ubuntu-22.04-5.3_opam-2.3

2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (linux-x86_64: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 15116260
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 16:19.55: 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 16:19.55: 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 16:19.55: Waiting for resource in pool OCluster
2025-03-21 16:19.55: Waiting for worker…
2025-03-21 16:19.57: Got resource from pool OCluster
Building on clete.caelum.ci.dev
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)
HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions


(from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18)
2025-03-21 16:20.48 ---> 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 16:20.48 ---> 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
Format upgrade done.
[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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 16:22.46 ---> 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 16:22.46 ---> saved as "d15d3dd480d27c7fd8aa5a3de30d468c1769f04fa3a4f1bedfa6f96e8d0510a7"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 16:22.47 ---> 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 16:24.33 ---> saved as "b9081b86d112f52a5b2a436010565648eb558bc6347fc2a7975c62c7dc1940c2"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 16:24.34 ---> 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 16:24.43 ---> saved as "807bbf37d939dd4092bca7d440ffb160e496426a2a69ad1632c1ddad40e79c0c"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 16:24.44 ---> 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/main amd64 Packages [3003 kB]
- Get:8 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1237 kB]
- Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1535 kB]
- Get:10 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [38.5 kB]
- Get:11 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [112 kB]
- Get:12 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [57.9 kB]
- Get:13 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [3798 kB]
- Get:14 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2692 kB]
- Fetched 16.9 MB in 3s (6717 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 16:25.40 ---> 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_fields_conv.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_hash.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_minidebug.2.1.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved 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 sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved tyxml.4.6.0  (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 printbox.0.12
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed base.v0.17.1
-> installed printbox-md.0.12
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> 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_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> 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_minidebug.2.1.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 16:30.39 ---> saved as "464c44eabc9d8b0a682db25e77e1f7f24616ebff7ea9a5548bedd54452f0c48f"


/src: (copy (src .) (dst /src))
2025-03-21 16:30.40 ---> saved as "5e083ad1367c9026b58e3050c9536f8cdd19ba07377183d28070959e0b7dfcc4"


