch loss=0.330848, epoch loss=4.955304
Batch=1079, step=2280, lr=0.190750, batch loss=0.208417, epoch loss=5.163722
Batch=1139, step=2340, lr=0.190500, batch loss=0.278222, epoch loss=5.441943
Batch=1199, step=2400, lr=0.190250, batch loss=0.220863, epoch loss=5.662806
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662806
Batch=59, step=2460, lr=0.190000, batch loss=0.230432, epoch loss=0.230432
Batch=119, step=2520, lr=0.189500, batch loss=0.195893, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221171, epoch loss=0.647496
Batch=239, step=2640, lr=0.189250, batch loss=0.328093, epoch loss=0.975589
Batch=299, step=2700, lr=0.189000, batch loss=0.202935, epoch loss=1.178524
Batch=359, step=2760, lr=0.188750, batch loss=0.288275, epoch loss=1.466799
Batch=419, step=2820, lr=0.188500, batch loss=0.280176, epoch loss=1.746976
Batch=479, step=2880, lr=0.188250, batch loss=0.251465, epoch loss=1.998441
Batch=539, step=2940, lr=0.188000, batch loss=0.191283, epoch loss=2.189724
Batch=599, step=3000, lr=0.187750, batch loss=0.224971, epoch loss=2.414695
Batch=659, step=3060, lr=0.187500, batch loss=0.335771, epoch loss=2.750466
Batch=719, step=3120, lr=0.187250, batch loss=0.331402, epoch loss=3.081868
Batch=779, step=3180, lr=0.187000, batch loss=0.357917, epoch loss=3.439785
Batch=839, step=3240, lr=0.186750, batch loss=0.325609, epoch loss=3.765394
Batch=899, step=3300, lr=0.186500, batch loss=0.292362, epoch loss=4.057756
Batch=959, step=3360, lr=0.186250, batch loss=0.244943, epoch loss=4.302699
Batch=1019, step=3420, lr=0.186000, batch loss=0.361915, epoch loss=4.664614
Batch=1079, step=3480, lr=0.185750, batch loss=0.222033, epoch loss=4.886647
Batch=1139, step=3540, lr=0.185500, batch loss=0.264050, epoch loss=5.150697
Batch=1199, step=3600, lr=0.185250, batch loss=0.199949, epoch loss=5.350647
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350647
Batch=59, step=3660, lr=0.185000, batch loss=0.221214, epoch loss=0.221214
Batch=119, step=3720, lr=0.184750, batch loss=0.184965, epoch loss=0.406179
Batch=179, step=3780, lr=0.184250, batch loss=0.211395, epoch loss=0.617574
Batch=239, step=3840, lr=0.184250, batch loss=0.316949, epoch loss=0.934523
Batch=299, step=3900, lr=0.184000, batch loss=0.209228, epoch loss=1.143751
Batch=359, step=3960, lr=0.183750, batch loss=0.285628, epoch loss=1.429379
Batch=419, step=4020, lr=0.183500, batch loss=0.278262, epoch loss=1.707641
Batch=479, step=4080, lr=0.183250, batch loss=0.254965, epoch loss=1.962606
Batch=539, step=4140, lr=0.183000, batch loss=0.199969, epoch loss=2.162575
Batch=599, step=4200, lr=0.182750, batch loss=0.242643, epoch loss=2.405218
Batch=659, step=4260, lr=0.182500, batch loss=0.327756, epoch loss=2.732975
Batch=719, step=4320, lr=0.182250, batch loss=0.330862, epoch loss=3.063837
Batch=779, step=4380, lr=0.182000, batch loss=0.349736, epoch loss=3.413572
Batch=839, step=4440, lr=0.181750, batch loss=0.317840, epoch loss=3.731412
Batch=899, step=4500, lr=0.181500, batch loss=0.285759, epoch loss=4.017171
Batch=959, step=4560, lr=0.181250, batch loss=0.239665, epoch loss=4.256836
Batch=1019, step=4620, lr=0.181000, batch loss=0.332964, epoch loss=4.589800
Batch=1079, step=4680, lr=0.180750, batch loss=0.195763, epoch loss=4.785564
Batch=1139, step=4740, lr=0.180500, batch loss=0.229048, epoch loss=5.014611
Batch=1199, step=4800, lr=0.180250, batch loss=0.193322, epoch loss=5.207933
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207933
Batch=59, step=4860, lr=0.180000, batch loss=0.234178, epoch loss=0.234178
Batch=119, step=4920, lr=0.179750, batch loss=0.192061, epoch loss=0.426239