/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/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/7cc09f6110602bf9c360bee9bc8cc9ab/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/42bd35201214c95a5312069ca6b852dd/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/42bd35201214c95a5312069ca6b852dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378
Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911
Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639
Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234
Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006
Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626
Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217
Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684
Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970
Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807
Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994
Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836
Batch=419, step=10020, lr=0.158250, batch loss=0.232979, epoch loss=1.461815
Batch=479, step=10080, lr=0.158250, batch loss=0.213141, epoch loss=1.674956
Batch=539, step=10140, lr=0.157750, batch loss=0.170759, epoch loss=1.845715
Batch=599, step=10200, lr=0.157500, batch loss=0.200101, epoch loss=2.045816
Batch=659, step=10260, lr=0.157500, batch loss=0.283080, epoch loss=2.328897
Batch=719, step=10320, lr=0.157000, batch loss=0.288681, epoch loss=2.617578
Batch=779, step=10380, lr=0.156750, batch loss=0.296868, epoch loss=2.914446
Batch=839, step=10440, lr=0.156750, batch loss=0.267634, epoch loss=3.182080
Batch=899, step=10500, lr=0.156500, batch loss=0.242759, epoch loss=3.424839
Batch=959, step=10560, lr=0.156250, batch loss=0.198592, epoch loss=3.623432
Batch=1019, step=10620, lr=0.156000, batch loss=0.295230, epoch loss=3.918661
Batch=1079, step=10680, lr=0.155750, batch loss=0.178561, epoch loss=4.097222
Batch=1139, step=10740, lr=0.155250, batch loss=0.205496, epoch loss=4.302718
Batch=1199, step=10800, lr=0.155250, batch loss=0.156105, epoch loss=4.458824
Epoch=8, step=10800, lr=0.155250, epoch loss=4.458824
Batch=59, step=10860, lr=0.155000, batch loss=0.177288, epoch loss=0.177288
Batch=119, step=10920, lr=0.154500, batch loss=0.152507, epoch loss=0.329795
Batch=179, step=10980, lr=0.154500, batch loss=0.167111, epoch loss=0.496906
Batch=239, step=11040, lr=0.154250, batch loss=0.242514, epoch loss=0.739420
Batch=299, step=11100, lr=0.154000, batch loss=0.170289, epoch loss=0.909709
Batch=359, step=11160, lr=0.153500, batch loss=0.221841, epoch loss=1.131551
Batch=419, step=11220, lr=0.153500, batch loss=0.229408, epoch loss=1.360958
Batch=479, step=11280, lr=0.153250, batch loss=0.202756, epoch loss=1.563714
Batch=539, step=11340, lr=0.153000, batch loss=0.159229, epoch loss=1.722944
Batch=599, step=11400, lr=0.152750, batch loss=0.178390, epoch loss=1.901334
Batch=659, step=11460, lr=0.152250, batch loss=0.264841, epoch loss=2.166175
Batch=719, step=11520, lr=0.152250, batch loss=0.256801, epoch loss=2.422976
Batch=779, step=11580, lr=0.152000, batch loss=0.273528, epoch loss=2.696504
Batch=839, step=11640, lr=0.151750, batch loss=0.255778, epoch loss=2.952282
Batch=899, step=11700, lr=0.151500, batch loss=0.213013, epoch loss=3.165296
Batch=959, step=11760, lr=0.151250, batch loss=0.168110, epoch loss=3.333405
Batch=1019, step=11820, lr=0.151000, batch loss=0.266278, epoch loss=3.599683
Batch=1079, step=11880, lr=0.150750, batch loss=0.149434, epoch loss=3.749117
Batch=1139, step=11940, lr=0.150500, batch loss=0.185639, epoch loss=3.934757
Batch=1199, step=12000, lr=0.150250, batch loss=0.139403, epoch loss=4.074159
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074159
Batch=59, step=12060, lr=0.150000, batch loss=0.157977, epoch loss=0.157977
Batch=119, step=12120, lr=0.149750, batch loss=0.128929, epoch loss=0.286906
Batch=179, step=12180, lr=0.149500, batch loss=0.150525, epoch loss=0.437431
Batch=239, step=12240, lr=0.149250, batch loss=0.223309, epoch loss=0.660740
Batch=299, step=12300, lr=0.149000, batch loss=0.142653, epoch loss=0.803393
Batch=359, step=12360, lr=0.148750, batch loss=0.195459, epoch loss=0.998853
Batch=419, step=12420, lr=0.148500, batch loss=0.206356, epoch loss=1.205208
Batch=479, step=12480, lr=0.148250, batch loss=0.178611, epoch loss=1.383819
Batch=539, step=12540, lr=0.148000, batch loss=0.142646, epoch loss=1.526465
Batch=599, step=12600, lr=0.147750, batch loss=0.150355, epoch loss=1.676820
Batch=659, step=12660, lr=0.147500, batch loss=0.225089, epoch loss=1.901909
Batch=719, step=12720, lr=0.147250, batch loss=0.235555, epoch loss=2.137464
Batch=779, step=12780, lr=0.147000, batch loss=0.252801, epoch loss=2.390265
Batch=839, step=12840, lr=0.146750, batch loss=0.225166, epoch loss=2.615431
Batch=899, step=12900, lr=0.146500, batch loss=0.185325, epoch loss=2.800757
Batch=959, step=12960, lr=0.146250, batch loss=0.149359, epoch loss=2.950115
Batch=1019, step=13020, lr=0.146000, batch loss=0.268098, epoch loss=3.218213
Batch=1079, step=13080, lr=0.145500, batch loss=0.114994, epoch loss=3.333207
Batch=1139, step=13140, lr=0.145500, batch loss=0.154987, epoch loss=3.488194
Batch=1199, step=13200, lr=0.145250, batch loss=0.118387, epoch loss=3.606581
Epoch=10, step=13200, lr=0.145250, epoch loss=3.606581
Batch=59, step=13260, lr=0.145000, batch loss=0.143446, epoch loss=0.143446
Batch=119, step=13320, lr=0.144750, batch loss=0.119538, epoch loss=0.262984
Batch=179, step=13380, lr=0.144500, batch loss=0.127431, epoch loss=0.390415
Batch=239, step=13440, lr=0.144250, batch loss=0.187270, epoch loss=0.577685
Batch=299, step=13500, lr=0.144000, batch loss=0.112218, epoch loss=0.689903
Batch=359, step=13560, lr=0.143750, batch loss=0.162311, epoch loss=0.852214
Batch=419, step=13620, lr=0.143500, batch loss=0.160496, epoch loss=1.012710
Batch=479, step=13680, lr=0.143250, batch loss=0.147352, epoch loss=1.160062
Batch=539, step=13740, lr=0.143000, batch loss=0.118058, epoch loss=1.278119
Batch=599, step=13800, lr=0.142750, batch loss=0.120016, epoch loss=1.398135
Batch=659, step=13860, lr=0.142500, batch loss=0.176073, epoch loss=1.574208
Batch=719, step=13920, lr=0.142250, batch loss=0.172593, epoch loss=1.746802
Batch=779, step=13980, lr=0.142000, batch loss=0.178576, epoch loss=1.925378
Batch=839, step=14040, lr=0.141750, batch loss=0.186203, epoch loss=2.111581
Batch=899, step=14100, lr=0.141500, batch loss=0.178364, epoch loss=2.289945
Batch=959, step=14160, lr=0.141250, batch loss=0.146031, epoch loss=2.435977
Batch=1019, step=14220, lr=0.141000, batch loss=0.330213, epoch loss=2.766190