Batch=179, step=4980, lr=0.179500, batch loss=0.205729, epoch loss=0.631968
Batch=239, step=5040, lr=0.179250, batch loss=0.307550, epoch loss=0.939518
Batch=299, step=5100, lr=0.179000, batch loss=0.205964, epoch loss=1.145482
Batch=359, step=5160, lr=0.178750, batch loss=0.270808, epoch loss=1.416290
Batch=419, step=5220, lr=0.178500, batch loss=0.265482, epoch loss=1.681772
Batch=479, step=5280, lr=0.178250, batch loss=0.242009, epoch loss=1.923781
Batch=539, step=5340, lr=0.178000, batch loss=0.195155, epoch loss=2.118937
Batch=599, step=5400, lr=0.177750, batch loss=0.243550, epoch loss=2.362487
Batch=659, step=5460, lr=0.177500, batch loss=0.317072, epoch loss=2.679559
Batch=719, step=5520, lr=0.177250, batch loss=0.317778, epoch loss=2.997336
Batch=779, step=5580, lr=0.177000, batch loss=0.343116, epoch loss=3.340452
Batch=839, step=5640, lr=0.176750, batch loss=0.308260, epoch loss=3.648713
Batch=899, step=5700, lr=0.176500, batch loss=0.273804, epoch loss=3.922517
Batch=959, step=5760, lr=0.176250, batch loss=0.210798, epoch loss=4.133314
Batch=1019, step=5820, lr=0.176000, batch loss=0.338733, epoch loss=4.472047
Batch=1079, step=5880, lr=0.175750, batch loss=0.201360, epoch loss=4.673407
Batch=1139, step=5940, lr=0.175500, batch loss=0.242991, epoch loss=4.916399
Batch=1199, step=6000, lr=0.175000, batch loss=0.185393, epoch loss=5.101792
Epoch=4, step=6000, lr=0.175000, epoch loss=5.101792
Batch=59, step=6060, lr=0.175000, batch loss=0.226415, epoch loss=0.226415
Batch=119, step=6120, lr=0.174500, batch loss=0.184044, epoch loss=0.410459
Batch=179, step=6180, lr=0.174500, batch loss=0.201414, epoch loss=0.611873
Batch=239, step=6240, lr=0.174250, batch loss=0.301251, epoch loss=0.913123
Batch=299, step=6300, lr=0.174000, batch loss=0.205744, epoch loss=1.118868
Batch=359, step=6360, lr=0.173750, batch loss=0.264921, epoch loss=1.383788
Batch=419, step=6420, lr=0.173250, batch loss=0.261352, epoch loss=1.645141
Batch=479, step=6480, lr=0.173250, batch loss=0.241142, epoch loss=1.886283
Batch=539, step=6540, lr=0.173000, batch loss=0.196369, epoch loss=2.082653
Batch=599, step=6600, lr=0.172750, batch loss=0.232295, epoch loss=2.314947
Batch=659, step=6660, lr=0.172250, batch loss=0.313663, epoch loss=2.628610
Batch=719, step=6720, lr=0.172250, batch loss=0.316610, epoch loss=2.945221
Batch=779, step=6780, lr=0.172000, batch loss=0.331004, epoch loss=3.276225
Batch=839, step=6840, lr=0.171500, batch loss=0.306227, epoch loss=3.582452
Batch=899, step=6900, lr=0.171500, batch loss=0.268634, epoch loss=3.851085
Batch=959, step=6960, lr=0.171000, batch loss=0.207509, epoch loss=4.058594
Batch=1019, step=7020, lr=0.171000, batch loss=0.331403, epoch loss=4.389997
Batch=1079, step=7080, lr=0.170750, batch loss=0.180666, epoch loss=4.570663
Batch=1139, step=7140, lr=0.170500, batch loss=0.216836, epoch loss=4.787499
Batch=1199, step=7200, lr=0.170250, batch loss=0.182253, epoch loss=4.969752
Epoch=5, step=7200, lr=0.170250, epoch loss=4.969752
Batch=59, step=7260, lr=0.170000, batch loss=0.240195, epoch loss=0.240195
Batch=119, step=7320, lr=0.169500, batch loss=0.179732, epoch loss=0.419927
Batch=179, step=7380, lr=0.169500, batch loss=0.195265, epoch loss=0.615192
Batch=239, step=7440, lr=0.169250, batch loss=0.292277, epoch loss=0.907469
Batch=299, step=7500, lr=0.169000, batch loss=0.207883, epoch loss=1.115352
Batch=359, step=7560, lr=0.168750, batch loss=0.261265, epoch loss=1.376617
Batch=419, step=7620, lr=0.168500, batch loss=0.253885, epoch loss=1.630502
Batch=479, step=7680, lr=0.168250, batch loss=0.232179, epoch loss=1.862681
Batch=539, step=7740, lr=0.168000, batch loss=0.185262, epoch loss=2.047942