Batch=1079, step=14280, lr=0.140750, batch loss=0.082668, epoch loss=2.848858
Batch=1139, step=14340, lr=0.140500, batch loss=0.122375, epoch loss=2.971233
Batch=1199, step=14400, lr=0.140250, batch loss=0.091854, epoch loss=3.063087
Epoch=11, step=14400, lr=0.140250, epoch loss=3.063087
Batch=59, step=14460, lr=0.140000, batch loss=0.112751, epoch loss=0.112751
Batch=119, step=14520, lr=0.139750, batch loss=0.102845, epoch loss=0.215596
Batch=179, step=14580, lr=0.139500, batch loss=0.105988, epoch loss=0.321584
Batch=239, step=14640, lr=0.139250, batch loss=0.141113, epoch loss=0.462698
Batch=299, step=14700, lr=0.139000, batch loss=0.081114, epoch loss=0.543812
Batch=359, step=14760, lr=0.138750, batch loss=0.125407, epoch loss=0.669218
Batch=419, step=14820, lr=0.138500, batch loss=0.129353, epoch loss=0.798571
Batch=479, step=14880, lr=0.138250, batch loss=0.101411, epoch loss=0.899982
Batch=539, step=14940, lr=0.138000, batch loss=0.090705, epoch loss=0.990688
Batch=599, step=15000, lr=0.137750, batch loss=0.085030, epoch loss=1.075718
Batch=659, step=15060, lr=0.137500, batch loss=0.129544, epoch loss=1.205261
Batch=719, step=15120, lr=0.137250, batch loss=0.121483, epoch loss=1.326744
Batch=779, step=15180, lr=0.137000, batch loss=0.134664, epoch loss=1.461409
Batch=839, step=15240, lr=0.136750, batch loss=0.174837, epoch loss=1.636246
Batch=899, step=15300, lr=0.136500, batch loss=0.294241, epoch loss=1.930487
Batch=959, step=15360, lr=0.136250, batch loss=0.059904, epoch loss=1.990392
Batch=1019, step=15420, lr=0.136000, batch loss=0.136270, epoch loss=2.126661
Batch=1079, step=15480, lr=0.135750, batch loss=0.049571, epoch loss=2.176233
Batch=1139, step=15540, lr=0.135500, batch loss=0.105994, epoch loss=2.282227
Batch=1199, step=15600, lr=0.135250, batch loss=0.062514, epoch loss=2.344741
Epoch=12, step=15600, lr=0.135250, epoch loss=2.344741
Batch=59, step=15660, lr=0.135000, batch loss=0.077268, epoch loss=0.077268
Batch=119, step=15720, lr=0.134750, batch loss=0.100515, epoch loss=0.177784
Batch=179, step=15780, lr=0.134500, batch loss=0.088384, epoch loss=0.266168
Batch=239, step=15840, lr=0.134250, batch loss=0.091333, epoch loss=0.357501
Batch=299, step=15900, lr=0.134000, batch loss=0.041652, epoch loss=0.399153
Batch=359, step=15960, lr=0.133750, batch loss=0.077815, epoch loss=0.476968
Batch=419, step=16020, lr=0.133500, batch loss=0.083865, epoch loss=0.560833
Batch=479, step=16080, lr=0.133250, batch loss=0.076943, epoch loss=0.637775
Batch=539, step=16140, lr=0.133000, batch loss=0.052574, epoch loss=0.690350
Batch=599, step=16200, lr=0.132750, batch loss=0.097962, epoch loss=0.788311
Batch=659, step=16260, lr=0.132500, batch loss=0.076257, epoch loss=0.864568
Batch=719, step=16320, lr=0.132250, batch loss=0.087008, epoch loss=0.951575
Batch=779, step=16380, lr=0.132000, batch loss=0.127815, epoch loss=1.079390
Batch=839, step=16440, lr=0.131750, batch loss=0.121478, epoch loss=1.200868
Batch=899, step=16500, lr=0.131500, batch loss=0.132914, epoch loss=1.333782
Batch=959, step=16560, lr=0.131250, batch loss=0.042668, epoch loss=1.376450
Batch=1019, step=16620, lr=0.131000, batch loss=0.102200, epoch loss=1.478650
Batch=1079, step=16680, lr=0.130750, batch loss=0.027834, epoch loss=1.506484
Batch=1139, step=16740, lr=0.130500, batch loss=0.056435, epoch loss=1.562919
Batch=1199, step=16800, lr=0.130250, batch loss=0.029557, epoch loss=1.592476
Epoch=13, step=16800, lr=0.130250, epoch loss=1.592476
Batch=59, step=16860, lr=0.130000, batch loss=0.038805, epoch loss=0.038805
Batch=119, step=16920, lr=0.129750, batch loss=0.065493, epoch loss=0.104298
Batch=179, step=16980, lr=0.129500, batch loss=0.053534, epoch loss=0.157832
Batch=239, step=17040, lr=0.129250, batch loss=0.063687, epoch loss=0.221519
Batch=299, step=17100, lr=0.129000, batch loss=0.025673, epoch loss=0.247192
Batch=359, step=17160, lr=0.128750, batch loss=0.046252, epoch loss=0.293444
Batch=419, step=17220, lr=0.128500, batch loss=0.047888, epoch loss=0.341331
Batch=479, step=17280, lr=0.128250, batch loss=0.030049, epoch loss=0.371380
Batch=539, step=17340, lr=0.128000, batch loss=0.054591, epoch loss=0.425971
Batch=599, step=17400, lr=0.127750, batch loss=0.034667, epoch loss=0.460638
Batch=659, step=17460, lr=0.127500, batch loss=0.045917, epoch loss=0.506555
Batch=719, step=17520, lr=0.127250, batch loss=0.040025, epoch loss=0.546580
Batch=779, step=17580, lr=0.127000, batch loss=0.060684, epoch loss=0.607264
Batch=839, step=17640, lr=0.126750, batch loss=0.075875, epoch loss=0.683139
Batch=899, step=17700, lr=0.126500, batch loss=0.123492, epoch loss=0.806631
Batch=959, step=17760, lr=0.126250, batch loss=0.032587, epoch loss=0.839218
Batch=1019, step=17820, lr=0.126000, batch loss=0.060151, epoch loss=0.899369
Batch=1079, step=17880, lr=0.125750, batch loss=0.018879, epoch loss=0.918248
Batch=1139, step=17940, lr=0.125500, batch loss=0.037620, epoch loss=0.955868
Batch=1199, step=18000, lr=0.125250, batch loss=0.017873, epoch loss=0.973741
Epoch=14, step=18000, lr=0.125250, epoch loss=0.973741
Batch=59, step=18060, lr=0.125000, batch loss=0.012419, epoch loss=0.012419
Batch=119, step=18120, lr=0.124750, batch loss=0.019376, epoch loss=0.031795
Batch=179, step=18180, lr=0.124500, batch loss=0.029053, epoch loss=0.060848
Batch=239, step=18240, lr=0.124250, batch loss=0.032973, epoch loss=0.093821
Batch=299, step=18300, lr=0.124000, batch loss=0.009113, epoch loss=0.102933
Batch=359, step=18360, lr=0.123750, batch loss=0.024491, epoch loss=0.127425
Batch=419, step=18420, lr=0.123500, batch loss=0.036105, epoch loss=0.163530
Batch=479, step=18480, lr=0.123250, batch loss=0.019544, epoch loss=0.183074
Batch=539, step=18540, lr=0.123000, batch loss=0.033544, epoch loss=0.216618
Batch=599, step=18600, lr=0.122750, batch loss=0.024659, epoch loss=0.241276
Batch=659, step=18660, lr=0.122500, batch loss=0.030383, epoch loss=0.271660
Batch=719, step=18720, lr=0.122250, batch loss=0.020812, epoch loss=0.292471
Batch=779, step=18780, lr=0.122000, batch loss=0.035271, epoch loss=0.327742
Batch=839, step=18840, lr=0.121750, batch loss=0.040251, epoch loss=0.367994
Batch=899, step=18900, lr=0.121500, batch loss=0.036052, epoch loss=0.404046
Batch=959, step=18960, lr=0.121250, batch loss=0.026493, epoch loss=0.430539
Batch=1019, step=19020, lr=0.121000, batch loss=0.059587, epoch loss=0.490125
Batch=1079, step=19080, lr=0.120750, batch loss=0.012289, epoch loss=0.502414
Batch=1139, step=19140, lr=0.120500, batch loss=0.021827, epoch loss=0.524241
Batch=1199, step=19200, lr=0.120250, batch loss=0.009629, epoch loss=0.533870