Batch=599, step=7800, lr=0.167750, batch loss=0.227473, epoch loss=2.275415
Batch=659, step=7860, lr=0.167500, batch loss=0.304143, epoch loss=2.579559
Batch=719, step=7920, lr=0.167250, batch loss=0.308471, epoch loss=2.888030
Batch=779, step=7980, lr=0.166750, batch loss=0.325033, epoch loss=3.213062
Batch=839, step=8040, lr=0.166750, batch loss=0.293981, epoch loss=3.507044
Batch=899, step=8100, lr=0.166250, batch loss=0.261124, epoch loss=3.768168
Batch=959, step=8160, lr=0.166250, batch loss=0.202628, epoch loss=3.970796
Batch=1019, step=8220, lr=0.166000, batch loss=0.321707, epoch loss=4.292503
Batch=1079, step=8280, lr=0.165750, batch loss=0.194421, epoch loss=4.486924
Batch=1139, step=8340, lr=0.165250, batch loss=0.222628, epoch loss=4.709552
Batch=1199, step=8400, lr=0.165250, batch loss=0.174173, epoch loss=4.883725
Epoch=6, step=8400, lr=0.165250, epoch loss=4.883725
Batch=59, step=8460, lr=0.165000, batch loss=0.208684, epoch loss=0.208684
Batch=119, step=8520, lr=0.164750, batch loss=0.173893, epoch loss=0.382578
Batch=179, step=8580, lr=0.164500, batch loss=0.188108, epoch loss=0.570685
Batch=239, step=8640, lr=0.164250, batch loss=0.277708, epoch loss=0.848394
Batch=299, step=8700, lr=0.164000, batch loss=0.192360, epoch loss=1.040754
Batch=359, step=8760, lr=0.163750, batch loss=0.247237, epoch loss=1.287992
Batch=419, step=8820, lr=0.163500, batch loss=0.244281, epoch loss=1.532273
Batch=479, step=8880, lr=0.163250, batch loss=0.229329, epoch loss=1.761602
Batch=539, step=8940, lr=0.163000, batch loss=0.177066, epoch loss=1.938668
Batch=599, step=9000, lr=0.162750, batch loss=0.218891, epoch loss=2.157559
Batch=659, step=9060, lr=0.162500, batch loss=0.293481, epoch loss=2.451040
Batch=719, step=9120, lr=0.162250, batch loss=0.296901, epoch loss=2.747941
Batch=779, step=9180, lr=0.162000, batch loss=0.314034, epoch loss=3.061975
Batch=839, step=9240, lr=0.161750, batch loss=0.281870, epoch loss=3.343845
Batch=899, step=9300, lr=0.161500, batch loss=0.252313, epoch loss=3.596158
Batch=959, step=9360, lr=0.161000, batch loss=0.187474, epoch loss=3.783632
Batch=1019, step=9420, lr=0.161000, batch loss=0.317534, epoch loss=4.101166
Batch=1079, step=9480, lr=0.160750, batch loss=0.184655, epoch loss=4.285822
Batch=1139, step=9540, lr=0.160500, batch loss=0.206824, epoch loss=4.492646
Batch=1199, step=9600, lr=0.160250, batch loss=0.166068, epoch loss=4.658714
Epoch=7, step=9600, lr=0.160250, epoch loss=4.658714
Batch=59, step=9660, lr=0.160000, batch loss=0.201648, epoch loss=0.201648
Batch=119, step=9720, lr=0.159750, batch loss=0.162110, epoch loss=0.363758
Batch=179, step=9780, lr=0.159500, batch loss=0.179283, epoch loss=0.543040
Batch=239, step=9840, lr=0.159250, batch loss=0.261101, epoch loss=0.804142
Batch=299, step=9900, lr=0.159000, batch loss=0.186443, epoch loss=0.990585
Batch=359, step=9960, lr=0.158750, batch loss=0.241264, epoch loss=1.231850
Batch=419, step=10020, lr=0.158500, batch loss=0.233127, epoch loss=1.464977
Batch=479, step=10080, lr=0.158250, batch loss=0.220300, epoch loss=1.685276
Batch=539, step=10140, lr=0.158000, batch loss=0.169878, epoch loss=1.855154
Batch=599, step=10200, lr=0.157750, batch loss=0.203244, epoch loss=2.058398
Batch=659, step=10260, lr=0.157500, batch loss=0.280633, epoch loss=2.339031
Batch=719, step=10320, lr=0.157250, batch loss=0.287647, epoch loss=2.626678
Batch=779, step=10380, lr=0.157000, batch loss=0.293325, epoch loss=2.920003
Batch=839, step=10440, lr=0.156750, batch loss=0.266206, epoch loss=3.186209
Batch=899, step=10500, lr=0.156250, batch loss=0.241453, epoch loss=3.427662
Batch=959, step=10560, lr=0.156250, batch loss=0.198050, epoch loss=3.625712
Batch=1019, step=10620, lr=0.156000, batch loss=0.279481, epoch loss=3.905194
Batch=1079, step=10680, lr=0.155750, batch loss=0.163453, epoch loss=4.068647
Batch=1139, step=10740, lr=0.155500, batch loss=0.186066, epoch loss=4.254713
Batch=1199, step=10800, lr=0.155250, batch loss=0.154320, epoch loss=4.409033
Epoch=8, step=10800, lr=0.155250, epoch loss=4.409033
Batch=59, step=10860, lr=0.155000, batch loss=0.180649, epoch loss=0.180649
Batch=119, step=10920, lr=0.154750, batch loss=0.155107, epoch loss=0.335756
Batch=179, step=10980, lr=0.154500, batch loss=0.166482, epoch loss=0.502238
Batch=239, step=11040, lr=0.154250, batch loss=0.245168, epoch loss=0.747405
Batch=299, step=11100, lr=0.153750, batch loss=0.161950, epoch loss=0.909356
Batch=359, step=11160, lr=0.153750, batch loss=0.226879, epoch loss=1.136235
Batch=419, step=11220, lr=0.153500, batch loss=0.230660, epoch loss=1.366895
Batch=479, step=11280, lr=0.153250, batch loss=0.200920, epoch loss=1.567815
Batch=539, step=11340, lr=0.152750, batch loss=0.160277, epoch loss=1.728092
Batch=599, step=11400, lr=0.152750, batch loss=0.182455, epoch loss=1.910547
Batch=659, step=11460, lr=0.152500, batch loss=0.261395, epoch loss=2.171942
Batch=719, step=11520, lr=0.152250, batch loss=0.264075, epoch loss=2.436018
Batch=779, step=11580, lr=0.151750, batch loss=0.268909, epoch loss=2.704927
Batch=839, step=11640, lr=0.151750, batch loss=0.251647, epoch loss=2.956574
Batch=899, step=11700, lr=0.151500, batch loss=0.216383, epoch loss=3.172957
Batch=959, step=11760, lr=0.151250, batch loss=0.166238, epoch loss=3.339195
Batch=1019, step=11820, lr=0.151000, batch loss=0.269502, epoch loss=3.608697
Batch=1079, step=11880, lr=0.150750, batch loss=0.151457, epoch loss=3.760154
Batch=1139, step=11940, lr=0.150500, batch loss=0.191052, epoch loss=3.951206
Batch=1199, step=12000, lr=0.150250, batch loss=0.139098, epoch loss=4.090304
Epoch=9, step=12000, lr=0.150250, epoch loss=4.090304
Batch=59, step=12060, lr=0.149750, batch loss=0.160493, epoch loss=0.160493
Batch=119, step=12120, lr=0.149750, batch loss=0.137364, epoch loss=0.297858
Batch=179, step=12180, lr=0.149500, batch loss=0.151051, epoch loss=0.448909
Batch=239, step=12240, lr=0.149250, batch loss=0.218459, epoch loss=0.667368
Batch=299, step=12300, lr=0.149000, batch loss=0.143541, epoch loss=0.810909
Batch=359, step=12360, lr=0.148750, batch loss=0.195470, epoch loss=1.006379
Batch=419, step=12420, lr=0.148500, batch loss=0.207765, epoch loss=1.214145
Batch=479, step=12480, lr=0.148250, batch loss=0.177997, epoch loss=1.392141
Batch=539, step=12540, lr=0.148000, batch loss=0.143297, epoch loss=1.535438
Batch=599, step=12600, lr=0.147750, batch loss=0.148704, epoch loss=1.684143
Batch=659, step=12660, lr=0.147500, batch loss=0.221325, epoch loss=1.905467
Batch=719, step=12720, lr=0.147250, batch loss=0.229030, epoch loss=2.134497
Batch=779, step=12780, lr=0.147000, batch loss=0.243223, epoch loss=2.377721
Batch=839, step=12840, lr=0.146750, batch loss=0.225590, epoch loss=2.603311
Batch=899, step=12900, lr=0.146500, batch loss=0.190674, epoch loss=2.793985
Batch=959, step=12960, lr=0.146250, batch loss=0.169842, epoch loss=2.963827
Batch=1019, step=13020, lr=0.146000, batch loss=0.269190, epoch loss=3.233016
Batch=1079, step=13080, lr=0.145750, batch loss=0.114892, epoch loss=3.347908
Batch=1139, step=13140, lr=0.145500, batch loss=0.155040, epoch loss=3.502948
Batch=1199, step=13200, lr=0.145250, batch loss=0.117541, epoch loss=3.620489
Epoch=10, step=13200, lr=0.145250, epoch loss=3.620489