Epoch=15, step=19200, lr=0.120250, epoch loss=0.533870
Batch=59, step=19260, lr=0.120000, batch loss=0.005303, epoch loss=0.005303
Batch=119, step=19320, lr=0.119750, batch loss=0.019259, epoch loss=0.024562
Batch=179, step=19380, lr=0.119500, batch loss=0.050080, epoch loss=0.074641
Batch=239, step=19440, lr=0.119250, batch loss=0.020878, epoch loss=0.095519
Batch=299, step=19500, lr=0.119000, batch loss=0.012592, epoch loss=0.108111
Batch=359, step=19560, lr=0.118750, batch loss=0.022059, epoch loss=0.130171
Batch=419, step=19620, lr=0.118500, batch loss=0.019332, epoch loss=0.149502
Batch=479, step=19680, lr=0.118250, batch loss=0.005991, epoch loss=0.155493
Batch=539, step=19740, lr=0.118000, batch loss=0.019618, epoch loss=0.175110
Batch=599, step=19800, lr=0.117750, batch loss=0.023264, epoch loss=0.198374
Batch=659, step=19860, lr=0.117500, batch loss=0.018212, epoch loss=0.216586
Batch=719, step=19920, lr=0.117250, batch loss=0.052046, epoch loss=0.268632
Batch=779, step=19980, lr=0.117000, batch loss=0.077173, epoch loss=0.345805
Batch=839, step=20040, lr=0.116750, batch loss=0.031139, epoch loss=0.376944
Batch=899, step=20100, lr=0.116500, batch loss=0.033490, epoch loss=0.410434
Batch=959, step=20160, lr=0.116250, batch loss=0.015551, epoch loss=0.425985
Batch=1019, step=20220, lr=0.116000, batch loss=0.016805, epoch loss=0.442790
Batch=1079, step=20280, lr=0.115750, batch loss=0.001384, epoch loss=0.444174
Batch=1139, step=20340, lr=0.115500, batch loss=0.015576, epoch loss=0.459750
Batch=1199, step=20400, lr=0.115250, batch loss=0.006393, epoch loss=0.466143
Epoch=16, step=20400, lr=0.115250, epoch loss=0.466143
Batch=59, step=20460, lr=0.115000, batch loss=0.003019, epoch loss=0.003019
Batch=119, step=20520, lr=0.114750, batch loss=0.010099, epoch loss=0.013118
Batch=179, step=20580, lr=0.114500, batch loss=0.020064, epoch loss=0.033182
Batch=239, step=20640, lr=0.114250, batch loss=0.020096, epoch loss=0.053278
Batch=299, step=20700, lr=0.114000, batch loss=0.008335, epoch loss=0.061613
Batch=359, step=20760, lr=0.113750, batch loss=0.013603, epoch loss=0.075216
Batch=419, step=20820, lr=0.113500, batch loss=0.014805, epoch loss=0.090021
Batch=479, step=20880, lr=0.113250, batch loss=0.005110, epoch loss=0.095131
Batch=539, step=20940, lr=0.113000, batch loss=0.015610, epoch loss=0.110741
Batch=599, step=21000, lr=0.112750, batch loss=0.018059, epoch loss=0.128800
Batch=659, step=21060, lr=0.112500, batch loss=0.013651, epoch loss=0.142451
Batch=719, step=21120, lr=0.112250, batch loss=0.033010, epoch loss=0.175461
Batch=779, step=21180, lr=0.112000, batch loss=0.061023, epoch loss=0.236484
Batch=839, step=21240, lr=0.111750, batch loss=0.024265, epoch loss=0.260749
Batch=899, step=21300, lr=0.111500, batch loss=0.028202, epoch loss=0.288950
Batch=959, step=21360, lr=0.111250, batch loss=0.011217, epoch loss=0.300167
Batch=1019, step=21420, lr=0.111000, batch loss=0.013944, epoch loss=0.314112
Batch=1079, step=21480, lr=0.110750, batch loss=0.000119, epoch loss=0.314231
Batch=1139, step=21540, lr=0.110500, batch loss=0.012083, epoch loss=0.326314
Batch=1199, step=21600, lr=0.110250, batch loss=0.007735, epoch loss=0.334049
Epoch=17, step=21600, lr=0.110250, epoch loss=0.334049
Batch=59, step=21660, lr=0.110000, batch loss=0.003585, epoch loss=0.003585