Batch=59, step=13260, lr=0.145000, batch loss=0.137560, epoch loss=0.137560
Batch=119, step=13320, lr=0.144750, batch loss=0.116824, epoch loss=0.254384
Batch=179, step=13380, lr=0.144500, batch loss=0.128334, epoch loss=0.382719
Batch=239, step=13440, lr=0.144250, batch loss=0.193483, epoch loss=0.576202
Batch=299, step=13500, lr=0.144000, batch loss=0.124656, epoch loss=0.700857
Batch=359, step=13560, lr=0.143750, batch loss=0.160570, epoch loss=0.861427
Batch=419, step=13620, lr=0.143500, batch loss=0.160793, epoch loss=1.022220
Batch=479, step=13680, lr=0.143250, batch loss=0.147600, epoch loss=1.169820
Batch=539, step=13740, lr=0.143000, batch loss=0.118389, epoch loss=1.288209
Batch=599, step=13800, lr=0.142750, batch loss=0.120060, epoch loss=1.408269
Batch=659, step=13860, lr=0.142500, batch loss=0.176109, epoch loss=1.584378
Batch=719, step=13920, lr=0.142250, batch loss=0.177519, epoch loss=1.761897
Batch=779, step=13980, lr=0.142000, batch loss=0.197113, epoch loss=1.959010
Batch=839, step=14040, lr=0.141750, batch loss=0.189438, epoch loss=2.148448
Batch=899, step=14100, lr=0.141500, batch loss=0.178809, epoch loss=2.327258
Batch=959, step=14160, lr=0.141250, batch loss=0.137301, epoch loss=2.464559
Batch=1019, step=14220, lr=0.141000, batch loss=0.269985, epoch loss=2.734544
Batch=1079, step=14280, lr=0.140750, batch loss=0.073089, epoch loss=2.807633
Batch=1139, step=14340, lr=0.140500, batch loss=0.122410, epoch loss=2.930043
Batch=1199, step=14400, lr=0.140250, batch loss=0.091060, epoch loss=3.021103
Epoch=11, step=14400, lr=0.140250, epoch loss=3.021103
Batch=59, step=14460, lr=0.140000, batch loss=0.126992, epoch loss=0.126992
Batch=119, step=14520, lr=0.139750, batch loss=0.125447, epoch loss=0.252438
Batch=179, step=14580, lr=0.139500, batch loss=0.112075, epoch loss=0.364513
Batch=239, step=14640, lr=0.139250, batch loss=0.140359, epoch loss=0.504873
Batch=299, step=14700, lr=0.138750, batch loss=0.075561, epoch loss=0.580434
Batch=359, step=14760, lr=0.138500, batch loss=0.123454, epoch loss=0.703888
Batch=419, step=14820, lr=0.138500, batch loss=0.131607, epoch loss=0.835494
Batch=479, step=14880, lr=0.138250, batch loss=0.099131, epoch loss=0.934625
Batch=539, step=14940, lr=0.138000, batch loss=0.088594, epoch loss=1.023219
Batch=599, step=15000, lr=0.137750, batch loss=0.085814, epoch loss=1.109033
Batch=659, step=15060, lr=0.137250, batch loss=0.135849, epoch loss=1.244883
Batch=719, step=15120, lr=0.137250, batch loss=0.175519, epoch loss=1.420402
Batch=779, step=15180, lr=0.137000, batch loss=0.322959, epoch loss=1.743361
Batch=839, step=15240, lr=0.136750, batch loss=0.133744, epoch loss=1.877105
Batch=899, step=15300, lr=0.136250, batch loss=0.111636, epoch loss=1.988741
Batch=959, step=15360, lr=0.136250, batch loss=0.101064, epoch loss=2.089804
Batch=1019, step=15420, lr=0.136000, batch loss=0.163878, epoch loss=2.253682
Batch=1079, step=15480, lr=0.135500, batch loss=0.042979, epoch loss=2.296662
Batch=1139, step=15540, lr=0.135250, batch loss=0.092727, epoch loss=2.389388
Batch=1199, step=15600, lr=0.135250, batch loss=0.060116, epoch loss=2.449504
Epoch=12, step=15600, lr=0.135250, epoch loss=2.449504
Batch=59, step=15660, lr=0.135000, batch loss=0.089547, epoch loss=0.089547
Batch=119, step=15720, lr=0.134750, batch loss=0.136709, epoch loss=0.226256
Batch=179, step=15780, lr=0.134500, batch loss=0.099537, epoch loss=0.325793
Batch=239, step=15840, lr=0.134250, batch loss=0.098971, epoch loss=0.424764
Batch=299, step=15900, lr=0.134000, batch loss=0.046296, epoch loss=0.471060
Batch=359, step=15960, lr=0.133750, batch loss=0.087535, epoch loss=0.558595