Batch=119, step=21720, lr=0.109750, batch loss=0.006644, epoch loss=0.010229
Batch=179, step=21780, lr=0.109500, batch loss=0.011967, epoch loss=0.022196
Batch=239, step=21840, lr=0.109250, batch loss=0.009791, epoch loss=0.031986
Batch=299, step=21900, lr=0.109000, batch loss=0.005447, epoch loss=0.037433
Batch=359, step=21960, lr=0.108750, batch loss=0.011660, epoch loss=0.049093
Batch=419, step=22020, lr=0.108500, batch loss=0.011791, epoch loss=0.060885
Batch=479, step=22080, lr=0.108250, batch loss=0.003276, epoch loss=0.064161
Batch=539, step=22140, lr=0.108000, batch loss=0.015757, epoch loss=0.079918
Batch=599, step=22200, lr=0.107750, batch loss=0.015590, epoch loss=0.095508
Batch=659, step=22260, lr=0.107500, batch loss=0.011779, epoch loss=0.107286
Batch=719, step=22320, lr=0.107250, batch loss=0.018393, epoch loss=0.125679
Batch=779, step=22380, lr=0.107000, batch loss=0.023506, epoch loss=0.149185
Batch=839, step=22440, lr=0.106750, batch loss=0.025374, epoch loss=0.174559
Batch=899, step=22500, lr=0.106500, batch loss=0.028772, epoch loss=0.203331
Batch=959, step=22560, lr=0.106250, batch loss=0.008749, epoch loss=0.212081
Batch=1019, step=22620, lr=0.106000, batch loss=0.010414, epoch loss=0.222495
Batch=1079, step=22680, lr=0.105750, batch loss=0.000881, epoch loss=0.223376
Batch=1139, step=22740, lr=0.105500, batch loss=0.009936, epoch loss=0.233312
Batch=1199, step=22800, lr=0.105250, batch loss=0.005034, epoch loss=0.238345
Epoch=18, step=22800, lr=0.105250, epoch loss=0.238345
Batch=59, step=22860, lr=0.105000, batch loss=0.001733, epoch loss=0.001733
Batch=119, step=22920, lr=0.104750, batch loss=0.005280, epoch loss=0.007013
Batch=179, step=22980, lr=0.104500, batch loss=0.010523, epoch loss=0.017536
Batch=239, step=23040, lr=0.104250, batch loss=0.009551, epoch loss=0.027088
Batch=299, step=23100, lr=0.104000, batch loss=0.010825, epoch loss=0.037913
Batch=359, step=23160, lr=0.103750, batch loss=0.011876, epoch loss=0.049789
Batch=419, step=23220, lr=0.103500, batch loss=0.010250, epoch loss=0.060039
Batch=479, step=23280, lr=0.103250, batch loss=0.002232, epoch loss=0.062271
Batch=539, step=23340, lr=0.103000, batch loss=0.015819, epoch loss=0.078091
Batch=599, step=23400, lr=0.102750, batch loss=0.013348, epoch loss=0.091438
Batch=659, step=23460, lr=0.102500, batch loss=0.010131, epoch loss=0.101569
Batch=719, step=23520, lr=0.102250, batch loss=0.017857, epoch loss=0.119426
Batch=779, step=23580, lr=0.102000, batch loss=0.019547, epoch loss=0.138973
Batch=839, step=23640, lr=0.101750, batch loss=0.025697, epoch loss=0.164671
Batch=899, step=23700, lr=0.101500, batch loss=0.023190, epoch loss=0.187860
Batch=959, step=23760, lr=0.101250, batch loss=0.008315, epoch loss=0.196176
Batch=1019, step=23820, lr=0.101000, batch loss=0.007905, epoch loss=0.204080
Batch=1079, step=23880, lr=0.100750, batch loss=0.000467, epoch loss=0.204547
Batch=1139, step=23940, lr=0.100500, batch loss=0.009164, epoch loss=0.213711
Batch=1199, step=24000, lr=0.100250, batch loss=0.004715, epoch loss=0.218427
Epoch=19, step=24000, lr=0.100250, epoch loss=0.218427


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 16:31.26 ---> saved as "1aea9082c7e8d528519ee4ce15a60d20f1bb1f122c071a6649989511836879fb"
Job succeeded
2025-03-21 16:31.27: Job succeeded