Batch=419, step=16020, lr=0.133250, batch loss=0.078529, epoch loss=0.637124
Batch=479, step=16080, lr=0.133000, batch loss=0.058680, epoch loss=0.695804
Batch=539, step=16140, lr=0.133000, batch loss=0.067498, epoch loss=0.763302
Batch=599, step=16200, lr=0.132750, batch loss=0.145274, epoch loss=0.908576
Batch=659, step=16260, lr=0.132500, batch loss=0.088047, epoch loss=0.996622
Batch=719, step=16320, lr=0.132250, batch loss=0.122144, epoch loss=1.118766
Batch=779, step=16380, lr=0.131750, batch loss=0.259803, epoch loss=1.378569
Batch=839, step=16440, lr=0.131500, batch loss=0.089401, epoch loss=1.467969
Batch=899, step=16500, lr=0.131500, batch loss=0.074017, epoch loss=1.541986
Batch=959, step=16560, lr=0.131000, batch loss=0.039946, epoch loss=1.581932
Batch=1019, step=16620, lr=0.131000, batch loss=0.091841, epoch loss=1.673773
Batch=1079, step=16680, lr=0.130750, batch loss=0.028975, epoch loss=1.702748
Batch=1139, step=16740, lr=0.130500, batch loss=0.066387, epoch loss=1.769135
Batch=1199, step=16800, lr=0.130250, batch loss=0.031612, epoch loss=1.800747
Epoch=13, step=16800, lr=0.130250, epoch loss=1.800747
Batch=59, step=16860, lr=0.130000, batch loss=0.038253, epoch loss=0.038253
Batch=119, step=16920, lr=0.129750, batch loss=0.045839, epoch loss=0.084093
Batch=179, step=16980, lr=0.129500, batch loss=0.046602, epoch loss=0.130695
Batch=239, step=17040, lr=0.129250, batch loss=0.077431, epoch loss=0.208126
Batch=299, step=17100, lr=0.129000, batch loss=0.075045, epoch loss=0.283171
Batch=359, step=17160, lr=0.128750, batch loss=0.052655, epoch loss=0.335826
Batch=419, step=17220, lr=0.128500, batch loss=0.055594, epoch loss=0.391420
Batch=479, step=17280, lr=0.128250, batch loss=0.025354, epoch loss=0.416774
Batch=539, step=17340, lr=0.128000, batch loss=0.032692, epoch loss=0.449466
Batch=599, step=17400, lr=0.127750, batch loss=0.035375, epoch loss=0.484842
Batch=659, step=17460, lr=0.127500, batch loss=0.048935, epoch loss=0.533776
Batch=719, step=17520, lr=0.127250, batch loss=0.043831, epoch loss=0.577607
Batch=779, step=17580, lr=0.127000, batch loss=0.082776, epoch loss=0.660383
Batch=839, step=17640, lr=0.126750, batch loss=0.163134, epoch loss=0.823517
Batch=899, step=17700, lr=0.126500, batch loss=0.059608, epoch loss=0.883125
Batch=959, step=17760, lr=0.126250, batch loss=0.020876, epoch loss=0.904001
Batch=1019, step=17820, lr=0.126000, batch loss=0.031898, epoch loss=0.935899
Batch=1079, step=17880, lr=0.125750, batch loss=0.011261, epoch loss=0.947159
Batch=1139, step=17940, lr=0.125500, batch loss=0.032287, epoch loss=0.979446
Batch=1199, step=18000, lr=0.125250, batch loss=0.014889, epoch loss=0.994334
Epoch=14, step=18000, lr=0.125250, epoch loss=0.994334
Batch=59, step=18060, lr=0.125000, batch loss=0.012626, epoch loss=0.012626
Batch=119, step=18120, lr=0.124500, batch loss=0.023123, epoch loss=0.035748
Batch=179, step=18180, lr=0.124500, batch loss=0.047522, epoch loss=0.083271
Batch=239, step=18240, lr=0.124250, batch loss=0.035842, epoch loss=0.119112
Batch=299, step=18300, lr=0.123750, batch loss=0.008940, epoch loss=0.128052
Batch=359, step=18360, lr=0.123750, batch loss=0.025149, epoch loss=0.153201
Batch=419, step=18420, lr=0.123500, batch loss=0.027773, epoch loss=0.180974
Batch=479, step=18480, lr=0.123250, batch loss=0.012433, epoch loss=0.193406
Batch=539, step=18540, lr=0.123000, batch loss=0.021696, epoch loss=0.215102
Batch=599, step=18600, lr=0.122500, batch loss=0.026873, epoch loss=0.241976
Batch=659, step=18660, lr=0.122500, batch loss=0.026110, epoch loss=0.268085
Batch=719, step=18720, lr=0.122000, batch loss=0.024772, epoch loss=0.292857
Batch=779, step=18780, lr=0.122000, batch loss=0.032697, epoch loss=0.325555
Batch=839, step=18840, lr=0.121750, batch loss=0.040101, epoch loss=0.365655
Batch=899, step=18900, lr=0.121500, batch loss=0.036575, epoch loss=0.402231
Batch=959, step=18960, lr=0.121250, batch loss=0.031983, epoch loss=0.434213
Batch=1019, step=19020, lr=0.121000, batch loss=0.059134, epoch loss=0.493347
Batch=1079, step=19080, lr=0.120750, batch loss=0.017383, epoch loss=0.510729
Batch=1139, step=19140, lr=0.120500, batch loss=0.027818, epoch loss=0.538547
Batch=1199, step=19200, lr=0.120250, batch loss=0.011465, epoch loss=0.550013
Epoch=15, step=19200, lr=0.120250, epoch loss=0.550013
Batch=59, step=19260, lr=0.120000, batch loss=0.010134, epoch loss=0.010134
Batch=119, step=19320, lr=0.119750, batch loss=0.033212, epoch loss=0.043347
Batch=179, step=19380, lr=0.119500, batch loss=0.083780, epoch loss=0.127126
Batch=239, step=19440, lr=0.119250, batch loss=0.033495, epoch loss=0.160622
Batch=299, step=19500, lr=0.119000, batch loss=0.010763, epoch loss=0.171385
Batch=359, step=19560, lr=0.118750, batch loss=0.024218, epoch loss=0.195602
Batch=419, step=19620, lr=0.118250, batch loss=0.020549, epoch loss=0.216151
Batch=479, step=19680, lr=0.118250, batch loss=0.007480, epoch loss=0.223632
Batch=539, step=19740, lr=0.118000, batch loss=0.019280, epoch loss=0.242912
Batch=599, step=19800, lr=0.117750, batch loss=0.026095, epoch loss=0.269007
Batch=659, step=19860, lr=0.117500, batch loss=0.018765, epoch loss=0.287771
Batch=719, step=19920, lr=0.117250, batch loss=0.038847, epoch loss=0.326618
Batch=779, step=19980, lr=0.117000, batch loss=0.085840, epoch loss=0.412458
Batch=839, step=20040, lr=0.116750, batch loss=0.031581, epoch loss=0.444039
Batch=899, step=20100, lr=0.116500, batch loss=0.033544, epoch loss=0.477583
Batch=959, step=20160, lr=0.116000, batch loss=0.011109, epoch loss=0.488692
Batch=1019, step=20220, lr=0.116000, batch loss=0.014173, epoch loss=0.502865
Batch=1079, step=20280, lr=0.115750, batch loss=0.002453, epoch loss=0.505318
Batch=1139, step=20340, lr=0.115500, batch loss=0.015536, epoch loss=0.520854
Batch=1199, step=20400, lr=0.115000, batch loss=0.008212, epoch loss=0.529066
Epoch=16, step=20400, lr=0.115000, epoch loss=0.529066
Batch=59, step=20460, lr=0.114750, batch loss=0.004147, epoch loss=0.004147
Batch=119, step=20520, lr=0.114750, batch loss=0.012440, epoch loss=0.016587
Batch=179, step=20580, lr=0.114500, batch loss=0.024151, epoch loss=0.040738
Batch=239, step=20640, lr=0.114250, batch loss=0.015881, epoch loss=0.056619
Batch=299, step=20700, lr=0.114000, batch loss=0.002845, epoch loss=0.059464
Batch=359, step=20760, lr=0.113500, batch loss=0.013051, epoch loss=0.072515
Batch=419, step=20820, lr=0.113500, batch loss=0.014344, epoch loss=0.086858
Batch=479, step=20880, lr=0.113000, batch loss=0.005365, epoch loss=0.092223
Batch=539, step=20940, lr=0.113000, batch loss=0.015387, epoch loss=0.107610
Batch=599, step=21000, lr=0.112750, batch loss=0.019028, epoch loss=0.126638
Batch=659, step=21060, lr=0.112500, batch loss=0.015382, epoch loss=0.142020
Batch=719, step=21120, lr=0.112250, batch loss=0.040424, epoch loss=0.182444
Batch=779, step=21180, lr=0.112000, batch loss=0.073034, epoch loss=0.255478
Batch=839, step=21240, lr=0.111750, batch loss=0.025979, epoch loss=0.281457
Batch=899, step=21300, lr=0.111500, batch loss=0.036444, epoch loss=0.317900
Batch=959, step=21360, lr=0.111250, batch loss=0.010085, epoch loss=0.327986
Batch=1019, step=21420, lr=0.111000, batch loss=0.010804, epoch loss=0.338789
Batch=1079, step=21480, lr=0.110750, batch loss=0.001243, epoch loss=0.340032
Batch=1139, step=21540, lr=0.110500, batch loss=0.013142, epoch loss=0.353174
Batch=1199, step=21600, lr=0.110250, batch loss=0.005172, epoch loss=0.358346
Epoch=17, step=21600, lr=0.110250, epoch loss=0.358346
Batch=59, step=21660, lr=0.110000, batch loss=0.002195, epoch loss=0.002195
Batch=119, step=21720, lr=0.109750, batch loss=0.006636, epoch loss=0.008831
Batch=179, step=21780, lr=0.109500, batch loss=0.013228, epoch loss=0.022060
Batch=239, step=21840, lr=0.109250, batch loss=0.011166, epoch loss=0.033225
Batch=299, step=21900, lr=0.109000, batch loss=0.013182, epoch loss=0.046407
Batch=359, step=21960, lr=0.108750, batch loss=0.013001, epoch loss=0.059408
Batch=419, step=22020, lr=0.108500, batch loss=0.013256, epoch loss=0.072664
Batch=479, step=22080, lr=0.108250, batch loss=0.003563, epoch loss=0.076227
Batch=539, step=22140, lr=0.108000, batch loss=0.015577, epoch loss=0.091804
Batch=599, step=22200, lr=0.107750, batch loss=0.015951, epoch loss=0.107755
Batch=659, step=22260, lr=0.107500, batch loss=0.013626, epoch loss=0.121381
Batch=719, step=22320, lr=0.107250, batch loss=0.023566, epoch loss=0.144947
Batch=779, step=22380, lr=0.107000, batch loss=0.038256, epoch loss=0.183204
Batch=839, step=22440, lr=0.106750, batch loss=0.024262, epoch loss=0.207466
Batch=899, step=22500, lr=0.106500, batch loss=0.030803, epoch loss=0.238269
Batch=959, step=22560, lr=0.106250, batch loss=0.008830, epoch loss=0.247099
Batch=1019, step=22620, lr=0.106000, batch loss=0.009246, epoch loss=0.256345
Batch=1079, step=22680, lr=0.105750, batch loss=0.000080, epoch loss=0.256425
Batch=1139, step=22740, lr=0.105500, batch loss=0.010775, epoch loss=0.267200
Batch=1199, step=22800, lr=0.105250, batch loss=0.004728, epoch loss=0.271928
Epoch=18, step=22800, lr=0.105250, epoch loss=0.271928
Batch=59, step=22860, lr=0.105000, batch loss=0.001572, epoch loss=0.001572
Batch=119, step=22920, lr=0.104750, batch loss=0.005563, epoch loss=0.007135
Batch=179, step=22980, lr=0.104500, batch loss=0.011522, epoch loss=0.018658
Batch=239, step=23040, lr=0.104250, batch loss=0.008851, epoch loss=0.027509
Batch=299, step=23100, lr=0.104000, batch loss=0.006362, epoch loss=0.033870
Batch=359, step=23160, lr=0.103750, batch loss=0.012722, epoch loss=0.046592
Batch=419, step=23220, lr=0.103500, batch loss=0.011583, epoch loss=0.058175
Batch=479, step=23280, lr=0.103250, batch loss=0.003363, epoch loss=0.061538
Batch=539, step=23340, lr=0.103000, batch loss=0.015476, epoch loss=0.077014
Batch=599, step=23400, lr=0.102750, batch loss=0.014334, epoch loss=0.091348
Batch=659, step=23460, lr=0.102250, batch loss=0.012297, epoch loss=0.103645
Batch=719, step=23520, lr=0.102000, batch loss=0.016779, epoch loss=0.120424
Batch=779, step=23580, lr=0.102000, batch loss=0.020619, epoch loss=0.141043
Batch=839, step=23640, lr=0.101750, batch loss=0.025762, epoch loss=0.166805
Batch=899, step=23700, lr=0.101500, batch loss=0.023328, epoch loss=0.190133
Batch=959, step=23760, lr=0.101250, batch loss=0.007856, epoch loss=0.197989
Batch=1019, step=23820, lr=0.100750, batch loss=0.008423, epoch loss=0.206412
Batch=1079, step=23880, lr=0.100500, batch loss=0.000783, epoch loss=0.207195
Batch=1139, step=23940, lr=0.100250, batch loss=0.009879, epoch loss=0.217074
Batch=1199, step=24000, lr=0.100250, batch loss=0.004800, epoch loss=0.221874
Epoch=19, step=24000, lr=0.100250, epoch loss=0.221874


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 14:56.08 ---> saved as "af64dfc6b95a660128c8eb9f97a377f046c90774b7c6b38aaecfcfc3174a9297"
Job succeeded
2025-03-21 14:56.09: Job succeeded